| I0221 21:28:04.266541 13794 utils.py:148] Note: detected 192 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable. |
| I0221 21:28:04.266615 13794 utils.py:151] Note: NumExpr detected 192 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16. |
| I0221 21:28:04.266655 13794 utils.py:164] NumExpr defaulting to 16 threads. |
| I0221 21:28:04.350871 13794 config.py:58] PyTorch version 2.10.0+cu126 available. |
| W0221 21:28:04.481072 13794 warnings.py:112] /dev/shm/eval/quip-sharp/lib/codebook/__init__.py:6: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. |
| @torch.library.impl_abstract("quip_lib::decode_matvec_e8p") |
|
|
| W0221 21:28:04.520201 13794 warnings.py:112] /dev/shm/eval/quip-sharp/lib/codebook/__init__.py:25: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. |
| @torch.library.impl_abstract("quip_lib::decompress_packed_e8p") |
|
|
| W0221 21:28:04.529498 13794 warnings.py:112] /dev/shm/eval/quip-sharp/lib/utils/matmul_had.py:96: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. |
| @torch.library.impl_abstract("quip_lib::hadamard") |
|
|
| [21:28:25] ============================================================ |
| [21:28:25] Polish LLM Leaderboard Eval |
| [21:28:25] Model: QuIP# Bielik-Q2-Sharp Variant A |
| [21:28:25] lm-eval API: new |
| [21:28:25] Tasks: ['polemo2_in', 'polemo2_out', 'polish_8tags_regex', 'polish_cbd_regex', 'polish_ppc_regex', 'polish_psc_regex'] |
| [21:28:25] Few-shot: 5 |
| [21:28:25] ============================================================ |
| [21:28:25] Loading QuIP# model from /dev/shm/eval/model... |
| I0221 21:28:27.258036 13794 modeling.py:987] We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk). |
| [21:28:28] Model loaded in 3.5s |
| [21:28:29] Tokenizer: speakleash/Bielik-11B-v2.3-Instruct (vocab=32000) |
| [21:28:29] |
| Running 6 tasks... |
| I0221 21:28:29.047860 13794 evaluator.py:152] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 |
| I0221 21:28:29.047946 13794 evaluator.py:203] Using pre-initialized model |
| W0221 21:28:44.459776 13794 evaluator.py:251] Overwriting default num_fewshot of polish_psc_regex from None to 5 |
| I0221 21:28:44.459892 13794 evaluator.py:261] Setting fewshot random generator seed to 1234 |
| W0221 21:28:44.459923 13794 evaluator.py:251] Overwriting default num_fewshot of polish_ppc_regex from None to 5 |
| I0221 21:28:44.459954 13794 evaluator.py:261] Setting fewshot random generator seed to 1234 |
| W0221 21:28:44.459970 13794 evaluator.py:251] Overwriting default num_fewshot of polish_cbd_regex from None to 5 |
| I0221 21:28:44.459993 13794 evaluator.py:261] Setting fewshot random generator seed to 1234 |
