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📊 QAI Training Dashboard

LoRA fine-tuning, model evaluation, GPU monitoring, and autonomous training cycles

Demo Mode — Simulated Data
🎯Training Accuracy
92.4%
Best model — cycle #47
🔄Training Cycles
47
Autonomous cycles completed
📦Datasets
12
Active datasets across 3 categories
📈Accuracy Over Cycles
⏱️Training Duration (min)
🖥️System Resources
CPU34%
Memory61%
GPU (VRAM)78%
Disk45%
🤖Active Providers
ProviderStatusLatency
Azure OpenAIConnected142ms
OpenAIAvailable—
LMStudioOffline—
LocalReady<1ms
📋Recent Training Runs
CycleDatasetEpochsAccuracyDurationStatus
#47chat/aria_personality_v310092.4%28mPromoted
#46quantum/circuit_patterns5087.1%15mComplete
#45chat/multi_turn_dialogs10089.3%32mComplete
#44chat/aria_commands_v220091.7%54mPromoted
#43quantum/hybrid_ml5072.8%12mBelow threshold
#42chat/personality_v210088.5%26mComplete
#41vision/expressions250.0%2mFailed
🎯Autotrain
Idle
Next run: 02:00 UTC
Last: 12 jobs, 11 passed
⚛️Quantum Autorun
Running
Job: qiskit_vqc_sim
Progress: 67%
🔄Autonomous Training
Active
Cycle #47 complete
Next cycle in 18m