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README.md
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---
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library_name: transformers
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language:
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- ar
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license: apache-2.0
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base_model:
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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:
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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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#
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.
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## Model description
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### Training results
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| Training Loss | Epoch
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### Framework versions
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library_name: transformers
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license: apache-2.0
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base_model: Baselhany/Graduation_Project_distillation_Whisper_base
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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: Graduation_Project_distillation_Whisper_base
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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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# Graduation_Project_distillation_Whisper_base
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This model is a fine-tuned version of [Baselhany/Graduation_Project_distillation_Whisper_base](https://huggingface.co/Baselhany/Graduation_Project_distillation_Whisper_base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0041
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- Wer: 0.0609
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## Model description
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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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| 2.6359 | 1.0 | 469 | 0.0058 | 0.0668 |
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| 1.9946 | 2.0 | 938 | 0.0061 | 0.0689 |
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| 1.6395 | 3.0 | 1407 | 0.0057 | 0.0649 |
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| 1.4336 | 4.0 | 1876 | 0.0056 | 0.0656 |
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| 1.2021 | 5.0 | 2345 | 0.0054 | 0.0624 |
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| 1.1073 | 6.0 | 2814 | 0.0056 | 0.0628 |
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| 0.991 | 7.0 | 3283 | 0.0055 | 0.0621 |
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| 0.889 | 8.0 | 3752 | 0.0054 | 0.0636 |
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| 0.84 | 9.0 | 4221 | 0.0056 | 0.0658 |
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| 0.7742 | 10.0 | 4690 | 0.0055 | 0.0636 |
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| 0.688 | 11.0 | 5159 | 0.0055 | 0.0645 |
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| 0.6349 | 12.0 | 5628 | 0.0054 | 0.0639 |
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| 0.5932 | 13.0 | 6097 | 0.0054 | 0.0647 |
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| 0.5378 | 14.0 | 6566 | 0.0055 | 0.0649 |
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| 0.5533 | 14.9685 | 7020 | 0.0054 | 0.0641 |
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### Framework versions
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model.safetensors
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