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update model card README.md
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README.md
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---
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language:
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- ko
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- hf-asr-leaderboard
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- generated_from_trainer
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datasets:
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- Bingsu/zeroth-korean
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metrics:
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- wer
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model-index:
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- name: Whisper Small Ko - CookieMoster99
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: zeroth-korean
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type: Bingsu/zeroth-korean
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args: 'config: ko, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 86.67369372082517
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper Small Ko - CookieMoster99
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the zeroth-korean dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0884
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- Wer: 86.6737
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 4000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.1053 | 0.72 | 1000 | 0.1508 | 68.2729 |
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| 0.0518 | 1.44 | 2000 | 0.1074 | 80.8613 |
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| 0.0136 | 2.16 | 3000 | 0.0918 | 106.6707 |
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| 0.013 | 2.87 | 4000 | 0.0884 | 86.6737 |
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.3
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- Tokenizers 0.13.3
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