Codette-Reasoning / data /results /observatory_metrics.json
Jonathan Harrison
Full Codette codebase sync — transparency release
74f2af5
[
{
"stage": "generate",
"adapter": "newton",
"timestamp": "2026-03-05T09:59:29.652376",
"pipeline_run": "2026-03-05T09:59:29.370043",
"status": "generated",
"examples": 3000,
"path": "datasets\\newton_reasoning.jsonl",
"time_seconds": 0.14399099349975586
},
{
"stage": "generate",
"adapter": "davinci",
"timestamp": "2026-03-05T09:59:29.739750",
"pipeline_run": "2026-03-05T09:59:29.370043",
"status": "generated",
"examples": 2500,
"path": "datasets\\davinci_reasoning.jsonl",
"time_seconds": 0.08529877662658691
},
{
"stage": "generate",
"adapter": "empathy",
"timestamp": "2026-03-05T09:59:29.836617",
"pipeline_run": "2026-03-05T09:59:29.370043",
"status": "generated",
"examples": 2500,
"path": "datasets\\empathy_reasoning.jsonl",
"time_seconds": 0.09464621543884277
},
{
"stage": "generate",
"adapter": "philosophy",
"timestamp": "2026-03-05T09:59:29.918561",
"pipeline_run": "2026-03-05T09:59:29.370043",
"status": "generated",
"examples": 2000,
"path": "datasets\\philosophy_reasoning.jsonl",
"time_seconds": 0.07988810539245605
},
{
"stage": "generate",
"adapter": "quantum",
"timestamp": "2026-03-05T09:59:29.996159",
"pipeline_run": "2026-03-05T09:59:29.370043",
"status": "generated",
"examples": 2000,
"path": "datasets\\quantum_reasoning.jsonl",
"time_seconds": 0.07599163055419922
},
{
"stage": "generate",
"adapter": "rcxi",
"timestamp": "2026-03-05T09:59:29.999193",
"pipeline_run": "2026-03-05T09:59:29.370043",
"status": "error",
"error": "Unknown adapter 'rcxi'. Available: ['newton', 'davinci', 'empathy', 'philosophy', 'quantum', 'consciousness', 'multi_perspective', 'systems_architecture']",
"time_seconds": 1.2636184692382812e-05
},
{
"stage": "generate",
"adapter": "multi_perspective",
"timestamp": "2026-03-05T09:59:30.084444",
"pipeline_run": "2026-03-05T09:59:29.370043",
"status": "generated",
"examples": 2500,
"path": "datasets\\multi_perspective_reasoning.jsonl",
"time_seconds": 0.08474349975585938
},
{
"stage": "generate",
"adapter": "systems",
"timestamp": "2026-03-05T09:59:30.086375",
"pipeline_run": "2026-03-05T09:59:29.370043",
"status": "error",
"error": "Unknown adapter 'systems'. Available: ['newton', 'davinci', 'empathy', 'philosophy', 'quantum', 'consciousness', 'multi_perspective', 'systems_architecture']",
"time_seconds": 7.700920104980469e-05
},
{
"stage": "validate",
"adapter": "newton",
"timestamp": "2026-03-05T09:59:30.116843",
"pipeline_run": "2026-03-05T09:59:29.370043",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "davinci",
"timestamp": "2026-03-05T09:59:30.143162",
"pipeline_run": "2026-03-05T09:59:29.370043",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "empathy",
"timestamp": "2026-03-05T09:59:30.169868",
"pipeline_run": "2026-03-05T09:59:29.370043",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "philosophy",
"timestamp": "2026-03-05T09:59:30.189936",
"pipeline_run": "2026-03-05T09:59:29.370043",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "quantum",
"timestamp": "2026-03-05T09:59:30.211516",
"pipeline_run": "2026-03-05T09:59:29.370043",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "rcxi",
"timestamp": "2026-03-05T09:59:30.419393",
"pipeline_run": "2026-03-05T09:59:29.370043",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "multi_perspective",
"timestamp": "2026-03-05T09:59:30.448159",
"pipeline_run": "2026-03-05T09:59:29.370043",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "systems",
"timestamp": "2026-03-05T09:59:30.536197",
"pipeline_run": "2026-03-05T09:59:29.370043",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "pipeline",
"adapter": null,
"timestamp": "2026-03-05T09:59:30.536215",
"pipeline_run": "2026-03-05T09:59:29.370043",
"total_time_seconds": 1.1649775505065918,
"stages_run": [
"generate",
"validate"
],
"adapters_processed": [
"newton",
"davinci",
"empathy",
"philosophy",
"quantum",
"rcxi",
"multi_perspective",
"systems"
]
},
{
"stage": "generate",
"adapter": "newton",
"timestamp": "2026-03-05T11:51:28.434928",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "generated",
"examples": 3000,
"path": "datasets\\newton_reasoning.jsonl",
"time_seconds": 0.27001118659973145
},
{
"stage": "generate",
"adapter": "davinci",
"timestamp": "2026-03-05T11:51:28.617787",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "generated",
"examples": 2500,
"path": "datasets\\davinci_reasoning.jsonl",
"time_seconds": 0.1797177791595459
},
{
"stage": "generate",
"adapter": "empathy",
"timestamp": "2026-03-05T11:51:29.141321",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "generated",
"examples": 2500,
"path": "datasets\\empathy_reasoning.jsonl",
"time_seconds": 0.5214910507202148
},
{
"stage": "generate",
"adapter": "philosophy",
"timestamp": "2026-03-05T11:51:29.481864",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "generated",
"examples": 2000,
"path": "datasets\\philosophy_reasoning.jsonl",
"time_seconds": 0.3383147716522217
},
{
"stage": "generate",
"adapter": "quantum",
"timestamp": "2026-03-05T11:51:29.603051",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "generated",
"examples": 2000,
"path": "datasets\\quantum_reasoning.jsonl",
"time_seconds": 0.1188662052154541
},
{
"stage": "generate",
"adapter": "rcxi",
"timestamp": "2026-03-05T11:51:29.605415",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "error",
"error": "Unknown adapter 'rcxi'. Available: ['newton', 'davinci', 'empathy', 'philosophy', 'quantum', 'consciousness', 'multi_perspective', 'systems_architecture']",
"time_seconds": 0.00037169456481933594
},
{
"stage": "generate",
"adapter": "multi_perspective",
"timestamp": "2026-03-05T11:51:29.782693",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "generated",
"examples": 2500,
"path": "datasets\\multi_perspective_reasoning.jsonl",
"time_seconds": 0.1757960319519043
},
{
"stage": "generate",
"adapter": "systems",
"timestamp": "2026-03-05T11:51:29.784873",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "error",
"error": "Unknown adapter 'systems'. Available: ['newton', 'davinci', 'empathy', 'philosophy', 'quantum', 'consciousness', 'multi_perspective', 'systems_architecture']",
"time_seconds": 0.0001933574676513672
},
{
"stage": "validate",
"adapter": "newton",
"timestamp": "2026-03-05T11:51:29.824900",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "davinci",
"timestamp": "2026-03-05T11:51:29.848739",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "empathy",
"timestamp": "2026-03-05T11:51:29.871486",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "philosophy",
"timestamp": "2026-03-05T11:51:29.891614",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "quantum",
"timestamp": "2026-03-05T11:51:29.912770",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "rcxi",
"timestamp": "2026-03-05T11:51:30.250030",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "multi_perspective",
"timestamp": "2026-03-05T11:51:30.395873",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "systems",
"timestamp": "2026-03-05T11:51:30.640363",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "forge",
"adapter": "newton",
"timestamp": "2026-03-05T11:51:35.785513",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "success",
"total_examples": 3000,
"enhanced_examples": 3000,
"time_seconds": 4.840914249420166
},
{
"stage": "forge",
"adapter": "davinci",
"timestamp": "2026-03-05T11:51:39.755366",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 3.9684011936187744
},
{
"stage": "forge",
"adapter": "empathy",
"timestamp": "2026-03-05T11:51:43.537347",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 3.7810404300689697
},
{
"stage": "forge",
"adapter": "philosophy",
"timestamp": "2026-03-05T11:51:46.472187",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 2.9335103034973145
},
{
"stage": "forge",
"adapter": "quantum",
"timestamp": "2026-03-05T11:51:49.616965",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 3.1435470581054688
},
{
"stage": "forge",
"adapter": "rcxi",
"timestamp": "2026-03-05T11:52:16.190421",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "success",
"total_examples": 3000,
"enhanced_examples": 3000,
"time_seconds": 26.571989059448242
},
{
"stage": "forge",
"adapter": "multi_perspective",
"timestamp": "2026-03-05T11:52:20.086114",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 3.8911640644073486
},
{
"stage": "forge",
"adapter": "systems",
"timestamp": "2026-03-05T11:52:26.526386",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 6.438694715499878
},
{
"stage": "train",
"adapter": "newton",
"timestamp": "2026-03-05T12:02:06.258372",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "error",
"error": "Data processing error: File Reconstruction Error: Internal Writer Error: Failed to send data: receiver dropped",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 553.0783569812775
},
{
"stage": "train",
"adapter": "davinci",
"timestamp": "2026-03-05T12:06:08.102699",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "error",
"error": "Data processing error: File Reconstruction Error: Internal Writer Error: Failed to send data: receiver dropped",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 241.3597869873047
},
{
"stage": "train",
"adapter": "empathy",
"timestamp": "2026-03-05T12:06:10.335824",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 2.046992778778076
},
{
"stage": "train",
"adapter": "philosophy",
"timestamp": "2026-03-05T12:06:11.282306",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.9341073036193848
},
{
"stage": "train",
"adapter": "quantum",
"timestamp": "2026-03-05T12:06:14.540725",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 3.187710762023926
},
{
"stage": "train",
"adapter": "rcxi",
"timestamp": "2026-03-05T12:06:17.004200",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 2.1806528568267822
},
{
"stage": "train",
"adapter": "multi_perspective",
"timestamp": "2026-03-05T12:06:18.236677",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 1.2235488891601562
},
{
"stage": "train",
"adapter": "systems",
"timestamp": "2026-03-05T12:06:20.015072",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 1.7671480178833008
},
{
"stage": "evaluate",
"adapter": "newton",
"timestamp": "2026-03-05T12:06:26.595446",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "evaluated",
"total_responses": 3000,
"scores": {
"clarity": 0.6685,
"structure": 0.5723,
"depth": 0.9946,
"examples": 0.3759,
"multi_perspective": 0.5669,
"scientific_rigor": 0.4376,
"ethical_awareness": 0.5219,
"coherence": 0.3271,
"overall": 0.5801,
"word_count": 480.143,
"sentence_count": 26.9483
},
"time_seconds": 6.121406555175781
},
{
"stage": "evaluate",
"adapter": "davinci",
"timestamp": "2026-03-05T12:06:31.535763",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6649,
"structure": 0.5534,
"depth": 0.995,
"examples": 0.1532,
"multi_perspective": 0.5806,
"scientific_rigor": 0.3201,
"ethical_awareness": 0.5737,
"coherence": 0.2726,
"overall": 0.538,
"word_count": 478.202,
"sentence_count": 27.3028
},
"time_seconds": 4.929551839828491
},
{
"stage": "evaluate",
"adapter": "empathy",
"timestamp": "2026-03-05T12:06:35.888549",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6739,
"structure": 0.539,
"depth": 0.9952,
"examples": 0.1892,
"multi_perspective": 0.6038,
"scientific_rigor": 0.3386,
"ethical_awareness": 0.6423,
"coherence": 0.3051,
"overall": 0.556,
"word_count": 481.038,
"sentence_count": 26.9796
},
"time_seconds": 4.3487548828125
},
{
"stage": "evaluate",
"adapter": "philosophy",
"timestamp": "2026-03-05T12:06:39.204549",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6708,
"structure": 0.5539,
"depth": 0.9954,
"examples": 0.2086,
"multi_perspective": 0.7429,
"scientific_rigor": 0.3596,
