my_awesome_billsum_model
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: 4.4448
- Rouge1: 0.1214
- Rouge2: 0.033
- Rougel: 0.1066
- Rougelsum: 0.1071
- 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 | 1 | 4.5487 | 0.1214 | 0.033 | 0.1066 | 0.1071 | 19.0 |
No log | 2.0 | 2 | 4.4965 | 0.1214 | 0.033 | 0.1066 | 0.1071 | 19.0 |
No log | 3.0 | 3 | 4.4621 | 0.1214 | 0.033 | 0.1066 | 0.1071 | 19.0 |
No log | 4.0 | 4 | 4.4448 | 0.1214 | 0.033 | 0.1066 | 0.1071 | 19.0 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.2.2
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
google-t5/t5-small