Upload artifacts for approch_day_gap_2_2_w2_s1_t0p07

approach_2/base_approch_2_config.json

@@ -0,0 +1,70 @@
+{
+  "data_path": "/home/hp/SEM2/INLP/Naretve_Shift/Processed_Data/Distributed_Data/BAL_TOPIC_WISE_W3",
+  "output_path": "./tcl_output_new_2",
+  "topic_files": {
+    "War": "War.csv",
+    "Health": "Health.csv",
+    "Economics": "Economics.csv",
+    "Technology": "Technology.csv",
+    "Climate": "Climate.csv"
+  },
+  "topics": [
+    "War",
+    "Health",
+    "Economics",
+    "Technology",
+    "Climate"
+  ],
+  "embedding_column": "w5_embedding",
+  "embedding_dim": 768,
+  "context_window": 5,
+  "min_sentences_per_day": 3,
+  "window_size": 2,
+  "stride": 1,
+  "use_fixed_group_size": false,
+  "fixed_group_size": 3,
+  "use_max_day_gap": true,
+  "max_day_gap": 2,
+  "topic_threshold": 0.27,
+  "inference_batch_size": 32,
+  "hidden_dim": 256,
+  "num_heads": 8,
+  "num_layers": 3,
+  "feed_forward_dim": 512,
+  "dropout": 0.1,
+  "projection_dim": 128,
+  "batch_size": 32,
+  "learning_rate": 0.0001,
+  "epochs": 100,
+  "weight_decay": 0.01,
+  "warmup_epochs": 5,
+  "min_lr": 1e-06,
+  "temperature": 0.07,
+  "gradient_clip": 1.0,
+  "use_amp": true,
+  "patience": 5,
+  "min_delta": 0.001,
+  "drift_smoothing_window": 3,
+  "zscore_threshold": 1.0,
+  "percentile_threshold": 50,
+  "seed": 42,
+  "approach_id": "2",
+  "model_name_prefix": "approch",
+  "model_type": "day_gap",
+  "model_group_size": 2,
+  "model_name_template": "{model_name_prefix}_{model_type}_{model_group_size}_{approach_id}_w{window_size}_s{stride}_t{temperature_tag}",
+  "load_variant": "best",
+  "time_dim": 1,
+  "topic_dim": 5,
+  "final_dim": 774,
+  "model_base_name": "approch_day_gap_2_2_w2_s1_t0p07",
+  "model_best_path": "./tcl_output_new_2/approch_day_gap_2_2_w2_s1_t0p07_best.pt",
+  "model_last_path": "./tcl_output_new_2/approch_day_gap_2_2_w2_s1_t0p07_last.pt",
+  "model_evaluated_path": "./tcl_output_new_2/approch_day_gap_2_2_w2_s1_t0p07_evaluated.pt",
+  "train_loss_plot_path": "./tcl_output_new_2/approch_day_gap_2_2_w2_s1_t0p07_train_loss.png",
+  "eval_heatmap_intra_path": "./tcl_output_new_2/approch_day_gap_2_2_w2_s1_t0p07_intra_heatmap.png",
+  "eval_heatmap_inter_path": "./tcl_output_new_2/approch_day_gap_2_2_w2_s1_t0p07_inter_heatmap.png",
+  "run_summary_path": "./tcl_output_new_2/approch_day_gap_2_2_w2_s1_t0p07_run_summary.json",
+  "eval_metrics_path": "./tcl_output_new_2/approch_day_gap_2_2_w2_s1_t0p07_evaluation_metrics.json",
+  "model_load_path": "./tcl_output_new_2/approch_day_gap_2_2_w2_s1_t0p07_best.pt"
+}