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Korean Kws3

This model is a fine-tuned version of Kkonjeong/wav2vec2-base-korean on the None dataset. It achieves the following results on the evaluation set: Loss: 0.3971 Accuracy: 1.0

Fuentehuggingface.co/jandyjeong/korean_kws3/tree/2982e93fac807e2f231e2c50c681063ac7ecadd9
TipoOtherModelo baseKkonjeong/wav2vec2-base-koreanVersiónRevision 2982e93Ccalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
361 MB
Modelo base
Kkonjeong/wav2vec2-base-korean
Versión
vRevision 2982e93
Actualizado
17 oct 2026
Descargas
4
Fuente
Hugging Face

Descripción de la fuente

korean_kws3

This model is a fine-tuned version of Kkonjeong/wav2vec2-base-korean on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3971
  • Accuracy: 1.0

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: 4
  • total_train_batch_size: 32
  • 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
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
No log1.022.09970.0714
No log2.042.08610.2143
No log3.061.91140.2857
No log4.081.87100.2143
No log5.0101.78750.2143
No log6.0121.58510.7143
No log7.0141.45520.9286
No log8.0161.32140.9286
No log9.0181.23840.9286
No log10.0201.19180.9286
No log11.0220.95881.0
No log12.0240.87901.0
No log13.0260.83561.0
No log14.0280.78041.0
No log15.0300.71711.0
No log16.0320.66691.0
No log17.0340.63611.0
No log18.0360.59231.0
No log19.0380.55371.0
No log20.0400.52721.0
No log21.0420.50221.0
No log22.0440.47921.0
No log23.0460.46291.0
No log24.0480.45241.0
No log25.0500.43821.0
No log26.0520.42011.0
No log27.0540.40881.0
No log28.0560.40241.0
No log29.0580.39861.0
No log30.0600.39711.0

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.10.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Fuentes

1 fuente
Hugging FacePrincipalVersión 2982e93fac807e2f231e2c50c681063ac7ecadd9
huggingface.co/jandyjeong/korean_kws3/tree/2982e93fac807e2f231e2c50c681063ac7ecadd9

Verificado 29 ago

Artefactos del modelo

1 artefacto

model.safetensors

safetensors · 361 MB · SHA-256 f2323f5ef6da…6d71 · Hugging Face

Download file

Extractos de fuentes

2 extractos
Readme29 agohuggingface.co/jandyjeong/korean_kws3

--- library_name: transformers base_model: Kkonjeong/wav2vec2-base-korean tags: - generated_from_trainer metrics: - accuracy model-index: - name: korean_kws3 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # korean_kws3 This model is a fine-tuned version of [Kkonjeong/wav2vec2-base-korean](https://huggingface.co/Kkonjeong/wav2vec2-base-korean) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.3971 - Accuracy: 1.0 ## 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: 4 - total_train_batch_size: 32 - 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 - num_epochs: 30 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 2 | 2.0997 | 0.0714 | | No log | 2.0 | 4 | 2.0861 | 0.2143 | | No log | 3.0 | 6 | 1.9114 | 0.2857 | | No log | 4.0 | 8 | 1.8710 | 0.2143 | | No log | 5.0 | 10 | 1.7875 | 0.2143 | | No log | 6.0 | 12 | 1.5851 | 0.7143 | | No log | 7.0 | 14 | 1.4552 | 0.9286 | | No log | 8.0 | 16 | 1.3214 | 0.9286 | | No log | 9.0 | 18 | 1.2384 | 0.9286 | | No log | 10.0 | 20 | 1.1918 | 0.9286 | | No log | 11.0 | 22 | 0.9588 | 1.0 | | No log | 12.0 | 24 | 0.8790 | 1.0 | | No log | 13.0 | 26 | 0.8356 | 1.0 | | No log | 14.0 | 28 | 0.7804 | 1.0 | | No log | 15.0 | 30 | 0.7171 | 1.0 | | No log | 16.0 | 32 | 0.6669 | 1.0 | | No log | 17.0 | 34 | 0.6361 | 1.0 | | No log | 18.0 | 36 | 0.5923 | 1.0 | | No log | 19.0 | 38 | 0.5537 | 1.0 | | No log | 20.0 | 40 | 0.5272 | 1.0 | | No log | 21.0 | 42 | 0.5022 | 1.0 | | No log | 22.0 | 44 | 0.4792 | 1.0 | | No log | 23.0 | 46 | 0.4629 | 1.0 | | No log | 24.0 | 48 | 0.4524 | 1.0 | | No log | 25.0 | 50 | 0.4382 | 1.0 | | No log | 26.0 | 52 | 0.420...

Note29 agohuggingface.co/jandyjeong/korean_kws3

Source context: 4 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo jandyjeong/korean_kws3