Add c3-3/cosine_2e-4_to5e-5_clip5/packed_temporal_grid/iter_000006000 (milestone, cosine 2e-4 -> 5e-5) (INDEX.json, post-verification)

INDEX.json

@@ -1,5 +1,5 @@
 {
-  "checkpoint_count": 26,
+  "checkpoint_count": 27,
   "checkpoints": [
     {
       "repo_path": "c1-1/packed_temporal_grid/iter_000003625",
@@ -204,6 +204,31 @@
       "grad_clip": true,
       "clip_norm": 5.0
     },
+    {
+      "repo_path": "c3-3/cosine_2e-4_to5e-5_clip5/packed_temporal_grid/iter_000006000",
+      "model_family": "c3-3",
+      "memory_rope_mode": "packed_temporal_grid",
+      "optimizer_step": 6000,
+      "sample_exposure": 48000,
+      "wandb_run_id": "4jresx1i",
+      "code_commit": "44f4c8b11f671e811f896539c5faa96db77a078d",
+      "dataset_manifest_sha256": "488feab621a47d5f5b77e1fb6547b24d64912cba66b7d6cababa53c1d4c8dd78",
+      "variant": "cosine_2e-4_to5e-5_clip5",
+      "lr_schedule": {
+        "cosine_min_factor": 0.25,
+        "cycle_length_steps": 10000,
+        "f_max": 1.0,
+        "f_start": 1e-06,
+        "final_lr": 5e-05,
+        "peak_lr": 0.0002,
+        "scheduler_target": "rcm.utils.lr_scheduler.LambdaWarmUpCosineScheduler",
+        "type": "cosine",
+        "warmup_steps": 100
+      },
+      "optimizer_lr": 0.0002,
+      "grad_clip": true,
+      "clip_norm": 5.0
+    },
     {
       "repo_path": "c3-3/cosine_2e-4_to5e-5_clip5/source_aligned/iter_000001000",
       "model_family": "c3-3",