CoolFace
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VirginiaAchille/results

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Model Card

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results

This model is a fine-tuned version of castorini/afriberta_large on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4618
  • —Accuracy: 0.9177
  • —F1: 0.9176

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: 16
  • —evalbatchsize: 16
  • —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
No log1.01220.40230.88480.8867
No log2.02440.40810.91360.9136
No log3.03660.42080.91770.9176
No log4.04880.43570.91770.9178
0.22525.06100.46180.91770.9176

Framework versions

  • —Transformers 4.50.3
  • —Pytorch 2.6.0+cu124
  • —Datasets 3.5.0
  • —Tokenizers 0.21.1