thiagobarbosa/whisper-base-google-fleurs-pt-br

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whisper-base-google-fleurs-pt-br

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

• —Loss: 0.4987
• —Wer: 22.2974
• —Wer Normalized: 18.5291

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: 2.05e-05
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: reducelron_plateau
• —lrschedulerwarmup_steps: 120
• —training_steps: 2400
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.36.2
• —Pytorch 2.1.1
• —Datasets 2.16.1
• —Tokenizers 0.15.0