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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: 0.2029
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- Wer: 8.3235
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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: 2
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- eval_batch_size: 1
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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: 20000
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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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| 0.2652 | 0.1 | 2000 | 0.3469 | 15.3537 |
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| 0.3273 | 0.2 | 4000 | 0.3151 | 14.1141 |
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| 0.2696 | 0.3 | 6000 | 0.2955 | 13.2472 |
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| 0.1725 | 0.4 | 8000 | 0.2787 | 11.6834 |
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| 0.1741 | 0.5 | 10000 | 0.2648 | 11.0088 |
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| 0.2037 | 0.6 | 12000 | 0.2470 | 10.1909 |
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| 0.1586 | 0.7 | 14000 | 0.2333 | 9.4096 |
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| 0.1548 | 0.8 | 16000 | 0.2184 | 8.9724 |
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| 0.1799 | 1.08 | 18000 | 0.2064 | 8.2830 |
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| 0.1165 | 1.18 | 20000 | 0.2029 | 8.3235 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.10.0+cu102
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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