Jimmy19991222
commited on
Commit
•
2a3fb49
1
Parent(s):
4feb98a
Upload folder using huggingface_hub
Browse files- README.md +75 -0
- all_results.json +22 -0
- checkpoint-467/config.json +29 -0
- checkpoint-467/generation_config.json +12 -0
- checkpoint-467/global_step467/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt +3 -0
- checkpoint-467/global_step467/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt +3 -0
- checkpoint-467/global_step467/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt +3 -0
- checkpoint-467/global_step467/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt +3 -0
- checkpoint-467/global_step467/zero_pp_rank_0_mp_rank_00_model_states.pt +3 -0
- checkpoint-467/global_step467/zero_pp_rank_1_mp_rank_00_model_states.pt +3 -0
- checkpoint-467/global_step467/zero_pp_rank_2_mp_rank_00_model_states.pt +3 -0
- checkpoint-467/global_step467/zero_pp_rank_3_mp_rank_00_model_states.pt +3 -0
- checkpoint-467/latest +1 -0
- checkpoint-467/model-00001-of-00004.safetensors +3 -0
- checkpoint-467/model-00002-of-00004.safetensors +3 -0
- checkpoint-467/model-00003-of-00004.safetensors +3 -0
- checkpoint-467/model-00004-of-00004.safetensors +3 -0
- checkpoint-467/model.safetensors.index.json +298 -0
- checkpoint-467/rng_state_0.pth +3 -0
- checkpoint-467/rng_state_1.pth +3 -0
- checkpoint-467/rng_state_2.pth +3 -0
- checkpoint-467/rng_state_3.pth +3 -0
- checkpoint-467/scheduler.pt +3 -0
- checkpoint-467/special_tokens_map.json +17 -0
- checkpoint-467/tokenizer.json +0 -0
- checkpoint-467/tokenizer_config.json +2063 -0
- checkpoint-467/trainer_state.json +1444 -0
- checkpoint-467/training_args.bin +3 -0
- checkpoint-467/zero_to_fp32.py +604 -0
- config.json +29 -0
- eval_results.json +16 -0
- generation_config.json +12 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +298 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +2063 -0
- train_results.json +9 -0
- trainer_state.json +1453 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
license: llama3
|
4 |
+
base_model: meta-llama/Meta-Llama-3-8B-Instruct
|
5 |
+
tags:
|
6 |
+
- alignment-handbook
|
7 |
+
- generated_from_trainer
|
8 |
+
datasets:
|
9 |
+
- princeton-nlp/llama3-ultrafeedback-armorm
|
10 |
+
model-index:
|
11 |
+
- name: llama-3-8b-instruct-gapo-v2-jaccard_score-beta10-gamma0.3-lr1.0e-6-he_scale-rerun
|
12 |
+
results: []
|
13 |
+
---
|
14 |
+
|
15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
16 |
+
should probably proofread and complete it, then remove this comment. -->
|
17 |
+
|
18 |
+
# llama-3-8b-instruct-gapo-v2-jaccard_score-beta10-gamma0.3-lr1.0e-6-he_scale-rerun
|
19 |
+
|
20 |
+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the princeton-nlp/llama3-ultrafeedback-armorm dataset.
|
21 |
+
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 1.3838
|
23 |
+
- Rewards/chosen: -14.6828
|
24 |
+
- Rewards/rejected: -19.8328
|
25 |
+
- Rewards/accuracies: 0.8232
|
26 |
+
- Rewards/margins: 5.1500
|
27 |
+
- Logps/rejected: -1.9833
|
28 |
+
- Logps/chosen: -1.4683
|
29 |
+
- Logits/rejected: -1.3238
|
30 |
+
- Logits/chosen: -1.3154
|
31 |
+
|
32 |
+
## Model description
|
33 |
+
|
34 |
+
More information needed
|
35 |
+
|
36 |
+
## Intended uses & limitations
|
37 |
+
|
38 |
+
More information needed
|
39 |
+
|
40 |
+
## Training and evaluation data
|
41 |
+
|
42 |
+
More information needed
|
43 |
+
|
44 |
+
## Training procedure
|
45 |
+
|
46 |
+
### Training hyperparameters
|
47 |
+
|
48 |
+
The following hyperparameters were used during training:
|
49 |
+
- learning_rate: 1e-06
|
50 |
+
- train_batch_size: 2
|
51 |
+
- eval_batch_size: 4
|
52 |
+
- seed: 42
|
53 |
+
- distributed_type: multi-GPU
|
54 |
+
- num_devices: 4
|
55 |
+
- gradient_accumulation_steps: 16
|
56 |
+
- total_train_batch_size: 128
|
57 |
+
- total_eval_batch_size: 16
|
58 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
59 |
+
- lr_scheduler_type: cosine
|
60 |
+
- lr_scheduler_warmup_ratio: 0.1
|
61 |
+
- num_epochs: 1
|
62 |
+
|
63 |
+
### Training results
|
64 |
+
|
65 |
+
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|
66 |
+
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
|
67 |
+
| 1.353 | 0.8550 | 400 | 1.3838 | -14.6828 | -19.8328 | 0.8232 | 5.1500 | -1.9833 | -1.4683 | -1.3238 | -1.3154 |
|
68 |
+
|
69 |
+
|
70 |
+
### Framework versions
|
71 |
+
|
72 |
+
- Transformers 4.44.2
|
73 |
+
- Pytorch 2.2.0
|
74 |
+
- Datasets 2.21.0
|
75 |
+
- Tokenizers 0.19.1
|
all_results.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.9982631930527722,
|
3 |
+
"eval_logits/chosen": -1.319807767868042,
|
4 |
+
"eval_logits/rejected": -1.328245759010315,
|
5 |
+
"eval_logps/chosen": -1.4769620895385742,
|
6 |
+
"eval_logps/rejected": -1.9949750900268555,
|
7 |
+
"eval_loss": 1.3845703601837158,
|
8 |
+
"eval_rewards/accuracies": 0.8231707215309143,
|
9 |
+
"eval_rewards/chosen": -14.769620895385742,
|
10 |
+
"eval_rewards/margins": 5.180131435394287,
|
11 |
+
"eval_rewards/rejected": -19.949752807617188,
|
12 |
+
"eval_runtime": 87.8371,
|
13 |
+
"eval_samples": 1961,
|
14 |
+
"eval_samples_per_second": 22.325,
|
15 |
+
"eval_steps_per_second": 1.4,
|
16 |
+
"total_flos": 0.0,
|
17 |
+
"train_loss": 1.957533876696797,
|
18 |
+
"train_runtime": 11480.123,
|
19 |
+
"train_samples": 59876,
|
20 |
+
"train_samples_per_second": 5.216,
|
21 |
+
"train_steps_per_second": 0.041
|
22 |
+
}
|
checkpoint-467/config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 128000,
|
9 |
+
"eos_token_id": 128009,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 4096,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 14336,
|
14 |
+
"max_position_embeddings": 8192,
|
15 |
+
"mlp_bias": false,
|
16 |
+
"model_type": "llama",
|
17 |
+
"num_attention_heads": 32,
|
18 |
+
"num_hidden_layers": 32,
|
19 |
+
"num_key_value_heads": 8,
|
20 |
+
"pretraining_tp": 1,
|
21 |
+
"rms_norm_eps": 1e-05,
|
22 |
+
"rope_scaling": null,
|
23 |
+
"rope_theta": 500000.0,
|
24 |
+
"tie_word_embeddings": false,
|
25 |
+
"torch_dtype": "bfloat16",
|
26 |
+
"transformers_version": "4.44.2",
|
27 |
+
"use_cache": false,
|
28 |
+
"vocab_size": 128256
|
29 |
+
}
|
checkpoint-467/generation_config.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 128000,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
128001,
|
6 |
+
128009
|
7 |
+
],
|
8 |
+
"max_length": 4096,
|
9 |
+
"temperature": 0.6,
|
10 |
+
"top_p": 0.9,
|
11 |
+
"transformers_version": "4.44.2"
|
12 |
+
}
|
checkpoint-467/global_step467/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:42e7f3fa357528a9395e826cd10a8b39074f67354258797eaa26f658679e9900
|
3 |
+
size 24090789950
|
checkpoint-467/global_step467/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:85ad690ba6ccb1c41937ac8bb7f067f40da93ef6aef3833e04776f5515c7a281
|
3 |
+
size 24090789950
|
checkpoint-467/global_step467/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5ef376895d5bec9ae31478db03d04d06fd1638017a127cd97102e7f513bfc6d7
|
3 |
+
size 24090789950
|
checkpoint-467/global_step467/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b9c5651e321ed408ab1db4b96a0b0d4b9c060495e17e71bfd9bbda8f4574c2e7
|
3 |
+
size 24090789950
|
checkpoint-467/global_step467/zero_pp_rank_0_mp_rank_00_model_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dca97cd3bc44aef4837bbcab5ce33ea35cf7a96cb568bae18f29db404b0b0a5b
|
3 |
+
size 150693
|
checkpoint-467/global_step467/zero_pp_rank_1_mp_rank_00_model_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ed747b44ace193a514249241429f7027bb1960e8c41207993750102c24811702
|
3 |
+
size 150693
|
checkpoint-467/global_step467/zero_pp_rank_2_mp_rank_00_model_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a3dc6efc7836ac52a44c13fe9e807b9f98334c8ad10c9016b42415fe4ac73393
|
3 |
+
size 150693
|
checkpoint-467/global_step467/zero_pp_rank_3_mp_rank_00_model_states.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e83932751abcf5800e0a3e129b2800fba699e4bcece54d9b7be9726cc7360c05
|
3 |
+
size 150693
|
checkpoint-467/latest
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
global_step467
|
checkpoint-467/model-00001-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4a4d02f89ee587dfa885a25c30e44d063677e16f453c463a54bafc90ea1cdf9a
|
3 |
+
size 4976698672
|
checkpoint-467/model-00002-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:98d38a3529eaf96c27321ef1669f21a739743104249072a85e8b5b4557ee5407
|
3 |
+
size 4999802720
|
checkpoint-467/model-00003-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b4c070b7aea29214412ec41afb6e3bbfa6bba53ef0d5487f3fc17ff630de9237
|
3 |
+
size 4915916176
|
checkpoint-467/model-00004-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8fcf7552dca049a441a7bd173f737520ca7ceadf16ba931b5deab4f65cac276a
|
3 |
+
size 1168138808
|
checkpoint-467/model.safetensors.index.json
ADDED
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 16060522496
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00004-of-00004.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
242 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
251 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
260 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
269 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
278 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
287 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
296 |
+
"model.norm.weight": "model-00004-of-00004.safetensors"
|
297 |
+
}
|
298 |
+
}
|
checkpoint-467/rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bbe0d720c4c75a6a04213fa3b64bacbe794718a53e2b56ebb67a1a795014dfad
|
3 |
+
size 15024
|
checkpoint-467/rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:72452d3138d0ca2ff89429e3294a834ae7a68e8596fc757735ca56ae52509d57
|
3 |
+
size 15024
|
checkpoint-467/rng_state_2.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f36e306fb8ebcf53a167bfd6c9af74db410a269ada1e619e3e816f5269543b9d
|
3 |
+
size 15024
|
checkpoint-467/rng_state_3.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bb47ce0c6f815a6f8302b0e3819b4c2315ca71dae3138d97fdceb765cdd0a039
|
3 |
+
size 15024
|
checkpoint-467/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8e9102e77a2cc8c7ee284edfad042168479d3805191c01ddc8892608349dec22
|
3 |
+
size 1064
|
checkpoint-467/special_tokens_map.json
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|begin_of_text|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|eot_id|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<|eot_id|>"
|
17 |
+
}
|
checkpoint-467/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-467/tokenizer_config.json
ADDED
@@ -0,0 +1,2063 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"128000": {
|
4 |
+
"content": "<|begin_of_text|>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"128001": {
|
12 |
+
"content": "<|end_of_text|>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"128002": {
|
20 |
+
"content": "<|reserved_special_token_0|>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"128003": {
|
28 |
+
"content": "<|reserved_special_token_1|>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"128004": {
|
36 |
+
"content": "<|reserved_special_token_2|>",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"128005": {
|
44 |
+
"content": "<|reserved_special_token_3|>",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
},
|
51 |
+
"128006": {
|
52 |
+
"content": "<|start_header_id|>",
|
53 |
+
"lstrip": false,
|
54 |
+
"normalized": false,
|
55 |
+
"rstrip": false,
|
56 |
+
"single_word": false,
|
57 |
+
"special": true
|
58 |
+
},
|
59 |
+
"128007": {
|
60 |
+
"content": "<|end_header_id|>",
|
61 |
+
"lstrip": false,
|
62 |
+
"normalized": false,
|
63 |
+
"rstrip": false,
|
64 |
+
"single_word": false,
|
65 |
+
"special": true
|
66 |
+
},
|
67 |
+
"128008": {
|
68 |
+
"content": "<|reserved_special_token_4|>",
|
69 |
+
"lstrip": false,
|
70 |
+
"normalized": false,
|
71 |
+
"rstrip": false,
|
72 |
+
"single_word": false,
|
73 |
+
"special": true
|
74 |
+
},
|
75 |
+
"128009": {
|
76 |
+
"content": "<|eot_id|>",
|
77 |
+
"lstrip": false,
|
78 |
+
"normalized": false,
|
79 |
+
"rstrip": false,
|
80 |
+
"single_word": false,
|
81 |
+
"special": true
|
82 |
+
},
|
83 |
+
"128010": {
|
84 |
+
"content": "<|reserved_special_token_5|>",
|
85 |
+
"lstrip": false,
|
86 |
+
"normalized": false,
|
87 |
+
"rstrip": false,
|
88 |
+
"single_word": false,
|
89 |
+
"special": true
|
90 |
+
},
|
91 |
+
"128011": {
|
92 |
+
"content": "<|reserved_special_token_6|>",
|
93 |
+
"lstrip": false,
|
94 |
+
"normalized": false,
|
95 |
+
"rstrip": false,
|
96 |
+
"single_word": false,
|
97 |
+
"special": true
|
98 |
+
},
|
99 |
+
"128012": {
|
100 |
+
"content": "<|reserved_special_token_7|>",
|
101 |
+
"lstrip": false,
|
102 |
+
"normalized": false,
|
103 |
+
"rstrip": false,
|
104 |
+
"single_word": false,
|
105 |
+
"special": true
|
106 |
+
},
|
107 |
+
"128013": {
|
108 |
+
"content": "<|reserved_special_token_8|>",
|
109 |
+
"lstrip": false,
|
110 |
+
"normalized": false,
|
111 |
+
"rstrip": false,
|
112 |
+
"single_word": false,
|
113 |
+
"special": true
|
114 |
+
},
|
115 |
+
"128014": {
|
116 |
+
"content": "<|reserved_special_token_9|>",
|
117 |
+
"lstrip": false,
|
118 |
+
"normalized": false,
|
119 |
+
"rstrip": false,
|
120 |
+
"single_word": false,
|
121 |
+
"special": true
|
122 |
+
},
|
123 |
+
"128015": {
|
124 |
+
"content": "<|reserved_special_token_10|>",
|
125 |
+
"lstrip": false,
|
126 |
+
"normalized": false,
|
127 |
+
"rstrip": false,
|
128 |
+
"single_word": false,
|
129 |
+
"special": true
|
130 |
+
},
|
131 |
+
"128016": {
|
132 |
+
"content": "<|reserved_special_token_11|>",
|
133 |
+
"lstrip": false,
|
134 |
+
"normalized": false,
|
135 |
+
"rstrip": false,
|
136 |
+
"single_word": false,
|
137 |
+
"special": true
|
138 |
+
},
|
139 |
+
"128017": {
|
140 |
+
"content": "<|reserved_special_token_12|>",
|
141 |
+
"lstrip": false,
|
142 |
+
"normalized": false,
|
143 |
+
"rstrip": false,
|
144 |
+
"single_word": false,
|
145 |
+
"special": true
|
146 |
+
},
|
147 |
+
"128018": {
|
148 |
+
"content": "<|reserved_special_token_13|>",
|
149 |
+
"lstrip": false,
|
150 |
+
"normalized": false,
|
151 |
+
"rstrip": false,
|
152 |
+
"single_word": false,
|
153 |
+
"special": true
|
154 |
+
},
|
155 |
+
"128019": {
|
156 |
+
"content": "<|reserved_special_token_14|>",
|
157 |
+
"lstrip": false,
|
158 |
+
"normalized": false,
|
159 |
+
"rstrip": false,
|
160 |
+
"single_word": false,
|
161 |
+
"special": true
|
162 |
+
},
|
163 |
+
"128020": {
|
164 |
+
"content": "<|reserved_special_token_15|>",
|
165 |
+
"lstrip": false,
|
166 |
+
"normalized": false,
|
167 |
+
"rstrip": false,
|
168 |
+
"single_word": false,
|
169 |
+
"special": true
|
170 |
+
},
|
171 |
+
"128021": {
|
172 |
+
"content": "<|reserved_special_token_16|>",
|
173 |
+
"lstrip": false,
|
174 |
+
"normalized": false,
|
175 |
+
"rstrip": false,
|
176 |
+
"single_word": false,
|
177 |
+
"special": true
|
178 |
+
},
|
179 |
+
"128022": {
|
180 |
+
"content": "<|reserved_special_token_17|>",
|
181 |
+
"lstrip": false,
|
182 |
+
"normalized": false,
|
183 |
+
"rstrip": false,
|
184 |
+
"single_word": false,
|
185 |
+
"special": true
|
186 |
+
},
|
187 |
+
"128023": {
|
188 |
+
"content": "<|reserved_special_token_18|>",
|
189 |
+
"lstrip": false,
|
190 |
+
"normalized": false,
|
191 |
+
"rstrip": false,
|
192 |
+
"single_word": false,
|
193 |
+
"special": true
|
194 |
+
},
|
195 |
+
"128024": {
|
196 |
+
"content": "<|reserved_special_token_19|>",
|
197 |
+
"lstrip": false,
|
198 |
+
"normalized": false,
|
199 |
+
"rstrip": false,
|
200 |
+
"single_word": false,
|
201 |
+
"special": true
|
202 |
+
},
|
203 |
+
"128025": {
|
204 |
+
"content": "<|reserved_special_token_20|>",
|
205 |
+
"lstrip": false,
|
206 |
+
"normalized": false,
|
207 |
+
"rstrip": false,
|
208 |
+
"single_word": false,
|
209 |
+
"special": true
|
210 |
+
},
|
211 |
+
"128026": {
|
212 |
+
"content": "<|reserved_special_token_21|>",
|
213 |
+
"lstrip": false,
|
214 |
+
"normalized": false,
|
215 |
+
"rstrip": false,
|
216 |
+
"single_word": false,
|
217 |
+
"special": true
|
218 |
+
},
|
219 |
+
"128027": {
|
220 |
+
"content": "<|reserved_special_token_22|>",
|
221 |
+
"lstrip": false,
|
222 |
+
"normalized": false,
|
223 |
+
"rstrip": false,
|
224 |
+
"single_word": false,
|
225 |
+
"special": true
|
226 |
+
},
|
227 |
+
"128028": {
|
228 |
+
"content": "<|reserved_special_token_23|>",
|
229 |
+
"lstrip": false,
|
230 |
+
"normalized": false,
|
231 |
+
"rstrip": false,
|
232 |
+
"single_word": false,
|
233 |
+
"special": true
|
234 |
+
},
|
235 |
+
"128029": {
|
236 |
+
"content": "<|reserved_special_token_24|>",
|
237 |
+
"lstrip": false,
|
238 |
+
"normalized": false,
|
239 |
+
"rstrip": false,
|
240 |
+
"single_word": false,
|
241 |
+
"special": true
|
242 |
+
},
|
243 |
+
"128030": {
|
244 |
+
"content": "<|reserved_special_token_25|>",
|
245 |
+
"lstrip": false,
|
246 |
+
"normalized": false,
|
247 |
+
"rstrip": false,
|
248 |
+
"single_word": false,
|
249 |
+
"special": true
|
250 |
+
},
|
251 |
+
"128031": {
|
252 |
+
"content": "<|reserved_special_token_26|>",
|
253 |
+
"lstrip": false,
|
254 |
+
"normalized": false,
|
255 |
+
"rstrip": false,
|
256 |
+
"single_word": false,
|
257 |
+
"special": true
|
258 |
+
},
|
259 |
+
"128032": {
|
260 |
+
"content": "<|reserved_special_token_27|>",
|
261 |
+
"lstrip": false,
|
262 |
+
"normalized": false,
|
263 |
+
"rstrip": false,
|
264 |
+
"single_word": false,
|
265 |
+
"special": true
|
266 |
+
},
|
267 |
+
"128033": {
|
268 |
+
"content": "<|reserved_special_token_28|>",
|
269 |
+
"lstrip": false,
|
270 |
+
"normalized": false,
|
271 |
+
"rstrip": false,
|
272 |
+
"single_word": false,
|
273 |
+
"special": true
|
274 |
+
},
|
275 |
+
"128034": {
|
276 |
+
"content": "<|reserved_special_token_29|>",
|
277 |
+
"lstrip": false,
|
278 |
+
"normalized": false,
|
279 |
+
"rstrip": false,
|
280 |
+
"single_word": false,
|
281 |
+
"special": true
|
282 |
+
},
|
283 |
+
"128035": {
|
284 |
+
"content": "<|reserved_special_token_30|>",
|
285 |
+
"lstrip": false,
|
286 |
+
"normalized": false,
|
287 |
+
"rstrip": false,
|
288 |
+
"single_word": false,
|
289 |
+
"special": true
|
290 |
+
},
|
291 |
+
"128036": {
|
292 |
+
"content": "<|reserved_special_token_31|>",
|
293 |
+
"lstrip": false,
|
294 |
+
"normalized": false,
|
295 |
+
"rstrip": false,
|
296 |
+
"single_word": false,
|
297 |
+
"special": true
|
298 |
+
},
|
299 |
+
"128037": {
|
300 |
+
"content": "<|reserved_special_token_32|>",
|
301 |
+
"lstrip": false,
|
302 |
+
"normalized": false,
|
303 |
+
"rstrip": false,
|
304 |
+
"single_word": false,
|
305 |
+
"special": true
|
306 |
+
},
|
307 |
+
"128038": {
|
308 |
+
"content": "<|reserved_special_token_33|>",
|
309 |
+
"lstrip": false,
|
310 |
+
"normalized": false,
|
311 |
+
"rstrip": false,
|
312 |
+
"single_word": false,
|
313 |
+
"special": true
|
314 |
+
},
|
315 |
+
"128039": {
|
316 |
+
"content": "<|reserved_special_token_34|>",
|
317 |
+
"lstrip": false,
|
318 |
+
"normalized": false,
|
319 |
+
"rstrip": false,
|
320 |
+
"single_word": false,
|
321 |
+
"special": true
|
322 |
+
},
|
323 |
+
"128040": {
|
324 |
+
"content": "<|reserved_special_token_35|>",
|
325 |
+
"lstrip": false,
|
326 |
+
"normalized": false,
|
327 |
+
"rstrip": false,
|
328 |
+
"single_word": false,
|
329 |
+
"special": true
|
330 |
+
},
|
331 |
+
"128041": {
|
332 |
+
"content": "<|reserved_special_token_36|>",
|
333 |
+
"lstrip": false,
|
334 |
+
"normalized": false,
|
335 |
+
"rstrip": false,
|
336 |
+
"single_word": false,
|
337 |
+
"special": true
|
338 |
+
},
|
339 |
+
"128042": {
|
340 |
+
"content": "<|reserved_special_token_37|>",
|
341 |
+
"lstrip": false,
|
342 |
+
"normalized": false,
|
343 |
+
"rstrip": false,
|
344 |
+
"single_word": false,
|
345 |
+
"special": true
|
346 |
+
},
|
347 |
+
"128043": {
|
348 |
+
"content": "<|reserved_special_token_38|>",
|
349 |
+
"lstrip": false,
|
350 |
+
"normalized": false,
|
351 |
+
"rstrip": false,
|
352 |
+
"single_word": false,
|
353 |
+
"special": true
|
354 |
+
},
|
355 |
+
"128044": {
|
356 |
+
"content": "<|reserved_special_token_39|>",
|
357 |
+
"lstrip": false,
|
358 |
+
"normalized": false,
|
359 |
+
"rstrip": false,
|
360 |
+
"single_word": false,
|
361 |
+
"special": true
|
362 |
+
},
|
363 |
+
"128045": {
|
364 |
+
"content": "<|reserved_special_token_40|>",
|
365 |
+
"lstrip": false,
|
366 |
+
"normalized": false,
|
367 |
+
"rstrip": false,
|
368 |
+
"single_word": false,
|
369 |
+
"special": true
|
370 |
+
},
|
371 |
+
"128046": {
|
372 |
+
"content": "<|reserved_special_token_41|>",
|
373 |
+
"lstrip": false,
|
374 |
+
"normalized": false,
|
375 |
+
"rstrip": false,
|
376 |
+
"single_word": false,
|
377 |
+
"special": true
|
378 |
+
},
|
379 |
+
"128047": {
|
380 |
+
"content": "<|reserved_special_token_42|>",
|
381 |
+
"lstrip": false,
|
382 |
+
"normalized": false,
|
383 |
+
"rstrip": false,
|
384 |
+
"single_word": false,
|
385 |
+
"special": true
|
386 |
+
},
|
387 |
+
"128048": {
|
388 |
+
"content": "<|reserved_special_token_43|>",
|
389 |
+
"lstrip": false,
|
390 |
+
"normalized": false,
|
391 |
+
"rstrip": false,
|
392 |
+
"single_word": false,
|
393 |
+
"special": true
|
394 |
+
},
|
395 |
+
"128049": {
|
396 |
+
"content": "<|reserved_special_token_44|>",
|
397 |
+
"lstrip": false,
|
398 |
+
"normalized": false,
|
399 |
+
"rstrip": false,
|
400 |
+
"single_word": false,
|
401 |
+
"special": true
|
402 |
+
},
|
403 |
+
"128050": {
|
404 |
+
"content": "<|reserved_special_token_45|>",
|
405 |
+
"lstrip": false,
|
406 |
+
"normalized": false,
|
407 |
+
"rstrip": false,
|
408 |
+
"single_word": false,
|
409 |
+
"special": true
|
410 |
+
},
|
411 |
+
"128051": {
|
412 |
+
"content": "<|reserved_special_token_46|>",
|
413 |
+
"lstrip": false,
|
414 |
+
"normalized": false,
|
415 |
+
"rstrip": false,
|
416 |
+
"single_word": false,
|
417 |
+
"special": true
|
418 |
+
},
|
419 |
+
"128052": {
|
420 |
+
"content": "<|reserved_special_token_47|>",
|
421 |
+
"lstrip": false,
|
422 |
+
"normalized": false,
|
423 |
+
"rstrip": false,
|
424 |
+
"single_word": false,
|
425 |
+
"special": true
|
426 |
+
},
|
427 |
+
"128053": {
|
428 |
+
"content": "<|reserved_special_token_48|>",
|
429 |
+
"lstrip": false,
|
430 |
+
"normalized": false,
|
431 |
+
"rstrip": false,
|
432 |
+
"single_word": false,
|
433 |
+
"special": true
|
434 |
+
},
|
435 |
+
"128054": {
|
436 |
+
"content": "<|reserved_special_token_49|>",
|
437 |
+
"lstrip": false,
|
438 |
+
"normalized": false,
|
439 |
+
"rstrip": false,
|
440 |
+
"single_word": false,
|
441 |
+
"special": true
|
442 |
+
},
|
443 |
+
"128055": {
|
444 |
+
"content": "<|reserved_special_token_50|>",
|
445 |
+
"lstrip": false,
|
446 |
+
"normalized": false,
|
447 |
+
"rstrip": false,
|
448 |
+
"single_word": false,
|
449 |
+
"special": true
|
450 |
+
},
|
451 |
+
"128056": {
|
452 |
+
"content": "<|reserved_special_token_51|>",
|
453 |
+
"lstrip": false,
|
454 |
+
"normalized": false,
|
455 |
+
"rstrip": false,
|
456 |
+
"single_word": false,
|
457 |
+
"special": true
|
458 |
+
},
|
459 |
+
"128057": {
|
460 |
+
"content": "<|reserved_special_token_52|>",
|
461 |
+
"lstrip": false,
|
462 |
+
"normalized": false,
|
463 |
+
"rstrip": false,
|
464 |
+
"single_word": false,
|
465 |
+
"special": true
|
466 |
+
},
|
467 |
+
"128058": {
|
468 |
+
"content": "<|reserved_special_token_53|>",
|
469 |
+
"lstrip": false,
|
470 |
+
"normalized": false,
|
471 |
+
"rstrip": false,
|
472 |
+
"single_word": false,
|
473 |
+
"special": true
|
474 |
+
},
|
475 |
+
"128059": {
|
476 |
+
"content": "<|reserved_special_token_54|>",
|
477 |
+
"lstrip": false,
|
478 |
+
"normalized": false,
|
479 |
+
"rstrip": false,
|
480 |
+
"single_word": false,
|
481 |
+
"special": true
|
482 |
+
},
|
483 |
+
"128060": {
|
484 |
+
"content": "<|reserved_special_token_55|>",
|
485 |
+
"lstrip": false,
|
486 |
+
"normalized": false,
|
487 |
+
"rstrip": false,
|
488 |
+
"single_word": false,
|
489 |
+
"special": true
|
490 |
+
},
|
491 |
+
"128061": {
|
492 |
+
"content": "<|reserved_special_token_56|>",
|
493 |
+
"lstrip": false,
|
494 |
+
"normalized": false,
|
495 |
+
"rstrip": false,
|
496 |
+
"single_word": false,
|
497 |
+
"special": true
|
498 |
+
},
|
499 |
+
"128062": {
|
500 |
+
"content": "<|reserved_special_token_57|>",
|
501 |
+
"lstrip": false,
|
502 |
+
"normalized": false,
|
503 |
+
"rstrip": false,
|
504 |
+
"single_word": false,
|
505 |
+
"special": true
|
506 |
+
},
|
507 |
+
"128063": {
|
508 |
+
"content": "<|reserved_special_token_58|>",
|
509 |
+
"lstrip": false,
|
510 |
+
"normalized": false,
|
511 |
+
"rstrip": false,
|
512 |
+
"single_word": false,
|
513 |
+
"special": true
|
514 |
+
},
|
515 |
+
"128064": {
|
516 |
+
"content": "<|reserved_special_token_59|>",
|
517 |
+
"lstrip": false,
|
518 |
+
"normalized": false,
|
519 |
+
"rstrip": false,
|
520 |
+
"single_word": false,
|
521 |
+
"special": true
|
522 |
+
},
|
523 |
+
"128065": {
|
524 |
+
"content": "<|reserved_special_token_60|>",
|
525 |
+
"lstrip": false,
|
526 |
+
"normalized": false,
|
527 |
+
"rstrip": false,
|
528 |
+
"single_word": false,
|
529 |
+
"special": true
|
530 |
+
},
|
531 |
+
"128066": {
|
532 |
+
"content": "<|reserved_special_token_61|>",
|
533 |
+
"lstrip": false,
|
534 |
+
"normalized": false,
|
535 |
+
"rstrip": false,
|
536 |
+
"single_word": false,
|
537 |
+
"special": true
|
538 |
+
},
|
539 |
+
"128067": {
|
540 |
+
"content": "<|reserved_special_token_62|>",
|
541 |
+
"lstrip": false,
|
542 |
+
"normalized": false,
|
543 |
+
"rstrip": false,
|
544 |
+
"single_word": false,
|
545 |
+
"special": true
|
546 |
+
},
|
547 |
+
"128068": {
|
548 |
+
"content": "<|reserved_special_token_63|>",
|
549 |
+
"lstrip": false,
|
550 |
+
"normalized": false,
|
551 |
+
"rstrip": false,
|
552 |
+
"single_word": false,
|
553 |
+
"special": true
|
554 |
+
},
|
555 |
+
"128069": {
|
556 |
+
"content": "<|reserved_special_token_64|>",
|
557 |
+
"lstrip": false,
|
558 |
+
"normalized": false,
|
559 |
+
"rstrip": false,
|
560 |
+
"single_word": false,
|
561 |
+
"special": true
|
562 |
+
},
|
563 |
+
"128070": {
|
564 |
+
"content": "<|reserved_special_token_65|>",
|
565 |
+
"lstrip": false,
|
566 |
+
"normalized": false,
|
567 |
+
"rstrip": false,
|
568 |
+
"single_word": false,
|
569 |
+
"special": true
|
570 |
+
},
|
571 |
+
"128071": {
|
572 |
+
"content": "<|reserved_special_token_66|>",
|
573 |
+
"lstrip": false,
|
574 |
+
"normalized": false,
|
575 |
+
"rstrip": false,
|
576 |
+
"single_word": false,
|
577 |
+
"special": true
|
578 |
+
},
|
579 |
+
"128072": {
|
580 |
+
"content": "<|reserved_special_token_67|>",
|
581 |
+
"lstrip": false,
|
582 |
+
"normalized": false,
|
583 |
+
"rstrip": false,
|
584 |
+
"single_word": false,
|
585 |
+
"special": true
|
586 |
+
},
|
587 |
+
"128073": {
|
588 |
+
"content": "<|reserved_special_token_68|>",
|
589 |
+
"lstrip": false,
|
590 |
+
"normalized": false,
|
591 |
+
"rstrip": false,
|
592 |
+
"single_word": false,
|
593 |
+
"special": true
|
594 |
+
},
|
595 |
+
"128074": {
|
596 |
+
"content": "<|reserved_special_token_69|>",
|
597 |
+
"lstrip": false,
|
598 |
+
"normalized": false,
|
599 |
+
"rstrip": false,
|
600 |
+
"single_word": false,
|
601 |
+
"special": true
|
602 |
+
},
|
603 |
+
"128075": {
|
604 |
+
"content": "<|reserved_special_token_70|>",
|
605 |
+
"lstrip": false,
|
606 |
+
"normalized": false,
|
607 |
+
"rstrip": false,
|
608 |
+
"single_word": false,
|
609 |
+
"special": true
|
610 |
+
},
|
611 |
+
"128076": {
|
612 |
+
"content": "<|reserved_special_token_71|>",
|
613 |
+
"lstrip": false,
|
614 |
+
"normalized": false,
|
615 |
+
"rstrip": false,
|
616 |
+
"single_word": false,
|
617 |
+
"special": true
|
618 |
+
},
|
619 |
+
"128077": {
|
620 |
+
"content": "<|reserved_special_token_72|>",
|
621 |
+
"lstrip": false,
|
622 |
+
"normalized": false,
|
623 |
+
"rstrip": false,
|
624 |
+
"single_word": false,
|
625 |
+
"special": true
|
626 |
+
},
|
627 |
+
"128078": {
|
628 |
+
"content": "<|reserved_special_token_73|>",
|
629 |
+
"lstrip": false,
|
630 |
+
"normalized": false,
|
631 |
+
"rstrip": false,
|
632 |
+
"single_word": false,
|
633 |
+
"special": true
|
634 |
+
},
|
635 |
+
"128079": {
|
636 |
+
"content": "<|reserved_special_token_74|>",
|
637 |
+
"lstrip": false,
|
638 |
+
"normalized": false,
|
639 |
+
"rstrip": false,
|
640 |
+
"single_word": false,
|
641 |
+
"special": true
|
642 |
+
},
|
643 |
+
"128080": {
|
644 |
+
"content": "<|reserved_special_token_75|>",
|
645 |
+
"lstrip": false,
|
646 |
+
"normalized": false,
|
647 |
+
"rstrip": false,
|
648 |
+
"single_word": false,
|
649 |
+
"special": true
|
650 |
+
},
|
651 |
+
"128081": {
|
652 |
+
"content": "<|reserved_special_token_76|>",
|
653 |
+
"lstrip": false,
|
654 |
+
"normalized": false,
|
655 |
+
"rstrip": false,
|
656 |
+
"single_word": false,
|
657 |
+
"special": true
|
658 |
+
},
|
659 |
+
"128082": {
|
660 |
+
"content": "<|reserved_special_token_77|>",
|
661 |
+
"lstrip": false,
|
662 |
+
"normalized": false,
|
663 |
+
"rstrip": false,
|
664 |
+
"single_word": false,
|
665 |
+
"special": true
|
666 |
+
},
|
667 |
+
"128083": {
|
668 |
+
"content": "<|reserved_special_token_78|>",
|
669 |
+
"lstrip": false,
|
670 |
+
"normalized": false,
|
671 |
+
"rstrip": false,
|
672 |
+
"single_word": false,
|
673 |
+
"special": true
|
674 |
+
},
|
675 |
+
"128084": {
|
676 |
+
"content": "<|reserved_special_token_79|>",
|
677 |
+
"lstrip": false,
|
678 |
+
"normalized": false,
|
679 |
+
"rstrip": false,
|
680 |
+
"single_word": false,
|
681 |
+
"special": true
|
682 |
+
},
|
683 |
+
"128085": {
|
684 |
+
"content": "<|reserved_special_token_80|>",
|
685 |
+
"lstrip": false,
|
686 |
+
"normalized": false,
|
687 |
+
"rstrip": false,
|
688 |
+
"single_word": false,
|
689 |
+
"special": true
|
690 |
+
},
|
691 |
+
"128086": {
|
692 |
+
"content": "<|reserved_special_token_81|>",
|
693 |
+
"lstrip": false,
|
694 |
+
"normalized": false,
|
695 |
+
"rstrip": false,
|
696 |
+
"single_word": false,
|
697 |
+
"special": true
|
698 |
+
},
|
699 |
+
"128087": {
|
700 |
+
"content": "<|reserved_special_token_82|>",
|
701 |
+
"lstrip": false,
|
702 |
+
"normalized": false,
|
703 |
+
"rstrip": false,
|
704 |
+
"single_word": false,
|
705 |
+
"special": true
|
706 |
+
},
|
707 |
+
"128088": {
|
708 |
+
"content": "<|reserved_special_token_83|>",
|
709 |
+
"lstrip": false,
|
710 |
+
"normalized": false,
|
711 |
+
"rstrip": false,
|
712 |
+
"single_word": false,
|
713 |
+
"special": true
|
714 |
+
},
|
715 |
+
"128089": {
|
716 |
+
"content": "<|reserved_special_token_84|>",
|
717 |
+
"lstrip": false,
|
718 |
+
"normalized": false,
|
719 |
+
"rstrip": false,
|
720 |
+
"single_word": false,
|
721 |
+
"special": true
|
722 |
+
},
|
723 |
+
"128090": {
|
724 |
+
"content": "<|reserved_special_token_85|>",
|
725 |
+
"lstrip": false,
|
726 |
+
"normalized": false,
|
727 |
+
"rstrip": false,
|
728 |
+
"single_word": false,
|
729 |
+
"special": true
|
730 |
+
},
|
731 |
+
"128091": {
|
732 |
+
"content": "<|reserved_special_token_86|>",
|
733 |
+
"lstrip": false,
|
734 |
+
"normalized": false,
|
735 |
+
"rstrip": false,
|
736 |
+
"single_word": false,
|
737 |
+
"special": true
|
738 |
+
},
|
739 |
+
"128092": {
|
740 |
+
"content": "<|reserved_special_token_87|>",
|
741 |
+
"lstrip": false,
|
742 |
+
"normalized": false,
|
743 |
+
"rstrip": false,
|
744 |
+
"single_word": false,
|
745 |
+
"special": true
|
746 |
+
},
|
747 |
+
"128093": {
|
748 |
+
"content": "<|reserved_special_token_88|>",
|
749 |
+
"lstrip": false,
|
750 |
+
"normalized": false,
|
751 |
+
"rstrip": false,
|
752 |
+
"single_word": false,
|
753 |
+
"special": true
|
754 |
+
},
|
755 |
+
"128094": {
|
756 |
+
"content": "<|reserved_special_token_89|>",
|
757 |
+
"lstrip": false,
|
758 |
+
"normalized": false,
|
759 |
+
"rstrip": false,
|
760 |
+
"single_word": false,
|
761 |
+
"special": true
|
762 |
+
},
|
763 |
+
"128095": {
|
764 |
+
"content": "<|reserved_special_token_90|>",
|
765 |
+
"lstrip": false,
|
766 |
+
"normalized": false,
|
767 |
+
"rstrip": false,
|
768 |
+
"single_word": false,
|
769 |
+
"special": true
|
770 |
+
},
|
771 |
+
"128096": {
|
772 |
+
"content": "<|reserved_special_token_91|>",
|
773 |
+
"lstrip": false,
|
774 |
+
"normalized": false,
|
775 |
+
"rstrip": false,
|
776 |
+
"single_word": false,
|
777 |
+
"special": true
|
778 |
+
},
|
779 |
+
"128097": {
|
780 |
+
"content": "<|reserved_special_token_92|>",
|
781 |
+
"lstrip": false,
|
782 |
+
"normalized": false,
|
783 |
+
"rstrip": false,
|
784 |
+
"single_word": false,
|
785 |
+
"special": true
|
786 |
+
},
|
787 |
+
"128098": {
|
788 |
+
"content": "<|reserved_special_token_93|>",
|
789 |
+
"lstrip": false,
|
790 |
+
"normalized": false,
|
791 |
+
"rstrip": false,
|
792 |
+
"single_word": false,
|
793 |
+
"special": true
|
794 |
+
},
|
795 |
+
"128099": {
|
796 |
+
"content": "<|reserved_special_token_94|>",
|
797 |
+
"lstrip": false,
|
798 |
+
"normalized": false,
|
799 |
+
"rstrip": false,
|
800 |
+
"single_word": false,
|
801 |
+
"special": true
|
802 |
+
},
|
803 |
+
"128100": {
|
804 |
+
"content": "<|reserved_special_token_95|>",
|
805 |
+
"lstrip": false,
|
806 |
+
"normalized": false,
|
807 |
+
"rstrip": false,
|
808 |
+
"single_word": false,
|
809 |
+
"special": true
|
810 |
+
},
|
811 |
+
"128101": {
|
812 |
+
"content": "<|reserved_special_token_96|>",
|
813 |
+
"lstrip": false,
|
814 |
+
"normalized": false,
|
815 |
+
"rstrip": false,
|
816 |
+
"single_word": false,
|
817 |
+
"special": true
|
818 |
+
},
|
819 |
+
"128102": {
|
820 |
+
"content": "<|reserved_special_token_97|>",
|
821 |
+
"lstrip": false,
|
822 |
+
"normalized": false,
|
823 |
+
"rstrip": false,
|
824 |
+
"single_word": false,
|
825 |
+
"special": true
|
826 |
+
},
|
827 |
+
"128103": {
|
828 |
+
"content": "<|reserved_special_token_98|>",
|
829 |
+
"lstrip": false,
|
830 |
+
"normalized": false,
|
831 |
+
"rstrip": false,
|
832 |
+
"single_word": false,
|
833 |
+
"special": true
|
834 |
+
},
|
835 |
+
"128104": {
|
836 |
+
"content": "<|reserved_special_token_99|>",
|
837 |
+
"lstrip": false,
|
838 |
+
"normalized": false,
|
839 |
+
"rstrip": false,
|
840 |
+
"single_word": false,
|
841 |
+
"special": true
|
842 |
+
},
|
843 |
+
"128105": {
|
844 |
+
"content": "<|reserved_special_token_100|>",
|
845 |
+
"lstrip": false,
|
846 |
+
"normalized": false,
|
847 |
+
"rstrip": false,
|
848 |
+
"single_word": false,
|
849 |
+
"special": true
|
850 |
+
},
|
851 |
+
"128106": {
|
852 |
+
"content": "<|reserved_special_token_101|>",
|
853 |
+
"lstrip": false,
|
854 |
+
"normalized": false,
|
855 |
+
"rstrip": false,
|
856 |
+
"single_word": false,
|
857 |
+
"special": true
|
858 |
+
},
|
859 |
+
"128107": {
|
860 |
+
"content": "<|reserved_special_token_102|>",
|
861 |
+
"lstrip": false,
|
862 |
+
"normalized": false,
|
863 |
