W2T: LoRA Weights Already Know What They Can Do
Paper • 2603.15990 • Published
Datasets:
run_id int64 | time string | run_name string | base_model string | dataset string | lr float64 | epochs int64 | batch_size int64 | grad_accum int64 | max_len int64 | warmup_ratio float64 | weight_decay float64 | lora_r int64 | lora_alpha int64 | lora_dropout float64 | target_modules string | seed int64 | test_loss float64 | test_ppl float64 | test_acc float64 | safetensors_path string | sidecar_config string | source_csv string | split string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 20260220_193352 | trial_000000 | meta-llama/Llama-3.2-3B | arc-easy | 0.000177 | 3 | 8 | 8 | 512 | 0.03 | 0.009418 | 8 | 16 | 0.069737 | q_proj,v_proj | 1,843,824,992 | 2.039149 | 7.684066 | 0.425084 | /scratch/u5ho/xh00542.u5ho/regression/lora_0/trial_000000/trial_000000.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_0/trial_000000/trial_000000_config.json | results_arc_easy_llama_task0.csv | train |
1 | 20260220_193116 | trial_000001 | meta-llama/Llama-3.2-3B | arc-easy | 0.000447 | 3 | 8 | 8 | 512 | 0.03 | 0.045039 | 16 | 32 | 0.012811 | q_proj,v_proj | 1,688,060,240 | 1.728282 | 5.630969 | 0.479377 | /scratch/u5ho/xh00542.u5ho/regression/lora_1/trial_000001/trial_000001.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_1/trial_000001/trial_000001_config.json | results_arc_easy_llama_task1.csv | train |
2 | 20260220_192804 | trial_000002 | meta-llama/Llama-3.2-3B | arc-easy | 0.000028 | 1 | 8 | 8 | 512 | 0.03 | 0.044341 | 16 | 32 | 0.082276 | q_proj,v_proj | 1,382,689,815 | 7.190574 | 1,326.864792 | 0.371212 | /scratch/u5ho/xh00542.u5ho/regression/lora_2/trial_000002/trial_000002.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_2/trial_000002/trial_000002_config.json | results_arc_easy_llama_task2.csv | train |
3 | 20260220_192757 | trial_000003 | meta-llama/Llama-3.2-3B | arc-easy | 0.000014 | 1 | 8 | 8 | 512 | 0.03 | 0.063166 | 8 | 32 | 0.082763 | q_proj,v_proj | 137,046,513 | 8.189624 | 3,603.365378 | 0.369108 | /scratch/u5ho/xh00542.u5ho/regression/lora_3/trial_000003/trial_000003.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_3/trial_000003/trial_000003_config.json | results_arc_easy_llama_task3.csv | train |
5 | 20260220_192824 | trial_000005 | meta-llama/Llama-3.2-3B | arc-easy | 0.000012 | 2 | 8 | 8 | 512 | 0.03 | 0.068305 | 8 | 16 | 0.015429 | q_proj,v_proj | 94,067,870 | 8.086884 | 3,251.538928 | 0.370791 | /scratch/u5ho/xh00542.u5ho/regression/lora_5/trial_000005/trial_000005.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_5/trial_000005/trial_000005_config.json | results_arc_easy_llama_task5.csv | train |
7 | 20260220_192802 | trial_000007 | meta-llama/Llama-3.2-3B | arc-easy | 0.000012 | 2 | 8 | 8 | 512 | 0.03 | 0.066981 | 4 | 32 | 0.022691 | q_proj,v_proj | 1,021,568,549 | 7.260397 | 1,422.821727 | 0.371633 | /scratch/u5ho/xh00542.u5ho/regression/lora_7/trial_000007/trial_000007.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_7/trial_000007/trial_000007_config.json | results_arc_easy_llama_task7.csv | train |
9 | 20260220_193209 | trial_000009 | meta-llama/Llama-3.2-3B | arc-easy | 0.000203 | 4 | 8 | 8 | 512 | 0.03 | 0.013975 | 8 | 32 | 0.06825 | q_proj,v_proj | 619,179,887 | 1.906336 | 6.728393 | 0.45202 | /scratch/u5ho/xh00542.u5ho/regression/lora_9/trial_000009/trial_000009.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_9/trial_000009/trial_000009_config.json | results_arc_easy_llama_task9.csv | train |
10 | 20260220_193206 | trial_000010 | meta-llama/Llama-3.2-3B | arc-easy | 0.000013 | 4 | 8 | 8 | 512 | 0.03 | 0.070517 | 4 | 32 | 0.066485 | q_proj,v_proj | 1,689,907,231 | 3.54527 | 34.649049 | 0.372896 | /scratch/u5ho/xh00542.u5ho/regression/lora_10/trial_000010/trial_000010.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_10/trial_000010/trial_000010_config.json | results_arc_easy_llama_task10.csv | train |
11 | 20260220_193215 | trial_000011 | meta-llama/Llama-3.2-3B | arc-easy | 0.000182 | 3 | 8 | 8 | 512 | 0.03 | 0.011453 | 8 | 16 | 0.01398 | q_proj,v_proj | 1,221,362,417 | 2.039923 | 7.690014 | 0.423401 | /scratch/u5ho/xh00542.u5ho/regression/lora_11/trial_000011/trial_000011.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_11/trial_000011/trial_000011_config.json | results_arc_easy_llama_task11.csv | train |
12 | 20260220_192952 | trial_000012 | meta-llama/Llama-3.2-3B | arc-easy | 0.000109 | 3 | 8 | 8 | 512 | 0.03 | 0.063472 | 8 | 32 | 0.0765 | q_proj,v_proj | 1,213,835,294 | 2.042019 | 7.70615 | 0.421717 | /scratch/u5ho/xh00542.u5ho/regression/lora_12/trial_000012/trial_000012.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_12/trial_000012/trial_000012_config.json | results_arc_easy_llama_task12.csv | train |
13 | 20260220_192739 | trial_000013 | meta-llama/Llama-3.2-3B | arc-easy | 0.000064 | 1 | 8 | 8 | 512 | 0.03 | 0.043672 | 8 | 32 | 0.003082 | q_proj,v_proj | 652,727,864 | 4.019922 | 55.696774 | 0.377525 | /scratch/u5ho/xh00542.u5ho/regression/lora_13/trial_000013/trial_000013.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_13/trial_000013/trial_000013_config.json | results_arc_easy_llama_task13.csv | train |
14 | 20260220_192840 | trial_000014 | meta-llama/Llama-3.2-3B | arc-easy | 0.000013 | 2 | 8 | 8 | 512 | 0.03 | 0.00583 | 8 | 32 | 0.023394 | q_proj,v_proj | 1,832,669,143 | 6.906528 | 998.773694 | 0.369108 | /scratch/u5ho/xh00542.u5ho/regression/lora_14/trial_000014/trial_000014.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_14/trial_000014/trial_000014_config.json | results_arc_easy_llama_task14.csv | train |
