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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 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4312 |
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- Wer: 19.0503 |
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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: 18000 |
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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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| 0.0887 | 1.71 | 2000 | 0.2817 | 21.0831 | |
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| 0.0168 | 3.41 | 4000 | 0.3108 | 19.6338 | |
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| 0.0027 | 5.12 | 6000 | 0.3421 | 19.8731 | |
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| 0.0012 | 6.83 | 8000 | 0.3713 | 19.1229 | |
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| 0.0005 | 8.53 | 10000 | 0.3844 | 19.2036 | |
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| 0.0004 | 10.24 | 12000 | 0.3900 | 19.0369 | |
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| 0.0008 | 11.94 | 14000 | 0.4161 | 19.9511 | |
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| 0.0002 | 13.65 | 16000 | 0.4201 | 19.1283 | |
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| 0.0001 | 15.36 | 18000 | 0.4312 | 19.0503 | |
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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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