metadata
base_model: gp-tar4/QA_FineTuned_Arabert
tags:
- generated_from_keras_callback
model-index:
- name: NourMohamed91/v_model
results: []
NourMohamed91/v_model
This model is a fine-tuned version of gp-tar4/QA_FineTuned_Arabert on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0040
- Validation Loss: 0.0302
- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 210, '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 |
|---|---|---|
| 2.0085 | 0.3095 | 0 |
| 0.1496 | 0.0399 | 1 |
| 0.0319 | 0.0350 | 2 |
| 0.0195 | 0.0327 | 3 |
| 0.0125 | 0.0162 | 4 |
| 0.0067 | 0.0239 | 5 |
| 0.0038 | 0.0242 | 6 |
| 0.0045 | 0.0239 | 7 |
| 0.0173 | 0.0323 | 8 |
| 0.0040 | 0.0302 | 9 |
Framework versions
- Transformers 4.42.4
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1