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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-tiny |
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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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- haseong8012/korean-child-command-voice_train-0-10000 |
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metrics: |
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- wer |
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model-index: |
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- name: openai/whisper-tiny-Ko-haseong8012/korean-child-command-voice_train-0-10000 |
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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: haseong8012/korean-child-command-voice_train-0-10000 |
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type: haseong8012/korean-child-command-voice_train-0-10000 |
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args: 'config: ko, split: train, validation, test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 27.187571395933286 |
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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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# openai/whisper-tiny-Ko-haseong8012/korean-child-command-voice_train-0-10000 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the haseong8012/korean-child-command-voice_train-0-10000 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1263 |
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- Wer: 27.1876 |
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- Cer: 19.8556 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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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: 5000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
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| 1.1915 | 2.0 | 500 | 0.3624 | 78.8440 | 158.9770 | |
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| 0.0459 | 4.0 | 1000 | 0.2271 | 108.7274 | 129.0652 | |
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| 0.0111 | 6.0 | 1500 | 0.1616 | 44.8481 | 48.1227 | |
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| 0.0035 | 8.0 | 2000 | 0.1742 | 46.9043 | 44.5694 | |
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| 0.0014 | 10.0 | 2500 | 0.1635 | 32.8536 | 33.4027 | |
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| 0.0003 | 12.0 | 3000 | 0.1325 | 25.9995 | 21.7572 | |
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| 0.0001 | 14.0 | 3500 | 0.1300 | 27.1190 | 25.5743 | |
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| 0.0001 | 16.0 | 4000 | 0.1285 | 27.3475 | 24.4084 | |
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| 0.0001 | 18.0 | 4500 | 0.1266 | 27.1190 | 19.7030 | |
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| 0.0001 | 20.0 | 5000 | 0.1263 | 27.1876 | 19.8556 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 1.12.1 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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