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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: 1.6404 |
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- Accuracy: 0.4 |
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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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| 1.4566 | 1.0 | 1724 | 1.3690 | 0.3 | |
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| 1.2925 | 2.0 | 3448 | 1.3269 | 0.4 | |
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| 1.1812 | 3.0 | 5172 | 1.3479 | 0.35 | |
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| 1.0807 | 4.0 | 6896 | 1.3464 | 0.35 | |
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| 0.9799 | 5.0 | 8620 | 1.3757 | 0.4 | |
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| 0.8792 | 6.0 | 10344 | 1.5018 | 0.45 | |
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| 0.7843 | 7.0 | 12068 | 1.6404 | 0.4 | |
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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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