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--- |
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license: apache-2.0 |
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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: BERT_MC_OpenBookQA_w_wrong_context |
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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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# BERT_MC_OpenBookQA_w_wrong_context |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7450 |
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- Accuracy: 0.922 |
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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-05 |
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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: 11 |
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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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| 0.3525 | 1.0 | 1859 | 0.2696 | 0.906 | |
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| 0.2084 | 2.0 | 3718 | 0.3284 | 0.9143 | |
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| 0.1263 | 3.0 | 5577 | 0.4205 | 0.9143 | |
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| 0.0734 | 4.0 | 7436 | 0.4688 | 0.9203 | |
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| 0.0437 | 5.0 | 9295 | 0.6266 | 0.9173 | |
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| 0.0357 | 6.0 | 11154 | 0.6934 | 0.9207 | |
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| 0.0264 | 7.0 | 13013 | 0.6947 | 0.92 | |
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| 0.0098 | 8.0 | 14872 | 0.6800 | 0.9197 | |
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| 0.0104 | 9.0 | 16731 | 0.7393 | 0.923 | |
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| 0.0067 | 10.0 | 18590 | 0.7846 | 0.9217 | |
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| 0.0034 | 11.0 | 20449 | 0.7450 | 0.922 | |
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### Framework versions |
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- Transformers 4.21.3 |
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- Pytorch 1.12.1 |
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- Datasets 2.5.1 |
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- Tokenizers 0.11.0 |
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