kaisar-barlybay-sse/model

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

• Train Loss: 1.3896
• Validation Loss: 1.3863
• Train Accuracy: 0.2874
• Epoch: 5

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': 5e-05, 'decay_steps': 5000, '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	Train Accuracy	Epoch
1.3923	1.3863	0.2315	0
1.3926	1.3863	0.2096	1
1.3889	1.3863	0.2575	2
1.3905	1.3863	0.2515	3
1.3895	1.3863	0.2794	4
1.3896	1.3863	0.2874	5

Framework versions

• Transformers 4.28.1
• TensorFlow 2.10.1
• Datasets 2.11.0
• Tokenizers 0.13.3