mirror of
https://github.com/mcloh/decision-models-benchmark.git
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Calibração e congelamento da configuração (tarefas 60–62)
- config/calibration.json: temperatura e limiar de abstenção por candidato e dispositivo, ajustados só na partição de calibração. - config/frozen.json: hashes de configuração, calibração, partições, adaptadores, contrato e ambientes; libera a partição de teste. - Q6: lote de produção = 1; tarefa 65 não se aplica neste ciclo (D4). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
14
reports/calibration/README.md
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14
reports/calibration/README.md
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# Resultados — partição `calibration`
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Gerado por `infra/ds/collect.py`. Lote 1; latências sem os exemplos de aquecimento; probabilidades sem calibração.
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<!-- TABELA:INICIO -->
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| Candidato | Disp. | Precisão | n | Acurácia | Macro F1 | ECE (bruto) | p50 ms | p95 ms | p99 ms | Carga s | RAM pico MiB | GPU pico MiB | Erros | Truncados |
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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| gliner | cpu | float32 | 1127 | 54.5% | 54.2% | 0.077 | 257.1 | 493.9 | 601.4 | 20.1 | 3240 | — | 0 | 0 |
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| gliner | cuda | float32 | 1127 | 54.5% | 54.2% | 0.077 | 18.7 | 31.6 | 33.5 | 21.6 | 3252 | 1783 | 0 | 0 |
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| laya | cpu | float32 | 1127 | 50.5% | 52.9% | 0.330 | 162.6 | 209.8 | 269.9 | 9.3 | 2681 | — | 0 | 0 |
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| laya | cuda | float32 | 1127 | 50.8% | 53.3% | 0.326 | 21.5 | 22.8 | 24.0 | 9.9 | 2787 | 1811 | 0 | 0 |
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| rizzo_flow | cuda | gguf-q8_0 | 1127 | 83.3% | 86.5% | 0.058 | 112.3 | 179.3 | 183.5 | 5.3 | 4528 | 5115 | 0 | 0 |
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| semif | cuda | bfloat16 | 1127 | 85.8% | 88.1% | 0.055 | 117.2 | 184.2 | 186.8 | 7.9 | 9030 | 8513 | 0 | 0 |
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<!-- TABELA:FIM -->
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1127
reports/calibration/predictions-gliner-cpu.jsonl
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reports/calibration/predictions-gliner-cpu.jsonl
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reports/calibration/predictions-gliner-cuda.jsonl
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reports/calibration/predictions-gliner-cuda.jsonl
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1127
reports/calibration/predictions-laya-cpu.jsonl
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reports/calibration/predictions-laya-cpu.jsonl
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1127
reports/calibration/predictions-laya-cuda.jsonl
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1127
reports/calibration/predictions-laya-cuda.jsonl
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1127
reports/calibration/predictions-rizzo_flow-cuda.jsonl
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reports/calibration/predictions-rizzo_flow-cuda.jsonl
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reports/calibration/predictions-semif-cuda.jsonl
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1127
reports/calibration/predictions-semif-cuda.jsonl
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58
reports/calibration/summary-gliner-cpu.json
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58
reports/calibration/summary-gliner-cpu.json
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{
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"candidate": {
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"name": "gliner",
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"model_id": "gliner@a35a0cd3b7a0",
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"revision": "a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f",
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"adapter_version": "0.2.0",
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"device": "cpu",
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"context_limit": 4096,
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"probabilities_source": "native"
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},
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"precision": "float32",
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"device": "cpu",
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"split": "calibration",
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"examples": 1127,
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"seed": 20261007,
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"warmup": 5,
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"batch_size": 1,
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"state_budget_tokens": 512,
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"process_guard": "ok",
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"load_seconds": 20.09,
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"warmup_latency_ms": [
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305.3,
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321.6,
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329.3,
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504.9,
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161.4
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],
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"latency_ms": {
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"n": 1122,
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"p50": 257.1435335000558,
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"p95": 493.89709470000014,
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"p99": 601.4209299699689,
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"mean": 280.12477045187006
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},
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"errors": {},
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"truncated": 0,
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"with_diagnostics": 0,
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"operational_env": {},
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"state_tokens_max": 125,
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"rss_peak_mib": 3239.859375,
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"quality": {
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"n": 1127,
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"errors": 0,
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"accuracy": 0.5448092280390417,
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"macro_f1": 0.5418404701263009,
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"macro_precision": 0.6809469392064199,
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"macro_recall": 0.5329382759578066
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},
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"calibration_raw": {
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"brier": 0.6104995008128414,
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"nll": 1.3204663491307895,
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"ece": 0.07668260121420074
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},
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"oci": {
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"region": "us-chicago-1",
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"run_id": "20261007T212521Z-gliner-evaluate"
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}
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}
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60
reports/calibration/summary-gliner-cuda.json
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reports/calibration/summary-gliner-cuda.json
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{
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"candidate": {
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"name": "gliner",
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"model_id": "gliner@a35a0cd3b7a0",
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"revision": "a35a0cd3b7a0f00f2effc576f454cd48fa98aa5f",
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"adapter_version": "0.2.0",
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"device": "cuda",
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"context_limit": 4096,
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"probabilities_source": "native"
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},
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"precision": "float32",
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"device": "cuda",
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"split": "calibration",
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"examples": 1127,
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"seed": 20261007,
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"warmup": 5,
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"batch_size": 1,
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"state_budget_tokens": 512,
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"process_guard": "ok",
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"load_seconds": 21.56,
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"warmup_latency_ms": [
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224.3,
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114.1,
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104.7,
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271.6,
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18.6
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],
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"latency_ms": {
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"n": 1122,
