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---
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
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