---
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
  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. -->

# Whisper large-v2 Korean - ML_project_voice2text

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: 0.0646
- Cer: 1.4722

## 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: 16000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Cer    |
|:-------------:|:------:|:-----:|:---------------:|:------:|
| 0.2332        | 0.3593 | 2000  | 0.2677          | 7.6162 |
| 0.196         | 0.7186 | 4000  | 0.2293          | 6.0733 |
| 0.1524        | 1.0780 | 6000  | 0.1864          | 5.3510 |
| 0.1062        | 1.4373 | 8000  | 0.1448          | 3.4508 |
| 0.0815        | 1.7966 | 10000 | 0.1126          | 3.2428 |
| 0.0349        | 2.1559 | 12000 | 0.0863          | 1.9394 |
| 0.0281        | 2.5153 | 14000 | 0.0732          | 1.6214 |
| 0.0191        | 2.8746 | 16000 | 0.0646          | 1.4722 |


### Framework versions

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