Spaces:
Build error
Build error
File size: 171,307 Bytes
a2a97d3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 |
Submitting job: /common/home/users/d/dh.huang.2023/code/rapget-translation/scripts/eval-mac.sh
Current Directory:
/common/home/users/d/dh.huang.2023/code/rapget-translation
Fri Aug 9 23:36:01 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.90.07 Driver Version: 550.90.07 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA L40 On | 00000000:01:00.0 Off | 0 |
| N/A 39C P8 36W / 300W | 1MiB / 46068MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| No running processes found |
+-----------------------------------------------------------------------------------------+
Linux lagoon 4.18.0-553.5.1.el8_10.x86_64 #1 SMP Thu Jun 6 09:41:19 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
NAME="Rocky Linux"
VERSION="8.10 (Green Obsidian)"
ID="rocky"
ID_LIKE="rhel centos fedora"
VERSION_ID="8.10"
PLATFORM_ID="platform:el8"
PRETTY_NAME="Rocky Linux 8.10 (Green Obsidian)"
ANSI_COLOR="0;32"
LOGO="fedora-logo-icon"
CPE_NAME="cpe:/o:rocky:rocky:8:GA"
HOME_URL="https://rockylinux.org/"
BUG_REPORT_URL="https://bugs.rockylinux.org/"
SUPPORT_END="2029-05-31"
ROCKY_SUPPORT_PRODUCT="Rocky-Linux-8"
ROCKY_SUPPORT_PRODUCT_VERSION="8.10"
REDHAT_SUPPORT_PRODUCT="Rocky Linux"
REDHAT_SUPPORT_PRODUCT_VERSION="8.10"
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 128
On-line CPU(s) list: 0-127
Thread(s) per core: 2
Core(s) per socket: 64
Socket(s): 1
NUMA node(s): 1
Vendor ID: AuthenticAMD
CPU family: 25
Model: 1
Model name: AMD EPYC 7763 64-Core Processor
Stepping: 1
CPU MHz: 3044.516
CPU max MHz: 3529.0520
CPU min MHz: 1500.0000
BogoMIPS: 4891.15
Virtualization: AMD-V
L1d cache: 32K
L1i cache: 32K
L2 cache: 512K
L3 cache: 32768K
NUMA node0 CPU(s): 0-127
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 invpcid_single hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr wbnoinvd amd_ppin brs arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload vgif v_spec_ctrl umip pku ospke vaes vpclmulqdq rdpid overflow_recov succor smca fsrm
MemTotal: 527669148 kB
Current Directory:
/common/home/users/d/dh.huang.2023/code/rapget-translation
Evaluating internlm/internlm2_5-7b-chat
[nltk_data] Downloading package wordnet to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package wordnet is already up-to-date!
[nltk_data] Downloading package punkt to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package punkt is already up-to-date!
[nltk_data] Downloading package omw-1.4 to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package omw-1.4 is already up-to-date!
[nltk_data] Downloading package wordnet to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package wordnet is already up-to-date!
[nltk_data] Downloading package punkt to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package punkt is already up-to-date!
[nltk_data] Downloading package omw-1.4 to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package omw-1.4 is already up-to-date!
loading env vars from: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/.env
Adding /common/home/users/d/dh.huang.2023/common2/code/rapget-translation to sys.path
loading: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/eval_modules/calc_repetitions.py
loading /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/llm_toolkit/translation_utils.py
CUDA is available, we have found 1 GPU(s)
NVIDIA L40
CUDA version: 12.1
internlm/internlm2_5-7b-chat llama-factory/saves/internlm2_5-7b-chat/checkpoint-140 False datasets/mac/mac.tsv results/mac-results_fine_tuned.csv False 300 2
(0) GPU = NVIDIA L40. Max memory = 44.309 GB.
0.0 GB of memory reserved.
loading model: internlm/internlm2_5-7b-chat with adapter: llama-factory/saves/internlm2_5-7b-chat/checkpoint-140
Loading checkpoint shards: 0%| | 0/8 [00:00<?, ?it/s]
Loading checkpoint shards: 12%|ββ | 1/8 [00:03<00:27, 3.87s/it]
Loading checkpoint shards: 25%|βββ | 2/8 [00:09<00:30, 5.00s/it]
Loading checkpoint shards: 38%|ββββ | 3/8 [00:14<00:25, 5.15s/it]
Loading checkpoint shards: 50%|βββββ | 4/8 [00:20<00:21, 5.38s/it]
Loading checkpoint shards: 62%|βββββββ | 5/8 [00:26<00:16, 5.36s/it]
Loading checkpoint shards: 75%|ββββββββ | 6/8 [00:31<00:10, 5.47s/it]
Loading checkpoint shards: 88%|βββββββββ | 7/8 [00:37<00:05, 5.43s/it]
Loading checkpoint shards: 100%|ββββββββββ| 8/8 [00:40<00:00, 4.89s/it]
Loading checkpoint shards: 100%|ββββββββββ| 8/8 [00:40<00:00, 5.10s/it]
(2) GPU = NVIDIA L40. Max memory = 44.309 GB.
14.523 GB of memory reserved.
loading train/test data files
DatasetDict({
train: Dataset({
features: ['chinese', 'english', 'text', 'prompt'],
num_rows: 4528
})
test: Dataset({
features: ['chinese', 'english', 'text', 'prompt'],
num_rows: 1133
})
})
--------------------------------------------------
chinese: θθΏη«―θ΅·ζͺοΌη―ηΌθ΅·δΈεͺδΈθ§ηΌοΌδΈζζ³ζΊεδΊζͺοΌε°ιΉθ¬ηιιΊ»ιεε©εͺε¦εΎδΈθ½οΌιη εε¨ζ³ζι΄ι£θΏΈηοΌεεζε£°γ
--------------------------------------------------
english: Old Geng picked up his shotgun, squinted, and pulled the trigger. Two sparrows crashed to the ground like hailstones as shotgun pellets tore noisily through the branches.
--------------------------------------------------
text: <s><|im_start|>system
You are a helpful assistant that translates Chinese to English.<|im_end|>
<|im_start|>user
You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.
Chinese: θθΏη«―θ΅·ζͺοΌη―ηΌθ΅·δΈεͺδΈθ§ηΌοΌδΈζζ³ζΊεδΊζͺοΌε°ιΉθ¬ηιιΊ»ιεε©εͺε¦εΎδΈθ½οΌιη εε¨ζ³ζι΄ι£θΏΈηοΌεεζε£°γ
English:<|im_end|>
<|im_start|>assistant
Old Geng picked up his shotgun, squinted, and pulled the trigger. Two sparrows crashed to the ground like hailstones as shotgun pellets tore noisily through the branches.</s>
--------------------------------------------------
prompt: <s><|im_start|>system
You are a helpful assistant that translates Chinese to English.<|im_end|>
<|im_start|>user
You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.
Chinese: θθΏη«―θ΅·ζͺοΌη―ηΌθ΅·δΈεͺδΈθ§ηΌοΌδΈζζ³ζΊεδΊζͺοΌε°ιΉθ¬ηιιΊ»ιεε©εͺε¦εΎδΈθ½οΌιη εε¨ζ³ζι΄ι£θΏΈηοΌεεζε£°γ
English:<|im_end|>
<|im_start|>assistant
--------------------------------------------------
chinese: ε―ΉζδΈε»δΉδΈθ½ζΎζΎγ
--------------------------------------------------
english: People shouldn't let up on me for a minute.
--------------------------------------------------
text: <s><|im_start|>system
You are a helpful assistant that translates Chinese to English.<|im_end|>
<|im_start|>user
You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.
Chinese: ε―ΉζδΈε»δΉδΈθ½ζΎζΎγ
English:<|im_end|>
<|im_start|>assistant
People shouldn't let up on me for a minute.</s>
--------------------------------------------------
prompt: <s><|im_start|>system
You are a helpful assistant that translates Chinese to English.<|im_end|>
<|im_start|>user
You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.
Chinese: ε―ΉζδΈε»δΉδΈθ½ζΎζΎγ
English:<|im_end|>
<|im_start|>assistant
Evaluating model: internlm/internlm2_5-7b-chat/checkpoint-140 on cuda
*** Evaluating with repetition_penalty: 1.0
0%| | 0/567 [00:00<?, ?it/s]
0%| | 1/567 [00:04<39:13, 4.16s/it]
0%| | 2/567 [00:08<42:55, 4.56s/it]
1%| | 3/567 [00:11<32:54, 3.50s/it]
1%| | 4/567 [00:17<42:20, 4.51s/it]
1%| | 5/567 [00:18<30:29, 3.26s/it]
1%| | 6/567 [00:20<25:47, 2.76s/it]
1%| | 7/567 [00:21<20:15, 2.17s/it]
1%|β | 8/567 [00:24<22:36, 2.43s/it]
2%|β | 9/567 [00:27<25:07, 2.70s/it]
2%|β | 10/567 [00:29<24:09, 2.60s/it]
2%|β | 11/567 [00:31<21:40, 2.34s/it]
2%|β | 12/567 [00:32<19:09, 2.07s/it]
2%|β | 13/567 [00:35<20:01, 2.17s/it]
2%|β | 14/567 [00:37<19:06, 2.07s/it]
3%|β | 15/567 [00:37<15:19, 1.67s/it]
3%|β | 16/567 [00:40<16:39, 1.81s/it]
3%|β | 17/567 [00:43<21:30, 2.35s/it]
3%|β | 18/567 [00:44<18:41, 2.04s/it]
3%|β | 19/567 [00:46<16:01, 1.76s/it]
4%|β | 20/567 [00:47<15:20, 1.68s/it]
4%|β | 21/567 [00:50<17:40, 1.94s/it]
4%|β | 22/567 [00:51<16:59, 1.87s/it]
4%|β | 23/567 [00:54<20:02, 2.21s/it]
4%|β | 24/567 [00:56<18:06, 2.00s/it]
4%|β | 25/567 [00:57<15:25, 1.71s/it]
5%|β | 26/567 [01:00<18:21, 2.04s/it]
5%|β | 27/567 [01:01<16:25, 1.83s/it]
5%|β | 28/567 [01:06<24:20, 2.71s/it]
5%|β | 29/567 [01:08<23:12, 2.59s/it]
5%|β | 30/567 [01:11<23:08, 2.58s/it]
5%|β | 31/567 [01:12<18:44, 2.10s/it]
6%|β | 32/567 [01:14<20:18, 2.28s/it]
6%|β | 33/567 [01:16<19:05, 2.15s/it]
6%|β | 34/567 [01:19<21:44, 2.45s/it]
6%|β | 35/567 [01:22<23:22, 2.64s/it]
6%|β | 36/567 [01:23<18:33, 2.10s/it]
7%|β | 37/567 [01:24<14:52, 1.68s/it]
7%|β | 38/567 [01:25<13:44, 1.56s/it]
7%|β | 39/567 [01:27<15:10, 1.72s/it]
7%|β | 40/567 [01:29<15:11, 1.73s/it]
7%|β | 41/567 [01:30<12:02, 1.37s/it]
7%|β | 42/567 [01:33<16:42, 1.91s/it]
8%|β | 43/567 [01:34<15:09, 1.74s/it]
8%|β | 44/567 [01:36<15:55, 1.83s/it]
8%|β | 45/567 [01:39<17:34, 2.02s/it]
8%|β | 46/567 [01:40<14:37, 1.69s/it]
8%|β | 47/567 [01:41<13:55, 1.61s/it]
8%|β | 48/567 [01:44<17:16, 2.00s/it]
9%|β | 49/567 [01:45<14:34, 1.69s/it]
9%|β | 50/567 [01:48<18:11, 2.11s/it]
9%|β | 51/567 [01:51<20:45, 2.41s/it]
9%|β | 52/567 [01:52<17:46, 2.07s/it]
9%|β | 53/567 [02:04<43:10, 5.04s/it]
10%|β | 54/567 [02:09<41:08, 4.81s/it]
10%|β | 55/567 [02:12<38:44, 4.54s/it]
10%|β | 56/567 [02:17<38:26, 4.51s/it]
10%|β | 57/567 [02:21<37:25, 4.40s/it]
10%|β | 58/567 [02:22<28:54, 3.41s/it]
10%|β | 59/567 [02:24<25:06, 2.97s/it]
11%|β | 60/567 [02:26<22:56, 2.71s/it]
11%|β | 61/567 [02:28<19:50, 2.35s/it]
11%|β | 62/567 [02:29<17:50, 2.12s/it]
11%|β | 63/567 [02:32<18:43, 2.23s/it]
11%|ββ | 64/567 [02:35<21:46, 2.60s/it]
11%|ββ | 65/567 [02:36<17:29, 2.09s/it]
12%|ββ | 66/567 [02:39<19:17, 2.31s/it]
12%|ββ | 67/567 [02:40<16:02, 1.92s/it]
12%|ββ | 68/567 [02:46<27:04, 3.26s/it]
12%|ββ | 69/567 [02:48<22:33, 2.72s/it]
12%|ββ | 70/567 [02:50<20:19, 2.45s/it]
13%|ββ | 71/567 [02:51<16:35, 2.01s/it]
13%|ββ | 72/567 [02:53<17:23, 2.11s/it]
13%|ββ | 73/567 [02:54<14:14, 1.73s/it]
13%|ββ | 74/567 [02:56<14:55, 1.82s/it]
13%|ββ | 75/567 [02:57<14:26, 1.76s/it]
13%|ββ | 76/567 [02:59<14:40, 1.79s/it]
14%|ββ | 77/567 [03:02<16:43, 2.05s/it]
14%|ββ | 78/567 [03:04<15:50, 1.94s/it]
14%|ββ | 79/567 [03:06<16:59, 2.09s/it]
14%|ββ | 80/567 [03:07<14:40, 1.81s/it]
14%|ββ | 81/567 [03:08<13:11, 1.63s/it]
14%|ββ | 82/567 [03:10<13:43, 1.70s/it]
15%|ββ | 83/567 [03:12<13:17, 1.65s/it]
15%|ββ | 84/567 [03:13<12:29, 1.55s/it]
15%|ββ | 85/567 [03:14<11:21, 1.41s/it]
15%|ββ | 86/567 [03:15<09:05, 1.13s/it]
15%|ββ | 87/567 [03:16<08:40, 1.08s/it]
16%|ββ | 88/567 [03:17<09:51, 1.23s/it]
16%|ββ | 89/567 [03:21<16:39, 2.09s/it]
16%|ββ | 90/567 [03:24<17:41, 2.23s/it]
16%|ββ | 91/567 [03:27<20:22, 2.57s/it]
16%|ββ | 92/567 [03:29<17:41, 2.23s/it]
16%|ββ | 93/567 [03:30<14:47, 1.87s/it]
17%|ββ | 94/567 [03:34<20:14, 2.57s/it]
17%|ββ | 95/567 [03:36<17:52, 2.27s/it]
17%|ββ | 96/567 [03:38<17:46, 2.27s/it]
17%|ββ | 97/567 [03:40<17:01, 2.17s/it]
17%|ββ | 98/567 [03:40<13:18, 1.70s/it]
17%|ββ | 99/567 [03:42<13:48, 1.77s/it]
18%|ββ | 100/567 [03:45<15:56, 2.05s/it]
18%|ββ | 101/567 [03:46<13:58, 1.80s/it]
18%|ββ | 102/567 [03:50<18:50, 2.43s/it]
18%|ββ | 103/567 [03:51<15:41, 2.03s/it]
18%|ββ | 104/567 [03:54<16:44, 2.17s/it]
19%|ββ | 105/567 [04:01<29:02, 3.77s/it]
19%|ββ | 106/567 [04:04<26:36, 3.46s/it]
19%|ββ | 107/567 [04:05<21:39, 2.83s/it]
19%|ββ | 108/567 [04:10<25:12, 3.30s/it]
19%|ββ | 109/567 [04:10<18:51, 2.47s/it]
19%|ββ | 110/567 [04:12<16:47, 2.20s/it]
20%|ββ | 111/567 [04:17<24:29, 3.22s/it]
20%|ββ | 112/567 [04:20<23:47, 3.14s/it]
20%|ββ | 113/567 [04:25<28:11, 3.73s/it]
20%|ββ | 114/567 [04:27<22:43, 3.01s/it]
20%|ββ | 115/567 [04:29<21:39, 2.88s/it]
20%|ββ | 116/567 [04:31<18:01, 2.40s/it]
21%|ββ | 117/567 [04:32<16:19, 2.18s/it]
21%|ββ | 118/567 [04:35<18:13, 2.44s/it]
21%|ββ | 119/567 [04:42<26:35, 3.56s/it]
21%|ββ | 120/567 [04:43<22:50, 3.07s/it]
21%|βββ | 121/567 [04:44<17:50, 2.40s/it]
22%|βββ | 122/567 [04:46<15:18, 2.06s/it]
22%|βββ | 123/567 [04:47<14:18, 1.93s/it]
22%|βββ | 124/567 [04:49<13:05, 1.77s/it]
22%|βββ | 125/567 [04:50<12:54, 1.75s/it]
22%|βββ | 126/567 [04:53<13:54, 1.89s/it]
22%|βββ | 127/567 [04:56<17:53, 2.44s/it]
23%|βββ | 128/567 [04:59<19:31, 2.67s/it]
23%|βββ | 129/567 [05:03<20:35, 2.82s/it]
23%|βββ | 130/567 [05:10<30:46, 4.23s/it]
23%|βββ | 131/567 [05:15<32:07, 4.42s/it]
23%|βββ | 132/567 [05:21<35:27, 4.89s/it]
23%|βββ | 133/567 [05:29<41:53, 5.79s/it]
24%|βββ | 134/567 [05:37<45:48, 6.35s/it]
24%|βββ | 135/567 [05:39<36:26, 5.06s/it]
24%|βββ | 136/567 [05:40<29:29, 4.11s/it]
24%|βββ | 137/567 [05:42<24:44, 3.45s/it]
24%|βββ | 138/567 [05:43<19:05, 2.67s/it]
25%|βββ | 139/567 [05:45<17:48, 2.50s/it]
25%|βββ | 140/567 [05:47<16:00, 2.25s/it]
25%|βββ | 141/567 [05:49<14:54, 2.10s/it]
25%|βββ | 142/567 [05:50<13:21, 1.89s/it]
25%|βββ | 143/567 [05:52<12:25, 1.76s/it]
25%|βββ | 144/567 [05:54<13:44, 1.95s/it]
26%|βββ | 145/567 [05:56<13:22, 1.90s/it]
26%|βββ | 146/567 [05:58<14:11, 2.02s/it]
26%|βββ | 147/567 [06:03<19:40, 2.81s/it]
26%|βββ | 148/567 [06:05<18:00, 2.58s/it]
26%|βββ | 149/567 [06:06<14:27, 2.08s/it]
26%|βββ | 150/567 [06:06<10:58, 1.58s/it]
27%|βββ | 151/567 [06:07<09:09, 1.32s/it]
27%|βββ | 152/567 [06:09<10:40, 1.54s/it]
27%|βββ | 153/567 [06:11<12:51, 1.86s/it]
27%|βββ | 154/567 [06:13<11:20, 1.65s/it]
27%|βββ | 155/567 [06:14<11:02, 1.61s/it]
28%|βββ | 156/567 [06:17<12:48, 1.87s/it]
28%|βββ | 157/567 [06:18<11:03, 1.62s/it]
28%|βββ | 158/567 [06:22<16:57, 2.49s/it]
28%|βββ | 159/567 [06:23<14:33, 2.14s/it]
28%|βββ | 160/567 [06:27<16:38, 2.45s/it]
28%|βββ | 161/567 [06:28<13:26, 1.99s/it]
29%|βββ | 162/567 [06:30<13:39, 2.02s/it]
29%|βββ | 163/567 [06:31<13:04, 1.94s/it]
29%|βββ | 164/567 [07:02<1:11:12, 10.60s/it]
29%|βββ | 165/567 [07:04<53:14, 7.95s/it]
29%|βββ | 166/567 [07:06<40:29, 6.06s/it]
29%|βββ | 167/567 [07:11<39:16, 5.89s/it]
30%|βββ | 168/567 [07:12<30:05, 4.53s/it]
30%|βββ | 169/567 [07:15<26:27, 3.99s/it]
30%|βββ | 170/567 [07:17<22:46, 3.44s/it]
30%|βββ | 171/567 [07:19<18:43, 2.84s/it]
30%|βββ | 172/567 [07:22<19:21, 2.94s/it]
31%|βββ | 173/567 [07:23<16:02, 2.44s/it]
31%|βββ | 174/567 [07:25<14:34, 2.23s/it]
31%|βββ | 175/567 [07:28<15:06, 2.31s/it]
31%|βββ | 176/567 [07:29<14:00, 2.15s/it]
31%|βββ | 177/567 [07:32<15:00, 2.31s/it]
31%|ββββ | 178/567 [07:33<12:49, 1.98s/it]
32%|ββββ | 179/567 [07:35<12:46, 1.97s/it]
32%|ββββ | 180/567 [07:37<13:04, 2.03s/it]
32%|ββββ | 181/567 [07:39<12:28, 1.94s/it]
32%|ββββ | 182/567 [07:40<09:58, 1.55s/it]
32%|ββββ | 183/567 [07:41<08:41, 1.36s/it]
32%|ββββ | 184/567 [07:42<09:26, 1.48s/it]
33%|ββββ | 185/567 [07:43<08:25, 1.32s/it]
33%|ββββ | 186/567 [07:50<18:10, 2.86s/it]
33%|ββββ | 187/567 [07:52<16:03, 2.54s/it]
33%|ββββ | 188/567 [07:53<13:51, 2.19s/it]
33%|ββββ | 189/567 [07:54<12:39, 2.01s/it]
34%|ββββ | 190/567 [07:55<10:25, 1.66s/it]
34%|ββββ | 191/567 [07:59<13:26, 2.14s/it]
34%|ββββ | 192/567 [08:01<14:34, 2.33s/it]
34%|ββββ | 193/567 [08:10<25:33, 4.10s/it]
34%|ββββ | 194/567 [08:11<20:46, 3.34s/it]
34%|ββββ | 195/567 [08:13<18:11, 2.93s/it]
35%|ββββ | 196/567 [08:16<18:12, 2.94s/it]
35%|ββββ | 197/567 [08:21<21:15, 3.45s/it]
35%|ββββ | 198/567 [08:23<19:31, 3.17s/it]
35%|ββββ | 199/567 [08:26<18:17, 2.98s/it]
35%|ββββ | 200/567 [08:27<15:39, 2.56s/it]
35%|ββββ | 201/567 [08:28<12:28, 2.04s/it]
36%|ββββ | 202/567 [08:30<11:41, 1.92s/it]
36%|ββββ | 203/567 [08:31<10:56, 1.80s/it]
36%|ββββ | 204/567 [08:33<10:29, 1.74s/it]
36%|ββββ | 205/567 [08:35<11:05, 1.84s/it]
36%|ββββ | 206/567 [08:38<12:51, 2.14s/it]
37%|ββββ | 207/567 [08:40<12:31, 2.09s/it]
37%|ββββ | 208/567 [08:44<15:35, 2.61s/it]
37%|ββββ | 209/567 [08:45<12:49, 2.15s/it]
37%|ββββ | 210/567 [08:47<13:02, 2.19s/it]
37%|ββββ | 211/567 [08:49<13:05, 2.21s/it]
37%|ββββ | 212/567 [08:52<14:02, 2.37s/it]
38%|ββββ | 213/567 [08:55<15:07, 2.56s/it]
38%|ββββ | 214/567 [08:58<15:15, 2.59s/it]
38%|ββββ | 215/567 [09:00<14:00, 2.39s/it]
38%|ββββ | 216/567 [09:02<14:12, 2.43s/it]
38%|ββββ | 217/567 [09:06<16:25, 2.82s/it]
38%|ββββ | 218/567 [09:10<18:14, 3.14s/it]
39%|ββββ | 219/567 [09:13<18:19, 3.16s/it]
39%|ββββ | 220/567 [09:15<16:11, 2.80s/it]
39%|ββββ | 221/567 [09:16<12:58, 2.25s/it]
39%|ββββ | 222/567 [09:18<12:16, 2.13s/it]
39%|ββββ | 223/567 [09:19<10:39, 1.86s/it]
40%|ββββ | 224/567 [09:21<10:38, 1.86s/it]
40%|ββββ | 225/567 [09:23<11:38, 2.04s/it]
40%|ββββ | 226/567 [09:26<12:23, 2.18s/it]
40%|ββββ | 227/567 [09:27<10:30, 1.85s/it]
40%|ββββ | 228/567 [09:29<11:42, 2.07s/it]
40%|ββββ | 229/567 [09:32<12:25, 2.21s/it]
41%|ββββ | 230/567 [09:34<11:26, 2.04s/it]
41%|ββββ | 231/567 [09:37<13:48, 2.47s/it]
41%|ββββ | 232/567 [09:39<12:56, 2.32s/it]
41%|ββββ | 233/567 [09:43<15:09, 2.72s/it]
41%|βββββ | 234/567 [09:43<11:41, 2.11s/it]
