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DrishtiSharma/wav2vec2-xls-r-pa-IN-a1

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.029 GBother✓ 2 checksumsupdated today
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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