<!-- 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. -->
my-depression-model
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: 0.0002
- Validation Loss: 0.0774
- Train Accuracy: 0.9819
- Epoch: 9
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': 1e-05, 'decay_steps': 69570, '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 |
|---|---|---|---|
| 0.1730 | 0.0720 | 0.9755 | 0 |
| 0.0543 | 0.0545 | 0.9793 | 1 |
| 0.0268 | 0.0567 | 0.9767 | 2 |
| 0.0146 | 0.0593 | 0.9832 | 3 |
| 0.0070 | 0.0680 | 0.9845 | 4 |
| 0.0021 | 0.0803 | 0.9806 | 5 |
| 0.0087 | 0.0736 | 0.9832 | 6 |
| 0.0020 | 0.0710 | 0.9845 | 7 |
| 0.0022 | 0.0724 | 0.9832 | 8 |
| 0.0002 | 0.0774 | 0.9819 | 9 |
Framework versions
- Transformers 4.29.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
