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wav2vec2-large-xls-r-300m-irish-colab

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

  • Loss: 1.4286
  • Wer: 0.5097

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: 32
  • eval_batch_size: 16
  • 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: 500
  • num_epochs: 210
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
4.3406 24.97 400 1.1677 0.7270
0.2527 49.97 800 1.2686 0.5927
0.0797 74.97 1200 1.3970 0.5769
0.0424 99.97 1600 1.4093 0.5600
0.0286 124.97 2000 1.3684 0.5407
0.0174 149.97 2400 1.4571 0.5205
0.0109 174.97 2800 1.4327 0.5178
0.0072 199.97 3200 1.4286 0.5097

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.0+cu113
  • Datasets 1.13.3
  • Tokenizers 0.10.3
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Dataset used to train jimregan/wav2vec2-large-xls-r-300m-irish-colab

Evaluation results