From 7bbf67c4654229b996d29db747adef032ea2e81c Mon Sep 17 00:00:00 2001
From: pikaliov <pikaliov@gmail.com>
Date: Mon, 4 May 2026 11:25:42 +0300
Subject: [PATCH] claude_refactor_v3: Removed old conf with gins

---
 conf/balanced.gin                          | 48 ----------------
 conf/baseline_no_text.gin                  | 10 ----
 conf/gtauav_balanced.gin                   | 64 ----------------------
 conf/gtauav_balanced_asym.gin              | 16 ------
 conf/gtauav_balanced_sofia.gin             | 39 -------------
 conf/gtauav_balanced_sofia_v1.gin          | 42 --------------
 conf/gtauav_balanced_stripnet.gin          | 27 ---------
 conf/gtauav_balanced_stripnet_unfrozen.gin | 17 ------
 conf/gtauav_baseline.gin                   | 28 ----------
 conf/gtauav_baseline_asym.gin              |  9 ---
 conf/gtauav_baseline_sofia.gin             | 13 -----
 conf/gtauav_baseline_sofia_v1.gin          |  8 ---
 conf/gtauav_baseline_stripnet.gin          |  8 ---
 conf/gtauav_baseline_stripnet_unfrozen.gin |  8 ---
 conf/gtauav_image_heavy.gin                |  8 ---
 conf/gtauav_text_heavy.gin                 |  8 ---
 conf/text_heavy.gin                        |  9 ---
 17 files changed, 362 deletions(-)
 delete mode 100644 conf/balanced.gin
 delete mode 100644 conf/baseline_no_text.gin
 delete mode 100644 conf/gtauav_balanced.gin
 delete mode 100644 conf/gtauav_balanced_asym.gin
 delete mode 100644 conf/gtauav_balanced_sofia.gin
 delete mode 100644 conf/gtauav_balanced_sofia_v1.gin
 delete mode 100644 conf/gtauav_balanced_stripnet.gin
 delete mode 100644 conf/gtauav_balanced_stripnet_unfrozen.gin
 delete mode 100644 conf/gtauav_baseline.gin
 delete mode 100644 conf/gtauav_baseline_asym.gin
 delete mode 100644 conf/gtauav_baseline_sofia.gin
 delete mode 100644 conf/gtauav_baseline_sofia_v1.gin
 delete mode 100644 conf/gtauav_baseline_stripnet.gin
 delete mode 100644 conf/gtauav_baseline_stripnet_unfrozen.gin
 delete mode 100644 conf/gtauav_image_heavy.gin
 delete mode 100644 conf/gtauav_text_heavy.gin
 delete mode 100644 conf/text_heavy.gin

diff --git a/conf/balanced.gin b/conf/balanced.gin
deleted file mode 100644
index 029007b..0000000
--- a/conf/balanced.gin
+++ /dev/null
@@ -1,48 +0,0 @@
-# Balanced: GatedFusion with text captions enabled.
