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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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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_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-2_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-2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0710 |
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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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| 1.5659 | 0.8696 | 5 | 1.5846 | |
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| 1.5947 | 1.9130 | 11 | 1.5811 | |
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| 1.6305 | 2.9565 | 17 | 1.5758 | |
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| 1.5682 | 4.0 | 23 | 1.5673 | |
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| 1.5687 | 4.8696 | 28 | 1.5571 | |
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| 1.5556 | 5.9130 | 34 | 1.5406 | |
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| 1.4699 | 6.9565 | 40 | 1.5190 | |
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| 1.5027 | 8.0 | 46 | 1.4958 | |
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| 1.5203 | 8.8696 | 51 | 1.4719 | |
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| 1.4872 | 9.9130 | 57 | 1.4445 | |
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| 1.4184 | 10.9565 | 63 | 1.4151 | |
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| 1.3817 | 12.0 | 69 | 1.3868 | |
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| 1.3397 | 12.8696 | 74 | 1.3648 | |
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| 1.3234 | 13.9130 | 80 | 1.3390 | |
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| 1.2893 | 14.9565 | 86 | 1.3122 | |
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| 1.2999 | 16.0 | 92 | 1.2852 | |
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| 1.2212 | 16.8696 | 97 | 1.2628 | |
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| 1.234 | 17.9130 | 103 | 1.2358 | |
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| 1.1704 | 18.9565 | 109 | 1.2078 | |
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| 1.1499 | 20.0 | 115 | 1.1796 | |
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| 1.1265 | 20.8696 | 120 | 1.1570 | |
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| 1.0716 | 21.9130 | 126 | 1.1357 | |
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| 1.0332 | 22.9565 | 132 | 1.1223 | |
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| 1.0631 | 24.0 | 138 | 1.1155 | |
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| 1.0659 | 24.8696 | 143 | 1.1111 | |
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| 1.0637 | 25.9130 | 149 | 1.1068 | |
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| 0.9979 | 26.9565 | 155 | 1.1031 | |
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| 1.0495 | 28.0 | 161 | 1.0993 | |
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| 1.0126 | 28.8696 | 166 | 1.0966 | |
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| 0.9884 | 29.9130 | 172 | 1.0938 | |
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| 1.0366 | 30.9565 | 178 | 1.0909 | |
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| 1.0434 | 32.0 | 184 | 1.0886 | |
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| 1.0222 | 32.8696 | 189 | 1.0862 | |
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| 0.9978 | 33.9130 | 195 | 1.0842 | |
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| 0.9593 | 34.9565 | 201 | 1.0824 | |
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| 1.0383 | 36.0 | 207 | 1.0804 | |
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| 0.9958 | 36.8696 | 212 | 1.0792 | |
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| 0.9774 | 37.9130 | 218 | 1.0778 | |
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| 0.9853 | 38.9565 | 224 | 1.0763 | |
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| 0.9241 | 40.0 | 230 | 1.0747 | |
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| 1.0387 | 40.8696 | 235 | 1.0743 | |
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| 0.9616 | 41.9130 | 241 | 1.0733 | |
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| 0.9909 | 42.9565 | 247 | 1.0724 | |
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| 0.9055 | 44.0 | 253 | 1.0720 | |
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| 1.0025 | 44.8696 | 258 | 1.0722 | |
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| 0.9325 | 45.9130 | 264 | 1.0711 | |
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| 0.8921 | 46.9565 | 270 | 1.0723 | |
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| 0.9079 | 48.0 | 276 | 1.0710 | |
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| 0.9615 | 48.8696 | 281 | 1.0729 | |
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| 0.9517 | 49.9130 | 287 | 1.0718 | |
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| 0.8619 | 50.9565 | 293 | 1.0730 | |
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| 0.8894 | 52.0 | 299 | 1.0739 | |
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| 0.8389 | 52.8696 | 304 | 1.0742 | |
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| 0.9032 | 53.9130 | 310 | 1.0750 | |
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| 0.9015 | 54.9565 | 316 | 1.0760 | |
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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 |
