T5-Finetuned-INlegaldocsum
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: 2.6619
- Validation Loss: 2.2688
- Train Rougel: tf.Tensor(0.1290423, shape=(), dtype=float32)
- Epoch: 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:
- 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': 1e-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 |
|---|---|---|---|
| 2.6619 | 2.2688 | tf.Tensor(0.1290423, shape=(), dtype=float32) | 0 |
Framework versions
- Transformers 4.20.0
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.12.1