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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: 1.9773 |
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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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| 1.7658 | 1.3158 | 25 | 1.2514 | |
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| 0.798 | 2.6316 | 50 | 1.2960 | |
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| 0.4432 | 3.9474 | 75 | 1.3901 | |
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| 0.1598 | 5.2632 | 100 | 1.6723 | |
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| 0.0867 | 6.5789 | 125 | 1.7080 | |
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| 0.0397 | 7.8947 | 150 | 1.7470 | |
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| 0.0356 | 9.2105 | 175 | 1.7648 | |
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| 0.0225 | 10.5263 | 200 | 1.7194 | |
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| 0.0122 | 11.8421 | 225 | 1.7498 | |
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| 0.0055 | 13.1579 | 250 | 1.8408 | |
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| 0.0034 | 14.4737 | 275 | 1.9249 | |
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| 0.003 | 15.7895 | 300 | 1.8917 | |
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| 0.0027 | 17.1053 | 325 | 1.8668 | |
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| 0.0023 | 18.4211 | 350 | 1.9104 | |
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| 0.0023 | 19.7368 | 375 | 1.9403 | |
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| 0.0022 | 21.0526 | 400 | 1.9561 | |
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| 0.0018 | 22.3684 | 425 | 1.9670 | |
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| 0.0019 | 23.6842 | 450 | 1.9720 | |
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| 0.002 | 25.0 | 475 | 1.9760 | |
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| 0.0015 | 26.3158 | 500 | 1.9773 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