15 | 20260220_193001 | trial_000015 | meta-llama/Llama-3.2-3B | arc-easy | 0.000018 | 4 | 8 | 8 | 512 | 0.03 | 0.07839 | 4 | 16 | 0.055703 | q_proj,v_proj | 1,421,454,890 | 3.754063 | 42.694185 | 0.371633 | /scratch/u5ho/xh00542.u5ho/regression/lora_15/trial_000015/trial_000015.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_15/trial_000015/trial_000015_config.json | results_arc_easy_llama_task15.csv | train |
16 | 20260220_192802 | trial_000016 | meta-llama/Llama-3.2-3B | arc-easy | 0.000107 | 2 | 8 | 8 | 512 | 0.03 | 0.002271 | 8 | 16 | 0.016697 | q_proj,v_proj | 1,748,095,464 | 2.629203 | 13.862724 | 0.37963 | /scratch/u5ho/xh00542.u5ho/regression/lora_16/trial_000016/trial_000016.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_16/trial_000016/trial_000016_config.json | results_arc_easy_llama_task16.csv | train |
17 | 20260220_192947 | trial_000017 | meta-llama/Llama-3.2-3B | arc-easy | 0.000008 | 4 | 8 | 8 | 512 | 0.03 | 0.050104 | 16 | 32 | 0.016127 | q_proj,v_proj | 991,873,798 | 5.808156 | 333.004357 | 0.369108 | /scratch/u5ho/xh00542.u5ho/regression/lora_17/trial_000017/trial_000017.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_17/trial_000017/trial_000017_config.json | results_arc_easy_llama_task17.csv | train |
18 | 20260220_192831 | trial_000018 | meta-llama/Llama-3.2-3B | arc-easy | 0.00001 | 2 | 8 | 8 | 512 | 0.03 | 0.030151 | 16 | 16 | 0.038102 | q_proj,v_proj | 958,113,305 | 8.263233 | 3,878.612301 | 0.369529 | /scratch/u5ho/xh00542.u5ho/regression/lora_18/trial_000018/trial_000018.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_18/trial_000018/trial_000018_config.json | results_arc_easy_llama_task18.csv | train |
19 | 20260220_192914 | trial_000019 | meta-llama/Llama-3.2-3B | arc-easy | 0.000091 | 3 | 8 | 8 | 512 | 0.03 | 0.09619 | 8 | 32 | 0.011801 | q_proj,v_proj | 188,226,767 | 2.05331 | 7.793655 | 0.419613 | /scratch/u5ho/xh00542.u5ho/regression/lora_19/trial_000019/trial_000019.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_19/trial_000019/trial_000019_config.json | results_arc_easy_llama_task19.csv | train |
20 | 20260220_192837 | trial_000020 | meta-llama/Llama-3.2-3B | arc-easy | 0.000328 | 2 | 8 | 8 | 512 | 0.03 | 0.077875 | 16 | 16 | 0.096918 | q_proj,v_proj | 570,951,394 | 2.041162 | 7.699552 | 0.418771 | /scratch/u5ho/xh00542.u5ho/regression/lora_20/trial_000020/trial_000020.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_20/trial_000020/trial_000020_config.json | results_arc_easy_llama_task20.csv | train |
21 | 20260220_192932 | trial_000021 | meta-llama/Llama-3.2-3B | arc-easy | 0.000136 | 4 | 8 | 8 | 512 | 0.03 | 0.09026 | 8 | 32 | 0.009639 | q_proj,v_proj | 584,634,301 | 1.998753 | 7.379847 | 0.431818 | /scratch/u5ho/xh00542.u5ho/regression/lora_21/trial_000021/trial_000021.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_21/trial_000021/trial_000021_config.json | results_arc_easy_llama_task21.csv | train |
22 | 20260220_192911 | trial_000022 | meta-llama/Llama-3.2-3B | arc-easy | 0.000041 | 3 | 8 | 8 | 512 | 0.03 | 0.017677 | 4 | 32 | 0.057922 | q_proj,v_proj | 657,036,846 | 2.684825 | 14.655629 | 0.377946 | /scratch/u5ho/xh00542.u5ho/regression/lora_22/trial_000022/trial_000022.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_22/trial_000022/trial_000022_config.json | results_arc_easy_llama_task22.csv | train |
23 | 20260220_192757 | trial_000023 | meta-llama/Llama-3.2-3B | arc-easy | 0.000258 | 1 | 8 | 8 | 512 | 0.03 | 0.062731 | 16 | 16 | 0.043209 | q_proj,v_proj | 1,545,034,932 | 2.65435 | 14.215736 | 0.372054 | /scratch/u5ho/xh00542.u5ho/regression/lora_23/trial_000023/trial_000023.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_23/trial_000023/trial_000023_config.json | results_arc_easy_llama_task23.csv | train |
24 | 20260220_192755 | trial_000024 | meta-llama/Llama-3.2-3B | arc-easy | 0.000074 | 1 | 8 | 8 | 512 | 0.03 | 0.004161 | 8 | 16 | 0.041581 | q_proj,v_proj | 181,342,798 | 5.220844 | 185.090323 | 0.370791 | /scratch/u5ho/xh00542.u5ho/regression/lora_24/trial_000024/trial_000024.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_24/trial_000024/trial_000024_config.json | results_arc_easy_llama_task24.csv | train |
25 | 20260220_192736 | trial_000025 | meta-llama/Llama-3.2-3B | arc-easy | 0.000049 | 1 | 8 | 8 | 512 | 0.03 | 0.058764 | 4 | 16 | 0.01034 | q_proj,v_proj | 310,363,331 | 6.814076 | 910.574578 | 0.369949 | /scratch/u5ho/xh00542.u5ho/regression/lora_25/trial_000025/trial_000025.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_25/trial_000025/trial_000025_config.json | results_arc_easy_llama_task25.csv | train |
27 | 20260220_192802 | trial_000027 | meta-llama/Llama-3.2-3B | arc-easy | 0.000006 | 1 | 8 | 8 | 512 | 0.03 | 0.008273 | 16 | 16 | 0.078274 | q_proj,v_proj | 1,035,738,743 | 8.703527 | 6,024.122 | 0.366582 | /scratch/u5ho/xh00542.u5ho/regression/lora_27/trial_000027/trial_000027.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_27/trial_000027/trial_000027_config.json | results_arc_easy_llama_task27.csv | train |
