Commit
•
6a5d45d
1
Parent(s):
48c6a2f
Model save
Browse files- README.md +76 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +511 -0
README.md
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---
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base_model: mistralai/Mistral-7B-Instruct-v0.3
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library_name: peft
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license: apache-2.0
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: Mistral-7B_task-3_180-samples_config-2_auto
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Mistral-7B_task-3_180-samples_config-2_auto
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4926
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 2.4492 | 0.9412 | 8 | 1.9220 |
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| 0.637 | 2.0 | 17 | 0.5030 |
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| 0.3581 | 2.9412 | 25 | 0.3322 |
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| 0.2132 | 4.0 | 34 | 0.2934 |
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| 0.1909 | 4.9412 | 42 | 0.2898 |
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| 0.1449 | 6.0 | 51 | 0.3128 |
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| 0.0826 | 6.9412 | 59 | 0.3488 |
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| 0.0486 | 8.0 | 68 | 0.4204 |
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| 0.0329 | 8.9412 | 76 | 0.4306 |
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| 0.0163 | 10.0 | 85 | 0.4600 |
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| 0.0215 | 10.9412 | 93 | 0.4499 |
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| 0.0048 | 12.0 | 102 | 0.4926 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 167832240
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c743b0329c0995c5f0c9ac1af1a440f3dba46f4bb33e462a64f4af05f3460ba
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size 167832240
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all_results.json
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{
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"epoch": 12.0,
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"total_flos": 1.6007026740874445e+17,
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"train_loss": 0.43703304879440397,
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"train_runtime": 5927.738,
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"train_samples": 136,
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"train_samples_per_second": 1.147,
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"train_steps_per_second": 0.067
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}
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train_results.json
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{
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"epoch": 12.0,
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"total_flos": 1.6007026740874445e+17,
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"train_loss": 0.43703304879440397,
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"train_runtime": 5927.738,
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"train_samples": 136,
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"train_samples_per_second": 1.147,
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"train_steps_per_second": 0.067
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}
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trainer_state.json
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|
| 1 |
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{
|
| 2 |
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"best_metric": 0.28984853625297546,
|
| 3 |
+
"best_model_checkpoint": "data/Mistral-7B_task-3_180-samples_config-2_auto/checkpoint-42",
|
| 4 |
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"epoch": 12.0,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 102,
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| 7 |
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"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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| 9 |
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"is_world_process_zero": true,
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| 10 |
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"log_history": [
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| 11 |
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{
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