Training update: 142,938/240,718 rows (59.38%) | +327 new @ 2025-10-31 09:00:08

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 **59.35%** of planned data.
+- Status: **Early version** — trained on **59.38%** 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 (59.35%) 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 (59.38%) 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**: 240,714
-- **Rows processed (cumulative)**: 142,862 (59.35%)
-- **Training date**: 2025-10-31 07:01:59
+- **Total database rows**: 240,718
+- **Rows processed (cumulative)**: 142,938 (59.38%)
+- **Training date**: 2025-10-31 09:00:08
 
 ### Post-Training Metrics
 - **Final training loss**: 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:191c4afb84d683508235eabc15347d57f9cf9426ecea82288b42e276e5d5b735
+oid sha256:70794b4339e5e64d9468abcccdb23a70e623b40f622fd15f42c5cb8af856faae
 size 17671560

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fea4adfa0e3a065a5822d565ce4b2bd27745351d7126901c0b4f8b8da465ab64
+oid sha256:e3c175ef82607c3ef1656fcdd0e147b1fea3647e3ab4756986f2e1dd4f30443a
 size 5905

training_metadata.json

@@ -1,11 +1,11 @@
 {
-  "trained_at": 1761894119.1273406,
-  "trained_at_readable": "2025-10-31 07:01:59",
-  "samples_this_session": 1504,
-  "new_rows_this_session": 76,
-  "trained_rows_total": 142862,
-  "total_db_rows": 240714,
-  "percentage": 59.34926925729289,
+  "trained_at": 1761901208.9653575,
+  "trained_at_readable": "2025-10-31 09:00:08",
+  "samples_this_session": 1561,
+  "new_rows_this_session": 327,
+  "trained_rows_total": 142938,
+  "total_db_rows": 240718,
+  "percentage": 59.37985526632823,
   "final_loss": 0,
   "epochs": 3,
   "learning_rate": 5e-05,