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--- |
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base_model: openai/whisper-large |
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datasets: |
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- Marcusxx/cheonanAddresses |
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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: cheonanAddresses_torch_large_model_model |
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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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# cheonanAddresses_torch_large_model_model |
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This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the Marcusxx/cheonanAddresses dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0534 |
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- Cer: 1.8909 |
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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: 100 |
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- training_steps: 10000 |
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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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| 0.0757 | 0.3101 | 1000 | 0.0772 | 2.2598 | |
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| 0.0714 | 0.6202 | 2000 | 0.0720 | 2.3372 | |
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| 0.0624 | 0.9302 | 3000 | 0.0676 | 2.2765 | |
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| 0.0583 | 1.2403 | 4000 | 0.0642 | 2.2266 | |
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| 0.0611 | 1.5504 | 5000 | 0.0604 | 2.0681 | |
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| 0.0552 | 1.8605 | 6000 | 0.0590 | 2.1282 | |
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| 0.0497 | 2.1705 | 7000 | 0.0569 | 2.0233 | |
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| 0.0423 | 2.4806 | 8000 | 0.0560 | 1.9835 | |
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| 0.0495 | 2.7907 | 9000 | 0.0538 | 1.9387 | |
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| 0.0364 | 3.1008 | 10000 | 0.0534 | 1.8909 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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