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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