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Update README.md

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@@ -5,8 +5,30 @@ license: apache-2.0
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  language:
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  - tr
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  metrics:
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- - bleu 0.0406
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- - bertscore 0.5286
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  +---------------------+--------+
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  | Metrik | Değer |
@@ -81,9 +103,9 @@ Model may still contain biases inherited from the base model. Performance is bes
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  ## 🧪 Training & Evaluation / Eğitim ve Değerlendirme
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  - **Training Library / Eğitim Kütüphanesi:** [Unsloth](https://github.com/unslothai/unsloth)
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- - **Hardware Used / Kullanılan Donanım:** NVIDIA A100 / RTX 3090
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  - **Precision:** bf16 (mixed precision)
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- - **Dataset:** Özel Türkçe veriseti (tarım & finans odaklı)
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  - **Evaluation Tool:** `wandb` (Weights & Biases)
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  ### 📊 Evaluation Results / Değerlendirme Sonuçları
 
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  language:
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  - tr
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  metrics:
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+ - name: ROUGE-1
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+ type: rouge
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+ value: 0.2439
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+ - name: ROUGE-2
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+ type: rouge
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+ value: 0.1303
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+ - name: ROUGE-L
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+ type: rouge
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+ value: 0.2147
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+ - name: BLEU
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+ type: bleu
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+ value: 0.0406
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+ - name: METEOR
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+ type: meteor
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+ value: 0.2262
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+ - name: BERTScore Precision
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+ type: bertscore
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+ value: 0.5286
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+ - name: BERTScore Recall
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+ type: bertscore
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+ value: 0.5834
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+ - name: BERTScore F1
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+ type: bertscore
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+ value: 0.553
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  ---
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  +---------------------+--------+
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  | Metrik | Değer |
 
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  ## 🧪 Training & Evaluation / Eğitim ve Değerlendirme
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  - **Training Library / Eğitim Kütüphanesi:** [Unsloth](https://github.com/unslothai/unsloth)
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+ - **Hardware Used / Kullanılan Donanım:** RTX 3090
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  - **Precision:** bf16 (mixed precision)
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+ - **Dataset:** Özel Türkçe veriseti (tarım odaklı)
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  - **Evaluation Tool:** `wandb` (Weights & Biases)
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  ### 📊 Evaluation Results / Değerlendirme Sonuçları