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MarcoLYH/bert-base-uncased-finetuned-v1
This model is a fine-tuned version of csarron/bert-base-uncased-squad-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.0187
- Train End Logits Accuracy: 0.6875
- Train Start Logits Accuracy: 0.7083
- Validation Loss: 0.7458
- Validation End Logits Accuracy: 0.75
- Validation Start Logits Accuracy: 0.8000
- Epoch: 2
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': 9, '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 | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
|---|---|---|---|---|---|---|
| 1.6743 | 0.4375 | 0.5625 | 1.0957 | 0.7000 | 0.7000 | 0 |
| 1.1601 | 0.6458 | 0.6458 | 0.8086 | 0.75 | 0.75 | 1 |
| 1.0187 | 0.6875 | 0.7083 | 0.7458 | 0.75 | 0.8000 | 2 |
Framework versions
- Transformers 4.30.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
