bert-base-combined-large

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

• Loss: 0.3029
• Accuracy: 0.8940
• F1: 0.8956

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: 2e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.2668	1.0	3077	0.2812	0.8931	0.8915
0.2042	2.0	6154	0.2675	0.8952	0.8950
0.1453	3.0	9231	0.3029	0.8940	0.8956

Framework versions

• Transformers 4.21.2
• Pytorch 1.12.1+cu102
• Datasets 2.4.0
• Tokenizers 0.12.1