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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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base_model: openai/whisper-medium |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- DianaJin/krmodel |
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model-index: |
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- name: jinkrsmodel |
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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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# jinkrsmodel |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the DianaJin/krmodel dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1290 |
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- Cer: 92.0690 |
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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: 20 |
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- training_steps: 160 |
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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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| 2.1899 | 13.33 | 40 | 1.0819 | 153.1034 | |
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| 0.0027 | 26.67 | 80 | 1.0554 | 24.8276 | |
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| 0.0006 | 40.0 | 120 | 1.1173 | 39.3103 | |
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| 0.0004 | 53.33 | 160 | 1.1290 | 92.0690 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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