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"p50": 18.674051499999678,
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"p95": 31.63386759999014,
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"p99": 33.51271131999595,
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"mean": 21.56757115775458
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},
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"errors": {},
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"truncated": 0,
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"with_diagnostics": 0,
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"operational_env": {},
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"state_tokens_max": 125,
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"rss_peak_mib": 3251.8671875,
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"gpu_mem_peak_mib": 1783.0,
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"gpu_util_mean_pct": 42.40659340659341,
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"quality": {
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"n": 1127,
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"errors": 0,
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"accuracy": 0.5448092280390417,
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"macro_f1": 0.5418404701263009,
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"macro_precision": 0.6809469392064199,
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"macro_recall": 0.5329382759578066
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},
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"calibration_raw": {
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"brier": 0.6104993145632631,
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"nll": 1.320465969739849,
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"ece": 0.07668256169926013
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},
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"oci": {
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"region": "sa-saopaulo-1",
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"run_id": "20261007T214834Z-gliner-evaluate"
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}
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}
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58
reports/calibration/summary-laya-cpu.json
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reports/calibration/summary-laya-cpu.json
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{
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"candidate": {
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"name": "laya",
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"model_id": "laya@1720e3e3357c",
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"revision": "1720e3e3357cfe1e281542e223f8273b0890ca34",
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"adapter_version": "0.2.0",
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"device": "cpu",
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"context_limit": 1024,
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"probabilities_source": "native"
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},
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"precision": "float32",
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"device": "cpu",
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"split": "calibration",
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"examples": 1127,
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"seed": 20261007,
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"warmup": 5,
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"batch_size": 1,
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"state_budget_tokens": 512,
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"process_guard": "ok",
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"load_seconds": 9.35,
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"warmup_latency_ms": [
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252.7,
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284.6,
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270.8,
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284.0,
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153.1
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],
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"latency_ms": {
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"n": 1122,
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"p50": 162.58618700001648,
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"p95": 209.81496149999828,
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"p99": 269.85545572001797,
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"mean": 156.04856365508033
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},
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"errors": {},
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"truncated": 0,
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"with_diagnostics": 0,
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"operational_env": {},
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"state_tokens_max": 100,
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"rss_peak_mib": 2681.41015625,
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"quality": {
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"n": 1127,
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"errors": 0,
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"accuracy": 0.5048802129547472,
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"macro_f1": 0.5293731376193379,
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"macro_precision": 0.5322309316552073,
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"macro_recall": 0.5716537982207718
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},
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"calibration_raw": {
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"brier": 0.7938067217353456,
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"nll": 2.800574273404074,
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"ece": 0.3295974367816615
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},
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"oci": {
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"region": "us-chicago-1",
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"run_id": "20261007T212448Z-laya-evaluate"
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}
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}
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60
reports/calibration/summary-laya-cuda.json
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reports/calibration/summary-laya-cuda.json
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{
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"candidate": {
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"name": "laya",
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"model_id": "laya@1720e3e3357c",
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"revision": "1720e3e3357cfe1e281542e223f8273b0890ca34",
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"adapter_version": "0.2.0",
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"device": "cuda",
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"context_limit": 1024,
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"probabilities_source": "native"
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},
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"precision": "float32",
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"device": "cuda",
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"split": "calibration",
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"examples": 1127,
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"seed": 20261007,
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"warmup": 5,
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"batch_size": 1,
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"state_budget_tokens": 512,
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"process_guard": "ok",
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"load_seconds": 9.86,
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"warmup_latency_ms": [
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262.3,
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24.2,
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23.0,
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23.0,
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28.0
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],
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"latency_ms": {
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"n": 1122,
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"p50": 21.54373249999253,
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"p95": 22.82198069998458,
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"p99": 23.95628751000088,
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"mean": 21.440272945632913
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},
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"errors": {},
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"truncated": 0,
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"with_diagnostics": 0,
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"operational_env": {},
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"state_tokens_max": 100,
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"rss_peak_mib": 2786.82421875,
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"gpu_mem_peak_mib": 1811.0,
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"gpu_util_mean_pct": 21.651515151515152,
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"quality": {
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"n": 1127,
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"errors": 0,
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"accuracy": 0.5075421472937001,
