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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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- GaetanMichelet/chat-180_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_180-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-3_180-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 GaetanMichelet/chat-60_ft_task-3, the GaetanMichelet/chat-120_ft_task-3 and the GaetanMichelet/chat-180_ft_task-3 datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4813 |
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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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| 2.3708 | 1.0 | 17 | 2.4982 | |
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| 2.4065 | 2.0 | 34 | 2.4397 | |
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| 2.3549 | 3.0 | 51 | 2.3147 | |
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| 2.0578 | 4.0 | 68 | 2.0850 | |
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| 1.8089 | 5.0 | 85 | 1.7080 | |
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| 1.3018 | 6.0 | 102 | 1.2347 | |
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| 1.0212 | 7.0 | 119 | 0.8016 | |
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| 0.4899 | 8.0 | 136 | 0.6475 | |
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| 0.6106 | 9.0 | 153 | 0.5890 | |
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| 0.5388 | 10.0 | 170 | 0.5729 | |
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| 0.7245 | 11.0 | 187 | 0.5585 | |
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| 0.3568 | 12.0 | 204 | 0.5533 | |
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| 0.4165 | 13.0 | 221 | 0.5353 | |
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| 0.6226 | 14.0 | 238 | 0.5420 | |
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| 0.3284 | 15.0 | 255 | 0.5026 | |
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| 0.4813 | 16.0 | 272 | 0.5214 | |
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| 0.3015 | 17.0 | 289 | 0.5116 | |
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| 0.3513 | 18.0 | 306 | 0.5071 | |
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| 0.3638 | 19.0 | 323 | 0.5486 | |
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| 0.5246 | 20.0 | 340 | 0.4813 | |
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| 0.4751 | 21.0 | 357 | 0.5369 | |
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| 0.2074 | 22.0 | 374 | 0.5177 | |
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| 0.2513 | 23.0 | 391 | 0.5109 | |
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| 0.3019 | 24.0 | 408 | 0.5100 | |
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| 0.2039 | 25.0 | 425 | 0.5429 | |
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| 0.228 | 26.0 | 442 | 0.5161 | |
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| 0.2127 | 27.0 | 459 | 0.5206 | |
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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 |
