BERTurk_emotion_single

This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4662
• Accuracy: 0.8795
• Precision: 0.8935
• Recall: 0.8795
• F1: 0.8757

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	1.5130	0.29	0.5337	0.29	0.1962
No log	0.8	100	1.1556	0.665	0.5788	0.665	0.5841
0.952	1.2	150	0.8404	0.775	0.8279	0.775	0.7711
0.952	1.6	200	0.8298	0.795	0.8383	0.795	0.7817
0.1317	2.0	250	0.9024	0.77	0.8463	0.77	0.7493
0.1317	2.4	300	1.4757	0.715	0.8224	0.715	0.6780
0.1317	2.8	350	1.2916	0.765	0.8274	0.765	0.7429

Framework versions

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