sanchit-gandhi/distil-large-v3-hi-ft

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distil-whisper/distil-large-v3

This model is a fine-tuned version of distil-whisper/distil-large-v3 on the commonvoice16_1 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6148
• —Wer: 0.3298

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: 0.0001
• —trainbatchsize: 32
• —evalbatchsize: 32
• —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 4.40.0.dev0
• —Pytorch 2.2.1+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.1