Update README.md

README.md

@@ -122,20 +122,6 @@ This synergistic combination creates a model that excels not only at providing a
 
 ### Training Results
 
-#### Performance Metrics
-- **Final Training Loss**: 0.003759
-- **Training Runtime**: 8,446.67 seconds (~2.35 hours)
-- **Training Samples per Second**: 156.929
-- **Training Steps per Second**: 4.904
-- **Total Training Steps**: 41,400
-- **Completed Epochs**: 4.999924559047633
-
-#### Resource Utilization
-- **Total Input Tokens Seen**: 2,531,530,240 tokens
-- **Total FLOPs**: 3.96 × 10²⁰
-- **DDP Timeout**: 180,000,000 seconds
-- **Plot Loss**: Enabled (training loss visualization available)
-
 ### Training Loss Curve
 The model training included comprehensive loss tracking and visualization. The training loss curve below shows the convergence pattern over the 41,400 training steps across 5 epochs: