初始化项目，由ModelHub XC社区提供模型

Model: Vilyam888/Broken_Code_Generation.1.0
Source: Original Platform

metrics/evaluation_report.txt

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+ОТЧЁТ ОБ ОЦЕНКЕ МОДЕЛИ Broken_Code_Generation.1.0
+Репозиторий: Vilyam888/Broken_Code_Generation.1.0
+Базовая модель: Qwen/Qwen2.5-Coder-3B-Instruct
+Дата оценки: 2026-06-11
+Выборка: test.json, N = 100 (hold-out test)
+Генерация: temperature = 0.2, max_new_tokens = 1200
+
+1. Perplexity (validation, checkpoint-501):
+  • train_loss_final: 0.1867
+  • eval_loss_final: 0.2523
+  • eval_mean_token_accuracy: 0.9323
+  • perplexity_validation: 1.29
+  • num_train_epochs: 3
+  • global_step: 501
+
+  По эпохам:
+    epoch 1.0: PPL=1.3247, eval_loss=0.2812, acc=0.9243
+    epoch 2.0: PPL=1.2856, eval_loss=0.2512, acc=0.9317
+    epoch 3.0: PPL=1.2869, eval_loss=0.2523, acc=0.9323
+
+2. JSON validity (QLoRA vs baseline):
+  • valid_json_rate: 0.94 (baseline 0.78, Δ 0.16)
+  • required_fields_rate: 0.92 (baseline 0.74, Δ 0.18)
+  • difficulty_match_rate: 0.96 (baseline 0.85, Δ 0.11)
+  • topic_tag_key_match_rate: 0.97 (baseline 0.83, Δ 0.14)
+
+3. BLEU / ROUGE (QLoRA vs baseline):
+  • bleu4_corpus: 0.68 (baseline 0.52, Δ 0.16)
+  • rouge1_f1: 0.73 (baseline 0.57, Δ 0.16)
+  • rouge2_f1: 0.58 (baseline 0.41, Δ 0.17)
+  • rougeL_f1: 0.71 (baseline 0.54, Δ 0.17)
+
+4. Code metrics (поле broken_code):
+  • broken_code_syntax_valid_rate: 0.91
+  • codebleu_broken_code: 0.47