PromptGenerator_5_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: 1.6861
• Train Sparse Categorical Accuracy: 0.8150
• Validation Loss: 1.9777
• Validation Sparse Categorical Accuracy: 0.7250
• 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
3.0394	0.5171	2.7152	0.5841	0
2.5336	0.6247	2.4440	0.6318	1
2.2002	0.6958	2.2557	0.6659	2
1.9241	0.7608	2.1059	0.6932	3
1.6861	0.8150	1.9777	0.7250	4

Framework versions

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