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: 2.5511
- Rouge1: 0.1358
- Rouge2: 0.0458
- Rougel: 0.1116
- Rougelsum: 0.1113
- 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 | 2.8353 | 0.1233 | 0.0371 | 0.1035 | 0.1034 | 19.0 |
No log | 2.0 | 124 | 2.6321 | 0.1307 | 0.0446 | 0.109 | 0.1089 | 19.0 |
No log | 3.0 | 186 | 2.5682 | 0.134 | 0.0459 | 0.1104 | 0.1101 | 19.0 |
No log | 4.0 | 248 | 2.5511 | 0.1358 | 0.0458 | 0.1116 | 0.1113 | 19.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0.post301
- Datasets 2.14.7
- Tokenizers 0.14.1
- Downloads last month
- 8