---
language:
- ko
license: apache-2.0
base_model: openai/whisper-base
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- DragonLine/ksponspeech_04
model-index:
- name: train04
  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. -->

# train04

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the ksponspeech_04 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4226
- Cer: 14.6674

## 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: 128
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4513        | 0.13  | 100  | 0.4522          | 15.1448 |
| 0.4537        | 0.26  | 200  | 0.4484          | 14.7932 |
| 0.4419        | 0.39  | 300  | 0.4439          | 14.4669 |
| 0.4402        | 0.52  | 400  | 0.4399          | 14.8185 |
| 0.4397        | 0.65  | 500  | 0.4353          | 14.4394 |
| 0.4359        | 0.77  | 600  | 0.4282          | 14.0848 |
| 0.4245        | 0.9   | 700  | 0.4226          | 14.6674 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0