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Summarizer
This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.5839
- Rouge1: 0.1389
- Rouge2: 0.0499
- Rougel: 0.1146
- Rougelsum: 0.1149
- 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 | 2.8808 | 0.1316 | 0.0399 | 0.11 | 0.1099 | 19.0 |
No log | 2.0 | 124 | 2.6657 | 0.1414 | 0.0505 | 0.1164 | 0.1164 | 19.0 |
No log | 3.0 | 186 | 2.6011 | 0.14 | 0.0512 | 0.1157 | 0.116 | 19.0 |
No log | 4.0 | 248 | 2.5839 | 0.1389 | 0.0499 | 0.1146 | 0.1149 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cpu
- Datasets 2.11.0
- Tokenizers 0.13.3