TURNA_emotion_single

This model is a fine-tuned version of boun-tabi-LMG/TURNA on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5223
• Accuracy: 0.908
• Precision: 0.9133
• Recall: 0.908
• F1: 0.9065

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:

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	0.4	50	1.5118	0.48	0.4815	0.48	0.3654
No log	0.8	100	0.9884	0.655	0.8127	0.655	0.5878
1.1187	1.2	150	1.2171	0.66	0.7893	0.66	0.6006
1.1187	1.6	200	1.2756	0.68	0.8250	0.68	0.6289
0.1624	2.0	250	1.3194	0.715	0.8334	0.715	0.6729

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2

Citation Information

Uludoğan, G., Balal, Z. Y., Akkurt, F., Türker, M., Güngör, O., & Üsküdarlı, S. (2024).
Turna: A turkish encoder-decoder language model for enhanced understanding and generation. arXiv preprint arXiv:2401.14373.