CoolFace
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nrshoudi/Whisper-base-Ar-MDD

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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Whisper-base-Ar-MDD

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

  • —Loss: 0.2159

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: 0.001
  • —trainbatchsize: 6
  • —evalbatchsize: 6
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 50
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.06841.05460.2054
0.03212.010920.2022
0.03453.016380.1919
0.01764.021840.1864
0.03035.027300.1919
0.01826.032760.1999
0.00837.038220.2039
0.0088.043680.2056
0.00289.049140.2153
0.002210.054600.2159

Framework versions

  • —PEFT 0.10.0
  • —Transformers 4.38.2
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2