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for_test25 – AI Model by ppparkker | AlphaNeural AI

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ppparkker/
for_test25

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automatic-speech-recognition

generated_from_trainer

team-lucid/hubert-base-korean

endpoints_compatible

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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