alexdaoud-trainer-bagir-_6558

developer_uid: chai_backend_admin
submission_id: alexdaoud-trainer-bagir-_6558_v1
model_name: alexdaoud-trainer-bagir-_6558_v1
model_group: alexdaoud/trainer_bagir_
status: inactive
timestamp: 2024-12-17T01:49:51+00:00
num_battles: 29615
num_wins: 14935
celo_rating: 1266.21
family_friendly_score: 0.5794
family_friendly_standard_error: 0.0069813414183808545
submission_type: basic
model_repo: alexdaoud/trainer_bagir_2024-12-11-checkpoint-74
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 256
max_output_tokens: 1
display_name: alexdaoud-trainer-bagir-_6558_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: alexdaoud/trainer_bagir_2024-12-11-checkpoint-74
model_size: 8B
ranking_group: single
us_pacific_date: 2024-12-16
win_ratio: 0.5043052507175417
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-6558-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-6558-v1-mkmlizer to finish
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║     _____            __           __                                ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║       /___/                                                         ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║  https://mk1.ai                                                     ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║  belonging to:                                                      ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║  Chai Research Corp.                                                ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-6558-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-6558-v1-mkmlizer: Downloaded to shared memory in 30.901s
alexdaoud-trainer-bagir-6558-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpxabtzdki, device:0
alexdaoud-trainer-bagir-6558-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-6558-v1-mkmlizer: quantized model in 85.714s
alexdaoud-trainer-bagir-6558-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-74 in 116.615s
alexdaoud-trainer-bagir-6558-v1-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-6558-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-6558-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6558-v1
alexdaoud-trainer-bagir-6558-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6558-v1/config.json
alexdaoud-trainer-bagir-6558-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6558-v1/special_tokens_map.json
alexdaoud-trainer-bagir-6558-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6558-v1/tokenizer.json
alexdaoud-trainer-bagir-6558-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-6558-v1/flywheel_model.0.safetensors
alexdaoud-trainer-bagir-6558-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   1%|          | 3/291 [00:00<00:57,  5.01it/s]
Loading 0:   1%|▏         | 4/291 [00:01<01:32,  3.09it/s]
Loading 0:   2%|▏         | 5/291 [00:01<02:05,  2.27it/s]
Loading 0:   3%|▎         | 8/291 [00:02<01:04,  4.37it/s]
Loading 0:   3%|▎         | 9/291 [00:02<01:03,  4.45it/s]
Loading 0:   3%|▎         | 10/291 [00:02<00:55,  5.09it/s]
Loading 0:   4%|▍         | 12/291 [00:02<01:05,  4.28it/s]
