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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-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-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: 0.1852 |
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- Accuracy: 0.9394 |
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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 | 13 | 1.3865 | 0.2677 | |
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| No log | 2.0 | 26 | 1.3857 | 0.2374 | |
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| No log | 3.0 | 39 | 1.3852 | 0.2475 | |
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| No log | 4.0 | 52 | 1.3852 | 0.2929 | |
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| No log | 5.0 | 65 | 1.3847 | 0.2929 | |
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| No log | 6.0 | 78 | 1.3844 | 0.3081 | |
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| No log | 7.0 | 91 | 1.3839 | 0.2980 | |
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| No log | 8.0 | 104 | 1.3800 | 0.3081 | |
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| No log | 9.0 | 117 | 1.3751 | 0.3535 | |
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| No log | 10.0 | 130 | 1.2007 | 0.6263 | |
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| No log | 11.0 | 143 | 0.9272 | 0.6515 | |
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| No log | 12.0 | 156 | 1.0185 | 0.6768 | |
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| No log | 13.0 | 169 | 0.6580 | 0.7424 | |
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| No log | 14.0 | 182 | 0.4847 | 0.7828 | |
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| No log | 15.0 | 195 | 0.3170 | 0.8384 | |
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| No log | 16.0 | 208 | 0.2830 | 0.8485 | |
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| No log | 17.0 | 221 | 0.3068 | 0.9192 | |
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| No log | 18.0 | 234 | 0.2519 | 0.9141 | |
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| No log | 19.0 | 247 | 0.2426 | 0.9343 | |
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| No log | 20.0 | 260 | 0.1852 | 0.9394 | |
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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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