mjbbillsum
This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.4183
- Rouge1: 0.1478
- Rouge2: 0.0585
- Rougel: 0.1231
- Rougelsum: 0.123
- 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 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 62 | 2.7090 | 0.1274 | 0.0373 | 0.1065 | 0.1064 | 19.0 |
| No log | 2.0 | 124 | 2.4964 | 0.1426 | 0.0527 | 0.1181 | 0.1181 | 19.0 |
| No log | 3.0 | 186 | 2.4356 | 0.1451 | 0.0566 | 0.1212 | 0.1211 | 19.0 |
| No log | 4.0 | 248 | 2.4183 | 0.1478 | 0.0585 | 0.1231 | 0.123 | 19.0 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.10.0
- Tokenizers 0.11.0