billsum
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: 2.3402
- Rouge1: 0.1948
- Rouge2: 0.0962
- Rougel: 0.1653
- Rougelsum: 0.1652
- 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 | 2.4061 | 0.1602 | 0.0637 | 0.1325 | 0.1324 | 19.0 |
No log | 2.0 | 124 | 2.3687 | 0.1901 | 0.0904 | 0.1609 | 0.161 | 19.0 |
No log | 3.0 | 186 | 2.3463 | 0.1948 | 0.0959 | 0.1655 | 0.1654 | 19.0 |
No log | 4.0 | 248 | 2.3402 | 0.1948 | 0.0962 | 0.1653 | 0.1652 | 19.0 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
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