Training update: 7,396/238,461 rows (3.10%) | +358 new @ 2025-10-23 04:06:52

README.md

@@ -74,12 +74,12 @@ Since cybersecurity data often contains lengthy alert descriptions and execution
 - **LR scheduler**: Linear with warmup
 
 ### Training Data
-- **Total database rows**: 238,453
-- **Rows processed (cumulative)**: 7,394 (3.10%)
-- **Rows in this session**: 2
-- **Training samples (after chunking)**: 36
-- **Training date**: 2025-10-23 03:13:01
+- **Total database rows**: 238,461
+- **Rows processed (cumulative)**: 7,396 (3.10%)
+- **Rows in this session**: 358
+- **Training samples (after chunking)**: 5,575
+- **Training date**: 2025-10-23 04:06:52
 
 ### Post-Training Metrics
-- **Final training loss**: 0.0000
-- **Rows→Samples ratio**: 18.00x (average chunks per row)
+- **Final training loss**: 
+- **Rows→Samples ratio**: 

model.safetensors

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 size 17671560

training_args.bin

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 size 5905

training_metadata.json

@@ -1,11 +1,11 @@
 {
-  "trained_at": 1761189181.4690864,
-  "trained_at_readable": "2025-10-23 03:13:01",
-  "samples_this_session": 36,
-  "new_rows_this_session": 2,
-  "trained_rows_total": 7394,
-  "total_db_rows": 238453,
-  "percentage": 3.1008207068059535,
+  "trained_at": 1761192412.0134265,
+  "trained_at_readable": "2025-10-23 04:06:52",
+  "samples_this_session": 5575,
+  "new_rows_this_session": 358,
+  "trained_rows_total": 7396,
+  "total_db_rows": 238461,
+  "percentage": 3.1015553906089464,
   "final_loss": 0,
   "epochs": 3,
   "learning_rate": 5e-05,