discoverylabs/whisper-large-v2-custom

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Whisper Imla Custom

This model is a fine-tuned version of discoverylabs/whisper-large-v2-swa on the Common Voice 11.0 dataset.

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: 3e-05
• —trainbatchsize: 2
• —evalbatchsize: 4
• —seed: 42
• —distributed_type: multi-GPU
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 8
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 1000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.45.2
• —Pytorch 2.1.1+cu121
• —Datasets 3.0.1
• —Tokenizers 0.20.1