developer_uid: chai_backend_admin
submission_id: alexdaoud-trainer-bagir_78666_v2
model_name: alexdaoud-trainer-bagir_78666_v2
model_group: alexdaoud/trainer_bagir_
status: torndown
timestamp: 2025-01-20T18:01:20+00:00
num_battles: 13116
num_wins: 7115
celo_rating: 1298.17
family_friendly_score: 0.5724
family_friendly_standard_error: 0.006996545433283485
submission_type: basic
model_repo: alexdaoud/trainer_bagir_2024-12-11-checkpoint-79
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_78666_v2
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: alexdaoud/trainer_bagir_2024-12-11-checkpoint-79
model_size: 8B
ranking_group: single
us_pacific_date: 2025-01-20
win_ratio: 0.5424672156145166
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-78666-v2-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-78666-v2-mkmlizer to finish
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-78666-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-78666-v2-mkmlizer: Downloaded to shared memory in 32.923s
alexdaoud-trainer-bagir-78666-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp4mbdde7a, device:0
alexdaoud-trainer-bagir-78666-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-78666-v2-mkmlizer: quantized model in 85.734s
alexdaoud-trainer-bagir-78666-v2-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-79 in 118.658s
alexdaoud-trainer-bagir-78666-v2-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-78666-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-78666-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-78666-v2
alexdaoud-trainer-bagir-78666-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-78666-v2/config.json
alexdaoud-trainer-bagir-78666-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-78666-v2/special_tokens_map.json
alexdaoud-trainer-bagir-78666-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-78666-v2/tokenizer_config.json
alexdaoud-trainer-bagir-78666-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-78666-v2/tokenizer.json
alexdaoud-trainer-bagir-78666-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-78666-v2/flywheel_model.0.safetensors
