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t5-small-finetuned-billsum_4Epochs
This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.9033
- Rouge1: 21.3676
- Rouge2: 13.1573
- Rougel: 18.9799
- Rougelsum: 19.4314
- 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 |
|---|---|---|---|---|---|---|---|---|
| 3.2306 | 1.0 | 1185 | 2.9474 | 21.1715 | 12.9398 | 18.8515 | 19.2733 | 19.0 |
| 3.1802 | 2.0 | 2370 | 2.9134 | 21.3066 | 13.1019 | 18.9418 | 19.3806 | 19.0 |
| 3.1553 | 3.0 | 3555 | 2.9033 | 21.3676 | 13.1573 | 18.9799 | 19.4314 | 19.0 |
| 3.1557 | 4.0 | 4740 | 2.9033 | 21.3676 | 13.1573 | 18.9799 | 19.4314 | 19.0 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
