arampacha / wav2vec2-xls-r-1b-uk-cv

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Total runs: 21
24-hour runs: 0
7-day runs: 0
30-day runs: 15
Model's Last Updated: March 24 2022
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Introduction of wav2vec2-xls-r-1b-uk-cv

Model Details of wav2vec2-xls-r-1b-uk-cv

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - UK dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1747
  • Wer: 0.2107
  • Cer: 0.0408
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: 8e-05
  • train_batch_size: 16
  • eval_batch_size: 64
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 8000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer Cer
1.3719 4.35 500 0.3389 0.4236 0.0833
1.1361 8.7 1000 0.2309 0.3162 0.0630
1.0517 13.04 1500 0.2166 0.3056 0.0597
1.0118 17.39 2000 0.2141 0.2784 0.0557
0.9922 21.74 2500 0.2231 0.2941 0.0594
0.9929 26.09 3000 0.2171 0.2892 0.0587
0.9485 30.43 3500 0.2236 0.2956 0.0599
0.9573 34.78 4000 0.2314 0.3043 0.0616
0.9195 39.13 4500 0.2169 0.2812 0.0580
0.8915 43.48 5000 0.2109 0.2780 0.0560
0.8449 47.83 5500 0.2050 0.2534 0.0514
0.8028 52.17 6000 0.2032 0.2456 0.0492
0.7881 56.52 6500 0.1890 0.2380 0.0469
0.7423 60.87 7000 0.1816 0.2245 0.0442
0.7248 65.22 7500 0.1789 0.2165 0.0422
0.6993 69.57 8000 0.1747 0.2107 0.0408
Framework versions
  • Transformers 4.17.0.dev0
  • Pytorch 1.10.2+cu102
  • Datasets 1.18.2.dev0
  • Tokenizers 0.11.0

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