fingerprint dict | verifier dict | outcome dict | ok bool 1
class |
|---|---|---|---|
{
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"bestLoss": 5.494801769145852e-8,... | true |
{
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} | {
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"finalLoss": 0,
"bestLoss": 0,
"aucLoss": 1.26089,
"steps": 125,
"converged": true
} | true |
{
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{
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{
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{
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{
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{
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{
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} | true |
{
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{
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"bestLoss": 7.404008783851168e-7,... | true |
{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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0,
0
],
"finalLoss": 0,
"bestLoss": 0,
"aucLoss": 1.22961,
"steps": 125,
"converged": true
} | true |
{
"taskId": "gen-cnn-72",
"family": "cnn",
"params": 36558,
"components": 7
} | {
"score": 80,
"blockers": []
} | {
"curve": [
4.00789,
3.69896,
3.65193,
3.63555,
3.59976,
3.49559,
3.31796,
3.19002,
3.11853,
3.06493,
3.01499,
2.96176,
2.89898,
2.82832,
2.75129,
2.67171,
2.58343,
2.49324,
2.40158,
2.30976,
2.2147,
2.12111,
2.03066,
1.9... | true |
{
"taskId": "gen-txf-73",
"family": "txf",
"params": 5340720,
"components": 7
} | {
"score": 65,
"blockers": []
} | {
"curve": [
1.0873,
0.11421,
0.00004,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
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0,
0,
0,
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0,
0,
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0,
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0,
0,
0,
0,
0,
0,
0,
0,
0
],
"finalLoss": 0,
"bestLoss": 2.9802313505911115e-8... | true |
{
"taskId": "gen-gqa-74",
"family": "gqa",
"params": 15860416,
"components": 8
} | {
"score": 77,
"blockers": []
} | {
"curve": [
3.11149,
0.00572,
0.00184,
0.00121,
0.00094,
0.00078,
0.00065,
0.00056,
0.00049,
0.00043,
0.00038,
0.00034,
0.00031,
0.00028,
0.00026,
0.00024,
0.00022,
0.0002,
0.00019,
0.00017,
0.00016,
0.00015,
0.00014,
0.0... | true |
{
"taskId": "gen-fix-75",
"family": "fix",
"params": 2840112,
"components": 5
} | {
"score": 60,
"blockers": []
} | {
"curve": [
4.58943,
3.75028,
1.43697,
0.00385,
0.0005,
0.00034,
0.00029,
0.00026,
0.00023,
0.0002,
0.00018,
0.00016,
0.00015,
0.00014,
0.00013,
0.00012,
0.00011,
0.0001,
0.00009,
0.00009,
0.00008,
0.00007,
0.00007,
0.000... | true |
{
"taskId": "gen-trim-76",
"family": "trim",
"params": 138226,
"components": 9
} | {
"score": 84,
"blockers": []
} | {
"curve": [
3.03985,
0.42964,
0.00065,
0.00009,
0.00005,
0.00005,
0.00004,
0.00004,
0.00004,
0.00003,
0.00003,
0.00003,
0.00003,
0.00003,
0.00002,
0.00002,
0.00002,
0.00002,
0.00002
],
"finalLoss": 0.00002,
"bestLoss": 0.00002000351560... | true |
{
"taskId": "gen-norm-77",
"family": "norm",
"params": 217586,
"components": 18
} | {
"score": 100,
"blockers": []
} | {
"curve": [
4.03784,
1.17478,
0.32421,
0.11001,
0.05736,
0.03722,
0.02673,
0.02028,
0.016,
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0.01079,
0.00914,
0.00786,
0.00684,
0.00602,
0.00533,
0.00477,
0.00429,
0.00388,
0.00354,
0.00323,
0.00297,
0.00274,
0.00... | true |
{
"taskId": "gen-tower-78",
"family": "tower",
"params": 245430,
"components": 11
} | {
"score": 88,
"blockers": []
} | {
"curve": [
1.02823,
0.00834,
0.00109,
0.00011,
0.00001,
0,
0,
0,
0,
0,
0
],
"finalLoss": 0,
"bestLoss": 8.34943225669349e-13,
"aucLoss": 0.09434,
"steps": 250,
"converged": true
} | true |
{
"taskId": "gen-grow-79",
"family": "grow",
"params": 520927,
"components": 7
} | {
"score": 80,
"blockers": []
} | {
"curve": [
1.95591,
0.00027,
0.00001,
0.00001,
0.00001,
0.00001,
0.00001,
0.00001,
0.00001,
0.00001,
0.00001,
0.00001,
0.00001,
0.00001,
0.00001,
0.00001,
0.00001,
0.00001,
0.00001,
0.00001,
0,
0,
0,
0,
0,
0,
... | true |
Structure, verdict and trained outcome triples
The corpus that pairs what a design looks like with what it did. Each row carries a structural fingerprint of a graph (task family, parameter count, component count), the static verifier verdict on it (score and blockers), and the outcome of actually training it: the full loss curve, best and final loss, area under the loss curve, step count, and whether it converged. Every graph was trained through the same managed-GPU path the product uses, so the outcome is measured rather than simulated.
- Size: 80 trained graphs
- Licence: MIT License
- Canonical page: https://neurarch.com/d/outcome-triples.html
- Longer write-up: https://github.com/neurarch-ai/neurarch-arch-bench/blob/main/VERIFICATION.md
Fields
- task family
- parameter count
- component count
- verifier score
- blockers
- loss curve
- best loss
- final loss
- steps
- converged
What this dataset is not
n is 80, and the headline finding is negative: across families the correlation between verifier score and achievable quality is about zero (rho -0.02), undefined inside four families whose graphs score identically, and positive only where the score varies. It is published because that is the result. The verifier tells you whether a graph runs, not how good it will get, and this is the file that shows it.
Verify a design of your own
These rows describe neural network graphs that were checked by a deterministic verifier, and the same verifier is callable:
curl -X POST https://www.neurarch.com/api/v1/check \
-H "Authorization: Bearer $NEURARCH_API_KEY" \
-H "Content-Type: application/json" \
-d @graph.json
Cite
Neurarch. Structure, verdict and trained outcome triples. https://neurarch.com/d/outcome-triples.html
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