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+================================================================================
+DETOXIFY-MEDIUM MODEL BENCHMARK RESULTS
+================================================================================
+
+📊 EXECUTIVE SUMMARY
+--------------------------------------------------
+Benchmark Date: 2025-09-18 13:17:58
+Model: Detoxify-Medium
+Dataset: ParaDetox (https://github.com/s-nlp/paradetox)
+Total Samples: 1011
+
+🎯 OVERALL PERFORMANCE METRICS
+--------------------------------------------------
+   Toxicity Reduction: 0.178
+   Semantic Preservation: 0.561
+   Fluency: 0.929
+   Average Latency: 160.2ms
+   Original Toxicity: 0.196
+   Final Toxicity: 0.018
+
+📈 DATASET BREAKDOWN
+--------------------------------------------------
+
+🔹 PARADETOX TOXIC NEUTRAL
+   Samples: 1000
+   Toxicity Reduction: 0.044
+   Semantic Preservation: 0.645
+   Fluency: 0.922
+   Latency: 156.2ms
+   Original Toxicity: 0.051
+   Final Toxicity: 0.007
+
+🔹 PARADETOX HIGH TOXICITY
+   Samples: 11
+   Toxicity Reduction: 0.313
+   Semantic Preservation: 0.477
+   Fluency: 0.936
+   Latency: 164.3ms
+   Original Toxicity: 0.342
+   Final Toxicity: 0.029
+
+================================================================================