41%|βββββ | 235/567 [09:46<12:49, 2.32s/it]
42%|βββββ | 236/567 [09:49<13:51, 2.51s/it]
42%|βββββ | 237/567 [09:50<11:16, 2.05s/it]
42%|βββββ | 238/567 [09:52<10:31, 1.92s/it]
42%|βββββ | 239/567 [09:54<10:44, 1.96s/it]
42%|βββββ | 240/567 [09:59<16:11, 2.97s/it]
43%|βββββ | 241/567 [10:02<15:05, 2.78s/it]
43%|βββββ | 242/567 [10:03<13:21, 2.47s/it]
43%|βββββ | 243/567 [10:06<13:01, 2.41s/it]
43%|βββββ | 244/567 [10:09<14:47, 2.75s/it]
43%|βββββ | 245/567 [10:10<11:58, 2.23s/it]
43%|βββββ | 246/567 [10:12<11:59, 2.24s/it]
44%|βββββ | 247/567 [10:13<09:43, 1.82s/it]
44%|βββββ | 248/567 [10:15<10:10, 1.91s/it]
44%|βββββ | 249/567 [10:17<09:37, 1.82s/it]
44%|βββββ | 250/567 [10:21<12:40, 2.40s/it]
44%|βββββ | 251/567 [10:25<15:32, 2.95s/it]
44%|βββββ | 252/567 [10:28<15:33, 2.96s/it]
45%|βββββ | 253/567 [10:29<11:54, 2.27s/it]
45%|βββββ | 254/567 [10:32<13:19, 2.56s/it]
45%|βββββ | 255/567 [10:34<12:28, 2.40s/it]
45%|βββββ | 256/567 [10:35<10:40, 2.06s/it]
45%|βββββ | 257/567 [10:40<14:29, 2.80s/it]
46%|βββββ | 258/567 [10:42<14:25, 2.80s/it]
46%|βββββ | 259/567 [10:43<11:33, 2.25s/it]
46%|βββββ | 260/567 [10:48<15:46, 3.08s/it]
46%|βββββ | 261/567 [10:51<14:35, 2.86s/it]
46%|βββββ | 262/567 [10:54<14:46, 2.91s/it]
46%|βββββ | 263/567 [10:55<12:41, 2.50s/it]
47%|βββββ | 264/567 [10:56<09:50, 1.95s/it]
47%|βββββ | 265/567 [11:01<14:33, 2.89s/it]
47%|βββββ | 266/567 [11:02<11:53, 2.37s/it]
47%|βββββ | 267/567 [11:04<11:01, 2.21s/it]
47%|βββββ | 268/567 [11:08<13:53, 2.79s/it]
47%|βββββ | 269/567 [11:11<13:42, 2.76s/it]
48%|βββββ | 270/567 [11:12<11:44, 2.37s/it]
48%|βββββ | 271/567 [11:15<12:44, 2.58s/it]
48%|βββββ | 272/567 [11:17<11:49, 2.41s/it]
48%|βββββ | 273/567 [11:19<10:53, 2.22s/it]
48%|βββββ | 274/567 [11:21<09:48, 2.01s/it]
49%|βββββ | 275/567 [11:23<09:25, 1.94s/it]
49%|βββββ | 276/567 [11:25<10:36, 2.19s/it]
49%|βββββ | 277/567 [11:27<10:12, 2.11s/it]
49%|βββββ | 278/567 [11:28<08:30, 1.77s/it]
49%|βββββ | 279/567 [11:32<11:26, 2.38s/it]
49%|βββββ | 280/567 [11:35<12:17, 2.57s/it]
50%|βββββ | 281/567 [11:36<09:57, 2.09s/it]
50%|βββββ | 282/567 [11:37<08:45, 1.84s/it]
50%|βββββ | 283/567 [11:41<12:08, 2.57s/it]
50%|βββββ | 284/567 [11:43<10:52, 2.31s/it]
50%|βββββ | 285/567 [11:44<09:22, 2.00s/it]
50%|βββββ | 286/567 [11:45<07:58, 1.70s/it]
51%|βββββ | 287/567 [11:49<10:05, 2.16s/it]
51%|βββββ | 288/567 [11:53<12:31, 2.69s/it]
51%|βββββ | 289/567 [11:55<12:38, 2.73s/it]
51%|βββββ | 290/567 [11:58<12:10, 2.64s/it]
51%|ββββββ | 291/567 [12:00<12:01, 2.61s/it]
51%|ββββββ | 292/567 [12:03<12:12, 2.66s/it]
52%|ββββββ | 293/567 [12:05<10:47, 2.36s/it]
52%|ββββββ | 294/567 [12:06<09:40, 2.13s/it]
52%|ββββββ | 295/567 [12:08<08:49, 1.95s/it]
52%|ββββββ | 296/567 [12:11<10:30, 2.33s/it]
52%|ββββββ | 297/567 [12:13<09:12, 2.05s/it]
53%|ββββββ | 298/567 [12:20<16:15, 3.63s/it]
53%|ββββββ | 299/567 [12:22<14:09, 3.17s/it]
53%|ββββββ | 300/567 [12:24<13:10, 2.96s/it]
53%|ββββββ | 301/567 [12:27<11:59, 2.71s/it]
53%|ββββββ | 302/567 [12:28<10:53, 2.46s/it]
53%|ββββββ | 303/567 [12:30<09:45, 2.22s/it]
54%|ββββββ | 304/567 [12:32<09:07, 2.08s/it]
54%|ββββββ | 305/567 [12:34<08:58, 2.05s/it]
54%|ββββββ | 306/567 [12:37<09:53, 2.27s/it]
54%|ββββββ | 307/567 [12:41<12:32, 2.89s/it]
54%|ββββββ | 308/567 [12:42<10:09, 2.35s/it]
54%|ββββββ | 309/567 [12:43<08:05, 1.88s/it]
55%|ββββββ | 310/567 [12:51<16:08, 3.77s/it]
55%|ββββββ | 311/567 [12:54<15:14, 3.57s/it]
55%|ββββββ | 312/567 [12:56<12:28, 2.94s/it]
55%|ββββββ | 313/567 [12:57<10:00, 2.36s/it]
55%|ββββββ | 314/567 [12:59<09:52, 2.34s/it]
56%|ββββββ | 315/567 [13:03<11:26, 2.72s/it]
56%|ββββββ | 316/567 [13:04<09:25, 2.25s/it]
56%|ββββββ | 317/567 [13:06<09:47, 2.35s/it]
56%|ββββββ | 318/567 [13:07<08:10, 1.97s/it]
56%|ββββββ | 319/567 [13:11<09:39, 2.34s/it]
56%|ββββββ | 320/567 [13:11<07:28, 1.82s/it]
57%|ββββββ | 321/567 [13:16<11:36, 2.83s/it]
57%|ββββββ | 322/567 [13:19<10:50, 2.65s/it]
57%|ββββββ | 323/567 [13:21<10:29, 2.58s/it]
57%|ββββββ | 324/567 [13:23<09:58, 2.46s/it]
57%|ββββββ | 325/567 [13:29<13:48, 3.42s/it]
57%|ββββββ | 326/567 [13:30<10:42, 2.67s/it]
58%|ββββββ | 327/567 [13:32<09:34, 2.39s/it]
58%|ββββββ | 328/567 [13:35<10:27, 2.63s/it]
58%|ββββββ | 329/567 [13:39<12:36, 3.18s/it]
58%|ββββββ | 330/567 [13:40<09:26, 2.39s/it]
58%|ββββββ | 331/567 [13:42<08:45, 2.23s/it]
59%|ββββββ | 332/567 [13:43<08:06, 2.07s/it]
59%|ββββββ | 333/567 [13:45<07:58, 2.04s/it]
59%|ββββββ | 334/567 [13:47<07:15, 1.87s/it]
59%|ββββββ | 335/567 [13:48<06:45, 1.75s/it]
59%|ββββββ | 336/567 [13:49<05:41, 1.48s/it]
59%|ββββββ | 337/567 [13:52<07:39, 2.00s/it]
60%|ββββββ | 338/567 [13:54<07:16, 1.91s/it]
60%|ββββββ | 339/567 [13:55<06:39, 1.75s/it]
60%|ββββββ | 340/567 [13:56<05:47, 1.53s/it]
60%|ββββββ | 341/567 [13:57<05:19, 1.42s/it]
60%|ββββββ | 342/567 [14:00<06:15, 1.67s/it]
60%|ββββββ | 343/567 [14:01<06:03, 1.62s/it]
61%|ββββββ | 344/567 [14:03<06:39, 1.79s/it]
61%|ββββββ | 345/567 [14:05<06:36, 1.79s/it]
61%|ββββββ | 346/567 [14:07<06:25, 1.74s/it]
61%|ββββββ | 347/567 [14:09<07:04, 1.93s/it]
61%|βββββββ | 348/567 [14:11<07:10, 1.97s/it]
62%|βββββββ | 349/567 [14:16<09:49, 2.70s/it]
62%|βββββββ | 350/567 [14:18<09:14, 2.56s/it]
62%|βββββββ | 351/567 [14:26<15:27, 4.30s/it]
62%|βββββββ | 352/567 [14:28<12:33, 3.50s/it]
62%|βββββββ | 353/567 [14:32<12:42, 3.56s/it]
62%|βββββββ | 354/567 [14:35<12:12, 3.44s/it]
63%|βββββββ | 355/567 [14:37<10:22, 2.94s/it]
63%|βββββββ | 356/567 [14:39<09:46, 2.78s/it]
63%|βββββββ | 357/567 [14:40<08:13, 2.35s/it]
63%|βββββββ | 358/567 [14:42<07:34, 2.17s/it]
63%|βββββββ | 359/567 [14:43<06:40, 1.92s/it]
63%|βββββββ | 360/567 [14:44<05:46, 1.67s/it]
64%|βββββββ | 361/567 [14:46<05:48, 1.69s/it]
64%|βββββββ | 362/567 [14:50<07:39, 2.24s/it]
64%|βββββββ | 363/567 [14:54<09:22, 2.76s/it]
64%|βββββββ | 364/567 [15:23<36:19, 10.74s/it]
64%|βββββββ | 365/567 [15:25<27:11, 8.08s/it]
65%|βββββββ | 366/567 [15:28<21:55, 6.54s/it]
65%|βββββββ | 367/567 [15:30<17:45, 5.33s/it]
65%|βββββββ | 368/567 [15:34<16:00, 4.83s/it]
65%|βββββββ | 369/567 [15:37<14:03, 4.26s/it]
65%|βββββββ | 370/567 [15:38<11:10, 3.40s/it]
65%|βββββββ | 371/567 [15:40<09:30, 2.91s/it]
66%|βββββββ | 372/567 [15:42<08:03, 2.48s/it]
66%|βββββββ | 373/567 [15:46<09:34, 2.96s/it]
66%|βββββββ | 374/567 [15:49<10:04, 3.13s/it]
66%|βββββββ | 375/567 [15:52<09:37, 3.01s/it]
66%|βββββββ | 376/567 [15:53<08:05, 2.54s/it]
66%|βββββββ | 377/567 [15:58<09:39, 3.05s/it]
67%|βββββββ | 378/567 [16:01<09:58, 3.17s/it]
67%|βββββββ | 379/567 [16:04<09:36, 3.06s/it]
67%|βββββββ | 380/567 [16:05<08:08, 2.61s/it]
67%|βββββββ | 381/567 [16:08<07:40, 2.48s/it]
67%|βββββββ | 382/567 [16:09<06:28, 2.10s/it]
68%|βββββββ | 383/567 [16:12<07:29, 2.44s/it]
68%|βββββββ | 384/567 [16:16<09:02, 2.97s/it]
68%|βββββββ | 385/567 [16:20<09:17, 3.06s/it]
68%|βββββββ | 386/567 [16:22<08:28, 2.81s/it]
68%|βββββββ | 387/567 [16:24<07:37, 2.54s/it]
68%|βββββββ | 388/567 [16:31<12:00, 4.02s/it]
69%|βββββββ | 389/567 [16:33<09:54, 3.34s/it]
69%|βββββββ | 390/567 [16:34<07:51, 2.66s/it]
69%|βββββββ | 391/567 [16:38<08:37, 2.94s/it]
69%|βββββββ | 392/567 [16:40<08:29, 2.91s/it]
69%|βββββββ | 393/567 [16:42<07:20, 2.53s/it]
69%|βββββββ | 394/567 [16:45<07:25, 2.57s/it]
70%|βββββββ | 395/567 [16:49<08:41, 3.03s/it]
70%|βββββββ | 396/567 [16:51<07:57, 2.79s/it]
70%|βββββββ | 397/567 [16:57<10:15, 3.62s/it]
70%|βββββββ | 398/567 [16:57<07:50, 2.79s/it]
70%|βββββββ | 399/567 [16:58<06:10, 2.20s/it]
71%|βββββββ | 400/567 [17:00<05:21, 1.92s/it]
71%|βββββββ | 401/567 [17:01<04:46, 1.73s/it]
71%|βββββββ | 402/567 [17:04<06:17, 2.29s/it]
71%|βββββββ | 403/567 [17:07<06:26, 2.36s/it]
71%|ββββββββ | 404/567 [17:08<05:25, 2.00s/it]
71%|ββββββββ | 405/567 [17:09<04:51, 1.80s/it]
72%|ββββββββ | 406/567 [17:12<05:14, 1.95s/it]
72%|ββββββββ | 407/567 [17:13<04:36, 1.73s/it]
72%|ββββββββ | 408/567 [17:18<07:18, 2.76s/it]
72%|ββββββββ | 409/567 [17:20<06:14, 2.37s/it]
72%|ββββββββ | 410/567 [17:21<05:28, 2.10s/it]
72%|ββββββββ | 411/567 [17:22<04:42, 1.81s/it]
73%|ββββββββ | 412/567 [17:25<05:09, 2.00s/it]
73%|ββββββββ | 413/567 [17:27<05:34, 2.18s/it]
73%|ββββββββ | 414/567 [17:28<04:31, 1.77s/it]
73%|ββββββββ | 415/567 [17:33<06:35, 2.60s/it]
73%|ββββββββ | 416/567 [17:34<05:58, 2.37s/it]
74%|ββββββββ | 417/567 [17:41<08:49, 3.53s/it]
74%|ββββββββ | 418/567 [17:43<07:59, 3.22s/it]
74%|ββββββββ | 419/567 [17:52<12:24, 5.03s/it]
74%|ββββββββ | 420/567 [17:55<10:11, 4.16s/it]
74%|ββββββββ | 421/567 [17:58<09:35, 3.94s/it]
74%|ββββββββ | 422/567 [18:01<08:35, 3.56s/it]
75%|ββββββββ | 423/567 [18:03<07:42, 3.21s/it]
75%|ββββββββ | 424/567 [18:06<07:11, 3.02s/it]
75%|ββββββββ | 425/567 [18:08<06:46, 2.86s/it]
75%|ββββββββ | 426/567 [18:10<05:41, 2.42s/it]
75%|ββββββββ | 427/567 [18:11<05:15, 2.25s/it]
75%|ββββββββ | 428/567 [18:15<06:28, 2.80s/it]
76%|ββββββββ | 429/567 [18:20<07:47, 3.39s/it]
76%|ββββββββ | 430/567 [18:21<06:15, 2.74s/it]
76%|ββββββββ | 431/567 [18:26<07:41, 3.39s/it]
76%|ββββββββ | 432/567 [18:30<07:47, 3.47s/it]
76%|ββββββββ | 433/567 [18:33<07:22, 3.30s/it]
77%|ββββββββ | 434/567 [18:36<07:28, 3.37s/it]
77%|ββββββββ | 435/567 [18:37<05:52, 2.67s/it]
77%|ββββββββ | 436/567 [18:40<05:32, 2.54s/it]
77%|ββββββββ | 437/567 [18:41<04:59, 2.30s/it]
77%|ββββββββ | 438/567 [18:45<05:39, 2.64s/it]
77%|ββββββββ | 439/567 [18:47<05:23, 2.53s/it]
78%|ββββββββ | 440/567 [18:48<04:28, 2.11s/it]
78%|ββββββββ | 441/567 [18:50<04:28, 2.13s/it]
78%|ββββββββ | 442/567 [18:52<04:04, 1.95s/it]
78%|ββββββββ | 443/567 [18:53<03:43, 1.80s/it]
78%|ββββββββ | 444/567 [18:58<05:30, 2.69s/it]
78%|ββββββββ | 445/567 [19:00<05:00, 2.46s/it]
79%|ββββββββ | 446/567 [19:05<06:15, 3.10s/it]
79%|ββββββββ | 447/567 [19:07<05:56, 2.97s/it]
79%|ββββββββ | 448/567 [19:09<05:21, 2.70s/it]
79%|ββββββββ | 449/567 [19:11<04:34, 2.33s/it]
79%|ββββββββ | 450/567 [19:14<04:44, 2.43s/it]
80%|ββββββββ | 451/567 [19:15<04:07, 2.14s/it]
80%|ββββββββ | 452/567 [19:17<03:51, 2.01s/it]
80%|ββββββββ | 453/567 [19:20<04:37, 2.43s/it]
80%|ββββββββ | 454/567 [19:22<04:10, 2.22s/it]
80%|ββββββββ | 455/567 [19:23<03:34, 1.91s/it]
80%|ββββββββ | 456/567 [19:24<03:05, 1.67s/it]
81%|ββββββββ | 457/567 [19:26<02:54, 1.58s/it]
81%|ββββββββ | 458/567 [19:27<03:02, 1.68s/it]
81%|ββββββββ | 459/567 [19:30<03:35, 1.99s/it]
81%|ββββββββ | 460/567 [19:31<02:46, 1.56s/it]
81%|βββββββββ | 461/567 [19:32<02:36, 1.47s/it]
81%|βββββββββ | 462/567 [19:33<02:24, 1.38s/it]
82%|βββββββββ | 463/567 [19:35<02:27, 1.42s/it]
82%|βββββββββ | 464/567 [19:36<02:14, 1.30s/it]
82%|βββββββββ | 465/567 [19:38<02:57, 1.74s/it]
82%|βββββββββ | 466/567 [19:40<02:47, 1.66s/it]
82%|βββββββββ | 467/567 [19:41<02:23, 1.43s/it]
83%|βββββββββ | 468/567 [19:43<02:38, 1.61s/it]
83%|βββββββββ | 469/567 [19:45<02:38, 1.62s/it]
83%|βββββββββ | 470/567 [19:47<02:57, 1.83s/it]
83%|βββββββββ | 471/567 [19:50<03:42, 2.32s/it]
83%|βββββββββ | 472/567 [19:55<04:35, 2.90s/it]
83%|βββββββββ | 473/567 [19:57<04:25, 2.83s/it]
84%|βββββββββ | 474/567 [20:00<04:33, 2.94s/it]
84%|βββββββββ | 475/567 [20:01<03:29, 2.27s/it]
84%|βββββββββ | 476/567 [20:02<02:58, 1.96s/it]
84%|βββββββββ | 477/567 [20:03<02:21, 1.57s/it]
84%|βββββββββ | 478/567 [20:04<02:08, 1.44s/it]
84%|βββββββββ | 479/567 [20:05<01:54, 1.30s/it]
85%|βββββββββ | 480/567 [20:07<01:57, 1.35s/it]
85%|βββββββββ | 481/567 [20:11<03:27, 2.41s/it]
85%|βββββββββ | 482/567 [20:13<03:05, 2.18s/it]
85%|βββββββββ | 483/567 [20:15<02:44, 1.96s/it]
85%|βββββββββ | 484/567 [20:17<02:48, 2.03s/it]
86%|βββββββββ | 485/567 [20:18<02:24, 1.76s/it]
86%|βββββββββ | 486/567 [20:20<02:29, 1.85s/it]
86%|βββββββββ | 487/567 [20:24<03:14, 2.43s/it]
86%|βββββββββ | 488/567 [20:25<02:35, 1.97s/it]
86%|βββββββββ | 489/567 [20:26<02:18, 1.78s/it]
86%|βββββββββ | 490/567 [20:30<03:08, 2.45s/it]
87%|βββββββββ | 491/567 [20:32<02:54, 2.29s/it]
87%|βββββββββ | 492/567 [20:33<02:19, 1.86s/it]
87%|βββββββββ | 493/567 [20:35<02:36, 2.11s/it]
87%|βββββββββ | 494/567 [20:38<02:34, 2.12s/it]
87%|βββββββββ | 495/567 [20:46<04:50, 4.03s/it]
87%|βββββββββ | 496/567 [20:47<03:46, 3.19s/it]
88%|βββββββββ | 497/567 [20:51<03:49, 3.27s/it]
88%|βββββββββ | 498/567 [20:53<03:26, 3.00s/it]
88%|βββββββββ | 499/567 [20:55<03:00, 2.66s/it]
88%|βββββββββ | 500/567 [20:59<03:17, 2.95s/it]
88%|βββββββββ | 501/567 [21:00<02:37, 2.39s/it]
89%|βββββββββ | 502/567 [21:02<02:36, 2.40s/it]
89%|βββββββββ | 503/567 [21:08<03:48, 3.57s/it]
89%|βββββββββ | 504/567 [21:11<03:29, 3.32s/it]
89%|βββββββββ | 505/567 [21:14<03:15, 3.15s/it]
89%|βββββββββ | 506/567 [21:18<03:33, 3.50s/it]
89%|βββββββββ | 507/567 [21:19<02:48, 2.81s/it]
90%|βββββββββ | 508/567 [21:23<02:52, 2.92s/it]
90%|βββββββββ | 509/567 [21:24<02:22, 2.45s/it]
90%|βββββββββ | 510/567 [21:28<02:39, 2.80s/it]
90%|βββββββββ | 511/567 [21:29<02:21, 2.52s/it]
90%|βββββββββ | 512/567 [21:34<02:54, 3.18s/it]
90%|βββββββββ | 513/567 [21:37<02:44, 3.04s/it]
91%|βββββββββ | 514/567 [21:37<02:02, 2.31s/it]
91%|βββββββββ | 515/567 [21:39<01:50, 2.12s/it]
91%|βββββββββ | 516/567 [21:41<01:41, 2.00s/it]
91%|βββββββββ | 517/567 [21:44<01:51, 2.23s/it]
91%|ββββββββββ| 518/567 [21:45<01:30, 1.85s/it]
92%|ββββββββββ| 519/567 [21:47<01:30, 1.88s/it]
92%|ββββββββββ| 520/567 [21:48<01:24, 1.79s/it]
92%|ββββββββββ| 521/567 [21:50<01:24, 1.83s/it]
92%|ββββββββββ| 522/567 [21:52<01:24, 1.87s/it]
92%|ββββββββββ| 523/567 [21:54<01:24, 1.93s/it]
92%|ββββββββββ| 524/567 [21:56<01:25, 2.00s/it]
93%|ββββββββββ| 525/567 [21:58<01:21, 1.94s/it]
93%|ββββββββββ| 526/567 [22:00<01:20, 1.95s/it]
93%|ββββββββββ| 527/567 [22:03<01:24, 2.12s/it]
93%|ββββββββββ| 528/567 [22:04<01:14, 1.90s/it]
93%|ββββββββββ| 529/567 [22:06<01:08, 1.81s/it]
93%|ββββββββββ| 530/567 [22:09<01:25, 2.32s/it]
94%|ββββββββββ| 531/567 [22:11<01:16, 2.12s/it]
94%|ββββββββββ| 532/567 [22:12<01:09, 1.98s/it]
94%|ββββββββββ| 533/567 [22:14<01:02, 1.82s/it]
94%|ββββββββββ| 534/567 [22:15<00:55, 1.69s/it]
94%|ββββββββββ| 535/567 [22:18<01:00, 1.89s/it]
95%|ββββββββββ| 536/567 [22:20<00:59, 1.91s/it]
95%|ββββββββββ| 537/567 [22:21<00:55, 1.87s/it]
95%|ββββββββββ| 538/567 [22:23<00:51, 1.78s/it]
95%|ββββββββββ| 539/567 [22:29<01:28, 3.18s/it]
95%|ββββββββββ| 540/567 [22:34<01:37, 3.59s/it]
95%|ββββββββββ| 541/567 [22:37<01:33, 3.60s/it]
96%|ββββββββββ| 542/567 [22:41<01:25, 3.44s/it]
96%|ββββββββββ| 543/567 [22:49<01:58, 4.96s/it]
96%|ββββββββββ| 544/567 [22:50<01:23, 3.64s/it]
96%|ββββββββββ| 545/567 [22:52<01:14, 3.41s/it]
96%|ββββββββββ| 546/567 [22:55<01:03, 3.01s/it]
96%|ββββββββββ| 547/567 [22:56<00:49, 2.46s/it]
97%|ββββββββββ| 548/567 [22:58<00:44, 2.35s/it]
97%|ββββββββββ| 549/567 [22:59<00:35, 1.97s/it]
97%|ββββββββββ| 550/567 [23:01<00:32, 1.92s/it]
97%|ββββββββββ| 551/567 [23:03<00:30, 1.89s/it]
97%|ββββββββββ| 552/567 [23:06<00:33, 2.26s/it]
98%|ββββββββββ| 553/567 [23:07<00:26, 1.92s/it]
98%|ββββββββββ| 554/567 [23:08<00:23, 1.80s/it]
98%|ββββββββββ| 555/567 [23:10<00:21, 1.81s/it]
98%|ββββββββββ| 556/567 [23:11<00:17, 1.58s/it]
98%|ββββββββββ| 557/567 [23:15<00:21, 2.15s/it]
98%|ββββββββββ| 558/567 [23:17<00:19, 2.20s/it]
99%|ββββββββββ| 559/567 [23:20<00:20, 2.56s/it]
99%|ββββββββββ| 560/567 [23:23<00:18, 2.65s/it]
99%|ββββββββββ| 561/567 [23:25<00:13, 2.26s/it]
99%|ββββββββββ| 562/567 [23:29<00:14, 2.90s/it]
99%|ββββββββββ| 563/567 [23:32<00:11, 2.88s/it]
99%|ββββββββββ| 564/567 [23:35<00:08, 2.84s/it]
100%|ββββββββββ| 565/567 [23:36<00:05, 2.52s/it]
100%|ββββββββββ| 566/567 [23:39<00:02, 2.51s/it]
100%|ββββββββββ| 567/567 [23:39<00:00, 1.90s/it]
100%|ββββββββββ| 567/567 [23:39<00:00, 2.50s/it]
Batch output: ['Old Geng raised his rifle, squinted through the sight, and fired. A hailstorm of gold orioles fell to the ground, scattering iron shot among the willow branches, which crackled and snapped.', 'The next morning, before it was light, Grannie Liu got up and washed and dressed, and then went over a few phrases with Ban-er, who was very pleased to hear that he was going to be taken into the city with her.']
internlm/internlm2_5-7b-chat/checkpoint-140/rpp-1.00 metrics: {'meteor': 0.42914984770349696, 'bleu_scores': {'bleu': 0.15096431231717977, 'precisions': [0.49457083764219234, 0.21647457888447752, 0.11490407867161051, 0.06688341848583372], 'brevity_penalty': 0.8913575845153151, 'length_ratio': 0.8968532626697582, 'translation_length': 27076, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.46771424775419235, 'rouge2': 0.22481374265952492, 'rougeL': 0.41152029134546175, 'rougeLsum': 0.4114377114991131}, 'accuracy': 0.01323918799646955, 'correct_ids': [41, 77, 193, 272, 348, 364, 444, 533, 567, 658, 659, 712, 778, 893, 1011]}
(3) GPU = NVIDIA L40. Max memory = 44.309 GB.
