alexdaoud-trainer-bagir-_7439

developer_uid: chai_backend_admin
submission_id: alexdaoud-trainer-bagir-_7439_v1
model_name: alexdaoud-trainer-bagir-_7439_v1
model_group: alexdaoud/trainer_bagir_
status: inactive
timestamp: 2024-12-12T13:12:17+00:00
num_battles: 17918
num_wins: 9013
celo_rating: 1264.8
family_friendly_score: 0.5811999999999999
family_friendly_standard_error: 0.006977199438170017
submission_type: basic
model_repo: alexdaoud/trainer_bagir_2024-12-11-checkpoint-13
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 256
max_output_tokens: 1
display_name: alexdaoud-trainer-bagir-_7439_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: alexdaoud/trainer_bagir_2024-12-11-checkpoint-13
model_size: 8B
ranking_group: single
us_pacific_date: 2024-12-12
win_ratio: 0.5030137292108494
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 256, 'best_of': 1, 'max_output_tokens': 1}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '', 'truncate_by_message': True}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name alexdaoud-trainer-bagir-7439-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-7439-v1-mkmlizer to finish
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║     _____            __           __                                ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║       /___/                                                         ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║  https://mk1.ai                                                     ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║  belonging to:                                                      ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║  Chai Research Corp.                                                ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-7439-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-7439-v1-mkmlizer: Downloaded to shared memory in 33.922s
alexdaoud-trainer-bagir-7439-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpmwqs21te, device:0
alexdaoud-trainer-bagir-7439-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-7439-v1-mkmlizer: quantized model in 86.305s
alexdaoud-trainer-bagir-7439-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-13 in 120.227s
alexdaoud-trainer-bagir-7439-v1-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-7439-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-7439-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-7439-v1
alexdaoud-trainer-bagir-7439-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-7439-v1/config.json
alexdaoud-trainer-bagir-7439-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-7439-v1/special_tokens_map.json
alexdaoud-trainer-bagir-7439-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-7439-v1/tokenizer_config.json
alexdaoud-trainer-bagir-7439-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-7439-v1/tokenizer.json
alexdaoud-trainer-bagir-7439-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-7439-v1/flywheel_model.0.safetensors
alexdaoud-trainer-bagir-7439-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   1%|          | 3/291 [00:00<00:56,  5.12it/s]
Loading 0:   1%|▏         | 4/291 [00:01<01:32,  3.11it/s]
Loading 0:   2%|▏         | 5/291 [00:01<02:03,  2.32it/s]
Loading 0:   3%|▎         | 8/291 [00:02<01:03,  4.43it/s]
Loading 0:   3%|▎         | 9/291 [00:02<01:02,  4.50it/s]
Loading 0:   3%|▎         | 10/291 [00:02<00:54,  5.12it/s]
Loading 0:   4%|▍         | 12/291 [00:02<01:05,  4.27it/s]
Loading 0:   4%|▍         | 13/291 [00:03<01:26,  3.22it/s]
Loading 0:   5%|▍         | 14/291 [00:04<01:49,  2.52it/s]
