Training update: 151,552/241,469 rows (62.76%) | +5 new @ 2025-11-04 00:57:06

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 **62.73%** of planned data.
+- Status: **Early version** — trained on **62.76%** 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 (62.73%) 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 (62.76%) 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**: 241,466
-- **Rows processed (cumulative)**: 151,462 (62.73%)
-- **Training date**: 2025-11-03 23:19:33
+- **Total database rows**: 241,469
+- **Rows processed (cumulative)**: 151,552 (62.76%)
+- **Training date**: 2025-11-04 00:57:06
 
 ### Post-Training Metrics
 - **Final training loss**: 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0f3e06a33be9a584281a1cc9e7582fd6dd483afe1a83ca2b07340e39ccb0b5cf
+oid sha256:71b1bfbfd3aab5e085874e879f4aaf30bb5376a83d82f560395b926558b35429
 size 17671560

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5a9c0130249cd1ff462d84983a6c67a2dcee30e75d42b82f125b1483303e60a7
+oid sha256:8b10133265fdcb8c15774540bc27d572f44576dc6a51d8b016b587b62b61881d
 size 5905

training_metadata.json

@@ -1,11 +1,11 @@
 {
-  "trained_at": 1762211973.7031536,
-  "trained_at_readable": "2025-11-03 23:19:33",
-  "samples_this_session": 1621,
-  "new_rows_this_session": 90,
-  "trained_rows_total": 151462,
-  "total_db_rows": 241466,
-  "percentage": 62.72601525680634,
+  "trained_at": 1762217826.0491579,
+  "trained_at_readable": "2025-11-04 00:57:06",
+  "samples_this_session": 2111,
+  "new_rows_this_session": 5,
+  "trained_rows_total": 151552,
+  "total_db_rows": 241469,
+  "percentage": 62.76250781673838,
   "final_loss": 0,
   "epochs": 3,
   "learning_rate": 5e-05,