Loading 0:   4%|▍         | 13/291 [00:03<01:26,  3.22it/s]
Loading 0:   5%|▍         | 14/291 [00:04<01:48,  2.56it/s]
Loading 0:   6%|▌         | 17/291 [00:04<01:02,  4.38it/s]
Loading 0:   6%|▌         | 18/291 [00:04<00:59,  4.61it/s]
Loading 0:   7%|▋         | 19/291 [00:04<00:53,  5.12it/s]
Loading 0:   7%|▋         | 21/291 [00:05<01:02,  4.33it/s]
Loading 0:   8%|▊         | 22/291 [00:05<01:22,  3.27it/s]
Loading 0:   8%|▊         | 23/291 [00:06<01:42,  2.61it/s]
Loading 0:   9%|▉         | 26/291 [00:06<00:59,  4.44it/s]
Loading 0:   9%|▉         | 27/291 [00:06<00:56,  4.66it/s]
Loading 0:  10%|▉         | 28/291 [00:06<00:50,  5.17it/s]
Loading 0:  10%|█         | 30/291 [00:07<01:00,  4.34it/s]
Loading 0:  11%|█         | 31/291 [00:08<01:19,  3.27it/s]
Loading 0:  11%|█         | 32/291 [00:08<01:41,  2.56it/s]
Loading 0:  12%|█▏        | 35/291 [00:09<00:58,  4.36it/s]
Loading 0:  12%|█▏        | 36/291 [00:09<00:55,  4.61it/s]
Loading 0:  13%|█▎        | 37/291 [00:09<00:48,  5.21it/s]
Loading 0:  13%|█▎        | 39/291 [00:09<00:57,  4.35it/s]
Loading 0:  14%|█▎        | 40/291 [00:10<01:16,  3.30it/s]
Loading 0:  14%|█▍        | 41/291 [00:11<01:37,  2.56it/s]
Loading 0:  15%|█▌        | 44/291 [00:11<00:56,  4.41it/s]
Loading 0:  15%|█▌        | 45/291 [00:11<00:53,  4.62it/s]
Loading 0:  16%|█▌        | 46/291 [00:11<00:47,  5.18it/s]
Loading 0:  16%|█▋        | 48/291 [00:12<00:55,  4.34it/s]
Loading 0:  17%|█▋        | 49/291 [00:12<01:14,  3.24it/s]
Loading 0:  17%|█▋        | 50/291 [00:13<01:33,  2.57it/s]
Loading 0:  18%|█▊        | 53/291 [00:13<00:54,  4.37it/s]
Loading 0:  19%|█▊        | 54/291 [00:13<00:51,  4.60it/s]
Loading 0:  19%|█▉        | 55/291 [00:13<00:46,  5.11it/s]
Loading 0:  20%|█▉        | 57/291 [00:14<00:54,  4.33it/s]
Loading 0:  20%|█▉        | 58/291 [00:15<01:10,  3.29it/s]
Loading 0:  20%|██        | 59/291 [00:15<01:29,  2.59it/s]
Loading 0:  21%|██▏       | 62/291 [00:15<00:52,  4.40it/s]
Loading 0:  22%|██▏       | 63/291 [00:16<00:49,  4.64it/s]
Loading 0:  22%|██▏       | 64/291 [00:16<00:43,  5.21it/s]
Loading 0:  23%|██▎       | 66/291 [00:16<00:51,  4.37it/s]
Loading 0:  23%|██▎       | 67/291 [00:17<01:07,  3.30it/s]
Loading 0:  23%|██▎       | 68/291 [00:18<01:26,  2.58it/s]
Loading 0:  24%|██▍       | 71/291 [00:18<00:50,  4.38it/s]
Loading 0:  25%|██▍       | 72/291 [00:18<00:47,  4.62it/s]
Loading 0:  25%|██▌       | 73/291 [00:18<00:41,  5.22it/s]
Loading 0:  26%|██▌       | 75/291 [00:19<00:49,  4.37it/s]
Loading 0:  26%|██▌       | 76/291 [00:19<01:05,  3.30it/s]
Loading 0:  26%|██▋       | 77/291 [00:20<01:22,  2.59it/s]
Loading 0:  27%|██▋       | 80/291 [00:20<00:48,  4.39it/s]
Loading 0:  28%|██▊       | 81/291 [00:20<00:45,  4.62it/s]
Loading 0:  28%|██▊       | 82/291 [00:20<00:40,  5.17it/s]
Loading 0:  29%|██▊       | 83/291 [00:21<00:41,  5.07it/s]
Loading 0:  29%|██▉       | 84/291 [00:21<01:00,  3.42it/s]
Loading 0:  29%|██▉       | 85/291 [00:22<01:15,  2.72it/s]
Loading 0:  30%|██▉       | 86/291 [00:22<01:32,  2.22it/s]
Loading 0:  31%|███       | 89/291 [00:23<00:48,  4.16it/s]
Loading 0:  31%|███       | 90/291 [00:23<00:45,  4.45it/s]
