distilbert-ft-test3-pipeline-retrain
This model is a fine-tuned version of thomasavare/distilbert-ft-test3 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.2268
- Train Accuracy: 0.7180
- Epoch: 2
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': 5e-07, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Epoch |
|---|---|---|
| 1.2639 | 0.7020 | 0 |
| 1.2616 | 0.6940 | 1 |
| 1.2268 | 0.7180 | 2 |
Framework versions
- Transformers 4.33.2
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3