kavyamanohar/whisper-small-reverse-ml-mft-1

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whisper-small-reverse-ml-mft-1

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

• —Loss: 0.0806
• —Wer: 44.7778
• —Cer: 14.6248

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: 0.0002
• —trainbatchsize: 64
• —evalbatchsize: 32
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 128
• —optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 593
• —training_steps: 5928

Training results

Framework versions

• —Transformers 4.51.1
• —Pytorch 2.8.0+cu128
• —Datasets 4.4.1
• —Tokenizers 0.21.4