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Priyanshu-Hestabit/xlm-roberta-base-finetuned-panx-de-fr

sourceHugging Facemitupdated 1y agoView on Hugging Face
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xlm-roberta-base-finetuned-panx-de-fr

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

  • —Loss: 0.1597
  • —F1: 0.8574

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-05
  • —trainbatchsize: 24
  • —evalbatchsize: 24
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 3

Training results

Training LossEpochStepValidation LossF1
0.28241.07150.17430.8300
0.14562.014300.15990.8444
0.09343.021450.15970.8574

Framework versions

  • —Transformers 4.50.3
  • —Pytorch 2.6.0+cu124
  • —Datasets 3.5.0
  • —Tokenizers 0.21.1