metadata
license: apache-2.0
tags:
- generated_from_keras_callback
base_model: ksabeh/bert-base-uncased-mlm-electronics
model-index:
- name: ksabeh/bert-base-uncased-mlm-electronics-attribute-correction
results: []
ksabeh/bert-base-uncased-mlm-electronics-attribute-correction
This model is a fine-tuned version of ksabeh/bert-base-uncased-mlm-electronics on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0524
- Validation Loss: 0.0520
- Epoch: 1
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 36848, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
Train Loss | Validation Loss | Epoch |
---|---|---|
0.1459 | 0.0678 | 0 |
0.0524 | 0.0520 | 1 |
Framework versions
- Transformers 4.18.0
- TensorFlow 2.6.4
- Datasets 2.1.0
- Tokenizers 0.12.1