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lazymonster/afrisenti-diacritized-scratch_scratch

sourceHugging Facemitupdated 10mo agoView on Hugging Face
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Model Card

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afrisenti-diacritized-scratch_scratch

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

  • Loss: 1.1908
  • Accuracy: 0.6437
  • F1 Macro: 0.6442
  • Composite Score: 0.6186

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: 32
  • evalbatchsize: 32
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • lrschedulerwarmup_ratio: 0.1
  • num_epochs: 20
  • mixedprecisiontraining: Native AMP
  • labelsmoothingfactor: 0.1

Training results

Training LossEpochStepValidation LossAccuracyF1 MacroComposite Score
No log1.03321.08880.33400.16690.1390
1.0912.06641.07880.44350.40380.3781
1.0913.09960.93750.56670.56380.5638
1.01674.013280.95610.59310.59290.5929
0.78035.016600.98450.62640.62940.6294
0.78036.019921.03120.63510.63700.6370
0.60127.023241.08420.64450.64410.6383
0.49428.026561.13260.62900.62560.6105
0.49429.029881.15500.63280.63160.6129
0.444610.033201.19080.64370.64420.6186

Framework versions

  • Transformers 4.53.3
  • Pytorch 2.6.0+cu124
  • Datasets 4.4.1
  • Tokenizers 0.21.2