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wav2vec2-large-xlsr-53-russian-finetuned-amd

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-russian on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0611
  • Accuracy: 0.9780

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
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.1182 1.0 196 0.0611 0.9780
0.0825 2.0 392 0.0627 0.9775

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.0
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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