<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->
gor1/my_awesome_model_tweets_A2
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: 0.1092
- Validation Loss: 0.0892
- Train Accuracy: 1.0
- Epoch: 14
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 80, '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 |
|---|---|---|---|
| 0.6905 | 0.6443 | 0.6692 | 0 |
| 0.6335 | 0.6095 | 0.6692 | 1 |
| 0.6049 | 0.5792 | 0.6692 | 2 |
| 0.5833 | 0.5375 | 0.6692 | 3 |
| 0.5253 | 0.4871 | 0.7846 | 4 |
| 0.4834 | 0.4300 | 0.8308 | 5 |
| 0.4283 | 0.3692 | 0.8769 | 6 |
| 0.3737 | 0.3106 | 0.9154 | 7 |
| 0.3157 | 0.2593 | 0.9615 | 8 |
| 0.2583 | 0.2084 | 0.9692 | 9 |
| 0.2192 | 0.1693 | 0.9769 | 10 |
| 0.1775 | 0.1398 | 1.0 | 11 |
| 0.1464 | 0.1172 | 1.0 | 12 |
| 0.1310 | 0.1009 | 1.0 | 13 |
| 0.1092 | 0.0892 | 1.0 | 14 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.3
