dtorber / bertweet-large-sexism-detector

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Total runs: 43
24-hour runs: 0
7-day runs: -12
30-day runs: 0
Model's Last Updated: May 01 2024
text-classification

Introduction of bertweet-large-sexism-detector

Model Details of bertweet-large-sexism-detector

bertweet-large-sexism-detector

This model is a fine-tuned version of NLP-LTU/bertweet-large-sexism-detector on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9648
  • Icm: 0.2479
  • Icmnorm: 0.6258
  • Fmeasure: 0.7526
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
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Icm Icmnorm Fmeasure
0.8774 1.0 771 1.1253 -0.1346 0.4317 0.5634
0.9551 2.0 1542 0.8275 0.1264 0.5641 0.7110
0.9559 3.0 2313 0.9648 0.2479 0.6258 0.7526
0.6926 4.0 3084 1.5632 0.1570 0.5797 0.7172
0.4547 5.0 3855 1.8028 0.1284 0.5652 0.7098
0.2611 6.0 4626 1.9528 0.2025 0.6027 0.7359
0.1528 7.0 5397 2.1400 0.1119 0.5568 0.7073
0.1173 8.0 6168 2.1909 0.1524 0.5773 0.7195
0.1096 9.0 6939 2.4630 0.1166 0.5591 0.7073
0.0535 10.0 7710 2.4917 0.1809 0.5918 0.7276
Framework versions
  • Transformers 4.38.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2

Runs of dtorber bertweet-large-sexism-detector on huggingface.co

43
Total runs
0
24-hour runs
-2
3-day runs
-12
7-day runs
0
30-day runs

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bertweet-large-sexism-detector install

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Updated:May 15 2024