for_test25

This model is a fine-tuned version of team-lucid/hubert-base-korean on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.1456
• eval_PER: 0.0935
• eval_runtime: 417.7255
• eval_samples_per_second: 11.922
• eval_steps_per_second: 0.747
• learning_rate: 0.0001
• epoch: 4.7281
• step: 2000

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: 32
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 400
• num_epochs: 10
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3