korean_kws – AI Model by heado | AlphaNeural AI

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heado/
korean_kws

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audio-classification

generated_from_trainer

Kkonjeong/wav2vec2-base-korean

endpoints_compatible

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korean_kws

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: 1.1867
Accuracy: 0.7857

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	1	1.5822	0.1429
No log	2.0	2	1.5822	0.1429
No log	3.0	3	1.5114	0.5714
No log	4.0	4	1.5114	0.5714
No log	5.0	5	1.3987	0.7857
No log	6.0	6	1.3493	0.7143
No log	7.0	7	1.2831	0.7143
No log	8.0	8	1.2381	0.7857
No log	9.0	9	1.2050	0.7857
No log	10.0	10	1.1867	0.7857

Framework versions

Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0