| W0221 21:28:44.460006 13794 evaluator.py:251] Overwriting default num_fewshot of polish_8tags_regex from None to 5 |
| I0221 21:28:44.460033 13794 evaluator.py:261] Setting fewshot random generator seed to 1234 |
| W0221 21:28:44.460046 13794 evaluator.py:251] Overwriting default num_fewshot of polemo2_out from None to 5 |
| I0221 21:28:44.460067 13794 evaluator.py:261] Setting fewshot random generator seed to 1234 |
| W0221 21:28:44.460079 13794 evaluator.py:251] Overwriting default num_fewshot of polemo2_in from None to 5 |
| I0221 21:28:44.460098 13794 evaluator.py:261] Setting fewshot random generator seed to 1234 |
| I0221 21:28:44.461167 13794 task.py:410] Building contexts for polish_psc_regex on rank 0... |
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| I0221 21:28:51.269732 13794 task.py:410] Building contexts for polish_ppc_regex on rank 0... |
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| I0221 21:28:57.268816 13794 task.py:410] Building contexts for polish_cbd_regex on rank 0... |
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| I0221 21:29:02.711433 13794 task.py:410] Building contexts for polish_8tags_regex on rank 0... |
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12%|ββ | 544/4372 [00:03<00:23, 165.43it/s]
13%|ββ | 561/4372 [00:03<00:23, 163.89it/s]
13%|ββ | 578/4372 [00:03<00:23, 159.19it/s]
14%|ββ | 594/4372 [00:03<00:23, 158.30it/s]
14%|ββ | 610/4372 [00:03<00:23, 157.11it/s]
14%|ββ | 626/4372 [00:03<00:24, 155.95it/s]
15%|ββ | 644/4372 [00:03<00:23, 160.53it/s]
15%|ββ | 662/4372 [00:03<00:22, 163.97it/s]
16%|ββ | 680/4372 [00:04<00:22, 166.37it/s]
16%|ββ | 698/4372 [00:04<00:21, 168.14it/s]
16%|ββ | 716/4372 [00:04<00:21, 169.49it/s]
17%|ββ | 733/4372 [00:04<00:21, 169.58it/s]
17%|ββ | 751/4372 [00:04<00:21, 169.80it/s]
18%|ββ | 769/4372 [00:04<00:21, 170.50it/s]
18%|ββ | 787/4372 [00:04<00:20, 170.83it/s]
18%|ββ | 805/4372 [00:04<00:20, 171.30it/s]
19%|ββ | 823/4372 [00:04<00:20, 171.35it/s]
19%|ββ | 841/4372 [00:05<00:20, 171.64it/s]
20%|ββ | 859/4372 [00:05<00:20, 172.09it/s]
20%|ββ | 877/4372 [00:05<00:20, 171.72it/s]
20%|ββ | 895/4372 [00:05<00:20, 172.12it/s]
21%|ββ | 913/4372 [00:05<00:20, 172.22it/s]
21%|βββ | 931/4372 [00:05<00:19, 172.24it/s]
22%|βββ | 949/4372 [00:05<00:19, 172.72it/s]
22%|βββ | 967/4372 [00:05<00:19, 172.91it/s]
23%|βββ | 985/4372 [00:05<00:19, 172.48it/s]
23%|βββ | 1003/4372 [00:05<00:19, 172.45it/s]
23%|βββ | 1021/4372 [00:06<00:19, 172.18it/s]
24%|βββ | 1039/4372 [00:06<00:20, 164.14it/s]
24%|βββ | 1056/4372 [00:06<00:20, 162.52it/s]
25%|βββ | 1074/4372 [00:06<00:19, 165.34it/s]
