---
base_model: openai/whisper-base
datasets:
- Oyounghyun/whisper_study_data
language:
- ko
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
model-index:
- name: study0702
  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. -->

# study0702

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the train dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1707
- Cer: 6.3423

## 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: 10
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.2677        | 0.9615 | 100  | 0.2343          | 8.5421 |
| 0.1167        | 1.9231 | 200  | 0.1853          | 7.1773 |
| 0.0532        | 2.8846 | 300  | 0.1747          | 6.6635 |
| 0.0284        | 3.8462 | 400  | 0.1718          | 6.7919 |
| 0.0174        | 4.8077 | 500  | 0.1705          | 6.3423 |
| 0.0081        | 5.7692 | 600  | 0.1689          | 5.9891 |
| 0.0069        | 6.7308 | 700  | 0.1702          | 6.2781 |
| 0.0053        | 7.6923 | 800  | 0.1702          | 6.5511 |
| 0.0045        | 8.6538 | 900  | 0.1703          | 6.3263 |
| 0.0048        | 9.6154 | 1000 | 0.1707          | 6.3423 |


### Framework versions

- Transformers 4.43.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1