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Audio Cls1

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: 2.0407 Accuracy: 0.5546

Sourcehuggingface.co/seging/audio_cls1/tree/2b105b6f30838fe995d0e30301266ca13d835722
TypeOtherModèle de baseKkonjeong/wav2vec2-base-koreanVersionRevision 2b105b6BClasse

Source du modèle

Type
Other
Taille du fichier
361 MB
Modèle de base
Kkonjeong/wav2vec2-base-korean
Version
vRevision 2b105b6
Mis à jour
31 oct. 2026
Téléchargements
4
Source
Hugging Face

Description de la source

audio_cls1

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: 2.0407
  • Accuracy: 0.5546

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: 3e-05
  • 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: 10
  • mixed_precision_training: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
No log1.0152.65220.0420
No log2.0302.61920.0672
No log3.0452.54230.2101
No log4.0602.41740.2437
No log5.0752.32240.3697
No log6.0902.23960.3866
No log7.01052.15350.4538
No log8.01202.10640.4790
No log9.01352.06010.5042
No log10.01502.04070.5546

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.11.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Sources

1 source
Hugging FacePrincipalVersion 2b105b6f30838fe995d0e30301266ca13d835722
huggingface.co/seging/audio_cls1/tree/2b105b6f30838fe995d0e30301266ca13d835722

Vérifié 31 oct.

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File inventory only; completeness is unverified.

Artefacts du modèle

1 artefact

model.safetensors

safetensors · FP32 (unverified) · 361 MB · SHA-256 327909a04181…99e3 · Hugging Face

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Extraits de sources

3 extraits
Readme15 aoûthuggingface.co/seging/audio_cls1

--- library_name: transformers base_model: Kkonjeong/wav2vec2-base-korean tags: - generated_from_trainer metrics: - accuracy model-index: - name: audio_cls1 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. --> # audio_cls1 This model is a fine-tuned version of [Kkonjeong/wav2vec2-base-korean](https://huggingface.co/Kkonjeong/wav2vec2-base-korean) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.0407 - Accuracy: 0.5546 ## 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: 3e-05 - 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: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 15 | 2.6522 | 0.0420 | | No log | 2.0 | 30 | 2.6192 | 0.0672 | | No log | 3.0 | 45 | 2.5423 | 0.2101 | | No log | 4.0 | 60 | 2.4174 | 0.2437 | | No log | 5.0 | 75 | 2.3224 | 0.3697 | | No log | 6.0 | 90 | 2.2396 | 0.3866 | | No log | 7.0 | 105 | 2.1535 | 0.4538 | | No log | 8.0 | 120 | 2.1064 | 0.4790 | | No log | 9.0 | 135 | 2.0601 | 0.5042 | | No log | 10.0 | 150 | 2.0407 | 0.5546 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.11.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2

Note31 oct.huggingface.co/seging/audio_cls1

Source context: 4 downloads · 3 likes · Pipeline audio-classification · Library transformers · Repo seging/audio_cls1

Note15 aoûthuggingface.co/seging/audio_cls1

Source context: 5 downloads · 3 likes · Pipeline audio-classification · Library transformers · Repo seging/audio_cls1