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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: 2.4718
- Rouge1: 0.1403
- Rouge2: 0.0513
- Rougel: 0.1171
- Rougelsum: 0.1172
- 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 | 2.7566 | 0.126 | 0.0373 | 0.1065 | 0.1065 | 19.0 |
No log | 2.0 | 124 | 2.5517 | 0.1303 | 0.0426 | 0.1091 | 0.1094 | 19.0 |
No log | 3.0 | 186 | 2.4886 | 0.1374 | 0.0486 | 0.1144 | 0.1145 | 19.0 |
No log | 4.0 | 248 | 2.4718 | 0.1403 | 0.0513 | 0.1171 | 0.1172 | 19.0 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1
- Datasets 2.13.1
- Tokenizers 0.13.3