---
language:
- ko
license: apache-2.0
base_model: openai/whisper-medium
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- Marcusxx/chungnamFireStation3Kfiles
metrics:
- wer
model-index:
- name: chungnam_firestation3Kfiles_WER_model
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: Marcusxx/chungnamFireStation3Kfiles
      type: Marcusxx/chungnamFireStation3Kfiles
      args: 'config: ko, split: valid'
    metrics:
    - type: wer
      value: 53.20910973084886
      name: Wer
---

<!-- 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_firestation3Kfiles_WER_model

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Marcusxx/chungnamFireStation3Kfiles dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0247
- Wer: 53.2091

## 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: 1000
- training_steps: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Wer      |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 0.0822        | 6.6667  | 1000  | 0.6869          | 122.9814 |
| 0.0145        | 13.3333 | 2000  | 0.8470          | 58.6957  |
| 0.0092        | 20.0    | 3000  | 0.8744          | 52.6915  |
| 0.0041        | 26.6667 | 4000  | 0.9301          | 58.0745  |
| 0.0009        | 33.3333 | 5000  | 0.9330          | 55.1760  |
| 0.0004        | 40.0    | 6000  | 0.9455          | 52.7950  |
| 0.0001        | 46.6667 | 7000  | 0.9811          | 52.3810  |
| 0.0           | 53.3333 | 8000  | 1.0021          | 52.6915  |
| 0.0           | 60.0    | 9000  | 1.0185          | 52.8986  |
| 0.0           | 66.6667 | 10000 | 1.0247          | 53.2091  |


### Framework versions

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