+
"rstrip": false,
|
864 |
+
"single_word": false,
|
865 |
+
"special": true
|
866 |
+
},
|
867 |
+
"128108": {
|
868 |
+
"content": "<|reserved_special_token_103|>",
|
869 |
+
"lstrip": false,
|
870 |
+
"normalized": false,
|
871 |
+
"rstrip": false,
|
872 |
+
"single_word": false,
|
873 |
+
"special": true
|
874 |
+
},
|
875 |
+
"128109": {
|
876 |
+
"content": "<|reserved_special_token_104|>",
|
877 |
+
"lstrip": false,
|
878 |
+
"normalized": false,
|
879 |
+
"rstrip": false,
|
880 |
+
"single_word": false,
|
881 |
+
"special": true
|
882 |
+
},
|
883 |
+
"128110": {
|
884 |
+
"content": "<|reserved_special_token_105|>",
|
885 |
+
"lstrip": false,
|
886 |
+
"normalized": false,
|
887 |
+
"rstrip": false,
|
888 |
+
"single_word": false,
|
889 |
+
"special": true
|
890 |
+
},
|
891 |
+
"128111": {
|
892 |
+
"content": "<|reserved_special_token_106|>",
|
893 |
+
"lstrip": false,
|
894 |
+
"normalized": false,
|
895 |
+
"rstrip": false,
|
896 |
+
"single_word": false,
|
897 |
+
"special": true
|
898 |
+
},
|
899 |
+
"128112": {
|
900 |
+
"content": "<|reserved_special_token_107|>",
|
901 |
+
"lstrip": false,
|
902 |
+
"normalized": false,
|
903 |
+
"rstrip": false,
|
904 |
+
"single_word": false,
|
905 |
+
"special": true
|
906 |
+
},
|
907 |
+
"128113": {
|
908 |
+
"content": "<|reserved_special_token_108|>",
|
909 |
+
"lstrip": false,
|
910 |
+
"normalized": false,
|
911 |
+
"rstrip": false,
|
912 |
+
"single_word": false,
|
913 |
+
"special": true
|
914 |
+
},
|
915 |
+
"128114": {
|
916 |
+
"content": "<|reserved_special_token_109|>",
|
917 |
+
"lstrip": false,
|
918 |
+
"normalized": false,
|
919 |
+
"rstrip": false,
|
920 |
+
"single_word": false,
|
921 |
+
"special": true
|
922 |
+
},
|
923 |
+
"128115": {
|
924 |
+
"content": "<|reserved_special_token_110|>",
|
925 |
+
"lstrip": false,
|
926 |
+
"normalized": false,
|
927 |
+
"rstrip": false,
|
928 |
+
"single_word": false,
|
929 |
+
"special": true
|
930 |
+
},
|
931 |
+
"128116": {
|
932 |
+
"content": "<|reserved_special_token_111|>",
|
933 |
+
"lstrip": false,
|
934 |
+
"normalized": false,
|
935 |
+
"rstrip": false,
|
936 |
+
"single_word": false,
|
937 |
+
"special": true
|
938 |
+
},
|
939 |
+
"128117": {
|
940 |
+
"content": "<|reserved_special_token_112|>",
|
941 |
+
"lstrip": false,
|
942 |
+
"normalized": false,
|
943 |
+
"rstrip": false,
|
944 |
+
"single_word": false,
|
945 |
+
"special": true
|
946 |
+
},
|
947 |
+
"128118": {
|
948 |
+
"content": "<|reserved_special_token_113|>",
|
949 |
+
"lstrip": false,
|
950 |
+
"normalized": false,
|
951 |
+
"rstrip": false,
|
952 |
+
"single_word": false,
|
953 |
+
"special": true
|
954 |
+
},
|
955 |
+
"128119": {
|
956 |
+
"content": "<|reserved_special_token_114|>",
|
957 |
+
"lstrip": false,
|
958 |
+
"normalized": false,
|
959 |
+
"rstrip": false,
|
960 |
+
"single_word": false,
|
961 |
+
"special": true
|
962 |
+
},
|
963 |
+
"128120": {
|
964 |
+
"content": "<|reserved_special_token_115|>",
|
965 |
+
"lstrip": false,
|
966 |
+
"normalized": false,
|
967 |
+
"rstrip": false,
|
968 |
+
"single_word": false,
|
969 |
+
"special": true
|
970 |
+
},
|
971 |
+
"128121": {
|
972 |
+
"content": "<|reserved_special_token_116|>",
|
973 |
+
"lstrip": false,
|
974 |
+
"normalized": false,
|
975 |
+
"rstrip": false,
|
976 |
+
"single_word": false,
|
977 |
+
"special": true
|
978 |
+
},
|
979 |
+
"128122": {
|
980 |
+
"content": "<|reserved_special_token_117|>",
|
981 |
+
"lstrip": false,
|
982 |
+
"normalized": false,
|
983 |
+
"rstrip": false,
|
984 |
+
"single_word": false,
|
985 |
+
"special": true
|
986 |
+
},
|
987 |
+
"128123": {
|
988 |
+
"content": "<|reserved_special_token_118|>",
|
989 |
+
"lstrip": false,
|
990 |
+
"normalized": false,
|
991 |
+
"rstrip": false,
|
992 |
+
"single_word": false,
|
993 |
+
"special": true
|
994 |
+
},
|
995 |
+
"128124": {
|
996 |
+
"content": "<|reserved_special_token_119|>",
|
997 |
+
"lstrip": false,
|
998 |
+
"normalized": false,
|
999 |
+
"rstrip": false,
|
1000 |
+
"single_word": false,
|
1001 |
+
"special": true
|
1002 |
+
},
|
1003 |
+
"128125": {
|
1004 |
+
"content": "<|reserved_special_token_120|>",
|
1005 |
+
"lstrip": false,
|
1006 |
+
"normalized": false,
|
1007 |
+
"rstrip": false,
|
1008 |
+
"single_word": false,
|
1009 |
+
"special": true
|
1010 |
+
},
|
1011 |
+
"128126": {
|
1012 |
+
"content": "<|reserved_special_token_121|>",
|
1013 |
+
"lstrip": false,
|
1014 |
+
"normalized": false,
|
1015 |
+
"rstrip": false,
|
1016 |
+
"single_word": false,
|
1017 |
+
"special": true
|
1018 |
+
},
|
1019 |
+
"128127": {
|
1020 |
+
"content": "<|reserved_special_token_122|>",
|
1021 |
+
"lstrip": false,
|
1022 |
+
"normalized": false,
|
1023 |
+
"rstrip": false,
|
1024 |
+
"single_word": false,
|
1025 |
+
"special": true
|
1026 |
+
},
|
1027 |
+
"128128": {
|
1028 |
+
"content": "<|reserved_special_token_123|>",
|
1029 |
+
"lstrip": false,
|
1030 |
+
"normalized": false,
|
1031 |
+
"rstrip": false,
|
1032 |
+
"single_word": false,
|
1033 |
+
"special": true
|
1034 |
+
},
|
1035 |
+
"128129": {
|
1036 |
+
"content": "<|reserved_special_token_124|>",
|
1037 |
+
"lstrip": false,
|
1038 |
+
"normalized": false,
|
1039 |
+
"rstrip": false,
|
1040 |
+
"single_word": false,
|
1041 |
+
"special": true
|
1042 |
+
},
|
1043 |
+
"128130": {
|
1044 |
+
"content": "<|reserved_special_token_125|>",
|
1045 |
+
"lstrip": false,
|
1046 |
+
"normalized": false,
|
1047 |
+
"rstrip": false,
|
1048 |
+
"single_word": false,
|
1049 |
+
"special": true
|
1050 |
+
},
|
1051 |
+
"128131": {
|
1052 |
+
"content": "<|reserved_special_token_126|>",
|
1053 |
+
"lstrip": false,
|
1054 |
+
"normalized": false,
|
1055 |
+
"rstrip": false,
|
1056 |
+
"single_word": false,
|
1057 |
+
"special": true
|
1058 |
+
},
|
1059 |
+
"128132": {
|
1060 |
+
"content": "<|reserved_special_token_127|>",
|
1061 |
+
"lstrip": false,
|
1062 |
+
"normalized": false,
|
1063 |
+
"rstrip": false,
|
1064 |
+
"single_word": false,
|
1065 |
+
"special": true
|
1066 |
+
},
|
1067 |
+
"128133": {
|
1068 |
+
"content": "<|reserved_special_token_128|>",
|
1069 |
+
"lstrip": false,
|
1070 |
+
"normalized": false,
|
1071 |
+
"rstrip": false,
|
1072 |
+
"single_word": false,
|
1073 |
+
"special": true
|
1074 |
+
},
|
1075 |
+
"128134": {
|
1076 |
+
"content": "<|reserved_special_token_129|>",
|
1077 |
+
"lstrip": false,
|
1078 |
+
"normalized": false,
|
1079 |
+
"rstrip": false,
|
1080 |
+
"single_word": false,
|
1081 |
+
"special": true
|
1082 |
+
},
|
1083 |
+
"128135": {
|
1084 |
+
"content": "<|reserved_special_token_130|>",
|
1085 |
+
"lstrip": false,
|
1086 |
+
"normalized": false,
|
1087 |
+
"rstrip": false,
|
1088 |
+
"single_word": false,
|
1089 |
+
"special": true
|
1090 |
+
},
|
1091 |
+
"128136": {
|
1092 |
+
"content": "<|reserved_special_token_131|>",
|
1093 |
+
"lstrip": false,
|
1094 |
+
"normalized": false,
|
1095 |
+
"rstrip": false,
|
1096 |
+
"single_word": false,
|
1097 |
+
"special": true
|
1098 |
+
},
|
1099 |
+
"128137": {
|
1100 |
+
"content": "<|reserved_special_token_132|>",
|
1101 |
+
"lstrip": false,
|
1102 |
+
"normalized": false,
|
1103 |
+
"rstrip": false,
|
1104 |
+
"single_word": false,
|
1105 |
+
"special": true
|
1106 |
+
},
|
1107 |
+
"128138": {
|
1108 |
+
"content": "<|reserved_special_token_133|>",
|
1109 |
+
"lstrip": false,
|
1110 |
+
"normalized": false,
|
1111 |
+
"rstrip": false,
|
1112 |
+
"single_word": false,
|
1113 |
+
"special": true
|
1114 |
+
},
|
1115 |
+
"128139": {
|
1116 |
+
"content": "<|reserved_special_token_134|>",
|
1117 |
+
"lstrip": false,
|
1118 |
+
"normalized": false,
|
1119 |
+
"rstrip": false,
|
1120 |
+
"single_word": false,
|
1121 |
+
"special": true
|
1122 |
+
},
|
1123 |
+
"128140": {
|
1124 |
+
"content": "<|reserved_special_token_135|>",
|
1125 |
+
"lstrip": false,
|
1126 |
+
"normalized": false,
|
1127 |
+
"rstrip": false,
|
1128 |
+
"single_word": false,
|
1129 |
+
"special": true
|
1130 |
+
},
|
1131 |
+
"128141": {
|
1132 |
+
"content": "<|reserved_special_token_136|>",
|
1133 |
+
"lstrip": false,
|
1134 |
+
"normalized": false,
|
1135 |
+
"rstrip": false,
|
1136 |
+
"single_word": false,
|
1137 |
+
"special": true
|
1138 |
+
},
|
1139 |
+
"128142": {
|
1140 |
+
"content": "<|reserved_special_token_137|>",
|
1141 |
+
"lstrip": false,
|
1142 |
+
"normalized": false,
|
1143 |
+
"rstrip": false,
|
1144 |
+
"single_word": false,
|
1145 |
+
"special": true
|
1146 |
+
},
|
1147 |
+
"128143": {
|
1148 |
+
"content": "<|reserved_special_token_138|>",
|
1149 |
+
"lstrip": false,
|
1150 |
+
"normalized": false,
|
1151 |
+
"rstrip": false,
|
1152 |
+
"single_word": false,
|
1153 |
+
"special": true
|
1154 |
+
},
|
1155 |
+
"128144": {
|
1156 |
+
"content": "<|reserved_special_token_139|>",
|
1157 |
+
"lstrip": false,
|
1158 |
+
"normalized": false,
|
1159 |
+
"rstrip": false,
|
1160 |
+
"single_word": false,
|
1161 |
+
"special": true
|
1162 |
+
},
|
1163 |
+
"128145": {
|
1164 |
+
"content": "<|reserved_special_token_140|>",
|
1165 |
+
"lstrip": false,
|
1166 |
+
"normalized": false,
|
1167 |
+
"rstrip": false,
|
1168 |
+
"single_word": false,
|
1169 |
+
"special": true
|
1170 |
+
},
|
1171 |
+
"128146": {
|
1172 |
+
"content": "<|reserved_special_token_141|>",
|
1173 |
+
"lstrip": false,
|
1174 |
+
"normalized": false,
|
1175 |
+
"rstrip": false,
|
1176 |
+
"single_word": false,
|
1177 |
+
"special": true
|
1178 |
+
},
|
1179 |
+
"128147": {
|
1180 |
+
"content": "<|reserved_special_token_142|>",
|
1181 |
+
"lstrip": false,
|
1182 |
+
"normalized": false,
|
1183 |
+
"rstrip": false,
|
1184 |
+
"single_word": false,
|
1185 |
+
"special": true
|
1186 |
+
},
|
1187 |
+
"128148": {
|
1188 |
+
"content": "<|reserved_special_token_143|>",
|
1189 |
+
"lstrip": false,
|
1190 |
+
"normalized": false,
|
1191 |
+
"rstrip": false,
|
1192 |
+
"single_word": false,
|
1193 |
+
"special": true
|
1194 |
+
},
|
1195 |
+
"128149": {
|
1196 |
+
"content": "<|reserved_special_token_144|>",
|
1197 |
+
"lstrip": false,
|
1198 |
+
"normalized": false,
|
1199 |
+
"rstrip": false,
|
1200 |
+
"single_word": false,
|
1201 |
+
"special": true
|
1202 |
+
},
|
1203 |
+
"128150": {
|
1204 |
+
"content": "<|reserved_special_token_145|>",
|
1205 |
+
"lstrip": false,
|
1206 |
+
"normalized": false,
|
1207 |
+
"rstrip": false,
|
1208 |
+
"single_word": false,
|
1209 |
+
"special": true
|
1210 |
+
},
|
1211 |
+
"128151": {
|
1212 |
+
"content": "<|reserved_special_token_146|>",
|
1213 |
+
"lstrip": false,
|
1214 |
+
"normalized": false,
|
1215 |
+
"rstrip": false,
|
1216 |
+
"single_word": false,
|
1217 |
+
"special": true
|
1218 |
+
},
|
1219 |
+
"128152": {
|
1220 |
+
"content": "<|reserved_special_token_147|>",
|
1221 |
+
"lstrip": false,
|
1222 |
+
"normalized": false,
|
1223 |
+
"rstrip": false,
|
1224 |
+
"single_word": false,
|
1225 |
+
"special": true
|
1226 |
+
},
|
1227 |
+
"128153": {
|
1228 |
+
"content": "<|reserved_special_token_148|>",
|
1229 |
+
"lstrip": false,
|
1230 |
+
"normalized": false,
|
1231 |
+
"rstrip": false,
|
1232 |
+
"single_word": false,
|
1233 |
+
"special": true
|
1234 |
+
},
|
1235 |
+
"128154": {
|
1236 |
+
"content": "<|reserved_special_token_149|>",
|
1237 |
+
"lstrip": false,
|
1238 |
+
"normalized": false,
|
1239 |
+
"rstrip": false,
|
1240 |
+
"single_word": false,
|
1241 |
+
"special": true
|
1242 |
+
},
|
1243 |
+
"128155": {
|
1244 |
+
"content": "<|reserved_special_token_150|>",
|
1245 |
+
"lstrip": false,
|
1246 |
+
"normalized": false,
|
1247 |
+
"rstrip": false,
|
1248 |
+
"single_word": false,
|
1249 |
+
"special": true
|
1250 |
+
},
|
1251 |
+
"128156": {
|
1252 |
+
"content": "<|reserved_special_token_151|>",
|
1253 |
+
"lstrip": false,
|
1254 |
+
"normalized": false,
|
1255 |
+
"rstrip": false,
|
1256 |
+
"single_word": false,
|
1257 |
+
"special": true
|
1258 |
+
},
|
1259 |
+
"128157": {
|
1260 |
+
"content": "<|reserved_special_token_152|>",
|
1261 |
+
"lstrip": false,
|
1262 |
+
"normalized": false,
|
1263 |
+
"rstrip": false,
|
1264 |
+
"single_word": false,
|
1265 |
+
"special": true
|
1266 |
+
},
|
1267 |
+
"128158": {
|
1268 |
+
"content": "<|reserved_special_token_153|>",
|
1269 |
+
"lstrip": false,
|
1270 |
+
"normalized": false,
|
1271 |
+
"rstrip": false,
|
1272 |
+
"single_word": false,
|
1273 |
+
"special": true
|
1274 |
+
},
|
1275 |
+
"128159": {
|
1276 |
+
"content": "<|reserved_special_token_154|>",
|
1277 |
+
"lstrip": false,
|
1278 |
+
"normalized": false,
|
1279 |
+
"rstrip": false,
|
1280 |
+
"single_word": false,
|
1281 |
+
"special": true
|
1282 |
+
},
|
1283 |
+
"128160": {
|
1284 |
+
"content": "<|reserved_special_token_155|>",
|
1285 |
+
"lstrip": false,
|
1286 |
+
"normalized": false,
|
1287 |
+
"rstrip": false,
|
1288 |
+
"single_word": false,
|
1289 |
+
"special": true
|
1290 |
+
},
|
1291 |
+
"128161": {
|
1292 |
+
"content": "<|reserved_special_token_156|>",
|
1293 |
+
"lstrip": false,
|
1294 |
+
"normalized": false,
|
1295 |
+
"rstrip": false,
|
1296 |
+
"single_word": false,
|
1297 |
+
"special": true
|
1298 |
+
},
|
1299 |
+
"128162": {
|
1300 |
+
"content": "<|reserved_special_token_157|>",
|
1301 |
+
"lstrip": false,
|
1302 |
+
"normalized": false,
|
1303 |
+
"rstrip": false,
|
1304 |
+
"single_word": false,
|
1305 |
+
"special": true
|
1306 |
+
},
|
1307 |
+
"128163": {
|
1308 |
+
"content": "<|reserved_special_token_158|>",
|
1309 |
+
"lstrip": false,
|
1310 |
+
"normalized": false,
|
1311 |
+
"rstrip": false,
|
1312 |
+
"single_word": false,
|
1313 |
+
"special": true
|
1314 |
+
},
|
1315 |
+
"128164": {
|
1316 |
+
"content": "<|reserved_special_token_159|>",
|
1317 |
+
"lstrip": false,
|
1318 |
+
"normalized": false,
|
1319 |
+
"rstrip": false,
|
1320 |
+
"single_word": false,
|
1321 |
+
"special": true
|
1322 |
+
},
|
1323 |
+
"128165": {
|
1324 |
+
"content": "<|reserved_special_token_160|>",
|
1325 |
+
"lstrip": false,
|
1326 |
+
"normalized": false,
|
1327 |
+
"rstrip": false,
|
1328 |
+
"single_word": false,
|
1329 |
+
"special": true
|
1330 |
+
},
|
1331 |
+
"128166": {
|
1332 |
+
"content": "<|reserved_special_token_161|>",
|
1333 |
+
"lstrip": false,
|
1334 |
+
"normalized": false,
|
1335 |
+
"rstrip": false,
|
1336 |
+
"single_word": false,
|
1337 |
+
"special": true
|
1338 |
+
},
|
1339 |
+
"128167": {
|
1340 |
+
"content": "<|reserved_special_token_162|>",
|
1341 |
+
"lstrip": false,
|
1342 |
+
"normalized": false,
|
1343 |
+
"rstrip": false,
|
1344 |
+
"single_word": false,
|
1345 |
+
"special": true
|
1346 |
+
},
|
1347 |
+
"128168": {
|
1348 |
+
"content": "<|reserved_special_token_163|>",
|
1349 |
+
"lstrip": false,
|
1350 |
+
"normalized": false,
|
1351 |
+
"rstrip": false,
|
1352 |
+
"single_word": false,
|
1353 |
+
"special": true
|
1354 |
+
},
|
1355 |
+
"128169": {
|
1356 |
+
"content": "<|reserved_special_token_164|>",
|
1357 |
+
"lstrip": false,
|
1358 |
+
"normalized": false,
|
1359 |
+
"rstrip": false,
|
1360 |
+
"single_word": false,
|
1361 |
+
"special": true
|
1362 |
+
},
|
1363 |
+
"128170": {
|
1364 |
+
"content": "<|reserved_special_token_165|>",
|
1365 |
+
"lstrip": false,
|
1366 |
+
"normalized": false,
|
1367 |
+
"rstrip": false,
|
1368 |
+
"single_word": false,
|
1369 |
+
"special": true
|
1370 |
+
},
|
1371 |
+
"128171": {
|
1372 |
+
"content": "<|reserved_special_token_166|>",
|
1373 |
+
"lstrip": false,
|
1374 |
+
"normalized": false,
|
1375 |
+
"rstrip": false,
|
1376 |
+
"single_word": false,
|
1377 |
+
"special": true
|
1378 |
+
},
|
1379 |
+
"128172": {
|
1380 |
+
"content": "<|reserved_special_token_167|>",
|
1381 |
+
"lstrip": false,
|
1382 |
+
"normalized": false,
|
1383 |
+
"rstrip": false,
|
1384 |
+
"single_word": false,
|
1385 |
+
"special": true
|
1386 |
+
},
|
1387 |
+
"128173": {
|
1388 |
+
"content": "<|reserved_special_token_168|>",
|
1389 |
+
"lstrip": false,
|
1390 |
+
"normalized": false,
|
1391 |
+
"rstrip": false,
|
1392 |
+
"single_word": false,
|
1393 |
+
"special": true
|
1394 |
+
},
|
1395 |
+
"128174": {
|
1396 |
+
"content": "<|reserved_special_token_169|>",
|
1397 |
+
"lstrip": false,
|
1398 |
+
"normalized": false,
|
1399 |
+
"rstrip": false,
|
1400 |
+
"single_word": false,
|
1401 |
+
"special": true
|
1402 |
+
},
|
1403 |
+
"128175": {
|
1404 |
+
"content": "<|reserved_special_token_170|>",
|
1405 |
+
"lstrip": false,
|
1406 |
+
"normalized": false,
|
1407 |
+
"rstrip": false,
|
1408 |
+
"single_word": false,
|
1409 |
+
"special": true
|
1410 |
+
},
|
1411 |
+
"128176": {
|
1412 |
+
"content": "<|reserved_special_token_171|>",
|
1413 |
+
"lstrip": false,
|
1414 |
+
"normalized": false,
|
1415 |
+
"rstrip": false,
|
1416 |
+
"single_word": false,
|
1417 |
+
"special": true
|
1418 |
+
},
|
1419 |
+
"128177": {
|
1420 |
+
"content": "<|reserved_special_token_172|>",
|
1421 |
+
"lstrip": false,
|
1422 |
+
"normalized": false,
|
1423 |
+
"rstrip": false,
|
1424 |
+
"single_word": false,
|
1425 |
+
"special": true
|
1426 |
+
},
|
1427 |
+
"128178": {
|
1428 |
+
"content": "<|reserved_special_token_173|>",
|
1429 |
+
"lstrip": false,
|
1430 |
+
"normalized": false,
|
1431 |
+
"rstrip": false,
|
1432 |
+
"single_word": false,
|
1433 |
+
"special": true
|
1434 |
+
},
|
1435 |
+
"128179": {
|
1436 |
+
"content": "<|reserved_special_token_174|>",
|
1437 |
+
"lstrip": false,
|
1438 |
+
"normalized": false,
|
1439 |
+
"rstrip": false,
|
1440 |
+
"single_word": false,
|
1441 |
+
"special": true
|
1442 |
+
},
|
1443 |
+
"128180": {
|
1444 |
+
"content": "<|reserved_special_token_175|>",
|
1445 |
+
"lstrip": false,
|
1446 |
+
"normalized": false,
|
1447 |
+
"rstrip": false,
|
1448 |
+
"single_word": false,
|
1449 |
+
"special": true
|
1450 |
+
},
|
1451 |
+
"128181": {
|
1452 |
+
"content": "<|reserved_special_token_176|>",
|
1453 |
+
"lstrip": false,
|
1454 |
+
"normalized": false,
|
1455 |
+
"rstrip": false,
|
1456 |
+
"single_word": false,
|
1457 |
+
"special": true
|
1458 |
+
},
|
1459 |
+
"128182": {
|
1460 |
+
"content": "<|reserved_special_token_177|>",
|
1461 |
+
"lstrip": false,
|
1462 |
+
"normalized": false,
|
1463 |
+
"rstrip": false,
|
1464 |
+
"single_word": false,
|
1465 |
+
"special": true
|
1466 |
+
},
|
1467 |
+
"128183": {
|
1468 |
+
"content": "<|reserved_special_token_178|>",
|
1469 |
+
"lstrip": false,
|
1470 |
+
"normalized": false,
|
1471 |
+
"rstrip": false,
|
1472 |
+
"single_word": false,
|
1473 |
+
"special": true
|
1474 |
+
},
|
1475 |
+
"128184": {
|
1476 |
+
"content": "<|reserved_special_token_179|>",
|
1477 |
+
"lstrip": false,
|
1478 |
+
"normalized": false,
|
1479 |
+
"rstrip": false,
|
1480 |
+
"single_word": false,
|
1481 |
+
"special": true
|
1482 |
+
},
|
1483 |
+
"128185": {
|
1484 |
+
"content": "<|reserved_special_token_180|>",
|
1485 |
+
"lstrip": false,
|
1486 |
+
"normalized": false,
|
1487 |
+
"rstrip": false,
|
1488 |
+
"single_word": false,
|
1489 |
+
"special": true
|
1490 |
+
},
|
1491 |
+
"128186": {
|
1492 |
+
"content": "<|reserved_special_token_181|>",
|
1493 |
+
"lstrip": false,
|
1494 |
+
"normalized": false,
|
1495 |
+
"rstrip": false,
|
1496 |
+
"single_word": false,
|
1497 |
+
"special": true
|
1498 |
+
},
|
1499 |
+
"128187": {
|
1500 |
+
"content": "<|reserved_special_token_182|>",
|
1501 |
+
"lstrip": false,
|
1502 |
+
"normalized": false,
|
1503 |
+
"rstrip": false,
|
1504 |
+
"single_word": false,
|
1505 |
+
"special": true
|
1506 |
+
},
|
1507 |
+
"128188": {
|
1508 |
+
"content": "<|reserved_special_token_183|>",
|
1509 |
+
"lstrip": false,
|
1510 |
+
"normalized": false,
|
1511 |
+
"rstrip": false,
|
1512 |
+
"single_word": false,
|
1513 |
+
"special": true
|
1514 |
+
},
|
1515 |
+
"128189": {
|
1516 |
+
"content": "<|reserved_special_token_184|>",
|
1517 |
+
"lstrip": false,
|
1518 |
+
"normalized": false,
|
1519 |
+
"rstrip": false,
|
1520 |
+
"single_word": false,
|
1521 |
+
"special": true
|
1522 |
+
},
|
1523 |
+
"128190": {
|
1524 |
+
"content": "<|reserved_special_token_185|>",
|
1525 |
+
"lstrip": false,
|
1526 |
+
"normalized": false,
|
1527 |
+
"rstrip": false,
|
1528 |
+
"single_word": false,
|
1529 |
+
"special": true
|
1530 |
+
},
|
1531 |
+
"128191": {
|
1532 |
+
"content": "<|reserved_special_token_186|>",
|
1533 |
+
"lstrip": false,
|
1534 |
+
"normalized": false,
|
1535 |
+
"rstrip": false,
|
1536 |
+
"single_word": false,
|
1537 |
+
"special": true
|
1538 |
+
},
|
1539 |
+
"128192": {
|
1540 |
+
"content": "<|reserved_special_token_187|>",
|
1541 |
+
"lstrip": false,
|
1542 |
+
"normalized": false,
|
1543 |
+
"rstrip": false,
|
1544 |
+
"single_word": false,
|
1545 |
+
"special": true
|
1546 |
+
},
|
1547 |
+
"128193": {
|
1548 |
+
"content": "<|reserved_special_token_188|>",
|
1549 |
+
"lstrip": false,
|
1550 |
+
"normalized": false,
|
1551 |
+
"rstrip": false,
|
1552 |
+
"single_word": false,
|
1553 |
+
"special": true
|
1554 |
+
},
|
1555 |
+
"128194": {
|
1556 |
+
"content": "<|reserved_special_token_189|>",
|
1557 |
+
"lstrip": false,
|
1558 |
+
"normalized": false,
|
1559 |
+
"rstrip": false,
|
1560 |
+
"single_word": false,
|
1561 |
+
"special": true
|
1562 |
+
},
|
1563 |
+
"128195": {
|
1564 |
+
"content": "<|reserved_special_token_190|>",
|
1565 |
+
"lstrip": false,
|
1566 |
+
"normalized": false,
|
1567 |
+
"rstrip": false,
|
1568 |
+
"single_word": false,
|
1569 |
+
"special": true
|
1570 |
+
},
|
1571 |
+
"128196": {
|
1572 |
+
"content": "<|reserved_special_token_191|>",
|
1573 |
+
"lstrip": false,
|
1574 |
+
"normalized": false,
|
1575 |
+
"rstrip": false,
|
1576 |
+
"single_word": false,
|
1577 |
+
"special": true
|
1578 |
+
},
|
1579 |
+
"128197": {
|
1580 |
+
"content": "<|reserved_special_token_192|>",
|
1581 |
+
"lstrip": false,
|
1582 |
+
"normalized": false,
|
1583 |
+
"rstrip": false,
|
1584 |
+
"single_word": false,
|
1585 |
+
"special": true
|
1586 |
+
},
|
1587 |
+
"128198": {
|
1588 |
+
"content": "<|reserved_special_token_193|>",
|
1589 |
+
"lstrip": false,
|
1590 |
+
"normalized": false,
|
1591 |
+
"rstrip": false,
|
1592 |
+
"single_word": false,
|
1593 |
+
"special": true
|
1594 |
+
},
|
1595 |
+
"128199": {
|
1596 |
+
"content": "<|reserved_special_token_194|>",
|
1597 |
+
"lstrip": false,
|
1598 |
+
"normalized": false,
|
1599 |
+
"rstrip": false,
|
1600 |
+
"single_word": false,
|
1601 |
+
"special": true
|
1602 |
+
},
|
1603 |
+
"128200": {
|
1604 |
+
"content": "<|reserved_special_token_195|>",
|
1605 |
+
"lstrip": false,
|
1606 |
+
"normalized": false,
|
1607 |
+
"rstrip": false,
|
1608 |
+
"single_word": false,
|
1609 |
+
"special": true
|
1610 |
+
},
|
1611 |
+
"128201": {
|
1612 |
+
"content": "<|reserved_special_token_196|>",
|
1613 |
+
"lstrip": false,
|
1614 |
+
"normalized": false,
|
1615 |
+
"rstrip": false,
|
1616 |
+
"single_word": false,
|
1617 |
+
"special": true
|
1618 |
+
},
|
1619 |
+
"128202": {
|
1620 |
+
"content": "<|reserved_special_token_197|>",
|
1621 |
+
"lstrip": false,
|
1622 |
+
"normalized": false,
|
1623 |
+
"rstrip": false,
|
1624 |
+
"single_word": false,
|
1625 |
+
"special": true
|
1626 |
+
},
|
1627 |
+
"128203": {
|
1628 |
+
"content": "<|reserved_special_token_198|>",
|
1629 |
+
"lstrip": false,
|
1630 |
+
"normalized": false,
|
1631 |
+
"rstrip": false,
|
1632 |
+
"single_word": false,
|
1633 |
+
"special": true
|
1634 |
+
},
|
1635 |
+
"128204": {
|
1636 |
+
"content": "<|reserved_special_token_199|>",
|
1637 |
+
"lstrip": false,
|
1638 |
+
"normalized": false,
|
1639 |
+
"rstrip": false,
|
1640 |
+
"single_word": false,
|
1641 |
+
"special": true
|
1642 |
+
},
|
1643 |
+
"128205": {
|
1644 |
+
"content": "<|reserved_special_token_200|>",
|
1645 |
+
"lstrip": false,
|
1646 |
+
"normalized": false,
|
1647 |
+
"rstrip": false,
|
1648 |
+
"single_word": false,
|
1649 |
+
"special": true
|
1650 |
+
},
|
1651 |
+
"128206": {
|
1652 |
+
"content": "<|reserved_special_token_201|>",
|
1653 |
+
"lstrip": false,
|
1654 |
+
"normalized": false,
|
1655 |
+
"rstrip": false,
|
1656 |
+
"single_word": false,
|
1657 |
+
"special": true
|
1658 |
+
},
|
1659 |
+
"128207": {
|
1660 |
+
"content": "<|reserved_special_token_202|>",
|
1661 |
+
"lstrip": false,
|
1662 |
+
"normalized": false,
|
1663 |
+
"rstrip": false,
|
1664 |
+
"single_word": false,
|
1665 |
+
"special": true
|
1666 |
+
},
|
1667 |
+
"128208": {
|
1668 |
+
"content": "<|reserved_special_token_203|>",
|
1669 |
+
"lstrip": false,
|
1670 |
+
"normalized": false,
|
1671 |
+
"rstrip": false,
|
1672 |
+
"single_word": false,
|
1673 |
+
"special": true
|
1674 |
+
},
|
1675 |
+
"128209": {
|
1676 |
+
"content": "<|reserved_special_token_204|>",
|
1677 |
+
"lstrip": false,
|
1678 |
+
"normalized": false,
|
1679 |
+
"rstrip": false,
|
1680 |
+
"single_word": false,
|
1681 |
+
"special": true
|
1682 |
+
},
|
1683 |
+
"128210": {
|
1684 |
+
"content": "<|reserved_special_token_205|>",
|
1685 |
+
"lstrip": false,
|
1686 |
+
"normalized": false,
|
1687 |
+
"rstrip": false,
|
1688 |
+
"single_word": false,
|
1689 |
+
"special": true
|
1690 |
+
},
|
1691 |
+
"128211": {
|
1692 |
+
"content": "<|reserved_special_token_206|>",
|
1693 |
+
"lstrip": false,
|
1694 |
+
"normalized": false,
|
1695 |
+
"rstrip": false,
|
1696 |
+
"single_word": false,
|
1697 |
+
"special": true
|
1698 |
+
},
|
1699 |
+
"128212": {
|
1700 |
+
"content": "<|reserved_special_token_207|>",
|
1701 |
+
"lstrip": false,
|
1702 |
+
"normalized": false,
|
1703 |
+
"rstrip": false,
|
1704 |
+
"single_word": false,
|
1705 |
+
"special": true
|
1706 |
+
},
|
1707 |
+
"128213": {
|
1708 |
+
"content": "<|reserved_special_token_208|>",
|
1709 |
+
"lstrip": false,
|
1710 |
+
"normalized": false,
|
1711 |
+
"rstrip": false,
|
1712 |
+
"single_word": false,
|
1713 |
+
"special": true
|
1714 |
+
},
|
1715 |
+
"128214": {
|
1716 |
+
"content": "<|reserved_special_token_209|>",
|
1717 |
+
"lstrip": false,
|
1718 |
+
"normalized": false,
|
1719 |
+
"rstrip": false,
|
1720 |
+
"single_word": false,
|
1721 |
+
"special": true
|
1722 |
+
},
|
1723 |
+
"128215": {
|
1724 |
+
"content": "<|reserved_special_token_210|>",
|
1725 |
+
"lstrip": false,
|
1726 |
+
"normalized": false,
|
1727 |
+
"rstrip": false,
|
1728 |
+
"single_word": false,
|
1729 |
+
"special": true
|
1730 |
+
},
|
1731 |
+
"128216": {
|
1732 |
+
"content": "<|reserved_special_token_211|>",
|
1733 |
+
"lstrip": false,
|
1734 |
+
"normalized": false,
|
1735 |
+
"rstrip": false,
|
1736 |
+
"single_word": false,
|
1737 |
+
"special": true
|
1738 |
+
},
|
1739 |
+
"128217": {
|
1740 |
+
"content": "<|reserved_special_token_212|>",
|
1741 |
+
"lstrip": false,
|
1742 |
+
"normalized": false,
|
1743 |
+
"rstrip": false,
|
1744 |
+
"single_word": false,
|
1745 |
+
"special": true
|
1746 |
+
},
|
1747 |
+
"128218": {
|
1748 |
+
"content": "<|reserved_special_token_213|>",
|
1749 |
+
"lstrip": false,
|
1750 |
+
"normalized": false,
|
1751 |
+
"rstrip": false,
|
1752 |
+
"single_word": false,
|
1753 |
+
"special": true
|
1754 |
+
},
|
1755 |
+
"128219": {
|
1756 |
+
"content": "<|reserved_special_token_214|>",
|
1757 |
+
"lstrip": false,
|
1758 |
+
"normalized": false,
|
1759 |
+
"rstrip": false,
|
1760 |
+
"single_word": false,
|
1761 |
+
"special": true
|
1762 |
+
},
|
1763 |
+
"128220": {
|
1764 |
+
"content": "<|reserved_special_token_215|>",
|
1765 |
+
"lstrip": false,
|
1766 |
+
"normalized": false,
|
1767 |
+
"rstrip": false,
|
1768 |
+
"single_word": false,
|
1769 |
+
"special": true
|
1770 |
+
},
|
1771 |
+
"128221": {
|
1772 |
+
"content": "<|reserved_special_token_216|>",
|
1773 |
+
"lstrip": false,
|
1774 |
+
"normalized": false,
|
1775 |
+
"rstrip": false,
|
1776 |
+
"single_word": false,
|
1777 |
+
"special": true
|
1778 |
+
},
|
1779 |
+
"128222": {
|
1780 |
+
"content": "<|reserved_special_token_217|>",
|
1781 |
+
"lstrip": false,
|
1782 |
+
"normalized": false,
|
1783 |
+
"rstrip": false,
|
1784 |
+
"single_word": false,
|
1785 |
+
"special": true
|
1786 |
+
},
|
1787 |
+
"128223": {
|
1788 |
+
"content": "<|reserved_special_token_218|>",
|
1789 |
+
"lstrip": false,
|
1790 |
+
"normalized": false,
|
1791 |
+
"rstrip": false,
|
1792 |
+
"single_word": false,
|
1793 |
+
"special": true
|
1794 |
+
},
|
1795 |
+
"128224": {
|
1796 |
+
"content": "<|reserved_special_token_219|>",
|
1797 |
+
"lstrip": false,
|
1798 |
+
"normalized": false,
|
1799 |
+
"rstrip": false,
|
1800 |
+
"single_word": false,
|
1801 |
+
"special": true
|
1802 |
+
},
|
1803 |
+
"128225": {
|
1804 |
+
"content": "<|reserved_special_token_220|>",
|
1805 |
+
"lstrip": false,
|
1806 |
+
"normalized": false,
|
1807 |
+
"rstrip": false,
|
1808 |
+
"single_word": false,
|
1809 |
+
"special": true
|
1810 |
+
},
|
1811 |
+
"128226": {
|
1812 |
+
"content": "<|reserved_special_token_221|>",
|
1813 |
+
"lstrip": false,
|
1814 |
+
"normalized": false,
|
1815 |
+
"rstrip": false,
|
1816 |
+
"single_word": false,
|
1817 |
+
"special": true
|
1818 |
+
},
|
1819 |
+
"128227": {
|
1820 |
+
"content": "<|reserved_special_token_222|>",
|
1821 |
+
"lstrip": false,
|
1822 |
+
"normalized": false,
|
1823 |
+
"rstrip": false,
|
1824 |
+
"single_word": false,
|
1825 |
+
"special": true
|
1826 |
+
},
|
1827 |
+
"128228": {
|
1828 |
+
"content": "<|reserved_special_token_223|>",
|
1829 |
+
"lstrip": false,
|
1830 |
+
"normalized": false,
|
1831 |
+
"rstrip": false,
|
1832 |
+
"single_word": false,
|
1833 |
+
"special": true
|
1834 |
+
},
|
1835 |
+
"128229": {
|
1836 |
+
"content": "<|reserved_special_token_224|>",
|
1837 |
+
"lstrip": false,
|
1838 |
+
"normalized": false,
|
1839 |
+
"rstrip": false,
|
1840 |
+
"single_word": false,
|
1841 |
+
"special": true
|
1842 |
+
},
|
1843 |
+
"128230": {
|
1844 |
+
"content": "<|reserved_special_token_225|>",
|
1845 |
+
"lstrip": false,
|
1846 |
+
"normalized": false,
|
1847 |
+
"rstrip": false,
|
1848 |
+
"single_word": false,
|
1849 |
+
"special": true
|
1850 |
+
},
|
1851 |
+
"128231": {
|
1852 |
+
"content": "<|reserved_special_token_226|>",
|
1853 |
+
"lstrip": false,
|
1854 |
+
"normalized": false,
|
1855 |
+
"rstrip": false,
|
1856 |
+
"single_word": false,
|
1857 |
+
"special": true
|
1858 |
+
},
|
1859 |
+
"128232": {
|
1860 |
+
"content": "<|reserved_special_token_227|>",
|
1861 |
+
"lstrip": false,
|
1862 |
+
"normalized": false,
|
1863 |
+
"rstrip": false,
|
1864 |
+
"single_word": false,
|
1865 |
+
"special": true
|
1866 |
+
},
|
1867 |
+
"128233": {
|
1868 |
+
"content": "<|reserved_special_token_228|>",
|
1869 |
+
"lstrip": false,
|
1870 |
+
"normalized": false,
|
1871 |
+
"rstrip": false,
|
1872 |
+
"single_word": false,
|
1873 |
+
"special": true
|
1874 |
+
},
|
1875 |
+
"128234": {
|
1876 |
+
"content": "<|reserved_special_token_229|>",
|
1877 |
+
"lstrip": false,
|
1878 |
+
"normalized": false,
|
1879 |
+
"rstrip": false,
|
1880 |
+
"single_word": false,
|
1881 |
+
"special": true
|
1882 |
+
},
|
1883 |
+
"128235": {
|
1884 |
+
"content": "<|reserved_special_token_230|>",
|
1885 |
+
"lstrip": false,
|
1886 |
+
"normalized": false,
|
1887 |
+
"rstrip": false,
|
1888 |
+
"single_word": false,
|
1889 |
+
"special": true
|
1890 |
+
},
|
1891 |
+
"128236": {
|
1892 |
+
"content": "<|reserved_special_token_231|>",
|
1893 |
+
"lstrip": false,
|
1894 |
+
"normalized": false,
|
1895 |
+
"rstrip": false,
|
1896 |
+
"single_word": false,
|
1897 |
+
"special": true
|
1898 |
+
},
|
1899 |
+
"128237": {
|
1900 |
+
"content": "<|reserved_special_token_232|>",
|
1901 |
+
"lstrip": false,
|
1902 |
+
"normalized": false,
|
1903 |
+
"rstrip": false,
|
1904 |
+
"single_word": false,
|
1905 |
+
"special": true
|
1906 |
+
},
|
1907 |
+
"128238": {
|
1908 |
+
"content": "<|reserved_special_token_233|>",
|
1909 |
+
"lstrip": false,
|
1910 |
+
"normalized": false,
|
1911 |
+
"rstrip": false,
|
1912 |
+
"single_word": false,
|
1913 |
+
"special": true
|
1914 |
+
},
|
1915 |
+
"128239": {
|
1916 |
+
"content": "<|reserved_special_token_234|>",
|
1917 |
+
"lstrip": false,
|
1918 |
+
"normalized": false,
|
1919 |
+
"rstrip": false,
|
1920 |
+
"single_word": false,
|
1921 |
+
"special": true
|
1922 |
+
},
|
1923 |
+
"128240": {
|
1924 |
+
"content": "<|reserved_special_token_235|>",
|
1925 |
+
"lstrip": false,
|
1926 |
+
"normalized": false,
|
1927 |
+
"rstrip": false,
|
1928 |
+
"single_word": false,
|
1929 |
+
"special": true
|
1930 |
+
},
|
1931 |
+
"128241": {
|
1932 |
+
"content": "<|reserved_special_token_236|>",
|
1933 |
+
"lstrip": false,
|
1934 |
+
"normalized": false,
|
1935 |
+
"rstrip": false,
|
1936 |
+
"single_word": false,
|
1937 |
+
"special": true
|
1938 |
+
},
|
1939 |
+
"128242": {
|
1940 |
+
"content": "<|reserved_special_token_237|>",
|
1941 |
+
"lstrip": false,
|
1942 |
+
"normalized": false,
|
1943 |
+
"rstrip": false,
|
1944 |
+
"single_word": false,
|
1945 |
+
"special": true
|
1946 |
+
},
|
1947 |
+
"128243": {
|
1948 |
+
"content": "<|reserved_special_token_238|>",
|
1949 |
+
"lstrip": false,
|
1950 |
+
"normalized": false,
|
1951 |
+
"rstrip": false,
|
1952 |
+
"single_word": false,
|
1953 |
+
"special": true
|
1954 |
+
},
|
1955 |
+
"128244": {
|
1956 |
+
"content": "<|reserved_special_token_239|>",
|
1957 |
+
"lstrip": false,
|
1958 |
+
"normalized": false,
|
1959 |
+
"rstrip": false,
|
1960 |
+
"single_word": false,
|
1961 |
+
"special": true
|
1962 |
+
},
|
1963 |
+
"128245": {
|
1964 |
+
"content": "<|reserved_special_token_240|>",
|
1965 |
+
"lstrip": false,
|
1966 |
+
"normalized": false,
|
1967 |
+
"rstrip": false,
|
1968 |
+
"single_word": false,
|
1969 |
+
"special": true
|
1970 |
+
},
|
1971 |
+
"128246": {
|
1972 |
+
"content": "<|reserved_special_token_241|>",
|
1973 |
+
"lstrip": false,
|
1974 |
+
"normalized": false,
|
1975 |
+
"rstrip": false,
|
1976 |
+
"single_word": false,
|
1977 |
+
"special": true
|
1978 |
+
},
|
1979 |
+
"128247": {
|
1980 |
+
"content": "<|reserved_special_token_242|>",
|
1981 |
+
"lstrip": false,
|
1982 |
+
"normalized": false,
|
1983 |
+
"rstrip": false,
|
1984 |
+
"single_word": false,
|
1985 |
+
"special": true
|
1986 |
+
},
|
1987 |
+
"128248": {
|
1988 |
+
"content": "<|reserved_special_token_243|>",
|
1989 |
+
"lstrip": false,
|
1990 |
+
"normalized": false,
|
1991 |
+
"rstrip": false,
|
1992 |
+
"single_word": false,
|
1993 |
+
"special": true
|
1994 |
+
},
|
1995 |
+
"128249": {
|
1996 |
+
"content": "<|reserved_special_token_244|>",
|
1997 |
+
"lstrip": false,
|
1998 |
+
"normalized": false,
|
1999 |
+
"rstrip": false,
|
2000 |
+
"single_word": false,
|
2001 |
+
"special": true
|
2002 |
+
},
|
2003 |
+
"128250": {
|
2004 |
+
"content": "<|reserved_special_token_245|>",
|
2005 |
+
"lstrip": false,
|
2006 |
+
"normalized": false,
|
2007 |
+
"rstrip": false,
|
2008 |
+
"single_word": false,
|
2009 |
+
"special": true
|
2010 |
+
},
|
2011 |
+
"128251": {
|
2012 |
+
"content": "<|reserved_special_token_246|>",
|
2013 |
+
"lstrip": false,
|
2014 |
+
"normalized": false,
|
2015 |
+
"rstrip": false,
|
2016 |
+
"single_word": false,
|
2017 |
+
"special": true
|
2018 |
+
},
|
2019 |
+
"128252": {
|
2020 |
+
"content": "<|reserved_special_token_247|>",
|
2021 |
+
"lstrip": false,
|
2022 |
+
