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cruiser/bert_model_kaggle
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.0986
- Train Accuracy: 0.3554
- Validation Loss: 1.0986
- Validation Accuracy: 0.3814
- Epoch: 4
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', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 1.1128 | 0.3360 | 1.0986 | 0.3356 | 0 |
| 1.0990 | 0.3370 | 1.0986 | 0.3823 | 1 |
| 1.0996 | 0.3631 | 1.0986 | 0.3814 | 2 |
| 1.0986 | 0.3556 | 1.0986 | 0.3814 | 3 |
| 1.0986 | 0.3554 | 1.0986 | 0.3814 | 4 |
Framework versions
- Transformers 4.20.1
- TensorFlow 2.6.4
- Datasets 2.1.0
- Tokenizers 0.12.1