36.336 GB of memory reserved.
Current Directory:
/common/home/users/d/dh.huang.2023/code/rapget-translation
Evaluating Qwen/Qwen2-7B-Instruct
[nltk_data] Downloading package wordnet to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package wordnet is already up-to-date!
[nltk_data] Downloading package punkt to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package punkt is already up-to-date!
[nltk_data] Downloading package omw-1.4 to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package omw-1.4 is already up-to-date!
[nltk_data] Downloading package wordnet to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package wordnet is already up-to-date!
[nltk_data] Downloading package punkt to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package punkt is already up-to-date!
[nltk_data] Downloading package omw-1.4 to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package omw-1.4 is already up-to-date!
loading env vars from: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/.env
Adding /common/home/users/d/dh.huang.2023/common2/code/rapget-translation to sys.path
loading: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/eval_modules/calc_repetitions.py
loading /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/llm_toolkit/translation_utils.py
CUDA is available, we have found 1 GPU(s)
NVIDIA L40
CUDA version: 12.1
Qwen/Qwen2-7B-Instruct llama-factory/saves/Qwen2-7B-Instruct/checkpoint-105 False datasets/mac/mac.tsv results/mac-results_fine_tuned.csv False 300 2
(0) GPU = NVIDIA L40. Max memory = 44.309 GB.
0.0 GB of memory reserved.
loading model: Qwen/Qwen2-7B-Instruct with adapter: llama-factory/saves/Qwen2-7B-Instruct/checkpoint-105
Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]
Loading checkpoint shards: 25%|βββ | 1/4 [00:13<00:39, 13.15s/it]
Loading checkpoint shards: 50%|βββββ | 2/4 [00:28<00:28, 14.49s/it]
Loading checkpoint shards: 75%|ββββββββ | 3/4 [00:44<00:15, 15.00s/it]
Loading checkpoint shards: 100%|ββββββββββ| 4/4 [00:55<00:00, 13.37s/it]
Loading checkpoint shards: 100%|ββββββββββ| 4/4 [00:55<00:00, 13.76s/it]
(2) GPU = NVIDIA L40. Max memory = 44.309 GB.
14.994 GB of memory reserved.
loading train/test data files
DatasetDict({
train: Dataset({
features: ['chinese', 'english', 'text', 'prompt'],
num_rows: 4528
})
test: Dataset({
features: ['chinese', 'english', 'text', 'prompt'],
num_rows: 1133
})
})
--------------------------------------------------
chinese: θθΏη«―θ΅·ζͺοΌη―ηΌθ΅·δΈεͺδΈθ§ηΌοΌδΈζζ³ζΊεδΊζͺοΌε°ιΉθ¬ηιιΊ»ιεε©εͺε¦εΎδΈθ½οΌιη εε¨ζ³ζι΄ι£θΏΈηοΌεεζε£°γ
--------------------------------------------------
english: Old Geng picked up his shotgun, squinted, and pulled the trigger. Two sparrows crashed to the ground like hailstones as shotgun pellets tore noisily through the branches.
--------------------------------------------------
text: <|im_start|>system
You are a helpful assistant that translates Chinese to English.<|im_end|>
<|im_start|>user
You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.
Chinese: θθΏη«―θ΅·ζͺοΌη―ηΌθ΅·δΈεͺδΈθ§ηΌοΌδΈζζ³ζΊεδΊζͺοΌε°ιΉθ¬ηιιΊ»ιεε©εͺε¦εΎδΈθ½οΌιη εε¨ζ³ζι΄ι£θΏΈηοΌεεζε£°γ
English:<|im_end|>
<|im_start|>assistant
Old Geng picked up his shotgun, squinted, and pulled the trigger. Two sparrows crashed to the ground like hailstones as shotgun pellets tore noisily through the branches.<|im_end|>
--------------------------------------------------
prompt: <|im_start|>system
You are a helpful assistant that translates Chinese to English.<|im_end|>
<|im_start|>user
You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.
Chinese: θθΏη«―θ΅·ζͺοΌη―ηΌθ΅·δΈεͺδΈθ§ηΌοΌδΈζζ³ζΊεδΊζͺοΌε°ιΉθ¬ηιιΊ»ιεε©εͺε¦εΎδΈθ½οΌιη εε¨ζ³ζι΄ι£θΏΈηοΌεεζε£°γ
English:<|im_end|>
<|im_start|>assistant
--------------------------------------------------
chinese: ε―ΉζδΈε»δΉδΈθ½ζΎζΎγ
--------------------------------------------------
english: People shouldn't let up on me for a minute.
--------------------------------------------------
text: <|im_start|>system
You are a helpful assistant that translates Chinese to English.<|im_end|>
<|im_start|>user
You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.
Chinese: ε―ΉζδΈε»δΉδΈθ½ζΎζΎγ
English:<|im_end|>
<|im_start|>assistant
People shouldn't let up on me for a minute.<|im_end|>
--------------------------------------------------
prompt: <|im_start|>system
You are a helpful assistant that translates Chinese to English.<|im_end|>
<|im_start|>user
You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.
Chinese: ε―ΉζδΈε»δΉδΈθ½ζΎζΎγ
English:<|im_end|>
<|im_start|>assistant
Evaluating model: Qwen/Qwen2-7B-Instruct/checkpoint-105 on cuda
*** Evaluating with repetition_penalty: 1.0
0%| | 0/567 [00:00<?, ?it/s]
0%| | 1/567 [00:03<35:14, 3.74s/it]
0%| | 2/567 [00:07<35:44, 3.80s/it]
1%| | 3/567 [00:09<27:34, 2.93s/it]
1%| | 4/567 [00:15<37:15, 3.97s/it]
1%| | 5/567 [00:16<27:03, 2.89s/it]
1%| | 6/567 [00:18<24:20, 2.60s/it]
1%| | 7/567 [00:18<18:33, 1.99s/it]
1%|β | 8/567 [00:20<18:35, 1.99s/it]
2%|β | 9/567 [00:23<20:25, 2.20s/it]
2%|β | 10/567 [00:24<18:11, 1.96s/it]
2%|β | 11/567 [00:27<19:10, 2.07s/it]
2%|β | 12/567 [00:28<15:48, 1.71s/it]
2%|β | 13/567 [00:30<18:01, 1.95s/it]
2%|β | 14/567 [00:31<16:25, 1.78s/it]
3%|β | 15/567 [00:32<14:07, 1.53s/it]
3%|β | 16/567 [00:35<16:03, 1.75s/it]
3%|β | 17/567 [00:39<23:30, 2.57s/it]
3%|β | 18/567 [00:40<20:05, 2.19s/it]
3%|β | 19/567 [00:41<16:50, 1.84s/it]
4%|β | 20/567 [00:43<15:16, 1.68s/it]
4%|β | 21/567 [00:46<18:18, 2.01s/it]
4%|β | 22/567 [00:47<16:51, 1.86s/it]
4%|β | 23/567 [00:50<18:49, 2.08s/it]
4%|β | 24/567 [00:51<16:23, 1.81s/it]
4%|β | 25/567 [00:52<13:32, 1.50s/it]
5%|β | 26/567 [00:54<16:11, 1.80s/it]
5%|β | 27/567 [00:55<14:30, 1.61s/it]
5%|β | 28/567 [01:00<22:35, 2.51s/it]
5%|β | 29/567 [01:02<20:24, 2.28s/it]
5%|β | 30/567 [01:04<20:19, 2.27s/it]
5%|β | 31/567 [01:05<16:09, 1.81s/it]
6%|β | 32/567 [01:06<15:38, 1.75s/it]
6%|β | 33/567 [01:08<14:37, 1.64s/it]
6%|β | 34/567 [01:10<17:27, 1.97s/it]
6%|β | 35/567 [01:13<18:25, 2.08s/it]
6%|β | 36/567 [01:13<14:39, 1.66s/it]
7%|β | 37/567 [01:14<11:46, 1.33s/it]
7%|β | 38/567 [01:15<10:32, 1.20s/it]
7%|β | 39/567 [01:16<11:24, 1.30s/it]
7%|β | 40/567 [01:18<12:38, 1.44s/it]
7%|β | 41/567 [01:19<10:06, 1.15s/it]
7%|β | 42/567 [01:21<14:09, 1.62s/it]
8%|β | 43/567 [01:22<11:32, 1.32s/it]
8%|β | 44/567 [01:24<12:30, 1.43s/it]
8%|β | 45/567 [01:26<13:50, 1.59s/it]
8%|β | 46/567 [01:26<11:50, 1.36s/it]
8%|β | 47/567 [01:28<12:14, 1.41s/it]
8%|β | 48/567 [01:30<14:51, 1.72s/it]
9%|β | 49/567 [01:31<12:16, 1.42s/it]
9%|β | 50/567 [01:34<14:57, 1.74s/it]
9%|β | 51/567 [01:36<17:23, 2.02s/it]
9%|β | 52/567 [01:37<13:54, 1.62s/it]
9%|β | 53/567 [01:44<27:45, 3.24s/it]
10%|β | 54/567 [01:47<27:20, 3.20s/it]
10%|β | 55/567 [01:50<26:34, 3.12s/it]
10%|β | 56/567 [01:54<29:51, 3.51s/it]
10%|β | 57/567 [01:59<33:05, 3.89s/it]
10%|β | 58/567 [02:00<25:05, 2.96s/it]
10%|β | 59/567 [02:02<22:27, 2.65s/it]
11%|β | 60/567 [02:04<20:44, 2.45s/it]
11%|β | 61/567 [02:05<17:35, 2.09s/it]
11%|β | 62/567 [02:07<16:10, 1.92s/it]
11%|β | 63/567 [02:09<17:00, 2.03s/it]
11%|ββ | 64/567 [02:12<19:54, 2.37s/it]
11%|ββ | 65/567 [02:13<16:44, 2.00s/it]
12%|ββ | 66/567 [02:16<19:15, 2.31s/it]
12%|ββ | 67/567 [02:17<15:38, 1.88s/it]
12%|ββ | 68/567 [02:23<24:33, 2.95s/it]
12%|ββ | 69/567 [02:24<20:29, 2.47s/it]
12%|ββ | 70/567 [02:25<18:00, 2.17s/it]
13%|ββ | 71/567 [02:26<14:58, 1.81s/it]
13%|ββ | 72/567 [02:28<15:30, 1.88s/it]
13%|ββ | 73/567 [02:29<12:52, 1.56s/it]
13%|ββ | 74/567 [02:31<12:00, 1.46s/it]
13%|ββ | 75/567 [02:32<11:08, 1.36s/it]
13%|ββ | 76/567 [02:34<12:41, 1.55s/it]
14%|ββ | 77/567 [02:36<13:32, 1.66s/it]
14%|ββ | 78/567 [02:37<13:03, 1.60s/it]
14%|ββ | 79/567 [02:39<14:00, 1.72s/it]
14%|ββ | 80/567 [02:40<12:16, 1.51s/it]
14%|ββ | 81/567 [02:41<11:17, 1.39s/it]
14%|ββ | 82/567 [02:43<12:24, 1.53s/it]
15%|ββ | 83/567 [02:44<12:10, 1.51s/it]
15%|ββ | 84/567 [03:09<1:07:38, 8.40s/it]
15%|ββ | 85/567 [03:10<49:22, 6.15s/it]
15%|ββ | 86/567 [03:10<35:31, 4.43s/it]
15%|ββ | 87/567 [03:11<27:00, 3.38s/it]
16%|ββ | 88/567 [03:12<21:27, 2.69s/it]
16%|ββ | 89/567 [03:16<23:58, 3.01s/it]
16%|ββ | 90/567 [03:18<21:28, 2.70s/it]
16%|ββ | 91/567 [03:21<21:02, 2.65s/it]
16%|ββ | 92/567 [03:22<17:30, 2.21s/it]
16%|ββ | 93/567 [03:22<14:03, 1.78s/it]
17%|ββ | 94/567 [03:25<16:32, 2.10s/it]
17%|ββ | 95/567 [03:26<14:12, 1.81s/it]
17%|ββ | 96/567 [03:28<13:46, 1.75s/it]
17%|ββ | 97/567 [03:30<13:43, 1.75s/it]
17%|ββ | 98/567 [03:30<10:55, 1.40s/it]
17%|ββ | 99/567 [03:32<11:05, 1.42s/it]
18%|ββ | 100/567 [03:35<14:56, 1.92s/it]
18%|ββ | 101/567 [03:36<13:18, 1.71s/it]
18%|ββ | 102/567 [03:38<14:36, 1.88s/it]
18%|ββ | 103/567 [03:39<12:06, 1.57s/it]
18%|ββ | 104/567 [03:41<13:19, 1.73s/it]
19%|ββ | 105/567 [03:47<22:57, 2.98s/it]
19%|ββ | 106/567 [03:49<20:50, 2.71s/it]
19%|ββ | 107/567 [03:50<16:54, 2.20s/it]
19%|ββ | 108/567 [03:56<24:15, 3.17s/it]
19%|ββ | 109/567 [03:56<18:15, 2.39s/it]
19%|ββ | 110/567 [03:58<15:47, 2.07s/it]
20%|ββ | 111/567 [04:02<21:48, 2.87s/it]
20%|ββ | 112/567 [04:05<21:30, 2.84s/it]
20%|ββ | 113/567 [04:09<23:14, 3.07s/it]
20%|ββ | 114/567 [04:10<18:46, 2.49s/it]
20%|ββ | 115/567 [04:12<18:34, 2.47s/it]
20%|ββ | 116/567 [04:14<15:58, 2.13s/it]
21%|ββ | 117/567 [04:15<13:56, 1.86s/it]
21%|ββ | 118/567 [04:17<14:40, 1.96s/it]
21%|ββ | 119/567 [04:21<18:56, 2.54s/it]
21%|ββ | 120/567 [04:23<17:18, 2.32s/it]
21%|βββ | 121/567 [04:24<13:29, 1.82s/it]
22%|βββ | 122/567 [04:24<11:16, 1.52s/it]
22%|βββ | 123/567 [04:26<10:59, 1.49s/it]
22%|βββ | 124/567 [04:27<10:23, 1.41s/it]
22%|βββ | 125/567 [04:28<10:04, 1.37s/it]
22%|βββ | 126/567 [04:30<10:26, 1.42s/it]
22%|βββ | 127/567 [04:34<15:29, 2.11s/it]
23%|βββ | 128/567 [04:36<15:56, 2.18s/it]
23%|βββ | 129/567 [04:39<18:37, 2.55s/it]
23%|βββ | 130/567 [04:45<26:06, 3.58s/it]
23%|βββ | 131/567 [04:49<27:06, 3.73s/it]
23%|βββ | 132/567 [04:56<33:10, 4.58s/it]
23%|βββ | 133/567 [05:02<36:29, 5.04s/it]
24%|βββ | 134/567 [05:07<37:14, 5.16s/it]
24%|βββ | 135/567 [05:09<29:00, 4.03s/it]
24%|βββ | 136/567 [05:10<23:42, 3.30s/it]
24%|βββ | 137/567 [05:12<19:26, 2.71s/it]
24%|βββ | 138/567 [05:13<15:32, 2.17s/it]
25%|βββ | 139/567 [05:15<14:48, 2.08s/it]
25%|βββ | 140/567 [05:16<13:25, 1.89s/it]
25%|βββ | 141/567 [05:18<14:26, 2.03s/it]
25%|βββ | 142/567 [05:19<11:51, 1.67s/it]
25%|βββ | 143/567 [05:20<10:40, 1.51s/it]
25%|βββ | 144/567 [05:22<10:37, 1.51s/it]
26%|βββ | 145/567 [05:23<10:29, 1.49s/it]
26%|βββ | 146/567 [05:25<11:02, 1.57s/it]
26%|βββ | 147/567 [05:28<14:49, 2.12s/it]
26%|βββ | 148/567 [05:31<15:12, 2.18s/it]
26%|βββ | 149/567 [05:32<12:39, 1.82s/it]
26%|βββ | 150/567 [05:32<10:14, 1.47s/it]
27%|βββ | 151/567 [05:33<08:20, 1.20s/it]
27%|βββ | 152/567 [05:35<09:43, 1.41s/it]
27%|βββ | 153/567 [05:37<10:56, 1.58s/it]
27%|βββ | 154/567 [05:38<09:32, 1.39s/it]
27%|βββ | 155/567 [05:39<09:11, 1.34s/it]
28%|βββ | 156/567 [05:41<10:11, 1.49s/it]
28%|βββ | 157/567 [05:42<09:22, 1.37s/it]
28%|βββ | 158/567 [05:45<12:56, 1.90s/it]
28%|βββ | 159/567 [05:46<11:14, 1.65s/it]
28%|βββ | 160/567 [05:51<16:47, 2.47s/it]
28%|βββ | 161/567 [05:52<14:05, 2.08s/it]
29%|βββ | 162/567 [05:53<13:11, 1.95s/it]
29%|βββ | 163/567 [05:55<11:41, 1.74s/it]
29%|βββ | 164/567 [06:22<1:02:40, 9.33s/it]
29%|βββ | 165/567 [06:23<47:08, 7.04s/it]
29%|βββ | 166/567 [06:24<35:12, 5.27s/it]
29%|βββ | 167/567 [06:28<32:02, 4.81s/it]
30%|βββ | 168/567 [06:29<24:38, 3.70s/it]
30%|βββ | 169/567 [06:31<21:30, 3.24s/it]
30%|βββ | 170/567 [06:34<19:07, 2.89s/it]
30%|βββ | 171/567 [06:35<15:56, 2.41s/it]
30%|βββ | 172/567 [06:38<17:43, 2.69s/it]
31%|βββ | 173/567 [06:39<14:31, 2.21s/it]
31%|βββ | 174/567 [06:41<13:08, 2.01s/it]
31%|βββ | 175/567 [06:43<13:33, 2.08s/it]
31%|βββ | 176/567 [06:44<11:46, 1.81s/it]
31%|βββ | 177/567 [06:47<13:27, 2.07s/it]
31%|ββββ | 178/567 [06:48<10:48, 1.67s/it]
32%|ββββ | 179/567 [06:49<10:56, 1.69s/it]
32%|ββββ | 180/567 [06:51<11:30, 1.79s/it]
32%|ββββ | 181/567 [06:53<11:19, 1.76s/it]
32%|ββββ | 182/567 [06:54<09:00, 1.41s/it]
32%|ββββ | 183/567 [06:54<07:40, 1.20s/it]
32%|ββββ | 184/567 [06:57<09:50, 1.54s/it]
33%|ββββ | 185/567 [06:58<08:21, 1.31s/it]
33%|ββββ | 186/567 [07:03<16:04, 2.53s/it]
33%|ββββ | 187/567 [07:04<14:13, 2.25s/it]
33%|ββββ | 188/567 [07:06<11:52, 1.88s/it]
33%|ββββ | 189/567 [07:07<10:48, 1.71s/it]
34%|ββββ | 190/567 [07:08<08:48, 1.40s/it]
34%|ββββ | 191/567 [07:10<10:53, 1.74s/it]
34%|ββββ | 192/567 [07:12<11:13, 1.80s/it]
34%|ββββ | 193/567 [07:20<23:25, 3.76s/it]
34%|ββββ | 194/567 [07:21<18:04, 2.91s/it]
34%|ββββ | 195/567 [07:23<16:21, 2.64s/it]
35%|ββββ | 196/567 [07:25<14:49, 2.40s/it]
35%|ββββ | 197/567 [07:28<16:39, 2.70s/it]
35%|ββββ | 198/567 [07:32<18:13, 2.96s/it]
35%|ββββ | 199/567 [07:34<15:41, 2.56s/it]
35%|ββββ | 200/567 [07:35<13:54, 2.27s/it]
35%|ββββ | 201/567 [07:36<11:07, 1.82s/it]
36%|ββββ | 202/567 [07:37<10:21, 1.70s/it]
36%|ββββ | 203/567 [07:38<08:55, 1.47s/it]
36%|ββββ | 204/567 [07:39<08:03, 1.33s/it]
36%|ββββ | 205/567 [07:41<08:20, 1.38s/it]
36%|ββββ | 206/567 [07:44<11:01, 1.83s/it]
37%|ββββ | 207/567 [07:45<10:05, 1.68s/it]
37%|ββββ | 208/567 [07:48<12:19, 2.06s/it]
37%|ββββ | 209/567 [07:49<09:53, 1.66s/it]
37%|ββββ | 210/567 [07:50<09:56, 1.67s/it]
37%|ββββ | 211/567 [07:52<09:45, 1.64s/it]
37%|ββββ | 212/567 [07:54<09:45, 1.65s/it]
38%|ββββ | 213/567 [07:56<10:57, 1.86s/it]
38%|ββββ | 214/567 [07:58<10:45, 1.83s/it]
38%|ββββ | 215/567 [08:00<11:00, 1.88s/it]
38%|ββββ | 216/567 [08:02<11:24, 1.95s/it]
38%|ββββ | 217/567 [08:04<11:15, 1.93s/it]
38%|ββββ | 218/567 [08:09<16:41, 2.87s/it]
39%|ββββ | 219/567 [08:11<15:45, 2.72s/it]
39%|ββββ | 220/567 [08:13<13:34, 2.35s/it]
39%|ββββ | 221/567 [08:14<10:59, 1.90s/it]
39%|ββββ | 222/567 [08:15<09:58, 1.73s/it]
39%|ββββ | 223/567 [08:16<08:33, 1.49s/it]
40%|ββββ | 224/567 [08:18<09:05, 1.59s/it]
40%|ββββ | 225/567 [08:20<09:49, 1.72s/it]
40%|ββββ | 226/567 [08:22<10:34, 1.86s/it]
40%|ββββ | 227/567 [08:23<08:41, 1.53s/it]
40%|ββββ | 228/567 [08:25<10:01, 1.77s/it]
40%|ββββ | 229/567 [08:27<10:17, 1.83s/it]
41%|ββββ | 230/567 [08:28<09:20, 1.66s/it]
41%|ββββ | 231/567 [08:32<13:08, 2.35s/it]
41%|ββββ | 232/567 [08:34<11:31, 2.06s/it]
41%|ββββ | 233/567 [08:36<12:08, 2.18s/it]
41%|βββββ | 234/567 [08:37<09:21, 1.69s/it]
41%|βββββ | 235/567 [08:39<10:05, 1.82s/it]
42%|βββββ | 236/567 [08:40<09:54, 1.79s/it]
42%|βββββ | 237/567 [08:41<08:21, 1.52s/it]
42%|βββββ | 238/567 [08:43<08:02, 1.47s/it]
42%|βββββ | 239/567 [08:44<08:30, 1.56s/it]
42%|βββββ | 240/567 [08:49<14:05, 2.59s/it]
43%|βββββ | 241/567 [08:51<12:34, 2.31s/it]
43%|βββββ | 242/567 [08:52<10:43, 1.98s/it]
43%|βββββ | 243/567 [08:55<11:11, 2.07s/it]
43%|βββββ | 244/567 [08:57<12:05, 2.25s/it]
43%|βββββ | 245/567 [08:58<09:41, 1.80s/it]
43%|βββββ | 246/567 [09:01<11:41, 2.19s/it]
44%|βββββ | 247/567 [09:02<09:09, 1.72s/it]
44%|βββββ | 248/567 [09:04<09:23, 1.77s/it]
44%|βββββ | 249/567 [09:05<08:40, 1.64s/it]
44%|βββββ | 250/567 [09:08<10:51, 2.06s/it]
44%|βββββ | 251/567 [09:12<14:14, 2.71s/it]
44%|βββββ | 252/567 [09:14<13:30, 2.57s/it]
45%|βββββ | 253/567 [09:15<10:34, 2.02s/it]
45%|βββββ | 254/567 [09:22<17:33, 3.37s/it]
