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update model card README.md
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README.md
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# t5-ft-billsum
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-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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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 |
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### Framework versions
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# t5-ft-billsum
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2752
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 10
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- eval_batch_size: 10
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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: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 99 | 2.6250 |
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| No log | 2.0 | 198 | 2.4587 |
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| No log | 3.0 | 297 | 2.3865 |
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| No log | 4.0 | 396 | 2.3431 |
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| No log | 5.0 | 495 | 2.3226 |
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| 2.7775 | 6.0 | 594 | 2.3019 |
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| 2.7775 | 7.0 | 693 | 2.2882 |
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| 2.7775 | 8.0 | 792 | 2.2802 |
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| 2.7775 | 9.0 | 891 | 2.2764 |
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| 2.7775 | 10.0 | 990 | 2.2752 |
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### Framework versions
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