developer_uid: chai_backend_admin
submission_id: alexdaoud-trainer-bagir-_7250_v1
model_name: alexdaoud-trainer-bagir-_7250_v1
model_group: alexdaoud/trainer_bagir_
status: inactive
timestamp: 2024-12-17T08:27:21+00:00
num_battles: 23315
num_wins: 11796
celo_rating: 1267.58
family_friendly_score: 0.5764
family_friendly_standard_error: 0.006988033199692171
submission_type: basic
model_repo: alexdaoud/trainer_bagir_2024-12-11-checkpoint-81
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 256
max_output_tokens: 1
display_name: alexdaoud-trainer-bagir-_7250_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: alexdaoud/trainer_bagir_2024-12-11-checkpoint-81
model_size: 8B
ranking_group: single
us_pacific_date: 2024-12-17
win_ratio: 0.505940381728501
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-7250-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-7250-v1-mkmlizer to finish
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-7250-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-7250-v1-mkmlizer: Downloaded to shared memory in 30.891s
alexdaoud-trainer-bagir-7250-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp0owj32vd, device:0
alexdaoud-trainer-bagir-7250-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-7250-v1-mkmlizer: quantized model in 85.641s
alexdaoud-trainer-bagir-7250-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-81 in 116.533s
alexdaoud-trainer-bagir-7250-v1-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-7250-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-7250-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-7250-v1
alexdaoud-trainer-bagir-7250-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-7250-v1/tokenizer.json
alexdaoud-trainer-bagir-7250-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-7250-v1/flywheel_model.0.safetensors
alexdaoud-trainer-bagir-7250-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 3/291 [00:00<00:56, 5.11it/s] Loading 0: 1%|▏ | 4/291 [00:01<01:31, 3.12it/s] Loading 0: 2%|▏ | 5/291 [00:01<02:02, 2.33it/s] Loading 0: 3%|▎ | 8/291 [00:02<01:03, 4.47it/s] Loading 0: 3%|▎ | 9/291 [00:02<01:02, 4.53it/s] Loading 0: 3%|▎ | 10/291 [00:02<00:55, 5.09it/s] Loading 0: 4%|▍ | 12/291 [00:02<01:05, 4.29it/s] Loading 0: 4%|▍ | 13/291 [00:03<01:26, 3.23it/s] Loading 0: 5%|▍ | 14/291 [00:04<01:49, 2.54it/s] Loading 0: 6%|▌ | 17/291 [00:04<01:02, 4.36it/s] Loading 0: 6%|▌ | 18/291 [00:04<00:59, 4.61it/s] Loading 0: 7%|▋ | 19/291 [00:04<00:52, 5.19it/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<01:42, 2.61it/s] Loading 0: 9%|▉ | 26/291 [00:06<00:59, 4.43it/s] Loading 0: 9%|▉ | 27/291 [00:06<00:56, 4.67it/s] Loading 0: 10%|▉ | 28/291 [00:06<00:49, 5.27it/s] Loading 0: 10%|█ | 30/291 [00:07<00:59, 