Baselhany commited on
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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: 0.1260
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- - Wer: 0.2865
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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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- | 78.8449 | 1.0 | 313 | 0.1892 | 0.7483 |
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- | 23.7046 | 2.0 | 626 | 0.1465 | 0.4188 |
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- | 13.1378 | 3.0 | 939 | 0.1347 | 0.3632 |
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- | 8.2072 | 4.0 | 1252 | 0.1312 | 0.3285 |
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- | 5.8166 | 5.0 | 1565 | 0.1316 | 0.2937 |
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- | 4.5461 | 6.0 | 1878 | 0.1339 | 0.2916 |
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- | 3.8785 | 7.0 | 2191 | 0.1276 | 0.2838 |
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- | 3.1975 | 8.0 | 2504 | 0.1253 | 0.2762 |
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- | 2.8784 | 9.0 | 2817 | 0.1240 | 0.2881 |
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- | 2.6303 | 10.0 | 3130 | 0.1238 | 0.2719 |
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- | 2.481 | 11.0 | 3443 | 0.1225 | 0.2670 |
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- | 2.2994 | 12.0 | 3756 | 0.1221 | 0.2641 |
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- | 2.0863 | 13.0 | 4069 | 0.1214 | 0.2672 |
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- | 2.0235 | 14.0 | 4382 | 0.1213 | 0.2638 |
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- | 2.015 | 14.9536 | 4680 | 0.1213 | 0.2626 |
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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_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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1146
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+ - Wer: 0.2395
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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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+ | 6.2283 | 1.0 | 313 | 0.1208 | 0.2747 |
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+ | 5.6174 | 2.0 | 626 | 0.1240 | 0.2641 |
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+ | 4.1014 | 3.0 | 939 | 0.1180 | 0.2639 |
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+ | 3.4699 | 4.0 | 1252 | 0.1206 | 0.2272 |
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+ | 2.8022 | 5.0 | 1565 | 0.1198 | 0.2375 |
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+ | 2.371 | 6.0 | 1878 | 0.1143 | 0.2325 |
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+ | 2.1677 | 7.0 | 2191 | 0.1143 | 0.2337 |
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+ | 1.9842 | 8.0 | 2504 | 0.1135 | 0.2305 |
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+ | 1.787 | 9.0 | 2817 | 0.1124 | 0.2352 |
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+ | 1.6133 | 10.0 | 3130 | 0.1123 | 0.2277 |
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+ | 1.5033 | 11.0 | 3443 | 0.1119 | 0.2283 |
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+ | 1.4237 | 12.0 | 3756 | 0.1115 | 0.2246 |
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+ | 1.3321 | 13.0 | 4069 | 0.1115 | 0.2247 |
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+ | 1.2518 | 14.0 | 4382 | 0.1113 | 0.2247 |
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+ | 1.2225 | 14.9536 | 4680 | 0.1112 | 0.2275 |
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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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