metadata
tags:
- generated_from_keras_callback
model-index:
- name: bhattronak/my-awesome-address-tokenizer-model-v2
results: []
bhattronak/my-awesome-address-tokenizer-model-v2
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.4448
- Validation Loss: 0.4385
- Train Precision: 0.8173
- Train Recall: 0.8495
- Train F1: 0.8331
- Train Accuracy: 0.8510
- 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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 489, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
---|---|---|---|---|---|---|
1.1961 | 0.6422 | 0.7391 | 0.7729 | 0.7556 | 0.7799 | 0 |
0.5690 | 0.4755 | 0.7781 | 0.8436 | 0.8095 | 0.8383 | 1 |
0.4448 | 0.4385 | 0.8173 | 0.8495 | 0.8331 | 0.8510 | 2 |
Framework versions
- Transformers 4.35.0
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1