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waelhasan/wav2vec2-l2-arctic-phoneme-model

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face
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wav2vec2-l2-arctic-phoneme-model

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 284.0506
  • —Per: 0.1047
  • —F1: 0.9142

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: 5e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 32
  • —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: 104
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossPerF1
10769.52401.01041769.26061.00.0
3577.91862.02081750.98991.00.0
3495.16713.03121570.02141.00.0
2535.63734.0416783.31730.37550.7214
1357.63785.0520455.15700.16700.8635
928.31196.0624352.73450.13630.8895
750.23907.0728316.28930.11470.9068
650.84128.0832296.60500.11120.9090
596.26959.0936287.30400.10670.9131
569.706210.01040284.05060.10470.9142

Framework versions

  • —Transformers 5.14.1
  • —Pytorch 2.13.0+cu130
  • —Datasets 5.0.1
  • —Tokenizers 0.22.2