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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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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: results |
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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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# results |
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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: 0.0893 |
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- Wer: 0.0991 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 20 |
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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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| 0.9767 | 1.0 | 7 | 0.4806 | 0.2243 | |
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| 0.3635 | 2.0 | 14 | 0.2216 | 0.1310 | |
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| 0.1596 | 3.0 | 21 | 0.1460 | 0.1016 | |
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| 0.076 | 4.0 | 28 | 0.1198 | 0.0915 | |
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| 0.0405 | 5.0 | 35 | 0.1142 | 0.0906 | |
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| 0.0262 | 6.0 | 42 | 0.1034 | 0.0901 | |
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| 0.0151 | 7.0 | 49 | 0.0965 | 0.1019 | |
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| 0.0083 | 8.0 | 56 | 0.0924 | 0.0963 | |
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| 0.0043 | 9.0 | 63 | 0.0899 | 0.0991 | |
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| 0.0023 | 10.0 | 70 | 0.0902 | 0.1019 | |
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| 0.0014 | 11.0 | 77 | 0.0924 | 0.1046 | |
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| 0.0012 | 12.0 | 84 | 0.0923 | 0.1040 | |
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| 0.0009 | 13.0 | 91 | 0.0915 | 0.1040 | |
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| 0.0008 | 14.0 | 98 | 0.0907 | 0.1040 | |
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| 0.0007 | 15.0 | 105 | 0.0904 | 0.0957 | |
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| 0.0007 | 16.0 | 112 | 0.0888 | 0.0957 | |
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| 0.0006 | 17.0 | 119 | 0.0900 | 0.0957 | |
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| 0.0006 | 18.0 | 126 | 0.0895 | 0.0957 | |
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| 0.0005 | 19.0 | 133 | 0.0894 | 0.0991 | |
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| 0.0006 | 20.0 | 140 | 0.0893 | 0.0991 | |
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### Framework versions |
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- Transformers 4.50.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.4.1 |
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- Tokenizers 0.21.0 |
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