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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: 2.2237 |
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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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| 1.822 | 1.1364 | 25 | 1.3842 | |
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| 0.883 | 2.2727 | 50 | 1.3566 | |
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| 0.4979 | 3.4091 | 75 | 1.5563 | |
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| 0.1678 | 4.5455 | 100 | 1.7178 | |
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| 0.088 | 5.6818 | 125 | 1.7917 | |
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| 0.0517 | 6.8182 | 150 | 1.8856 | |
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| 0.0407 | 7.9545 | 175 | 1.8559 | |
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| 0.0263 | 9.0909 | 200 | 1.9859 | |
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| 0.0192 | 10.2273 | 225 | 1.9196 | |
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| 0.0096 | 11.3636 | 250 | 2.0297 | |
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| 0.0112 | 12.5 | 275 | 2.0220 | |
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| 0.0033 | 13.6364 | 300 | 2.0524 | |
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| 0.0032 | 14.7727 | 325 | 2.1544 | |
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| 0.0024 | 15.9091 | 350 | 2.1657 | |
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| 0.0034 | 17.0455 | 375 | 2.1844 | |
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| 0.0021 | 18.1818 | 400 | 2.1901 | |
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| 0.0021 | 19.3182 | 425 | 2.2049 | |
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| 0.0021 | 20.4545 | 450 | 2.2152 | |
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| 0.0018 | 21.5909 | 475 | 2.2216 | |
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| 0.0021 | 22.7273 | 500 | 2.2237 | |
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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 |
