---
language:
- ko
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- Marcusxx/chungnam_firestation
model-index:
- name: chungnam_firestation_tiny_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_firestation_tiny_model

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Marcusxx/chungnam_firestation dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0616
- Cer: 59.7122

## 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: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Cer      |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 1.9425        | 0.6623  | 100  | 1.5318          | 164.8345 |
| 0.9552        | 1.3245  | 200  | 0.9569          | 148.0576 |
| 0.6638        | 1.9868  | 300  | 0.6359          | 126.2734 |
| 0.3385        | 2.6490  | 400  | 0.4440          | 113.9856 |
| 0.1794        | 3.3113  | 500  | 0.2976          | 96.2590  |
| 0.1331        | 3.9735  | 600  | 0.2152          | 184.6619 |
| 0.0666        | 4.6358  | 700  | 0.1515          | 97.4964  |
| 0.0354        | 5.2980  | 800  | 0.1093          | 77.2662  |
| 0.0311        | 5.9603  | 900  | 0.0887          | 77.2950  |
| 0.015         | 6.6225  | 1000 | 0.0749          | 102.1007 |
| 0.0089        | 7.2848  | 1100 | 0.0686          | 68.5180  |
| 0.0052        | 7.9470  | 1200 | 0.0646          | 65.3237  |
| 0.0036        | 8.6093  | 1300 | 0.0614          | 59.2518  |
| 0.0029        | 9.2715  | 1400 | 0.0607          | 64.6043  |
| 0.0025        | 9.9338  | 1500 | 0.0607          | 67.5396  |
| 0.003         | 10.5960 | 1600 | 0.0612          | 59.2806  |
| 0.0019        | 11.2583 | 1700 | 0.0614          | 56.1151  |
| 0.0018        | 11.9205 | 1800 | 0.0613          | 55.6547  |
| 0.0017        | 12.5828 | 1900 | 0.0616          | 60.1151  |
| 0.0017        | 13.2450 | 2000 | 0.0616          | 59.7122  |


### Framework versions

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