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YAML Metadata Error: "language[0]" with value "pa-IN" is not valid. It must be an ISO 639-1, 639-2 or 639-3 code (two/three letters), or a special value like "code", "multilingual". If you want to use BCP-47 identifiers, you can specify them in language_bcp47.
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This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - PA-IN dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1508
  • Wer: 0.4908

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: 0.0003
  • train_batch_size: 16
  • 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: 1500
  • num_epochs: 100.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
3.5841 9.26 500 3.2514 0.9941
0.3992 18.52 1000 0.8790 0.6107
0.2409 27.78 1500 1.0012 0.6366
0.1447 37.04 2000 1.0167 0.6276
0.1109 46.3 2500 1.0638 0.5653
0.0797 55.56 3000 1.1447 0.5715
0.0636 64.81 3500 1.1503 0.5316
0.0466 74.07 4000 1.2227 0.5386
0.0372 83.33 4500 1.1214 0.5225
0.0239 92.59 5000 1.1375 0.4998

Framework versions

  • Transformers 4.17.0.dev0
  • Pytorch 1.10.2+cu102
  • Datasets 1.18.2.dev0
  • Tokenizers 0.11.0
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Dataset used to train DrishtiSharma/wav2vec2-xls-r-pa-IN-a1

Evaluation results

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