45%|βββββ | 255/567 [09:23<14:36, 2.81s/it]
45%|βββββ | 256/567 [09:24<11:19, 2.18s/it]
45%|βββββ | 257/567 [09:27<12:02, 2.33s/it]
46%|βββββ | 258/567 [09:30<12:56, 2.51s/it]
46%|βββββ | 259/567 [09:30<10:23, 2.02s/it]
46%|βββββ | 260/567 [09:36<16:12, 3.17s/it]
46%|βββββ | 261/567 [09:38<14:06, 2.77s/it]
46%|βββββ | 262/567 [09:40<12:58, 2.55s/it]
46%|βββββ | 263/567 [09:41<10:48, 2.13s/it]
47%|βββββ | 264/567 [09:42<08:19, 1.65s/it]
47%|βββββ | 265/567 [09:46<11:52, 2.36s/it]
47%|βββββ | 266/567 [09:47<09:23, 1.87s/it]
47%|βββββ | 267/567 [09:48<08:55, 1.78s/it]
47%|βββββ | 268/567 [09:52<11:19, 2.27s/it]
47%|βββββ | 269/567 [09:54<10:52, 2.19s/it]
48%|βββββ | 270/567 [09:55<09:43, 1.96s/it]
48%|βββββ | 271/567 [09:58<11:11, 2.27s/it]
48%|βββββ | 272/567 [10:00<10:14, 2.08s/it]
48%|βββββ | 273/567 [10:01<09:06, 1.86s/it]
48%|βββββ | 274/567 [10:02<08:30, 1.74s/it]
49%|βββββ | 275/567 [10:04<08:15, 1.70s/it]
49%|βββββ | 276/567 [10:07<09:56, 2.05s/it]
49%|βββββ | 277/567 [10:09<09:55, 2.05s/it]
49%|βββββ | 278/567 [10:10<08:02, 1.67s/it]
49%|βββββ | 279/567 [10:14<11:14, 2.34s/it]
49%|βββββ | 280/567 [10:16<10:49, 2.26s/it]
50%|βββββ | 281/567 [10:16<08:26, 1.77s/it]
50%|βββββ | 282/567 [10:17<07:17, 1.53s/it]
50%|βββββ | 283/567 [10:20<09:36, 2.03s/it]
50%|βββββ | 284/567 [10:22<08:09, 1.73s/it]
50%|βββββ | 285/567 [10:23<07:37, 1.62s/it]
50%|βββββ | 286/567 [10:24<06:11, 1.32s/it]
51%|βββββ | 287/567 [10:26<07:36, 1.63s/it]
51%|βββββ | 288/567 [10:29<08:59, 1.93s/it]
51%|βββββ | 289/567 [10:31<09:23, 2.03s/it]
51%|βββββ | 290/567 [10:33<09:26, 2.05s/it]
51%|ββββββ | 291/567 [10:35<09:07, 1.98s/it]
51%|ββββββ | 292/567 [10:37<09:07, 1.99s/it]
52%|ββββββ | 293/567 [10:39<08:51, 1.94s/it]
52%|ββββββ | 294/567 [10:40<08:08, 1.79s/it]
52%|ββββββ | 295/567 [10:41<07:12, 1.59s/it]
52%|ββββββ | 296/567 [10:43<08:09, 1.81s/it]
52%|ββββββ | 297/567 [10:45<07:17, 1.62s/it]
53%|ββββββ | 298/567 [10:51<14:23, 3.21s/it]
53%|ββββββ | 299/567 [10:53<12:09, 2.72s/it]
53%|ββββββ | 300/567 [10:55<11:21, 2.55s/it]
53%|ββββββ | 301/567 [10:57<10:23, 2.34s/it]
53%|ββββββ | 302/567 [10:58<09:01, 2.04s/it]
53%|ββββββ | 303/567 [11:00<08:10, 1.86s/it]
54%|ββββββ | 304/567 [11:01<07:10, 1.64s/it]
54%|ββββββ | 305/567 [11:03<07:01, 1.61s/it]
54%|ββββββ | 306/567 [11:05<07:58, 1.83s/it]
54%|ββββββ | 307/567 [11:09<10:47, 2.49s/it]
54%|ββββββ | 308/567 [11:10<08:56, 2.07s/it]
54%|ββββββ | 309/567 [11:11<07:02, 1.64s/it]
55%|ββββββ | 310/567 [11:20<17:33, 4.10s/it]
55%|ββββββ | 311/567 [11:23<15:45, 3.70s/it]
55%|ββββββ | 312/567 [11:24<12:23, 2.91s/it]
55%|ββββββ | 313/567 [11:25<09:48, 2.32s/it]
55%|ββββββ | 314/567 [11:27<09:36, 2.28s/it]
56%|ββββββ | 315/567 [11:30<10:02, 2.39s/it]
56%|ββββββ | 316/567 [11:31<08:17, 1.98s/it]
56%|ββββββ | 317/567 [11:33<08:04, 1.94s/it]
56%|ββββββ | 318/567 [11:34<06:32, 1.57s/it]
56%|ββββββ | 319/567 [11:36<07:22, 1.78s/it]
56%|ββββββ | 320/567 [11:36<05:44, 1.39s/it]
57%|ββββββ | 321/567 [11:40<08:23, 2.05s/it]
57%|ββββββ | 322/567 [11:42<08:16, 2.03s/it]
57%|ββββββ | 323/567 [11:44<08:08, 2.00s/it]
57%|ββββββ | 324/567 [11:46<07:52, 1.94s/it]
57%|ββββββ | 325/567 [11:51<12:07, 3.01s/it]
57%|ββββββ | 326/567 [11:52<09:19, 2.32s/it]
58%|ββββββ | 327/567 [11:53<08:09, 2.04s/it]
58%|ββββββ | 328/567 [11:55<07:44, 1.94s/it]
58%|ββββββ | 329/567 [11:58<09:30, 2.40s/it]
58%|ββββββ | 330/567 [11:59<07:08, 1.81s/it]
58%|ββββββ | 331/567 [12:00<06:39, 1.69s/it]
59%|ββββββ | 332/567 [12:01<05:51, 1.50s/it]
59%|ββββββ | 333/567 [12:04<06:39, 1.71s/it]
59%|ββββββ | 334/567 [12:05<06:05, 1.57s/it]
59%|ββββββ | 335/567 [12:06<05:30, 1.42s/it]
59%|ββββββ | 336/567 [12:07<04:36, 1.20s/it]
59%|ββββββ | 337/567 [12:09<06:30, 1.70s/it]
60%|ββββββ | 338/567 [12:11<05:53, 1.54s/it]
60%|ββββββ | 339/567 [12:12<05:22, 1.42s/it]
60%|ββββββ | 340/567 [12:12<04:36, 1.22s/it]
60%|ββββββ | 341/567 [12:13<04:15, 1.13s/it]
60%|ββββββ | 342/567 [12:16<05:23, 1.44s/it]
60%|ββββββ | 343/567 [12:17<05:08, 1.38s/it]
61%|ββββββ | 344/567 [12:18<05:24, 1.46s/it]
61%|ββββββ | 345/567 [12:20<05:46, 1.56s/it]
61%|ββββββ | 346/567 [12:21<05:12, 1.42s/it]
61%|ββββββ | 347/567 [12:23<05:40, 1.55s/it]
61%|βββββββ | 348/567 [12:25<05:45, 1.58s/it]
62%|βββββββ | 349/567 [12:30<09:12, 2.53s/it]
62%|βββββββ | 350/567 [12:31<08:21, 2.31s/it]
62%|βββββββ | 351/567 [12:41<15:59, 4.44s/it]
62%|βββββββ | 352/567 [12:42<12:05, 3.37s/it]
62%|βββββββ | 353/567 [12:45<12:06, 3.40s/it]
62%|βββββββ | 354/567 [12:47<10:49, 3.05s/it]
63%|βββββββ | 355/567 [12:49<09:09, 2.59s/it]
63%|βββββββ | 356/567 [12:51<08:22, 2.38s/it]
63%|βββββββ | 357/567 [12:52<06:54, 1.97s/it]
63%|βββββββ | 358/567 [12:53<06:08, 1.76s/it]
63%|βββββββ | 359/567 [12:54<05:14, 1.51s/it]
63%|βββββββ | 360/567 [12:55<04:48, 1.40s/it]
64%|βββββββ | 361/567 [12:57<04:52, 1.42s/it]
64%|βββββββ | 362/567 [12:59<06:11, 1.81s/it]
64%|βββββββ | 363/567 [13:03<07:46, 2.29s/it]
64%|βββββββ | 364/567 [13:08<10:31, 3.11s/it]
64%|βββββββ | 365/567 [13:09<09:00, 2.68s/it]
65%|βββββββ | 366/567 [13:11<07:28, 2.23s/it]
65%|βββββββ | 367/567 [13:13<07:08, 2.14s/it]
65%|βββββββ | 368/567 [13:15<07:50, 2.36s/it]
65%|βββββββ | 369/567 [13:18<07:49, 2.37s/it]
65%|βββββββ | 370/567 [13:19<06:46, 2.06s/it]
65%|βββββββ | 371/567 [13:20<05:42, 1.75s/it]
66%|βββββββ | 372/567 [13:21<05:15, 1.62s/it]
66%|βββββββ | 373/567 [13:25<07:10, 2.22s/it]
66%|βββββββ | 374/567 [13:29<08:19, 2.59s/it]
66%|βββββββ | 375/567 [13:31<08:16, 2.59s/it]
66%|βββββββ | 376/567 [13:32<06:53, 2.16s/it]
66%|βββββββ | 377/567 [13:35<07:33, 2.39s/it]
67%|βββββββ | 378/567 [13:37<06:49, 2.16s/it]
67%|βββββββ | 379/567 [13:39<07:00, 2.24s/it]
67%|βββββββ | 380/567 [13:41<06:14, 2.00s/it]
67%|βββββββ | 381/567 [13:42<05:54, 1.91s/it]
67%|βββββββ | 382/567 [13:44<05:12, 1.69s/it]
68%|βββββββ | 383/567 [13:46<05:58, 1.95s/it]
68%|βββββββ | 384/567 [13:49<06:38, 2.18s/it]
68%|βββββββ | 385/567 [13:52<07:18, 2.41s/it]
68%|βββββββ | 386/567 [13:54<07:26, 2.47s/it]
68%|βββββββ | 387/567 [13:56<06:42, 2.24s/it]
68%|βββββββ | 388/567 [14:05<12:50, 4.31s/it]
69%|βββββββ | 389/567 [14:07<10:42, 3.61s/it]
69%|βββββββ | 390/567 [14:08<08:13, 2.79s/it]
69%|βββββββ | 391/567 [14:13<09:39, 3.30s/it]
69%|βββββββ | 392/567 [14:16<09:26, 3.24s/it]
69%|βββββββ | 393/567 [14:17<07:28, 2.57s/it]
69%|βββββββ | 394/567 [14:19<07:25, 2.57s/it]
70%|βββββββ | 395/567 [14:23<08:36, 3.00s/it]
70%|βββββββ | 396/567 [14:25<07:17, 2.56s/it]
70%|βββββββ | 397/567 [14:29<08:39, 3.05s/it]
70%|βββββββ | 398/567 [14:30<06:28, 2.30s/it]
70%|βββββββ | 399/567 [14:31<05:26, 1.94s/it]
71%|βββββββ | 400/567 [14:32<05:03, 1.82s/it]
71%|βββββββ | 401/567 [14:34<05:00, 1.81s/it]
71%|βββββββ | 402/567 [14:37<05:45, 2.10s/it]
71%|βββββββ | 403/567 [14:39<05:34, 2.04s/it]
71%|ββββββββ | 404/567 [14:40<04:35, 1.69s/it]
71%|ββββββββ | 405/567 [14:40<03:56, 1.46s/it]
72%|ββββββββ | 406/567 [14:42<04:02, 1.50s/it]
72%|ββββββββ | 407/567 [14:43<03:39, 1.37s/it]
72%|ββββββββ | 408/567 [14:46<04:53, 1.85s/it]
72%|ββββββββ | 409/567 [14:48<04:31, 1.72s/it]
72%|ββββββββ | 410/567 [14:49<04:07, 1.57s/it]
72%|ββββββββ | 411/567 [14:49<03:20, 1.29s/it]
73%|ββββββββ | 412/567 [14:52<04:03, 1.57s/it]
73%|ββββββββ | 413/567 [14:54<04:21, 1.70s/it]
73%|ββββββββ | 414/567 [14:54<03:33, 1.39s/it]
73%|ββββββββ | 415/567 [14:58<05:16, 2.08s/it]
73%|ββββββββ | 416/567 [15:00<05:11, 2.07s/it]
74%|ββββββββ | 417/567 [15:06<08:21, 3.34s/it]
74%|ββββββββ | 418/567 [15:09<07:30, 3.03s/it]
74%|ββββββββ | 419/567 [15:14<09:11, 3.73s/it]
74%|ββββββββ | 420/567 [15:16<07:56, 3.24s/it]
74%|ββββββββ | 421/567 [15:18<07:11, 2.95s/it]
74%|ββββββββ | 422/567 [15:21<06:34, 2.72s/it]
75%|ββββββββ | 423/567 [15:22<05:50, 2.43s/it]
75%|ββββββββ | 424/567 [15:24<05:18, 2.22s/it]
75%|ββββββββ | 425/567 [15:26<05:06, 2.16s/it]
75%|ββββββββ | 426/567 [15:27<04:16, 1.82s/it]
75%|ββββββββ | 427/567 [15:28<03:54, 1.67s/it]
75%|ββββββββ | 428/567 [15:32<05:32, 2.39s/it]
76%|ββββββββ | 429/567 [15:36<06:08, 2.67s/it]
76%|ββββββββ | 430/567 [15:37<04:56, 2.16s/it]
76%|ββββββββ | 431/567 [15:42<06:39, 2.94s/it]
76%|ββββββββ | 432/567 [15:45<07:03, 3.14s/it]
76%|ββββββββ | 433/567 [15:47<06:06, 2.74s/it]
77%|ββββββββ | 434/567 [15:50<06:11, 2.79s/it]
77%|ββββββββ | 435/567 [15:51<04:50, 2.20s/it]
77%|ββββββββ | 436/567 [15:53<04:36, 2.11s/it]
77%|ββββββββ | 437/567 [15:54<03:54, 1.80s/it]
77%|ββββββββ | 438/567 [15:57<04:53, 2.28s/it]
77%|ββββββββ | 439/567 [15:59<04:32, 2.13s/it]
78%|ββββββββ | 440/567 [16:00<03:42, 1.76s/it]
78%|ββββββββ | 441/567 [16:01<03:34, 1.70s/it]
78%|ββββββββ | 442/567 [16:03<03:19, 1.59s/it]
78%|ββββββββ | 443/567 [16:04<03:05, 1.50s/it]
78%|ββββββββ | 444/567 [16:08<04:34, 2.23s/it]
78%|ββββββββ | 445/567 [16:09<04:03, 2.00s/it]
79%|ββββββββ | 446/567 [16:12<04:34, 2.27s/it]
79%|ββββββββ | 447/567 [16:14<04:27, 2.23s/it]
79%|ββββββββ | 448/567 [16:16<04:15, 2.15s/it]
79%|ββββββββ | 449/567 [16:17<03:30, 1.79s/it]
79%|ββββββββ | 450/567 [16:18<03:11, 1.63s/it]
80%|ββββββββ | 451/567 [16:20<02:52, 1.48s/it]
80%|ββββββββ | 452/567 [16:21<02:50, 1.49s/it]
80%|ββββββββ | 453/567 [16:24<03:42, 1.95s/it]
80%|ββββββββ | 454/567 [16:25<03:19, 1.77s/it]
80%|ββββββββ | 455/567 [16:27<02:57, 1.58s/it]
80%|ββββββββ | 456/567 [16:27<02:30, 1.36s/it]
81%|ββββββββ | 457/567 [16:29<02:23, 1.30s/it]
81%|ββββββββ | 458/567 [16:30<02:32, 1.40s/it]
81%|ββββββββ | 459/567 [16:33<03:07, 1.73s/it]
81%|ββββββββ | 460/567 [16:33<02:25, 1.36s/it]
81%|βββββββββ | 461/567 [16:34<02:12, 1.25s/it]
81%|βββββββββ | 462/567 [16:36<02:11, 1.25s/it]
82%|βββββββββ | 463/567 [16:37<02:08, 1.23s/it]
82%|βββββββββ | 464/567 [16:37<01:52, 1.10s/it]
82%|βββββββββ | 465/567 [16:39<02:19, 1.37s/it]
82%|βββββββββ | 466/567 [16:41<02:24, 1.43s/it]
82%|βββββββββ | 467/567 [16:42<02:03, 1.24s/it]
83%|βββββββββ | 468/567 [16:44<02:17, 1.39s/it]
83%|βββββββββ | 469/567 [16:45<02:12, 1.36s/it]
83%|βββββββββ | 470/567 [16:47<02:24, 1.49s/it]
83%|βββββββββ | 471/567 [16:49<02:58, 1.85s/it]
83%|βββββββββ | 472/567 [16:53<03:52, 2.45s/it]
83%|βββββββββ | 473/567 [16:55<03:38, 2.33s/it]
84%|βββββββββ | 474/567 [16:59<04:13, 2.72s/it]
84%|βββββββββ | 475/567 [17:00<03:16, 2.14s/it]
84%|βββββββββ | 476/567 [17:01<02:55, 1.93s/it]
84%|βββββββββ | 477/567 [17:02<02:17, 1.52s/it]
84%|βββββββββ | 478/567 [17:03<02:11, 1.48s/it]
84%|βββββββββ | 479/567 [17:04<01:49, 1.24s/it]
85%|βββββββββ | 480/567 [17:05<01:52, 1.30s/it]
85%|βββββββββ | 481/567 [17:12<04:11, 2.92s/it]
85%|βββββββββ | 482/567 [17:13<03:31, 2.49s/it]
85%|βββββββββ | 483/567 [17:14<02:52, 2.05s/it]
85%|βββββββββ | 484/567 [17:17<03:09, 2.28s/it]
86%|βββββββββ | 485/567 [17:18<02:33, 1.88s/it]
86%|βββββββββ | 486/567 [17:20<02:24, 1.79s/it]
86%|βββββββββ | 487/567 [17:24<03:10, 2.38s/it]
86%|βββββββββ | 488/567 [17:24<02:27, 1.87s/it]
86%|βββββββββ | 489/567 [17:26<02:13, 1.71s/it]
86%|βββββββββ | 490/567 [17:30<03:25, 2.67s/it]
87%|βββββββββ | 491/567 [17:32<02:54, 2.30s/it]
87%|βββββββββ | 492/567 [17:33<02:18, 1.84s/it]
87%|βββββββββ | 493/567 [17:35<02:26, 1.98s/it]
87%|βββββββββ | 494/567 [17:37<02:17, 1.88s/it]
87%|βββββββββ | 495/567 [17:44<04:04, 3.40s/it]
87%|βββββββββ | 496/567 [17:45<03:12, 2.70s/it]
88%|βββββββββ | 497/567 [17:47<03:07, 2.68s/it]
88%|βββββββββ | 498/567 [17:49<02:44, 2.39s/it]
88%|βββββββββ | 499/567 [17:51<02:26, 2.15s/it]
88%|βββββββββ | 500/567 [17:54<02:57, 2.65s/it]
88%|βββββββββ | 501/567 [17:55<02:19, 2.12s/it]
89%|βββββββββ | 502/567 [17:57<02:16, 2.11s/it]
89%|βββββββββ | 503/567 [18:04<03:33, 3.34s/it]
89%|βββββββββ | 504/567 [18:06<03:07, 2.97s/it]
89%|βββββββββ | 505/567 [18:08<02:55, 2.82s/it]
89%|βββββββββ | 506/567 [18:13<03:20, 3.29s/it]
89%|βββββββββ | 507/567 [18:13<02:35, 2.58s/it]
90%|βββββββββ | 508/567 [18:17<02:45, 2.81s/it]
90%|βββββββββ | 509/567 [18:18<02:23, 2.47s/it]
90%|βββββββββ | 510/567 [18:22<02:40, 2.82s/it]
90%|βββββββββ | 511/567 [18:24<02:25, 2.59s/it]
90%|βββββββββ | 512/567 [18:29<03:07, 3.41s/it]
90%|βββββββββ | 513/567 [18:32<02:51, 3.17s/it]
91%|βββββββββ | 514/567 [18:33<02:05, 2.36s/it]
91%|βββββββββ | 515/567 [18:34<01:51, 2.14s/it]
91%|βββββββββ | 516/567 [18:36<01:41, 1.99s/it]
91%|βββββββββ | 517/567 [18:38<01:39, 1.98s/it]
91%|ββββββββββ| 518/567 [18:39<01:26, 1.76s/it]
92%|ββββββββββ| 519/567 [18:41<01:21, 1.70s/it]
92%|ββββββββββ| 520/567 [18:42<01:13, 1.57s/it]
92%|ββββββββββ| 521/567 [18:43<01:12, 1.58s/it]
92%|ββββββββββ| 522/567 [18:48<01:46, 2.36s/it]
92%|ββββββββββ| 523/567 [18:50<01:44, 2.39s/it]
92%|ββββββββββ| 524/567 [18:52<01:31, 2.13s/it]
93%|ββββββββββ| 525/567 [18:53<01:23, 1.99s/it]
93%|ββββββββββ| 526/567 [18:55<01:18, 1.91s/it]
93%|ββββββββββ| 527/567 [18:57<01:21, 2.04s/it]
93%|ββββββββββ| 528/567 [18:59<01:09, 1.78s/it]
93%|ββββββββββ| 529/567 [19:00<01:03, 1.67s/it]
93%|ββββββββββ| 530/567 [19:03<01:15, 2.04s/it]
94%|ββββββββββ| 531/567 [19:04<01:05, 1.83s/it]
94%|ββββββββββ| 532/567 [19:06<01:03, 1.81s/it]
94%|ββββββββββ| 533/567 [19:07<00:53, 1.57s/it]
94%|ββββββββββ| 534/567 [19:08<00:48, 1.47s/it]
94%|ββββββββββ| 535/567 [19:10<00:50, 1.57s/it]
95%|ββββββββββ| 536/567 [19:12<00:48, 1.56s/it]
95%|ββββββββββ| 537/567 [19:14<00:56, 1.88s/it]
95%|ββββββββββ| 538/567 [19:15<00:47, 1.63s/it]
95%|ββββββββββ| 539/567 [19:20<01:11, 2.55s/it]
95%|ββββββββββ| 540/567 [19:26<01:34, 3.51s/it]
95%|ββββββββββ| 541/567 [19:29<01:27, 3.38s/it]
96%|ββββββββββ| 542/567 [19:31<01:20, 3.20s/it]
96%|ββββββββββ| 543/567 [19:40<01:55, 4.83s/it]
96%|ββββββββββ| 544/567 [19:41<01:20, 3.51s/it]
96%|ββββββββββ| 545/567 [19:43<01:07, 3.06s/it]
96%|ββββββββββ| 546/567 [19:44<00:54, 2.58s/it]
96%|ββββββββββ| 547/567 [19:45<00:41, 2.05s/it]
97%|ββββββββββ| 548/567 [19:46<00:35, 1.85s/it]
97%|ββββββββββ| 549/567 [19:47<00:28, 1.56s/it]
97%|ββββββββββ| 550/567 [19:49<00:26, 1.55s/it]
97%|ββββββββββ| 551/567 [19:50<00:25, 1.61s/it]
97%|ββββββββββ| 552/567 [19:54<00:31, 2.07s/it]
98%|ββββββββββ| 553/567 [19:55<00:25, 1.83s/it]
98%|ββββββββββ| 554/567 [19:56<00:21, 1.66s/it]
98%|ββββββββββ| 555/567 [19:58<00:19, 1.61s/it]
98%|ββββββββββ| 556/567 [19:59<00:15, 1.41s/it]
98%|ββββββββββ| 557/567 [20:01<00:18, 1.87s/it]
98%|ββββββββββ| 558/567 [20:03<00:16, 1.86s/it]
99%|ββββββββββ| 559/567 [20:06<00:16, 2.07s/it]
99%|ββββββββββ| 560/567 [20:08<00:15, 2.20s/it]
99%|ββββββββββ| 561/567 [20:09<00:10, 1.82s/it]
99%|ββββββββββ| 562/567 [20:12<00:11, 2.24s/it]
99%|ββββββββββ| 563/567 [20:15<00:08, 2.23s/it]
99%|ββββββββββ| 564/567 [20:18<00:07, 2.42s/it]
100%|ββββββββββ| 565/567 [20:19<00:04, 2.25s/it]
100%|ββββββββββ| 566/567 [20:22<00:02, 2.23s/it]
100%|ββββββββββ| 567/567 [20:22<00:00, 1.67s/it]
100%|ββββββββββ| 567/567 [20:22<00:00, 2.16s/it]
Batch output: ['Old Geng raised his rifle and, squinting one of his triangular eyes, squeezed the trigger. The golden sparrows fell like hail, the iron shot flying through the air, making a crackling sound as it struck the willow branches.', 'Next morning, before the dawn, Grannie Liu got up and dressed herself, and then taught Ban-er a few words of greeting. The little boy, who was only five or six years old, was delighted at the prospect of going into the city with her, and readily promised to behave himself.']
