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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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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium Danish (Common Voice Corpus 11.0) |
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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: mozilla-foundation/common_voice_11_0 da |
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type: mozilla-foundation/common_voice_11_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: 16.13361388742767 |
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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 Medium Danish (Common Voice Corpus 11.0) |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0 da dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5081 |
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- Wer: 16.1336 |
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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: 16 |
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- seed: 42 |
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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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| 0.0229 | 7.01 | 1000 | 0.4464 | 16.5124 | |
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| 0.0072 | 15.0 | 2000 | 0.5081 | 16.1336 | |
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| 0.0048 | 22.01 | 3000 | 0.5193 | 16.6597 | |
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| 0.0034 | 30.0 | 4000 | 0.5715 | 16.8964 | |
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| 0.0005 | 37.01 | 5000 | 0.5998 | 16.4440 | |
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| 0.0007 | 45.01 | 6000 | 0.5908 | 16.8017 | |
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| 0.0001 | 53.0 | 7000 | 0.6093 | 16.2336 | |
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| 0.0001 | 60.01 | 8000 | 0.6405 | 16.3335 | |
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| 0.0 | 68.0 | 9000 | 0.6524 | 16.2493 | |
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| 0.0 | 75.01 | 10000 | 0.6569 | 16.2283 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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