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b1n1yam/shook-tiny-amharic-stage2-polish

sourceHugging Faceapache-2.0updated 10mo agoView on Hugging Face
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Model Card

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tiny Amharic - Biniyam Daniel

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: 0.0627
  • Wer: 20.7634

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: 128
  • evalbatchsize: 128
  • seed: 42
  • gradientaccumulationsteps: 2
  • totaltrainbatch_size: 256
  • optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: cosine
  • lrschedulerwarmup_ratio: 0.05
  • num_epochs: 3

Training results

Training LossEpochStepValidation LossWer
0.05950.23443000.068422.4376
0.05820.46886000.067522.1963
0.05910.70319000.066822.0622
0.05950.937512000.065721.6653
0.05511.171915000.065121.5516
0.05591.406218000.064421.2442
0.0551.640621000.063921.1184
0.05471.87524000.063420.9395
0.05192.109427000.063220.8622
0.05262.343830000.063020.7644
0.0512.578133000.062820.7634
0.05112.812536000.062720.7634

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.5.1
  • Datasets 3.6.0
  • Tokenizers 0.20.3