Loading 0:   6%|▌         | 17/291 [00:04<01:03,  4.33it/s]
Loading 0:   6%|▌         | 18/291 [00:04<00:59,  4.56it/s]
Loading 0:   7%|▋         | 19/291 [00:04<00:52,  5.13it/s]
Loading 0:   7%|▋         | 21/291 [00:05<01:02,  4.31it/s]
Loading 0:   8%|▊         | 22/291 [00:05<01:22,  3.24it/s]
Loading 0:   8%|▊         | 23/291 [00:06<01:45,  2.54it/s]
Loading 0:   9%|▉         | 26/291 [00:06<01:01,  4.30it/s]
Loading 0:   9%|▉         | 27/291 [00:06<00:58,  4.52it/s]
Loading 0:  10%|▉         | 28/291 [00:07<00:52,  5.03it/s]
Loading 0:  10%|█         | 30/291 [00:07<01:01,  4.25it/s]
Loading 0:  11%|█         | 31/291 [00:08<01:20,  3.21it/s]
Loading 0:  11%|█         | 32/291 [00:08<01:42,  2.54it/s]
Loading 0:  12%|█▏        | 35/291 [00:09<00:58,  4.39it/s]
Loading 0:  12%|█▏        | 36/291 [00:09<00:55,  4.61it/s]
Loading 0:  13%|█▎        | 37/291 [00:09<00:49,  5.17it/s]
Loading 0:  13%|█▎        | 39/291 [00:09<00:58,  4.31it/s]
Loading 0:  14%|█▎        | 40/291 [00:10<01:17,  3.25it/s]
Loading 0:  14%|█▍        | 41/291 [00:11<01:38,  2.54it/s]
Loading 0:  15%|█▌        | 44/291 [00:11<00:57,  4.32it/s]
Loading 0:  15%|█▌        | 45/291 [00:11<00:53,  4.57it/s]
Loading 0:  16%|█▌        | 46/291 [00:11<00:47,  5.15it/s]
Loading 0:  16%|█▋        | 48/291 [00:12<00:56,  4.29it/s]
Loading 0:  17%|█▋        | 49/291 [00:12<01:14,  3.23it/s]
Loading 0:  17%|█▋        | 50/291 [00:13<01:34,  2.54it/s]
Loading 0:  18%|█▊        | 53/291 [00:13<00:54,  4.36it/s]
Loading 0:  19%|█▊        | 54/291 [00:13<00:51,  4.60it/s]
Loading 0:  19%|█▉        | 55/291 [00:14<00:45,  5.17it/s]
Loading 0:  20%|█▉        | 57/291 [00:14<00:54,  4.31it/s]
Loading 0:  20%|█▉        | 58/291 [00:15<01:11,  3.25it/s]
Loading 0:  20%|██        | 59/291 [00:15<01:30,  2.55it/s]
Loading 0:  21%|██▏       | 62/291 [00:16<00:52,  4.33it/s]
Loading 0:  22%|██▏       | 63/291 [00:16<00:49,  4.57it/s]
Loading 0:  22%|██▏       | 64/291 [00:16<00:43,  5.16it/s]
Loading 0:  23%|██▎       | 66/291 [00:16<00:52,  4.33it/s]
Loading 0:  23%|██▎       | 67/291 [00:17<01:08,  3.25it/s]
Loading 0:  23%|██▎       | 68/291 [00:18<01:27,  2.56it/s]
Loading 0:  24%|██▍       | 71/291 [00:18<00:50,  4.38it/s]
Loading 0:  25%|██▍       | 72/291 [00:18<00:47,  4.61it/s]
Loading 0:  25%|██▌       | 73/291 [00:18<00:42,  5.18it/s]
Loading 0:  26%|██▌       | 75/291 [00:19<00:50,  4.27it/s]
Loading 0:  26%|██▌       | 76/291 [00:19<01:06,  3.25it/s]
Loading 0:  26%|██▋       | 77/291 [00:20<01:23,  2.56it/s]
Loading 0:  27%|██▋       | 80/291 [00:20<00:48,  4.34it/s]
Loading 0:  28%|██▊       | 81/291 [00:20<00:45,  4.58it/s]
Loading 0:  28%|██▊       | 82/291 [00:20<00:40,  5.17it/s]
Loading 0:  29%|██▊       | 83/291 [00:21<00:39,  5.20it/s]
Loading 0:  29%|██▉       | 84/291 [00:21<01:00,  3.43it/s]
Loading 0:  29%|██▉       | 85/291 [00:22<01:16,  2.70it/s]
Loading 0:  30%|██▉       | 86/291 [00:22<01:31,  2.23it/s]
Loading 0:  31%|███       | 89/291 [00:23<00:49,  4.10it/s]
Loading 0:  31%|███       | 90/291 [00:23<00:45,  4.38it/s]
Loading 0:  31%|███▏      | 91/291 [00:23<00:40,  5.00it/s]
Loading 0:  32%|███▏      | 93/291 [00:24<00:46,  4.24it/s]
Loading 0:  32%|███▏      | 94/291 [00:24<01:01,  3.21it/s]
Loading 0:  33%|███▎      | 95/291 [00:25<01:16,  2.56it/s]
Loading 0:  34%|███▎      | 98/291 [00:25<00:44,  4.37it/s]
Loading 0:  34%|███▍      | 99/291 [00:25<00:41,  4.60it/s]
Loading 0:  34%|███▍      | 100/291 [00:25<00:36,  5.17it/s]
Loading 0:  35%|███▌      | 102/291 [00:26<00:43,  4.35it/s]
Loading 0:  35%|███▌      | 103/291 [00:26<00:57,  3.26it/s]
Loading 0:  36%|███▌      | 104/291 [00:27<01:12,  2.56it/s]
