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JamesLemo/xlm-roberta-self-supervision

sourceHugging Facemitupdated 9mo agoView on Hugging Face
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Model Card

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xlm-roberta-self-supervision

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

  • —Loss: 0.0899

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: 16
  • —evalbatchsize: 8
  • —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 Loss
0.59410.41321000.5656
0.29040.82642000.3468
0.34791.23973000.2029
0.56381.65294000.2151
0.31732.06615000.2894
0.59592.47936000.2483
0.14042.89267000.2484
0.23093.30588000.1808
0.09213.71909000.1847
0.13744.132210000.1084
0.16114.545511000.1429
0.10574.958712000.0899

Framework versions

  • —Transformers 4.57.3
  • —Pytorch 2.9.0+cu126
  • —Datasets 4.0.0
  • —Tokenizers 0.22.1