anirbanbanerjee170577/tf_kaggle_llm_qa_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: 3.0474
- Validation Loss: 3.0542
- 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': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 40, '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 |
|---|---|---|
| 4.2592 | 3.0542 | 0 |
| 3.0553 | 3.0542 | 1 |
| 3.0336 | 3.0542 | 2 |
| 3.0477 | 3.0542 | 3 |
| 3.0463 | 3.0542 | 4 |
| 3.0493 | 3.0542 | 5 |
| 3.0523 | 3.0542 | 6 |
| 3.0568 | 3.0542 | 7 |
| 3.0599 | 3.0542 | 8 |
| 3.0474 | 3.0542 | 9 |
Framework versions
- Transformers 4.33.0
- TensorFlow 2.12.0
- Datasets 2.7.0
- Tokenizers 0.13.3