audio_cls_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: 1.0013
• Accuracy: 0.8739

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: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	15	2.6275	0.1008
No log	2.0	30	2.5323	0.1176
No log	3.0	45	2.3049	0.2689
No log	4.0	60	1.8939	0.5798
No log	5.0	75	1.5949	0.6723
No log	6.0	90	1.3794	0.7479
No log	7.0	105	1.2348	0.8067
No log	8.0	120	1.1050	0.8235
No log	9.0	135	1.0384	0.8487
No log	10.0	150	1.0013	0.8739

Framework versions

• Transformers 5.15.0
• Pytorch 2.11.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2