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--- |
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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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datasets: |
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- data/copas |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small dysarthric Dutch |
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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: data/copas copas-full |
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type: data/copas |
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config: copas-full |
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split: test |
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args: copas-full |
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metrics: |
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- name: Wer |
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type: wer |
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value: 22.87060529177238 |
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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 dysarthric Dutch |
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This model is a fine-tuned version of [qmeeus/whisper-small-nl](https://huggingface.co/qmeeus/whisper-small-nl) on the data/copas copas-full dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4891 |
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- Wer: 22.8706 |
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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: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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: 10000 |
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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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| 0.1493 | 2.02 | 500 | 0.3960 | 28.9779 | |
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| 0.0383 | 5.02 | 1000 | 0.4041 | 26.5132 | |
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| 0.0264 | 8.01 | 1500 | 0.4274 | 25.5890 | |
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| 0.0155 | 11.01 | 2000 | 0.4437 | 24.7735 | |
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| 0.0041 | 14.01 | 2500 | 0.4454 | 25.0453 | |
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| 0.0044 | 17.01 | 3000 | 0.4444 | 23.9761 | |
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| 0.0044 | 20.01 | 3500 | 0.4394 | 23.4868 | |
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| 0.0022 | 23.01 | 4000 | 0.4415 | 22.8525 | |
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| 0.0034 | 26.01 | 4500 | 0.4602 | 23.6499 | |
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| 0.0027 | 29.01 | 5000 | 0.4577 | 23.3780 | |
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| 0.0072 | 32.01 | 5500 | 0.4573 | 23.3962 | |
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| 0.0002 | 35.01 | 6000 | 0.4673 | 23.1062 | |
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| 0.0001 | 38.01 | 6500 | 0.4723 | 22.9975 | |
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| 0.0001 | 41.01 | 7000 | 0.4770 | 23.0881 | |
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| 0.0 | 44.01 | 7500 | 0.4807 | 23.0518 | |
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| 0.0 | 47.01 | 8000 | 0.4835 | 22.9612 | |
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| 0.0 | 50.01 | 8500 | 0.4857 | 22.9250 | |
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| 0.0 | 53.0 | 9000 | 0.4874 | 22.9069 | |
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| 0.0 | 56.0 | 9500 | 0.4887 | 22.9069 | |
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| 0.0 | 59.0 | 10000 | 0.4891 | 22.8706 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.12.1+cu116 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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