Loading 0:  31%|███▏      | 91/291 [00:23<00:39,  5.06it/s]
Loading 0:  32%|███▏      | 93/291 [00:23<00:46,  4.29it/s]
Loading 0:  32%|███▏      | 94/291 [00:24<01:00,  3.26it/s]
Loading 0:  33%|███▎      | 95/291 [00:25<01:15,  2.59it/s]
Loading 0:  34%|███▎      | 98/291 [00:25<00:43,  4.45it/s]
Loading 0:  34%|███▍      | 99/291 [00:25<00:40,  4.69it/s]
Loading 0:  34%|███▍      | 100/291 [00:25<00:36,  5.30it/s]
Loading 0:  35%|███▌      | 102/291 [00:26<00:42,  4.41it/s]
Loading 0:  35%|███▌      | 103/291 [00:26<00:56,  3.32it/s]
Loading 0:  36%|███▌      | 104/291 [00:27<01:11,  2.61it/s]
Loading 0:  37%|███▋      | 107/291 [00:27<00:41,  4.44it/s]
Loading 0:  37%|███▋      | 108/291 [00:27<00:39,  4.67it/s]
Loading 0:  37%|███▋      | 109/291 [00:27<00:34,  5.26it/s]
Loading 0:  38%|███▊      | 111/291 [00:28<00:40,  4.40it/s]
Loading 0:  38%|███▊      | 112/291 [00:28<00:53,  3.33it/s]
Loading 0:  39%|███▉      | 113/291 [00:29<01:07,  2.62it/s]
Loading 0:  40%|███▉      | 116/291 [00:29<00:39,  4.43it/s]
Loading 0:  40%|████      | 117/291 [00:29<00:37,  4.65it/s]
Loading 0:  41%|████      | 118/291 [00:30<00:33,  5.19it/s]
Loading 0:  41%|████      | 120/291 [00:30<00:39,  4.37it/s]
Loading 0:  42%|████▏     | 121/291 [00:31<00:51,  3.29it/s]
Loading 0:  42%|████▏     | 122/291 [00:31<01:05,  2.58it/s]
Loading 0:  43%|████▎     | 125/291 [00:32<00:37,  4.38it/s]
Loading 0:  43%|████▎     | 126/291 [00:32<00:36,  4.50it/s]
Loading 0:  44%|████▎     | 127/291 [00:32<00:32,  5.08it/s]
Loading 0:  44%|████▍     | 129/291 [00:32<00:37,  4.30it/s]
Loading 0:  45%|████▍     | 130/291 [00:33<00:49,  3.26it/s]
Loading 0:  45%|████▌     | 131/291 [00:34<01:01,  2.60it/s]
Loading 0:  46%|████▌     | 134/291 [00:34<00:35,  4.40it/s]
Loading 0:  46%|████▋     | 135/291 [00:34<00:33,  4.64it/s]
Loading 0:  47%|████▋     | 136/291 [00:34<00:30,  5.16it/s]
Loading 0:  47%|████▋     | 138/291 [00:35<00:35,  4.36it/s]
Loading 0:  48%|████▊     | 139/291 [00:35<00:45,  3.30it/s]
Loading 0:  48%|████▊     | 140/291 [00:36<00:57,  2.62it/s]
Loading 0:  49%|████▉     | 143/291 [00:36<00:33,  4.44it/s]
Loading 0:  49%|████▉     | 144/291 [00:36<00:31,  4.69it/s]
Loading 0:  50%|████▉     | 145/291 [00:36<00:27,  5.28it/s]
Loading 0:  51%|█████     | 147/291 [00:37<00:32,  4.40it/s]
Loading 0:  51%|█████     | 148/291 [00:38<00:43,  3.32it/s]
Loading 0:  51%|█████     | 149/291 [00:38<00:54,  2.61it/s]
Loading 0:  52%|█████▏    | 152/291 [00:38<00:30,  4.49it/s]
Loading 0:  53%|█████▎    | 153/291 [00:39<00:29,  4.73it/s]
Loading 0:  53%|█████▎    | 154/291 [00:39<00:25,  5.33it/s]
Loading 0:  54%|█████▎    | 156/291 [00:39<00:30,  4.43it/s]
Loading 0:  54%|█████▍    | 157/291 [00:40<00:40,  3.33it/s]
Loading 0:  54%|█████▍    | 158/291 [00:41<00:50,  2.63it/s]
Loading 0:  55%|█████▌    | 161/291 [00:41<00:28,  4.52it/s]
Loading 0:  56%|█████▌    | 162/291 [00:41<00:27,  4.75it/s]
Loading 0:  56%|█████▌    | 163/291 [00:41<00:24,  5.33it/s]
Loading 0:  57%|█████▋    | 165/291 [00:42<00:28,  4.41it/s]
Loading 0:  57%|█████▋    | 166/291 [00:42<00:37,  3.30it/s]
Loading 0:  57%|█████▋    | 167/291 [00:43<00:47,  2.61it/s]
Loading 0:  58%|█████▊    | 170/291 [00:43<00:26,  4.49it/s]
