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cv_summarization-distilbart-cnn-16-6
This model is a fine-tuned version of philschmid/tf-distilbart-cnn-12-6 on cnn_dailymail dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1445
- Validation Loss: 0.4524
- Epoch: 4
- Rouge1: 76.90
- Rouge2: 73.30
- RougeL: 76.04
- RougeLsum: 75.87
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:
- optimizer: {'name': 'Adam', 'learning_rate': 2e-05}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 0.7265 | 0.4665 | 0 |
| 0.3192 | 0.4480 | 1 |
| 0.2154 | 0.4395 | 2 |
| 0.1587 | 0.4668 | 3 |
| 0.1445 | 0.4524 | 4 |
Framework versions
- Transformers 4.30.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
