finetune-min3words

This model is a fine-tuned version of savasy/bert-base-turkish-sentiment-cased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3157
• Accuracy: 0.3333
• F1: 0.0

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 0.1
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	3	1.3130	0.3333	0.0
No log	2.0	6	1.4492	0.3333	0.0
No log	3.0	9	1.7898	0.0	0.0
No log	4.0	12	1.8955	0.0	0.0

Framework versions

• Transformers 5.0.0
• Pytorch 2.9.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.2