-# query = sigma(alpha) * drone + (1-sigma(alpha)) * text -> InfoNCE vs satellite
-
-import src.datasets.visloc_with_captions
-import src.losses.multi_infonce
-import src.models.dual_encoder
-import src.training.train
-
-# ---- Dual encoder ----
-DualEncoderCaptionTest.variant = "ViT-B-32"
-DualEncoderCaptionTest.pretrained_path = "checkpoints/RS5M_ViT-B-32.pt"
-DualEncoderCaptionTest.unfreeze_mode = "last_block"
-DualEncoderCaptionTest.embed_dim = 512
-DualEncoderCaptionTest.use_mlp_heads = False
-DualEncoderCaptionTest.baseline_mode = False
-DualEncoderCaptionTest.init_gate = 0.7
-DualEncoderCaptionTest.device = "cuda"
-
-# ---- Fusion ----
-GatedFusion.init_gate = 0.7
-GatedFusion.baseline_mode = False
-
-# ---- Loss ----
-InfoNCELoss.temperature_init = 0.1
-InfoNCELoss.temperature_final = 0.01
-InfoNCELoss.label_smoothing = 0.1
-InfoNCELoss.weight_q2g = 0.6
-InfoNCELoss.weight_g2q = 0.4
-
-# ---- Dataset ----
-GeoLocCaptionDataset.drop_caption_prob = 0.0
-GeoLocCaptionDataset.seed = 42
-
-# ---- Training ----
-TrainConfig.train_query_file = "/mnt/data1tb/cvgl_datasets/UAV-GeoLoc/Index/train_query.txt"
-TrainConfig.val_query_file = "/mnt/data1tb/cvgl_datasets/UAV-GeoLoc/Index/val_query.txt"
-TrainConfig.data_root = "/mnt/data1tb/cvgl_datasets/UAV-GeoLoc"
-TrainConfig.output_dir = "out/caption_test/balanced"
-TrainConfig.epochs = 10
-TrainConfig.batch_size = 128
-TrainConfig.num_workers = 4
-TrainConfig.learning_rate = 1e-4
-TrainConfig.weight_decay = 1e-4
-TrainConfig.grad_clip = 1.0
-TrainConfig.use_amp = True
-TrainConfig.eval_every = 2
-TrainConfig.seed = 42
-TrainConfig.device = "cuda"
diff --git a/conf/baseline_no_text.gin b/conf/baseline_no_text.gin
deleted file mode 100644
index 2dd966a..0000000
--- a/conf/baseline_no_text.gin
+++ /dev/null
@@ -1,10 +0,0 @@
-# Baseline: no text fusion (gate forced to 1.0).
-# query = drone_only -> InfoNCE vs satellite
-# Reference R@1 for delta computation.
-
-include 'balanced.gin'
-
-DualEncoderCaptionTest.baseline_mode = True
-GatedFusion.baseline_mode = True
-
-TrainConfig.output_dir = "out/caption_test/baseline_no_text"
diff --git a/conf/gtauav_balanced.gin b/conf/gtauav_balanced.gin
deleted file mode 100644
index c5b82c5..0000000
--- a/conf/gtauav_balanced.gin
+++ /dev/null
@@ -1,64 +0,0 @@
-# GTA-UAV Balanced: Asymmetric DINOv3 (WEB+SAT) with L1/L2/L3 captions.
-# Symmetric InfoNCE + MutuallyExclusiveSampler (no false negatives).
-# 10 epochs, MONA all 24 blocks, 1024-dim retrieval, hard negative bank.
-
-import src.losses.multi_infonce
-
-# ---- Training ----
-TrainConfigGTAUAV.epochs = 10
-TrainConfigGTAUAV.batch_size = 8
-TrainConfigGTAUAV.num_workers = 4
-TrainConfigGTAUAV.learning_rate = 1e-4
-TrainConfigGTAUAV.text_lr_factor = 0.1
-TrainConfigGTAUAV.weight_decay = 1e-4
-TrainConfigGTAUAV.grad_clip = 1.0
-TrainConfigGTAUAV.grad_accum_steps = 8
-TrainConfigGTAUAV.use_amp = True
-TrainConfigGTAUAV.eval_every = 1
-TrainConfigGTAUAV.warmup_epochs = 2
-TrainConfigGTAUAV.seed = 42
-TrainConfigGTAUAV.device = "cuda"
-
-# ---- Model ----
-TrainConfigGTAUAV.init_gate = 0.7
-TrainConfigGTAUAV.baseline_mode = False
-TrainConfigGTAUAV.shared_encoder = True  # single DINOv3 WEB for both branches
-TrainConfigGTAUAV.mona_bottleneck = 64
