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prompt_fine_tuned_boolq_sloberta

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

  • Loss: 0.5641
  • Accuracy: 0.7778
  • F1: 0.6806

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 400

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.6616 4.1667 50 0.5869 0.7778 0.6806
0.6427 8.3333 100 0.5746 0.7778 0.6806
0.6365 12.5 150 0.5704 0.7778 0.6806
0.6407 16.6667 200 0.5675 0.7778 0.6806
0.6352 20.8333 250 0.5658 0.7778 0.6806
0.6386 25.0 300 0.5641 0.7778 0.6806
0.6445 29.1667 350 0.5643 0.7778 0.6806
0.6363 33.3333 400 0.5641 0.7778 0.6806

Framework versions

  • PEFT 0.11.1
  • Transformers 4.40.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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