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README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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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: 2e-
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- train_batch_size: 12
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- eval_batch_size: 12
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 | 86 |
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| No log | 2.0 | 172 |
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| No log | 3.0 | 258 |
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.3535
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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: 2e-06
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- train_batch_size: 12
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- eval_batch_size: 12
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 86 | 5.6620 |
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| No log | 2.0 | 172 | 5.4415 |
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| No log | 3.0 | 258 | 5.3535 |
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### Framework versions
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