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b41dbdb
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1 Parent(s): 72840d0

Training update: run 414, 500 iters, cache_key=ci

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Files changed (3) hide show
  1. README.md +4 -4
  2. pytorch_model.bin +1 -1
  3. training_metadata.json +12 -12
README.md CHANGED
@@ -25,10 +25,10 @@ capabilities inspired by cognitive science and AGI research.
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  ## Training Details
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- - **Checkpoint ID**: ckpt_20260508_034940_1000_22deff1b_9470fbb7
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- - **Training Iteration**: 1000
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- - **Validation Loss**: 3.099029417037964
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- - **Quality Score**: 153600.45060825392
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  ## Echo Self Features
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  ## Training Details
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+ - **Checkpoint ID**: ckpt_20260508_085922_1500_22deff1b_9470fbb7
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+ - **Training Iteration**: 1500
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+ - **Validation Loss**: 1.761123480796814
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+ - **Quality Score**: 230400.4517790843
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  ## Echo Self Features
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pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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- oid sha256:5f436ad872e9619853bd6a5d7cb300ed76a7213e3457c3e5e2e8ff584572366f
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  size 51464851
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:be13b59eaab403db01f72d6dba10bd33ac2eba0b9e33c6e0b374ddd791d79651
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  size 51464851
training_metadata.json CHANGED
@@ -1,11 +1,11 @@
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  {
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- "checkpoint_id": "ckpt_20260508_034940_1000_22deff1b_9470fbb7",
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- "created_at": "2026-05-08T03:49:40.528841",
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- "iteration": 1000,
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  "epoch": 0,
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  "train_loss": 0.0,
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- "val_loss": 3.099029417037964,
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- "learning_rate": 2.7972e-05,
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  "model_config": {
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  "n_layer": 4,
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  "n_head": 4,
@@ -36,20 +36,20 @@
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  "block_size": 1024
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  },
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  "metrics": {
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- "val_loss": 3.099029417037964,
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- "connection_ratio": 0.5499999999999999,
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- "tokens_processed": 2048000,
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- "training_speed_iters_per_sec": 0.08211885182760043
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  },
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  "tags": [
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  "phase_adaptive_mastery",
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- "medium_quality",
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  "nanecho",
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  "curriculum",
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  "introspection"
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  ],
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  "parent_checkpoint": null,
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- "notes": "Training checkpoint at iteration 1000 (resumed from iteration 500) | Phase: adaptive_mastery",
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  "file_size_mb": 249.29106044769287,
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- "quality_score": 153600.45060825392
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  }
 
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  {
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+ "checkpoint_id": "ckpt_20260508_085922_1500_22deff1b_9470fbb7",
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+ "created_at": "2026-05-08T08:59:22.543591",
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+ "iteration": 1500,
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  "epoch": 0,
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  "train_loss": 0.0,
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+ "val_loss": 1.761123480796814,
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+ "learning_rate": 4.1972e-05,
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  "model_config": {
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  "n_layer": 4,
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  "n_head": 4,
 
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  "block_size": 1024
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  },
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  "metrics": {
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+ "val_loss": 1.761123480796814,
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+ "connection_ratio": 0.8000000000000002,
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+ "tokens_processed": 3072000,
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+ "training_speed_iters_per_sec": 0.08233109619293305
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  },
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  "tags": [
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  "phase_adaptive_mastery",
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+ "high_quality",
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  "nanecho",
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  "curriculum",
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  "introspection"
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  ],
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  "parent_checkpoint": null,
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+ "notes": "Training checkpoint at iteration 1500 (resumed from iteration 1000) | Phase: adaptive_mastery",
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  "file_size_mb": 249.29106044769287,
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+ "quality_score": 230400.4517790843
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  }