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: 2.3836
- Rouge1: 0.1701
- Rouge2: 0.0733
- Rougel: 0.1407
- Rougelsum: 0.1409
- 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: 6
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
No log | 1.0 | 62 | 2.7648 | 0.1278 | 0.0356 | 0.1063 | 0.1065 | 19.0 |
No log | 2.0 | 124 | 2.5305 | 0.1392 | 0.0499 | 0.1154 | 0.1155 | 19.0 |
No log | 3.0 | 186 | 2.4508 | 0.148 | 0.0544 | 0.1215 | 0.1219 | 19.0 |
No log | 4.0 | 248 | 2.4118 | 0.1564 | 0.0631 | 0.1292 | 0.1295 | 19.0 |
No log | 5.0 | 310 | 2.3901 | 0.1685 | 0.0727 | 0.1393 | 0.1395 | 19.0 |
No log | 6.0 | 372 | 2.3836 | 0.1701 | 0.0733 | 0.1407 | 0.1409 | 19.0 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Downloads last month
- 1