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--- |
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library_name: transformers |
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language: |
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- ko |
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license: apache-2.0 |
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base_model: openai/whisper-large-v3 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- Suchae/whisper-large-v3-ko-middlesenior-dialect-speech-v1.1 |
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model-index: |
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- name: Suchae/whisper-large-v3-ko-middlesenior-dialect-speech-v1.1 |
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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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# Suchae/whisper-large-v3-ko-middlesenior-dialect-speech-v1.1 |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Suchae/whisper-large-v3-ko-middlesenior-dialect-speech-v1.1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5249 |
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- Cer: 14.4500 |
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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-06 |
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- train_batch_size: 10 |
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- eval_batch_size: 5 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 80 |
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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: 1 |
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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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| 1.333 | 0.0548 | 64 | 0.9131 | 19.4136 | |
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| 1.1099 | 0.1096 | 128 | 0.7550 | 17.2538 | |
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| 0.9577 | 0.1643 | 192 | 0.6955 | 17.2038 | |
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| 0.9198 | 0.2191 | 256 | 0.6615 | 15.8003 | |
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| 0.7995 | 0.2739 | 320 | 0.6357 | 16.5130 | |
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| 0.7898 | 0.3287 | 384 | 0.6150 | 15.8066 | |
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| 0.7344 | 0.3835 | 448 | 0.6022 | 14.9533 | |
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| 0.7035 | 0.4383 | 512 | 0.5846 | 14.3594 | |
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| 0.6936 | 0.4930 | 576 | 0.5711 | 16.6193 | |
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| 0.6427 | 0.5478 | 640 | 0.5602 | 14.7063 | |
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| 0.6365 | 0.6026 | 704 | 0.5530 | 15.0095 | |
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| 0.6107 | 0.6574 | 768 | 0.5440 | 14.5813 | |
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| 0.596 | 0.7122 | 832 | 0.5379 | 15.2315 | |
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| 0.5831 | 0.7670 | 896 | 0.5357 | 15.1377 | |
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| 0.5542 | 0.8217 | 960 | 0.5308 | 15.0314 | |
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| 0.5675 | 0.8765 | 1024 | 0.5277 | 15.2252 | |
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| 0.532 | 0.9313 | 1088 | 0.5252 | 15.6722 | |
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| 0.5255 | 0.9861 | 1152 | 0.5249 | 14.4500 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu118 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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