28 | 20260220_192841 | trial_000028 | meta-llama/Llama-3.2-3B | arc-easy | 0.000047 | 3 | 8 | 8 | 512 | 0.03 | 0.047349 | 8 | 16 | 0.057173 | q_proj,v_proj | 2,013,966,975 | 2.802622 | 16.487827 | 0.362374 | /scratch/u5ho/xh00542.u5ho/regression/lora_28/trial_000028/trial_000028.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_28/trial_000028/trial_000028_config.json | results_arc_easy_llama_task28.csv | train |
29 | 20260220_192952 | trial_000029 | meta-llama/Llama-3.2-3B | arc-easy | 0.000017 | 4 | 8 | 8 | 512 | 0.03 | 0.002161 | 4 | 16 | 0.043891 | q_proj,v_proj | 1,118,135,469 | 3.955807 | 52.237828 | 0.374579 | /scratch/u5ho/xh00542.u5ho/regression/lora_29/trial_000029/trial_000029.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_29/trial_000029/trial_000029_config.json | results_arc_easy_llama_task29.csv | train |
31 | 20260220_192726 | trial_000031 | meta-llama/Llama-3.2-3B | arc-easy | 0.000111 | 1 | 8 | 8 | 512 | 0.03 | 0.076865 | 4 | 8 | 0.072699 | q_proj,v_proj | 1,416,099,324 | 5.143591 | 171.329958 | 0.37037 | /scratch/u5ho/xh00542.u5ho/regression/lora_31/trial_000031/trial_000031.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_31/trial_000031/trial_000031_config.json | results_arc_easy_llama_task31.csv | train |
32 | 20260220_193050 | trial_000032 | meta-llama/Llama-3.2-3B | arc-easy | 0.000008 | 3 | 8 | 8 | 512 | 0.03 | 0.055485 | 16 | 32 | 0.003741 | q_proj,v_proj | 494,380,780 | 6.978779 | 1,073.60625 | 0.368266 | /scratch/u5ho/xh00542.u5ho/regression/lora_32/trial_000032/trial_000032.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_32/trial_000032/trial_000032_config.json | results_arc_easy_llama_task32.csv | train |
33 | 20260220_193321 | trial_000033 | meta-llama/Llama-3.2-3B | arc-easy | 0.000028 | 2 | 8 | 8 | 512 | 0.03 | 0.09529 | 16 | 16 | 0.031714 | q_proj,v_proj | 1,735,706,818 | 5.662588 | 287.892828 | 0.370791 | /scratch/u5ho/xh00542.u5ho/regression/lora_33/trial_000033/trial_000033.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_33/trial_000033/trial_000033_config.json | results_arc_easy_llama_task33.csv | train |
36 | 20260220_192759 | trial_000036 | meta-llama/Llama-3.2-3B | arc-easy | 0.000302 | 1 | 8 | 8 | 512 | 0.03 | 0.077201 | 16 | 8 | 0.031593 | q_proj,v_proj | 1,114,239,843 | 2.782521 | 16.159703 | 0.357323 | /scratch/u5ho/xh00542.u5ho/regression/lora_36/trial_000036/trial_000036.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_36/trial_000036/trial_000036_config.json | results_arc_easy_llama_task36.csv | train |
37 | 20260220_192852 | trial_000037 | meta-llama/Llama-3.2-3B | arc-easy | 0.000105 | 2 | 8 | 8 | 512 | 0.03 | 0.026246 | 8 | 32 | 0.074679 | q_proj,v_proj | 202,865,624 | 2.109635 | 8.245229 | 0.422559 | /scratch/u5ho/xh00542.u5ho/regression/lora_37/trial_000037/trial_000037.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_37/trial_000037/trial_000037_config.json | results_arc_easy_llama_task37.csv | train |
40 | 20260220_192806 | trial_000040 | meta-llama/Llama-3.2-3B | arc-easy | 0.000179 | 2 | 8 | 8 | 512 | 0.03 | 0.001394 | 16 | 16 | 0.01439 | q_proj,v_proj | 1,075,333,508 | 2.088877 | 8.075841 | 0.418771 | /scratch/u5ho/xh00542.u5ho/regression/lora_40/trial_000040/trial_000040.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_40/trial_000040/trial_000040_config.json | results_arc_easy_llama_task40.csv | train |
41 | 20260220_192829 | trial_000041 | meta-llama/Llama-3.2-3B | arc-easy | 0.000014 | 2 | 8 | 8 | 512 | 0.03 | 0.050633 | 4 | 8 | 0.012183 | q_proj,v_proj | 1,455,260,919 | 8.347861 | 4,221.143103 | 0.366162 | /scratch/u5ho/xh00542.u5ho/regression/lora_41/trial_000041/trial_000041.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_41/trial_000041/trial_000041_config.json | results_arc_easy_llama_task41.csv | train |
42 | 20260220_193000 | trial_000042 | meta-llama/Llama-3.2-3B | arc-easy | 0.000122 | 4 | 8 | 8 | 512 | 0.03 | 0.071541 | 8 | 16 | 0.080412 | q_proj,v_proj | 429,014,944 | 2.040868 | 7.697286 | 0.422559 | /scratch/u5ho/xh00542.u5ho/regression/lora_42/trial_000042/trial_000042.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_42/trial_000042/trial_000042_config.json | results_arc_easy_llama_task42.csv | train |
43 | 20260220_192856 | trial_000043 | meta-llama/Llama-3.2-3B | arc-easy | 0.00015 | 4 | 8 | 8 | 512 | 0.03 | 0.039758 | 4 | 16 | 0.092756 | q_proj,v_proj | 265,759,269 | 2.019953 | 7.537968 | 0.430556 | /scratch/u5ho/xh00542.u5ho/regression/lora_43/trial_000043/trial_000043.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_43/trial_000043/trial_000043_config.json | results_arc_easy_llama_task43.csv | train |
44 | 20260220_192809 | trial_000044 | meta-llama/Llama-3.2-3B | arc-easy | 0.00002 | 1 | 8 | 8 | 512 | 0.03 | 0.028645 | 8 | 16 | 0.095562 | q_proj,v_proj | 1,423,490,056 | 8.344049 | 4,205.081192 | 0.367845 | /scratch/u5ho/xh00542.u5ho/regression/lora_44/trial_000044/trial_000044.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_44/trial_000044/trial_000044_config.json | results_arc_easy_llama_task44.csv | train |
45 | 20260220_192829 | trial_000045 | meta-llama/Llama-3.2-3B | arc-easy | 0.000354 | 2 | 8 | 8 | 512 | 0.03 | 0.01059 | 4 | 16 | 0.063398 | q_proj,v_proj | 1,192,278,716 | 2.028828 | 7.605165 | 0.42298 | /scratch/u5ho/xh00542.u5ho/regression/lora_45/trial_000045/trial_000045.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_45/trial_000045/trial_000045_config.json | results_arc_easy_llama_task45.csv | train |
