alexdaoud-trainer-bagir_16817

developer_uid: chai_backend_admin
submission_id: alexdaoud-trainer-bagir_16817_v2
model_name: alexdaoud-trainer-bagir_16817_v2
model_group: alexdaoud/trainer_bagir_
status: torndown
timestamp: 2025-01-23T16:41:04+00:00
num_battles: 10586
num_wins: 5697
celo_rating: 1293.07
family_friendly_score: 0.567
family_friendly_standard_error: 0.007007296197535822
submission_type: basic
model_repo: alexdaoud/trainer_bagir_2024-12-11-checkpoint-99
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 256
max_output_tokens: 1
reward_model: default
display_name: alexdaoud-trainer-bagir_16817_v2
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: alexdaoud/trainer_bagir_2024-12-11-checkpoint-99
model_size: 8B
ranking_group: single
us_pacific_date: 2025-01-23
win_ratio: 0.538163612318156
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-16817-v2-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-16817-v2-mkmlizer to finish
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║     _____            __           __                                ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║       /___/                                                         ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║  Version: 0.11.12                                                   ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║  https://mk1.ai                                                     ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║  belonging to:                                                      ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║  Chai Research Corp.                                                ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-16817-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-16817-v2-mkmlizer: quantized model in 83.531s
alexdaoud-trainer-bagir-16817-v2-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-99 in 115.944s
alexdaoud-trainer-bagir-16817-v2-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-16817-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-16817-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-16817-v2
alexdaoud-trainer-bagir-16817-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-16817-v2/config.json
alexdaoud-trainer-bagir-16817-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-16817-v2/special_tokens_map.json
alexdaoud-trainer-bagir-16817-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-16817-v2/tokenizer_config.json
alexdaoud-trainer-bagir-16817-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-16817-v2/tokenizer.json
alexdaoud-trainer-bagir-16817-v2-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   1%|          | 3/291 [00:00<00:55,  5.21it/s]
Loading 0:   1%|▏         | 4/291 [00:01<01:30,  3.18it/s]
Loading 0:   2%|▏         | 5/291 [00:01<01:59,  2.39it/s]
Loading 0:   3%|▎         | 8/291 [00:02<01:02,  4.56it/s]
Loading 0:   3%|▎         | 9/291 [00:02<01:01,  4.61it/s]
Loading 0:   3%|▎         | 10/291 [00:02<00:53,  5.25it/s]
Loading 0:   4%|▍         | 12/291 [00:02<01:03,  4.38it/s]
Loading 0:   4%|▍         | 13/291 [00:03<01:26,  3.21it/s]
Loading 0:   5%|▍         | 14/291 [00:04<01:49,  2.52it/s]
