checkpoints2
This model is a fine-tuned version of ttop324/wav2vec2-live-japanese on the extracted and cleaned transcript of Holo No Graffiti dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
Evaluated from common_voice | train | ja :
- WER: 32.940524
- CER: 15.251746
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 3
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 6
- 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 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1
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