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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: openai/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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# openai/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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2836
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- Wer: 8.7213
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- Cer: 5.4698
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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: 32
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- eval_batch_size: 16
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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: 500
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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 | Wer | Cer |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|
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| 0.1106 | 1.1 | 1000 | 0.1827 | 10.3480 | 6.4784 |
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| 0.0487 | 2.2 | 2000 | 0.1799 | 9.4764 | 5.9127 |
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| 0.0243 | 3.29 | 3000 | 0.1950 | 9.2111 | 5.8069 |
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| 0.0106 | 4.39 | 4000 | 0.2113 | 8.9713 | 5.5756 |
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| 0.0054 | 5.49 | 5000 | 0.2325 | 8.6470 | 5.4041 |
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| 0.0031 | 6.59 | 6000 | 0.2462 | 8.7078 | 5.4409 |
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| 0.0014 | 7.68 | 7000 | 0.2608 | 8.7145 | 5.4849 |
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| 0.0009 | 8.78 | 8000 | 0.2695 | 8.6301 | 5.3876 |
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| 0.0004 | 9.88 | 9000 | 0.2794 | 8.6064 | 5.3528 |
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| 0.0003 | 10.98 | 10000 | 0.2836 | 8.7213 | 5.4698 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.13.0+cu117
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- Datasets 2.7.1.dev0
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- Tokenizers 0.13.2
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