---
language:
- ko
license: apache-2.0
base_model: openai/whisper-base
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- INo0121/low_quality_call_voice
model-index:
- name: Whisper Base for Korean Low quaiity Call Voices
  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 Base for Korean Low quaiity Call Voices

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Korean Low Quaiity Call Voices dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4941
- Cer: 30.7538

## 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: 8000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.6416        | 0.44  | 1000 | 0.6564          | 64.1489 |
| 0.5914        | 0.88  | 2000 | 0.5688          | 37.4957 |
| 0.435         | 1.32  | 3000 | 0.5349          | 32.6734 |
| 0.4056        | 1.76  | 4000 | 0.5124          | 30.9065 |
| 0.3368        | 2.2   | 5000 | 0.5057          | 32.6925 |
| 0.3107        | 2.64  | 6000 | 0.4979          | 32.8315 |
| 0.3016        | 3.08  | 7000 | 0.4947          | 29.3060 |
| 0.2979        | 3.52  | 8000 | 0.4941          | 30.7538 |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3