25%|βββ | 1091/4372 [00:06<00:20, 161.47it/s]
25%|βββ | 1108/4372 [00:06<00:20, 155.92it/s]
26%|βββ | 1124/4372 [00:06<00:20, 155.54it/s]
26%|βββ | 1142/4372 [00:06<00:20, 159.59it/s]
26%|βββ | 1158/4372 [00:06<00:20, 158.20it/s]
27%|βββ | 1176/4372 [00:07<00:19, 162.28it/s]
27%|βββ | 1194/4372 [00:07<00:19, 165.30it/s]
28%|βββ | 1212/4372 [00:07<00:18, 167.24it/s]
28%|βββ | 1230/4372 [00:07<00:18, 168.55it/s]
29%|βββ | 1248/4372 [00:07<00:18, 169.59it/s]
29%|βββ | 1266/4372 [00:07<00:18, 170.35it/s]
29%|βββ | 1284/4372 [00:07<00:18, 170.57it/s]
30%|βββ | 1302/4372 [00:07<00:18, 170.38it/s]
30%|βββ | 1320/4372 [00:07<00:17, 170.75it/s]
31%|βββ | 1338/4372 [00:08<00:17, 170.61it/s]
31%|βββ | 1356/4372 [00:08<00:17, 170.70it/s]
31%|ββββ | 1374/4372 [00:08<00:17, 170.66it/s]
32%|ββββ | 1392/4372 [00:08<00:17, 170.07it/s]
32%|ββββ | 1410/4372 [00:08<00:17, 170.12it/s]
33%|ββββ | 1428/4372 [00:08<00:17, 170.24it/s]
33%|ββββ | 1446/4372 [00:08<00:17, 170.24it/s]
33%|ββββ | 1464/4372 [00:08<00:17, 170.42it/s]
34%|ββββ | 1482/4372 [00:08<00:16, 170.73it/s]
34%|ββββ | 1500/4372 [00:08<00:16, 170.49it/s]
35%|ββββ | 1518/4372 [00:09<00:16, 170.94it/s]
35%|ββββ | 1536/4372 [00:09<00:17, 164.03it/s]
36%|ββββ | 1553/4372 [00:09<00:17, 161.26it/s]
36%|ββββ | 1570/4372 [00:09<00:17, 163.20it/s]
36%|ββββ | 1588/4372 [00:09<00:16, 164.03it/s]
37%|ββββ | 1605/4372 [00:09<00:17, 158.56it/s]
37%|ββββ | 1621/4372 [00:09<00:17, 157.45it/s]
37%|ββββ | 1637/4372 [00:09<00:17, 156.63it/s]
38%|ββββ | 1653/4372 [00:09<00:17, 155.98it/s]
38%|ββββ | 1670/4372 [00:10<00:17, 158.86it/s]
39%|ββββ | 1688/4372 [00:10<00:16, 162.71it/s]
39%|ββββ | 1706/4372 [00:10<00:16, 165.44it/s]
39%|ββββ | 1724/4372 [00:10<00:15, 167.22it/s]
40%|ββββ | 1742/4372 [00:10<00:15, 168.38it/s]
40%|ββββ | 1760/4372 [00:10<00:15, 169.21it/s]
41%|ββββ | 1778/4372 [00:10<00:15, 169.81it/s]
41%|ββββ | 1796/4372 [00:10<00:15, 170.46it/s]
41%|βββββ | 1814/4372 [00:10<00:14, 170.83it/s]
42%|βββββ | 1832/4372 [00:10<00:14, 171.18it/s]
42%|βββββ | 1850/4372 [00:11<00:14, 171.38it/s]
43%|βββββ | 1868/4372 [00:11<00:14, 171.60it/s]
43%|βββββ | 1886/4372 [00:11<00:14, 171.71it/s]
44%|βββββ | 1904/4372 [00:11<00:14, 171.91it/s]
44%|βββββ | 1922/4372 [00:11<00:14, 171.81it/s]
44%|βββββ | 1940/4372 [00:11<00:14, 171.77it/s]
45%|βββββ | 1958/4372 [00:11<00:14, 171.83it/s]
45%|βββββ | 1976/4372 [00:11<00:13, 171.69it/s]
46%|βββββ | 1994/4372 [00:11<00:13, 171.92it/s]
46%|βββββ | 2012/4372 [00:12<00:13, 170.96it/s]
46%|βββββ | 2030/4372 [00:12<00:13, 171.17it/s]
47%|βββββ | 2048/4372 [00:12<00:14, 164.09it/s]
47%|βββββ | 2065/4372 [00:12<00:14, 161.87it/s]
