Training update: 155,892/241,785 rows (64.48%) | +23 new @ 2025-11-06 07:00:34

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 **64.47%** of planned data.
+- Status: **Early version** — trained on **64.48%** 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 (64.47%) 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 (64.48%) 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**: 241,769
-- **Rows processed (cumulative)**: 155,868 (64.47%)
-- **Training date**: 2025-11-06 06:12:28
+- **Total database rows**: 241,785
+- **Rows processed (cumulative)**: 155,892 (64.48%)
+- **Training date**: 2025-11-06 07:00:34
 
 ### Post-Training Metrics
 - **Final training loss**: 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9d5d21474b7849d2fce09fef6df53fa08878a780e876cf97d5d14308233adea3
+oid sha256:7530320b6f6f2ab37926fc58152406d024ba923e7148bf6e768f9c5cd140b0a7
 size 17671560

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c8aceee56cfcba89b13788dac2ab52412bb71df8819356fd0f4478d8c283a311
+oid sha256:8acb87b3e0b56c1d52a2bc7f7196f0d89c84f99a353186f270f9db3060cbef00
 size 5905

training_metadata.json

@@ -1,11 +1,11 @@
 {
-  "trained_at": 1762409548.4748416,
-  "trained_at_readable": "2025-11-06 06:12:28",
-  "samples_this_session": 1468,
-  "new_rows_this_session": 24,
-  "trained_rows_total": 155868,
-  "total_db_rows": 241769,
-  "percentage": 64.46980382100269,
+  "trained_at": 1762412434.8009582,
+  "trained_at_readable": "2025-11-06 07:00:34",
+  "samples_this_session": 1046,
+  "new_rows_this_session": 23,
+  "trained_rows_total": 155892,
+  "total_db_rows": 241785,
+  "percentage": 64.47546373844531,
   "final_loss": 0,
   "epochs": 3,
   "learning_rate": 5e-05,