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