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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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metrics: |
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- wer |
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model-index: |
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- name: whisper_medium |
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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_medium |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the aihub dataset. |
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It achieves the following results on the evaluation set: |
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- Cer: 15.6625 |
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- Loss: 1.4176 |
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- Wer: 32.4788 |
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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-07 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 500 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Cer | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:-------:|:---------------:|:-------:| |
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| 1.8819 | 0.01 | 100 | 11.9999 | 1.5851 | 29.7754 | |
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| 1.6964 | 0.02 | 200 | 14.6066 | 1.4982 | 31.2945 | |
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| 1.6783 | 0.02 | 300 | 14.8315 | 1.4504 | 31.7318 | |
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| 1.6238 | 0.03 | 400 | 15.3631 | 1.4259 | 32.1490 | |
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| 1.7569 | 0.04 | 500 | 15.6625 | 1.4176 | 32.4788 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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