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This model is a fine-tuned version of hf-test/xls-r-dummy on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - AB dataset. It achieves the following results on the evaluation set:

  • Loss: 207.6048
  • Wer: 1.5484

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: 2
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 10
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.20.0.dev0
  • Pytorch 1.11.0+cu102
  • Datasets 2.2.2
  • Tokenizers 0.12.1
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Dataset used to train neelan-elucidate-ai/baseline

Evaluation results

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