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t5-ft-billsum
This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.2752
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 99 | 2.6250 |
| No log | 2.0 | 198 | 2.4587 |
| No log | 3.0 | 297 | 2.3865 |
| No log | 4.0 | 396 | 2.3431 |
| No log | 5.0 | 495 | 2.3226 |
| 2.7775 | 6.0 | 594 | 2.3019 |
| 2.7775 | 7.0 | 693 | 2.2882 |
| 2.7775 | 8.0 | 792 | 2.2802 |
| 2.7775 | 9.0 | 891 | 2.2764 |
| 2.7775 | 10.0 | 990 | 2.2752 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.6.0
- Datasets 2.0.0
- Tokenizers 0.11.6
