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Baselhany
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Distilation_Whisper_base_CKP

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Model card Files
xet
 Metrics Community
Baselhany commited on
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  1. README.md +14 -9
  2. runs/Jun06_14-43-20_05fb0880562f/events.out.tfevents.1749246189.05fb0880562f.19.1 +3 -0
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: 0.0861
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- - Wer: 0.1941
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  ## Model description
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@@ -49,7 +47,7 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 22
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  - mixed_precision_training: Native AMP
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  ### Training results
@@ -93,6 +91,13 @@ The following hyperparameters were used during training:
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  | 0.6865 | 20.5038 | 35000 | 0.0835 | 0.1844 |
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  | 0.6927 | 21.0896 | 36000 | 0.0834 | 0.1882 |
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  | 0.7014 | 21.6755 | 37000 | 0.0835 | 0.1861 |
 
 
 
 
 
 
 
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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_CKP
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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_CKP
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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_CKP
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+ This model is a fine-tuned version of [Baselhany/Distilation_Whisper_base_CKP](https://huggingface.co/Baselhany/Distilation_Whisper_base_CKP) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0849
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+ - Wer: 0.1950
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  ## Model description
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 26
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  | 0.6865 | 20.5038 | 35000 | 0.0835 | 0.1844 |
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  | 0.6927 | 21.0896 | 36000 | 0.0834 | 0.1882 |
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  | 0.7014 | 21.6755 | 37000 | 0.0835 | 0.1861 |
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+ | 0.6951 | 22.2613 | 38000 | 0.0833 | 0.1874 |
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+ | 0.6848 | 22.8471 | 39000 | 0.0834 | 0.1927 |
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+ | 0.7096 | 23.4329 | 40000 | 0.0834 | 0.1936 |
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+ | 0.6952 | 24.0187 | 41000 | 0.0835 | 0.1933 |
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+ | 0.692 | 24.6046 | 42000 | 0.0833 | 0.1930 |
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+ | 0.6552 | 25.1904 | 43000 | 0.0831 | 0.1867 |
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+ | 0.6641 | 25.7762 | 44000 | 0.0832 | 0.1874 |
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  ### Framework versions
runs/Jun06_14-43-20_05fb0880562f/events.out.tfevents.1749246189.05fb0880562f.19.1 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:90f1360337602e81de962d7ab74723bba5a21636701743248560f73041723535
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+ size 412