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README.md
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This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on the None 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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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size:
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- eval_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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| No log | 4.0 |
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| No log | 5.0 |
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| No log | 6.0 |
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| No log | 7.0 |
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| No log | 8.0 |
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| No log | 9.0 |
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| No log | 10.0 |
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| No log | 11.0 |
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| No log | 12.0 |
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| No log | 13.0 |
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| No log | 14.0 |
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| No log | 15.0 |
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7601
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## Model description
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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: 8
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- eval_batch_size: 8
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 3 | 2.3917 |
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| No log | 2.0 | 6 | 2.3782 |
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| No log | 3.0 | 9 | 2.3533 |
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| No log | 4.0 | 12 | 2.3143 |
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| No log | 5.0 | 15 | 2.2670 |
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| No log | 6.0 | 18 | 2.2112 |
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| No log | 7.0 | 21 | 2.1549 |
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| No log | 8.0 | 24 | 2.0915 |
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| No log | 9.0 | 27 | 2.0377 |
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| No log | 10.0 | 30 | 1.9545 |
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| No log | 11.0 | 33 | 1.8787 |
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| No log | 12.0 | 36 | 1.8299 |
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| No log | 13.0 | 39 | 1.7897 |
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| No log | 14.0 | 42 | 1.7662 |
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| No log | 15.0 | 45 | 1.7601 |
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### Framework versions
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