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KarthikaSubramanian/my_awesome_asr_mind_model

sourceHugging Faceapache-2.0updated 9mo agoView on Hugging Face
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Model Card

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myawesomeasrmindmodel

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 7.0308
  • —Wer: 1.0

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 16
  • —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: 2000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
3.7334200.010005.54871.0
3.2815400.020007.03081.0

Framework versions

  • —Transformers 4.57.3
  • —Pytorch 2.9.0+cu126
  • —Datasets 4.4.2
  • —Tokenizers 0.22.1