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"macro_f1": 0.5328213000411428,
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"macro_precision": 0.5349830494378608,
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"macro_recall": 0.5748388336100538
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},
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"calibration_raw": {
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"brier": 0.7921588792291862,
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"nll": 2.774820648363843,
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"ece": 0.32625944117099553
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},
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"oci": {
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"region": "sa-saopaulo-1",
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"run_id": "20261007T214316Z-laya-evaluate"
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}
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}
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60
reports/calibration/summary-rizzo_flow-cuda.json
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60
reports/calibration/summary-rizzo_flow-cuda.json
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{
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"candidate": {
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"name": "rizzo_flow",
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"model_id": "rizzo_flow@55633c8cbd2b",
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"revision": "55633c8cbd2b826bd3eefdeb05310450996649df",
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"adapter_version": "0.2.0",
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"device": "cuda",
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"context_limit": 2048,
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"probabilities_source": "native"
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},
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"precision": "gguf-q8_0",
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"device": "cuda",
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"split": "calibration",
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"examples": 1127,
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"seed": 20261007,
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"warmup": 5,
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"batch_size": 1,
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"state_budget_tokens": 512,
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"process_guard": "ok",
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"load_seconds": 5.27,
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"warmup_latency_ms": [
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136.3,
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142.9,
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153.5,
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173.8,
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76.4
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],
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"latency_ms": {
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"n": 1122,
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"p50": 112.3337810000038,
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"p95": 179.28425529999572,
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"p99": 183.46083652000314,
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"mean": 124.20437254812933
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},
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"errors": {},
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"truncated": 0,
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"with_diagnostics": 0,
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"operational_env": {},
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"state_tokens_max": 129,
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"rss_peak_mib": 4528.34375,
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"gpu_mem_peak_mib": 5115.0,
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"gpu_util_mean_pct": 73.34859154929578,
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"quality": {
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"n": 1127,
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"errors": 0,
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"accuracy": 0.8331854480922803,
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"macro_f1": 0.8652254669700142,
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"macro_precision": 0.8424194469837629,
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"macro_recall": 0.9124800045182142
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},
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"calibration_raw": {
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"brier": 0.25364558210635535,
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"nll": 0.5446881448991246,
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"ece": 0.057692546501372156
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},
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"oci": {
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"region": "sa-saopaulo-1",
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"run_id": "20261007T213634Z-rizzo_flow-evaluate"
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}
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}
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60
reports/calibration/summary-semif-cuda.json
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60
reports/calibration/summary-semif-cuda.json
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{
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"candidate": {
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"name": "semif",
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"model_id": "semif@851bf6e806ef",
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"revision": "851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a",
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"adapter_version": "0.2.0",
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"device": "cuda",
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"context_limit": 8192,
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"probabilities_source": "native"
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},
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"precision": "bfloat16",
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"device": "cuda",
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"split": "calibration",
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"examples": 1127,
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"seed": 20261007,
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"warmup": 5,
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"batch_size": 1,
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"state_budget_tokens": 512,
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"process_guard": "ok",
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"load_seconds": 7.9,
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"warmup_latency_ms": [
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436.0,
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138.5,
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142.0,
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178.2,
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76.3
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],
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"latency_ms": {
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"n": 1122,
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"p50": 117.22612299996626,
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"p95": 184.17156100000938,
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"p99": 186.84284949001267,
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"mean": 125.846100245989
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},
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"errors": {},
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"truncated": 0,
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"with_diagnostics": 0,
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"operational_env": {},
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"state_tokens_max": 101,
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"rss_peak_mib": 9030.08203125,
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"gpu_mem_peak_mib": 8513.0,
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"gpu_util_mean_pct": 87.37113402061856,
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"quality": {
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"n": 1127,
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"errors": 0,
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"accuracy": 0.8580301685891748,
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"macro_f1": 0.8813620791280374,
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"macro_precision": 0.8798441924161988,
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"macro_recall": 0.8952594286017203
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},
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"calibration_raw": {
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"brier": 0.2230350259655119,
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"nll": 0.47760006324176385,
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"ece": 0.05521030938135974
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},
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"oci": {
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"region": "sa-saopaulo-1",
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"run_id": "20261007T212831Z-semif-evaluate"
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}
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}
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