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Update docs: training improvements (learnable temp, augmentations, warmup)

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Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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pikaliov
2026-04-21 18:08:06 +03:00
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@@ -22,6 +22,7 @@ Loss: InfoNCE(query, gallery)
- Total: 733M params, 10.9M trainable (1.49%)
**Input:** 256x256, ImageNet normalization
**Training:** learnable temperature (CLIP logit_scale), per-group LR (proj 1e-4 / text 1e-5), warmup 2 epochs + cosine, augmentations (drone: crop+flip+rot+jitter+blur, sat: crop+flip+jitter)
**Dataset:** GTA-UAV-LR (33K drone + 14K satellite, GTA V synthetic)
- RGB: `/home/servml/Документы/datasets/GTA-UAV-LR/`