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w2v-bert-2.0-armenian-colab-CV17.0_10epochs

Automatic Speech Recognition
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w2v-bert-2.0-armenian-colab-CV17.0_10epochs

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1461
  • Wer: 0.1212
  • Cer: 0.0217

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: 5e-05
  • 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: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
1.9136 1.0 325 0.2261 0.2817 0.0493
0.1872 2.0 650 0.1762 0.2208 0.0385
0.1168 3.0 975 0.1590 0.1807 0.0323
0.0817 4.0 1300 0.1444 0.1614 0.0287
0.058 5.0 1625 0.1414 0.1463 0.0259
0.0426 6.0 1950 0.1431 0.1447 0.0257
0.0284 7.0 2275 0.1333 0.1390 0.0251
0.0185 8.0 2600 0.1353 0.1254 0.0225
0.0114 9.0 2925 0.1434 0.1233 0.0219
0.007 10.0 3250 0.1461 0.1212 0.0217

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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Model tree for anah1tbaghdassarian/w2v-bert-2.0-armenian-colab-CV17.0_10epochs

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facebook/w2v-bert-2.0
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Evaluation results

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