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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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- whisper-event |
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- generated_from_trainer |
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- hf-asr-leaderboard |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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- babelbox/babelbox_voice |
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- google/fleurs |
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model-index: |
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- name: Whisper Medium Swedish |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: mozilla-foundation/common_voice_11_0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: sv-SE |
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split: test |
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metrics: |
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- name: Wer |
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type: wer |
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value: 9.89 |
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--- |
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# Whisper Medium Swedish |
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This model is a fine-tuned version of [Whisper Medium Nordic](https://huggingface.co/marinone94/whisper-medium-nordic) on the [mozilla-foundation/common_voice_11_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) (train+validation), the [babelbox/babelbox_voice](https://huggingface.co/datasets/babelbox/babelbox_voice) (NST SV - train split) and the [google/fleurs](https://huggingface.co/datasets/google/fleurs) (sv_se - train+validation+test) datasets. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.2483 |
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- eval_wer: 9.8914 |
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- eval_runtime: 2924.8709 |
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- eval_samples_per_second: 1.733 |
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- eval_steps_per_second: 0.108 |
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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: 32 |
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- eval_batch_size: 16 |
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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: 250 |
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- training_steps: 5000 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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### WandB run |
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https://wandb.ai/pn-aa/whisper/runs/z2lzjx4x?workspace=user-emilio_marinone |
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