bert-base-turkish-cased-subjectivity_ct_v0_gemini_int_T4_algorithm – AI Model by basakdemirok | AlphaNeural AI

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basakdemirok/
bert-base-turkish-cased-subjectivity_ct_v0_gemini_int_T4_algorithm

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dbmdz/bert-base-turkish-cased

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basakdemirok/bert-base-turkish-cased-subjectivity_ct_v0_gemini_int_T4_algorithm

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: 0.3502
Validation Loss: 0.3670
Train F1: 0.8197
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', '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': 192, '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	Validation Loss	Train F1	Epoch
0.6859	0.6073	0.4812	0
0.5179	0.4039	0.7933	1
0.3502	0.3670	0.8197	2

Framework versions

Transformers 4.41.2
TensorFlow 2.13.1
Datasets 2.4.0
Tokenizers 0.19.1