-TrainConfigGTAUAV.mona_last_n_blocks = 12  # inject MONA only in last 12/24 ViT blocks
-TrainConfigGTAUAV.gradient_checkpointing = True
-
-# ---- Loss ----
-TrainConfigGTAUAV.loss_type = "symmetric"
-TrainConfigGTAUAV.tau_init = 0.07
-TrainConfigGTAUAV.label_smoothing = 0.1
-TrainConfigGTAUAV.learnable_temperature = True
-TrainConfigGTAUAV.weight_q2g = 0.6
-TrainConfigGTAUAV.weight_g2q = 0.4
-TrainConfigGTAUAV.neg_bank_size = 0 # 4096
-
-# ---- Sampling ----
-TrainConfigGTAUAV.sampler_type = "mutex"  # "dss" or "mutex"
-TrainConfigGTAUAV.dss_warmup_epochs = 1  # first N epochs use mutex-only (untrained embeds not useful)
-TrainConfigGTAUAV.dss_reembed_every = 1
-TrainConfigGTAUAV.use_mutex_sampler = True  # legacy flag, kept True unless disabling both samplers
-
-# ---- Output ----
-TrainConfigGTAUAV.output_dir = "out/gtauav/with_text"
-
-# ---- Tracking ----
-TrainConfigGTAUAV.use_wandb = False
-TrainConfigGTAUAV.use_tb = True
-TrainConfigGTAUAV.use_gradcam = False
-TrainConfigGTAUAV.gradcam_every = 5
-TrainConfigGTAUAV.use_profiler = False
-TrainConfigGTAUAV.log_grad_norms = True
-
-# ---- InfoNCELoss (gin-configurable) ----
-InfoNCELoss.temperature_init = 0.07
-InfoNCELoss.learnable_temperature = True
-InfoNCELoss.label_smoothing = 0.1
-InfoNCELoss.weight_q2g = 0.6
-InfoNCELoss.weight_g2q = 0.4
-InfoNCELoss.tau_min = 0.01
-InfoNCELoss.tau_max = 0.1
-InfoNCELoss.hard_mining_k = 0 # 512  # 0 = use whole queue (disable mining)
diff --git a/conf/gtauav_balanced_asym.gin b/conf/gtauav_balanced_asym.gin
deleted file mode 100644
index 752bccd..0000000
--- a/conf/gtauav_balanced_asym.gin
+++ /dev/null
@@ -1,16 +0,0 @@
-# GTA-UAV Balanced (asymmetric, full MONA): WEB drone encoder + SAT satellite encoder.
-# MONA injected into all 24 ViT blocks of each encoder.
-# Same loss/sampling/optimizer as gtauav_balanced.gin; differs only in model arch.
-#
-# Trainable: ~17.6M (MONA 2× × 24 blocks + LoRA + TextFusionMLP + gates + tau)
-# Total params: ~733M (2× DINOv3-L + DGTRS-CLIP)
-# VRAM target (RTX 4090, 24 GB): ~16-20 GB at batch=8 with gradient checkpointing.
-
-include 'conf/gtauav_balanced.gin'
-
-# ---- Model overrides: asymmetric + full MONA ----
-TrainConfigGTAUAV.shared_encoder = False    # WEB for drone, SAT for satellite
-TrainConfigGTAUAV.mona_last_n_blocks = 24   # MONA in all 24 ViT blocks (was 12)
-
-# ---- Output ----
-TrainConfigGTAUAV.output_dir = "out/gtauav/balanced_asym"
diff --git a/conf/gtauav_balanced_sofia.gin b/conf/gtauav_balanced_sofia.gin
deleted file mode 100644
index 6971495..0000000
--- a/conf/gtauav_balanced_sofia.gin
+++ /dev/null
@@ -1,39 +0,0 @@
-# GTA-UAV Balanced (SOFIA-Tiny backbone): SOFIA v7.1 student trained from scratch
-# с двухуровневой text fusion:
-#   1. Mid-level: Text-FiLM в SAT и UAV heads (модулирует feature map перед GGeM/CHP).
-#   2. Late-level: GatedFusion на дескрипторах (как в DINOv3/StripNet вариантах).
-#
-# Trainable (~5-7M):
-#   - SOFIA backbone (Tiny, ~5M, from scratch — нет pretrained)
-#   - SOFIA heads (SatHead GGeM+BN+Linear, UAVHead AltitudeFiLM+CHP+BN+Linear, +Text-FiLM)
-#   - DGTRS-CLIP LoRA (rank=4, ~147K)
-#   - TextFusionMLP (3*768 -> 1024 -> 1024, ~3.4M, shared)
-#   - Gates α_q, α_g + learnable τ
-#
-# Altitude (drone_height метры) подаётся в UAVHead.AltitudeFiLM из dataset meta CSV.
