---
language:
- ko
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
base_model: openai/whisper-large
datasets:
- Marcusxx/chungnam_firestation
model-index:
- name: chungnam_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. -->

# chungnam_large2_model

This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the Marcusxx/chungnam_firestation dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0603
- Cer: 21.8993

## 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     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.1193        | 1.6556  | 250  | 0.1941          | 78.9065 |
| 0.0298        | 3.3113  | 500  | 0.0792          | 75.7698 |
| 0.0143        | 4.9669  | 750  | 0.0694          | 13.9568 |
| 0.0031        | 6.6225  | 1000 | 0.0602          | 8.8633  |
| 0.0005        | 8.2781  | 1250 | 0.0572          | 16.0    |
| 0.0027        | 9.9338  | 1500 | 0.0541          | 15.1942 |
| 0.0001        | 11.5894 | 1750 | 0.0563          | 16.9209 |
| 0.0003        | 13.2450 | 2000 | 0.0554          | 18.7914 |
| 0.0001        | 14.9007 | 2250 | 0.0572          | 18.9065 |
| 0.0001        | 16.5563 | 2500 | 0.0581          | 20.6619 |
| 0.0001        | 18.2119 | 2750 | 0.0588          | 19.7410 |
| 0.0           | 19.8675 | 3000 | 0.0593          | 21.0072 |
| 0.0           | 21.5232 | 3250 | 0.0598          | 22.2734 |
| 0.0           | 23.1788 | 3500 | 0.0601          | 21.9856 |
| 0.0           | 24.8344 | 3750 | 0.0603          | 21.8993 |
| 0.0           | 26.4901 | 4000 | 0.0603          | 21.8993 |


### Framework versions

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