---
language:
- ko
license: apache-2.0
base_model: openai/whisper-medium
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- Marcusxx/gwanju2
model-index:
- name: gwanju2_m__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. -->

# gwanju2_m__model

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co./openai/whisper-medium) on the Marcusxx/gwanju2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5285
- Cer: 31.2542

## 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: 250
- training_steps: 20000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Cer      |
|:-------------:|:------:|:-----:|:---------------:|:--------:|
| 0.4001        | 0.6046 | 2000  | 0.4109          | 181.6648 |
| 0.2492        | 1.2092 | 4000  | 0.3885          | 23.4726  |
| 0.25          | 1.8138 | 6000  | 0.3801          | 31.3821  |
| 0.1398        | 2.4184 | 8000  | 0.3955          | 23.6811  |
| 0.0733        | 3.0230 | 10000 | 0.4135          | 24.3813  |
| 0.0876        | 3.6276 | 12000 | 0.4193          | 23.1801  |
| 0.0402        | 4.2322 | 14000 | 0.4600          | 28.5421  |
| 0.0404        | 4.8368 | 16000 | 0.4663          | 26.3909  |
| 0.0152        | 5.4414 | 18000 | 0.5243          | 30.2673  |
| 0.0048        | 6.0459 | 20000 | 0.5285          | 31.2542  |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1