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wav2vec2-large-xls-r-300m-gn

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53-spanish on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3713
  • Wer: 0.3431

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.7177 3.62 400 0.3649 0.5816
0.2738 7.24 800 0.4029 0.5024
0.1768 10.86 1200 0.3779 0.4285
0.1128 14.48 1600 0.3929 0.4205
0.0842 18.1 2000 0.3683 0.3916
0.0616 21.72 2400 0.3943 0.3675
0.0461 25.34 2800 0.4127 0.3571
0.0368 28.96 3200 0.3713 0.3431

Framework versions

  • Transformers 4.35.0.dev0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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Evaluation results