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wav2vec2-large-xls-r-300m-tsovatush-demo-colab-bryn-hauk-11-10

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0335
  • Wer: 0.4883
  • Cer: 0.1275

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: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 50
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
4.9765 6.8966 400 1.4359 0.9369 0.2946
1.1792 13.7931 800 0.8249 0.5694 0.1605
0.6068 20.6897 1200 0.8757 0.5261 0.1442
0.3661 27.5862 1600 0.9834 0.5171 0.1372
0.2159 34.4828 2000 0.9937 0.5099 0.1385
0.1284 41.3793 2400 1.0792 0.5225 0.1376
0.0839 48.2759 2800 1.0335 0.4883 0.1275

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.5.0+cu121
  • Datasets 1.18.3
  • Tokenizers 0.19.1
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