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--- |
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language: |
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- sv-SE |
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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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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Hi - Swedish |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: null |
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split: None |
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args: 'config: sv-SE, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 51.31886746793579 |
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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 Hi - 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: 1.0765 |
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- Wer: 51.3189 |
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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: 0.0005 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 |
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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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- 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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| 1.5005 | 1.29 | 1000 | 1.7517 | 84.8861 | |
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| 0.8752 | 2.59 | 2000 | 1.2958 | 68.8688 | |
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| 0.4382 | 3.88 | 3000 | 1.1835 | 60.4152 | |
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| 0.0694 | 5.17 | 4000 | 1.1659 | 55.8442 | |
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| 0.0091 | 6.47 | 5000 | 1.0765 | 51.3189 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.9.0+cu102 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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