my_awesome_billsum_model
This model is a fine-tuned version of google-t5/t5-small on billsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.5938
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0122 | 1.0 | 1185 | 1.7068 |
| 1.8673 | 2.0 | 2370 | 1.6324 |
| 1.8146 | 3.0 | 3555 | 1.6014 |
| 1.7934 | 4.0 | 4740 | 1.5938 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
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Base model
google-t5/t5-small