Baselhany commited on
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0166048
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Model save

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README.md CHANGED
@@ -1,27 +1,25 @@
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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: openai/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: Whisper base AR - BA
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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 base AR - BA
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- This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the quran-ayat-speech-to-text dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1423
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- - Wer: 0.4671
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  ## Model description
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@@ -56,21 +54,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:------:|
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- | 50.046 | 1.0 | 469 | 0.1557 | 0.5936 |
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- | 14.5095 | 2.0 | 938 | 0.1451 | 0.4789 |
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- | 7.9218 | 3.0 | 1407 | 0.1457 | 0.4676 |
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- | 5.2637 | 4.0 | 1876 | 0.1451 | 0.4367 |
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- | 4.0077 | 5.0 | 2345 | 0.1449 | 0.4478 |
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- | 2.8467 | 6.0 | 2814 | 0.1424 | 0.4400 |
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- | 2.3483 | 7.0 | 3283 | 0.1336 | 0.4219 |
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- | 1.9948 | 8.0 | 3752 | 0.1343 | 0.4472 |
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- | 1.7564 | 9.0 | 4221 | 0.1313 | 0.4217 |
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- | 1.6001 | 10.0 | 4690 | 0.1324 | 0.4345 |
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- | 1.4008 | 11.0 | 5159 | 0.1300 | 0.4190 |
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- | 1.283 | 12.0 | 5628 | 0.1300 | 0.4360 |
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- | 1.1674 | 13.0 | 6097 | 0.1299 | 0.4260 |
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- | 1.0709 | 14.0 | 6566 | 0.1293 | 0.4172 |
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- | 0.9897 | 14.9685 | 7020 | 0.1288 | 0.4413 |
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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_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: 0.1257
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+ - Wer: 0.3013
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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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+ | 6.5463 | 1.0 | 469 | 0.1230 | 0.3954 |
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+ | 5.2743 | 2.0 | 938 | 0.1311 | 0.3571 |
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+ | 3.5152 | 3.0 | 1407 | 0.1228 | 0.3684 |
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+ | 2.7744 | 4.0 | 1876 | 0.1212 | 0.3571 |
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+ | 2.2344 | 5.0 | 2345 | 0.1207 | 0.3227 |
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+ | 1.8514 | 6.0 | 2814 | 0.1217 | 0.3179 |
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+ | 1.6307 | 7.0 | 3283 | 0.1182 | 0.3561 |
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+ | 1.35 | 8.0 | 3752 | 0.1187 | 0.2904 |
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+ | 1.3541 | 9.0 | 4221 | 0.1135 | 0.2999 |
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+ | 1.2367 | 10.0 | 4690 | 0.1148 | 0.2886 |
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+ | 1.1444 | 11.0 | 5159 | 0.1147 | 0.3009 |
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+ | 0.9895 | 12.0 | 5628 | 0.1139 | 0.2882 |
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+ | 0.9394 | 13.0 | 6097 | 0.1126 | 0.3167 |
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+ | 0.9161 | 14.0 | 6566 | 0.1125 | 0.2967 |
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+ | 0.8473 | 14.9685 | 7020 | 0.1130 | 0.2929 |
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  ### Framework versions
generation_config.json CHANGED
@@ -65,20 +65,7 @@
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  "1": "LABEL_1"
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  },
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  "init_std": 0.02,
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  "is_decoder": false,
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  "is_encoder_decoder": true,
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  "is_multilingual": true,
 
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  "1": "LABEL_1"
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  },
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  "init_std": 0.02,
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  "is_decoder": false,
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  "is_encoder_decoder": true,
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