46 | 20260220_192835 | trial_000046 | meta-llama/Llama-3.2-3B | arc-easy | 0.00001 | 3 | 8 | 8 | 512 | 0.03 | 0.093302 | 8 | 8 | 0.059604 | q_proj,v_proj | 2,074,967,230 | 8.335305 | 4,168.474322 | 0.366582 | /scratch/u5ho/xh00542.u5ho/regression/lora_46/trial_000046/trial_000046.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_46/trial_000046/trial_000046_config.json | results_arc_easy_llama_task46.csv | train |
48 | 20260220_192821 | trial_000048 | meta-llama/Llama-3.2-3B | arc-easy | 0.000228 | 2 | 8 | 8 | 512 | 0.03 | 0.060602 | 16 | 16 | 0.053077 | q_proj,v_proj | 499,592,188 | 2.059485 | 7.841931 | 0.411616 | /scratch/u5ho/xh00542.u5ho/regression/lora_48/trial_000048/trial_000048.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_48/trial_000048/trial_000048_config.json | results_arc_easy_llama_task48.csv | train |
51 | 20260220_192937 | trial_000051 | meta-llama/Llama-3.2-3B | arc-easy | 0.000155 | 4 | 8 | 8 | 512 | 0.03 | 0.059443 | 16 | 32 | 0.006656 | q_proj,v_proj | 226,082,954 | 1.994897 | 7.351448 | 0.43266 | /scratch/u5ho/xh00542.u5ho/regression/lora_51/trial_000051/trial_000051.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_51/trial_000051/trial_000051_config.json | results_arc_easy_llama_task51.csv | train |
52 | 20260220_192736 | trial_000052 | meta-llama/Llama-3.2-3B | arc-easy | 0.00001 | 1 | 8 | 8 | 512 | 0.03 | 0.092097 | 16 | 8 | 0.014387 | q_proj,v_proj | 666,438,637 | 8.706218 | 6,040.352113 | 0.367845 | /scratch/u5ho/xh00542.u5ho/regression/lora_52/trial_000052/trial_000052.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_52/trial_000052/trial_000052_config.json | results_arc_easy_llama_task52.csv | train |
53 | 20260220_192750 | trial_000053 | meta-llama/Llama-3.2-3B | arc-easy | 0.000011 | 1 | 8 | 8 | 512 | 0.03 | 0.002115 | 4 | 16 | 0.011549 | q_proj,v_proj | 329,882,253 | 8.604061 | 5,453.76082 | 0.367424 | /scratch/u5ho/xh00542.u5ho/regression/lora_53/trial_000053/trial_000053.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_53/trial_000053/trial_000053_config.json | results_arc_easy_llama_task53.csv | train |
54 | 20260220_192815 | trial_000054 | meta-llama/Llama-3.2-3B | arc-easy | 0.000006 | 1 | 8 | 8 | 512 | 0.03 | 0.068071 | 4 | 32 | 0.059114 | q_proj,v_proj | 114,636,826 | 8.59366 | 5,397.329776 | 0.36532 | /scratch/u5ho/xh00542.u5ho/regression/lora_54/trial_000054/trial_000054.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_54/trial_000054/trial_000054_config.json | results_arc_easy_llama_task54.csv | train |
56 | 20260220_192815 | trial_000056 | meta-llama/Llama-3.2-3B | arc-easy | 0.000006 | 2 | 8 | 8 | 512 | 0.03 | 0.057123 | 4 | 32 | 0.024939 | q_proj,v_proj | 508,405,738 | 8.312505 | 4,074.50755 | 0.369108 | /scratch/u5ho/xh00542.u5ho/regression/lora_56/trial_000056/trial_000056.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_56/trial_000056/trial_000056_config.json | results_arc_easy_llama_task56.csv | train |
57 | 20260220_192804 | trial_000057 | meta-llama/Llama-3.2-3B | arc-easy | 0.000034 | 2 | 8 | 8 | 512 | 0.03 | 0.010167 | 4 | 8 | 0.052375 | q_proj,v_proj | 802,330,252 | 6.608341 | 741.251967 | 0.36532 | /scratch/u5ho/xh00542.u5ho/regression/lora_57/trial_000057/trial_000057.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_57/trial_000057/trial_000057_config.json | results_arc_easy_llama_task57.csv | train |
59 | 20260220_192825 | trial_000059 | meta-llama/Llama-3.2-3B | arc-easy | 0.000319 | 1 | 8 | 8 | 512 | 0.03 | 0.064248 | 16 | 8 | 0.077948 | q_proj,v_proj | 1,722,337,462 | 2.774172 | 16.025357 | 0.364057 | /scratch/u5ho/xh00542.u5ho/regression/lora_59/trial_000059/trial_000059.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_59/trial_000059/trial_000059_config.json | results_arc_easy_llama_task59.csv | train |
61 | 20260220_194817 | trial_000061 | meta-llama/Llama-3.2-3B | arc-easy | 0.000042 | 4 | 8 | 8 | 512 | 0.03 | 0.013977 | 8 | 32 | 0.026646 | q_proj,v_proj | 1,373,451,665 | 2.122284 | 8.350188 | 0.427609 | /scratch/u5ho/xh00542.u5ho/regression/lora_0/trial_000061/trial_000061.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_0/trial_000061/trial_000061_config.json | results_arc_easy_llama_task0.csv | train |
62 | 20260220_194043 | trial_000062 | meta-llama/Llama-3.2-3B | arc-easy | 0.000045 | 1 | 8 | 8 | 512 | 0.03 | 0.036639 | 8 | 16 | 0.036751 | q_proj,v_proj | 499,440,143 | 7.070761 | 1,177.043824 | 0.37037 | /scratch/u5ho/xh00542.u5ho/regression/lora_1/trial_000062/trial_000062.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_1/trial_000062/trial_000062_config.json | results_arc_easy_llama_task1.csv | train |
63 | 20260220_193628 | trial_000063 | meta-llama/Llama-3.2-3B | arc-easy | 0.000023 | 2 | 8 | 8 | 512 | 0.03 | 0.094886 | 8 | 8 | 0.029688 | q_proj,v_proj | 1,472,622,620 | 7.850087 | 2,565.958062 | 0.368266 | /scratch/u5ho/xh00542.u5ho/regression/lora_2/trial_000063/trial_000063.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_2/trial_000063/trial_000063_config.json | results_arc_easy_llama_task2.csv | train |
64 | 20260220_193754 | trial_000064 | meta-llama/Llama-3.2-3B | arc-easy | 0.00034 | 4 | 8 | 8 | 512 | 0.03 | 0.084856 | 8 | 32 | 0.053543 | q_proj,v_proj | 705,150,317 | 0.140072 | 1.150357 | 0.808502 | /scratch/u5ho/xh00542.u5ho/regression/lora_3/trial_000064/trial_000064.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_3/trial_000064/trial_000064_config.json | results_arc_easy_llama_task3.csv | train |
