developer_uid: chai_backend_admin
submission_id: alexdaoud-trainer-bagir-_9721_v2
model_name: alexdaoud-trainer-bagir-_9721_v2
model_group: alexdaoud/trainer_bagir_
status: torndown
timestamp: 2025-01-22T21:56:08+00:00
num_battles: 11071
num_wins: 5929
celo_rating: 1293.4
family_friendly_score: 0.5694
family_friendly_standard_error: 0.00700262293715719
submission_type: basic
model_repo: alexdaoud/trainer_bagir_2024-12-11-checkpoint-92
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-_9721_v2
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: alexdaoud/trainer_bagir_2024-12-11-checkpoint-92
model_size: 8B
ranking_group: single
us_pacific_date: 2025-01-22
win_ratio: 0.5355433113539879
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-9721-v2-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-9721-v2-mkmlizer to finish
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-9721-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-9721-v2-mkmlizer: Downloaded to shared memory in 33.037s
alexdaoud-trainer-bagir-9721-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp5rsn_5ou, device:0
alexdaoud-trainer-bagir-9721-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-9721-v2-mkmlizer: quantized model in 83.655s
alexdaoud-trainer-bagir-9721-v2-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-92 in 116.693s
alexdaoud-trainer-bagir-9721-v2-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-9721-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-9721-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9721-v2
alexdaoud-trainer-bagir-9721-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9721-v2/config.json
alexdaoud-trainer-bagir-9721-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9721-v2/special_tokens_map.json
alexdaoud-trainer-bagir-9721-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9721-v2/tokenizer_config.json
alexdaoud-trainer-bagir-9721-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9721-v2/tokenizer.json
alexdaoud-trainer-bagir-9721-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9721-v2/flywheel_model.0.safetensors
alexdaoud-trainer-bagir-9721-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 3/291 [00:00<00:54, 5.25it/s] Loading 0: 1%|▏ | 4/291 [00:01<01:30, 3.18it/s] Loading 0: 2%|▏ | 5/291 [00:01<02:00, 2.38it/s] Loading 0: 3%|▎ | 8/291 [00:02<01:02, 4.56it/s] Loading 0: 3%|▎ | 9/291 [00:02<01:00, 4.63it/s] Loading 0: 3%|▎ | 10/291 [00:02<00:53, 5.23it/s] Loading 0: 4%|▍ | 12/291 [00:02<01:03, 4.37it/s] Loading 0: 4%|▍ | 13/291 [00:03<01:24, 3.28it/s] Loading 0: 5%|▍ | 14/291 [00:04<01:46, 2.60it/s] Loading 0: 6%|▌ | 17/291 [00:04<01:01, 4.47it/s] Loading 0: 6%|▌ | 18/291 [00:04<00:58, 4.71it/s] Loading 0: 7%|▋ | 19/291 [00:04<00:51, 5.27it/s] Loading 0: 7%|▋ | 21/291 [00:05<01:01, 4.39it/s] Loading 0: 8%|▊ | 22/291 [00:05<01:20, 3.32it/s] Loading 0: 8%|▊ | 23/291 [00:06<01:41, 2.64it/s] Loading 0: 9%|▉ | 26/291 [00:06<00:59, 4.48it/s] Loading 