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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: 22.163827473722364 |
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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: 0.4702 |
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- Wer: 22.1638 |
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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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| 0.1618 | 0.05 | 500 | 0.3787 | 28.9235 | |
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| 0.0583 | 1.05 | 1000 | 0.3732 | 25.7702 | |
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| 0.0382 | 2.05 | 1500 | 0.4001 | 25.4621 | |
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| 0.0316 | 3.05 | 2000 | 0.4081 | 24.7010 | |
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| 0.0169 | 4.05 | 2500 | 0.4325 | 24.1935 | |
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| 0.0153 | 5.05 | 3000 | 0.4325 | 33.4179 | |
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| 0.0074 | 6.05 | 3500 | 0.4367 | 23.9398 | |
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| 0.0096 | 7.05 | 4000 | 0.4390 | 23.3055 | |
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| 0.0054 | 8.05 | 4500 | 0.4441 | 23.7042 | |
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| 0.0032 | 9.04 | 5000 | 0.4493 | 23.2693 | |
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| 0.004 | 10.04 | 5500 | 0.4524 | 23.3418 | |
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| 0.0048 | 11.04 | 6000 | 0.4498 | 23.7224 | |
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| 0.001 | 12.04 | 6500 | 0.4577 | 22.8887 | |
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| 0.0002 | 13.04 | 7000 | 0.4577 | 22.0913 | |
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| 0.0001 | 14.04 | 7500 | 0.4616 | 22.1276 | |
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| 0.0001 | 15.04 | 8000 | 0.4639 | 22.2726 | |
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| 0.0001 | 16.04 | 8500 | 0.4662 | 22.1095 | |
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| 0.0001 | 17.04 | 9000 | 0.4684 | 22.1457 | |
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| 0.0001 | 18.04 | 9500 | 0.4697 | 22.1457 | |
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| 0.0001 | 19.04 | 10000 | 0.4702 | 22.1638 | |
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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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