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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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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 Sv |
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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: sv |
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split: test[:10%] |
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args: 'config: sv, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 19.76284584980237 |
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--- |
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# Whisper Small Swedish |
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This model is an adapted version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset in Swedish. |
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It achieves the following results on the evaluation set: |
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- Wer: 19.8166 |
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## Model description & uses |
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This model is the openai whisper small transformer adapted for Swedish audio to text transcription. |
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The model is available through its [HuggingFace web app](https://huggingface.co/spaces/torileatherman/whisper_small_sv) |
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## Training and evaluation data |
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Data used for training is the initial 10% of train and validation of [Swedish Common Voice](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0/viewer/sv/train) 11.0 from Mozilla Foundation. |
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The dataset used for evaluation is the initial 10% of test of Swedish Common Voice. |
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The training data has been augmented with random noise, random pitching and change of the speed of the voice. |
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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: 8 |
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- eval_batch_size: 8 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 4000 |
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- weight decay: 0 |
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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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| 0.1379 | 0.95 | 1000 | 0.295811 | 21.467| |
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| 0.0245 | 2.86 | 3000 | 0.300059 | 20.160 | |
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| 0.0060 | 3.82 | 4000 | 0.320301 | 19.762 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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