0: 9%|▉ | 27/291 [00:06<00:55, 4.73it/s] Loading 0: 10%|▉ | 28/291 [00:06<00:49, 5.31it/s] Loading 0: 10%|█ | 30/291 [00:07<00:58, 4.46it/s] Loading 0: 11%|█ | 31/291 [00:07<01:17, 3.36it/s] Loading 0: 11%|█ | 32/291 [00:08<01:38, 2.64it/s] Loading 0: 12%|█▏ | 35/291 [00:08<00:56, 4.50it/s] Loading 0: 12%|█▏ | 36/291 [00:08<00:53, 4.75it/s] Loading 0: 13%|█▎ | 37/291 [00:09<00:47, 5.35it/s] Loading 0: 13%|█▎ | 39/291 [00:09<00:56, 4.46it/s] Loading 0: 14%|█▎ | 40/291 [00:10<01:15, 3.34it/s] Loading 0: 14%|█▍ | 41/291 [00:10<01:34, 2.65it/s] Loading 0: 15%|█▌ | 44/291 [00:11<00:54, 4.51it/s] Loading 0: 15%|█▌ | 45/291 [00:11<00:51, 4.76it/s] Loading 0: 16%|█▌ | 46/291 [00:11<00:45, 5.35it/s] Loading 0: 16%|█▋ | 48/291 [00:11<00:54, 4.47it/s] Loading 0: 17%|█▋ | 49/291 [00:12<01:11, 3.37it/s] Loading 0: 17%|█▋ | 50/291 [00:13<01:31, 2.64it/s] Loading 0: 18%|█▊ | 53/291 [00:13<00:53, 4.48it/s] Loading 0: 19%|█▊ | 54/291 [00:13<00:50, 4.73it/s] Loading 0: 19%|█▉ | 55/291 [00:13<00:44, 5.30it/s] Loading 0: 20%|█▉ | 57/291 [00:14<00:54, 4.33it/s] Loading 0: 20%|█▉ | 58/291 [00:14<01:10, 3.29it/s] Loading 0: 20%|██ | 59/291 [00:15<01:28, 2.62it/s] Loading 0: 21%|██▏ | 62/291 [00:15<00:51, 4.45it/s] Loading 0: 22%|██▏ | 63/291 [00:15<00:48, 4.71it/s] Loading 0: 22%|██▏ | 64/291 [00:15<00:42, 5.30it/s] Loading 0: 23%|██▎ | 66/291 [00:16<00:50, 4.45it/s] Loading 0: 23%|██▎ | 67/291 [00:16<01:06, 3.36it/s] Loading 0: 23%|██▎ | 68/291 [00:17<01:23, 2.66it/s] Loading 0: 24%|██▍ | 71/291 [00:17<00:48, 4.52it/s] Loading 0: 25%|██▍ | 72/291 [00:17<00:45, 4.76it/s] Loading 0: 25%|██▌ | 73/291 [00:18<00:41, 5.30it/s] Loading 0: 26%|██▌ | 75/291 [00:18<00:48, 4.45it/s] Loading 0: 26%|██▌ | 76/291 [00:19<01:03, 3.37it/s] Loading 0: 26%|██▋ | 77/291 [00:19<01:20, 2.65it/s] Loading 0: 27%|██▋ | 80/291 [00:20<00:46, 4.54it/s] Loading 0: 28%|██▊ | 81/291 [00:20<00:43, 4.78it/s] Loading 0: 28%|██▊ | 82/291 [00:20<00:39, 5.32it/s] Loading 0: 29%|██▊ | 83/291 [00:20<00:38, 5.42it/s] Loading 0: 29%|██▉ | 84/291 [00:21<00:58, 3.56it/s] Loading 0: 29%|██▉ | 85/291 [00:21<01:13, 2.80it/s] Loading 0: 30%|██▉ | 86/291 [00:22<01:28, 2.31it/s] Loading 0: 31%|███ | 89/291 [00:22<00:46, 4.31it/s] Loading 0: 31%|███ | 90/291 [00:22<00:43, 4.59it/s] Loading 0: 31%|███▏ | 91/291 [00:22<00:38, 5.20it/s] Loading 0: 32%|███▏ | 93/291 [00:23<00:45, 4.40it/s] Loading 0: 32%|███▏ | 94/291 [00:23<00:59, 3.33it/s] Loading 0: 33%|███▎ | 95/291 [00:24<01:14, 2.64it/s] Loading 0: 34%|███▎ | 98/291 [00:24<00:42, 4.55it/s] Loading 0: 34%|███▍ | 99/291 [00:24<00:40, 4.80it/s] Loading 0: 34%|███▍ | 100/291 [00:24<00:35, 5.39it/s] Loading 0: 35%|███▌ | 102/291 [00:25<00:42, 4.49it/s] Loading 0: 35%|███▌ | 103/291 [00:26<00:55, 3.38it/s] Loading 0: 36%|███▌ | 104/291 [00:26<01:10, 2.64it/s] Loading 0: 37%|███▋ | 107/291 [00:26<00:40, 4.49it/s] Loading 0: 37%|███▋ | 108/291 [00:27<00:38, 4.74it/s] Loading 0: 37%|███▋ | 109/291 [00:27<00:34, 5.34it/s] Loading 