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sukhun2/my_awesome_mind_model

sourceHugging Faceapache-2.0updated 7d agoView on Hugging Face
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myawesomemind_model

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: 2.6506
  • —Accuracy: 0.0619

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: 3e-05
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 128
  • —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: 3
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
No log1.042.64520.0531
No log2.082.65060.0619
10.00293.0122.65180.0354
10.00294.0162.65150.0442
9.66845.0202.65400.0442
9.66846.0242.65380.0442
9.66847.0282.65410.0531
9.89978.0322.65460.0531
9.89979.0362.65470.0442
9.655110.0402.65510.0442

Framework versions

  • —Transformers 5.16.1
  • —Pytorch 2.11.0+cu128
  • —Datasets 4.8.5
  • —Tokenizers 0.23.1