Training update: 153,245/241,647 rows (63.42%) | +112 new @ 2025-11-05 08:13:30

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 **63.40%** of planned data.
+- Status: **Early version** — trained on **63.42%** 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 (63.40%) 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 (63.42%) 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**: 241,645
-- **Rows processed (cumulative)**: 153,192 (63.40%)
-- **Training date**: 2025-11-05 07:02:41
+- **Total database rows**: 241,647
+- **Rows processed (cumulative)**: 153,245 (63.42%)
+- **Training date**: 2025-11-05 08:13:30
 
 ### Post-Training Metrics
 - **Final training loss**: 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:712b7d5b344762ec5fb0bbb807ecf301ce4d96981eb9b38b92e0b458e30d2828
+oid sha256:98fc1b90355883e0a560e4e70aeee18e7c3cacf9e428d11a6d34854b254e9401
 size 17671560

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4634a1fb2bdee232c49cd8eb16ef2087639eefc6a8b1d9e88cdbe1e3d7e9739e
+oid sha256:0f15c05424b464b78f8506a50c59ec11c5d1355f87d36eeec4ee496f8ac7f12f
 size 5905

training_metadata.json

@@ -1,11 +1,11 @@
 {
-  "trained_at": 1762326161.3222275,
-  "trained_at_readable": "2025-11-05 07:02:41",
-  "samples_this_session": 1490,
-  "new_rows_this_session": 53,
-  "trained_rows_total": 153192,
-  "total_db_rows": 241645,
-  "percentage": 63.39547683585425,
+  "trained_at": 1762330410.1711712,
+  "trained_at_readable": "2025-11-05 08:13:30",
+  "samples_this_session": 1509,
+  "new_rows_this_session": 112,
+  "trained_rows_total": 153245,
+  "total_db_rows": 241647,
+  "percentage": 63.41688496029332,
   "final_loss": 0,
   "epochs": 3,
   "learning_rate": 5e-05,