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--- |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- super_glue |
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metrics: |
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- accuracy |
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model-index: |
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- name: superglue_rte-gpt2 |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: super_glue |
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type: super_glue |
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config: rte |
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split: validation |
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args: rte |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.5434782608695652 |
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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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# superglue_rte-gpt2 |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the super_glue dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.4821 |
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- Accuracy: 0.5435 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 32 |
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- seed: 42 |
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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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- 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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| 0.778 | 1.0 | 623 | 0.6845 | 0.5797 | |
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| 0.7042 | 2.0 | 1246 | 0.6909 | 0.5797 | |
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| 0.7022 | 3.0 | 1869 | 0.6608 | 0.5507 | |
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| 0.7145 | 4.0 | 2492 | 0.7206 | 0.5797 | |
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| 0.6183 | 5.0 | 3115 | 0.8510 | 0.5435 | |
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| 0.5855 | 6.0 | 3738 | 1.7010 | 0.5362 | |
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| 0.5468 | 7.0 | 4361 | 2.3186 | 0.5362 | |
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| 0.4411 | 8.0 | 4984 | 2.6790 | 0.5435 | |
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| 0.3226 | 9.0 | 5607 | 2.6486 | 0.5507 | |
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| 0.2479 | 10.0 | 6230 | 3.2958 | 0.5362 | |
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| 0.1632 | 11.0 | 6853 | 3.3893 | 0.5290 | |
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| 0.1526 | 12.0 | 7476 | 3.2382 | 0.5942 | |
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| 0.1127 | 13.0 | 8099 | 4.0889 | 0.4855 | |
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| 0.0902 | 14.0 | 8722 | 3.7049 | 0.5580 | |
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| 0.0997 | 15.0 | 9345 | 3.6377 | 0.5290 | |
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| 0.083 | 16.0 | 9968 | 3.6723 | 0.6087 | |
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| 0.0612 | 17.0 | 10591 | 4.2905 | 0.5870 | |
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| 0.0357 | 18.0 | 11214 | 4.4611 | 0.5145 | |
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| 0.0643 | 19.0 | 11837 | 4.4033 | 0.5217 | |
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| 0.0348 | 20.0 | 12460 | 4.4821 | 0.5435 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.15.0 |
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- Tokenizers 0.13.3 |
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