d1a-e2b-coreml / d1a_config.json
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d1a_config.json: byte-identical to JohnP1/d1a-e2b-mlx-q8@v0.6's (source JohnP1/d1a-e2b@5517e821)
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{
"format": "d1a-mlx",
"format_version": 1,
"base": "google/gemma-4-E2B",
"base_revision": "d29ff6b45f081a49ee2733a859c9c9c2d95d1a6f",
"source": "JohnP1/d1a-e2b",
"source_revision": "5517e8213504de567175e0b644b9c674c91af771",
"adapter_sha256": "247f222314c8ceee158140d38a0be1c304da81719034ef6e71ee02506e334c1b",
"lora": 16,
"head_dim": 256,
"hidden_size": 1536,
"temperature": 1.447269237440378,
"leading_ids": [
2
],
"bos_id": 2,
"delimiter_ids": [
6,
7,
8,
9,
10
],
"pad_id": 0,
"dtype": "bfloat16",
"quantization": {
"group_size": 64,
"bits": 8,
"mode": "affine",
"language_model.model.embed_tokens_per_layer": {
"group_size": 64,
"bits": 4,
"mode": "affine"
},
"embeddings": true
},
"head": "head.safetensors",
"temperature_fit": {
"rows": [
"cal/rows.json",
"calpr/rows.json"
],
"n": 3178,
"method": "min micro mean NLL over a 121-point log grid 0.25..4",
"cross_validation": {
"raw": {
"n": 3178,
"ece": 0.0505561988092814,
"brier": 0.2952905648331223,
"nll": 0.5648973549274169,
"confident_error_rate": 0.02957835116425425,
"coverage_at_5pct_error": 0.5613593455003146
},
"out_of_fold": {
"n": 3178,
"ece": 0.023704548579686884,
"brier": 0.2896952220920997,
"nll": 0.5324486179012022,
"confident_error_rate": 0.017935808684707365,
"coverage_at_5pct_error": 0.5556954059156702
},
"ece_ci95": {
"raw": [
0.04102750015575881,
0.06377306530700594
],
"out_of_fold": [
0.016511069955034523,
0.03860363764230206
],
"delta": [
-0.04016350379193325,
-0.010727297381358629
]
},
"separated": true,
"temperatures": [
1.447269237440378,
1.447269237440378,
1.4142135623730947,
1.4810975522865641,
1.447269237440378
],
"folds": 5,
"seed": 0,
"samples": 1000,
"groups": 1670,
"unit": "source-stratified (source, group); sibling questions and variants stay together"
},
"interval": {
"level": 0.9,
"samples": 2000,
"seed": 0,
"lower": 1.381912879967776,
"upper": 1.5157165665103978,
"questions": 3178
},
"fit_rows": [
{
"rows": "cal/rows.json",
"suite": "evals/v7/decision-v7",
"split": "calibration",
"questions": 1148
},
{
"rows": "calpr/rows.json",
"suite": "evals/d1a/pr-labels",
"split": "development",
"questions": 2030
}
],
"training_suites": [
"evals/devtools-v1",
"evals/documents-v1",
"evals/hard-v1",
"evals/v7/decision-v7"
],
"training_partitions": [
"evals/d1a/ja-jglue:train",
"evals/d1a/pr-labels:train",
"evals/d1a/pr-labels:train-blast",
"evals/d1a/pr-labels:train-ja",
"evals/d1a/routing:factory-train",
"evals/d1a/routing:generic-train"
],
"same_corpus": [
"calpr/rows.json: SAME CORPUS: evals/d1a/pr-labels:development is an eval partition of evals/d1a/pr-labels, whose train partitions ['evals/d1a/pr-labels:train', 'evals/d1a/pr-labels:train-blast', 'evals/d1a/pr-labels:train-ja'] the checkpoint trained on"
],
"in_distribution": {
"allowed": true,
"problems": [
"cal/rows.json: evals/v7/decision-v7 is training data of the checkpoint",
"cal/rows.json: it pools 12 training source(s) ['agnews', 'amazon', 'banking77', 'boolq', 'compositional', 'dbpedia14', 'imdb', 'legacy_policy'] ...",
"cal/rows.json: it reads the calibration partition of evals/v7/decision-v7, a training corpus",
"calpr/rows.json: SAME CORPUS: evals/d1a/pr-labels:development is an eval partition of evals/d1a/pr-labels, whose train partitions ['evals/d1a/pr-labels:train', 'evals/d1a/pr-labels:train-blast', 'evals/d1a/pr-labels:train-ja'] the checkpoint trained on",
"cannot list the sources of --data data/train-e2b-v06.jsonl (outside evals/, no sidecar train-e2b-v06.jsonl.json naming its sources), training data of d1"
]
}
},
"use_case_temperatures": {},
"use_case_temperature_fits": {}
}