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wav2vec2-xls-r-1b-ja-phoneme_cv_14_2 – AI Model by pinot | AlphaNeural AI
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wav2vec2-xls-r-1b-ja-phoneme_cv_14_2
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
audiofolder
facebook/wav2vec2-xls-r-1b
finetune
apache-2.0
model-index
endpoints_compatible
us
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wav2vec2-xls-r-1b-ja-phoneme_cv_14_2
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-1b
on the audiofolder dataset. It achieves the following results on the evaluation set:
Loss: 0.2898
Wer: 0.0668
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: 3e-05
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.0171
0.49
2000
0.3758
0.0890
0.3467
0.98
4000
0.2898
0.0668
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.3
Tokenizers 0.13.3
