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--- |
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base_model: NousResearch/Meta-Llama-3.1-8B-Instruct |
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datasets: |
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- generator |
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library_name: peft |
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license: llama3.1 |
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tags: |
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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: llama381binstruct_summarize_short |
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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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# llama381binstruct_summarize_short |
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This model is a fine-tuned version of [NousResearch/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3.1-8B-Instruct) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4158 |
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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: 0.0002 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 30 |
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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 1.6861 | 1.1905 | 25 | 0.9223 | |
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| 0.7859 | 2.3810 | 50 | 0.8779 | |
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| 0.3887 | 3.5714 | 75 | 0.9867 | |
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| 0.1412 | 4.7619 | 100 | 1.0822 | |
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| 0.0911 | 5.9524 | 125 | 1.2118 | |
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| 0.0391 | 7.1429 | 150 | 1.3553 | |
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| 0.0309 | 8.3333 | 175 | 1.2825 | |
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| 0.0188 | 9.5238 | 200 | 1.2512 | |
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| 0.0145 | 10.7143 | 225 | 1.2936 | |
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| 0.0091 | 11.9048 | 250 | 1.3109 | |
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| 0.0058 | 13.0952 | 275 | 1.2768 | |
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| 0.0042 | 14.2857 | 300 | 1.2963 | |
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| 0.0032 | 15.4762 | 325 | 1.3539 | |
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| 0.0021 | 16.6667 | 350 | 1.3810 | |
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| 0.0024 | 17.8571 | 375 | 1.3974 | |
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| 0.0021 | 19.0476 | 400 | 1.4047 | |
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| 0.002 | 20.2381 | 425 | 1.4103 | |
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| 0.0018 | 21.4286 | 450 | 1.4133 | |
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| 0.0017 | 22.6190 | 475 | 1.4152 | |
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| 0.0015 | 23.8095 | 500 | 1.4158 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.1 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.0.2 |
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- Tokenizers 0.20.1 |
