ksabeh/albert-base-v2-mlm-electronics-attribute-correction

• Train Loss: 0.0541
• Validation Loss: 0.0570
• Epoch: 1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 36852, '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

Framework versions

• Transformers 4.18.0
• TensorFlow 2.6.4
• Datasets 2.1.0
• Tokenizers 0.12.1