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README.md
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---
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license: apache-2.0
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tags:
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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-ko-1195h
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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-ko-1195h
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1552
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- Wer: 8.6411
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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: 10
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- eval_batch_size: 10
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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: 59151
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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 | Wer |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|
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| 0.0782 | 0.33 | 6572 | 0.1833 | 10.9268 |
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| 0.07 | 0.67 | 13144 | 0.1680 | 10.3611 |
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| 0.0605 | 1.0 | 19716 | 0.1600 | 9.9357 |
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| 0.0345 | 1.33 | 26288 | 0.1573 | 9.4492 |
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| 0.0365 | 1.67 | 32860 | 0.1518 | 9.3395 |
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| 0.0339 | 2.0 | 39432 | 0.1478 | 8.9811 |
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| 0.0176 | 2.33 | 46004 | 0.1596 | 9.1702 |
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| 0.0159 | 2.67 | 52576 | 0.1572 | 8.6746 |
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| 0.0141 | 3.0 | 59148 | 0.1552 | 8.6411 |
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### Framework versions
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- Transformers 4.28.0.dev0
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- Pytorch 1.13.1+cu117
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- Datasets 2.11.0
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- Tokenizers 0.13.2
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