"ethical_awareness": 0.6223,
"coherence": 0.322,
"overall": 0.5766,
"word_count": 487.796,
"sentence_count": 27.2695
},
"time_seconds": 3.304492712020874
},
{
"stage": "evaluate",
"adapter": "quantum",
"timestamp": "2026-03-05T12:06:42.434890",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6715,
"structure": 0.5513,
"depth": 0.9953,
"examples": 0.2364,
"multi_perspective": 0.6332,
"scientific_rigor": 0.4823,
"ethical_awareness": 0.5369,
"coherence": 0.3093,
"overall": 0.5766,
"word_count": 485.6675,
"sentence_count": 27.0405
},
"time_seconds": 3.2288401126861572
},
{
"stage": "evaluate",
"adapter": "rcxi",
"timestamp": "2026-03-05T12:06:50.990026",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "evaluated",
"total_responses": 3000,
"scores": {
"clarity": 0.6115,
"structure": 0.5502,
"depth": 0.9026,
"examples": 0.1562,
"multi_perspective": 0.9205,
"scientific_rigor": 0.4759,
"ethical_awareness": 0.6445,
"coherence": 0.3144,
"overall": 0.5846,
"word_count": 854.668,
"sentence_count": 45.656
},
"time_seconds": 8.522654294967651
},
{
"stage": "evaluate",
"adapter": "multi_perspective",
"timestamp": "2026-03-05T12:06:55.239804",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6784,
"structure": 0.574,
"depth": 0.9945,
"examples": 0.2702,
"multi_perspective": 0.682,
"scientific_rigor": 0.3662,
"ethical_awareness": 0.625,
"coherence": 0.302,
"overall": 0.5799,
"word_count": 473.376,
"sentence_count": 25.92
},
"time_seconds": 4.239100217819214
},
{
"stage": "evaluate",
"adapter": "systems",
"timestamp": "2026-03-05T12:07:01.181429",
"pipeline_run": "2026-03-05T11:51:27.977332",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6132,
"structure": 0.5566,
"depth": 0.907,
"examples": 0.1933,
"multi_perspective": 0.931,
"scientific_rigor": 0.4425,
"ethical_awareness": 0.6552,
"coherence": 0.3007,
"overall": 0.5859,
"word_count": 860.158,
"sentence_count": 46.023
},
"time_seconds": 5.940130710601807
},
{
"stage": "pipeline",
"adapter": null,
"timestamp": "2026-03-05T12:07:01.181939",
"pipeline_run": "2026-03-05T11:51:27.977332",
"total_time_seconds": 933.1828961372375,
"stages_run": [
"generate",
"validate",
"forge",
"train",
"evaluate"
],
"adapters_processed": [
"newton",
"davinci",
"empathy",
"philosophy",
"quantum",
"rcxi",
"multi_perspective",
"systems"
]
},
{
"type": "adapter_training",
"adapter": "newton",
"timestamp": "2026-03-05T12:15:35.228392",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 92.2169177532196
},
{
"type": "adapter_training",
"adapter": "davinci",
"timestamp": "2026-03-05T12:15:36.368150",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.6944358348846436
},
{
"type": "adapter_training",
"adapter": "empathy",
"timestamp": "2026-03-05T12:15:37.818458",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.684197187423706
},
{
"type": "adapter_training",
"adapter": "philosophy",
"timestamp": "2026-03-05T12:15:38.492920",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.6610910892486572
},
{
"type": "adapter_training",
"adapter": "quantum",
"timestamp": "2026-03-05T12:15:39.683857",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.6696877479553223
},
{
"type": "adapter_training",
"adapter": "rcxi",
"timestamp": "2026-03-05T12:15:40.509769",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.8145790100097656
},
{
"type": "adapter_training",
"adapter": "multi_perspective",
"timestamp": "2026-03-05T12:15:41.228668",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.6707427501678467
},
{
"type": "adapter_training",
"adapter": "systems",
"timestamp": "2026-03-05T12:15:41.968228",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.7210283279418945
},
{
"type": "adapter_training",
"adapter": "newton",
"timestamp": "2026-03-05T12:19:08.218228",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 6.776324033737183
},
{
"type": "adapter_training",
"adapter": "davinci",
"timestamp": "2026-03-05T12:19:09.032917",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.7988603115081787
},
{
"type": "adapter_training",
"adapter": "empathy",
"timestamp": "2026-03-05T12:19:09.935748",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.892183780670166
},
{
"type": "adapter_training",
"adapter": "philosophy",
"timestamp": "2026-03-05T12:19:10.625920",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.6798748970031738
},
{
"type": "adapter_training",
"adapter": "quantum",
"timestamp": "2026-03-05T12:19:11.321216",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.6851582527160645
},
{
"type": "adapter_training",
"adapter": "rcxi",
"timestamp": "2026-03-05T12:19:12.413857",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.8433570861816406
},
{
"type": "adapter_training",
"adapter": "multi_perspective",
"timestamp": "2026-03-05T12:19:14.201251",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.6704399585723877
},
{
"type": "adapter_training",
"adapter": "systems",
"timestamp": "2026-03-05T12:19:14.900090",
"status": "error",
"error": "There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.6875877380371094
},
{
"stage": "generate",
"adapter": "newton",
"timestamp": "2026-03-06T05:20:37.085663",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "generated",
"examples": 3000,
"path": "datasets\\newton_reasoning.jsonl",
"time_seconds": 0.24552702903747559
},
{
"stage": "generate",
"adapter": "davinci",
"timestamp": "2026-03-06T05:20:37.219472",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "generated",
"examples": 2500,
"path": "datasets\\davinci_reasoning.jsonl",
"time_seconds": 0.13204026222229004
},
{
"stage": "generate",
"adapter": "empathy",
"timestamp": "2026-03-06T05:20:37.361433",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "generated",
"examples": 2500,
"path": "datasets\\empathy_reasoning.jsonl",
"time_seconds": 0.14021086692810059
},
{
"stage": "generate",
"adapter": "philosophy",
"timestamp": "2026-03-06T05:20:37.464662",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "generated",
"examples": 2000,
"path": "datasets\\philosophy_reasoning.jsonl",
"time_seconds": 0.1014397144317627
},
{
"stage": "generate",
"adapter": "quantum",
"timestamp": "2026-03-06T05:20:37.575290",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "generated",
"examples": 2000,
"path": "datasets\\quantum_reasoning.jsonl",
"time_seconds": 0.10861396789550781
},
{
"stage": "generate",
"adapter": "rcxi",
"timestamp": "2026-03-06T05:20:37.576928",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "error",
"error": "Unknown adapter 'rcxi'. Available: ['newton', 'davinci', 'empathy', 'philosophy', 'quantum', 'consciousness', 'multi_perspective', 'systems_architecture']",
"time_seconds": 1.4781951904296875e-05
},
{
"stage": "generate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T05:20:37.717627",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "generated",
"examples": 2500,
"path": "datasets\\multi_perspective_reasoning.jsonl",
"time_seconds": 0.13978290557861328
},
{
"stage": "generate",
"adapter": "systems",
"timestamp": "2026-03-06T05:20:37.719045",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "error",
"error": "Unknown adapter 'systems'. Available: ['newton', 'davinci', 'empathy', 'philosophy', 'quantum', 'consciousness', 'multi_perspective', 'systems_architecture']",
"time_seconds": 1.6689300537109375e-05
},
{
"stage": "validate",
"adapter": "newton",
"timestamp": "2026-03-06T05:20:37.761164",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "davinci",
"timestamp": "2026-03-06T05:20:37.793545",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "empathy",
"timestamp": "2026-03-06T05:20:37.826832",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "philosophy",
"timestamp": "2026-03-06T05:20:37.854500",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "quantum",
"timestamp": "2026-03-06T05:20:37.883467",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "rcxi",
"timestamp": "2026-03-06T05:20:38.423876",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T05:20:38.456599",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "systems",
"timestamp": "2026-03-06T05:20:38.868801",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "forge",
"adapter": "newton",
"timestamp": "2026-03-06T05:20:45.609287",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "success",
"total_examples": 3000,
"enhanced_examples": 3000,
"time_seconds": 6.3531270027160645
},
{
"stage": "forge",
"adapter": "davinci",
"timestamp": "2026-03-06T05:20:50.831253",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 5.220351696014404
},
{
"stage": "forge",
"adapter": "empathy",
"timestamp": "2026-03-06T05:20:55.747878",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 4.914640665054321
},
{
"stage": "forge",
"adapter": "philosophy",
"timestamp": "2026-03-06T05:20:58.647021",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 2.898249864578247
},
{
"stage": "forge",
"adapter": "quantum",
"timestamp": "2026-03-06T05:21:01.296181",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 2.6474647521972656
},
{
"stage": "forge",
"adapter": "rcxi",
"timestamp": "2026-03-06T05:21:05.404503",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "success",
"total_examples": 3000,
"enhanced_examples": 3000,
"time_seconds": 4.106563329696655
},
{
"stage": "forge",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T05:21:08.730014",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 3.324136257171631
},
{
"stage": "forge",
"adapter": "systems",
"timestamp": "2026-03-06T05:21:11.442397",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 2.7117254734039307
},
{
"stage": "train",
"adapter": "newton",
"timestamp": "2026-03-06T05:25:48.385002",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "error",
"error": "Data processing error: File Reconstruction Error: IO Error: There is not enough space on the disk. (os error 112)",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 260.3059458732605
},
{
"stage": "train",
"adapter": "davinci",
"timestamp": "2026-03-06T05:29:24.863169",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "error",
"error": "Data processing error: File Reconstruction Error: Internal Writer Error: Background writer channel closed",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 216.13884472846985
},
{
"stage": "train",
"adapter": "empathy",
"timestamp": "2026-03-06T05:31:38.654539",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "error",
"error": "Data processing error: File Reconstruction Error: Internal Writer Error: Background writer channel closed",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 133.77365803718567
},
{
"stage": "train",
"adapter": "philosophy",
"timestamp": "2026-03-06T05:35:13.543485",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "error",
"error": "Data processing error: File Reconstruction Error: Internal Writer Error: Background writer channel closed",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 214.87309432029724
},
{
"stage": "train",
"adapter": "quantum",
"timestamp": "2026-03-06T05:38:58.051805",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "error",
"error": "Data processing error: File Reconstruction Error: Internal Writer Error: Background writer channel closed",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 224.16145515441895
},
{
"stage": "train",
"adapter": "rcxi",
"timestamp": "2026-03-06T05:41:14.635509",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "error",
"error": "Data processing error: File Reconstruction Error: Internal Writer Error: Background writer channel closed",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 136.56719040870667
},
{
"stage": "train",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T05:44:28.975130",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "error",