65 | 20260220_193713 | trial_000065 | meta-llama/Llama-3.2-3B | arc-easy | 0.000101 | 1 | 8 | 8 | 512 | 0.03 | 0.028816 | 16 | 16 | 0.063292 | q_proj,v_proj | 1,144,012,375 | 3.861008 | 47.513203 | 0.378788 | /scratch/u5ho/xh00542.u5ho/regression/lora_4/trial_000065/trial_000065.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_4/trial_000065/trial_000065_config.json | results_arc_easy_llama_task4.csv | train |
66 | 20260220_193605 | trial_000066 | meta-llama/Llama-3.2-3B | arc-easy | 0.000147 | 1 | 8 | 8 | 512 | 0.03 | 0.01321 | 4 | 16 | 0.086072 | q_proj,v_proj | 1,492,067,619 | 2.926172 | 18.656078 | 0.365741 | /scratch/u5ho/xh00542.u5ho/regression/lora_5/trial_000066/trial_000066.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_5/trial_000066/trial_000066_config.json | results_arc_easy_llama_task5.csv | train |
67 | 20260220_193727 | trial_000067 | meta-llama/Llama-3.2-3B | arc-easy | 0.000085 | 3 | 8 | 8 | 512 | 0.03 | 0.093594 | 4 | 16 | 0.008449 | q_proj,v_proj | 1,558,462,443 | 2.140668 | 8.505121 | 0.423401 | /scratch/u5ho/xh00542.u5ho/regression/lora_6/trial_000067/trial_000067.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_6/trial_000067/trial_000067_config.json | results_arc_easy_llama_task6.csv | train |
68 | 20260220_193722 | trial_000068 | meta-llama/Llama-3.2-3B | arc-easy | 0.000009 | 4 | 8 | 8 | 512 | 0.03 | 0.078262 | 16 | 8 | 0.059368 | q_proj,v_proj | 1,719,885,671 | 7.984622 | 2,935.466715 | 0.369949 | /scratch/u5ho/xh00542.u5ho/regression/lora_7/trial_000068/trial_000068.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_7/trial_000068/trial_000068_config.json | results_arc_easy_llama_task7.csv | train |
70 | 20260220_194202 | trial_000070 | meta-llama/Llama-3.2-3B | arc-easy | 0.000085 | 1 | 8 | 8 | 512 | 0.03 | 0.046599 | 4 | 8 | 0.057243 | q_proj,v_proj | 1,213,222,199 | 6.234693 | 510.143874 | 0.372475 | /scratch/u5ho/xh00542.u5ho/regression/lora_9/trial_000070/trial_000070.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_9/trial_000070/trial_000070_config.json | results_arc_easy_llama_task9.csv | train |
71 | 20260220_194419 | trial_000071 | meta-llama/Llama-3.2-3B | arc-easy | 0.000055 | 3 | 8 | 8 | 512 | 0.03 | 0.059959 | 16 | 32 | 0.049215 | q_proj,v_proj | 1,716,364,958 | 2.210829 | 9.123277 | 0.41835 | /scratch/u5ho/xh00542.u5ho/regression/lora_10/trial_000071/trial_000071.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_10/trial_000071/trial_000071_config.json | results_arc_easy_llama_task10.csv | train |
73 | 20260220_193902 | trial_000073 | meta-llama/Llama-3.2-3B | arc-easy | 0.000034 | 4 | 8 | 8 | 512 | 0.03 | 0.089837 | 16 | 8 | 0.033364 | q_proj,v_proj | 1,441,458,483 | 3.1497 | 23.32907 | 0.377946 | /scratch/u5ho/xh00542.u5ho/regression/lora_12/trial_000073/trial_000073.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_12/trial_000073/trial_000073_config.json | results_arc_easy_llama_task12.csv | train |
74 | 20260220_193742 | trial_000074 | meta-llama/Llama-3.2-3B | arc-easy | 0.000168 | 3 | 8 | 8 | 512 | 0.03 | 0.015761 | 4 | 32 | 0.031444 | q_proj,v_proj | 782,096,402 | 2.016537 | 7.512265 | 0.424242 | /scratch/u5ho/xh00542.u5ho/regression/lora_13/trial_000074/trial_000074.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_13/trial_000074/trial_000074_config.json | results_arc_easy_llama_task13.csv | train |
75 | 20260220_193650 | trial_000075 | meta-llama/Llama-3.2-3B | arc-easy | 0.00001 | 1 | 8 | 8 | 512 | 0.03 | 0.072969 | 16 | 16 | 0.038332 | q_proj,v_proj | 940,391,758 | 8.630319 | 5,598.865198 | 0.367845 | /scratch/u5ho/xh00542.u5ho/regression/lora_14/trial_000075/trial_000075.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_14/trial_000075/trial_000075_config.json | results_arc_easy_llama_task14.csv | train |
77 | 20260220_193551 | trial_000077 | meta-llama/Llama-3.2-3B | arc-easy | 0.00047 | 1 | 8 | 8 | 512 | 0.03 | 0.085053 | 16 | 32 | 0.011848 | q_proj,v_proj | 2,042,674,977 | 2.051119 | 7.776602 | 0.406987 | /scratch/u5ho/xh00542.u5ho/regression/lora_16/trial_000077/trial_000077.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_16/trial_000077/trial_000077_config.json | results_arc_easy_llama_task16.csv | train |
78 | 20260220_193730 | trial_000078 | meta-llama/Llama-3.2-3B | arc-easy | 0.000094 | 1 | 8 | 8 | 512 | 0.03 | 0.00123 | 4 | 16 | 0.06861 | q_proj,v_proj | 1,263,274,434 | 4.184302 | 65.647648 | 0.375421 | /scratch/u5ho/xh00542.u5ho/regression/lora_17/trial_000078/trial_000078.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_17/trial_000078/trial_000078_config.json | results_arc_easy_llama_task17.csv | train |
79 | 20260220_193713 | trial_000079 | meta-llama/Llama-3.2-3B | arc-easy | 0.000041 | 3 | 8 | 8 | 512 | 0.03 | 0.044231 | 16 | 16 | 0.045855 | q_proj,v_proj | 634,278,676 | 2.884549 | 17.89549 | 0.361953 | /scratch/u5ho/xh00542.u5ho/regression/lora_18/trial_000079/trial_000079.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_18/trial_000079/trial_000079_config.json | results_arc_easy_llama_task18.csv | train |
81 | 20260220_193756 | trial_000081 | meta-llama/Llama-3.2-3B | arc-easy | 0.000287 | 3 | 8 | 8 | 512 | 0.03 | 0.09991 | 4 | 32 | 0.010642 | q_proj,v_proj | 1,797,221,718 | 1.925143 | 6.85613 | 0.446128 | /scratch/u5ho/xh00542.u5ho/regression/lora_20/trial_000081/trial_000081.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_20/trial_000081/trial_000081_config.json | results_arc_easy_llama_task20.csv | train |
