metadata
license: mit
base_model: ayshi/basic_roberta
tags:
- generated_from_keras_callback
model-index:
- name: ayshi/basic_roberta
results: []
ayshi/basic_roberta
This model is a fine-tuned version of ayshi/basic_roberta on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1342
- Validation Loss: 0.8232
- Train Accuracy: 0.7733
- Epoch: 5
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 960, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 0.5675 | 0.8138 | 0.7556 | 0 |
| 0.4192 | 0.8947 | 0.76 | 1 |
| 0.3365 | 0.9022 | 0.7644 | 2 |
| 0.2620 | 0.9279 | 0.76 | 3 |
| 0.1945 | 0.9473 | 0.7644 | 4 |
| 0.1342 | 0.8232 | 0.7733 | 5 |
Framework versions
- Transformers 4.34.0
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.1