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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: 1.4645 |
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- Accuracy: 0.498 |
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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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| 1.5522 | 1.0 | 375 | 1.4354 | 0.456 | |
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| 1.3851 | 2.0 | 750 | 1.3471 | 0.468 | |
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| 1.2672 | 3.0 | 1125 | 1.2887 | 0.486 | |
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| 1.1756 | 4.0 | 1500 | 1.2594 | 0.506 | |
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| 1.0738 | 5.0 | 1875 | 1.2746 | 0.508 | |
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| 0.9818 | 6.0 | 2250 | 1.3388 | 0.508 | |
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| 0.8955 | 7.0 | 2625 | 1.3723 | 0.502 | |
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| 0.8209 | 8.0 | 3000 | 1.3901 | 0.496 | |
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| 0.7445 | 9.0 | 3375 | 1.4645 | 0.498 | |
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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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