umutarpayy/din6_bert

umutarpayy/bert_din_kulturu_6

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

• Train Loss: 0.0892
• Train Accuracy: 0.9801
• Validation Loss: 0.0536
• Validation Accuracy: 0.9880
• Epoch: 11

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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5004, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
2.1960	0.3731	1.0634	0.6961	0
0.9579	0.7118	0.6545	0.7919	1
0.6678	0.7954	0.4948	0.8383	2
0.5158	0.8425	0.3541	0.8937	3
0.3917	0.8882	0.2375	0.9371	4
0.3016	0.9174	0.1837	0.9536	5
0.2245	0.9399	0.1604	0.9641	6
0.1832	0.9505	0.0981	0.9775	7
0.1438	0.9631	0.0789	0.9835	8
0.1143	0.9739	0.0718	0.9835	9
0.0949	0.9789	0.0570	0.9865	10
0.0892	0.9801	0.0536	0.9880	11

Framework versions

• Transformers 4.47.1
• TensorFlow 2.17.1
• Datasets 3.2.0
• Tokenizers 0.21.0