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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: 2.9125 |
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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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| 1.7217 | 1.3158 | 25 | 1.7570 | |
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| 0.6773 | 2.6316 | 50 | 1.7855 | |
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| 0.3713 | 3.9474 | 75 | 1.8944 | |
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| 0.1498 | 5.2632 | 100 | 2.2601 | |
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| 0.0738 | 6.5789 | 125 | 2.3539 | |
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| 0.0395 | 7.8947 | 150 | 2.4572 | |
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| 0.03 | 9.2105 | 175 | 2.4119 | |
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| 0.0179 | 10.5263 | 200 | 2.4960 | |
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| 0.0154 | 11.8421 | 225 | 2.5468 | |
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| 0.0054 | 13.1579 | 250 | 2.6392 | |
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| 0.0041 | 14.4737 | 275 | 2.7146 | |
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| 0.0027 | 15.7895 | 300 | 2.8038 | |
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| 0.003 | 17.1053 | 325 | 2.8446 | |
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| 0.0024 | 18.4211 | 350 | 2.8672 | |
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| 0.0019 | 19.7368 | 375 | 2.8810 | |
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| 0.0021 | 21.0526 | 400 | 2.8946 | |
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| 0.0021 | 22.3684 | 425 | 2.9023 | |
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| 0.0019 | 23.6842 | 450 | 2.9083 | |
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| 0.0018 | 25.0 | 475 | 2.9117 | |
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| 0.0017 | 26.3158 | 500 | 2.9125 | |
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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 |
