umutarpayy/bert_fen_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: 0.2601
• Train Accuracy: 0.9492
• Validation Loss: 0.1871
• Validation Accuracy: 0.9544
• Epoch: 10

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': 3768, '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
2.7335	0.3676	1.5315	0.5813	0
1.3478	0.6236	1.0674	0.6885	1
1.0438	0.6943	0.8446	0.7242	2
0.8667	0.7393	0.6786	0.7956	3
0.7305	0.7888	0.5613	0.8512	4
0.6061	0.8316	0.4309	0.8889	5
0.5022	0.8635	0.3576	0.9127	6
0.4176	0.8977	0.3104	0.9266	7
0.3485	0.9174	0.2435	0.9444	8
0.2946	0.9385	0.2144	0.9444	9
0.2601	0.9492	0.1871	0.9544	10

Framework versions

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