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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-swag5000-distill-of-fresh-2-layer-gpqa_EVAL_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-swag5000-distill-of-fresh-2-layer-gpqa_EVAL_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: 15.3688 |
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- Accuracy: 0.4141 |
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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 | 0.64 | 100 | 16.2017 | 0.2677 | |
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| No log | 1.27 | 200 | 17.0596 | 0.3384 | |
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| No log | 1.91 | 300 | 20.5674 | 0.3283 | |
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| No log | 2.55 | 400 | 15.3688 | 0.4141 | |
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| 2.2006 | 3.18 | 500 | 16.3588 | 0.4141 | |
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| 2.2006 | 3.82 | 600 | 16.3945 | 0.3889 | |
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| 2.2006 | 4.46 | 700 | 16.1531 | 0.3990 | |
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| 2.2006 | 5.1 | 800 | 15.7578 | 0.3535 | |
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| 2.2006 | 5.73 | 900 | 17.6009 | 0.3838 | |
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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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