Training update: 5,152/238,289 rows (2.16%) | +100 new @ 2025-10-22 10:49:19

README.md

@@ -21,7 +21,7 @@ library_name: transformers
 - Model type: fine-tuned lightweight BERT variant  
 - Languages: English & Indonesia
 - Finetuned from: `boltuix/bert-micro`
-- Status: **Early version** — trained on **2.15%** of planned data.
+- Status: **Early version** — trained on **2.16%** of planned data.
 
 **Model sources**  
 - Base model: [boltuix/bert-micro](https://huggingface.co/boltuix/bert-micro)
@@ -42,7 +42,7 @@ You can use this model to classify cybersecurity-related text — for example, w
 - Not tested for non-cybersecurity domains or out-of-distribution data.
 
 ## 3. Bias, Risks, and Limitations 
-Because the model is based on a small subset (2.15%) 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 (2.16%) 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.
@@ -62,7 +62,7 @@ predicted_class = logits.argmax(dim=-1).item()
 ```
 
 ## 5. Training Details
-- **Trained records**: 5,116 / 238,289 (2.15%)
+- **Trained records**: 5,152 / 238,289 (2.16%)
 - **Learning rate**: 5e-05
 - **Epochs**: 3
 - **Batch size**: 16

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:644ff84759b2e908e539cdbf40b4e99bd94f4bd4914ffebde08d3c1d36994d7e
 size 17671560

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:ac188671d5a71aaa93b9a0566bd5c1931d068b2521dd063e32ce38b3f7b57b8b
 size 5905

training_metadata.json

@@ -1,11 +1,11 @@
 {
-  "trained_at": 1761128694.1612766,
-  "trained_at_readable": "2025-10-22 10:24:54",
-  "samples_this_session": 6604,
+  "trained_at": 1761130159.5139692,
+  "trained_at_readable": "2025-10-22 10:49:19",
+  "samples_this_session": 389,
   "new_rows_this_session": 100,
-  "trained_rows_total": 5116,
+  "trained_rows_total": 5152,
   "total_db_rows": 238289,
-  "percentage": 2.1469727935406167,
+  "percentage": 2.162080498890003,
   "final_loss": 0,
   "epochs": 3,
   "learning_rate": 5e-05