Loading 0:  37%|███▋      | 107/291 [00:27<00:42,  4.35it/s]
Loading 0:  37%|███▋      | 108/291 [00:27<00:39,  4.58it/s]
Loading 0:  37%|███▋      | 109/291 [00:28<00:35,  5.14it/s]
Loading 0:  38%|███▊      | 111/291 [00:28<00:41,  4.31it/s]
Loading 0:  38%|███▊      | 112/291 [00:29<00:55,  3.25it/s]
Loading 0:  39%|███▉      | 113/291 [00:29<01:09,  2.57it/s]
Loading 0:  40%|███▉      | 116/291 [00:30<00:40,  4.34it/s]
Loading 0:  40%|████      | 117/291 [00:30<00:38,  4.53it/s]
Loading 0:  41%|████      | 118/291 [00:30<00:33,  5.11it/s]
Loading 0:  41%|████      | 120/291 [00:30<00:39,  4.32it/s]
Loading 0:  42%|████▏     | 121/291 [00:31<00:51,  3.27it/s]
Loading 0:  42%|████▏     | 122/291 [00:32<01:05,  2.59it/s]
Loading 0:  43%|████▎     | 125/291 [00:32<00:37,  4.39it/s]
Loading 0:  43%|████▎     | 126/291 [00:32<00:35,  4.64it/s]
Loading 0:  44%|████▎     | 127/291 [00:32<00:31,  5.22it/s]
Loading 0:  44%|████▍     | 129/291 [00:33<00:37,  4.34it/s]
Loading 0:  45%|████▍     | 130/291 [00:33<00:48,  3.29it/s]
Loading 0:  45%|████▌     | 131/291 [00:34<01:01,  2.58it/s]
Loading 0:  46%|████▌     | 134/291 [00:34<00:35,  4.38it/s]
Loading 0:  46%|████▋     | 135/291 [00:34<00:33,  4.62it/s]
Loading 0:  47%|████▋     | 136/291 [00:34<00:29,  5.22it/s]
Loading 0:  47%|████▋     | 138/291 [00:35<00:34,  4.38it/s]
Loading 0:  48%|████▊     | 139/291 [00:36<00:46,  3.28it/s]
Loading 0:  48%|████▊     | 140/291 [00:36<00:58,  2.60it/s]
Loading 0:  49%|████▉     | 143/291 [00:36<00:33,  4.47it/s]
Loading 0:  49%|████▉     | 144/291 [00:37<00:31,  4.70it/s]
Loading 0:  50%|████▉     | 145/291 [00:37<00:27,  5.31it/s]
Loading 0:  51%|█████     | 147/291 [00:37<00:32,  4.38it/s]
Loading 0:  51%|█████     | 148/291 [00:38<00:43,  3.28it/s]
Loading 0:  51%|█████     | 149/291 [00:39<00:55,  2.58it/s]
Loading 0:  52%|█████▏    | 152/291 [00:39<00:31,  4.44it/s]
Loading 0:  53%|█████▎    | 153/291 [00:39<00:29,  4.65it/s]
Loading 0:  53%|█████▎    | 154/291 [00:39<00:26,  5.16it/s]
Loading 0:  54%|█████▎    | 156/291 [00:40<00:31,  4.32it/s]
Loading 0:  54%|█████▍    | 157/291 [00:40<00:41,  3.27it/s]
Loading 0:  54%|█████▍    | 158/291 [00:41<00:51,  2.59it/s]
Loading 0:  55%|█████▌    | 161/291 [00:41<00:29,  4.40it/s]
Loading 0:  56%|█████▌    | 162/291 [00:41<00:27,  4.64it/s]
Loading 0:  56%|█████▌    | 163/291 [00:41<00:24,  5.22it/s]
Loading 0:  57%|█████▋    | 165/291 [00:42<00:28,  4.38it/s]
Loading 0:  57%|█████▋    | 166/291 [00:43<00:37,  3.30it/s]
Loading 0:  57%|█████▋    | 167/291 [00:43<00:47,  2.60it/s]
Loading 0:  58%|█████▊    | 170/291 [00:43<00:27,  4.41it/s]
Loading 0:  59%|█████▉    | 171/291 [00:44<00:25,  4.66it/s]
Loading 0:  59%|█████▉    | 172/291 [00:44<00:22,  5.23it/s]
Loading 0:  59%|█████▉    | 173/291 [00:44<00:33,  3.54it/s]
Loading 0:  60%|██████    | 175/291 [00:44<00:23,  4.86it/s]
Loading 0:  60%|██████    | 176/291 [00:45<00:22,  5.08it/s]
Loading 0:  61%|██████    | 177/291 [00:45<00:19,  5.76it/s]
Loading 0:  62%|██████▏   | 179/291 [00:45<00:24,  4.51it/s]
Loading 0:  62%|██████▏   | 180/291 [00:46<00:33,  3.31it/s]
Loading 0:  62%|██████▏   | 181/291 [00:46<00:42,  2.58it/s]
Loading 0:  63%|██████▎   | 184/291 [00:47<00:23,  4.51it/s]
Loading 0:  64%|██████▎   | 185/291 [00:47<00:22,  4.75it/s]
Loading 0:  64%|██████▍   | 186/291 [00:47<00:19,  5.36it/s]
Loading 0:  64%|██████▍   | 187/291 [00:47<00:19,  5.43it/s]
Loading 0:  65%|██████▍   | 188/291 [00:48<00:29,  3.52it/s]
Loading 0:  65%|██████▍   | 189/291 [00:48<00:39,  2.61it/s]
Loading 0:  66%|██████▌   | 192/291 [00:49<00:27,  3.54it/s]
Loading 0:  66%|██████▋   | 193/291 [00:50<00:33,  2.92it/s]
