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dhasmana/Kumaoni-Bhojpuri-Chhattisgarhi-Angika-w2v-bert-2.0

sourceHugging Facemitupdated 8mo agoView on Hugging Face
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Kumaoni-Bhojpuri-Chhattisgarhi-Angika-w2v-bert-2.0

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.6782
  • —Cer: 0.1687

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: 16
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 32
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossCer
4.97210.77223000.93710.2075
1.46981.54316000.82360.1890
1.16122.31409000.78920.1803
0.90613.084912000.78710.1841
0.69543.857115000.82280.1732
0.52194.628118000.90340.1777
0.38145.399021001.05120.1701
0.27256.169924001.17630.1751
0.18676.942127001.23300.1768
0.12167.713030001.34500.1704
0.08278.483933001.54200.1713
0.05159.254836001.67820.1687

Framework versions

  • —Transformers 5.0.0
  • —Pytorch 2.9.0+cu126
  • —Datasets 4.0.0
  • —Tokenizers 0.22.2