83 | 20260220_193719 | trial_000083 | meta-llama/Llama-3.2-3B | arc-easy | 0.000015 | 2 | 8 | 8 | 512 | 0.03 | 0.091064 | 4 | 32 | 0.01982 | q_proj,v_proj | 1,668,096,449 | 6.468914 | 644.782995 | 0.369949 | /scratch/u5ho/xh00542.u5ho/regression/lora_22/trial_000083/trial_000083.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_22/trial_000083/trial_000083_config.json | results_arc_easy_llama_task22.csv | train |
85 | 20260220_193720 | trial_000085 | meta-llama/Llama-3.2-3B | arc-easy | 0.0002 | 4 | 8 | 8 | 512 | 0.03 | 0.080096 | 4 | 8 | 0.005723 | q_proj,v_proj | 1,824,091,599 | 2.030283 | 7.616243 | 0.427609 | /scratch/u5ho/xh00542.u5ho/regression/lora_24/trial_000085/trial_000085.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_24/trial_000085/trial_000085_config.json | results_arc_easy_llama_task24.csv | train |
86 | 20260220_193541 | trial_000086 | meta-llama/Llama-3.2-3B | arc-easy | 0.000359 | 1 | 8 | 8 | 512 | 0.03 | 0.004015 | 16 | 32 | 0.083798 | q_proj,v_proj | 1,499,202,966 | 2.059953 | 7.845601 | 0.408249 | /scratch/u5ho/xh00542.u5ho/regression/lora_25/trial_000086/trial_000086.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_25/trial_000086/trial_000086_config.json | results_arc_easy_llama_task25.csv | train |
87 | 20260220_193541 | trial_000087 | meta-llama/Llama-3.2-3B | arc-easy | 0.000013 | 1 | 8 | 8 | 512 | 0.03 | 0.063001 | 4 | 32 | 0.074519 | q_proj,v_proj | 1,083,472,050 | 8.311742 | 4,071.397818 | 0.366582 | /scratch/u5ho/xh00542.u5ho/regression/lora_26/trial_000087/trial_000087.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_26/trial_000087/trial_000087_config.json | results_arc_easy_llama_task26.csv | train |
88 | 20260220_193709 | trial_000088 | meta-llama/Llama-3.2-3B | arc-easy | 0.000252 | 2 | 8 | 8 | 512 | 0.03 | 0.027076 | 4 | 32 | 0.019304 | q_proj,v_proj | 1,577,586,781 | 2.027619 | 7.595977 | 0.41835 | /scratch/u5ho/xh00542.u5ho/regression/lora_27/trial_000088/trial_000088.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_27/trial_000088/trial_000088_config.json | results_arc_easy_llama_task27.csv | train |
89 | 20260220_193759 | trial_000089 | meta-llama/Llama-3.2-3B | arc-easy | 0.000131 | 3 | 8 | 8 | 512 | 0.03 | 0.061631 | 16 | 32 | 0.00545 | q_proj,v_proj | 1,313,279,892 | 2.036352 | 7.662601 | 0.42803 | /scratch/u5ho/xh00542.u5ho/regression/lora_28/trial_000089/trial_000089.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_28/trial_000089/trial_000089_config.json | results_arc_easy_llama_task28.csv | train |
91 | 20260220_193615 | trial_000091 | meta-llama/Llama-3.2-3B | arc-easy | 0.000012 | 2 | 8 | 8 | 512 | 0.03 | 0.063641 | 16 | 16 | 0.078408 | q_proj,v_proj | 984,751,480 | 8.154695 | 3,479.67737 | 0.369949 | /scratch/u5ho/xh00542.u5ho/regression/lora_30/trial_000091/trial_000091.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_30/trial_000091/trial_000091_config.json | results_arc_easy_llama_task30.csv | train |
92 | 20260220_193624 | trial_000092 | meta-llama/Llama-3.2-3B | arc-easy | 0.00007 | 2 | 8 | 8 | 512 | 0.03 | 0.057802 | 4 | 8 | 0.030134 | q_proj,v_proj | 2,031,572,043 | 3.441704 | 31.240157 | 0.375842 | /scratch/u5ho/xh00542.u5ho/regression/lora_31/trial_000092/trial_000092.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_31/trial_000092/trial_000092_config.json | results_arc_easy_llama_task31.csv | train |
93 | 20260220_194112 | trial_000093 | meta-llama/Llama-3.2-3B | arc-easy | 0.000125 | 2 | 8 | 8 | 512 | 0.03 | 0.050835 | 8 | 16 | 0.014844 | q_proj,v_proj | 2,019,911,113 | 2.3164 | 10.139108 | 0.405724 | /scratch/u5ho/xh00542.u5ho/regression/lora_32/trial_000093/trial_000093.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_32/trial_000093/trial_000093_config.json | results_arc_easy_llama_task32.csv | train |
95 | 20260220_193720 | trial_000095 | meta-llama/Llama-3.2-3B | arc-easy | 0.00002 | 3 | 8 | 8 | 512 | 0.03 | 0.041181 | 8 | 32 | 0.063463 | q_proj,v_proj | 1,312,085,765 | 3.259786 | 26.043975 | 0.377525 | /scratch/u5ho/xh00542.u5ho/regression/lora_34/trial_000095/trial_000095.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_34/trial_000095/trial_000095_config.json | results_arc_easy_llama_task34.csv | train |
96 | 20260220_193852 | trial_000096 | meta-llama/Llama-3.2-3B | arc-easy | 0.000033 | 4 | 8 | 8 | 512 | 0.03 | 0.003606 | 4 | 32 | 0.031704 | q_proj,v_proj | 1,263,378,047 | 2.407337 | 11.104346 | 0.411616 | /scratch/u5ho/xh00542.u5ho/regression/lora_35/trial_000096/trial_000096.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_35/trial_000096/trial_000096_config.json | results_arc_easy_llama_task35.csv | train |
98 | 20260220_193813 | trial_000098 | meta-llama/Llama-3.2-3B | arc-easy | 0.000127 | 3 | 8 | 8 | 512 | 0.03 | 0.078743 | 8 | 16 | 0.031621 | q_proj,v_proj | 1,401,089,319 | 2.063299 | 7.871897 | 0.418771 | /scratch/u5ho/xh00542.u5ho/regression/lora_37/trial_000098/trial_000098.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_37/trial_000098/trial_000098_config.json | results_arc_easy_llama_task37.csv | train |
99 | 20260220_193807 | trial_000099 | meta-llama/Llama-3.2-3B | arc-easy | 0.000063 | 1 | 8 | 8 | 512 | 0.03 | 0.051274 | 8 | 16 | 0.036066 | q_proj,v_proj | 1,344,351,565 | 5.784643 | 325.266007 | 0.369949 | /scratch/u5ho/xh00542.u5ho/regression/lora_38/trial_000099/trial_000099.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_38/trial_000099/trial_000099_config.json | results_arc_easy_llama_task38.csv | train |
