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--- |
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base_model: openai/whisper-base |
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datasets: |
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- Oyounghyun/whisper_study_data |
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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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- generated_from_trainer |
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model-index: |
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- name: study0702 |
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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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# study0702 |
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the train dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1707 |
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- Cer: 6.3423 |
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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: 10 |
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- training_steps: 1000 |
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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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| 0.2677 | 0.9615 | 100 | 0.2343 | 8.5421 | |
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| 0.1167 | 1.9231 | 200 | 0.1853 | 7.1773 | |
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| 0.0532 | 2.8846 | 300 | 0.1747 | 6.6635 | |
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| 0.0284 | 3.8462 | 400 | 0.1718 | 6.7919 | |
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| 0.0174 | 4.8077 | 500 | 0.1705 | 6.3423 | |
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| 0.0081 | 5.7692 | 600 | 0.1689 | 5.9891 | |
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| 0.0069 | 6.7308 | 700 | 0.1702 | 6.2781 | |
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| 0.0053 | 7.6923 | 800 | 0.1702 | 6.5511 | |
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| 0.0045 | 8.6538 | 900 | 0.1703 | 6.3263 | |
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| 0.0048 | 9.6154 | 1000 | 0.1707 | 6.3423 | |
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### Framework versions |
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- Transformers 4.43.0.dev0 |
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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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