bryandts/whisper-base-en-india-accent-svarah

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

whisper-base-en-india-accent-svarah

This model is a fine-tuned version of openai/whisper-base on an svarah dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3400
• —Wer: 16.3057

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: 32
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 128
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 10
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.46.3
• —Pytorch 2.5.1+cu121
• —Datasets 3.1.0
• —Tokenizers 0.20.3