susmitabhatt/whisper-a-nomi-15

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whisper-a-nomi-15

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0280
• —Wer: 196.1573

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: 0.0004
• —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: 132
• —num_epochs: 15
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.47.0.dev0
• —Pytorch 2.4.0
• —Datasets 3.1.0
• —Tokenizers 0.20.3