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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: 0.1882 |
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- Accuracy: 0.97 |
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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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| 1.4562 | 1.0 | 1725 | 1.2637 | 0.46 | |
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| 1.2814 | 2.0 | 3450 | 1.0774 | 0.55 | |
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| 1.1775 | 3.0 | 5175 | 0.9072 | 0.675 | |
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| 1.069 | 4.0 | 6900 | 0.7319 | 0.72 | |
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| 0.9674 | 5.0 | 8625 | 0.6151 | 0.78 | |
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| 0.8679 | 6.0 | 10350 | 0.5140 | 0.825 | |
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| 0.7673 | 7.0 | 12075 | 0.4306 | 0.84 | |
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| 0.6849 | 8.0 | 13800 | 0.3721 | 0.87 | |
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| 0.6147 | 9.0 | 15525 | 0.3286 | 0.885 | |
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| 0.5522 | 10.0 | 17250 | 0.2913 | 0.895 | |
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| 0.4936 | 11.0 | 18975 | 0.2785 | 0.915 | |
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| 0.4532 | 12.0 | 20700 | 0.2467 | 0.91 | |
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| 0.4107 | 13.0 | 22425 | 0.2226 | 0.93 | |
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| 0.3825 | 14.0 | 24150 | 0.2073 | 0.945 | |
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| 0.3492 | 15.0 | 25875 | 0.2027 | 0.93 | |
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| 0.3189 | 16.0 | 27600 | 0.2269 | 0.925 | |
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| 0.2977 | 17.0 | 29325 | 0.2412 | 0.93 | |
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| 0.2817 | 18.0 | 31050 | 0.1913 | 0.935 | |
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| 0.266 | 19.0 | 32775 | 0.1517 | 0.94 | |
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| 0.2437 | 20.0 | 34500 | 0.2012 | 0.935 | |
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| 0.234 | 21.0 | 36225 | 0.1600 | 0.935 | |
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| 0.2195 | 22.0 | 37950 | 0.1688 | 0.955 | |
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| 0.2002 | 23.0 | 39675 | 0.1347 | 0.955 | |
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| 0.1987 | 24.0 | 41400 | 0.1976 | 0.95 | |
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| 0.1858 | 25.0 | 43125 | 0.1568 | 0.955 | |
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| 0.1784 | 26.0 | 44850 | 0.1453 | 0.955 | |
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| 0.169 | 27.0 | 46575 | 0.1547 | 0.955 | |
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| 0.1597 | 28.0 | 48300 | 0.1882 | 0.97 | |
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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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