CoolFace
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smerchi/darija_test3

sourceHugging Faceupdated 2y agoView on Hugging Face
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darija_test3

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4497
  • Accuracy: 0.8177

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: 0.0003
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_ratio: 0.05
  • num_epochs: 10
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
0.43851.01920.46180.8047
0.34332.03840.44970.8177
0.65513.05760.64990.6510
0.62844.07680.65560.6510
0.64025.09600.64730.6510
0.65386.011520.64700.6510
0.73097.013440.64770.6510
0.64168.015360.64720.6510
0.56659.017280.66250.6510
0.60710.019200.65010.6510

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1