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my_awesome_billsum_model
This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.4787
- Rouge1: 0.132
- Rouge2: 0.0438
- Rougel: 0.1098
- Rougelsum: 0.1098
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 62 | 2.7748 | 0.1235 | 0.0329 | 0.1034 | 0.1033 | 19.0 |
| No log | 2.0 | 124 | 2.5591 | 0.1279 | 0.0397 | 0.1067 | 0.1068 | 19.0 |
| No log | 3.0 | 186 | 2.4961 | 0.1298 | 0.0418 | 0.1077 | 0.1075 | 19.0 |
| No log | 4.0 | 248 | 2.4787 | 0.132 | 0.0438 | 0.1098 | 0.1098 | 19.0 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
