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articleGeneratorV1.1
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 4.0892
- Validation Loss: 3.7369
- Train Rougel: tf.Tensor(0.09479926, shape=(), dtype=float32)
- Epoch: 3
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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 2e-05, '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 |
|---|---|---|---|
| 4.9876 | 4.0661 | tf.Tensor(0.09371002, shape=(), dtype=float32) | 0 |
| 4.3219 | 3.8884 | tf.Tensor(0.094065286, shape=(), dtype=float32) | 1 |
| 4.1754 | 3.7968 | tf.Tensor(0.094352074, shape=(), dtype=float32) | 2 |
| 4.0892 | 3.7369 | tf.Tensor(0.09479926, shape=(), dtype=float32) | 3 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.3