Loading 0:  67%|██████▋   | 194/291 [00:50<00:40,  2.42it/s]
Loading 0:  68%|██████▊   | 197/291 [00:50<00:22,  4.11it/s]
Loading 0:  68%|██████▊   | 198/291 [00:51<00:21,  4.37it/s]
Loading 0:  68%|██████▊   | 199/291 [00:51<00:18,  4.94it/s]
Loading 0:  69%|██████▉   | 201/291 [00:51<00:21,  4.26it/s]
Loading 0:  69%|██████▉   | 202/291 [00:52<00:27,  3.26it/s]
Loading 0:  70%|██████▉   | 203/291 [00:52<00:33,  2.60it/s]
Loading 0:  71%|███████   | 206/291 [00:53<00:19,  4.43it/s]
Loading 0:  71%|███████   | 207/291 [00:53<00:17,  4.67it/s]
Loading 0:  71%|███████▏  | 208/291 [00:53<00:15,  5.24it/s]
Loading 0:  72%|███████▏  | 210/291 [00:53<00:18,  4.38it/s]
Loading 0:  73%|███████▎  | 211/291 [00:54<00:24,  3.30it/s]
Loading 0:  73%|███████▎  | 212/291 [00:55<00:30,  2.60it/s]
Loading 0:  74%|███████▍  | 215/291 [00:55<00:17,  4.47it/s]
Loading 0:  74%|███████▍  | 216/291 [00:55<00:15,  4.71it/s]
Loading 0:  75%|███████▍  | 217/291 [00:55<00:13,  5.29it/s]
Loading 0:  75%|███████▌  | 219/291 [00:56<00:16,  4.41it/s]
Loading 0:  76%|███████▌  | 220/291 [00:56<00:21,  3.32it/s]
Loading 0:  76%|███████▌  | 221/291 [00:57<00:26,  2.62it/s]
Loading 0:  77%|███████▋  | 224/291 [00:57<00:14,  4.49it/s]
Loading 0:  77%|███████▋  | 225/291 [00:57<00:13,  4.73it/s]
Loading 0:  78%|███████▊  | 226/291 [00:57<00:12,  5.32it/s]
Loading 0:  78%|███████▊  | 228/291 [00:58<00:14,  4.41it/s]
Loading 0:  79%|███████▊  | 229/291 [00:59<00:18,  3.32it/s]
Loading 0:  79%|███████▉  | 230/291 [00:59<00:23,  2.62it/s]
Loading 0:  80%|████████  | 233/291 [00:59<00:12,  4.47it/s]
Loading 0:  80%|████████  | 234/291 [01:00<00:12,  4.69it/s]
Loading 0:  81%|████████  | 235/291 [01:00<00:10,  5.23it/s]
Loading 0:  81%|████████▏ | 237/291 [01:00<00:12,  4.37it/s]
Loading 0:  82%|████████▏ | 238/291 [01:01<00:16,  3.31it/s]
Loading 0:  82%|████████▏ | 239/291 [01:01<00:19,  2.62it/s]
Loading 0:  83%|████████▎ | 242/291 [01:02<00:10,  4.50it/s]
Loading 0:  84%|████████▎ | 243/291 [01:02<00:10,  4.74it/s]
Loading 0:  84%|████████▍ | 244/291 [01:02<00:08,  5.31it/s]
Loading 0:  85%|████████▍ | 246/291 [01:03<00:10,  4.41it/s]
Loading 0:  85%|████████▍ | 247/291 [01:03<00:13,  3.33it/s]
Loading 0:  85%|████████▌ | 248/291 [01:04<00:16,  2.63it/s]
Loading 0:  86%|████████▋ | 251/291 [01:04<00:08,  4.53it/s]
Loading 0:  87%|████████▋ | 252/291 [01:04<00:08,  4.77it/s]
Loading 0:  87%|████████▋ | 253/291 [01:04<00:07,  5.34it/s]
Loading 0:  88%|████████▊ | 255/291 [01:05<00:08,  4.38it/s]
Loading 0:  88%|████████▊ | 256/291 [01:05<00:10,  3.31it/s]
Loading 0:  88%|████████▊ | 257/291 [01:06<00:12,  2.63it/s]
Loading 0:  89%|████████▉ | 260/291 [01:06<00:06,  4.53it/s]
Loading 0:  90%|████████▉ | 261/291 [01:06<00:06,  4.76it/s]
Loading 0:  90%|█████████ | 262/291 [01:06<00:05,  5.33it/s]
Loading 0:  91%|█████████ | 264/291 [01:07<00:06,  4.42it/s]
Loading 0:  91%|█████████ | 265/291 [01:08<00:07,  3.34it/s]
Loading 0:  91%|█████████▏| 266/291 [01:08<00:09,  2.63it/s]
Loading 0:  92%|█████████▏| 269/291 [01:08<00:04,  4.51it/s]
Loading 0:  93%|█████████▎| 270/291 [01:09<00:04,  4.74it/s]
Loading 0:  93%|█████████▎| 271/291 [01:09<00:03,  5.31it/s]
Loading 0:  94%|█████████▍| 273/291 [01:09<00:04,  4.31it/s]
Loading 0:  94%|█████████▍| 274/291 [01:10<00:05,  3.16it/s]
Loading 0:  95%|█████████▍| 275/291 [01:11<00:06,  2.52it/s]
Loading 0:  96%|█████████▌| 278/291 [01:11<00:02,  4.35it/s]
Loading 0:  96%|█████████▌| 279/291 [01:11<00:02,  4.60it/s]
Loading 0:  96%|█████████▌| 280/291 [01:11<00:02,  5.17it/s]
Loading 0:  97%|█████████▋| 281/291 [01:12<00:02,  3.52it/s]
Loading 0:  97%|█████████▋| 282/291 [01:12<00:03,  2.67it/s]
