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hawalurahman/xlm-roberta-base-difficulty-prediction

sourceHugging Facemitupdated 5mo agoView on Hugging Face
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Model Card

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xlm-roberta-base-difficulty-prediction

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: 0.9634
  • —Accuracy: 0.5765

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: 16
  • —evalbatchsize: 16
  • —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: 10

Training results

Training LossEpochStepValidation LossAccuracy
1.06041.0350.97690.6
0.9972.0700.91260.6
0.94323.01050.89170.5765
0.88164.01400.89310.4824
0.84255.01750.91010.5412
0.77546.02100.88950.6353
0.7327.02450.93970.5529
0.69218.02800.96800.5647
0.6849.03150.96810.5647
0.655810.03500.96340.5765

Framework versions

  • —Transformers 4.56.2
  • —Pytorch 2.8.0+cu129
  • —Datasets 4.2.0
  • —Tokenizers 0.22.1