"error": "Data processing error: File Reconstruction Error: Internal Writer Error: Background writer channel closed",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 194.3331904411316
},
{
"stage": "train",
"adapter": "systems",
"timestamp": "2026-03-06T05:47:01.528109",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "error",
"error": "Data processing error: File Reconstruction Error: Internal Writer Error: Background writer channel closed",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 152.53622794151306
},
{
"stage": "evaluate",
"adapter": "newton",
"timestamp": "2026-03-06T05:47:07.857453",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "evaluated",
"total_responses": 3000,
"scores": {
"clarity": 0.6685,
"structure": 0.5723,
"depth": 0.9946,
"examples": 0.3759,
"multi_perspective": 0.5669,
"scientific_rigor": 0.4376,
"ethical_awareness": 0.5219,
"coherence": 0.3271,
"overall": 0.5801,
"word_count": 480.143,
"sentence_count": 26.9483
},
"time_seconds": 5.874239921569824
},
{
"stage": "evaluate",
"adapter": "davinci",
"timestamp": "2026-03-06T05:47:12.995448",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6649,
"structure": 0.5534,
"depth": 0.995,
"examples": 0.1532,
"multi_perspective": 0.5806,
"scientific_rigor": 0.3201,
"ethical_awareness": 0.5737,
"coherence": 0.2726,
"overall": 0.538,
"word_count": 478.202,
"sentence_count": 27.3028
},
"time_seconds": 5.137233734130859
},
{
"stage": "evaluate",
"adapter": "empathy",
"timestamp": "2026-03-06T05:47:17.567537",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6739,
"structure": 0.539,
"depth": 0.9952,
"examples": 0.1892,
"multi_perspective": 0.6038,
"scientific_rigor": 0.3386,
"ethical_awareness": 0.6423,
"coherence": 0.3051,
"overall": 0.556,
"word_count": 481.038,
"sentence_count": 26.9796
},
"time_seconds": 4.57110333442688
},
{
"stage": "evaluate",
"adapter": "philosophy",
"timestamp": "2026-03-06T05:47:21.208411",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6708,
"structure": 0.5539,
"depth": 0.9954,
"examples": 0.2086,
"multi_perspective": 0.7429,
"scientific_rigor": 0.3596,
"ethical_awareness": 0.6223,
"coherence": 0.322,
"overall": 0.5766,
"word_count": 487.796,
"sentence_count": 27.2695
},
"time_seconds": 3.6402554512023926
},
{
"stage": "evaluate",
"adapter": "quantum",
"timestamp": "2026-03-06T05:47:24.935713",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6715,
"structure": 0.5513,
"depth": 0.9953,
"examples": 0.2364,
"multi_perspective": 0.6332,
"scientific_rigor": 0.4823,
"ethical_awareness": 0.5369,
"coherence": 0.3093,
"overall": 0.5766,
"word_count": 485.6675,
"sentence_count": 27.0405
},
"time_seconds": 3.7254786491394043
},
{
"stage": "evaluate",
"adapter": "rcxi",
"timestamp": "2026-03-06T05:47:36.531179",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "evaluated",
"total_responses": 3000,
"scores": {
"clarity": 0.5867,
"structure": 0.5502,
"depth": 0.8562,
"examples": 0.1562,
"multi_perspective": 0.9727,
"scientific_rigor": 0.4919,
"ethical_awareness": 0.711,
"coherence": 0.3157,
"overall": 0.5883,
"word_count": 1228.409,
"sentence_count": 65.079
},
"time_seconds": 11.594725608825684
},
{
"stage": "evaluate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T05:47:40.270368",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6784,
"structure": 0.574,
"depth": 0.9945,
"examples": 0.2702,
"multi_perspective": 0.682,
"scientific_rigor": 0.3662,
"ethical_awareness": 0.625,
"coherence": 0.302,
"overall": 0.5799,
"word_count": 473.376,
"sentence_count": 25.92
},
"time_seconds": 3.738477945327759
},
{
"stage": "evaluate",
"adapter": "systems",
"timestamp": "2026-03-06T05:47:47.523181",
"pipeline_run": "2026-03-06T05:20:36.706734",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.5877,
"structure": 0.5566,
"depth": 0.8595,
"examples": 0.1933,
"multi_perspective": 0.9825,
"scientific_rigor": 0.465,
"ethical_awareness": 0.7105,
"coherence": 0.3037,
"overall": 0.5893,
"word_count": 1233.872,
"sentence_count": 65.5745
},
"time_seconds": 7.252009630203247
},
{
"stage": "pipeline",
"adapter": null,
"timestamp": "2026-03-06T05:47:47.523561",
"pipeline_run": "2026-03-06T05:20:36.706734",
"total_time_seconds": 1630.8140742778778,
"stages_run": [
"generate",
"validate",
"forge",
"train",
"evaluate"
],
"adapters_processed": [
"newton",
"davinci",
"empathy",
"philosophy",
"quantum",
"rcxi",
"multi_perspective",
"systems"
]
},
{
"stage": "generate",
"adapter": "newton",
"timestamp": "2026-03-06T06:42:13.633561",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "generated",
"examples": 3000,
"path": "datasets\\newton_reasoning.jsonl",
"time_seconds": 0.2869141101837158
},
{
"stage": "generate",
"adapter": "davinci",
"timestamp": "2026-03-06T06:42:13.811563",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "generated",
"examples": 2500,
"path": "datasets\\davinci_reasoning.jsonl",
"time_seconds": 0.17633342742919922
},
{
"stage": "generate",
"adapter": "empathy",
"timestamp": "2026-03-06T06:42:13.978925",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "generated",
"examples": 2500,
"path": "datasets\\empathy_reasoning.jsonl",
"time_seconds": 0.16582345962524414
},
{
"stage": "generate",
"adapter": "philosophy",
"timestamp": "2026-03-06T06:42:14.198918",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "generated",
"examples": 2000,
"path": "datasets\\philosophy_reasoning.jsonl",
"time_seconds": 0.21718859672546387
},
{
"stage": "generate",
"adapter": "quantum",
"timestamp": "2026-03-06T06:42:14.435937",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "generated",
"examples": 2000,
"path": "datasets\\quantum_reasoning.jsonl",
"time_seconds": 0.22745370864868164
},
{
"stage": "generate",
"adapter": "rcxi",
"timestamp": "2026-03-06T06:42:14.452324",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "error",
"error": "Unknown adapter 'rcxi'. Available: ['newton', 'davinci', 'empathy', 'philosophy', 'quantum', 'consciousness', 'multi_perspective', 'systems_architecture']",
"time_seconds": 1.7642974853515625e-05
},
{
"stage": "generate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T06:42:14.651590",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "generated",
"examples": 2500,
"path": "datasets\\multi_perspective_reasoning.jsonl",
"time_seconds": 0.1916491985321045
},
{
"stage": "generate",
"adapter": "systems",
"timestamp": "2026-03-06T06:42:14.673102",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "error",
"error": "Unknown adapter 'systems'. Available: ['newton', 'davinci', 'empathy', 'philosophy', 'quantum', 'consciousness', 'multi_perspective', 'systems_architecture']",
"time_seconds": 1.5735626220703125e-05
},
{
"stage": "validate",
"adapter": "newton",
"timestamp": "2026-03-06T06:42:14.884863",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "davinci",
"timestamp": "2026-03-06T06:42:14.968014",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "empathy",
"timestamp": "2026-03-06T06:42:15.157265",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "philosophy",
"timestamp": "2026-03-06T06:42:15.258230",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "quantum",
"timestamp": "2026-03-06T06:42:15.385081",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "rcxi",
"timestamp": "2026-03-06T06:42:15.722940",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T06:42:15.799542",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "systems",
"timestamp": "2026-03-06T06:42:15.996004",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "forge",
"adapter": "newton",
"timestamp": "2026-03-06T06:42:50.928926",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "success",
"total_examples": 3000,
"enhanced_examples": 3000,
"time_seconds": 29.131897926330566
},
{
"stage": "forge",
"adapter": "davinci",
"timestamp": "2026-03-06T06:43:06.864791",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 15.934085607528687
},
{
"stage": "forge",
"adapter": "empathy",
"timestamp": "2026-03-06T06:43:29.010861",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 22.143311023712158
},
{
"stage": "forge",
"adapter": "philosophy",
"timestamp": "2026-03-06T06:43:42.677416",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 13.661418914794922
},
{
"stage": "forge",
"adapter": "quantum",
"timestamp": "2026-03-06T06:43:55.625043",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 12.945507049560547
},
{
"stage": "forge",
"adapter": "rcxi",
"timestamp": "2026-03-06T06:44:13.845021",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "success",
"total_examples": 3000,
"enhanced_examples": 3000,
"time_seconds": 18.217397212982178
},
{
"stage": "forge",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T06:44:29.518951",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 15.672286033630371
},
{
"stage": "forge",
"adapter": "systems",
"timestamp": "2026-03-06T06:44:41.245700",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 11.724752187728882
},
{
"stage": "train",
"adapter": "newton",
"timestamp": "2026-03-06T06:53:12.422314",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "error",
"error": "You are trying to access a gated repo.\nMake sure to have access to it at https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct.\n401 Client Error. (Request ID: Root=1-69aace61-2245ac29103c339948a4f49a;76fa4f42-ec2e-4403-9826-5a2647d8e4e0)\n\nCannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct/resolve/main/config.json.\nAccess to model meta-llama/Llama-3.1-8B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in.",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 491.52503991127014
},
{
"stage": "train",
"adapter": "davinci",
"timestamp": "2026-03-06T06:53:12.659199",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "error",
"error": "You are trying to access a gated repo.\nMake sure to have access to it at https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct.\n401 Client Error. (Request ID: Root=1-69aace62-2650d5e06f6ac45670219670;5f3d46c8-96b9-418f-847d-ce62de8a18e6)\n\nCannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct/resolve/main/config.json.\nAccess to model meta-llama/Llama-3.1-8B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in.",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.22498488426208496
},
{
"stage": "train",
"adapter": "empathy",
"timestamp": "2026-03-06T06:53:12.866870",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "error",
"error": "You are trying to access a gated repo.\nMake sure to have access to it at https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct.\n401 Client Error. (Request ID: Root=1-69aace62-2033004c62aed0492675424e;5d48b81b-9f3b-4c12-a1a5-f528adade38b)\n\nCannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct/resolve/main/config.json.\nAccess to model meta-llama/Llama-3.1-8B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in.",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.19324588775634766
},
{
"stage": "train",
"adapter": "philosophy",
"timestamp": "2026-03-06T06:53:13.057809",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "error",
"error": "You are trying to access a gated repo.\nMake sure to have access to it at https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct.\n401 Client Error. (Request ID: Root=1-69aace62-17a03515707e90767aa8afed;b8009314-4390-477d-84b4-9a6231035583)\n\nCannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct/resolve/main/config.json.\nAccess to model meta-llama/Llama-3.1-8B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in.",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.17481780052185059
},
{
"stage": "train",
"adapter": "quantum",
"timestamp": "2026-03-06T06:53:13.258496",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "error",
