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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: 0.5814
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- Wer: 13.7086
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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: 8e-06
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- train_batch_size: 32
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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: 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 |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|
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| 0.0265 | 3.14 | 1000 | 0.3690 | 14.7607 |
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| 0.0063 | 6.29 | 2000 | 0.4342 | 14.0926 |
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| 0.0016 | 9.43 | 3000 | 0.4847 | 14.3609 |
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| 0.002 | 12.58 | 4000 | 0.4919 | 14.1715 |
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| 0.0013 | 15.72 | 5000 | 0.5114 | 14.2294 |
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| 0.0014 | 18.87 | 6000 | 0.5197 | 13.9137 |
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| 0.0003 | 22.01 | 7000 | 0.5422 | 14.1978 |
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| 0.0001 | 25.16 | 8000 | 0.5659 | 13.8716 |
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| 0.0001 | 28.3 | 9000 | 0.5772 | 13.7296 |
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| 0.0001 | 31.45 | 10000 | 0.5814 | 13.7086 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.13.1+cu117
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- Datasets 2.7.1.dev0
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- Tokenizers 0.13.2
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