my_awesome_billsum_model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4633
- Rouge1: 0.1168
- Rouge2: 0.0244
- Rougel: 0.0933
- Rougelsum: 0.0933
- 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 | 261 | 3.6283 | 0.0812 | 0.0153 | 0.0636 | 0.0637 | 19.0 |
| 4.0281 | 2.0 | 522 | 3.5141 | 0.1064 | 0.0206 | 0.0846 | 0.0845 | 19.0 |
| 4.0281 | 3.0 | 783 | 3.4741 | 0.1154 | 0.0242 | 0.092 | 0.092 | 19.0 |
| 3.7182 | 4.0 | 1044 | 3.4633 | 0.1168 | 0.0244 | 0.0933 | 0.0933 | 19.0 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2