0: 38%|███▊ | 111/291 [00:27<00:40, 4.48it/s] Loading 0: 38%|███▊ | 112/291 [00:28<00:53, 3.37it/s] Loading 0: 39%|███▉ | 113/291 [00:28<01:06, 2.66it/s] Loading 0: 40%|███▉ | 116/291 [00:29<00:38, 4.51it/s] Loading 0: 40%|████ | 117/291 [00:29<00:36, 4.75it/s] Loading 0: 41%|████ | 118/291 [00:29<00:32, 5.35it/s] Loading 0: 41%|████ | 120/291 [00:29<00:38, 4.43it/s] Loading 0: 42%|████▏ | 121/291 [00:30<00:50, 3.36it/s] Loading 0: 42%|████▏ | 122/291 [00:31<01:03, 2.66it/s] Loading 0: 43%|████▎ | 125/291 [00:31<00:36, 4.52it/s] Loading 0: 43%|████▎ | 126/291 [00:31<00:34, 4.76it/s] Loading 0: 44%|████▎ | 127/291 [00:31<00:30, 5.36it/s] Loading 0: 44%|████▍ | 129/291 [00:32<00:36, 4.49it/s] Loading 0: 45%|████▍ | 130/291 [00:32<00:47, 3.36it/s] Loading 0: 45%|████▌ | 131/291 [00:33<00:59, 2.67it/s] Loading 0: 46%|████▌ | 134/291 [00:33<00:34, 4.57it/s] Loading 0: 46%|████▋ | 135/291 [00:33<00:32, 4.82it/s] Loading 0: 47%|████▋ | 136/291 [00:33<00:28, 5.41it/s] Loading 0: 47%|████▋ | 138/291 [00:34<00:33, 4.50it/s] Loading 0: 48%|████▊ | 139/291 [00:34<00:44, 3.40it/s] Loading 0: 48%|████▊ | 140/291 [00:35<00:56, 2.68it/s] Loading 0: 49%|████▉ | 143/291 [00:35<00:32, 4.57it/s] Loading 0: 49%|████▉ | 144/291 [00:35<00:30, 4.82it/s] Loading 0: 50%|████▉ | 145/291 [00:36<00:27, 5.40it/s] Loading 0: 51%|█████ | 147/291 [00:36<00:31, 4.50it/s] Loading 0: 51%|█████ | 148/291 [00:37<00:42, 3.35it/s] Loading 0: 51%|█████ | 149/291 [00:37<00:54, 2.62it/s] Loading 0: 52%|█████▏ | 152/291 [00:38<00:31, 4.46it/s] Loading 0: 53%|█████▎ | 153/291 [00:38<00:29, 4.71it/s] Loading 0: 53%|█████▎ | 154/291 [00:38<00:25, 5.29it/s] Loading 0: 54%|█████▎ | 156/291 [00:38<00:30, 4.46it/s] Loading 0: 54%|█████▍ | 157/291 [00:39<00:39, 3.37it/s] Loading 0: 54%|█████▍ | 158/291 [00:40<00:50, 2.65it/s] Loading 0: 55%|█████▌ | 161/291 [00:40<00:28, 4.54it/s] Loading 0: 56%|█████▌ | 162/291 [00:40<00:26, 4.78it/s] Loading 0: 56%|█████▌ | 163/291 [00:40<00:24, 5.33it/s] Loading 0: 57%|█████▋ | 165/291 [00:41<00:28, 4.49it/s] Loading 0: 57%|█████▋ | 166/291 [00:41<00:36, 3.38it/s] Loading 0: 57%|█████▋ | 167/291 [00:42<00:47, 2.62it/s] Loading 0: 58%|█████▊ | 170/291 [00:42<00:26, 4.51it/s] Loading 0: 59%|█████▉ | 171/291 [00:42<00:25, 4.76it/s] Loading 0: 59%|█████▉ | 172/291 [00:42<00:22, 5.33it/s] Loading 0: 59%|█████▉ | 173/291 [00:43<00:32, 3.62it/s] Loading 0: 60%|██████ | 175/291 [00:43<00:23, 4.95it/s] Loading 0: 60%|██████ | 176/291 [00:43<00:22, 5.18it/s] Loading 0: 61%|██████ | 177/291 [00:43<00:19, 5.80it/s] Loading 0: 62%|██████▏ | 179/291 [00:44<00:24, 4.55it/s] Loading 0: 62%|██████▏ | 180/291 [00:44<00:33, 3.36it/s] Loading 0: 62%|██████▏ | 181/291 [00:45<00:41, 2.64it/s] Loading 0: 63%|██████▎ | 184/291 [00:45<00:23, 4.61it/s] Loading 0: 64%|██████▎ | 185/291 [00:45<00:21, 4.85it/s] Loading 0: 64%|██████▍ | 186/291 [00:46<00:19, 5.41it/s] Loading 0: 64%|██████▍ | 187/291 [00:46<00:19, 5.47it/s] Loading 0: 