erenekerr/bert_model_TUR

bert-base-turkish-sentiment-analysis

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: 0.2283
• Accuracy: 0.9615

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.195	1.0	625	0.1521	0.9565
0.1095	2.0	1250	0.1770	0.9605
0.0619	3.0	1875	0.2225	0.9595
0.0188	4.0	2500	0.2283	0.9615