4.40it/s] Loading 0: 11%|█ | 31/291 [00:08<01:18, 3.32it/s] Loading 0: 11%|█ | 32/291 [00:08<01:40, 2.58it/s] Loading 0: 12%|█▏ | 35/291 [00:08<00:58, 4.39it/s] Loading 0: 12%|█▏ | 36/291 [00:09<00:55, 4.63it/s] Loading 0: 13%|█▎ | 37/291 [00:09<00:49, 5.16it/s] Loading 0: 13%|█▎ | 39/291 [00:09<00:58, 4.32it/s] Loading 0: 14%|█▎ | 40/291 [00:10<01:16, 3.26it/s] Loading 0: 14%|█▍ | 41/291 [00:11<01:38, 2.54it/s] Loading 0: 15%|█▌ | 44/291 [00:11<00:57, 4.31it/s] Loading 0: 15%|█▌ | 45/291 [00:11<00:54, 4.55it/s] Loading 0: 16%|█▌ | 46/291 [00:11<00:47, 5.13it/s] Loading 0: 16%|█▋ | 48/291 [00:12<00:56, 4.33it/s] Loading 0: 17%|█▋ | 49/291 [00:12<01:13, 3.27it/s] Loading 0: 17%|█▋ | 50/291 [00:13<01:33, 2.58it/s] Loading 0: 18%|█▊ | 53/291 [00:13<00:54, 4.36it/s] Loading 0: 19%|█▊ | 54/291 [00:13<00:51, 4.61it/s] Loading 0: 19%|█▉ | 55/291 [00:13<00:45, 5.20it/s] Loading 0: 20%|█▉ | 57/291 [00:14<00:53, 4.37it/s] Loading 0: 20%|█▉ | 58/291 [00:15<01:10, 3.29it/s] Loading 0: 20%|██ | 59/291 [00:15<01:30, 2.57it/s] Loading 0: 21%|██▏ | 62/291 [00:15<00:52, 4.37it/s] Loading 0: 22%|██▏ | 63/291 [00:16<00:49, 4.62it/s] Loading 0: 22%|██▏ | 64/291 [00:16<00:43, 5.20it/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 [00:17<01:25, 2.61it/s] Loading 0: 24%|██▍ | 71/291 [00:18<00:49, 4.44it/s] Loading 0: 25%|██▍ | 72/291 [00:18<00:46, 4.69it/s] Loading 0: 25%|██▌ | 73/291 [00:18<00:41, 5.28it/s] Loading 0: 26%|██▌ | 75/291 [00:19<00:49, 4.40it/s] Loading 0: 26%|██▌ | 76/291 [00:19<01:04, 3.31it/s] Loading 0: 26%|██▋ | 77/291 [00:20<01:23, 2.57it/s] Loading 0: 27%|██▋ | 80/291 [00:20<00:47, 4.41it/s] Loading 0: 28%|██▊ | 81/291 [00:20<00:45, 4.65it/s] Loading 0: 28%|██▊ | 82/291 [00:20<00:40, 5.22it/s] Loading 0: 29%|██▊ | 83/291 [00:20<00:40, 5.19it/s] Loading 0: 29%|██▉ | 84/291 [00:21<01:00, 3.45it/s] Loading 0: 29%|██▉ | 85/291 [00:22<01:15, 2.72it/s] Loading 0: 30%|██▉ | 86/291 [00:22<01:31, 2.24it/s] Loading 0: 31%|███ | 89/291 [00:22<00:48, 4.19it/s] Loading 0: 31%|███ | 90/291 [00:23<00:45, 4.46it/s] Loading 0: 31%|███▏ | 91/291 [00:23<00:39, 5.06it/s] Loading 0: 32%|███▏ | 93/291 [00:23<00:46, 4.28it/s] Loading 0: 32%|███▏ | 94/291 [00:24<01:00, 3.25it/s] Loading 0: 33%|███▎ | 95/291 [00:24<01:15, 2.59it/s] Loading 0: 34%|███▎ | 98/291 [00:25<00:42, 4.49it/s] Loading 0: 34%|███▍ | 99/291 [00:25<00:40, 4.73it/s] Loading 0: 34%|███▍ | 100/291 [00:25<00:36, 5.27it/s] Loading 0: 35%|███▌ | 102/291 [00:26<00:42, 4.41it/s] Loading 0: 35%|███▌ | 103/291 [00:26<00:56, 3.31it/s] Loading 0: 36%|███▌ | 104/291 [00:27<01:11, 2.60it/s] Loading 0: 37%|███▋ | 107/291 [00:27<00:43, 4.25it/s] Loading 0: 37%|███▋ | 108/291 [00:27<00:40, 4.51it/s] Loading 0: 37%|███▋ | 109/291 [00:27<00:35, 