CoolFace
Modelpublic

AIWizards/MultiPRIDE-DualEncoder-MainStage-FT-it

sourceHugging Faceapache-2.0updated 9mo agoView on Hugging Face
0likes11downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

MultiPRIDE-DualEncoder-MainStage-FT-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: 0.0101
  • Accuracy: 0.9693
  • F1: 0.9180
  • Precision: 0.9333
  • Recall: 0.9032

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-06
  • 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
0.02641.0950.01120.96930.91800.93330.9032
0.02832.01900.01070.96930.91800.93330.9032
0.02933.02850.01040.96930.91800.93330.9032
0.02674.03800.01010.96930.91800.93330.9032

Framework versions

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