Training update: 147,069/241,165 rows (60.98%) | +119 new @ 2025-11-02 05:00:41

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 **60.95%** of planned data.
+- Status: **Early version** — trained on **60.98%** 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 (60.95%) 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 (60.98%) 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**: 241,156
-- **Rows processed (cumulative)**: 146,973 (60.95%)
-- **Training date**: 2025-11-02 04:13:18
+- **Total database rows**: 241,165
+- **Rows processed (cumulative)**: 147,069 (60.98%)
+- **Training date**: 2025-11-02 05:00:41
 
 ### Post-Training Metrics
 - **Final training loss**: 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d5980126cde46f9696c6fd892a9df2901e8a5b137e56e952d7c8da4823ced2f3
+oid sha256:09def72da57637c67cf53480204afc39b410d1936810d4f7f21c6ffc53a20d94
 size 17671560

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:77366660eca1ff54ce591c30df76903fdb3f94e58b5ff8fffe15cada839d141c
+oid sha256:febb90d24eee5d9f5de1f6aeb109ead187bd79a13238d2d17dafdf373d5231ea
 size 5905

training_metadata.json

@@ -1,11 +1,11 @@
 {
-  "trained_at": 1762056798.0185485,
-  "trained_at_readable": "2025-11-02 04:13:18",
-  "samples_this_session": 1699,
-  "new_rows_this_session": 96,
-  "trained_rows_total": 146973,
-  "total_db_rows": 241156,
-  "percentage": 60.94519729967324,
+  "trained_at": 1762059641.4709039,
+  "trained_at_readable": "2025-11-02 05:00:41",
+  "samples_this_session": 1506,
+  "new_rows_this_session": 119,
+  "trained_rows_total": 147069,
+  "total_db_rows": 241165,
+  "percentage": 60.98272966641096,
   "final_loss": 0,
   "epochs": 3,
   "learning_rate": 5e-05,