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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-1 |
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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-1_60-samples_config-3_full |
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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-1_60-samples_config-3_full |
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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-1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9224 |
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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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| 2.5395 | 0.8696 | 5 | 2.4149 | |
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| 2.4512 | 1.9130 | 11 | 2.3973 | |
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| 2.4419 | 2.9565 | 17 | 2.3721 | |
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| 2.3921 | 4.0 | 23 | 2.3361 | |
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| 2.3357 | 4.8696 | 28 | 2.2954 | |
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| 2.3559 | 5.9130 | 34 | 2.2287 | |
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| 2.2622 | 6.9565 | 40 | 2.1654 | |
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| 2.186 | 8.0 | 46 | 2.0752 | |
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| 2.0842 | 8.8696 | 51 | 2.0000 | |
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| 2.0522 | 9.9130 | 57 | 1.8960 | |
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| 1.911 | 10.9565 | 63 | 1.7942 | |
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| 1.8076 | 12.0 | 69 | 1.6760 | |
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| 1.659 | 12.8696 | 74 | 1.5645 | |
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| 1.5002 | 13.9130 | 80 | 1.4214 | |
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| 1.309 | 14.9565 | 86 | 1.2940 | |
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| 1.2079 | 16.0 | 92 | 1.1837 | |
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| 1.1738 | 16.8696 | 97 | 1.1230 | |
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| 1.0304 | 17.9130 | 103 | 1.0781 | |
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| 1.0485 | 18.9565 | 109 | 1.0459 | |
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| 0.9687 | 20.0 | 115 | 1.0258 | |
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| 0.9883 | 20.8696 | 120 | 1.0147 | |
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| 0.974 | 21.9130 | 126 | 1.0013 | |
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| 0.9397 | 22.9565 | 132 | 0.9905 | |
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| 0.9522 | 24.0 | 138 | 0.9816 | |
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| 0.9115 | 24.8696 | 143 | 0.9739 | |
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| 0.9412 | 25.9130 | 149 | 0.9668 | |
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| 0.9168 | 26.9565 | 155 | 0.9610 | |
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| 0.9461 | 28.0 | 161 | 0.9547 | |
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| 0.8579 | 28.8696 | 166 | 0.9499 | |
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| 0.8857 | 29.9130 | 172 | 0.9454 | |
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| 0.8465 | 30.9565 | 178 | 0.9405 | |
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| 0.8681 | 32.0 | 184 | 0.9393 | |
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| 0.8257 | 32.8696 | 189 | 0.9344 | |
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| 0.8425 | 33.9130 | 195 | 0.9336 | |
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| 0.8405 | 34.9565 | 201 | 0.9281 | |
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| 0.8101 | 36.0 | 207 | 0.9283 | |
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| 0.7808 | 36.8696 | 212 | 0.9259 | |
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| 0.7971 | 37.9130 | 218 | 0.9259 | |
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| 0.7766 | 38.9565 | 224 | 0.9235 | |
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| 0.7748 | 40.0 | 230 | 0.9245 | |
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| 0.7476 | 40.8696 | 235 | 0.9253 | |
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| 0.7007 | 41.9130 | 241 | 0.9224 | |
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| 0.741 | 42.9565 | 247 | 0.9261 | |
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| 0.7371 | 44.0 | 253 | 0.9239 | |
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| 0.7239 | 44.8696 | 258 | 0.9323 | |
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| 0.671 | 45.9130 | 264 | 0.9269 | |
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| 0.7312 | 46.9565 | 270 | 0.9333 | |
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| 0.6826 | 48.0 | 276 | 0.9345 | |
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| 0.6472 | 48.8696 | 281 | 0.9393 | |
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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 |
