interview_electra

This model is a fine-tuned version of mrm8488/electra-small-finetuned-squadv2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4590
  • Accuracy: 0.6164

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: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
2.782 1.0 579 2.6037 0.1983
2.5903 2.0 1158 2.4794 0.1983
2.5114 3.0 1737 2.3349 0.2586
2.3676 4.0 2316 2.1538 0.4569
2.2466 5.0 2895 1.9574 0.4526
2.0461 6.0 3474 1.7796 0.5690
1.7791 7.0 4053 1.6913 0.5776
1.7205 8.0 4632 1.5485 0.5733
1.59 9.0 5211 1.4805 0.6121
1.5614 10.0 5790 1.4590 0.6164

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0
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