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---
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: 54.347826086956516
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: 1.2164
- Wer: 54.3478
## 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: 2000
- training_steps: 20000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:--------:|:-----:|:---------------:|:--------:|
| 0.0826 | 6.6667 | 1000 | 0.6837 | 170.3934 |
| 0.0377 | 13.3333 | 2000 | 0.7952 | 108.2816 |
| 0.0131 | 20.0 | 3000 | 0.8730 | 56.7288 |
| 0.0066 | 26.6667 | 4000 | 0.8840 | 54.6584 |
| 0.0015 | 33.3333 | 5000 | 0.9585 | 55.2795 |
| 0.0123 | 40.0 | 6000 | 0.9682 | 55.9006 |
| 0.0006 | 46.6667 | 7000 | 1.0101 | 53.7267 |
| 0.0022 | 53.3333 | 8000 | 1.0249 | 55.7971 |
| 0.002 | 60.0 | 9000 | 1.0083 | 57.4534 |
| 0.0 | 66.6667 | 10000 | 1.0515 | 55.3830 |
| 0.0 | 73.3333 | 11000 | 1.0877 | 54.7619 |
| 0.0 | 80.0 | 12000 | 1.1063 | 54.9689 |
| 0.0 | 86.6667 | 13000 | 1.1240 | 55.3830 |
| 0.0 | 93.3333 | 14000 | 1.1405 | 55.1760 |
| 0.0 | 100.0 | 15000 | 1.1579 | 54.7619 |
| 0.0 | 106.6667 | 16000 | 1.1736 | 54.9689 |
| 0.0 | 113.3333 | 17000 | 1.1890 | 54.9689 |
| 0.0 | 120.0 | 18000 | 1.2021 | 54.4513 |
| 0.0 | 126.6667 | 19000 | 1.2120 | 54.3478 |
| 0.0 | 133.3333 | 20000 | 1.2164 | 54.3478 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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