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mafalda-zuquete/xlm-roberta-base-theocharis-incivility

sourceHugging Facemitupdated 6mo agoView on Hugging Face
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Model Card

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xlm-roberta-base-theocharis-incivility

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.0893
  • —Accuracy: 0.8187
  • —F1-score: 0.6651
  • —Recall: 0.6923

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: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracyF1-scoreRecall
No log1.01002.80890.83370.61890.5192
No log2.02002.00090.8150.65260.6683
No log3.03001.92520.8150.64420.6442
No log4.04002.08750.81870.66510.6923
0.39755.05002.37150.82370.65690.6490

Framework versions

  • —Transformers 5.2.0
  • —Pytorch 2.9.0+cu126
  • —Datasets 4.0.0
  • —Tokenizers 0.22.2