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stereotype_finetuned_1

This model is a fine-tuned version of wu981526092/Sentence-Level-Stereotype-Detector on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3184
  • Accuracy: 0.856

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.4268 1.0 516 0.3511 0.8425
0.2819 2.0 1032 0.3534 0.8593
0.2304 3.0 1548 0.3743 0.8636
0.175 4.0 2064 0.4341 0.8531
0.1201 5.0 2580 0.6222 0.8505
0.0928 6.0 3096 0.7032 0.8447
0.059 7.0 3612 0.8496 0.848
0.0362 8.0 4128 0.9396 0.8484
0.0293 9.0 4644 1.0407 0.8465
0.0202 10.0 5160 1.0932 0.8524
0.0151 11.0 5676 1.1281 0.8531
0.0069 12.0 6192 1.1992 0.8585
0.0039 13.0 6708 1.3510 0.8502
0.0047 14.0 7224 1.3186 0.8545
0.0015 15.0 7740 1.3184 0.856

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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