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wav2vec2-large-xls-r-1B-common_voice-sl-ft

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the common_voice dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2112
  • Wer: 0.1404

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: 3e-05
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 400
  • num_epochs: 100
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
1.8291 12.2 500 0.5674 0.7611
0.0416 24.39 1000 0.3093 0.2964
0.0256 36.59 1500 0.2224 0.2072
0.0179 48.78 2000 0.2274 0.1960
0.0113 60.98 2500 0.2078 0.1582
0.0086 73.17 3000 0.1898 0.1552
0.0059 85.37 3500 0.2054 0.1446
0.0044 97.56 4000 0.2112 0.1404

Framework versions

  • Transformers 4.16.0.dev0
  • Pytorch 1.10.1+cu102
  • Datasets 1.17.1.dev0
  • Tokenizers 0.10.3
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Dataset used to train reach-vb/wav2vec2-large-xls-r-1B-common_voice-sl-ft

Evaluation results