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README.md
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---
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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_from_scratch
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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_from_scratch
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0814
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- Accuracy: 0.43
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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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| No log | 1.0 | 310 | 1.2619 | 0.432 |
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| 1.2135 | 2.0 | 620 | 1.2666 | 0.464 |
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| 1.2135 | 3.0 | 930 | 1.3075 | 0.468 |
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| 0.9218 | 4.0 | 1240 | 1.7939 | 0.472 |
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| 0.6445 | 5.0 | 1550 | 1.8010 | 0.466 |
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| 0.6445 | 6.0 | 1860 | 2.0985 | 0.458 |
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| 0.4739 | 7.0 | 2170 | 2.2625 | 0.45 |
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| 0.4739 | 8.0 | 2480 | 2.0681 | 0.438 |
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| 0.3331 | 9.0 | 2790 | 2.5331 | 0.432 |
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| 0.2402 | 10.0 | 3100 | 3.1121 | 0.434 |
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| 0.2402 | 11.0 | 3410 | 3.0814 | 0.43 |
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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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