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: 2.5578
- Rouge1: 0.1436
- Rouge2: 0.0514
- Rougel: 0.1188
- Rougelsum: 0.119
- 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 | 2.8555 | 0.1281 | 0.0376 | 0.1074 | 0.1075 | 19.0 |
| No log | 2.0 | 124 | 2.6410 | 0.137 | 0.0468 | 0.113 | 0.1131 | 19.0 |
| No log | 3.0 | 186 | 2.5749 | 0.141 | 0.0496 | 0.116 | 0.1163 | 19.0 |
| No log | 4.0 | 248 | 2.5578 | 0.1436 | 0.0514 | 0.1188 | 0.119 | 19.0 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
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