Loading 0:   6%|▌         | 17/291 [00:04<01:02,  4.35it/s]
Loading 0:   6%|▌         | 18/291 [00:04<00:59,  4.58it/s]
Loading 0:   7%|▋         | 19/291 [00:04<00:52,  5.19it/s]
Loading 0:   7%|▋         | 21/291 [00:05<01:01,  4.37it/s]
Loading 0:   8%|▊         | 22/291 [00:05<01:21,  3.31it/s]
Loading 0:   8%|▊         | 23/291 [00:06<01:41,  2.64it/s]
Loading 0:   9%|▉         | 26/291 [00:06<00:58,  4.50it/s]
Loading 0:   9%|▉         | 27/291 [00:06<00:55,  4.73it/s]
Loading 0:  10%|█         | 30/291 [00:07<00:56,  4.64it/s]
Loading 0:  11%|█         | 31/291 [00:08<01:12,  3.59it/s]
Loading 0:  11%|█         | 32/291 [00:08<01:31,  2.83it/s]
Loading 0:  12%|█▏        | 35/291 [00:08<00:56,  4.54it/s]
Loading 0:  12%|█▏        | 36/291 [00:09<00:53,  4.75it/s]
Loading 0:  13%|█▎        | 39/291 [00:09<00:54,  4.60it/s]
Loading 0:  14%|█▎        | 40/291 [00:10<01:10,  3.56it/s]
Loading 0:  14%|█▍        | 41/291 [00:10<01:27,  2.85it/s]
Loading 0:  15%|█▌        | 44/291 [00:11<00:55,  4.45it/s]
Loading 0:  15%|█▌        | 45/291 [00:11<00:52,  4.66it/s]
Loading 0:  16%|█▋        | 48/291 [00:11<00:52,  4.59it/s]
Loading 0:  17%|█▋        | 49/291 [00:12<01:08,  3.56it/s]
Loading 0:  17%|█▋        | 50/291 [00:13<01:25,  2.83it/s]
Loading 0:  18%|█▊        | 53/291 [00:13<00:52,  4.53it/s]
Loading 0:  19%|█▊        | 54/291 [00:13<00:49,  4.74it/s]
Loading 0:  20%|█▉        | 57/291 [00:14<00:50,  4.62it/s]
Loading 0:  20%|█▉        | 58/291 [00:14<01:04,  3.62it/s]
Loading 0:  20%|██        | 59/291 [00:15<01:20,  2.90it/s]
Loading 0:  21%|██▏       | 62/291 [00:15<00:49,  4.63it/s]
Loading 0:  22%|██▏       | 63/291 [00:15<00:47,  4.84it/s]
Loading 0:  23%|██▎       | 66/291 [00:16<00:47,  4.70it/s]
Loading 0:  23%|██▎       | 67/291 [00:17<01:01,  3.66it/s]
Loading 0:  23%|██▎       | 68/291 [00:17<01:17,  2.89it/s]
Loading 0:  24%|██▍       | 71/291 [00:17<00:47,  4.62it/s]
Loading 0:  25%|██▍       | 72/291 [00:18<00:45,  4.83it/s]
Loading 0:  25%|██▌       | 73/291 [00:18<00:41,  5.26it/s]
Loading 0:  26%|██▌       | 75/291 [00:18<00:48,  4.45it/s]
Loading 0:  26%|██▌       | 76/291 [00:19<01:04,  3.32it/s]
Loading 0:  26%|██▋       | 77/291 [00:19<01:20,  2.66it/s]
Loading 0:  27%|██▋       | 80/291 [00:20<00:47,  4.47it/s]
Loading 0:  28%|██▊       | 81/291 [00:20<00:44,  4.67it/s]
Loading 0:  28%|██▊       | 82/291 [00:20<00:40,  5.15it/s]
Loading 0:  29%|██▊       | 83/291 [00:20<00:43,  4.83it/s]
Loading 0:  29%|██▉       | 84/291 [00:21<01:01,  3.36it/s]
Loading 0:  29%|██▉       | 85/291 [00:21<01:15,  2.71it/s]
Loading 0:  30%|██▉       | 86/291 [00:22<01:30,  2.28it/s]
Loading 0:  31%|███       | 89/291 [00:22<00:48,  4.19it/s]
Loading 0:  31%|███       | 90/291 [00:22<00:44,  4.48it/s]
Loading 0:  32%|███▏      | 93/291 [00:23<00:43,  4.51it/s]
Loading 0:  32%|███▏      | 94/291 [00:24<00:55,  3.52it/s]
Loading 0:  33%|███▎      | 95/291 [00:24<01:09,  2.81it/s]
Loading 0:  34%|███▎      | 98/291 [00:24<00:42,  4.58it/s]
Loading 0:  34%|███▍      | 99/291 [00:25<00:40,  4.80it/s]
Loading 0:  35%|███▌      | 102/291 [00:25<00:40,  4.67it/s]
Loading 0:  35%|███▌      | 103/291 [00:26<00:51,  3.64it/s]
Loading 0:  36%|███▌      | 104/291 [00:26<01:05,  2.87it/s]
