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---
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
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