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

sourceHugging Facemitupdated 8mo agoView on Hugging Face
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Kumaoni-Bhojpuri-Chhattisgarhi-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: 1.1315
  • —Cer: 0.1661

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
5.08731.12363000.95370.2136
1.43462.24726000.79450.1831
1.09813.37089000.77040.1733
0.84984.494412000.82000.1669
0.64245.618015000.80470.1681
0.45736.741618000.87050.1652
0.29257.865221000.97950.1671
0.16908.988824001.13150.1661

Framework versions

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