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README.md
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad_v2 dataset.
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It achieves the following results on the evaluation set:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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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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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 1.8729 | 1.0 | 8235 | 1.6423 |
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| 1.6782 | 2.0 | 16470 | 1.4738 |
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| 1.6075 | 3.0 | 24705 | 1.4311 |
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### Framework versions
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- Transformers 4.20.1
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad_v2 dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.1605
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- eval_runtime: 71.6663
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- eval_samples_per_second: 169.312
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- eval_steps_per_second: 10.591
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- epoch: 2.0
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- step: 16470
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.002
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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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- lr_scheduler_type: linear
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- num_epochs: 3
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### Framework versions
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- Transformers 4.20.1
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