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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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metrics: |
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- wer |
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model-index: |
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- name: whisper-tiny-minds-v1 |
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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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# whisper-tiny-minds-v1 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7887 |
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- Wer Ortho: 0.4046 |
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- Wer: 0.3804 |
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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: 2000 |
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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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| 1.7167 | 3.57 | 100 | 1.3603 | 0.5324 | 0.4132 | |
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| 0.3753 | 7.14 | 200 | 0.5665 | 0.4695 | 0.3894 | |
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| 0.1274 | 10.71 | 300 | 0.5589 | 0.4626 | 0.3912 | |
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| 0.0207 | 14.29 | 400 | 0.6216 | 0.4327 | 0.3834 | |
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| 0.0045 | 17.86 | 500 | 0.6684 | 0.4121 | 0.3697 | |
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| 0.0017 | 21.43 | 600 | 0.7018 | 0.4171 | 0.3792 | |
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| 0.0009 | 25.0 | 700 | 0.7218 | 0.4239 | 0.3876 | |
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| 0.0007 | 28.57 | 800 | 0.7272 | 0.4102 | 0.3781 | |
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| 0.0005 | 32.14 | 900 | 0.7427 | 0.4077 | 0.3787 | |
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| 0.0004 | 35.71 | 1000 | 0.7512 | 0.4077 | 0.3787 | |
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| 0.0004 | 39.29 | 1100 | 0.7573 | 0.4034 | 0.3757 | |
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| 0.0003 | 42.86 | 1200 | 0.7650 | 0.4027 | 0.3751 | |
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| 0.0003 | 46.43 | 1300 | 0.7714 | 0.4059 | 0.3769 | |
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| 0.0002 | 50.0 | 1400 | 0.7759 | 0.4052 | 0.3775 | |
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| 0.0002 | 53.57 | 1500 | 0.7796 | 0.4077 | 0.3798 | |
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| 0.0002 | 57.14 | 1600 | 0.7831 | 0.4046 | 0.3798 | |
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| 0.0002 | 60.71 | 1700 | 0.7858 | 0.4040 | 0.3792 | |
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| 0.0002 | 64.29 | 1800 | 0.7873 | 0.4040 | 0.3792 | |
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| 0.0002 | 67.86 | 1900 | 0.7883 | 0.4034 | 0.3792 | |
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| 0.0002 | 71.43 | 2000 | 0.7887 | 0.4046 | 0.3804 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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