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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: 24.555998550199348 |
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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: 0.4242 |
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- Wer: 24.5560 |
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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: 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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| 0.3363 | 2.02 | 500 | 0.3762 | 29.7934 | |
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| 0.0945 | 5.02 | 1000 | 0.3418 | 27.6912 | |
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| 0.0332 | 8.01 | 1500 | 0.3353 | 26.1689 | |
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| 0.0147 | 11.01 | 2000 | 0.3476 | 26.1327 | |
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| 0.0071 | 14.01 | 2500 | 0.3623 | 25.9333 | |
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| 0.0034 | 17.01 | 3000 | 0.3789 | 25.2084 | |
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| 0.0024 | 20.01 | 3500 | 0.3827 | 24.8641 | |
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| 0.0026 | 23.01 | 4000 | 0.3877 | 25.3171 | |
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| 0.0021 | 26.01 | 4500 | 0.3933 | 25.4259 | |
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| 0.0014 | 29.01 | 5000 | 0.3941 | 25.0997 | |
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| 0.0008 | 32.01 | 5500 | 0.4014 | 25.0997 | |
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| 0.0004 | 35.01 | 6000 | 0.4035 | 24.8278 | |
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| 0.0003 | 38.01 | 6500 | 0.4080 | 24.9184 | |
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| 0.0003 | 41.01 | 7000 | 0.4120 | 24.8097 | |
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| 0.0002 | 44.01 | 7500 | 0.4151 | 24.6104 | |
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| 0.0002 | 47.01 | 8000 | 0.4176 | 24.3929 | |
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| 0.0002 | 50.01 | 8500 | 0.4200 | 24.5198 | |
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| 0.0001 | 53.0 | 9000 | 0.4230 | 24.5198 | |
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| 0.0001 | 56.0 | 9500 | 0.4252 | 24.4291 | |
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| 0.0001 | 59.0 | 10000 | 0.4242 | 24.5560 | |
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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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