wav2vec2_full_japanese

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 5.6552
• Cer: 0.8477

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 4e-05
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
6.6961	4.5147	2000	6.7794	0.9201
6.4120	9.0293	4000	6.4653	0.9172
5.9695	13.5440	6000	6.0440	0.8977
5.5488	18.0587	8000	5.6552	0.8477

Framework versions

• Transformers 5.0.0
• Pytorch 2.9.1+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2