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End of training

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  1. README.md +61 -0
  2. generation_config.json +112 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ language:
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+ - sw
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+ base_model: discoverylabs/whisper-large-v2-swa
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - mozilla-foundation/common_voice_11_0
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+ model-index:
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+ - name: Whisper Imla Custom
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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 Imla Custom
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+
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+ This model is a fine-tuned version of [discoverylabs/whisper-large-v2-swa](https://huggingface.co/discoverylabs/whisper-large-v2-swa) on the Common Voice 11.0 dataset.
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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: 3e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 8
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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: 1000
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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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+
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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 2.1.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.1
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