alexdaoud-trainer-bagir-78666-v2-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<01:32, 3.10it/s] Loading 0: 2%|▏ | 5/291 [00:01<02:03, 2.31it/s] Loading 0: 3%|▎ | 8/291 [00:02<01:03, 4.42it/s] Loading 0: 3%|▎ | 9/291 [00:02<01:02, 4.49it/s] Loading 0: 3%|▎ | 10/291 [00:02<00:54, 5.12it/s] Loading 0: 4%|▍ | 12/291 [00:02<01:05, 4.25it/s] Loading 0: 4%|▍ | 13/291 [00:03<01:27, 3.17it/s] Loading 0: 5%|▍ | 14/291 [00:04<01:51, 2.49it/s] Loading 0: 6%|▌ | 17/291 [00:04<01:03, 4.31it/s] Loading 0: 6%|▌ | 18/291 [00:04<01:00, 4.54it/s] Loading 0: 7%|▋ | 19/291 [00:04<00:53, 5.12it/s] Loading 0: 7%|▋ | 21/291 [00:05<01:03, 4.28it/s] Loading 0: 8%|▊ | 22/291 [00:05<01:23, 3.22it/s] Loading 0: 8%|▊ | 23/291 [00:06<01:46, 2.51it/s] Loading 0: 9%|▉ | 26/291 [00:06<01:01, 4.30it/s] Loading 0: 9%|▉ | 27/291 [00:06<00:58, 4.54it/s] Loading 0: 10%|▉ | 28/291 [00:07<00:51, 5.12it/s] Loading 0: 10%|█ | 30/291 [00:07<01:00, 4.29it/s] Loading 0: 11%|█ | 31/291 [00:08<01:20, 3.24it/s] Loading 0: 11%|█ | 32/291 [00:08<01:41, 2.55it/s] Loading 0: 12%|█▏ | 35/291 [00:09<00:58, 4.40it/s] Loading 0: 12%|█▏ | 36/291 [00:09<00:54, 4.64it/s] Loading 0: 13%|█▎ | 37/291 [00:09<00:49, 5.15it/s] Loading 0: 13%|█▎ | 39/291 [00:09<00:58, 4.30it/s] Loading 0: 14%|█▎ | 40/291 [00:10<01:17, 3.24it/s] Loading 0: 14%|█▍ | 41/291 [00:11<01:37, 2.57it/s] Loading 0: 15%|█▌ | 44/291 [00:11<00:56, 4.41it/s] Loading 0: 15%|█▌ | 45/291 [00:11<00:53, 4.64it/s] Loading 0: 16%|█▌ | 46/291 [00:11<00:46, 5.25it/s] Loading 0: 16%|█▋ | 48/291 [00:12<00:55, 4.37it/s] Loading 0: 17%|█▋ | 49/291 [00:12<01:13, 3.31it/s] Loading 0: 17%|█▋ | 50/291 [00:13<01:33, 2.57it/s] Loading 0: 18%|█▊ | 53/291 [00:13<00:53, 4.42it/s] Loading 0: 19%|█▊ | 54/291 [00:13<00:50, 4.65it/s] Loading 0: 19%|█▉ | 55/291 [00:13<00:45, 5.21it/s] Loading 0: 20%|█▉ | 57/291 [00:14<00:54, 4.33it/s] Loading 0: 20%|█▉ | 58/291 [00:15<01:11, 3.26it/s] Loading 0: 20%|██ | 59/291 [00:15<01:30, 2.56it/s] Loading 0: 21%|██▏ | 62/291 [00:16<00:52, 4.35it/s] Loading 0: 22%|██▏ | 63/291 [00:16<00:49, 4.58it/s] Loading 0: 22%|██▏ | 64/291 [00:16<00:43, 5.19it/s] Loading 0: 23%|██▎ | 66/291 [00:16<00:51, 4.33it/s] Loading 0: 23%|██▎ | 67/291 [00:17<01:08, 3.28it/s] Loading 0: 23%|██▎ | 68/291 [00:18<01:26, 2.56it/s] Loading 0: 24%|██▍ | 71/291 [00:18<00:49, 4.41it/s] Loading 0: 25%|██▍ | 72/291 [00:18<00:47, 4.65it/s] Loading 0: 25%|██▌ | 73/291 [00:18<00:41, 5.22it/s] Loading 0: 26%|██▌ | 75/291 [00:19<00:49, 4.36it/s] Loading 0: 26%|██▌ | 76/291 [00:19<01:05, 3.30it/s] Loading 0: 26%|██▋ | 77/291 [00:20<01:22, 2.61it/s] Loading 0: 27%|██▋ | 80/291 [00:20<00:47, 4.48it/s] Loading 0: 28%|██▊ | 81/291 [00:20<00:44, 4.70it/s] Loading 0: 28%|██▊ | 82/291 [00:20<00:39, 5.25it/s] Loading 0: 29%|██▊ | 83/291 [00:21<00:39, 5.31it/s] Loading 0: 29%|██▉ | 84/291 [00:21<00:59, 3.49it/s] Loading 0: 29%|██▉ | 85/291 [00:22<01:14, 