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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: fresh-12-layer-medmcqa-distill-of-fresh-12-layer-gpqa |
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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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# fresh-12-layer-medmcqa-distill-of-fresh-12-layer-gpqa |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 11.3380 |
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- Accuracy: 0.5253 |
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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: 0.0005 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 321 |
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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: 500 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 63 | 14.7499 | 0.2929 | |
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| No log | 2.0 | 126 | 13.0612 | 0.3636 | |
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| No log | 3.0 | 189 | 13.1660 | 0.4293 | |
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| No log | 4.0 | 252 | 13.4796 | 0.4848 | |
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| No log | 5.0 | 315 | 11.9863 | 0.5101 | |
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| No log | 6.0 | 378 | 11.3380 | 0.5253 | |
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| No log | 7.0 | 441 | 11.5841 | 0.4242 | |
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| 4.5481 | 8.0 | 504 | 15.3570 | 0.3485 | |
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| 4.5481 | 9.0 | 567 | 14.1857 | 0.1465 | |
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| 4.5481 | 10.0 | 630 | 13.5387 | 0.1263 | |
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| 4.5481 | 11.0 | 693 | 13.4757 | 0.1566 | |
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| 4.5481 | 12.0 | 756 | 14.4836 | 0.0657 | |
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| 4.5481 | 13.0 | 819 | 13.8175 | 0.0707 | |
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| 4.5481 | 14.0 | 882 | 14.0705 | 0.1313 | |
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| 4.5481 | 15.0 | 945 | 14.3308 | 0.0 | |
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| 7.3037 | 16.0 | 1008 | 14.2806 | 0.1263 | |
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| 7.3037 | 17.0 | 1071 | 14.2719 | 0.0101 | |
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| 7.3037 | 18.0 | 1134 | 13.7977 | 0.2727 | |
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| 7.3037 | 19.0 | 1197 | 14.2746 | 0.0657 | |
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| 7.3037 | 20.0 | 1260 | 14.0949 | 0.0 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.0 |
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