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  This model is a fine-tuned version of ```facebook/bart-large``` trained on the ```sentence-transformers/sentence-compression``` dataset. The goal of this model is to generate compressed versions of input sentences while maintaining fluency and meaning.
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  ### Training Details
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  Base Model: ```facebook/bart-large```
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  Precision Mode: FP16 for efficient training
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  ### Evaluation Results
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  ### Validation Set Performance:
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- SARI: 89.68
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- SARI Penalized: 88.42
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- ROUGE-1: 93.05
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- ROUGE-2: 88.47
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- ROUGE-L: 92.98
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  ### Test Set Performance:
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  ROUGE-L: 93.07
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  ### Training Loss Curve
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  The loss curves during training are visualized in bart-large-sentence-compression_loss.eps, showing both training and evaluation loss over steps.
 
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  This model is a fine-tuned version of ```facebook/bart-large``` trained on the ```sentence-transformers/sentence-compression``` dataset. The goal of this model is to generate compressed versions of input sentences while maintaining fluency and meaning.
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+ ---
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  ### Training Details
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  Base Model: ```facebook/bart-large```
 
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  Precision Mode: FP16 for efficient training
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+ ---
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  ### Evaluation Results
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  ### Validation Set Performance:
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+ | Metric | Score |
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+ |---------------------|-------|
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+ | SARI | 89.68 |
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+ | SARI Penalized | 88.42 |
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+ | ROUGE-1 | 93.05 |
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+ | ROUGE-2 | 88.47 |
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+ | ROUGE-L | 92.98 |
 
 
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  ### Test Set Performance:
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  ROUGE-L: 93.07
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+ ---
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  ### Training Loss Curve
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  The loss curves during training are visualized in bart-large-sentence-compression_loss.eps, showing both training and evaluation loss over steps.