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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-tiny
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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-tiny
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8374
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- Wer: 48.6999
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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: 3e-06
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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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- distributed_type: multi-GPU
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.3389 | 8.33 | 1000 | 0.5659 | 49.1363 |
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| 0.1562 | 16.67 | 2000 | 0.5615 | 45.6538 |
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| 0.0616 | 25.0 | 3000 | 0.6440 | 46.9632 |
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| 0.0116 | 33.33 | 4000 | 0.7578 | 47.9569 |
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| 0.0046 | 41.67 | 5000 | 0.8374 | 48.6999 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 2.0.0.dev20221216+cu116
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- Datasets 2.7.1.dev0
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- Tokenizers 0.13.2
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