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wav2vec2-large-xls-r-300m-korean-e – AI Model by thisisHJLee | AlphaNeural AI
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wav2vec2-large-xls-r-300m-korean-e
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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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: 0.6640
Cer: 0.1518
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: 0.0001
train_batch_size: 8
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: 1000
num_epochs: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
5.3827
3.25
500
3.5391
1.0
3.0633
6.49
1000
2.9854
0.8759
1.2095
9.74
1500
0.8384
0.2103
0.5499
12.99
2000
0.6733
0.1689
0.3815
16.23
2500
0.6778
0.1591
0.3111
19.48
3000
0.6640
0.1518
Framework versions
Transformers 4.17.0
Pytorch 1.10.0+cu113
Datasets 1.18.3
Tokenizers 0.13.0
