Audio Cls2
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: 1.9947 Accuracy: 0.1538
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 361 MB
- Modelo base
- Kkonjeong/wav2vec2-base-korean
- Versão
- vRevision ec1bfba
- Atualizado
- 31 de out. de 2026
- Downloads
- 3
- Fonte
- Hugging Face
Descrição da fonte
audio_cls2
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: 1.9947
- Accuracy: 0.1538
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 | 2 | 1.9488 | 0.4615 |
| No log | 2.0 | 4 | 1.9549 | 0.0769 |
| No log | 3.0 | 6 | 1.9348 | 0.1538 |
| No log | 4.0 | 8 | 1.9568 | 0.1538 |
| No log | 5.0 | 10 | 1.9823 | 0.0 |
| No log | 6.0 | 12 | 1.9865 | 0.1538 |
| No log | 7.0 | 14 | 1.9931 | 0.1538 |
| No log | 8.0 | 16 | 1.9951 | 0.1538 |
| No log | 9.0 | 18 | 1.9933 | 0.1538 |
| No log | 10.0 | 20 | 1.9947 | 0.1538 |
Framework versions
- Transformers 5.10.2
- Pytorch 2.12.0+cu130
- Datasets 4.8.5
- Tokenizers 0.22.2
Fontes
1 fonte
Fontes
1 fonteVerificado 31 de out.
Download files
Repository files
File inventory only; completeness is unverified.
Artefatos de modelo
1 artefato
Artefatos de modelo
1 artefatomodel.safetensors
safetensors · FP32 (unverified) · 361 MB · SHA-256 cdf09b4ab1f1…bcc0 · Hugging Face
Download fileTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- library_name: transformers base_model: Kkonjeong/wav2vec2-base-korean tags: - generated_from_trainer metrics: - accuracy model-index: - name: audio_cls2 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_cls2 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: 1.9947 - Accuracy: 0.1538 ## 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 | 2 | 1.9488 | 0.4615 | | No log | 2.0 | 4 | 1.9549 | 0.0769 | | No log | 3.0 | 6 | 1.9348 | 0.1538 | | No log | 4.0 | 8 | 1.9568 | 0.1538 | | No log | 5.0 | 10 | 1.9823 | 0.0 | | No log | 6.0 | 12 | 1.9865 | 0.1538 | | No log | 7.0 | 14 | 1.9931 | 0.1538 | | No log | 8.0 | 16 | 1.9951 | 0.1538 | | No log | 9.0 | 18 | 1.9933 | 0.1538 | | No log | 10.0 | 20 | 1.9947 | 0.1538 | ### Framework versions - Transformers 5.10.2 - Pytorch 2.12.0+cu130 - Datasets 4.8.5 - Tokenizers 0.22.2
Source context: 3 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo khs1218/audio_cls2
Source context: 6 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo khs1218/audio_cls2