"error": "You are trying to access a gated repo.\nMake sure to have access to it at https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct.\n401 Client Error. (Request ID: Root=1-69aace62-44b8780003b7783969dea571;1806f645-d52c-4f31-a98b-ac6a84b430c0)\n\nCannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct/resolve/main/config.json.\nAccess to model meta-llama/Llama-3.1-8B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in.",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.17794346809387207
},
{
"stage": "train",
"adapter": "rcxi",
"timestamp": "2026-03-06T06:53:13.501830",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "error",
"error": "You are trying to access a gated repo.\nMake sure to have access to it at https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct.\n401 Client Error. (Request ID: Root=1-69aace63-1c70b72871ba50516324b8b7;d7bc7ff3-a041-453e-b5ba-13483f18f288)\n\nCannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct/resolve/main/config.json.\nAccess to model meta-llama/Llama-3.1-8B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in.",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.22247624397277832
},
{
"stage": "train",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T06:53:13.714590",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "error",
"error": "You are trying to access a gated repo.\nMake sure to have access to it at https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct.\n401 Client Error. (Request ID: Root=1-69aace63-6f6d48346ec8a1e07aa748cf;0cc36b24-3bda-4f3f-b84f-f436fd2c8f66)\n\nCannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct/resolve/main/config.json.\nAccess to model meta-llama/Llama-3.1-8B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in.",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.1931905746459961
},
{
"stage": "train",
"adapter": "systems",
"timestamp": "2026-03-06T06:53:13.930729",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "error",
"error": "You are trying to access a gated repo.\nMake sure to have access to it at https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct.\n401 Client Error. (Request ID: Root=1-69aace63-5163cc6335c0967d4b308bbc;09f96584-6113-436a-bbcf-a5f54823c1ee)\n\nCannot access gated repo for url https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct/resolve/main/config.json.\nAccess to model meta-llama/Llama-3.1-8B-Instruct is restricted. You must have access to it and be authenticated to access it. Please log in.",
"final_loss": null,
"total_steps": 0,
"training_time_seconds": 0.2002573013305664
},
{
"stage": "evaluate",
"adapter": "newton",
"timestamp": "2026-03-06T06:53:18.713531",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "evaluated",
"total_responses": 3000,
"scores": {
"clarity": 0.6685,
"structure": 0.5723,
"depth": 0.9946,
"examples": 0.3759,
"multi_perspective": 0.5669,
"scientific_rigor": 0.4376,
"ethical_awareness": 0.5219,
"coherence": 0.3271,
"overall": 0.5801,
"word_count": 480.143,
"sentence_count": 26.9483
},
"time_seconds": 4.275251388549805
},
{
"stage": "evaluate",
"adapter": "davinci",
"timestamp": "2026-03-06T06:53:22.278638",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6649,
"structure": 0.5534,
"depth": 0.995,
"examples": 0.1532,
"multi_perspective": 0.5806,
"scientific_rigor": 0.3201,
"ethical_awareness": 0.5737,
"coherence": 0.2726,
"overall": 0.538,
"word_count": 478.202,
"sentence_count": 27.3028
},
"time_seconds": 3.5630054473876953
},
{
"stage": "evaluate",
"adapter": "empathy",
"timestamp": "2026-03-06T06:53:25.840817",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6739,
"structure": 0.539,
"depth": 0.9952,
"examples": 0.1892,
"multi_perspective": 0.6038,
"scientific_rigor": 0.3386,
"ethical_awareness": 0.6423,
"coherence": 0.3051,
"overall": 0.556,
"word_count": 481.038,
"sentence_count": 26.9796
},
"time_seconds": 3.558324098587036
},
{
"stage": "evaluate",
"adapter": "philosophy",
"timestamp": "2026-03-06T06:53:28.745393",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6708,
"structure": 0.5539,
"depth": 0.9954,
"examples": 0.2086,
"multi_perspective": 0.7429,
"scientific_rigor": 0.3596,
"ethical_awareness": 0.6223,
"coherence": 0.322,
"overall": 0.5766,
"word_count": 487.796,
"sentence_count": 27.2695
},
"time_seconds": 2.9039556980133057
},
{
"stage": "evaluate",
"adapter": "quantum",
"timestamp": "2026-03-06T06:53:31.749380",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6715,
"structure": 0.5513,
"depth": 0.9953,
"examples": 0.2364,
"multi_perspective": 0.6332,
"scientific_rigor": 0.4823,
"ethical_awareness": 0.5369,
"coherence": 0.3093,
"overall": 0.5766,
"word_count": 485.6675,
"sentence_count": 27.0405
},
"time_seconds": 3.002894878387451
},
{
"stage": "evaluate",
"adapter": "rcxi",
"timestamp": "2026-03-06T06:53:36.184615",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "evaluated",
"total_responses": 3000,
"scores": {
"clarity": 0.6737,
"structure": 0.5502,
"depth": 0.995,
"examples": 0.1562,
"multi_perspective": 0.6352,
"scientific_rigor": 0.4539,
"ethical_awareness": 0.527,
"coherence": 0.3116,
"overall": 0.5639,
"word_count": 480.927,
"sentence_count": 26.233
},
"time_seconds": 4.43323016166687
},
{
"stage": "evaluate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T06:53:51.704463",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6784,
"structure": 0.574,
"depth": 0.9945,
"examples": 0.2702,
"multi_perspective": 0.682,
"scientific_rigor": 0.3662,
"ethical_awareness": 0.625,
"coherence": 0.302,
"overall": 0.5799,
"word_count": 473.376,
"sentence_count": 25.92
},
"time_seconds": 3.610260248184204
},
{
"stage": "evaluate",
"adapter": "systems",
"timestamp": "2026-03-06T06:54:05.558618",
"pipeline_run": "2026-03-06T06:42:12.965873",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6774,
"structure": 0.5566,
"depth": 0.9955,
"examples": 0.1933,
"multi_perspective": 0.6147,
"scientific_rigor": 0.4119,
"ethical_awareness": 0.5389,
"coherence": 0.2935,
"overall": 0.5602,
"word_count": 486.444,
"sentence_count": 26.4715
},
"time_seconds": 2.9705915451049805
},
{
"stage": "pipeline",
"adapter": null,
"timestamp": "2026-03-06T06:54:05.566361",
"pipeline_run": "2026-03-06T06:42:12.965873",
"total_time_seconds": 712.5993049144745,
"stages_run": [
"generate",
"validate",
"forge",
"train",
"evaluate"
],
"adapters_processed": [
"newton",
"davinci",
"empathy",
"philosophy",
"quantum",
"rcxi",
"multi_perspective",
"systems"
]
},
{
"stage": "generate",
"adapter": "newton",
"timestamp": "2026-03-06T07:40:15.787425",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "generated",
"examples": 3000,
"path": "datasets\\newton_reasoning.jsonl",
"time_seconds": 0.12276101112365723
},
{
"stage": "generate",
"adapter": "davinci",
"timestamp": "2026-03-06T07:40:15.870836",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "generated",
"examples": 2500,
"path": "datasets\\davinci_reasoning.jsonl",
"time_seconds": 0.08165168762207031
},
{
"stage": "generate",
"adapter": "empathy",
"timestamp": "2026-03-06T07:40:15.956559",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "generated",
"examples": 2500,
"path": "datasets\\empathy_reasoning.jsonl",
"time_seconds": 0.08408784866333008
},
{
"stage": "generate",
"adapter": "philosophy",
"timestamp": "2026-03-06T07:40:16.024053",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "generated",
"examples": 2000,
"path": "datasets\\philosophy_reasoning.jsonl",
"time_seconds": 0.06692361831665039
},
{
"stage": "generate",
"adapter": "quantum",
"timestamp": "2026-03-06T07:40:16.092880",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "generated",
"examples": 2000,
"path": "datasets\\quantum_reasoning.jsonl",
"time_seconds": 0.06721854209899902
},
{
"stage": "generate",
"adapter": "rcxi",
"timestamp": "2026-03-06T07:40:16.096094",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "error",
"error": "Unknown adapter 'rcxi'. Available: ['newton', 'davinci', 'empathy', 'philosophy', 'quantum', 'consciousness', 'multi_perspective', 'systems_architecture']",
"time_seconds": 1.1682510375976562e-05
},
{
"stage": "generate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T07:40:16.174268",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "generated",
"examples": 2500,
"path": "datasets\\multi_perspective_reasoning.jsonl",
"time_seconds": 0.07751083374023438
},
{
"stage": "generate",
"adapter": "systems",
"timestamp": "2026-03-06T07:40:16.175320",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "error",
"error": "Unknown adapter 'systems'. Available: ['newton', 'davinci', 'empathy', 'philosophy', 'quantum', 'consciousness', 'multi_perspective', 'systems_architecture']",
"time_seconds": 1.0728836059570312e-05
},
{
"stage": "validate",
"adapter": "newton",
"timestamp": "2026-03-06T07:40:16.199723",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "davinci",
"timestamp": "2026-03-06T07:40:16.219072",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "empathy",
"timestamp": "2026-03-06T07:40:16.238614",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "philosophy",
"timestamp": "2026-03-06T07:40:16.255702",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "quantum",
"timestamp": "2026-03-06T07:40:16.272467",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "rcxi",
"timestamp": "2026-03-06T07:40:16.473846",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T07:40:16.493696",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "systems",
"timestamp": "2026-03-06T07:40:16.628987",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "forge",
"adapter": "newton",
"timestamp": "2026-03-06T07:40:30.067295",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "success",
"total_examples": 3000,
"enhanced_examples": 3000,
"time_seconds": 13.406856060028076
},
{
"stage": "forge",
"adapter": "davinci",
"timestamp": "2026-03-06T07:40:43.896996",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 13.827849626541138
},
{
"stage": "forge",
"adapter": "empathy",
"timestamp": "2026-03-06T07:40:59.302126",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 15.39997911453247
},
{
"stage": "forge",
"adapter": "philosophy",
"timestamp": "2026-03-06T07:41:11.971060",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 12.664379835128784
},
{
"stage": "forge",
"adapter": "quantum",
"timestamp": "2026-03-06T07:41:22.662754",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 10.685668230056763
},
{
"stage": "forge",
"adapter": "rcxi",
"timestamp": "2026-03-06T07:41:37.395299",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "success",
"total_examples": 3000,
"enhanced_examples": 3000,
"time_seconds": 14.72959303855896
},
{
"stage": "forge",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T07:41:49.106827",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 11.708736896514893
},
{
"stage": "forge",
"adapter": "systems",
"timestamp": "2026-03-06T07:41:58.817552",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 9.709214687347412
},
{
"stage": "train",
"adapter": "newton",
"timestamp": "2026-03-06T07:42:13.909717",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "error",
"error": "Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. ",
"training_time_seconds": 14.02931261062622
},
{
"stage": "train",
"adapter": "davinci",
"timestamp": "2026-03-06T07:42:15.545031",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "error",
"error": "Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. ",
"training_time_seconds": 1.6196010112762451
},
{
"stage": "train",
"adapter": "empathy",
"timestamp": "2026-03-06T07:42:17.182518",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "error",
"error": "Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. ",
"training_time_seconds": 1.6230511665344238
},
{
"stage": "train",
"adapter": "philosophy",
"timestamp": "2026-03-06T07:42:18.741587",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "error",
"error": "Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. ",