"normalized": false,
|
2023 |
+
"rstrip": false,
|
2024 |
+
"single_word": false,
|
2025 |
+
"special": true
|
2026 |
+
},
|
2027 |
+
"128253": {
|
2028 |
+
"content": "<|reserved_special_token_248|>",
|
2029 |
+
"lstrip": false,
|
2030 |
+
"normalized": false,
|
2031 |
+
"rstrip": false,
|
2032 |
+
"single_word": false,
|
2033 |
+
"special": true
|
2034 |
+
},
|
2035 |
+
"128254": {
|
2036 |
+
"content": "<|reserved_special_token_249|>",
|
2037 |
+
"lstrip": false,
|
2038 |
+
"normalized": false,
|
2039 |
+
"rstrip": false,
|
2040 |
+
"single_word": false,
|
2041 |
+
"special": true
|
2042 |
+
},
|
2043 |
+
"128255": {
|
2044 |
+
"content": "<|reserved_special_token_250|>",
|
2045 |
+
"lstrip": false,
|
2046 |
+
"normalized": false,
|
2047 |
+
"rstrip": false,
|
2048 |
+
"single_word": false,
|
2049 |
+
"special": true
|
2050 |
+
}
|
2051 |
+
},
|
2052 |
+
"bos_token": "<|begin_of_text|>",
|
2053 |
+
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
2054 |
+
"clean_up_tokenization_spaces": true,
|
2055 |
+
"eos_token": "<|eot_id|>",
|
2056 |
+
"model_input_names": [
|
2057 |
+
"input_ids",
|
2058 |
+
"attention_mask"
|
2059 |
+
],
|
2060 |
+
"model_max_length": 2048,
|
2061 |
+
"pad_token": "<|eot_id|>",
|
2062 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
2063 |
+
}
|
checkpoint-467/trainer_state.json
ADDED
@@ -0,0 +1,1444 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9982631930527722,
|
5 |
+
"eval_steps": 400,
|
6 |
+
"global_step": 467,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01068804275217101,
|
13 |
+
"grad_norm": 51.9219704867916,
|
14 |
+
"learning_rate": 1.0638297872340425e-07,
|
15 |
+
"logits/chosen": -1.0090945959091187,
|
16 |
+
"logits/rejected": -0.9798948168754578,
|
17 |
+
"logps/chosen": -0.2737821936607361,
|
18 |
+
"logps/rejected": -0.2714875340461731,
|
19 |
+
"loss": 2.9624,
|
20 |
+
"rewards/accuracies": 0.4375,
|
21 |
+
"rewards/chosen": -2.7378220558166504,
|
22 |
+
"rewards/margins": -0.02294684387743473,
|
23 |
+
"rewards/rejected": -2.7148749828338623,
|
24 |
+
"step": 5
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.02137608550434202,
|
28 |
+
"grad_norm": 44.19632899404353,
|
29 |
+
"learning_rate": 2.127659574468085e-07,
|
30 |
+
"logits/chosen": -1.0468437671661377,
|
31 |
+
"logits/rejected": -0.9794818758964539,
|
32 |
+
"logps/chosen": -0.2943094074726105,
|
33 |
+
"logps/rejected": -0.2997472286224365,
|
34 |
+
"loss": 3.2285,
|
35 |
+
"rewards/accuracies": 0.512499988079071,
|
36 |
+
"rewards/chosen": -2.943093776702881,
|
37 |
+
"rewards/margins": 0.054378531873226166,
|
38 |
+
"rewards/rejected": -2.9974725246429443,
|
39 |
+
"step": 10
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.03206412825651302,
|
43 |
+
"grad_norm": 51.06549177485018,
|
44 |
+
"learning_rate": 3.1914893617021275e-07,
|
45 |
+
"logits/chosen": -0.9672244191169739,
|
46 |
+
"logits/rejected": -0.9858204126358032,
|
47 |
+
"logps/chosen": -0.2640294134616852,
|
48 |
+
"logps/rejected": -0.30089089274406433,
|
49 |
+
"loss": 3.2949,
|
50 |
+
"rewards/accuracies": 0.6000000238418579,
|
51 |
+
"rewards/chosen": -2.640293836593628,
|
52 |
+
"rewards/margins": 0.3686152398586273,
|
53 |
+
"rewards/rejected": -3.008909225463867,
|
54 |
+
"step": 15
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.04275217100868404,
|
58 |
+
"grad_norm": 74.83681858154256,
|
59 |
+
"learning_rate": 4.25531914893617e-07,
|
60 |
+
"logits/chosen": -0.9596344232559204,
|
61 |
+
"logits/rejected": -0.933236300945282,
|
62 |
+
"logps/chosen": -0.2778920531272888,
|
63 |
+
"logps/rejected": -0.29140567779541016,
|
64 |
+
"loss": 3.0107,
|
65 |
+
"rewards/accuracies": 0.5,
|
66 |
+
"rewards/chosen": -2.7789206504821777,
|
67 |
+
"rewards/margins": 0.13513638079166412,
|
68 |
+
"rewards/rejected": -2.9140570163726807,
|
69 |
+
"step": 20
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.053440213760855046,
|
73 |
+
"grad_norm": 53.488412779583946,
|
74 |
+
"learning_rate": 5.319148936170212e-07,
|
75 |
+
"logits/chosen": -1.0089600086212158,
|
76 |
+
"logits/rejected": -0.9799430966377258,
|
77 |
+
"logps/chosen": -0.27165931463241577,
|
78 |
+
"logps/rejected": -0.2783976197242737,
|
79 |
+
"loss": 3.2847,
|
80 |
+
"rewards/accuracies": 0.5,
|
81 |
+
"rewards/chosen": -2.7165932655334473,
|
82 |
+
"rewards/margins": 0.06738300621509552,
|
83 |
+
"rewards/rejected": -2.7839760780334473,
|
84 |
+
"step": 25
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.06412825651302605,
|
88 |
+
"grad_norm": 49.467165701102346,
|
89 |
+
"learning_rate": 6.382978723404255e-07,
|
90 |
+
"logits/chosen": -0.9974703788757324,
|
91 |
+
"logits/rejected": -0.952576756477356,
|
92 |
+
"logps/chosen": -0.2734770178794861,
|
93 |
+
"logps/rejected": -0.27953463792800903,
|
94 |
+
"loss": 3.0768,
|
95 |
+
"rewards/accuracies": 0.42500001192092896,
|
96 |
+
"rewards/chosen": -2.734769821166992,
|
97 |
+
"rewards/margins": 0.06057664006948471,
|
98 |
+
"rewards/rejected": -2.795346736907959,
|
99 |
+
"step": 30
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.07481629926519706,
|
103 |
+
"grad_norm": 62.938723083055315,
|
104 |
+
"learning_rate": 7.446808510638297e-07,
|
105 |
+
"logits/chosen": -1.055626630783081,
|
106 |
+
"logits/rejected": -0.9798073768615723,
|
107 |
+
"logps/chosen": -0.29555463790893555,
|
108 |
+
"logps/rejected": -0.3219638466835022,
|
109 |
+
"loss": 3.0274,
|
110 |
+
"rewards/accuracies": 0.512499988079071,
|
111 |
+
"rewards/chosen": -2.9555466175079346,
|
112 |
+
"rewards/margins": 0.26409202814102173,
|
113 |
+
"rewards/rejected": -3.2196388244628906,
|
114 |
+
"step": 35
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.08550434201736808,
|
118 |
+
"grad_norm": 60.78411434363956,
|
119 |
+
"learning_rate": 8.51063829787234e-07,
|
120 |
+
"logits/chosen": -0.9993880987167358,
|
121 |
+
"logits/rejected": -0.9557031393051147,
|
122 |
+
"logps/chosen": -0.2811431288719177,
|
123 |
+
"logps/rejected": -0.3281245231628418,
|
124 |
+
"loss": 2.953,
|
125 |
+
"rewards/accuracies": 0.59375,
|
126 |
+
"rewards/chosen": -2.8114311695098877,
|
127 |
+
"rewards/margins": 0.469813734292984,
|
128 |
+
"rewards/rejected": -3.281245470046997,
|
129 |
+
"step": 40
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.09619238476953908,
|
133 |
+
"grad_norm": 37.98461592095763,
|
134 |
+
"learning_rate": 9.574468085106384e-07,
|
135 |
+
"logits/chosen": -1.0411790609359741,
|
136 |
+
"logits/rejected": -0.9992967844009399,
|
137 |
+
"logps/chosen": -0.30747953057289124,
|
138 |
+
"logps/rejected": -0.3615890145301819,
|
139 |
+
"loss": 3.0174,
|
140 |
+
"rewards/accuracies": 0.543749988079071,
|
141 |
+
"rewards/chosen": -3.0747952461242676,
|
142 |
+
"rewards/margins": 0.5410946607589722,
|
143 |
+
"rewards/rejected": -3.6158900260925293,
|
144 |
+
"step": 45
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.10688042752171009,
|
148 |
+
"grad_norm": 117.4214402638359,
|
149 |
+
"learning_rate": 9.998741174712533e-07,
|
150 |
+
"logits/chosen": -1.0310847759246826,
|
151 |
+
"logits/rejected": -0.9821462631225586,
|
152 |
+
"logps/chosen": -0.31808674335479736,
|
153 |
+
"logps/rejected": -0.3582245707511902,
|
154 |
+
"loss": 3.0624,
|
155 |
+
"rewards/accuracies": 0.4937500059604645,
|
156 |
+
"rewards/chosen": -3.1808676719665527,
|
157 |
+
"rewards/margins": 0.4013778567314148,
|
158 |
+
"rewards/rejected": -3.5822455883026123,
|
159 |
+
"step": 50
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.11756847027388109,
|
163 |
+
"grad_norm": 170.90804995599427,
|
164 |
+
"learning_rate": 9.991050648838675e-07,
|
165 |
+
"logits/chosen": -1.0685880184173584,
|
166 |
+
"logits/rejected": -1.0338609218597412,
|
167 |
+
"logps/chosen": -0.310200572013855,
|
168 |
+
"logps/rejected": -0.37700629234313965,
|
169 |
+
"loss": 2.7117,
|
170 |
+
"rewards/accuracies": 0.6000000238418579,
|
171 |
+
"rewards/chosen": -3.10200572013855,
|
172 |
+
"rewards/margins": 0.6680572628974915,
|
173 |
+
"rewards/rejected": -3.770063877105713,
|
174 |
+
"step": 55
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 0.1282565130260521,
|
178 |
+
"grad_norm": 134.13615502558548,
|
179 |
+
"learning_rate": 9.97637968732563e-07,
|
180 |
+
"logits/chosen": -1.109356164932251,
|
181 |
+
"logits/rejected": -1.0756348371505737,
|
182 |
+
"logps/chosen": -0.37418466806411743,
|
183 |
+
"logps/rejected": -0.3752634525299072,
|
184 |
+
"loss": 2.9555,
|
185 |
+
"rewards/accuracies": 0.5375000238418579,
|
186 |
+
"rewards/chosen": -3.7418465614318848,
|
187 |
+
"rewards/margins": 0.010788190178573132,
|
188 |
+
"rewards/rejected": -3.7526347637176514,
|
189 |
+
"step": 60
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.13894455577822312,
|
193 |
+
"grad_norm": 62.988442946717754,
|
194 |
+
"learning_rate": 9.954748808839674e-07,
|
195 |
+
"logits/chosen": -1.0235508680343628,
|
196 |
+
"logits/rejected": -0.9943636059761047,
|
197 |
+
"logps/chosen": -0.3913114666938782,
|
198 |
+
"logps/rejected": -0.4661448001861572,
|
199 |
+
"loss": 2.8601,
|
200 |
+
"rewards/accuracies": 0.6000000238418579,
|
201 |
+
"rewards/chosen": -3.9131150245666504,
|
202 |
+
"rewards/margins": 0.7483334541320801,
|
203 |
+
"rewards/rejected": -4.6614484786987305,
|
204 |
+
"step": 65
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 0.14963259853039412,
|
208 |
+
"grad_norm": 43.4379227945051,
|
209 |
+
"learning_rate": 9.926188266120295e-07,
|
210 |
+
"logits/chosen": -1.0352689027786255,
|
211 |
+
"logits/rejected": -1.0102473497390747,
|
212 |
+
"logps/chosen": -0.353306382894516,
|
213 |
+
"logps/rejected": -0.4401523172855377,
|
214 |
+
"loss": 2.8751,
|
215 |
+
"rewards/accuracies": 0.5562499761581421,
|
216 |
+
"rewards/chosen": -3.5330634117126465,
|
217 |
+
"rewards/margins": 0.8684590458869934,
|
218 |
+
"rewards/rejected": -4.401522636413574,
|
219 |
+
"step": 70
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.16032064128256512,
|
223 |
+
"grad_norm": 83.11781382244568,
|
224 |
+
"learning_rate": 9.890738003669027e-07,
|
225 |
+
"logits/chosen": -0.996098518371582,
|
226 |
+
"logits/rejected": -0.9254637956619263,
|
227 |
+
"logps/chosen": -0.34757333993911743,
|
228 |
+
"logps/rejected": -0.413855642080307,
|
229 |
+
"loss": 2.8749,
|
230 |
+
"rewards/accuracies": 0.53125,
|
231 |
+
"rewards/chosen": -3.475733518600464,
|
232 |
+
"rewards/margins": 0.6628231406211853,
|
233 |
+
"rewards/rejected": -4.138556480407715,
|
234 |
+
"step": 75
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.17100868403473615,
|
238 |
+
"grad_norm": 51.202568906876266,
|
239 |
+
"learning_rate": 9.848447601883433e-07,
|
240 |
+
"logits/chosen": -0.9647027850151062,
|
241 |
+
"logits/rejected": -0.950391411781311,
|
242 |
+
"logps/chosen": -0.3513404130935669,
|
243 |
+
"logps/rejected": -0.46568623185157776,
|
244 |
+
"loss": 2.6436,
|
245 |
+
"rewards/accuracies": 0.59375,
|
246 |
+
"rewards/chosen": -3.513404369354248,
|
247 |
+
"rewards/margins": 1.1434578895568848,
|
248 |
+
"rewards/rejected": -4.656861782073975,
|
249 |
+
"step": 80
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.18169672678690715,
|
253 |
+
"grad_norm": 70.97672847293224,
|
254 |
+
"learning_rate": 9.799376207714444e-07,
|
255 |
+
"logits/chosen": -0.9941811561584473,
|
256 |
+
"logits/rejected": -0.9714711308479309,
|
257 |
+
"logps/chosen": -0.3401820659637451,
|
258 |
+
"logps/rejected": -0.40950268507003784,
|
259 |
+
"loss": 2.6659,
|
260 |
+
"rewards/accuracies": 0.606249988079071,
|
261 |
+
"rewards/chosen": -3.401820659637451,
|
262 |
+
"rewards/margins": 0.6932064890861511,
|
263 |
+
"rewards/rejected": -4.095026969909668,
|
264 |
+
"step": 85
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.19238476953907815,
|
268 |
+
"grad_norm": 152.3633388876466,
|
269 |
+
"learning_rate": 9.743592451943998e-07,
|
270 |
+
"logits/chosen": -1.0390641689300537,
|
271 |
+
"logits/rejected": -1.002964735031128,
|
272 |
+
"logps/chosen": -0.4347335696220398,
|
273 |
+
"logps/rejected": -0.5336366891860962,
|
274 |
+
"loss": 2.8761,
|
275 |
+
"rewards/accuracies": 0.5625,
|
276 |
+
"rewards/chosen": -4.347336769104004,
|
277 |
+
"rewards/margins": 0.9890311360359192,
|
278 |
+
"rewards/rejected": -5.336367130279541,
|
279 |
+
"step": 90
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.20307281229124916,
|
283 |
+
"grad_norm": 48.723602234021136,
|
284 |
+
"learning_rate": 9.681174353198686e-07,
|
285 |
+
"logits/chosen": -1.112140417098999,
|
286 |
+
"logits/rejected": -1.0275517702102661,
|
287 |
+
"logps/chosen": -0.4523504674434662,
|
288 |
+
"logps/rejected": -0.5077233910560608,
|
289 |
+
"loss": 2.653,
|
290 |
+
"rewards/accuracies": 0.543749988079071,
|
291 |
+
"rewards/chosen": -4.523504734039307,
|
292 |
+
"rewards/margins": 0.5537286996841431,
|
293 |
+
"rewards/rejected": -5.077233791351318,
|
294 |
+
"step": 95
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 0.21376085504342018,
|
298 |
+
"grad_norm": 67.84801804788158,
|
299 |
+
"learning_rate": 9.612209208833646e-07,
|
300 |
+
"logits/chosen": -1.000867486000061,
|
301 |
+
"logits/rejected": -0.9747543334960938,
|
302 |
+
"logps/chosen": -0.4416694641113281,
|
303 |
+
"logps/rejected": -0.5102046728134155,
|
304 |
+
"loss": 2.8531,
|
305 |
+
"rewards/accuracies": 0.612500011920929,
|
306 |
+
"rewards/chosen": -4.4166951179504395,
|
307 |
+
"rewards/margins": 0.6853527426719666,
|
308 |
+
"rewards/rejected": -5.102047920227051,
|
309 |
+
"step": 100
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.22444889779559118,
|
313 |
+
"grad_norm": 73.17857628661973,
|
314 |
+
"learning_rate": 9.536793472839324e-07,
|
315 |
+
"logits/chosen": -1.0074902772903442,
|
316 |
+
"logits/rejected": -0.9537180662155151,
|
317 |
+
"logps/chosen": -0.40940943360328674,
|
318 |
+
"logps/rejected": -0.5277153849601746,
|
319 |
+
"loss": 2.9423,
|
320 |
+
"rewards/accuracies": 0.637499988079071,
|
321 |
+
"rewards/chosen": -4.094094276428223,
|
322 |
+
"rewards/margins": 1.1830594539642334,
|
323 |
+
"rewards/rejected": -5.277153968811035,
|
324 |
+
"step": 105
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.23513694054776219,
|
328 |
+
"grad_norm": 58.188153286610884,
|
329 |
+
"learning_rate": 9.455032620941839e-07,
|
330 |
+
"logits/chosen": -0.9680612683296204,
|
331 |
+
"logits/rejected": -0.9060274362564087,
|
332 |
+
"logps/chosen": -0.4779647886753082,
|
333 |
+
"logps/rejected": -0.6175049543380737,
|
334 |
+
"loss": 2.7583,
|
335 |
+
"rewards/accuracies": 0.6312500238418579,
|
336 |
+
"rewards/chosen": -4.7796478271484375,
|
337 |
+
"rewards/margins": 1.3954023122787476,
|
338 |
+
"rewards/rejected": -6.175050258636475,
|
339 |
+
"step": 110
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.2458249832999332,
|
343 |
+
"grad_norm": 55.673813232077116,
|
344 |
+
"learning_rate": 9.367041003085648e-07,
|
345 |
+
"logits/chosen": -1.0318225622177124,
|
346 |
+
"logits/rejected": -0.9690453410148621,
|
347 |
+
"logps/chosen": -0.5004153251647949,
|
348 |
+
"logps/rejected": -0.564782440662384,
|
349 |
+
"loss": 2.6268,
|
350 |
+
"rewards/accuracies": 0.6187499761581421,
|
351 |
+
"rewards/chosen": -5.004153251647949,
|
352 |
+
"rewards/margins": 0.643670916557312,
|
353 |
+
"rewards/rejected": -5.647824287414551,
|
354 |
+
"step": 115
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 0.2565130260521042,
|
358 |
+
"grad_norm": 93.24909470705533,
|
359 |
+
"learning_rate": 9.272941683504808e-07,
|
360 |
+
"logits/chosen": -0.9859496355056763,
|
361 |
+
"logits/rejected": -0.892734169960022,
|
362 |
+
"logps/chosen": -0.5100774168968201,
|
363 |
+
"logps/rejected": -0.7314041256904602,
|
364 |
+
"loss": 2.6175,
|
365 |
+
"rewards/accuracies": 0.7562500238418579,
|
366 |
+
"rewards/chosen": -5.100773811340332,
|
367 |
+
"rewards/margins": 2.213266372680664,
|
368 |
+
"rewards/rejected": -7.314040184020996,
|
369 |
+
"step": 120
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.26720106880427524,
|
373 |
+
"grad_norm": 62.49186315009438,
|
374 |
+
"learning_rate": 9.172866268606513e-07,
|
375 |
+
"logits/chosen": -1.0501500368118286,
|
376 |
+
"logits/rejected": -1.0046356916427612,
|
377 |
+
"logps/chosen": -0.568703293800354,
|
378 |
+
"logps/rejected": -0.6640041470527649,
|
379 |
+
"loss": 2.4292,
|
380 |
+
"rewards/accuracies": 0.637499988079071,
|
381 |
+
"rewards/chosen": -5.687033176422119,
|
382 |
+
"rewards/margins": 0.9530088305473328,
|
383 |
+
"rewards/rejected": -6.640041351318359,
|
384 |
+
"step": 125
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 0.27788911155644624,
|
388 |
+
"grad_norm": 94.37106722966159,
|
389 |
+
"learning_rate": 9.066954722907638e-07,
|
390 |
+
"logits/chosen": -1.0626311302185059,
|
391 |
+
"logits/rejected": -1.0533256530761719,
|
392 |
+
"logps/chosen": -0.5523235201835632,
|
393 |
+
"logps/rejected": -0.8242877125740051,
|
394 |
+
"loss": 2.3709,
|
395 |
+
"rewards/accuracies": 0.71875,
|
396 |
+
"rewards/chosen": -5.5232343673706055,
|
397 |
+
"rewards/margins": 2.719642162322998,
|
398 |
+
"rewards/rejected": -8.242877006530762,
|
399 |
+
"step": 130
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.28857715430861725,
|
403 |
+
"grad_norm": 78.14100135139738,
|
404 |
+
"learning_rate": 8.955355173281707e-07,
|
405 |
+
"logits/chosen": -1.0362498760223389,
|
406 |
+
"logits/rejected": -0.9840585589408875,
|
407 |
+
"logps/chosen": -0.5984936952590942,
|
408 |
+
"logps/rejected": -0.7128698825836182,
|
409 |
+
"loss": 2.355,
|
410 |
+
"rewards/accuracies": 0.6937500238418579,
|
411 |
+
"rewards/chosen": -5.984936714172363,
|
412 |
+
"rewards/margins": 1.1437618732452393,
|
413 |
+
"rewards/rejected": -7.128698825836182,
|
414 |
+
"step": 135
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 0.29926519706078825,
|
418 |
+
"grad_norm": 80.07356057826689,
|
419 |
+
"learning_rate": 8.838223701790055e-07,
|
420 |
+
"logits/chosen": -1.0999033451080322,
|
421 |
+
"logits/rejected": -1.0737004280090332,
|
422 |
+
"logps/chosen": -0.719946026802063,
|
423 |
+
"logps/rejected": -0.8201924562454224,
|
424 |
+
"loss": 2.4387,
|
425 |
+
"rewards/accuracies": 0.699999988079071,
|
426 |
+
"rewards/chosen": -7.199460029602051,
|
427 |
+
"rewards/margins": 1.0024646520614624,
|
428 |
+
"rewards/rejected": -8.201925277709961,
|
429 |
+
"step": 140
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.30995323981295925,
|
433 |
+
"grad_norm": 90.63467648251373,
|
434 |
+
"learning_rate": 8.71572412738697e-07,
|
435 |
+
"logits/chosen": -1.0016281604766846,
|
436 |
+
"logits/rejected": -0.9718937873840332,
|
437 |
+
"logps/chosen": -0.6957625150680542,
|
438 |
+
"logps/rejected": -0.89495849609375,
|
439 |
+
"loss": 2.3174,
|
440 |
+
"rewards/accuracies": 0.7250000238418579,
|
441 |
+
"rewards/chosen": -6.957624912261963,
|
442 |
+
"rewards/margins": 1.991959810256958,
|
443 |
+
"rewards/rejected": -8.9495849609375,
|
444 |
+
"step": 145
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.32064128256513025,
|
448 |
+
"grad_norm": 73.56126608282666,
|
449 |
+
"learning_rate": 8.588027776804058e-07,
|
450 |
+
"logits/chosen": -1.0221322774887085,
|
451 |
+
"logits/rejected": -0.9965847134590149,
|
452 |
+
"logps/chosen": -0.7128551006317139,
|
453 |
+
"logps/rejected": -0.896537184715271,
|
454 |
+
"loss": 2.3663,
|
455 |
+
"rewards/accuracies": 0.762499988079071,
|
456 |
+
"rewards/chosen": -7.128551483154297,
|
457 |
+
"rewards/margins": 1.8368213176727295,
|
458 |
+
"rewards/rejected": -8.965372085571289,
|
459 |
+
"step": 150
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.33132932531730125,
|
463 |
+
"grad_norm": 81.6804828395219,
|
464 |
+
"learning_rate": 8.455313244934324e-07,
|
465 |
+
"logits/chosen": -1.016101598739624,
|
466 |
+
"logits/rejected": -0.9916119575500488,
|
467 |
+
"logps/chosen": -0.7570836544036865,
|
468 |
+
"logps/rejected": -1.0055702924728394,
|
469 |
+
"loss": 2.1714,
|
470 |
+
"rewards/accuracies": 0.7124999761581421,
|
471 |
+
"rewards/chosen": -7.570836544036865,
|
472 |
+
"rewards/margins": 2.4848668575286865,
|
473 |
+
"rewards/rejected": -10.055703163146973,
|
474 |
+
"step": 155
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.3420173680694723,
|
478 |
+
"grad_norm": 99.4901399654396,
|
479 |
+
"learning_rate": 8.317766145051057e-07,
|
480 |
+
"logits/chosen": -1.0358034372329712,
|
481 |
+
"logits/rejected": -1.015195608139038,
|
482 |
+
"logps/chosen": -0.8496212959289551,
|
483 |
+
"logps/rejected": -1.2102388143539429,
|
484 |
+
"loss": 2.1439,
|
485 |
+
"rewards/accuracies": 0.75,
|
486 |
+
"rewards/chosen": -8.49621295928955,
|
487 |
+
"rewards/margins": 3.606174945831299,
|
488 |
+
"rewards/rejected": -12.102388381958008,
|
489 |
+
"step": 160
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.3527054108216433,
|
493 |
+
"grad_norm": 70.81537442159531,
|
494 |
+
"learning_rate": 8.175578849210894e-07,
|
495 |
+
"logits/chosen": -1.025247573852539,
|
496 |
+
"logits/rejected": -0.9949723482131958,
|
497 |
+
"logps/chosen": -0.9383013844490051,
|
498 |
+
"logps/rejected": -1.2926217317581177,
|
499 |
+
"loss": 2.1748,
|
500 |
+
"rewards/accuracies": 0.731249988079071,
|
501 |
+
"rewards/chosen": -9.383014678955078,
|
502 |
+
"rewards/margins": 3.5432026386260986,
|
503 |
+
"rewards/rejected": -12.926218032836914,
|
504 |
+
"step": 165
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 0.3633934535738143,
|
508 |
+
"grad_norm": 87.64514196797495,
|
509 |
+
"learning_rate": 8.028950219204099e-07,
|
510 |
+
"logits/chosen": -1.0285688638687134,
|
511 |
+
"logits/rejected": -1.003366470336914,
|
512 |
+
"logps/chosen": -0.8483174443244934,
|
513 |
+
"logps/rejected": -1.227891445159912,
|
514 |
+
"loss": 1.9588,
|
515 |
+
"rewards/accuracies": 0.793749988079071,
|
516 |
+
"rewards/chosen": -8.483174324035645,
|
517 |
+
"rewards/margins": 3.7957394123077393,
|
518 |
+
"rewards/rejected": -12.278913497924805,
|
519 |
+
"step": 170
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.3740814963259853,
|
523 |
+
"grad_norm": 112.86629209538306,
|
524 |
+
"learning_rate": 7.878085328428368e-07,
|
525 |
+
"logits/chosen": -1.0398296117782593,
|
526 |
+
"logits/rejected": -0.9856590032577515,
|
527 |
+
"logps/chosen": -0.975140392780304,
|
528 |
+
"logps/rejected": -1.1828876733779907,
|
529 |
+
"loss": 1.8418,
|
530 |
+
"rewards/accuracies": 0.762499988079071,
|
531 |
+
"rewards/chosen": -9.75140380859375,
|
532 |
+
"rewards/margins": 2.07747220993042,
|
533 |
+
"rewards/rejected": -11.828875541687012,
|
534 |
+
"step": 175
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.3847695390781563,
|
538 |
+
"grad_norm": 78.96808907768161,
|
539 |
+
"learning_rate": 7.723195175075135e-07,
|
540 |
+
"logits/chosen": -0.9896231889724731,
|
541 |
+
"logits/rejected": -0.9649994969367981,
|
542 |
+
"logps/chosen": -0.9527977108955383,
|
543 |
+
"logps/rejected": -1.2905272245407104,
|
544 |
+
"loss": 1.8762,
|
545 |
+
"rewards/accuracies": 0.768750011920929,
|
546 |
+
"rewards/chosen": -9.527976036071777,
|
547 |
+
"rewards/margins": 3.377295732498169,
|
548 |
+
"rewards/rejected": -12.9052734375,
|
549 |
+
"step": 180
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.3954575818303273,
|
553 |
+
"grad_norm": 108.85803981934055,
|
554 |
+
"learning_rate": 7.564496387029531e-07,
|
555 |
+
"logits/chosen": -1.0348621606826782,
|
556 |
+
"logits/rejected": -0.9732630848884583,
|
557 |
+
"logps/chosen": -1.0269982814788818,
|
558 |
+
"logps/rejected": -1.4066517353057861,
|
559 |
+
"loss": 1.7941,
|
560 |
+
"rewards/accuracies": 0.8125,
|
561 |
+
"rewards/chosen": -10.269983291625977,
|
562 |
+
"rewards/margins": 3.7965340614318848,
|
563 |
+
"rewards/rejected": -14.06651782989502,
|
564 |
+
"step": 185
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 0.4061456245824983,
|
568 |
+
"grad_norm": 88.17963395634109,
|
569 |
+
"learning_rate": 7.402210918896689e-07,
|
570 |
+
"logits/chosen": -1.0109108686447144,
|
571 |
+
"logits/rejected": -1.016540765762329,
|
572 |
+
"logps/chosen": -1.1914116144180298,
|
573 |
+
"logps/rejected": -1.6932926177978516,
|
574 |
+
"loss": 1.7838,
|
575 |
+
"rewards/accuracies": 0.800000011920929,
|
576 |
+
"rewards/chosen": -11.914116859436035,
|
577 |
+
"rewards/margins": 5.018809795379639,
|
578 |
+
"rewards/rejected": -16.932926177978516,
|
579 |
+
"step": 190
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.4168336673346693,
|
583 |
+
"grad_norm": 93.26710505616924,
|
584 |
+
"learning_rate": 7.236565741578162e-07,
|
585 |
+
"logits/chosen": -0.9588305354118347,
|
586 |
+
"logits/rejected": -0.9351094961166382,
|
587 |
+
"logps/chosen": -1.1738094091415405,
|
588 |
+
"logps/rejected": -1.507836103439331,
|
589 |
+
"loss": 1.7312,
|
590 |
+
"rewards/accuracies": 0.78125,
|
591 |
+
"rewards/chosen": -11.738093376159668,
|
592 |
+
"rewards/margins": 3.340266704559326,
|
593 |
+
"rewards/rejected": -15.078363418579102,
|
594 |
+
"step": 195
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 0.42752171008684037,
|
598 |
+
"grad_norm": 148.12833430588864,
|
599 |
+
"learning_rate": 7.067792524832603e-07,
|
600 |
+
"logits/chosen": -0.962164044380188,
|
601 |
+
"logits/rejected": -0.946324348449707,
|
602 |
+
"logps/chosen": -1.190048098564148,
|
603 |
+
"logps/rejected": -1.5737119913101196,
|
604 |
+
"loss": 1.8488,
|
605 |
+
"rewards/accuracies": 0.737500011920929,
|
606 |
+
"rewards/chosen": -11.900480270385742,
|
607 |
+
"rewards/margins": 3.8366382122039795,
|
608 |
+
"rewards/rejected": -15.737119674682617,
|
609 |
+
"step": 200
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 0.43820975283901137,
|
613 |
+
"grad_norm": 88.33539547998033,
|
614 |
+
"learning_rate": 6.896127313264642e-07,
|
615 |
+
"logits/chosen": -0.9857925176620483,
|
616 |
+
"logits/rejected": -0.9326913952827454,
|
617 |
+
"logps/chosen": -1.2696114778518677,
|
618 |
+
"logps/rejected": -1.6608413457870483,
|
619 |
+
"loss": 1.844,
|
620 |
+
"rewards/accuracies": 0.793749988079071,
|
621 |
+
"rewards/chosen": -12.696113586425781,
|
622 |
+
"rewards/margins": 3.9123005867004395,
|
623 |
+
"rewards/rejected": -16.608415603637695,
|
624 |
+
"step": 205
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 0.44889779559118237,
|
628 |
+
"grad_norm": 96.6188335214616,
|
629 |
+
"learning_rate": 6.721810196195174e-07,
|
630 |
+
"logits/chosen": -1.0050965547561646,
|
631 |
+
"logits/rejected": -0.9934624433517456,
|
632 |
+
"logps/chosen": -1.2922513484954834,
|
633 |
+
"logps/rejected": -1.710461974143982,
|
634 |
+
"loss": 1.6898,
|
635 |
+
"rewards/accuracies": 0.84375,
|
636 |
+
"rewards/chosen": -12.922513961791992,
|
637 |
+
"rewards/margins": 4.182106018066406,
|
638 |
+
"rewards/rejected": -17.10462188720703,
|
639 |
+
"step": 210
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.45958583834335337,
|
643 |
+
"grad_norm": 96.68880124766956,
|
644 |
+
"learning_rate": 6.545084971874736e-07,
|
645 |
+
"logits/chosen": -0.9563829302787781,
|
646 |
+
"logits/rejected": -0.9366313815116882,
|
647 |
+
"logps/chosen": -1.364743947982788,
|
648 |
+
"logps/rejected": -1.8573719263076782,
|
649 |
+
"loss": 1.5133,
|
650 |
+
"rewards/accuracies": 0.8062499761581421,
|
651 |
+
"rewards/chosen": -13.647438049316406,
|
652 |
+
"rewards/margins": 4.926279067993164,
|
653 |
+
"rewards/rejected": -18.573719024658203,
|
654 |
+
"step": 215
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.47027388109552437,
|
658 |
+
"grad_norm": 150.34366732566772,
|
659 |
+
"learning_rate": 6.3661988065096e-07,
|
660 |
+
"logits/chosen": -1.0227452516555786,
|
661 |
+
"logits/rejected": -1.0000264644622803,
|
662 |
+
"logps/chosen": -1.4215940237045288,
|
663 |
+
"logps/rejected": -1.926209807395935,
|
664 |
+
"loss": 1.6503,
|
665 |
+
"rewards/accuracies": 0.768750011920929,
|
666 |
+
"rewards/chosen": -14.21593952178955,
|
667 |
+
"rewards/margins": 5.0461578369140625,
|
668 |
+
"rewards/rejected": -19.262096405029297,
|
669 |
+
"step": 220
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.48096192384769537,
|
673 |
+
"grad_norm": 118.50430730198147,
|
674 |
+
"learning_rate": 6.185401888577487e-07,
|
675 |
+
"logits/chosen": -0.9958481788635254,
|
676 |
+
"logits/rejected": -0.9570272564888,
|
677 |
+
"logps/chosen": -1.4551509618759155,
|
678 |
+
"logps/rejected": -1.8940250873565674,
|
679 |
+
"loss": 1.4789,
|
680 |
+
"rewards/accuracies": 0.731249988079071,
|
681 |
+
"rewards/chosen": -14.551508903503418,
|
682 |
+
"rewards/margins": 4.388740062713623,
|
683 |
+
"rewards/rejected": -18.940250396728516,
|
684 |
+
"step": 225
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 0.4916499665998664,
|
688 |
+
"grad_norm": 97.94256873991337,
|
689 |
+
"learning_rate": 6.002947078916364e-07,
|
690 |
+
"logits/chosen": -1.0675132274627686,
|
691 |
+
"logits/rejected": -1.012401819229126,
|
692 |
+
"logps/chosen": -1.4190456867218018,
|
693 |
+
"logps/rejected": -1.884321928024292,
|
694 |
+
"loss": 1.5692,
|
695 |
+
"rewards/accuracies": 0.7437499761581421,
|
696 |
+
"rewards/chosen": -14.190455436706543,
|
697 |
+
"rewards/margins": 4.652764320373535,
|
698 |
+
"rewards/rejected": -18.843217849731445,
|
699 |
+
"step": 230
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.5023380093520374,
|
703 |
+
"grad_norm": 97.69525089331223,
|
704 |
+
"learning_rate": 5.819089557075688e-07,
|
705 |
+
"logits/chosen": -1.0891209840774536,
|
706 |
+
"logits/rejected": -1.0585644245147705,
|
707 |
+
"logps/chosen": -1.4393976926803589,
|
708 |
+
"logps/rejected": -1.9622634649276733,
|
709 |
+
"loss": 1.625,
|
710 |
+
"rewards/accuracies": 0.7562500238418579,
|
711 |
+
"rewards/chosen": -14.393977165222168,
|
712 |
+
"rewards/margins": 5.228659152984619,
|
713 |
+
"rewards/rejected": -19.622636795043945,
|
714 |
+
"step": 235
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 0.5130260521042084,
|
718 |
+
"grad_norm": 75.47943033357323,
|
719 |
+
"learning_rate": 5.634086464424742e-07,
|
720 |
+
"logits/chosen": -1.0535987615585327,
|
721 |
+
"logits/rejected": -1.051977276802063,
|
722 |
+
"logps/chosen": -1.3285123109817505,
|
723 |
+
"logps/rejected": -1.7905857563018799,
|
724 |
+
"loss": 1.559,
|
725 |
+
"rewards/accuracies": 0.793749988079071,
|
726 |
+
"rewards/chosen": -13.285120964050293,
|
727 |
+
"rewards/margins": 4.620734691619873,
|
728 |
+
"rewards/rejected": -17.90585708618164,
|
729 |
+
"step": 240
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.5237140948563794,
|
733 |
+
"grad_norm": 100.04007765445822,
|
734 |
+
"learning_rate": 5.448196544517167e-07,
|
735 |
+
"logits/chosen": -1.1635222434997559,
|
736 |
+
"logits/rejected": -1.0964869260787964,
|
737 |
+
"logps/chosen": -1.320629358291626,
|
738 |
+
"logps/rejected": -1.8691266775131226,
|
739 |
+
"loss": 1.4185,
|
740 |
+
"rewards/accuracies": 0.831250011920929,
|
741 |
+
"rewards/chosen": -13.206293106079102,
|
742 |
+
"rewards/margins": 5.484975337982178,
|
743 |
+
"rewards/rejected": -18.691268920898438,
|
744 |
+
"step": 245
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.5344021376085505,
|
748 |
+
"grad_norm": 90.6563420202814,
|
749 |
+
"learning_rate": 5.26167978121472e-07,
|
750 |
+
"logits/chosen": -1.084279179573059,
|
751 |
+
"logits/rejected": -1.0659908056259155,
|
752 |
+
"logps/chosen": -1.389957308769226,
|
753 |
+
"logps/rejected": -1.9566434621810913,
|
754 |
+
"loss": 1.481,
|
755 |
+
"rewards/accuracies": 0.8500000238418579,
|
756 |
+
"rewards/chosen": -13.899574279785156,
|
757 |
+
"rewards/margins": 5.666860580444336,
|
758 |
+
"rewards/rejected": -19.56643295288086,
|
759 |
+
"step": 250
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 0.5450901803607214,
|
763 |
+
"grad_norm": 182.74327675067556,
|
764 |
+
"learning_rate": 5.074797035076318e-07,
|
765 |
+
"logits/chosen": -1.1342357397079468,
|
766 |
+
"logits/rejected": -1.1009563207626343,
|
767 |
+
"logps/chosen": -1.4785124063491821,
|
768 |
+
"logps/rejected": -1.9460515975952148,
|
769 |
+
"loss": 1.5455,
|
770 |
+
"rewards/accuracies": 0.8187500238418579,
|
771 |
+
"rewards/chosen": -14.785125732421875,
|
772 |
+
"rewards/margins": 4.67539119720459,
|
773 |
+
"rewards/rejected": -19.460514068603516,
|
774 |
+
"step": 255
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 0.5557782231128925,
|
778 |
+
"grad_norm": 107.72294875535913,
|
779 |
+
"learning_rate": 4.887809678520975e-07,
|
780 |
+
"logits/chosen": -1.0977184772491455,
|
781 |
+
"logits/rejected": -1.0647294521331787,
|
782 |
+
"logps/chosen": -1.377906322479248,
|
783 |
+
"logps/rejected": -1.8358585834503174,
|
784 |
+
"loss": 1.4211,
|
785 |
+
"rewards/accuracies": 0.8187500238418579,
|
786 |
+
"rewards/chosen": -13.779062271118164,
|
787 |
+
"rewards/margins": 4.579524040222168,
|
788 |
+
"rewards/rejected": -18.358585357666016,
|
789 |
+
"step": 260
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 0.5664662658650634,
|
793 |
+
"grad_norm": 75.63967900485645,
|
794 |
+
"learning_rate": 4.700979230274829e-07,
|
795 |
+
"logits/chosen": -1.046972393989563,
|
796 |
+
"logits/rejected": -1.027153730392456,
|
797 |
+
"logps/chosen": -1.4691593647003174,
|
798 |
+
"logps/rejected": -1.9394676685333252,
|
799 |
+
"loss": 1.4695,
|
800 |
+
"rewards/accuracies": 0.800000011920929,
|
801 |
+
"rewards/chosen": -14.6915922164917,
|
802 |
+
"rewards/margins": 4.703083038330078,
|
803 |
+
"rewards/rejected": -19.394678115844727,
|
804 |
+
"step": 265
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 0.5771543086172345,
|
808 |
+
"grad_norm": 193.81178663729204,
|
809 |
+
"learning_rate": 4.514566989613559e-07,
|
810 |
+
"logits/chosen": -1.0509687662124634,
|
811 |
+
"logits/rejected": -1.0184508562088013,
|
812 |
+
"logps/chosen": -1.3223508596420288,
|
813 |
+
"logps/rejected": -1.8159472942352295,
|
814 |
+
"loss": 1.5709,
|
815 |
+
"rewards/accuracies": 0.8187500238418579,
|
816 |
+
"rewards/chosen": -13.22350788116455,
|
817 |
+
"rewards/margins": 4.935965061187744,
|
818 |
+
"rewards/rejected": -18.159473419189453,
|
819 |
+
"step": 270
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 0.5878423513694054,
|
823 |
+
"grad_norm": 93.1736953697589,
|
824 |
+
"learning_rate": 4.328833670911724e-07,
|
825 |
+
"logits/chosen": -1.0397508144378662,
|
826 |
+
"logits/rejected": -0.9964058995246887,
|
827 |
+
"logps/chosen": -1.2974085807800293,
|
828 |
+
"logps/rejected": -1.7082370519638062,
|
829 |
+
"loss": 1.551,
|
830 |
+
"rewards/accuracies": 0.8125,
|
831 |
+
"rewards/chosen": -12.974085807800293,
|
832 |
+
"rewards/margins": 4.108286380767822,
|
833 |
+
"rewards/rejected": -17.08237075805664,
|
834 |
+
"step": 275
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 0.5985303941215765,
|
838 |
+
"grad_norm": 76.2073903395276,
|
839 |
+
"learning_rate": 4.144039039010124e-07,
|
840 |
+
"logits/chosen": -1.1180676221847534,
|
841 |
+
