Rogendo/swahili-distill_smoke-20260709-152928

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swahili-distill_smoke-20260709-152928

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

• —Loss: 2.2642
• —Wer: 92.2175
• —Cer: 35.3085
• —Avg Pred Words: 32.51
• —Avg Ref Words: 33.28

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: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —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: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 100
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.57.6
• —Pytorch 2.10.0+cu128
• —Datasets 3.6.0
• —Tokenizers 0.22.2