"training_time_seconds": 1.5441479682922363
},
{
"stage": "train",
"adapter": "quantum",
"timestamp": "2026-03-06T07:42:20.287431",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "error",
"error": "Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. ",
"training_time_seconds": 1.5258617401123047
},
{
"stage": "train",
"adapter": "rcxi",
"timestamp": "2026-03-06T07:42:22.119252",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "error",
"error": "Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. ",
"training_time_seconds": 1.8166329860687256
},
{
"stage": "train",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T07:42:23.659539",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "error",
"error": "Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. ",
"training_time_seconds": 1.5251827239990234
},
{
"stage": "train",
"adapter": "systems",
"timestamp": "2026-03-06T07:42:25.248946",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "error",
"error": "Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. ",
"training_time_seconds": 1.5740952491760254
},
{
"stage": "evaluate",
"adapter": "newton",
"timestamp": "2026-03-06T07:42:30.694146",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "evaluated",
"total_responses": 3000,
"scores": {
"clarity": 0.6685,
"structure": 0.5723,
"depth": 0.9946,
"examples": 0.3759,
"multi_perspective": 0.5669,
"scientific_rigor": 0.4376,
"ethical_awareness": 0.5219,
"coherence": 0.3271,
"overall": 0.5801,
"word_count": 480.143,
"sentence_count": 26.9483
},
"time_seconds": 5.259538173675537
},
{
"stage": "evaluate",
"adapter": "davinci",
"timestamp": "2026-03-06T07:42:34.998814",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6649,
"structure": 0.5534,
"depth": 0.995,
"examples": 0.1532,
"multi_perspective": 0.5806,
"scientific_rigor": 0.3201,
"ethical_awareness": 0.5737,
"coherence": 0.2726,
"overall": 0.538,
"word_count": 478.202,
"sentence_count": 27.3028
},
"time_seconds": 4.3026392459869385
},
{
"stage": "evaluate",
"adapter": "empathy",
"timestamp": "2026-03-06T07:42:39.422466",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6739,
"structure": 0.539,
"depth": 0.9952,
"examples": 0.1892,
"multi_perspective": 0.6038,
"scientific_rigor": 0.3386,
"ethical_awareness": 0.6423,
"coherence": 0.3051,
"overall": 0.556,
"word_count": 481.038,
"sentence_count": 26.9796
},
"time_seconds": 4.421803951263428
},
{
"stage": "evaluate",
"adapter": "philosophy",
"timestamp": "2026-03-06T07:42:47.043665",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6708,
"structure": 0.5539,
"depth": 0.9954,
"examples": 0.2086,
"multi_perspective": 0.7429,
"scientific_rigor": 0.3596,
"ethical_awareness": 0.6223,
"coherence": 0.322,
"overall": 0.5766,
"word_count": 487.796,
"sentence_count": 27.2695
},
"time_seconds": 3.1091322898864746
},
{
"stage": "evaluate",
"adapter": "quantum",
"timestamp": "2026-03-06T07:42:50.111127",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6715,
"structure": 0.5513,
"depth": 0.9953,
"examples": 0.2364,
"multi_perspective": 0.6332,
"scientific_rigor": 0.4823,
"ethical_awareness": 0.5369,
"coherence": 0.3093,
"overall": 0.5766,
"word_count": 485.6675,
"sentence_count": 27.0405
},
"time_seconds": 3.065441131591797
},
{
"stage": "evaluate",
"adapter": "rcxi",
"timestamp": "2026-03-06T07:43:06.193080",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "evaluated",
"total_responses": 3000,
"scores": {
"clarity": 0.565,
"structure": 0.5502,
"depth": 0.816,
"examples": 0.1562,
"multi_perspective": 0.9918,
"scientific_rigor": 0.505,
"ethical_awareness": 0.7412,
"coherence": 0.3168,
"overall": 0.586,
"word_count": 1975.891,
"sentence_count": 103.925
},
"time_seconds": 16.0803120136261
},
{
"stage": "evaluate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T07:43:09.880652",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6784,
"structure": 0.574,
"depth": 0.9945,
"examples": 0.2702,
"multi_perspective": 0.682,
"scientific_rigor": 0.3662,
"ethical_awareness": 0.625,
"coherence": 0.302,
"overall": 0.5799,
"word_count": 473.376,
"sentence_count": 25.92
},
"time_seconds": 3.684516429901123
},
{
"stage": "evaluate",
"adapter": "systems",
"timestamp": "2026-03-06T07:43:20.981749",
"pipeline_run": "2026-03-06T07:40:15.566930",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.5652,
"structure": 0.5566,
"depth": 0.8182,
"examples": 0.1933,
"multi_perspective": 0.9952,
"scientific_rigor": 0.483,
"ethical_awareness": 0.7398,
"coherence": 0.3065,
"overall": 0.5869,
"word_count": 1981.3,
"sentence_count": 104.6775
},
"time_seconds": 11.099529266357422
},
{
"stage": "pipeline",
"adapter": null,
"timestamp": "2026-03-06T07:43:20.983760",
"pipeline_run": "2026-03-06T07:40:15.566930",
"total_time_seconds": 185.4160280227661,
"stages_run": [
"generate",
"validate",
"forge",
"train",
"evaluate"
],
"adapters_processed": [
"newton",
"davinci",
"empathy",
"philosophy",
"quantum",
"rcxi",
"multi_perspective",
"systems"
]
},
{
"stage": "generate",
"adapter": "newton",
"timestamp": "2026-03-06T07:46:09.380677",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "generated",
"examples": 3000,
"path": "datasets\\newton_reasoning.jsonl",
"time_seconds": 0.11284184455871582
},
{
"stage": "generate",
"adapter": "davinci",
"timestamp": "2026-03-06T07:46:09.469496",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "generated",
"examples": 2500,
"path": "datasets\\davinci_reasoning.jsonl",
"time_seconds": 0.08716225624084473
},
{
"stage": "generate",
"adapter": "empathy",
"timestamp": "2026-03-06T07:46:09.562577",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "generated",
"examples": 2500,
"path": "datasets\\empathy_reasoning.jsonl",
"time_seconds": 0.09092974662780762
},
{
"stage": "generate",
"adapter": "philosophy",
"timestamp": "2026-03-06T07:46:09.666323",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "generated",
"examples": 2000,
"path": "datasets\\philosophy_reasoning.jsonl",
"time_seconds": 0.10196828842163086
},
{
"stage": "generate",
"adapter": "quantum",
"timestamp": "2026-03-06T07:46:09.738391",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "generated",
"examples": 2000,
"path": "datasets\\quantum_reasoning.jsonl",
"time_seconds": 0.06968212127685547
},
{
"stage": "generate",
"adapter": "rcxi",
"timestamp": "2026-03-06T07:46:09.747266",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "error",
"error": "Unknown adapter 'rcxi'. Available: ['newton', 'davinci', 'empathy', 'philosophy', 'quantum', 'consciousness', 'multi_perspective', 'systems_architecture']",
"time_seconds": 3.075599670410156e-05
},
{
"stage": "generate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T07:46:09.828650",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "generated",
"examples": 2500,
"path": "datasets\\multi_perspective_reasoning.jsonl",
"time_seconds": 0.08085441589355469
},
{
"stage": "generate",
"adapter": "systems",
"timestamp": "2026-03-06T07:46:09.830685",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "error",
"error": "Unknown adapter 'systems'. Available: ['newton', 'davinci', 'empathy', 'philosophy', 'quantum', 'consciousness', 'multi_perspective', 'systems_architecture']",
"time_seconds": 1.049041748046875e-05
},
{
"stage": "validate",
"adapter": "newton",
"timestamp": "2026-03-06T07:46:09.855323",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "davinci",
"timestamp": "2026-03-06T07:46:09.875419",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "empathy",
"timestamp": "2026-03-06T07:46:09.896790",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "philosophy",
"timestamp": "2026-03-06T07:46:09.914987",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "quantum",
"timestamp": "2026-03-06T07:46:09.931182",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "rcxi",
"timestamp": "2026-03-06T07:46:10.154203",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T07:46:10.175562",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "systems",
"timestamp": "2026-03-06T07:46:10.322378",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "forge",
"adapter": "newton",
"timestamp": "2026-03-06T07:46:27.367205",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "success",
"total_examples": 3000,
"enhanced_examples": 3000,
"time_seconds": 17.0124614238739
},
{
"stage": "forge",
"adapter": "davinci",
"timestamp": "2026-03-06T07:46:43.941305",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 16.56960678100586
},
{
"stage": "forge",
"adapter": "empathy",
"timestamp": "2026-03-06T07:46:59.989224",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 16.044832468032837
},
{
"stage": "forge",
"adapter": "philosophy",
"timestamp": "2026-03-06T07:47:12.344888",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 12.353124856948853
},
{
"stage": "forge",
"adapter": "quantum",
"timestamp": "2026-03-06T07:47:24.484842",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 12.138074398040771
},
{
"stage": "forge",
"adapter": "rcxi",
"timestamp": "2026-03-06T07:47:44.575784",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "success",
"total_examples": 3000,
"enhanced_examples": 3000,
"time_seconds": 20.088335752487183
},
{
"stage": "forge",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T07:48:01.028767",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 16.448895931243896
},
{
"stage": "forge",
"adapter": "systems",
"timestamp": "2026-03-06T07:48:14.431538",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 13.397858142852783
},
{
"stage": "train",
"adapter": "newton",
"timestamp": "2026-03-06T07:48:27.366564",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "error",
"error": "Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. ",
"training_time_seconds": 11.332737922668457
},
{
"stage": "train",
"adapter": "davinci",
"timestamp": "2026-03-06T07:48:29.189019",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "error",
"error": "Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. ",
"training_time_seconds": 1.8086621761322021
},
{
"stage": "train",
"adapter": "empathy",
"timestamp": "2026-03-06T07:48:31.179722",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "error",
"error": "Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. ",
"training_time_seconds": 1.9696826934814453
},
{
"stage": "train",
"adapter": "philosophy",
"timestamp": "2026-03-06T07:48:32.980872",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "error",
"error": "Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. ",
"training_time_seconds": 1.7826757431030273
},
{
"stage": "train",
"adapter": "quantum",
"timestamp": "2026-03-06T07:48:34.892003",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "error",
"error": "Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. ",
"training_time_seconds": 1.889683723449707
},
{
"stage": "train",
"adapter": "rcxi",
"timestamp": "2026-03-06T07:48:37.045765",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "error",
"error": "Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. ",
"training_time_seconds": 2.128737211227417
},
{
"stage": "train",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T07:48:38.892240",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "error",
"error": "Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. ",
"training_time_seconds": 1.8213865756988525
},
{
"stage": "train",
"adapter": "systems",
"timestamp": "2026-03-06T07:48:40.834514",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "error",
"error": "Some modules are dispatched on the CPU or the disk. Make sure you have enough GPU RAM to fit the quantized model. If you want to dispatch the model on the CPU or the disk while keeping these modules in 32-bit, you need to set `llm_int8_enable_fp32_cpu_offload=True` and pass a custom `device_map` to `from_pretrained`. Check https://huggingface.co/docs/transformers/main/en/main_classes/quantization#offload-between-cpu-and-gpu for more details. ",