Loading 0:  59%|█████▉    | 171/291 [00:43<00:25,  4.73it/s]
Loading 0:  59%|█████▉    | 172/291 [00:43<00:22,  5.32it/s]
Loading 0:  59%|█████▉    | 173/291 [00:44<00:32,  3.59it/s]
Loading 0:  60%|██████    | 175/291 [00:44<00:23,  4.84it/s]
Loading 0:  60%|██████    | 176/291 [00:44<00:22,  5.07it/s]
Loading 0:  61%|██████    | 177/291 [00:44<00:19,  5.74it/s]
Loading 0:  62%|██████▏   | 179/291 [00:45<00:24,  4.54it/s]
Loading 0:  62%|██████▏   | 180/291 [00:45<00:33,  3.33it/s]
Loading 0:  62%|██████▏   | 181/291 [00:46<00:42,  2.60it/s]
Loading 0:  63%|██████▎   | 184/291 [00:46<00:23,  4.55it/s]
Loading 0:  64%|██████▎   | 185/291 [00:46<00:22,  4.80it/s]
Loading 0:  64%|██████▍   | 186/291 [00:47<00:19,  5.40it/s]
Loading 0:  64%|██████▍   | 187/291 [00:47<00:19,  5.40it/s]
Loading 0:  65%|██████▍   | 188/291 [00:47<00:29,  3.54it/s]
Loading 0:  65%|██████▍   | 189/291 [00:48<00:38,  2.67it/s]
Loading 0:  66%|██████▌   | 192/291 [00:48<00:27,  3.61it/s]
Loading 0:  66%|██████▋   | 193/291 [00:49<00:32,  2.98it/s]
Loading 0:  67%|██████▋   | 194/291 [00:50<00:39,  2.48it/s]
Loading 0:  68%|██████▊   | 197/291 [00:50<00:22,  4.18it/s]
Loading 0:  68%|██████▊   | 198/291 [00:50<00:20,  4.44it/s]
Loading 0:  68%|██████▊   | 199/291 [00:50<00:18,  4.98it/s]
Loading 0:  69%|██████▉   | 201/291 [00:51<00:20,  4.30it/s]
Loading 0:  69%|██████▉   | 202/291 [00:51<00:27,  3.28it/s]
Loading 0:  70%|██████▉   | 203/291 [00:52<00:33,  2.61it/s]
Loading 0:  71%|███████   | 206/291 [00:52<00:19,  4.41it/s]
Loading 0:  71%|███████   | 207/291 [00:52<00:18,  4.65it/s]
Loading 0:  71%|███████▏  | 208/291 [00:52<00:15,  5.25it/s]
Loading 0:  72%|███████▏  | 210/291 [00:53<00:18,  4.43it/s]
Loading 0:  73%|███████▎  | 211/291 [00:54<00:24,  3.33it/s]
Loading 0:  73%|███████▎  | 212/291 [00:54<00:29,  2.64it/s]
Loading 0:  74%|███████▍  | 215/291 [00:54<00:16,  4.53it/s]
Loading 0:  74%|███████▍  | 216/291 [00:55<00:15,  4.77it/s]
Loading 0:  75%|███████▍  | 217/291 [00:55<00:13,  5.36it/s]
Loading 0:  75%|███████▌  | 219/291 [00:55<00:16,  4.43it/s]
Loading 0:  76%|███████▌  | 220/291 [00:56<00:21,  3.33it/s]
Loading 0:  76%|███████▌  | 221/291 [00:56<00:26,  2.63it/s]
Loading 0:  77%|███████▋  | 224/291 [00:57<00:14,  4.51it/s]
Loading 0:  77%|███████▋  | 225/291 [00:57<00:13,  4.75it/s]
Loading 0:  78%|███████▊  | 226/291 [00:57<00:12,  5.32it/s]
Loading 0:  78%|███████▊  | 228/291 [00:57<00:14,  4.44it/s]
Loading 0:  79%|███████▊  | 229/291 [00:58<00:18,  3.35it/s]
Loading 0:  79%|███████▉  | 230/291 [00:59<00:22,  2.66it/s]
Loading 0:  80%|████████  | 233/291 [00:59<00:12,  4.56it/s]
Loading 0:  80%|████████  | 234/291 [00:59<00:11,  4.80it/s]
Loading 0:  81%|████████  | 235/291 [00:59<00:10,  5.38it/s]
Loading 0:  81%|████████▏ | 237/291 [01:00<00:12,  4.47it/s]
Loading 0:  82%|████████▏ | 238/291 [01:00<00:15,  3.36it/s]
Loading 0:  82%|████████▏ | 239/291 [01:01<00:19,  2.65it/s]
Loading 0:  83%|████████▎ | 242/291 [01:01<00:10,  4.55it/s]
Loading 0:  84%|████████▎ | 243/291 [01:01<00:10,  4.74it/s]
Loading 0:  84%|████████▍ | 244/291 [01:01<00:08,  5.31it/s]
Loading 0:  85%|████████▍ | 246/291 [01:02<00:10,  4.43it/s]