Loading 0:  37%|███▋      | 107/291 [00:27<00:40,  4.56it/s]
Loading 0:  37%|███▋      | 108/291 [00:27<00:38,  4.77it/s]
Loading 0:  37%|███▋      | 109/291 [00:27<00:34,  5.31it/s]
Loading 0:  38%|███▊      | 111/291 [00:27<00:40,  4.50it/s]
Loading 0:  38%|███▊      | 112/291 [00:28<00:52,  3.41it/s]
Loading 0:  39%|███▉      | 113/291 [00:29<01:06,  2.68it/s]
Loading 0:  40%|███▉      | 116/291 [00:29<00:38,  4.51it/s]
Loading 0:  40%|████      | 117/291 [00:29<00:36,  4.74it/s]
Loading 0:  41%|████      | 118/291 [00:29<00:32,  5.33it/s]
Loading 0:  41%|████      | 120/291 [00:30<00:38,  4.45it/s]
Loading 0:  42%|████▏     | 121/291 [00:30<00:50,  3.37it/s]
Loading 0:  42%|████▏     | 122/291 [00:31<01:03,  2.67it/s]
Loading 0:  43%|████▎     | 125/291 [00:31<00:36,  4.53it/s]
Loading 0:  43%|████▎     | 126/291 [00:31<00:34,  4.72it/s]
Loading 0:  44%|████▍     | 129/291 [00:32<00:35,  4.62it/s]
Loading 0:  45%|████▍     | 130/291 [00:32<00:44,  3.61it/s]
Loading 0:  45%|████▌     | 131/291 [00:33<00:56,  2.81it/s]
Loading 0:  46%|████▌     | 134/291 [00:33<00:34,  4.51it/s]
Loading 0:  46%|████▋     | 135/291 [00:33<00:32,  4.74it/s]
Loading 0:  47%|████▋     | 138/291 [00:34<00:32,  4.65it/s]
Loading 0:  48%|████▊     | 139/291 [00:35<00:42,  3.58it/s]
Loading 0:  48%|████▊     | 140/291 [00:35<00:52,  2.88it/s]
Loading 0:  49%|████▉     | 143/291 [00:36<00:32,  4.56it/s]
Loading 0:  49%|████▉     | 144/291 [00:36<00:30,  4.78it/s]
Loading 0:  51%|█████     | 147/291 [00:36<00:30,  4.67it/s]
Loading 0:  51%|█████     | 148/291 [00:37<00:39,  3.66it/s]
Loading 0:  51%|█████     | 149/291 [00:38<00:48,  2.93it/s]
Loading 0:  52%|█████▏    | 152/291 [00:38<00:30,  4.62it/s]
Loading 0:  53%|█████▎    | 153/291 [00:38<00:28,  4.84it/s]
Loading 0:  53%|█████▎    | 154/291 [00:38<00:25,  5.38it/s]
Loading 0:  54%|█████▎    | 156/291 [00:39<00:29,  4.52it/s]
Loading 0:  54%|█████▍    | 157/291 [00:39<00:39,  3.43it/s]
Loading 0:  54%|█████▍    | 158/291 [00:40<00:49,  2.68it/s]
Loading 0:  55%|█████▌    | 161/291 [00:40<00:28,  4.57it/s]
Loading 0:  56%|█████▌    | 162/291 [00:40<00:26,  4.80it/s]
Loading 0:  56%|█████▌    | 163/291 [00:40<00:24,  5.24it/s]
Loading 0:  57%|█████▋    | 165/291 [00:41<00:28,  4.44it/s]
Loading 0:  57%|█████▋    | 166/291 [00:41<00:37,  3.38it/s]
Loading 0:  57%|█████▋    | 167/291 [00:42<00:46,  2.67it/s]
Loading 0:  58%|█████▊    | 170/291 [00:42<00:26,  4.60it/s]
Loading 0:  59%|█████▉    | 171/291 [00:42<00:24,  4.84it/s]
Loading 0:  59%|█████▉    | 173/291 [00:43<00:29,  4.01it/s]
Loading 0:  60%|██████    | 175/291 [00:43<00:22,  5.10it/s]
Loading 0:  60%|██████    | 176/291 [00:43<00:21,  5.28it/s]
Loading 0:  61%|██████    | 177/291 [00:43<00:19,  5.84it/s]
Loading 0:  62%|██████▏   | 179/291 [00:44<00:23,  4.70it/s]
Loading 0:  62%|██████▏   | 180/291 [00:45<00:31,  3.48it/s]
Loading 0:  62%|██████▏   | 181/291 [00:45<00:40,  2.74it/s]
Loading 0:  63%|██████▎   | 184/291 [00:45<00:22,  4.71it/s]
Loading 0:  64%|██████▎   | 185/291 [00:46<00:21,  4.95it/s]
Loading 0:  64%|██████▍   | 187/291 [00:46<00:18,  5.54it/s]
Loading 0:  65%|██████▍   | 188/291 [00:46<00:26,  3.89it/s]
Loading 0:  65%|██████▍   | 189/291 [00:47<00:34,  2.97it/s]
Loading 0:  66%|██████▌   | 192/291 [00:48<00:26,  3.79it/s]
