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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 | |
Thu Oct 17 08:40:02 2024 | |
+-----------------------------------------------------------------------------------------+ | |
| NVIDIA-SMI 550.90.12 Driver Version: 550.90.12 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 L40S On | 00000000:01:00.0 Off | 0 | | |
| N/A 33C P8 33W / 350W | 1MiB / 46068MiB | 0% Default | | |
| | | N/A | | |
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+-----------------------------------------------------------------------------------------+ | |
| Processes: | | |
| GPU GI CI PID Type Process name GPU Memory | | |
| ID ID Usage | | |
|=========================================================================================| | |
| No running processes found | | |
+-----------------------------------------------------------------------------------------+ | |
Linux lotus 4.18.0-553.22.1.el8_10.x86_64 #1 SMP Wed Sep 25 09:20:43 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: 17 | |
Model name: AMD EPYC 9554 64-Core Processor | |
Stepping: 1 | |
CPU MHz: 3100.000 | |
CPU max MHz: 3762.9880 | |
CPU min MHz: 1500.0000 | |
BogoMIPS: 6190.69 | |
Virtualization: AMD-V | |
L1d cache: 32K | |
L1i cache: 32K | |
L2 cache: 1024K | |
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 amd_lbr_v2 nopl nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic 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 perfmon_v2 ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local avx512_bf16 clzero irperf xsaveerptr wbnoinvd amd_ppin cppc arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor smca fsrm flush_l1d | |
MemTotal: 527521804 kB | |
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 | |
Fetching 5 files: 0%| | 0/5 [00:00<?, ?it/s] Fetching 5 files: 100%|ββββββββββ| 5/5 [00:00<00:00, 74631.74it/s] | |
Lightning automatically upgraded your loaded checkpoint from v1.8.3.post1 to v2.4.0. To apply the upgrade to your files permanently, run `python -m pytorch_lightning.utilities.upgrade_checkpoint ../../../../../../../scratch/users/d/dh.huang.2023/transformers/hub/models--Unbabel--wmt22-comet-da/snapshots/371e9839ca4e213dde891b066cf3080f75ec7e72/checkpoints/model.ckpt` | |
/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/transformers/tokenization_utils_base.py:1617: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be deprecated in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884 | |
warnings.warn( | |
Encoder model frozen. | |
/common/home/users/d/dh.huang.2023/.conda/envs/llm-perf-bench/lib/python3.11/site-packages/pytorch_lightning/core/saving.py:195: Found keys that are not in the model state dict but in the checkpoint: ['encoder.model.embeddings.position_ids'] | |
We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk). | |
CUDA is available, we have found 1 GPU(s) | |
NVIDIA L40S | |
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_rpp_with_mnt_2048_generic_prompt.csv False 2048 1 | |
(0) GPU = NVIDIA L40S. Max memory = 44.521 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 [00:02<00:06, 2.28s/it] Loading checkpoint shards: 50%|βββββ | 2/4 [00:04<00:04, 2.32s/it] Loading checkpoint shards: 75%|ββββββββ | 3/4 [00:06<00:02, 2.23s/it] Loading checkpoint shards: 100%|ββββββββββ| 4/4 [00:07<00:00, 1.61s/it] Loading checkpoint shards: 100%|ββββββββββ| 4/4 [00:07<00:00, 1.85s/it] | |
(2) GPU = NVIDIA L40S. Max memory = 44.521 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: 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: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: 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: | |
-------------------------------------------------- | |
chinese: ε―ΉζδΈε»δΉδΈθ½ζΎζΎγ | |
-------------------------------------------------- | |
english: People shouldn't let up on me for a minute. | |
-------------------------------------------------- | |
text: 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:People shouldn't let up on me for a minute.<|eot_id|> | |
-------------------------------------------------- | |
prompt: 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: | |
Evaluating model: shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105 on cuda | |
*** Evaluating with repetition_penalty: 1.06 | |
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243.70s/it] 12%|ββ | 131/1133 [8:14:20<68:22:38, 245.67s/it] 12%|ββ | 132/1133 [8:18:26<68:21:59, 245.87s/it] 12%|ββ | 133/1133 [8:22:32<68:16:39, 245.80s/it] 12%|ββ | 134/1133 [8:26:33<67:50:10, 244.45s/it] 12%|ββ | 135/1133 [8:30:51<68:49:58, 248.30s/it] 12%|ββ | 136/1133 [8:34:54<68:21:58, 246.86s/it] 12%|ββ | 137/1133 [8:39:01<68:16:45, 246.79s/it] 12%|ββ | 138/1133 [8:43:05<67:59:51, 246.02s/it] 12%|ββ | 139/1133 [8:47:10<67:49:45, 245.66s/it] 12%|ββ | 140/1133 [8:51:17<67:54:09, 246.17s/it] 12%|ββ | 141/1133 [8:55:23<67:47:28, 246.02s/it] 13%|ββ | 142/1133 [8:59:27<67:33:26, 245.42s/it] 13%|ββ | 143/1133 [9:03:33<67:33:05, 245.64s/it] 13%|ββ | 144/1133 [9:07:39<67:30:53, 245.76s/it] 13%|ββ | 145/1133 [9:11:42<67:10:58, 244.80s/it] 13%|ββ | 146/1133 [9:15:45<66:58:34, 244.29s/it] 13%|ββ | 147/1133 [9:15:45<46:54:18, 171.26s/it] 13%|ββ | 148/1133 [9:19:49<52:46:31, 192.88s/it] 13%|ββ | 149/1133 [9:23:55<57:03:55, 208.78s/it] 13%|ββ | 150/1133 [9:28:01<60:03:47, 219.97s/it] 13%|ββ | 151/1133 [9:32:10<62:22:49, 228.69s/it] 13%|ββ | 152/1133 [9:36:14<63:37:23, 233.48s/it] 14%|ββ | 153/1133 [9:40:19<64:28:58, 236.88s/it] 14%|ββ | 154/1133 [9:44:24<65:04:06, 239.27s/it] 14%|ββ | 155/1133 [9:48:31<65:35:20, 241.43s/it] 14%|ββ | 156/1133 [9:48:32<45:56:47, 169.30s/it] 14%|ββ | 157/1133 [9:52:41<52:24:14, 193.29s/it] 14%|ββ | 158/1133 [9:52:42<36:45:30, 135.72s/it] 14%|ββ | 159/1133 [9:56:47<45:31:50, 168.29s/it] 14%|ββ | 160/1133 [10:00:52<51:44:51, 191.46s/it] 14%|ββ | 161/1133 [10:04:56<55:56:07, 207.17s/it] 14%|ββ | 162/1133 [10:09:01<58:58:14, 218.63s/it] 14%|ββ | 163/1133 [10:13:08<61:12:09, 227.14s/it] 14%|ββ | 164/1133 [10:13:09<42:50:02, 159.14s/it] 15%|ββ | 165/1133 [10:17:13<49:41:10, 184.78s/it] 15%|ββ | 166/1133 [10:21:22<54:47:28, 203.98s/it] 15%|ββ | 167/1133 [10:21:23<38:22:24, 143.01s/it] 15%|ββ | 168/1133 [10:25:29<46:39:54, 174.09s/it] 15%|ββ | 169/1133 [10:29:34<52:17:27, 195.28s/it] 15%|ββ | 170/1133 [10:33:40<56:17:47, 210.45s/it] 15%|ββ | 171/1133 [10:37:44<58:55:31, 220.51s/it] 15%|ββ | 172/1133 [10:41:48<60:46:31, 227.67s/it] 15%|ββ | 173/1133 [10:45:54<62:07:21, 232.96s/it] 15%|ββ | 174/1133 [10:49:57<62:54:30, 236.15s/it] 15%|ββ | 175/1133 [10:54:02<63:29:40, 238.60s/it] 16%|ββ | 176/1133 [10:58:06<63:51:35, 240.23s/it] 16%|ββ | 177/1133 [11:02:09<64:04:05, 241.26s/it] 16%|ββ | 178/1133 [11:06:23<65:01:35, 245.13s/it] 16%|ββ | 179/1133 [11:10:26<64:47:07, 244.47s/it] 16%|ββ | 180/1133 [11:14:32<64:49:44, 244.89s/it] 16%|ββ | 181/1133 [11:18:39<64:53:16, 245.37s/it] 16%|ββ | 182/1133 [11:22:52<65:24:30, 247.60s/it] 16%|ββ | 183/1133 [11:26:59<65:17:31, 247.42s/it] 16%|ββ | 184/1133 [11:31:04<65:03:00, 246.77s/it] 16%|ββ | 185/1133 [11:35:09<64:51:05, 246.27s/it] 16%|ββ | 186/1133 [11:39:14<64:42:30, 245.99s/it] 17%|ββ | 187/1133 [11:43:25<64:59:16, 247.31s/it] 17%|ββ | 188/1133 [11:47:34<65:06:21, 248.02s/it] 17%|ββ | 189/1133 [11:51:39<64:44:32, 246.90s/it] 17%|ββ | 190/1133 [11:55:45<64:35:59, 