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anuragshas/wav2vec2-xls-r-300m-pa-IN-cv8-with-lm

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.024 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: 0.6864
  • Wer: 0.6707

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: 7.5e-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: 200.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
4.3322 14.81 400 3.7450 1.0
3.2662 29.63 800 3.2571 0.9996
1.6408 44.44 1200 0.9098 0.8162
1.2289 59.26 1600 0.6757 0.7099
1.0551 74.07 2000 0.6417 0.7044
0.966 88.89 2400 0.6365 0.6789
0.8713 103.7 2800 0.6617 0.6954
0.8055 118.52 3200 0.6371 0.6762
0.7489 133.33 3600 0.6798 0.6911
0.7073 148.15 4000 0.6567 0.6731
0.6609 162.96 4400 0.6742 0.6840
0.6435 177.78 4800 0.6862 0.6633
0.6282 192.59 5200 0.6865 0.6731

Framework versions

  • Transformers 4.17.0.dev0
  • Pytorch 1.10.2+cu102
  • Datasets 1.18.4.dev0
  • Tokenizers 0.11.0