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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: 0.8488
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- Wer: 16.5882
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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 |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|
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| 0.2963 | 0.1 | 1000 | 0.9115 | 27.3641 |
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| 0.2676 | 0.2 | 2000 | 0.8796 | 24.1024 |
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| 0.3166 | 0.3 | 3000 | 0.8467 | 20.1700 |
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| 0.2797 | 0.4 | 4000 | 0.8756 | 29.4889 |
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| 0.2302 | 0.5 | 5000 | 0.8523 | 19.6414 |
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| 0.2803 | 0.6 | 6000 | 0.8715 | 19.7413 |
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| 0.2794 | 0.7 | 7000 | 0.8548 | 18.6840 |
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| 0.2173 | 0.8 | 8000 | 0.8543 | 17.9019 |
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| 0.217 | 0.9 | 9000 | 0.8518 | 16.3840 |
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| 0.1718 | 1.0 | 10000 | 0.8488 | 16.5882 |
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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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