246.62s/it] 17%|ββ | 191/1133 [11:59:50<64:28:23, 246.39s/it] 17%|ββ | 192/1133 [12:03:58<64:31:36, 246.86s/it] 17%|ββ | 193/1133 [12:03:59<45:12:16, 173.12s/it] 17%|ββ | 194/1133 [12:08:04<50:46:34, 194.67s/it] 17%|ββ | 195/1133 [12:12:09<54:36:14, 209.57s/it] 17%|ββ | 196/1133 [12:16:13<57:15:58, 220.02s/it] 17%|ββ | 197/1133 [12:20:21<59:21:39, 228.31s/it] 17%|ββ | 198/1133 [12:24:25<60:32:16, 233.09s/it] 18%|ββ | 199/1133 [12:28:36<61:50:02, 238.33s/it] 18%|ββ | 200/1133 [12:32:38<62:05:49, 239.60s/it] 18%|ββ | 201/1133 [12:36:44<62:28:27, 241.32s/it] 18%|ββ | 202/1133 [12:40:47<62:35:11, 242.01s/it] 18%|ββ | 203/1133 [12:44:51<62:40:50, 242.64s/it] 18%|ββ | 204/1133 [12:49:01<63:10:42, 244.82s/it] 18%|ββ | 205/1133 [12:53:03<62:51:24, 243.84s/it] 18%|ββ | 206/1133 [12:57:08<62:54:09, 244.28s/it] 18%|ββ | 207/1133 [13:01:15<63:04:43, 245.23s/it] 18%|ββ | 208/1133 [13:05:27<63:27:53, 247.00s/it] 18%|ββ | 209/1133 [13:09:49<64:36:19, 251.71s/it] 19%|ββ | 210/1133 [13:09:54<45:31:57, 177.59s/it] 19%|ββ | 211/1133 [13:14:04<51:00:54, 199.19s/it] 19%|ββ | 212/1133 [13:18:13<54:50:20, 214.35s/it] 19%|ββ | 213/1133 [13:22:19<57:09:26, 223.66s/it] 19%|ββ | 214/1133 [13:26:22<58:38:26, 229.71s/it] 19%|ββ | 215/1133 [13:26:23<41:03:54, 161.04s/it] 19%|ββ | 216/1133 [13:30:45<48:41:14, 191.14s/it] 19%|ββ | 217/1133 [13:34:49<52:41:43, 207.10s/it] 19%|ββ | 218/1133 [13:38:53<55:28:31, 218.26s/it] 19%|ββ | 219/1133 [13:38:54<38:49:37, 152.93s/it] 19%|ββ | 220/1133 [13:43:01<45:55:48, 181.10s/it] 20%|ββ | 221/1133 [13:47:17<51:35:59, 203.68s/it] 20%|ββ | 222/1133 [13:47:18<36:09:26, 142.88s/it] 20%|ββ | 223/1133 [13:51:28<44:14:09, 175.00s/it] 20%|ββ | 224/1133 [13:55:31<49:22:32, 195.55s/it] 20%|ββ | 225/1133 [13:59:37<53:07:38, 210.64s/it] 20%|ββ | 226/1133 [14:03:49<56:09:02, 222.87s/it] 20%|ββ | 227/1133 [14:03:50<39:19:40, 156.27s/it] 20%|ββ | 228/1133 [14:03:50<27:33:27, 109.62s/it] 20%|ββ | 229/1133 [14:08:00<38:03:29, 151.56s/it] 20%|ββ | 230/1133 [14:12:06<45:09:18, 180.02s/it] 20%|ββ | 231/1133 [14:16:12<50:01:52, 199.68s/it] 20%|ββ | 232/1133 [14:20:20<53:35:58, 214.16s/it] 21%|ββ | 233/1133 [14:24:28<56:06:35, 224.44s/it] 21%|ββ | 234/1133 [14:28:35<57:42:02, 231.06s/it] 21%|ββ | 235/1133 [14:32:38<58:34:04, 234.79s/it] 21%|ββ | 236/1133 [14:32:39<41:03:00, 164.75s/it] 21%|ββ | 237/1133 [14:36:55<47:46:46, 191.97s/it] 21%|ββ | 238/1133 [14:41:01<51:46:18, 208.24s/it] 21%|ββ | 239/1133 [14:45:06<54:27:44, 219.31s/it] 21%|ββ | 240/1133 [14:49:13<56:28:20, 227.66s/it] 21%|βββ | 241/1133 [14:53:17<57:35:53, 232.46s/it] 21%|βββ | 242/1133 [14:57:22<58:28:52, 236.29s/it] 21%|βββ | 243/1133 [14:57:26<41:11:54, 166.65s/it] 22%|βββ | 244/1133 [15:01:31<46:54:24, 189.95s/it] 22%|βββ | 245/1133 [15:05:40<51:12:58, 207.63s/it] 22%|βββ | 246/1133 [15:09:46<53:59:08, 219.11s/it] 22%|βββ | 247/1133 [15:13:50<55:49:20, 226.82s/it] 22%|βββ | 248/1133 [15:17:57<57:12:52, 232.74s/it] 22%|βββ | 249/1133 [15:17:58<40:02:53, 163.09s/it] 22%|βββ | 250/1133 [15:22:05<46:12:14, 188.37s/it] 22%|βββ | 251/1133 [15:26:14<50:35:07, 206.47s/it] 22%|βββ | 252/1133 [15:26:14<35:24:18, 144.68s/it] 22%|βββ | 253/1133 [15:26:21<25:16:36, 103.40s/it] 22%|βββ | 254/1133 [15:30:28<35:45:32, 146.45s/it] 23%|βββ | 255/1133 [15:34:37<43:12:17, 177.15s/it] 23%|βββ | 256/1133 [15:38:49<48:39:07, 199.71s/it] 23%|βββ | 257/1133 [15:42:54<51:53:19, 213.24s/it] 23%|βββ | 258/1133 [15:47:04<54:30:34, 224.27s/it] 23%|βββ | 259/1133 [15:51:13<56:17:04, 231.84s/it] 23%|βββ | 260/1133 [15:55:36<58:26:37, 241.00s/it] 23%|βββ | 261/1133 [15:59:51<59:23:27, 245.19s/it] 23%|βββ | 262/1133 [16:03:57<59:25:00, 245.58s/it] 23%|βββ | 263/1133 [16:08:17<60:22:09, 249.80s/it] 23%|βββ | 264/1133 [16:12:24<60:03:51, 248.83s/it] 23%|βββ | 265/1133 [16:16:47<61:04:40, 253.32s/it] 23%|βββ | 266/1133 [16:20:56<60:39:55, 251.90s/it] 24%|βββ | 267/1133 [16:25:05<60:23:16, 251.04s/it] 24%|βββ | 268/1133 [16:29:27<61:05:41, 254.27s/it] 24%|βββ | 269/1133 [16:33:34<60:30:02, 252.09s/it] 24%|βββ | 270/1133 [16:37:39<59:55:18, 249.96s/it] 24%|βββ | 271/1133 [16:37:40<41:57:14, 175.21s/it] 24%|βββ | 272/1133 [16:37:41<29:24:34, 122.97s/it] 24%|βββ | 273/1133 [16:41:45<38:02:51, 159.27s/it] 24%|βββ | 274/1133 [16:45:53<44:22:52, 186.00s/it] 24%|βββ | 275/1133 [16:49:58<48:32:55, 203.70s/it] 24%|βββ | 276/1133 [16:54:03<51:24:42, 215.97s/it] 24%|βββ | 277/1133 [16:58:09<53:32:35, 225.18s/it] 25%|βββ | 278/1133 [17:02:18<55:11:28, 232.38s/it] 25%|βββ | 279/1133 [17:06:27<56:15:36, 237.16s/it] 25%|βββ | 280/1133 [17:10:34<56:55:18, 240.23s/it] 25%|βββ | 281/1133 [17:14:43<57:27:18, 242.77s/it] 25%|βββ | 282/1133 [17:18:46<57:22:54, 242.74s/it] 25%|βββ | 283/1133 [17:18:46<40:08:49, 170.03s/it] 25%|βββ | 284/1133 [17:22:52<45:30:57, 193.00s/it] 25%|βββ | 285/1133 [17:26:59<49:13:56, 209.01s/it] 25%|βββ | 286/1133 [17:31:04<51:41:59, 219.74s/it] 25%|βββ | 287/1133 [17:35:09<53:26:48, 227.43s/it] 25%|βββ | 288/1133 [17:39:14<54:36:17, 232.64s/it] 26%|βββ | 289/1133 [17:43:18<55:22:51, 236.22s/it] 26%|βββ | 290/1133 [17:47:27<56:11:01, 239.93s/it] 26%|βββ | 291/1133 [17:51:36<56:43:47, 242.55s/it] 26%|βββ | 292/1133 [17:55:40<56:47:52, 243.13s/it] 26%|βββ | 293/1133 [17:59:53<57:26:31, 246.18s/it] 26%|βββ | 294/1133 [18:03:58<57:16:35, 245.76s/it] 26%|βββ | 295/1133 [18:08:08<57:29:00, 246.95s/it] 26%|βββ | 296/1133 [18:12:16<57:29:29, 247.28s/it] 26%|βββ | 297/1133 [18:12:17<40:14:48, 173.31s/it] 26%|βββ | 298/1133 [18:16:21<45:06:53, 194.51s/it] 26%|βββ | 299/1133 [18:20:22<48:19:46, 208.62s/it] 26%|βββ | 300/1133 [18:24:26<50:41:10, 219.05s/it] 27%|βββ | 301/1133 [18:24:26<35:26:58, 153.39s/it] 27%|βββ | 302/1133 [18:28:27<41:31:24, 179.88s/it] 27%|βββ | 303/1133 [18:32:31<45:53:18, 199.03s/it] 27%|βββ | 304/1133 [18:36:40<49:14:36, 213.84s/it] 27%|βββ | 305/1133 [18:40:46<51:23:56, 223.47s/it] 27%|βββ | 306/1133 [18:44:55<53:07:33, 231.26s/it] 27%|βββ | 307/1133 [18:44:55<37:10:43, 162.04s/it] 27%|βββ | 308/1133 [18:44:56<26:03:00, 113.67s/it] 27%|βββ | 309/1133 [18:49:03<35:07:59, 153.49s/it] 27%|βββ | 310/1133 [18:53:06<41:16:25, 180.54s/it] 27%|βββ | 311/1133 [18:57:13<45:47:12, 200.53s/it] 28%|βββ | 312/1133 [19:01:21<48:54:44, 214.48s/it] 28%|βββ | 313/1133 [19:05:29<51:11:07, 224.72s/it] 28%|βββ | 314/1133 [19:09:33<52:26:59, 230.55s/it] 28%|βββ | 315/1133 [19:13:49<54:04:57, 238.02s/it] 28%|βββ | 316/1133 [19:17:55<54:32:41, 240.34s/it] 28%|βββ | 317/1133 [19:22:01<54:54:04, 242.21s/it] 28%|βββ | 318/1133 [19:26:05<54:55:27, 242.61s/it] 28%|βββ | 319/1133 [19:30:18<55:34:25, 245.78s/it] 28%|βββ | 320/1133 [19:34:24<55:33:48, 246.04s/it] 28%|βββ | 321/1133 [19:38:29<55:25:19, 245.71s/it] 28%|βββ | 322/1133 [19:38:30<38:46:24, 172.11s/it] 29%|βββ | 323/1133 [19:42:37<43:46:29, 194.55s/it] 29%|βββ | 324/1133 [19:46:44<47:16:53, 210.40s/it] 29%|βββ | 325/1133 [19:50:50<49:37:40, 221.11s/it] 29%|βββ | 326/1133 [19:54:55<51:08:11, 228.12s/it] 29%|βββ | 327/1133 [19:59:07<52:40:28, 235.27s/it] 29%|βββ | 328/1133 [19:59:09<36:59:21, 165.42s/it] 29%|βββ | 329/1133 [20:03:19<42:34:57, 190.67s/it] 29%|βββ | 330/1133 [20:07:22<46:05:08, 206.61s/it] 29%|βββ | 331/1133 [20:11:30<48:45:21, 218.85s/it] 29%|βββ | 332/1133 [20:11:31<34:11:12, 153.65s/it] 29%|βββ | 333/1133 [20:15:37<40:18:30, 181.39s/it] 29%|βββ | 334/1133 [20:19:50<44:57:46, 202.59s/it] 30%|βββ | 335/1133 [20:23:54<47:43:15, 215.28s/it] 