"logits/rejected": -1.09043550491333,
|
842 |
+
"logps/chosen": -1.346557378768921,
|
843 |
+
"logps/rejected": -1.8500111103057861,
|
844 |
+
"loss": 1.4682,
|
845 |
+
"rewards/accuracies": 0.824999988079071,
|
846 |
+
"rewards/chosen": -13.46557331085205,
|
847 |
+
"rewards/margins": 5.034535884857178,
|
848 |
+
"rewards/rejected": -18.500110626220703,
|
849 |
+
"step": 280
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.6092184368737475,
|
853 |
+
"grad_norm": 94.07989298570106,
|
854 |
+
"learning_rate": 3.960441545911204e-07,
|
855 |
+
"logits/chosen": -1.0859159231185913,
|
856 |
+
"logits/rejected": -1.0468647480010986,
|
857 |
+
"logps/chosen": -1.399982213973999,
|
858 |
+
"logps/rejected": -1.926845908164978,
|
859 |
+
"loss": 1.2667,
|
860 |
+
"rewards/accuracies": 0.875,
|
861 |
+
"rewards/chosen": -13.999821662902832,
|
862 |
+
"rewards/margins": 5.268637657165527,
|
863 |
+
"rewards/rejected": -19.26845932006836,
|
864 |
+
"step": 285
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 0.6199064796259185,
|
868 |
+
"grad_norm": 89.07279022649925,
|
869 |
+
"learning_rate": 3.778297969310529e-07,
|
870 |
+
"logits/chosen": -1.110459327697754,
|
871 |
+
"logits/rejected": -1.0649018287658691,
|
872 |
+
"logps/chosen": -1.3886842727661133,
|
873 |
+
"logps/rejected": -1.8522567749023438,
|
874 |
+
"loss": 1.5307,
|
875 |
+
"rewards/accuracies": 0.800000011920929,
|
876 |
+
"rewards/chosen": -13.886842727661133,
|
877 |
+
"rewards/margins": 4.635725975036621,
|
878 |
+
"rewards/rejected": -18.522567749023438,
|
879 |
+
"step": 290
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 0.6305945223780896,
|
883 |
+
"grad_norm": 104.92194222567683,
|
884 |
+
"learning_rate": 3.5978630534699865e-07,
|
885 |
+
"logits/chosen": -1.0469499826431274,
|
886 |
+
"logits/rejected": -1.0278840065002441,
|
887 |
+
"logps/chosen": -1.4743906259536743,
|
888 |
+
"logps/rejected": -1.9389221668243408,
|
889 |
+
"loss": 1.3919,
|
890 |
+
"rewards/accuracies": 0.8062499761581421,
|
891 |
+
"rewards/chosen": -14.743906021118164,
|
892 |
+
"rewards/margins": 4.645317077636719,
|
893 |
+
"rewards/rejected": -19.38922119140625,
|
894 |
+
"step": 295
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 0.6412825651302605,
|
898 |
+
"grad_norm": 115.157031251591,
|
899 |
+
"learning_rate": 3.4193891529348795e-07,
|
900 |
+
"logits/chosen": -0.9734314680099487,
|
901 |
+
"logits/rejected": -0.9448921084403992,
|
902 |
+
"logps/chosen": -1.4543259143829346,
|
903 |
+
"logps/rejected": -1.8318170309066772,
|
904 |
+
"loss": 1.7971,
|
905 |
+
"rewards/accuracies": 0.737500011920929,
|
906 |
+
"rewards/chosen": -14.543258666992188,
|
907 |
+
"rewards/margins": 3.7749099731445312,
|
908 |
+
"rewards/rejected": -18.31817054748535,
|
909 |
+
"step": 300
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 0.6519706078824316,
|
913 |
+
"grad_norm": 87.78878822591881,
|
914 |
+
"learning_rate": 3.243125879593286e-07,
|
915 |
+
"logits/chosen": -1.0921169519424438,
|
916 |
+
"logits/rejected": -1.041258692741394,
|
917 |
+
"logps/chosen": -1.3990426063537598,
|
918 |
+
"logps/rejected": -1.7868198156356812,
|
919 |
+
"loss": 1.4931,
|
920 |
+
"rewards/accuracies": 0.768750011920929,
|
921 |
+
"rewards/chosen": -13.990427017211914,
|
922 |
+
"rewards/margins": 3.877769947052002,
|
923 |
+
"rewards/rejected": -17.86819839477539,
|
924 |
+
"step": 305
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 0.6626586506346025,
|
928 |
+
"grad_norm": 105.06509533230586,
|
929 |
+
"learning_rate": 3.069319753571269e-07,
|
930 |
+
"logits/chosen": -1.1367733478546143,
|
931 |
+
"logits/rejected": -1.1123126745224,
|
932 |
+
"logps/chosen": -1.4809437990188599,
|
933 |
+
"logps/rejected": -1.9527852535247803,
|
934 |
+
"loss": 1.6001,
|
935 |
+
"rewards/accuracies": 0.8062499761581421,
|
936 |
+
"rewards/chosen": -14.80943775177002,
|
937 |
+
"rewards/margins": 4.718415260314941,
|
938 |
+
"rewards/rejected": -19.52785301208496,
|
939 |
+
"step": 310
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 0.6733466933867736,
|
943 |
+
"grad_norm": 100.34303754111261,
|
944 |
+
"learning_rate": 2.898213858452173e-07,
|
945 |
+
"logits/chosen": -1.1173804998397827,
|
946 |
+
"logits/rejected": -1.0558984279632568,
|
947 |
+
"logps/chosen": -1.3943215608596802,
|
948 |
+
"logps/rejected": -1.851544976234436,
|
949 |
+
"loss": 1.4087,
|
950 |
+
"rewards/accuracies": 0.8374999761581421,
|
951 |
+
"rewards/chosen": -13.943216323852539,
|
952 |
+
"rewards/margins": 4.572234153747559,
|
953 |
+
"rewards/rejected": -18.51544761657715,
|
954 |
+
"step": 315
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.6840347361389446,
|
958 |
+
"grad_norm": 113.86543674722715,
|
959 |
+
"learning_rate": 2.730047501302266e-07,
|
960 |
+
"logits/chosen": -1.0984666347503662,
|
961 |
+
"logits/rejected": -1.0932129621505737,
|
962 |
+
"logps/chosen": -1.4517738819122314,
|
963 |
+
"logps/rejected": -2.008024215698242,
|
964 |
+
"loss": 1.4795,
|
965 |
+
"rewards/accuracies": 0.856249988079071,
|
966 |
+
"rewards/chosen": -14.517735481262207,
|
967 |
+
"rewards/margins": 5.562503814697266,
|
968 |
+
"rewards/rejected": -20.080242156982422,
|
969 |
+
"step": 320
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.6947227788911156,
|
973 |
+
"grad_norm": 99.61197741979623,
|
974 |
+
"learning_rate": 2.5650558779781635e-07,
|
975 |
+
"logits/chosen": -1.116877794265747,
|
976 |
+
"logits/rejected": -1.0635037422180176,
|
977 |
+
"logps/chosen": -1.6024644374847412,
|
978 |
+
"logps/rejected": -2.2202725410461426,
|
979 |
+
"loss": 1.4448,
|
980 |
+
"rewards/accuracies": 0.84375,
|
981 |
+
"rewards/chosen": -16.02464485168457,
|
982 |
+
"rewards/margins": 6.178084373474121,
|
983 |
+
"rewards/rejected": -22.202730178833008,
|
984 |
+
"step": 325
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 0.7054108216432866,
|
988 |
+
"grad_norm": 77.71480741385236,
|
989 |
+
"learning_rate": 2.403469744184154e-07,
|
990 |
+
"logits/chosen": -1.0377768278121948,
|
991 |
+
"logits/rejected": -0.9935773611068726,
|
992 |
+
"logps/chosen": -1.4898747205734253,
|
993 |
+
"logps/rejected": -1.9272472858428955,
|
994 |
+
"loss": 1.4709,
|
995 |
+
"rewards/accuracies": 0.824999988079071,
|
996 |
+
"rewards/chosen": -14.898748397827148,
|
997 |
+
"rewards/margins": 4.37372350692749,
|
998 |
+
"rewards/rejected": -19.272472381591797,
|
999 |
+
"step": 330
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 0.7160988643954576,
|
1003 |
+
"grad_norm": 89.73568696356142,
|
1004 |
+
"learning_rate": 2.2455150927394878e-07,
|
1005 |
+
"logits/chosen": -1.0675146579742432,
|
1006 |
+
"logits/rejected": -1.0462026596069336,
|
1007 |
+
"logps/chosen": -1.4130958318710327,
|
1008 |
+
"logps/rejected": -1.9325294494628906,
|
1009 |
+
"loss": 1.39,
|
1010 |
+
"rewards/accuracies": 0.8187500238418579,
|
1011 |
+
"rewards/chosen": -14.130956649780273,
|
1012 |
+
"rewards/margins": 5.194336891174316,
|
1013 |
+
"rewards/rejected": -19.32529640197754,
|
1014 |
+
"step": 335
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 0.7267869071476286,
|
1018 |
+
"grad_norm": 110.68879818809171,
|
1019 |
+
"learning_rate": 2.0914128375069722e-07,
|
1020 |
+
"logits/chosen": -1.0806689262390137,
|
1021 |
+
"logits/rejected": -1.042923927307129,
|
1022 |
+
"logps/chosen": -1.4482777118682861,
|
1023 |
+
"logps/rejected": -1.9667714834213257,
|
1024 |
+
"loss": 1.4947,
|
1025 |
+
"rewards/accuracies": 0.8125,
|
1026 |
+
"rewards/chosen": -14.48277759552002,
|
1027 |
+
"rewards/margins": 5.184937000274658,
|
1028 |
+
"rewards/rejected": -19.667715072631836,
|
1029 |
+
"step": 340
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 0.7374749498997996,
|
1033 |
+
"grad_norm": 118.37607191091168,
|
1034 |
+
"learning_rate": 1.9413785044249676e-07,
|
1035 |
+
"logits/chosen": -1.1191717386245728,
|
1036 |
+
"logits/rejected": -1.0921493768692017,
|
1037 |
+
"logps/chosen": -1.5390311479568481,
|
1038 |
+
"logps/rejected": -2.1164662837982178,
|
1039 |
+
"loss": 1.6411,
|
1040 |
+
"rewards/accuracies": 0.856249988079071,
|
1041 |
+
"rewards/chosen": -15.390310287475586,
|
1042 |
+
"rewards/margins": 5.774353981018066,
|
1043 |
+
"rewards/rejected": -21.164663314819336,
|
1044 |
+
"step": 345
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 0.7481629926519706,
|
1048 |
+
"grad_norm": 177.61167476414326,
|
1049 |
+
"learning_rate": 1.7956219300748792e-07,
|
1050 |
+
"logits/chosen": -1.1068302392959595,
|
1051 |
+
"logits/rejected": -1.1092784404754639,
|
1052 |
+
"logps/chosen": -1.4487911462783813,
|
1053 |
+
"logps/rejected": -1.9363235235214233,
|
1054 |
+
"loss": 1.5257,
|
1055 |
+
"rewards/accuracies": 0.831250011920929,
|
1056 |
+
"rewards/chosen": -14.487910270690918,
|
1057 |
+
"rewards/margins": 4.875324726104736,
|
1058 |
+
"rewards/rejected": -19.363237380981445,
|
1059 |
+
"step": 350
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.7588510354041417,
|
1063 |
+
"grad_norm": 93.0216947858328,
|
1064 |
+
"learning_rate": 1.6543469682057104e-07,
|
1065 |
+
"logits/chosen": -1.0323774814605713,
|
1066 |
+
"logits/rejected": -1.0446354150772095,
|
1067 |
+
"logps/chosen": -1.3830714225769043,
|
1068 |
+
"logps/rejected": -1.8855358362197876,
|
1069 |
+
"loss": 1.352,
|
1070 |
+
"rewards/accuracies": 0.856249988079071,
|
1071 |
+
"rewards/chosen": -13.830714225769043,
|
1072 |
+
"rewards/margins": 5.02464485168457,
|
1073 |
+
"rewards/rejected": -18.855358123779297,
|
1074 |
+
"step": 355
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 0.7695390781563126,
|
1078 |
+
"grad_norm": 94.72973814318713,
|
1079 |
+
"learning_rate": 1.5177512046261666e-07,
|
1080 |
+
"logits/chosen": -1.0865602493286133,
|
1081 |
+
"logits/rejected": -1.0826921463012695,
|
1082 |
+
"logps/chosen": -1.4152530431747437,
|
1083 |
+
"logps/rejected": -2.0346670150756836,
|
1084 |
+
"loss": 1.4234,
|
1085 |
+
"rewards/accuracies": 0.831250011920929,
|
1086 |
+
"rewards/chosen": -14.1525297164917,
|
1087 |
+
"rewards/margins": 6.1941399574279785,
|
1088 |
+
"rewards/rejected": -20.346668243408203,
|
1089 |
+
"step": 360
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 0.7802271209084837,
|
1093 |
+
"grad_norm": 68.4731130261061,
|
1094 |
+
"learning_rate": 1.3860256808630427e-07,
|
1095 |
+
"logits/chosen": -1.135087490081787,
|
1096 |
+
"logits/rejected": -1.059451937675476,
|
1097 |
+
"logps/chosen": -1.4586212635040283,
|
1098 |
+
"logps/rejected": -2.061830997467041,
|
1099 |
+
"loss": 1.4973,
|
1100 |
+
"rewards/accuracies": 0.824999988079071,
|
1101 |
+
"rewards/chosen": -14.586212158203125,
|
1102 |
+
"rewards/margins": 6.0320963859558105,
|
1103 |
+
"rewards/rejected": -20.618310928344727,
|
1104 |
+
"step": 365
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 0.7909151636606546,
|
1108 |
+
"grad_norm": 121.84202884529543,
|
1109 |
+
"learning_rate": 1.2593546269723647e-07,
|
1110 |
+
"logits/chosen": -1.0569720268249512,
|
1111 |
+
"logits/rejected": -1.040205717086792,
|
1112 |
+
"logps/chosen": -1.4913088083267212,
|
1113 |
+
"logps/rejected": -1.9543384313583374,
|
1114 |
+
"loss": 1.5364,
|
1115 |
+
"rewards/accuracies": 0.84375,
|
1116 |
+
"rewards/chosen": -14.913087844848633,
|
1117 |
+
"rewards/margins": 4.630299091339111,
|
1118 |
+
"rewards/rejected": -19.543384552001953,
|
1119 |
+
"step": 370
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 0.8016032064128257,
|
1123 |
+
"grad_norm": 132.37754504186287,
|
1124 |
+
"learning_rate": 1.1379152038770029e-07,
|
1125 |
+
"logits/chosen": -1.0853582620620728,
|
1126 |
+
"logits/rejected": -1.0880931615829468,
|
1127 |
+
"logps/chosen": -1.561675786972046,
|
1128 |
+
"logps/rejected": -2.0865683555603027,
|
1129 |
+
"loss": 1.4922,
|
1130 |
+
"rewards/accuracies": 0.8187500238418579,
|
1131 |
+
"rewards/chosen": -15.6167573928833,
|
1132 |
+
"rewards/margins": 5.24892520904541,
|
1133 |
+
"rewards/rejected": -20.86568260192871,
|
1134 |
+
"step": 375
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 0.8122912491649966,
|
1138 |
+
"grad_norm": 146.30353813707708,
|
1139 |
+
"learning_rate": 1.0218772555910954e-07,
|
1140 |
+
"logits/chosen": -1.1082967519760132,
|
1141 |
+
"logits/rejected": -1.084113359451294,
|
1142 |
+
"logps/chosen": -1.449220895767212,
|
1143 |
+
"logps/rejected": -1.9152443408966064,
|
1144 |
+
"loss": 1.6124,
|
1145 |
+
"rewards/accuracies": 0.831250011920929,
|
1146 |
+
"rewards/chosen": -14.492208480834961,
|
1147 |
+
"rewards/margins": 4.660233974456787,
|
1148 |
+
"rewards/rejected": -19.15244483947754,
|
1149 |
+
"step": 380
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 0.8229792919171677,
|
1153 |
+
"grad_norm": 77.25479077025736,
|
1154 |
+
"learning_rate": 9.114030716778432e-08,
|
1155 |
+
"logits/chosen": -1.0906922817230225,
|
1156 |
+
"logits/rejected": -1.0660183429718018,
|
1157 |
+
"logps/chosen": -1.457859992980957,
|
1158 |
+
"logps/rejected": -2.104210138320923,
|
1159 |
+
"loss": 1.2879,
|
1160 |
+
"rewards/accuracies": 0.856249988079071,
|
1161 |
+
"rewards/chosen": -14.578600883483887,
|
1162 |
+
"rewards/margins": 6.4635009765625,
|
1163 |
+
"rewards/rejected": -21.042102813720703,
|
1164 |
+
"step": 385
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.8336673346693386,
|
1168 |
+
"grad_norm": 93.07916389497416,
|
1169 |
+
"learning_rate": 8.066471602728803e-08,
|
1170 |
+
"logits/chosen": -1.1058779954910278,
|
1171 |
+
"logits/rejected": -1.0853393077850342,
|
1172 |
+
"logps/chosen": -1.526141881942749,
|
1173 |
+
"logps/rejected": -2.099813461303711,
|
1174 |
+
"loss": 1.3994,
|
1175 |
+
"rewards/accuracies": 0.8125,
|
1176 |
+
"rewards/chosen": -15.261419296264648,
|
1177 |
+
"rewards/margins": 5.736716270446777,
|
1178 |
+
"rewards/rejected": -20.99813461303711,
|
1179 |
+
"step": 390
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.8443553774215097,
|
1183 |
+
"grad_norm": 101.69355206701071,
|
1184 |
+
"learning_rate": 7.077560319906694e-08,
|
1185 |
+
"logits/chosen": -1.1104137897491455,
|
1186 |
+
"logits/rejected": -1.0867125988006592,
|
1187 |
+
"logps/chosen": -1.461976408958435,
|
1188 |
+
"logps/rejected": -2.0008349418640137,
|
1189 |
+
"loss": 1.5022,
|
1190 |
+
"rewards/accuracies": 0.8187500238418579,
|
1191 |
+
"rewards/chosen": -14.61976432800293,
|
1192 |
+
"rewards/margins": 5.388585090637207,
|
1193 |
+
"rewards/rejected": -20.008350372314453,
|
1194 |
+
"step": 395
|
1195 |
+
},
|
1196 |
+
{
|
1197 |
+
"epoch": 0.8550434201736807,
|
1198 |
+
"grad_norm": 78.27794611977339,
|
1199 |
+
"learning_rate": 6.148679950161672e-08,
|
1200 |
+
"logits/chosen": -1.1054575443267822,
|
1201 |
+
"logits/rejected": -1.086721658706665,
|
1202 |
+
"logps/chosen": -1.4834736585617065,
|
1203 |
+
"logps/rejected": -1.9632450342178345,
|
1204 |
+
"loss": 1.353,
|
1205 |
+
"rewards/accuracies": 0.800000011920929,
|
1206 |
+
"rewards/chosen": -14.834736824035645,
|
1207 |
+
"rewards/margins": 4.797713756561279,
|
1208 |
+
"rewards/rejected": -19.6324520111084,
|
1209 |
+
"step": 400
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 0.8550434201736807,
|
1213 |
+
"eval_logits/chosen": -1.3153965473175049,
|
1214 |
+
"eval_logits/rejected": -1.323797345161438,
|
1215 |
+
"eval_logps/chosen": -1.4682824611663818,
|
1216 |
+
"eval_logps/rejected": -1.983279824256897,
|
1217 |
+
"eval_loss": 1.3837593793869019,
|
1218 |
+
"eval_rewards/accuracies": 0.8231707215309143,
|
1219 |
+
"eval_rewards/chosen": -14.68282413482666,
|
1220 |
+
"eval_rewards/margins": 5.149974822998047,
|
1221 |
+
"eval_rewards/rejected": -19.83279800415039,
|
1222 |
+
"eval_runtime": 89.1693,
|
1223 |
+
"eval_samples_per_second": 21.992,
|
1224 |
+
"eval_steps_per_second": 1.379,
|
1225 |
+
"step": 400
|
1226 |
+
},
|
1227 |
+
{
|
1228 |
+
"epoch": 0.8657314629258517,
|
1229 |
+
"grad_norm": 123.22959345953065,
|
1230 |
+
"learning_rate": 5.2811296166831666e-08,
|
1231 |
+
"logits/chosen": -1.072684645652771,
|
1232 |
+
"logits/rejected": -1.0882729291915894,
|
1233 |
+
"logps/chosen": -1.541043996810913,
|
1234 |
+
"logps/rejected": -1.9995849132537842,
|
1235 |
+
"loss": 1.3185,
|
1236 |
+
"rewards/accuracies": 0.8687499761581421,
|
1237 |
+
"rewards/chosen": -15.410443305969238,
|
1238 |
+
"rewards/margins": 4.585409641265869,
|
1239 |
+
"rewards/rejected": -19.995851516723633,
|
1240 |
+
"step": 405
|
1241 |
+
},
|
1242 |
+
{
|
1243 |
+
"epoch": 0.8764195056780227,
|
1244 |
+
"grad_norm": 147.91474233820844,
|
1245 |
+
"learning_rate": 4.4761226670592066e-08,
|
1246 |
+
"logits/chosen": -1.0857017040252686,
|
1247 |
+
"logits/rejected": -1.0723140239715576,
|
1248 |
+
"logps/chosen": -1.4827214479446411,
|
1249 |
+
"logps/rejected": -1.9837812185287476,
|
1250 |
+
"loss": 1.4599,
|
1251 |
+
"rewards/accuracies": 0.8187500238418579,
|
1252 |
+
"rewards/chosen": -14.827215194702148,
|
1253 |
+
"rewards/margins": 5.010597229003906,
|
1254 |
+
"rewards/rejected": -19.837810516357422,
|
1255 |
+
"step": 410
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.8871075484301937,
|
1259 |
+
"grad_norm": 91.16953725496764,
|
1260 |
+
"learning_rate": 3.734784976300165e-08,
|
1261 |
+
"logits/chosen": -1.08389413356781,
|
1262 |
+
"logits/rejected": -1.025193691253662,
|
1263 |
+
"logps/chosen": -1.436957597732544,
|
1264 |
+
"logps/rejected": -2.0282580852508545,
|
1265 |
+
"loss": 1.5869,
|
1266 |
+
"rewards/accuracies": 0.8374999761581421,
|
1267 |
+
"rewards/chosen": -14.369573593139648,
|
1268 |
+
"rewards/margins": 5.913008213043213,
|
1269 |
+
"rewards/rejected": -20.282581329345703,
|
1270 |
+
"step": 415
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"epoch": 0.8977955911823647,
|
1274 |
+
"grad_norm": 107.28232680425738,
|
1275 |
+
"learning_rate": 3.058153372200695e-08,
|
1276 |
+
"logits/chosen": -1.1248770952224731,
|
1277 |
+
"logits/rejected": -1.0667715072631836,
|
1278 |
+
"logps/chosen": -1.3739981651306152,
|
1279 |
+
"logps/rejected": -1.912716269493103,
|
1280 |
+
"loss": 1.4124,
|
1281 |
+
"rewards/accuracies": 0.8500000238418579,
|
1282 |
+
"rewards/chosen": -13.739982604980469,
|
1283 |
+
"rewards/margins": 5.387181282043457,
|
1284 |
+
"rewards/rejected": -19.12716293334961,
|
1285 |
+
"step": 420
|
1286 |
+
},
|
1287 |
+
{
|
1288 |
+
"epoch": 0.9084836339345357,
|
1289 |
+
"grad_norm": 120.49009743628018,
|
1290 |
+
"learning_rate": 2.4471741852423233e-08,
|
1291 |
+
"logits/chosen": -1.1182382106781006,
|
1292 |
+
"logits/rejected": -1.1063783168792725,
|
1293 |
+
"logps/chosen": -1.5358679294586182,
|
1294 |
+
"logps/rejected": -1.9908769130706787,
|
1295 |
+
"loss": 1.6669,
|
1296 |
+
"rewards/accuracies": 0.824999988079071,
|
1297 |
+
"rewards/chosen": -15.358678817749023,
|
1298 |
+
"rewards/margins": 4.5500898361206055,
|
1299 |
+
"rewards/rejected": -19.908771514892578,
|
1300 |
+
"step": 425
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 0.9191716766867067,
|
1304 |
+
"grad_norm": 121.92864479159549,
|
1305 |
+
"learning_rate": 1.9027019250647036e-08,
|
1306 |
+
"logits/chosen": -1.0952109098434448,
|
1307 |
+
"logits/rejected": -1.0773556232452393,
|
1308 |
+
"logps/chosen": -1.5638394355773926,
|
1309 |
+
"logps/rejected": -2.070910930633545,
|
1310 |
+
"loss": 1.4596,
|
1311 |
+
"rewards/accuracies": 0.824999988079071,
|
1312 |
+
"rewards/chosen": -15.638395309448242,
|
1313 |
+
"rewards/margins": 5.070715427398682,
|
1314 |
+
"rewards/rejected": -20.709110260009766,
|
1315 |
+
"step": 430
|
1316 |
+
},
|
1317 |
+
{
|
1318 |
+
"epoch": 0.9298597194388778,
|
1319 |
+
"grad_norm": 105.14729635844223,
|
1320 |
+
"learning_rate": 1.4254980853566246e-08,
|
1321 |
+
"logits/chosen": -1.0598957538604736,
|
1322 |
+
"logits/rejected": -1.0141620635986328,
|
1323 |
+
"logps/chosen": -1.4233707189559937,
|
1324 |
+
"logps/rejected": -1.9325555562973022,
|
1325 |
+
"loss": 1.4575,
|
1326 |
+
"rewards/accuracies": 0.875,
|
1327 |
+
"rewards/chosen": -14.233708381652832,
|
1328 |
+
"rewards/margins": 5.091846466064453,
|
1329 |
+
"rewards/rejected": -19.3255558013916,
|
1330 |
+
"step": 435
|
1331 |
+
},
|
1332 |
+
{
|
1333 |
+
"epoch": 0.9405477621910487,
|
1334 |
+
"grad_norm": 84.89716957923389,
|
1335 |
+
"learning_rate": 1.016230078838226e-08,
|
1336 |
+
"logits/chosen": -1.0672032833099365,
|
1337 |
+
"logits/rejected": -1.004197359085083,
|
1338 |
+
"logps/chosen": -1.4600632190704346,
|
1339 |
+
"logps/rejected": -1.9247214794158936,
|
1340 |
+
"loss": 1.3976,
|
1341 |
+
"rewards/accuracies": 0.8187500238418579,
|
1342 |
+
"rewards/chosen": -14.60063362121582,
|
1343 |
+
"rewards/margins": 4.646584510803223,
|
1344 |
+
"rewards/rejected": -19.24721908569336,
|
1345 |
+
"step": 440
|
1346 |
+
},
|
1347 |
+
{
|
1348 |
+
"epoch": 0.9512358049432198,
|
1349 |
+
"grad_norm": 100.8050659107904,
|
1350 |
+
"learning_rate": 6.754703038239329e-09,
|
1351 |
+
"logits/chosen": -1.0271015167236328,
|
1352 |
+
"logits/rejected": -1.0067023038864136,
|
1353 |
+
"logps/chosen": -1.479617953300476,
|
1354 |
+
"logps/rejected": -2.0660512447357178,
|
1355 |
+
"loss": 1.1916,
|
1356 |
+
"rewards/accuracies": 0.862500011920929,
|
1357 |
+
"rewards/chosen": -14.796180725097656,
|
1358 |
+
"rewards/margins": 5.86433219909668,
|
1359 |
+
"rewards/rejected": -20.660511016845703,
|
1360 |
+
"step": 445
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.9619238476953907,
|
1364 |
+
"grad_norm": 108.38487580301923,
|
1365 |
+
"learning_rate": 4.036953436716895e-09,
|
1366 |
+
"logits/chosen": -1.1366522312164307,
|
1367 |
+
"logits/rejected": -1.1128257513046265,
|
1368 |
+
"logps/chosen": -1.4388145208358765,
|
1369 |
+
"logps/rejected": -1.9377214908599854,
|
1370 |
+
"loss": 1.5938,
|
1371 |
+
"rewards/accuracies": 0.8125,
|
1372 |
+
"rewards/chosen": -14.388147354125977,
|
1373 |
+
"rewards/margins": 4.989068031311035,
|
1374 |
+
"rewards/rejected": -19.377216339111328,
|
1375 |
+
"step": 450
|
1376 |
+
},
|
1377 |
+
{
|
1378 |
+
"epoch": 0.9726118904475618,
|
1379 |
+
"grad_norm": 103.77485773787681,
|
1380 |
+
"learning_rate": 2.0128530023804656e-09,
|
1381 |
+
"logits/chosen": -1.1026852130889893,
|
1382 |
+
"logits/rejected": -1.0658283233642578,
|
1383 |
+
"logps/chosen": -1.4252578020095825,
|
1384 |
+
"logps/rejected": -2.0259361267089844,
|
1385 |
+
"loss": 1.0798,
|
1386 |
+
"rewards/accuracies": 0.8999999761581421,
|
1387 |
+
"rewards/chosen": -14.25257682800293,
|
1388 |
+
"rewards/margins": 6.006783485412598,
|
1389 |
+
"rewards/rejected": -20.259363174438477,
|
1390 |
+
"step": 455
|
1391 |
+
},
|
1392 |
+
{
|
1393 |
+
"epoch": 0.9832999331997327,
|
1394 |
+
"grad_norm": 94.49790728355107,
|
1395 |
+
"learning_rate": 6.852326227130833e-10,
|
1396 |
+
"logits/chosen": -1.1023436784744263,
|
1397 |
+
"logits/rejected": -1.0878626108169556,
|
1398 |
+
"logps/chosen": -1.5501340627670288,
|
1399 |
+
"logps/rejected": -2.1030094623565674,
|
1400 |
+
"loss": 1.389,
|
1401 |
+
"rewards/accuracies": 0.8125,
|
1402 |
+
"rewards/chosen": -15.50133991241455,
|
1403 |
+
"rewards/margins": 5.528753757476807,
|
1404 |
+
"rewards/rejected": -21.030094146728516,
|
1405 |
+
"step": 460
|
1406 |
+
},
|
1407 |
+
{
|
1408 |
+
"epoch": 0.9939879759519038,
|
1409 |
+
"grad_norm": 98.7777667397615,
|
1410 |
+
"learning_rate": 5.594909486328348e-11,
|
1411 |
+
"logits/chosen": -1.0701709985733032,
|
1412 |
+
"logits/rejected": -1.0728482007980347,
|
1413 |
+
"logps/chosen": -1.511604905128479,
|
1414 |
+
"logps/rejected": -2.0450565814971924,
|
1415 |
+
"loss": 1.5678,
|
1416 |
+
"rewards/accuracies": 0.8187500238418579,
|
1417 |
+
"rewards/chosen": -15.116047859191895,
|
1418 |
+
"rewards/margins": 5.334519863128662,
|
1419 |
+
"rewards/rejected": -20.4505672454834,
|
1420 |
+
"step": 465
|
1421 |
+
}
|
1422 |
+
],
|
1423 |
+
"logging_steps": 5,
|
1424 |
+
"max_steps": 467,
|
1425 |
+
"num_input_tokens_seen": 0,
|
1426 |
+
"num_train_epochs": 1,
|
1427 |
+
"save_steps": 1000000,
|
1428 |
+
"stateful_callbacks": {
|
1429 |
+
"TrainerControl": {
|
1430 |
+
"args": {
|
1431 |
+
"should_epoch_stop": false,
|
1432 |
+
"should_evaluate": false,
|
1433 |
+
"should_log": false,
|
1434 |
+
"should_save": true,
|
1435 |
+
"should_training_stop": true
|
1436 |
+
},
|
1437 |
+
"attributes": {}
|
1438 |
+
}
|
1439 |
+
},
|
1440 |
+
"total_flos": 0.0,
|
1441 |
+
"train_batch_size": 2,
|
1442 |
+
"trial_name": null,
|
1443 |
+
"trial_params": null
|
1444 |
+
}
|
checkpoint-467/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:990c8c5b8001cd51e3e89a7606a50e1bdf23c328f1a714b8e03c87972f974da2
|
3 |
+
size 7352
|
checkpoint-467/zero_to_fp32.py
ADDED
@@ -0,0 +1,604 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
#!/usr/bin/env python
|
2 |
+
|
3 |
+
# Copyright (c) Microsoft Corporation.
|
4 |
+
# SPDX-License-Identifier: Apache-2.0
|
5 |
+
|
6 |
+
# DeepSpeed Team
|
7 |
+
|
8 |
+
# This script extracts fp32 consolidated weights from a zero 1, 2 and 3 DeepSpeed checkpoints. It gets
|
9 |
+
# copied into the top level checkpoint dir, so the user can easily do the conversion at any point in
|
10 |
+
# the future. Once extracted, the weights don't require DeepSpeed and can be used in any
|
11 |
+
# application.
|
12 |
+
#
|
13 |
+
# example: python zero_to_fp32.py . pytorch_model.bin
|
14 |
+
|
15 |
+
import argparse
|
16 |
+
import torch
|
17 |
+
import glob
|
18 |
+
import math
|
19 |
+
import os
|
20 |
+
import re
|
21 |
+
from collections import OrderedDict
|
22 |
+
from dataclasses import dataclass
|
23 |
+
|
24 |
+
# while this script doesn't use deepspeed to recover data, since the checkpoints are pickled with
|
25 |
+
# DeepSpeed data structures it has to be available in the current python environment.
|
26 |
+
from deepspeed.utils import logger
|
27 |
+
from deepspeed.checkpoint.constants import (DS_VERSION, OPTIMIZER_STATE_DICT, SINGLE_PARTITION_OF_FP32_GROUPS,
|
28 |
+
FP32_FLAT_GROUPS, ZERO_STAGE, PARTITION_COUNT, PARAM_SHAPES, BUFFER_NAMES,
|
29 |
+
FROZEN_PARAM_SHAPES, FROZEN_PARAM_FRAGMENTS)
|
30 |
+
|
31 |
+
|
32 |
+
@dataclass
|
33 |
+
class zero_model_state:
|
34 |
+
buffers: dict()
|
35 |
+
param_shapes: dict()
|
36 |
+
shared_params: list
|
37 |
+
ds_version: int
|
38 |
+
frozen_param_shapes: dict()
|
39 |
+
frozen_param_fragments: dict()
|
40 |
+
|
41 |
+
|
42 |
+
debug = 0
|
43 |
+
|
44 |
+
# load to cpu
|
45 |
+
device = torch.device('cpu')
|
46 |
+
|
47 |
+
|
48 |
+
def atoi(text):
|
49 |
+
return int(text) if text.isdigit() else text
|
50 |
+
|
51 |
+
|
52 |
+
def natural_keys(text):
|
53 |
+
'''
|
54 |
+
alist.sort(key=natural_keys) sorts in human order
|
55 |
+
http://nedbatchelder.com/blog/200712/human_sorting.html
|
56 |
+
(See Toothy's implementation in the comments)
|
57 |
+
'''
|
58 |
+
return [atoi(c) for c in re.split(r'(\d+)', text)]
|
59 |
+
|
60 |
+
|
61 |
+
def get_model_state_file(checkpoint_dir, zero_stage):
|
62 |
+
if not os.path.isdir(checkpoint_dir):
|
63 |
+
raise FileNotFoundError(f"Directory '{checkpoint_dir}' doesn't exist")
|
64 |
+
|
65 |
+
# there should be only one file
|
66 |
+
if zero_stage <= 2:
|
67 |
+
file = os.path.join(checkpoint_dir, "mp_rank_00_model_states.pt")
|
68 |
+
elif zero_stage == 3:
|
69 |
+
file = os.path.join(checkpoint_dir, "zero_pp_rank_0_mp_rank_00_model_states.pt")
|
70 |
+
|
71 |
+
if not os.path.exists(file):
|
72 |
+
raise FileNotFoundError(f"can't find model states file at '{file}'")
|
73 |
+
|
74 |
+
return file
|
75 |
+
|
76 |
+
|
77 |
+
def get_checkpoint_files(checkpoint_dir, glob_pattern):
|
78 |
+
# XXX: need to test that this simple glob rule works for multi-node setup too
|
79 |
+
ckpt_files = sorted(glob.glob(os.path.join(checkpoint_dir, glob_pattern)), key=natural_keys)
|
80 |
+
|
81 |
+
if len(ckpt_files) == 0:
|
82 |
+
raise FileNotFoundError(f"can't find {glob_pattern} files in directory '{checkpoint_dir}'")
|
83 |
+
|
84 |
+
return ckpt_files
|
85 |
+
|
86 |
+
|
87 |
+
def get_optim_files(checkpoint_dir):
|
88 |
+
return get_checkpoint_files(checkpoint_dir, "*_optim_states.pt")
|
89 |
+
|
90 |
+
|
91 |
+
def get_model_state_files(checkpoint_dir):
|
92 |
+
return get_checkpoint_files(checkpoint_dir, "*_model_states.pt")
|
93 |
+
|
94 |
+
|
95 |
+
def parse_model_states(files):
|
96 |
+
zero_model_states = []
|
97 |
+
for file in files:
|
98 |
+
state_dict = torch.load(file, map_location=device)
|
99 |
+
|
100 |
+
if BUFFER_NAMES not in state_dict:
|
101 |
+
raise ValueError(f"{file} is not a model state checkpoint")
|
102 |
+
buffer_names = state_dict[BUFFER_NAMES]
|
103 |
+
if debug:
|
104 |
+
print("Found buffers:", buffer_names)
|
105 |
+
|
106 |
+
# recover just the buffers while restoring them to fp32 if they were saved in fp16
|
107 |
+
buffers = {k: v.float() for k, v in state_dict["module"].items() if k in buffer_names}
|
108 |
+
param_shapes = state_dict[PARAM_SHAPES]
|
109 |
+
|
110 |
+
# collect parameters that are included in param_shapes
|
111 |
+
param_names = []
|
112 |
+
for s in param_shapes:
|
113 |
+
for name in s.keys():
|
114 |
+
param_names.append(name)
|
115 |
+
|
116 |
+
# update with frozen parameters
|
117 |
+
frozen_param_shapes = state_dict.get(FROZEN_PARAM_SHAPES, None)
|
118 |
+
if frozen_param_shapes is not None:
|
119 |
+
if debug:
|
120 |
+
print(f"Found frozen_param_shapes: {frozen_param_shapes}")
|
121 |
+
param_names += list(frozen_param_shapes.keys())
|
122 |
+
|
123 |
+
# handle shared params
|
124 |
+
shared_params = [[k, v] for k, v in state_dict["shared_params"].items()]
|
125 |
+
|
126 |
+
ds_version = state_dict.get(DS_VERSION, None)
|
127 |
+
|
128 |
+
frozen_param_fragments = state_dict.get(FROZEN_PARAM_FRAGMENTS, None)
|
129 |
+
|
130 |
+
z_model_state = zero_model_state(buffers=buffers,
|
131 |
+
param_shapes=param_shapes,
|
132 |
+
shared_params=shared_params,
|
133 |
+
ds_version=ds_version,
|
134 |
+
frozen_param_shapes=frozen_param_shapes,
|
135 |
+
frozen_param_fragments=frozen_param_fragments)
|
136 |
+
zero_model_states.append(z_model_state)
|
137 |
+
|
138 |
+
return zero_model_states
|
139 |
+
|
140 |
+
|
141 |
+
def parse_optim_states(files, ds_checkpoint_dir):
|
142 |
+
|
143 |
+
total_files = len(files)
|
144 |
+
state_dicts = []
|
145 |
+
for f in files:
|
146 |
+
state_dict = torch.load(f, map_location=device)
|
147 |
+
# immediately discard the potentially huge 2 optimizer states as we only care for fp32 master weights
|
148 |
+
# and also handle the case where it was already removed by another helper script
|
149 |
+
state_dict["optimizer_state_dict"].pop("optimizer_state_dict", None)
|
150 |
+
state_dicts.append(state_dict)
|
151 |
+
|
152 |
+
if not ZERO_STAGE in state_dicts[0][OPTIMIZER_STATE_DICT]:
|
153 |
+
raise ValueError(f"{files[0]} is not a zero checkpoint")
|
154 |
+
zero_stage = state_dicts[0][OPTIMIZER_STATE_DICT][ZERO_STAGE]
|
155 |
+
world_size = state_dicts[0][OPTIMIZER_STATE_DICT][PARTITION_COUNT]
|
156 |
+
|
157 |
+
# For ZeRO-2 each param group can have different partition_count as data parallelism for expert
|
158 |
+
# parameters can be different from data parallelism for non-expert parameters. So we can just
|
159 |
+
# use the max of the partition_count to get the dp world_size.
|
160 |
+
|
161 |
+
if type(world_size) is list:
|
162 |
+
world_size = max(world_size)
|
163 |
+
|
164 |
+
if world_size != total_files:
|
165 |
+
raise ValueError(
|
166 |
+
f"Expected {world_size} of '*_optim_states.pt' under '{ds_checkpoint_dir}' but found {total_files} files. "
|
167 |
+
"Possibly due to an overwrite of an old checkpoint, or a checkpoint didn't get saved by one or more processes."
|
168 |
+
)
|
169 |
+
|
170 |
+
# the groups are named differently in each stage
|
171 |
+
if zero_stage <= 2:
|
172 |
+
fp32_groups_key = SINGLE_PARTITION_OF_FP32_GROUPS
|
173 |
+
elif zero_stage == 3:
|
174 |
+
fp32_groups_key = FP32_FLAT_GROUPS
|
175 |
+
else:
|
176 |
+
raise ValueError(f"unknown zero stage {zero_stage}")
|
177 |
+
|
178 |
+
if zero_stage <= 2:
|
179 |
+
fp32_flat_groups = [state_dicts[i][OPTIMIZER_STATE_DICT][fp32_groups_key] for i in range(len(state_dicts))]
|
180 |
+
elif zero_stage == 3:
|
181 |
+
# if there is more than one param group, there will be multiple flattened tensors - one
|
182 |
+
# flattened tensor per group - for simplicity merge them into a single tensor
|
183 |
+
#
|
184 |
+
# XXX: could make the script more memory efficient for when there are multiple groups - it
|
185 |
+
# will require matching the sub-lists of param_shapes for each param group flattened tensor
|
186 |
+
|
187 |
+
fp32_flat_groups = [
|
188 |
+
torch.cat(state_dicts[i][OPTIMIZER_STATE_DICT][fp32_groups_key], 0) for i in range(len(state_dicts))
|
189 |
+
]
|
190 |
+
|
191 |
+
return zero_stage, world_size, fp32_flat_groups
|
192 |
+
|
193 |
+
|
194 |
+
def _get_fp32_state_dict_from_zero_checkpoint(ds_checkpoint_dir, exclude_frozen_parameters):
|
195 |
+
"""
|
196 |
+
Returns fp32 state_dict reconstructed from ds checkpoint
|
197 |
+
|
198 |
+
Args:
|
199 |
+
- ``ds_checkpoint_dir``: path to the deepspeed checkpoint folder (where the optimizer files are)
|
200 |
+
|
201 |
+
"""
|
202 |
+
print(f"Processing zero checkpoint '{ds_checkpoint_dir}'")
|
203 |
+
|
204 |
+
optim_files = get_optim_files(ds_checkpoint_dir)
|
205 |
+
zero_stage, world_size, fp32_flat_groups = parse_optim_states(optim_files, ds_checkpoint_dir)
|
206 |
+
print(f"Detected checkpoint of type zero stage {zero_stage}, world_size: {world_size}")
|
207 |
+
|
208 |
+
model_files = get_model_state_files(ds_checkpoint_dir)
|
209 |
+
|
210 |
+
zero_model_states = parse_model_states(model_files)
|
211 |
+
print(f'Parsing checkpoint created by deepspeed=={zero_model_states[0].ds_version}')
|
212 |
+
|
213 |
+
if zero_stage <= 2:
|
214 |
+
return _get_fp32_state_dict_from_zero2_checkpoint(world_size, fp32_flat_groups, zero_model_states,
|
215 |
+
exclude_frozen_parameters)
|
216 |
+
elif zero_stage == 3:
|
217 |
+
return _get_fp32_state_dict_from_zero3_checkpoint(world_size, fp32_flat_groups, zero_model_states,
|
218 |
+
exclude_frozen_parameters)
|
219 |
+
|
220 |
+
|
221 |
+
def _zero2_merge_frozen_params(state_dict, zero_model_states):
|
222 |
+
if zero_model_states[0].frozen_param_shapes is None or len(zero_model_states[0].frozen_param_shapes) == 0:
|
223 |
+
return
|
224 |
+
|
225 |
+
frozen_param_shapes = zero_model_states[0].frozen_param_shapes
|
226 |
+
frozen_param_fragments = zero_model_states[0].frozen_param_fragments
|
227 |
+
|
228 |
+
if debug:
|
229 |
+
num_elem = sum(s.numel() for s in frozen_param_shapes.values())
|
230 |
+
print(f'rank 0: {FROZEN_PARAM_SHAPES}.numel = {num_elem}')
|
231 |
+
|
232 |
+
wanted_params = len(frozen_param_shapes)
|
233 |
+
wanted_numel = sum(s.numel() for s in frozen_param_shapes.values())
|
234 |
+
avail_numel = sum([p.numel() for p in frozen_param_fragments.values()])
|
235 |
+
print(f'Frozen params: Have {avail_numel} numels to process.')
