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swarajjena/benchmark-xlm-roberta-base

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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results

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8377
  • Accuracy: 0.6698
  • F1 Score: 0.6958

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: 64
  • evalbatchsize: 128
  • seed: 42
  • optimizer: Use 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 LossAccuracyF1 Score
1.13591.010080.90260.64580.6759
1.03722.020160.82820.68040.7025
0.98113.030240.83770.66980.6958

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.1+cu121
  • Tokenizers 0.20.3