developer_uid: chai_backend_admin
submission_id: alexdaoud-trainer-bagir-_9606_v1
model_name: alexdaoud-trainer-bagir-_9606_v1
model_group: alexdaoud/trainer_bagir_
status: inactive
timestamp: 2024-12-16T05:44:39+00:00
num_battles: 21963
num_wins: 11035
celo_rating: 1265.27
family_friendly_score: 0.5796
family_friendly_standard_error: 0.006980885903665809
submission_type: basic
model_repo: alexdaoud/trainer_bagir_2024-12-11-checkpoint-52
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 256
max_output_tokens: 1
display_name: alexdaoud-trainer-bagir-_9606_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: alexdaoud/trainer_bagir_2024-12-11-checkpoint-52
model_size: 8B
ranking_group: single
us_pacific_date: 2024-12-15
win_ratio: 0.5024359149478669
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-9606-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-9606-v1-mkmlizer to finish
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-9606-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-9606-v1-mkmlizer: Downloaded to shared memory in 31.158s
alexdaoud-trainer-bagir-9606-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpey4juqfg, device:0
alexdaoud-trainer-bagir-9606-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-9606-v1-mkmlizer: quantized model in 85.878s
alexdaoud-trainer-bagir-9606-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-52 in 117.036s
alexdaoud-trainer-bagir-9606-v1-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-9606-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9606-v1/config.json
alexdaoud-trainer-bagir-9606-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9606-v1/special_tokens_map.json
alexdaoud-trainer-bagir-9606-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9606-v1/tokenizer_config.json
alexdaoud-trainer-bagir-9606-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9606-v1/tokenizer.json
alexdaoud-trainer-bagir-9606-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9606-v1/flywheel_model.0.safetensors
alexdaoud-trainer-bagir-9606-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 3/291 [00:00<00:57, 5.05it/s] Loading 0: 1%|▏ | 4/291 [00:01<01:31, 3.13it/s] Loading 0: 2%|▏ | 5/291 [00:01<02:03, 2.32it/s] Loading 0: 3%|▎ | 8/291 [00:02<01:03, 4.45it/s] Loading 0: 3%|▎ | 9/291 [00:02<01:02, 4.54it/s] Loading 0: 3%|▎ | 10/291 [00:02<00:54, 5.16it/s] Loading 0: 4%|▍ | 12/291 [00:02<01:04, 4.31it/s] Loading 0: 4%|▍ | 13/291 [00:03<01:26, 3.22it/s] Loading 0: 5%|▍ | 14/291 [00:04<01:49, 2.53it/s] Loading 0: 6%|▌ | 17/291 [00:04<01:02, 4.37it/s] Loading 0: 6%|▌ | 18/291 [00:04<00:59, 4.62it/s] Loading 0: 7%|▋ | 19/291 [00:04<00:52, 5.20it/s] Loading 0: 7%|▋ | 21/291 [00:05<01:02, 4.35it/s] Loading 0: 8%|▊ | 22/291 [00:05<01:21, 3.29it/s] Loading 0: 8%|▊ | 23/291 [00:06<01:43, 2.60it/s] Loading 0: 9%|▉ | 26/291 [00:06<00:59, 4.43it/s] Loading 0: 9%|▉ | 27/291 [00:06<00:56, 4.68it/s] Loading 0: 10%|▉ | 28/291 [00:06<00:49, 5.28it/s] Loading 0: 10%|█ | 30/291 [00:07<00:59, 4.38it/s] Loading 0: 11%|█ | 31/291 [00:08<01:18, 3.32it/s] Loading 0: 11%|█ | 32/291 [00:08<01:41, 2.55it/s] Loading 0: 12%|█▏ | 35/291 [00:08<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, 5.20it/s] Loading 0: 13%|█▎ | 39/291 [00:09<00:57, 4.35it/s] Loading 0: 14%|█▎ | 40/291 [00:10<01:16, 3.29it/s] Loading 0: 14%|█▍ | 41/291 [00:11<01:36, 2.58it/s] Loading 0: 