65%|██████▍ | 188/291 [00:46<00:28, 3.58it/s] Loading 0: 65%|██████▍ | 189/291 [00:47<00:37, 2.69it/s] Loading 0: 66%|██████▌ | 192/291 [00:47<00:27, 3.66it/s] Loading 0: 66%|██████▋ | 193/291 [00:48<00:32, 3.01it/s] Loading 0: 67%|██████▋ | 194/291 [00:49<00:38, 2.52it/s] Loading 0: 68%|██████▊ | 197/291 [00:49<00:21, 4.30it/s] Loading 0: 68%|██████▊ | 198/291 [00:49<00:20, 4.56it/s] Loading 0: 68%|██████▊ | 199/291 [00:49<00:17, 5.14it/s] Loading 0: 69%|██████▉ | 201/291 [00:50<00:20, 4.41it/s] Loading 0: 69%|██████▉ | 202/291 [00:50<00:26, 3.37it/s] Loading 0: 70%|██████▉ | 203/291 [00:51<00:32, 2.68it/s] Loading 0: 71%|███████ | 206/291 [00:51<00:18, 4.52it/s] Loading 0: 71%|███████ | 207/291 [00:51<00:17, 4.78it/s] Loading 0: 71%|███████▏ | 208/291 [00:51<00:15, 5.37it/s] Loading 0: 72%|███████▏ | 210/291 [00:52<00:17, 4.51it/s] Loading 0: 73%|███████▎ | 211/291 [00:52<00:23, 3.40it/s] Loading 0: 73%|███████▎ | 212/291 [00:53<00:29, 2.68it/s] Loading 0: 74%|███████▍ | 215/291 [00:53<00:16, 4.60it/s] Loading 0: 74%|███████▍ | 216/291 [00:53<00:15, 4.92it/s] Loading 0: 75%|███████▍ | 217/291 [00:53<00:13, 5.49it/s] Loading 0: 75%|███████▌ | 219/291 [00:54<00:15, 4.56it/s] Loading 0: 76%|███████▌ | 220/291 [00:55<00:20, 3.44it/s] Loading 0: 76%|███████▌ | 221/291 [00:55<00:25, 2.72it/s] Loading 0: 77%|███████▋ | 224/291 [00:55<00:14, 4.63it/s] Loading 0: 77%|███████▋ | 225/291 [00:56<00:13, 4.87it/s] Loading 0: 78%|███████▊ | 226/291 [00:56<00:12, 5.38it/s] Loading 0: 78%|███████▊ | 228/291 [00:56<00:13, 4.51it/s] Loading 0: 79%|███████▊ | 229/291 [00:57<00:18, 3.41it/s] Loading 0: 79%|███████▉ | 230/291 [00:57<00:22, 2.70it/s] Loading 0: 80%|████████ | 233/291 [00:58<00:12, 4.63it/s] Loading 0: 80%|████████ | 234/291 [00:58<00:11, 4.88it/s] Loading 0: 81%|████████ | 235/291 [00:58<00:10, 5.46it/s] Loading 0: 81%|████████▏ | 237/291 [00:58<00:11, 4.53it/s] Loading 0: 82%|████████▏ | 238/291 [00:59<00:15, 3.43it/s] Loading 0: 82%|████████▏ | 239/291 [01:00<00:19, 2.71it/s] Loading 0: 83%|████████▎ | 242/291 [01:00<00:10, 4.63it/s] Loading 0: 84%|████████▎ | 243/291 [01:00<00:09, 4.87it/s] Loading 0: 84%|████████▍ | 244/291 [01:00<00:08, 5.47it/s] Loading 0: 85%|████████▍ | 246/291 [01:01<00:09, 4.52it/s] Loading 0: 85%|████████▍ | 247/291 [01:01<00:12, 3.43it/s] Loading 0: 85%|████████▌ | 248/291 [01:02<00:15, 2.71it/s] Loading 0: 86%|████████▋ | 251/291 [01:02<00:08, 4.60it/s] Loading 0: 87%|████████▋ | 252/291 [01:02<00:08, 4.85it/s] Loading 0: 87%|████████▋ | 253/291 [01:02<00:07, 5.42it/s] Loading 0: 88%|████████▊ | 255/291 [01:03<00:07, 4.54it/s] Loading 0: 88%|████████▊ | 256/291 [01:03<00:10, 3.41it/s] Loading 0: 88%|████████▊ | 257/291 [01:04<00:12, 2.70it/s] Loading 0: 89%|████████▉ | 260/291 [01:04<00:06, 4.59it/s] Loading 0: 90%|████████▉ | 261/291 [01:04<00:06, 4.84it/s] Loading 0: 90%|█████████ | 262/291 [01:04<00:05, 5.40it/s] Loading 0: 91%|█████████ | 264/291 [01:05<00:05, 4.52it/s] Loading 