wav2vec2-xls-r-300m-west-slavic-cv8
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the Common Voice 8 dataset of five similar languages with similar scripts: Czech, Slovak, Polish, Slovenian and Upper Sorbian. Training and validation sets were concatenated and shuffled.
Evaluation set used for training was concatenated from the respective test sets and shuffled while limiting each language to at most 2000 samples. During training, cca WER 70 was achieved on this set.
Evaluation script
python eval.py --model_id comodoro/wav2vec2-xls-r-300m-west-slavic-cv8 --dataset mozilla-foundation/common_voice_8_0 --split test --config {lang}
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- 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
Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.1+cu102
- Datasets 1.18.3
- Tokenizers 0.11.0
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Dataset used to train comodoro/wav2vec2-xls-r-300m-west-slavic-cv8
Evaluation results
- Test WER on Common Voice 8self-reported53.500
- Test CER on Common Voice 8self-reported14.700
- Test WER on Common Voice 8self-reported81.700
- Test CER on Common Voice 8self-reported21.200
- Test WER on Common Voice 8self-reported60.200
- Test CER on Common Voice 8self-reported15.600
- Test WER on Common Voice 8self-reported69.600
- Test CER on Common Voice 8self-reported20.700
- Test WER on Common Voice 8self-reported73.200
- Test CER on Common Voice 8self-reported23.200