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--- |
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language: |
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- da |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_13_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Da - WasuratS |
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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 13 |
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type: mozilla-foundation/common_voice_13_0 |
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config: da |
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split: test |
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args: da |
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metrics: |
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- name: Wer |
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type: wer |
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value: 23.39882224190943 |
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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 Da - WasuratS |
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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 13 dataset on Danish language |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6393 |
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- Wer Ortho: 29.0926 |
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- Wer: 23.3988 |
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## Model description |
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[openai/whisper-small](https://huggingface.co/openai/whisper-small) |
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## Training and evaluation data |
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[mozilla-foundation/common_voice_13_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0) |
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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: 16 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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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: 50 |
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- training_steps: 4000 |
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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 Ortho | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| |
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| 0.218 | 1.61 | 500 | 0.4724 | 30.2496 | 24.7069 | |
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| 0.0628 | 3.22 | 1000 | 0.4825 | 28.8946 | 23.3154 | |
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| 0.0289 | 4.82 | 1500 | 0.5311 | 29.3376 | 23.4666 | |
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| 0.0078 | 6.43 | 2000 | 0.5740 | 29.4627 | 23.6542 | |
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| 0.0032 | 8.04 | 2500 | 0.6070 | 29.0613 | 23.2790 | |
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| 0.0025 | 9.65 | 3000 | 0.6274 | 29.1187 | 23.4770 | |
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| 0.0012 | 11.25 | 3500 | 0.6335 | 29.0978 | 23.3623 | |
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| 0.0011 | 12.86 | 4000 | 0.6393 | 29.0926 | 23.3988 | |
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### Framework versions |
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- Transformers 4.29.2 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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