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@@ -12,6 +12,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 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_steps: 6000
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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