Training update: run 640, 500 iters, cache_key=ci

README.md

@@ -25,10 +25,10 @@ capabilities inspired by cognitive science and AGI research.
 
 ## Training Details
 
-- **Checkpoint ID**: ckpt_20261003_151633_4500_46032ab3_9470fbb7
+- **Checkpoint ID**: ckpt_20261003_202331_4500_46032ab3_9470fbb7
 - **Training Iteration**: 4500
-- **Validation Loss**: 0.0007157876864948776
-- **Quality Score**: 691200.7806028979
+- **Validation Loss**: 0.000537978325446602
+- **Quality Score**: 691200.7806327058
 
 ## Echo Self Features
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:541865a98e9f92b25a79521365ace70550de6593a7e089d815939221a19e27a0
+oid sha256:526e9660dd2e7e7249ce2cc1bca30858d870e239d236741e05d974f88c1351f6
 size 51464851

training_metadata.json

@@ -1,10 +1,10 @@
 {
-  "checkpoint_id": "ckpt_20261003_151633_4500_46032ab3_9470fbb7",
-  "created_at": "2026-10-03T15:16:33.663414",
+  "checkpoint_id": "ckpt_20261003_202331_4500_46032ab3_9470fbb7",
+  "created_at": "2026-10-03T20:23:31.985930",
   "iteration": 4500,
   "epoch": 0,
   "train_loss": 0.0,
-  "val_loss": 0.0007157876864948776,
+  "val_loss": 0.000537978325446602,
   "learning_rate": 0.000125972,
   "model_config": {
     "n_layer": 4,
@@ -40,10 +40,10 @@
     "block_size": 1024
   },
   "metrics": {
-    "val_loss": 0.0007157876864948776,
+    "val_loss": 0.000537978325446602,
     "connection_ratio": 1.0,
     "tokens_processed": 9216000,
-    "training_speed_iters_per_sec": 0.08066542371847957
+    "training_speed_iters_per_sec": 0.07958319548911606
   },
   "tags": [
     "phase_adaptive_mastery",
@@ -55,5 +55,5 @@
   "parent_checkpoint": null,
   "notes": "Training checkpoint at iteration 4500 (resumed from iteration 4000) | Phase: adaptive_mastery",
   "file_size_mb": 277.65883922576904,
-  "quality_score": 691200.7806028979
+  "quality_score": 691200.7806327058
 }