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--- |
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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datasets: |
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- GaetanMichelet/chat-60_ft_task-2 |
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- GaetanMichelet/chat-120_ft_task-2 |
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- GaetanMichelet/chat-180_ft_task-2 |
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library_name: peft |
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license: llama3.1 |
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tags: |
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- alignment-handbook |
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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_180-samples_config-4 |
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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_180-samples_config-4 |
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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 GaetanMichelet/chat-60_ft_task-2, the GaetanMichelet/chat-120_ft_task-2 and the GaetanMichelet/chat-180_ft_task-2 datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7156 |
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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: 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: 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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| 1.0917 | 0.9412 | 8 | 1.1326 | |
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| 1.1392 | 2.0 | 17 | 1.1271 | |
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| 1.1572 | 2.9412 | 25 | 1.1161 | |
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| 1.0856 | 4.0 | 34 | 1.0970 | |
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| 1.0789 | 4.9412 | 42 | 1.0719 | |
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| 1.0546 | 6.0 | 51 | 1.0337 | |
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| 0.9806 | 6.9412 | 59 | 0.9923 | |
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| 0.9617 | 8.0 | 68 | 0.9472 | |
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| 0.933 | 8.9412 | 76 | 0.9129 | |
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| 0.9005 | 10.0 | 85 | 0.8825 | |
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| 0.9183 | 10.9412 | 93 | 0.8578 | |
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| 0.7739 | 12.0 | 102 | 0.8335 | |
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| 0.7649 | 12.9412 | 110 | 0.8165 | |
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| 0.8197 | 14.0 | 119 | 0.8009 | |
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| 0.7488 | 14.9412 | 127 | 0.7889 | |
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| 0.7651 | 16.0 | 136 | 0.7770 | |
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| 0.6992 | 16.9412 | 144 | 0.7679 | |
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| 0.7609 | 18.0 | 153 | 0.7580 | |
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| 0.6868 | 18.9412 | 161 | 0.7510 | |
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| 0.7077 | 20.0 | 170 | 0.7437 | |
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| 0.6862 | 20.9412 | 178 | 0.7379 | |
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| 0.6939 | 22.0 | 187 | 0.7319 | |
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| 0.6564 | 22.9412 | 195 | 0.7275 | |
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| 0.6446 | 24.0 | 204 | 0.7236 | |
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| 0.6304 | 24.9412 | 212 | 0.7200 | |
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| 0.6583 | 26.0 | 221 | 0.7178 | |
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| 0.5974 | 26.9412 | 229 | 0.7159 | |
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| 0.6266 | 28.0 | 238 | 0.7159 | |
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| 0.6081 | 28.9412 | 246 | 0.7156 | |
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| 0.5853 | 30.0 | 255 | 0.7165 | |
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| 0.54 | 30.9412 | 263 | 0.7200 | |
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| 0.5438 | 32.0 | 272 | 0.7231 | |
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| 0.5163 | 32.9412 | 280 | 0.7268 | |
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| 0.5302 | 34.0 | 289 | 0.7345 | |
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| 0.4865 | 34.9412 | 297 | 0.7542 | |
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| 0.4774 | 36.0 | 306 | 0.7611 | |
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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 |
