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my_awesome_billsum_model
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1538
- Rouge1: 0.1789
- Rouge2: 0.1075
- Rougel: 0.1585
- Rougelsum: 0.1584
- Gen Len: 19.0
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
0.2372 | 1.0 | 1635 | 0.1729 | 0.1764 | 0.1032 | 0.1554 | 0.1553 | 19.0 |
0.2077 | 2.0 | 3270 | 0.1602 | 0.1774 | 0.1054 | 0.1569 | 0.1567 | 19.0 |
0.197 | 3.0 | 4905 | 0.1550 | 0.1788 | 0.1073 | 0.1584 | 0.1583 | 19.0 |
0.1924 | 4.0 | 6540 | 0.1538 | 0.1789 | 0.1075 | 0.1585 | 0.1584 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2