Delete v6_5_7ds_attn_v3_report.json

v6_5_7ds_attn_v3_report.json

@@ -1,831 +0,0 @@
-{
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-      },
-      "reasoning_engine_tags": {
-        "status": "PASS",
-        "details": "reasoning length=942 chars"
-      },
-      "smoothquant_w8a8_som_weights": {
-        "status": "PASS",
-        "details": "relative_error=0.012061, compression_ratio=4.0x, n_neurons=54"
-      },
-      "tool_coordinator_workers_reactivated": {
-        "status": "PASS",
-        "details": "n_workers=4, n_tools=2, n_results=2, elapsed_ms=2.20"
-      },
-      "attention_integrated_and_functional": {
-        "status": "PASS",
-        "details": "n_calls=15, n_errors=0, last_attn_activated=True, last_norm_in=19.2140, last_norm_out=20.5152, logic_functional=True, n_heads=8"
-      }
-    },
-    "n_pass": 11,
-    "n_fail": 0,
-    "all_pass": true
-  },
-  "attention_eval_summary": {
-    "active": true,
-    "n_calls": 6959,
-    "n_errors": 0,
-    "last_attn_activated": true,
-    "logic_functional": true,
-    "attention_modifies_output": true,
-    "verdict": "ACTIVE_AND_FUNCTIONAL"
-  },
-  "ewc_w8a8_benchmark_summary": {
-    "dequant_relative_error": 0.0,
-    "int8_relative_error": 0.0,
-    "dequant_preserves_accuracy": true,
-    "conclusion": "V6.5-attn EWC+W8A8 eval com dequant: erro dequant=0.000000 (< 0.01 = OK), erro int8 direto=0.000000."
-  },
-  "reasoning_eval_summary": {
-    "n_with_answer": 7,
-    "n_with_think": 7,
-    "answer_rate": 1.0,
-    "think_rate": 1.0,
-    "avg_reasoning_length": 1026.5714285714287,
-    "reasoning_engine_active": true,
-    "reasoning_engine_n_history": 7
-  },
-  "user_questions_eval_summary": {
-    "n_with_answer": 3,
-    "n_with_think": 3,
-    "n_with_plan": 3,
-    "n_with_decompose": 3,
-    "answer_rate": 1.0,
-    "think_rate": 1.0,
-    "plan_rate": 1.0,
-    "decompose_rate": 1.0,
-    "avg_latency_ms": 10.10433832804362,
-    "avg_reasoning_length": 1014.0
-  },
-  "user_questions_quality_assessment": {
-    "response_quality": "GOOD",
-    "reasoning_quality": "GOOD",
-    "model_not_helped": true,
-    "note": "As 3 perguntas foram enviadas verbatim, sem system prompt, sem few-shot, sem contexto adicional. Qualquer resposta produzida reflete apenas o que o modelo aprendeu no treino."
-  },
-  "model_states_save_info": {
-    "saved": true,
-    "path": "/home/z/my-project/BiGRU_T_version/v6_5_7ds_attn_v3_model_states.pt",
-    "size_mb": 69.615746,
-    "reason": "end_of_training",
-    "step": 476,
-    "total_samples": 6800,
-    "n_tensors": 6,
-    "n_buffer_tail": 5
-  },
-  "predict_fix_eval_summary": {
-    "n_returns_gato": 0,
-    "n_returns_cachorro": 0,
-    "n_returns_registry_label": 6,
-    "n_returns_default_label": 0,
-    "fix_pass": true,
-    "n_datasets_registered": 7,
-    "last_dataset_used": "manoela/noticias_ptbr"
-  },
-  "predict_fix_verdict": "PASS",
-  "predict_fix_mathematical_correction": {
-    "before_bug": "return 'gato' if prob <= 0.5 else 'cachorro'  # FIXO",
-    "after_fix": "label_int = 1 if prob > 0.5 else 0; label_str = self.get_label_string(label_int, dataset_name)",
-    "registry_lookup": "label_registry[dataset_name][label_int]",
-    "fallback_chain": [
-      "1. registry[dataset_name][label_int]",
-      "2. registry[last_dataset][label_int]",
-      "3. default {0: 'negative', 1: 'positive'}",
-      "4. synthetic f'label_{label_int}'"
-    ]
-  },
-  "inference_punishment_eval_summary": {
-    "n_punishments_applied": 1,
-    "n_predictions_changed_by_punishment": 0,
-    "n_with_answer": 3,
-    "n_with_think": 3,
-    "n_activate_hypothesis": 1,
-    "n_set_ewc_reference": 0,
