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--- |
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language: |
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- dk |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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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 dk |
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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: da |
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split: test |
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args: 'config: dk, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 29.494396801178514 |
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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 dk |
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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: 0.6207 |
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- Wer: 29.4944 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 200 |
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- training_steps: 2000 |
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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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| 0.4214 | 1.37 | 200 | 0.5155 | 32.5933 | |
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| 0.1758 | 2.75 | 400 | 0.4674 | 29.5260 | |
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| 0.0591 | 4.12 | 600 | 0.5032 | 30.5361 | |
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| 0.0258 | 5.5 | 800 | 0.5336 | 30.0573 | |
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| 0.017 | 6.87 | 1000 | 0.5676 | 29.2419 | |
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| 0.0067 | 8.25 | 1200 | 0.5738 | 29.1209 | |
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| 0.0046 | 9.62 | 1400 | 0.5981 | 29.2839 | |
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| 0.0027 | 11.0 | 1600 | 0.6114 | 29.4418 | |
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| 0.0021 | 12.37 | 1800 | 0.6184 | 29.4155 | |
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| 0.002 | 13.75 | 2000 | 0.6207 | 29.4944 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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