Training update: run 619, 500 iters, cache_key=ci

README.md

@@ -25,10 +25,10 @@ capabilities inspired by cognitive science and AGI research.
 
 ## Training Details
 
-- **Checkpoint ID**: ckpt_20260928_072108_4500_46032ab3_9470fbb7
+- **Checkpoint ID**: ckpt_20260928_135639_4500_46032ab3_9470fbb7
 - **Training Iteration**: 4500
-- **Validation Loss**: 0.00046221379714552315
-- **Quality Score**: 691200.7843245545
+- **Validation Loss**: 0.0008237042657856364
+- **Quality Score**: 691200.7803417755
 
 ## Echo Self Features
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:72985b2ca174ed4f6c3923e9db4779a19f9ac2cbe3b6a5fefebfe7ae8ddaaaf3
+oid sha256:b851fff9104a15e0a97123ede10f0778fcf67e9b1291b79567dd60809c0ac844
 size 51464851

training_metadata.json

@@ -1,10 +1,10 @@
 {
-  "checkpoint_id": "ckpt_20260928_072108_4500_46032ab3_9470fbb7",
-  "created_at": "2026-09-28T07:21:08.432761",
+  "checkpoint_id": "ckpt_20260928_135639_4500_46032ab3_9470fbb7",
+  "created_at": "2026-09-28T13:56:39.673469",
   "iteration": 4500,
   "epoch": 0,
   "train_loss": 0.0,
-  "val_loss": 0.00046221379714552315,
+  "val_loss": 0.0008237042657856364,
   "learning_rate": 0.000125972,
   "model_config": {
     "n_layer": 4,
@@ -40,10 +40,10 @@
     "block_size": 1024
   },
   "metrics": {
-    "val_loss": 0.00046221379714552315,
+    "val_loss": 0.0008237042657856364,
     "connection_ratio": 1.0,
     "tokens_processed": 9216000,
-    "training_speed_iters_per_sec": 0.12817718207816212
+    "training_speed_iters_per_sec": 0.07808154834425551
   },
   "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": 691200.7843245545
+  "quality_score": 691200.7803417755
 }