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--- |
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base_model: openai/whisper-tiny |
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datasets: |
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- mozilla-foundation/common_voice_17_0 |
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language: |
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- ko |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Whisper Tiny Ko - Roooy |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: Common Voice 17.0 |
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type: mozilla-foundation/common_voice_17_0 |
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config: ko |
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split: None |
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args: 'config: ko, split: train+valid & test' |
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metrics: |
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- type: wer |
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value: 61.8411000763942 |
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name: Wer |
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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 Tiny Ko - Roooy |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 17.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3774 |
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- Cer: 30.0833 |
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- Wer: 61.8411 |
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- Cer Wer Avg: 45.9622 |
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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: 10000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Cer | Wer | Cer Wer Avg | |
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|:-------------:|:--------:|:-----:|:---------------:|:-------:|:-------:|:-----------:| |
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| 0.0005 | 22.2222 | 1000 | 1.0691 | 27.3648 | 58.8235 | 43.0942 | |
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| 0.0002 | 44.4444 | 2000 | 1.1396 | 30.6350 | 62.9488 | 46.7919 | |
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| 0.0001 | 66.6667 | 3000 | 1.1884 | 31.1967 | 63.5982 | 47.3974 | |
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| 0.0001 | 88.8889 | 4000 | 1.2300 | 31.4776 | 64.2093 | 47.8435 | |
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| 0.0 | 111.1111 | 5000 | 1.2656 | 31.7284 | 64.7441 | 48.2362 | |
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| 0.0 | 133.3333 | 6000 | 1.2993 | 32.1396 | 65.0497 | 48.5946 | |
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| 0.0 | 155.5556 | 7000 | 1.3272 | 32.3804 | 64.9351 | 48.6577 | |
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| 0.0 | 177.7778 | 8000 | 1.3518 | 29.9829 | 61.8029 | 45.8929 | |
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| 0.0 | 200.0 | 9000 | 1.3693 | 30.1836 | 61.8793 | 46.0314 | |
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| 0.0 | 222.2222 | 10000 | 1.3774 | 30.0833 | 61.8411 | 45.9622 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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