30%|βββ | 336/1133 [20:28:01<49:42:59, 224.57s/it] 30%|βββ | 337/1133 [20:32:05<50:58:35, 230.55s/it] 30%|βββ | 338/1133 [20:36:14<52:09:15, 236.17s/it] 30%|βββ | 339/1133 [20:40:20<52:41:57, 238.94s/it] 30%|βββ | 340/1133 [20:44:27<53:09:05, 241.29s/it] 30%|βββ | 341/1133 [20:48:36<53:35:07, 243.57s/it] 30%|βββ | 342/1133 [20:48:36<37:30:05, 170.68s/it] 30%|βββ | 343/1133 [20:52:38<42:08:31, 192.04s/it] 30%|βββ | 344/1133 [20:56:47<45:51:52, 209.27s/it] 30%|βββ | 345/1133 [21:00:52<48:05:49, 219.73s/it] 31%|βββ | 346/1133 [21:04:56<49:41:00, 227.27s/it] 31%|βββ | 347/1133 [21:09:01<50:43:16, 232.31s/it] 31%|βββ | 348/1133 [21:13:08<51:39:51, 236.93s/it] 31%|βββ | 349/1133 [21:17:11<51:58:26, 238.66s/it] 31%|βββ | 350/1133 [21:21:20<52:34:32, 241.73s/it] 31%|βββ | 351/1133 [21:25:25<52:42:19, 242.63s/it] 31%|βββ | 352/1133 [21:29:32<52:55:24, 243.95s/it] 31%|βββ | 353/1133 [21:33:42<53:16:21, 245.87s/it] 31%|βββ | 354/1133 [21:37:45<52:59:18, 244.88s/it] 31%|ββββ | 355/1133 [21:41:49<52:52:27, 244.66s/it] 31%|ββββ | 356/1133 [21:45:54<52:50:46, 244.85s/it] 32%|ββββ | 357/1133 [21:50:03<53:03:48, 246.17s/it] 32%|ββββ | 358/1133 [21:54:13<53:13:01, 247.20s/it] 32%|ββββ | 359/1133 [21:58:17<52:55:45, 246.18s/it] 32%|ββββ | 360/1133 [22:02:24<52:57:29, 246.64s/it] 32%|ββββ | 361/1133 [22:06:32<52:55:35, 246.81s/it] 32%|ββββ | 362/1133 [22:06:32<37:03:23, 173.03s/it] 32%|ββββ | 363/1133 [22:10:36<41:32:53, 194.25s/it] 32%|ββββ | 364/1133 [22:14:40<44:39:57, 209.10s/it] 32%|ββββ | 365/1133 [22:18:44<46:50:12, 219.55s/it] 32%|ββββ | 366/1133 [22:22:46<48:12:03, 226.24s/it] 32%|ββββ | 367/1133 [22:26:54<49:34:07, 232.96s/it] 32%|ββββ | 368/1133 [22:30:59<50:16:52, 236.62s/it] 33%|ββββ | 369/1133 [22:35:05<50:46:00, 239.22s/it] 33%|ββββ | 370/1133 [22:35:06<35:33:22, 167.76s/it] 33%|ββββ | 371/1133 [22:39:08<40:15:10, 190.17s/it] 33%|ββββ | 372/1133 [22:43:28<44:38:27, 211.18s/it] 33%|ββββ | 373/1133 [22:47:35<46:50:17, 221.86s/it] 33%|ββββ | 374/1133 [22:47:36<32:46:10, 155.43s/it] 33%|ββββ | 375/1133 [22:47:36<22:55:53, 108.91s/it] 33%|ββββ | 376/1133 [22:51:42<31:31:05, 149.89s/it] 33%|ββββ | 377/1133 [22:55:46<37:27:54, 178.41s/it] 33%|ββββ | 378/1133 [22:59:54<41:44:29, 199.03s/it] 33%|ββββ | 379/1133 [23:03:58<44:32:53, 212.70s/it] 34%|ββββ | 380/1133 [23:08:03<46:31:17, 222.41s/it] 34%|ββββ | 381/1133 [23:12:17<48:25:40, 231.84s/it] 34%|ββββ | 382/1133 [23:12:58<36:24:41, 174.54s/it] 34%|ββββ | 383/1133 [23:17:07<41:02:53, 197.03s/it] 34%|ββββ | 384/1133 [23:21:14<44:03:47, 211.79s/it] 34%|ββββ | 385/1133 [23:21:16<30:58:15, 149.06s/it] 34%|ββββ | 386/1133 [23:25:36<37:48:12, 182.19s/it] 34%|ββββ | 387/1133 [23:25:36<26:27:56, 127.72s/it] 34%|ββββ | 388/1133 [23:29:42<33:43:52, 163.00s/it] 34%|ββββ | 389/1133 [23:33:49<38:53:31, 188.19s/it] 34%|ββββ | 390/1133 [23:37:55<42:24:58, 205.52s/it] 35%|ββββ | 391/1133 [23:41:57<44:38:41, 216.61s/it] 35%|ββββ | 392/1133 [23:46:06<46:33:12, 226.17s/it] 35%|ββββ | 393/1133 [23:50:16<47:59:59, 233.51s/it] 35%|ββββ | 394/1133 [23:54:22<48:39:34, 237.04s/it] 35%|ββββ | 395/1133 [23:58:35<49:35:37, 241.92s/it] 35%|ββββ | 396/1133 [24:02:42<49:49:32, 243.38s/it] 35%|ββββ | 397/1133 [24:06:47<49:52:56, 243.99s/it] 35%|ββββ | 398/1133 [24:10:56<50:06:25, 245.42s/it] 35%|ββββ | 399/1133 [24:15:01<50:02:58, 245.48s/it] 35%|ββββ | 400/1133 [24:19:09<50:07:38, 246.19s/it] 35%|ββββ | 401/1133 [24:23:13<49:52:53, 245.32s/it] 35%|ββββ | 402/1133 [24:23:13<34:54:41, 171.93s/it] 36%|ββββ | 403/1133 [24:27:19<39:22:04, 194.14s/it] 36%|ββββ | 404/1133 [24:31:26<42:29:31, 209.84s/it] 36%|ββββ | 405/1133 [24:35:31<44:35:45, 220.53s/it] 36%|ββββ | 406/1133 [24:39:34<45:54:28, 227.33s/it] 36%|ββββ | 407/1133 [24:43:40<46:55:58, 232.72s/it] 36%|ββββ | 408/1133 [24:47:44<47:33:56, 236.19s/it] 36%|ββββ | 409/1133 [24:51:52<48:12:48, 239.74s/it] 36%|ββββ | 410/1133 [24:55:55<48:20:37, 240.72s/it] 36%|ββββ | 411/1133 [25:00:06<48:53:48, 243.81s/it] 36%|ββββ | 412/1133 [25:04:15<49:07:26, 245.28s/it] 36%|ββββ | 413/1133 [25:08:21<49:06:52, 245.57s/it] 37%|ββββ | 414/1133 [25:12:24<48:54:00, 244.84s/it] 37%|ββββ | 415/1133 [25:16:36<49:13:23, 246.80s/it] 37%|ββββ | 416/1133 [25:20:47<49:24:45, 248.10s/it] 37%|ββββ | 417/1133 [25:24:51<49:08:06, 247.05s/it] 37%|ββββ | 418/1133 [25:28:56<48:55:40, 246.35s/it] 37%|ββββ | 419/1133 [25:33:04<48:59:07, 246.99s/it] 37%|ββββ | 420/1133 [25:37:08<48:41:03, 245.81s/it] 37%|ββββ | 421/1133 [25:41:15<48:42:18, 246.26s/it] 37%|ββββ | 422/1133 [25:45:24<48:47:43, 247.06s/it] 37%|ββββ | 423/1133 [25:49:30<48:41:03, 246.85s/it] 37%|ββββ | 424/1133 [25:49:31<34:06:32, 173.19s/it] 38%|ββββ | 425/1133 [25:49:33<23:55:40, 121.67s/it] 38%|ββββ | 426/1133 [25:53:41<31:20:13, 159.57s/it] 38%|ββββ | 427/1133 [25:57:43<36:10:03, 184.42s/it] 38%|ββββ | 428/1133 [26:01:51<39:49:28, 203.36s/it] 38%|ββββ | 429/1133 [26:05:57<42:17:51, 216.29s/it] 38%|ββββ | 430/1133 [26:10:04<44:01:03, 225.41s/it] 38%|ββββ | 431/1133 [26:14:09<45:04:54, 231.19s/it] 38%|ββββ | 432/1133 [26:18:19<46:07:15, 236.86s/it] 38%|ββββ | 433/1133 [26:22:23<46:27:43, 238.95s/it] 38%|ββββ | 434/1133 [26:26:33<47:04:58, 242.49s/it] 38%|ββββ | 435/1133 [26:30:45<47:33:12, 245.26s/it] 38%|ββββ | 436/1133 [26:34:58<47:55:39, 247.55s/it] 39%|ββββ | 437/1133 [26:34:59<33:34:55, 173.70s/it] 39%|ββββ | 438/1133 [26:39:03<37:36:50, 194.84s/it] 39%|ββββ | 439/1133 [26:43:09<40:27:46, 209.89s/it] 39%|ββββ | 440/1133 [26:47:12<42:22:00, 220.09s/it] 39%|ββββ | 441/1133 [26:51:17<43:44:08, 227.53s/it] 39%|ββββ | 442/1133 [26:55:22<44:41:23, 232.83s/it] 39%|ββββ | 443/1133 [26:59:28<45:22:48, 236.77s/it] 39%|ββββ | 444/1133 [26:59:29<31:46:21, 166.01s/it] 39%|ββββ | 445/1133 [27:03:34<36:15:26, 189.72s/it] 39%|ββββ | 446/1133 [27:07:39<39:20:53, 206.19s/it] 39%|ββββ | 447/1133 [27:11:44<41:28:59, 217.70s/it] 40%|ββββ | 448/1133 [27:15:52<43:09:04, 226.78s/it] 40%|ββββ | 449/1133 [27:19:59<44:15:46, 232.96s/it] 40%|ββββ | 450/1133 [27:24:09<45:10:25, 238.11s/it] 40%|ββββ | 451/1133 [27:24:09<31:35:49, 166.79s/it] 40%|ββββ | 452/1133 [27:28:19<36:13:35, 191.51s/it] 40%|ββββ | 453/1133 [27:28:19<25:20:41, 134.18s/it] 40%|ββββ | 454/1133 [27:32:24<31:36:22, 167.57s/it] 40%|ββββ | 455/1133 [27:36:29<35:54:32, 190.67s/it] 40%|ββββ | 456/1133 [27:36:30<25:10:47, 133.90s/it] 40%|ββββ | 457/1133 [27:36:31<17:38:45, 93.97s/it] 40%|ββββ | 458/1133 [27:40:40<26:20:40, 140.50s/it] 41%|ββββ | 459/1133 [27:44:47<32:14:56, 172.25s/it] 41%|ββββ | 460/1133 [27:48:51<36:12:57, 193.73s/it] 41%|ββββ | 461/1133 [27:52:59<39:12:02, 210.00s/it] 41%|ββββ | 462/1133 [27:57:04<41:08:09, 220.70s/it] 41%|ββββ | 463/1133 [28:01:08<42:22:01, 227.64s/it] 41%|ββββ | 464/1133 [28:05:17<43:29:23, 234.03s/it] 41%|ββββ | 465/1133 [28:05:18<30:26:12, 164.03s/it] 41%|ββββ | 466/1133 [28:09:30<35:16:31, 190.39s/it] 41%|ββββ | 467/1133 [28:13:33<38:11:41, 206.46s/it] 41%|βββββ | 468/1133 [28:17:38<40:13:28, 217.76s/it] 41%|βββββ | 469/1133 [28:21:49<42:00:21, 227.74s/it] 41%|βββββ | 470/1133 [28:25:55<42:58:42, 233.37s/it] 42%|βββββ | 471/1133 [28:30:04<43:44:43, 237.89s/it] 42%|βββββ | 472/1133 [28:34:15<44:23:54, 241.81s/it] 42%|βββββ | 473/1133 [28:34:15<31:03:51, 169.44s/it] 42%|βββββ | 474/1133 [28:38:19<35:04:45, 191.63s/it] 42%|βββββ | 475/1133 [28:42:25<38:01:16, 208.02s/it] 42%|βββββ | 476/1133 [28:46:30<40:01:17, 219.30s/it] 42%|βββββ | 477/1133 [28:50:39<41:33:28, 228.06s/it] 42%|βββββ | 478/1133 [28:50:39<29:03:53, 159.75s/it] 42%|βββββ | 479/1133 [28:54:48<33:50:51, 186.32s/it] 42%|βββββ | 480/1133 [28:59:09<37:51:37, 208.72s/it] 42%|βββββ | 481/1133 [29:03:12<39:41:12, 219.13s/it] 43%|βββββ | 482/1133 [29:07:21<41:14:16, 228.04s/it] 43%|βββββ | 483/1133 [29:11:26<42:04:36, 233.04s/it] 43%|βββββ | 484/1133 [29:15:32<42:43:12, 236.97s/it] 43%|βββββ | 485/1133 [29:19:41<43:20:38, 240.80s/it] 43%|βββββ | 486/1133 [29:23:47<43:30:32, 242.09s/it] 43%|βββββ | 487/1133 [29:28:00<44:03:12, 245.50s/it] 43%|βββββ | 488/1133 [29:32:08<44:07:13, 246.25s/it] 43%|βββββ | 489/1133 [29:36:13<44:00:31, 246.01s/it] 43%|βββββ | 490/1133 [29:40:17<43:49:37, 245.38s/it] 43%|βββββ | 491/1133 [29:44:28<44:03:00, 247.01s/it] 43%|βββββ | 492/1133 [29:48:35<43:59:48, 247.10s/it] 44%|βββββ | 493/1133 [29:52:40<43:46:48, 246.26s/it] 44%|βββββ | 494/1133 [29:56:43<43:33:08, 245.37s/it] 44%|βββββ | 495/1133 [30:00:48<43:26:52, 245.16s/it] 44%|βββββ | 496/1133 [30:04:56<43:33:41, 246.19s/it] 44%|βββββ | 497/1133 [30:09:02<43:28:31, 246.09s/it] 44%|βββββ | 498/1133 [30:13:09<43:28:21, 246.46s/it] 44%|βββββ | 499/1133 [30:17:19<43:34:37, 247.44s/it] 44%|βββββ | 500/1133 [30:21:33<43:51:07, 249.40s/it] 44%|βββββ | 501/1133 [30:25:46<43:57:08, 250.36s/it] 44%|βββββ | 502/1133 [30:29:51<43:38:19, 248.97s/it] 44%|βββββ | 503/1133 [30:34:02<43:37:44, 249.31s/it] 44%|βββββ | 504/1133 [30:38:12<43:37:36, 249.69s/it] 45%|βββββ | 505/1133 [30:38:13<30:31:16, 174.96s/it] 45%|βββββ | 506/1133 [30:42:17<34:06:55, 195.88s/it] 45%|βββββ | 507/1133 [30:46:33<37:09:15, 213.67s/it] 45%|βββββ | 508/1133 [30:50:51<39:23:55, 226.94s/it] 45%|βββββ | 509/1133 [30:50:52<27:36:47, 159.31s/it] 45%|βββββ | 510/1133 [30:54:57<32:01:18, 185.04s/it] 45%|βββββ | 511/1133 [30:59:03<35:06:24, 203.19s/it] 45%|βββββ | 512/1133 [31:03:07<37:12:05, 215.66s/it] 45%|βββββ | 513/1133 [31:07:22<39:09:25, 227.36s/it] 45%|βββββ | 514/1133 [31:11:29<40:05:08, 233.13s/it] 45%|βββββ | 515/1133 [31:15:39<40:53:09, 238.17s/it] 46%|βββββ | 516/1133 [31:19:47<41:21:30, 241.31s/it] 46%|βββββ | 517/1133 [31:23:53<41:30:26, 242.58s/it] 46%|βββββ | 518/1133 [31:27:57<41:30:19, 242.96s/it] 46%|βββββ | 519/1133 [31:32:12<42:05:41, 246.81s/it] 46%|βββββ | 520/1133 [31:36:20<42:02:28, 246.90s/it] 46%|βββββ | 521/1133 [31:40:27<41:59:42, 247.03s/it] 46%|βββββ | 522/1133 [31:40:27<29:21:26, 172.97s/it] 46%|βββββ | 523/1133 [31:44:35<33:06:16, 195.37s/it] 46%|βββββ | 524/1133 [31:48:46<35:54:46, 212.29s/it] 46%|βββββ | 525/1133 [31:48:47<25:08:24, 148.86s/it] 46%|βββββ | 526/1133 [31:52:52<29:57:05, 177.64s/it] 47%|βββββ | 527/1133 [31:56:53<33:05:48, 196.62s/it] 47%|βββββ | 528/1133 [32:00:55<35:18:45, 210.12s/it] 47%|βββββ | 529/1133 [32:05:09<37:28:22, 223.35s/it] 47%|βββββ | 530/1133 [32:09:11<38:22:44, 229.13s/it] 47%|βββββ | 531/1133 [32:13:18<39:12:17, 234.45s/it] 47%|βββββ | 532/1133 [32:17:21<39:34:40, 237.07s/it] 47%|βββββ | 533/1133 [32:21:28<39:58:08, 239.81s/it] 47%|βββββ | 534/1133 [32:21:28<27:57:08, 167.99s/it] 47%|βββββ | 535/1133 [32:25:32<31:42:30, 190.89s/it] 47%|βββββ | 536/1133 [32:29:45<34:44:47, 209.53s/it] 47%|βββββ | 537/1133 [32:29:46<24:18:40, 146.85s/it] 47%|βββββ | 538/1133 [32:33:56<29:23:49, 177.86s/it] 48%|βββββ | 539/1133 [32:38:01<32:40:52, 198.07s/it] 48%|βββββ | 540/1133 [32:38:02<22:51:37, 138.78s/it] 48%|βββββ | 541/1133 [32:42:13<28:22:33, 172.56s/it] 48%|βββββ | 542/1133 [32:46:18<31:53:31, 194.27s/it] 48%|βββββ | 543/1133 [32:50:22<34:16:38, 209.15s/it] 48%|βββββ | 544/1133 [32:54:28<36:02:27, 220.28s/it] 48%|βββββ | 545/1133 [32:54:29<25:13:44, 154.46s/it] 48%|βββββ | 546/1133 [32:54:53<18:46:31, 115.15s/it] 48%|βββββ | 547/1133 [32:58:57<25:03:58, 153.99s/it] 48%|βββββ | 548/1133 [32:58:58<17:32:23, 107.94s/it] 48%|βββββ | 549/1133 [32:58:59<12:17:46, 75.80s/it] 49%|βββββ | 550/1133 [33:03:05<20:34:00, 127.00s/it] 49%|βββββ | 551/1133 [33:07:11<26:18:17, 162.71s/it] 49%|βββββ | 552/1133 [33:11:14<30:09:09, 186.83s/it] 49%|βββββ | 553/1133 [33:15:22<33:03:44, 205.21s/it] 49%|βββββ | 554/1133 [33:15:23<23:07:26, 143.78s/it] 49%|βββββ | 555/1133 [33:19:26<27:53:54, 173.76s/it] 49%|βββββ | 556/1133 [33:23:30<31:12:04, 194.67s/it] 49%|βββββ | 557/1133 [33:27:43<33:56:30, 212.14s/it] 49%|βββββ | 558/1133 [33:31:49<35:30:20, 222.30s/it] 49%|βββββ | 559/1133 [33:35:58<36:44:29, 230.44s/it] 49%|βββββ | 560/1133 [33:40:05<37:28:22, 235.43s/it] 50%|βββββ | 561/1133 [33:44:08<37:45:10, 237.61s/it] 50%|βββββ | 562/1133 [33:48:12<38:00:20, 239.62s/it] 50%|βββββ | 563/1133 [33:52:16<38:07:24, 240.78s/it] 50%|βββββ | 564/1133 [33:52:17<26:40:48, 168.80s/it] 50%|βββββ | 565/1133 [33:56:29<30:34:53, 193.83s/it] 50%|βββββ | 566/1133 [34:00:34<32:56:11, 209.12s/it] 50%|βββββ | 567/1133 [34:04:38<34:33:06, 219.76s/it] 50%|βββββ | 568/1133 [34:08:41<35:34:06, 226.63s/it] 50%|βββββ | 569/1133 [34:12:44<36:16:35, 231.55s/it] 50%|βββββ | 570/1133 [34:16:50<36:54:36, 236.02s/it] 50%|βββββ | 571/1133 [34:20:55<37:13:41, 238.47s/it] 50%|βββββ | 572/1133 [34:24:57<37:21:58, 239.78s/it] 51%|βββββ | 573/1133 [34:29:03<37:34:24, 241.54s/it] 51%|βββββ | 574/1133 [34:33:14<37:55:21, 244.22s/it] 51%|βββββ | 575/1133 [34:37:15<37:43:23, 243.37s/it] 51%|βββββ | 576/1133 [34:41:23<37:53:07, 244.86s/it] 51%|βββββ | 577/1133 [34:45:31<37:55:59, 245.61s/it] 51%|βββββ | 578/1133 [34:49:40<38:02:34, 246.76s/it] 51%|βββββ | 579/1133 [34:49:41<26:37:14, 172.99s/it] 51%|βββββ | 580/1133 [34:53:50<30:05:56, 195.94s/it] 51%|ββββββ | 581/1133 [34:53:52<21:05:23, 137.54s/it] 51%|ββββββ | 582/1133 [34:57:59<26:04:33, 170.37s/it] 51%|ββββββ | 583/1133 [35:02:02<29:22:23, 192.26s/it] 52%|ββββββ | 584/1133 [35:06:12<31:56:35, 209.46s/it] 52%|ββββββ | 585/1133 [35:10:19<33:37:13, 220.86s/it] 52%|ββββββ | 586/1133 [35:14:25<34:42:42, 228.45s/it] 52%|ββββββ | 587/1133 [35:14:30<24:26:56, 161.20s/it] 52%|ββββββ | 588/1133 [35:14:30<17:06:28, 113.01s/it] 52%|ββββββ | 589/1133 [35:18:36<23:05:06, 152.77s/it] 52%|ββββββ | 590/1133 [35:22:40<27:11:33, 180.28s/it] 52%|ββββββ | 591/1133 [35:26:51<30:20:17, 201.51s/it] 52%|ββββββ | 592/1133 [35:30:55<32:12:02, 214.27s/it] 52%|ββββββ | 593/1133 [35:34:59<33:28:14, 223.14s/it] 52%|ββββββ | 594/1133 [35:39:03<34:19:48, 229.29s/it] 53%|ββββββ | 595/1133 [35:43:18<35:25:14, 237.02s/it] 53%|ββββββ | 596/1133 [35:47:35<36:16:01, 243.13s/it] 53%|ββββββ | 597/1133 [35:51:42<36:22:09, 244.27s/it] 53%|ββββββ | 598/1133 [35:55:46<36:17:01, 244.15s/it] 53%|ββββββ | 599/1133 [35:59:51<36:15:33, 244.44s/it] 53%|ββββββ | 600/1133 [36:03:59<36:21:04, 245.52s/it] 53%|ββββββ | 601/1133 [36:08:09<36:27:40, 246.73s/it] 53%|ββββββ | 602/1133 [36:12:14<36:20:35, 246.39s/it] 53%|ββββββ | 603/1133 [36:16:22<36:18:46, 246.65s/it] 53%|ββββββ | 604/1133 [36:16:22<25:24:23, 172.90s/it] 53%|ββββββ | 605/1133 [36:20:29<28:36:19, 195.04s/it] 53%|ββββββ | 606/1133 [36:20:30<20:00:42, 136.70s/it] 54%|ββββββ | 607/1133 [36:24:36<24:47:36, 169.69s/it] 54%|ββββββ | 608/1133 [36:24:37<17:21:32, 119.03s/it] 54%|ββββββ | 609/1133 [36:28:45<22:56:58, 157.67s/it] 54%|ββββββ | 610/1133 [36:32:49<26:40:07, 183.57s/it] 54%|ββββββ | 611/1133 [36:36:59<29:30:00, 203.45s/it] 54%|ββββββ | 612/1133 [36:41:05<31:18:38, 216.35s/it] 54%|ββββββ | 613/1133 [36:45:20<32:54:09, 227.79s/it] 54%|ββββββ | 614/1133 [36:49:25<33:36:37, 233.14s/it] 54%|ββββββ | 615/1133 [36:53:30<34:03:37, 