Qwen/Qwen2-7B-Instruct/checkpoint-105/rpp-1.00 metrics: {'meteor': 0.445196164290933, 'bleu_scores': {'bleu': 0.1544839843217579, 'precisions': [0.4808936931974663, 0.20677055346587855, 0.10820700470465237, 0.06194931773879142], 'brevity_penalty': 0.9614485375238944, 'length_ratio': 0.9621729049354091, 'translation_length': 29048, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4754415281679773, 'rouge2': 0.23020797142458238, 'rougeL': 0.4189634297307796, 'rougeLsum': 0.4185619121069658}, 'accuracy': 0.01412180052956752, 'correct_ids': [41, 77, 133, 193, 240, 272, 348, 364, 444, 533, 567, 658, 659, 778, 813, 893]}
(3) GPU = NVIDIA L40. Max memory = 44.309 GB.
43.668 GB of memory reserved.
Current Directory:
/common/home/users/d/dh.huang.2023/code/rapget-translation
Evaluating shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat
[nltk_data] Downloading package wordnet to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package wordnet is already up-to-date!
[nltk_data] Downloading package punkt to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package punkt is already up-to-date!
[nltk_data] Downloading package omw-1.4 to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package omw-1.4 is already up-to-date!
[nltk_data] Downloading package wordnet to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package wordnet is already up-to-date!
[nltk_data] Downloading package punkt to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package punkt is already up-to-date!
[nltk_data] Downloading package omw-1.4 to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package omw-1.4 is already up-to-date!
loading env vars from: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/.env
Adding /common/home/users/d/dh.huang.2023/common2/code/rapget-translation to sys.path
loading: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/eval_modules/calc_repetitions.py
loading /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/llm_toolkit/translation_utils.py
CUDA is available, we have found 1 GPU(s)
NVIDIA L40
CUDA version: 12.1
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat llama-factory/saves/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70 False datasets/mac/mac.tsv results/mac-results_fine_tuned.csv False 300 2
(0) GPU = NVIDIA L40. Max memory = 44.309 GB.
0.0 GB of memory reserved.
loading model: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat with adapter: llama-factory/saves/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70
Loading checkpoint shards: 0%| | 0/3 [00:00<?, ?it/s]
Loading checkpoint shards: 33%|ββββ | 1/3 [00:18<00:36, 18.30s/it]
Loading checkpoint shards: 67%|βββββββ | 2/3 [00:37<00:19, 19.01s/it]
Loading checkpoint shards: 100%|ββββββββββ| 3/3 [00:54<00:00, 17.89s/it]
Loading checkpoint shards: 100%|ββββββββββ| 3/3 [00:54<00:00, 18.12s/it]
(2) GPU = NVIDIA L40. Max memory = 44.309 GB.
13.744 GB of memory reserved.
loading train/test data files
DatasetDict({
train: Dataset({
features: ['chinese', 'english', 'text', 'prompt'],
num_rows: 4528
})
test: Dataset({
features: ['chinese', 'english', 'text', 'prompt'],
num_rows: 1133
})
})
--------------------------------------------------
chinese: θθΏη«―θ΅·ζͺοΌη―ηΌθ΅·δΈεͺδΈθ§ηΌοΌδΈζζ³ζΊεδΊζͺοΌε°ιΉθ¬ηιιΊ»ιεε©εͺε¦εΎδΈθ½οΌιη εε¨ζ³ζι΄ι£θΏΈηοΌεεζε£°γ
--------------------------------------------------
english: Old Geng picked up his shotgun, squinted, and pulled the trigger. Two sparrows crashed to the ground like hailstones as shotgun pellets tore noisily through the branches.
--------------------------------------------------
text: <s>You are a helpful assistant that translates Chinese to English. [INST] You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.
Chinese: θθΏη«―θ΅·ζͺοΌη―ηΌθ΅·δΈεͺδΈθ§ηΌοΌδΈζζ³ζΊεδΊζͺοΌε°ιΉθ¬ηιιΊ»ιεε©εͺε¦εΎδΈθ½οΌιη εε¨ζ³ζι΄ι£θΏΈηοΌεεζε£°γ
English: [/INST]Old Geng picked up his shotgun, squinted, and pulled the trigger. Two sparrows crashed to the ground like hailstones as shotgun pellets tore noisily through the branches.</s>
--------------------------------------------------
prompt: <s>You are a helpful assistant that translates Chinese to English. [INST] You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.
Chinese: θθΏη«―θ΅·ζͺοΌη―ηΌθ΅·δΈεͺδΈθ§ηΌοΌδΈζζ³ζΊεδΊζͺοΌε°ιΉθ¬ηιιΊ»ιεε©εͺε¦εΎδΈθ½οΌιη εε¨ζ³ζι΄ι£θΏΈηοΌεεζε£°γ
English: [/INST]
--------------------------------------------------
chinese: ε―ΉζδΈε»δΉδΈθ½ζΎζΎγ
--------------------------------------------------
english: People shouldn't let up on me for a minute.
--------------------------------------------------
text: <s>You are a helpful assistant that translates Chinese to English. [INST] You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.
Chinese: ε―ΉζδΈε»δΉδΈθ½ζΎζΎγ
English: [/INST]People shouldn't let up on me for a minute.</s>
--------------------------------------------------
prompt: <s>You are a helpful assistant that translates Chinese to English. [INST] You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.
Chinese: ε―ΉζδΈε»δΉδΈθ½ζΎζΎγ
English: [/INST]
Evaluating model: shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70 on cuda
*** Evaluating with repetition_penalty: 1.0
0%| | 0/567 [00:00<?, ?it/s]
0%| | 1/567 [00:03<36:45, 3.90s/it]
0%| | 2/567 [00:07<35:39, 3.79s/it]
1%| | 3/567 [00:09<28:08, 2.99s/it]
1%| | 4/567 [00:15<38:51, 4.14s/it]
1%| | 5/567 [00:16<27:23, 2.92s/it]
1%| | 6/567 [00:18<25:56, 2.78s/it]
1%| | 7/567 [00:19<19:38, 2.10s/it]
1%|β | 8/567 [00:22<20:48, 2.23s/it]
2%|β | 9/567 [00:24<22:38, 2.43s/it]
2%|β | 10/567 [00:26<18:43, 2.02s/it]
2%|β | 11/567 [00:28<19:22, 2.09s/it]
2%|β | 12/567 [00:30<18:38, 2.02s/it]
2%|β | 13/567 [00:32<20:29, 2.22s/it]
2%|β | 14/567 [00:33<17:10, 1.86s/it]
3%|β | 15/567 [00:34<13:59, 1.52s/it]
3%|β | 16/567 [00:37<17:13, 1.87s/it]
3%|β | 17/567 [00:42<27:06, 2.96s/it]
3%|β | 18/567 [00:44<22:34, 2.47s/it]
3%|β | 19/567 [00:44<18:15, 2.00s/it]
4%|β | 20/567 [00:46<16:59, 1.86s/it]
4%|β | 21/567 [00:49<19:38, 2.16s/it]
4%|β | 22/567 [00:51<18:14, 2.01s/it]
4%|β | 23/567 [00:53<18:59, 2.09s/it]
4%|β | 24/567 [00:54<16:45, 1.85s/it]
4%|β | 25/567 [00:55<13:32, 1.50s/it]
5%|β | 26/567 [00:57<14:23, 1.60s/it]
5%|β | 27/567 [00:58<13:56, 1.55s/it]
5%|β | 28/567 [01:04<25:35, 2.85s/it]
5%|β | 29/567 [01:06<23:28, 2.62s/it]
5%|β | 30/567 [01:08<22:27, 2.51s/it]
5%|β | 31/567 [01:09<18:00, 2.02s/it]
6%|β | 32/567 [01:12<19:08, 2.15s/it]
6%|β | 33/567 [01:13<17:43, 1.99s/it]
6%|β | 34/567 [01:16<21:10, 2.38s/it]
6%|β | 35/567 [01:19<21:22, 2.41s/it]
6%|β | 36/567 [01:20<16:35, 1.87s/it]
7%|β | 37/567 [01:20<13:15, 1.50s/it]
7%|β | 38/567 [01:21<12:02, 1.37s/it]
7%|β | 39/567 [01:23<13:24, 1.52s/it]
7%|β | 40/567 [01:25<14:51, 1.69s/it]
7%|β | 41/567 [01:26<11:47, 1.34s/it]
7%|β | 42/567 [01:28<15:05, 1.73s/it]
8%|β | 43/567 [01:29<12:33, 1.44s/it]
8%|β | 44/567 [01:31<13:08, 1.51s/it]
8%|β | 45/567 [01:32<12:40, 1.46s/it]
8%|β | 46/567 [01:33<11:06, 1.28s/it]
8%|β | 47/567 [01:35<12:33, 1.45s/it]
8%|β | 48/567 [01:38<15:38, 1.81s/it]
9%|β | 49/567 [01:38<12:55, 1.50s/it]
9%|β | 50/567 [01:40<14:15, 1.66s/it]
9%|β | 51/567 [01:44<18:57, 2.20s/it]
9%|β | 52/567 [01:45<15:05, 1.76s/it]
9%|β | 53/567 [01:58<45:55, 5.36s/it]
10%|β | 54/567 [02:01<39:47, 4.65s/it]
10%|β | 55/567 [02:05<37:49, 4.43s/it]
10%|β | 56/567 [02:10<39:29, 4.64s/it]
10%|β | 57/567 [02:16<41:11, 4.85s/it]
10%|β | 58/567 [02:17<30:59, 3.65s/it]
10%|β | 59/567 [02:19<27:54, 3.30s/it]
11%|β | 60/567 [02:20<23:11, 2.75s/it]
11%|β | 61/567 [02:22<19:23, 2.30s/it]
11%|β | 62/567 [02:23<17:48, 2.12s/it]
11%|β | 63/567 [02:26<17:49, 2.12s/it]
11%|ββ | 64/567 [02:31<25:20, 3.02s/it]
11%|ββ | 65/567 [02:32<20:37, 2.47s/it]
12%|ββ | 66/567 [02:35<21:58, 2.63s/it]
12%|ββ | 67/567 [02:36<17:31, 2.10s/it]
12%|ββ | 68/567 [02:42<27:31, 3.31s/it]
12%|ββ | 69/567 [02:43<22:42, 2.74s/it]
12%|ββ | 70/567 [02:45<20:04, 2.42s/it]
13%|ββ | 71/567 [02:46<16:16, 1.97s/it]
13%|ββ | 72/567 [02:48<16:28, 2.00s/it]
13%|ββ | 73/567 [02:49<13:31, 1.64s/it]
13%|ββ | 74/567 [02:50<13:07, 1.60s/it]
13%|ββ | 75/567 [02:51<11:32, 1.41s/it]
13%|ββ | 76/567 [02:54<14:17, 1.75s/it]
14%|ββ | 77/567 [02:55<14:06, 1.73s/it]
14%|ββ | 78/567 [02:58<15:06, 1.85s/it]
14%|ββ | 79/567 [03:00<16:21, 2.01s/it]
14%|ββ | 80/567 [03:01<13:18, 1.64s/it]
14%|ββ | 81/567 [03:01<10:41, 1.32s/it]
14%|ββ | 82/567 [03:03<12:05, 1.50s/it]
15%|ββ | 83/567 [03:05<12:40, 1.57s/it]
15%|ββ | 84/567 [03:06<11:51, 1.47s/it]
15%|ββ | 85/567 [03:07<10:15, 1.28s/it]
15%|ββ | 86/567 [03:08<08:26, 1.05s/it]
15%|ββ | 87/567 [03:08<08:05, 1.01s/it]
16%|ββ | 88/567 [03:10<08:53, 1.11s/it]
16%|ββ | 89/567 [03:15<17:53, 2.25s/it]
16%|ββ | 90/567 [03:17<18:22, 2.31s/it]
16%|ββ | 91/567 [03:21<22:12, 2.80s/it]
16%|ββ | 92/567 [03:22<18:24, 2.33s/it]
16%|ββ | 93/567 [03:23<14:48, 1.87s/it]
17%|ββ | 94/567 [03:27<18:20, 2.33s/it]
17%|ββ | 95/567 [03:28<15:38, 1.99s/it]
17%|ββ | 96/567 [03:30<15:26, 1.97s/it]
17%|ββ | 97/567 [03:31<13:38, 1.74s/it]
17%|ββ | 98/567 [03:31<10:57, 1.40s/it]
17%|ββ | 99/567 [03:33<10:14, 1.31s/it]
18%|ββ | 100/567 [03:38<18:46, 2.41s/it]
18%|ββ | 101/567 [03:39<15:45, 2.03s/it]
18%|ββ | 102/567 [03:42<19:33, 2.52s/it]
18%|ββ | 103/567 [03:43<15:46, 2.04s/it]
18%|ββ | 104/567 [03:46<16:55, 2.19s/it]
19%|ββ | 105/567 [03:52<25:52, 3.36s/it]
19%|ββ | 106/567 [03:55<24:33, 3.20s/it]
19%|ββ | 107/567 [03:56<19:34, 2.55s/it]
19%|ββ | 108/567 [04:02<27:14, 3.56s/it]
19%|ββ | 109/567 [04:02<19:48, 2.59s/it]
19%|ββ | 110/567 [04:03<15:55, 2.09s/it]
20%|ββ | 111/567 [04:06<17:36, 2.32s/it]
20%|ββ | 112/567 [04:09<18:40, 2.46s/it]
20%|ββ | 113/567 [04:12<21:31, 2.84s/it]
20%|ββ | 114/567 [04:14<17:44, 2.35s/it]
20%|ββ | 115/567 [04:17<20:25, 2.71s/it]
20%|ββ | 116/567 [04:19<18:09, 2.42s/it]
21%|ββ | 117/567 [04:21<16:32, 2.21s/it]
21%|ββ | 118/567 [04:23<17:42, 2.37s/it]
21%|ββ | 119/567 [04:27<21:51, 2.93s/it]
21%|ββ | 120/567 [04:30<19:55, 2.68s/it]
21%|βββ | 121/567 [04:30<15:38, 2.10s/it]
22%|βββ | 122/567 [04:32<13:37, 1.84s/it]
22%|βββ | 123/567 [04:33<12:38, 1.71s/it]
22%|βββ | 124/567 [04:35<12:38, 1.71s/it]
22%|βββ | 125/567 [04:36<11:57, 1.62s/it]
22%|βββ | 126/567 [04:38<11:37, 1.58s/it]
22%|βββ | 127/567 [04:41<15:50, 2.16s/it]
23%|βββ | 128/567 [04:44<17:35, 2.40s/it]
23%|βββ | 129/567 [04:47<18:19, 2.51s/it]
23%|βββ | 130/567 [04:55<29:35, 4.06s/it]
23%|βββ | 131/567 [04:59<30:28, 4.19s/it]
23%|βββ | 132/567 [05:06<37:05, 5.12s/it]
23%|βββ | 133/567 [05:14<42:57, 5.94s/it]
24%|βββ | 134/567 [05:24<50:28, 7.00s/it]
24%|βββ | 135/567 [05:25<38:08, 5.30s/it]
24%|βββ | 136/567 [05:27<30:19, 4.22s/it]
24%|βββ | 137/567 [05:28<23:26, 3.27s/it]
24%|βββ | 138/567 [05:28<17:43, 2.48s/it]
25%|βββ | 139/567 [05:30<16:26, 2.31s/it]
25%|βββ | 140/567 [05:31<14:07, 1.98s/it]
25%|βββ | 141/567 [05:34<14:38, 2.06s/it]
25%|βββ | 142/567 [05:35<12:50, 1.81s/it]
25%|βββ | 143/567 [05:36<10:48, 1.53s/it]
25%|βββ | 144/567 [05:38<12:17, 1.74s/it]
26%|βββ | 145/567 [05:39<11:02, 1.57s/it]
26%|βββ | 146/567 [05:42<12:45, 1.82s/it]
26%|βββ | 147/567 [05:47<20:04, 2.87s/it]
26%|βββ | 148/567 [05:49<19:18, 2.76s/it]
26%|βββ | 149/567 [05:50<15:29, 2.22s/it]
26%|βββ | 150/567 [05:51<11:56, 1.72s/it]
27%|βββ | 151/567 [05:52<09:38, 1.39s/it]
27%|βββ | 152/567 [05:54<11:05, 1.60s/it]
27%|βββ | 153/567 [05:56<12:40, 1.84s/it]
27%|βββ | 154/567 [05:57<10:56, 1.59s/it]
27%|βββ | 155/567 [05:58<09:31, 1.39s/it]
28%|βββ | 156/567 [06:00<09:49, 1.44s/it]
28%|βββ | 157/567 [06:01<09:15, 1.36s/it]
28%|βββ | 158/567 [06:06<16:48, 2.47s/it]
28%|βββ | 159/567 [06:07<13:50, 2.04s/it]
28%|βββ | 160/567 [06:11<18:05, 2.67s/it]
28%|βββ | 161/567 [06:12<14:08, 2.09s/it]
29%|βββ | 162/567 [06:13<12:11, 1.81s/it]
29%|βββ | 163/567 [06:14<10:26, 1.55s/it]
29%|βββ | 164/567 [06:19<17:00, 2.53s/it]
29%|βββ | 165/567 [06:21<16:19, 2.44s/it]
29%|βββ | 166/567 [06:22<14:06, 2.11s/it]
29%|βββ | 167/567 [06:27<19:31, 2.93s/it]
30%|βββ | 168/567 [06:29<16:40, 2.51s/it]
30%|βββ | 169/567 [06:31<15:55, 2.40s/it]
30%|βββ | 170/567 [06:33<15:49, 2.39s/it]
30%|βββ | 171/567 [06:35<15:19, 2.32s/it]
30%|βββ | 172/567 [06:38<15:17, 2.32s/it]
31%|βββ | 173/567 [06:39<14:01, 2.14s/it]
31%|βββ | 174/567 [06:41<12:44, 1.95s/it]
31%|βββ | 175/567 [06:43<13:12, 2.02s/it]
31%|βββ | 176/567 [06:44<11:06, 1.70s/it]
31%|βββ | 177/567 [06:47<13:06, 2.02s/it]
31%|ββββ | 178/567 [06:48<11:18, 1.74s/it]
32%|ββββ | 179/567 [06:50<12:13, 1.89s/it]
32%|ββββ | 180/567 [06:52<12:45, 1.98s/it]
32%|ββββ | 181/567 [06:54<12:17, 1.91s/it]
32%|ββββ | 182/567 [06:54<09:31, 1.48s/it]
32%|ββββ | 183/567 [06:55<07:51, 1.23s/it]
32%|ββββ | 184/567 [06:58<11:14, 1.76s/it]
33%|ββββ | 185/567 [06:59<09:52, 1.55s/it]
33%|ββββ | 186/567 [07:05<18:37, 2.93s/it]
33%|ββββ | 187/567 [07:07<16:57, 2.68s/it]
33%|ββββ | 188/567 [07:08<13:39, 2.16s/it]
33%|ββββ | 189/567 [07:09<11:31, 1.83s/it]
34%|ββββ | 190/567 [07:10<09:30, 1.51s/it]
34%|ββββ | 191/567 [07:14<13:47, 2.20s/it]
34%|ββββ | 192/567 [07:16<14:20, 2.30s/it]
34%|ββββ | 193/567 [07:26<27:34, 4.42s/it]
34%|ββββ | 194/567 [07:27<21:06, 3.39s/it]
34%|ββββ | 195/567 [07:28<17:03, 2.75s/it]
35%|ββββ | 196/567 [07:30<15:56, 2.58s/it]
35%|ββββ | 197/567 [07:35<19:12, 3.11s/it]
35%|ββββ | 198/567 [07:40<22:55, 3.73s/it]
35%|ββββ | 199/567 [07:42<20:29, 3.34s/it]
35%|ββββ | 200/567 [07:44<17:39, 2.89s/it]
35%|ββββ | 201/567 [07:45<13:50, 2.27s/it]
36%|ββββ | 202/567 [07:46<11:49, 1.94s/it]
36%|ββββ | 203/567 [07:47<10:01, 1.65s/it]
36%|ββββ | 204/567 [07:48<08:56, 1.48s/it]
36%|ββββ | 205/567 [07:50<09:16, 1.54s/it]
36%|ββββ | 206/567 [07:53<12:02, 2.00s/it]
37%|ββββ | 207/567 [07:54<10:30, 1.75s/it]
37%|ββββ | 208/567 [07:57<12:54, 2.16s/it]
37%|ββββ | 209/567 [07:58<10:44, 1.80s/it]
37%|ββββ | 210/567 [08:01<11:56, 2.01s/it]
37%|ββββ | 211/567 [08:03<12:06, 2.04s/it]
37%|ββββ | 212/567 [08:05<12:31, 2.12s/it]
38%|ββββ | 213/567 [08:08<13:37, 2.31s/it]
38%|ββββ | 214/567 [08:09<12:00, 2.04s/it]
38%|ββββ | 215/567 [08:10<10:26, 1.78s/it]
38%|ββββ | 216/567 [08:12<10:17, 1.76s/it]
38%|ββββ | 217/567 [08:15<12:00, 2.06s/it]
38%|ββββ | 218/567 [08:18<13:37, 2.34s/it]
39%|ββββ | 219/567 [08:20<13:15, 2.29s/it]
39%|ββββ | 220/567 [08:22<11:59, 2.07s/it]
39%|ββββ | 221/567 [08:23<10:03, 1.74s/it]
39%|ββββ | 222/567 [08:24<09:08, 1.59s/it]
39%|ββββ | 223/567 [08:25<07:42, 1.35s/it]
40%|ββββ | 224/567 [08:26<08:11, 1.43s/it]
40%|ββββ | 225/567 [08:29<10:08, 1.78s/it]
40%|ββββ | 226/567 [08:31<11:13, 1.98s/it]
40%|ββββ | 227/567 [08:32<09:19, 1.65s/it]
40%|ββββ | 228/567 [08:34<09:50, 1.74s/it]
40%|ββββ | 229/567 [08:36<10:11, 1.81s/it]
41%|ββββ | 230/567 [08:37<08:50, 1.57s/it]
41%|ββββ | 231/567 [08:40<11:31, 2.06s/it]
41%|ββββ | 232/567 [08:42<10:51, 1.95s/it]
41%|ββββ | 233/567 [08:47<15:32, 2.79s/it]
41%|βββββ | 234/567 [08:47<11:54, 2.14s/it]
41%|βββββ | 235/567 [08:50<12:53, 2.33s/it]
42%|βββββ | 236/567 [08:53<13:32, 2.45s/it]
42%|βββββ | 237/567 [08:54<10:53, 1.98s/it]
42%|βββββ | 238/567 [08:55<09:39, 1.76s/it]
42%|βββββ | 239/567 [08:57<09:27, 1.73s/it]
42%|βββββ | 240/567 [09:03<17:18, 3.17s/it]
43%|βββββ | 241/567 [09:04<14:13, 2.62s/it]
43%|βββββ | 242/567 [09:06<12:17, 2.27s/it]
43%|βββββ | 243/567 [09:08<12:44, 2.36s/it]
43%|βββββ | 244/567 [09:12<13:51, 2.58s/it]
43%|βββββ | 245/567 [09:12<10:49, 2.02s/it]
43%|βββββ | 246/567 [09:14<10:48, 2.02s/it]
44%|βββββ | 247/567 [09:15<08:55, 1.67s/it]
44%|βββββ | 248/567 [09:17<09:46, 1.84s/it]
44%|βββββ | 249/567 [09:19<08:48, 1.66s/it]
44%|βββββ | 250/567 [09:22<12:02, 2.28s/it]
44%|βββββ | 251/567 [09:28<17:07, 3.25s/it]
44%|βββββ | 252/567 [09:56<55:48, 10.63s/it]
45%|βββββ | 253/567 [09:57<40:27, 7.73s/it]
45%|βββββ | 254/567 [10:05<41:08, 7.89s/it]
