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--- |
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license: apache-2.0 |
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base_model: google/electra-base-discriminator |
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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: electra_multiple_choice |
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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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# electra_multiple_choice |
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This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4687 |
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- Accuracy: 0.55 |
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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-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 100 |
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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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| 1.6127 | 1.0 | 12 | 1.6036 | 0.4 | |
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| 1.6001 | 2.0 | 24 | 1.5999 | 0.4 | |
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| 1.5916 | 3.0 | 36 | 1.5950 | 0.5 | |
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| 1.5849 | 4.0 | 48 | 1.5886 | 0.45 | |
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| 1.5793 | 5.0 | 60 | 1.5803 | 0.35 | |
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| 1.5642 | 6.0 | 72 | 1.5700 | 0.45 | |
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| 1.5416 | 7.0 | 84 | 1.5605 | 0.35 | |
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| 1.5106 | 8.0 | 96 | 1.5492 | 0.35 | |
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| 1.479 | 9.0 | 108 | 1.5357 | 0.35 | |
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| 1.443 | 10.0 | 120 | 1.5292 | 0.4 | |
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| 1.4114 | 11.0 | 132 | 1.5169 | 0.35 | |
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| 1.3505 | 12.0 | 144 | 1.5082 | 0.35 | |
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| 1.2985 | 13.0 | 156 | 1.5072 | 0.35 | |
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| 1.2493 | 14.0 | 168 | 1.4992 | 0.35 | |
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| 1.1686 | 15.0 | 180 | 1.4915 | 0.4 | |
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| 1.1307 | 16.0 | 192 | 1.4833 | 0.4 | |
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| 1.0781 | 17.0 | 204 | 1.4744 | 0.3 | |
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| 1.0179 | 18.0 | 216 | 1.4659 | 0.5 | |
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| 0.947 | 19.0 | 228 | 1.4576 | 0.5 | |
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| 0.9518 | 20.0 | 240 | 1.4522 | 0.5 | |
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| 0.8961 | 21.0 | 252 | 1.4535 | 0.45 | |
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| 0.8691 | 22.0 | 264 | 1.4598 | 0.45 | |
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| 0.8041 | 23.0 | 276 | 1.4512 | 0.45 | |
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| 0.7875 | 24.0 | 288 | 1.4568 | 0.45 | |
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| 0.7282 | 25.0 | 300 | 1.4601 | 0.45 | |
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| 0.7203 | 26.0 | 312 | 1.4595 | 0.5 | |
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| 0.6602 | 27.0 | 324 | 1.4606 | 0.5 | |
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| 0.6311 | 28.0 | 336 | 1.4687 | 0.55 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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