pbwt/bert-base-multilingual-uncased-yelp_review_full

This model is a fine-tuned version of bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0019
• Train Sparse Categorical Accuracy: 1.0
• Validation Loss: 0.0011
• Validation Sparse Categorical Accuracy: 1.0
• 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', 'learning_rate': 5e-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 Sparse Categorical Accuracy	Validation Loss	Validation Sparse Categorical Accuracy	Epoch
0.1465	0.9730	0.0034	1.0	0
0.0033	1.0	0.0018	1.0	1
0.0019	1.0	0.0011	1.0	2

Framework versions

• Transformers 4.18.0
• TensorFlow 2.6.2
• Datasets 2.4.0
• Tokenizers 0.12.1