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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-piqa10000-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-piqa10000-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: 12.9939 |
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- Accuracy: 0.5101 |
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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 | 0.32 | 100 | 19.1271 | 0.2879 | |
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| No log | 0.64 | 200 | 13.9385 | 0.3687 | |
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| No log | 0.96 | 300 | 13.3742 | 0.4040 | |
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| No log | 1.28 | 400 | 13.6512 | 0.4293 | |
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| 2.752 | 1.6 | 500 | 13.0455 | 0.3838 | |
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| 2.752 | 1.92 | 600 | 15.1798 | 0.4293 | |
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| 2.752 | 2.24 | 700 | 13.8055 | 0.4545 | |
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| 2.752 | 2.56 | 800 | 13.9917 | 0.4394 | |
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| 2.752 | 2.88 | 900 | 13.5923 | 0.4899 | |
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| 0.9799 | 3.19 | 1000 | 13.3283 | 0.4545 | |
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| 0.9799 | 3.51 | 1100 | 12.5037 | 0.4798 | |
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| 0.9799 | 3.83 | 1200 | 13.9429 | 0.4545 | |
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| 0.9799 | 4.15 | 1300 | 12.9939 | 0.5101 | |
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| 0.9799 | 4.47 | 1400 | 13.7332 | 0.4899 | |
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| 0.5295 | 4.79 | 1500 | 13.9869 | 0.4596 | |
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| 0.5295 | 5.11 | 1600 | 12.5349 | 0.4747 | |
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| 0.5295 | 5.43 | 1700 | 12.5107 | 0.5 | |
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| 0.5295 | 5.75 | 1800 | 13.0188 | 0.5 | |
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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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