Training update: 161,094/163,763 rows (98.37%) | +9 new @ 2025-11-11 06:57:44
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**: 2025-11-11
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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**: 163,763
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- **Rows processed (cumulative)**: 161,094 (98.37%)
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- **Training date**: 2025-11-11 06:57:44
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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 sha256:70c2f01e5fc643711d91f27196f7a4e9cb5bb92d01d300c51ad7df00a8c70d18
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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 sha256:6133848d2bf4b6a89affae16ff3e642ab3c5324d7eaacfd732df955df9edd5fa
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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": "2025-11-11
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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": 1762844264.6847854,
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"trained_at_readable": "2025-11-11 06:57:44",
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"samples_this_session": 1167,
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"new_rows_this_session": 9,
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"trained_rows_total": 161094,
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"total_db_rows": 163763,
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"percentage": 98.37020572412571,
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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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