Training update: 143,910/240,785 rows (59.77%) | +38 new @ 2025-10-31 18:09:57

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 **59.76%** of planned data.
+- Status: **Early version** — trained on **59.77%** 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 (59.76%) 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 (59.77%) 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**: 240,778
-- **Rows processed (cumulative)**: 143,900 (59.76%)
-- **Training date**: 2025-10-31 17:06:01
+- **Total database rows**: 240,785
+- **Rows processed (cumulative)**: 143,910 (59.77%)
+- **Training date**: 2025-10-31 18:09:57
 
 ### Post-Training Metrics
 - **Final training loss**: 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f1a1c256f0fed806c69f3c39085e701481d25d75c7e5770ecf38d516d5d13503
+oid sha256:3473fd4ce6adfefd64e6e594951124901fedae8312509919ad767fc8212eb4dd
 size 17671560

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c8982ca3312f4ab25bb4d344b476130ff24bb49218ce78bc1bb6c7977bd4648f
+oid sha256:894c71d6c355a7cc9a98e2c5d9741c3e4c961781f1ad8bb3e2badef69888a9c8
 size 5905

training_metadata.json

@@ -1,11 +1,11 @@
 {
-  "trained_at": 1761930361.897279,
-  "trained_at_readable": "2025-10-31 17:06:01",
-  "samples_this_session": 1786,
-  "new_rows_this_session": 10,
-  "trained_rows_total": 143900,
-  "total_db_rows": 240778,
-  "percentage": 59.764596433228945,
+  "trained_at": 1761934197.1529393,
+  "trained_at_readable": "2025-10-31 18:09:57",
+  "samples_this_session": 1373,
+  "new_rows_this_session": 38,
+  "trained_rows_total": 143910,
+  "total_db_rows": 240785,
+  "percentage": 59.76701206470503,
   "final_loss": 0,
   "epochs": 3,
   "learning_rate": 5e-05,