101 | 20260220_193621 | trial_000101 | meta-llama/Llama-3.2-3B | arc-easy | 0.000199 | 1 | 8 | 8 | 512 | 0.03 | 0.011586 | 4 | 16 | 0.049414 | q_proj,v_proj | 1,798,264,929 | 2.782554 | 16.160236 | 0.355219 | /scratch/u5ho/xh00542.u5ho/regression/lora_40/trial_000101/trial_000101.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_40/trial_000101/trial_000101_config.json | results_arc_easy_llama_task40.csv | train |
102 | 20260220_193849 | trial_000102 | meta-llama/Llama-3.2-3B | arc-easy | 0.000007 | 4 | 8 | 8 | 512 | 0.03 | 0.033413 | 16 | 32 | 0.028061 | q_proj,v_proj | 119,331,192 | 6.178249 | 482.147037 | 0.370791 | /scratch/u5ho/xh00542.u5ho/regression/lora_41/trial_000102/trial_000102.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_41/trial_000102/trial_000102_config.json | results_arc_easy_llama_task41.csv | train |
103 | 20260220_193852 | trial_000103 | meta-llama/Llama-3.2-3B | arc-easy | 0.000011 | 3 | 8 | 8 | 512 | 0.03 | 0.082717 | 4 | 8 | 0.001468 | q_proj,v_proj | 1,594,920,141 | 8.179375 | 3,566.623198 | 0.369529 | /scratch/u5ho/xh00542.u5ho/regression/lora_42/trial_000103/trial_000103.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_42/trial_000103/trial_000103_config.json | results_arc_easy_llama_task42.csv | train |
104 | 20260220_193748 | trial_000104 | meta-llama/Llama-3.2-3B | arc-easy | 0.000258 | 2 | 8 | 8 | 512 | 0.03 | 0.011967 | 8 | 32 | 0.060084 | q_proj,v_proj | 329,881,188 | 2.028205 | 7.600432 | 0.425505 | /scratch/u5ho/xh00542.u5ho/regression/lora_43/trial_000104/trial_000104.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_43/trial_000104/trial_000104_config.json | results_arc_easy_llama_task43.csv | train |
105 | 20260220_193723 | trial_000105 | meta-llama/Llama-3.2-3B | arc-easy | 0.000027 | 3 | 8 | 8 | 512 | 0.03 | 0.031096 | 16 | 8 | 0.07721 | q_proj,v_proj | 2,137,743,676 | 5.301796 | 200.696884 | 0.369529 | /scratch/u5ho/xh00542.u5ho/regression/lora_44/trial_000105/trial_000105.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_44/trial_000105/trial_000105_config.json | results_arc_easy_llama_task44.csv | train |
106 | 20260220_193646 | trial_000106 | meta-llama/Llama-3.2-3B | arc-easy | 0.000119 | 1 | 8 | 8 | 512 | 0.03 | 0.001073 | 16 | 32 | 0.064089 | q_proj,v_proj | 832,883,697 | 2.809683 | 16.604646 | 0.362795 | /scratch/u5ho/xh00542.u5ho/regression/lora_45/trial_000106/trial_000106.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_45/trial_000106/trial_000106_config.json | results_arc_easy_llama_task45.csv | train |
107 | 20260220_193819 | trial_000107 | meta-llama/Llama-3.2-3B | arc-easy | 0.000013 | 4 | 8 | 8 | 512 | 0.03 | 0.08363 | 8 | 16 | 0.016591 | q_proj,v_proj | 351,653,247 | 5.167588 | 175.491071 | 0.371212 | /scratch/u5ho/xh00542.u5ho/regression/lora_46/trial_000107/trial_000107.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_46/trial_000107/trial_000107_config.json | results_arc_easy_llama_task46.csv | train |
108 | 20260220_193735 | trial_000108 | meta-llama/Llama-3.2-3B | arc-easy | 0.000476 | 4 | 8 | 8 | 512 | 0.03 | 0.01416 | 8 | 8 | 0.099032 | q_proj,v_proj | 1,801,888,525 | 1.948541 | 7.018442 | 0.445707 | /scratch/u5ho/xh00542.u5ho/regression/lora_47/trial_000108/trial_000108.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_47/trial_000108/trial_000108_config.json | results_arc_easy_llama_task47.csv | train |
109 | 20260220_193729 | trial_000109 | meta-llama/Llama-3.2-3B | arc-easy | 0.000039 | 4 | 8 | 8 | 512 | 0.03 | 0.043378 | 8 | 8 | 0.075533 | q_proj,v_proj | 171,904,527 | 2.954756 | 19.197041 | 0.364057 | /scratch/u5ho/xh00542.u5ho/regression/lora_48/trial_000109/trial_000109.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_48/trial_000109/trial_000109_config.json | results_arc_easy_llama_task48.csv | train |
112 | 20260220_193806 | trial_000112 | meta-llama/Llama-3.2-3B | arc-easy | 0.000007 | 2 | 8 | 8 | 512 | 0.03 | 0.064915 | 4 | 32 | 0.063759 | q_proj,v_proj | 1,811,592,260 | 8.136006 | 3,415.248635 | 0.371633 | /scratch/u5ho/xh00542.u5ho/regression/lora_51/trial_000112/trial_000112.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_51/trial_000112/trial_000112_config.json | results_arc_easy_llama_task51.csv | train |
115 | 20260220_193628 | trial_000115 | meta-llama/Llama-3.2-3B | arc-easy | 0.000051 | 2 | 8 | 8 | 512 | 0.03 | 0.034059 | 16 | 8 | 0.085027 | q_proj,v_proj | 1,260,839,060 | 4.7277 | 113.035275 | 0.375 | /scratch/u5ho/xh00542.u5ho/regression/lora_54/trial_000115/trial_000115.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_54/trial_000115/trial_000115_config.json | results_arc_easy_llama_task54.csv | train |
116 | 20260220_193850 | trial_000116 | meta-llama/Llama-3.2-3B | arc-easy | 0.00005 | 4 | 8 | 8 | 512 | 0.03 | 0.091734 | 8 | 16 | 0.039855 | q_proj,v_proj | 225,442,222 | 2.51926 | 12.419407 | 0.40362 | /scratch/u5ho/xh00542.u5ho/regression/lora_55/trial_000116/trial_000116.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_55/trial_000116/trial_000116_config.json | results_arc_easy_llama_task55.csv | train |
117 | 20260220_193725 | trial_000117 | meta-llama/Llama-3.2-3B | arc-easy | 0.000091 | 2 | 8 | 8 | 512 | 0.03 | 0.002482 | 4 | 8 | 0.01916 | q_proj,v_proj | 727,686,936 | 2.937855 | 18.875324 | 0.363215 | /scratch/u5ho/xh00542.u5ho/regression/lora_56/trial_000117/trial_000117.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_56/trial_000117/trial_000117_config.json | results_arc_easy_llama_task56.csv | train |
