Baselhany commited on
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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: 0.1315
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- - Wer: 0.3034
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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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- | 1243.1483 | 1.0 | 157 | 0.2708 | 1.0528 |
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- | 61.6092 | 2.0 | 314 | 0.1723 | 0.6490 |
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- | 32.3819 | 3.0 | 471 | 0.1496 | 0.4943 |
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- | 14.9798 | 4.0 | 628 | 0.1389 | 0.3908 |
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- | 10.9898 | 5.0 | 785 | 0.1385 | 0.3569 |
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- | 6.9766 | 6.0 | 942 | 0.1362 | 0.3239 |
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- | 5.8893 | 7.0 | 1099 | 0.1359 | 0.3176 |
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- | 4.4691 | 8.0 | 1256 | 0.1313 | 0.3050 |
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- | 3.9368 | 9.0 | 1413 | 0.1310 | 0.3077 |
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- | 3.4552 | 10.0 | 1570 | 0.1282 | 0.2896 |
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- | 3.2193 | 11.0 | 1727 | 0.1281 | 0.2922 |
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- | 2.991 | 12.0 | 1884 | 0.1267 | 0.2829 |
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- | 2.7838 | 13.0 | 2041 | 0.1268 | 0.2955 |
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- | 2.7073 | 14.0 | 2198 | 0.1269 | 0.2806 |
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- | 2.5728 | 14.9088 | 2340 | 0.1266 | 0.2875 |
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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/Distilation_Whisper_base_bigger_batch_size
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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: Distilation_Whisper_base_bigger_batch_size
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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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+ # Distilation_Whisper_base_bigger_batch_size
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+ This model is a fine-tuned version of [Baselhany/Distilation_Whisper_base_bigger_batch_size](https://huggingface.co/Baselhany/Distilation_Whisper_base_bigger_batch_size) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1185
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+ - Wer: 0.2529
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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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+ | 7.591 | 1.0 | 188 | 0.1236 | 0.2903 |
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+ | 6.3942 | 2.0 | 376 | 0.1248 | 0.2700 |
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+ | 5.1675 | 3.0 | 564 | 0.1272 | 0.3061 |
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+ | 4.1369 | 4.0 | 752 | 0.1242 | 0.2557 |
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+ | 3.42 | 5.0 | 940 | 0.1199 | 0.2605 |
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+ | 2.9304 | 6.0 | 1128 | 0.1201 | 0.2437 |
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+ | 2.6141 | 7.0 | 1316 | 0.1195 | 0.2443 |
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+ | 2.2745 | 8.0 | 1504 | 0.1177 | 0.2448 |
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+ | 2.1319 | 9.0 | 1692 | 0.1173 | 0.2402 |
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+ | 1.9556 | 10.0 | 1880 | 0.1174 | 0.2530 |
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+ | 1.7922 | 11.0 | 2068 | 0.1165 | 0.2373 |
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+ | 1.7604 | 12.0 | 2256 | 0.1164 | 0.2340 |
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+ | 1.6353 | 13.0 | 2444 | 0.1151 | 0.2340 |
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+ | 1.5943 | 14.0 | 2632 | 0.1150 | 0.2336 |
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+ | 1.5228 | 14.9227 | 2805 | 0.1151 | 0.2333 |
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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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+ "input_ids": null,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "is_decoder": false,
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  "is_encoder_decoder": true,
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  "is_multilingual": true,
runs/May23_01-38-18_03b013aba569/events.out.tfevents.1748001793.03b013aba569.18.1 ADDED
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