---
library_name: transformers
license: apache-2.0
base_model: team-lucid/hubert-base-korean
tags:
- generated_from_trainer
model-index:
- name: for_test25
  results: []
---

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# for_test25

This model is a fine-tuned version of [team-lucid/hubert-base-korean](https://huggingface.co/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