|
236 |
+
print(f'Frozen params: Need {wanted_numel} numels in {wanted_params} params')
|
237 |
+
|
238 |
+
total_params = 0
|
239 |
+
total_numel = 0
|
240 |
+
for name, shape in frozen_param_shapes.items():
|
241 |
+
total_params += 1
|
242 |
+
unpartitioned_numel = shape.numel()
|
243 |
+
total_numel += unpartitioned_numel
|
244 |
+
|
245 |
+
state_dict[name] = frozen_param_fragments[name]
|
246 |
+
|
247 |
+
if debug:
|
248 |
+
print(f"{name} full shape: {shape} unpartitioned numel {unpartitioned_numel} ")
|
249 |
+
|
250 |
+
print(f"Reconstructed Frozen fp32 state dict with {total_params} params {total_numel} elements")
|
251 |
+
|
252 |
+
|
253 |
+
def _has_callable(obj, fn):
|
254 |
+
attr = getattr(obj, fn, None)
|
255 |
+
return callable(attr)
|
256 |
+
|
257 |
+
|
258 |
+
def _zero2_merge_trainable_params(state_dict, world_size, fp32_flat_groups, zero_model_states):
|
259 |
+
param_shapes = zero_model_states[0].param_shapes
|
260 |
+
|
261 |
+
# Reconstruction protocol:
|
262 |
+
#
|
263 |
+
# XXX: document this
|
264 |
+
|
265 |
+
if debug:
|
266 |
+
for i in range(world_size):
|
267 |
+
for j in range(len(fp32_flat_groups[0])):
|
268 |
+
print(f"{FP32_FLAT_GROUPS}[{i}][{j}].shape={fp32_flat_groups[i][j].shape}")
|
269 |
+
|
270 |
+
# XXX: memory usage doubles here (zero2)
|
271 |
+
num_param_groups = len(fp32_flat_groups[0])
|
272 |
+
merged_single_partition_of_fp32_groups = []
|
273 |
+
for i in range(num_param_groups):
|
274 |
+
merged_partitions = [sd[i] for sd in fp32_flat_groups]
|
275 |
+
full_single_fp32_vector = torch.cat(merged_partitions, 0)
|
276 |
+
merged_single_partition_of_fp32_groups.append(full_single_fp32_vector)
|
277 |
+
avail_numel = sum(
|
278 |
+
[full_single_fp32_vector.numel() for full_single_fp32_vector in merged_single_partition_of_fp32_groups])
|
279 |
+
|
280 |
+
if debug:
|
281 |
+
wanted_params = sum([len(shapes) for shapes in param_shapes])
|
282 |
+
wanted_numel = sum([sum(shape.numel() for shape in shapes.values()) for shapes in param_shapes])
|
283 |
+
# not asserting if there is a mismatch due to possible padding
|
284 |
+
print(f"Have {avail_numel} numels to process.")
|
285 |
+
print(f"Need {wanted_numel} numels in {wanted_params} params.")
|
286 |
+
|
287 |
+
# params
|
288 |
+
# XXX: for huge models that can't fit into the host's RAM we will have to recode this to support
|
289 |
+
# out-of-core computing solution
|
290 |
+
total_numel = 0
|
291 |
+
total_params = 0
|
292 |
+
for shapes, full_single_fp32_vector in zip(param_shapes, merged_single_partition_of_fp32_groups):
|
293 |
+
offset = 0
|
294 |
+
avail_numel = full_single_fp32_vector.numel()
|
295 |
+
for name, shape in shapes.items():
|
296 |
+
|
297 |
+
unpartitioned_numel = shape.numel() if _has_callable(shape, 'numel') else math.prod(shape)
|
298 |
+
total_numel += unpartitioned_numel
|
299 |
+
total_params += 1
|
300 |
+
|
301 |
+
if debug:
|
302 |
+
print(f"{name} full shape: {shape} unpartitioned numel {unpartitioned_numel} ")
|
303 |
+
state_dict[name] = full_single_fp32_vector.narrow(0, offset, unpartitioned_numel).view(shape)
|
304 |
+
offset += unpartitioned_numel
|
305 |
+
|
306 |
+
# Z2 started to align to 2*world_size to improve nccl performance. Therefore both offset and
|
307 |
+
# avail_numel can differ by anywhere between 0..2*world_size. Due to two unrelated complex
|
308 |
+
# paddings performed in the code it's almost impossible to predict the exact numbers w/o the
|
309 |
+
# live optimizer object, so we are checking that the numbers are within the right range
|
310 |
+
align_to = 2 * world_size
|
311 |
+
|
312 |
+
def zero2_align(x):
|
313 |
+
return align_to * math.ceil(x / align_to)
|
314 |
+
|
315 |
+
if debug:
|
316 |
+
print(f"original offset={offset}, avail_numel={avail_numel}")
|
317 |
+
|
318 |
+
offset = zero2_align(offset)
|
319 |
+
avail_numel = zero2_align(avail_numel)
|
320 |
+
|
321 |
+
if debug:
|
322 |
+
print(f"aligned offset={offset}, avail_numel={avail_numel}")
|
323 |
+
|
324 |
+
# Sanity check
|
325 |
+
if offset != avail_numel:
|
326 |
+
raise ValueError(f"consumed {offset} numels out of {avail_numel} - something is wrong")
|
327 |
+
|
328 |
+
print(f"Reconstructed fp32 state dict with {total_params} params {total_numel} elements")
|
329 |
+
|
330 |
+
|
331 |
+
def _get_fp32_state_dict_from_zero2_checkpoint(world_size, fp32_flat_groups, zero_model_states,
|
332 |
+
exclude_frozen_parameters):
|
333 |
+
state_dict = OrderedDict()
|
334 |
+
|
335 |
+
# buffers
|
336 |
+
buffers = zero_model_states[0].buffers
|
337 |
+
state_dict.update(buffers)
|
338 |
+
if debug:
|
339 |
+
print(f"added {len(buffers)} buffers")
|
340 |
+
|
341 |
+
if not exclude_frozen_parameters:
|
342 |
+
_zero2_merge_frozen_params(state_dict, zero_model_states)
|
343 |
+
|
344 |
+
_zero2_merge_trainable_params(state_dict, world_size, fp32_flat_groups, zero_model_states)
|
345 |
+
|
346 |
+
# recover shared parameters
|
347 |
+
for pair in zero_model_states[0].shared_params:
|
348 |
+
if pair[1] in state_dict:
|
349 |
+
state_dict[pair[0]] = state_dict[pair[1]]
|
350 |
+
|
351 |
+
return state_dict
|
352 |
+
|
353 |
+
|
354 |
+
def zero3_partitioned_param_info(unpartitioned_numel, world_size):
|
355 |
+
remainder = unpartitioned_numel % world_size
|
356 |
+
padding_numel = (world_size - remainder) if remainder else 0
|
357 |
+
partitioned_numel = math.ceil(unpartitioned_numel / world_size)
|
358 |
+
return partitioned_numel, padding_numel
|
359 |
+
|
360 |
+
|
361 |
+
def _zero3_merge_frozen_params(state_dict, world_size, zero_model_states):
|
362 |
+
if zero_model_states[0].frozen_param_shapes is None or len(zero_model_states[0].frozen_param_shapes) == 0:
|
363 |
+
return
|
364 |
+
|
365 |
+
if debug:
|
366 |
+
for i in range(world_size):
|
367 |
+
num_elem = sum(s.numel() for s in zero_model_states[i].frozen_param_fragments.values())
|
368 |
+
print(f'rank {i}: {FROZEN_PARAM_SHAPES}.numel = {num_elem}')
|
369 |
+
|
370 |
+
frozen_param_shapes = zero_model_states[0].frozen_param_shapes
|
371 |
+
wanted_params = len(frozen_param_shapes)
|
372 |
+
wanted_numel = sum(s.numel() for s in frozen_param_shapes.values())
|
373 |
+
avail_numel = sum([p.numel() for p in zero_model_states[0].frozen_param_fragments.values()]) * world_size
|
374 |
+
print(f'Frozen params: Have {avail_numel} numels to process.')
|
375 |
+
print(f'Frozen params: Need {wanted_numel} numels in {wanted_params} params')
|
376 |
+
|
377 |
+
total_params = 0
|
378 |
+
total_numel = 0
|
379 |
+
for name, shape in zero_model_states[0].frozen_param_shapes.items():
|
380 |
+
total_params += 1
|
381 |
+
unpartitioned_numel = shape.numel()
|
382 |
+
total_numel += unpartitioned_numel
|
383 |
+
|
384 |
+
param_frags = tuple(model_state.frozen_param_fragments[name] for model_state in zero_model_states)
|
385 |
+
state_dict[name] = torch.cat(param_frags, 0).narrow(0, 0, unpartitioned_numel).view(shape)
|
386 |
+
|
387 |
+
partitioned_numel, partitioned_padding_numel = zero3_partitioned_param_info(unpartitioned_numel, world_size)
|
388 |
+
|
389 |
+
if debug:
|
390 |
+
print(
|
391 |
+
f"Frozen params: {total_params} {name} full shape: {shape} partition0 numel={partitioned_numel} partitioned_padding_numel={partitioned_padding_numel}"
|
392 |
+
)
|
393 |
+
|
394 |
+
print(f"Reconstructed Frozen fp32 state dict with {total_params} params {total_numel} elements")
|
395 |
+
|
396 |
+
|
397 |
+
def _zero3_merge_trainable_params(state_dict, world_size, fp32_flat_groups, zero_model_states):
|
398 |
+
param_shapes = zero_model_states[0].param_shapes
|
399 |
+
avail_numel = fp32_flat_groups[0].numel() * world_size
|
400 |
+
# Reconstruction protocol: For zero3 we need to zip the partitions together at boundary of each
|
401 |
+
# param, re-consolidating each param, while dealing with padding if any
|
402 |
+
|
403 |
+
# merge list of dicts, preserving order
|
404 |
+
param_shapes = {k: v for d in param_shapes for k, v in d.items()}
|
405 |
+
|
406 |
+
if debug:
|
407 |
+
for i in range(world_size):
|
408 |
+
print(f"{FP32_FLAT_GROUPS}[{i}].shape={fp32_flat_groups[i].shape}")
|
409 |
+
|
410 |
+
wanted_params = len(param_shapes)
|
411 |
+
wanted_numel = sum(shape.numel() for shape in param_shapes.values())
|
412 |
+
# not asserting if there is a mismatch due to possible padding
|
413 |
+
avail_numel = fp32_flat_groups[0].numel() * world_size
|
414 |
+
print(f"Trainable params: Have {avail_numel} numels to process.")
|
415 |
+
print(f"Trainable params: Need {wanted_numel} numels in {wanted_params} params.")
|
416 |
+
|
417 |
+
# params
|
418 |
+
# XXX: for huge models that can't fit into the host's RAM we will have to recode this to support
|
419 |
+
# out-of-core computing solution
|
420 |
+
offset = 0
|
421 |
+
total_numel = 0
|
422 |
+
total_params = 0
|
423 |
+
for name, shape in param_shapes.items():
|
424 |
+
|
425 |
+
unpartitioned_numel = shape.numel()
|
426 |
+
total_numel += unpartitioned_numel
|
427 |
+
total_params += 1
|
428 |
+
|
429 |
+
partitioned_numel, partitioned_padding_numel = zero3_partitioned_param_info(unpartitioned_numel, world_size)
|
430 |
+
|
431 |
+
if debug:
|
432 |
+
print(
|
433 |
+
f"Trainable params: {total_params} {name} full shape: {shape} partition0 numel={partitioned_numel} partitioned_padding_numel={partitioned_padding_numel}"
|
434 |
+
)
|
435 |
+
|
436 |
+
# XXX: memory usage doubles here
|
437 |
+
state_dict[name] = torch.cat(
|
438 |
+
tuple(fp32_flat_groups[i].narrow(0, offset, partitioned_numel) for i in range(world_size)),
|
439 |
+
0).narrow(0, 0, unpartitioned_numel).view(shape)
|
440 |
+
offset += partitioned_numel
|
441 |
+
|
442 |
+
offset *= world_size
|
443 |
+
|
444 |
+
# Sanity check
|
445 |
+
if offset != avail_numel:
|
446 |
+
raise ValueError(f"consumed {offset} numels out of {avail_numel} - something is wrong")
|
447 |
+
|
448 |
+
print(f"Reconstructed Trainable fp32 state dict with {total_params} params {total_numel} elements")
|
449 |
+
|
450 |
+
|
451 |
+
def _get_fp32_state_dict_from_zero3_checkpoint(world_size, fp32_flat_groups, zero_model_states,
|
452 |
+
exclude_frozen_parameters):
|
453 |
+
state_dict = OrderedDict()
|
454 |
+
|
455 |
+
# buffers
|
456 |
+
buffers = zero_model_states[0].buffers
|
457 |
+
state_dict.update(buffers)
|
458 |
+
if debug:
|
459 |
+
print(f"added {len(buffers)} buffers")
|
460 |
+
|
461 |
+
if not exclude_frozen_parameters:
|
462 |
+
_zero3_merge_frozen_params(state_dict, world_size, zero_model_states)
|
463 |
+
|
464 |
+
_zero3_merge_trainable_params(state_dict, world_size, fp32_flat_groups, zero_model_states)
|
465 |
+
|
466 |
+
# recover shared parameters
|
467 |
+
for pair in zero_model_states[0].shared_params:
|
468 |
+
if pair[1] in state_dict:
|
469 |
+
state_dict[pair[0]] = state_dict[pair[1]]
|
470 |
+
|
471 |
+
return state_dict
|
472 |
+
|
473 |
+
|
474 |
+
def get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir, tag=None, exclude_frozen_parameters=False):
|
475 |
+
"""
|
476 |
+
Convert ZeRO 2 or 3 checkpoint into a single fp32 consolidated state_dict that can be loaded with
|
477 |
+
``load_state_dict()`` and used for training without DeepSpeed or shared with others, for example
|
478 |
+
via a model hub.
|
479 |
+
|
480 |
+
Args:
|
481 |
+
- ``checkpoint_dir``: path to the desired checkpoint folder
|
482 |
+
- ``tag``: checkpoint tag used as a unique identifier for checkpoint. If not provided will attempt to load tag in 'latest' file. e.g., ``global_step14``
|
483 |
+
- ``exclude_frozen_parameters``: exclude frozen parameters
|
484 |
+
|
485 |
+
Returns:
|
486 |
+
- pytorch ``state_dict``
|
487 |
+
|
488 |
+
Note: this approach may not work if your application doesn't have sufficient free CPU memory and
|
489 |
+
you may need to use the offline approach using the ``zero_to_fp32.py`` script that is saved with
|
490 |
+
the checkpoint.
|
491 |
+
|
492 |
+
A typical usage might be ::
|
493 |
+
|
494 |
+
from deepspeed.utils.zero_to_fp32 import get_fp32_state_dict_from_zero_checkpoint
|
495 |
+
# do the training and checkpoint saving
|
496 |
+
state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir) # already on cpu
|
497 |
+
model = model.cpu() # move to cpu
|
498 |
+
model.load_state_dict(state_dict)
|
499 |
+
# submit to model hub or save the model to share with others
|
500 |
+
|
501 |
+
In this example the ``model`` will no longer be usable in the deepspeed context of the same
|
502 |
+
application. i.e. you will need to re-initialize the deepspeed engine, since
|
503 |
+
``model.load_state_dict(state_dict)`` will remove all the deepspeed magic from it.
|
504 |
+
|
505 |
+
If you want it all done for you, use ``load_state_dict_from_zero_checkpoint`` instead.
|
506 |
+
|
507 |
+
"""
|
508 |
+
if tag is None:
|
509 |
+
latest_path = os.path.join(checkpoint_dir, 'latest')
|
510 |
+
if os.path.isfile(latest_path):
|
511 |
+
with open(latest_path, 'r') as fd:
|
512 |
+
tag = fd.read().strip()
|
513 |
+
else:
|
514 |
+
raise ValueError(f"Unable to find 'latest' file at {latest_path}")
|
515 |
+
|
516 |
+
ds_checkpoint_dir = os.path.join(checkpoint_dir, tag)
|
517 |
+
|
518 |
+
if not os.path.isdir(ds_checkpoint_dir):
|
519 |
+
raise FileNotFoundError(f"Directory '{ds_checkpoint_dir}' doesn't exist")
|
520 |
+
|
521 |
+
return _get_fp32_state_dict_from_zero_checkpoint(ds_checkpoint_dir, exclude_frozen_parameters)
|
522 |
+
|
523 |
+
|
524 |
+
def convert_zero_checkpoint_to_fp32_state_dict(checkpoint_dir, output_file, tag=None, exclude_frozen_parameters=False):
|
525 |
+
"""
|
526 |
+
Convert ZeRO 2 or 3 checkpoint into a single fp32 consolidated ``state_dict`` file that can be
|
527 |
+
loaded with ``torch.load(file)`` + ``load_state_dict()`` and used for training without DeepSpeed.
|
528 |
+
|
529 |
+
Args:
|
530 |
+
- ``checkpoint_dir``: path to the desired checkpoint folder. (one that contains the tag-folder, like ``global_step14``)
|
531 |
+
- ``output_file``: path to the pytorch fp32 state_dict output file (e.g. path/pytorch_model.bin)
|
532 |
+
- ``tag``: checkpoint tag used as a unique identifier for checkpoint. If not provided will attempt to load tag in the file named ``latest`` in the checkpoint folder, e.g., ``global_step14``
|
533 |
+
- ``exclude_frozen_parameters``: exclude frozen parameters
|
534 |
+
"""
|
535 |
+
|
536 |
+
state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir, tag, exclude_frozen_parameters)
|
537 |
+
print(f"Saving fp32 state dict to {output_file}")
|
538 |
+
torch.save(state_dict, output_file)
|
539 |
+
|
540 |
+
|
541 |
+
def load_state_dict_from_zero_checkpoint(model, checkpoint_dir, tag=None):
|
542 |
+
"""
|
543 |
+
1. Put the provided model to cpu
|
544 |
+
2. Convert ZeRO 2 or 3 checkpoint into a single fp32 consolidated ``state_dict``
|
545 |
+
3. Load it into the provided model
|
546 |
+
|
547 |
+
Args:
|
548 |
+
- ``model``: the model object to update
|
549 |
+
- ``checkpoint_dir``: path to the desired checkpoint folder. (one that contains the tag-folder, like ``global_step14``)
|
550 |
+
- ``tag``: checkpoint tag used as a unique identifier for checkpoint. If not provided will attempt to load tag in the file named ``latest`` in the checkpoint folder, e.g., ``global_step14``
|
551 |
+
|
552 |
+
Returns:
|
553 |
+
- ``model`: modified model
|
554 |
+
|
555 |
+
Make sure you have plenty of CPU memory available before you call this function. If you don't
|
556 |
+
have enough use the ``zero_to_fp32.py`` utility to do the conversion. You will find it
|
557 |
+
conveniently placed for you in the checkpoint folder.
|
558 |
+
|
559 |
+
A typical usage might be ::
|
560 |
+
|
561 |
+
from deepspeed.utils.zero_to_fp32 import load_state_dict_from_zero_checkpoint
|
562 |
+
model = load_state_dict_from_zero_checkpoint(trainer.model, checkpoint_dir)
|
563 |
+
# submit to model hub or save the model to share with others
|
564 |
+
|
565 |
+
Note, that once this was run, the ``model`` will no longer be usable in the deepspeed context
|
566 |
+
of the same application. i.e. you will need to re-initialize the deepspeed engine, since
|
567 |
+
``model.load_state_dict(state_dict)`` will remove all the deepspeed magic from it.
|
568 |
+
|
569 |
+
"""
|
570 |
+
logger.info(f"Extracting fp32 weights")
|
571 |
+
state_dict = get_fp32_state_dict_from_zero_checkpoint(checkpoint_dir, tag)
|
572 |
+
|
573 |
+
logger.info(f"Overwriting model with fp32 weights")
|
574 |
+
model = model.cpu()
|
575 |
+
model.load_state_dict(state_dict, strict=False)
|
576 |
+
|
577 |
+
return model
|
578 |
+
|
579 |
+
|
580 |
+
if __name__ == "__main__":
|
581 |
+
|
582 |
+
parser = argparse.ArgumentParser()
|
583 |
+
parser.add_argument("checkpoint_dir",
|
584 |
+
type=str,
|
585 |
+
help="path to the desired checkpoint folder, e.g., path/checkpoint-12")
|
586 |
+
parser.add_argument(
|
587 |
+
"output_file",
|
588 |
+
type=str,
|
589 |
+
help="path to the pytorch fp32 state_dict output file (e.g. path/checkpoint-12/pytorch_model.bin)")
|
590 |
+
parser.add_argument("-t",
|
591 |
+
"--tag",
|
592 |
+
type=str,
|
593 |
+
default=None,
|
594 |
+
help="checkpoint tag used as a unique identifier for checkpoint. e.g., global_step1")
|
595 |
+
parser.add_argument("--exclude_frozen_parameters", action='store_true', help="exclude frozen parameters")
|
596 |
+
parser.add_argument("-d", "--debug", action='store_true', help="enable debug")
|
597 |
+
args = parser.parse_args()
|
598 |
+
|
599 |
+
debug = args.debug
|
600 |
+
|
601 |
+
convert_zero_checkpoint_to_fp32_state_dict(args.checkpoint_dir,
|
602 |
+
args.output_file,
|
603 |
+
tag=args.tag,
|
604 |
+
exclude_frozen_parameters=args.exclude_frozen_parameters)
|
config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 128000,
|
9 |
+
"eos_token_id": 128009,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 4096,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 14336,
|
14 |
+
"max_position_embeddings": 8192,
|
15 |
+
"mlp_bias": false,
|
16 |
+
"model_type": "llama",
|
17 |
+
"num_attention_heads": 32,
|
18 |
+
"num_hidden_layers": 32,
|
19 |
+
"num_key_value_heads": 8,
|
20 |
+
"pretraining_tp": 1,
|
21 |
+
"rms_norm_eps": 1e-05,
|
22 |
+
"rope_scaling": null,
|
23 |
+
"rope_theta": 500000.0,
|
24 |
+
"tie_word_embeddings": false,
|
25 |
+
"torch_dtype": "bfloat16",
|
26 |
+
"transformers_version": "4.44.2",
|
27 |
+
"use_cache": true,
|
28 |
+
"vocab_size": 128256
|
29 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.9982631930527722,
|
3 |
+
"eval_logits/chosen": -1.319807767868042,
|
4 |
+
"eval_logits/rejected": -1.328245759010315,
|
5 |
+
"eval_logps/chosen": -1.4769620895385742,
|
6 |
+
"eval_logps/rejected": -1.9949750900268555,
|
7 |
+
"eval_loss": 1.3845703601837158,
|
8 |
+
"eval_rewards/accuracies": 0.8231707215309143,
|
9 |
+
"eval_rewards/chosen": -14.769620895385742,
|
10 |
+
"eval_rewards/margins": 5.180131435394287,
|
11 |
+
"eval_rewards/rejected": -19.949752807617188,
|
12 |
+
"eval_runtime": 87.8371,
|
13 |
+
"eval_samples": 1961,
|
14 |
+
"eval_samples_per_second": 22.325,
|
15 |
+
"eval_steps_per_second": 1.4
|
16 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 128000,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
128001,
|
6 |
+
128009
|
7 |
+
],
|
8 |
+
"max_length": 4096,
|
9 |
+
"temperature": 0.6,
|
10 |
+
"top_p": 0.9,
|
11 |
+
"transformers_version": "4.44.2"
|
12 |
+
}
|
model-00001-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4a4d02f89ee587dfa885a25c30e44d063677e16f453c463a54bafc90ea1cdf9a
|
3 |
+
size 4976698672
|
model-00002-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:98d38a3529eaf96c27321ef1669f21a739743104249072a85e8b5b4557ee5407
|
3 |
+
size 4999802720
|
model-00003-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b4c070b7aea29214412ec41afb6e3bbfa6bba53ef0d5487f3fc17ff630de9237
|
3 |
+
size 4915916176
|
model-00004-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8fcf7552dca049a441a7bd173f737520ca7ceadf16ba931b5deab4f65cac276a
|
3 |
+
size 1168138808
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 16060522496
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00004-of-00004.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
242 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
251 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
260 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
269 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
278 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
287 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
296 |
+
"model.norm.weight": "model-00004-of-00004.safetensors"
|
297 |
+
}
|
298 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|begin_of_text|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|eot_id|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<|eot_id|>"
|
17 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,2063 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"128000": {
|
4 |
+
"content": "<|begin_of_text|>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"128001": {
|
12 |
+
"content": "<|end_of_text|>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"128002": {
|
20 |
+
"content": "<|reserved_special_token_0|>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"128003": {
|
28 |
+
"content": "<|reserved_special_token_1|>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"128004": {
|
36 |
+
"content": "<|reserved_special_token_2|>",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"128005": {
|
44 |
+
"content": "<|reserved_special_token_3|>",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
},
|
51 |
+
"128006": {
|
52 |
+
"content": "<|start_header_id|>",
|
53 |
+
"lstrip": false,
|
54 |
+
"normalized": false,
|
55 |
+
"rstrip": false,
|
56 |
+
"single_word": false,
|
57 |
+
"special": true
|
58 |
+
},
|
59 |
+
"128007": {
|
60 |
+
"content": "<|end_header_id|>",
|
61 |
+
"lstrip": false,
|
62 |
+
"normalized": false,
|
63 |
+
"rstrip": false,
|
64 |
+
"single_word": false,
|
65 |
+
"special": true
|
66 |
+
},
|
67 |
+
"128008": {
|
68 |
+
"content": "<|reserved_special_token_4|>",
|
69 |
+
"lstrip": false,
|
70 |
+
"normalized": false,
|
71 |
+
"rstrip": false,
|
72 |
+
"single_word": false,
|
73 |
+
"special": true
|
74 |
+
},
|
75 |
+
"128009": {
|
76 |
+
"content": "<|eot_id|>",
|
77 |
+
"lstrip": false,
|
78 |
+
"normalized": false,
|
79 |
+
"rstrip": false,
|
80 |
+
"single_word": false,
|
81 |
+
"special": true
|
82 |
+
},
|
83 |
+
"128010": {
|
84 |
+
"content": "<|reserved_special_token_5|>",
|
85 |
+
"lstrip": false,
|
86 |
+
"normalized": false,
|
87 |
+
"rstrip": false,
|
88 |
+
"single_word": false,
|
89 |
+
"special": true
|
90 |
+
},
|
91 |
+
"128011": {
|
92 |
+
"content": "<|reserved_special_token_6|>",
|
93 |
+
"lstrip": false,
|
94 |
+
"normalized": false,
|
95 |
+
"rstrip": false,
|
96 |
+
"single_word": false,
|
97 |
+
"special": true
|
98 |
+
},
|
99 |
+
"128012": {
|
100 |
+
"content": "<|reserved_special_token_7|>",
|
101 |
+
"lstrip": false,
|
102 |
+
"normalized": false,
|
103 |
+
"rstrip": false,
|
104 |
+
"single_word": false,
|
105 |
+
"special": true
|
106 |
+
},
|
107 |
+
"128013": {
|
108 |
+
"content": "<|reserved_special_token_8|>",
|
109 |
+
"lstrip": false,
|
110 |
+
"normalized": false,
|
111 |
+
"rstrip": false,
|
112 |
+
"single_word": false,
|
113 |
+
"special": true
|
114 |
+
},
|
115 |
+
"128014": {
|
116 |
+
"content": "<|reserved_special_token_9|>",
|
117 |
+
"lstrip": false,
|
118 |
+
"normalized": false,
|
119 |
+
"rstrip": false,
|
120 |
+
"single_word": false,
|
121 |
+
"special": true
|
122 |
+
},
|
123 |
+
"128015": {
|
124 |
+
"content": "<|reserved_special_token_10|>",
|
125 |
+
"lstrip": false,
|
126 |
+
"normalized": false,
|
127 |
+
"rstrip": false,
|
128 |
+
"single_word": false,
|
129 |
+
"special": true
|
130 |
+
},
|
131 |
+
"128016": {
|
132 |
+
"content": "<|reserved_special_token_11|>",
|
133 |
+
"lstrip": false,
|
134 |
+
"normalized": false,
|
135 |
+
"rstrip": false,
|
136 |
+
"single_word": false,
|
137 |
+
"special": true
|
138 |
+
},
|
139 |
+
"128017": {
|
140 |
+
"content": "<|reserved_special_token_12|>",
|
141 |
+
"lstrip": false,
|
142 |
+
"normalized": false,
|
143 |
+
"rstrip": false,
|
144 |
+
"single_word": false,
|
145 |
+
"special": true
|
146 |
+
},
|
147 |
+
"128018": {
|
148 |
+
"content": "<|reserved_special_token_13|>",
|
149 |
+
"lstrip": false,
|
150 |
+
"normalized": false,
|
151 |
+
"rstrip": false,
|
152 |
+
"single_word": false,
|
153 |
+
"special": true
|
154 |
+
},
|
155 |
+
"128019": {
|
156 |
+
"content": "<|reserved_special_token_14|>",
|
157 |
+
"lstrip": false,
|
158 |
+
"normalized": false,
|
159 |
+
"rstrip": false,
|
160 |
+
"single_word": false,
|
161 |
+
"special": true
|
162 |
+
},
|
163 |
+
"128020": {
|
164 |
+
"content": "<|reserved_special_token_15|>",
|
165 |
+
"lstrip": false,
|
166 |
+
"normalized": false,
|
167 |
+
"rstrip": false,
|
168 |
+
"single_word": false,
|
169 |
+
"special": true
|
170 |
+
},
|
171 |
+
"128021": {
|
172 |
+
"content": "<|reserved_special_token_16|>",
|
173 |
+
"lstrip": false,
|
174 |
+
"normalized": false,
|
175 |
+
"rstrip": false,
|
176 |
+
"single_word": false,
|
177 |
+
"special": true
|
178 |
+
},
|
179 |
+
"128022": {
|
180 |
+
"content": "<|reserved_special_token_17|>",
|
181 |
+
"lstrip": false,
|
182 |
+
"normalized": false,
|
183 |
+
"rstrip": false,
|
184 |
+
"single_word": false,
|
185 |
+
"special": true
|
186 |
+
},
|
187 |
+
"128023": {
|
188 |
+
"content": "<|reserved_special_token_18|>",
|
189 |
+
"lstrip": false,
|
190 |
+
"normalized": false,
|
191 |
+
"rstrip": false,
|
192 |
+
"single_word": false,
|
193 |
+
"special": true
|
194 |
+
},
|
195 |
+
"128024": {
|
196 |
+
"content": "<|reserved_special_token_19|>",
|
197 |
+
"lstrip": false,
|
198 |
+
"normalized": false,
|
199 |
+
"rstrip": false,
|
200 |
+
"single_word": false,
|
201 |
+
"special": true
|
202 |
+
},
|
203 |
+
"128025": {
|
204 |
+
"content": "<|reserved_special_token_20|>",
|
205 |
+
"lstrip": false,
|
206 |
+
"normalized": false,
|
207 |
+
"rstrip": false,
|
208 |
+
"single_word": false,
|
209 |
+
"special": true
|
210 |
+
},
|
211 |
+
"128026": {
|
212 |
+
"content": "<|reserved_special_token_21|>",
|
213 |
+
"lstrip": false,
|
214 |
+
"normalized": false,
|
215 |
+
"rstrip": false,
|
216 |
+
"single_word": false,
|
217 |
+
"special": true
|
218 |
+
},
|
219 |
+
"128027": {
|
220 |
+
"content": "<|reserved_special_token_22|>",
|
221 |
+
"lstrip": false,
|
222 |
+
"normalized": false,
|
223 |
+
"rstrip": false,
|
224 |
+
"single_word": false,
|
225 |
+
"special": true
|
226 |
+
},
|
227 |
+
"128028": {
|
228 |
+
"content": "<|reserved_special_token_23|>",
|
229 |
+
"lstrip": false,
|
230 |
+
"normalized": false,
|
231 |
+
"rstrip": false,
|
232 |
+
"single_word": false,
|
233 |
+
"special": true
|
234 |
+
},
|
235 |
+
"128029": {
|
236 |
+
"content": "<|reserved_special_token_24|>",
|
237 |
+
"lstrip": false,
|
238 |
+
"normalized": false,
|
239 |
+
"rstrip": false,
|
240 |
+
"single_word": false,
|
241 |
+
"special": true
|
242 |
+
},
|
243 |
+
"128030": {
|
244 |
+
"content": "<|reserved_special_token_25|>",
|
245 |
+
"lstrip": false,
|
246 |
+
"normalized": false,
|
247 |
+
"rstrip": false,
|
248 |
+
"single_word": false,
|
249 |
+
"special": true
|
250 |
+
},
|
251 |
+
"128031": {
|
252 |
+
"content": "<|reserved_special_token_26|>",
|
253 |
+
"lstrip": false,
|
254 |
+
"normalized": false,
|
255 |
+
"rstrip": false,
|
256 |
+
"single_word": false,
|
257 |
+
"special": true
|
258 |
+
},
|
259 |
+
"128032": {
|
260 |
+
"content": "<|reserved_special_token_27|>",
|
261 |
+
"lstrip": false,
|
262 |
+
"normalized": false,
|
263 |
+
"rstrip": false,
|
264 |
+
"single_word": false,
|
265 |
+
"special": true
|
266 |
+
},
|
267 |
+
"128033": {
|
268 |
+
"content": "<|reserved_special_token_28|>",
|
269 |
+
"lstrip": false,
|
270 |
+
"normalized": false,
|
271 |
+
"rstrip": false,
|
272 |
+
"single_word": false,
|
273 |
+
"special": true
|
274 |
+
},
|
275 |
+
"128034": {
|
276 |
+
"content": "<|reserved_special_token_29|>",
|
277 |
+
"lstrip": false,
|
278 |
+
"normalized": false,
|
279 |
+
"rstrip": false,
|
280 |
+
"single_word": false,
|
281 |
+
"special": true
|
282 |
+
},
|
283 |
+
"128035": {
|
284 |
+
"content": "<|reserved_special_token_30|>",
|
285 |
+
"lstrip": false,
|
286 |
+
"normalized": false,
|
287 |
+
"rstrip": false,
|
288 |
+
"single_word": false,
|
289 |
+
"special": true
|
290 |
+
},
|
291 |
+
"128036": {
|
292 |
+
"content": "<|reserved_special_token_31|>",
|
293 |
+
"lstrip": false,
|
294 |
+
"normalized": false,
|
295 |
+
"rstrip": false,
|
296 |
+
"single_word": false,
|
297 |
+
"special": true
|
298 |
+
},
|
299 |
+
"128037": {
|
300 |
+
"content": "<|reserved_special_token_32|>",
|
301 |
+
"lstrip": false,
|
302 |
+
"normalized": false,
|
303 |
+
"rstrip": false,
|
304 |
+
"single_word": false,
|
305 |
+
"special": true
|
306 |
+
},
|
307 |
+
"128038": {
|
308 |
+
"content": "<|reserved_special_token_33|>",
|
309 |
+
"lstrip": false,
|
310 |
+
"normalized": false,
|
311 |
+
"rstrip": false,
|
312 |
+
"single_word": false,
|
313 |
+
"special": true
|
314 |
+
},
|
315 |
+
"128039": {
|
316 |
+
"content": "<|reserved_special_token_34|>",
|
317 |
+
"lstrip": false,
|
318 |
+
"normalized": false,
|
319 |
+
"rstrip": false,
|
320 |
+
"single_word": false,
|
321 |
+
"special": true
|
322 |
+
},
|
323 |
+
"128040": {
|
324 |
+
"content": "<|reserved_special_token_35|>",
|
325 |
+
"lstrip": false,
|
326 |
+
"normalized": false,
|
327 |
+
"rstrip": false,
|
328 |
+
"single_word": false,
|
329 |
+
"special": true
|
330 |
+
},
|
331 |
+
"128041": {
|
332 |
+
"content": "<|reserved_special_token_36|>",
|
333 |
+
"lstrip": false,
|
334 |
+
"normalized": false,
|
335 |
+
"rstrip": false,
|
336 |
+
"single_word": false,
|
337 |
+
"special": true
|
338 |
+
},
|
339 |
+
"128042": {
|
340 |
+
"content": "<|reserved_special_token_37|>",
|
341 |
+
"lstrip": false,
|
342 |
+
"normalized": false,
|
343 |
+
"rstrip": false,
|
344 |
+
"single_word": false,
|
345 |
+
"special": true
|
346 |
+
},
|
347 |
+
"128043": {
|
348 |
+
"content": "<|reserved_special_token_38|>",
|
349 |
+
"lstrip": false,
|
350 |
+
"normalized": false,
|
351 |
+
"rstrip": false,
|
352 |
+
"single_word": false,
|
353 |
+
"special": true
|
354 |
+
},
|
355 |
+
"128044": {
|
356 |
+
"content": "<|reserved_special_token_39|>",
|
357 |
+
"lstrip": false,
|
358 |
+
"normalized": false,
|
359 |
+
"rstrip": false,
|
360 |
+
"single_word": false,
|
361 |
+
"special": true
|
362 |
+
},
|
363 |
+
"128045": {
|
364 |
+
"content": "<|reserved_special_token_40|>",
|
365 |
+
"lstrip": false,
|
366 |
+
"normalized": false,
|
367 |
+
"rstrip": false,
|
368 |
+
"single_word": false,
|
369 |
+
"special": true
|
370 |
+
},
|
371 |
+
"128046": {
|
372 |
+
"content": "<|reserved_special_token_41|>",
|
373 |
+
"lstrip": false,
|
374 |
+
"normalized": false,
|
375 |
+
"rstrip": false,
|
376 |
+
"single_word": false,
|
377 |
+
"special": true
|
378 |
+
},
|
379 |
+
"128047": {
|
380 |
+
"content": "<|reserved_special_token_42|>",
|
381 |
+
"lstrip": false,
|
382 |
+
"normalized": false,
|
383 |
+
"rstrip": false,
|
384 |
+
"single_word": false,
|
385 |
+
"special": true
|
386 |
+
},
|
387 |
+
"128048": {
|
388 |
+
"content": "<|reserved_special_token_43|>",
|
389 |
+
"lstrip": false,
|
390 |
+
"normalized": false,
|
391 |
+
"rstrip": false,
|
392 |
+
"single_word": false,
|
393 |
+
"special": true
|
394 |
+
},
|
395 |
+
"128049": {
|
396 |
+
"content": "<|reserved_special_token_44|>",
|
397 |
+
"lstrip": false,
|
398 |
+
"normalized": false,
|
399 |
+
"rstrip": false,
|
400 |
+
"single_word": false,
|
401 |
+
"special": true
|
402 |
+
},
|
403 |
+
"128050": {
|
404 |
+
"content": "<|reserved_special_token_45|>",
|
405 |
+
"lstrip": false,
|
406 |
+
"normalized": false,
|
407 |
+
"rstrip": false,
|
408 |
+
"single_word": false,
|
409 |
+
"special": true
|
410 |
+
},
|
411 |
+
"128051": {
|
412 |
+
"content": "<|reserved_special_token_46|>",
|
413 |
+
"lstrip": false,
|
414 |
+
"normalized": false,
|
415 |
+
"rstrip": false,
|
416 |
+
"single_word": false,
|
417 |
+
"special": true
|
418 |
+
},
|
419 |
+
"128052": {
|
420 |
+
"content": "<|reserved_special_token_47|>",
|
421 |
+
"lstrip": false,
|
422 |
+
"normalized": false,
|
423 |
+
"rstrip": false,
|
424 |
+
"single_word": false,
|
425 |
+
"special": true
|
426 |
+
},
|
427 |
+
"128053": {
|
428 |
+
"content": "<|reserved_special_token_48|>",
|
429 |
+
"lstrip": false,
|
430 |
+
"normalized": false,
|
431 |
+
"rstrip": false,
|
432 |
+
"single_word": false,
|
433 |
+
"special": true
|
434 |
+
},
|
435 |
+
"128054": {
|
436 |
+
"content": "<|reserved_special_token_49|>",
|
437 |
+
"lstrip": false,
|
438 |
+
"normalized": false,
|
439 |
+
"rstrip": false,
|
440 |
+
"single_word": false,
|
441 |
+
"special": true
|
442 |
+
},
|
443 |
+
"128055": {
|
444 |
+
"content": "<|reserved_special_token_50|>",
|
445 |
+
"lstrip": false,
|
446 |
+
"normalized": false,
|
447 |
+
"rstrip": false,
|
448 |
+
"single_word": false,
|
449 |
+
"special": true
|
450 |
+
},
|
451 |
+
"128056": {
|
452 |
+
"content": "<|reserved_special_token_51|>",
|
453 |
+
"lstrip": false,
|
454 |
+
"normalized": false,
|
455 |
+
"rstrip": false,
|
456 |
+
"single_word": false,
|
457 |
+
"special": true
|
458 |
+
},
|
459 |
+
"128057": {
|
460 |
+
"content": "<|reserved_special_token_52|>",
|
461 |
+
"lstrip": false,
|
462 |
+
"normalized": false,
|
463 |
+
"rstrip": false,
|
464 |
+
"single_word": false,
|
465 |
+
"special": true
|
466 |
+
},
|
467 |
+
"128058": {
|
468 |
+
"content": "<|reserved_special_token_53|>",
|
469 |
+
"lstrip": false,
|
470 |
+
"normalized": false,
|
471 |
+
"rstrip": false,
|
472 |
+
"single_word": false,
|
473 |
+
"special": true
|
474 |
+
},
|
475 |
+
"128059": {
|
476 |
+
"content": "<|reserved_special_token_54|>",
|
477 |
+
"lstrip": false,
|
478 |
+
"normalized": false,
|
479 |
+
"rstrip": false,
|
480 |
+
"single_word": false,
|
481 |
+
"special": true
|
482 |
+
},
|
483 |
+
"128060": {
|
484 |
+
"content": "<|reserved_special_token_55|>",
|
485 |
+
"lstrip": false,
|
486 |
+
"normalized": false,
|
487 |
+
"rstrip": false,
|
488 |
+
"single_word": false,
|
489 |
+
"special": true
|
490 |
+
},
|
491 |
+
"128061": {
|
492 |
+
"content": "<|reserved_special_token_56|>",
|
493 |
+
"lstrip": false,
|
494 |
+
"normalized": false,
|
495 |
+
"rstrip": false,
|
496 |
+
"single_word": false,
|
497 |
+
"special": true
|
498 |
+
},
|
499 |
+
"128062": {
|
500 |
+
"content": "<|reserved_special_token_57|>",
|
501 |
+
"lstrip": false,
|
502 |
+
"normalized": false,
|
503 |
+
"rstrip": false,
|
504 |
+
"single_word": false,
|
505 |
+
"special": true
|
506 |
+
},
|
507 |
+
"128063": {
|
508 |
+
"content": "<|reserved_special_token_58|>",
|
509 |
+
"lstrip": false,
|
510 |
+
"normalized": false,
|
511 |
+
"rstrip": false,
|
512 |
+
"single_word": false,
|
513 |
+
"special": true
|
514 |
+
},
|
