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---
language:
- ko
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
base_model: openai/whisper-large
datasets:
- Marcusxx/chungnam_firestation
model-index:
- name: chungnam_large2_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_large2_model
This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the Marcusxx/chungnam_firestation dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0603
- Cer: 21.8993
## 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: 100
- training_steps: 4000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.1193 | 1.6556 | 250 | 0.1941 | 78.9065 |
| 0.0298 | 3.3113 | 500 | 0.0792 | 75.7698 |
| 0.0143 | 4.9669 | 750 | 0.0694 | 13.9568 |
| 0.0031 | 6.6225 | 1000 | 0.0602 | 8.8633 |
| 0.0005 | 8.2781 | 1250 | 0.0572 | 16.0 |
| 0.0027 | 9.9338 | 1500 | 0.0541 | 15.1942 |
| 0.0001 | 11.5894 | 1750 | 0.0563 | 16.9209 |
| 0.0003 | 13.2450 | 2000 | 0.0554 | 18.7914 |
| 0.0001 | 14.9007 | 2250 | 0.0572 | 18.9065 |
| 0.0001 | 16.5563 | 2500 | 0.0581 | 20.6619 |
| 0.0001 | 18.2119 | 2750 | 0.0588 | 19.7410 |
| 0.0 | 19.8675 | 3000 | 0.0593 | 21.0072 |
| 0.0 | 21.5232 | 3250 | 0.0598 | 22.2734 |
| 0.0 | 23.1788 | 3500 | 0.0601 | 21.9856 |
| 0.0 | 24.8344 | 3750 | 0.0603 | 21.8993 |
| 0.0 | 26.4901 | 4000 | 0.0603 | 21.8993 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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