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: 2.4956
- Rouge1: 0.1416
- Rouge2: 0.0491
- Rougel: 0.1176
- Rougelsum: 0.1175
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 62 | 2.7923 | 0.1292 | 0.0404 | 0.1095 | 0.1094 | 19.0 |
| No log | 2.0 | 124 | 2.5788 | 0.1378 | 0.0491 | 0.1166 | 0.1165 | 19.0 |
| No log | 3.0 | 186 | 2.5125 | 0.1409 | 0.0486 | 0.1174 | 0.1172 | 19.0 |
| No log | 4.0 | 248 | 2.4956 | 0.1416 | 0.0491 | 0.1176 | 0.1175 | 19.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
google-t5/t5-small