236.71s/it] 54%|ββββββ | 616/1133 [36:57:35<34:20:42, 239.15s/it] 54%|ββββββ | 617/1133 [37:01:36<34:22:02, 239.77s/it] 55%|ββββββ | 618/1133 [37:05:38<34:22:14, 240.26s/it] 55%|ββββββ | 619/1133 [37:09:42<34:27:12, 241.31s/it] 55%|ββββββ | 620/1133 [37:14:10<35:32:16, 249.39s/it] 55%|ββββββ | 621/1133 [37:18:14<35:16:03, 247.98s/it] 55%|ββββββ | 622/1133 [37:22:24<35:17:04, 248.58s/it] 55%|ββββββ | 623/1133 [37:26:30<35:06:06, 247.78s/it] 55%|ββββββ | 624/1133 [37:30:35<34:52:40, 246.68s/it] 55%|ββββββ | 625/1133 [37:34:39<34:42:53, 246.01s/it] 55%|ββββββ | 626/1133 [37:34:40<24:16:39, 172.39s/it] 55%|ββββββ | 627/1133 [37:38:48<27:26:27, 195.23s/it] 55%|ββββββ | 628/1133 [37:42:55<29:33:47, 210.75s/it] 56%|ββββββ | 629/1133 [37:47:10<31:21:49, 224.03s/it] 56%|ββββββ | 630/1133 [37:51:14<32:09:14, 230.13s/it] 56%|ββββββ | 631/1133 [37:55:20<32:44:24, 234.79s/it] 56%|ββββββ | 632/1133 [37:59:22<32:57:34, 236.84s/it] 56%|ββββββ | 633/1133 [38:03:30<33:22:13, 240.27s/it] 56%|ββββββ | 634/1133 [38:07:32<33:21:53, 240.71s/it] 56%|ββββββ | 635/1133 [38:11:36<33:27:43, 241.89s/it] 56%|ββββββ | 636/1133 [38:15:39<33:26:30, 242.24s/it] 56%|ββββββ | 637/1133 [38:19:42<33:23:34, 242.37s/it] 56%|ββββββ | 638/1133 [38:23:55<33:45:42, 245.54s/it] 56%|ββββββ | 639/1133 [38:27:58<33:35:06, 244.75s/it] 56%|ββββββ | 640/1133 [38:32:02<33:29:16, 244.54s/it] 57%|ββββββ | 641/1133 [38:36:08<33:28:41, 244.96s/it] 57%|ββββββ | 642/1133 [38:40:23<33:48:43, 247.91s/it] 57%|ββββββ | 643/1133 [38:44:32<33:47:35, 248.28s/it] 57%|ββββββ | 644/1133 [38:48:38<33:39:21, 247.77s/it] 57%|ββββββ | 645/1133 [38:52:46<33:35:40, 247.83s/it] 57%|ββββββ | 646/1133 [38:56:51<33:23:11, 246.80s/it] 57%|ββββββ | 647/1133 [39:00:53<33:08:59, 245.55s/it] 57%|ββββββ | 648/1133 [39:04:59<33:04:19, 245.48s/it] 57%|ββββββ | 649/1133 [39:09:03<32:58:08, 245.23s/it] 57%|ββββββ | 650/1133 [39:13:25<33:32:40, 250.02s/it] 57%|ββββββ | 651/1133 [39:17:26<33:07:01, 247.35s/it] 58%|ββββββ | 652/1133 [39:21:31<32:57:44, 246.70s/it] 58%|ββββββ | 653/1133 [39:25:34<32:45:31, 245.69s/it] 58%|ββββββ | 654/1133 [39:29:40<32:40:55, 245.63s/it] 58%|ββββββ | 655/1133 [39:33:46<32:39:28, 245.96s/it] 58%|ββββββ | 656/1133 [39:37:50<32:29:33, 245.23s/it] 58%|ββββββ | 657/1133 [39:42:07<32:52:46, 248.67s/it] 58%|ββββββ | 658/1133 [39:46:18<32:56:00, 249.60s/it] 58%|ββββββ | 659/1133 [39:50:20<32:32:31, 247.16s/it] 58%|ββββββ | 660/1133 [39:50:20<22:44:22, 173.07s/it] 58%|ββββββ | 661/1133 [39:54:26<25:33:43, 194.97s/it] 58%|ββββββ | 662/1133 [39:58:31<27:27:09, 209.83s/it] 59%|ββββββ | 663/1133 [39:58:31<19:12:07, 147.08s/it] 59%|ββββββ | 664/1133 [40:02:36<22:58:04, 176.30s/it] 59%|ββββββ | 665/1133 [40:06:44<25:42:15, 197.72s/it] 59%|ββββββ | 666/1133 [40:10:50<27:33:56, 212.50s/it] 59%|ββββββ | 667/1133 [40:14:55<28:45:39, 222.19s/it] 59%|ββββββ | 668/1133 [40:19:00<29:33:12, 228.80s/it] 59%|ββββββ | 669/1133 [40:23:03<30:04:31, 233.34s/it] 59%|ββββββ | 670/1133 [40:27:09<30:29:46, 237.12s/it] 59%|ββββββ | 671/1133 [40:27:10<21:19:11, 166.13s/it] 59%|ββββββ | 672/1133 [40:31:14<24:16:21, 189.55s/it] 59%|ββββββ | 673/1133 [40:35:24<26:31:41, 207.61s/it] 59%|ββββββ | 674/1133 [40:39:31<27:59:41, 219.57s/it] 60%|ββββββ | 675/1133 [40:43:37<28:55:38, 227.38s/it] 60%|ββββββ | 676/1133 [40:47:39<29:25:42, 231.82s/it] 60%|ββββββ | 677/1133 [40:51:44<29:50:52, 235.64s/it] 60%|ββββββ | 678/1133 [40:55:47<30:04:13, 237.92s/it] 60%|ββββββ | 679/1133 [40:59:52<30:16:52, 240.12s/it] 60%|ββββββ | 680/1133 [41:03:55<30:18:46, 240.90s/it] 60%|ββββββ | 681/1133 [41:03:55<21:11:25, 168.77s/it] 60%|ββββββ | 682/1133 [41:08:00<24:00:12, 191.60s/it] 60%|ββββββ | 683/1133 [41:12:10<26:07:44, 209.03s/it] 60%|ββββββ | 684/1133 [41:16:14<27:22:27, 219.48s/it] 60%|ββββββ | 685/1133 [41:20:18<28:15:00, 227.01s/it] 61%|ββββββ | 686/1133 [41:24:21<28:47:11, 231.84s/it] 61%|ββββββ | 687/1133 [41:28:29<29:17:33, 236.44s/it] 61%|ββββββ | 688/1133 [41:32:33<29:30:18, 238.69s/it] 61%|ββββββ | 689/1133 [41:36:37<29:39:56, 240.53s/it] 61%|ββββββ | 690/1133 [41:40:41<29:42:48, 241.46s/it] 61%|ββββββ | 691/1133 [41:44:44<29:41:41, 241.86s/it] 61%|ββββββ | 692/1133 [41:48:50<29:48:01, 243.27s/it] 61%|ββββββ | 693/1133 [41:52:56<29:50:04, 244.10s/it] 61%|βββββββ | 694/1133 [41:57:03<29:50:33, 244.72s/it] 61%|βββββββ | 695/1133 [42:01:09<29:50:24, 245.26s/it] 61%|βββββββ | 696/1133 [42:05:13<29:44:02, 244.95s/it] 62%|βββββββ | 697/1133 [42:09:21<29:46:27, 245.84s/it] 62%|βββββββ | 698/1133 [42:13:33<29:54:50, 247.56s/it] 62%|βββββββ | 699/1133 [42:17:38<29:44:58, 246.77s/it] 62%|βββββββ | 700/1133 [42:21:44<29:40:17, 246.69s/it] 62%|βββββββ | 701/1133 [42:21:46<20:46:24, 173.11s/it] 62%|βββββββ | 702/1133 [42:26:12<24:05:07, 201.18s/it] 62%|βββββββ | 703/1133 [42:30:17<25:35:47, 214.30s/it] 62%|βββββββ | 704/1133 [42:34:23<26:38:53, 223.62s/it] 62%|βββββββ | 705/1133 [42:34:24<18:38:43, 156.83s/it] 62%|βββββββ | 706/1133 [42:38:36<22:00:40, 185.57s/it] 62%|βββββββ | 707/1133 [42:42:40<24:02:20, 203.15s/it] 62%|βββββββ | 708/1133 [42:46:47<25:31:42, 216.24s/it] 63%|βββββββ | 709/1133 [42:50:51<26:25:38, 224.38s/it] 63%|βββββββ | 710/1133 [42:54:56<27:07:05, 230.79s/it] 63%|βββββββ | 711/1133 [42:59:02<27:34:21, 235.22s/it] 63%|βββββββ | 712/1133 [42:59:04<19:18:59, 165.18s/it] 63%|βββββββ | 713/1133 [42:59:04<13:30:18, 115.76s/it] 63%|βββββββ | 714/1133 [43:03:07<17:55:17, 153.98s/it] 63%|βββββββ | 715/1133 [43:07:13<21:04:11, 181.46s/it] 63%|βββββββ | 716/1133 [43:11:18<23:14:36, 200.66s/it] 63%|βββββββ | 717/1133 [43:11:19<16:14:35, 140.57s/it] 63%|βββββββ | 718/1133 [43:15:25<19:50:56, 172.19s/it] 63%|βββββββ | 719/1133 [43:19:31<22:21:16, 194.39s/it] 64%|βββββββ | 720/1133 [43:23:36<24:03:40, 209.74s/it] 64%|βββββββ | 721/1133 [43:27:40<25:09:47, 219.87s/it] 64%|βββββββ | 722/1133 [43:31:47<26:02:36, 228.12s/it] 64%|βββββββ | 723/1133 [43:35:51<26:31:09, 232.85s/it] 64%|βββββββ | 724/1133 [43:40:01<27:03:01, 238.10s/it] 64%|βββββββ | 725/1133 [43:44:17<27:33:38, 243.18s/it] 64%|βββββββ | 726/1133 [43:48:25<27:39:24, 244.63s/it] 64%|βββββββ | 727/1133 [43:48:25<19:20:35, 171.52s/it] 64%|βββββββ | 728/1133 [43:52:37<21:59:42, 195.51s/it] 64%|βββββββ | 729/1133 [43:56:46<23:44:18, 211.53s/it] 64%|βββββββ | 730/1133 [44:00:49<24:44:38, 221.04s/it] 65%|βββββββ | 731/1133 [44:04:56<25:33:56, 228.95s/it] 65%|βββββββ | 732/1133 [44:09:02<26:03:10, 233.89s/it] 65%|βββββββ | 733/1133 [44:13:11<26:29:58, 238.50s/it] 65%|βββββββ | 734/1133 [44:13:12<18:31:13, 167.10s/it] 65%|βββββββ | 735/1133 [44:17:25<21:19:25, 192.88s/it] 65%|βββββββ | 736/1133 [44:21:31<23:02:58, 209.01s/it] 65%|βββββββ | 737/1133 [44:25:37<24:11:07, 219.87s/it] 65%|βββββββ | 738/1133 [44:29:45<25:03:05, 228.32s/it] 65%|βββββββ | 739/1133 [44:33:48<25:29:06, 232.86s/it] 65%|βββββββ | 740/1133 [44:37:55<25:53:09, 237.12s/it] 65%|βββββββ | 741/1133 [44:37:56<18:06:01, 166.23s/it] 65%|βββββββ | 742/1133 [44:42:02<20:40:16, 190.32s/it] 66%|βββββββ | 743/1133 [44:46:09<22:26:07, 207.10s/it] 66%|βββββββ | 744/1133 [44:50:15<23:38:45, 218.83s/it] 66%|βββββββ | 745/1133 [44:54:25<24:35:46, 228.21s/it] 66%|βββββββ | 746/1133 [44:58:34<25:13:08, 234.60s/it] 66%|βββββββ | 747/1133 [45:02:40<25:29:59, 237.82s/it] 66%|βββββββ | 748/1133 [45:06:53<25:55:03, 242.35s/it] 66%|βββββββ | 749/1133 [45:11:04<26:07:22, 244.90s/it] 66%|βββββββ | 750/1133 [45:15:10<26:05:46, 