jlvdoorn/whisper-tiny.en-atco2-asr

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whisper-tiny.en-atco2-asr

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

• —Loss: 1.1500
• —Wer: 61.5214

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: 128
• —evalbatchsize: 128
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 10
• —num_epochs: 100

Training results

Framework versions

• —Transformers 4.36.2
• —Pytorch 2.1.2
• —Datasets 2.15.0
• —Tokenizers 0.15.0