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infinitejoy/wav2vec2-large-xls-r-300m-slovenian

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.011 GBother✓ 2 checksumsupdated today
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wav2vec2-large-xls-r-300m-slovenian

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - SL dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2093
  • Wer: 0.1907

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: 7e-05
  • train_batch_size: 32
  • 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_steps: 1000
  • num_epochs: 100.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
1.785 12.5 1000 0.7465 0.6812
0.8989 25.0 2000 0.2495 0.2732
0.7118 37.5 3000 0.2126 0.2284
0.6367 50.0 4000 0.2049 0.2049
0.5763 62.5 5000 0.2116 0.2055
0.5196 75.0 6000 0.2111 0.1910
0.4949 87.5 7000 0.2131 0.1931
0.4797 100.0 8000 0.2093 0.1907

Framework versions

  • Transformers 4.16.0.dev0
  • Pytorch 1.10.1+cu102
  • Datasets 1.18.3
  • Tokenizers 0.11.0