dmatekenya/whisper-large-v3-chichewa-base-only-fixed-pipeline

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whisper-large-v3-chichewa-base-only-fixed-pipeline

This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.7085
• —Wer: 73.7697
• —Cer: 33.9617

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: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 64
• —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: 7500

Training results

Framework versions

• —Transformers 5.17.0
• —Pytorch 2.14.0+cu130
• —Datasets 5.0.1
• —Tokenizers 0.23.2