umit_42000news_convbert_uncased

This model is a fine-tuned version of dbmdz/convbert-base-turkish-mc4-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.0049
• Accuracy: 0.6654

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1237	1.0	1584	1.1773	0.5974
1.1288	2.0	3168	1.0300	0.6521
0.6861	3.0	4752	1.0049	0.6654

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu117
• Datasets 2.10.1
• Tokenizers 0.13.2