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

  • Loss: 0.4484
  • Wer: 1.0145

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2000
  • num_epochs: 50.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
5.1844 3.4 500 5.2015 0.9999
3.3962 6.8 1000 3.4017 1.0002
2.5433 10.2 1500 1.6884 1.0222
1.5099 13.6 2000 0.7929 1.0188
1.2685 17.01 2500 0.6122 1.0191
1.1844 20.41 3000 0.5434 1.0197
1.0945 23.81 3500 0.5208 1.0316
1.0506 27.21 4000 0.4941 1.0139
1.0199 30.61 4500 0.4736 1.0106
0.9546 34.01 5000 0.4664 1.0164
0.9388 37.41 5500 0.4565 1.0085
0.9125 40.81 6000 0.4636 1.0148
0.8733 44.22 6500 0.4530 1.0154
0.8829 47.62 7000 0.4494 1.0152

Framework versions

  • Transformers 4.16.0.dev0
  • Pytorch 1.10.1+cu102
  • Datasets 1.17.1.dev0
  • Tokenizers 0.11.0
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Dataset used to train shivam/xls-r-hindi

Evaluation results

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