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

sourceHugging Facemitupdated 8mo agoView on Hugging Face
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Kumaoni-Bhojpuri-Chhattisgarhi-Angika-Maithili-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: 1.9085
  • —Cer: 0.1772

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
5.23130.60483001.00110.2249
1.56191.20976000.87950.2012
1.22301.81459000.84050.1842
0.95442.419412000.80440.1818
0.80233.024215000.85540.1849
0.59313.629018000.94750.1818
0.45344.233921000.98000.1884
0.34234.838724001.05650.1805
0.24095.443527001.11930.1811
0.18706.048430001.31270.1795
0.12326.653233001.39300.1817
0.10327.258136001.49350.1806
0.06717.862939001.66210.1788
0.04528.467742001.77270.1778
0.03359.072645001.81950.1782
0.01699.677448001.90850.1772

Framework versions

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