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audio_cls_kgr – AI Model by gharam12 | AlphaNeural AI

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gharam12/
audio_cls_kgr

like

0

audio-classification

generated_from_trainer

Kkonjeong/wav2vec2-base-korean

endpoints_compatible

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audio_cls_kgr

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:

eval_loss: 0.9097
eval_model_preparation_time: 0.0034
eval_accuracy: 0.8487
eval_runtime: 6.3536
eval_samples_per_second: 18.73
eval_steps_per_second: 2.361
epoch: 0
step: 0

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

Framework versions

Transformers 5.5.4
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2