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README.md
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@@ -46,7 +46,8 @@ The following table summarizes the readability scores for the original texts and
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## Evaluation Results
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The fine-tuned model was evaluated using **Rouge** and **BERTScore** metrics. For comparison, the performance of two other Persian LLMs based on LLaMA is also presented:
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| Prediction Model | Rouge1 | Rouge2 | RougeL | Precision | Recall | F1 |
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|-----------------------------------------------|---------|---------|---------|-----------|---------|---------|
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| Fine-Tuned Model | **38.08%** | **15.83%** | **19.41%** | **76.75%** | **71.06%** | **73.71%** |
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## Evaluation Results
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The fine-tuned model was evaluated using **Rouge** and **BERTScore** metrics. For comparison, the performance of two other Persian LLMs based on LLaMA is also presented:
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| Metrics | ROUGE | BERTScore |
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| Prediction Model | Rouge1 | Rouge2 | RougeL | Precision | Recall | F1 |
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|-----------------------------------------------|---------|---------|---------|-----------|---------|---------|
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| Fine-Tuned Model | **38.08%** | **15.83%** | **19.41%** | **76.75%** | **71.06%** | **73.71%** |
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