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lazymonster/afrisenti-diacritized-baseline

sourceHugging Facemitupdated 10mo agoView on Hugging Face
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afrisenti-diacritized-baseline

This model is a fine-tuned version of Davlan/afro-xlmr-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7616
  • Accuracy: 0.7077
  • F1 Macro: 0.6821

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: 2e-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
  • num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracyF1 Macro
No log1.02670.80600.63300.5912
0.86332.05340.76030.68040.6235
0.86333.08010.73700.70290.6772
0.62754.010680.73220.70620.6821
0.62755.013350.76160.70770.6821

Framework versions

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