---
language:
- ko
license: apache-2.0
base_model: openai/whisper-medium
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- Marcusxx/chungnam_firestation
model-index:
- name: chungnam_firestation_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_model

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Marcusxx/chungnam_firestation dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0714
- Cer: 22.6763

## 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      |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 0.2819        | 1.3245  | 200  | 0.3365          | 276.3165 |
| 0.0471        | 2.6490  | 400  | 0.1175          | 51.0791  |
| 0.0182        | 3.9735  | 600  | 0.0832          | 52.0576  |
| 0.0059        | 5.2980  | 800  | 0.0678          | 24.5755  |
| 0.0015        | 6.6225  | 1000 | 0.0668          | 37.5540  |
| 0.0004        | 7.9470  | 1200 | 0.0673          | 23.5396  |
| 0.0002        | 9.2715  | 1400 | 0.0693          | 24.8058  |
| 0.0002        | 10.5960 | 1600 | 0.0704          | 23.7986  |
| 0.0002        | 11.9205 | 1800 | 0.0712          | 22.5899  |
| 0.0002        | 13.2450 | 2000 | 0.0714          | 22.6763  |


### Framework versions

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