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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-large-v2
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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-large-v2
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2352
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- Wer: 8.1166
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- Cer: 5.0032
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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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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| 0.0897 | 0.1 | 1000 | 0.1884 | 11.0068 | 6.6992 |
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| 0.0396 | 0.2 | 2000 | 0.1749 | 9.7399 | 5.9350 |
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| 0.036 | 1.1 | 3000 | 0.1698 | 9.1419 | 5.6781 |
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| 0.012 | 1.2 | 4000 | 0.1849 | 9.3041 | 5.7661 |
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| 0.0151 | 2.09 | 5000 | 0.1879 | 9.1959 | 5.6761 |
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| 0.0047 | 2.19 | 6000 | 0.2097 | 8.6706 | 5.4422 |
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| 0.0046 | 3.09 | 7000 | 0.2040 | 8.8277 | 5.4717 |
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| 0.0015 | 3.19 | 8000 | 0.2260 | 8.4949 | 5.3101 |
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| 0.0013 | 4.09 | 9000 | 0.2339 | 8.3716 | 5.1471 |
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| 0.0005 | 4.19 | 10000 | 0.2352 | 8.1166 | 5.0032 |
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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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