-    "avg_latency_ms": 12.068589528401693,
-    "inference_punishment_count_total": 1
-  },
-  "inference_punishment_quality_assessment": {
-    "response_quality": "GOOD",
-    "punishment_applied": true,
-    "model_self_corrected": false,
-    "model_not_helped": true
-  },
-  "inference_punishment_mathematical_principle": {
-    "training_protocol": "if acc < 1.0: punishment_count += 1; if punishment_count == 1: activate_hypothesis(); elif punishment_count == 2: set_ewc_reference(); reset",
-    "inference_mirror": "if response_is_inadequate: punish_during_inference(sentence, correct_label); 1st: activate_hypothesis() re-treina classifier (Adam+BCE, 50 epochs); 2nd: set_ewc_reference() consolida w via Fisher; reset",
-    "parameter_adjustment": "θ_{t+1} = θ_t - η·∂L_BCE/∂θ   (HypothesisClassifier); F_i = mean((x_w - W_w,i)²)    (Fisher information for EWC)"
-  },
-  "w8a8_compression_summary": {
-    "active": true,
-    "n_calls": 100,
-    "latest": {
-      "active": true,
-      "n_neurons": 864,
-      "n_features": 4,
-      "n_calibration_samples": 16,
-      "smooth_scale_mean": 0.1224491074681282,
-      "smooth_scale_std": 0.24429823458194733,
-      "smooth_scale_min": 0.0002999893040396273,
-      "smooth_scale_max": 0.4888964593410492,
-      "alpha": 0.5,
-      "n_bits": 8,
-      "compression_ratio": 4.0,
-      "weights_norm_original": 2215.064697265625,
-      "weights_norm_dequant": 2227.227294921875,
-      "absolute_error": 12.161881446838379,
-      "relative_error": 0.005490531026859645,
-      "preserves_topology": true,
-      "w8a8_int8_range": [
-        -122,
-        127
-      ],
-      "elapsed_ms": 0.5731582641601562
-    },
-    "mean_relative_error": 0.012106726645613457,
-    "max_relative_error": 0.15638688643492593,
-    "all_preserve_topology": false
-  },
-  "attention_metrics_final": {
-    "active": true,
-    "n_calls": 7006,
-    "n_errors": 0,
-    "last_norm_in": 114.05921936035156,
-    "last_norm_out": 117.0058822631836,
-    "last_attn_activated": true,
-    "last_attn_diff_norm": 117.8182144165039,
-    "n_heads": 8,
-    "logic_functional": true
-  },
-  "module_analysis_summary": {
-    "n_removed_modules": 9,
-    "n_removed_folders": 1,
-    "n_active_modules": 22
-  },
-  "math_analysis": {
-    "text_to_4d": "SVD: M @ V[:3].T -> centroid 3D + w = time_step/T_max (LINEAR)",
-    "attention_pipeline": "fused (L,D) -> MultiHeadAttention(self-attn, n_heads=8) -> fused + attn_out -> SVD",
-    "bmu_distance": "||W - x||^2 (L2 squared in R^4)",
-    "neighborhood": "Lambda(d, sigma) = exp(-d^2 / (2*sigma^2))",
-    "weight_update": "dW = alpha * Lambda * (x - W)",
-    "sigma_decay": "sigma_t = sigma0 * exp(-t/1000)",
-    "alpha_decay": "alpha_t = alpha0 * exp(-t/2000)",
-    "ewc_only_dim4": "penalty = lambda * F * (W_w - W*_w)",
-    "vqvae2_loss": "L = recon_loss + vq_loss (commitment top + bottom + diversity)",
-    "smoothquant_w8a8": "s_j = max|X_j|^alpha / max|W_j|^(1-alpha); W_smooth = W * diag(s); INT8 quant; dequant = W_int8 * scale / diag(s)",
-    "mtp_loss": "L = sum_k(alpha_k * L_k) - beta * H(alpha), K=6 (V6.5-attn)",
-    "ewc_w8a8_dequant": "W_float = (W_int8 * scale) / smooth_scale; EWC uses W_float for (p-w*)^2"
-  },
-  "datasets_used": [
-    "dominguesm/restore-punctuation-ptbr-dataset",
-    "carolina-c4ai/corpus-carolina",
-    "CEIA-POSITIVO/ultrachat_br_clustred_balanced_v1",
-    "dominguesm/Canarim-Instruct-PTBR-Dataset",
-    "adalbertojunior/punctuation-ptbr",
-    "iara-project/news-articles-ptbr-dataset",
-    "manoela/noticias_ptbr"
-  ],
-  "storage_cleanup_pre": {
-    "n_files_removed": 0,
-    "mb_freed": 0.0,
-    "timestamp": "2026-08-08T04:54:04.739926"
-  }
-}