tgoktug/my_bert_classification_model

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

• Train Loss: 0.5157
• Validation Loss: 1.1278
• Train Accuracy: 0.5596
• Epoch: 6

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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
1.0725	0.8868	0.6163	0
0.8197	0.8660	0.6323	1
0.7354	0.8494	0.6046	2
0.6645	0.9047	0.6080	3
0.6108	0.9597	0.5914	4
0.5581	1.0378	0.5713	5
0.5157	1.1278	0.5596	6

Framework versions

• Transformers 4.32.1
• TensorFlow 2.12.0
• Datasets 2.14.4
• Tokenizers 0.13.3