15%|█▌ | 44/291 [00:11<00:56, 4.39it/s] Loading 0: 15%|█▌ | 45/291 [00:11<00:53, 4.63it/s] Loading 0: 16%|█▌ | 46/291 [00:11<00:47, 5.14it/s] Loading 0: 16%|█▋ | 48/291 [00:12<00:56, 4.33it/s] Loading 0: 17%|█▋ | 49/291 [00:12<01:13, 3.28it/s] Loading 0: 17%|█▋ | 50/291 [00:13<01:33, 2.57it/s] Loading 0: 18%|█▊ | 53/291 [00:13<00:53, 4.41it/s] Loading 0: 19%|█▊ | 54/291 [00:13<00:50, 4.65it/s] Loading 0: 19%|█▉ | 55/291 [00:13<00:45, 5.23it/s] Loading 0: 20%|█▉ | 57/291 [00:14<00:53, 4.39it/s] Loading 0: 20%|█▉ | 58/291 [00:14<01:10, 3.31it/s] Loading 0: 20%|██ | 59/291 [00:15<01:29, 2.60it/s] Loading 0: 21%|██▏ | 62/291 [00:15<00:51, 4.43it/s] Loading 0: 22%|██▏ | 63/291 [00:16<00:48, 4.67it/s] Loading 0: 22%|██▏ | 64/291 [00:16<00:43, 5.25it/s] Loading 0: 23%|██▎ | 66/291 [00:16<00:51, 4.40it/s] Loading 0: 23%|██▎ | 67/291 [00:17<01:07, 3.31it/s] Loading 0: 23%|██▎ | 68/291 [00:17<01:26, 2.59it/s] Loading 0: 24%|██▍ | 71/291 [00:18<00:49, 4.40it/s] Loading 0: 25%|██▍ | 72/291 [00:18<00:47, 4.65it/s] Loading 0: 25%|██▌ | 73/291 [00:18<00:41, 5.24it/s] Loading 0: 26%|██▌ | 75/291 [00:18<00:49, 4.37it/s] Loading 0: 26%|██▌ | 76/291 [00:19<01:05, 3.30it/s] Loading 0: 26%|██▋ | 77/291 [00:20<01:23, 2.57it/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, 5.14it/s] Loading 0: 29%|██▊ | 83/291 [00:20<00:40, 5.12it/s] Loading 0: 29%|██▉ | 84/291 [00:21<01:01, 3.39it/s] Loading 0: 29%|██▉ | 85/291 [00:22<01:16, 2.71it/s] Loading 0: 30%|██▉ | 86/291 [00:22<01:30, 2.26it/s] Loading 0: 31%|███ | 89/291 [00:22<00:47, 4.21it/s] Loading 0: 31%|███ | 90/291 [00:23<00:44, 4.49it/s] Loading 0: 31%|███▏ | 91/291 [00:23<00:39, 5.09it/s] Loading 0: 32%|███▏ | 93/291 [00:23<00:46, 4.30it/s] Loading 0: 32%|███▏ | 94/291 [00:24<01:00, 3.25it/s] Loading 0: 33%|███▎ | 95/291 [00:24<01:16, 2.58it/s] Loading 0: 34%|███▎ | 98/291 [00:25<00:43, 4.42it/s] Loading 0: 34%|███▍ | 99/291 [00:25<00:41, 4.67it/s] Loading 0: 34%|███▍ | 100/291 [00:25<00:36, 5.26it/s] Loading 0: 35%|███▌ | 102/291 [00:26<00:43, 4.39it/s] Loading 0: 35%|███▌ | 103/291 [00:26<00:56, 3.32it/s] Loading 0: 36%|███▌ | 104/291 [00:27<01:11, 2.60it/s] Loading 0: 37%|███▋ | 107/291 [00:27<00:41, 4.43it/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<00:41, 4.38it/s] Loading 0: 38%|███▊ | 112/291 [00:28<00:54, 3.30it/s] Loading 0: 39%|███▉ | 113/291 [00:29<01:08, 2.60it/s] Loading 0: 40%|███▉ | 116/291 [00:29<00:39, 4.40it/s] Loading 0: 40%|████ | 117/291 [00:29<00:37, 4.64it/s] Loading 0: 41%|████ | 118/291 [00:30<00:33, 5.18it/s] Loading 0: 41%|████ | 120/291 [00:30<00:39, 4.32it/s] Loading 0: 42%|████▏ | 121/291 [00:31<00:52, 3.26it/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<00:35, 4.61it/s] Loading 0: 44%|████▎ | 127/291 [00:32<00:31, 5.18it/s] Loading 0: 44%|████▍ | 129/291 [00:32<00:37, 4.35it/s] Loading 0: 45%|████▍ | 130/291 [00:33<00:48, 3.29it/s] Loading 0: 45%|████▌ | 131/291 [00:34<01:01, 2.60it/s] Loading 0: 46%|████▌ | 134/291 [00:34<00:35, 4.47it/s] Loading 0: 46%|████▋ | 135/291 [00:34<00:33, 4.71it/s] Loading 0: 47%|████▋ | 136/291 [00:34<00:29, 5.30it/s] Loading 0: 47%|████▋ | 138/291 [00:35<00:34, 4.40it/s] Loading 0: 48%|████▊ | 139/291 [00:35<00:45, 3.31it/s] Loading 0: 48%|████▊ | 140/291 [00:36<00:57, 2.62it/s] Loading 0: 49%|████▉ | 143/291 [00:36<00:33, 4.45it/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, 4.42it/s] Loading 