metadata
license: mit
base_model: roberta-base
tags:
- generated_from_keras_callback
model-index:
- name: hilariooliveira/masked-lm-tpu
results: []
hilariooliveira/masked-lm-tpu
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 9.7808
- Train Accuracy: 0.0207
- Validation Loss: 9.6495
- Validation Accuracy: 0.0228
- Epoch: 9
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': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 0.0001, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 22325, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1175, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 10.2045 | 0.0 | 10.2003 | 0.0000 | 0 |
| 10.1943 | 0.0 | 10.1822 | 0.0000 | 1 |
| 10.1738 | 0.0 | 10.1600 | 0.0000 | 2 |
| 10.1437 | 0.0000 | 10.1127 | 0.0000 | 3 |
| 10.1132 | 0.0000 | 10.0591 | 0.0000 | 4 |
| 10.0693 | 0.0002 | 9.9996 | 0.0013 | 5 |
| 9.9967 | 0.0016 | 9.9315 | 0.0086 | 6 |
| 9.9369 | 0.0068 | 9.8311 | 0.0184 | 7 |
| 9.8456 | 0.0159 | 9.7517 | 0.0217 | 8 |
| 9.7808 | 0.0207 | 9.6495 | 0.0228 | 9 |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.1
- Tokenizers 0.15.2