LLM-OS-Models/KoHRM-Text-1.4B-FullSFT-LFM25-Terminal-ToolBench-Epoch3
KoHRM-Text-1.4B FullSFT LFM25 Terminal ToolBench Epoch3
This repository is the third full-SFT epoch of KoHRM-Text-1.4B on the LFM25/ToolBench terminal dataset. It is a fine-tuned version of `LLM-OS-Models/KoHRM-Text-1.4B` and continues from the Epoch2 checkpoint.
Training
- Base model:
LLM-OS-Models/KoHRM-Text-1.4B - Parent checkpoint:
LLM-OS-Models/KoHRM-Text-1.4B-FullSFT-LFM25-Terminal-ToolBench-Epoch2 - Dataset:
kohrm_sft_lfm25_terminal_toolbench_full_v1 - Training type: full-parameter SFT, not LoRA
- Total SFT epochs on this dataset:
3 - Epoch3 hardware:
8 x NVIDIA H200 - Global batch size:
180224tokens - Learning rate:
2e-5 - Epoch3 training wall time: about
3h 16m 30s - Final train loss:
0.5271
TB2-lite Result
Evaluation file:
tb2_lite/results/20260606T_kohrm_lfm25_epoch3_eval_sdpa8_b16/KoHRM-Text-1.4B-fullsft-lfm25-terminal-toolbench-epoch3-sdpa8-b16-nocompile-merged.json
Score = 100 * avg_command_f1.
Interpretation
Epoch3 is not the current best KoHRM terminal checkpoint. It scored 43.57, which is -2.33 versus Epoch2 45.90. The representative KoHRM terminal checkpoint remains Epoch2.
What improved:
- First Cmd increased slightly from
44.9%to45.5%. model_trainingreached F10.4910.
What regressed:
- Cmd F1 fell from
0.4590to0.4357. - Precision fell from
0.5031to0.4703. - Valid JSON fell from
68.3%to61.7%.
Strong source groups:
data_querying:0.6150(15 steps, First Cmd53.3%)data_science:0.5940(22 steps, First Cmd63.6%)model_training:0.4910(17 steps, First Cmd17.6%)debugging:0.4727(38 steps, First Cmd52.6%)software_engineering:0.4591(36 steps, First Cmd55.6%)scientific_computing:0.4491(20 steps, First Cmd55.0%)
Weak source groups:
math:0.3150(16 steps, First Cmd25.0%)dependency_management:0.3580(15 steps, First Cmd33.3%)security:0.3580(23 steps, First Cmd34.8%)data_processing:0.3621(23 steps, First Cmd43.5%)swe:0.3815(23 steps, First Cmd39.1%)file_operations:0.3875(20 steps, First Cmd45.0%)
Usage Note
KoHRM-Text uses the HRM-Text PrefixLM runtime, not a standard vLLM chat-model path. For this evaluation the local HF export path was evaluated with KOHRM_FORCE_SDPA_KVCACHE=1 and KOHRM_DISABLE_INFERENCE_COMPILE=1 because the local flash-attention build does not support append-KV cache for this run.
