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wav2vec2-large-xls-r-300m-kor-11385 – AI Model by teddy322 | AlphaNeural AI
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teddy322
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wav2vec2-large-xls-r-300m-kor-11385
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
zeroth_korean_asr
apache-2.0
endpoints_compatible
us
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wav2vec2-large-xls-r-300m-kor-11385
This model is a fine-tuned version of
teddy322/wav2vec2-large-xls-r-300m-kor-11385
on the zeroth_korean_asr dataset. It achieves the following results on the evaluation set:
Loss: 0.4033
Wer: 0.2805
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: 8
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: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0502
1.97
400
0.4049
0.3283
0.0631
3.94
800
0.4618
0.3260
0.0508
5.91
1200
0.4391
0.3170
0.0325
7.88
1600
0.4138
0.2935
0.0244
9.85
2000
0.4033
0.2805
Framework versions
Transformers 4.11.3
Pytorch 1.10.0+cu113
Datasets 1.18.3
Tokenizers 0.10.3
