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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: 2.0084 |
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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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| 1.7525 | 1.25 | 25 | 1.5271 | |
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| 0.7826 | 2.5 | 50 | 1.4348 | |
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| 0.395 | 3.75 | 75 | 1.3611 | |
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| 0.2184 | 5.0 | 100 | 1.4174 | |
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| 0.103 | 6.25 | 125 | 1.5257 | |
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| 0.0332 | 7.5 | 150 | 1.7178 | |
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| 0.0237 | 8.75 | 175 | 1.7389 | |
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| 0.026 | 10.0 | 200 | 1.6446 | |
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| 0.0165 | 11.25 | 225 | 1.8576 | |
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| 0.007 | 12.5 | 250 | 1.7998 | |
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| 0.0048 | 13.75 | 275 | 1.8755 | |
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| 0.0061 | 15.0 | 300 | 1.8949 | |
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| 0.003 | 16.25 | 325 | 1.9242 | |
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| 0.002 | 17.5 | 350 | 1.9594 | |
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| 0.0025 | 18.75 | 375 | 1.9789 | |
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| 0.0022 | 20.0 | 400 | 1.9908 | |
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| 0.002 | 21.25 | 425 | 1.9993 | |
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| 0.0017 | 22.5 | 450 | 2.0042 | |
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| 0.0021 | 23.75 | 475 | 2.0071 | |
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| 0.0024 | 25.0 | 500 | 2.0084 | |
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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 |