245.29s/it] 66%|βββββββ | 751/1133 [45:19:15<26:01:27, 245.26s/it] 66%|βββββββ | 752/1133 [45:19:16<18:11:49, 171.94s/it] 66%|βββββββ | 753/1133 [45:23:22<20:30:36, 194.31s/it] 67%|βββββββ | 754/1133 [45:27:38<22:23:27, 212.68s/it] 67%|βββββββ | 755/1133 [45:27:40<15:41:03, 149.38s/it] 67%|βββββββ | 756/1133 [45:31:42<18:34:40, 177.40s/it] 67%|βββββββ | 757/1133 [45:35:49<20:42:07, 198.21s/it] 67%|βββββββ | 758/1133 [45:40:01<22:18:38, 214.18s/it] 67%|βββββββ | 759/1133 [45:44:07<23:15:39, 223.90s/it] 67%|βββββββ | 760/1133 [45:48:10<23:47:42, 229.66s/it] 67%|βββββββ | 761/1133 [45:52:19<24:19:17, 235.37s/it] 67%|βββββββ | 762/1133 [45:56:23<24:31:43, 238.01s/it] 67%|βββββββ | 763/1133 [45:56:24<17:09:02, 166.87s/it] 67%|βββββββ | 764/1133 [46:00:28<19:28:47, 190.05s/it] 68%|βββββββ | 765/1133 [46:04:35<21:10:40, 207.17s/it] 68%|βββββββ | 766/1133 [46:08:48<22:30:02, 220.72s/it] 68%|βββββββ | 767/1133 [46:12:55<23:14:51, 228.66s/it] 68%|βββββββ | 768/1133 [46:17:06<23:52:31, 235.48s/it] 68%|βββββββ | 769/1133 [46:21:14<24:11:27, 239.25s/it] 68%|βββββββ | 770/1133 [46:21:15<16:54:10, 167.63s/it] 68%|βββββββ | 771/1133 [46:25:21<19:13:32, 191.20s/it] 68%|βββββββ | 772/1133 [46:29:31<20:57:06, 208.94s/it] 68%|βββββββ | 773/1133 [46:33:38<22:02:25, 220.40s/it] 68%|βββββββ | 774/1133 [46:37:46<22:48:22, 228.70s/it] 68%|βββββββ | 775/1133 [46:42:12<23:51:05, 239.85s/it] 68%|βββββββ | 776/1133 [46:46:17<23:56:32, 241.44s/it] 69%|βββββββ | 777/1133 [46:50:25<24:03:33, 243.30s/it] 69%|βββββββ | 778/1133 [46:50:26<16:48:38, 170.47s/it] 69%|βββββββ | 779/1133 [46:54:29<18:54:20, 192.26s/it] 69%|βββββββ | 780/1133 [46:58:34<20:23:59, 208.04s/it] 69%|βββββββ | 781/1133 [47:02:43<21:33:18, 220.45s/it] 69%|βββββββ | 782/1133 [47:06:46<22:09:58, 227.35s/it] 69%|βββββββ | 783/1133 [47:10:56<22:45:08, 234.02s/it] 69%|βββββββ | 784/1133 [47:15:04<23:04:52, 238.09s/it] 69%|βββββββ | 785/1133 [47:19:10<23:15:10, 240.55s/it] 69%|βββββββ | 786/1133 [47:19:14<16:21:08, 169.65s/it] 69%|βββββββ | 787/1133 [47:23:24<18:37:17, 193.75s/it] 70%|βββββββ | 788/1133 [47:23:25<13:01:09, 135.85s/it] 70%|βββββββ | 789/1133 [47:27:27<16:02:13, 167.83s/it] 70%|βββββββ | 790/1133 [47:31:40<18:24:29, 193.21s/it] 70%|βββββββ | 791/1133 [47:35:45<19:50:25, 208.85s/it] 70%|βββββββ | 792/1133 [47:39:54<20:54:57, 220.81s/it] 70%|βββββββ | 793/1133 [47:44:11<21:53:41, 231.83s/it] 70%|βββββββ | 794/1133 [47:48:14<22:08:05, 235.06s/it] 70%|βββββββ | 795/1133 [47:52:18<22:19:50, 237.84s/it] 70%|βββββββ | 796/1133 [47:56:21<22:24:44, 239.42s/it] 70%|βββββββ | 797/1133 [48:00:26<22:28:59, 240.89s/it] 70%|βββββββ | 798/1133 [48:04:30<22:31:00, 241.97s/it] 71%|βββββββ | 799/1133 [48:08:35<22:31:30, 242.79s/it] 71%|βββββββ | 800/1133 [48:12:41<22:32:16, 243.65s/it] 71%|βββββββ | 801/1133 [48:16:47<22:32:37, 244.45s/it] 71%|βββββββ | 802/1133 [48:20:54<22:32:22, 245.14s/it] 71%|βββββββ | 803/1133 [48:20:54<15:44:53, 171.80s/it] 71%|βββββββ | 804/1133 [48:25:08<17:56:48, 196.38s/it] 71%|βββββββ | 805/1133 [48:25:09<12:32:58, 137.74s/it] 71%|βββββββ | 806/1133 [48:29:17<15:31:30, 170.92s/it] 71%|βββββββ | 807/1133 [48:33:22<17:28:41, 193.01s/it] 71%|ββββββββ | 808/1133 [48:37:29<18:53:14, 209.21s/it] 71%|ββββββββ | 809/1133 [48:41:34<19:48:43, 220.14s/it] 71%|ββββββββ | 810/1133 [48:45:38<20:23:09, 227.21s/it] 72%|ββββββββ | 811/1133 [48:49:42<20:45:59, 232.17s/it] 72%|ββββββββ | 812/1133 [48:53:49<21:06:17, 236.69s/it] 72%|ββββββββ | 813/1133 [48:53:50<14:44:49, 165.90s/it] 72%|ββββββββ | 814/1133 [48:53:50<10:18:02, 116.24s/it] 72%|ββββββββ | 815/1133 [48:58:05<13:55:28, 157.64s/it] 72%|ββββββββ | 816/1133 [49:02:11<16:13:29, 184.26s/it] 72%|ββββββββ | 817/1133 [49:06:15<17:45:38, 202.34s/it] 72%|ββββββββ | 818/1133 [49:10:21<18:49:37, 215.17s/it] 72%|ββββββββ | 819/1133 [49:14:29<19:37:42, 225.04s/it] 72%|ββββββββ | 820/1133 [49:18:32<20:02:50, 230.58s/it] 72%|ββββββββ | 821/1133 [49:22:35<20:18:11, 234.27s/it] 73%|ββββββββ | 822/1133 [49:26:38<20:28:40, 237.04s/it] 73%|ββββββββ | 823/1133 [49:30:45<20:39:18, 239.87s/it] 73%|ββββββββ | 824/1133 [49:34:51<20:45:06, 241.77s/it] 73%|ββββββββ | 825/1133 [49:38:55<20:44:28, 242.43s/it] 73%|ββββββββ | 826/1133 [49:43:02<20:47:48, 243.87s/it] 73%|ββββββββ | 827/1133 [49:47:04<20:40:43, 243.28s/it] 73%|ββββββββ | 828/1133 [49:51:09<20:38:52, 243.71s/it] 73%|ββββββββ | 829/1133 [49:55:22<20:49:28, 246.61s/it] 73%|ββββββββ | 830/1133 [49:59:32<20:49:57, 247.52s/it] 73%|ββββββββ | 831/1133 [50:03:41<20:48:15, 248.00s/it] 73%|ββββββββ | 832/1133 [50:07:45<20:37:29, 246.68s/it] 74%|ββββββββ | 833/1133 [50:12:03<20:50:49, 250.16s/it] 74%|ββββββββ | 834/1133 [50:12:04<14:34:12, 175.43s/it] 74%|ββββββββ | 835/1133 [50:16:11<16:18:15, 196.97s/it] 74%|ββββββββ | 836/1133 [50:20:20<17:31:33, 212.43s/it] 74%|ββββββββ | 837/1133 [50:24:39<18:37:32, 226.53s/it] 74%|ββββββββ | 838/1133 [50:28:53<19:13:28, 234.60s/it] 74%|ββββββββ | 839/1133 [50:32:58<19:25:32, 237.87s/it] 74%|ββββββββ | 840/1133 [50:33:00<13:35:20, 166.96s/it] 74%|ββββββββ | 841/1133 [50:37:08<15:30:50, 191.27s/it] 74%|ββββββββ | 842/1133 [50:41:18<16:53:12, 208.91s/it] 74%|ββββββββ | 843/1133 [50:45:23<17:42:10, 219.76s/it] 74%|ββββββββ | 844/1133 [50:49:31<18:20:20, 228.44s/it] 75%|ββββββββ | 845/1133 [50:53:38<18:42:17, 233.81s/it] 75%|ββββββββ | 846/1133 [50:57:47<18:59:53, 238.30s/it] 75%|ββββββββ | 847/1133 [51:01:54<19:08:15, 240.89s/it] 75%|ββββββββ | 848/1133 [51:06:01<19:13:30, 242.84s/it] 75%|ββββββββ | 849/1133 [51:10:05<19:11:44, 243.33s/it] 75%|ββββββββ | 850/1133 [51:14:15<19:15:57, 245.08s/it] 75%|ββββββββ | 851/1133 [51:18:19<19:10:31, 244.79s/it] 75%|ββββββββ | 852/1133 [51:22:24<19:07:36, 245.04s/it] 75%|ββββββββ | 853/1133 [51:26:32<19:07:45, 245.95s/it] 75%|ββββββββ | 854/1133 [51:30:40<19:06:14, 246.50s/it] 75%|ββββββββ | 855/1133 [51:34:49<19:04:51, 247.09s/it] 76%|ββββββββ | 856/1133 [51:39:00<19:07:08, 248.48s/it] 76%|ββββββββ | 857/1133 [51:43:13<19:09:04, 249.80s/it] 76%|ββββββββ | 858/1133 [51:47:19<18:59:12, 248.56s/it] 76%|ββββββββ | 859/1133 [51:51:26<18:53:34, 248.23s/it] 76%|ββββββββ | 860/1133 [51:55:32<18:46:20, 247.55s/it] 76%|ββββββββ | 861/1133 [51:59:46<18:50:04, 249.28s/it] 76%|ββββββββ | 862/1133 [52:03:53<18:43:48, 248.81s/it] 76%|ββββββββ | 863/1133 [52:08:07<18:46:20, 250.30s/it] 76%|ββββββββ | 864/1133 [52:12:12<18:35:28, 248.80s/it] 76%|ββββββββ | 865/1133 [52:16:18<18:26:24, 247.70s/it] 76%|ββββββββ | 866/1133 [52:20:29<18:26:40, 248.69s/it] 77%|ββββββββ | 867/1133 [52:24:40<18:25:47, 249.43s/it] 77%|ββββββββ | 868/1133 [52:28:46<18:16:50, 248.34s/it] 77%|ββββββββ | 869/1133 [52:32:48<18:05:35, 246.73s/it] 77%|ββββββββ | 870/1133 [52:36:54<18:00:19, 246.46s/it] 77%|ββββββββ | 871/1133 [52:40:59<17:53:21, 245.81s/it] 77%|ββββββββ | 872/1133 [52:45:08<17:54:00, 246.90s/it] 77%|ββββββββ | 873/1133 [52:49:15<17:49:21, 246.77s/it] 77%|ββββββββ | 874/1133 [52:53:20<17:43:59, 246.48s/it] 77%|ββββββββ | 875/1133 [52:57:32<17:46:24, 248.00s/it] 77%|ββββββββ | 876/1133 [53:01:40<17:42:28, 248.05s/it] 77%|ββββββββ | 877/1133 [53:05:47<17:36:57, 247.73s/it] 77%|ββββββββ | 878/1133 [53:09:55<17:32:57, 247.75s/it] 78%|ββββββββ | 879/1133 [53:14:01<17:26:29, 247.20s/it] 78%|ββββββββ | 880/1133 [53:14:01<12:10:24, 173.22s/it] 78%|ββββββββ | 881/1133 [53:18:06<13:37:49, 194.72s/it] 78%|ββββββββ | 882/1133 [53:22:15<14:42:03, 210.85s/it] 