Loading 0:  66%|██████▋   | 193/291 [00:48<00:31,  3.13it/s]
Loading 0:  67%|██████▋   | 194/291 [00:49<00:37,  2.59it/s]
Loading 0:  68%|██████▊   | 197/291 [00:49<00:21,  4.28it/s]
Loading 0:  68%|██████▊   | 198/291 [00:49<00:20,  4.55it/s]
Loading 0:  69%|██████▉   | 201/291 [00:50<00:19,  4.55it/s]
Loading 0:  69%|██████▉   | 202/291 [00:50<00:24,  3.59it/s]
Loading 0:  70%|██████▉   | 203/291 [00:51<00:30,  2.87it/s]
Loading 0:  71%|███████   | 206/291 [00:51<00:18,  4.55it/s]
Loading 0:  71%|███████   | 207/291 [00:51<00:17,  4.78it/s]
Loading 0:  72%|███████▏  | 210/291 [00:52<00:17,  4.70it/s]
Loading 0:  73%|███████▎  | 211/291 [00:53<00:21,  3.67it/s]
Loading 0:  73%|███████▎  | 212/291 [00:53<00:26,  2.94it/s]
Loading 0:  74%|███████▍  | 215/291 [00:53<00:16,  4.63it/s]
Loading 0:  74%|███████▍  | 216/291 [00:54<00:15,  4.85it/s]
Loading 0:  75%|███████▌  | 219/291 [00:54<00:15,  4.72it/s]
Loading 0:  76%|███████▌  | 220/291 [00:55<00:19,  3.69it/s]
Loading 0:  76%|███████▌  | 221/291 [00:55<00:23,  2.95it/s]
Loading 0:  77%|███████▋  | 224/291 [00:56<00:14,  4.65it/s]
Loading 0:  77%|███████▋  | 225/291 [00:56<00:13,  4.88it/s]
Loading 0:  78%|███████▊  | 226/291 [00:56<00:11,  5.43it/s]
Loading 0:  78%|███████▊  | 228/291 [00:56<00:13,  4.56it/s]
Loading 0:  79%|███████▊  | 229/291 [00:57<00:17,  3.45it/s]
Loading 0:  79%|███████▉  | 230/291 [00:58<00:22,  2.73it/s]
Loading 0:  80%|████████  | 233/291 [00:58<00:12,  4.60it/s]
Loading 0:  80%|████████  | 234/291 [00:58<00:11,  4.84it/s]
Loading 0:  81%|████████▏ | 237/291 [00:59<00:11,  4.71it/s]
Loading 0:  82%|████████▏ | 238/291 [00:59<00:14,  3.66it/s]
Loading 0:  82%|████████▏ | 239/291 [01:00<00:17,  2.89it/s]
Loading 0:  83%|████████▎ | 242/291 [01:00<00:10,  4.67it/s]
Loading 0:  84%|████████▎ | 243/291 [01:00<00:09,  4.89it/s]
Loading 0:  84%|████████▍ | 245/291 [01:00<00:06,  6.58it/s]
Loading 0:  85%|████████▍ | 247/291 [01:01<00:12,  3.51it/s]
Loading 0:  85%|████████▌ | 248/291 [01:02<00:15,  2.85it/s]
Loading 0:  86%|████████▋ | 251/291 [01:02<00:08,  4.50it/s]
Loading 0:  87%|████████▋ | 252/291 [01:02<00:08,  4.73it/s]
Loading 0:  88%|████████▊ | 255/291 [01:03<00:07,  4.65it/s]
Loading 0:  88%|████████▊ | 256/291 [01:04<00:09,  3.67it/s]
Loading 0:  88%|████████▊ | 257/291 [01:04<00:11,  2.94it/s]
Loading 0:  89%|████████▉ | 260/291 [01:04<00:06,  4.68it/s]
Loading 0:  90%|████████▉ | 261/291 [01:05<00:06,  4.90it/s]
Loading 0:  90%|█████████ | 262/291 [01:05<00:05,  5.45it/s]
Loading 0:  91%|█████████ | 264/291 [01:05<00:05,  4.57it/s]
Loading 0:  91%|█████████ | 265/291 [01:06<00:07,  3.47it/s]
Loading 0:  91%|█████████▏| 266/291 [01:06<00:09,  2.74it/s]
Loading 0:  92%|█████████▏| 269/291 [01:07<00:04,  4.66it/s]
Loading 0:  93%|█████████▎| 270/291 [01:07<00:04,  4.89it/s]
Loading 0:  93%|█████████▎| 272/291 [01:07<00:02,  6.65it/s]
Loading 0:  94%|█████████▍| 274/291 [01:08<00:04,  3.48it/s]
Loading 0:  95%|█████████▍| 275/291 [01:09<00:05,  2.82it/s]
Loading 0:  96%|█████████▌| 278/291 [01:09<00:02,  4.51it/s]
Loading 0:  96%|█████████▌| 279/291 [01:09<00:02,  4.73it/s]
Loading 0:  97%|█████████▋| 281/291 [01:10<00:02,  3.99it/s]
Loading 0:  97%|█████████▋| 282/291 [01:10<00:02,  3.09it/s]
