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: 2.5082
- Rouge1: 0.1402
- Rouge2: 0.0523
- Rougel: 0.1162
- Rougelsum: 0.1161
- 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 | 2.7935 | 0.1264 | 0.0398 | 0.1072 | 0.1071 | 19.0 |
No log | 2.0 | 124 | 2.5870 | 0.1345 | 0.0471 | 0.111 | 0.1107 | 19.0 |
No log | 3.0 | 186 | 2.5237 | 0.1402 | 0.0525 | 0.1157 | 0.1157 | 19.0 |
No log | 4.0 | 248 | 2.5082 | 0.1402 | 0.0523 | 0.1162 | 0.1161 | 19.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0
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