wav2vec2-large-xls-r-300m-hi-CV7
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the COMMON_VOICE dataset. It achieves the following results on the evaluation set:
- Loss: 0.6588
- Wer: 0.2987
Training hyperparameters
The following hyperparameters were used during training:
- 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: 2000
- num_epochs: 60
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0
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Evaluation results
- Test WER on Common Voice 7self-reported35.319
- Test CER on Common Voice 7self-reported11.311