48%|βββββ | 2083/4372 [00:12<00:13, 164.47it/s]
48%|βββββ | 2100/4372 [00:12<00:13, 164.22it/s]
48%|βββββ | 2117/4372 [00:12<00:14, 159.62it/s]
49%|βββββ | 2133/4372 [00:12<00:14, 159.57it/s]
49%|βββββ | 2151/4372 [00:12<00:13, 163.41it/s]
50%|βββββ | 2168/4372 [00:12<00:13, 163.77it/s]
50%|βββββ | 2185/4372 [00:13<00:13, 164.50it/s]
50%|βββββ | 2203/4372 [00:13<00:12, 167.03it/s]
51%|βββββ | 2221/4372 [00:13<00:12, 168.82it/s]
51%|βββββ | 2239/4372 [00:13<00:12, 170.02it/s]
52%|ββββββ | 2257/4372 [00:13<00:12, 170.67it/s]
52%|ββββββ | 2275/4372 [00:13<00:12, 171.38it/s]
52%|ββββββ | 2293/4372 [00:13<00:12, 171.65it/s]
53%|ββββββ | 2311/4372 [00:13<00:12, 171.75it/s]
53%|ββββββ | 2329/4372 [00:13<00:11, 172.13it/s]
54%|ββββββ | 2347/4372 [00:14<00:11, 172.15it/s]
54%|ββββββ | 2365/4372 [00:14<00:11, 172.00it/s]
55%|ββββββ | 2383/4372 [00:14<00:11, 172.11it/s]
55%|ββββββ | 2401/4372 [00:14<00:11, 172.34it/s]
55%|ββββββ | 2419/4372 [00:14<00:11, 172.61it/s]
56%|ββββββ | 2437/4372 [00:14<00:11, 172.38it/s]
56%|ββββββ | 2455/4372 [00:14<00:11, 172.59it/s]
57%|ββββββ | 2473/4372 [00:14<00:11, 172.35it/s]
57%|ββββββ | 2491/4372 [00:14<00:10, 172.58it/s]
57%|ββββββ | 2509/4372 [00:14<00:10, 172.65it/s]
58%|ββββββ | 2527/4372 [00:15<00:10, 169.11it/s]
58%|ββββββ | 2545/4372 [00:15<00:10, 169.57it/s]
59%|ββββββ | 2563/4372 [00:15<00:10, 170.31it/s]
59%|ββββββ | 2581/4372 [00:15<00:10, 171.06it/s]
59%|ββββββ | 2599/4372 [00:15<00:10, 171.19it/s]
60%|ββββββ | 2617/4372 [00:15<00:10, 171.40it/s]
60%|ββββββ | 2635/4372 [00:15<00:10, 171.26it/s]
61%|ββββββ | 2653/4372 [00:15<00:10, 171.24it/s]
61%|ββββββ | 2671/4372 [00:15<00:09, 171.25it/s]
62%|βββββββ | 2689/4372 [00:16<00:09, 171.21it/s]
62%|βββββββ | 2707/4372 [00:16<00:09, 171.35it/s]
62%|βββββββ | 2725/4372 [00:16<00:09, 171.17it/s]
63%|βββββββ | 2743/4372 [00:16<00:09, 171.12it/s]
63%|βββββββ | 2761/4372 [00:16<00:09, 171.18it/s]
64%|βββββββ | 2779/4372 [00:16<00:09, 171.04it/s]
64%|βββββββ | 2797/4372 [00:16<00:09, 171.09it/s]
64%|βββββββ | 2815/4372 [00:16<00:09, 170.34it/s]
65%|βββββββ | 2833/4372 [00:16<00:09, 170.51it/s]
65%|βββββββ | 2851/4372 [00:16<00:08, 170.83it/s]
66%|βββββββ | 2869/4372 [00:17<00:08, 171.02it/s]
66%|βββββββ | 2887/4372 [00:17<00:08, 171.12it/s]
66%|βββββββ | 2905/4372 [00:17<00:08, 171.05it/s]
67%|βββββββ | 2923/4372 [00:17<00:08, 171.40it/s]
67%|βββββββ | 2941/4372 [00:17<00:08, 171.49it/s]
68%|βββββββ | 2959/4372 [00:17<00:08, 171.54it/s]
68%|βββββββ | 2977/4372 [00:17<00:08, 171.32it/s]
69%|βββββββ | 2995/4372 [00:17<00:08, 171.45it/s]
69%|βββββββ | 3013/4372 [00:17<00:07, 171.41it/s]
69%|βββββββ | 3031/4372 [00:18<00:07, 171.38it/s]
