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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-qasc2000-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-qasc2000-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: 207.2272 |
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- Accuracy: 0.3112 |
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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 | 1.59 | 100 | 201.7617 | 0.23 | |
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| No log | 3.17 | 200 | 215.9669 | 0.294 | |
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| No log | 4.76 | 300 | 202.8176 | 0.334 | |
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| No log | 6.35 | 400 | 207.7114 | 0.356 | |
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| 92.1591 | 7.94 | 500 | 219.4992 | 0.322 | |
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| 92.1591 | 9.52 | 600 | 219.8570 | 0.346 | |
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| 92.1591 | 11.11 | 700 | 214.9255 | 0.352 | |
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| 92.1591 | 12.7 | 800 | 216.3126 | 0.336 | |
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| 92.1591 | 14.29 | 900 | 216.1720 | 0.328 | |
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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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