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turkish_mmlu_base-bert-uncased

This model is a fine-tuned version of ytu-ce-cosmos/turkish-base-bert-uncased on the alibayram/turkish_mmlu dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5043
  • Accuracy: 0.3119

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: 32
  • total_train_batch_size: 128
  • 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
1.5725 0.9998 2063 1.5487 0.2739
1.5254 1.9995 4126 1.5090 0.3057
1.4895 2.9993 6189 1.5043 0.3119

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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