119 | 20260220_193539 | trial_000119 | meta-llama/Llama-3.2-3B | arc-easy | 0.000018 | 1 | 8 | 8 | 512 | 0.03 | 0.062036 | 16 | 16 | 0.098181 | q_proj,v_proj | 1,361,010,223 | 8.41378 | 4,508.769366 | 0.366162 | /scratch/u5ho/xh00542.u5ho/regression/lora_58/trial_000119/trial_000119.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_58/trial_000119/trial_000119_config.json | results_arc_easy_llama_task58.csv | train |
120 | 20260220_193737 | trial_000120 | meta-llama/Llama-3.2-3B | arc-easy | 0.000045 | 4 | 8 | 8 | 512 | 0.03 | 0.096321 | 16 | 16 | 0.07207 | q_proj,v_proj | 1,939,881,832 | 2.752473 | 15.681369 | 0.368266 | /scratch/u5ho/xh00542.u5ho/regression/lora_59/trial_000120/trial_000120.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_59/trial_000120/trial_000120_config.json | results_arc_easy_llama_task59.csv | train |
121 | 20260220_193750 | trial_000121 | meta-llama/Llama-3.2-3B | arc-easy | 0.000183 | 2 | 8 | 8 | 512 | 0.03 | 0.044009 | 16 | 8 | 0.073241 | q_proj,v_proj | 245,036,626 | 2.525332 | 12.495042 | 0.399411 | /scratch/u5ho/xh00542.u5ho/regression/lora_60/trial_000121/trial_000121.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_60/trial_000121/trial_000121_config.json | results_arc_easy_llama_task60.csv | train |
122 | 20260220_200231 | trial_000122 | meta-llama/Llama-3.2-3B | arc-easy | 0.000064 | 4 | 8 | 8 | 512 | 0.03 | 0.028823 | 8 | 16 | 0.098458 | q_proj,v_proj | 2,082,662,103 | 2.118964 | 8.322512 | 0.424663 | /scratch/u5ho/xh00542.u5ho/regression/lora_0/trial_000122/trial_000122.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_0/trial_000122/trial_000122_config.json | results_arc_easy_llama_task0.csv | train |
123 | 20260220_195212 | trial_000123 | meta-llama/Llama-3.2-3B | arc-easy | 0.000147 | 4 | 8 | 8 | 512 | 0.03 | 0.004095 | 16 | 16 | 0.012387 | q_proj,v_proj | 744,087,753 | 2.037086 | 7.66823 | 0.425505 | /scratch/u5ho/xh00542.u5ho/regression/lora_1/trial_000123/trial_000123.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_1/trial_000123/trial_000123_config.json | results_arc_easy_llama_task1.csv | train |
124 | 20260220_194524 | trial_000124 | meta-llama/Llama-3.2-3B | arc-easy | 0.000179 | 4 | 8 | 8 | 512 | 0.03 | 0.097792 | 8 | 32 | 0.046497 | q_proj,v_proj | 2,116,431,397 | 1.939374 | 6.954396 | 0.441919 | /scratch/u5ho/xh00542.u5ho/regression/lora_2/trial_000124/trial_000124.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_2/trial_000124/trial_000124_config.json | results_arc_easy_llama_task2.csv | train |
125 | 20260220_194534 | trial_000125 | meta-llama/Llama-3.2-3B | arc-easy | 0.000033 | 1 | 8 | 8 | 512 | 0.03 | 0.080206 | 16 | 16 | 0.055546 | q_proj,v_proj | 182,147,999 | 7.816695 | 2,481.691015 | 0.369529 | /scratch/u5ho/xh00542.u5ho/regression/lora_3/trial_000125/trial_000125.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_3/trial_000125/trial_000125_config.json | results_arc_easy_llama_task3.csv | train |
126 | 20260220_194523 | trial_000126 | meta-llama/Llama-3.2-3B | arc-easy | 0.000353 | 2 | 8 | 8 | 512 | 0.03 | 0.00487 | 16 | 8 | 0.03727 | q_proj,v_proj | 79,394,031 | 2.059642 | 7.84316 | 0.412879 | /scratch/u5ho/xh00542.u5ho/regression/lora_4/trial_000126/trial_000126.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_4/trial_000126/trial_000126_config.json | results_arc_easy_llama_task4.csv | train |
127 | 20260220_194525 | trial_000127 | meta-llama/Llama-3.2-3B | arc-easy | 0.000008 | 4 | 8 | 8 | 512 | 0.03 | 0.086546 | 16 | 32 | 0.077372 | q_proj,v_proj | 1,531,710,312 | 5.301563 | 200.650148 | 0.371633 | /scratch/u5ho/xh00542.u5ho/regression/lora_5/trial_000127/trial_000127.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_5/trial_000127/trial_000127_config.json | results_arc_easy_llama_task5.csv | train |
129 | 20260220_194544 | trial_000129 | meta-llama/Llama-3.2-3B | arc-easy | 0.00026 | 2 | 8 | 8 | 512 | 0.03 | 0.002961 | 4 | 32 | 0.067729 | q_proj,v_proj | 1,105,158,095 | 2.022206 | 7.554974 | 0.422138 | /scratch/u5ho/xh00542.u5ho/regression/lora_7/trial_000129/trial_000129.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_7/trial_000129/trial_000129_config.json | results_arc_easy_llama_task7.csv | train |
131 | 20260220_195426 | trial_000131 | meta-llama/Llama-3.2-3B | arc-easy | 0.000025 | 4 | 8 | 8 | 512 | 0.03 | 0.039694 | 16 | 32 | 0.059032 | q_proj,v_proj | 641,976,601 | 2.774396 | 16.02894 | 0.361532 | /scratch/u5ho/xh00542.u5ho/regression/lora_9/trial_000131/trial_000131.safetensors | /scratch/u5ho/xh00542.u5ho/regression/lora_9/trial_000131/trial_000131_config.json | results_arc_easy_llama_task9.csv | train |
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W2T Llm Arc Easy Lora
This repository contains artifacts for the W2T paper:
Summary
ARC-Easy LoRA checkpoints and prepared metadata used for performance prediction.
Source Status
- Storage location:
local - Verification status:
confirmed
Files
See manifest.json for the exact local or remote source paths used to prepare this release.
Citation
@article{han2026w2t,
title = {W2T: LoRA Weights Already Know What They Can Do},
author = {Han, Xiaolong and Neri, Ferrante and Jiang, Zijian and Wu, Fang and Ye, Yanfang and Yin, Lu and Wang, Zehong},
journal = {arXiv preprint arXiv:2603.15990},
year = {2026}
}
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