TahaCakir/enhanced_turkishReviews-generativeAI

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enhanced_turkishReviews-generativeAI

This model is a fine-tuned version of gpt2-large on an unknown dataset. It achieves the following results on the evaluation set:

• —Train Loss: 9.7770
• —Validation Loss: 9.7482
• —Epoch: 9

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: {'inneroptimizer': {'module': 'transformers.optimizationtf', 'classname': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learningrate': {'module': 'transformers.optimizationtf', 'classname': 'WarmUp', 'config': {'initiallearningrate': 5e-07, 'decayschedulefn': {'module': 'keras.optimizers.schedules', 'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 5e-07, 'decaysteps': -293, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registeredname': None}, 'warmupsteps': 1000, 'power': 1.0, 'name': None}, 'registeredname': 'WarmUp'}, 'decay': 0.0, 'beta1': 0.8999999761581421, 'beta2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weightdecayrate': 0.09}, 'registeredname': 'AdamWeightDecay'}, 'dynamic': True, 'initialscale': 32768.0, 'dynamicgrowth_steps': 2000}
• —trainingprecision: mixedfloat16

Training results

Framework versions

• —Transformers 4.35.2
• —TensorFlow 2.14.0
• —Datasets 2.15.0
• —Tokenizers 0.15.0