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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: whisper-medium-bem
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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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# whisper-medium-bem
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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: 0.3519
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- Wer: 33.5877
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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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: 5000
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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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| 0.6509 | 0.34 | 500 | 0.4872 | 50.9031 |
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| 0.5212 | 0.67 | 1000 | 0.3972 | 40.5156 |
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| 0.3957 | 1.01 | 1500 | 0.3451 | 36.4793 |
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| 0.2956 | 1.34 | 2000 | 0.3421 | 37.3866 |
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| 0.2987 | 1.68 | 2500 | 0.3206 | 34.5374 |
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| 0.1665 | 2.02 | 3000 | 0.3290 | 34.1135 |
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| 0.1557 | 2.35 | 3500 | 0.3334 | 35.0462 |
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| 0.1345 | 2.69 | 4000 | 0.3374 | 33.8506 |
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| 0.0617 | 3.02 | 4500 | 0.3445 | 33.6216 |
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| 0.0661 | 3.36 | 5000 | 0.3519 | 33.5877 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.12.1+cu113
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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