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turkish-sentiment-analysis-bert-base-turkish-uncased – AI Model by mdeniz1 | AlphaNeural AI
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mdeniz1
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turkish-sentiment-analysis-bert-base-turkish-uncased
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transformers
tf
bert
text-classification
generated_from_keras_callback
dbmdz/bert-base-turkish-uncased
finetune
mit
autotrain_compatible
endpoints_compatible
us
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turkish-sentiment-analysis-bert-base-turkish-uncased
This model is a fine-tuned version of
dbmdz/bert-base-turkish-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0469
Train Accuracy: 0.9862
Validation Loss: 0.2119
Validation Accuracy: 0.9417
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1800, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
0.2982
0.8846
0.1887
0.9267
0
0.1348
0.9502
0.2172
0.9233
1
0.0469
0.9862
0.2119
0.9417
2
Framework versions
Transformers 4.33.0
TensorFlow 2.12.0
Datasets 2.14.4
Tokenizers 0.13.3
