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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: 25.08155128669808 |
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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: 0.3314 |
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- Wer: 25.0816 |
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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: 5000 |
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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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| 0.3462 | 0.1 | 500 | 0.3721 | 29.9746 | |
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| 0.1205 | 1.1 | 1000 | 0.3286 | 26.4226 | |
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| 0.0642 | 2.1 | 1500 | 0.3139 | 25.2628 | |
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| 0.0443 | 3.1 | 2000 | 0.3169 | 25.0453 | |
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| 0.0356 | 4.1 | 2500 | 0.3226 | 25.0634 | |
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| 0.0321 | 5.09 | 3000 | 0.3237 | 24.7191 | |
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| 0.0317 | 6.09 | 3500 | 0.3322 | 24.7735 | |
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| 0.0347 | 7.09 | 4000 | 0.3355 | 25.0634 | |
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| 0.0357 | 8.09 | 4500 | 0.3364 | 25.2265 | |
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| 0.0318 | 9.09 | 5000 | 0.3314 | 25.0816 | |
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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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