wav2vec2-large-xls-r-300m-basaa-cv8

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - BAS dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4648
  • Wer: 0.5472

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: 7e-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: 500
  • num_epochs: 100.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
2.9421 12.82 500 2.8894 1.0
1.1872 25.64 1000 0.6688 0.7460
0.8894 38.46 1500 0.4868 0.6516
0.769 51.28 2000 0.4960 0.6507
0.6936 64.1 2500 0.4781 0.5384
0.624 76.92 3000 0.4643 0.5430
0.5966 89.74 3500 0.4530 0.5591

Framework versions

  • Transformers 4.16.0.dev0
  • Pytorch 1.10.1+cu102
  • Datasets 1.18.3
  • Tokenizers 0.11.0
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Dataset used to train infinitejoy/wav2vec2-large-xls-r-300m-basaa-cv8

Evaluation results