KasuleTrevor/cdli-whisper-lg-sunbird-decoder-a40

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cdli-whisper-lg-sunbird-decoder-a40

This model is a fine-tuned version of Sunbird/asr-whisper-large-v3-salt on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.7613
• —Wer: 0.5656
• —Cer: 0.3069
• —test_wer = 0.4106
• —test_cer = 0.1662

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: 4
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 2000

Training results

Framework versions

• —Transformers 4.52.0
• —Pytorch 2.7.1+cu118
• —Datasets 3.6.0
• —Tokenizers 0.21.4