bert-turkish-uncased-270m

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5115

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: 0.0001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 512
• 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: cosine
• lr_scheduler_warmup_steps: 0.06
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
31.0270	0.3360	1000	1.2592
14.0337	0.6721	2000	0.8343
11.8579	1.0081	3000	0.7195
10.7548	1.3441	4000	0.6571
10.1131	1.6801	5000	0.6135
9.5222	2.0161	6000	0.5826
9.0712	2.3522	7000	0.5541
8.8246	2.6882	8000	0.5358
8.6404	3.0242	9000	0.5236
8.4261	3.3602	10000	0.5178
8.3842	3.6963	11000	0.5092

Framework versions

• Transformers 5.0.0
• Pytorch 2.10.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2