my_awesome_billsum_model
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5207
- Rouge1: 0.1407
- Rouge2: 0.0455
- Rougel: 0.1148
- Rougelsum: 0.1149
- Gen Len: 20.0
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 | 2.8132 | 0.1294 | 0.0359 | 0.1064 | 0.1066 | 20.0 |
| No log | 2.0 | 124 | 2.6014 | 0.1406 | 0.0451 | 0.1148 | 0.1148 | 20.0 |
| No log | 3.0 | 186 | 2.5369 | 0.1408 | 0.0469 | 0.1159 | 0.1161 | 20.0 |
| No log | 4.0 | 248 | 2.5207 | 0.1407 | 0.0455 | 0.1148 | 0.1149 | 20.0 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2