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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:

• eval_loss: 0.9620
• eval_accuracy: 0.9474
• eval_runtime: 18.9185
• eval_samples_per_second: 1.004
• eval_steps_per_second: 0.159
• epoch: 8.0
• step: 48

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
• 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 5.18.0
• Pytorch 2.11.0+cpu
• Datasets 4.8.5
• Tokenizers 0.23.2