5.10it/s] Loading 0: 38%|███▊ | 111/291 [00:28<00:41, 4.32it/s] Loading 0: 38%|███▊ | 112/291 [00:28<00:54, 3.27it/s] Loading 0: 39%|███▉ | 113/291 [00:29<01:08, 2.60it/s] Loading 0: 40%|███▉ | 116/291 [00:29<00:39, 4.43it/s] Loading 0: 40%|████ | 117/291 [00:29<00:37, 4.67it/s] Loading 0: 41%|████ | 118/291 [00:30<00:32, 5.24it/s] Loading 0: 41%|████ | 120/291 [00:30<00:38, 4.39it/s] Loading 0: 42%|████▏ | 121/291 [00:31<00:51, 3.31it/s] Loading 0: 42%|████▏ | 122/291 [00:31<01:05, 2.58it/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, 5.21it/s] Loading 0: 44%|████▍ | 129/291 [00:32<00:37, 4.38it/s] Loading 0: 45%|████▍ | 130/291 [00:33<00:48, 3.31it/s] Loading 0: 45%|████▌ | 131/291 [00:34<01:01, 2.62it/s] Loading 0: 46%|████▌ | 134/291 [00:34<00:34, 4.50it/s] Loading 0: 46%|████▋ | 135/291 [00:34<00:32, 4.74it/s] Loading 0: 47%|████▋ | 136/291 [00:34<00:29, 5.33it/s] Loading 0: 47%|████▋ | 138/291 [00:35<00:34, 4.43it/s] Loading 0: 48%|████▊ | 139/291 [00:35<00:45, 3.33it/s] Loading 0: 48%|████▊ | 140/291 [00:36<00:57, 2.62it/s] Loading 0: 49%|████▉ | 143/291 [00:36<00:33, 4.47it/s] Loading 0: 49%|████▉ | 144/291 [00:36<00:31, 4.71it/s] Loading 0: 50%|████▉ | 145/291 [00:36<00:27, 5.24it/s] Loading 0: 51%|█████ | 147/291 [00:37<00:32, 4.38it/s] Loading 0: 51%|█████ | 148/291 [00:38<00:43, 3.32it/s] Loading 0: 51%|█████ | 149/291 [00:38<00:54, 2.62it/s] Loading 0: 52%|█████▏ | 152/291 [00:38<00:31, 4.44it/s] Loading 0: 53%|█████▎ | 153/291 [00:39<00:29, 4.68it/s] Loading 0: 53%|█████▎ | 154/291 [00:39<00:25, 5.27it/s] Loading 0: 54%|█████▎ | 156/291 [00:39<00:30, 4.41it/s] Loading 0: 54%|█████▍ | 157/291 [00:40<00:40, 3.32it/s] Loading 0: 54%|█████▍ | 158/291 [00:40<00:50, 2.62it/s] Loading 0: 55%|█████▌ | 161/291 [00:41<00:29, 4.42it/s] Loading 0: 56%|█████▌ | 162/291 [00:41<00:27, 4.66it/s] Loading 0: 56%|█████▌ | 163/291 [00:41<00:24, 5.23it/s] Loading 0: 57%|█████▋ | 165/291 [00:41<00:28, 4.40it/s] Loading 0: 57%|█████▋ | 166/291 [00:42<00:37, 3.32it/s] Loading 0: 57%|█████▋ | 167/291 [00:43<00:47, 2.62it/s] Loading 0: 58%|█████▊ | 170/291 [00:43<00:26, 4.49it/s] Loading 0: 59%|█████▉ | 171/291 [00:43<00:25, 4.72it/s] Loading 0: 59%|█████▉ | 172/291 [00:43<00:22, 5.29it/s] Loading 0: 59%|█████▉ | 173/291 [00:44<00:33, 3.57it/s] Loading 0: 60%|██████ | 175/291 [00:44<00:23, 4.87it/s] Loading 0: 60%|██████ | 176/291 [00:44<00:22, 5.10it/s] Loading 0: 61%|██████ | 177/291 [00:44<00:19, 5.71it/s] Loading 0: 62%|██████▏ | 179/291 [00:45<00:24, 4.54it/s] Loading 0: 62%|██████▏ | 180/291 [00:45<00:33, 3.34it/s] Loading 0: 62%|██████▏ | 181/291 [00:46<00:42, 2.61it/s] Loading 0: 63%|██████▎ | 184/291 [00:46<00:23, 4.58it/s] Loading 0: 64%|██████▎ | 185/291 [00:46<00:22, 4.81it/s] Loading 