Loading 0:  85%|████████▍ | 247/291 [01:03<00:13,  3.33it/s]
Loading 0:  85%|████████▌ | 248/291 [01:03<00:16,  2.64it/s]
Loading 0:  86%|████████▋ | 251/291 [01:03<00:08,  4.54it/s]
Loading 0:  87%|████████▋ | 252/291 [01:04<00:08,  4.78it/s]
Loading 0:  87%|████████▋ | 253/291 [01:04<00:07,  5.38it/s]
Loading 0:  88%|████████▊ | 255/291 [01:04<00:08,  4.45it/s]
Loading 0:  88%|████████▊ | 256/291 [01:05<00:10,  3.35it/s]
Loading 0:  88%|████████▊ | 257/291 [01:05<00:12,  2.64it/s]
Loading 0:  89%|████████▉ | 260/291 [01:06<00:06,  4.53it/s]
Loading 0:  90%|████████▉ | 261/291 [01:06<00:06,  4.77it/s]
Loading 0:  90%|█████████ | 262/291 [01:06<00:05,  5.37it/s]
Loading 0:  91%|█████████ | 264/291 [01:06<00:06,  4.44it/s]
Loading 0:  91%|█████████ | 265/291 [01:07<00:07,  3.34it/s]
Loading 0:  91%|█████████▏| 266/291 [01:08<00:09,  2.65it/s]
Loading 0:  92%|█████████▏| 269/291 [01:08<00:04,  4.55it/s]
Loading 0:  93%|█████████▎| 270/291 [01:08<00:04,  4.79it/s]
Loading 0:  93%|█████████▎| 271/291 [01:08<00:03,  5.37it/s]
Loading 0:  94%|█████████▍| 273/291 [01:09<00:04,  4.45it/s]
Loading 0:  94%|█████████▍| 274/291 [01:09<00:05,  3.35it/s]
Loading 0:  95%|█████████▍| 275/291 [01:10<00:06,  2.66it/s]
Loading 0:  96%|█████████▌| 278/291 [01:10<00:02,  4.51it/s]
Loading 0:  96%|█████████▌| 279/291 [01:10<00:02,  4.75it/s]
Loading 0:  96%|█████████▌| 280/291 [01:10<00:02,  5.31it/s]
Loading 0:  97%|█████████▋| 281/291 [01:11<00:02,  3.58it/s]
Loading 0:  97%|█████████▋| 282/291 [01:12<00:03,  2.68it/s]
Loading 0:  98%|█████████▊| 284/291 [01:12<00:01,  3.86it/s]
Loading 0:  98%|█████████▊| 285/291 [01:12<00:01,  4.21it/s]
Loading 0:  98%|█████████▊| 286/291 [01:12<00:01,  4.87it/s]
Loading 0:  99%|█████████▊| 287/291 [01:12<00:00,  5.02it/s]
Loading 0:  99%|█████████▉| 288/291 [01:13<00:00,  3.32it/s]
                                                            
Job alexdaoud-trainer-bagir-6558-v1-mkmlizer completed after 136.17s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-6558-v1-mkmlizer
Pipeline stage MKMLizer completed in 136.71s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service alexdaoud-trainer-bagir-6558-v1
Waiting for inference service alexdaoud-trainer-bagir-6558-v1 to be ready
Inference service alexdaoud-trainer-bagir-6558-v1 ready after 230.8942904472351s
Pipeline stage MKMLDeployer completed in 231.44s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.588766098022461s
Received healthy response to inference request in 4.700376272201538s
Received healthy response to inference request in 1.8611669540405273s
Received healthy response to inference request in 3.352236032485962s
Received healthy response to inference request in 5.102641820907593s
5 requests
0 failed requests
5th percentile: 2.1593807697296143
10th percentile: 2.4575945854187013
20th percentile: 3.054022216796875
30th percentile: 3.399542045593262
40th percentile: 3.4941540718078614
50th percentile: 3.588766098022461
60th percentile: 4.033410167694091
70th percentile: 4.478054237365723
80th percentile: 4.780829381942749
90th percentile: 4.9417356014251705
95th percentile: 5.022188711166382
99th percentile: 5.08655119895935
mean time: 3.721037435531616
%s, retrying in %s seconds...