0: 91%|█████████ | 265/291 [01:06<00:07, 3.42it/s] Loading 0: 91%|█████████▏| 266/291 [01:06<00:09, 2.70it/s] Loading 0: 92%|█████████▏| 269/291 [01:06<00:04, 4.65it/s] Loading 0: 93%|█████████▎| 270/291 [01:07<00:04, 4.89it/s] Loading 0: 93%|█████████▎| 271/291 [01:07<00:03, 5.45it/s] Loading 0: 94%|█████████▍| 273/291 [01:07<00:03, 4.51it/s] Loading 0: 94%|█████████▍| 274/291 [01:08<00:04, 3.41it/s] Loading 0: 95%|█████████▍| 275/291 [01:08<00:06, 2.65it/s] Loading 0: 96%|█████████▌| 278/291 [01:09<00:02, 4.57it/s] Loading 0: 96%|█████████▌| 279/291 [01:09<00:02, 4.81it/s] Loading 0: 96%|█████████▌| 280/291 [01:09<00:02, 5.40it/s] Loading 0: 97%|█████████▋| 281/291 [01:09<00:02, 3.65it/s] Loading 0: 97%|█████████▋| 282/291 [01:10<00:03, 2.77it/s] Loading 0: 98%|█████████▊| 284/291 [01:10<00:01, 3.98it/s] Loading 0: 98%|█████████▊| 285/291 [01:10<00:01, 4.34it/s] Loading 0: 98%|█████████▊| 286/291 [01:11<00:00, 5.02it/s] Loading 0: 99%|█████████▊| 287/291 [01:11<00:00, 4.99it/s] Loading 0: 99%|█████████▉| 288/291 [01:11<00:00, 3.36it/s]
Job alexdaoud-trainer-bagir-9721-v2-mkmlizer completed after 268.51s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-9721-v2-mkmlizer
Pipeline stage MKMLizer completed in 268.97s
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-9721-v2
Waiting for inference service alexdaoud-trainer-bagir-9721-v2 to be ready
Retrying (%r) after connection broken by '%r': %s
Inference service alexdaoud-trainer-bagir-9721-v2 ready after 130.47495031356812s
Pipeline stage MKMLDeployer completed in 130.98s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.7940752506256104s
Received healthy response to inference request in 2.97021484375s
Received healthy response to inference request in 4.031930685043335s
Received healthy response to inference request in 3.069955587387085s
Received healthy response to inference request in 2.471881151199341s
5 requests
0 failed requests
5th percentile: 2.5715478897094726
10th percentile: 2.6712146282196043
20th percentile: 2.8705481052398683
30th percentile: 2.990162992477417
40th percentile: 3.030059289932251
50th percentile: 3.069955587387085
60th percentile: 3.359603452682495
70th percentile: 3.649251317977905
80th percentile: 3.841646337509155
90th percentile: 3.9367885112762453
95th percentile: 3.98435959815979
99th percentile: 4.022416467666626
mean time: 3.267611503601074
Pipeline stage StressChecker completed in 17.64s
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 0.66s
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 0.78s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_9721_v2 status is now deployed due to DeploymentManager action
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 3243.68s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_9721_v2 status is now inactive due to auto deactivation removed underperforming models
alexdaoud-trainer-bagir-_9721_v2 status is now torndown due to DeploymentManager action