KasuleTrevor/cdli-whisper-en-ug-openai-large-v3-full-a40-fixed-nogc-clean

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cdli-whisper-en-ug-openai-large-v3-full-a40-fixed-nogc-clean

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

• —Loss: 0.8364
• —Wer: 0.2963
• —Cer: 0.2133

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: 4
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: constantwithwarmup
• —lrschedulerwarmup_steps: 150
• —training_steps: 1500

Training results

Framework versions

• —Transformers 4.57.6
• —Pytorch 2.7.1+cu118
• —Datasets 3.6.0
• —Tokenizers 0.22.2