-# Для sat — altitude=None → FiLM passthrough (γ=1, β=0).
-#
-# Note: SOFIA from scratch — нужно больше эпох или warmup, чем frozen DINOv3/StripNet.
-#       Mamba-2 backend (mamba_ssm) даёт 2-8x speedup vs torch fallback.
-
-include 'conf/gtauav_balanced.gin'
-
-# ---- Backbone ----
-TrainConfigGTAUAV.backbone = "sofia"
-TrainConfigGTAUAV.sofia_preset = "Tiny"
-TrainConfigGTAUAV.sofia_d_descriptor = 1024
-TrainConfigGTAUAV.sofia_use_text_film_uav = True
-TrainConfigGTAUAV.sofia_use_text_film_sat = True
-TrainConfigGTAUAV.sofia_lora_rank = 4
-# Mamba-1 used for Tiny (Mamba-2 torch fallback has a pre-existing reshape bug
-# with channels not divisible by default headdim; switch to "mamba2" for M/L
-# presets where channels % 64 == 0 OR install mamba_ssm CUDA kernels).
-TrainConfigGTAUAV.sofia_mamba_variant = "mamba1"
-TrainConfigGTAUAV.sofia_mamba_backend = "auto"  # mamba_ssm if installed else torch fallback
-
-# ---- Training overrides ----
-TrainConfigGTAUAV.gradient_checkpointing = False  # SOFIA from-scratch — keep activations live
-TrainConfigGTAUAV.shared_encoder = True  # ignored by SOFIA but kept for logging compat
-
-# ---- Output ----
-TrainConfigGTAUAV.output_dir = "out/gtauav/with_text_sofia"
diff --git a/conf/gtauav_balanced_sofia_v1.gin b/conf/gtauav_balanced_sofia_v1.gin
deleted file mode 100644
index f35abd5..0000000
--- a/conf/gtauav_balanced_sofia_v1.gin
+++ /dev/null
@@ -1,42 +0,0 @@
-# GTA-UAV Balanced (SOFIA v1 backbone): StripNet+DCNv4 hierarchical CNN
-# (~3-30M params depending on variant) trained from scratch с двухуровневой
-# text fusion:
-#   1. Mid-level: Text-FiLM в SAT и UAV heads (модулирует [B,C,8,8] перед GGeM).
-#   2. Late-level: GatedFusion на дескрипторах.
-#
-# UAV head: AltitudeFiLM(drone_height) + [TextFiLM] + GGeM + BN + Linear.
-# SAT head: [TextFiLM] + GGeM + BN + Linear.
-# Один backbone shared между sat/uav.
-#
-# Variant -> размер модели:
-#   tiny_tiny: dims [16, 32, 80, 128]   (~0.4M)
-#   tiny     : dims [32, 64, 128, 256]  (~1M)
-#   small    : dims [64, 128, 320, 512] (~3M, default)
-#   small_v2 : dims [64, 128, 256, 384] (~2M)
-#
-# Trainable (с small variant + text fusion):
-#   - SOFIA v1 backbone (~3M) + heads (~0.6M)
-#   - DGTRS-CLIP LoRA (rank=4, ~147K)
-#   - TextFusionMLP (3*768 -> 1024 -> 1024, ~3.4M, shared)
-#   - Gates α_q, α_g + learnable τ
-# Total trainable ~7M.
-#
-# Note: DCNv4 требует CUDA — обучение только на GPU. Не работает на CPU.
