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wav2vec2-xls-r-300m-ja-phoneme-cv-14_bench – AI Model by pinot | AlphaNeural AI
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pinot
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wav2vec2-xls-r-300m-ja-phoneme-cv-14_bench
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
audiofolder
pinot/wav2vec2-xls-r-300m-ja-phoneme_cv_14_3
finetune
apache-2.0
model-index
endpoints_compatible
us
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wav2vec2-xls-r-300m-ja-phoneme-cv-14_bench
This model is a fine-tuned version of
pinot/wav2vec2-xls-r-300m-ja-phoneme_cv_14_3
on the audiofolder dataset. It achieves the following results on the evaluation set:
Loss: 2.0125
Wer: 0.1794
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: 0.0003
train_batch_size: 16
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
0.97
9
5.2662
0.2116
No log
1.95
18
2.0125
0.1794
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.3
Tokenizers 0.13.3