515 |
+
"128064": {
|
516 |
+
"content": "<|reserved_special_token_59|>",
|
517 |
+
"lstrip": false,
|
518 |
+
"normalized": false,
|
519 |
+
"rstrip": false,
|
520 |
+
"single_word": false,
|
521 |
+
"special": true
|
522 |
+
},
|
523 |
+
"128065": {
|
524 |
+
"content": "<|reserved_special_token_60|>",
|
525 |
+
"lstrip": false,
|
526 |
+
"normalized": false,
|
527 |
+
"rstrip": false,
|
528 |
+
"single_word": false,
|
529 |
+
"special": true
|
530 |
+
},
|
531 |
+
"128066": {
|
532 |
+
"content": "<|reserved_special_token_61|>",
|
533 |
+
"lstrip": false,
|
534 |
+
"normalized": false,
|
535 |
+
"rstrip": false,
|
536 |
+
"single_word": false,
|
537 |
+
"special": true
|
538 |
+
},
|
539 |
+
"128067": {
|
540 |
+
"content": "<|reserved_special_token_62|>",
|
541 |
+
"lstrip": false,
|
542 |
+
"normalized": false,
|
543 |
+
"rstrip": false,
|
544 |
+
"single_word": false,
|
545 |
+
"special": true
|
546 |
+
},
|
547 |
+
"128068": {
|
548 |
+
"content": "<|reserved_special_token_63|>",
|
549 |
+
"lstrip": false,
|
550 |
+
"normalized": false,
|
551 |
+
"rstrip": false,
|
552 |
+
"single_word": false,
|
553 |
+
"special": true
|
554 |
+
},
|
555 |
+
"128069": {
|
556 |
+
"content": "<|reserved_special_token_64|>",
|
557 |
+
"lstrip": false,
|
558 |
+
"normalized": false,
|
559 |
+
"rstrip": false,
|
560 |
+
"single_word": false,
|
561 |
+
"special": true
|
562 |
+
},
|
563 |
+
"128070": {
|
564 |
+
"content": "<|reserved_special_token_65|>",
|
565 |
+
"lstrip": false,
|
566 |
+
"normalized": false,
|
567 |
+
"rstrip": false,
|
568 |
+
"single_word": false,
|
569 |
+
"special": true
|
570 |
+
},
|
571 |
+
"128071": {
|
572 |
+
"content": "<|reserved_special_token_66|>",
|
573 |
+
"lstrip": false,
|
574 |
+
"normalized": false,
|
575 |
+
"rstrip": false,
|
576 |
+
"single_word": false,
|
577 |
+
"special": true
|
578 |
+
},
|
579 |
+
"128072": {
|
580 |
+
"content": "<|reserved_special_token_67|>",
|
581 |
+
"lstrip": false,
|
582 |
+
"normalized": false,
|
583 |
+
"rstrip": false,
|
584 |
+
"single_word": false,
|
585 |
+
"special": true
|
586 |
+
},
|
587 |
+
"128073": {
|
588 |
+
"content": "<|reserved_special_token_68|>",
|
589 |
+
"lstrip": false,
|
590 |
+
"normalized": false,
|
591 |
+
"rstrip": false,
|
592 |
+
"single_word": false,
|
593 |
+
"special": true
|
594 |
+
},
|
595 |
+
"128074": {
|
596 |
+
"content": "<|reserved_special_token_69|>",
|
597 |
+
"lstrip": false,
|
598 |
+
"normalized": false,
|
599 |
+
"rstrip": false,
|
600 |
+
"single_word": false,
|
601 |
+
"special": true
|
602 |
+
},
|
603 |
+
"128075": {
|
604 |
+
"content": "<|reserved_special_token_70|>",
|
605 |
+
"lstrip": false,
|
606 |
+
"normalized": false,
|
607 |
+
"rstrip": false,
|
608 |
+
"single_word": false,
|
609 |
+
"special": true
|
610 |
+
},
|
611 |
+
"128076": {
|
612 |
+
"content": "<|reserved_special_token_71|>",
|
613 |
+
"lstrip": false,
|
614 |
+
"normalized": false,
|
615 |
+
"rstrip": false,
|
616 |
+
"single_word": false,
|
617 |
+
"special": true
|
618 |
+
},
|
619 |
+
"128077": {
|
620 |
+
"content": "<|reserved_special_token_72|>",
|
621 |
+
"lstrip": false,
|
622 |
+
"normalized": false,
|
623 |
+
"rstrip": false,
|
624 |
+
"single_word": false,
|
625 |
+
"special": true
|
626 |
+
},
|
627 |
+
"128078": {
|
628 |
+
"content": "<|reserved_special_token_73|>",
|
629 |
+
"lstrip": false,
|
630 |
+
"normalized": false,
|
631 |
+
"rstrip": false,
|
632 |
+
"single_word": false,
|
633 |
+
"special": true
|
634 |
+
},
|
635 |
+
"128079": {
|
636 |
+
"content": "<|reserved_special_token_74|>",
|
637 |
+
"lstrip": false,
|
638 |
+
"normalized": false,
|
639 |
+
"rstrip": false,
|
640 |
+
"single_word": false,
|
641 |
+
"special": true
|
642 |
+
},
|
643 |
+
"128080": {
|
644 |
+
"content": "<|reserved_special_token_75|>",
|
645 |
+
"lstrip": false,
|
646 |
+
"normalized": false,
|
647 |
+
"rstrip": false,
|
648 |
+
"single_word": false,
|
649 |
+
"special": true
|
650 |
+
},
|
651 |
+
"128081": {
|
652 |
+
"content": "<|reserved_special_token_76|>",
|
653 |
+
"lstrip": false,
|
654 |
+
"normalized": false,
|
655 |
+
"rstrip": false,
|
656 |
+
"single_word": false,
|
657 |
+
"special": true
|
658 |
+
},
|
659 |
+
"128082": {
|
660 |
+
"content": "<|reserved_special_token_77|>",
|
661 |
+
"lstrip": false,
|
662 |
+
"normalized": false,
|
663 |
+
"rstrip": false,
|
664 |
+
"single_word": false,
|
665 |
+
"special": true
|
666 |
+
},
|
667 |
+
"128083": {
|
668 |
+
"content": "<|reserved_special_token_78|>",
|
669 |
+
"lstrip": false,
|
670 |
+
"normalized": false,
|
671 |
+
"rstrip": false,
|
672 |
+
"single_word": false,
|
673 |
+
"special": true
|
674 |
+
},
|
675 |
+
"128084": {
|
676 |
+
"content": "<|reserved_special_token_79|>",
|
677 |
+
"lstrip": false,
|
678 |
+
"normalized": false,
|
679 |
+
"rstrip": false,
|
680 |
+
"single_word": false,
|
681 |
+
"special": true
|
682 |
+
},
|
683 |
+
"128085": {
|
684 |
+
"content": "<|reserved_special_token_80|>",
|
685 |
+
"lstrip": false,
|
686 |
+
"normalized": false,
|
687 |
+
"rstrip": false,
|
688 |
+
"single_word": false,
|
689 |
+
"special": true
|
690 |
+
},
|
691 |
+
"128086": {
|
692 |
+
"content": "<|reserved_special_token_81|>",
|
693 |
+
"lstrip": false,
|
694 |
+
"normalized": false,
|
695 |
+
"rstrip": false,
|
696 |
+
"single_word": false,
|
697 |
+
"special": true
|
698 |
+
},
|
699 |
+
"128087": {
|
700 |
+
"content": "<|reserved_special_token_82|>",
|
701 |
+
"lstrip": false,
|
702 |
+
"normalized": false,
|
703 |
+
"rstrip": false,
|
704 |
+
"single_word": false,
|
705 |
+
"special": true
|
706 |
+
},
|
707 |
+
"128088": {
|
708 |
+
"content": "<|reserved_special_token_83|>",
|
709 |
+
"lstrip": false,
|
710 |
+
"normalized": false,
|
711 |
+
"rstrip": false,
|
712 |
+
"single_word": false,
|
713 |
+
"special": true
|
714 |
+
},
|
715 |
+
"128089": {
|
716 |
+
"content": "<|reserved_special_token_84|>",
|
717 |
+
"lstrip": false,
|
718 |
+
"normalized": false,
|
719 |
+
"rstrip": false,
|
720 |
+
"single_word": false,
|
721 |
+
"special": true
|
722 |
+
},
|
723 |
+
"128090": {
|
724 |
+
"content": "<|reserved_special_token_85|>",
|
725 |
+
"lstrip": false,
|
726 |
+
"normalized": false,
|
727 |
+
"rstrip": false,
|
728 |
+
"single_word": false,
|
729 |
+
"special": true
|
730 |
+
},
|
731 |
+
"128091": {
|
732 |
+
"content": "<|reserved_special_token_86|>",
|
733 |
+
"lstrip": false,
|
734 |
+
"normalized": false,
|
735 |
+
"rstrip": false,
|
736 |
+
"single_word": false,
|
737 |
+
"special": true
|
738 |
+
},
|
739 |
+
"128092": {
|
740 |
+
"content": "<|reserved_special_token_87|>",
|
741 |
+
"lstrip": false,
|
742 |
+
"normalized": false,
|
743 |
+
"rstrip": false,
|
744 |
+
"single_word": false,
|
745 |
+
"special": true
|
746 |
+
},
|
747 |
+
"128093": {
|
748 |
+
"content": "<|reserved_special_token_88|>",
|
749 |
+
"lstrip": false,
|
750 |
+
"normalized": false,
|
751 |
+
"rstrip": false,
|
752 |
+
"single_word": false,
|
753 |
+
"special": true
|
754 |
+
},
|
755 |
+
"128094": {
|
756 |
+
"content": "<|reserved_special_token_89|>",
|
757 |
+
"lstrip": false,
|
758 |
+
"normalized": false,
|
759 |
+
"rstrip": false,
|
760 |
+
"single_word": false,
|
761 |
+
"special": true
|
762 |
+
},
|
763 |
+
"128095": {
|
764 |
+
"content": "<|reserved_special_token_90|>",
|
765 |
+
"lstrip": false,
|
766 |
+
"normalized": false,
|
767 |
+
"rstrip": false,
|
768 |
+
"single_word": false,
|
769 |
+
"special": true
|
770 |
+
},
|
771 |
+
"128096": {
|
772 |
+
"content": "<|reserved_special_token_91|>",
|
773 |
+
"lstrip": false,
|
774 |
+
"normalized": false,
|
775 |
+
"rstrip": false,
|
776 |
+
"single_word": false,
|
777 |
+
"special": true
|
778 |
+
},
|
779 |
+
"128097": {
|
780 |
+
"content": "<|reserved_special_token_92|>",
|
781 |
+
"lstrip": false,
|
782 |
+
"normalized": false,
|
783 |
+
"rstrip": false,
|
784 |
+
"single_word": false,
|
785 |
+
"special": true
|
786 |
+
},
|
787 |
+
"128098": {
|
788 |
+
"content": "<|reserved_special_token_93|>",
|
789 |
+
"lstrip": false,
|
790 |
+
"normalized": false,
|
791 |
+
"rstrip": false,
|
792 |
+
"single_word": false,
|
793 |
+
"special": true
|
794 |
+
},
|
795 |
+
"128099": {
|
796 |
+
"content": "<|reserved_special_token_94|>",
|
797 |
+
"lstrip": false,
|
798 |
+
"normalized": false,
|
799 |
+
"rstrip": false,
|
800 |
+
"single_word": false,
|
801 |
+
"special": true
|
802 |
+
},
|
803 |
+
"128100": {
|
804 |
+
"content": "<|reserved_special_token_95|>",
|
805 |
+
"lstrip": false,
|
806 |
+
"normalized": false,
|
807 |
+
"rstrip": false,
|
808 |
+
"single_word": false,
|
809 |
+
"special": true
|
810 |
+
},
|
811 |
+
"128101": {
|
812 |
+
"content": "<|reserved_special_token_96|>",
|
813 |
+
"lstrip": false,
|
814 |
+
"normalized": false,
|
815 |
+
"rstrip": false,
|
816 |
+
"single_word": false,
|
817 |
+
"special": true
|
818 |
+
},
|
819 |
+
"128102": {
|
820 |
+
"content": "<|reserved_special_token_97|>",
|
821 |
+
"lstrip": false,
|
822 |
+
"normalized": false,
|
823 |
+
"rstrip": false,
|
824 |
+
"single_word": false,
|
825 |
+
"special": true
|
826 |
+
},
|
827 |
+
"128103": {
|
828 |
+
"content": "<|reserved_special_token_98|>",
|
829 |
+
"lstrip": false,
|
830 |
+
"normalized": false,
|
831 |
+
"rstrip": false,
|
832 |
+
"single_word": false,
|
833 |
+
"special": true
|
834 |
+
},
|
835 |
+
"128104": {
|
836 |
+
"content": "<|reserved_special_token_99|>",
|
837 |
+
"lstrip": false,
|
838 |
+
"normalized": false,
|
839 |
+
"rstrip": false,
|
840 |
+
"single_word": false,
|
841 |
+
"special": true
|
842 |
+
},
|
843 |
+
"128105": {
|
844 |
+
"content": "<|reserved_special_token_100|>",
|
845 |
+
"lstrip": false,
|
846 |
+
"normalized": false,
|
847 |
+
"rstrip": false,
|
848 |
+
"single_word": false,
|
849 |
+
"special": true
|
850 |
+
},
|
851 |
+
"128106": {
|
852 |
+
"content": "<|reserved_special_token_101|>",
|
853 |
+
"lstrip": false,
|
854 |
+
"normalized": false,
|
855 |
+
"rstrip": false,
|
856 |
+
"single_word": false,
|
857 |
+
"special": true
|
858 |
+
},
|
859 |
+
"128107": {
|
860 |
+
"content": "<|reserved_special_token_102|>",
|
861 |
+
"lstrip": false,
|
862 |
+
"normalized": false,
|
863 |
+
"rstrip": false,
|
864 |
+
"single_word": false,
|
865 |
+
"special": true
|
866 |
+
},
|
867 |
+
"128108": {
|
868 |
+
"content": "<|reserved_special_token_103|>",
|
869 |
+
"lstrip": false,
|
870 |
+
"normalized": false,
|
871 |
+
"rstrip": false,
|
872 |
+
"single_word": false,
|
873 |
+
"special": true
|
874 |
+
},
|
875 |
+
"128109": {
|
876 |
+
"content": "<|reserved_special_token_104|>",
|
877 |
+
"lstrip": false,
|
878 |
+
"normalized": false,
|
879 |
+
"rstrip": false,
|
880 |
+
"single_word": false,
|
881 |
+
"special": true
|
882 |
+
},
|
883 |
+
"128110": {
|
884 |
+
"content": "<|reserved_special_token_105|>",
|
885 |
+
"lstrip": false,
|
886 |
+
"normalized": false,
|
887 |
+
"rstrip": false,
|
888 |
+
"single_word": false,
|
889 |
+
"special": true
|
890 |
+
},
|
891 |
+
"128111": {
|
892 |
+
"content": "<|reserved_special_token_106|>",
|
893 |
+
"lstrip": false,
|
894 |
+
"normalized": false,
|
895 |
+
"rstrip": false,
|
896 |
+
"single_word": false,
|
897 |
+
"special": true
|
898 |
+
},
|
899 |
+
"128112": {
|
900 |
+
"content": "<|reserved_special_token_107|>",
|
901 |
+
"lstrip": false,
|
902 |
+
"normalized": false,
|
903 |
+
"rstrip": false,
|
904 |
+
"single_word": false,
|
905 |
+
"special": true
|
906 |
+
},
|
907 |
+
"128113": {
|
908 |
+
"content": "<|reserved_special_token_108|>",
|
909 |
+
"lstrip": false,
|
910 |
+
"normalized": false,
|
911 |
+
"rstrip": false,
|
912 |
+
"single_word": false,
|
913 |
+
"special": true
|
914 |
+
},
|
915 |
+
"128114": {
|
916 |
+
"content": "<|reserved_special_token_109|>",
|
917 |
+
"lstrip": false,
|
918 |
+
"normalized": false,
|
919 |
+
"rstrip": false,
|
920 |
+
"single_word": false,
|
921 |
+
"special": true
|
922 |
+
},
|
923 |
+
"128115": {
|
924 |
+
"content": "<|reserved_special_token_110|>",
|
925 |
+
"lstrip": false,
|
926 |
+
"normalized": false,
|
927 |
+
"rstrip": false,
|
928 |
+
"single_word": false,
|
929 |
+
"special": true
|
930 |
+
},
|
931 |
+
"128116": {
|
932 |
+
"content": "<|reserved_special_token_111|>",
|
933 |
+
"lstrip": false,
|
934 |
+
"normalized": false,
|
935 |
+
"rstrip": false,
|
936 |
+
"single_word": false,
|
937 |
+
"special": true
|
938 |
+
},
|
939 |
+
"128117": {
|
940 |
+
"content": "<|reserved_special_token_112|>",
|
941 |
+
"lstrip": false,
|
942 |
+
"normalized": false,
|
943 |
+
"rstrip": false,
|
944 |
+
"single_word": false,
|
945 |
+
"special": true
|
946 |
+
},
|
947 |
+
"128118": {
|
948 |
+
"content": "<|reserved_special_token_113|>",
|
949 |
+
"lstrip": false,
|
950 |
+
"normalized": false,
|
951 |
+
"rstrip": false,
|
952 |
+
"single_word": false,
|
953 |
+
"special": true
|
954 |
+
},
|
955 |
+
"128119": {
|
956 |
+
"content": "<|reserved_special_token_114|>",
|
957 |
+
"lstrip": false,
|
958 |
+
"normalized": false,
|
959 |
+
"rstrip": false,
|
960 |
+
"single_word": false,
|
961 |
+
"special": true
|
962 |
+
},
|
963 |
+
"128120": {
|
964 |
+
"content": "<|reserved_special_token_115|>",
|
965 |
+
"lstrip": false,
|
966 |
+
"normalized": false,
|
967 |
+
"rstrip": false,
|
968 |
+
"single_word": false,
|
969 |
+
"special": true
|
970 |
+
},
|
971 |
+
"128121": {
|
972 |
+
"content": "<|reserved_special_token_116|>",
|
973 |
+
"lstrip": false,
|
974 |
+
"normalized": false,
|
975 |
+
"rstrip": false,
|
976 |
+
"single_word": false,
|
977 |
+
"special": true
|
978 |
+
},
|
979 |
+
"128122": {
|
980 |
+
"content": "<|reserved_special_token_117|>",
|
981 |
+
"lstrip": false,
|
982 |
+
"normalized": false,
|
983 |
+
"rstrip": false,
|
984 |
+
"single_word": false,
|
985 |
+
"special": true
|
986 |
+
},
|
987 |
+
"128123": {
|
988 |
+
"content": "<|reserved_special_token_118|>",
|
989 |
+
"lstrip": false,
|
990 |
+
"normalized": false,
|
991 |
+
"rstrip": false,
|
992 |
+
"single_word": false,
|
993 |
+
"special": true
|
994 |
+
},
|
995 |
+
"128124": {
|
996 |
+
"content": "<|reserved_special_token_119|>",
|
997 |
+
"lstrip": false,
|
998 |
+
"normalized": false,
|
999 |
+
"rstrip": false,
|
1000 |
+
"single_word": false,
|
1001 |
+
"special": true
|
1002 |
+
},
|
1003 |
+
"128125": {
|
1004 |
+
"content": "<|reserved_special_token_120|>",
|
1005 |
+
"lstrip": false,
|
1006 |
+
"normalized": false,
|
1007 |
+
"rstrip": false,
|
1008 |
+
"single_word": false,
|
1009 |
+
"special": true
|
1010 |
+
},
|
1011 |
+
"128126": {
|
1012 |
+
"content": "<|reserved_special_token_121|>",
|
1013 |
+
"lstrip": false,
|
1014 |
+
"normalized": false,
|
1015 |
+
"rstrip": false,
|
1016 |
+
"single_word": false,
|
1017 |
+
"special": true
|
1018 |
+
},
|
1019 |
+
"128127": {
|
1020 |
+
"content": "<|reserved_special_token_122|>",
|
1021 |
+
"lstrip": false,
|
1022 |
+
"normalized": false,
|
1023 |
+
"rstrip": false,
|
1024 |
+
"single_word": false,
|
1025 |
+
"special": true
|
1026 |
+
},
|
1027 |
+
"128128": {
|
1028 |
+
"content": "<|reserved_special_token_123|>",
|
1029 |
+
"lstrip": false,
|
1030 |
+
"normalized": false,
|
1031 |
+
"rstrip": false,
|
1032 |
+
"single_word": false,
|
1033 |
+
"special": true
|
1034 |
+
},
|
1035 |
+
"128129": {
|
1036 |
+
"content": "<|reserved_special_token_124|>",
|
1037 |
+
"lstrip": false,
|
1038 |
+
"normalized": false,
|
1039 |
+
"rstrip": false,
|
1040 |
+
"single_word": false,
|
1041 |
+
"special": true
|
1042 |
+
},
|
1043 |
+
"128130": {
|
1044 |
+
"content": "<|reserved_special_token_125|>",
|
1045 |
+
"lstrip": false,
|
1046 |
+
"normalized": false,
|
1047 |
+
"rstrip": false,
|
1048 |
+
"single_word": false,
|
1049 |
+
"special": true
|
1050 |
+
},
|
1051 |
+
"128131": {
|
1052 |
+
"content": "<|reserved_special_token_126|>",
|
1053 |
+
"lstrip": false,
|
1054 |
+
"normalized": false,
|
1055 |
+
"rstrip": false,
|
1056 |
+
"single_word": false,
|
1057 |
+
"special": true
|
1058 |
+
},
|
1059 |
+
"128132": {
|
1060 |
+
"content": "<|reserved_special_token_127|>",
|
1061 |
+
"lstrip": false,
|
1062 |
+
"normalized": false,
|
1063 |
+
"rstrip": false,
|
1064 |
+
"single_word": false,
|
1065 |
+
"special": true
|
1066 |
+
},
|
1067 |
+
"128133": {
|
1068 |
+
"content": "<|reserved_special_token_128|>",
|
1069 |
+
"lstrip": false,
|
1070 |
+
"normalized": false,
|
1071 |
+
"rstrip": false,
|
1072 |
+
"single_word": false,
|
1073 |
+
"special": true
|
1074 |
+
},
|
1075 |
+
"128134": {
|
1076 |
+
"content": "<|reserved_special_token_129|>",
|
1077 |
+
"lstrip": false,
|
1078 |
+
"normalized": false,
|
1079 |
+
"rstrip": false,
|
1080 |
+
"single_word": false,
|
1081 |
+
"special": true
|
1082 |
+
},
|
1083 |
+
"128135": {
|
1084 |
+
"content": "<|reserved_special_token_130|>",
|
1085 |
+
"lstrip": false,
|
1086 |
+
"normalized": false,
|
1087 |
+
"rstrip": false,
|
1088 |
+
"single_word": false,
|
1089 |
+
"special": true
|
1090 |
+
},
|
1091 |
+
"128136": {
|
1092 |
+
"content": "<|reserved_special_token_131|>",
|
1093 |
+
"lstrip": false,
|
1094 |
+
"normalized": false,
|
1095 |
+
"rstrip": false,
|
1096 |
+
"single_word": false,
|
1097 |
+
"special": true
|
1098 |
+
},
|
1099 |
+
"128137": {
|
1100 |
+
"content": "<|reserved_special_token_132|>",
|
1101 |
+
"lstrip": false,
|
1102 |
+
"normalized": false,
|
1103 |
+
"rstrip": false,
|
1104 |
+
"single_word": false,
|
1105 |
+
"special": true
|
1106 |
+
},
|
1107 |
+
"128138": {
|
1108 |
+
"content": "<|reserved_special_token_133|>",
|
1109 |
+
"lstrip": false,
|
1110 |
+
"normalized": false,
|
1111 |
+
"rstrip": false,
|
1112 |
+
"single_word": false,
|
1113 |
+
"special": true
|
1114 |
+
},
|
1115 |
+
"128139": {
|
1116 |
+
"content": "<|reserved_special_token_134|>",
|
1117 |
+
"lstrip": false,
|
1118 |
+
"normalized": false,
|
1119 |
+
"rstrip": false,
|
1120 |
+
"single_word": false,
|
1121 |
+
"special": true
|
1122 |
+
},
|
1123 |
+
"128140": {
|
1124 |
+
"content": "<|reserved_special_token_135|>",
|
1125 |
+
"lstrip": false,
|
1126 |
+
"normalized": false,
|
1127 |
+
"rstrip": false,
|
1128 |
+
"single_word": false,
|
1129 |
+
"special": true
|
1130 |
+
},
|
1131 |
+
"128141": {
|
1132 |
+
"content": "<|reserved_special_token_136|>",
|
1133 |
+
"lstrip": false,
|
1134 |
+
"normalized": false,
|
1135 |
+
"rstrip": false,
|
1136 |
+
"single_word": false,
|
1137 |
+
"special": true
|
1138 |
+
},
|
1139 |
+
"128142": {
|
1140 |
+
"content": "<|reserved_special_token_137|>",
|
1141 |
+
"lstrip": false,
|
1142 |
+
"normalized": false,
|
1143 |
+
"rstrip": false,
|
1144 |
+
"single_word": false,
|
1145 |
+
"special": true
|
1146 |
+
},
|
1147 |
+
"128143": {
|
1148 |
+
"content": "<|reserved_special_token_138|>",
|
1149 |
+
"lstrip": false,
|
1150 |
+
"normalized": false,
|
1151 |
+
"rstrip": false,
|
1152 |
+
"single_word": false,
|
1153 |
+
"special": true
|
1154 |
+
},
|
1155 |
+
"128144": {
|
1156 |
+
"content": "<|reserved_special_token_139|>",
|
1157 |
+
"lstrip": false,
|
1158 |
+
"normalized": false,
|
1159 |
+
"rstrip": false,
|
1160 |
+
"single_word": false,
|
1161 |
+
"special": true
|
1162 |
+
},
|
1163 |
+
"128145": {
|
1164 |
+
"content": "<|reserved_special_token_140|>",
|
1165 |
+
"lstrip": false,
|
1166 |
+
"normalized": false,
|
1167 |
+
"rstrip": false,
|
1168 |
+
"single_word": false,
|
1169 |
+
"special": true
|
1170 |
+
},
|
1171 |
+
"128146": {
|
1172 |
+
"content": "<|reserved_special_token_141|>",
|
1173 |
+
"lstrip": false,
|
1174 |
+
"normalized": false,
|
1175 |
+
"rstrip": false,
|
1176 |
+
"single_word": false,
|
1177 |
+
"special": true
|
1178 |
+
},
|
1179 |
+
"128147": {
|
1180 |
+
"content": "<|reserved_special_token_142|>",
|
1181 |
+
"lstrip": false,
|
1182 |
+
"normalized": false,
|
1183 |
+
"rstrip": false,
|
1184 |
+
"single_word": false,
|
1185 |
+
"special": true
|
1186 |
+
},
|
1187 |
+
"128148": {
|
1188 |
+
"content": "<|reserved_special_token_143|>",
|
1189 |
+
"lstrip": false,
|
1190 |
+
"normalized": false,
|
1191 |
+
"rstrip": false,
|
1192 |
+
"single_word": false,
|
1193 |
+
"special": true
|
1194 |
+
},
|
1195 |
+
"128149": {
|
1196 |
+
"content": "<|reserved_special_token_144|>",
|
1197 |
+
"lstrip": false,
|
1198 |
+
"normalized": false,
|
1199 |
+
"rstrip": false,
|
1200 |
+
"single_word": false,
|
1201 |
+
"special": true
|
1202 |
+
},
|
1203 |
+
"128150": {
|
1204 |
+
"content": "<|reserved_special_token_145|>",
|
1205 |
+
"lstrip": false,
|
1206 |
+
"normalized": false,
|
1207 |
+
"rstrip": false,
|
1208 |
+
"single_word": false,
|
1209 |
+
"special": true
|
1210 |
+
},
|
1211 |
+
"128151": {
|
1212 |
+
"content": "<|reserved_special_token_146|>",
|
1213 |
+
"lstrip": false,
|
1214 |
+
"normalized": false,
|
1215 |
+
"rstrip": false,
|
1216 |
+
"single_word": false,
|
1217 |
+
"special": true
|
1218 |
+
},
|
1219 |
+
"128152": {
|
1220 |
+
"content": "<|reserved_special_token_147|>",
|
1221 |
+
"lstrip": false,
|
1222 |
+
"normalized": false,
|
1223 |
+
"rstrip": false,
|
1224 |
+
"single_word": false,
|
1225 |
+
"special": true
|
1226 |
+
},
|
1227 |
+
"128153": {
|
1228 |
+
"content": "<|reserved_special_token_148|>",
|
1229 |
+
"lstrip": false,
|
1230 |
+
"normalized": false,
|
1231 |
+
"rstrip": false,
|
1232 |
+
"single_word": false,
|
1233 |
+
"special": true
|
1234 |
+
},
|
1235 |
+
"128154": {
|
1236 |
+
"content": "<|reserved_special_token_149|>",
|
1237 |
+
"lstrip": false,
|
1238 |
+
"normalized": false,
|
1239 |
+
"rstrip": false,
|
1240 |
+
"single_word": false,
|
1241 |
+
"special": true
|
1242 |
+
},
|
1243 |
+
"128155": {
|
1244 |
+
"content": "<|reserved_special_token_150|>",
|
1245 |
+
"lstrip": false,
|
1246 |
+
"normalized": false,
|
1247 |
+
"rstrip": false,
|
1248 |
+
"single_word": false,
|
1249 |
+
"special": true
|
1250 |
+
},
|
1251 |
+
"128156": {
|
1252 |
+
"content": "<|reserved_special_token_151|>",
|
1253 |
+
"lstrip": false,
|
1254 |
+
"normalized": false,
|
1255 |
+
"rstrip": false,
|
1256 |
+
"single_word": false,
|
1257 |
+
"special": true
|
1258 |
+
},
|
1259 |
+
"128157": {
|
1260 |
+
"content": "<|reserved_special_token_152|>",
|
1261 |
+
"lstrip": false,
|
1262 |
+
"normalized": false,
|
1263 |
+
"rstrip": false,
|
1264 |
+
"single_word": false,
|
1265 |
+
"special": true
|
1266 |
+
},
|
1267 |
+
"128158": {
|
1268 |
+
"content": "<|reserved_special_token_153|>",
|
1269 |
+
"lstrip": false,
|
1270 |
+
"normalized": false,
|
1271 |
+
"rstrip": false,
|
1272 |
+
"single_word": false,
|
1273 |
+
"special": true
|
1274 |
+
},
|
1275 |
+
"128159": {
|
1276 |
+
"content": "<|reserved_special_token_154|>",
|
1277 |
+
"lstrip": false,
|
1278 |
+
"normalized": false,
|
1279 |
+
"rstrip": false,
|
1280 |
+
"single_word": false,
|
1281 |
+
"special": true
|
1282 |
+
},
|
1283 |
+
"128160": {
|
1284 |
+
"content": "<|reserved_special_token_155|>",
|
1285 |
+
"lstrip": false,
|
1286 |
+
"normalized": false,
|
1287 |
+
"rstrip": false,
|
1288 |
+
"single_word": false,
|
1289 |
+
"special": true
|
1290 |
+
},
|
1291 |
+
"128161": {
|
1292 |
+
"content": "<|reserved_special_token_156|>",
|
1293 |
+
"lstrip": false,
|
1294 |
+
"normalized": false,
|
1295 |
+
"rstrip": false,
|
1296 |
+
"single_word": false,
|
1297 |
+
"special": true
|
1298 |
+
},
|
1299 |
+
"128162": {
|
1300 |
+
"content": "<|reserved_special_token_157|>",
|
1301 |
+
"lstrip": false,
|
1302 |
+
"normalized": false,
|
1303 |
+
"rstrip": false,
|
1304 |
+
"single_word": false,
|
1305 |
+
"special": true
|
1306 |
+
},
|
1307 |
+
"128163": {
|
1308 |
+
"content": "<|reserved_special_token_158|>",
|
1309 |
+
"lstrip": false,
|
1310 |
+
"normalized": false,
|
1311 |
+
"rstrip": false,
|
1312 |
+
"single_word": false,
|
1313 |
+
"special": true
|
1314 |
+
},
|
1315 |
+
"128164": {
|
1316 |
+
"content": "<|reserved_special_token_159|>",
|
1317 |
+
"lstrip": false,
|
1318 |
+
"normalized": false,
|
1319 |
+
"rstrip": false,
|
1320 |
+
"single_word": false,
|
1321 |
+
"special": true
|
1322 |
+
},
|
1323 |
+
"128165": {
|
1324 |
+
"content": "<|reserved_special_token_160|>",
|
1325 |
+
"lstrip": false,
|
1326 |
+
"normalized": false,
|
1327 |
+
"rstrip": false,
|
1328 |
+
"single_word": false,
|
1329 |
+
"special": true
|
1330 |
+
},
|
1331 |
+
"128166": {
|
1332 |
+
"content": "<|reserved_special_token_161|>",
|
1333 |
+
"lstrip": false,
|
1334 |
+
"normalized": false,
|
1335 |
+
"rstrip": false,
|
1336 |
+
"single_word": false,
|
1337 |
+
"special": true
|
1338 |
+
},
|
1339 |
+
"128167": {
|
1340 |
+
"content": "<|reserved_special_token_162|>",
|
1341 |
+
"lstrip": false,
|
1342 |
+
"normalized": false,
|
1343 |
+
"rstrip": false,
|
1344 |
+
"single_word": false,
|
1345 |
+
"special": true
|
1346 |
+
},
|
1347 |
+
"128168": {
|
1348 |
+
"content": "<|reserved_special_token_163|>",
|
1349 |
+
"lstrip": false,
|
1350 |
+
"normalized": false,
|
1351 |
+
"rstrip": false,
|
1352 |
+
"single_word": false,
|
1353 |
+
"special": true
|
1354 |
+
},
|
1355 |
+
"128169": {
|
1356 |
+
"content": "<|reserved_special_token_164|>",
|
1357 |
+
"lstrip": false,
|
1358 |
+
"normalized": false,
|
1359 |
+
"rstrip": false,
|
1360 |
+
"single_word": false,
|
1361 |
+
"special": true
|
1362 |
+
},
|
1363 |
+
"128170": {
|
1364 |
+
"content": "<|reserved_special_token_165|>",
|
1365 |
+
"lstrip": false,
|
1366 |
+
"normalized": false,
|
1367 |
+
"rstrip": false,
|
1368 |
+
"single_word": false,
|
1369 |
+
"special": true
|
1370 |
+
},
|
1371 |
+
"128171": {
|
1372 |
+
"content": "<|reserved_special_token_166|>",
|
1373 |
+
"lstrip": false,
|
1374 |
+
"normalized": false,
|
1375 |
+
"rstrip": false,
|
1376 |
+
"single_word": false,
|
1377 |
+
"special": true
|
1378 |
+
},
|
1379 |
+
"128172": {
|
1380 |
+
"content": "<|reserved_special_token_167|>",
|
1381 |
+
"lstrip": false,
|
1382 |
+
"normalized": false,
|
1383 |
+
"rstrip": false,
|
1384 |
+
"single_word": false,
|
1385 |
+
"special": true
|
1386 |
+
},
|
1387 |
+
"128173": {
|
1388 |
+
"content": "<|reserved_special_token_168|>",
|
1389 |
+
"lstrip": false,
|
1390 |
+
"normalized": false,
|
1391 |
+
"rstrip": false,
|
1392 |
+
"single_word": false,
|
1393 |
+
"special": true
|
1394 |
+
},
|
1395 |
+
"128174": {
|
1396 |
+
"content": "<|reserved_special_token_169|>",
|
1397 |
+
"lstrip": false,
|
1398 |
+
"normalized": false,
|
1399 |
+
"rstrip": false,
|
1400 |
+
"single_word": false,
|
1401 |
+
"special": true
|
1402 |
+
},
|
1403 |
+
"128175": {
|
1404 |
+
"content": "<|reserved_special_token_170|>",
|
1405 |
+
"lstrip": false,
|
1406 |
+
"normalized": false,
|
1407 |
+
"rstrip": false,
|
1408 |
+
"single_word": false,
|
1409 |
+
"special": true
|
1410 |
+
},
|
1411 |
+
"128176": {
|
1412 |
+
"content": "<|reserved_special_token_171|>",
|
1413 |
+
"lstrip": false,
|
1414 |
+
"normalized": false,
|
1415 |
+
"rstrip": false,
|
1416 |
+
"single_word": false,
|
1417 |
+
"special": true
|
1418 |
+
},
|
1419 |
+
"128177": {
|
1420 |
+
"content": "<|reserved_special_token_172|>",
|
1421 |
+
"lstrip": false,
|
1422 |
+
"normalized": false,
|
1423 |
+
"rstrip": false,
|
1424 |
+
"single_word": false,
|
1425 |
+
"special": true
|
1426 |
+
},
|
1427 |
+
"128178": {
|
1428 |
+
"content": "<|reserved_special_token_173|>",
|
1429 |
+
"lstrip": false,
|
1430 |
+
"normalized": false,
|
1431 |
+
"rstrip": false,
|
1432 |
+
"single_word": false,
|
1433 |
+
"special": true
|
1434 |
+
},
|
1435 |
+
"128179": {
|
1436 |
+
"content": "<|reserved_special_token_174|>",
|
1437 |
+
"lstrip": false,
|
1438 |
+
"normalized": false,
|
1439 |
+
"rstrip": false,
|
1440 |
+
"single_word": false,
|
1441 |
+
"special": true
|
1442 |
+
},
|
1443 |
+
"128180": {
|
1444 |
+
"content": "<|reserved_special_token_175|>",
|
1445 |
+
"lstrip": false,
|
1446 |
+
"normalized": false,
|
1447 |
+
"rstrip": false,
|
1448 |
+
"single_word": false,
|
1449 |
+
"special": true
|
1450 |
+
},
|
1451 |
+
"128181": {
|
1452 |
+
"content": "<|reserved_special_token_176|>",
|
1453 |
+
"lstrip": false,
|
1454 |
+
"normalized": false,
|
1455 |
+
"rstrip": false,
|
1456 |
+
"single_word": false,
|
1457 |
+
"special": true
|
1458 |
+
},
|
1459 |
+
"128182": {
|
1460 |
+
"content": "<|reserved_special_token_177|>",
|
1461 |
+
"lstrip": false,
|
1462 |
+
"normalized": false,
|
1463 |
+
"rstrip": false,
|
1464 |
+
"single_word": false,
|
1465 |
+
"special": true
|
1466 |
+
},
|
1467 |
+
"128183": {
|
1468 |
+
"content": "<|reserved_special_token_178|>",
|
1469 |
+
"lstrip": false,
|
1470 |
+
"normalized": false,
|
1471 |
+
"rstrip": false,
|
1472 |
+
"single_word": false,
|
1473 |
+
"special": true
|
1474 |
+
},
|
1475 |
+
"128184": {
|
1476 |
+
"content": "<|reserved_special_token_179|>",
|
1477 |
+
"lstrip": false,
|
1478 |
+
"normalized": false,
|
1479 |
+
"rstrip": false,
|
1480 |
+
"single_word": false,
|
1481 |
+
"special": true
|
1482 |
+
},
|
1483 |
+
"128185": {
|
1484 |
+
"content": "<|reserved_special_token_180|>",
|
1485 |
+
"lstrip": false,
|
1486 |
+
"normalized": false,
|
1487 |
+
"rstrip": false,
|
1488 |
+
"single_word": false,
|
1489 |
+
"special": true
|
1490 |
+
},
|
1491 |
+
"128186": {
|
1492 |
+
"content": "<|reserved_special_token_181|>",
|
1493 |
+
"lstrip": false,
|
1494 |
+
"normalized": false,
|
1495 |
+
"rstrip": false,
|
1496 |
+
"single_word": false,
|
1497 |
+
"special": true
|
1498 |
+
},
|
1499 |
+
"128187": {
|
1500 |
+
"content": "<|reserved_special_token_182|>",
|
1501 |
+
"lstrip": false,
|
1502 |
+
"normalized": false,
|
1503 |
+
"rstrip": false,
|
1504 |
+
"single_word": false,
|
1505 |
+
"special": true
|
1506 |
+
},
|
1507 |
+
"128188": {
|
1508 |
+
"content": "<|reserved_special_token_183|>",
|
1509 |
+
"lstrip": false,
|
1510 |
+
"normalized": false,
|
1511 |
+
"rstrip": false,
|
1512 |
+
"single_word": false,
|
1513 |
+
"special": true
|
1514 |
+
},
|
1515 |
+
"128189": {
|
1516 |
+
"content": "<|reserved_special_token_184|>",
|
1517 |
+
"lstrip": false,
|
1518 |
+
"normalized": false,
|
1519 |
+
"rstrip": false,
|
1520 |
+
"single_word": false,
|
1521 |
+
"special": true
|
1522 |
+
},
|
1523 |
+
"128190": {
|
1524 |
+
"content": "<|reserved_special_token_185|>",
|
1525 |
+
"lstrip": false,
|
1526 |
+
"normalized": false,
|
1527 |
+
"rstrip": false,
|
1528 |
+
"single_word": false,
|
1529 |
+
"special": true
|
1530 |
+
},
|
1531 |
+
"128191": {
|
1532 |
+
"content": "<|reserved_special_token_186|>",
|
1533 |
+
"lstrip": false,
|
1534 |
+
"normalized": false,
|
1535 |
+
"rstrip": false,
|
1536 |
+
"single_word": false,
|
1537 |
+
"special": true
|
1538 |
+
},
|
1539 |
+
"128192": {
|
1540 |
+
"content": "<|reserved_special_token_187|>",
|
1541 |
+
"lstrip": false,
|
1542 |
+
"normalized": false,
|
1543 |
+
"rstrip": false,
|
1544 |
+
"single_word": false,
|
1545 |
+
"special": true
|
1546 |
+
},
|
1547 |
+
"128193": {
|
1548 |
+
"content": "<|reserved_special_token_188|>",
|
1549 |
+
"lstrip": false,
|
1550 |
+
"normalized": false,
|
1551 |
+
"rstrip": false,
|
1552 |
+
"single_word": false,
|
1553 |
+
"special": true
|
1554 |
+
},
|
1555 |
+
"128194": {
|
1556 |
+
"content": "<|reserved_special_token_189|>",
|
1557 |
+
"lstrip": false,
|
1558 |
+
"normalized": false,
|
1559 |
+
"rstrip": false,
|
1560 |
+
"single_word": false,
|
1561 |
+
"special": true
|
1562 |
+
},
|
1563 |
+
"128195": {
|
1564 |
+
"content": "<|reserved_special_token_190|>",
|
1565 |
+
"lstrip": false,
|
1566 |
+
"normalized": false,
|
1567 |
+
"rstrip": false,
|
1568 |
+
"single_word": false,
|
1569 |
+
"special": true
|
1570 |
+
},
|
1571 |
+
"128196": {
|
1572 |
+
"content": "<|reserved_special_token_191|>",
|
1573 |
+
"lstrip": false,
|
1574 |
+
"normalized": false,
|
1575 |
+
"rstrip": false,
|
1576 |
+
"single_word": false,
|
1577 |
+
"special": true
|
1578 |
+
},
|
1579 |
+
"128197": {
|
1580 |
+
"content": "<|reserved_special_token_192|>",
|
1581 |
+
"lstrip": false,
|
1582 |
+
"normalized": false,
|
1583 |
+
"rstrip": false,
|
1584 |
+
"single_word": false,
|
1585 |
+
"special": true
|
1586 |
+
},
|
1587 |
+
"128198": {
|
1588 |
+
"content": "<|reserved_special_token_193|>",
|
1589 |
+
"lstrip": false,
|
1590 |
+
"normalized": false,
|
1591 |
+
"rstrip": false,
|
1592 |
+
"single_word": false,
|
1593 |
+
"special": true
|
1594 |
+
},
|
1595 |
+
"128199": {
|
1596 |
+
"content": "<|reserved_special_token_194|>",
|
1597 |
+
"lstrip": false,
|
1598 |
+
"normalized": false,
|
1599 |
+
"rstrip": false,
|
1600 |
+
"single_word": false,
|
1601 |
+
"special": true
|
1602 |
+
},
|
1603 |
+
"128200": {
|
1604 |
+
"content": "<|reserved_special_token_195|>",
|
1605 |
+
"lstrip": false,
|
1606 |
+
"normalized": false,
|
1607 |
+
"rstrip": false,
|
1608 |
+
"single_word": false,
|
1609 |
+
"special": true
|
1610 |
+
},
|
1611 |
+
"128201": {
|
1612 |
+
"content": "<|reserved_special_token_196|>",
|
1613 |
+
"lstrip": false,
|
1614 |
+
"normalized": false,
|
1615 |
+
"rstrip": false,
|
1616 |
+
"single_word": false,
|
1617 |
+
"special": true
|
1618 |
+
},
|
1619 |
+
"128202": {
|
1620 |
+
"content": "<|reserved_special_token_197|>",
|
1621 |
+
"lstrip": false,
|
1622 |
+
"normalized": false,
|
1623 |
+
"rstrip": false,
|
1624 |
+
"single_word": false,
|
1625 |
+
"special": true
|
1626 |
+
},
|
1627 |
+
"128203": {
|
1628 |
+
"content": "<|reserved_special_token_198|>",
|
1629 |
+
"lstrip": false,
|
1630 |
+
"normalized": false,
|
1631 |
+
"rstrip": false,
|
1632 |
+
"single_word": false,
|
1633 |
+
"special": true
|
1634 |
+
},
|
1635 |
+
"128204": {
|
1636 |
+
"content": "<|reserved_special_token_199|>",
|
1637 |
+
"lstrip": false,
|
1638 |
+
"normalized": false,
|
1639 |
+
"rstrip": false,
|
1640 |
+
"single_word": false,
|
1641 |
+
"special": true
|
1642 |
+
},
|
1643 |
+
"128205": {
|
1644 |
+
"content": "<|reserved_special_token_200|>",
|
1645 |
+
"lstrip": false,
|
1646 |
+
"normalized": false,
|
1647 |
+
"rstrip": false,
|
1648 |
+
"single_word": false,
|
1649 |
+
"special": true
|
1650 |
+
},
|
1651 |
+
"128206": {
|
1652 |
+
"content": "<|reserved_special_token_201|>",
|
1653 |
+
"lstrip": false,
|
1654 |
+
"normalized": false,
|
1655 |
+
"rstrip": false,
|
1656 |
+
"single_word": false,
|
1657 |
+
"special": true
|
1658 |
+
},
|
1659 |
+
"128207": {
|
1660 |
+
"content": "<|reserved_special_token_202|>",
|
1661 |
+
"lstrip": false,
|
1662 |
+
"normalized": false,
|
1663 |
+
"rstrip": false,
|
1664 |
+
"single_word": false,
|
1665 |
+
"special": true
|
1666 |
+
},
|
1667 |
+
"128208": {
|
1668 |
+
"content": "<|reserved_special_token_203|>",
|
1669 |
+
"lstrip": false,
|
1670 |
+
"normalized": false,
|
1671 |
+
"rstrip": false,
|
1672 |
+
"single_word": false,
|
1673 |
+
"special": true
|
1674 |
+
},
|
1675 |
+
"128209": {
|
1676 |
+
"content": "<|reserved_special_token_204|>",
|
1677 |
+
"lstrip": false,
|
1678 |
+
"normalized": false,
|
1679 |
+
"rstrip": false,
|
1680 |
+
"single_word": false,
|
1681 |
+
"special": true
|
1682 |
+
},
|
1683 |
+
"128210": {
|
1684 |
+
"content": "<|reserved_special_token_205|>",
|
1685 |
+
"lstrip": false,
|
1686 |
+
"normalized": false,
|
1687 |
+
"rstrip": false,
|
1688 |
+
"single_word": false,
|
1689 |
+
"special": true
|
1690 |
+
},
|
1691 |
