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--- |
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language: |
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- de |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: openai/whisper-small |
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results: [] |
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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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# openai/whisper-small |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Hanhpt23/GermanMed-full dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6821 |
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- Wer: 26.4630 |
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- Cer: 15.4774 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 100 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 0.5026 | 1.0 | 194 | 0.5290 | 29.2811 | 19.4792 | |
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| 0.2354 | 2.0 | 388 | 0.5282 | 34.3515 | 22.4451 | |
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| 0.1144 | 3.0 | 582 | 0.5396 | 32.5825 | 21.4992 | |
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| 0.073 | 4.0 | 776 | 0.5676 | 32.2226 | 22.5456 | |
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| 0.0465 | 5.0 | 970 | 0.6049 | 26.3499 | 16.4094 | |
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| 0.0375 | 6.0 | 1164 | 0.6197 | 33.1791 | 21.1216 | |
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| 0.0213 | 7.0 | 1358 | 0.6250 | 30.1759 | 20.1462 | |
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| 0.0229 | 8.0 | 1552 | 0.6453 | 31.4718 | 19.4914 | |
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| 0.0118 | 9.0 | 1746 | 0.6510 | 23.1924 | 14.5627 | |
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| 0.0138 | 10.0 | 1940 | 0.6604 | 27.9235 | 17.4974 | |
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| 0.0081 | 11.0 | 2134 | 0.6546 | 26.3705 | 16.3176 | |
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| 0.0029 | 12.0 | 2328 | 0.6527 | 25.3625 | 15.1725 | |
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| 0.0028 | 13.0 | 2522 | 0.6712 | 22.6473 | 14.5384 | |
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| 0.0003 | 14.0 | 2716 | 0.6743 | 30.7004 | 18.0015 | |
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| 0.0002 | 15.0 | 2910 | 0.6752 | 27.2035 | 16.0248 | |
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| 0.0001 | 16.0 | 3104 | 0.6787 | 24.8277 | 15.1292 | |
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| 0.0001 | 17.0 | 3298 | 0.6803 | 26.6893 | 15.6541 | |
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| 0.0001 | 18.0 | 3492 | 0.6813 | 26.5864 | 15.6021 | |
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| 0.0001 | 19.0 | 3686 | 0.6819 | 26.4836 | 15.4964 | |
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| 0.0001 | 20.0 | 3880 | 0.6821 | 26.4630 | 15.4774 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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