Aller au contenu
ModelPrésentéExterne
Télécharger

Korean Kws2

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: 0.3043 Accuracy: 1.0

Sourcehuggingface.co/rewining/korean_kws2/tree/31409b162e3f3420e3a3b3e266fac85add48daae
TypeOtherModèle de baseKkonjeong/wav2vec2-base-koreanVersionRevision 31409b1CClasse

Source du modèle

Type
Other
Taille du fichier
361 MB
Modèle de base
Kkonjeong/wav2vec2-base-korean
Version
vRevision 31409b1
Mis à jour
17 oct. 2026
Téléchargements
4
Source
Hugging Face

Description de la source

korean_kws2

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: 0.3043
  • 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 log1.021.88860.2105
No log2.041.78590.5263
No log3.061.73170.4211
No log4.081.64820.6842
No log5.0101.49180.6316
No log6.0121.41120.7368
No log7.0141.28460.8947
No log8.0161.14070.8947
No log9.0181.00680.8947
No log10.0200.91920.9474
No log11.0220.84460.8947
No log12.0240.77040.9474
No log13.0260.68061.0
No log14.0280.62371.0
No log15.0300.57771.0
No log16.0320.52501.0
No log17.0340.48611.0
No log18.0360.46731.0
No log19.0380.44151.0
No log20.0400.41241.0
No log21.0420.38511.0
No log22.0440.36431.0
No log23.0460.34981.0
No log24.0480.33961.0
No log25.0500.33081.0
No log26.0520.32231.0
No log27.0540.31491.0
No log28.0560.30971.0
No log29.0580.30601.0
No log30.0600.30431.0

Framework versions

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

Sources

1 source
Hugging FacePrincipalVersion 31409b162e3f3420e3a3b3e266fac85add48daae
huggingface.co/rewining/korean_kws2/tree/31409b162e3f3420e3a3b3e266fac85add48daae

Vérifié 29 août

Artefacts du modèle

1 artefact

model.safetensors

safetensors · 361 MB · SHA-256 e827a7531e2d…56aa · Hugging Face

Download file

Extraits de sources

2 extraits
Readme29 aoûthuggingface.co/rewining/korean_kws2

--- library_name: transformers base_model: Kkonjeong/wav2vec2-base-korean tags: - generated_from_trainer metrics: - accuracy model-index: - name: korean_kws2 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_kws2 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: 0.3043 - 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 | 1.8886 | 0.2105 | | No log | 2.0 | 4 | 1.7859 | 0.5263 | | No log | 3.0 | 6 | 1.7317 | 0.4211 | | No log | 4.0 | 8 | 1.6482 | 0.6842 | | No log | 5.0 | 10 | 1.4918 | 0.6316 | | No log | 6.0 | 12 | 1.4112 | 0.7368 | | No log | 7.0 | 14 | 1.2846 | 0.8947 | | No log | 8.0 | 16 | 1.1407 | 0.8947 | | No log | 9.0 | 18 | 1.0068 | 0.8947 | | No log | 10.0 | 20 | 0.9192 | 0.9474 | | No log | 11.0 | 22 | 0.8446 | 0.8947 | | No log | 12.0 | 24 | 0.7704 | 0.9474 | | No log | 13.0 | 26 | 0.6806 | 1.0 | | No log | 14.0 | 28 | 0.6237 | 1.0 | | No log | 15.0 | 30 | 0.5777 | 1.0 | | No log | 16.0 | 32 | 0.5250 | 1.0 | | No log | 17.0 | 34 | 0.4861 | 1.0 | | No log | 18.0 | 36 | 0.4673 | 1.0 | | No log | 19.0 | 38 | 0.4415 | 1.0 | | No log | 20.0 | 40 | 0.4124 | 1.0 | | No log | 21.0 | 42 | 0.3851 | 1.0 | | No log | 22.0 | 44 | 0.3643 | 1.0 | | No log | 23.0 | 46 | 0.3498 | 1.0 | | No log | 24.0 | 48 | 0.3396 | 1.0 | | No log | 25.0 | 50 | 0.3308 | 1.0 | | No log | 26.0 | 52 |...

Note29 aoûthuggingface.co/rewining/korean_kws2

Source context: 4 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo rewining/korean_kws2