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--- |
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license: apache-2.0 |
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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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metrics: |
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- wer |
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model-index: |
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- name: names-whisper-en-spectrogram-new-method |
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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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# names-whisper-en-spectrogram-new-method |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0374 |
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- Ner percent: 98.7838 |
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- Wer: 0.8407 |
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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: 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: 5000 |
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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 | Ner percent | Wer | |
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|:-------------:|:-------:|:----:|:---------------:|:-----------:|:------:| |
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| 0.0039 | 5.0505 | 1000 | 0.0352 | 97.8378 | 1.1843 | |
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| 0.0005 | 10.1010 | 2000 | 0.0350 | 98.9189 | 0.8674 | |
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| 0.0003 | 15.1515 | 3000 | 0.0361 | 98.7838 | 0.8340 | |
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| 0.0002 | 20.2020 | 4000 | 0.0370 | 98.7838 | 0.8373 | |
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| 0.0002 | 25.2525 | 5000 | 0.0374 | 98.7838 | 0.8407 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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