---
language:
- ko
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
base_model: openai/whisper-large
datasets:
- Marcusxx/gwanju
model-index:
- name: gwanju_large2_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# gwanju_large2_model

This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the Marcusxx/gwanju dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3321
- Cer: 438.5339

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer      |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.4681        | 0.0741 | 250  | 0.4882          | 92.4888  |
| 0.4609        | 0.1482 | 500  | 0.4507          | 180.4507 |
| 0.4749        | 0.2223 | 750  | 0.4351          | 148.4249 |
| 0.4248        | 0.2964 | 1000 | 0.4260          | 50.0864  |
| 0.4433        | 0.3705 | 1250 | 0.3998          | 107.5518 |
| 0.3667        | 0.4446 | 1500 | 0.3907          | 296.2817 |
| 0.3805        | 0.5187 | 1750 | 0.3795          | 308.2578 |
| 0.3571        | 0.5928 | 2000 | 0.3770          | 396.0998 |
| 0.4312        | 0.6669 | 2250 | 0.3644          | 470.9584 |
| 0.3445        | 0.7410 | 2500 | 0.3562          | 392.7995 |
| 0.4036        | 0.8151 | 2750 | 0.3485          | 468.5345 |
| 0.3523        | 0.8892 | 3000 | 0.3426          | 459.9051 |
| 0.3541        | 0.9632 | 3250 | 0.3377          | 456.2648 |
| 0.2252        | 1.0373 | 3500 | 0.3343          | 450.6082 |
| 0.2063        | 1.1114 | 3750 | 0.3333          | 444.6852 |
| 0.2018        | 1.1855 | 4000 | 0.3321          | 438.5339 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1