Training update: 163,286/336,552 rows (48.52%) | +519 new @ 2026-03-12 08:11:01

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 **48.51%** of planned data.
+- Status: **Early version** — trained on **48.52%** of planned data.
 
 **Model sources**  
 - Base model: [boltuix/bert-micro](https://huggingface.co/boltuix/bert-micro)
@@ -51,7 +51,7 @@ 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 (48.51%) 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 (48.52%) 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.**
 
@@ -75,9 +75,9 @@ Since cybersecurity data often contains lengthy alert descriptions and execution
 - **LR scheduler**: Linear with warmup
 
 ### Training Data
-- **Total database rows**: 336,595
-- **Rows processed (cumulative)**: 163,266 (48.51%)
-- **Training date**: 2026-03-11 17:28:51
+- **Total database rows**: 336,552
+- **Rows processed (cumulative)**: 163,286 (48.52%)
+- **Training date**: 2026-03-12 08:11:01
 
 ### Post-Training Metrics
 - **Final training loss**: 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9449769c8a4adb8d8e6b772c68d8e2627d2942c58e06b0f86a439942d9ec8e50
+oid sha256:a23d19adbcf78a7f23a28e2be8da3abe97d354fa11ba750bc9fc58ae8f084bee
 size 17671552

training_metadata.json

@@ -1,11 +1,11 @@
 {
-  "trained_at": 1773250131.4669418,
-  "trained_at_readable": "2026-03-11 17:28:51",
-  "samples_this_session": 807,
-  "new_rows_this_session": 20,
-  "trained_rows_total": 163266,
-  "total_db_rows": 336595,
-  "percentage": 48.50517684457583,
+  "trained_at": 1773303061.0043788,
+  "trained_at_readable": "2026-03-12 08:11:01",
+  "samples_this_session": 1007,
+  "new_rows_this_session": 519,
+  "trained_rows_total": 163286,
+  "total_db_rows": 336552,
+  "percentage": 48.517316789084596,
   "final_loss": 0,
   "epochs": 3,
   "learning_rate": 5e-05,