Commit
•
0461047
1
Parent(s):
d951b48
Model save
Browse files- README.md +93 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +1403 -0
README.md
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---
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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library_name: peft
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license: llama3.1
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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: Llama-31-8B_task-2_120-samples_config-3
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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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# Llama-31-8B_task-2_120-samples_config-3
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7954
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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: 1e-05
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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: 8
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- total_train_batch_size: 8
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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: 150
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.0459 | 1.0 | 11 | 1.1227 |
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| 1.0223 | 2.0 | 22 | 1.1149 |
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| 1.0795 | 3.0 | 33 | 1.1018 |
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| 0.9982 | 4.0 | 44 | 1.0787 |
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| 0.9702 | 5.0 | 55 | 1.0444 |
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| 0.9509 | 6.0 | 66 | 0.9990 |
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| 0.9573 | 7.0 | 77 | 0.9500 |
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| 0.8624 | 8.0 | 88 | 0.9071 |
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| 0.8804 | 9.0 | 99 | 0.8747 |
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| 0.8515 | 10.0 | 110 | 0.8457 |
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| 0.7864 | 11.0 | 121 | 0.8208 |
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| 0.8648 | 12.0 | 132 | 0.8018 |
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| 0.736 | 13.0 | 143 | 0.7867 |
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| 0.7882 | 14.0 | 154 | 0.7728 |
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| 0.7452 | 15.0 | 165 | 0.7604 |
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| 0.6818 | 16.0 | 176 | 0.7485 |
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| 0.7119 | 17.0 | 187 | 0.7387 |
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| 0.7107 | 18.0 | 198 | 0.7307 |
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| 0.6405 | 19.0 | 209 | 0.7238 |
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| 0.6075 | 20.0 | 220 | 0.7188 |
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| 0.6323 | 21.0 | 231 | 0.7152 |
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| 0.557 | 22.0 | 242 | 0.7139 |
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| 0.5692 | 23.0 | 253 | 0.7158 |
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| 0.558 | 24.0 | 264 | 0.7198 |
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| 0.5153 | 25.0 | 275 | 0.7296 |
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| 0.4964 | 26.0 | 286 | 0.7367 |
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| 0.4713 | 27.0 | 297 | 0.7403 |
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| 0.4144 | 28.0 | 308 | 0.7620 |
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| 0.4184 | 29.0 | 319 | 0.7954 |
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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 sha256:836b7424d27a44abf5c5b6f45c04e53546551965eade0930df406ca0b14934d2
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size 167832240
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all_results.json
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{
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"epoch": 29.0,
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"total_flos": 2.4257124139375e+17,
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"train_loss": 0.757462413613699,
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"train_runtime": 8705.8997,
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"train_samples": 88,
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"train_samples_per_second": 1.516,
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"train_steps_per_second": 0.19
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}
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train_results.json
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{
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"epoch": 29.0,
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"total_flos": 2.4257124139375e+17,
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"train_loss": 0.757462413613699,
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"train_runtime": 8705.8997,
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"train_samples": 88,
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"train_samples_per_second": 1.516,
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"train_steps_per_second": 0.19
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}
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trainer_state.json
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