metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: alk/t5-small-finetuned-cnn_dailymail-en-es
results: []
alk/t5-small-finetuned-cnn_dailymail-en-es
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: 1.9163
- Validation Loss: 1.7610
- 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 71776, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 1.9945 | 1.7837 | 0 |
| 1.9478 | 1.7694 | 1 |
| 1.9278 | 1.7646 | 2 |
| 1.9163 | 1.7610 | 3 |
Framework versions
- Transformers 4.19.0
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1