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# wav2vec2-live-japanese
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https://github.com/ttop32/wav2vec2-live-japanese-translator
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Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Japanese using the
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- common_voice
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- JSUT
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- CSS10
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- TEDxJP-10K
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- JVS
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##
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 3
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 6
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 50
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.10.0
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- Pytorch 1.9.1
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- Datasets 1.11.0
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- Tokenizers 0.10.3
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# wav2vec2-live-japanese
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https://github.com/ttop32/wav2vec2-live-japanese-translator
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Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Japanese hiragana using the
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- common_voice
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- JSUT
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- CSS10
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- TEDxJP-10K
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- JVS
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## Inference
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```python
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```
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## Evaluation
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```python
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```
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