kaarthu2003/whisper-small-telugu-k-fold-2

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whisper-small-telugu-k-fold-2

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

• —eval_loss: 0.1469
• —evalmodelpreparation_time: 0.0123
• —eval_wer: 0.3205
• —eval_cer: 0.0616
• —eval_runtime: 571.1633
• —evalsamplesper_second: 1.558
• —evalstepsper_second: 0.196
• —step: 0

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: 400
• —num_epochs: 10
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.51.3
• —Pytorch 2.1.0+cu118
• —Datasets 3.5.1
• —Tokenizers 0.21.1