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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: 0.2790
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- Wer: 8.3986
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- Cer: 5.2582
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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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| 0.1691 | 1.01 | 1000 | 0.1871 | 10.1740 | 6.3509 |
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| 0.0916 | 2.02 | 2000 | 0.1691 | 8.9797 | 5.5499 |
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| 0.0452 | 3.03 | 3000 | 0.1902 | 8.9814 | 5.5867 |
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| 0.0213 | 4.04 | 4000 | 0.2062 | 8.9375 | 5.6531 |
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| 0.0096 | 5.05 | 5000 | 0.2284 | 8.7331 | 5.6202 |
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| 0.0041 | 6.05 | 6000 | 0.2395 | 8.5051 | 5.3009 |
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| 0.0022 | 7.06 | 7000 | 0.2535 | 8.5507 | 5.3640 |
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| 0.001 | 8.07 | 8000 | 0.2656 | 8.5557 | 5.3791 |
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| 0.0006 | 9.08 | 9000 | 0.2721 | 8.4037 | 5.2739 |
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| 0.0004 | 10.09 | 10000 | 0.2790 | 8.3986 | 5.2582 |
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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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