"training_time_seconds": 1.9259889125823975
},
{
"stage": "evaluate",
"adapter": "newton",
"timestamp": "2026-03-06T07:48:47.031368",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "evaluated",
"total_responses": 3000,
"scores": {
"clarity": 0.6685,
"structure": 0.5723,
"depth": 0.9946,
"examples": 0.3759,
"multi_perspective": 0.5669,
"scientific_rigor": 0.4376,
"ethical_awareness": 0.5219,
"coherence": 0.3271,
"overall": 0.5801,
"word_count": 480.143,
"sentence_count": 26.9483
},
"time_seconds": 6.18630313873291
},
{
"stage": "evaluate",
"adapter": "davinci",
"timestamp": "2026-03-06T07:48:52.247041",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6649,
"structure": 0.5534,
"depth": 0.995,
"examples": 0.1532,
"multi_perspective": 0.5806,
"scientific_rigor": 0.3201,
"ethical_awareness": 0.5737,
"coherence": 0.2726,
"overall": 0.538,
"word_count": 478.202,
"sentence_count": 27.3028
},
"time_seconds": 5.2104716300964355
},
{
"stage": "evaluate",
"adapter": "empathy",
"timestamp": "2026-03-06T07:48:57.287947",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6739,
"structure": 0.539,
"depth": 0.9952,
"examples": 0.1892,
"multi_perspective": 0.6038,
"scientific_rigor": 0.3386,
"ethical_awareness": 0.6423,
"coherence": 0.3051,
"overall": 0.556,
"word_count": 481.038,
"sentence_count": 26.9796
},
"time_seconds": 5.0383055210113525
},
{
"stage": "evaluate",
"adapter": "philosophy",
"timestamp": "2026-03-06T07:49:01.662599",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6708,
"structure": 0.5539,
"depth": 0.9954,
"examples": 0.2086,
"multi_perspective": 0.7429,
"scientific_rigor": 0.3596,
"ethical_awareness": 0.6223,
"coherence": 0.322,
"overall": 0.5766,
"word_count": 487.796,
"sentence_count": 27.2695
},
"time_seconds": 4.368191480636597
},
{
"stage": "evaluate",
"adapter": "quantum",
"timestamp": "2026-03-06T07:49:06.014755",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6715,
"structure": 0.5513,
"depth": 0.9953,
"examples": 0.2364,
"multi_perspective": 0.6332,
"scientific_rigor": 0.4823,
"ethical_awareness": 0.5369,
"coherence": 0.3093,
"overall": 0.5766,
"word_count": 485.6675,
"sentence_count": 27.0405
},
"time_seconds": 4.344342470169067
},
{
"stage": "evaluate",
"adapter": "rcxi",
"timestamp": "2026-03-06T07:49:30.629592",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "evaluated",
"total_responses": 3000,
"scores": {
"clarity": 0.5592,
"structure": 0.5502,
"depth": 0.8055,
"examples": 0.1562,
"multi_perspective": 0.9952,
"scientific_rigor": 0.505,
"ethical_awareness": 0.7412,
"coherence": 0.3171,
"overall": 0.584,
"word_count": 2349.632,
"sentence_count": 123.348
},
"time_seconds": 24.612287759780884
},
{
"stage": "evaluate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T07:49:34.704428",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6784,
"structure": 0.574,
"depth": 0.9945,
"examples": 0.2702,
"multi_perspective": 0.682,
"scientific_rigor": 0.3662,
"ethical_awareness": 0.625,
"coherence": 0.302,
"overall": 0.5799,
"word_count": 473.376,
"sentence_count": 25.92
},
"time_seconds": 4.073373079299927
},
{
"stage": "evaluate",
"adapter": "systems",
"timestamp": "2026-03-06T07:49:50.747172",
"pipeline_run": "2026-03-06T07:46:09.197535",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.5593,
"structure": 0.5566,
"depth": 0.8074,
"examples": 0.1933,
"multi_perspective": 0.997,
"scientific_rigor": 0.483,
"ethical_awareness": 0.7398,
"coherence": 0.3072,
"overall": 0.5847,
"word_count": 2355.014,
"sentence_count": 124.229
},
"time_seconds": 16.041059017181396
},
{
"stage": "pipeline",
"adapter": null,
"timestamp": "2026-03-06T07:49:50.751566",
"pipeline_run": "2026-03-06T07:46:09.197535",
"total_time_seconds": 221.53252696990967,
"stages_run": [
"generate",
"validate",
"forge",
"train",
"evaluate"
],
"adapters_processed": [
"newton",
"davinci",
"empathy",
"philosophy",
"quantum",
"rcxi",
"multi_perspective",
"systems"
]
},
{
"stage": "generate",
"adapter": "newton",
"timestamp": "2026-03-06T11:15:13.634476",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "generated",
"examples": 3000,
"path": "datasets\\newton_reasoning.jsonl",
"time_seconds": 0.16884183883666992
},
{
"stage": "generate",
"adapter": "davinci",
"timestamp": "2026-03-06T11:15:13.765139",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "generated",
"examples": 2500,
"path": "datasets\\davinci_reasoning.jsonl",
"time_seconds": 0.12871742248535156
},
{
"stage": "generate",
"adapter": "empathy",
"timestamp": "2026-03-06T11:15:14.160687",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "generated",
"examples": 2500,
"path": "datasets\\empathy_reasoning.jsonl",
"time_seconds": 0.3938119411468506
},
{
"stage": "generate",
"adapter": "philosophy",
"timestamp": "2026-03-06T11:15:14.278348",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "generated",
"examples": 2000,
"path": "datasets\\philosophy_reasoning.jsonl",
"time_seconds": 0.11580395698547363
},
{
"stage": "generate",
"adapter": "quantum",
"timestamp": "2026-03-06T11:15:14.379121",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "generated",
"examples": 2000,
"path": "datasets\\quantum_reasoning.jsonl",
"time_seconds": 0.09844231605529785
},
{
"stage": "generate",
"adapter": "rcxi",
"timestamp": "2026-03-06T11:15:14.381089",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "error",
"error": "Unknown adapter 'rcxi'. Available: ['newton', 'davinci', 'empathy', 'philosophy', 'quantum', 'consciousness', 'multi_perspective', 'systems_architecture']",
"time_seconds": 1.239776611328125e-05
},
{
"stage": "generate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T11:15:14.540214",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "generated",
"examples": 2500,
"path": "datasets\\multi_perspective_reasoning.jsonl",
"time_seconds": 0.15831637382507324
},
{
"stage": "generate",
"adapter": "systems",
"timestamp": "2026-03-06T11:15:14.543220",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "error",
"error": "Unknown adapter 'systems'. Available: ['newton', 'davinci', 'empathy', 'philosophy', 'quantum', 'consciousness', 'multi_perspective', 'systems_architecture']",
"time_seconds": 4.029273986816406e-05
},
{
"stage": "validate",
"adapter": "newton",
"timestamp": "2026-03-06T11:15:14.592999",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "davinci",
"timestamp": "2026-03-06T11:15:14.621959",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "empathy",
"timestamp": "2026-03-06T11:15:14.645854",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "philosophy",
"timestamp": "2026-03-06T11:15:14.720824",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "quantum",
"timestamp": "2026-03-06T11:15:14.755419",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "rcxi",
"timestamp": "2026-03-06T11:15:17.141406",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T11:15:17.167521",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "systems",
"timestamp": "2026-03-06T11:15:17.973711",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "forge",
"adapter": "newton",
"timestamp": "2026-03-06T11:15:43.427603",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "success",
"total_examples": 3000,
"enhanced_examples": 3000,
"time_seconds": 22.664417028427124
},
{
"stage": "forge",
"adapter": "davinci",
"timestamp": "2026-03-06T11:15:59.491020",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 16.06138300895691
},
{
"stage": "forge",
"adapter": "empathy",
"timestamp": "2026-03-06T11:16:40.774935",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 41.27747821807861
},
{
"stage": "forge",
"adapter": "philosophy",
"timestamp": "2026-03-06T11:17:12.573858",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 31.786253929138184
},
{
"stage": "forge",
"adapter": "quantum",
"timestamp": "2026-03-06T11:17:42.869041",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 30.292113542556763
},
{
"stage": "forge",
"adapter": "rcxi",
"timestamp": "2026-03-06T11:18:29.792778",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "success",
"total_examples": 3000,
"enhanced_examples": 3000,
"time_seconds": 46.2553653717041
},
{
"stage": "forge",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T11:19:20.760822",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 50.95257520675659
},
{
"stage": "forge",
"adapter": "systems",
"timestamp": "2026-03-06T11:19:58.213872",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 37.44509220123291
},
{
"stage": "train",
"adapter": "newton",
"timestamp": "2026-03-06T11:20:23.810661",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "error",
"error": "too many values to unpack (expected 2)",
"training_time_seconds": 4.411710500717163
},
{
"stage": "train",
"adapter": "davinci",
"timestamp": "2026-03-06T11:20:24.210765",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "error",
"error": "too many values to unpack (expected 2)",
"training_time_seconds": 0.3909943103790283
},
{
"stage": "train",
"adapter": "empathy",
"timestamp": "2026-03-06T11:20:24.424429",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "error",
"error": "too many values to unpack (expected 2)",
"training_time_seconds": 0.2033860683441162
},
{
"stage": "train",
"adapter": "philosophy",
"timestamp": "2026-03-06T11:20:24.684507",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "error",
"error": "too many values to unpack (expected 2)",
"training_time_seconds": 0.2522618770599365
},
{
"stage": "train",
"adapter": "quantum",
"timestamp": "2026-03-06T11:20:25.061481",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "error",
"error": "too many values to unpack (expected 2)",
"training_time_seconds": 0.35581159591674805
},
{
"stage": "train",
"adapter": "rcxi",
"timestamp": "2026-03-06T11:20:26.559119",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "error",
"error": "too many values to unpack (expected 2)",
"training_time_seconds": 1.4709177017211914
},
{
"stage": "train",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T11:20:26.860788",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "error",
"error": "too many values to unpack (expected 2)",
"training_time_seconds": 0.29422998428344727
},
{
"stage": "train",
"adapter": "systems",
"timestamp": "2026-03-06T11:20:28.363253",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "error",
"error": "too many values to unpack (expected 2)",
"training_time_seconds": 1.4832117557525635
},
{
"stage": "evaluate",
"adapter": "newton",
"timestamp": "2026-03-06T11:20:43.067877",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "evaluated",
"total_responses": 3000,
"scores": {
"clarity": 0.6685,
"structure": 0.5723,
"depth": 0.9946,
"examples": 0.3759,
"multi_perspective": 0.5669,
"scientific_rigor": 0.4376,
"ethical_awareness": 0.5219,
"coherence": 0.3271,
"overall": 0.5801,
"word_count": 480.143,
"sentence_count": 26.9483
},
"time_seconds": 14.141196012496948
},
{
"stage": "evaluate",
"adapter": "davinci",
"timestamp": "2026-03-06T11:20:53.143616",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6649,
"structure": 0.5534,
"depth": 0.995,
"examples": 0.1532,
"multi_perspective": 0.5806,
"scientific_rigor": 0.3201,
"ethical_awareness": 0.5737,
"coherence": 0.2726,
"overall": 0.538,
"word_count": 478.202,
"sentence_count": 27.3028
},
"time_seconds": 10.07441759109497
},
{
"stage": "evaluate",
"adapter": "empathy",
"timestamp": "2026-03-06T11:21:02.233337",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6739,
"structure": 0.539,
"depth": 0.9952,
"examples": 0.1892,
"multi_perspective": 0.6038,
"scientific_rigor": 0.3386,
"ethical_awareness": 0.6423,
"coherence": 0.3051,
"overall": 0.556,
"word_count": 481.038,
"sentence_count": 26.9796
},
"time_seconds": 9.087203979492188
},
{
"stage": "evaluate",
