Training update: 3,716/238,059 rows (1.56%) | +100 new @ 2025-10-21 19:58:48

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 **1.52%** of planned data.
+- Status: **Early version** — trained on **1.56%** 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 (1.52%) 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 (1.56%) 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**: 3,616 / 238,053 (1.52%)
+- **Trained records**: 3,716 / 238,059 (1.56%)
 - **Learning rate**: 5e-05
 - **Epochs**: 3
 - **Batch size**: 16

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:205ba5f4cb58350b27ba62c1745676e7f212470e7dcb433bd6aef6e1aae3f0b1
+oid sha256:d8c4f2c74eac9288fe8275913270b585ff44c9891f1c607953ebf5bd0ef12046
 size 17671560

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:3e5ce17e4aa5b232c83d49e994b7567ae2991a6c449d435327b7bd303e386c3e
+oid sha256:8b0de0ca6cde8a24e77a0bb4ac811bee5254a0cbbb10e29d026b04518f5880af
 size 5905

training_metadata.json

@@ -1,11 +1,11 @@
 {
-  "trained_at": 1761072405.7358313,
-  "trained_at_readable": "2025-10-21 18:46:45",
-  "samples_this_session": 100,
+  "trained_at": 1761076728.7500098,
+  "trained_at_readable": "2025-10-21 19:58:48",
+  "samples_this_session": 2005,
   "new_rows_this_session": 100,
-  "trained_rows_total": 3616,
-  "total_db_rows": 238053,
-  "percentage": 1.518989468731753,
+  "trained_rows_total": 3716,
+  "total_db_rows": 238059,
+  "percentage": 1.5609575777433324,
   "final_loss": 0,
   "epochs": 3,
   "learning_rate": 5e-05