Loading 0:  98%|█████████▊| 284/291 [01:12<00:01,  3.89it/s]
Loading 0:  98%|█████████▊| 285/291 [01:13<00:01,  4.24it/s]
Loading 0:  98%|█████████▊| 286/291 [01:13<00:01,  4.92it/s]
Loading 0:  99%|█████████▊| 287/291 [01:13<00:00,  5.10it/s]
Loading 0:  99%|█████████▉| 288/291 [01:13<00:00,  3.34it/s]
                                                            
Job alexdaoud-trainer-bagir-7439-v1-mkmlizer completed after 146.14s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-7439-v1-mkmlizer
Pipeline stage MKMLizer completed in 146.72s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service alexdaoud-trainer-bagir-7439-v1
Waiting for inference service alexdaoud-trainer-bagir-7439-v1 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service alexdaoud-trainer-bagir-7439-v1 ready after 321.14037227630615s
Pipeline stage MKMLDeployer completed in 321.65s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.9236037731170654s
Received healthy response to inference request in 2.851635456085205s
Received healthy response to inference request in 2.6888434886932373s
Received healthy response to inference request in 3.2840309143066406s
Received healthy response to inference request in 2.514751434326172s
5 requests
0 failed requests
5th percentile: 2.549569845199585
10th percentile: 2.584388256072998
20th percentile: 2.654025077819824
30th percentile: 2.721401882171631
40th percentile: 2.786518669128418
50th percentile: 2.851635456085205
60th percentile: 3.024593639373779
70th percentile: 3.1975518226623536
80th percentile: 3.4119454860687255
90th percentile: 3.6677746295928957
95th percentile: 3.7956892013549806
99th percentile: 3.8980208587646485
mean time: 3.052573013305664
Pipeline stage StressChecker completed in 16.76s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 2.49s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 2.31s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_7439_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-7439-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-7439-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-7439-v1-profiler ready after 180.3981237411499s
Pipeline stage MKMLProfilerDeployer completed in 180.76s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-bae49a5e8dda867b96b03143cdc7958245-deplowf2gf:/code/chaiverse_profiler_1734009847 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-bae49a5e8dda867b96b03143cdc7958245-deplowf2gf --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734009847 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1734009847/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-bae49a5e8dda867b96b03143cdc7958245-deplowf2gf:/code/chaiverse_profiler_1734012645 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-bae49a5e8dda867b96b03143cdc7958245-deplowf2gf:/code/chaiverse_profiler_1734012646 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-bae49a5e8dda867b96b03143cdc7958245-deplowf2gf --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734012646 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1734012646/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-7439-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-7439-v1-profiler
Service alexdaoud-trainer-bagir-7439-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.29s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-7439-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.20s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-7439-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-7439-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-7439-v1-profiler ready after 80.20259690284729s
