CoolFace
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AlexC98/commitRoBertaWhy

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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commitRoBertaWhy

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

  • —Loss: 1.7709
  • —Accuracy: 0.7818

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: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 20

Training results

Training LossEpochStepValidation LossAccuracy
No log1.04830.47840.7515
0.58092.09660.73770.7636
0.52283.014490.94870.7879
0.51784.019320.78100.8061
0.49315.024150.86740.8182
0.45626.028980.83080.8121
0.45857.033811.24480.7818
0.30618.038641.08450.8061
0.33419.043471.14290.7879
0.28810.048301.05590.8242
0.267311.053131.28450.8
0.195412.057961.44960.8
0.22713.062791.37630.8
0.176114.067621.43410.8061
0.215415.072451.34110.8061
0.173616.077281.48260.7879
0.098317.082111.71900.7818
0.138218.086941.52420.8
0.126219.091771.69780.7879
0.096220.096601.77090.7818

Framework versions

  • —Transformers 4.28.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.12.0
  • —Tokenizers 0.13.3