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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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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: openai/whisper-small |
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datasets: |
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- rmacek/ORF-whisper-small |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper ORF Bundeslaender |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: ZIB2 Common Voice |
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type: rmacek/ORF-whisper-small |
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args: 'config: de, split: test' |
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metrics: |
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- type: wer |
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value: 29.46806728721495 |
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name: Wer |
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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 ORF Bundeslaender |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ZIB2 Common Voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7149 |
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- Wer: 29.4681 |
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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: 16 |
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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: 500 |
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- training_steps: 8000 |
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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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| 0.5717 | 1.7153 | 1000 | 0.6098 | 35.2851 | |
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| 0.41 | 3.4305 | 2000 | 0.6053 | 32.7056 | |
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| 0.386 | 5.1458 | 3000 | 0.6148 | 26.9699 | |
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| 0.3123 | 6.8611 | 4000 | 0.6345 | 26.4842 | |
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| 0.2183 | 8.5763 | 5000 | 0.6622 | 28.1329 | |
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| 0.2231 | 10.2916 | 6000 | 0.6901 | 28.5253 | |
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| 0.2259 | 12.0069 | 7000 | 0.7028 | 27.4413 | |
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| 0.1708 | 13.7221 | 8000 | 0.7149 | 29.4681 | |
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### Framework versions |
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- PEFT 0.10.1.dev0 |
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- Transformers 4.40.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
