Training update: 1,605/237,675 rows (0.68%) | +1 new @ 2025-10-20 14:46:34

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 **0.67%** of planned data.
+- Status: **Early version** — trained on **0.68%** 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 (0.67%) 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 (0.68%) 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**: 1,604 / 237,670 (0.67%)
+- **Trained records**: 1,605 / 237,675 (0.68%)
 - **Learning rate**: 5e-05
 - **Epochs**: 3
 - **Batch size**: 1000

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:f2d318ce3fca050a5e12e28953e2cee0ca8e88c728d61dce2fbdfadab222baf7
+oid sha256:36b1979164148242dd143c94251e2fd04de71e6c9abc4ac33ccc3b83d7a95942
 size 17671560

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:dca25229300a355cef98d60eaf4a3a7cef71065db7756b7e92669fa5e3411743
+oid sha256:8cf701e8d9357e2aa72e7d0120e7ab35ed4957974dea6916938ec0100ad7d836
 size 5905

training_metadata.json

@@ -1,11 +1,11 @@
 {
-  "trained_at": 1760968010.8637605,
-  "trained_at_readable": "2025-10-20 13:46:50",
-  "samples_this_session": 2,
+  "trained_at": 1760971594.0733745,
+  "trained_at_readable": "2025-10-20 14:46:34",
+  "samples_this_session": 5,
   "new_rows_this_session": 1,
-  "trained_rows_total": 1604,
-  "total_db_rows": 237670,
-  "percentage": 0.6748853452265746,
+  "trained_rows_total": 1605,
+  "total_db_rows": 237675,
+  "percentage": 0.6752918901861786,
   "final_loss": 0,
   "epochs": 3,
   "learning_rate": 5e-05