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wav2vec2_full_japanese – AI Model by PlayMaker13 | AlphaNeural AI
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PlayMaker13
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wav2vec2_full_japanese
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-large-xlsr-53
finetune
apache-2.0
endpoints_compatible
us
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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