45%|βββββ | 255/567 [10:07<31:59, 6.15s/it]
45%|βββββ | 256/567 [10:08<23:35, 4.55s/it]
45%|βββββ | 257/567 [10:12<23:03, 4.46s/it]
46%|βββββ | 258/567 [10:14<19:18, 3.75s/it]
46%|βββββ | 259/567 [10:15<15:01, 2.93s/it]
46%|βββββ | 260/567 [10:22<21:06, 4.12s/it]
46%|βββββ | 261/567 [10:24<18:11, 3.57s/it]
46%|βββββ | 262/567 [10:27<16:43, 3.29s/it]
46%|βββββ | 263/567 [10:28<13:25, 2.65s/it]
47%|βββββ | 264/567 [10:29<10:05, 2.00s/it]
47%|βββββ | 265/567 [10:33<13:22, 2.66s/it]
47%|βββββ | 266/567 [10:34<11:00, 2.20s/it]
47%|βββββ | 267/567 [10:35<09:33, 1.91s/it]
47%|βββββ | 268/567 [10:40<13:08, 2.64s/it]
47%|βββββ | 269/567 [10:42<13:11, 2.66s/it]
48%|βββββ | 270/567 [10:44<11:10, 2.26s/it]
48%|βββββ | 271/567 [10:47<12:23, 2.51s/it]
48%|βββββ | 272/567 [10:48<11:14, 2.29s/it]
48%|βββββ | 273/567 [10:50<10:23, 2.12s/it]
48%|βββββ | 274/567 [10:52<09:29, 1.94s/it]
49%|βββββ | 275/567 [10:53<08:37, 1.77s/it]
49%|βββββ | 276/567 [10:56<09:58, 2.06s/it]
49%|βββββ | 277/567 [10:58<10:06, 2.09s/it]
49%|βββββ | 278/567 [10:59<07:59, 1.66s/it]
49%|βββββ | 279/567 [11:03<11:49, 2.46s/it]
49%|βββββ | 280/567 [11:06<12:22, 2.59s/it]
50%|βββββ | 281/567 [11:07<10:08, 2.13s/it]
50%|βββββ | 282/567 [11:08<08:57, 1.89s/it]
50%|βββββ | 283/567 [11:12<11:11, 2.36s/it]
50%|βββββ | 284/567 [11:13<09:30, 2.01s/it]
50%|βββββ | 285/567 [11:14<08:23, 1.79s/it]
50%|βββββ | 286/567 [11:15<07:16, 1.55s/it]
51%|βββββ | 287/567 [11:18<08:48, 1.89s/it]
51%|βββββ | 288/567 [11:21<10:10, 2.19s/it]
51%|βββββ | 289/567 [11:23<10:38, 2.30s/it]
51%|βββββ | 290/567 [11:25<10:21, 2.24s/it]
51%|ββββββ | 291/567 [11:28<10:20, 2.25s/it]
51%|ββββββ | 292/567 [11:31<11:17, 2.46s/it]
52%|ββββββ | 293/567 [11:32<09:42, 2.13s/it]
52%|ββββββ | 294/567 [11:33<08:16, 1.82s/it]
52%|ββββββ | 295/567 [11:35<08:03, 1.78s/it]
52%|ββββββ | 296/567 [11:38<10:24, 2.31s/it]
52%|ββββββ | 297/567 [11:39<08:53, 1.97s/it]
53%|ββββββ | 298/567 [11:47<16:25, 3.66s/it]
53%|ββββββ | 299/567 [11:48<13:01, 2.92s/it]
53%|ββββββ | 300/567 [11:51<12:10, 2.73s/it]
53%|ββββββ | 301/567 [11:53<11:44, 2.65s/it]
53%|ββββββ | 302/567 [11:55<10:52, 2.46s/it]
53%|ββββββ | 303/567 [11:56<09:22, 2.13s/it]
54%|ββββββ | 304/567 [11:58<08:12, 1.87s/it]
54%|ββββββ | 305/567 [11:59<07:47, 1.79s/it]
54%|ββββββ | 306/567 [12:02<08:33, 1.97s/it]
54%|ββββββ | 307/567 [12:06<11:56, 2.76s/it]
54%|ββββββ | 308/567 [12:08<09:56, 2.30s/it]
54%|ββββββ | 309/567 [12:08<08:04, 1.88s/it]
55%|ββββββ | 310/567 [12:20<20:35, 4.81s/it]
55%|ββββββ | 311/567 [12:23<18:17, 4.29s/it]
55%|ββββββ | 312/567 [12:24<14:25, 3.39s/it]
55%|ββββββ | 313/567 [12:25<11:09, 2.64s/it]
55%|ββββββ | 314/567 [12:28<10:35, 2.51s/it]
56%|ββββββ | 315/567 [12:31<12:11, 2.90s/it]
56%|ββββββ | 316/567 [12:32<09:38, 2.31s/it]
56%|ββββββ | 317/567 [12:35<09:43, 2.33s/it]
56%|ββββββ | 318/567 [12:36<07:54, 1.91s/it]
56%|ββββββ | 319/567 [12:39<09:13, 2.23s/it]
56%|ββββββ | 320/567 [12:39<06:58, 1.69s/it]
57%|ββββββ | 321/567 [12:43<09:34, 2.34s/it]
57%|ββββββ | 322/567 [12:45<09:20, 2.29s/it]
57%|ββββββ | 323/567 [12:47<09:14, 2.27s/it]
57%|ββββββ | 324/567 [12:49<09:01, 2.23s/it]
57%|ββββββ | 325/567 [12:57<16:08, 4.00s/it]
57%|ββββββ | 326/567 [12:58<12:17, 3.06s/it]
58%|ββββββ | 327/567 [12:59<09:29, 2.37s/it]
58%|ββββββ | 328/567 [13:01<08:33, 2.15s/it]
58%|ββββββ | 329/567 [13:05<11:24, 2.88s/it]
58%|ββββββ | 330/567 [13:06<08:31, 2.16s/it]
58%|ββββββ | 331/567 [13:07<07:38, 1.94s/it]
59%|ββββββ | 332/567 [13:09<07:02, 1.80s/it]
59%|ββββββ | 333/567 [13:11<07:29, 1.92s/it]
59%|ββββββ | 334/567 [13:12<06:42, 1.73s/it]
59%|ββββββ | 335/567 [13:14<06:49, 1.76s/it]
59%|ββββββ | 336/567 [13:15<05:45, 1.50s/it]
59%|ββββββ | 337/567 [13:18<07:41, 2.01s/it]
60%|ββββββ | 338/567 [13:19<06:37, 1.74s/it]
60%|ββββββ | 339/567 [13:20<05:49, 1.53s/it]
60%|ββββββ | 340/567 [13:21<04:52, 1.29s/it]
60%|ββββββ | 341/567 [13:23<05:41, 1.51s/it]
60%|ββββββ | 342/567 [13:25<05:55, 1.58s/it]
60%|ββββββ | 343/567 [13:26<05:25, 1.45s/it]
61%|ββββββ | 344/567 [13:27<05:06, 1.38s/it]
61%|ββββββ | 345/567 [13:29<05:30, 1.49s/it]
61%|ββββββ | 346/567 [13:30<05:35, 1.52s/it]
61%|ββββββ | 347/567 [13:32<06:03, 1.65s/it]
61%|βββββββ | 348/567 [13:34<06:30, 1.78s/it]
62%|βββββββ | 349/567 [13:39<09:24, 2.59s/it]
62%|βββββββ | 350/567 [13:41<08:56, 2.47s/it]
62%|βββββββ | 351/567 [13:53<18:46, 5.22s/it]
62%|βββββββ | 352/567 [13:54<14:49, 4.14s/it]
62%|βββββββ | 353/567 [13:59<15:14, 4.27s/it]
62%|βββββββ | 354/567 [14:01<12:24, 3.49s/it]
63%|βββββββ | 355/567 [14:03<10:36, 3.00s/it]
63%|βββββββ | 356/567 [14:05<10:22, 2.95s/it]
63%|βββββββ | 357/567 [14:06<08:24, 2.40s/it]
63%|βββββββ | 358/567 [14:08<07:10, 2.06s/it]
63%|βββββββ | 359/567 [14:09<06:15, 1.80s/it]
63%|βββββββ | 360/567 [14:10<05:22, 1.56s/it]
64%|βββββββ | 361/567 [14:11<05:00, 1.46s/it]
64%|βββββββ | 362/567 [14:14<06:51, 2.01s/it]
64%|βββββββ | 363/567 [14:18<08:40, 2.55s/it]
64%|βββββββ | 364/567 [14:24<12:19, 3.64s/it]
64%|βββββββ | 365/567 [14:26<10:25, 3.10s/it]
65%|βββββββ | 366/567 [14:27<08:29, 2.54s/it]
65%|βββββββ | 367/567 [14:30<08:24, 2.52s/it]
65%|βββββββ | 368/567 [14:34<09:45, 2.94s/it]
65%|βββββββ | 369/567 [14:37<09:35, 2.91s/it]
65%|βββββββ | 370/567 [14:38<07:59, 2.44s/it]
65%|βββββββ | 371/567 [14:40<07:02, 2.16s/it]
66%|βββββββ | 372/567 [14:41<06:13, 1.91s/it]
66%|βββββββ | 373/567 [14:44<07:34, 2.34s/it]
66%|βββββββ | 374/567 [14:48<09:20, 2.90s/it]
66%|βββββββ | 375/567 [14:51<09:09, 2.86s/it]
66%|βββββββ | 376/567 [14:52<07:18, 2.29s/it]
66%|βββββββ | 377/567 [14:59<11:38, 3.68s/it]
67%|βββββββ | 378/567 [15:01<09:43, 3.09s/it]
67%|βββββββ | 379/567 [15:04<09:41, 3.09s/it]
67%|βββββββ | 380/567 [15:05<07:55, 2.54s/it]
67%|βββββββ | 381/567 [15:07<07:20, 2.37s/it]
67%|βββββββ | 382/567 [15:09<06:43, 2.18s/it]
68%|βββββββ | 383/567 [15:14<09:08, 2.98s/it]
68%|βββββββ | 384/567 [15:19<10:44, 3.52s/it]
68%|βββββββ | 385/567 [15:22<10:55, 3.60s/it]
68%|βββββββ | 386/567 [15:26<10:34, 3.50s/it]
68%|βββββββ | 387/567 [15:27<08:59, 3.00s/it]
68%|βββββββ | 388/567 [15:37<14:55, 5.00s/it]
69%|βββββββ | 389/567 [15:39<12:02, 4.06s/it]
69%|βββββββ | 390/567 [15:40<08:56, 3.03s/it]
69%|βββββββ | 391/567 [15:41<07:16, 2.48s/it]
69%|βββββββ | 392/567 [15:44<07:42, 2.64s/it]
69%|βββββββ | 393/567 [15:45<06:16, 2.17s/it]
69%|βββββββ | 394/567 [15:48<06:41, 2.32s/it]
70%|βββββββ | 395/567 [15:52<08:39, 3.02s/it]
70%|βββββββ | 396/567 [15:54<07:45, 2.72s/it]
70%|βββββββ | 397/567 [15:59<09:45, 3.44s/it]
70%|βββββββ | 398/567 [16:00<07:16, 2.58s/it]
70%|βββββββ | 399/567 [16:01<05:44, 2.05s/it]
71%|βββββββ | 400/567 [16:02<04:46, 1.72s/it]
71%|βββββββ | 401/567 [16:04<04:52, 1.76s/it]
71%|βββββββ | 402/567 [16:07<06:01, 2.19s/it]
71%|βββββββ | 403/567 [16:09<05:55, 2.17s/it]
71%|ββββββββ | 404/567 [16:10<04:50, 1.78s/it]
71%|ββββββββ | 405/567 [16:10<03:52, 1.43s/it]
72%|ββββββββ | 406/567 [16:12<03:41, 1.37s/it]
72%|ββββββββ | 407/567 [16:13<03:24, 1.28s/it]
72%|ββββββββ | 408/567 [16:17<06:02, 2.28s/it]
72%|ββββββββ | 409/567 [16:18<05:06, 1.94s/it]
72%|ββββββββ | 410/567 [16:20<04:52, 1.87s/it]
72%|ββββββββ | 411/567 [16:21<04:02, 1.55s/it]
73%|ββββββββ | 412/567 [16:23<04:46, 1.85s/it]
73%|ββββββββ | 413/567 [16:26<05:23, 2.10s/it]
73%|ββββββββ | 414/567 [16:27<04:19, 1.70s/it]
73%|ββββββββ | 415/567 [16:33<07:22, 2.91s/it]
73%|ββββββββ | 416/567 [16:34<06:27, 2.56s/it]
74%|ββββββββ | 417/567 [16:42<09:56, 3.98s/it]
74%|ββββββββ | 418/567 [16:45<09:03, 3.65s/it]
74%|ββββββββ | 419/567 [16:52<11:28, 4.65s/it]
74%|ββββββββ | 420/567 [16:54<09:36, 3.92s/it]
74%|ββββββββ | 421/567 [16:56<08:33, 3.52s/it]
74%|ββββββββ | 422/567 [16:58<07:14, 3.00s/it]
75%|ββββββββ | 423/567 [17:00<06:23, 2.66s/it]
75%|ββββββββ | 424/567 [17:02<05:45, 2.42s/it]
75%|ββββββββ | 425/567 [17:04<05:51, 2.48s/it]
75%|ββββββββ | 426/567 [17:06<05:03, 2.15s/it]
75%|ββββββββ | 427/567 [17:08<04:41, 2.01s/it]
75%|ββββββββ | 428/567 [17:11<05:30, 2.38s/it]
76%|ββββββββ | 429/567 [17:15<06:26, 2.80s/it]
76%|ββββββββ | 430/567 [17:16<05:49, 2.55s/it]
76%|ββββββββ | 431/567 [17:22<07:27, 3.29s/it]
76%|ββββββββ | 432/567 [17:26<08:25, 3.74s/it]
76%|ββββββββ | 433/567 [17:29<07:22, 3.31s/it]
77%|ββββββββ | 434/567 [17:32<07:07, 3.21s/it]
77%|ββββββββ | 435/567 [17:33<05:40, 2.58s/it]
77%|ββββββββ | 436/567 [17:35<05:13, 2.40s/it]
77%|ββββββββ | 437/567 [17:36<04:21, 2.01s/it]
77%|ββββββββ | 438/567 [17:40<05:47, 2.69s/it]
77%|ββββββββ | 439/567 [17:42<05:12, 2.44s/it]
78%|ββββββββ | 440/567 [17:43<04:04, 1.92s/it]
78%|ββββββββ | 441/567 [17:45<04:29, 2.14s/it]
78%|ββββββββ | 442/567 [17:47<03:54, 1.87s/it]
78%|ββββββββ | 443/567 [17:48<03:34, 1.73s/it]
78%|ββββββββ | 444/567 [17:53<05:52, 2.87s/it]
78%|ββββββββ | 445/567 [17:55<05:14, 2.57s/it]
79%|ββββββββ | 446/567 [17:59<05:37, 2.79s/it]
79%|ββββββββ | 447/567 [18:01<05:33, 2.78s/it]
79%|ββββββββ | 448/567 [18:03<04:55, 2.49s/it]
79%|ββββββββ | 449/567 [18:04<03:56, 2.01s/it]
79%|ββββββββ | 450/567 [18:06<03:43, 1.91s/it]
80%|ββββββββ | 451/567 [18:07<03:17, 1.70s/it]
80%|ββββββββ | 452/567 [18:09<03:26, 1.80s/it]
80%|ββββββββ | 453/567 [18:12<03:56, 2.07s/it]
80%|ββββββββ | 454/567 [18:13<03:28, 1.84s/it]
80%|ββββββββ | 455/567 [18:14<02:59, 1.61s/it]
80%|ββββββββ | 456/567 [18:15<02:33, 1.38s/it]
81%|ββββββββ | 457/567 [18:16<02:31, 1.38s/it]
81%|ββββββββ | 458/567 [18:19<03:07, 1.72s/it]
81%|ββββββββ | 459/567 [18:22<04:02, 2.24s/it]
81%|ββββββββ | 460/567 [18:23<03:09, 1.77s/it]
81%|βββββββββ | 461/567 [18:24<02:42, 1.54s/it]
81%|βββββββββ | 462/567 [18:25<02:32, 1.45s/it]
82%|βββββββββ | 463/567 [18:26<02:18, 1.33s/it]
82%|βββββββββ | 464/567 [18:27<02:13, 1.29s/it]
82%|βββββββββ | 465/567 [18:30<02:43, 1.60s/it]
82%|βββββββββ | 466/567 [18:32<02:58, 1.77s/it]
82%|βββββββββ | 467/567 [18:33<02:25, 1.46s/it]
83%|βββββββββ | 468/567 [18:35<02:47, 1.69s/it]
83%|βββββββββ | 469/567 [18:36<02:36, 1.59s/it]
83%|βββββββββ | 470/567 [18:39<02:55, 1.81s/it]
83%|βββββββββ | 471/567 [18:42<03:33, 2.23s/it]
83%|βββββββββ | 472/567 [18:46<04:33, 2.88s/it]
83%|βββββββββ | 473/567 [18:49<04:27, 2.85s/it]
84%|βββββββββ | 474/567 [18:52<04:25, 2.86s/it]
84%|βββββββββ | 475/567 [18:52<03:22, 2.20s/it]
84%|βββββββββ | 476/567 [18:54<02:48, 1.85s/it]
84%|βββββββββ | 477/567 [18:54<02:11, 1.46s/it]
84%|βββββββββ | 478/567 [18:55<02:09, 1.45s/it]
84%|βββββββββ | 479/567 [18:56<01:49, 1.25s/it]
85%|βββββββββ | 480/567 [18:58<01:54, 1.31s/it]
85%|βββββββββ | 481/567 [19:02<03:21, 2.34s/it]
85%|βββββββββ | 482/567 [19:04<02:59, 2.11s/it]
85%|βββββββββ | 483/567 [19:05<02:33, 1.82s/it]
85%|βββββββββ | 484/567 [19:09<03:31, 2.54s/it]
86%|βββββββββ | 485/567 [19:10<02:50, 2.08s/it]
86%|βββββββββ | 486/567 [19:12<02:43, 2.02s/it]
86%|βββββββββ | 487/567 [19:18<04:06, 3.08s/it]
86%|βββββββββ | 488/567 [19:19<03:07, 2.37s/it]
86%|βββββββββ | 489/567 [19:20<02:51, 2.20s/it]
86%|βββββββββ | 490/567 [19:26<04:16, 3.33s/it]
87%|βββββββββ | 491/567 [19:28<03:37, 2.86s/it]
87%|βββββββββ | 492/567 [19:29<02:49, 2.26s/it]
87%|βββββββββ | 493/567 [19:32<03:10, 2.58s/it]
87%|βββββββββ | 494/567 [19:34<02:50, 2.34s/it]
87%|βββββββββ | 495/567 [19:43<05:21, 4.46s/it]
87%|βββββββββ | 496/567 [19:44<04:02, 3.41s/it]
88%|βββββββββ | 497/567 [19:48<03:51, 3.31s/it]
88%|βββββββββ | 498/567 [19:50<03:27, 3.00s/it]
88%|βββββββββ | 499/567 [19:51<02:54, 2.57s/it]
88%|βββββββββ | 500/567 [19:56<03:34, 3.20s/it]
88%|βββββββββ | 501/567 [19:57<02:48, 2.56s/it]
89%|βββββββββ | 502/567 [20:00<02:59, 2.76s/it]
89%|βββββββββ | 503/567 [20:07<04:18, 4.04s/it]
89%|βββββββββ | 504/567 [20:10<03:42, 3.53s/it]
89%|βββββββββ | 505/567 [20:12<03:16, 3.18s/it]
89%|βββββββββ | 506/567 [20:16<03:21, 3.30s/it]
89%|βββββββββ | 507/567 [20:16<02:34, 2.57s/it]
90%|βββββββββ | 508/567 [20:19<02:29, 2.54s/it]
90%|βββββββββ | 509/567 [20:20<02:06, 2.18s/it]
90%|βββββββββ | 510/567 [20:23<02:15, 2.37s/it]
90%|βββββββββ | 511/567 [20:24<01:54, 2.05s/it]
90%|βββββββββ | 512/567 [20:28<02:13, 2.43s/it]
90%|βββββββββ | 513/567 [20:31<02:29, 2.77s/it]
91%|βββββββββ | 514/567 [20:32<01:55, 2.17s/it]
91%|βββββββββ | 515/567 [20:34<01:50, 2.12s/it]
91%|βββββββββ | 516/567 [20:36<01:39, 1.96s/it]
91%|βββββββββ | 517/567 [20:38<01:43, 2.06s/it]
91%|ββββββββββ| 518/567 [20:39<01:27, 1.79s/it]
92%|ββββββββββ| 519/567 [20:41<01:26, 1.80s/it]
92%|ββββββββββ| 520/567 [20:42<01:20, 1.71s/it]
92%|ββββββββββ| 521/567 [20:44<01:16, 1.66s/it]
92%|ββββββββββ| 522/567 [20:47<01:38, 2.18s/it]
92%|ββββββββββ| 523/567 [20:50<01:43, 2.34s/it]
92%|ββββββββββ| 524/567 [20:52<01:34, 2.19s/it]
93%|ββββββββββ| 525/567 [20:54<01:29, 2.14s/it]
93%|ββββββββββ| 526/567 [20:55<01:13, 1.80s/it]
93%|ββββββββββ| 527/567 [20:57<01:16, 1.92s/it]
93%|ββββββββββ| 528/567 [20:58<01:05, 1.69s/it]
93%|ββββββββββ| 529/567 [20:59<00:58, 1.53s/it]
93%|ββββββββββ| 530/567 [21:03<01:13, 1.98s/it]
94%|ββββββββββ| 531/567 [21:04<01:05, 1.83s/it]
94%|ββββββββββ| 532/567 [21:06<01:03, 1.81s/it]
94%|ββββββββββ| 533/567 [21:07<00:52, 1.56s/it]
94%|ββββββββββ| 534/567 [21:08<00:47, 1.45s/it]
94%|ββββββββββ| 535/567 [21:10<00:51, 1.61s/it]
95%|ββββββββββ| 536/567 [21:12<00:51, 1.67s/it]
95%|ββββββββββ| 537/567 [21:14<00:53, 1.80s/it]
95%|ββββββββββ| 538/567 [21:15<00:47, 1.65s/it]
95%|ββββββββββ| 539/567 [21:23<01:38, 3.51s/it]
95%|ββββββββββ| 540/567 [21:26<01:34, 3.49s/it]
95%|ββββββββββ| 541/567 [21:30<01:31, 3.52s/it]
96%|ββββββββββ| 542/567 [21:33<01:24, 3.39s/it]
96%|ββββββββββ| 543/567 [21:41<01:54, 4.78s/it]
96%|ββββββββββ| 544/567 [21:42<01:19, 3.47s/it]
96%|ββββββββββ| 545/567 [21:44<01:10, 3.19s/it]
96%|ββββββββββ| 546/567 [21:45<00:54, 2.62s/it]
96%|ββββββββββ| 547/567 [21:46<00:41, 2.07s/it]
97%|ββββββββββ| 548/567 [21:48<00:36, 1.90s/it]
97%|ββββββββββ| 549/567 [21:49<00:30, 1.68s/it]
97%|ββββββββββ| 550/567 [21:50<00:26, 1.54s/it]
97%|ββββββββββ| 551/567 [21:51<00:24, 1.51s/it]
97%|ββββββββββ| 552/567 [21:55<00:30, 2.05s/it]
98%|ββββββββββ| 553/567 [21:56<00:26, 1.92s/it]
98%|ββββββββββ| 554/567 [21:57<00:21, 1.66s/it]
98%|ββββββββββ| 555/567 [21:59<00:18, 1.52s/it]
98%|ββββββββββ| 556/567 [22:00<00:14, 1.33s/it]
98%|ββββββββββ| 557/567 [22:04<00:21, 2.18s/it]
98%|ββββββββββ| 558/567 [22:06<00:19, 2.11s/it]
99%|ββββββββββ| 559/567 [22:09<00:19, 2.43s/it]
99%|ββββββββββ| 560/567 [22:12<00:18, 2.60s/it]
99%|ββββββββββ| 561/567 [22:13<00:13, 2.17s/it]
99%|ββββββββββ| 562/567 [22:16<00:12, 2.51s/it]
99%|ββββββββββ| 563/567 [22:18<00:08, 2.22s/it]
99%|ββββββββββ| 564/567 [22:22<00:08, 2.75s/it]
100%|ββββββββββ| 565/567 [22:23<00:04, 2.35s/it]
100%|ββββββββββ| 566/567 [22:25<00:02, 2.17s/it]
100%|ββββββββββ| 567/567 [22:25<00:00, 1.66s/it]
100%|ββββββββββ| 567/567 [22:25<00:00, 2.37s/it]
Batch output: ['Old Geng raised his shotgun, squinting through the barrel, and fired. The bullets flew like hail, tearing through the air with a loud crackling sound.', 'The next morning, before daybreak, Grannie Liu got up, combed her hair, and taught Ban-er a few words. The five- or six-year-old child was delighted to hear that she was to be taken into the city to see it.']
shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-70/rpp-1.00 metrics: {'meteor': 0.40635880330283336, 'bleu_scores': {'bleu': 0.13545947510370177, 'precisions': [0.4701248021205316, 0.1955051863234729, 0.10004819664230058, 0.05718012370092986], 'brevity_penalty': 0.8945465352387649, 'length_ratio': 0.8997350115932428, 'translation_length': 27163, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.441070929371594, 'rouge2': 0.20796066364350016, 'rougeL': 0.3867387800369278, 'rougeLsum': 0.386631950777718}, 'accuracy': 0.01147396293027361, 'correct_ids': [77, 170, 193, 199, 240, 348, 364, 413, 501, 659, 712, 893, 1011]}
(3) GPU = NVIDIA L40. Max memory = 44.309 GB.
