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End of training

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  1. README.md +69 -0
  2. generation_config.json +159 -0
  3. model.safetensors +1 -1
README.md ADDED
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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: YazanSalameh/Whisper-base-Arabic
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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-Tashkeel-Dev - AzeemX
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+ results: []
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+ ---
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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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+
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+ # Whisper-Base-Ar-Tashkeel-Dev - AzeemX
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+
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+ This model is a fine-tuned version of [YazanSalameh/Whisper-base-Arabic](https://huggingface.co/YazanSalameh/Whisper-base-Arabic) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0941
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+ - Wer: 85.6472
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 16
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - training_steps: 5000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 0.1844 | 1.0323 | 1000 | 0.1771 | 99.3469 |
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+ | 0.0986 | 2.0645 | 2000 | 0.1315 | 95.5247 |
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+ | 0.0572 | 3.0968 | 3000 | 0.1108 | 87.4914 |
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+ | 0.0355 | 4.1290 | 4000 | 0.0985 | 85.2242 |
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+ | 0.0323 | 5.1613 | 5000 | 0.0941 | 85.6472 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.2
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+ - Pytorch 2.3.1
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
generation_config.json ADDED
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