---
language:
- ko
license: apache-2.0
base_model: openai/whisper-medium
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- Marcusxx/gwanju2
model-index:
- name: gwanju2_mparameters1e-5__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. -->

# gwanju2_mparameters1e-5__model

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Marcusxx/gwanju2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8405
- Cer: 19.4108

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- training_steps: 50000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Cer      |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 0.43          | 0.6046  | 1000  | 0.4009          | 166.0129 |
| 0.2587        | 1.2092  | 2000  | 0.3832          | 55.7046  |
| 0.2636        | 1.8138  | 3000  | 0.3843          | 98.7021  |
| 0.1623        | 2.4184  | 4000  | 0.4000          | 33.8374  |
| 0.1503        | 3.0230  | 5000  | 0.4133          | 27.1959  |
| 0.1061        | 3.6276  | 6000  | 0.4223          | 25.8623  |
| 0.0638        | 4.2322  | 7000  | 0.4534          | 24.9179  |
| 0.0671        | 4.8368  | 8000  | 0.4526          | 22.6665  |
| 0.0406        | 5.4414  | 9000  | 0.4991          | 21.5252  |
| 0.0372        | 6.0459  | 10000 | 0.5183          | 22.3878  |
| 0.0273        | 6.6505  | 11000 | 0.5348          | 21.8627  |
| 0.0195        | 7.2551  | 12000 | 0.5536          | 20.8458  |
| 0.0212        | 7.8597  | 13000 | 0.5466          | 21.0162  |
| 0.0146        | 8.4643  | 14000 | 0.5870          | 21.4089  |
| 0.0126        | 9.0689  | 15000 | 0.6040          | 26.2815  |
| 0.0113        | 9.6735  | 16000 | 0.6097          | 20.9229  |
| 0.0088        | 10.2781 | 17000 | 0.6190          | 21.1083  |
| 0.0098        | 10.8827 | 18000 | 0.6309          | 20.7387  |
| 0.0069        | 11.4873 | 19000 | 0.6489          | 20.5855  |
| 0.0056        | 12.0919 | 20000 | 0.6642          | 20.5590  |
| 0.0064        | 12.6965 | 21000 | 0.6514          | 20.8815  |
| 0.0053        | 13.3011 | 22000 | 0.6716          | 20.3149  |
| 0.005         | 13.9057 | 23000 | 0.6720          | 20.3068  |
| 0.0037        | 14.5103 | 24000 | 0.6912          | 20.6039  |
| 0.0044        | 15.1149 | 25000 | 0.7038          | 20.6166  |
| 0.004         | 15.7195 | 26000 | 0.6959          | 20.3149  |
| 0.0029        | 16.3241 | 27000 | 0.7064          | 20.6454  |
| 0.0031        | 16.9287 | 28000 | 0.7188          | 20.5463  |
| 0.002         | 17.5333 | 29000 | 0.7127          | 20.7640  |
| 0.0033        | 18.1378 | 30000 | 0.7193          | 20.4496  |
| 0.0019        | 18.7424 | 31000 | 0.7109          | 20.6719  |
| 0.002         | 19.3470 | 32000 | 0.7208          | 20.1306  |
| 0.0013        | 19.9516 | 33000 | 0.7442          | 20.1490  |
| 0.0007        | 20.5562 | 34000 | 0.7357          | 19.9198  |
| 0.0012        | 21.1608 | 35000 | 0.7501          | 19.5755  |
| 0.0022        | 21.7654 | 36000 | 0.7537          | 19.5870  |
| 0.0008        | 22.3700 | 37000 | 0.7686          | 19.6031  |
| 0.0013        | 22.9746 | 38000 | 0.7702          | 20.6097  |
| 0.0005        | 23.5792 | 39000 | 0.7712          | 19.9590  |
| 0.0007        | 24.1838 | 40000 | 0.7802          | 20.2020  |
| 0.0004        | 24.7884 | 41000 | 0.8050          | 19.5536  |
| 0.0004        | 25.3930 | 42000 | 0.8012          | 19.8093  |
| 0.0003        | 25.9976 | 43000 | 0.8049          | 19.6722  |
| 0.0002        | 26.6022 | 44000 | 0.8094          | 19.5214  |
| 0.0002        | 27.2068 | 45000 | 0.8109          | 19.6296  |
| 0.0001        | 27.8114 | 46000 | 0.8206          | 19.5248  |
| 0.0001        | 28.4160 | 47000 | 0.8299          | 19.5974  |
| 0.0001        | 29.0206 | 48000 | 0.8343          | 19.5490  |
| 0.0001        | 29.6252 | 49000 | 0.8395          | 19.4661  |
| 0.0001        | 30.2297 | 50000 | 0.8405          | 19.4108  |


### Framework versions

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