70%|βββββββ | 3049/4372 [00:18<00:07, 171.39it/s]
70%|βββββββ | 3067/4372 [00:18<00:07, 171.25it/s]
71%|βββββββ | 3085/4372 [00:18<00:07, 171.49it/s]
71%|βββββββ | 3103/4372 [00:18<00:07, 171.30it/s]
71%|ββββββββ | 3121/4372 [00:18<00:07, 171.41it/s]
72%|ββββββββ | 3139/4372 [00:18<00:07, 170.52it/s]
72%|ββββββββ | 3157/4372 [00:18<00:07, 170.41it/s]
73%|ββββββββ | 3175/4372 [00:18<00:07, 170.62it/s]
73%|ββββββββ | 3193/4372 [00:18<00:06, 170.51it/s]
73%|ββββββββ | 3211/4372 [00:19<00:06, 170.74it/s]
74%|ββββββββ | 3229/4372 [00:19<00:06, 170.85it/s]
74%|ββββββββ | 3247/4372 [00:19<00:06, 171.23it/s]
75%|ββββββββ | 3265/4372 [00:19<00:06, 171.43it/s]
75%|ββββββββ | 3283/4372 [00:19<00:06, 171.19it/s]
76%|ββββββββ | 3301/4372 [00:19<00:06, 171.41it/s]
76%|ββββββββ | 3319/4372 [00:19<00:06, 171.67it/s]
76%|ββββββββ | 3337/4372 [00:19<00:06, 171.90it/s]
77%|ββββββββ | 3355/4372 [00:19<00:05, 170.78it/s]
77%|ββββββββ | 3373/4372 [00:20<00:05, 171.28it/s]
78%|ββββββββ | 3391/4372 [00:20<00:05, 171.54it/s]
78%|ββββββββ | 3409/4372 [00:20<00:05, 171.62it/s]
78%|ββββββββ | 3427/4372 [00:20<00:05, 171.91it/s]
79%|ββββββββ | 3445/4372 [00:20<00:05, 171.95it/s]
79%|ββββββββ | 3463/4372 [00:20<00:05, 171.85it/s]
80%|ββββββββ | 3481/4372 [00:20<00:05, 171.91it/s]
80%|ββββββββ | 3499/4372 [00:20<00:05, 172.28it/s]
80%|ββββββββ | 3517/4372 [00:20<00:04, 172.54it/s]
81%|ββββββββ | 3535/4372 [00:20<00:04, 172.51it/s]
81%|βββββββββ | 3553/4372 [00:21<00:04, 172.67it/s]
82%|βββββββββ | 3571/4372 [00:21<00:04, 172.87it/s]
82%|βββββββββ | 3589/4372 [00:21<00:04, 172.91it/s]
83%|βββββββββ | 3607/4372 [00:21<00:04, 172.68it/s]
83%|βββββββββ | 3625/4372 [00:21<00:04, 172.70it/s]
83%|βββββββββ | 3643/4372 [00:21<00:04, 172.45it/s]
84%|βββββββββ | 3661/4372 [00:21<00:04, 172.58it/s]
84%|βββββββββ | 3679/4372 [00:21<00:04, 172.76it/s]
85%|βββββββββ | 3697/4372 [00:21<00:03, 172.05it/s]
85%|βββββββββ | 3715/4372 [00:22<00:03, 171.46it/s]
85%|βββββββββ | 3733/4372 [00:22<00:03, 171.52it/s]
86%|βββββββββ | 3751/4372 [00:22<00:03, 172.04it/s]
86%|βββββββββ | 3769/4372 [00:22<00:03, 172.25it/s]
87%|βββββββββ | 3787/4372 [00:22<00:03, 172.40it/s]
87%|βββββββββ | 3805/4372 [00:22<00:03, 172.60it/s]
87%|βββββββββ | 3823/4372 [00:22<00:03, 172.36it/s]
88%|βββββββββ | 3841/4372 [00:22<00:03, 172.41it/s]
88%|βββββββββ | 3859/4372 [00:22<00:02, 172.17it/s]
89%|βββββββββ | 3877/4372 [00:22<00:02, 172.15it/s]
89%|βββββββββ | 3895/4372 [00:23<00:02, 172.20it/s]
90%|βββββββββ | 3913/4372 [00:23<00:02, 171.99it/s]
90%|βββββββββ | 3931/4372 [00:23<00:02, 172.12it/s]
90%|βββββββββ | 3949/4372 [00:23<00:02, 172.16it/s]
91%|βββββββββ | 3967/4372 [00:23<00:02, 172.13it/s]
