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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-qasc-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-qasc-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: 15.8650 |
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- Accuracy: 0.4040 |
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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 | 16.9688 | 0.2778 | |
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| No log | 2.0 | 126 | 15.2240 | 0.3737 | |
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| No log | 3.0 | 189 | 17.7866 | 0.3485 | |
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| No log | 4.0 | 252 | 17.3558 | 0.3535 | |
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| No log | 5.0 | 315 | 14.5362 | 0.3232 | |
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| No log | 6.0 | 378 | 15.8903 | 0.3687 | |
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| No log | 7.0 | 441 | 15.9517 | 0.3939 | |
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| 1.9038 | 8.0 | 504 | 18.0730 | 0.3939 | |
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| 1.9038 | 9.0 | 567 | 15.1385 | 0.3586 | |
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| 1.9038 | 10.0 | 630 | 16.3576 | 0.3737 | |
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| 1.9038 | 11.0 | 693 | 16.6174 | 0.3586 | |
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| 1.9038 | 12.0 | 756 | 15.8650 | 0.4040 | |
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| 1.9038 | 13.0 | 819 | 15.8556 | 0.3636 | |
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| 1.9038 | 14.0 | 882 | 15.6212 | 0.3788 | |
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| 1.9038 | 15.0 | 945 | 15.3199 | 0.3586 | |
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| 0.2405 | 16.0 | 1008 | 15.4362 | 0.3737 | |
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| 0.2405 | 17.0 | 1071 | 15.7245 | 0.3737 | |
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| 0.2405 | 18.0 | 1134 | 15.4229 | 0.3687 | |
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| 0.2405 | 19.0 | 1197 | 15.5387 | 0.3889 | |
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| 0.2405 | 20.0 | 1260 | 15.5974 | 0.3737 | |
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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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