<!-- 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/all-MiniLM-L6-v2-STEP-3-undersampled-437-finetunned
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: 0.0429
- Validation Loss: 1.8996
- 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': 49815, '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 | Epoch |
|---|---|---|
| 2.1037 | 1.5917 | 0 |
| 1.2841 | 1.3665 | 1 |
| 0.9055 | 1.3485 | 2 |
| 0.6602 | 1.3997 | 3 |
| 0.4694 | 1.4225 | 4 |
| 0.3432 | 1.4923 | 5 |
| 0.2455 | 1.6342 | 6 |
| 0.1853 | 1.6694 | 7 |
| 0.1416 | 1.6849 | 8 |
| 0.1101 | 1.7854 | 9 |
| 0.0869 | 1.8096 | 10 |
| 0.0684 | 1.8700 | 11 |
| 0.0577 | 1.8651 | 12 |
| 0.0483 | 1.8877 | 13 |
| 0.0429 | 1.8996 | 14 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.9.0
- Tokenizers 0.13.2
