Training update: 3,216/237,966 rows (1.35%) | +100 new @ 2025-10-21 12:46:52

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 **1.31%** of planned data.
+- Status: **Early version** — trained on **1.35%** 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 (1.31%) 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 (1.35%) 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**: 3,116 / 237,957 (1.31%)
+- **Trained records**: 3,216 / 237,966 (1.35%)
 - **Learning rate**: 5e-05
 - **Epochs**: 3
 - **Batch size**: 16

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:07a4997f2f3fef2ad620762e6881cab91388b8e74d57f3e02bd7cfb77380c6cc
 size 17671560

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:b0b2eaa8ba011381b88881ebf1ac7f911bc9f5b168b28cb4aec5ac57f58742ec
 size 5905

training_metadata.json

@@ -1,11 +1,11 @@
 {
-  "trained_at": 1761047299.4826186,
-  "trained_at_readable": "2025-10-21 11:48:19",
-  "samples_this_session": 400,
+  "trained_at": 1761050812.900622,
+  "trained_at_readable": "2025-10-21 12:46:52",
+  "samples_this_session": 100,
   "new_rows_this_session": 100,
-  "trained_rows_total": 3116,
-  "total_db_rows": 237957,
-  "percentage": 1.3094802842530373,
+  "trained_rows_total": 3216,
+  "total_db_rows": 237966,
+  "percentage": 1.3514535689972518,
   "final_loss": 0,
   "epochs": 3,
   "learning_rate": 5e-05