ifc0nfig/whisper-small-hi-vyapar_v2

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Whisper Small Hi - Vyapar V2

This model is a fine-tuned version of openai/whisper-small on the Vyapar Calling Data 1200 hours dataset. It achieves the following results on the evaluation set:

• —Loss: 0.9627
• —Wer: 48.4083

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: 1e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 4000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.47.1
• —Pytorch 2.5.1+cu118
• —Datasets 3.2.0
• —Tokenizers 0.21.0