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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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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: openai/whisper-large-v2 |
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datasets: |
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- Bingsu/zeroth-korean |
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model-index: |
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- name: Whisper large-v2 Korean - ML_project_voice2text_largev2 |
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results: [] |
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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 large-v2 Korean - ML_project_voice2text_largev2 |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the Common Voice 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0754 |
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- Cer: 1.7235 |
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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: 0.001 |
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- train_batch_size: 4 |
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- eval_batch_size: 2 |
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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: 50 |
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- training_steps: 8000 |
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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 | |
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|:-------------:|:------:|:----:|:---------------:|:-------:| |
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| 0.2673 | 0.1797 | 1000 | 0.2870 | 8.9863 | |
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| 0.2145 | 0.3593 | 2000 | 0.2292 | 6.1204 | |
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| 0.1762 | 0.5390 | 3000 | 0.1896 | 16.8891 | |
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| 0.1408 | 0.7186 | 4000 | 0.1579 | 4.1889 | |
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| 0.1077 | 0.8983 | 5000 | 0.1229 | 4.1104 | |
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| 0.0763 | 1.0780 | 6000 | 0.0978 | 3.4940 | |
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| 0.0414 | 1.2576 | 7000 | 0.0832 | 2.2456 | |
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| 0.0336 | 1.4373 | 8000 | 0.0754 | 1.7235 | |
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### Framework versions |
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- PEFT 0.11.2.dev0 |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
