audio_cls2 – AI Model by bbangju | AlphaNeural AI

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bbangju/
audio_cls2

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audio-classification

generated_from_trainer

Kkonjeong/wav2vec2-base-korean

endpoints_compatible

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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: 1.8920
Accuracy: 0.2308

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	1.9422	0.2308
No log	2.0	4	1.9425	0.0769
No log	3.0	6	1.9375	0.0769
No log	4.0	8	1.9253	0.1538
No log	5.0	10	1.9222	0.1538
No log	6.0	12	1.9105	0.0769
No log	7.0	14	1.9055	0.1538
No log	8.0	16	1.8976	0.2308
No log	9.0	18	1.8938	0.2308
No log	10.0	20	1.8920	0.2308

Framework versions

Transformers 5.10.2
Pytorch 2.12.0+cu130
Datasets 4.8.5
Tokenizers 0.22.2