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Surju/my_awesome_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: 1.2988
- Validation Loss: 1.5593
- Epoch: 23
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': 800, '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 |
|---|---|---|
| 2.9746 | 1.7124 | 0 |
| 1.4978 | 1.5593 | 1 |
| 1.3079 | 1.5593 | 2 |
| 1.3054 | 1.5593 | 3 |
| 1.3046 | 1.5593 | 4 |
| 1.3038 | 1.5593 | 5 |
| 1.2978 | 1.5593 | 6 |
| 1.3094 | 1.5593 | 7 |
| 1.3037 | 1.5593 | 8 |
| 1.3022 | 1.5593 | 9 |
| 1.3018 | 1.5593 | 10 |
| 1.3030 | 1.5593 | 11 |
| 1.3047 | 1.5593 | 12 |
| 1.3051 | 1.5593 | 13 |
| 1.3055 | 1.5593 | 14 |
| 1.3119 | 1.5593 | 15 |
| 1.3033 | 1.5593 | 16 |
| 1.3063 | 1.5593 | 17 |
| 1.3116 | 1.5593 | 18 |
| 1.3081 | 1.5593 | 19 |
| 1.3101 | 1.5593 | 20 |
| 1.3143 | 1.5593 | 21 |
| 1.3107 | 1.5593 | 22 |
| 1.2988 | 1.5593 | 23 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.13.1
- Tokenizers 0.13.3