78%|ββββββββ | 883/1133 [53:22:16<10:16:01, 147.85s/it] 78%|ββββββββ | 884/1133 [53:26:21<12:15:07, 177.14s/it] 78%|ββββββββ | 885/1133 [53:30:27<13:37:03, 197.68s/it] 78%|ββββββββ | 886/1133 [53:34:31<14:31:08, 211.61s/it] 78%|ββββββββ | 887/1133 [53:34:34<10:11:06, 149.05s/it] 78%|ββββββββ | 888/1133 [53:38:38<12:05:30, 177.67s/it] 78%|ββββββββ | 889/1133 [53:42:47<13:29:27, 199.05s/it] 79%|ββββββββ | 890/1133 [53:46:54<14:24:36, 213.48s/it] 79%|ββββββββ | 891/1133 [53:46:55<10:03:41, 149.68s/it] 79%|ββββββββ | 892/1133 [53:51:11<12:08:52, 181.46s/it] 79%|ββββββββ | 893/1133 [53:55:21<13:28:40, 202.17s/it] 79%|ββββββββ | 894/1133 [53:59:25<14:14:54, 214.62s/it] 79%|ββββββββ | 895/1133 [54:03:35<14:53:04, 225.14s/it] 79%|ββββββββ | 896/1133 [54:03:35<10:23:26, 157.83s/it] 79%|ββββββββ | 897/1133 [54:07:40<12:02:41, 183.74s/it] 79%|ββββββββ | 898/1133 [54:11:49<13:16:22, 203.33s/it] 79%|ββββββββ | 899/1133 [54:15:56<14:04:06, 216.44s/it] 79%|ββββββββ | 900/1133 [54:20:03<14:36:05, 225.60s/it] 80%|ββββββββ | 901/1133 [54:20:04<10:11:36, 158.17s/it] 80%|ββββββββ | 902/1133 [54:24:08<11:49:13, 184.22s/it] 80%|ββββββββ | 903/1133 [54:28:15<12:58:00, 202.96s/it] 80%|ββββββββ | 904/1133 [54:32:20<13:42:38, 215.54s/it] 80%|ββββββββ | 905/1133 [54:36:30<14:18:26, 225.91s/it] 80%|ββββββββ | 906/1133 [54:40:35<14:36:18, 231.63s/it] 80%|ββββββββ | 907/1133 [54:44:41<14:48:59, 236.02s/it] 80%|ββββββββ | 908/1133 [54:44:43<10:20:51, 165.56s/it] 80%|ββββββββ | 909/1133 [54:48:47<11:46:45, 189.31s/it] 80%|ββββββββ | 910/1133 [54:52:53<12:46:32, 206.24s/it] 80%|ββββββββ | 911/1133 [54:52:54<8:54:44, 144.53s/it] 80%|ββββββββ | 912/1133 [54:56:59<10:44:01, 174.85s/it] 81%|ββββββββ | 913/1133 [55:01:05<11:59:39, 196.27s/it] 81%|ββββββββ | 914/1133 [55:01:06<8:22:19, 137.62s/it] 81%|ββββββββ | 915/1133 [55:05:13<10:19:27, 170.50s/it] 81%|ββββββββ | 916/1133 [55:09:23<11:42:27, 194.23s/it] 81%|ββββββββ | 917/1133 [55:13:31<12:37:37, 210.45s/it] 81%|ββββββββ | 918/1133 [55:17:43<13:18:01, 222.70s/it] 81%|ββββββββ | 919/1133 [55:21:47<13:37:34, 229.23s/it] 81%|ββββββββ | 920/1133 [55:25:51<13:49:44, 233.73s/it] 81%|βββββββββ | 921/1133 [55:29:58<13:59:55, 237.71s/it] 81%|βββββββββ | 922/1133 [55:34:03<14:03:18, 239.80s/it] 81%|βββββββββ | 923/1133 [55:38:08<14:04:28, 241.28s/it] 82%|βββββββββ | 924/1133 [55:42:13<14:04:40, 242.49s/it] 82%|βββββββββ | 925/1133 [55:46:21<14:06:05, 244.06s/it] 82%|βββββββββ | 926/1133 [55:50:29<14:06:01, 245.23s/it] 82%|βββββββββ | 927/1133 [55:54:35<14:03:15, 245.61s/it] 82%|βββββββββ | 928/1133 [55:54:36<9:48:01, 172.10s/it] 82%|βββββββββ | 929/1133 [55:58:44<11:02:24, 194.83s/it] 82%|βββββββββ | 930/1133 [56:02:53<11:54:41, 211.24s/it] 82%|βββββββββ | 931/1133 [56:07:01<12:27:52, 222.14s/it] 82%|βββββββββ | 932/1133 [56:11:07<12:48:21, 229.36s/it] 82%|βββββββββ | 933/1133 [56:15:11<12:59:21, 233.81s/it] 82%|βββββββββ | 934/1133 [56:19:15<13:05:20, 236.79s/it] 83%|βββββββββ | 935/1133 [56:23:23<13:12:44, 240.23s/it] 83%|βββββββββ | 936/1133 [56:23:24<9:12:50, 168.38s/it] 83%|βββββββββ | 937/1133 [56:27:27<10:23:39, 190.92s/it] 83%|βββββββββ | 938/1133 [56:31:34<11:14:23, 207.51s/it] 83%|βββββββββ | 939/1133 [56:35:39<11:48:00, 218.97s/it] 83%|βββββββββ | 940/1133 [56:35:40<8:14:10, 153.63s/it] 83%|βββββββββ | 941/1133 [56:39:51<9:44:48, 182.75s/it] 83%|βββββββββ | 942/1133 [56:39:52<6:47:59, 128.17s/it] 83%|βββββββββ | 943/1133 [56:43:57<8:37:13, 163.34s/it] 83%|βββββββββ | 944/1133 [56:48:12<10:00:27, 190.62s/it] 83%|βββββββββ | 945/1133 [56:52:21<10:52:23, 208.21s/it] 83%|βββββββββ | 946/1133 [56:56:31<11:27:57, 220.73s/it] 84%|βββββββββ | 947/1133 [57:00:42<11:52:45, 229.92s/it] 84%|βββββββββ | 948/1133 [57:04:55<12:09:52, 236.72s/it] 84%|βββββββββ | 949/1133 [57:08:59<12:12:26, 238.84s/it] 84%|βββββββββ | 950/1133 [57:13:03<12:13:22, 240.45s/it] 84%|βββββββββ | 951/1133 [57:17:11<12:16:27, 242.79s/it] 84%|βββββββββ | 952/1133 [57:21:16<12:14:28, 243.47s/it] 84%|βββββββββ | 953/1133 [57:25:18<12:09:23, 243.13s/it] 84%|βββββββββ | 954/1133 [57:29:22<12:05:30, 243.19s/it] 84%|βββββββββ | 955/1133 [57:33:25<12:01:09, 243.09s/it] 84%|βββββββββ | 956/1133 [57:37:31<12:00:14, 244.15s/it] 84%|βββββββββ | 957/1133 [57:41:33<11:53:56, 243.39s/it] 85%|βββββββββ | 958/1133 [57:45:38<11:51:49, 244.05s/it] 85%|βββββββββ | 959/1133 [57:49:46<11:50:45, 245.09s/it] 85%|βββββββββ | 960/1133 [57:53:50<11:46:04, 244.88s/it] 85%|βββββββββ | 961/1133 [57:57:56<11:42:30, 245.06s/it] 85%|βββββββββ | 962/1133 [58:02:09<11:45:31, 247.55s/it] 85%|βββββββββ | 963/1133 [58:02:10<8:11:56, 173.63s/it] 85%|βββββββββ | 964/1133 [58:06:15<9:08:41, 194.80s/it] 85%|βββββββββ | 965/1133 [58:10:17<9:45:20, 209.05s/it] 85%|βββββββββ | 966/1133 [58:14:21<10:10:49, 219.46s/it] 85%|βββββββββ | 967/1133 [58:18:36<10:36:35, 230.09s/it] 85%|βββββββββ | 968/1133 [58:22:39<10:43:55, 234.15s/it] 86%|βββββββββ | 969/1133 [58:26:44<10:48:40, 237.32s/it] 86%|βββββββββ | 970/1133 [58:30:50<10:51:46, 239.92s/it] 86%|βββββββββ | 971/1133 [58:34:57<10:53:59, 242.22s/it] 86%|βββββββββ | 972/1133 [58:39:05<10:53:58, 243.72s/it] 86%|βββββββββ | 973/1133 [58:43:22<11:01:04, 247.90s/it] 86%|βββββββββ | 974/1133 [58:47:27<10:54:06, 246.83s/it] 86%|βββββββββ | 975/1133 [58:51:30<10:47:27, 245.87s/it] 86%|βββββββββ | 976/1133 [58:55:35<10:42:22, 245.49s/it] 86%|βββββββββ | 977/1133 [58:59:38<10:36:30, 244.81s/it] 86%|βββββββββ | 978/1133 [59:03:42<10:31:59, 244.64s/it] 86%|βββββββββ | 979/1133 [59:07:57<10:35:39, 247.66s/it] 86%|βββββββββ | 980/1133 [59:07:57<7:22:24, 173.50s/it] 87%|βββββββββ | 981/1133 [59:07:59<5:08:31, 121.78s/it] 87%|βββββββββ | 982/1133 [59:12:06<6:41:21, 159.48s/it] 87%|βββββββββ | 983/1133 [59:16:11<7:42:35, 185.04s/it] 87%|βββββββββ | 984/1133 [59:20:15<8:23:36, 202.80s/it] 87%|βββββββββ | 985/1133 [59:20:16<5:51:01, 142.31s/it] 87%|βββββββββ | 986/1133 [59:24:29<7:09:56, 175.49s/it] 87%|βββββββββ | 987/1133 [59:24:31<5:00:29, 123.49s/it] 87%|βββββββββ | 988/1133 [59:28:39<6:28:48, 160.89s/it] 87%|βββββββββ | 989/1133 [59:32:47<7:28:55, 187.05s/it] 87%|βββββββββ | 990/1133 [59:37:13<8:21:37, 210.47s/it] 87%|βββββββββ | 991/1133 [59:41:18<8:43:18, 221.11s/it] 88%|βββββββββ | 992/1133 [59:45:24<8:56:43, 228.39s/it] 88%|βββββββββ | 993/1133 [59:49:28<9:04:16, 233.26s/it] 88%|βββββββββ | 994/1133 [59:53:40<9:13:21, 238.86s/it] 88%|βββββββββ | 995/1133 [59:57:51<9:17:17, 242.30s/it] 88%|βββββββββ | 996/1133 [60:01:56<9:15:15, 243.18s/it] 88%|βββββββββ | 997/1133 [60:06:03<9:13:43, 244.29s/it] 88%|βββββββββ | 998/1133 [60:10:10<9:11:24, 245.07s/it] 88%|βββββββββ | 999/1133 [60:14:26<9:14:49, 248.43s/it] 88%|βββββββββ | 1000/1133 [60:18:32<9:08:57, 247.65s/it] 88%|βββββββββ | 1001/1133 [60:22:35<9:01:39, 246.20s/it] 88%|βββββββββ | 1002/1133 [60:26:40<8:57:11, 246.05s/it] 89%|βββββββββ | 1003/1133 [60:30:46<8:53:00, 246.00s/it] 89%|βββββββββ | 1004/1133 [60:34:56<8:51:11, 247.06s/it] 89%|βββββββββ | 1005/1133 [60:38:59<8:44:39, 245.93s/it] 89%|βββββββββ | 1006/1133 [60:43:19<8:49:09, 250.00s/it] 89%|βββββββββ | 1007/1133 [60:47:25<8:43:02, 249.07s/it] 89%|βββββββββ | 1008/1133 [60:51:36<8:39:49, 249.52s/it] 89%|βββββββββ | 1009/1133 [60:55:44<8:34:31, 248.97s/it] 89%|βββββββββ | 1010/1133 [60:59:56<8:32:38, 250.07s/it] 89%|βββββββββ | 1011/1133 [60:59:59<5:57:31, 175.83s/it] 89%|βββββββββ | 1012/1133 [61:04:02<6:35:10, 195.95s/it] 89%|βββββββββ | 1013/1133 [61:08:05<7:00:29, 210.24s/it] 89%|βββββββββ | 1014/1133 [61:08:06<4:52:09, 147.30s/it] 90%|βββββββββ | 1015/1133 [61:12:16<5:50:19, 178.13s/it] 90%|βββββββββ | 1016/1133 [61:16:21<6:26:25, 198.17s/it] 90%|βββββββββ | 1017/1133 [61:20:28<6:51:24, 212.80s/it] 90%|βββββββββ | 1018/1133 [61:24:32<7:06:06, 222.32s/it] 90%|βββββββββ | 1019/1133 [61:28:44<7:19:23, 231.26s/it] 90%|βββββββββ | 1020/1133 [61:32:55<7:26:41, 237.18s/it] 90%|βββββββββ | 1021/1133 [61:37:01<7:27:13, 239.59s/it] 90%|βββββββββ | 1022/1133 [61:41:11<7:28:58, 242.69s/it] 90%|βββββββββ | 1023/1133 [61:45:24<7:30:55, 245.96s/it] 90%|βββββββββ | 1024/1133 [61:49:31<7:27:02, 246.08s/it] 90%|βββββββββ | 1025/1133 [61:49:32<5:10:56, 172.75s/it] 91%|βββββββββ | 1026/1133 [61:53:38<5:47:05, 194.63s/it] 91%|βββββββββ | 1027/1133 [61:57:41<6:09:30, 209.16s/it] 91%|βββββββββ | 1028/1133 [62:01:46<6:24:45, 219.86s/it] 91%|βββββββββ | 1029/1133 [62:01:47<4:27:11, 154.15s/it] 91%|βββββββββ | 1030/1133 [62:05:53<5:12:02, 181.77s/it] 91%|βββββββββ | 1031/1133 [62:09:56<5:40:13, 200.14s/it] 91%|βββββββββ | 1032/1133 [62:14:02<6:00:19, 214.05s/it] 91%|βββββββββ | 1033/1133 [62:18:08<6:12:42, 223.62s/it] 91%|ββββββββββ| 1034/1133 [62:22:18<6:21:45, 231.37s/it] 91%|ββββββββββ| 1035/1133 [62:26:23<6:24:30, 235.42s/it] 91%|ββββββββββ| 1036/1133 [62:26:23<4:26:47, 165.02s/it] 92%|ββββββββββ| 1037/1133 [62:30:28<5:02:20, 188.97s/it] 92%|ββββββββββ| 1038/1133 [62:34:37<5:27:25, 206.80s/it] 92%|ββββββββββ| 1039/1133 [62:38:44<5:43:01, 218.95s/it] 92%|ββββββββββ| 1040/1133 [62:42:47<5:50:37, 226.20s/it] 92%|ββββββββββ| 1041/1133 [62:46:52<5:55:38, 231.94s/it] 92%|ββββββββββ| 1042/1133 [62:46:53<4:06:43, 162.68s/it] 92%|ββββββββββ| 1043/1133 [62:50:58<4:40:53, 187.26s/it] 92%|ββββββββββ| 1044/1133 [62:55:09<5:06:00, 206.30s/it] 92%|ββββββββββ| 1045/1133 [62:55:10<3:32:25, 144.83s/it] 92%|ββββββββββ| 1046/1133 [62:59:21<4:16:06, 176.63s/it] 92%|ββββββββββ| 1047/1133 [63:03:31<4:44:32, 198.52s/it] 92%|ββββββββββ| 1048/1133 [63:07:37<5:01:34, 212.88s/it] 93%|ββββββββββ| 1049/1133 [63:11:43<5:12:00, 222.87s/it] 93%|ββββββββββ| 1050/1133 [63:15:46<5:16:31, 228.82s/it] 93%|ββββββββββ| 1051/1133 [63:19:53<5:20:23, 234.43s/it] 93%|ββββββββββ| 1052/1133 [63:23:56<5:19:51, 236.93s/it] 93%|ββββββββββ| 1053/1133 [63:28:05<5:20:36, 240.46s/it] 93%|ββββββββββ| 1054/1133 [63:32:08<5:17:42, 241.30s/it] 93%|ββββββββββ| 1055/1133 [63:36:14<5:15:22, 242.59s/it] 93%|ββββββββββ| 1056/1133 [63:40:15<5:10:42, 242.11s/it] 93%|ββββββββββ| 1057/1133 [63:40:16<3:35:00, 169.74s/it] 93%|ββββββββββ| 1058/1133 [63:44:19<3:59:39, 191.73s/it] 93%|ββββββββββ| 1059/1133 [63:48:31<4:18:59, 209.99s/it] 94%|ββββββββββ| 1060/1133 [63:52:39<4:29:14, 221.29s/it] 94%|ββββββββββ| 1061/1133 [63:56:43<4:33:55, 228.27s/it] 94%|ββββββββββ| 1062/1133 [64:00:52<4:37:14, 234.30s/it] 94%|ββββββββββ| 1063/1133 [64:04:59<4:38:01, 238.30s/it] 94%|ββββββββββ| 1064/1133 [64:09:02<4:35:22, 239.45s/it] 94%|ββββββββββ| 1065/1133 [64:09:02<3:10:14, 167.86s/it] 94%|ββββββββββ| 1066/1133 [64:13:07<3:33:02, 190.78s/it] 94%|ββββββββββ| 1067/1133 [64:17:09<3:46:57, 206.32s/it] 94%|ββββββββββ| 1068/1133 [64:21:14<3:56:11, 218.02s/it] 94%|ββββββββββ| 1069/1133 [64:25:22<4:02:07, 226.99s/it] 94%|ββββββββββ| 1070/1133 [64:29:31<4:05:12, 233.52s/it] 95%|ββββββββββ| 1071/1133 [64:29:32<2:49:16, 163.81s/it] 95%|ββββββββββ| 1072/1133 [64:33:40<3:12:01, 188.88s/it] 95%|ββββββββββ| 1073/1133 [64:37:51<3:27:30, 207.50s/it] 95%|ββββββββββ| 1074/1133 [64:41:57<3:35:25, 219.07s/it] 95%|ββββββββββ| 1075/1133 [64:41:57<2:28:20, 153.45s/it] 95%|ββββββββββ| 1076/1133 [64:46:04<2:52:19, 181.40s/it] 95%|ββββββββββ| 1077/1133 [64:50:08<3:06:56, 200.29s/it] 95%|ββββββββββ| 1078/1133 [64:54:25<3:19:10, 217.28s/it] 95%|ββββββββββ| 1079/1133 [64:58:36<3:24:47, 227.55s/it] 95%|ββββββββββ| 1080/1133 [65:02:55<3:29:12, 236.83s/it] 95%|ββββββββββ| 1081/1133 [65:07:00<3:27:18, 239.19s/it] 95%|ββββββββββ| 1082/1133 [65:11:11<3:26:31, 242.96s/it] 96%|ββββββββββ| 1083/1133 [65:15:15<3:22:42, 243.26s/it] 96%|ββββββββββ| 1084/1133 [65:19:27<3:20:38, 245.69s/it] 96%|ββββββββββ| 1085/1133 [65:23:50<3:20:45, 250.95s/it] 96%|ββββββββββ| 1086/1133 [65:23:51<2:17:44, 175.84s/it] 96%|ββββββββββ| 1087/1133 [65:27:54<2:30:28, 196.27s/it] 96%|ββββββββββ| 1088/1133 [65:27:59<1:43:58, 138.64s/it] 96%|ββββββββββ| 1089/1133 [65:32:06<2:05:28, 171.11s/it] 96%|ββββββββββ| 1090/1133 [65:36:15<2:19:28, 194.62s/it] 96%|ββββββββββ| 1091/1133 [65:40:22<2:27:16, 210.39s/it] 96%|ββββββββββ| 1092/1133 [65:40:23<1:40:48, 147.51s/it] 96%|ββββββββββ| 1093/1133 [65:44:27<1:57:34, 176.36s/it] 97%|ββββββββββ| 1094/1133 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GPU available: True (cuda), used: True | |
TPU available: False, using: 0 TPU cores | |
HPU available: False, using: 0 HPUs | |
You are using a CUDA device ('NVIDIA L40S') that has Tensor Cores. To properly utilize them, you should set `torch.set_float32_matmul_precision('medium' | 'high')` which will trade-off precision for performance. For more details, read https://pytorch.org/docs/stable/generated/torch.set_float32_matmul_precision.html#torch.set_float32_matmul_precision | |
LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0] | |
SLURM auto-requeueing enabled. Setting signal handlers. | |
Batch output: [' Old Geng raised his gun and narrowed one eye. He pulled the trigger. The golden sparrows fell like hailstones, and the iron sand flew through the willow branches with a rattling sound........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................'] | |
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... | |
To disable this warning, you can either: | |
- Avoid using `tokenizers` before the fork if possible | |
- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) | |
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... | |
To disable this warning, you can either: | |
- Avoid using `tokenizers` before the fork if possible | |
- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) | |
Using default tokenizer. | |
shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-105/rpp-1.06 metrics: {'comet': 0.438108970370844, 'meteor': 0.18592056616993435, 'sacrebleu': {'score': 0.26417254523417455, 'counts': [16113, 6007, 2869, 1544], 'totals': [1724224, 1723091, 1721958, 1720825], 'precisions': [0.9345073493931183, 0.34861768763228407, 0.1666126583807503, 0.08972440544506269], 'bp': 1.0, 'sys_len': 1724224, 'ref_len': 30190}, 'bleu_scores': {'bleu': 0.0026417254523417445, 'precisions': [0.009345073493931183, 0.003486176876322841, 0.0016661265838075028, 0.0008972440544506269], 'brevity_penalty': 1.0, 'length_ratio': 57.11242133156674, 'translation_length': 1724224, 'reference_length': 30190}, 'rouge_scores': {'rouge1': 0.18075648237510966, 'rouge2': 0.08414947177501376, 'rougeL': 0.15585202110123367, 'rougeLsum': 0.15601577418759272}, 'accuracy': 0.0, 'correct_ids': []} | |
(3) GPU = NVIDIA L40S. Max memory = 44.521 GB. | |
18.861 GB of memory reserved. | |
Job ID: 95394 | |
Cluster: crimson | |
User/Group: dh.huang.2023/dh.huang.2023 | |
State: COMPLETED (exit code 0) | |
Nodes: 1 | |
Cores per node: 10 | |
CPU Utilized: 2-19:43:13 | |
CPU Efficiency: 9.97% of 28-07:16:50 core-walltime | |
Job Wall-clock time: 2-19:55:41 | |
Memory Utilized: 6.82 GB | |
Memory Efficiency: 2.66% of 256.00 GB | |