16.354 GB of memory reserved.
Current Directory:
/common/home/users/d/dh.huang.2023/code/rapget-translation
Evaluating shenzhi-wang/Llama3.1-8B-Chinese-Chat
[nltk_data] Downloading package wordnet to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package wordnet is already up-to-date!
[nltk_data] Downloading package punkt to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package punkt is already up-to-date!
[nltk_data] Downloading package omw-1.4 to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package omw-1.4 is already up-to-date!
[nltk_data] Downloading package wordnet to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package wordnet is already up-to-date!
[nltk_data] Downloading package punkt to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package punkt is already up-to-date!
[nltk_data] Downloading package omw-1.4 to
[nltk_data] /common/home/users/d/dh.huang.2023/nltk_data...
[nltk_data] Package omw-1.4 is already up-to-date!
loading env vars from: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/.env
Adding /common/home/users/d/dh.huang.2023/common2/code/rapget-translation to sys.path
loading: /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/eval_modules/calc_repetitions.py
loading /common/home/users/d/dh.huang.2023/common2/code/rapget-translation/llm_toolkit/translation_utils.py
CUDA is available, we have found 1 GPU(s)
NVIDIA L40
CUDA version: 12.1
shenzhi-wang/Llama3.1-8B-Chinese-Chat llama-factory/saves/Llama3.1-8B-Chinese-Chat/checkpoint-105 False datasets/mac/mac.tsv results/mac-results_fine_tuned.csv False 300 2
(0) GPU = NVIDIA L40. Max memory = 44.309 GB.
0.0 GB of memory reserved.
loading model: shenzhi-wang/Llama3.1-8B-Chinese-Chat with adapter: llama-factory/saves/Llama3.1-8B-Chinese-Chat/checkpoint-105
Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]
Loading checkpoint shards: 25%|βββ | 1/4 [00:15<00:46, 15.64s/it]
Loading checkpoint shards: 50%|βββββ | 2/4 [00:34<00:35, 17.62s/it]
Loading checkpoint shards: 75%|ββββββββ | 3/4 [00:53<00:17, 17.96s/it]
Loading checkpoint shards: 100%|ββββββββββ| 4/4 [00:54<00:00, 11.54s/it]
Loading checkpoint shards: 100%|ββββββββββ| 4/4 [00:54<00:00, 13.68s/it]
(2) GPU = NVIDIA L40. Max memory = 44.309 GB.
15.201 GB of memory reserved.
loading train/test data files
DatasetDict({
train: Dataset({
features: ['chinese', 'english', 'text', 'prompt'],
num_rows: 4528
})
test: Dataset({
features: ['chinese', 'english', 'text', 'prompt'],
num_rows: 1133
})
})
--------------------------------------------------
chinese: θθΏη«―θ΅·ζͺοΌη―ηΌθ΅·δΈεͺδΈθ§ηΌοΌδΈζζ³ζΊεδΊζͺοΌε°ιΉθ¬ηιιΊ»ιεε©εͺε¦εΎδΈθ½οΌιη εε¨ζ³ζι΄ι£θΏΈηοΌεεζε£°γ
--------------------------------------------------
english: Old Geng picked up his shotgun, squinted, and pulled the trigger. Two sparrows crashed to the ground like hailstones as shotgun pellets tore noisily through the branches.
--------------------------------------------------
text: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are a helpful assistant that translates Chinese to English.<|eot_id|><|start_header_id|>user<|end_header_id|>
You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.
Chinese: θθΏη«―θ΅·ζͺοΌη―ηΌθ΅·δΈεͺδΈθ§ηΌοΌδΈζζ³ζΊεδΊζͺοΌε°ιΉθ¬ηιιΊ»ιεε©εͺε¦εΎδΈθ½οΌιη εε¨ζ³ζι΄ι£θΏΈηοΌεεζε£°γ
English:<|eot_id|><|start_header_id|>assistant<|end_header_id|>
Old Geng picked up his shotgun, squinted, and pulled the trigger. Two sparrows crashed to the ground like hailstones as shotgun pellets tore noisily through the branches.<|eot_id|>
--------------------------------------------------
prompt: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are a helpful assistant that translates Chinese to English.<|eot_id|><|start_header_id|>user<|end_header_id|>
You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.
Chinese: θθΏη«―θ΅·ζͺοΌη―ηΌθ΅·δΈεͺδΈθ§ηΌοΌδΈζζ³ζΊεδΊζͺοΌε°ιΉθ¬ηιιΊ»ιεε©εͺε¦εΎδΈθ½οΌιη εε¨ζ³ζι΄ι£θΏΈηοΌεεζε£°γ
English:<|eot_id|><|start_header_id|>assistant<|end_header_id|>
--------------------------------------------------
chinese: ε―ΉζδΈε»δΉδΈθ½ζΎζΎγ
--------------------------------------------------
english: People shouldn't let up on me for a minute.
--------------------------------------------------
text: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are a helpful assistant that translates Chinese to English.<|eot_id|><|start_header_id|>user<|end_header_id|>
You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.
Chinese: ε―ΉζδΈε»δΉδΈθ½ζΎζΎγ
English:<|eot_id|><|start_header_id|>assistant<|end_header_id|>
People shouldn't let up on me for a minute.<|eot_id|>
--------------------------------------------------
prompt: <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are a helpful assistant that translates Chinese to English.<|eot_id|><|start_header_id|>user<|end_header_id|>
You will be given a Chinese sentence to translate. If it is an incomplete sentence, or if you are unsure about the meaning, simply copy the input text as your output. Do not output any additional sentence such as explanation or reasoning.
Chinese: ε―ΉζδΈε»δΉδΈθ½ζΎζΎγ
English:<|eot_id|><|start_header_id|>assistant<|end_header_id|>
Evaluating model: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105 on cuda
*** Evaluating with repetition_penalty: 1.0
0%| | 0/567 [00:00<?, ?it/s]
0%| | 1/567 [00:04<43:29, 4.61s/it]
0%| | 2/567 [00:07<35:53, 3.81s/it]
1%| | 3/567 [00:10<30:46, 3.27s/it]
1%| | 4/567 [00:15<37:23, 3.99s/it]
1%| | 5/567 [00:16<26:01, 2.78s/it]
1%| | 6/567 [00:17<22:06, 2.36s/it]
1%| | 7/567 [00:18<16:57, 1.82s/it]
1%|β | 8/567 [00:20<18:13, 1.96s/it]
2%|β | 9/567 [00:24<22:11, 2.39s/it]
2%|β | 10/567 [00:25<20:35, 2.22s/it]
2%|β | 11/567 [00:28<22:20, 2.41s/it]
2%|β | 12/567 [00:29<17:49, 1.93s/it]
2%|β | 13/567 [00:32<19:41, 2.13s/it]
2%|β | 14/567 [00:33<16:54, 1.83s/it]
3%|β | 15/567 [00:33<13:33, 1.47s/it]
3%|β | 16/567 [00:36<15:25, 1.68s/it]
3%|β | 17/567 [00:41<25:09, 2.75s/it]
3%|β | 18/567 [00:42<20:55, 2.29s/it]
3%|β | 19/567 [00:43<16:59, 1.86s/it]
4%|β | 20/567 [00:44<15:20, 1.68s/it]
4%|β | 21/567 [00:47<18:29, 2.03s/it]
4%|β | 22/567 [00:49<17:19, 1.91s/it]
4%|β | 23/567 [00:51<19:37, 2.16s/it]
4%|β | 24/567 [00:53<17:21, 1.92s/it]
4%|β | 25/567 [00:53<13:58, 1.55s/it]
5%|β | 26/567 [00:56<16:21, 1.81s/it]
5%|β | 27/567 [00:57<15:29, 1.72s/it]
5%|β | 28/567 [01:01<21:41, 2.41s/it]
5%|β | 29/567 [01:03<20:01, 2.23s/it]
5%|β | 30/567 [01:06<20:26, 2.28s/it]
5%|β | 31/567 [01:06<16:20, 1.83s/it]
6%|β | 32/567 [01:09<17:59, 2.02s/it]
6%|β | 33/567 [01:10<15:22, 1.73s/it]
6%|β | 34/567 [01:13<19:37, 2.21s/it]
6%|β | 35/567 [01:16<19:44, 2.23s/it]
6%|β | 36/567 [01:16<15:36, 1.76s/it]
7%|β | 37/567 [01:17<12:42, 1.44s/it]
7%|β | 38/567 [01:18<11:17, 1.28s/it]
7%|β | 39/567 [01:19<11:37, 1.32s/it]
7%|β | 40/567 [01:21<11:58, 1.36s/it]
7%|β | 41/567 [01:21<09:33, 1.09s/it]
7%|β | 42/567 [01:25<15:35, 1.78s/it]
8%|β | 43/567 [01:25<12:48, 1.47s/it]
8%|β | 44/567 [01:27<13:15, 1.52s/it]
8%|β | 45/567 [01:29<14:59, 1.72s/it]
8%|β | 46/567 [01:30<13:05, 1.51s/it]
8%|β | 47/567 [01:32<13:35, 1.57s/it]
8%|β | 48/567 [01:34<15:00, 1.73s/it]
9%|β | 49/567 [01:35<12:50, 1.49s/it]
9%|β | 50/567 [01:37<15:00, 1.74s/it]
9%|β | 51/567 [01:40<18:29, 2.15s/it]
9%|β | 52/567 [01:41<14:33, 1.70s/it]
9%|β | 53/567 [01:52<37:26, 4.37s/it]
10%|β | 54/567 [01:56<36:38, 4.29s/it]
10%|β | 55/567 [01:59<35:00, 4.10s/it]
10%|β | 56/567 [02:05<38:32, 4.53s/it]
10%|β | 57/567 [02:08<35:30, 4.18s/it]
10%|β | 58/567 [02:09<26:46, 3.16s/it]
10%|β | 59/567 [02:11<24:26, 2.89s/it]
11%|β | 60/567 [02:13<22:26, 2.66s/it]
11%|β | 61/567 [02:14<18:20, 2.18s/it]
11%|β | 62/567 [02:16<15:56, 1.89s/it]
11%|β | 63/567 [02:17<15:13, 1.81s/it]
11%|ββ | 64/567 [02:21<21:16, 2.54s/it]
11%|ββ | 65/567 [02:23<17:34, 2.10s/it]
12%|ββ | 66/567 [02:25<18:53, 2.26s/it]
12%|ββ | 67/567 [02:26<14:54, 1.79s/it]
12%|ββ | 68/567 [02:31<22:06, 2.66s/it]
12%|ββ | 69/567 [02:32<18:17, 2.20s/it]
12%|ββ | 70/567 [02:33<17:10, 2.07s/it]
13%|ββ | 71/567 [02:35<14:43, 1.78s/it]
13%|ββ | 72/567 [02:36<14:24, 1.75s/it]
13%|ββ | 73/567 [02:37<12:12, 1.48s/it]
13%|ββ | 74/567 [02:39<12:24, 1.51s/it]
13%|ββ | 75/567 [02:40<11:01, 1.34s/it]
13%|ββ | 76/567 [02:42<12:30, 1.53s/it]
14%|ββ | 77/567 [02:44<14:02, 1.72s/it]
14%|ββ | 78/567 [02:45<13:14, 1.63s/it]
14%|ββ | 79/567 [02:48<15:17, 1.88s/it]
14%|ββ | 80/567 [02:48<12:40, 1.56s/it]
14%|ββ | 81/567 [02:49<10:44, 1.33s/it]
14%|ββ | 82/567 [02:51<11:03, 1.37s/it]
15%|ββ | 83/567 [02:52<10:42, 1.33s/it]
15%|ββ | 84/567 [02:53<10:13, 1.27s/it]
15%|ββ | 85/567 [02:54<09:13, 1.15s/it]
15%|ββ | 86/567 [02:54<07:19, 1.09it/s]
15%|ββ | 87/567 [02:55<06:59, 1.15it/s]
16%|ββ | 88/567 [02:56<07:10, 1.11it/s]
16%|ββ | 89/567 [03:01<17:07, 2.15s/it]
16%|ββ | 90/567 [03:03<16:09, 2.03s/it]
16%|ββ | 91/567 [03:05<17:24, 2.20s/it]
16%|ββ | 92/567 [03:06<14:20, 1.81s/it]
16%|ββ | 93/567 [03:07<11:38, 1.47s/it]
17%|ββ | 94/567 [03:11<16:45, 2.13s/it]
17%|ββ | 95/567 [03:12<13:58, 1.78s/it]
17%|ββ | 96/567 [03:13<13:47, 1.76s/it]
17%|ββ | 97/567 [03:15<13:38, 1.74s/it]
17%|ββ | 98/567 [03:16<10:48, 1.38s/it]
17%|ββ | 99/567 [03:17<10:30, 1.35s/it]
18%|ββ | 100/567 [03:20<15:41, 2.02s/it]
18%|ββ | 101/567 [03:22<13:55, 1.79s/it]
18%|ββ | 102/567 [03:25<17:31, 2.26s/it]
18%|ββ | 103/567 [03:26<13:18, 1.72s/it]
18%|ββ | 104/567 [03:28<14:43, 1.91s/it]
19%|ββ | 105/567 [03:34<24:46, 3.22s/it]
19%|ββ | 106/567 [03:36<22:01, 2.87s/it]
19%|ββ | 107/567 [03:37<17:22, 2.27s/it]
19%|ββ | 108/567 [03:42<23:29, 3.07s/it]
19%|ββ | 109/567 [03:43<17:56, 2.35s/it]
19%|ββ | 110/567 [03:44<15:01, 1.97s/it]
20%|ββ | 111/567 [03:48<20:38, 2.72s/it]
20%|ββ | 112/567 [03:50<19:15, 2.54s/it]
20%|ββ | 113/567 [03:55<23:17, 3.08s/it]
20%|ββ | 114/567 [03:56<18:51, 2.50s/it]
20%|ββ | 115/567 [03:59<19:54, 2.64s/it]
20%|ββ | 116/567 [04:00<17:19, 2.30s/it]
21%|ββ | 117/567 [04:02<14:56, 1.99s/it]
21%|ββ | 118/567 [04:04<15:16, 2.04s/it]
21%|ββ | 119/567 [04:09<21:59, 2.95s/it]
21%|ββ | 120/567 [04:11<19:20, 2.60s/it]
21%|βββ | 121/567 [04:11<15:02, 2.02s/it]
22%|βββ | 122/567 [04:12<13:14, 1.79s/it]
22%|βββ | 123/567 [04:14<12:27, 1.68s/it]
22%|βββ | 124/567 [04:16<13:39, 1.85s/it]
22%|βββ | 125/567 [04:17<11:58, 1.62s/it]
22%|βββ | 126/567 [04:19<12:04, 1.64s/it]
22%|βββ | 127/567 [04:22<15:15, 2.08s/it]
23%|βββ | 128/567 [04:24<15:18, 2.09s/it]
23%|βββ | 129/567 [04:27<16:09, 2.21s/it]
23%|βββ | 130/567 [04:34<27:32, 3.78s/it]
23%|βββ | 131/567 [04:40<31:23, 4.32s/it]
23%|βββ | 132/567 [04:46<35:07, 4.84s/it]
23%|βββ | 133/567 [04:51<35:16, 4.88s/it]
24%|βββ | 134/567 [04:59<42:30, 5.89s/it]
24%|βββ | 135/567 [05:00<32:47, 4.55s/it]
24%|βββ | 136/567 [05:02<25:48, 3.59s/it]
24%|βββ | 137/567 [05:03<21:23, 2.98s/it]
24%|βββ | 138/567 [05:04<16:06, 2.25s/it]
25%|βββ | 139/567 [05:05<14:05, 1.98s/it]
25%|βββ | 140/567 [05:06<12:33, 1.77s/it]
25%|βββ | 141/567 [05:09<14:09, 1.99s/it]
25%|βββ | 142/567 [05:10<12:30, 1.77s/it]
25%|βββ | 143/567 [05:11<10:05, 1.43s/it]
25%|βββ | 144/567 [05:13<11:39, 1.65s/it]
26%|βββ | 145/567 [05:14<10:40, 1.52s/it]
26%|βββ | 146/567 [05:16<10:45, 1.53s/it]
26%|βββ | 147/567 [05:20<16:16, 2.32s/it]
26%|βββ | 148/567 [05:22<16:08, 2.31s/it]
26%|βββ | 149/567 [05:23<13:16, 1.91s/it]
26%|βββ | 150/567 [05:24<10:29, 1.51s/it]
27%|βββ | 151/567 [05:24<08:34, 1.24s/it]
27%|βββ | 152/567 [05:26<08:46, 1.27s/it]
27%|βββ | 153/567 [05:28<11:09, 1.62s/it]
27%|βββ | 154/567 [05:29<10:03, 1.46s/it]
27%|βββ | 155/567 [05:30<08:54, 1.30s/it]
28%|βββ | 156/567 [05:32<09:44, 1.42s/it]
28%|βββ | 157/567 [05:33<09:56, 1.45s/it]
28%|βββ | 158/567 [05:37<15:12, 2.23s/it]
28%|βββ | 159/567 [05:39<12:51, 1.89s/it]
28%|βββ | 160/567 [05:42<16:34, 2.44s/it]
28%|βββ | 161/567 [05:43<13:17, 1.96s/it]
29%|βββ | 162/567 [05:45<13:52, 2.06s/it]
29%|βββ | 163/567 [05:46<11:49, 1.76s/it]
29%|βββ | 164/567 [06:16<1:08:36, 10.21s/it]
29%|βββ | 165/567 [06:18<51:39, 7.71s/it]
29%|βββ | 166/567 [06:20<38:31, 5.76s/it]
29%|βββ | 167/567 [06:24<36:13, 5.43s/it]
30%|βββ | 168/567 [06:25<27:35, 4.15s/it]
30%|βββ | 169/567 [06:27<23:13, 3.50s/it]
30%|βββ | 170/567 [06:29<20:11, 3.05s/it]
30%|βββ | 171/567 [06:31<16:28, 2.50s/it]
30%|βββ | 172/567 [06:33<16:09, 2.45s/it]
31%|βββ | 173/567 [06:34<13:04, 1.99s/it]
31%|βββ | 174/567 [06:35<12:15, 1.87s/it]
31%|βββ | 175/567 [06:38<14:02, 2.15s/it]
31%|βββ | 176/567 [06:39<11:56, 1.83s/it]
31%|βββ | 177/567 [06:42<13:42, 2.11s/it]
31%|ββββ | 178/567 [06:43<11:10, 1.72s/it]
32%|ββββ | 179/567 [06:45<11:24, 1.76s/it]
32%|ββββ | 180/567 [06:47<11:43, 1.82s/it]
32%|ββββ | 181/567 [06:48<11:17, 1.76s/it]
32%|ββββ | 182/567 [06:49<08:54, 1.39s/it]
32%|ββββ | 183/567 [06:49<07:26, 1.16s/it]
32%|ββββ | 184/567 [06:52<10:38, 1.67s/it]
33%|ββββ | 185/567 [06:53<09:05, 1.43s/it]
33%|ββββ | 186/567 [07:00<19:48, 3.12s/it]
33%|ββββ | 187/567 [07:01<16:12, 2.56s/it]
33%|ββββ | 188/567 [07:03<13:49, 2.19s/it]
33%|ββββ | 189/567 [07:04<12:03, 1.91s/it]
34%|ββββ | 190/567 [07:05<09:53, 1.57s/it]
34%|ββββ | 191/567 [07:09<14:06, 2.25s/it]
34%|ββββ | 192/567 [07:11<14:17, 2.29s/it]
34%|ββββ | 193/567 [07:22<30:54, 4.96s/it]
34%|ββββ | 194/567 [07:23<23:12, 3.73s/it]
34%|ββββ | 195/567 [07:25<19:16, 3.11s/it]
35%|ββββ | 196/567 [07:27<18:16, 2.96s/it]
35%|ββββ | 197/567 [07:31<19:03, 3.09s/it]
35%|ββββ | 198/567 [07:35<20:31, 3.34s/it]
35%|ββββ | 199/567 [07:37<18:07, 2.95s/it]
35%|ββββ | 200/567 [07:39<15:52, 2.60s/it]
35%|ββββ | 201/567 [07:39<12:44, 2.09s/it]
36%|ββββ | 202/567 [07:40<10:33, 1.74s/it]
36%|ββββ | 203/567 [07:41<09:17, 1.53s/it]
36%|ββββ | 204/567 [07:43<08:37, 1.43s/it]
36%|ββββ | 205/567 [07:45<09:47, 1.62s/it]
36%|ββββ | 206/567 [07:48<13:47, 2.29s/it]
37%|ββββ | 207/567 [07:50<11:57, 1.99s/it]
37%|ββββ | 208/567 [07:53<14:35, 2.44s/it]
37%|ββββ | 209/567 [07:54<11:44, 1.97s/it]
37%|ββββ | 210/567 [07:57<12:28, 2.10s/it]
37%|ββββ | 211/567 [07:59<12:27, 2.10s/it]
37%|ββββ | 212/567 [08:01<12:31, 2.12s/it]
38%|ββββ | 213/567 [08:03<13:04, 2.22s/it]
38%|ββββ | 214/567 [08:05<11:43, 1.99s/it]
38%|ββββ | 215/567 [08:06<10:06, 1.72s/it]
38%|ββββ | 216/567 [08:08<10:32, 1.80s/it]
38%|ββββ | 217/567 [08:10<11:31, 1.98s/it]
38%|ββββ | 218/567 [08:13<13:15, 2.28s/it]
39%|ββββ | 219/567 [08:15<12:49, 2.21s/it]
39%|ββββ | 220/567 [08:17<11:15, 1.95s/it]
39%|ββββ | 221/567 [08:17<09:21, 1.62s/it]
39%|ββββ | 222/567 [08:19<08:45, 1.52s/it]
39%|ββββ | 223/567 [08:20<07:46, 1.36s/it]
40%|ββββ | 224/567 [08:22<08:36, 1.51s/it]
40%|ββββ | 225/567 [08:24<10:07, 1.78s/it]
40%|ββββ | 226/567 [08:26<11:20, 2.00s/it]
40%|ββββ | 227/567 [08:27<09:10, 1.62s/it]
40%|ββββ | 228/567 [08:29<09:41, 1.72s/it]
40%|ββββ | 229/567 [08:32<11:52, 2.11s/it]
41%|ββββ | 230/567 [08:33<10:13, 1.82s/it]
41%|ββββ | 231/567 [08:36<11:56, 2.13s/it]
41%|ββββ | 232/567 [08:38<11:13, 2.01s/it]
41%|ββββ | 233/567 [08:40<11:47, 2.12s/it]
41%|βββββ | 234/567 [08:41<09:46, 1.76s/it]
41%|βββββ | 235/567 [08:44<11:28, 2.07s/it]
42%|βββββ | 236/567 [08:46<11:28, 2.08s/it]
42%|βββββ | 237/567 [08:47<09:22, 1.71s/it]
42%|βββββ | 238/567 [08:48<08:41, 1.59s/it]
42%|βββββ | 239/567 [08:50<09:29, 1.74s/it]
42%|βββββ | 240/567 [08:56<16:06, 2.96s/it]
43%|βββββ | 241/567 [08:57<13:21, 2.46s/it]
43%|βββββ | 242/567 [08:59<11:25, 2.11s/it]
43%|βββββ | 243/567 [09:01<11:52, 2.20s/it]
43%|βββββ | 244/567 [09:04<13:07, 2.44s/it]
43%|βββββ | 245/567 [09:05<10:20, 1.93s/it]
43%|βββββ | 246/567 [09:07<10:34, 1.98s/it]
44%|βββββ | 247/567 [09:08<08:38, 1.62s/it]
44%|βββββ | 248/567 [09:09<08:51, 1.67s/it]
44%|βββββ | 249/567 [09:11<08:11, 1.55s/it]
44%|βββββ | 250/567 [09:14<10:48, 2.04s/it]
44%|βββββ | 251/567 [09:19<15:41, 2.98s/it]
44%|βββββ | 252/567 [09:22<15:02, 2.86s/it]
45%|βββββ | 253/567 [09:22<11:29, 2.20s/it]
45%|βββββ | 254/567 [09:30<19:44, 3.78s/it]
45%|βββββ | 255/567 [09:32<17:08, 3.30s/it]
45%|βββββ | 256/567 [09:33<13:01, 2.51s/it]
45%|βββββ | 257/567 [09:37<15:12, 2.94s/it]
46%|βββββ | 258/567 [09:39<13:46, 2.67s/it]
