dianavdavidson/indicwav2vec-hindi-vaani-61962-normalized-alldata-1e-4-steps-12000-FT

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indicwav2vec-hindi-vaani-61962-normalized-alldata-1e-4-steps-12000-FT

This model is a fine-tuned version of ai4bharat/indicwav2vec-hindi on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2683
• —Global Wer: 17.7661

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: 0.0001
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 8
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: constantwithwarmup
• —lrschedulerwarmup_steps: 500
• —training_steps: 12000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.13.0
• —Pytorch 2.6.0+cu124
• —Datasets 3.6.0
• —Tokenizers 0.22.2