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seohyeon122333/
audio_cls_sjs

Name: audio_cls_sjs
Availability: InStock

generated_from_trainer

Kkonjeong/wav2vec2-base-korean

finetune

endpoints_compatible

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audio_cls_sjs

This model is a fine-tuned version of Kkonjeong/wav2vec2-base-korean on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:

Loss: 1.2026
Accuracy: 0.7311

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	2.6319	0.1008
No log	2.0	30	2.4686	0.2101
No log	3.0	45	2.2363	0.3361
No log	4.0	60	2.0202	0.4286
No log	5.0	75	1.7058	0.5714
No log	6.0	90	1.5203	0.6303
No log	7.0	105	1.4001	0.6471
No log	8.0	120	1.2837	0.6975
No log	9.0	135	1.2277	0.7227
No log	10.0	150	1.2026	0.7311

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

seohyeon122333/audio_cls_sjs

audio_cls_sjs

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

seohyeon122333/
audio_cls_sjs