"adapter": "philosophy",
"timestamp": "2026-03-06T11:21:10.629617",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6708,
"structure": 0.5539,
"depth": 0.9954,
"examples": 0.2086,
"multi_perspective": 0.7429,
"scientific_rigor": 0.3596,
"ethical_awareness": 0.6223,
"coherence": 0.322,
"overall": 0.5766,
"word_count": 487.796,
"sentence_count": 27.2695
},
"time_seconds": 8.391812562942505
},
{
"stage": "evaluate",
"adapter": "quantum",
"timestamp": "2026-03-06T11:21:19.735501",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6715,
"structure": 0.5513,
"depth": 0.9953,
"examples": 0.2364,
"multi_perspective": 0.6332,
"scientific_rigor": 0.4823,
"ethical_awareness": 0.5369,
"coherence": 0.3093,
"overall": 0.5766,
"word_count": 485.6675,
"sentence_count": 27.0405
},
"time_seconds": 9.098361015319824
},
{
"stage": "evaluate",
"adapter": "rcxi",
"timestamp": "2026-03-06T11:22:19.221809",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "evaluated",
"total_responses": 3000,
"scores": {
"clarity": 0.555,
"structure": 0.5502,
"depth": 0.7979,
"examples": 0.1562,
"multi_perspective": 0.9981,
"scientific_rigor": 0.505,
"ethical_awareness": 0.7412,
"coherence": 0.3174,
"overall": 0.5825,
"word_count": 2723.373,
"sentence_count": 142.771
},
"time_seconds": 59.47474956512451
},
{
"stage": "evaluate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T11:22:28.682424",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6784,
"structure": 0.574,
"depth": 0.9945,
"examples": 0.2702,
"multi_perspective": 0.682,
"scientific_rigor": 0.3662,
"ethical_awareness": 0.625,
"coherence": 0.302,
"overall": 0.5799,
"word_count": 473.376,
"sentence_count": 25.92
},
"time_seconds": 9.457010269165039
},
{
"stage": "evaluate",
"adapter": "systems",
"timestamp": "2026-03-06T11:22:59.299670",
"pipeline_run": "2026-03-06T11:15:13.147512",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.555,
"structure": 0.5566,
"depth": 0.7995,
"examples": 0.1933,
"multi_perspective": 0.9986,
"scientific_rigor": 0.483,
"ethical_awareness": 0.7398,
"coherence": 0.3078,
"overall": 0.5831,
"word_count": 2728.728,
"sentence_count": 143.7805
},
"time_seconds": 30.614583015441895
},
{
"stage": "pipeline",
"adapter": null,
"timestamp": "2026-03-06T11:22:59.305822",
"pipeline_run": "2026-03-06T11:15:13.147512",
"total_time_seconds": 466.13089299201965,
"stages_run": [
"generate",
"validate",
"forge",
"train",
"evaluate"
],
"adapters_processed": [
"newton",
"davinci",
"empathy",
"philosophy",
"quantum",
"rcxi",
"multi_perspective",
"systems"
]
},
{
"stage": "generate",
"adapter": "newton",
"timestamp": "2026-03-06T13:18:27.804972",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "generated",
"examples": 3000,
"path": "datasets\\newton_reasoning.jsonl",
"time_seconds": 0.2745504379272461
},
{
"stage": "generate",
"adapter": "davinci",
"timestamp": "2026-03-06T13:18:28.071624",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "generated",
"examples": 2500,
"path": "datasets\\davinci_reasoning.jsonl",
"time_seconds": 0.2638664245605469
},
{
"stage": "generate",
"adapter": "empathy",
"timestamp": "2026-03-06T13:18:28.239230",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "generated",
"examples": 2500,
"path": "datasets\\empathy_reasoning.jsonl",
"time_seconds": 0.16535234451293945
},
{
"stage": "generate",
"adapter": "philosophy",
"timestamp": "2026-03-06T13:18:28.373666",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "generated",
"examples": 2000,
"path": "datasets\\philosophy_reasoning.jsonl",
"time_seconds": 0.12643933296203613
},
{
"stage": "generate",
"adapter": "quantum",
"timestamp": "2026-03-06T13:18:28.497166",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "generated",
"examples": 2000,
"path": "datasets\\quantum_reasoning.jsonl",
"time_seconds": 0.11673855781555176
},
{
"stage": "generate",
"adapter": "rcxi",
"timestamp": "2026-03-06T13:18:28.499655",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "error",
"error": "Unknown adapter 'rcxi'. Available: ['newton', 'davinci', 'empathy', 'philosophy', 'quantum', 'consciousness', 'multi_perspective', 'systems_architecture']",
"time_seconds": 1.8596649169921875e-05
},
{
"stage": "generate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T13:18:28.639055",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "generated",
"examples": 2500,
"path": "datasets\\multi_perspective_reasoning.jsonl",
"time_seconds": 0.13851642608642578
},
{
"stage": "generate",
"adapter": "systems",
"timestamp": "2026-03-06T13:18:28.641506",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "error",
"error": "Unknown adapter 'systems'. Available: ['newton', 'davinci', 'empathy', 'philosophy', 'quantum', 'consciousness', 'multi_perspective', 'systems_architecture']",
"time_seconds": 1.811981201171875e-05
},
{
"stage": "validate",
"adapter": "newton",
"timestamp": "2026-03-06T13:18:28.691923",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "davinci",
"timestamp": "2026-03-06T13:18:28.730908",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "empathy",
"timestamp": "2026-03-06T13:18:28.767592",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "philosophy",
"timestamp": "2026-03-06T13:18:28.804400",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "quantum",
"timestamp": "2026-03-06T13:18:28.834843",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "rcxi",
"timestamp": "2026-03-06T13:18:30.263121",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T13:18:30.300627",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "systems",
"timestamp": "2026-03-06T13:18:31.062707",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "forge",
"adapter": "newton",
"timestamp": "2026-03-06T13:18:53.631849",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "success",
"total_examples": 3000,
"enhanced_examples": 3000,
"time_seconds": 21.569352626800537
},
{
"stage": "forge",
"adapter": "davinci",
"timestamp": "2026-03-06T13:19:11.747224",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 18.11348581314087
},
{
"stage": "forge",
"adapter": "empathy",
"timestamp": "2026-03-06T13:19:29.867634",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 18.118074417114258
},
{
"stage": "forge",
"adapter": "philosophy",
"timestamp": "2026-03-06T13:19:44.205131",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 14.333271741867065
},
{
"stage": "forge",
"adapter": "quantum",
"timestamp": "2026-03-06T13:19:58.884490",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 14.677425622940063
},
{
"stage": "forge",
"adapter": "rcxi",
"timestamp": "2026-03-06T13:20:20.877817",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "success",
"total_examples": 3000,
"enhanced_examples": 3000,
"time_seconds": 21.991706132888794
},
{
"stage": "forge",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T13:20:39.009170",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 18.1294367313385
},
{
"stage": "forge",
"adapter": "systems",
"timestamp": "2026-03-06T13:20:53.958903",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 14.94826078414917
},
{
"stage": "train",
"adapter": "newton",
"timestamp": "2026-03-06T13:21:16.079311",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "error",
"error": "too many values to unpack (expected 2)",
"training_time_seconds": 3.5310287475585938
},
{
"stage": "train",
"adapter": "davinci",
"timestamp": "2026-03-06T13:21:16.192303",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "error",
"error": "too many values to unpack (expected 2)",
"training_time_seconds": 0.10582184791564941
},
{
"stage": "train",
"adapter": "empathy",
"timestamp": "2026-03-06T13:21:16.284476",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "error",
"error": "too many values to unpack (expected 2)",
"training_time_seconds": 0.0884087085723877
},
{
"stage": "train",
"adapter": "philosophy",
"timestamp": "2026-03-06T13:21:16.367318",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "error",
"error": "too many values to unpack (expected 2)",
"training_time_seconds": 0.07521629333496094
},
{
"stage": "train",
"adapter": "quantum",
"timestamp": "2026-03-06T13:21:16.480549",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "error",
"error": "too many values to unpack (expected 2)",
"training_time_seconds": 0.10895490646362305
},
{
"stage": "train",
"adapter": "rcxi",
"timestamp": "2026-03-06T13:21:17.073079",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "error",
"error": "too many values to unpack (expected 2)",
"training_time_seconds": 0.5855574607849121
},
{
"stage": "train",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T13:21:17.174295",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "error",
"error": "too many values to unpack (expected 2)",
"training_time_seconds": 0.097503662109375
},
{
"stage": "train",
"adapter": "systems",
"timestamp": "2026-03-06T13:21:17.546848",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "error",
"error": "too many values to unpack (expected 2)",
"training_time_seconds": 0.3669106960296631
},
{
"stage": "evaluate",
"adapter": "newton",
"timestamp": "2026-03-06T13:21:24.873758",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "evaluated",
"total_responses": 3000,
"scores": {
"clarity": 0.6685,
"structure": 0.5723,
"depth": 0.9946,
"examples": 0.3759,
"multi_perspective": 0.5669,
"scientific_rigor": 0.4376,
"ethical_awareness": 0.5219,
"coherence": 0.3271,
"overall": 0.5801,
"word_count": 480.143,
"sentence_count": 26.9483
},
"time_seconds": 7.02625298500061
},
{
"stage": "evaluate",
"adapter": "davinci",
"timestamp": "2026-03-06T13:21:30.616387",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6649,
"structure": 0.5534,
"depth": 0.995,
"examples": 0.1532,
"multi_perspective": 0.5806,
"scientific_rigor": 0.3201,
"ethical_awareness": 0.5737,
"coherence": 0.2726,
"overall": 0.538,
"word_count": 478.202,
"sentence_count": 27.3028
},
"time_seconds": 5.740746974945068
},
{
"stage": "evaluate",
"adapter": "empathy",
"timestamp": "2026-03-06T13:21:36.527560",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6739,
"structure": 0.539,
"depth": 0.9952,
"examples": 0.1892,
"multi_perspective": 0.6038,
"scientific_rigor": 0.3386,
"ethical_awareness": 0.6423,
"coherence": 0.3051,
"overall": 0.556,
"word_count": 481.038,
"sentence_count": 26.9796
},
"time_seconds": 5.909365177154541
},
{
"stage": "evaluate",
"adapter": "philosophy",
"timestamp": "2026-03-06T13:21:41.228015",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6708,
"structure": 0.5539,
"depth": 0.9954,
"examples": 0.2086,
"multi_perspective": 0.7429,
"scientific_rigor": 0.3596,
"ethical_awareness": 0.6223,
"coherence": 0.322,
"overall": 0.5766,
"word_count": 487.796,
"sentence_count": 27.2695
},
"time_seconds": 4.698750019073486
},
{
"stage": "evaluate",
"adapter": "quantum",
"timestamp": "2026-03-06T13:21:46.024027",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6715,
"structure": 0.5513,
"depth": 0.9953,
"examples": 0.2364,
"multi_perspective": 0.6332,
"scientific_rigor": 0.4823,
"ethical_awareness": 0.5369,
"coherence": 0.3093,
"overall": 0.5766,
"word_count": 485.6675,
"sentence_count": 27.0405
},
"time_seconds": 4.789055109024048
},
{
"stage": "evaluate",
"adapter": "rcxi",
"timestamp": "2026-03-06T13:22:25.488884",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "evaluated",
"total_responses": 3000,
"scores": {
"clarity": 0.5518,
"structure": 0.5502,
"depth": 0.7921,
"examples": 0.1562,
"multi_perspective": 1.0,
"scientific_rigor": 0.505,
"ethical_awareness": 0.7412,
"coherence": 0.3176,
"overall": 0.5814,
"word_count": 3097.114,
"sentence_count": 162.194
},
"time_seconds": 39.460612773895264
},
{
"stage": "evaluate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T13:22:31.297942",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6784,
"structure": 0.574,
"depth": 0.9945,