-
-include 'conf/gtauav_balanced.gin'
-
-# ---- Backbone ----
-TrainConfigGTAUAV.backbone = "sofia_v1"
-TrainConfigGTAUAV.sofia_v1_variant = "tiny"
-TrainConfigGTAUAV.sofia_v1_d_descriptor = 1024
-TrainConfigGTAUAV.sofia_v1_use_text_film_uav = True
-TrainConfigGTAUAV.sofia_v1_use_text_film_sat = True
-TrainConfigGTAUAV.sofia_v1_use_film_altitude = True
-TrainConfigGTAUAV.sofia_v1_lora_rank = 4
-
-# ---- Training overrides ----
-TrainConfigGTAUAV.gradient_checkpointing = False  # SOFIA v1 from-scratch
-TrainConfigGTAUAV.shared_encoder = True
-
-# ---- Output ----
-TrainConfigGTAUAV.output_dir = "out/gtauav/with_text_sofia_v1"
diff --git a/conf/gtauav_balanced_stripnet.gin b/conf/gtauav_balanced_stripnet.gin
deleted file mode 100644
index 522776a..0000000
--- a/conf/gtauav_balanced_stripnet.gin
+++ /dev/null
@@ -1,27 +0,0 @@
-# GTA-UAV Balanced (StripNet backbone): StripNet-small + Conv-MONA in last 2 stages.
-# Replaces DINOv3 ViT-L/16 with strip-shaped DWConv hierarchical CNN (~28M params,
-# 10× smaller than DINOv3). Output 512-dim → projected to 1024 to match retrieval space.
-#
-# Trainable:
-#   - Projection (Linear 512→1024): ~525K
-#   - Conv-MONA in stages 3 & 4 (2 adapters per Block × 6 blocks total): ~2-3M
-#   - LoRA on DGTRS-CLIP: 147K
-#   - TextFusionMLP (shared): ~3.4M
-#   - GatedFusion gates + tau: 3 scalars
-#
-# StripNet pretrained on ImageNet-1K (head dropped); state-dict naming follows
-# upstream Strip-R-CNN repo (`conv_spatial1/2`).
-
-include 'conf/gtauav_balanced.gin'
-
-# ---- Backbone ----
-TrainConfigGTAUAV.backbone = "stripnet"
-TrainConfigGTAUAV.stripnet_path = "nn_models/STRIPNET/stripnet_s.pth"
-TrainConfigGTAUAV.stripnet_mona_last_n_stages = 2  # Conv-MONA in stages 3 & 4 (deepest)
-
-# ---- Model overrides ----
-TrainConfigGTAUAV.shared_encoder = True   # StripNet always shared (one CNN for both branches)
-TrainConfigGTAUAV.mona_bottleneck = 64    # Conv-MONA bottleneck channels
-
-# ---- Output ----
-TrainConfigGTAUAV.output_dir = "out/gtauav/with_text_stripnet"
diff --git a/conf/gtauav_balanced_stripnet_unfrozen.gin b/conf/gtauav_balanced_stripnet_unfrozen.gin
deleted file mode 100644
index 5e3a79e..0000000
--- a/conf/gtauav_balanced_stripnet_unfrozen.gin
+++ /dev/null
@@ -1,17 +0,0 @@
-# GTA-UAV Balanced (StripNet, fully unfrozen): all StripNet layers trainable.
-# Backbone trains with reduced LR (lr * stripnet_backbone_lr_factor).
-# Conv-MONA disabled by default — full fine-tune supplies enough capacity.
-# Set stripnet_mona_last_n_stages > 0 if you want MONA + fine-tune hybrid.
-#
-# Note: StripNet uses BatchNorm. With small batch (8) and gradient accumulation,
-# BN running stats may drift. Watch validation loss for instability.
-
-include 'conf/gtauav_balanced_stripnet.gin'
-
-# ---- Unfreeze backbone ----
-TrainConfigGTAUAV.stripnet_freeze = False
-TrainConfigGTAUAV.stripnet_mona_last_n_stages = 0  # disable Conv-MONA (full fine-tune handles adaptation)
-TrainConfigGTAUAV.stripnet_backbone_lr_factor = 0.1  # backbone lr = 1e-4 * 0.1 = 1e-5
-
-# ---- Output ----
-TrainConfigGTAUAV.output_dir = "out/gtauav/with_text_stripnet_unfrozen"
diff --git a/conf/gtauav_baseline.gin b/conf/gtauav_baseline.gin
deleted file mode 100644
index 7646f1b..0000000
--- a/conf/gtauav_baseline.gin
+++ /dev/null
@@ -1,28 +0,0 @@
-# GTA-UAV Baseline: no text fusion (gate forced to 1.0).