91%|βββββββββ | 3985/4372 [00:23<00:02, 172.10it/s]
92%|ββββββββββ| 4003/4372 [00:23<00:02, 171.92it/s]
92%|ββββββββββ| 4021/4372 [00:23<00:02, 171.68it/s]
92%|ββββββββββ| 4039/4372 [00:23<00:01, 171.53it/s]
93%|ββββββββββ| 4057/4372 [00:23<00:01, 171.58it/s]
93%|ββββββββββ| 4075/4372 [00:24<00:01, 171.36it/s]
94%|ββββββββββ| 4093/4372 [00:24<00:01, 171.10it/s]
94%|ββββββββββ| 4111/4372 [00:24<00:01, 171.00it/s]
94%|ββββββββββ| 4129/4372 [00:24<00:01, 170.85it/s]
95%|ββββββββββ| 4147/4372 [00:24<00:01, 170.80it/s]
95%|ββββββββββ| 4165/4372 [00:24<00:01, 170.73it/s]
96%|ββββββββββ| 4183/4372 [00:24<00:01, 170.86it/s]
96%|ββββββββββ| 4201/4372 [00:24<00:01, 170.66it/s]
97%|ββββββββββ| 4219/4372 [00:24<00:00, 170.72it/s]
97%|ββββββββββ| 4237/4372 [00:25<00:00, 170.62it/s]
97%|ββββββββββ| 4255/4372 [00:25<00:00, 170.83it/s]
98%|ββββββββββ| 4273/4372 [00:25<00:00, 170.97it/s]
98%|ββββββββββ| 4291/4372 [00:25<00:00, 170.21it/s]
99%|ββββββββββ| 4309/4372 [00:25<00:00, 170.55it/s]
99%|ββββββββββ| 4327/4372 [00:25<00:00, 170.77it/s]
99%|ββββββββββ| 4345/4372 [00:25<00:00, 170.96it/s]
100%|ββββββββββ| 4363/4372 [00:25<00:00, 170.85it/s]
100%|ββββββββββ| 4372/4372 [00:25<00:00, 169.21it/s] |
| I0221 21:29:28.599591 13794 task.py:410] Building contexts for polemo2_out on rank 0... |
|
0%| | 0/494 [00:00<?, ?it/s]
4%|β | 21/494 [00:00<00:02, 202.84it/s]
9%|β | 42/494 [00:00<00:02, 203.44it/s]
13%|ββ | 63/494 [00:00<00:02, 193.13it/s]
17%|ββ | 83/494 [00:00<00:02, 187.79it/s]
21%|ββ | 102/494 [00:00<00:02, 186.31it/s]
25%|βββ | 123/494 [00:00<00:01, 191.40it/s]
29%|βββ | 144/494 [00:00<00:01, 195.29it/s]
33%|ββββ | 165/494 [00:00<00:01, 197.79it/s]
38%|ββββ | 186/494 [00:00<00:01, 199.80it/s]
42%|βββββ | 206/494 [00:01<00:01, 199.79it/s]
46%|βββββ | 227/494 [00:01<00:01, 200.91it/s]
50%|βββββ | 248/494 [00:01<00:01, 201.63it/s]
54%|ββββββ | 269/494 [00:01<00:01, 202.22it/s]
59%|ββββββ | 290/494 [00:01<00:01, 202.67it/s]
63%|βββββββ | 311/494 [00:01<00:00, 203.14it/s]
67%|βββββββ | 332/494 [00:01<00:00, 198.07it/s]
71%|ββββββββ | 352/494 [00:02<00:01, 114.48it/s]
76%|ββββββββ | 373/494 [00:02<00:00, 131.87it/s]
80%|ββββββββ | 394/494 [00:02<00:00, 147.29it/s]
84%|βββββββββ | 415/494 [00:02<00:00, 160.29it/s]
88%|βββββββββ | 436/494 [00:02<00:00, 171.03it/s]
93%|ββββββββββ| 457/494 [00:02<00:00, 179.36it/s]
97%|ββββββββββ| 478/494 [00:02<00:00, 185.56it/s]
100%|ββββββββββ| 494/494 [00:02<00:00, 180.60it/s] |
| I0221 21:29:31.342681 13794 task.py:410] Building contexts for polemo2_in on rank 0... |
|
0%| | 0/722 [00:00<?, ?it/s]
3%|β | 21/722 [00:00<00:03, 200.52it/s]
6%|β | 42/722 [00:00<00:03, 201.21it/s]
9%|β | 63/722 [00:00<00:03, 201.15it/s]
12%|ββ | 84/722 [00:00<00:03, 201.57it/s]
15%|ββ | 105/722 [00:00<00:03, 200.23it/s]
17%|ββ | 126/722 [00:00<00:02, 201.09it/s]
20%|ββ | 147/722 [00:00<00:02, 201.34it/s]
23%|βββ | 168/722 [00:00<00:02, 201.57it/s]
26%|βββ | 189/722 [00:00<00:02, 201.72it/s]
29%|βββ | 210/722 [00:01<00:02, 202.09it/s]
32%|ββββ | 231/722 [00:01<00:02, 202.36it/s]
35%|ββββ | 252/722 [00:01<00:02, 202.48it/s]
38%|ββββ | 273/722 [00:01<00:02, 202.68it/s]
41%|ββββ | 294/722 [00:01<00:02, 203.01it/s]
44%|βββββ | 315/722 [00:01<00:02, 203.00it/s]
47%|βββββ | 336/722 [00:01<00:01, 203.43it/s]
49%|βββββ | 357/722 [00:01<00:01, 203.69it/s]
52%|ββββββ | 378/722 [00:01<00:01, 203.54it/s]
55%|ββββββ | 399/722 [00:01<00:01, 203.70it/s]
58%|ββββββ | 420/722 [00:02<00:01, 204.11it/s]
61%|ββββββ | 441/722 [00:02<00:01, 203.85it/s]
64%|βββββββ | 462/722 [00:02<00:01, 204.05it/s]
67%|βββββββ | 483/722 [00:02<00:01, 204.28it/s]
70%|βββββββ | 504/722 [00:02<00:01, 204.46it/s]
73%|ββββββββ | 525/722 [00:02<00:00, 204.96it/s]
76%|ββββββββ | 546/722 [00:02<00:00, 205.16it/s]
79%|ββββββββ | 567/722 [00:02<00:00, 204.96it/s]
81%|βββββββββ | 588/722 [00:02<00:00, 205.08it/s]
84%|βββββββββ | 609/722 [00:02<00:00, 205.21it/s]
87%|βββββββββ | 630/722 [00:03<00:00, 205.67it/s]
90%|βββββββββ | 651/722 [00:03<00:00, 205.68it/s]
93%|ββββββββββ| 672/722 [00:03<00:00, 205.68it/s]
96%|ββββββββββ| 693/722 [00:03<00:00, 205.91it/s]
99%|ββββββββββ| 714/722 [00:03<00:00, 205.58it/s]
100%|ββββββββββ| 722/722 [00:03<00:00, 203.70it/s] |
| I0221 21:29:34.897518 13794 evaluator.py:431] Running generate_until requests |
| [21:29:46] generate_until: 8666 requests, batch_size=32 (length-sorted) |
| [21:29:46] context lengths: min=668, max=1998, median=798, max_gen_toks=64 |
| [21:35:30] generate_until: 320/8666 (55.8 req/min, ETA 149.5min) |
| [21:41:15] generate_until: 640/8666 (55.8 req/min, ETA 143.9min) |
| [21:47:00] generate_until: 960/8666 (55.7 req/min, ETA 138.3min) |
| [21:52:45] generate_until: 1280/8666 (55.7 req/min, ETA 132.6min) |
| [21:58:34] generate_until: 1600/8666 (55.6 req/min, ETA 127.2min) |
| [22:04:22] generate_until: 1920/8666 (55.5 req/min, ETA 121.6min) |
| [22:10:11] generate_until: 2240/8666 (55.4 req/min, ETA 116.0min) |
| [22:16:00] generate_until: 2560/8666 (55.4 req/min, ETA 110.3min) |
| [22:21:49] generate_until: 2880/8666 (55.3 req/min, ETA 104.6min) |
| [22:27:42] generate_until: 3200/8666 (55.2 req/min, ETA 98.9min) |
| [22:33:33] generate_until: 3520/8666 (55.2 req/min, ETA 93.2min) |
| [22:39:24] generate_until: 3840/8666 (55.2 req/min, ETA 87.5min) |