Received healthy response to inference request in 3.4849183559417725s
Received healthy response to inference request in 2.3005590438842773s
Received healthy response to inference request in 5.155973434448242s
Received healthy response to inference request in 3.6431915760040283s
Received healthy response to inference request in 4.239577054977417s
5 requests
0 failed requests
5th percentile: 2.5374309062957763
10th percentile: 2.774302768707275
20th percentile: 3.2480464935302735
30th percentile: 3.5165729999542235
40th percentile: 3.579882287979126
50th percentile: 3.6431915760040283
60th percentile: 3.881745767593384
70th percentile: 4.120299959182739
80th percentile: 4.422856330871582
90th percentile: 4.789414882659912
95th percentile: 4.972694158554077
99th percentile: 5.119317579269409
mean time: 3.7648438930511476
%s, retrying in %s seconds...
Received healthy response to inference request in 3.463275909423828s
Received healthy response to inference request in 3.396737813949585s
Received healthy response to inference request in 2.5901496410369873s
Failed to get response for submission blend_mokul_2024-11-14: ('http://zonemercy-lexical-viral-1979-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:36728->127.0.0.1:8080: read: connection reset by peer\n')
Received healthy response to inference request in 2.980286121368408s
Received healthy response to inference request in 3.0212032794952393s
5 requests
0 failed requests
5th percentile: 2.6681769371032713
10th percentile: 2.7462042331695558
20th percentile: 2.902258825302124
30th percentile: 2.9884695529937746
40th percentile: 3.004836416244507
50th percentile: 3.0212032794952393
60th percentile: 3.1714170932769776
70th percentile: 3.3216309070587156
80th percentile: 3.4100454330444334
90th percentile: 3.4366606712341308
95th percentile: 3.4499682903289797
99th percentile: 3.4606143856048583
mean time: 3.0903305530548097
Pipeline stage StressChecker completed in 57.30s
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 2.62s
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 2.44s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_6558_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 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-6558-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-6558-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-6558-v1-profiler ready after 230.5089464187622s
Pipeline stage MKMLProfilerDeployer completed in 230.88s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baa17b64bf4ca8a8c5268bb10b7113a452-deplo2jd97:/code/chaiverse_profiler_1734400896 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baa17b64bf4ca8a8c5268bb10b7113a452-deplo2jd97 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734400896 && 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_1734400896/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baa17b64bf4ca8a8c5268bb10b7113a452-deplo2jd97:/code/chaiverse_profiler_1734403664 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baa17b64bf4ca8a8c5268bb10b7113a452-deplo2jd97:/code/chaiverse_profiler_1734403665 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baa17b64bf4ca8a8c5268bb10b7113a452-deplo2jd97 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734403665 && 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_1734403665/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6558-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-6558-v1-profiler
Service alexdaoud-trainer-bagir-6558-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.38s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6558-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.44s
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-6558-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-6558-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-6558-v1-profiler ready after 40.118826150894165s
Pipeline stage MKMLProfilerDeployer completed in 40.47s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baa17b64bf4ca8a8c5268bb10b7113a452-deplohwhcl:/code/chaiverse_profiler_1734404332 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baa17b64bf4ca8a8c5268bb10b7113a452-deplohwhcl --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734404332 && 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_1734404332/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baa17b64bf4ca8a8c5268bb10b7113a452-deplohwhcl:/code/chaiverse_profiler_1734407116 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baa17b64bf4ca8a8c5268bb10b7113a452-deplohwhcl:/code/chaiverse_profiler_1734407117 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baa17b64bf4ca8a8c5268bb10b7113a452-deplohwhcl --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734407117 && 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_1734407117/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6558-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-6558-v1-profiler
Service alexdaoud-trainer-bagir-6558-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.71s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-6558-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.64s
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-6558-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-6558-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-6558-v1-profiler ready after 90.22626972198486s
Pipeline stage MKMLProfilerDeployer completed in 90.56s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baa17b64bf4ca8a8c5268bb10b7113a452-deplorzcfp:/code/chaiverse_profiler_1734408011 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baa17b64bf4ca8a8c5268bb10b7113a452-deplorzcfp --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734408011 && 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_1734408011/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baa17b64bf4ca8a8c5268bb10b7113a452-deplorzcfp:/code/chaiverse_profiler_1734410787 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baa17b64bf4ca8a8c5268bb10b7113a452-deplorzcfp:/code/chaiverse_profiler_1734410787 --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-6558-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-6558-v1-profiler
Service alexdaoud-trainer-bagir-6558-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.26s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_6558_v1 status is now inactive due to auto deactivation removed underperforming models