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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: 1.4409 |
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- Accuracy: 0.61 |
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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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| 1.4503 | 1.0 | 1713 | 1.2659 | 0.485 | |
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| 1.2726 | 2.0 | 3426 | 1.1611 | 0.52 | |
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| 1.1661 | 3.0 | 5139 | 1.0906 | 0.56 | |
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| 1.0649 | 4.0 | 6852 | 1.0425 | 0.58 | |
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| 0.9637 | 5.0 | 8565 | 1.0425 | 0.61 | |
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| 0.8681 | 6.0 | 10278 | 1.0039 | 0.62 | |
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| 0.7704 | 7.0 | 11991 | 1.0983 | 0.625 | |
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| 0.6871 | 8.0 | 13704 | 1.2018 | 0.62 | |
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| 0.6137 | 9.0 | 15417 | 1.2758 | 0.615 | |
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| 0.55 | 10.0 | 17130 | 1.3500 | 0.595 | |
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| 0.4966 | 11.0 | 18843 | 1.4409 | 0.61 | |
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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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