Model save
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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 Loss | Epoch | Step | Validation Loss | Wer |
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### Framework versions
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- Transformers 4.51.
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- Pytorch 2.
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- Datasets 3.
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- Tokenizers 0.21.
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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_Distilation_Whisper_base3
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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_Distilation_Whisper_base3
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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_Distilation_Whisper_base3
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This model is a fine-tuned version of [Baselhany/Graduation_Project_Distilation_Whisper_base3](https://huggingface.co/Baselhany/Graduation_Project_Distilation_Whisper_base3) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0917
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- Wer: 0.1973
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-------:|:----:|:---------------:|:------:|
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| 1.9509 | 1.0 | 469 | 0.0928 | 0.1966 |
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| 1.9061 | 2.0 | 938 | 0.0938 | 0.1901 |
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| 1.4524 | 3.0 | 1407 | 0.0919 | 0.1916 |
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| 1.3809 | 4.0 | 1876 | 0.0914 | 0.1951 |
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| 1.1397 | 5.0 | 2345 | 0.0906 | 0.1969 |
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| 1.0984 | 6.0 | 2814 | 0.0895 | 0.1897 |
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| 1.0229 | 7.0 | 3283 | 0.0892 | 0.1939 |
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| 0.898 | 8.0 | 3752 | 0.0879 | 0.1969 |
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| 0.8656 | 9.0 | 4221 | 0.0884 | 0.1886 |
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| 0.7982 | 10.0 | 4690 | 0.0866 | 0.1929 |
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| 0.7736 | 11.0 | 5159 | 0.0874 | 0.1933 |
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| 0.7155 | 12.0 | 5628 | 0.0871 | 0.1967 |
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| 0.6907 | 13.0 | 6097 | 0.0870 | 0.1911 |
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| 0.6405 | 14.0 | 6566 | 0.0867 | 0.1894 |
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| 0.6369 | 14.9685 | 7020 | 0.0868 | 0.1886 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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generation_config.json
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"tie_word_embeddings": true,
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"tokenizer_class": null,
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"torchscript": false,
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"transformers_version": "4.51.
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"use_bfloat16": false,
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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"tie_word_embeddings": true,
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"tokenizer_class": null,
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"torchscript": false,
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"transformers_version": "4.51.3",
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"use_bfloat16": false,
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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model.safetensors
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runs/Jun12_21-07-13_9dde9cac7102/events.out.tfevents.1749789513.9dde9cac7102.19.1
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