Training update: 161,020/163,690 rows (98.37%) | +43 new @ 2025-11-10 22:02:51
Browse files- README.md +3 -3
- model.safetensors +1 -1
- training_args.bin +1 -1
- training_metadata.json +7 -7
README.md
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@@ -75,9 +75,9 @@ Since cybersecurity data often contains lengthy alert descriptions and execution
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- **LR scheduler**: Linear with warmup
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### Training Data
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- **Total database rows**: 163,
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- **Rows processed (cumulative)**: 161,
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- **Training date**: 2025-11-10
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### Post-Training Metrics
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- **Final training loss**:
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- **LR scheduler**: Linear with warmup
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### Training Data
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- **Total database rows**: 163,690
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- **Rows processed (cumulative)**: 161,020 (98.37%)
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- **Training date**: 2025-11-10 22:02:51
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### Post-Training Metrics
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- **Final training loss**:
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 17671560
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version https://git-lfs.github.com/spec/v1
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oid sha256:acce098b787a13369b20e9151ec6e5c636d0d633c93f175e9abcd04d83d67029
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size 17671560
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 5905
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version https://git-lfs.github.com/spec/v1
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oid sha256:5defe945884b2bc62241c645b7909ed47a10a909d5ffd0e0f929c7f1b941d013
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size 5905
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training_metadata.json
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{
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"trained_at":
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"trained_at_readable": "2025-11-10
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"samples_this_session":
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"new_rows_this_session":
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"trained_rows_total":
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"total_db_rows":
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"percentage": 98.
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"final_loss": 0,
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"epochs": 3,
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"learning_rate": 5e-05,
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{
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"trained_at": 1762812171.5920143,
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"trained_at_readable": "2025-11-10 22:02:51",
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"samples_this_session": 1624,
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"new_rows_this_session": 43,
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"trained_rows_total": 161020,
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"total_db_rows": 163690,
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"percentage": 98.3688679821614,
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"final_loss": 0,
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"epochs": 3,
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"learning_rate": 5e-05,
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