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summarization-mT5-base-allXsum_20230203
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.3421
- Validation Loss: 2.0134
- Train Rougel: tf.Tensor(0.23906478, shape=(), dtype=float32)
- Epoch: 2
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, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Rougel | Epoch |
|---|---|---|---|
| 3.3550 | 2.2262 | tf.Tensor(0.21612057, shape=(), dtype=float32) | 0 |
| 2.5083 | 2.0820 | tf.Tensor(0.23286958, shape=(), dtype=float32) | 1 |
| 2.3421 | 2.0134 | tf.Tensor(0.23906478, shape=(), dtype=float32) | 2 |
Framework versions
- Transformers 4.26.0
- TensorFlow 2.9.2
- Datasets 2.9.0
- Tokenizers 0.13.2