0: 64%|██████▍ | 186/291 [00:46<00:19, 5.41it/s] Loading 0: 64%|██████▍ | 187/291 [00:47<00:19, 5.41it/s] Loading 0: 65%|██████▍ | 188/291 [00:47<00:29, 3.53it/s] Loading 0: 65%|██████▍ | 189/291 [00:48<00:38, 2.64it/s] Loading 0: 66%|██████▌ | 192/291 [00:48<00:27, 3.59it/s] Loading 0: 66%|██████▋ | 193/291 [00:49<00:33, 2.97it/s] Loading 0: 67%|██████▋ | 194/291 [00:50<00:39, 2.48it/s] Loading 0: 68%|██████▊ | 197/291 [00:50<00:22, 4.19it/s] Loading 0: 68%|██████▊ | 198/291 [00:50<00:20, 4.46it/s] Loading 0: 68%|██████▊ | 199/291 [00:50<00:18, 5.04it/s] Loading 0: 69%|██████▉ | 201/291 [00:51<00:20, 4.31it/s] Loading 0: 69%|██████▉ | 202/291 [00:51<00:27, 3.28it/s] Loading 0: 70%|██████▉ | 203/291 [00:52<00:33, 2.62it/s] Loading 0: 71%|███████ | 206/291 [00:52<00:19, 4.44it/s] Loading 0: 71%|███████ | 207/291 [00:52<00:17, 4.68it/s] Loading 0: 71%|███████▏ | 208/291 [00:52<00:15, 5.26it/s] Loading 0: 72%|███████▏ | 210/291 [00:53<00:18, 4.41it/s] Loading 0: 73%|███████▎ | 211/291 [00:53<00:24, 3.32it/s] Loading 0: 73%|███████▎ | 212/291 [00:54<00:30, 2.62it/s] Loading 0: 74%|███████▍ | 215/291 [00:54<00:17, 4.44it/s] Loading 0: 74%|███████▍ | 216/291 [00:55<00:16, 4.66it/s] Loading 0: 75%|███████▍ | 217/291 [00:55<00:14, 5.21it/s] Loading 0: 75%|███████▌ | 219/291 [00:55<00:16, 4.37it/s] Loading 0: 76%|███████▌ | 220/291 [00:56<00:21, 3.31it/s] Loading 0: 76%|███████▌ | 221/291 [00:56<00:26, 2.63it/s] Loading 0: 77%|███████▋ | 224/291 [00:57<00:14, 4.50it/s] Loading 0: 77%|███████▋ | 225/291 [00:57<00:13, 4.74it/s] Loading 0: 78%|███████▊ | 226/291 [00:57<00:12, 5.31it/s] Loading 0: 78%|███████▊ | 228/291 [00:57<00:14, 4.43it/s] Loading 0: 79%|███████▊ | 229/291 [00:58<00:18, 3.34it/s] Loading 0: 79%|███████▉ | 230/291 [00:59<00:23, 2.64it/s] Loading 0: 80%|████████ | 233/291 [00:59<00:12, 4.53it/s] Loading 0: 80%|████████ | 234/291 [00:59<00:11, 4.76it/s] Loading 0: 81%|████████ | 235/291 [00:59<00:10, 5.35it/s] Loading 0: 81%|████████▏ | 237/291 [01:00<00:12, 4.42it/s] Loading 0: 82%|████████▏ | 238/291 [01:00<00:15, 3.33it/s] Loading 0: 82%|████████▏ | 239/291 [01:01<00:19, 2.64it/s] Loading 0: 83%|████████▎ | 242/291 [01:01<00:10, 4.54it/s] Loading 0: 84%|████████▎ | 243/291 [01:01<00:10, 4.77it/s] Loading 0: 84%|████████▍ | 244/291 [01:01<00:08, 5.36it/s] Loading 0: 85%|████████▍ | 246/291 [01:02<00:10, 4.41it/s] Loading 0: 85%|████████▍ | 247/291 [01:03<00:13, 3.32it/s] Loading 0: 85%|████████▌ | 248/291 [01:03<00:16, 2.63it/s] Loading 0: 86%|████████▋ | 251/291 [01:03<00:08, 4.52it/s] Loading 0: 87%|████████▋ | 252/291 [01:04<00:08, 4.75it/s] Loading 0: 87%|████████▋ | 253/291 [01:04<00:07, 5.31it/s] Loading 0: 88%|████████▊ | 255/291 [01:04<00:08, 4.40it/s] Loading 0: 88%|████████▊ | 256/291 [01:05<00:10, 3.33it/s] Loading 0: 88%|████████▊ | 257/291 [01:05<00:12, 2.65it/s] Loading 0: 89%|████████▉ | 260/291 [01:06<00:06, 4.55it/s] Loading 0: 90%|████████▉ | 261/291 [01:06<00:06, 4.78it/s] Loading 0: 90%|█████████ | 262/291 [01:06<00:05, 5.34it/s] Loading 0: 91%|█████████ | 264/291 [01:06<00:06, 4.42it/s] Loading 0: 91%|█████████ | 265/291 [01:07<00:07, 3.35it/s] Loading 0: 91%|█████████▏| 266/291 [01:08<00:09, 2.65it/s] Loading 0: 92%|█████████▏| 269/291 [01:08<00:04, 4.56it/s] Loading 0: 93%|█████████▎| 270/291 [01:08<00:04, 4.79it/s] Loading 0: 93%|█████████▎| 271/291 [01:08<00:03, 5.30it/s] Loading 0: 94%|█████████▍| 273/291 [01:09<00:04, 4.41it/s] Loading 0: 94%|█████████▍| 274/291 [01:09<00:05, 3.33it/s] Loading 0: 95%|█████████▍| 275/291 [01:10<00:06, 2.64it/s] Loading 0: 96%|█████████▌| 278/291 [01:10<00:02, 4.53it/s] Loading 0: 96%|█████████▌| 279/291 [01:10<00:02, 4.77it/s] Loading 0: 96%|█████████▌| 280/291 [01:10<00:02, 5.33it/s] Loading 0: 97%|█████████▋| 281/291 [01:11<00:02, 3.57it/s] Loading 0: 97%|█████████▋| 282/291 [01:12<00:03, 2.70it/s] Loading 0: 98%|█████████▊| 284/291 [01:12<00:01, 3.88it/s] Loading 0: 98%|█████████▊| 285/291 [01:12<00:01, 4.23it/s] Loading 0: 98%|█████████▊| 286/291 [01:12<00:01, 4.90it/s] Loading 0: 99%|█████████▊| 287/291 [01:12<00:00, 5.03it/s] Loading 0: 99%|█████████▉| 288/291 [01:13<00:00, 3.32it/s]
Job alexdaoud-trainer-bagir-7250-v1-mkmlizer completed after 135.77s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-7250-v1-mkmlizer
Pipeline stage MKMLizer completed in 136.31s
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-7250-v1
Waiting for inference service alexdaoud-trainer-bagir-7250-v1 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service alexdaoud-trainer-bagir-7250-v1 ready after 230.82434058189392s
Pipeline stage MKMLDeployer completed in 231.57s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.643442153930664s
Received healthy response to inference request in 4.073940753936768s
Received healthy response to inference request in 2.797950506210327s
Received healthy response to inference request in 2.7009055614471436s
Received healthy response to inference request in 2.5463688373565674s
5 requests
0 failed requests
5th percentile: 2.577276182174683
10th percentile: 2.6081835269927978
20th percentile: 2.669998216629028
30th percentile: 2.72031455039978
40th percentile: 2.7591325283050536
50th percentile: 2.797950506210327
60th percentile: 3.308346605300903
70th percentile: 3.8187427043914792
80th percentile: 4.187841033935547
90th percentile: 4.415641593933105
95th percentile: 4.529541873931884
99th percentile: 4.620662097930908
mean time: 3.352521562576294
%s, retrying in %s seconds...
