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AIWizards/MultiPRIDE-LGBT-Pretrain-it

sourceHugging Faceapache-2.0updated 9mo agoView on Hugging Face
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Model Card

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MultiPRIDE-LGBT-Pretrain-it

This model is a fine-tuned version of nickprock/setfit-italian-hate-speech on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1484
  • —Accuracy: 0.7975
  • —F1: 0.8290
  • —Precision: 0.8511
  • —Recall: 0.8081

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
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 1337
  • —optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracyF1PrecisionRecall
0.14931.0950.10720.76070.79790.81910.7778
0.08582.01900.13840.80370.85450.77690.9495
0.02253.02850.16400.66260.64970.87930.5152
0.00674.03800.14140.75460.78260.84710.7273
0.00085.04750.14840.79750.82900.85110.8081

Framework versions

  • —Transformers 4.57.3
  • —Pytorch 2.9.1+cu128
  • —Datasets 4.4.1
  • —Tokenizers 0.22.1