+
"128211": {
|
1692 |
+
"content": "<|reserved_special_token_206|>",
|
1693 |
+
"lstrip": false,
|
1694 |
+
"normalized": false,
|
1695 |
+
"rstrip": false,
|
1696 |
+
"single_word": false,
|
1697 |
+
"special": true
|
1698 |
+
},
|
1699 |
+
"128212": {
|
1700 |
+
"content": "<|reserved_special_token_207|>",
|
1701 |
+
"lstrip": false,
|
1702 |
+
"normalized": false,
|
1703 |
+
"rstrip": false,
|
1704 |
+
"single_word": false,
|
1705 |
+
"special": true
|
1706 |
+
},
|
1707 |
+
"128213": {
|
1708 |
+
"content": "<|reserved_special_token_208|>",
|
1709 |
+
"lstrip": false,
|
1710 |
+
"normalized": false,
|
1711 |
+
"rstrip": false,
|
1712 |
+
"single_word": false,
|
1713 |
+
"special": true
|
1714 |
+
},
|
1715 |
+
"128214": {
|
1716 |
+
"content": "<|reserved_special_token_209|>",
|
1717 |
+
"lstrip": false,
|
1718 |
+
"normalized": false,
|
1719 |
+
"rstrip": false,
|
1720 |
+
"single_word": false,
|
1721 |
+
"special": true
|
1722 |
+
},
|
1723 |
+
"128215": {
|
1724 |
+
"content": "<|reserved_special_token_210|>",
|
1725 |
+
"lstrip": false,
|
1726 |
+
"normalized": false,
|
1727 |
+
"rstrip": false,
|
1728 |
+
"single_word": false,
|
1729 |
+
"special": true
|
1730 |
+
},
|
1731 |
+
"128216": {
|
1732 |
+
"content": "<|reserved_special_token_211|>",
|
1733 |
+
"lstrip": false,
|
1734 |
+
"normalized": false,
|
1735 |
+
"rstrip": false,
|
1736 |
+
"single_word": false,
|
1737 |
+
"special": true
|
1738 |
+
},
|
1739 |
+
"128217": {
|
1740 |
+
"content": "<|reserved_special_token_212|>",
|
1741 |
+
"lstrip": false,
|
1742 |
+
"normalized": false,
|
1743 |
+
"rstrip": false,
|
1744 |
+
"single_word": false,
|
1745 |
+
"special": true
|
1746 |
+
},
|
1747 |
+
"128218": {
|
1748 |
+
"content": "<|reserved_special_token_213|>",
|
1749 |
+
"lstrip": false,
|
1750 |
+
"normalized": false,
|
1751 |
+
"rstrip": false,
|
1752 |
+
"single_word": false,
|
1753 |
+
"special": true
|
1754 |
+
},
|
1755 |
+
"128219": {
|
1756 |
+
"content": "<|reserved_special_token_214|>",
|
1757 |
+
"lstrip": false,
|
1758 |
+
"normalized": false,
|
1759 |
+
"rstrip": false,
|
1760 |
+
"single_word": false,
|
1761 |
+
"special": true
|
1762 |
+
},
|
1763 |
+
"128220": {
|
1764 |
+
"content": "<|reserved_special_token_215|>",
|
1765 |
+
"lstrip": false,
|
1766 |
+
"normalized": false,
|
1767 |
+
"rstrip": false,
|
1768 |
+
"single_word": false,
|
1769 |
+
"special": true
|
1770 |
+
},
|
1771 |
+
"128221": {
|
1772 |
+
"content": "<|reserved_special_token_216|>",
|
1773 |
+
"lstrip": false,
|
1774 |
+
"normalized": false,
|
1775 |
+
"rstrip": false,
|
1776 |
+
"single_word": false,
|
1777 |
+
"special": true
|
1778 |
+
},
|
1779 |
+
"128222": {
|
1780 |
+
"content": "<|reserved_special_token_217|>",
|
1781 |
+
"lstrip": false,
|
1782 |
+
"normalized": false,
|
1783 |
+
"rstrip": false,
|
1784 |
+
"single_word": false,
|
1785 |
+
"special": true
|
1786 |
+
},
|
1787 |
+
"128223": {
|
1788 |
+
"content": "<|reserved_special_token_218|>",
|
1789 |
+
"lstrip": false,
|
1790 |
+
"normalized": false,
|
1791 |
+
"rstrip": false,
|
1792 |
+
"single_word": false,
|
1793 |
+
"special": true
|
1794 |
+
},
|
1795 |
+
"128224": {
|
1796 |
+
"content": "<|reserved_special_token_219|>",
|
1797 |
+
"lstrip": false,
|
1798 |
+
"normalized": false,
|
1799 |
+
"rstrip": false,
|
1800 |
+
"single_word": false,
|
1801 |
+
"special": true
|
1802 |
+
},
|
1803 |
+
"128225": {
|
1804 |
+
"content": "<|reserved_special_token_220|>",
|
1805 |
+
"lstrip": false,
|
1806 |
+
"normalized": false,
|
1807 |
+
"rstrip": false,
|
1808 |
+
"single_word": false,
|
1809 |
+
"special": true
|
1810 |
+
},
|
1811 |
+
"128226": {
|
1812 |
+
"content": "<|reserved_special_token_221|>",
|
1813 |
+
"lstrip": false,
|
1814 |
+
"normalized": false,
|
1815 |
+
"rstrip": false,
|
1816 |
+
"single_word": false,
|
1817 |
+
"special": true
|
1818 |
+
},
|
1819 |
+
"128227": {
|
1820 |
+
"content": "<|reserved_special_token_222|>",
|
1821 |
+
"lstrip": false,
|
1822 |
+
"normalized": false,
|
1823 |
+
"rstrip": false,
|
1824 |
+
"single_word": false,
|
1825 |
+
"special": true
|
1826 |
+
},
|
1827 |
+
"128228": {
|
1828 |
+
"content": "<|reserved_special_token_223|>",
|
1829 |
+
"lstrip": false,
|
1830 |
+
"normalized": false,
|
1831 |
+
"rstrip": false,
|
1832 |
+
"single_word": false,
|
1833 |
+
"special": true
|
1834 |
+
},
|
1835 |
+
"128229": {
|
1836 |
+
"content": "<|reserved_special_token_224|>",
|
1837 |
+
"lstrip": false,
|
1838 |
+
"normalized": false,
|
1839 |
+
"rstrip": false,
|
1840 |
+
"single_word": false,
|
1841 |
+
"special": true
|
1842 |
+
},
|
1843 |
+
"128230": {
|
1844 |
+
"content": "<|reserved_special_token_225|>",
|
1845 |
+
"lstrip": false,
|
1846 |
+
"normalized": false,
|
1847 |
+
"rstrip": false,
|
1848 |
+
"single_word": false,
|
1849 |
+
"special": true
|
1850 |
+
},
|
1851 |
+
"128231": {
|
1852 |
+
"content": "<|reserved_special_token_226|>",
|
1853 |
+
"lstrip": false,
|
1854 |
+
"normalized": false,
|
1855 |
+
"rstrip": false,
|
1856 |
+
"single_word": false,
|
1857 |
+
"special": true
|
1858 |
+
},
|
1859 |
+
"128232": {
|
1860 |
+
"content": "<|reserved_special_token_227|>",
|
1861 |
+
"lstrip": false,
|
1862 |
+
"normalized": false,
|
1863 |
+
"rstrip": false,
|
1864 |
+
"single_word": false,
|
1865 |
+
"special": true
|
1866 |
+
},
|
1867 |
+
"128233": {
|
1868 |
+
"content": "<|reserved_special_token_228|>",
|
1869 |
+
"lstrip": false,
|
1870 |
+
"normalized": false,
|
1871 |
+
"rstrip": false,
|
1872 |
+
"single_word": false,
|
1873 |
+
"special": true
|
1874 |
+
},
|
1875 |
+
"128234": {
|
1876 |
+
"content": "<|reserved_special_token_229|>",
|
1877 |
+
"lstrip": false,
|
1878 |
+
"normalized": false,
|
1879 |
+
"rstrip": false,
|
1880 |
+
"single_word": false,
|
1881 |
+
"special": true
|
1882 |
+
},
|
1883 |
+
"128235": {
|
1884 |
+
"content": "<|reserved_special_token_230|>",
|
1885 |
+
"lstrip": false,
|
1886 |
+
"normalized": false,
|
1887 |
+
"rstrip": false,
|
1888 |
+
"single_word": false,
|
1889 |
+
"special": true
|
1890 |
+
},
|
1891 |
+
"128236": {
|
1892 |
+
"content": "<|reserved_special_token_231|>",
|
1893 |
+
"lstrip": false,
|
1894 |
+
"normalized": false,
|
1895 |
+
"rstrip": false,
|
1896 |
+
"single_word": false,
|
1897 |
+
"special": true
|
1898 |
+
},
|
1899 |
+
"128237": {
|
1900 |
+
"content": "<|reserved_special_token_232|>",
|
1901 |
+
"lstrip": false,
|
1902 |
+
"normalized": false,
|
1903 |
+
"rstrip": false,
|
1904 |
+
"single_word": false,
|
1905 |
+
"special": true
|
1906 |
+
},
|
1907 |
+
"128238": {
|
1908 |
+
"content": "<|reserved_special_token_233|>",
|
1909 |
+
"lstrip": false,
|
1910 |
+
"normalized": false,
|
1911 |
+
"rstrip": false,
|
1912 |
+
"single_word": false,
|
1913 |
+
"special": true
|
1914 |
+
},
|
1915 |
+
"128239": {
|
1916 |
+
"content": "<|reserved_special_token_234|>",
|
1917 |
+
"lstrip": false,
|
1918 |
+
"normalized": false,
|
1919 |
+
"rstrip": false,
|
1920 |
+
"single_word": false,
|
1921 |
+
"special": true
|
1922 |
+
},
|
1923 |
+
"128240": {
|
1924 |
+
"content": "<|reserved_special_token_235|>",
|
1925 |
+
"lstrip": false,
|
1926 |
+
"normalized": false,
|
1927 |
+
"rstrip": false,
|
1928 |
+
"single_word": false,
|
1929 |
+
"special": true
|
1930 |
+
},
|
1931 |
+
"128241": {
|
1932 |
+
"content": "<|reserved_special_token_236|>",
|
1933 |
+
"lstrip": false,
|
1934 |
+
"normalized": false,
|
1935 |
+
"rstrip": false,
|
1936 |
+
"single_word": false,
|
1937 |
+
"special": true
|
1938 |
+
},
|
1939 |
+
"128242": {
|
1940 |
+
"content": "<|reserved_special_token_237|>",
|
1941 |
+
"lstrip": false,
|
1942 |
+
"normalized": false,
|
1943 |
+
"rstrip": false,
|
1944 |
+
"single_word": false,
|
1945 |
+
"special": true
|
1946 |
+
},
|
1947 |
+
"128243": {
|
1948 |
+
"content": "<|reserved_special_token_238|>",
|
1949 |
+
"lstrip": false,
|
1950 |
+
"normalized": false,
|
1951 |
+
"rstrip": false,
|
1952 |
+
"single_word": false,
|
1953 |
+
"special": true
|
1954 |
+
},
|
1955 |
+
"128244": {
|
1956 |
+
"content": "<|reserved_special_token_239|>",
|
1957 |
+
"lstrip": false,
|
1958 |
+
"normalized": false,
|
1959 |
+
"rstrip": false,
|
1960 |
+
"single_word": false,
|
1961 |
+
"special": true
|
1962 |
+
},
|
1963 |
+
"128245": {
|
1964 |
+
"content": "<|reserved_special_token_240|>",
|
1965 |
+
"lstrip": false,
|
1966 |
+
"normalized": false,
|
1967 |
+
"rstrip": false,
|
1968 |
+
"single_word": false,
|
1969 |
+
"special": true
|
1970 |
+
},
|
1971 |
+
"128246": {
|
1972 |
+
"content": "<|reserved_special_token_241|>",
|
1973 |
+
"lstrip": false,
|
1974 |
+
"normalized": false,
|
1975 |
+
"rstrip": false,
|
1976 |
+
"single_word": false,
|
1977 |
+
"special": true
|
1978 |
+
},
|
1979 |
+
"128247": {
|
1980 |
+
"content": "<|reserved_special_token_242|>",
|
1981 |
+
"lstrip": false,
|
1982 |
+
"normalized": false,
|
1983 |
+
"rstrip": false,
|
1984 |
+
"single_word": false,
|
1985 |
+
"special": true
|
1986 |
+
},
|
1987 |
+
"128248": {
|
1988 |
+
"content": "<|reserved_special_token_243|>",
|
1989 |
+
"lstrip": false,
|
1990 |
+
"normalized": false,
|
1991 |
+
"rstrip": false,
|
1992 |
+
"single_word": false,
|
1993 |
+
"special": true
|
1994 |
+
},
|
1995 |
+
"128249": {
|
1996 |
+
"content": "<|reserved_special_token_244|>",
|
1997 |
+
"lstrip": false,
|
1998 |
+
"normalized": false,
|
1999 |
+
"rstrip": false,
|
2000 |
+
"single_word": false,
|
2001 |
+
"special": true
|
2002 |
+
},
|
2003 |
+
"128250": {
|
2004 |
+
"content": "<|reserved_special_token_245|>",
|
2005 |
+
"lstrip": false,
|
2006 |
+
"normalized": false,
|
2007 |
+
"rstrip": false,
|
2008 |
+
"single_word": false,
|
2009 |
+
"special": true
|
2010 |
+
},
|
2011 |
+
"128251": {
|
2012 |
+
"content": "<|reserved_special_token_246|>",
|
2013 |
+
"lstrip": false,
|
2014 |
+
"normalized": false,
|
2015 |
+
"rstrip": false,
|
2016 |
+
"single_word": false,
|
2017 |
+
"special": true
|
2018 |
+
},
|
2019 |
+
"128252": {
|
2020 |
+
"content": "<|reserved_special_token_247|>",
|
2021 |
+
"lstrip": false,
|
2022 |
+
"normalized": false,
|
2023 |
+
"rstrip": false,
|
2024 |
+
"single_word": false,
|
2025 |
+
"special": true
|
2026 |
+
},
|
2027 |
+
"128253": {
|
2028 |
+
"content": "<|reserved_special_token_248|>",
|
2029 |
+
"lstrip": false,
|
2030 |
+
"normalized": false,
|
2031 |
+
"rstrip": false,
|
2032 |
+
"single_word": false,
|
2033 |
+
"special": true
|
2034 |
+
},
|
2035 |
+
"128254": {
|
2036 |
+
"content": "<|reserved_special_token_249|>",
|
2037 |
+
"lstrip": false,
|
2038 |
+
"normalized": false,
|
2039 |
+
"rstrip": false,
|
2040 |
+
"single_word": false,
|
2041 |
+
"special": true
|
2042 |
+
},
|
2043 |
+
"128255": {
|
2044 |
+
"content": "<|reserved_special_token_250|>",
|
2045 |
+
"lstrip": false,
|
2046 |
+
"normalized": false,
|
2047 |
+
"rstrip": false,
|
2048 |
+
"single_word": false,
|
2049 |
+
"special": true
|
2050 |
+
}
|
2051 |
+
},
|
2052 |
+
"bos_token": "<|begin_of_text|>",
|
2053 |
+
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
2054 |
+
"clean_up_tokenization_spaces": true,
|
2055 |
+
"eos_token": "<|eot_id|>",
|
2056 |
+
"model_input_names": [
|
2057 |
+
"input_ids",
|
2058 |
+
"attention_mask"
|
2059 |
+
],
|
2060 |
+
"model_max_length": 2048,
|
2061 |
+
"pad_token": "<|eot_id|>",
|
2062 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
2063 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.9982631930527722,
|
3 |
+
"total_flos": 0.0,
|
4 |
+
"train_loss": 1.957533876696797,
|
5 |
+
"train_runtime": 11480.123,
|
6 |
+
"train_samples": 59876,
|
7 |
+
"train_samples_per_second": 5.216,
|
8 |
+
"train_steps_per_second": 0.041
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1453 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9982631930527722,
|
5 |
+
"eval_steps": 400,
|
6 |
+
"global_step": 467,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01068804275217101,
|
13 |
+
"grad_norm": 51.9219704867916,
|
14 |
+
"learning_rate": 1.0638297872340425e-07,
|
15 |
+
"logits/chosen": -1.0090945959091187,
|
16 |
+
"logits/rejected": -0.9798948168754578,
|
17 |
+
"logps/chosen": -0.2737821936607361,
|
18 |
+
"logps/rejected": -0.2714875340461731,
|
19 |
+
"loss": 2.9624,
|
20 |
+
"rewards/accuracies": 0.4375,
|
21 |
+
"rewards/chosen": -2.7378220558166504,
|
22 |
+
"rewards/margins": -0.02294684387743473,
|
23 |
+
"rewards/rejected": -2.7148749828338623,
|
24 |
+
"step": 5
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.02137608550434202,
|
28 |
+
"grad_norm": 44.19632899404353,
|
29 |
+
"learning_rate": 2.127659574468085e-07,
|
30 |
+
"logits/chosen": -1.0468437671661377,
|
31 |
+
"logits/rejected": -0.9794818758964539,
|
32 |
+
"logps/chosen": -0.2943094074726105,
|
33 |
+
"logps/rejected": -0.2997472286224365,
|
34 |
+
"loss": 3.2285,
|
35 |
+
"rewards/accuracies": 0.512499988079071,
|
36 |
+
"rewards/chosen": -2.943093776702881,
|
37 |
+
"rewards/margins": 0.054378531873226166,
|
38 |
+
"rewards/rejected": -2.9974725246429443,
|
39 |
+
"step": 10
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.03206412825651302,
|
43 |
+
"grad_norm": 51.06549177485018,
|
44 |
+
"learning_rate": 3.1914893617021275e-07,
|
45 |
+
"logits/chosen": -0.9672244191169739,
|
46 |
+
"logits/rejected": -0.9858204126358032,
|
47 |
+
"logps/chosen": -0.2640294134616852,
|
48 |
+
"logps/rejected": -0.30089089274406433,
|
49 |
+
"loss": 3.2949,
|
50 |
+
"rewards/accuracies": 0.6000000238418579,
|
51 |
+
"rewards/chosen": -2.640293836593628,
|
52 |
+
"rewards/margins": 0.3686152398586273,
|
53 |
+
"rewards/rejected": -3.008909225463867,
|
54 |
+
"step": 15
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.04275217100868404,
|
58 |
+
"grad_norm": 74.83681858154256,
|
59 |
+
"learning_rate": 4.25531914893617e-07,
|
60 |
+
"logits/chosen": -0.9596344232559204,
|
61 |
+
"logits/rejected": -0.933236300945282,
|
62 |
+
"logps/chosen": -0.2778920531272888,
|
63 |
+
"logps/rejected": -0.29140567779541016,
|
64 |
+
"loss": 3.0107,
|
65 |
+
"rewards/accuracies": 0.5,
|
66 |
+
"rewards/chosen": -2.7789206504821777,
|
67 |
+
"rewards/margins": 0.13513638079166412,
|
68 |
+
"rewards/rejected": -2.9140570163726807,
|
69 |
+
"step": 20
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.053440213760855046,
|
73 |
+
"grad_norm": 53.488412779583946,
|
74 |
+
"learning_rate": 5.319148936170212e-07,
|
75 |
+
"logits/chosen": -1.0089600086212158,
|
76 |
+
"logits/rejected": -0.9799430966377258,
|
77 |
+
"logps/chosen": -0.27165931463241577,
|
78 |
+
"logps/rejected": -0.2783976197242737,
|
79 |
+
"loss": 3.2847,
|
80 |
+
"rewards/accuracies": 0.5,
|
81 |
+
"rewards/chosen": -2.7165932655334473,
|
82 |
+
"rewards/margins": 0.06738300621509552,
|
83 |
+
"rewards/rejected": -2.7839760780334473,
|
84 |
+
"step": 25
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.06412825651302605,
|
88 |
+
"grad_norm": 49.467165701102346,
|
89 |
+
"learning_rate": 6.382978723404255e-07,
|
90 |
+
"logits/chosen": -0.9974703788757324,
|
91 |
+
"logits/rejected": -0.952576756477356,
|
92 |
+
"logps/chosen": -0.2734770178794861,
|
93 |
+
"logps/rejected": -0.27953463792800903,
|
94 |
+
"loss": 3.0768,
|
95 |
+
"rewards/accuracies": 0.42500001192092896,
|
96 |
+
"rewards/chosen": -2.734769821166992,
|
97 |
+
"rewards/margins": 0.06057664006948471,
|
98 |
+
"rewards/rejected": -2.795346736907959,
|
99 |
+
"step": 30
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.07481629926519706,
|
103 |
+
"grad_norm": 62.938723083055315,
|
104 |
+
"learning_rate": 7.446808510638297e-07,
|
105 |
+
"logits/chosen": -1.055626630783081,
|
106 |
+
"logits/rejected": -0.9798073768615723,
|
107 |
+
"logps/chosen": -0.29555463790893555,
|
108 |
+
"logps/rejected": -0.3219638466835022,
|
109 |
+
"loss": 3.0274,
|
110 |
+
"rewards/accuracies": 0.512499988079071,
|
111 |
+
"rewards/chosen": -2.9555466175079346,
|
112 |
+
"rewards/margins": 0.26409202814102173,
|
113 |
+
"rewards/rejected": -3.2196388244628906,
|
114 |
+
"step": 35
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.08550434201736808,
|
118 |
+
"grad_norm": 60.78411434363956,
|
119 |
+
"learning_rate": 8.51063829787234e-07,
|
120 |
+
"logits/chosen": -0.9993880987167358,
|
121 |
+
"logits/rejected": -0.9557031393051147,
|
122 |
+
"logps/chosen": -0.2811431288719177,
|
123 |
+
"logps/rejected": -0.3281245231628418,
|
124 |
+
"loss": 2.953,
|
125 |
+
"rewards/accuracies": 0.59375,
|
126 |
+
"rewards/chosen": -2.8114311695098877,
|
127 |
+
"rewards/margins": 0.469813734292984,
|
128 |
+
"rewards/rejected": -3.281245470046997,
|
129 |
+
"step": 40
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.09619238476953908,
|
133 |
+
"grad_norm": 37.98461592095763,
|
134 |
+
"learning_rate": 9.574468085106384e-07,
|
135 |
+
"logits/chosen": -1.0411790609359741,
|
136 |
+
"logits/rejected": -0.9992967844009399,
|
137 |
+
"logps/chosen": -0.30747953057289124,
|
138 |
+
"logps/rejected": -0.3615890145301819,
|
139 |
+
"loss": 3.0174,
|
140 |
+
"rewards/accuracies": 0.543749988079071,
|
141 |
+
"rewards/chosen": -3.0747952461242676,
|
142 |
+
"rewards/margins": 0.5410946607589722,
|
143 |
+
"rewards/rejected": -3.6158900260925293,
|
144 |
+
"step": 45
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.10688042752171009,
|
148 |
+
"grad_norm": 117.4214402638359,
|
149 |
+
"learning_rate": 9.998741174712533e-07,
|
150 |
+
"logits/chosen": -1.0310847759246826,
|
151 |
+
"logits/rejected": -0.9821462631225586,
|
152 |
+
"logps/chosen": -0.31808674335479736,
|
153 |
+
"logps/rejected": -0.3582245707511902,
|
154 |
+
"loss": 3.0624,
|
155 |
+
"rewards/accuracies": 0.4937500059604645,
|
156 |
+
"rewards/chosen": -3.1808676719665527,
|
157 |
+
"rewards/margins": 0.4013778567314148,
|
158 |
+
"rewards/rejected": -3.5822455883026123,
|
159 |
+
"step": 50
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.11756847027388109,
|
163 |
+
"grad_norm": 170.90804995599427,
|
164 |
+
"learning_rate": 9.991050648838675e-07,
|
165 |
+
"logits/chosen": -1.0685880184173584,
|
166 |
+
"logits/rejected": -1.0338609218597412,
|
167 |
+
"logps/chosen": -0.310200572013855,
|
168 |
+
"logps/rejected": -0.37700629234313965,
|
169 |
+
"loss": 2.7117,
|
170 |
+
"rewards/accuracies": 0.6000000238418579,
|
171 |
+
"rewards/chosen": -3.10200572013855,
|
172 |
+
"rewards/margins": 0.6680572628974915,
|
173 |
+
"rewards/rejected": -3.770063877105713,
|
174 |
+
"step": 55
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 0.1282565130260521,
|
178 |
+
"grad_norm": 134.13615502558548,
|
179 |
+
"learning_rate": 9.97637968732563e-07,
|
180 |
+
"logits/chosen": -1.109356164932251,
|
181 |
+
"logits/rejected": -1.0756348371505737,
|
182 |
+
"logps/chosen": -0.37418466806411743,
|
183 |
+
"logps/rejected": -0.3752634525299072,
|
184 |
+
"loss": 2.9555,
|
185 |
+
"rewards/accuracies": 0.5375000238418579,
|
186 |
+
"rewards/chosen": -3.7418465614318848,
|
187 |
+
"rewards/margins": 0.010788190178573132,
|
188 |
+
"rewards/rejected": -3.7526347637176514,
|
189 |
+
"step": 60
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.13894455577822312,
|
193 |
+
"grad_norm": 62.988442946717754,
|
194 |
+
"learning_rate": 9.954748808839674e-07,
|
195 |
+
"logits/chosen": -1.0235508680343628,
|
196 |
+
"logits/rejected": -0.9943636059761047,
|
197 |
+
"logps/chosen": -0.3913114666938782,
|
198 |
+
"logps/rejected": -0.4661448001861572,
|
199 |
+
"loss": 2.8601,
|
200 |
+
"rewards/accuracies": 0.6000000238418579,
|
201 |
+
"rewards/chosen": -3.9131150245666504,
|
202 |
+
"rewards/margins": 0.7483334541320801,
|
203 |
+
"rewards/rejected": -4.6614484786987305,
|
204 |
+
"step": 65
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 0.14963259853039412,
|
208 |
+
"grad_norm": 43.4379227945051,
|
209 |
+
"learning_rate": 9.926188266120295e-07,
|
210 |
+
"logits/chosen": -1.0352689027786255,
|
211 |
+
"logits/rejected": -1.0102473497390747,
|
212 |
+
"logps/chosen": -0.353306382894516,
|
213 |
+
"logps/rejected": -0.4401523172855377,
|
214 |
+
"loss": 2.8751,
|
215 |
+
"rewards/accuracies": 0.5562499761581421,
|
216 |
+
"rewards/chosen": -3.5330634117126465,
|
217 |
+
"rewards/margins": 0.8684590458869934,
|
218 |
+
"rewards/rejected": -4.401522636413574,
|
219 |
+
"step": 70
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.16032064128256512,
|
223 |
+
"grad_norm": 83.11781382244568,
|
224 |
+
"learning_rate": 9.890738003669027e-07,
|
225 |
+
"logits/chosen": -0.996098518371582,
|
226 |
+
"logits/rejected": -0.9254637956619263,
|
227 |
+
"logps/chosen": -0.34757333993911743,
|
228 |
+
"logps/rejected": -0.413855642080307,
|
229 |
+
"loss": 2.8749,
|
230 |
+
"rewards/accuracies": 0.53125,
|
231 |
+
"rewards/chosen": -3.475733518600464,
|
232 |
+
"rewards/margins": 0.6628231406211853,
|
233 |
+
"rewards/rejected": -4.138556480407715,
|
234 |
+
"step": 75
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.17100868403473615,
|
238 |
+
"grad_norm": 51.202568906876266,
|
239 |
+
"learning_rate": 9.848447601883433e-07,
|
240 |
+
"logits/chosen": -0.9647027850151062,
|
241 |
+
"logits/rejected": -0.950391411781311,
|
242 |
+
"logps/chosen": -0.3513404130935669,
|
243 |
+
"logps/rejected": -0.46568623185157776,
|
244 |
+
"loss": 2.6436,
|
245 |
+
"rewards/accuracies": 0.59375,
|
246 |
+
"rewards/chosen": -3.513404369354248,
|
247 |
+
"rewards/margins": 1.1434578895568848,
|
248 |
+
"rewards/rejected": -4.656861782073975,
|
249 |
+
"step": 80
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.18169672678690715,
|
253 |
+
"grad_norm": 70.97672847293224,
|
254 |
+
"learning_rate": 9.799376207714444e-07,
|
255 |
+
"logits/chosen": -0.9941811561584473,
|
256 |
+
"logits/rejected": -0.9714711308479309,
|
257 |
+
"logps/chosen": -0.3401820659637451,
|
258 |
+
"logps/rejected": -0.40950268507003784,
|
259 |
+
"loss": 2.6659,
|
260 |
+
"rewards/accuracies": 0.606249988079071,
|
261 |
+
"rewards/chosen": -3.401820659637451,
|
262 |
+
"rewards/margins": 0.6932064890861511,
|
263 |
+
"rewards/rejected": -4.095026969909668,
|
264 |
+
"step": 85
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.19238476953907815,
|
268 |
+
"grad_norm": 152.3633388876466,
|
269 |
+
"learning_rate": 9.743592451943998e-07,
|
270 |
+
"logits/chosen": -1.0390641689300537,
|
271 |
+
"logits/rejected": -1.002964735031128,
|
272 |
+
"logps/chosen": -0.4347335696220398,
|
273 |
+
"logps/rejected": -0.5336366891860962,
|
274 |
+
"loss": 2.8761,
|
275 |
+
"rewards/accuracies": 0.5625,
|
276 |
+
"rewards/chosen": -4.347336769104004,
|
277 |
+
"rewards/margins": 0.9890311360359192,
|
278 |
+
"rewards/rejected": -5.336367130279541,
|
279 |
+
"step": 90
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.20307281229124916,
|
283 |
+
"grad_norm": 48.723602234021136,
|
284 |
+
"learning_rate": 9.681174353198686e-07,
|
285 |
+
"logits/chosen": -1.112140417098999,
|
286 |
+
"logits/rejected": -1.0275517702102661,
|
287 |
+
"logps/chosen": -0.4523504674434662,
|
288 |
+
"logps/rejected": -0.5077233910560608,
|
289 |
+
"loss": 2.653,
|
290 |
+
"rewards/accuracies": 0.543749988079071,
|
291 |
+
"rewards/chosen": -4.523504734039307,
|
292 |
+
"rewards/margins": 0.5537286996841431,
|
293 |
+
"rewards/rejected": -5.077233791351318,
|
294 |
+
"step": 95
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 0.21376085504342018,
|
298 |
+
"grad_norm": 67.84801804788158,
|
299 |
+
"learning_rate": 9.612209208833646e-07,
|
300 |
+
"logits/chosen": -1.000867486000061,
|
301 |
+
"logits/rejected": -0.9747543334960938,
|
302 |
+
"logps/chosen": -0.4416694641113281,
|
303 |
+
"logps/rejected": -0.5102046728134155,
|
304 |
+
"loss": 2.8531,
|
305 |
+
"rewards/accuracies": 0.612500011920929,
|
306 |
+
"rewards/chosen": -4.4166951179504395,
|
307 |
+
"rewards/margins": 0.6853527426719666,
|
308 |
+
"rewards/rejected": -5.102047920227051,
|
309 |
+
"step": 100
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.22444889779559118,
|
313 |
+
"grad_norm": 73.17857628661973,
|
314 |
+
"learning_rate": 9.536793472839324e-07,
|
315 |
+
"logits/chosen": -1.0074902772903442,
|
316 |
+
"logits/rejected": -0.9537180662155151,
|
317 |
+
"logps/chosen": -0.40940943360328674,
|
318 |
+
"logps/rejected": -0.5277153849601746,
|
319 |
+
"loss": 2.9423,
|
320 |
+
"rewards/accuracies": 0.637499988079071,
|
321 |
+
"rewards/chosen": -4.094094276428223,
|
322 |
+
"rewards/margins": 1.1830594539642334,
|
323 |
+
"rewards/rejected": -5.277153968811035,
|
324 |
+
"step": 105
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.23513694054776219,
|
328 |
+
"grad_norm": 58.188153286610884,
|
329 |
+
"learning_rate": 9.455032620941839e-07,
|
330 |
+
"logits/chosen": -0.9680612683296204,
|
331 |
+
"logits/rejected": -0.9060274362564087,
|
332 |
+
"logps/chosen": -0.4779647886753082,
|
333 |
+
"logps/rejected": -0.6175049543380737,
|
334 |
+
"loss": 2.7583,
|
335 |
+
"rewards/accuracies": 0.6312500238418579,
|
336 |
+
"rewards/chosen": -4.7796478271484375,
|
337 |
+
"rewards/margins": 1.3954023122787476,
|
338 |
+
"rewards/rejected": -6.175050258636475,
|
339 |
+
"step": 110
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.2458249832999332,
|
343 |
+
"grad_norm": 55.673813232077116,
|
344 |
+
"learning_rate": 9.367041003085648e-07,
|
345 |
+
"logits/chosen": -1.0318225622177124,
|
346 |
+
"logits/rejected": -0.9690453410148621,
|
347 |
+
"logps/chosen": -0.5004153251647949,
|
348 |
+
"logps/rejected": -0.564782440662384,
|
349 |
+
"loss": 2.6268,
|
350 |
+
"rewards/accuracies": 0.6187499761581421,
|
351 |
+
"rewards/chosen": -5.004153251647949,
|
352 |
+
"rewards/margins": 0.643670916557312,
|
353 |
+
"rewards/rejected": -5.647824287414551,
|
354 |
+
"step": 115
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 0.2565130260521042,
|
358 |
+
"grad_norm": 93.24909470705533,
|
359 |
+
"learning_rate": 9.272941683504808e-07,
|
360 |
+
"logits/chosen": -0.9859496355056763,
|
361 |
+
"logits/rejected": -0.892734169960022,
|
362 |
+
"logps/chosen": -0.5100774168968201,
|
363 |
+
"logps/rejected": -0.7314041256904602,
|
364 |
+
"loss": 2.6175,
|
365 |
+
"rewards/accuracies": 0.7562500238418579,
|
366 |
+
"rewards/chosen": -5.100773811340332,
|
367 |
+
"rewards/margins": 2.213266372680664,
|
368 |
+
"rewards/rejected": -7.314040184020996,
|
369 |
+
"step": 120
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.26720106880427524,
|
373 |
+
"grad_norm": 62.49186315009438,
|
374 |
+
"learning_rate": 9.172866268606513e-07,
|
375 |
+
"logits/chosen": -1.0501500368118286,
|
376 |
+
"logits/rejected": -1.0046356916427612,
|
377 |
+
"logps/chosen": -0.568703293800354,
|
378 |
+
"logps/rejected": -0.6640041470527649,
|
379 |
+
"loss": 2.4292,
|
380 |
+
"rewards/accuracies": 0.637499988079071,
|
381 |
+
"rewards/chosen": -5.687033176422119,
|
382 |
+
"rewards/margins": 0.9530088305473328,
|
383 |
+
"rewards/rejected": -6.640041351318359,
|
384 |
+
"step": 125
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 0.27788911155644624,
|
388 |
+
"grad_norm": 94.37106722966159,
|
389 |
+
"learning_rate": 9.066954722907638e-07,
|
390 |
+
"logits/chosen": -1.0626311302185059,
|
391 |
+
"logits/rejected": -1.0533256530761719,
|
392 |
+
"logps/chosen": -0.5523235201835632,
|
393 |
+
"logps/rejected": -0.8242877125740051,
|
394 |
+
"loss": 2.3709,
|
395 |
+
"rewards/accuracies": 0.71875,
|
396 |
+
"rewards/chosen": -5.5232343673706055,
|
397 |
+
"rewards/margins": 2.719642162322998,
|
398 |
+
"rewards/rejected": -8.242877006530762,
|
399 |
+
"step": 130
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.28857715430861725,
|
403 |
+
"grad_norm": 78.14100135139738,
|
404 |
+
"learning_rate": 8.955355173281707e-07,
|
405 |
+
"logits/chosen": -1.0362498760223389,
|
406 |
+
"logits/rejected": -0.9840585589408875,
|
407 |
+
"logps/chosen": -0.5984936952590942,
|
408 |
+
"logps/rejected": -0.7128698825836182,
|
409 |
+
"loss": 2.355,
|
410 |
+
"rewards/accuracies": 0.6937500238418579,
|
411 |
+
"rewards/chosen": -5.984936714172363,
|
412 |
+
"rewards/margins": 1.1437618732452393,
|
413 |
+
"rewards/rejected": -7.128698825836182,
|
414 |
+
"step": 135
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 0.29926519706078825,
|
418 |
+
"grad_norm": 80.07356057826689,
|
419 |
+
"learning_rate": 8.838223701790055e-07,
|
420 |
+
"logits/chosen": -1.0999033451080322,
|
421 |
+
"logits/rejected": -1.0737004280090332,
|
422 |
+
"logps/chosen": -0.719946026802063,
|
423 |
+
"logps/rejected": -0.8201924562454224,
|
424 |
+
"loss": 2.4387,
|
425 |
+
"rewards/accuracies": 0.699999988079071,
|
426 |
+
"rewards/chosen": -7.199460029602051,
|
427 |
+
"rewards/margins": 1.0024646520614624,
|
428 |
+
"rewards/rejected": -8.201925277709961,
|
429 |
+
"step": 140
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.30995323981295925,
|
433 |
+
"grad_norm": 90.63467648251373,
|
434 |
+
"learning_rate": 8.71572412738697e-07,
|
435 |
+
"logits/chosen": -1.0016281604766846,
|
436 |
+
"logits/rejected": -0.9718937873840332,
|
437 |
+
"logps/chosen": -0.6957625150680542,
|
438 |
+
"logps/rejected": -0.89495849609375,
|
439 |
+
"loss": 2.3174,
|
440 |
+
"rewards/accuracies": 0.7250000238418579,
|
441 |
+
"rewards/chosen": -6.957624912261963,
|
442 |
+
"rewards/margins": 1.991959810256958,
|
443 |
+
"rewards/rejected": -8.9495849609375,
|
444 |
+
"step": 145
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.32064128256513025,
|
448 |
+
"grad_norm": 73.56126608282666,
|
449 |
+
"learning_rate": 8.588027776804058e-07,
|
450 |
+
"logits/chosen": -1.0221322774887085,
|
451 |
+
"logits/rejected": -0.9965847134590149,
|
452 |
+
"logps/chosen": -0.7128551006317139,
|
453 |
+
"logps/rejected": -0.896537184715271,
|
454 |
+
"loss": 2.3663,
|
455 |
+
"rewards/accuracies": 0.762499988079071,
|
456 |
+
"rewards/chosen": -7.128551483154297,
|
457 |
+
"rewards/margins": 1.8368213176727295,
|
458 |
+
"rewards/rejected": -8.965372085571289,
|
459 |
+
"step": 150
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.33132932531730125,
|
463 |
+
"grad_norm": 81.6804828395219,
|
464 |
+
"learning_rate": 8.455313244934324e-07,
|
465 |
+
"logits/chosen": -1.016101598739624,
|
466 |
+
"logits/rejected": -0.9916119575500488,
|
467 |
+
"logps/chosen": -0.7570836544036865,
|
468 |
+
"logps/rejected": -1.0055702924728394,
|
469 |
+
"loss": 2.1714,
|
470 |
+
"rewards/accuracies": 0.7124999761581421,
|
471 |
+
"rewards/chosen": -7.570836544036865,
|
472 |
+
"rewards/margins": 2.4848668575286865,
|
473 |
+
"rewards/rejected": -10.055703163146973,
|
474 |
+
"step": 155
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.3420173680694723,
|
478 |
+
"grad_norm": 99.4901399654396,
|
479 |
+
"learning_rate": 8.317766145051057e-07,
|
480 |
+
"logits/chosen": -1.0358034372329712,
|
481 |
+
"logits/rejected": -1.015195608139038,
|
482 |
+
"logps/chosen": -0.8496212959289551,
|
483 |
+
"logps/rejected": -1.2102388143539429,
|
484 |
+
"loss": 2.1439,
|
485 |
+
"rewards/accuracies": 0.75,
|
486 |
+
"rewards/chosen": -8.49621295928955,
|
487 |
+
"rewards/margins": 3.606174945831299,
|
488 |
+
"rewards/rejected": -12.102388381958008,
|
489 |
+
"step": 160
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.3527054108216433,
|
493 |
+
"grad_norm": 70.81537442159531,
|
494 |
+
"learning_rate": 8.175578849210894e-07,
|
495 |
+
"logits/chosen": -1.025247573852539,
|
496 |
+
"logits/rejected": -0.9949723482131958,
|
497 |
+
"logps/chosen": -0.9383013844490051,
|
498 |
+
"logps/rejected": -1.2926217317581177,
|
499 |
+
"loss": 2.1748,
|
500 |
+
"rewards/accuracies": 0.731249988079071,
|
501 |
+
"rewards/chosen": -9.383014678955078,
|
502 |
+
"rewards/margins": 3.5432026386260986,
|
503 |
+
"rewards/rejected": -12.926218032836914,
|
504 |
+
"step": 165
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 0.3633934535738143,
|
508 |
+
"grad_norm": 87.64514196797495,
|
509 |
+
"learning_rate": 8.028950219204099e-07,
|
510 |
+
"logits/chosen": -1.0285688638687134,
|
511 |
+
"logits/rejected": -1.003366470336914,
|
512 |
+
"logps/chosen": -0.8483174443244934,
|
513 |
+
"logps/rejected": -1.227891445159912,
|
514 |
+
"loss": 1.9588,
|
515 |
+
"rewards/accuracies": 0.793749988079071,
|
516 |
+
"rewards/chosen": -8.483174324035645,
|
517 |
+
"rewards/margins": 3.7957394123077393,
|
518 |
+
"rewards/rejected": -12.278913497924805,
|
519 |
+
"step": 170
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.3740814963259853,
|
523 |
+
"grad_norm": 112.86629209538306,
|
524 |
+
"learning_rate": 7.878085328428368e-07,
|
525 |
+
"logits/chosen": -1.0398296117782593,
|
526 |
+
"logits/rejected": -0.9856590032577515,
|
527 |
+
"logps/chosen": -0.975140392780304,
|
528 |
+
"logps/rejected": -1.1828876733779907,
|
529 |
+
"loss": 1.8418,
|
530 |
+
"rewards/accuracies": 0.762499988079071,
|
531 |
+
"rewards/chosen": -9.75140380859375,
|
532 |
+
"rewards/margins": 2.07747220993042,
|
533 |
+
"rewards/rejected": -11.828875541687012,
|
534 |
+
"step": 175
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.3847695390781563,
|
538 |
+
"grad_norm": 78.96808907768161,
|
539 |
+
"learning_rate": 7.723195175075135e-07,
|
540 |
+
"logits/chosen": -0.9896231889724731,
|
541 |
+
"logits/rejected": -0.9649994969367981,
|
542 |
+
"logps/chosen": -0.9527977108955383,
|
543 |
+
"logps/rejected": -1.2905272245407104,
|
544 |
+
"loss": 1.8762,
|
545 |
+
"rewards/accuracies": 0.768750011920929,
|
546 |
+
"rewards/chosen": -9.527976036071777,
|
547 |
+
"rewards/margins": 3.377295732498169,
|
548 |
+
"rewards/rejected": -12.9052734375,
|
549 |
+
"step": 180
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.3954575818303273,
|
553 |
+
"grad_norm": 108.85803981934055,
|
554 |
+
"learning_rate": 7.564496387029531e-07,
|
555 |
+
"logits/chosen": -1.0348621606826782,
|
556 |
+
"logits/rejected": -0.9732630848884583,
|
557 |
+
"logps/chosen": -1.0269982814788818,
|
558 |
+
"logps/rejected": -1.4066517353057861,
|
559 |
+
"loss": 1.7941,
|
560 |
+
"rewards/accuracies": 0.8125,
|
561 |
+
"rewards/chosen": -10.269983291625977,
|
562 |
+
"rewards/margins": 3.7965340614318848,
|
563 |
+
"rewards/rejected": -14.06651782989502,
|
564 |
+
"step": 185
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 0.4061456245824983,
|
568 |
+
"grad_norm": 88.17963395634109,
|
569 |
+
"learning_rate": 7.402210918896689e-07,
|
570 |
+
"logits/chosen": -1.0109108686447144,
|
571 |
+
"logits/rejected": -1.016540765762329,
|
572 |
+
"logps/chosen": -1.1914116144180298,
|
573 |
+
"logps/rejected": -1.6932926177978516,
|
574 |
+
"loss": 1.7838,
|
575 |
+
"rewards/accuracies": 0.800000011920929,
|
576 |
+
"rewards/chosen": -11.914116859436035,
|
577 |
+
"rewards/margins": 5.018809795379639,
|
578 |
+
"rewards/rejected": -16.932926177978516,
|
579 |
+
"step": 190
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.4168336673346693,
|
583 |
+
"grad_norm": 93.26710505616924,
|
584 |
+
"learning_rate": 7.236565741578162e-07,
|
585 |
+
"logits/chosen": -0.9588305354118347,
|
586 |
+
"logits/rejected": -0.9351094961166382,
|
587 |
+
"logps/chosen": -1.1738094091415405,
|
588 |
+
