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--- |
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license: llama2 |
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base_model: lmsys/vicuna-7b-v1.5 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: finetune_mc_20_cot |
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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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# finetune_mc_20_cot |
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This model is a fine-tuned version of [lmsys/vicuna-7b-v1.5](https://huggingface.co/lmsys/vicuna-7b-v1.5) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.0612 |
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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: 0.0001 |
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- train_batch_size: 4 |
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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: 5 |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8917 | 1.0 | 70 | 1.7411 | |
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| 0.2135 | 2.0 | 140 | 2.3727 | |
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| 0.1702 | 3.0 | 210 | 2.5470 | |
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| 0.1234 | 4.0 | 280 | 2.8131 | |
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| 0.0843 | 5.0 | 350 | 3.0446 | |
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| 0.0478 | 6.0 | 420 | 3.1141 | |
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| 0.0473 | 7.0 | 490 | 3.2304 | |
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| 0.0544 | 8.0 | 560 | 3.3806 | |
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| 0.0289 | 9.0 | 630 | 3.4231 | |
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| 0.0202 | 10.0 | 700 | 3.5503 | |
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| 0.0214 | 11.0 | 770 | 3.5892 | |
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| 0.0261 | 12.0 | 840 | 3.7211 | |
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| 0.0232 | 13.0 | 910 | 3.8148 | |
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| 0.0242 | 14.0 | 980 | 3.8177 | |
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| 0.0198 | 15.0 | 1050 | 3.9079 | |
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| 0.018 | 16.0 | 1120 | 3.9320 | |
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| 0.0196 | 17.0 | 1190 | 3.9807 | |
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| 0.0179 | 18.0 | 1260 | 4.0263 | |
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| 0.0194 | 19.0 | 1330 | 4.0520 | |
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| 0.0169 | 20.0 | 1400 | 4.0612 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.13.1 |
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- Tokenizers 0.14.1 |
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