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README.md
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# unifiedqa-v2-t5-base-1363200-finetuned-causalqa-squad
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This model is a fine-tuned version of [allenai/unifiedqa-v2-t5-base-1363200](https://huggingface.co/allenai/unifiedqa-v2-t5-base-1363200) on the None dataset.
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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: 2
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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 results
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### Framework versions
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# unifiedqa-v2-t5-base-1363200-finetuned-causalqa-squad
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This model is a fine-tuned version of [allenai/unifiedqa-v2-t5-base-1363200](https://huggingface.co/allenai/unifiedqa-v2-t5-base-1363200) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.7560
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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: 2
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- eval_batch_size: 2
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.1892 | 1.0 | 1479 | 3.7610 |
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| 0.1514 | 2.0 | 2958 | 4.1694 |
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| 0.0807 | 3.0 | 4437 | 4.5543 |
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| 0.0381 | 4.0 | 5916 | 4.6654 |
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| 0.0377 | 5.0 | 7395 | 4.7560 |
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### Framework versions
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