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update model card README.md
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README.md
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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad_modified_for_t5_qg dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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- total_train_batch_size: 64
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 1.524 | 5.08 | 1500 | 1.5727 |
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| 1.4954 | 5.42 | 1600 | 1.5699 |
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| 1.4866 | 5.76 | 1700 | 1.5696 |
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| 1.5089 | 6.1 | 1800 | 1.5696 |
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| 1.4771 | 6.44 | 1900 | 1.5736 |
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| 1.4772 | 6.78 | 2000 | 1.5679 |
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### Framework versions
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad_modified_for_t5_qg dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5789
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## Model description
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- total_train_batch_size: 64
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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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| 2.5879 | 0.34 | 100 | 1.9133 |
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| 1.9688 | 0.68 | 200 | 1.7313 |
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| 1.8513 | 1.02 | 300 | 1.6691 |
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| 1.7459 | 1.36 | 400 | 1.6413 |
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| 1.7206 | 1.69 | 500 | 1.6200 |
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| 1.7026 | 2.03 | 600 | 1.6101 |
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| 1.6447 | 2.37 | 700 | 1.5983 |
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| 1.6402 | 2.71 | 800 | 1.5979 |
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| 1.6332 | 3.05 | 900 | 1.5924 |
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| 1.5953 | 3.39 | 1000 | 1.5877 |
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| 1.5922 | 3.73 | 1100 | 1.5854 |
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| 1.5832 | 4.07 | 1200 | 1.5830 |
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| 1.5726 | 4.41 | 1300 | 1.5799 |
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| 1.5587 | 4.75 | 1400 | 1.5789 |
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### Framework versions
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