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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-3 |
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- GaetanMichelet/chat-120_ft_task-3 |
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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-3_120-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-3_120-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-3 and the GaetanMichelet/chat-120_ft_task-3 datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4427 |
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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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| 2.4707 | 0.9091 | 5 | 2.5024 | |
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| 2.3847 | 2.0 | 11 | 2.4794 | |
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| 2.5822 | 2.9091 | 16 | 2.4506 | |
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| 2.2635 | 4.0 | 22 | 2.3903 | |
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| 2.446 | 4.9091 | 27 | 2.3184 | |
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| 2.3172 | 6.0 | 33 | 2.1938 | |
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| 2.0582 | 6.9091 | 38 | 2.0560 | |
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| 1.9038 | 8.0 | 44 | 1.8385 | |
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| 1.7291 | 8.9091 | 49 | 1.6252 | |
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| 1.3996 | 10.0 | 55 | 1.3456 | |
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| 1.1127 | 10.9091 | 60 | 1.1189 | |
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| 0.8648 | 12.0 | 66 | 0.8627 | |
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| 0.8247 | 12.9091 | 71 | 0.7228 | |
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| 0.5681 | 14.0 | 77 | 0.6453 | |
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| 0.4968 | 14.9091 | 82 | 0.6020 | |
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| 0.589 | 16.0 | 88 | 0.5632 | |
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| 0.3902 | 16.9091 | 93 | 0.5394 | |
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| 0.4795 | 18.0 | 99 | 0.5253 | |
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| 0.3937 | 18.9091 | 104 | 0.5188 | |
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| 0.3482 | 20.0 | 110 | 0.5149 | |
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| 0.4633 | 20.9091 | 115 | 0.5076 | |
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| 0.4324 | 22.0 | 121 | 0.5073 | |
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| 0.5268 | 22.9091 | 126 | 0.5014 | |
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| 0.3829 | 24.0 | 132 | 0.4946 | |
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| 0.3884 | 24.9091 | 137 | 0.4875 | |
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| 0.3955 | 26.0 | 143 | 0.4859 | |
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| 0.3296 | 26.9091 | 148 | 0.4827 | |
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| 0.364 | 28.0 | 154 | 0.4805 | |
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| 0.3218 | 28.9091 | 159 | 0.4765 | |
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| 0.2995 | 30.0 | 165 | 0.4727 | |
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| 0.3728 | 30.9091 | 170 | 0.4668 | |
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| 0.2413 | 32.0 | 176 | 0.4653 | |
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| 0.4141 | 32.9091 | 181 | 0.4626 | |
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| 0.3693 | 34.0 | 187 | 0.4562 | |
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| 0.3666 | 34.9091 | 192 | 0.4526 | |
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| 0.3605 | 36.0 | 198 | 0.4506 | |
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| 0.2923 | 36.9091 | 203 | 0.4474 | |
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| 0.3422 | 38.0 | 209 | 0.4443 | |
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| 0.3489 | 38.9091 | 214 | 0.4427 | |
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| 0.3737 | 40.0 | 220 | 0.4435 | |
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| 0.2804 | 40.9091 | 225 | 0.4437 | |
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| 0.3212 | 42.0 | 231 | 0.4469 | |
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| 0.2322 | 42.9091 | 236 | 0.4480 | |
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| 0.2569 | 44.0 | 242 | 0.4507 | |
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| 0.2501 | 44.9091 | 247 | 0.4544 | |
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| 0.2247 | 46.0 | 253 | 0.4641 | |
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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 |
