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---
language:
- ko
license: apache-2.0
base_model: openai/whisper-base
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- DragonLine/ksponspeech_03
model-index:
- name: train03
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. -->
# train03
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the ksponspeech_03 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4521
- Cer: 14.7492
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.7999 | 0.13 | 100 | 0.6914 | 20.0296 |
| 0.5632 | 0.26 | 200 | 0.5602 | 16.9970 |
| 0.5309 | 0.39 | 300 | 0.5195 | 15.8134 |
| 0.4961 | 0.52 | 400 | 0.4940 | 15.6669 |
| 0.4865 | 0.65 | 500 | 0.4764 | 15.1768 |
| 0.4688 | 0.77 | 600 | 0.4607 | 14.9871 |
| 0.4357 | 0.9 | 700 | 0.4521 | 14.7492 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
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