my_awesome_billsum_model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5120
- Rouge1: 0.1394
- Rouge2: 0.0526
- Rougel: 0.115
- Rougelsum: 0.1151
- 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
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
No log | 1.0 | 62 | 2.7966 | 0.1279 | 0.0411 | 0.1068 | 0.1067 | 19.0 |
No log | 2.0 | 124 | 2.5904 | 0.1355 | 0.0483 | 0.1119 | 0.112 | 19.0 |
No log | 3.0 | 186 | 2.5294 | 0.1407 | 0.0543 | 0.1161 | 0.1162 | 19.0 |
No log | 4.0 | 248 | 2.5120 | 0.1394 | 0.0526 | 0.115 | 0.1151 | 19.0 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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