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wav2vec2-large-mms-1b-korean-colab

This model is a fine-tuned version of facebook/mms-1b-l1107 on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 7.8135
  • Wer: 0.9930

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: 0.001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss Wer
10.9747 2.63 100 7.8812 0.9990
5.9431 5.26 200 8.2212 0.9960
5.7372 7.89 300 8.1054 0.9930
5.2582 10.53 400 8.2347 0.9940
3.8725 13.16 500 7.7536 0.9940
3.4454 15.79 600 7.7220 0.9930
2.5989 18.42 700 7.8135 0.9930

Framework versions

  • Transformers 4.31.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3
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