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minds14_wav2vec2-korean – AI Model by sungkwan2 | AlphaNeural AI
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sungkwan2
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minds14_wav2vec2-korean
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transformers
safetensors
wav2vec2
audio-classification
generated_from_trainer
Kkonjeong/wav2vec2-base-korean
finetune
endpoints_compatible
us
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minds14_wav2vec2-korean
This model is a fine-tuned version of
Kkonjeong/wav2vec2-base-korean
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5206
Accuracy: 0.9076
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
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.4538
1.0
30
1.5785
0.7143
0.919
2.0
60
1.2316
0.7563
0.5313
3.0
90
0.7472
0.8739
0.3738
4.0
120
0.6715
0.8571
0.241
5.0
150
0.5206
0.9076
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.1.1
Tokenizers 0.22.0