0: 51%|█████ | 148/291 [00:38<00:42, 3.33it/s] Loading 0: 51%|█████ | 149/291 [00:38<00:53, 2.63it/s] Loading 0: 52%|█████▏ | 152/291 [00:38<00:30, 4.52it/s] Loading 0: 53%|█████▎ | 153/291 [00:38<00:29, 4.76it/s] Loading 0: 53%|█████▎ | 154/291 [00:39<00:26, 5.23it/s] Loading 0: 54%|█████▎ | 156/291 [00:39<00:30, 4.39it/s] Loading 0: 54%|█████▍ | 157/291 [00:40<00:40, 3.32it/s] Loading 0: 54%|█████▍ | 158/291 [00:40<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<00:23, 5.35it/s] Loading 0: 57%|█████▋ | 165/291 [00:41<00:28, 4.42it/s] Loading 0: 57%|█████▋ | 166/291 [00:42<00:37, 3.32it/s] Loading 0: 57%|█████▋ | 167/291 [00:43<00:47, 2.60it/s] Loading 0: 58%|█████▊ | 170/291 [00:43<00:27, 4.47it/s] Loading 0: 59%|█████▉ | 171/291 [00:43<00:25, 4.72it/s] Loading 0: 59%|█████▉ | 172/291 [00:43<00:22, 5.30it/s] Loading 0: 59%|█████▉ | 173/291 [00:44<00:32, 3.58it/s] Loading 0: 60%|██████ | 175/291 [00:44<00:23, 4.91it/s] Loading 0: 60%|██████ | 176/291 [00:44<00:22, 5.13it/s] Loading 0: 61%|██████ | 177/291 [00:44<00:19, 5.80it/s] Loading 0: 62%|██████▏ | 179/291 [00:45<00:24, 4.55it/s] Loading 0: 62%|██████▏ | 180/291 [00:45<00:33, 3.34it/s] Loading 0: 62%|██████▏ | 181/291 [00:46<00:42, 2.62it/s] Loading 0: 63%|██████▎ | 184/291 [00:46<00:23, 4.58it/s] Loading 0: 64%|██████▎ | 185/291 [00:46<00:22, 4.78it/s] Loading 0: 64%|██████▍ | 186/291 [00:46<00:19, 5.39it/s] Loading 0: 64%|██████▍ | 187/291 [00:47<00:19, 5.40it/s] Loading 0: 65%|██████▍ | 188/291 [00:47<00:29, 3.52it/s] Loading 0: 65%|██████▍ | 189/291 [00:48<00:38, 2.62it/s] Loading 0: 66%|██████▌ | 192/291 [00:48<00:27, 3.57it/s] Loading 0: 66%|██████▋ | 193/291 [00:49<00:33, 2.95it/s] Loading 0: 67%|██████▋ | 194/291 [00:50<00:39, 2.45it/s] Loading 0: 68%|██████▊ | 197/291 [00:50<00:22, 4.21it/s] Loading 0: 68%|██████▊ | 198/291 [00:50<00:20, 4.47it/s] Loading 0: 68%|██████▊ | 199/291 [00:50<00:18, 5.06it/s] Loading 0: 69%|██████▉ | 201/291 [00:51<00:21, 4.28it/s] Loading 0: 69%|██████▉ | 202/291 [00:51<00:27, 3.26it/s] Loading 0: 70%|██████▉ | 203/291 [00:52<00:33, 2.59it/s] Loading 0: 71%|███████ | 206/291 [00:52<00:19, 4.42it/s] Loading 0: 71%|███████ | 207/291 [00:52<00:18, 4.65it/s] Loading 0: 71%|███████▏ | 208/291 [00:52<00:15, 5.23it/s] Loading 0: 72%|███████▏ | 210/291 [00:53<00:18, 4.39it/s] Loading 0: 73%|███████▎ | 211/291 [00:53<00:24, 3.31it/s] Loading 0: 73%|███████▎ | 212/291 [00:54<00:30, 2.63it/s] Loading 0: 74%|███████▍ | 215/291 [00:54<00:16, 4.51it/s] Loading 0: 74%|███████▍ | 216/291 [00:54<00:15, 4.75it/s] Loading 0: 75%|███████▍ | 217/291 [00:55<00:13, 5.30it/s] Loading 0: 75%|███████▌ | 219/291 [00:55<00:16, 4.39it/s] Loading 0: 76%|███████▌ | 220/291 [00:56<00:21, 3.31it/s] Loading 0: 76%|███████▌ | 221/291 [00:56<00:26, 2.61it/s] Loading 0: 77%|███████▋ | 224/291 [00:57<00:15, 4.43it/s] Loading 0: 77%|███████▋ | 225/291 [00:57<00:14, 4.68it/s] Loading 0: 78%|███████▊ | 226/291 [00:57<00:12, 5.24it/s] Loading 0: 78%|███████▊ | 228/291 [00:57<00:14, 4.38it/s] Loading 0: 79%|███████▊ | 229/291 [00:58<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, 4.51it/s] Loading 0: 80%|████████ | 234/291 [00:59<00:11, 4.75it/s] Loading 0: 81%|████████ | 235/291 [00:59<00:10, 5.33it/s] Loading 0: 81%|████████▏ | 237/291 [01:00<00:12, 4.43it/s] Loading 0: 82%|████████▏ | 238/291 [01:00<00:15, 3.35it/s] Loading 0: 82%|████████▏ | 