"examples": 0.2702,
"multi_perspective": 0.682,
"scientific_rigor": 0.3662,
"ethical_awareness": 0.625,
"coherence": 0.302,
"overall": 0.5799,
"word_count": 473.376,
"sentence_count": 25.92
},
"time_seconds": 5.807321071624756
},
{
"stage": "evaluate",
"adapter": "systems",
"timestamp": "2026-03-06T13:22:56.917316",
"pipeline_run": "2026-03-06T13:18:27.248739",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.5517,
"structure": 0.5566,
"depth": 0.7936,
"examples": 0.1933,
"multi_perspective": 1.0,
"scientific_rigor": 0.483,
"ethical_awareness": 0.7398,
"coherence": 0.3082,
"overall": 0.5819,
"word_count": 3102.442,
"sentence_count": 163.332
},
"time_seconds": 25.617772102355957
},
{
"stage": "pipeline",
"adapter": null,
"timestamp": "2026-03-06T13:22:56.923287",
"pipeline_run": "2026-03-06T13:18:27.248739",
"total_time_seconds": 269.5952353477478,
"stages_run": [
"generate",
"validate",
"forge",
"train",
"evaluate"
],
"adapters_processed": [
"newton",
"davinci",
"empathy",
"philosophy",
"quantum",
"rcxi",
"multi_perspective",
"systems"
]
},
{
"stage": "generate",
"adapter": "newton",
"timestamp": "2026-03-06T15:13:39.502278",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "generated",
"examples": 3000,
"path": "datasets\\newton_reasoning.jsonl",
"time_seconds": 0.11295342445373535
},
{
"stage": "generate",
"adapter": "davinci",
"timestamp": "2026-03-06T15:13:39.591328",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "generated",
"examples": 2500,
"path": "datasets\\davinci_reasoning.jsonl",
"time_seconds": 0.0874781608581543
},
{
"stage": "generate",
"adapter": "empathy",
"timestamp": "2026-03-06T15:13:39.691778",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "generated",
"examples": 2500,
"path": "datasets\\empathy_reasoning.jsonl",
"time_seconds": 0.09812593460083008
},
{
"stage": "generate",
"adapter": "philosophy",
"timestamp": "2026-03-06T15:13:39.767673",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "generated",
"examples": 2000,
"path": "datasets\\philosophy_reasoning.jsonl",
"time_seconds": 0.07303237915039062
},
{
"stage": "generate",
"adapter": "quantum",
"timestamp": "2026-03-06T15:13:39.842579",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "generated",
"examples": 2000,
"path": "datasets\\quantum_reasoning.jsonl",
"time_seconds": 0.07167315483093262
},
{
"stage": "generate",
"adapter": "consciousness",
"timestamp": "2026-03-06T15:13:39.945492",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "generated",
"examples": 3000,
"path": "datasets\\consciousness_reasoning.jsonl",
"time_seconds": 0.10103464126586914
},
{
"stage": "generate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T15:13:40.033984",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "generated",
"examples": 2500,
"path": "datasets\\multi_perspective_reasoning.jsonl",
"time_seconds": 0.0862891674041748
},
{
"stage": "generate",
"adapter": "systems_architecture",
"timestamp": "2026-03-06T15:13:40.112197",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "generated",
"examples": 2000,
"path": "datasets\\systems_architecture_reasoning.jsonl",
"time_seconds": 0.07644224166870117
},
{
"stage": "validate",
"adapter": "newton",
"timestamp": "2026-03-06T15:13:40.140060",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "davinci",
"timestamp": "2026-03-06T15:13:40.164486",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "empathy",
"timestamp": "2026-03-06T15:13:40.188121",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "philosophy",
"timestamp": "2026-03-06T15:13:40.205858",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "quantum",
"timestamp": "2026-03-06T15:13:40.227717",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "consciousness",
"timestamp": "2026-03-06T15:13:40.257028",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "valid",
"total_records": 3000,
"valid_records": 3000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T15:13:40.278787",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "valid",
"total_records": 2500,
"valid_records": 2500,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "validate",
"adapter": "systems_architecture",
"timestamp": "2026-03-06T15:13:40.297388",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "valid",
"total_records": 2000,
"valid_records": 2000,
"error_records": 0,
"pass_rate": 100.0,
"errors": {
"json_parse": 0,
"missing_messages": 0,
"missing_roles": 0,
"too_short": 0
}
},
{
"stage": "forge",
"adapter": "newton",
"timestamp": "2026-03-06T15:13:56.830216",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "success",
"total_examples": 3000,
"enhanced_examples": 3000,
"time_seconds": 14.327508926391602
},
{
"stage": "forge",
"adapter": "davinci",
"timestamp": "2026-03-06T15:14:12.619437",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 15.78556752204895
},
{
"stage": "forge",
"adapter": "empathy",
"timestamp": "2026-03-06T15:14:28.423721",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 15.801913022994995
},
{
"stage": "forge",
"adapter": "philosophy",
"timestamp": "2026-03-06T15:14:41.043787",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 12.618672609329224
},
{
"stage": "forge",
"adapter": "quantum",
"timestamp": "2026-03-06T15:14:50.740683",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 9.694835901260376
},
{
"stage": "forge",
"adapter": "consciousness",
"timestamp": "2026-03-06T15:15:06.601335",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "success",
"total_examples": 3000,
"enhanced_examples": 3000,
"time_seconds": 15.853896856307983
},
{
"stage": "forge",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T15:15:23.236671",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "success",
"total_examples": 2500,
"enhanced_examples": 2500,
"time_seconds": 16.632855892181396
},
{
"stage": "forge",
"adapter": "systems_architecture",
"timestamp": "2026-03-06T15:15:35.850831",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "success",
"total_examples": 2000,
"enhanced_examples": 2000,
"time_seconds": 12.612788915634155
},
{
"stage": "train",
"adapter": "newton",
"timestamp": "2026-03-06T15:21:58.356407",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "error",
"error": "",
"training_time_seconds": 364.8034117221832
},
{
"stage": "train",
"adapter": "davinci",
"timestamp": "2026-03-06T15:25:26.090976",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "error",
"error": "",
"training_time_seconds": 204.78326892852783
},
{
"stage": "train",
"adapter": "empathy",
"timestamp": "2026-03-06T15:29:44.870899",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "error",
"error": "One of the subprocesses has abruptly died during map operation.To debug the error, disable multiprocessing.",
"training_time_seconds": 257.1600852012634
},
{
"stage": "train",
"adapter": "philosophy",
"timestamp": "2026-03-06T15:47:49.549214",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "error",
"error": "",
"training_time_seconds": 1082.5566527843475
},
{
"stage": "train",
"adapter": "quantum",
"timestamp": "2026-03-06T15:51:08.612131",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "error",
"error": "",
"training_time_seconds": 196.60817337036133
},
{
"stage": "train",
"adapter": "consciousness",
"timestamp": "2026-03-06T15:54:34.763536",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "error",
"error": "",
"training_time_seconds": 202.89205932617188
},
{
"stage": "train",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T15:58:22.986376",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "error",
"error": "",
"training_time_seconds": 225.031099319458
},
{
"stage": "train",
"adapter": "systems_architecture",
"timestamp": "2026-03-06T16:02:20.468354",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "error",
"error": "",
"training_time_seconds": 235.23632884025574
},
{
"stage": "evaluate",
"adapter": "newton",
"timestamp": "2026-03-06T16:02:28.653994",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "evaluated",
"total_responses": 3000,
"scores": {
"clarity": 0.6685,
"structure": 0.5723,
"depth": 0.9946,
"examples": 0.3759,
"multi_perspective": 0.5669,
"scientific_rigor": 0.4376,
"ethical_awareness": 0.5219,
"coherence": 0.3271,
"overall": 0.5801,
"word_count": 480.143,
"sentence_count": 26.9483
},
"time_seconds": 7.701075553894043
},
{
"stage": "evaluate",
"adapter": "davinci",
"timestamp": "2026-03-06T16:02:33.098284",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6649,
"structure": 0.5534,
"depth": 0.995,
"examples": 0.1532,
"multi_perspective": 0.5806,
"scientific_rigor": 0.3201,
"ethical_awareness": 0.5737,
"coherence": 0.2726,
"overall": 0.538,
"word_count": 478.202,
"sentence_count": 27.3028
},
"time_seconds": 4.443191051483154
},
{
"stage": "evaluate",
"adapter": "empathy",
"timestamp": "2026-03-06T16:02:38.075837",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6739,
"structure": 0.539,
"depth": 0.9952,
"examples": 0.1892,
"multi_perspective": 0.6038,
"scientific_rigor": 0.3386,
"ethical_awareness": 0.6423,
"coherence": 0.3051,
"overall": 0.556,
"word_count": 481.038,
"sentence_count": 26.9796
},
"time_seconds": 4.9757068157196045
},
{
"stage": "evaluate",
"adapter": "philosophy",
"timestamp": "2026-03-06T16:02:41.681595",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6708,
"structure": 0.5539,
"depth": 0.9954,
"examples": 0.2086,
"multi_perspective": 0.7429,
"scientific_rigor": 0.3596,
"ethical_awareness": 0.6223,
"coherence": 0.322,
"overall": 0.5766,
"word_count": 487.796,
"sentence_count": 27.2695
},
"time_seconds": 3.604151725769043
},
{
"stage": "evaluate",
"adapter": "quantum",
"timestamp": "2026-03-06T16:02:46.369409",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6715,
"structure": 0.5513,
"depth": 0.9953,
"examples": 0.2364,
"multi_perspective": 0.6332,
"scientific_rigor": 0.4823,
"ethical_awareness": 0.5369,
"coherence": 0.3093,
"overall": 0.5766,
"word_count": 485.6675,
"sentence_count": 27.0405
},
"time_seconds": 4.686640501022339
},
{
"stage": "evaluate",
"adapter": "consciousness",
"timestamp": "2026-03-06T16:02:52.987859",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "evaluated",
"total_responses": 3000,
"scores": {
"clarity": 0.6737,
"structure": 0.5502,
"depth": 0.995,
"examples": 0.1562,
"multi_perspective": 0.6352,
"scientific_rigor": 0.4539,
"ethical_awareness": 0.527,
"coherence": 0.3116,
"overall": 0.5639,
"word_count": 480.927,
"sentence_count": 26.233
},
"time_seconds": 6.606791973114014
},
{
"stage": "evaluate",
"adapter": "multi_perspective",
"timestamp": "2026-03-06T16:02:57.360888",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "evaluated",
"total_responses": 2500,
"scores": {
"clarity": 0.6794,
"structure": 0.5751,
"depth": 0.9946,
"examples": 0.2636,
"multi_perspective": 0.6804,
"scientific_rigor": 0.3641,
"ethical_awareness": 0.6183,
"coherence": 0.3056,
"overall": 0.5788,
"word_count": 473.7724,
"sentence_count": 25.8072
},
"time_seconds": 4.371859550476074
},
{
"stage": "evaluate",
"adapter": "systems_architecture",
"timestamp": "2026-03-06T16:03:01.915162",
"pipeline_run": "2026-03-06T15:13:39.116054",
"status": "evaluated",
"total_responses": 2000,
"scores": {
"clarity": 0.6775,
"structure": 0.5551,
"depth": 0.9955,
"examples": 0.1941,
"multi_perspective": 0.613,
"scientific_rigor": 0.411,
"ethical_awareness": 0.5426,
"coherence": 0.2938,
"overall": 0.5602,
"word_count": 486.2455,
"sentence_count": 26.4785
},
"time_seconds": 4.553122520446777
},
{
"stage": "pipeline",
"adapter": null,
"timestamp": "2026-03-06T16:03:01.915609",
"pipeline_run": "2026-03-06T15:13:39.116054",
"total_time_seconds": 2962.73135304451,
"stages_run": [
"generate",
"validate",
"forge",
"train",
"evaluate"
],
"adapters_processed": [
"newton",
"davinci",
"empathy",
"philosophy",
"quantum",
"consciousness",
"multi_perspective",
"systems_architecture"
]
}
]