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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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- bigbench |
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metrics: |
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- accuracy |
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model-index: |
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- name: bigbench_entailedpolarity-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: bigbench |
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type: bigbench |
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config: entailed_polarity |
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split: train |
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args: entailed_polarity |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9166666666666666 |
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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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# bigbench_entailedpolarity-gpt2 |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the bigbench dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0213 |
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- Accuracy: 0.9167 |
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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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| No log | 1.0 | 24 | 0.5201 | 0.875 | |
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| No log | 2.0 | 48 | 0.3512 | 0.875 | |
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| No log | 3.0 | 72 | 0.4245 | 0.8333 | |
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| No log | 4.0 | 96 | 0.3220 | 0.9167 | |
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| No log | 5.0 | 120 | 0.3962 | 0.875 | |
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| No log | 6.0 | 144 | 0.5551 | 0.875 | |
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| No log | 7.0 | 168 | 0.8597 | 0.875 | |
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| No log | 8.0 | 192 | 0.4610 | 0.9583 | |
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| No log | 9.0 | 216 | 0.9003 | 0.9167 | |
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| No log | 10.0 | 240 | 0.8778 | 0.9167 | |
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| No log | 11.0 | 264 | 0.9036 | 0.9167 | |
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| No log | 12.0 | 288 | 0.9188 | 0.9167 | |
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| No log | 13.0 | 312 | 1.0192 | 0.9167 | |
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| No log | 14.0 | 336 | 0.9984 | 0.9167 | |
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| No log | 15.0 | 360 | 0.9718 | 0.9167 | |
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| No log | 16.0 | 384 | 0.9882 | 0.9167 | |
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| No log | 17.0 | 408 | 1.0189 | 0.9167 | |
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| No log | 18.0 | 432 | 1.0210 | 0.9167 | |
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| No log | 19.0 | 456 | 1.0211 | 0.9167 | |
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| No log | 20.0 | 480 | 1.0213 | 0.9167 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 1.10.1+cu102 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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