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infinitejoy/wav2vec2-large-xls-r-300m-romansh-vallader

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.010 GBother✓ 2 checksumsupdated today
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wav2vec2-large-xls-r-300m-romansh-vallader

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

  • Loss: 0.3155
  • Wer: 0.3162

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: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 100.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
2.9556 15.62 500 2.9300 1.0
1.7874 31.25 1000 0.7566 0.6509
1.0131 46.88 1500 0.3671 0.3828
0.8439 62.5 2000 0.3350 0.3416
0.7502 78.12 2500 0.3155 0.3296
0.7093 93.75 3000 0.3182 0.3186

Framework versions

  • Transformers 4.16.0.dev0
  • Pytorch 1.10.1+cu102
  • Datasets 1.17.1.dev0
  • Tokenizers 0.11.0