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README.md
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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-base
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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-base
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3608
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- Wer: 16.1510
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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: 40000
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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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| 0.4841 | 0.1 | 4000 | 0.5078 | 26.7974 |
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| 0.3116 | 0.2 | 8000 | 0.4524 | 22.9455 |
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| 0.3971 | 0.3 | 12000 | 0.4281 | 21.5427 |
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| 0.2965 | 0.4 | 16000 | 0.4037 | 20.3082 |
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| 0.2634 | 1.09 | 20000 | 0.3875 | 18.7980 |
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| 0.2163 | 1.19 | 24000 | 0.3754 | 17.8170 |
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| 0.3182 | 1.29 | 28000 | 0.3695 | 16.8587 |
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| 0.2201 | 1.39 | 32000 | 0.3613 | 16.5785 |
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| 0.155 | 2.08 | 36000 | 0.3633 | 16.3959 |
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| 0.0904 | 2.18 | 40000 | 0.3608 | 16.1510 |
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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 2.8.0
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- Tokenizers 0.13.2
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