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sure to have access to it at https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct.\n401 Client Error. 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(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": 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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": 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"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": 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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", 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