Training update: run 623, 500 iters, cache_key=ci

README.md

@@ -25,10 +25,10 @@ capabilities inspired by cognitive science and AGI research.
 
 ## Training Details
 
-- **Checkpoint ID**: ckpt_20260929_073541_4500_46032ab3_9470fbb7
+- **Checkpoint ID**: ckpt_20260929_133830_4500_46032ab3_9470fbb7
 - **Training Iteration**: 4500
-- **Validation Loss**: 0.0008296263903321233
-- **Quality Score**: 691200.7820484216
+- **Validation Loss**: 0.0007253726606722921
+- **Quality Score**: 691200.7819439275
 
 ## Echo Self Features
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ba132bba57687ca8e08528fc75f85a17b9cc23b94f136ec34b39592b1f643971
+oid sha256:85d16698429af194ff0f3d0fcad1c085604b1920b2acf7ed357fddaf06604a41
 size 51464851

training_metadata.json

@@ -1,10 +1,10 @@
 {
-  "checkpoint_id": "ckpt_20260929_073541_4500_46032ab3_9470fbb7",
-  "created_at": "2026-09-29T07:35:41.612824",
+  "checkpoint_id": "ckpt_20260929_133830_4500_46032ab3_9470fbb7",
+  "created_at": "2026-09-29T13:38:30.473843",
   "iteration": 4500,
   "epoch": 0,
   "train_loss": 0.0,
-  "val_loss": 0.0008296263903321233,
+  "val_loss": 0.0007253726606722921,
   "learning_rate": 0.000125972,
   "model_config": {
     "n_layer": 4,
@@ -40,10 +40,10 @@
     "block_size": 1024
   },
   "metrics": {
-    "val_loss": 0.0008296263903321233,
+    "val_loss": 0.0007253726606722921,
     "connection_ratio": 1.0,
     "tokens_processed": 9216000,
-    "training_speed_iters_per_sec": 0.10088609004150703
+    "training_speed_iters_per_sec": 0.09862556710972799
   },
   "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": 691200.7820484216
+  "quality_score": 691200.7819439275
 }