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--- |
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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-2-layer-medmcqa50000-distill-of-fresh-2-layer-mmlu_EVAL_mmlu |
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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-2-layer-medmcqa50000-distill-of-fresh-2-layer-mmlu_EVAL_mmlu |
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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: 178.1362 |
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- Accuracy: 0.4510 |
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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: 32 |
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- eval_batch_size: 32 |
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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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- training_steps: 5000 |
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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 | 0.06 | 100 | 200.7935 | 0.24 | |
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| No log | 0.13 | 200 | 195.0955 | 0.322 | |
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| No log | 0.19 | 300 | 199.3146 | 0.348 | |
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| No log | 0.26 | 400 | 181.3482 | 0.378 | |
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| 141.8956 | 0.32 | 500 | 183.5053 | 0.406 | |
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| 141.8956 | 0.38 | 600 | 175.3492 | 0.414 | |
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| 141.8956 | 0.45 | 700 | 179.5743 | 0.44 | |
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| 141.8956 | 0.51 | 800 | 178.0992 | 0.456 | |
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| 141.8956 | 0.58 | 900 | 167.6717 | 0.458 | |
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| 92.2658 | 0.64 | 1000 | 173.9797 | 0.422 | |
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| 92.2658 | 0.7 | 1100 | 177.7031 | 0.44 | |
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| 92.2658 | 0.77 | 1200 | 176.5930 | 0.45 | |
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| 92.2658 | 0.83 | 1300 | 184.5445 | 0.45 | |
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| 92.2658 | 0.9 | 1400 | 180.6332 | 0.466 | |
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| 80.2568 | 0.96 | 1500 | 180.5694 | 0.462 | |
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| 80.2568 | 1.02 | 1600 | 173.9805 | 0.462 | |
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| 80.2568 | 1.09 | 1700 | 168.0511 | 0.46 | |
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| 80.2568 | 1.15 | 1800 | 177.9322 | 0.458 | |
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| 80.2568 | 1.22 | 1900 | 172.7217 | 0.462 | |
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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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