slplab/whisper-med-asd_v2

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whisper-med-asd_v2

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

• —Loss: 0.5457
• —Wer: 37.9455

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: 32
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 128
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —training_steps: 1000

Training results

Framework versions

• —Transformers 4.31.0.dev0
• —Pytorch 2.0.1+cu117
• —Datasets 2.13.1
• —Tokenizers 0.13.3