-# query = drone_only -> InfoNCE vs satellite
-# Reference R@1 for delta computation.
-#
-# Diagnostic mode (2026-04-24): DSS and hard-negative mining disabled after
-# the previous run collapsed (R@1 = 0.6% at epoch 8, train loss growing).
-# Hypothesis: DSS packs visually-identical drones at bs=8 and the hard-mining
-# queue amplifies that hardness — together they prevent convergence from a
-# nearly-random start. Run with mutex-only sampling and the full queue as
-# uniform negatives first, restore the extras incrementally once baseline
-# converges.
-
-include 'conf/gtauav_balanced.gin'
-
-TrainConfigGTAUAV.baseline_mode = True
-TrainConfigGTAUAV.output_dir = "out/gtauav/baseline_inbatch"
-TrainConfigGTAUAV.use_gradcam = False
-
-# ---- Diagnostic overrides ----
-# Previous mutex-only run still collapsed at epoch 1 (val loss locked at log(8)).
-# Hypothesis refined: the MoCo-style queue stays stale because we have no
-# momentum encoder, and with reduced trainable surface (MONA-12) the model
-# can't reconcile fresh representations against 4096 stale negatives —
-# mode collapse. Disable the queue entirely so InfoNCE sees only the 8
-# fresh in-batch negatives, matching the OLD run's effective setup.
-TrainConfigGTAUAV.sampler_type = "mutex"  # was "dss"
-TrainConfigGTAUAV.neg_bank_size = 0  # was 4096 — disable MoCo queue (no momentum encoder)
-InfoNCELoss.hard_mining_k = 0  # was 512 — irrelevant when queue is empty
diff --git a/conf/gtauav_baseline_asym.gin b/conf/gtauav_baseline_asym.gin
deleted file mode 100644
index c5ddd36..0000000
--- a/conf/gtauav_baseline_asym.gin
+++ /dev/null
@@ -1,9 +0,0 @@
-# GTA-UAV Baseline (asymmetric, full MONA): no text fusion (gate forced to 1.0).
-# WEB drone encoder + SAT satellite encoder, MONA in all 24 ViT blocks.
-# Reference R@1 for delta computation against gtauav_balanced_asym.gin.
-
-include 'conf/gtauav_balanced_asym.gin'
-
-TrainConfigGTAUAV.baseline_mode = True
-TrainConfigGTAUAV.output_dir = "out/gtauav/baseline_asym"
-TrainConfigGTAUAV.use_gradcam = False
diff --git a/conf/gtauav_baseline_sofia.gin b/conf/gtauav_baseline_sofia.gin
deleted file mode 100644
index 492a092..0000000
--- a/conf/gtauav_baseline_sofia.gin
+++ /dev/null
@@ -1,13 +0,0 @@
-# GTA-UAV Baseline (SOFIA-Tiny backbone): no text fusion. Reference R@1 для
-# computing Δ R@1 vs gtauav_balanced_sofia.gin.
-#
-# В baseline_mode=True:
-#   - Text-FiLM отключается (SOFIA heads работают только с altitude).
-#   - DGTRS-CLIP не загружается, TextFusionMLP не строится.
-#   - GatedFusion gates = 1.0 (text игнорируется).
-
-include 'conf/gtauav_balanced_sofia.gin'
-
-TrainConfigGTAUAV.baseline_mode = True
-TrainConfigGTAUAV.output_dir = "out/gtauav/baseline_sofia"
-TrainConfigGTAUAV.use_gradcam = False
diff --git a/conf/gtauav_baseline_sofia_v1.gin b/conf/gtauav_baseline_sofia_v1.gin
deleted file mode 100644
index 26478df..0000000
--- a/conf/gtauav_baseline_sofia_v1.gin
+++ /dev/null
@@ -1,8 +0,0 @@
-# GTA-UAV Baseline (SOFIA v1 backbone): no text fusion. Reference R@1 для
-# computing Δ R@1 vs gtauav_balanced_sofia_v1.gin.
