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andricValdez/xlm-roberta-base-finetuned-autext24-subtask2

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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xlm-roberta-base-finetuned-autext24-subtask2

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: 0.9479
  • —Accuracy: 0.8134
  • —F1: 0.8145

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracyF1
No log1.025710.80240.70140.6956
0.66722.051420.64320.77770.7795
0.66723.077130.68100.80070.8019
0.25874.0102840.89290.79670.7978
0.25875.0128550.94790.81340.8145

Framework versions

  • —Transformers 4.40.1
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.19.0
  • —Tokenizers 0.19.1