2.75it/s] Loading 0: 30%|██▉ | 86/291 [00:22<01:30, 2.27it/s] Loading 0: 31%|███ | 89/291 [00:23<00:47, 4.22it/s] Loading 0: 31%|███ | 90/291 [00:23<00:44, 4.48it/s] Loading 0: 31%|███▏ | 91/291 [00:23<00:39, 5.04it/s] Loading 0: 32%|███▏ | 93/291 [00:23<00:46, 4.24it/s] Loading 0: 32%|███▏ | 94/291 [00:24<01:01, 3.21it/s] Loading 0: 33%|███▎ | 95/291 [00:25<01:16, 2.55it/s] Loading 0: 34%|███▎ | 98/291 [00:25<00:44, 4.35it/s] Loading 0: 34%|███▍ | 99/291 [00:25<00:41, 4.59it/s] Loading 0: 34%|███▍ | 100/291 [00:25<00:36, 5.20it/s] Loading 0: 35%|███▌ | 102/291 [00:26<00:45, 4.20it/s] Loading 0: 35%|███▌ | 103/291 [00:26<00:58, 3.22it/s] Loading 0: 36%|███▌ | 104/291 [00:27<01:13, 2.56it/s] Loading 0: 36%|███▋ | 106/291 [00:27<00:47, 3.92it/s] Loading 0: 37%|███▋ | 107/291 [00:27<00:43, 4.19it/s] Loading 0: 37%|███▋ | 108/291 [00:27<00:40, 4.51it/s] Loading 0: 37%|███▋ | 109/291 [00:28<00:34, 5.24it/s] Loading 0: 38%|███▊ | 111/291 [00:28<00:41, 4.29it/s] Loading 0: 38%|███▊ | 112/291 [00:29<00:56, 3.19it/s] Loading 0: 39%|███▉ | 113/291 [00:29<01:10, 2.52it/s] Loading 0: 40%|███▉ | 116/291 [00:30<00:39, 4.39it/s] Loading 0: 40%|████ | 117/291 [00:30<00:37, 4.63it/s] Loading 0: 41%|████ | 118/291 [00:30<00:33, 5.23it/s] Loading 0: 41%|████ | 120/291 [00:30<00:39, 4.36it/s] Loading 0: 42%|████▏ | 121/291 [00:31<00:51, 3.30it/s] Loading 0: 42%|████▏ | 122/291 [00:32<01:04, 2.61it/s] Loading 0: 43%|████▎ | 125/291 [00:32<00:37, 4.43it/s] Loading 0: 43%|████▎ | 126/291 [00:32<00:35, 4.66it/s] Loading 0: 44%|████▎ | 127/291 [00:32<00:31, 5.24it/s] Loading 0: 44%|████▍ | 129/291 [00:33<00:37, 4.37it/s] Loading 0: 45%|████▍ | 130/291 [00:33<00:48, 3.29it/s] Loading 0: 45%|████▌ | 131/291 [00:34<01:02, 2.58it/s] Loading 0: 46%|████▌ | 134/291 [00:34<00:35, 4.36it/s] Loading 0: 46%|████▋ | 135/291 [00:34<00:33, 4.61it/s] Loading 0: 47%|████▋ | 136/291 [00:34<00:29, 5.19it/s] Loading 0: 47%|████▋ | 138/291 [00:35<00:35, 4.33it/s] Loading 0: 48%|████▊ | 139/291 [00:36<00:46, 3.26it/s] Loading 0: 48%|████▊ | 140/291 [00:36<00:58, 2.57it/s] Loading 0: 49%|████▉ | 143/291 [00:36<00:33, 4.40it/s] Loading 0: 49%|████▉ | 144/291 [00:37<00:31, 4.63it/s] Loading 0: 50%|████▉ | 145/291 [00:37<00:27, 5.23it/s] Loading 0: 51%|█████ | 147/291 [00:37<00:32, 4.37it/s] Loading 0: 51%|█████ | 148/291 [00:38<00:43, 3.30it/s] Loading 0: 51%|█████ | 149/291 [00:38<00:54, 2.60it/s] Loading 0: 52%|█████▏ | 152/291 [00:39<00:31, 4.46it/s] Loading 0: 53%|█████▎ | 153/291 [00:39<00:29, 4.70it/s] Loading 