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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-copa-distill-of-fresh-2-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-2-layer-copa-distill-of-fresh-2-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: 22.6646 |
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- Accuracy: 0.3384 |
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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 | 22.9294 | 0.2121 | |
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| No log | 2.0 | 126 | 30.4497 | 0.2828 | |
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| No log | 3.0 | 189 | 25.8786 | 0.2576 | |
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| No log | 4.0 | 252 | 21.7507 | 0.2828 | |
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| No log | 5.0 | 315 | 20.2591 | 0.2929 | |
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| No log | 6.0 | 378 | 20.1541 | 0.3030 | |
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| No log | 7.0 | 441 | 22.8909 | 0.3283 | |
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| 2.0303 | 8.0 | 504 | 22.0673 | 0.2626 | |
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| 2.0303 | 9.0 | 567 | 22.4491 | 0.2980 | |
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| 2.0303 | 10.0 | 630 | 22.6646 | 0.3384 | |
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| 2.0303 | 11.0 | 693 | 17.0362 | 0.3182 | |
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| 2.0303 | 12.0 | 756 | 18.8820 | 0.3131 | |
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| 2.0303 | 13.0 | 819 | 17.8284 | 0.2980 | |
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| 2.0303 | 14.0 | 882 | 19.4531 | 0.2828 | |
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| 2.0303 | 15.0 | 945 | 18.5961 | 0.2727 | |
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| 0.31 | 16.0 | 1008 | 18.4590 | 0.2626 | |
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| 0.31 | 17.0 | 1071 | 18.7574 | 0.2828 | |
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| 0.31 | 18.0 | 1134 | 18.9932 | 0.2828 | |
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| 0.31 | 19.0 | 1197 | 18.0842 | 0.2980 | |
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| 0.31 | 20.0 | 1260 | 18.4719 | 0.2929 | |
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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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