Training update: 14,599/238,556 rows (6.12%) | +3482 new @ 2025-10-23 08:23:30

README.md

@@ -25,7 +25,7 @@ pipeline_tag: fill-mask
 - Model type: fine-tuned lightweight BERT variant  
 - Languages: English & Indonesia
 - Finetuned from: `boltuix/bert-micro`
-- Status: **Early version** — trained on **5.31%** of planned data.
+- Status: **Early version** — trained on **6.12%** of planned data.
 **Model sources**  
 - Base model: [boltuix/bert-micro](https://huggingface.co/boltuix/bert-micro)
 - Data: Cybersecurity Data
@@ -50,7 +50,7 @@ You can use this model to classify cybersecurity-related text — for example, w
 - Early classification of SIEM alert & events.
 
 ## 3. Bias, Risks, and Limitations 
-Because the model is based on a small subset (5.31%) of planned data, performance is preliminary and may degrade on unseen or specialized domains (industrial control, IoT logs, foreign language).
+Because the model is based on a small subset (6.12%) of planned data, performance is preliminary and may degrade on unseen or specialized domains (industrial control, IoT logs, foreign language).
 - Inherits any biases present in the base model (`boltuix/bert-micro`) and in the fine-tuning data — e.g., over-representation of certain threat types, vendor or tooling-specific vocabulary.
 - **Should not be used as sole authority for incident decisions; only as an aid to human analysts.**
 
@@ -74,9 +74,9 @@ Since cybersecurity data often contains lengthy alert descriptions and execution
 - **LR scheduler**: Linear with warmup
 
 ### Training Data
-- **Total database rows**: 238,520
-- **Rows processed (cumulative)**: 12,676 (5.31%)
-- **Training date**: 2025-10-23 07:43:06
+- **Total database rows**: 238,556
+- **Rows processed (cumulative)**: 14,599 (6.12%)
+- **Training date**: 2025-10-23 08:23:30
 
 ### Post-Training Metrics
 - **Final training loss**: 

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training_metadata.json

@@ -1,11 +1,11 @@
 {
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-  "trained_at_readable": "2025-10-23 07:43:06",
-  "samples_this_session": 7524,
-  "new_rows_this_session": 2059,
-  "trained_rows_total": 12676,
-  "total_db_rows": 238520,
-  "percentage": 5.314439040751299,
+  "trained_at": 1761207810.4960542,
+  "trained_at_readable": "2025-10-23 08:23:30",
+  "samples_this_session": 4716,
+  "new_rows_this_session": 3482,
+  "trained_rows_total": 14599,
+  "total_db_rows": 238556,
+  "percentage": 6.119737084793508,
   "final_loss": 0,
   "epochs": 3,
   "learning_rate": 5e-05,