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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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tags: |
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- hf-asr-leaderboard |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- kresnik/zeroth_korean |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium Korean |
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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: kresnik/zeroth_korean |
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config: clean |
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split: test |
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args: 'split: test' |
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metrics: |
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- name: Test Wer |
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type: wer |
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value: 3.6440295136274656 |
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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 Medium Korean |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Zeroth Korean dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0727 |
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- Wer: 3.6440 |
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- Cer: 1.4840 |
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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-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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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- mixed_precision_training: Native AMP |
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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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| 0.0873 | 0.72 | 1000 | 0.1086 | 7.7549 | 2.5597 | |
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| 0.0258 | 1.44 | 2000 | 0.0805 | 4.5475 | 1.7588 | |
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| 0.0091 | 2.16 | 3000 | 0.0719 | 3.7946 | 1.5664 | |
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| 0.0086 | 2.88 | 4000 | 0.0704 | 3.5537 | 1.5232 | |
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| 0.0019 | 3.59 | 5000 | 0.0727 | 3.6440 | 1.4840 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0a0+d0d6b1f |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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