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README.md
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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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- 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: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch
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### Framework versions
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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: Baselhany/Graduation_Project_distillation_Whisper_base2
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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_base2
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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_base2
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This model is a fine-tuned version of [Baselhany/Graduation_Project_distillation_Whisper_base2](https://huggingface.co/Baselhany/Graduation_Project_distillation_Whisper_base2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0746
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- Wer: 0.2358
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## Model description
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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: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 15
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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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| 0.397 | 1.0 | 469 | 0.0686 | 0.2067 |
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| 0.3526 | 2.0 | 938 | 0.0674 | 0.2345 |
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| 0.3181 | 3.0 | 1407 | 0.0711 | 0.2225 |
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| 0.2689 | 4.0 | 1876 | 0.0724 | 0.2273 |
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| 0.2044 | 5.0 | 2345 | 0.0687 | 0.2366 |
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| 0.184 | 6.0 | 2814 | 0.0676 | 0.2165 |
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| 0.1404 | 7.0 | 3283 | 0.0673 | 0.2230 |
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| 0.1461 | 8.0 | 3752 | 0.0657 | 0.2049 |
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| 0.1269 | 9.0 | 4221 | 0.0662 | 0.2055 |
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| 0.1089 | 10.0 | 4690 | 0.0668 | 0.2070 |
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| 0.0835 | 11.0 | 5159 | 0.0639 | 0.2049 |
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| 0.0693 | 12.0 | 5628 | 0.0656 | 0.2152 |
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| 0.054 | 13.0 | 6097 | 0.0654 | 0.2160 |
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| 0.0419 | 14.0 | 6566 | 0.0662 | 0.2029 |
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| 0.0342 | 14.9685 | 7020 | 0.0668 | 0.2180 |
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### Framework versions
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model.safetensors
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