metadata
tags:
- generated_from_keras_callback
model-index:
- name: nathanReitinger/mlcb
results: []
nathanReitinger/mlcb
This model is a fine-tuned version of dbernsohn/roberta-javascript on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0463
- Validation Loss: 0.0930
- Train Accuracy: 0.9708
- Epoch: 4
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': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 910, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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 |
|---|---|---|---|
| 0.1291 | 0.1235 | 0.9693 | 0 |
| 0.0874 | 0.1073 | 0.9662 | 1 |
| 0.0720 | 0.1026 | 0.9677 | 2 |
| 0.0588 | 0.0950 | 0.9708 | 3 |
| 0.0463 | 0.0930 | 0.9708 | 4 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.11.0
- Datasets 2.13.2
- Tokenizers 0.13.3