Update README.md

README.md

@@ -13,7 +13,7 @@ pipeline_tag: text-classification
 # helizac/berturk-pair-acceptability
 
 This model is a fine-tuned version of `dbmdz/bert-base-turkish-cased` for classifying the acceptability of a Turkish text output given a Turkish text input.
-It was developed as part of the thesis "Evaluation of the Acceptability of Model Outputs" (May 2025).
+It was developed as part of the "Evaluation of the Acceptability of Model Outputs" (May 2025).
 
 ## Model Description
 
@@ -111,7 +111,7 @@ output_text_2 = "Elmalar çok güzel!"
 prediction_2, confidence_2 = predict_pair_acceptability(input_text_2, output_text_2, model, tokenizer, device, MAX_LENGTH)
 print(f"Input: {input_text_2}\nOutput: {output_text_2}\nPrediction: {prediction_2} (Confidence: {confidence_2:.4f})\n")
 
-# Example 3: Unacceptable (grammatically poor, from thesis Table 4.5)
+# Example 3: Unacceptable (grammatically poor)
 input_text_3 = "Hayalindeki meslek ne büyük."
 output_text_3 = "Olmak ben istemek büyük.
 prediction_3, confidence_3 = predict_pair_acceptability(input_text_3, output_text_3, model, tokenizer, device, MAX_LENGTH)
@@ -120,7 +120,7 @@ print(f"Input: {input_text_3}\nOutput: {output_text_3}\nPrediction: {prediction_
 
 ## Training Data
 The model was fine-tuned on a dataset of approximately 460,000 Turkish input-output text pairs.
-"Acceptable" pairs (\~132,000) were sourced from various public Turkish NLP datasets (details in the thesis).
+"Acceptable" pairs (\~132,000) were sourced from various public Turkish NLP datasets
 "Unacceptable" pairs (\~328,000) were synthetically generated by applying rule-based corruptions (typos, toxic word injection, repetition, mismatched outputs) to the acceptable outputs.
 All pairs were truncated/padded to a maximum sequence length of 64 tokens for the combined input and output.
 
@@ -134,7 +134,7 @@ The stress test for this model showed:
 * (Tested on T4 GPU)
 
 ## Citation
-This model was developed as part of the following thesis:
+This model was developed as part of the following:
 
 Erdi, F. (2025). MODEL ÇIKTILARININ KABUL EDİLEBİLİRLİĞİNİN DEĞERLENDİRİLMESİ (Evaluation of the Acceptability of Model Outputs). T.C Galatasaray Üniversitesi, Mühendislik ve Teknoloji Fakültesi.