Elod1e/whisper-small-lingala-qlora

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whisper-small-lingala-qlora

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

• —Loss: 4.7410
• —Wer: 0.9973
• —Cer: 0.9793

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: 1
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 4
• —optimizer: Use OptimizerNames.PAGEDADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 50
• —training_steps: 500

Training results

Framework versions

• —PEFT 0.19.1
• —Transformers 5.13.0
• —Pytorch 2.11.0+cu128
• —Datasets 5.0.0
• —Tokenizers 0.22.2