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deepinfinityai/v02_30_NLEM_Aug_Tablets_Model

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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v0230NLEMAugTablets_Model

This model is a fine-tuned version of openai/whisper-large on the /30NLEMAugaudiosdataset dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0000
  • —Wer: 0.0

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: 4
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 10
  • —training_steps: 218
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.05191.0440.00320.0
0.00022.0880.00010.0
0.03.01320.00000.0
0.04.01760.00000.0

Framework versions

  • —Transformers 4.50.3
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.5.0
  • —Tokenizers 0.21.0