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ccaaaaa – AI Model by joohwan | AlphaNeural AI
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ccaaaaa
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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Model card
Files and Versions
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wav2vec2-large-xls-r-300m-korean-e
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-300m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 4.9264
Cer: 0.9787
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: 0.0002
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
num_epochs: 30
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
24.5179
12.82
500
7.6688
1.0
4.7353
25.64
1000
4.9264
0.9787
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.0
Tokenizers 0.13.3
