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Update SRSN-24M Model Card with Step 1300 / 54th Consecutive Checkpoint Milestone

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  1. README.md +8 -7
README.md CHANGED
@@ -46,13 +46,13 @@ By casting sequence recurrence as a continuous-discrete Hamiltonian dynamical sy
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  - **Target Architecture:** Continuous-Discrete Port-Hamiltonian Neural Network (SDOC)
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  - **Parameters:** 24,117,248 (24.1M)
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  - **Hardware:** AMD Ryzen 5 3550H (4 Cores / 8 Threads, AVX2 SIMD, Zen+ 12nm)
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- - **Active Step:** **Step 1280 / 3250 ($\mu\text{Step } 10,240 / 26,000$)**
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- - **Tokens Processed:** **$41.9\text{ Million Tokens}$**
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  - **Sustained Throughput:** **220–260 tokens/second** ($100\%$ CPU utilization across 8 threads)
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- - **Resident Set Memory (RSS):** **675.4 MB** (constant footprint across days of pretraining)
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- - **Spectral Dispersion:** Expanded from $\sigma(\alpha) = 0.003062 \to \mathbf{0.031870}$ (**$+940.8\%$ expansion across 53 consecutive checkpoints without a single non-monotonic reversal!**)
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- - **Non-Linear Double-Wells:** **36 Confirmed Macroscopic Double-Well Attractors** ($|\alpha| > \omega^2$, with vanguard well $\min(\alpha) = -0.231140$)
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- - **Validation Loss:** Shattered from $8.0554 \to \mathbf{6.4873}$ (campaign all-time low)
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@@ -69,7 +69,8 @@ By casting sequence recurrence as a continuous-discrete Hamiltonian dynamical sy
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  | **1100** | **6.4873** | -0.21667 | +0.21105 | 0.03086 | **38** | All-time low validation loss basin |
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  | **1200** | 6.6883 | -0.22790 | +0.21299 | 0.03131 | **32** | 50th Consecutive Monotonic Checkpoint |
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  | **1250** | 7.0108 | -0.23001 | +0.21352 | 0.03171 | **35** | 10,000 Micro-Steps landmark |
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- | **1275** | 6.9344 | **-0.23114** | +0.21083 | **0.03187** | **36** | 53rd Consecutive Monotonic Checkpoint |
 
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  - **Target Architecture:** Continuous-Discrete Port-Hamiltonian Neural Network (SDOC)
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  - **Parameters:** 24,117,248 (24.1M)
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  - **Hardware:** AMD Ryzen 5 3550H (4 Cores / 8 Threads, AVX2 SIMD, Zen+ 12nm)
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+ - **Active Step:** **Step 1300 / 3250 ($\mu\text{Step } 10,400 / 26,000$)**
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+ - **Tokens Processed:** **$42.59\text{ Million Tokens}$**
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  - **Sustained Throughput:** **220–260 tokens/second** ($100\%$ CPU utilization across 8 threads)
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+ - **Resident Set Memory (RSS):** **675–708 MB** (constant footprint across days of pretraining)
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+ - **Spectral Dispersion:** Expanded from $\sigma(\alpha) = 0.003062 \to \mathbf{0.031947}$ (**$+943.3\%$ expansion across 54 consecutive checkpoints without a single non-monotonic reversal!**)
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+ - **Non-Linear Double-Wells:** **32 Confirmed Macroscopic Double-Well Attractors** ($|\alpha| > \omega^2$, with vanguard well $\min(\alpha) = -0.229447$)
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+ - **Validation Loss Basin:** Plunged to **`6.7166`** (with spontaneous emergence of emotional and cognitive narrative verbs: *"felt"*, *"playing"*, *"eyes"*, *"were"*)
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  | **1100** | **6.4873** | -0.21667 | +0.21105 | 0.03086 | **38** | All-time low validation loss basin |
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  | **1200** | 6.6883 | -0.22790 | +0.21299 | 0.03131 | **32** | 50th Consecutive Monotonic Checkpoint |
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  | **1250** | 7.0108 | -0.23001 | +0.21352 | 0.03171 | **35** | 10,000 Micro-Steps landmark |
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+ | **1275** | 6.9344 | **-0.23114** | +0.21083 | 0.03187 | **36** | 53rd Consecutive Monotonic Checkpoint |
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+ | **1300** | 6.9825 | -0.22945 | +0.20920 | **0.03195** | **32** | 54th Consecutive Monotonic Checkpoint (42.59M tokens) |
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