qanastek/whisper-tiny-french-cased

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Whisper Tiny French Cased

This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/commonvoice11_0 fr dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6509
• —Wer on mozilla-foundation/common_voice_11_0 fr: 33.0655
• —Wer on google/fleurs fr_fr: 36.69
• —Wer on facebook/voxpopuli fr: 32.71

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: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 5000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.26.0.dev0
• —Pytorch 1.11.0+cu102
• —Datasets 2.7.1.dev0
• —Tokenizers 0.13.2