-
-include 'conf/gtauav_balanced_sofia_v1.gin'
-
-TrainConfigGTAUAV.baseline_mode = True
-TrainConfigGTAUAV.output_dir = "out/gtauav/baseline_sofia_v1"
-TrainConfigGTAUAV.use_gradcam = False
diff --git a/conf/gtauav_baseline_stripnet.gin b/conf/gtauav_baseline_stripnet.gin
deleted file mode 100644
index 1974fa1..0000000
--- a/conf/gtauav_baseline_stripnet.gin
+++ /dev/null
@@ -1,8 +0,0 @@
-# GTA-UAV Baseline (StripNet backbone): no text fusion. Reference R@1 for
-# computing Δ R@1 against gtauav_balanced_stripnet.gin.
-
-include 'conf/gtauav_balanced_stripnet.gin'
-
-TrainConfigGTAUAV.baseline_mode = True
-TrainConfigGTAUAV.output_dir = "out/gtauav/baseline_stripnet"
-TrainConfigGTAUAV.use_gradcam = False
diff --git a/conf/gtauav_baseline_stripnet_unfrozen.gin b/conf/gtauav_baseline_stripnet_unfrozen.gin
deleted file mode 100644
index 8d7df74..0000000
--- a/conf/gtauav_baseline_stripnet_unfrozen.gin
+++ /dev/null
@@ -1,8 +0,0 @@
-# GTA-UAV Baseline (StripNet, fully unfrozen): no text fusion. For Δ R@1
-# against gtauav_balanced_stripnet_unfrozen.gin.
-
-include 'conf/gtauav_balanced_stripnet_unfrozen.gin'
-
-TrainConfigGTAUAV.baseline_mode = True
-TrainConfigGTAUAV.output_dir = "out/gtauav/baseline_stripnet_unfrozen"
-TrainConfigGTAUAV.use_gradcam = False
diff --git a/conf/gtauav_image_heavy.gin b/conf/gtauav_image_heavy.gin
deleted file mode 100644
index 93bb699..0000000
--- a/conf/gtauav_image_heavy.gin
+++ /dev/null
@@ -1,8 +0,0 @@
-# GTA-UAV Image-heavy: gate initialized high (more image weight).
-# query = sigma(0.9) * drone + 0.1 * text
-# Minimal text contribution test.
-
-include 'conf/gtauav_balanced.gin'
-
-TrainConfigGTAUAV.init_gate = 0.9
-TrainConfigGTAUAV.output_dir = "out/gtauav/image_heavy"
diff --git a/conf/gtauav_text_heavy.gin b/conf/gtauav_text_heavy.gin
deleted file mode 100644
index 3791b59..0000000
--- a/conf/gtauav_text_heavy.gin
+++ /dev/null
@@ -1,8 +0,0 @@
-# GTA-UAV Text-heavy: gate initialized low (more text weight).
-# query = sigma(0.3) * drone + 0.7 * text
-# Stress test for text contribution.
-
-include 'conf/gtauav_balanced.gin'
-
-TrainConfigGTAUAV.init_gate = 0.3
-TrainConfigGTAUAV.output_dir = "out/gtauav/text_heavy"
diff --git a/conf/text_heavy.gin b/conf/text_heavy.gin
deleted file mode 100644
index c6e5daf..0000000
--- a/conf/text_heavy.gin
+++ /dev/null
@@ -1,9 +0,0 @@
-# Text-heavy: gate initialized low (more text weight).
-# query = sigma(0.3) * drone + 0.7 * text
-
-include 'balanced.gin'
-
-DualEncoderCaptionTest.init_gate = 0.3
-GatedFusion.init_gate = 0.3
-
-TrainConfig.output_dir = "out/caption_test/text_heavy"