<!-- 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. -->
kasrahabib/PROMISE_WITH_NR_FROM_STEP_NEG_1
This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0329
- Validation Loss: 0.1613
- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 705, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 1.0601 | 0.9587 | 0 |
| 0.7412 | 0.5604 | 1 |
| 0.4149 | 0.3394 | 2 |
| 0.2428 | 0.2579 | 3 |
| 0.1610 | 0.1824 | 4 |
| 0.1300 | 0.2134 | 5 |
| 0.0786 | 0.1572 | 6 |
| 0.0746 | 0.1535 | 7 |
| 0.0586 | 0.1832 | 8 |
| 0.0514 | 0.1757 | 9 |
| 0.0443 | 0.1681 | 10 |
| 0.0401 | 0.1602 | 11 |
| 0.0410 | 0.1601 | 12 |
| 0.0366 | 0.1553 | 13 |
| 0.0329 | 0.1613 | 14 |
Framework versions
- Transformers 4.33.3
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3