Loading 0:  98%|█████████▊| 284/291 [01:10<00:01,  4.10it/s]
Loading 0:  98%|█████████▊| 285/291 [01:11<00:01,  4.40it/s]
Loading 0:  98%|█████████▊| 286/291 [01:11<00:00,  5.03it/s]
Loading 0:  99%|█████████▊| 287/291 [01:11<00:00,  5.10it/s]
Loading 0:  99%|█████████▉| 288/291 [01:11<00:00,  3.34it/s]
                                                            
Job alexdaoud-trainer-bagir-16817-v2-mkmlizer completed after 145.16s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-16817-v2-mkmlizer
Pipeline stage MKMLizer completed in 145.61s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service alexdaoud-trainer-bagir-16817-v2
Waiting for inference service alexdaoud-trainer-bagir-16817-v2 to be ready
Inference service alexdaoud-trainer-bagir-16817-v2 ready after 140.50419735908508s
Pipeline stage MKMLDeployer completed in 140.99s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 5.90282130241394s
Received healthy response to inference request in 5.677273273468018s
Received healthy response to inference request in 2.642332077026367s
Received healthy response to inference request in 2.2179837226867676s
Received healthy response to inference request in 2.1089224815368652s
5 requests
0 failed requests
5th percentile: 2.1307347297668455
10th percentile: 2.1525469779968263
20th percentile: 2.1961714744567873
30th percentile: 2.3028533935546873
40th percentile: 2.4725927352905273
50th percentile: 2.642332077026367
60th percentile: 3.856308555603027
70th percentile: 5.070285034179687
80th percentile: 5.722382879257202
90th percentile: 5.812602090835571
95th percentile: 5.857711696624756
99th percentile: 5.893799381256104
mean time: 3.7098665714263914
%s, retrying in %s seconds...
Received healthy response to inference request in 3.3571529388427734s
Received healthy response to inference request in 2.902005910873413s
Received healthy response to inference request in 2.4421868324279785s
Received healthy response to inference request in 3.915287733078003s
Received healthy response to inference request in 2.363029956817627s
5 requests
0 failed requests
5th percentile: 2.378861331939697
10th percentile: 2.3946927070617674
20th percentile: 2.4263554573059083
30th percentile: 2.5341506481170653
40th percentile: 2.718078279495239
50th percentile: 2.902005910873413
60th percentile: 3.0840647220611572
70th percentile: 3.2661235332489014
80th percentile: 3.4687798976898194
90th percentile: 3.692033815383911
95th percentile: 3.803660774230957
99th percentile: 3.8929623413085936
mean time: 2.995932674407959
Pipeline stage StressChecker completed in 36.05s
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 0.70s
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 0.68s
Shutdown handler de-registered
alexdaoud-trainer-bagir_16817_v2 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 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-16817-v2-profiler
Waiting for inference service alexdaoud-trainer-bagir-16817-v2-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4340.08s
Shutdown handler de-registered
alexdaoud-trainer-bagir_16817_v2 status is now inactive due to auto deactivation removed underperforming models
alexdaoud-trainer-bagir_16817_v2 status is now torndown due to DeploymentManager action