Received healthy response to inference request in 3.4822940826416016s
Received healthy response to inference request in 2.743133306503296s
Received healthy response to inference request in 2.623826026916504s
Received healthy response to inference request in 2.6348283290863037s
Received healthy response to inference request in 2.871492862701416s
5 requests
0 failed requests
5th percentile: 2.626026487350464
10th percentile: 2.628226947784424
20th percentile: 2.6326278686523437
30th percentile: 2.6564893245697023
40th percentile: 2.699811315536499
50th percentile: 2.743133306503296
60th percentile: 2.794477128982544
70th percentile: 2.845820951461792
80th percentile: 2.9936531066894534
90th percentile: 3.2379735946655273
95th percentile: 3.360133838653564
99th percentile: 3.4578620338439943
mean time: 2.8711149215698244
Pipeline stage StressChecker completed in 33.83s
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 2.52s
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 2.13s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_7250_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-7250-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-7250-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-7250-v1-profiler ready after 230.53880095481873s
Pipeline stage MKMLProfilerDeployer completed in 230.91s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba3c620e39fc16134cf19ef25f0a910c0f-deplopmbkd:/code/chaiverse_profiler_1734424715 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba3c620e39fc16134cf19ef25f0a910c0f-deplopmbkd --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734424715 && 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_1734424715/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba3c620e39fc16134cf19ef25f0a910c0f-deplopmbkd:/code/chaiverse_profiler_1734427507 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba3c620e39fc16134cf19ef25f0a910c0f-deplopmbkd --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734427507 && 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_1734427507/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-7250-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-7250-v1-profiler
Service alexdaoud-trainer-bagir-7250-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.46s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-7250-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 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-7250-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-7250-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-7250-v1-profiler ready after 110.26130223274231s
Pipeline stage MKMLProfilerDeployer completed in 110.58s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba3c620e39fc16134cf19ef25f0a910c0f-deploxv842:/code/chaiverse_profiler_1734428220 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba3c620e39fc16134cf19ef25f0a910c0f-deploxv842 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734428220 && 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_1734428220/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba3c620e39fc16134cf19ef25f0a910c0f-deploxv842:/code/chaiverse_profiler_1734431018 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba3c620e39fc16134cf19ef25f0a910c0f-deploxv842 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734431018 && 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_1734431018/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-7250-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-7250-v1-profiler
Service alexdaoud-trainer-bagir-7250-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.54s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-7250-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.55s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-7250-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-7250-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-7250-v1-profiler ready after 220.4883680343628s
Pipeline stage MKMLProfilerDeployer completed in 220.81s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba3c620e39fc16134cf19ef25f0a910c0f-deploc5ll6:/code/chaiverse_profiler_1734431964 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba3c620e39fc16134cf19ef25f0a910c0f-deploc5ll6 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734431964 && 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_1734431964/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba3c620e39fc16134cf19ef25f0a910c0f-deploc5ll6:/code/chaiverse_profiler_1734434749 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba3c620e39fc16134cf19ef25f0a910c0f-deploc5ll6 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734434749 && 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_1734434749/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-7250-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-7250-v1-profiler
Service alexdaoud-trainer-bagir-7250-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.61s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_7250_v1 status is now inactive due to auto deactivation removed underperforming models