metadata
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: dspa
results: []
dspa
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.6069
- Validation Loss: 0.6854
- Epoch: 1
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', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 142110, '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}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 0.8363 | 0.6965 | 0 |
| 0.6069 | 0.6854 | 1 |
Framework versions
- Transformers 4.21.0
- TensorFlow 2.9.1
- Datasets 2.4.0
- Tokenizers 0.12.1