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@@ -16,11 +16,14 @@ datasets:
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  pipeline_tag: text-generation
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  ---
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- ## Usage 🚀
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  Model was tested 1500 wikipedia articles, and was measured by these metrics:
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- Model's average Rouge-1 score: 0.438
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- Model's averageRouge-l score: 0.356
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- Model's average Bertscore: 0.668
 
 
 
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  ```python
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  from unsloth import FastLanguageModel
 
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  pipeline_tag: text-generation
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  ---
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+ ## Introduction
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  Model was tested 1500 wikipedia articles, and was measured by these metrics:
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+ - Model's average Rouge-1 score: 0.438
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+ - Model's averageRouge-l score: 0.356
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+ - Model's average Bertscore: 0.668
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+ - **GGUF version**: https://huggingface.co/anilguven/Qwen2.5-0.5B-TrSummarization-unsloth-GGUF
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+
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+ ## Usage 🚀
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  ```python
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  from unsloth import FastLanguageModel