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: 0.1159
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- - Wer: 0.2433
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  ## Model description
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@@ -54,18 +52,18 @@ The following hyperparameters were used during training:
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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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- | 23.989 | 1.0 | 625 | 0.1408 | 0.4111 |
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- | 10.8455 | 2.0 | 1250 | 0.1308 | 0.3034 |
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- | 7.0018 | 3.0 | 1875 | 0.1231 | 0.2915 |
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- | 4.7488 | 4.0 | 2500 | 0.1212 | 0.2639 |
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- | 3.8382 | 5.0 | 3125 | 0.1199 | 0.2567 |
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- | 2.888 | 6.0 | 3750 | 0.1163 | 0.2356 |
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- | 2.7227 | 7.0 | 4375 | 0.1131 | 0.2383 |
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- | 2.408 | 8.0 | 5000 | 0.1131 | 0.2381 |
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- | 2.2494 | 9.0 | 5625 | 0.1121 | 0.2305 |
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- | 2.1365 | 10.0 | 6250 | 0.1124 | 0.2396 |
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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_samples
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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_samples
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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_samples
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+ This model is a fine-tuned version of [Baselhany/Distilation_Whisper_base_bigger_samples](https://huggingface.co/Baselhany/Distilation_Whisper_base_bigger_samples) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1012
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+ - Wer: 0.2172
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  ## Model description
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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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+ | 5.0409 | 1.0 | 779 | 0.1123 | 0.2352 |
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+ | 3.6049 | 2.0 | 1558 | 0.1124 | 0.2283 |
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+ | 2.9459 | 3.0 | 2337 | 0.1070 | 0.2162 |
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+ | 2.5604 | 4.0 | 3116 | 0.1040 | 0.2219 |
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+ | 2.1595 | 5.0 | 3895 | 0.1031 | 0.2151 |
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+ | 1.8248 | 6.0 | 4674 | 0.1014 | 0.2129 |
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+ | 1.634 | 7.0 | 5453 | 0.1004 | 0.2126 |
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+ | 1.4769 | 8.0 | 6232 | 0.0976 | 0.2076 |
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+ | 1.3527 | 9.0 | 7011 | 0.0972 | 0.2087 |
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+ | 1.3084 | 9.9881 | 7780 | 0.0975 | 0.2060 |
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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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- "input_ids": [
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- 50272
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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_01-22-42_06dbb5c66062/events.out.tfevents.1747992886.06dbb5c66062.19.1 ADDED
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