fsicoli/whisper-large-v3-pt-cv16-cuda

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whisper-large-v3-pt-cv16-cuda

This model is a fine-tuned version of openai/whisper-large-v3 on the mozilla-foundation/commonvoice16_0 pt dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1325
• —Wer: 0.9999

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-06
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 2000
• —training_steps: 5000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.37.0.dev0
• —Pytorch 2.2.0.dev20231212
• —Datasets 2.15.1.dev0
• —Tokenizers 0.15.0