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End of training

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  1. README.md +80 -0
  2. generation_config.json +226 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ language:
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+ - ar
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+ license: mit
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+ base_model: distil-whisper/distil-large-v2
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - nadsoft/Jordan-Audio
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Hamsa distill alfa
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: nadsoft/Jordan-Audio
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+ type: nadsoft/Jordan-Audio
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 45.223367697594504
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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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+ # Hamsa distill alfa
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+
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+ This model is a fine-tuned version of [distil-whisper/distil-large-v2](https://huggingface.co/distil-whisper/distil-large-v2) on the nadsoft/Jordan-Audio dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9732
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+ - Wer Ortho: 47.5105
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+ - Wer: 45.2234
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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: 0.0002
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: constant_with_warmup
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+ - lr_scheduler_warmup_steps: 50
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+ - training_steps: 8000
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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 Ortho | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
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+ | 0.2094 | 7.04 | 2000 | 0.8198 | 48.5575 | 46.3918 |
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+ | 0.0883 | 14.08 | 4000 | 0.9112 | 47.4174 | 44.6048 |
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+ | 0.0662 | 21.13 | 6000 | 0.9644 | 46.8125 | 44.6277 |
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+ | 0.0496 | 28.17 | 8000 | 0.9732 | 47.5105 | 45.2234 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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