239/291 [01:01<00:19, 2.62it/s] Loading 0: 83%|████████▎ | 242/291 [01:01<00:11, 4.43it/s] Loading 0: 84%|████████▎ | 243/291 [01:01<00:10, 4.66it/s] Loading 0: 84%|████████▍ | 244/291 [01:01<00:09, 5.20it/s] Loading 0: 85%|████████▍ | 246/291 [01:02<00:10, 4.38it/s] Loading 0: 85%|████████▍ | 247/291 [01:03<00:13, 3.31it/s] Loading 0: 85%|████████▌ | 248/291 [01:03<00:16, 2.62it/s] Loading 0: 86%|████████▋ | 251/291 [01:03<00:09, 4.44it/s] Loading 0: 87%|████████▋ | 252/291 [01:04<00:08, 4.67it/s] Loading 0: 87%|████████▋ | 253/291 [01:04<00:07, 5.24it/s] Loading 0: 88%|████████▊ | 255/291 [01:04<00:08, 4.40it/s] Loading 0: 88%|████████▊ | 256/291 [01:05<00:10, 3.32it/s] Loading 0: 88%|████████▊ | 257/291 [01:05<00:12, 2.63it/s] Loading 0: 89%|████████▉ | 260/291 [01:06<00:06, 4.51it/s] Loading 0: 90%|████████▉ | 261/291 [01:06<00:06, 4.75it/s] Loading 0: 90%|█████████ | 262/291 [01:06<00:05, 5.32it/s] Loading 0: 91%|█████████ | 264/291 [01:06<00:06, 4.44it/s] Loading 0: 91%|█████████ | 265/291 [01:07<00:07, 3.35it/s] Loading 0: 91%|█████████▏| 266/291 [01:08<00:09, 2.64it/s] Loading 0: 92%|█████████▏| 269/291 [01:08<00:04, 4.47it/s] Loading 0: 93%|█████████▎| 270/291 [01:08<00:04, 4.72it/s] Loading 0: 93%|█████████▎| 271/291 [01:08<00:03, 5.29it/s] Loading 0: 94%|█████████▍| 273/291 [01:09<00:04, 4.41it/s] Loading 0: 94%|█████████▍| 274/291 [01:09<00:05, 3.34it/s] Loading 0: 95%|█████████▍| 275/291 [01:10<00:06, 2.60it/s] Loading 0: 96%|█████████▌| 278/291 [01:10<00:02, 4.42it/s] Loading 0: 96%|█████████▌| 279/291 [01:10<00:02, 4.65it/s] Loading 0: 96%|█████████▌| 280/291 [01:10<00:02, 5.19it/s] Loading 0: 97%|█████████▋| 281/291 [01:11<00:02, 3.54it/s] Loading 0: 97%|█████████▋| 282/291 [01:12<00:03, 2.67it/s] Loading 0: 98%|█████████▊| 284/291 [01:12<00:01, 3.80it/s] Loading 0: 98%|█████████▊| 285/291 [01:12<00:01, 4.15it/s] Loading 0: 98%|█████████▊| 286/291 [01:12<00:01, 4.76it/s] Loading 0: 99%|█████████▊| 287/291 [01:12<00:00, 4.92it/s] Loading 0: 99%|█████████▉| 288/291 [01:13<00:00, 3.28it/s]
Job alexdaoud-trainer-bagir-9606-v1-mkmlizer completed after 135.62s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-9606-v1-mkmlizer
Pipeline stage MKMLizer completed in 136.09s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service alexdaoud-trainer-bagir-9606-v1
Waiting for inference service alexdaoud-trainer-bagir-9606-v1 to be ready
Inference service alexdaoud-trainer-bagir-9606-v1 ready after 221.45986604690552s
Pipeline stage MKMLDeployer completed in 221.96s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.569743633270264s
Received healthy response to inference request in 2.705725908279419s
Received healthy response to inference request in 4.591053009033203s
Received healthy response to inference request in 3.0934767723083496s
Received healthy response to inference request in 2.3774120807647705s
5 requests
0 failed requests
5th percentile: 2.4430748462677
10th percentile: 2.5087376117706297
20th percentile: 2.6400631427764893
30th percentile: 2.783276081085205
40th percentile: 2.9383764266967773
50th percentile: 3.0934767723083496
60th percentile: 3.683983516693115
70th percentile: 4.27449026107788
80th percentile: 4.574005508422852
90th percentile: 4.5825292587280275
95th percentile: 4.586791133880615
99th percentile: 4.590200634002685
mean time: 3.4674822807312013
%s, retrying in %s seconds...