Pipeline stage MKMLProfilerDeployer completed in 80.53s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-bae49a5e8dda867b96b03143cdc7958245-deplonvjtw:/code/chaiverse_profiler_1734013381 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-bae49a5e8dda867b96b03143cdc7958245-deplonvjtw --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734013381 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1734013381/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-bae49a5e8dda867b96b03143cdc7958245-deplonvjtw:/code/chaiverse_profiler_1734016165 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-bae49a5e8dda867b96b03143cdc7958245-deplonvjtw:/code/chaiverse_profiler_1734016166 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-bae49a5e8dda867b96b03143cdc7958245-deplonvjtw --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734016166 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1734016166/summary.json'
kubectl exec -it alexdaoud-trainer-bae49a5e8dda867b96b03143cdc7958245-deplonvjtw --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1734016166/summary.json'
clean up pipeline due to error=ISVCScriptError('Command failed with error: The connection to the server 207.53.234.166 was refused - did you specify the right host or port?\n, output: ')
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-7439-v1-profiler is running
Retrying (%r) after connection broken by '%r': %s
Tearing down inference service alexdaoud-trainer-bagir-7439-v1-profiler
Retrying (%r) after connection broken by '%r': %s
Service alexdaoud-trainer-bagir-7439-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.06s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Retrying (%r) after connection broken by '%r': %s
Retrying (%r) after connection broken by '%r': %s
Retrying (%r) after connection broken by '%r': %s
Checking if service alexdaoud-trainer-bagir-7439-v1-profiler is running
Retrying (%r) after connection broken by '%r': %s
Retrying (%r) after connection broken by '%r': %s
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.29s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-7439-v1-profiler
Retrying (%r) after connection broken by '%r': %s
Waiting for inference service alexdaoud-trainer-bagir-7439-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-7439-v1-profiler ready after 340.7846100330353s
Pipeline stage MKMLProfilerDeployer completed in 341.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-bae49a5e8dda867b96b03143cdc7958245-deplonvjtw:/code/chaiverse_profiler_1734016884 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-bae49a5e8dda867b96b03143cdc7958245-deplonvjtw --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734016884 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1734016884/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-bae49a5e8dda867b96b03143cdc7958245-deplonvjtw:/code/chaiverse_profiler_1734016906 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-bae49a5e8dda867b96b03143cdc7958245-deplonvjtw:/code/chaiverse_profiler_1734016907 --namespace tenant-chaiml-guanaco
clean up pipeline due to error=ISVCScriptError('Command failed with error: Defaulted container "kserve-container" out of: kserve-container, queue-proxy\nerror: unable to upgrade connection: container not found ("kserve-container")\n, output: ')
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-7439-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-7439-v1-profiler
Service alexdaoud-trainer-bagir-7439-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.34s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_7439_v1 status is now inactive due to auto deactivation removed underperforming models