| [22:45:18] generate_until: 4160/8666 (55.1 req/min, ETA 81.8min) |
| [22:51:12] generate_until: 4480/8666 (55.0 req/min, ETA 76.1min) |
| [22:57:11] generate_until: 4800/8666 (54.9 req/min, ETA 70.4min) |
| [23:03:12] generate_until: 5120/8666 (54.8 req/min, ETA 64.7min) |
| [23:09:13] generate_until: 5440/8666 (54.7 req/min, ETA 59.0min) |
| [23:15:17] generate_until: 5760/8666 (54.6 req/min, ETA 53.2min) |
| [23:21:26] generate_until: 6080/8666 (54.4 req/min, ETA 47.5min) |
| [23:27:51] generate_until: 6400/8666 (54.2 req/min, ETA 41.8min) |
| [23:36:06] generate_until: 6720/8666 (53.2 req/min, ETA 36.6min) |
| [23:44:22] generate_until: 7040/8666 (52.3 req/min, ETA 31.1min) |
| [23:52:44] generate_until: 7360/8666 (51.5 req/min, ETA 25.4min) |
| [00:01:05] generate_until: 7680/8666 (50.8 req/min, ETA 19.4min) |
| [00:09:28] generate_until: 8000/8666 (50.1 req/min, ETA 13.3min) |
| [00:17:48] generate_until: 8320/8666 (49.5 req/min, ETA 7.0min) |
| [00:26:13] generate_until: 8640/8666 (49.0 req/min, ETA 0.5min) |
| [00:26:59] generate_until: 8666/8666 (48.9 req/min, ETA 0.0min) |
| [00:26:59] generate_until done: 8666 in 10633s (48.9 req/min) |
| [00:27:35] |
| All tasks completed in 10747s |
| [00:27:36] Saved: /dev/shm/eval/results_gen/full_results.json |
| [00:27:36] |
| polish_psc_regex: |
| [00:27:36] exact_match,score-first: 0.9536 |
| [00:27:36] exact_match_stderr,score-first: 0.0064 |
| [00:27:36] f1,score-first: 0.9662 |
| [00:27:36] |
| polish_ppc_regex: |
| [00:27:36] exact_match,score-first: 0.7890 |
| [00:27:36] exact_match_stderr,score-first: 0.0129 |
| [00:27:36] |
| polish_cbd_regex: |
| [00:27:36] exact_match,score-first: 0.7570 |
| [00:27:36] exact_match_stderr,score-first: 0.0136 |
| [00:27:36] f1,score-first: 0.3009 |
| [00:27:36] |
| polish_8tags_regex: |
| [00:27:36] exact_match,score-first: 0.7656 |
| [00:27:36] exact_match_stderr,score-first: 0.0064 |
| [00:27:36] |
| polemo2_out: |
| [00:27:36] exact_match,score-first: 0.7186 |
| [00:27:36] exact_match_stderr,score-first: 0.0203 |
| [00:27:36] |
| polemo2_in: |
| [00:27:36] exact_match,score-first: 0.8310 |
| [00:27:36] exact_match_stderr,score-first: 0.0140 |
| [00:27:36] |
| ============================================================ |
| [00:27:36] FINAL RESULTS SUMMARY |
| [00:27:36] ============================================================ |
| Traceback (most recent call last): |
| File "/dev/shm/eval/eval_polish_quip.py", line 481, in <module> |
| main() |
| File "/dev/shm/eval/eval_polish_quip.py", line 458, in main |
| if key in metrics: |
| ^^^^^^^^^^^^^^ |
| TypeError: argument of type 'numpy.float64' is not iterable |
|
|