Update README.md

README.md

@@ -26,12 +26,18 @@ Running under the **JiRackTrain** pipeline on the enterprise infrastructure clus
 - **Tokenizer**: [JiRack Pro Tokenizer (128K)](https://huggingface.co/CMSManhattan/JiRack-Pro-Tokenizer-128K) — 347 active language editions of Wikipedia + specialized robotic action tokens
 - **Pre-training Dataset**: [JiRack-Pretrain-Dataset](https://huggingface.co/datasets/CMSManhattan/JiRack-Pretrain-Dataset)
 
-## Key Metrics (Step ~838/1000 on Shard 1)
-
-- **Iteration Speed**: ~242–352 seconds per iteration (network tensor loading)
-- **Current Loss**: 2.9678
-- **Moving Average Loss**: 6.0920
-- **Perplexity (PPL)**: 442.33
+## Key Metrics (Step ~838/1000 on Shard 7) on Blackwell 96 Gb VRAM
+
+- **Iteration Speed**:  2.36s/it (network tensor loading)
+- **Current Loss**: 1.2665
+- **Moving Average Loss**: 1.6637
+- **Perplexity (PPL)**: ppl=5.3
+
+```bash
+[Shard 8/100] jirack_pretrain_chunk_7.pt
+Training jirack_pretrain_chunk_7.pt:  83%|█████▊ | 208/250 [08:09<01:38,  2.36s/it, loss=1.2665, avg_loss=1.6637, ppl=5.3, lr=2.00e-04]
+[0] 0:python3*                                                                                  "mc [root@809e0ca1a59e" 19:45 04-Jul-26
+```
 
 Engineers anticipate a **steep drop** in the perplexity curve within the first 250 iterations of Shard 1 as the ternary weights align with the tokenizer's token distributions.