Received healthy response to inference request in 3.3677220344543457s
Received healthy response to inference request in 2.9526989459991455s
Received healthy response to inference request in 3.6370651721954346s
Received healthy response to inference request in 2.52540922164917s
Received healthy response to inference request in 3.698784112930298s
5 requests
0 failed requests
5th percentile: 2.610867166519165
10th percentile: 2.69632511138916
20th percentile: 2.8672410011291505
30th percentile: 3.0357035636901855
40th percentile: 3.201712799072266
50th percentile: 3.3677220344543457
60th percentile: 3.4754592895507814
70th percentile: 3.5831965446472167
80th percentile: 3.649408960342407
90th percentile: 3.6740965366363527
95th percentile: 3.6864403247833253
99th percentile: 3.696315355300903
mean time: 3.2363358974456786
Pipeline stage StressChecker completed in 36.43s
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 2.32s
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 2.34s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_9606_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 0.14s
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-9606-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-9606-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-9606-v1-profiler ready after 220.52624320983887s
Pipeline stage MKMLProfilerDeployer completed in 220.91s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baf5f68dfc5132cf1744fa5fe4719d24f5-deplo54dgs:/code/chaiverse_profiler_1734328535 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baf5f68dfc5132cf1744fa5fe4719d24f5-deplo54dgs --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734328535 && 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_1734328535/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baf5f68dfc5132cf1744fa5fe4719d24f5-deplo54dgs:/code/chaiverse_profiler_1734331333 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baf5f68dfc5132cf1744fa5fe4719d24f5-deplo54dgs:/code/chaiverse_profiler_1734331334 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baf5f68dfc5132cf1744fa5fe4719d24f5-deplo54dgs --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734331334 && 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_1734331334/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-9606-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-9606-v1-profiler
Service alexdaoud-trainer-bagir-9606-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.45s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-9606-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.39s
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-9606-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-9606-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-9606-v1-profiler ready after 80.21615648269653s
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-baf5f68dfc5132cf1744fa5fe4719d24f5-deplodkghw:/code/chaiverse_profiler_1734332019 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baf5f68dfc5132cf1744fa5fe4719d24f5-deplodkghw --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734332019 && 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_1734332019/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baf5f68dfc5132cf1744fa5fe4719d24f5-deplodkghw:/code/chaiverse_profiler_1734334795 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baf5f68dfc5132cf1744fa5fe4719d24f5-deplodkghw --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734334795 && 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_1734334795/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-9606-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-9606-v1-profiler
Service alexdaoud-trainer-bagir-9606-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.34s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-9606-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.41s
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-9606-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-9606-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-9606-v1-profiler ready after 150.3526315689087s
Pipeline stage MKMLProfilerDeployer completed in 150.69s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baf5f68dfc5132cf1744fa5fe4719d24f5-deplozmsqm:/code/chaiverse_profiler_1734335716 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baf5f68dfc5132cf1744fa5fe4719d24f5-deplozmsqm --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734335716 && 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_1734335716/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-baf5f68dfc5132cf1744fa5fe4719d24f5-deplozmsqm:/code/chaiverse_profiler_1734338516 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-baf5f68dfc5132cf1744fa5fe4719d24f5-deplozmsqm --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734338516 && 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_1734338516/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-9606-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-9606-v1-profiler
Service alexdaoud-trainer-bagir-9606-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.37s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_9606_v1 status is now inactive due to auto deactivation removed underperforming models