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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: 1.9597 |
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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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| 1.5955 | 2.5 | 25 | 1.1871 | |
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| 0.4382 | 5.0 | 50 | 1.3249 | |
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| 0.1055 | 7.5 | 75 | 1.6587 | |
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| 0.0314 | 10.0 | 100 | 1.7388 | |
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| 0.018 | 12.5 | 125 | 1.7894 | |
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| 0.0062 | 15.0 | 150 | 1.8581 | |
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| 0.0167 | 17.5 | 175 | 1.8562 | |
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| 0.0034 | 20.0 | 200 | 1.8495 | |
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| 0.0038 | 22.5 | 225 | 1.8778 | |
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| 0.0016 | 25.0 | 250 | 1.8412 | |
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| 0.0012 | 27.5 | 275 | 1.8858 | |
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| 0.0011 | 30.0 | 300 | 1.9118 | |
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| 0.001 | 32.5 | 325 | 1.9290 | |
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| 0.0009 | 35.0 | 350 | 1.9401 | |
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| 0.0008 | 37.5 | 375 | 1.9467 | |
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| 0.0008 | 40.0 | 400 | 1.9519 | |
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| 0.0008 | 42.5 | 425 | 1.9556 | |
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| 0.0007 | 45.0 | 450 | 1.9579 | |
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| 0.0007 | 47.5 | 475 | 1.9597 | |
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| 0.0006 | 50.0 | 500 | 1.9597 | |
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### Framework versions |
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- PEFT 0.13.0 |
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- Transformers 4.45.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
