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  pipeline_tag: text-generation
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  ---
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6615494716917dfdc645c44e/dGyEQuQNl80XhlXvGrGGF.png)
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  # AURORA-Tiny πŸŒ…βœ¨
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  - **Multi-Head Attention**: Standard transformer attention with time modulation
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  - **Output Projection**: Maps back to vocabulary space
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- ## πŸ“Š Performance
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- AURORA-Tiny achieves competitive results on various text generation tasks despite its compact size:
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- | Dataset | Perplexity | BLEU Score | Training Time | Parameters |
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- |---------|------------|------------|---------------|------------|
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- | Movie Reviews | 28.1 | 0.38 | ~15 min | 2.4M |
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- | News Articles | 35.2 | 0.34 | ~20 min | 2.4M |
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- | Poetry | 23.6 | 0.31 | ~12 min | 2.4M |
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  *Tested on RTX 3060, batch_size=16, 15 epochs. Model size: ~2.4M parameters*
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  ## πŸŽ›οΈ Configuration
 
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  pipeline_tag: text-generation
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  ---
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+ > [!NOTE]
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+ > Hii!!! This is a side project, so is not the best.
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+
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6615494716917dfdc645c44e/dGyEQuQNl80XhlXvGrGGF.png)
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  # AURORA-Tiny πŸŒ…βœ¨
 
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  - **Multi-Head Attention**: Standard transformer attention with time modulation
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  - **Output Projection**: Maps back to vocabulary space
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  *Tested on RTX 3060, batch_size=16, 15 epochs. Model size: ~2.4M parameters*
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  ## πŸŽ›οΈ Configuration