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---
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language:
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- sv
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license: apache-2.0
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tags:
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- hf-asr-leaderboard
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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 - Swedish
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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 - Swedish
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 & NST dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3551
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- Wer: 19.2143
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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: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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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: 8000
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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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| 0.2128 | 0.85 | 1000 | 0.2955 | 22.1613 |
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| 0.0871 | 1.71 | 2000 | 0.2790 | 20.8034 |
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| 0.0373 | 2.56 | 3000 | 0.2884 | 19.9269 |
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| 0.0163 | 3.41 | 4000 | 0.3082 | 19.5477 |
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| 0.0046 | 4.27 | 5000 | 0.3183 | 19.5881 |
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| 0.0023 | 5.12 | 6000 | 0.3397 | 19.3757 |
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| 0.0023 | 5.97 | 7000 | 0.3468 | 19.3219 |
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| 0.0013 | 6.83 | 8000 | 0.3551 | 19.2143 |
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### Framework versions
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- Transformers 4.25.0.dev0
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- Pytorch 1.12.1
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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