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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: whisper-small-nl
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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-small-nl
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3777
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- Wer: 19.8814
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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: 512
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- eval_batch_size: 64
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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: 50
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- training_steps: 1000
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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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| 0.8378 | 0.1 | 100 | 0.4933 | 23.8827 |
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| 0.5547 | 0.2 | 200 | 0.4476 | 21.0578 |
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| 0.3905 | 0.3 | 300 | 0.4335 | 21.1689 |
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| 0.3766 | 0.4 | 400 | 0.4267 | 20.0528 |
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| 0.4164 | 0.5 | 500 | 0.4139 | 21.4329 |
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| 0.2939 | 0.6 | 600 | 0.3864 | 18.3671 |
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| 0.2632 | 0.7 | 700 | 0.3864 | 18.4319 |
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| 0.6066 | 0.8 | 800 | 0.3804 | 19.2748 |
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| 0.2075 | 1.09 | 900 | 0.3794 | 18.8904 |
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| 0.2102 | 1.19 | 1000 | 0.3777 | 19.8814 |
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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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