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wav2vec2-base-finetuned-coscan-region

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

  • Loss: 0.1020
  • Accuracy: 0.9735

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
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2089 1.0 6644 0.1020 0.9735

Framework versions

  • Transformers 4.21.0
  • Pytorch 1.10.1+cu102
  • Datasets 2.4.0
  • Tokenizers 0.12.1
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Evaluation results