---
language:
- ko
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-large-v2
datasets:
- Bingsu/zeroth-korean
model-index:
- name: Whisper large-v2 Korean - ML_project_voice2text_largev2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper large-v2 Korean - ML_project_voice2text_largev2

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co./openai/whisper-large-v2) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0754
- Cer: 1.7235

## 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: 0.001
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 8000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.2673        | 0.1797 | 1000 | 0.2870          | 8.9863  |
| 0.2145        | 0.3593 | 2000 | 0.2292          | 6.1204  |
| 0.1762        | 0.5390 | 3000 | 0.1896          | 16.8891 |
| 0.1408        | 0.7186 | 4000 | 0.1579          | 4.1889  |
| 0.1077        | 0.8983 | 5000 | 0.1229          | 4.1104  |
| 0.0763        | 1.0780 | 6000 | 0.0978          | 3.4940  |
| 0.0414        | 1.2576 | 7000 | 0.0832          | 2.2456  |
| 0.0336        | 1.4373 | 8000 | 0.0754          | 1.7235  |


### Framework versions

- PEFT 0.11.2.dev0
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1