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output
This model is a fine-tuned version of google/flan-t5-small on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.1039
- Rouge1: 0.1949
- Rouge2: 0.0951
- Rougel: 0.167
- Rougelsum: 0.1668
- 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: 5e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 62 | 2.2470 | 0.1958 | 0.0948 | 0.1648 | 0.1645 | 18.9798 |
| No log | 2.0 | 124 | 2.1637 | 0.1983 | 0.0963 | 0.1673 | 0.167 | 19.0 |
| No log | 3.0 | 186 | 2.1299 | 0.1954 | 0.0959 | 0.166 | 0.1658 | 19.0 |
| No log | 4.0 | 248 | 2.1078 | 0.1949 | 0.0948 | 0.1663 | 0.1662 | 19.0 |
| No log | 5.0 | 310 | 2.1039 | 0.1949 | 0.0951 | 0.167 | 0.1668 | 19.0 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
