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wav2vec2-large-xls-r-300m-kurdish

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - KMR dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2548
  • Wer: 0.2688

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: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2000
  • num_epochs: 100.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
1.3161 12.27 2000 0.4199 0.4797
1.0643 24.54 4000 0.2982 0.3721
0.9718 36.81 6000 0.2762 0.3333
0.8772 49.08 8000 0.2586 0.3051
0.8236 61.35 10000 0.2575 0.2865
0.7745 73.62 12000 0.2603 0.2816
0.7297 85.89 14000 0.2539 0.2727
0.7079 98.16 16000 0.2554 0.2681

Framework versions

  • Transformers 4.16.0.dev0
  • Pytorch 1.10.1+cu102
  • Datasets 1.17.1.dev0
  • Tokenizers 0.11.0
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Dataset used to train infinitejoy/wav2vec2-large-xls-r-300m-kurdish

Evaluation results