PromptGenerator_32_topic_finetuned

This model is a fine-tuned version of kmkarakaya/turkishReviews-ds on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0569
• Train Sparse Categorical Accuracy: 1.0
• Validation Loss: 0.0787
• Validation Sparse Categorical Accuracy: 1.0
• Epoch: 4

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', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Sparse Categorical Accuracy	Validation Loss	Validation Sparse Categorical Accuracy	Epoch
1.7185	0.7860	0.5569	0.9868	0
0.4711	0.9958	0.2097	0.9995	1
0.2016	1.0000	0.1197	0.9999	2
0.1014	1.0	0.0903	0.9999	3
0.0569	1.0	0.0787	1.0	4

Framework versions

• Transformers 4.21.1
• TensorFlow 2.8.2
• Datasets 2.4.0
• Tokenizers 0.12.1