---
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: study0703
  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. -->

# study0703

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: 0.1988
- Cer: 6.6313

## 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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Cer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 0.004         | 9.6154  | 1000 | 0.1731          | 6.3102 |
| 0.0007        | 19.2308 | 2000 | 0.1849          | 6.3584 |
| 0.0004        | 28.8462 | 3000 | 0.1921          | 6.4226 |
| 0.0003        | 38.4615 | 4000 | 0.1968          | 6.5992 |
| 0.0002        | 48.0769 | 5000 | 0.1988          | 6.6313 |


### Framework versions

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