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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 | |
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 | |
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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 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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] 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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 | |
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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] 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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 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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| 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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 | |