Training update: 138,933/240,650 rows (57.73%) | +611 new @ 2025-10-30 15:09:05

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 **57.63%** of planned data.
+- Status: **Early version** — trained on **57.73%** 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 (57.63%) 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 (57.73%) 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**: 240,643
-- **Rows processed (cumulative)**: 138,687 (57.63%)
-- **Training date**: 2025-10-30 14:05:58
+- **Total database rows**: 240,650
+- **Rows processed (cumulative)**: 138,933 (57.73%)
+- **Training date**: 2025-10-30 15:09:05
 
 ### Post-Training Metrics
 - **Final training loss**: 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e41f118a3a931c2c705cfad3d6cbec3c968fc6cf85a2e1f0a9a7a95e8c597da0
+oid sha256:56360e270cfe159826cf5ba242e42b1a7074255fcf3c3ce88ae20b2fcbb336bf
 size 17671560

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1bb44a785e53dff41a420152d79b99884e11e26be4b37cc011b4774192341bb1
+oid sha256:8bb8341daebc083f35488183c3b1025677bf8d050f06ac85941e1eb334122676
 size 5905

training_metadata.json

@@ -1,11 +1,11 @@
 {
-  "trained_at": 1761833158.3716147,
-  "trained_at_readable": "2025-10-30 14:05:58",
-  "samples_this_session": 1988,
-  "new_rows_this_session": 247,
-  "trained_rows_total": 138687,
-  "total_db_rows": 240643,
-  "percentage": 57.63184468278737,
+  "trained_at": 1761836945.2450624,
+  "trained_at_readable": "2025-10-30 15:09:05",
+  "samples_this_session": 2212,
+  "new_rows_this_session": 611,
+  "trained_rows_total": 138933,
+  "total_db_rows": 240650,
+  "percentage": 57.7323914398504,
   "final_loss": 0,
   "epochs": 3,
   "learning_rate": 5e-05,