"logps/rejected": -1.507836103439331,
|
589 |
+
"loss": 1.7312,
|
590 |
+
"rewards/accuracies": 0.78125,
|
591 |
+
"rewards/chosen": -11.738093376159668,
|
592 |
+
"rewards/margins": 3.340266704559326,
|
593 |
+
"rewards/rejected": -15.078363418579102,
|
594 |
+
"step": 195
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 0.42752171008684037,
|
598 |
+
"grad_norm": 148.12833430588864,
|
599 |
+
"learning_rate": 7.067792524832603e-07,
|
600 |
+
"logits/chosen": -0.962164044380188,
|
601 |
+
"logits/rejected": -0.946324348449707,
|
602 |
+
"logps/chosen": -1.190048098564148,
|
603 |
+
"logps/rejected": -1.5737119913101196,
|
604 |
+
"loss": 1.8488,
|
605 |
+
"rewards/accuracies": 0.737500011920929,
|
606 |
+
"rewards/chosen": -11.900480270385742,
|
607 |
+
"rewards/margins": 3.8366382122039795,
|
608 |
+
"rewards/rejected": -15.737119674682617,
|
609 |
+
"step": 200
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 0.43820975283901137,
|
613 |
+
"grad_norm": 88.33539547998033,
|
614 |
+
"learning_rate": 6.896127313264642e-07,
|
615 |
+
"logits/chosen": -0.9857925176620483,
|
616 |
+
"logits/rejected": -0.9326913952827454,
|
617 |
+
"logps/chosen": -1.2696114778518677,
|
618 |
+
"logps/rejected": -1.6608413457870483,
|
619 |
+
"loss": 1.844,
|
620 |
+
"rewards/accuracies": 0.793749988079071,
|
621 |
+
"rewards/chosen": -12.696113586425781,
|
622 |
+
"rewards/margins": 3.9123005867004395,
|
623 |
+
"rewards/rejected": -16.608415603637695,
|
624 |
+
"step": 205
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 0.44889779559118237,
|
628 |
+
"grad_norm": 96.6188335214616,
|
629 |
+
"learning_rate": 6.721810196195174e-07,
|
630 |
+
"logits/chosen": -1.0050965547561646,
|
631 |
+
"logits/rejected": -0.9934624433517456,
|
632 |
+
"logps/chosen": -1.2922513484954834,
|
633 |
+
"logps/rejected": -1.710461974143982,
|
634 |
+
"loss": 1.6898,
|
635 |
+
"rewards/accuracies": 0.84375,
|
636 |
+
"rewards/chosen": -12.922513961791992,
|
637 |
+
"rewards/margins": 4.182106018066406,
|
638 |
+
"rewards/rejected": -17.10462188720703,
|
639 |
+
"step": 210
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.45958583834335337,
|
643 |
+
"grad_norm": 96.68880124766956,
|
644 |
+
"learning_rate": 6.545084971874736e-07,
|
645 |
+
"logits/chosen": -0.9563829302787781,
|
646 |
+
"logits/rejected": -0.9366313815116882,
|
647 |
+
"logps/chosen": -1.364743947982788,
|
648 |
+
"logps/rejected": -1.8573719263076782,
|
649 |
+
"loss": 1.5133,
|
650 |
+
"rewards/accuracies": 0.8062499761581421,
|
651 |
+
"rewards/chosen": -13.647438049316406,
|
652 |
+
"rewards/margins": 4.926279067993164,
|
653 |
+
"rewards/rejected": -18.573719024658203,
|
654 |
+
"step": 215
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.47027388109552437,
|
658 |
+
"grad_norm": 150.34366732566772,
|
659 |
+
"learning_rate": 6.3661988065096e-07,
|
660 |
+
"logits/chosen": -1.0227452516555786,
|
661 |
+
"logits/rejected": -1.0000264644622803,
|
662 |
+
"logps/chosen": -1.4215940237045288,
|
663 |
+
"logps/rejected": -1.926209807395935,
|
664 |
+
"loss": 1.6503,
|
665 |
+
"rewards/accuracies": 0.768750011920929,
|
666 |
+
"rewards/chosen": -14.21593952178955,
|
667 |
+
"rewards/margins": 5.0461578369140625,
|
668 |
+
"rewards/rejected": -19.262096405029297,
|
669 |
+
"step": 220
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.48096192384769537,
|
673 |
+
"grad_norm": 118.50430730198147,
|
674 |
+
"learning_rate": 6.185401888577487e-07,
|
675 |
+
"logits/chosen": -0.9958481788635254,
|
676 |
+
"logits/rejected": -0.9570272564888,
|
677 |
+
"logps/chosen": -1.4551509618759155,
|
678 |
+
"logps/rejected": -1.8940250873565674,
|
679 |
+
"loss": 1.4789,
|
680 |
+
"rewards/accuracies": 0.731249988079071,
|
681 |
+
"rewards/chosen": -14.551508903503418,
|
682 |
+
"rewards/margins": 4.388740062713623,
|
683 |
+
"rewards/rejected": -18.940250396728516,
|
684 |
+
"step": 225
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 0.4916499665998664,
|
688 |
+
"grad_norm": 97.94256873991337,
|
689 |
+
"learning_rate": 6.002947078916364e-07,
|
690 |
+
"logits/chosen": -1.0675132274627686,
|
691 |
+
"logits/rejected": -1.012401819229126,
|
692 |
+
"logps/chosen": -1.4190456867218018,
|
693 |
+
"logps/rejected": -1.884321928024292,
|
694 |
+
"loss": 1.5692,
|
695 |
+
"rewards/accuracies": 0.7437499761581421,
|
696 |
+
"rewards/chosen": -14.190455436706543,
|
697 |
+
"rewards/margins": 4.652764320373535,
|
698 |
+
"rewards/rejected": -18.843217849731445,
|
699 |
+
"step": 230
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.5023380093520374,
|
703 |
+
"grad_norm": 97.69525089331223,
|
704 |
+
"learning_rate": 5.819089557075688e-07,
|
705 |
+
"logits/chosen": -1.0891209840774536,
|
706 |
+
"logits/rejected": -1.0585644245147705,
|
707 |
+
"logps/chosen": -1.4393976926803589,
|
708 |
+
"logps/rejected": -1.9622634649276733,
|
709 |
+
"loss": 1.625,
|
710 |
+
"rewards/accuracies": 0.7562500238418579,
|
711 |
+
"rewards/chosen": -14.393977165222168,
|
712 |
+
"rewards/margins": 5.228659152984619,
|
713 |
+
"rewards/rejected": -19.622636795043945,
|
714 |
+
"step": 235
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 0.5130260521042084,
|
718 |
+
"grad_norm": 75.47943033357323,
|
719 |
+
"learning_rate": 5.634086464424742e-07,
|
720 |
+
"logits/chosen": -1.0535987615585327,
|
721 |
+
"logits/rejected": -1.051977276802063,
|
722 |
+
"logps/chosen": -1.3285123109817505,
|
723 |
+
"logps/rejected": -1.7905857563018799,
|
724 |
+
"loss": 1.559,
|
725 |
+
"rewards/accuracies": 0.793749988079071,
|
726 |
+
"rewards/chosen": -13.285120964050293,
|
727 |
+
"rewards/margins": 4.620734691619873,
|
728 |
+
"rewards/rejected": -17.90585708618164,
|
729 |
+
"step": 240
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.5237140948563794,
|
733 |
+
"grad_norm": 100.04007765445822,
|
734 |
+
"learning_rate": 5.448196544517167e-07,
|
735 |
+
"logits/chosen": -1.1635222434997559,
|
736 |
+
"logits/rejected": -1.0964869260787964,
|
737 |
+
"logps/chosen": -1.320629358291626,
|
738 |
+
"logps/rejected": -1.8691266775131226,
|
739 |
+
"loss": 1.4185,
|
740 |
+
"rewards/accuracies": 0.831250011920929,
|
741 |
+
"rewards/chosen": -13.206293106079102,
|
742 |
+
"rewards/margins": 5.484975337982178,
|
743 |
+
"rewards/rejected": -18.691268920898438,
|
744 |
+
"step": 245
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.5344021376085505,
|
748 |
+
"grad_norm": 90.6563420202814,
|
749 |
+
"learning_rate": 5.26167978121472e-07,
|
750 |
+
"logits/chosen": -1.084279179573059,
|
751 |
+
"logits/rejected": -1.0659908056259155,
|
752 |
+
"logps/chosen": -1.389957308769226,
|
753 |
+
"logps/rejected": -1.9566434621810913,
|
754 |
+
"loss": 1.481,
|
755 |
+
"rewards/accuracies": 0.8500000238418579,
|
756 |
+
"rewards/chosen": -13.899574279785156,
|
757 |
+
"rewards/margins": 5.666860580444336,
|
758 |
+
"rewards/rejected": -19.56643295288086,
|
759 |
+
"step": 250
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 0.5450901803607214,
|
763 |
+
"grad_norm": 182.74327675067556,
|
764 |
+
"learning_rate": 5.074797035076318e-07,
|
765 |
+
"logits/chosen": -1.1342357397079468,
|
766 |
+
"logits/rejected": -1.1009563207626343,
|
767 |
+
"logps/chosen": -1.4785124063491821,
|
768 |
+
"logps/rejected": -1.9460515975952148,
|
769 |
+
"loss": 1.5455,
|
770 |
+
"rewards/accuracies": 0.8187500238418579,
|
771 |
+
"rewards/chosen": -14.785125732421875,
|
772 |
+
"rewards/margins": 4.67539119720459,
|
773 |
+
"rewards/rejected": -19.460514068603516,
|
774 |
+
"step": 255
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 0.5557782231128925,
|
778 |
+
"grad_norm": 107.72294875535913,
|
779 |
+
"learning_rate": 4.887809678520975e-07,
|
780 |
+
"logits/chosen": -1.0977184772491455,
|
781 |
+
"logits/rejected": -1.0647294521331787,
|
782 |
+
"logps/chosen": -1.377906322479248,
|
783 |
+
"logps/rejected": -1.8358585834503174,
|
784 |
+
"loss": 1.4211,
|
785 |
+
"rewards/accuracies": 0.8187500238418579,
|
786 |
+
"rewards/chosen": -13.779062271118164,
|
787 |
+
"rewards/margins": 4.579524040222168,
|
788 |
+
"rewards/rejected": -18.358585357666016,
|
789 |
+
"step": 260
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 0.5664662658650634,
|
793 |
+
"grad_norm": 75.63967900485645,
|
794 |
+
"learning_rate": 4.700979230274829e-07,
|
795 |
+
"logits/chosen": -1.046972393989563,
|
796 |
+
"logits/rejected": -1.027153730392456,
|
797 |
+
"logps/chosen": -1.4691593647003174,
|
798 |
+
"logps/rejected": -1.9394676685333252,
|
799 |
+
"loss": 1.4695,
|
800 |
+
"rewards/accuracies": 0.800000011920929,
|
801 |
+
"rewards/chosen": -14.6915922164917,
|
802 |
+
"rewards/margins": 4.703083038330078,
|
803 |
+
"rewards/rejected": -19.394678115844727,
|
804 |
+
"step": 265
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 0.5771543086172345,
|
808 |
+
"grad_norm": 193.81178663729204,
|
809 |
+
"learning_rate": 4.514566989613559e-07,
|
810 |
+
"logits/chosen": -1.0509687662124634,
|
811 |
+
"logits/rejected": -1.0184508562088013,
|
812 |
+
"logps/chosen": -1.3223508596420288,
|
813 |
+
"logps/rejected": -1.8159472942352295,
|
814 |
+
"loss": 1.5709,
|
815 |
+
"rewards/accuracies": 0.8187500238418579,
|
816 |
+
"rewards/chosen": -13.22350788116455,
|
817 |
+
"rewards/margins": 4.935965061187744,
|
818 |
+
"rewards/rejected": -18.159473419189453,
|
819 |
+
"step": 270
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 0.5878423513694054,
|
823 |
+
"grad_norm": 93.1736953697589,
|
824 |
+
"learning_rate": 4.328833670911724e-07,
|
825 |
+
"logits/chosen": -1.0397508144378662,
|
826 |
+
"logits/rejected": -0.9964058995246887,
|
827 |
+
"logps/chosen": -1.2974085807800293,
|
828 |
+
"logps/rejected": -1.7082370519638062,
|
829 |
+
"loss": 1.551,
|
830 |
+
"rewards/accuracies": 0.8125,
|
831 |
+
"rewards/chosen": -12.974085807800293,
|
832 |
+
"rewards/margins": 4.108286380767822,
|
833 |
+
"rewards/rejected": -17.08237075805664,
|
834 |
+
"step": 275
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 0.5985303941215765,
|
838 |
+
"grad_norm": 76.2073903395276,
|
839 |
+
"learning_rate": 4.144039039010124e-07,
|
840 |
+
"logits/chosen": -1.1180676221847534,
|
841 |
+
"logits/rejected": -1.09043550491333,
|
842 |
+
"logps/chosen": -1.346557378768921,
|
843 |
+
"logps/rejected": -1.8500111103057861,
|
844 |
+
"loss": 1.4682,
|
845 |
+
"rewards/accuracies": 0.824999988079071,
|
846 |
+
"rewards/chosen": -13.46557331085205,
|
847 |
+
"rewards/margins": 5.034535884857178,
|
848 |
+
"rewards/rejected": -18.500110626220703,
|
849 |
+
"step": 280
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.6092184368737475,
|
853 |
+
"grad_norm": 94.07989298570106,
|
854 |
+
"learning_rate": 3.960441545911204e-07,
|
855 |
+
"logits/chosen": -1.0859159231185913,
|
856 |
+
"logits/rejected": -1.0468647480010986,
|
857 |
+
"logps/chosen": -1.399982213973999,
|
858 |
+
"logps/rejected": -1.926845908164978,
|
859 |
+
"loss": 1.2667,
|
860 |
+
"rewards/accuracies": 0.875,
|
861 |
+
"rewards/chosen": -13.999821662902832,
|
862 |
+
"rewards/margins": 5.268637657165527,
|
863 |
+
"rewards/rejected": -19.26845932006836,
|
864 |
+
"step": 285
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 0.6199064796259185,
|
868 |
+
"grad_norm": 89.07279022649925,
|
869 |
+
"learning_rate": 3.778297969310529e-07,
|
870 |
+
"logits/chosen": -1.110459327697754,
|
871 |
+
"logits/rejected": -1.0649018287658691,
|
872 |
+
"logps/chosen": -1.3886842727661133,
|
873 |
+
"logps/rejected": -1.8522567749023438,
|
874 |
+
"loss": 1.5307,
|
875 |
+
"rewards/accuracies": 0.800000011920929,
|
876 |
+
"rewards/chosen": -13.886842727661133,
|
877 |
+
"rewards/margins": 4.635725975036621,
|
878 |
+
"rewards/rejected": -18.522567749023438,
|
879 |
+
"step": 290
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 0.6305945223780896,
|
883 |
+
"grad_norm": 104.92194222567683,
|
884 |
+
"learning_rate": 3.5978630534699865e-07,
|
885 |
+
"logits/chosen": -1.0469499826431274,
|
886 |
+
"logits/rejected": -1.0278840065002441,
|
887 |
+
"logps/chosen": -1.4743906259536743,
|
888 |
+
"logps/rejected": -1.9389221668243408,
|
889 |
+
"loss": 1.3919,
|
890 |
+
"rewards/accuracies": 0.8062499761581421,
|
891 |
+
"rewards/chosen": -14.743906021118164,
|
892 |
+
"rewards/margins": 4.645317077636719,
|
893 |
+
"rewards/rejected": -19.38922119140625,
|
894 |
+
"step": 295
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 0.6412825651302605,
|
898 |
+
"grad_norm": 115.157031251591,
|
899 |
+
"learning_rate": 3.4193891529348795e-07,
|
900 |
+
"logits/chosen": -0.9734314680099487,
|
901 |
+
"logits/rejected": -0.9448921084403992,
|
902 |
+
"logps/chosen": -1.4543259143829346,
|
903 |
+
"logps/rejected": -1.8318170309066772,
|
904 |
+
"loss": 1.7971,
|
905 |
+
"rewards/accuracies": 0.737500011920929,
|
906 |
+
"rewards/chosen": -14.543258666992188,
|
907 |
+
"rewards/margins": 3.7749099731445312,
|
908 |
+
"rewards/rejected": -18.31817054748535,
|
909 |
+
"step": 300
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 0.6519706078824316,
|
913 |
+
"grad_norm": 87.78878822591881,
|
914 |
+
"learning_rate": 3.243125879593286e-07,
|
915 |
+
"logits/chosen": -1.0921169519424438,
|
916 |
+
"logits/rejected": -1.041258692741394,
|
917 |
+
"logps/chosen": -1.3990426063537598,
|
918 |
+
"logps/rejected": -1.7868198156356812,
|
919 |
+
"loss": 1.4931,
|
920 |
+
"rewards/accuracies": 0.768750011920929,
|
921 |
+
"rewards/chosen": -13.990427017211914,
|
922 |
+
"rewards/margins": 3.877769947052002,
|
923 |
+
"rewards/rejected": -17.86819839477539,
|
924 |
+
"step": 305
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 0.6626586506346025,
|
928 |
+
"grad_norm": 105.06509533230586,
|
929 |
+
"learning_rate": 3.069319753571269e-07,
|
930 |
+
"logits/chosen": -1.1367733478546143,
|
931 |
+
"logits/rejected": -1.1123126745224,
|
932 |
+
"logps/chosen": -1.4809437990188599,
|
933 |
+
"logps/rejected": -1.9527852535247803,
|
934 |
+
"loss": 1.6001,
|
935 |
+
"rewards/accuracies": 0.8062499761581421,
|
936 |
+
"rewards/chosen": -14.80943775177002,
|
937 |
+
"rewards/margins": 4.718415260314941,
|
938 |
+
"rewards/rejected": -19.52785301208496,
|
939 |
+
"step": 310
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 0.6733466933867736,
|
943 |
+
"grad_norm": 100.34303754111261,
|
944 |
+
"learning_rate": 2.898213858452173e-07,
|
945 |
+
"logits/chosen": -1.1173804998397827,
|
946 |
+
"logits/rejected": -1.0558984279632568,
|
947 |
+
"logps/chosen": -1.3943215608596802,
|
948 |
+
"logps/rejected": -1.851544976234436,
|
949 |
+
"loss": 1.4087,
|
950 |
+
"rewards/accuracies": 0.8374999761581421,
|
951 |
+
"rewards/chosen": -13.943216323852539,
|
952 |
+
"rewards/margins": 4.572234153747559,
|
953 |
+
"rewards/rejected": -18.51544761657715,
|
954 |
+
"step": 315
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.6840347361389446,
|
958 |
+
"grad_norm": 113.86543674722715,
|
959 |
+
"learning_rate": 2.730047501302266e-07,
|
960 |
+
"logits/chosen": -1.0984666347503662,
|
961 |
+
"logits/rejected": -1.0932129621505737,
|
962 |
+
"logps/chosen": -1.4517738819122314,
|
963 |
+
"logps/rejected": -2.008024215698242,
|
964 |
+
"loss": 1.4795,
|
965 |
+
"rewards/accuracies": 0.856249988079071,
|
966 |
+
"rewards/chosen": -14.517735481262207,
|
967 |
+
"rewards/margins": 5.562503814697266,
|
968 |
+
"rewards/rejected": -20.080242156982422,
|
969 |
+
"step": 320
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.6947227788911156,
|
973 |
+
"grad_norm": 99.61197741979623,
|
974 |
+
"learning_rate": 2.5650558779781635e-07,
|
975 |
+
"logits/chosen": -1.116877794265747,
|
976 |
+
"logits/rejected": -1.0635037422180176,
|
977 |
+
"logps/chosen": -1.6024644374847412,
|
978 |
+
"logps/rejected": -2.2202725410461426,
|
979 |
+
"loss": 1.4448,
|
980 |
+
"rewards/accuracies": 0.84375,
|
981 |
+
"rewards/chosen": -16.02464485168457,
|
982 |
+
"rewards/margins": 6.178084373474121,
|
983 |
+
"rewards/rejected": -22.202730178833008,
|
984 |
+
"step": 325
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 0.7054108216432866,
|
988 |
+
"grad_norm": 77.71480741385236,
|
989 |
+
"learning_rate": 2.403469744184154e-07,
|
990 |
+
"logits/chosen": -1.0377768278121948,
|
991 |
+
"logits/rejected": -0.9935773611068726,
|
992 |
+
"logps/chosen": -1.4898747205734253,
|
993 |
+
"logps/rejected": -1.9272472858428955,
|
994 |
+
"loss": 1.4709,
|
995 |
+
"rewards/accuracies": 0.824999988079071,
|
996 |
+
"rewards/chosen": -14.898748397827148,
|
997 |
+
"rewards/margins": 4.37372350692749,
|
998 |
+
"rewards/rejected": -19.272472381591797,
|
999 |
+
"step": 330
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 0.7160988643954576,
|
1003 |
+
"grad_norm": 89.73568696356142,
|
1004 |
+
"learning_rate": 2.2455150927394878e-07,
|
1005 |
+
"logits/chosen": -1.0675146579742432,
|
1006 |
+
"logits/rejected": -1.0462026596069336,
|
1007 |
+
"logps/chosen": -1.4130958318710327,
|
1008 |
+
"logps/rejected": -1.9325294494628906,
|
1009 |
+
"loss": 1.39,
|
1010 |
+
"rewards/accuracies": 0.8187500238418579,
|
1011 |
+
"rewards/chosen": -14.130956649780273,
|
1012 |
+
"rewards/margins": 5.194336891174316,
|
1013 |
+
"rewards/rejected": -19.32529640197754,
|
1014 |
+
"step": 335
|
1015 |
+
},
|
1016 |
+
{
|
1017 |
+
"epoch": 0.7267869071476286,
|
1018 |
+
"grad_norm": 110.68879818809171,
|
1019 |
+
"learning_rate": 2.0914128375069722e-07,
|
1020 |
+
"logits/chosen": -1.0806689262390137,
|
1021 |
+
"logits/rejected": -1.042923927307129,
|
1022 |
+
"logps/chosen": -1.4482777118682861,
|
1023 |
+
"logps/rejected": -1.9667714834213257,
|
1024 |
+
"loss": 1.4947,
|
1025 |
+
"rewards/accuracies": 0.8125,
|
1026 |
+
"rewards/chosen": -14.48277759552002,
|
1027 |
+
"rewards/margins": 5.184937000274658,
|
1028 |
+
"rewards/rejected": -19.667715072631836,
|
1029 |
+
"step": 340
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 0.7374749498997996,
|
1033 |
+
"grad_norm": 118.37607191091168,
|
1034 |
+
"learning_rate": 1.9413785044249676e-07,
|
1035 |
+
"logits/chosen": -1.1191717386245728,
|
1036 |
+
"logits/rejected": -1.0921493768692017,
|
1037 |
+
"logps/chosen": -1.5390311479568481,
|
1038 |
+
"logps/rejected": -2.1164662837982178,
|
1039 |
+
"loss": 1.6411,
|
1040 |
+
"rewards/accuracies": 0.856249988079071,
|
1041 |
+
"rewards/chosen": -15.390310287475586,
|
1042 |
+
"rewards/margins": 5.774353981018066,
|
1043 |
+
"rewards/rejected": -21.164663314819336,
|
1044 |
+
"step": 345
|
1045 |
+
},
|
1046 |
+
{
|
1047 |
+
"epoch": 0.7481629926519706,
|
1048 |
+
"grad_norm": 177.61167476414326,
|
1049 |
+
"learning_rate": 1.7956219300748792e-07,
|
1050 |
+
"logits/chosen": -1.1068302392959595,
|
1051 |
+
"logits/rejected": -1.1092784404754639,
|
1052 |
+
"logps/chosen": -1.4487911462783813,
|
1053 |
+
"logps/rejected": -1.9363235235214233,
|
1054 |
+
"loss": 1.5257,
|
1055 |
+
"rewards/accuracies": 0.831250011920929,
|
1056 |
+
"rewards/chosen": -14.487910270690918,
|
1057 |
+
"rewards/margins": 4.875324726104736,
|
1058 |
+
"rewards/rejected": -19.363237380981445,
|
1059 |
+
"step": 350
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.7588510354041417,
|
1063 |
+
"grad_norm": 93.0216947858328,
|
1064 |
+
"learning_rate": 1.6543469682057104e-07,
|
1065 |
+
"logits/chosen": -1.0323774814605713,
|
1066 |
+
"logits/rejected": -1.0446354150772095,
|
1067 |
+
"logps/chosen": -1.3830714225769043,
|
1068 |
+
"logps/rejected": -1.8855358362197876,
|
1069 |
+
"loss": 1.352,
|
1070 |
+
"rewards/accuracies": 0.856249988079071,
|
1071 |
+
"rewards/chosen": -13.830714225769043,
|
1072 |
+
"rewards/margins": 5.02464485168457,
|
1073 |
+
"rewards/rejected": -18.855358123779297,
|
1074 |
+
"step": 355
|
1075 |
+
},
|
1076 |
+
{
|
1077 |
+
"epoch": 0.7695390781563126,
|
1078 |
+
"grad_norm": 94.72973814318713,
|
1079 |
+
"learning_rate": 1.5177512046261666e-07,
|
1080 |
+
"logits/chosen": -1.0865602493286133,
|
1081 |
+
"logits/rejected": -1.0826921463012695,
|
1082 |
+
"logps/chosen": -1.4152530431747437,
|
1083 |
+
"logps/rejected": -2.0346670150756836,
|
1084 |
+
"loss": 1.4234,
|
1085 |
+
"rewards/accuracies": 0.831250011920929,
|
1086 |
+
"rewards/chosen": -14.1525297164917,
|
1087 |
+
"rewards/margins": 6.1941399574279785,
|
1088 |
+
"rewards/rejected": -20.346668243408203,
|
1089 |
+
"step": 360
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 0.7802271209084837,
|
1093 |
+
"grad_norm": 68.4731130261061,
|
1094 |
+
"learning_rate": 1.3860256808630427e-07,
|
1095 |
+
"logits/chosen": -1.135087490081787,
|
1096 |
+
"logits/rejected": -1.059451937675476,
|
1097 |
+
"logps/chosen": -1.4586212635040283,
|
1098 |
+
"logps/rejected": -2.061830997467041,
|
1099 |
+
"loss": 1.4973,
|
1100 |
+
"rewards/accuracies": 0.824999988079071,
|
1101 |
+
"rewards/chosen": -14.586212158203125,
|
1102 |
+
"rewards/margins": 6.0320963859558105,
|
1103 |
+
"rewards/rejected": -20.618310928344727,
|
1104 |
+
"step": 365
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 0.7909151636606546,
|
1108 |
+
"grad_norm": 121.84202884529543,
|
1109 |
+
"learning_rate": 1.2593546269723647e-07,
|
1110 |
+
"logits/chosen": -1.0569720268249512,
|
1111 |
+
"logits/rejected": -1.040205717086792,
|
1112 |
+
"logps/chosen": -1.4913088083267212,
|
1113 |
+
"logps/rejected": -1.9543384313583374,
|
1114 |
+
"loss": 1.5364,
|
1115 |
+
"rewards/accuracies": 0.84375,
|
1116 |
+
"rewards/chosen": -14.913087844848633,
|
1117 |
+
"rewards/margins": 4.630299091339111,
|
1118 |
+
"rewards/rejected": -19.543384552001953,
|
1119 |
+
"step": 370
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 0.8016032064128257,
|
1123 |
+
"grad_norm": 132.37754504186287,
|
1124 |
+
"learning_rate": 1.1379152038770029e-07,
|
1125 |
+
"logits/chosen": -1.0853582620620728,
|
1126 |
+
"logits/rejected": -1.0880931615829468,
|
1127 |
+
"logps/chosen": -1.561675786972046,
|
1128 |
+
"logps/rejected": -2.0865683555603027,
|
1129 |
+
"loss": 1.4922,
|
1130 |
+
"rewards/accuracies": 0.8187500238418579,
|
1131 |
+
"rewards/chosen": -15.6167573928833,
|
1132 |
+
"rewards/margins": 5.24892520904541,
|
1133 |
+
"rewards/rejected": -20.86568260192871,
|
1134 |
+
"step": 375
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 0.8122912491649966,
|
1138 |
+
"grad_norm": 146.30353813707708,
|
1139 |
+
"learning_rate": 1.0218772555910954e-07,
|
1140 |
+
"logits/chosen": -1.1082967519760132,
|
1141 |
+
"logits/rejected": -1.084113359451294,
|
1142 |
+
"logps/chosen": -1.449220895767212,
|
1143 |
+
"logps/rejected": -1.9152443408966064,
|
1144 |
+
"loss": 1.6124,
|
1145 |
+
"rewards/accuracies": 0.831250011920929,
|
1146 |
+
"rewards/chosen": -14.492208480834961,
|
1147 |
+
"rewards/margins": 4.660233974456787,
|
1148 |
+
"rewards/rejected": -19.15244483947754,
|
1149 |
+
"step": 380
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 0.8229792919171677,
|
1153 |
+
"grad_norm": 77.25479077025736,
|
1154 |
+
"learning_rate": 9.114030716778432e-08,
|
1155 |
+
"logits/chosen": -1.0906922817230225,
|
1156 |
+
"logits/rejected": -1.0660183429718018,
|
1157 |
+
"logps/chosen": -1.457859992980957,
|
1158 |
+
"logps/rejected": -2.104210138320923,
|
1159 |
+
"loss": 1.2879,
|
1160 |
+
"rewards/accuracies": 0.856249988079071,
|
1161 |
+
"rewards/chosen": -14.578600883483887,
|
1162 |
+
"rewards/margins": 6.4635009765625,
|
1163 |
+
"rewards/rejected": -21.042102813720703,
|
1164 |
+
"step": 385
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.8336673346693386,
|
1168 |
+
"grad_norm": 93.07916389497416,
|
1169 |
+
"learning_rate": 8.066471602728803e-08,
|
1170 |
+
"logits/chosen": -1.1058779954910278,
|
1171 |
+
"logits/rejected": -1.0853393077850342,
|
1172 |
+
"logps/chosen": -1.526141881942749,
|
1173 |
+
"logps/rejected": -2.099813461303711,
|
1174 |
+
"loss": 1.3994,
|
1175 |
+
"rewards/accuracies": 0.8125,
|
1176 |
+
"rewards/chosen": -15.261419296264648,
|
1177 |
+
"rewards/margins": 5.736716270446777,
|
1178 |
+
"rewards/rejected": -20.99813461303711,
|
1179 |
+
"step": 390
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.8443553774215097,
|
1183 |
+
"grad_norm": 101.69355206701071,
|
1184 |
+
"learning_rate": 7.077560319906694e-08,
|
1185 |
+
"logits/chosen": -1.1104137897491455,
|
1186 |
+
"logits/rejected": -1.0867125988006592,
|
1187 |
+
"logps/chosen": -1.461976408958435,
|
1188 |
+
"logps/rejected": -2.0008349418640137,
|
1189 |
+
"loss": 1.5022,
|
1190 |
+
"rewards/accuracies": 0.8187500238418579,
|
1191 |
+
"rewards/chosen": -14.61976432800293,
|
1192 |
+
"rewards/margins": 5.388585090637207,
|
1193 |
+
"rewards/rejected": -20.008350372314453,
|
1194 |
+
"step": 395
|
1195 |
+
},
|
1196 |
+
{
|
1197 |
+
"epoch": 0.8550434201736807,
|
1198 |
+
"grad_norm": 78.27794611977339,
|
1199 |
+
"learning_rate": 6.148679950161672e-08,
|
1200 |
+
"logits/chosen": -1.1054575443267822,
|
1201 |
+
"logits/rejected": -1.086721658706665,
|
1202 |
+
"logps/chosen": -1.4834736585617065,
|
1203 |
+
"logps/rejected": -1.9632450342178345,
|
1204 |
+
"loss": 1.353,
|
1205 |
+
"rewards/accuracies": 0.800000011920929,
|
1206 |
+
"rewards/chosen": -14.834736824035645,
|
1207 |
+
"rewards/margins": 4.797713756561279,
|
1208 |
+
"rewards/rejected": -19.6324520111084,
|
1209 |
+
"step": 400
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 0.8550434201736807,
|
1213 |
+
"eval_logits/chosen": -1.3153965473175049,
|
1214 |
+
"eval_logits/rejected": -1.323797345161438,
|
1215 |
+
"eval_logps/chosen": -1.4682824611663818,
|
1216 |
+
"eval_logps/rejected": -1.983279824256897,
|
1217 |
+
"eval_loss": 1.3837593793869019,
|
1218 |
+
"eval_rewards/accuracies": 0.8231707215309143,
|
1219 |
+
"eval_rewards/chosen": -14.68282413482666,
|
1220 |
+
"eval_rewards/margins": 5.149974822998047,
|
1221 |
+
"eval_rewards/rejected": -19.83279800415039,
|
1222 |
+
"eval_runtime": 89.1693,
|
1223 |
+
"eval_samples_per_second": 21.992,
|
1224 |
+
"eval_steps_per_second": 1.379,
|
1225 |
+
"step": 400
|
1226 |
+
},
|
1227 |
+
{
|
1228 |
+
"epoch": 0.8657314629258517,
|
1229 |
+
"grad_norm": 123.22959345953065,
|
1230 |
+
"learning_rate": 5.2811296166831666e-08,
|
1231 |
+
"logits/chosen": -1.072684645652771,
|
1232 |
+
"logits/rejected": -1.0882729291915894,
|
1233 |
+
"logps/chosen": -1.541043996810913,
|
1234 |
+
"logps/rejected": -1.9995849132537842,
|
1235 |
+
"loss": 1.3185,
|
1236 |
+
"rewards/accuracies": 0.8687499761581421,
|
1237 |
+
"rewards/chosen": -15.410443305969238,
|
1238 |
+
"rewards/margins": 4.585409641265869,
|
1239 |
+
"rewards/rejected": -19.995851516723633,
|
1240 |
+
"step": 405
|
1241 |
+
},
|
1242 |
+
{
|
1243 |
+
"epoch": 0.8764195056780227,
|
1244 |
+
"grad_norm": 147.91474233820844,
|
1245 |
+
"learning_rate": 4.4761226670592066e-08,
|
1246 |
+
"logits/chosen": -1.0857017040252686,
|
1247 |
+
"logits/rejected": -1.0723140239715576,
|
1248 |
+
"logps/chosen": -1.4827214479446411,
|
1249 |
+
"logps/rejected": -1.9837812185287476,
|
1250 |
+
"loss": 1.4599,
|
1251 |
+
"rewards/accuracies": 0.8187500238418579,
|
1252 |
+
"rewards/chosen": -14.827215194702148,
|
1253 |
+
"rewards/margins": 5.010597229003906,
|
1254 |
+
"rewards/rejected": -19.837810516357422,
|
1255 |
+
"step": 410
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.8871075484301937,
|
1259 |
+
"grad_norm": 91.16953725496764,
|
1260 |
+
"learning_rate": 3.734784976300165e-08,
|
1261 |
+
"logits/chosen": -1.08389413356781,
|
1262 |
+
"logits/rejected": -1.025193691253662,
|
1263 |
+
"logps/chosen": -1.436957597732544,
|
1264 |
+
"logps/rejected": -2.0282580852508545,
|
1265 |
+
"loss": 1.5869,
|
1266 |
+
"rewards/accuracies": 0.8374999761581421,
|
1267 |
+
"rewards/chosen": -14.369573593139648,
|
1268 |
+
"rewards/margins": 5.913008213043213,
|
1269 |
+
"rewards/rejected": -20.282581329345703,
|
1270 |
+
"step": 415
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"epoch": 0.8977955911823647,
|
1274 |
+
"grad_norm": 107.28232680425738,
|
1275 |
+
"learning_rate": 3.058153372200695e-08,
|
1276 |
+
"logits/chosen": -1.1248770952224731,
|
1277 |
+
"logits/rejected": -1.0667715072631836,
|
1278 |
+
"logps/chosen": -1.3739981651306152,
|
1279 |
+
"logps/rejected": -1.912716269493103,
|
1280 |
+
"loss": 1.4124,
|
1281 |
+
"rewards/accuracies": 0.8500000238418579,
|
1282 |
+
"rewards/chosen": -13.739982604980469,
|
1283 |
+
"rewards/margins": 5.387181282043457,
|
1284 |
+
"rewards/rejected": -19.12716293334961,
|
1285 |
+
"step": 420
|
1286 |
+
},
|
1287 |
+
{
|
1288 |
+
"epoch": 0.9084836339345357,
|
1289 |
+
"grad_norm": 120.49009743628018,
|
1290 |
+
"learning_rate": 2.4471741852423233e-08,
|
1291 |
+
"logits/chosen": -1.1182382106781006,
|
1292 |
+
"logits/rejected": -1.1063783168792725,
|
1293 |
+
"logps/chosen": -1.5358679294586182,
|
1294 |
+
"logps/rejected": -1.9908769130706787,
|
1295 |
+
"loss": 1.6669,
|
1296 |
+
"rewards/accuracies": 0.824999988079071,
|
1297 |
+
"rewards/chosen": -15.358678817749023,
|
1298 |
+
"rewards/margins": 4.5500898361206055,
|
1299 |
+
"rewards/rejected": -19.908771514892578,
|
1300 |
+
"step": 425
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 0.9191716766867067,
|
1304 |
+
"grad_norm": 121.92864479159549,
|
1305 |
+
"learning_rate": 1.9027019250647036e-08,
|
1306 |
+
"logits/chosen": -1.0952109098434448,
|
1307 |
+
"logits/rejected": -1.0773556232452393,
|
1308 |
+
"logps/chosen": -1.5638394355773926,
|
1309 |
+
"logps/rejected": -2.070910930633545,
|
1310 |
+
"loss": 1.4596,
|
1311 |
+
"rewards/accuracies": 0.824999988079071,
|
1312 |
+
"rewards/chosen": -15.638395309448242,
|
1313 |
+
"rewards/margins": 5.070715427398682,
|
1314 |
+
"rewards/rejected": -20.709110260009766,
|
1315 |
+
"step": 430
|
1316 |
+
},
|
1317 |
+
{
|
1318 |
+
"epoch": 0.9298597194388778,
|
1319 |
+
"grad_norm": 105.14729635844223,
|
1320 |
+
"learning_rate": 1.4254980853566246e-08,
|
1321 |
+
"logits/chosen": -1.0598957538604736,
|
1322 |
+
"logits/rejected": -1.0141620635986328,
|
1323 |
+
"logps/chosen": -1.4233707189559937,
|
1324 |
+
"logps/rejected": -1.9325555562973022,
|
1325 |
+
"loss": 1.4575,
|
1326 |
+
"rewards/accuracies": 0.875,
|
1327 |
+
"rewards/chosen": -14.233708381652832,
|
1328 |
+
"rewards/margins": 5.091846466064453,
|
1329 |
+
"rewards/rejected": -19.3255558013916,
|
1330 |
+
"step": 435
|
1331 |
+
},
|
1332 |
+
{
|
1333 |
+
"epoch": 0.9405477621910487,
|
1334 |
+
"grad_norm": 84.89716957923389,
|
1335 |
+
"learning_rate": 1.016230078838226e-08,
|
1336 |
+
"logits/chosen": -1.0672032833099365,
|
1337 |
+
"logits/rejected": -1.004197359085083,
|
1338 |
+
"logps/chosen": -1.4600632190704346,
|
1339 |
+
"logps/rejected": -1.9247214794158936,
|
1340 |
+
"loss": 1.3976,
|
1341 |
+
"rewards/accuracies": 0.8187500238418579,
|
1342 |
+
"rewards/chosen": -14.60063362121582,
|
1343 |
+
"rewards/margins": 4.646584510803223,
|
1344 |
+
"rewards/rejected": -19.24721908569336,
|
1345 |
+
"step": 440
|
1346 |
+
},
|
1347 |
+
{
|
1348 |
+
"epoch": 0.9512358049432198,
|
1349 |
+
"grad_norm": 100.8050659107904,
|
1350 |
+
"learning_rate": 6.754703038239329e-09,
|
1351 |
+
"logits/chosen": -1.0271015167236328,
|
1352 |
+
"logits/rejected": -1.0067023038864136,
|
1353 |
+
"logps/chosen": -1.479617953300476,
|
1354 |
+
"logps/rejected": -2.0660512447357178,
|
1355 |
+
"loss": 1.1916,
|
1356 |
+
"rewards/accuracies": 0.862500011920929,
|
1357 |
+
"rewards/chosen": -14.796180725097656,
|
1358 |
+
"rewards/margins": 5.86433219909668,
|
1359 |
+
"rewards/rejected": -20.660511016845703,
|
1360 |
+
"step": 445
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.9619238476953907,
|
1364 |
+
"grad_norm": 108.38487580301923,
|
1365 |
+
"learning_rate": 4.036953436716895e-09,
|
1366 |
+
"logits/chosen": -1.1366522312164307,
|
1367 |
+
"logits/rejected": -1.1128257513046265,
|
1368 |
+
"logps/chosen": -1.4388145208358765,
|
1369 |
+
"logps/rejected": -1.9377214908599854,
|
1370 |
+
"loss": 1.5938,
|
1371 |
+
"rewards/accuracies": 0.8125,
|
1372 |
+
"rewards/chosen": -14.388147354125977,
|
1373 |
+
"rewards/margins": 4.989068031311035,
|
1374 |
+
"rewards/rejected": -19.377216339111328,
|
1375 |
+
"step": 450
|
1376 |
+
},
|
1377 |
+
{
|
1378 |
+
"epoch": 0.9726118904475618,
|
1379 |
+
"grad_norm": 103.77485773787681,
|
1380 |
+
"learning_rate": 2.0128530023804656e-09,
|
1381 |
+
"logits/chosen": -1.1026852130889893,
|
1382 |
+
"logits/rejected": -1.0658283233642578,
|
1383 |
+
"logps/chosen": -1.4252578020095825,
|
1384 |
+
"logps/rejected": -2.0259361267089844,
|
1385 |
+
"loss": 1.0798,
|
1386 |
+
"rewards/accuracies": 0.8999999761581421,
|
1387 |
+
"rewards/chosen": -14.25257682800293,
|
1388 |
+
"rewards/margins": 6.006783485412598,
|
1389 |
+
"rewards/rejected": -20.259363174438477,
|
1390 |
+
"step": 455
|
1391 |
+
},
|
1392 |
+
{
|
1393 |
+
"epoch": 0.9832999331997327,
|
1394 |
+
"grad_norm": 94.49790728355107,
|
1395 |
+
"learning_rate": 6.852326227130833e-10,
|
1396 |
+
"logits/chosen": -1.1023436784744263,
|
1397 |
+
"logits/rejected": -1.0878626108169556,
|
1398 |
+
"logps/chosen": -1.5501340627670288,
|
1399 |
+
"logps/rejected": -2.1030094623565674,
|
1400 |
+
"loss": 1.389,
|
1401 |
+
"rewards/accuracies": 0.8125,
|
1402 |
+
"rewards/chosen": -15.50133991241455,
|
1403 |
+
"rewards/margins": 5.528753757476807,
|
1404 |
+
"rewards/rejected": -21.030094146728516,
|
1405 |
+
"step": 460
|
1406 |
+
},
|
1407 |
+
{
|
1408 |
+
"epoch": 0.9939879759519038,
|
1409 |
+
"grad_norm": 98.7777667397615,
|
1410 |
+
"learning_rate": 5.594909486328348e-11,
|
1411 |
+
"logits/chosen": -1.0701709985733032,
|
1412 |
+
"logits/rejected": -1.0728482007980347,
|
1413 |
+
"logps/chosen": -1.511604905128479,
|
1414 |
+
"logps/rejected": -2.0450565814971924,
|
1415 |
+
"loss": 1.5678,
|
1416 |
+
"rewards/accuracies": 0.8187500238418579,
|
1417 |
+
"rewards/chosen": -15.116047859191895,
|
1418 |
+
"rewards/margins": 5.334519863128662,
|
1419 |
+
"rewards/rejected": -20.4505672454834,
|
1420 |
+
"step": 465
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 0.9982631930527722,
|
1424 |
+
"step": 467,
|
1425 |
+
"total_flos": 0.0,
|
1426 |
+
"train_loss": 1.957533876696797,
|
1427 |
+
"train_runtime": 11480.123,
|
1428 |
+
"train_samples_per_second": 5.216,
|
1429 |
+
"train_steps_per_second": 0.041
|
1430 |
+
}
|
1431 |
+
],
|
1432 |
+
"logging_steps": 5,
|
1433 |
+
"max_steps": 467,
|
1434 |
+
"num_input_tokens_seen": 0,
|
1435 |
+
"num_train_epochs": 1,
|
1436 |
+
"save_steps": 1000000,
|
1437 |
+
"stateful_callbacks": {
|
1438 |
+
"TrainerControl": {
|
1439 |
+
"args": {
|
1440 |
+
"should_epoch_stop": false,
|
1441 |
+
"should_evaluate": false,
|
1442 |
+
"should_log": false,
|
1443 |
+
"should_save": true,
|
1444 |
+
"should_training_stop": true
|
1445 |
+
},
|
1446 |
+
"attributes": {}
|
1447 |
+
}
|
1448 |
+
},
|
1449 |
+
"total_flos": 0.0,
|
1450 |
+
"train_batch_size": 2,
|
1451 |
+
"trial_name": null,
|
1452 |
+
"trial_params": null
|
1453 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:990c8c5b8001cd51e3e89a7606a50e1bdf23c328f1a714b8e03c87972f974da2
|
3 |
+
size 7352
|