audio_cls_hhd – AI Model by devtaco | AlphaNeural AI

You can deploy this model and start earning money today!

devtaco/
audio_cls_hhd

like

0

audio-classification

generated_from_trainer

Kkonjeong/wav2vec2-base-korean

endpoints_compatible

Views

No views yet

audio_cls_hhd

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: nan
Accuracy: 0.0924

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	15	nan	0.0924
No log	2.0	30	nan	0.0924
No log	3.0	45	nan	0.0924
No log	4.0	60	nan	0.0924
No log	5.0	75	nan	0.0924
No log	6.0	90	nan	0.0924
No log	7.0	105	nan	0.0924
No log	8.0	120	nan	0.0924
No log	9.0	135	nan	0.0924
No log	10.0	150	nan	0.0924

Framework versions

Transformers 4.57.6
Pytorch 2.10.0
Datasets 4.6.0
Tokenizers 0.22.2