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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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- customd_ataset |
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model-index: |
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- name: Whisper large-v2 Korean - ML_project_custom_data_5epoch_with500_ko |
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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_custom_data_5epoch_with500_ko |
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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 customd_ataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6614 |
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- Cer: 97.2243 |
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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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- num_epochs: 5 |
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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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| 0.5937 | 1.0 | 113 | 0.6334 | 114.5362 | |
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| 0.3443 | 2.0 | 226 | 0.6593 | 71.0007 | |
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| 0.1866 | 3.0 | 339 | 0.6681 | 99.4156 | |
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| 0.0707 | 4.0 | 452 | 0.6492 | 111.1030 | |
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| 0.0261 | 5.0 | 565 | 0.6614 | 97.2243 | |
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### Framework versions |
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- PEFT 0.11.2.dev0 |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
