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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_10epoch_with500 |
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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_10epoch_with500 |
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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: 0.7993 |
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- Cer: 20.9642 |
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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: 10 |
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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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| 0.1305 | 1.0 | 113 | 0.8786 | 53.5427 | |
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| 0.1204 | 2.0 | 226 | 0.8298 | 93.2067 | |
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| 0.0958 | 3.0 | 339 | 0.8469 | 24.7626 | |
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| 0.0543 | 4.0 | 452 | 0.8597 | 46.3112 | |
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| 0.0408 | 5.0 | 565 | 0.8339 | 63.3309 | |
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| 0.0375 | 6.0 | 678 | 0.8222 | 60.4091 | |
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| 0.0267 | 7.0 | 791 | 0.7989 | 20.7451 | |
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| 0.0066 | 8.0 | 904 | 0.8033 | 24.9087 | |
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| 0.0061 | 9.0 | 1017 | 0.7966 | 20.2337 | |
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| 0.0021 | 10.0 | 1130 | 0.7993 | 20.9642 | |
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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 |