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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: 2.3454 |
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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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| 1.9049 | 1.1905 | 25 | 1.3198 | |
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| 0.8341 | 2.3810 | 50 | 1.3278 | |
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| 0.4251 | 3.5714 | 75 | 1.4843 | |
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| 0.1704 | 4.7619 | 100 | 1.6038 | |
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| 0.0957 | 5.9524 | 125 | 1.8290 | |
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| 0.0481 | 7.1429 | 150 | 2.0425 | |
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| 0.0378 | 8.3333 | 175 | 1.9429 | |
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| 0.0143 | 9.5238 | 200 | 2.2196 | |
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| 0.012 | 10.7143 | 225 | 2.1719 | |
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| 0.013 | 11.9048 | 250 | 2.1323 | |
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| 0.0069 | 13.0952 | 275 | 2.1442 | |
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| 0.0043 | 14.2857 | 300 | 2.1642 | |
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| 0.0033 | 15.4762 | 325 | 2.2483 | |
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| 0.0029 | 16.6667 | 350 | 2.2829 | |
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| 0.0024 | 17.8571 | 375 | 2.2906 | |
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| 0.0027 | 19.0476 | 400 | 2.3140 | |
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| 0.0023 | 20.2381 | 425 | 2.3269 | |
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| 0.0019 | 21.4286 | 450 | 2.3399 | |
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| 0.0021 | 22.6190 | 475 | 2.3443 | |
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| 0.0022 | 23.8095 | 500 | 2.3454 | |
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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 |