0: 53%|█████▎ | 154/291 [00:39<00:25, 5.29it/s] Loading 0: 54%|█████▎ | 156/291 [00:40<00:30, 4.39it/s] Loading 0: 54%|█████▍ | 157/291 [00:40<00:40, 3.31it/s] Loading 0: 54%|█████▍ | 158/291 [00:41<00:50, 2.61it/s] Loading 0: 55%|█████▌ | 161/291 [00:41<00:29, 4.47it/s] Loading 0: 56%|█████▌ | 162/291 [00:41<00:27, 4.71it/s] Loading 0: 56%|█████▌ | 163/291 [00:41<00:24, 5.31it/s] Loading 0: 57%|█████▋ | 165/291 [00:42<00:28, 4.42it/s] Loading 0: 57%|█████▋ | 166/291 [00:42<00:37, 3.34it/s] Loading 0: 57%|█████▋ | 167/291 [00:43<00:47, 2.63it/s] Loading 0: 58%|█████▊ | 170/291 [00:43<00:26, 4.51it/s] Loading 0: 59%|█████▉ | 171/291 [00:43<00:25, 4.74it/s] Loading 0: 59%|█████▉ | 172/291 [00:43<00:22, 5.30it/s] Loading 0: 59%|█████▉ | 173/291 [00:44<00:33, 3.56it/s] Loading 0: 60%|██████ | 175/291 [00:44<00:23, 4.87it/s] Loading 0: 60%|██████ | 176/291 [00:44<00:22, 5.09it/s] Loading 0: 61%|██████ | 177/291 [00:45<00:19, 5.70it/s] Loading 0: 62%|██████▏ | 179/291 [00:45<00:25, 4.48it/s] Loading 0: 62%|██████▏ | 180/291 [00:46<00:33, 3.28it/s] Loading 0: 62%|██████▏ | 181/291 [00:46<00:43, 2.53it/s] Loading 0: 63%|██████▎ | 184/291 [00:47<00:24, 4.37it/s] Loading 0: 64%|██████▎ | 185/291 [00:47<00:22, 4.62it/s] Loading 0: 64%|██████▍ | 186/291 [00:47<00:20, 5.23it/s] Loading 0: 64%|██████▍ | 187/291 [00:47<00:19, 5.44it/s] Loading 0: 65%|██████▍ | 188/291 [00:48<00:29, 3.54it/s] Loading 0: 65%|██████▍ | 189/291 [00:48<00:38, 2.65it/s] Loading 0: 66%|██████▌ | 192/291 [00:49<00:27, 3.58it/s] Loading 0: 66%|██████▋ | 193/291 [00:49<00:33, 2.96it/s] Loading 0: 67%|██████▋ | 194/291 [00:50<00:39, 2.46it/s] Loading 0: 68%|██████▊ | 197/291 [00:50<00:22, 4.19it/s] Loading 0: 68%|██████▊ | 198/291 [00:50<00:20, 4.45it/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 [00:52<00:27, 3.29it/s] Loading 0: 70%|██████▉ | 203/291 [00:52<00:33, 2.63it/s] Loading 0: 71%|███████ | 206/291 [00:52<00:19, 4.44it/s] Loading 0: 71%|███████ | 207/291 [00:53<00:17, 4.68it/s] Loading 0: 71%|███████▏ | 208/291 [00:53<00:15, 5.25it/s] Loading 0: 72%|███████▏ | 210/291 [00:53<00:18, 4.41it/s] Loading 0: 73%|███████▎ | 211/291 [00:54<00:24, 3.32it/s] Loading 0: 73%|███████▎ | 212/291 [00:55<00:30, 2.62it/s] Loading 0: 74%|███████▍ | 215/291 [00:55<00:16, 4.48it/s] Loading 0: 74%|███████▍ | 216/291 [00:55<00:15, 4.71it/s] Loading 0: 75%|███████▍ | 217/291 [00:55<00:14, 5.28it/s] Loading 0: 75%|███████▌ | 219/291 [00:56<00:16, 4.38it/s] Loading 0: 76%|███████▌ | 220/291 [00:56<00:21, 