46%|βββββ | 259/567 [09:39<10:48, 2.11s/it]
46%|βββββ | 260/567 [09:46<17:08, 3.35s/it]
46%|βββββ | 261/567 [09:48<14:40, 2.88s/it]
46%|βββββ | 262/567 [09:51<15:36, 3.07s/it]
46%|βββββ | 263/567 [09:52<12:23, 2.44s/it]
47%|βββββ | 264/567 [09:53<09:28, 1.88s/it]
47%|βββββ | 265/567 [09:58<14:06, 2.80s/it]
47%|βββββ | 266/567 [09:59<11:26, 2.28s/it]
47%|βββββ | 267/567 [10:00<10:20, 2.07s/it]
47%|βββββ | 268/567 [10:03<12:09, 2.44s/it]
47%|βββββ | 269/567 [10:06<12:18, 2.48s/it]
48%|βββββ | 270/567 [10:07<10:22, 2.10s/it]
48%|βββββ | 271/567 [10:11<12:24, 2.51s/it]
48%|βββββ | 272/567 [10:12<11:07, 2.26s/it]
48%|βββββ | 273/567 [10:14<09:28, 1.93s/it]
48%|βββββ | 274/567 [10:15<08:52, 1.82s/it]
49%|βββββ | 275/567 [10:16<08:05, 1.66s/it]
49%|βββββ | 276/567 [10:19<08:50, 1.82s/it]
49%|βββββ | 277/567 [10:21<09:32, 1.97s/it]
49%|βββββ | 278/567 [10:22<07:33, 1.57s/it]
49%|βββββ | 279/567 [10:25<10:52, 2.27s/it]
49%|βββββ | 280/567 [10:28<11:19, 2.37s/it]
50%|βββββ | 281/567 [10:29<09:13, 1.93s/it]
50%|βββββ | 282/567 [10:30<08:12, 1.73s/it]
50%|βββββ | 283/567 [10:34<11:03, 2.34s/it]
50%|βββββ | 284/567 [10:35<09:12, 1.95s/it]
50%|βββββ | 285/567 [10:36<08:10, 1.74s/it]
50%|βββββ | 286/567 [10:37<06:28, 1.38s/it]
51%|βββββ | 287/567 [10:39<07:52, 1.69s/it]
51%|βββββ | 288/567 [10:41<08:08, 1.75s/it]
51%|βββββ | 289/567 [10:44<09:03, 1.96s/it]
51%|βββββ | 290/567 [10:46<09:17, 2.01s/it]
51%|ββββββ | 291/567 [10:47<08:52, 1.93s/it]
51%|ββββββ | 292/567 [10:50<09:41, 2.11s/it]
52%|ββββββ | 293/567 [10:52<08:50, 1.94s/it]
52%|ββββββ | 294/567 [10:53<07:39, 1.68s/it]
52%|ββββββ | 295/567 [10:54<06:57, 1.53s/it]
52%|ββββββ | 296/567 [10:57<08:42, 1.93s/it]
52%|ββββββ | 297/567 [10:58<07:48, 1.73s/it]
53%|ββββββ | 298/567 [11:05<15:28, 3.45s/it]
53%|ββββββ | 299/567 [11:07<12:43, 2.85s/it]
53%|ββββββ | 300/567 [11:09<12:23, 2.78s/it]
53%|ββββββ | 301/567 [11:11<11:21, 2.56s/it]
53%|ββββββ | 302/567 [11:13<09:42, 2.20s/it]
53%|ββββββ | 303/567 [11:14<08:20, 1.89s/it]
54%|ββββββ | 304/567 [11:15<07:15, 1.66s/it]
54%|ββββββ | 305/567 [11:17<07:05, 1.62s/it]
54%|ββββββ | 306/567 [11:19<08:22, 1.93s/it]
54%|ββββββ | 307/567 [11:24<12:30, 2.89s/it]
54%|ββββββ | 308/567 [11:26<10:13, 2.37s/it]
54%|ββββββ | 309/567 [11:26<07:54, 1.84s/it]
55%|ββββββ | 310/567 [11:35<16:27, 3.84s/it]
55%|ββββββ | 311/567 [11:37<14:05, 3.30s/it]
55%|ββββββ | 312/567 [11:38<11:18, 2.66s/it]
55%|ββββββ | 313/567 [11:39<09:02, 2.14s/it]
55%|ββββββ | 314/567 [11:41<08:45, 2.08s/it]
56%|ββββββ | 315/567 [11:46<12:45, 3.04s/it]
56%|ββββββ | 316/567 [11:47<09:48, 2.35s/it]
56%|ββββββ | 317/567 [11:49<09:13, 2.21s/it]
56%|ββββββ | 318/567 [11:50<07:30, 1.81s/it]
56%|ββββββ | 319/567 [11:53<08:59, 2.18s/it]
56%|ββββββ | 320/567 [11:53<06:50, 1.66s/it]
57%|ββββββ | 321/567 [11:58<11:26, 2.79s/it]
57%|ββββββ | 322/567 [12:00<10:21, 2.54s/it]
57%|ββββββ | 323/567 [12:03<09:59, 2.46s/it]
57%|ββββββ | 324/567 [12:04<08:04, 1.99s/it]
57%|ββββββ | 325/567 [12:08<11:22, 2.82s/it]
57%|ββββββ | 326/567 [12:09<08:41, 2.17s/it]
58%|ββββββ | 327/567 [12:10<07:12, 1.80s/it]
58%|ββββββ | 328/567 [12:11<06:49, 1.71s/it]
58%|ββββββ | 329/567 [12:16<10:10, 2.56s/it]
58%|ββββββ | 330/567 [12:16<07:34, 1.92s/it]
58%|ββββββ | 331/567 [12:18<06:45, 1.72s/it]
59%|ββββββ | 332/567 [12:19<06:00, 1.53s/it]
59%|ββββββ | 333/567 [12:21<06:15, 1.61s/it]
59%|ββββββ | 334/567 [12:22<05:38, 1.45s/it]
59%|ββββββ | 335/567 [12:23<05:30, 1.42s/it]
59%|ββββββ | 336/567 [12:24<04:34, 1.19s/it]
59%|ββββββ | 337/567 [12:27<07:11, 1.88s/it]
60%|ββββββ | 338/567 [12:28<06:03, 1.59s/it]
60%|ββββββ | 339/567 [12:29<05:21, 1.41s/it]
60%|ββββββ | 340/567 [12:30<04:30, 1.19s/it]
60%|ββββββ | 341/567 [12:31<04:31, 1.20s/it]
60%|ββββββ | 342/567 [12:34<06:07, 1.63s/it]
60%|ββββββ | 343/567 [12:34<05:07, 1.37s/it]
61%|ββββββ | 344/567 [12:36<05:11, 1.40s/it]
61%|ββββββ | 345/567 [12:37<05:13, 1.41s/it]
61%|ββββββ | 346/567 [12:38<05:01, 1.36s/it]
61%|ββββββ | 347/567 [12:41<05:48, 1.58s/it]
61%|βββββββ | 348/567 [12:42<06:00, 1.65s/it]
62%|βββββββ | 349/567 [12:46<08:35, 2.36s/it]
62%|βββββββ | 350/567 [12:48<08:02, 2.22s/it]
62%|βββββββ | 351/567 [12:57<15:14, 4.23s/it]
62%|βββββββ | 352/567 [12:59<12:00, 3.35s/it]
62%|βββββββ | 353/567 [13:02<11:48, 3.31s/it]
62%|βββββββ | 354/567 [13:03<10:05, 2.84s/it]
63%|βββββββ | 355/567 [13:05<08:40, 2.46s/it]
63%|βββββββ | 356/567 [13:07<08:27, 2.40s/it]
63%|βββββββ | 357/567 [13:08<06:36, 1.89s/it]
63%|βββββββ | 358/567 [13:09<05:42, 1.64s/it]
63%|βββββββ | 359/567 [13:10<05:03, 1.46s/it]
63%|βββββββ | 360/567 [13:11<04:48, 1.39s/it]
64%|βββββββ | 361/567 [13:13<04:50, 1.41s/it]
64%|βββββββ | 362/567 [13:16<06:22, 1.87s/it]
64%|βββββββ | 363/567 [13:20<08:26, 2.48s/it]
64%|βββββββ | 364/567 [13:23<08:53, 2.63s/it]
64%|βββββββ | 365/567 [13:25<08:14, 2.45s/it]
65%|βββββββ | 366/567 [13:26<07:03, 2.11s/it]
65%|βββββββ | 367/567 [13:28<07:06, 2.13s/it]
65%|βββββββ | 368/567 [13:31<07:20, 2.21s/it]
65%|βββββββ | 369/567 [13:33<07:31, 2.28s/it]
65%|βββββββ | 370/567 [13:34<06:39, 2.03s/it]
65%|βββββββ | 371/567 [13:36<05:47, 1.77s/it]
66%|βββββββ | 372/567 [13:37<05:02, 1.55s/it]
66%|βββββββ | 373/567 [13:40<06:45, 2.09s/it]
66%|βββββββ | 374/567 [13:43<07:52, 2.45s/it]
66%|βββββββ | 375/567 [13:46<07:52, 2.46s/it]
66%|βββββββ | 376/567 [13:47<06:28, 2.03s/it]
66%|βββββββ | 377/567 [13:51<08:52, 2.80s/it]
67%|βββββββ | 378/567 [13:54<08:13, 2.61s/it]
67%|βββββββ | 379/567 [13:57<08:38, 2.76s/it]
67%|βββββββ | 380/567 [13:58<07:35, 2.43s/it]
67%|βββββββ | 381/567 [14:00<06:55, 2.23s/it]
67%|βββββββ | 382/567 [14:01<05:52, 1.90s/it]
68%|βββββββ | 383/567 [14:04<06:55, 2.26s/it]
68%|βββββββ | 384/567 [14:08<08:08, 2.67s/it]
68%|βββββββ | 385/567 [14:11<08:29, 2.80s/it]
68%|βββββββ | 386/567 [14:13<08:01, 2.66s/it]
68%|βββββββ | 387/567 [14:15<06:56, 2.31s/it]
68%|βββββββ | 388/567 [14:25<13:35, 4.56s/it]
69%|βββββββ | 389/567 [14:27<11:52, 4.00s/it]
69%|βββββββ | 390/567 [14:28<08:47, 2.98s/it]
69%|βββββββ | 391/567 [14:32<09:56, 3.39s/it]
69%|βββββββ | 392/567 [14:36<10:06, 3.47s/it]
69%|βββββββ | 393/567 [14:37<07:54, 2.73s/it]
69%|βββββββ | 394/567 [14:39<07:35, 2.63s/it]
70%|βββββββ | 395/567 [14:43<08:10, 2.85s/it]
70%|βββββββ | 396/567 [14:45<07:15, 2.54s/it]
70%|βββββββ | 397/567 [14:51<10:24, 3.67s/it]
70%|βββββββ | 398/567 [14:51<07:44, 2.75s/it]
70%|βββββββ | 399/567 [14:52<05:54, 2.11s/it]
71%|βββββββ | 400/567 [14:53<05:07, 1.84s/it]
71%|βββββββ | 401/567 [14:54<04:23, 1.59s/it]
71%|βββββββ | 402/567 [14:57<05:13, 1.90s/it]
71%|βββββββ | 403/567 [14:59<04:57, 1.81s/it]
71%|ββββββββ | 404/567 [14:59<04:04, 1.50s/it]
71%|ββββββββ | 405/567 [15:00<03:27, 1.28s/it]
72%|ββββββββ | 406/567 [15:02<04:05, 1.53s/it]
72%|ββββββββ | 407/567 [15:03<03:34, 1.34s/it]
72%|ββββββββ | 408/567 [15:06<04:34, 1.73s/it]
72%|ββββββββ | 409/567 [15:07<03:57, 1.50s/it]
72%|ββββββββ | 410/567 [15:08<03:43, 1.42s/it]
72%|ββββββββ | 411/567 [15:09<03:10, 1.22s/it]
73%|ββββββββ | 412/567 [15:10<03:29, 1.35s/it]
73%|ββββββββ | 413/567 [15:13<04:19, 1.68s/it]
73%|ββββββββ | 414/567 [15:13<03:29, 1.37s/it]
73%|ββββββββ | 415/567 [15:18<05:36, 2.21s/it]
73%|ββββββββ | 416/567 [15:20<05:19, 2.12s/it]
74%|ββββββββ | 417/567 [15:25<08:06, 3.24s/it]
74%|ββββββββ | 418/567 [15:28<07:18, 2.94s/it]
74%|ββββββββ | 419/567 [15:33<09:15, 3.75s/it]
74%|ββββββββ | 420/567 [15:36<08:10, 3.34s/it]
74%|ββββββββ | 421/567 [15:39<08:01, 3.30s/it]
74%|ββββββββ | 422/567 [15:41<07:14, 2.99s/it]
75%|ββββββββ | 423/567 [15:43<06:20, 2.64s/it]
75%|ββββββββ | 424/567 [15:45<06:09, 2.58s/it]
75%|ββββββββ | 425/567 [15:48<05:47, 2.45s/it]
75%|ββββββββ | 426/567 [15:48<04:34, 1.95s/it]
75%|ββββββββ | 427/567 [15:50<04:10, 1.79s/it]
75%|ββββββββ | 428/567 [15:54<05:36, 2.42s/it]
76%|ββββββββ | 429/567 [15:57<06:12, 2.70s/it]
76%|ββββββββ | 430/567 [15:59<05:22, 2.36s/it]
76%|ββββββββ | 431/567 [16:03<07:05, 3.13s/it]
76%|ββββββββ | 432/567 [16:08<07:53, 3.51s/it]
76%|ββββββββ | 433/567 [16:11<07:26, 3.33s/it]
77%|ββββββββ | 434/567 [16:13<06:56, 3.13s/it]
77%|ββββββββ | 435/567 [16:14<05:29, 2.49s/it]
77%|ββββββββ | 436/567 [16:16<05:03, 2.32s/it]
77%|ββββββββ | 437/567 [16:17<04:08, 1.91s/it]
77%|ββββββββ | 438/567 [16:21<05:17, 2.46s/it]
77%|ββββββββ | 439/567 [16:23<05:01, 2.35s/it]
78%|ββββββββ | 440/567 [16:24<04:05, 1.93s/it]
78%|ββββββββ | 441/567 [16:26<03:44, 1.78s/it]
78%|ββββββββ | 442/567 [16:27<03:33, 1.71s/it]
78%|ββββββββ | 443/567 [16:28<03:20, 1.61s/it]
78%|ββββββββ | 444/567 [16:33<05:13, 2.55s/it]
78%|ββββββββ | 445/567 [16:35<04:38, 2.28s/it]
79%|ββββββββ | 446/567 [16:38<05:13, 2.59s/it]
79%|ββββββββ | 447/567 [16:41<05:07, 2.56s/it]
79%|ββββββββ | 448/567 [16:42<04:35, 2.32s/it]
79%|ββββββββ | 449/567 [16:43<03:43, 1.89s/it]
79%|ββββββββ | 450/567 [16:45<03:25, 1.76s/it]
80%|ββββββββ | 451/567 [16:46<03:08, 1.63s/it]
80%|ββββββββ | 452/567 [16:48<03:00, 1.57s/it]
80%|ββββββββ | 453/567 [16:51<03:53, 2.05s/it]
80%|ββββββββ | 454/567 [16:52<03:32, 1.88s/it]
80%|ββββββββ | 455/567 [16:53<02:57, 1.59s/it]
80%|ββββββββ | 456/567 [16:54<02:33, 1.38s/it]
81%|ββββββββ | 457/567 [16:55<02:22, 1.29s/it]
81%|ββββββββ | 458/567 [16:57<02:34, 1.41s/it]
81%|ββββββββ | 459/567 [16:59<03:09, 1.76s/it]
81%|ββββββββ | 460/567 [17:00<02:23, 1.34s/it]
81%|βββββββββ | 461/567 [17:01<02:14, 1.27s/it]
81%|βββββββββ | 462/567 [17:02<02:00, 1.15s/it]
82%|βββββββββ | 463/567 [17:03<02:08, 1.24s/it]
82%|βββββββββ | 464/567 [17:04<01:54, 1.11s/it]
82%|βββββββββ | 465/567 [17:06<02:29, 1.46s/it]
82%|βββββββββ | 466/567 [17:08<02:25, 1.44s/it]
82%|βββββββββ | 467/567 [17:08<01:58, 1.19s/it]
83%|βββββββββ | 468/567 [17:10<02:12, 1.34s/it]
83%|βββββββββ | 469/567 [17:11<02:10, 1.33s/it]
83%|βββββββββ | 470/567 [17:13<02:16, 1.40s/it]
83%|βββββββββ | 471/567 [17:16<02:53, 1.81s/it]
83%|βββββββββ | 472/567 [17:19<03:50, 2.42s/it]
83%|βββββββββ | 473/567 [17:22<03:50, 2.46s/it]
84%|βββββββββ | 474/567 [17:25<04:10, 2.69s/it]
84%|βββββββββ | 475/567 [17:26<03:15, 2.13s/it]
84%|βββββββββ | 476/567 [17:27<02:52, 1.89s/it]
84%|βββββββββ | 477/567 [17:28<02:13, 1.49s/it]
84%|βββββββββ | 478/567 [17:29<02:16, 1.53s/it]
84%|βββββββββ | 479/567 [17:30<01:58, 1.35s/it]
85%|βββββββββ | 480/567 [17:32<01:55, 1.33s/it]
85%|βββββββββ | 481/567 [17:37<03:32, 2.47s/it]
85%|βββββββββ | 482/567 [17:39<03:11, 2.25s/it]
85%|βββββββββ | 483/567 [17:40<02:38, 1.89s/it]
85%|βββββββββ | 484/567 [17:43<03:04, 2.22s/it]
86%|βββββββββ | 485/567 [17:43<02:28, 1.81s/it]
86%|βββββββββ | 486/567 [17:46<02:37, 1.95s/it]
86%|βββββββββ | 487/567 [17:51<03:45, 2.82s/it]
86%|βββββββββ | 488/567 [17:51<02:52, 2.18s/it]
86%|βββββββββ | 489/567 [17:52<02:27, 1.89s/it]
86%|βββββββββ | 490/567 [17:57<03:25, 2.66s/it]
87%|βββββββββ | 491/567 [17:58<02:56, 2.32s/it]
87%|βββββββββ | 492/567 [17:59<02:18, 1.84s/it]
87%|βββββββββ | 493/567 [18:03<02:49, 2.29s/it]
87%|βββββββββ | 494/567 [18:04<02:32, 2.09s/it]
87%|βββββββββ | 495/567 [18:11<04:17, 3.57s/it]
87%|βββββββββ | 496/567 [18:12<03:17, 2.78s/it]
88%|βββββββββ | 497/567 [18:15<03:17, 2.82s/it]
88%|βββββββββ | 498/567 [18:17<03:03, 2.65s/it]
88%|βββββββββ | 499/567 [18:19<02:32, 2.25s/it]
88%|βββββββββ | 500/567 [18:22<02:55, 2.62s/it]
88%|βββββββββ | 501/567 [18:23<02:19, 2.11s/it]
89%|βββββββββ | 502/567 [18:26<02:30, 2.32s/it]
89%|βββββββββ | 503/567 [18:32<03:39, 3.43s/it]
89%|βββββββββ | 504/567 [18:34<03:16, 3.12s/it]
89%|βββββββββ | 505/567 [18:37<03:03, 2.96s/it]
89%|βββββββββ | 506/567 [18:41<03:17, 3.23s/it]
89%|βββββββββ | 507/567 [18:42<02:36, 2.60s/it]
90%|βββββββββ | 508/567 [18:44<02:32, 2.58s/it]
90%|βββββββββ | 509/567 [18:46<02:11, 2.27s/it]
90%|βββββββββ | 510/567 [18:49<02:18, 2.42s/it]
90%|βββββββββ | 511/567 [18:51<02:06, 2.25s/it]
90%|βββββββββ | 512/567 [18:55<02:37, 2.86s/it]
90%|βββββββββ | 513/567 [18:57<02:30, 2.79s/it]
91%|βββββββββ | 514/567 [18:58<01:58, 2.23s/it]
91%|βββββββββ | 515/567 [19:00<01:53, 2.18s/it]
91%|βββββββββ | 516/567 [19:02<01:38, 1.93s/it]
91%|βββββββββ | 517/567 [19:03<01:31, 1.82s/it]
91%|ββββββββββ| 518/567 [19:05<01:21, 1.65s/it]
92%|ββββββββββ| 519/567 [19:06<01:13, 1.53s/it]
92%|ββββββββββ| 520/567 [19:07<01:06, 1.42s/it]
92%|ββββββββββ| 521/567 [19:08<01:05, 1.43s/it]
92%|ββββββββββ| 522/567 [19:11<01:23, 1.85s/it]
92%|ββββββββββ| 523/567 [19:13<01:20, 1.84s/it]
92%|ββββββββββ| 524/567 [19:15<01:14, 1.73s/it]
93%|ββββββββββ| 525/567 [19:16<01:10, 1.69s/it]
93%|ββββββββββ| 526/567 [19:18<01:07, 1.64s/it]
93%|ββββββββββ| 527/567 [19:20<01:17, 1.95s/it]
93%|ββββββββββ| 528/567 [19:21<01:05, 1.69s/it]
93%|ββββββββββ| 529/567 [19:22<00:56, 1.50s/it]
93%|ββββββββββ| 530/567 [19:26<01:20, 2.18s/it]
94%|ββββββββββ| 531/567 [19:28<01:10, 1.95s/it]
94%|ββββββββββ| 532/567 [19:29<01:04, 1.86s/it]
94%|ββββββββββ| 533/567 [19:30<00:53, 1.59s/it]
94%|ββββββββββ| 534/567 [19:31<00:46, 1.41s/it]
94%|ββββββββββ| 535/567 [19:33<00:48, 1.52s/it]
95%|ββββββββββ| 536/567 [19:35<00:47, 1.52s/it]
95%|ββββββββββ| 537/567 [19:37<00:53, 1.77s/it]
95%|ββββββββββ| 538/567 [19:38<00:47, 1.63s/it]
95%|ββββββββββ| 539/567 [19:45<01:27, 3.13s/it]
95%|ββββββββββ| 540/567 [19:51<01:45, 3.90s/it]
95%|ββββββββββ| 541/567 [19:54<01:40, 3.86s/it]
96%|ββββββββββ| 542/567 [19:56<01:22, 3.31s/it]
96%|ββββββββββ| 543/567 [20:04<01:54, 4.77s/it]
96%|ββββββββββ| 544/567 [20:05<01:19, 3.46s/it]
96%|ββββββββββ| 545/567 [20:07<01:06, 3.02s/it]
96%|ββββββββββ| 546/567 [20:09<00:56, 2.68s/it]
96%|ββββββββββ| 547/567 [20:10<00:42, 2.11s/it]
97%|ββββββββββ| 548/567 [20:11<00:34, 1.79s/it]
97%|ββββββββββ| 549/567 [20:12<00:28, 1.56s/it]
97%|ββββββββββ| 550/567 [20:13<00:26, 1.55s/it]
97%|ββββββββββ| 551/567 [20:15<00:26, 1.68s/it]
97%|ββββββββββ| 552/567 [20:19<00:33, 2.24s/it]
98%|ββββββββββ| 553/567 [20:20<00:27, 1.94s/it]
98%|ββββββββββ| 554/567 [20:21<00:22, 1.70s/it]
98%|ββββββββββ| 555/567 [20:22<00:18, 1.54s/it]
98%|ββββββββββ| 556/567 [20:23<00:14, 1.35s/it]
98%|ββββββββββ| 557/567 [20:26<00:17, 1.75s/it]
98%|ββββββββββ| 558/567 [20:27<00:15, 1.70s/it]
99%|ββββββββββ| 559/567 [20:31<00:18, 2.37s/it]
99%|ββββββββββ| 560/567 [20:34<00:17, 2.47s/it]
99%|ββββββββββ| 561/567 [20:35<00:12, 2.00s/it]
99%|ββββββββββ| 562/567 [20:39<00:13, 2.65s/it]
99%|ββββββββββ| 563/567 [20:41<00:10, 2.57s/it]
99%|ββββββββββ| 564/567 [20:45<00:08, 2.71s/it]
100%|ββββββββββ| 565/567 [20:46<00:04, 2.32s/it]
100%|ββββββββββ| 566/567 [20:48<00:02, 2.33s/it]
100%|ββββββββββ| 567/567 [20:49<00:00, 1.79s/it]
100%|ββββββββββ| 567/567 [20:49<00:00, 2.20s/it]
Batch output: ['Old Geng raised his gun, narrowed one eye, and pulled the trigger. The gold sparrow fell like hail, and the iron sand flew through the willow branches, making a rattling sound.', 'Next morning, before it was light, Grannie Liu was up and about, combing her hair and washing her face, and then she gave Ban-er a few words of advice. The child, who was only five, was delighted at the prospect of going into town with her and promised to do everything she told him.']
shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.00 metrics: {'meteor': 0.4344117697389956, 'bleu_scores': {'bleu': 0.15359736104235755, 'precisions': [0.4835072188850248, 0.20926318870271457, 0.11036904171278097, 0.06349459578032146], 'brevity_penalty': 0.9412690854695457, 'length_ratio': 0.9429281218946671, 'translation_length': 28467, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.4668929371180845, 'rouge2': 0.22463647907176995, 'rougeL': 0.40906714911883335, 'rougeLsum': 0.4089854579887023}, 'accuracy': 0.0088261253309797, 'correct_ids': [77, 199, 240, 348, 413, 493, 659, 778, 893, 1011]}
(3) GPU = NVIDIA L40. Max memory = 44.309 GB.
43.494 GB of memory reserved.
Job ID: 76825
Cluster: crimson
User/Group: dh.huang.2023/dh.huang.2023
State: COMPLETED (exit code 0)
Nodes: 1
Cores per node: 10
CPU Utilized: 01:31:24
CPU Efficiency: 9.88% of 15:25:30 core-walltime
Job Wall-clock time: 01:32:33
Memory Utilized: 5.00 GB
Memory Efficiency: 1.95% of 256.00 GB
|