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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: 2.3076 |
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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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| 0.146 | 1.4706 | 25 | 2.0147 | |
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| 0.1176 | 2.9412 | 50 | 1.8274 | |
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| 0.0611 | 4.4118 | 75 | 1.8771 | |
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| 0.0417 | 5.8824 | 100 | 1.9553 | |
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| 0.0388 | 7.3529 | 125 | 1.8213 | |
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| 0.0209 | 8.8235 | 150 | 2.0744 | |
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| 0.0198 | 10.2941 | 175 | 2.0470 | |
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| 0.0103 | 11.7647 | 200 | 2.1113 | |
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| 0.0089 | 13.2353 | 225 | 2.0668 | |
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| 0.0062 | 14.7059 | 250 | 2.0936 | |
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| 0.0082 | 16.1765 | 275 | 2.0592 | |
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| 0.0044 | 17.6471 | 300 | 2.1819 | |
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| 0.0025 | 19.1176 | 325 | 2.2406 | |
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| 0.0021 | 20.5882 | 350 | 2.2534 | |
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| 0.0021 | 22.0588 | 375 | 2.2745 | |
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| 0.0018 | 23.5294 | 400 | 2.2877 | |
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| 0.0018 | 25.0 | 425 | 2.2974 | |
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| 0.0016 | 26.4706 | 450 | 2.3034 | |
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| 0.0017 | 27.9412 | 475 | 2.3066 | |
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| 0.0016 | 29.4118 | 500 | 2.3076 | |
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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 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
