p4b/whisper-small-ko-fl-v2

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Whisper Small Ko(FLUERS) - by p4b

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

• —Loss: 0.4512
• —Wer: 148.1005

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-07
• —trainbatchsize: 96
• —evalbatchsize: 64
• —seed: 42
• —distributed_type: multi-GPU
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 500
• —training_steps: 4000

Training results

Framework versions

• —Transformers 4.26.0.dev0
• —Pytorch 1.14.0.dev20221208+cu116
• —Datasets 2.7.1.dev0
• —Tokenizers 0.13.2