3.28it/s] Loading 0: 76%|███████▌ | 221/291 [00:57<00:26, 2.60it/s] Loading 0: 77%|███████▋ | 224/291 [00:57<00:15, 4.46it/s] Loading 0: 77%|███████▋ | 225/291 [00:57<00:14, 4.70it/s] Loading 0: 78%|███████▊ | 226/291 [00:57<00:12, 5.26it/s] Loading 0: 78%|███████▊ | 228/291 [00:58<00:14, 4.37it/s] Loading 0: 79%|███████▊ | 229/291 [00:58<00:18, 3.28it/s] Loading 0: 79%|███████▉ | 230/291 [00:59<00:23, 2.61it/s] Loading 0: 80%|████████ | 233/291 [00:59<00:13, 4.42it/s] Loading 0: 80%|████████ | 234/291 [00:59<00:12, 4.66it/s] Loading 0: 81%|████████ | 235/291 [01:00<00:10, 5.15it/s] Loading 0: 81%|████████▏ | 237/291 [01:00<00:12, 4.34it/s] Loading 0: 82%|████████▏ | 238/291 [01:01<00:16, 3.30it/s] Loading 0: 82%|████████▏ | 239/291 [01:01<00:19, 2.63it/s] Loading 0: 83%|████████▎ | 242/291 [01:02<00:10, 4.46it/s] Loading 0: 84%|████████▎ | 243/291 [01:02<00:10, 4.71it/s] Loading 0: 84%|████████▍ | 244/291 [01:02<00:08, 5.29it/s] Loading 0: 85%|████████▍ | 246/291 [01:02<00:10, 4.42it/s] Loading 0: 85%|████████▍ | 247/291 [01:03<00:13, 3.34it/s] Loading 0: 85%|████████▌ | 248/291 [01:04<00:16, 2.63it/s] Loading 0: 86%|████████▋ | 251/291 [01:04<00:08, 4.51it/s] Loading 0: 87%|████████▋ | 252/291 [01:04<00:08, 4.75it/s] Loading 0: 87%|████████▋ | 253/291 [01:04<00:07, 5.32it/s] Loading 0: 88%|████████▊ | 255/291 [01:05<00:08, 4.44it/s] Loading 0: 88%|████████▊ | 256/291 [01:05<00:10, 3.34it/s] Loading 0: 88%|████████▊ | 257/291 [01:06<00:12, 2.64it/s] Loading 0: 89%|████████▉ | 260/291 [01:06<00:06, 4.45it/s] Loading 0: 90%|████████▉ | 261/291 [01:06<00:06, 4.69it/s] Loading 0: 90%|█████████ | 262/291 [01:06<00:05, 5.25it/s] Loading 0: 91%|█████████ | 264/291 [01:07<00:06, 4.36it/s] Loading 0: 91%|█████████ | 265/291 [01:07<00:07, 3.30it/s] Loading 0: 91%|█████████▏| 266/291 [01:08<00:09, 2.60it/s] Loading 0: 92%|█████████▏| 269/291 [01:08<00:04, 4.48it/s] Loading 0: 93%|█████████▎| 270/291 [01:08<00:04, 4.71it/s] Loading 0: 93%|█████████▎| 271/291 [01:09<00:03, 5.29it/s] Loading 0: 94%|█████████▍| 273/291 [01:09<00:04, 4.41it/s] Loading 0: 94%|█████████▍| 274/291 [01:10<00:05, 3.33it/s] Loading 0: 95%|█████████▍| 275/291 [01:10<00:06, 2.64it/s] Loading 0: 96%|█████████▌| 278/291 [01:11<00:02, 4.53it/s] Loading 0: 96%|█████████▌| 279/291 [01:11<00:02, 4.76it/s] Loading 0: 96%|█████████▌| 280/291 [01:11<00:02, 5.33it/s] Loading 0: 97%|█████████▋| 281/291 [01:11<00:02, 3.59it/s] Loading 0: 97%|█████████▋| 282/291 [01:12<00:03, 2.72it/s] Loading 0: 98%|█████████▊| 284/291 [01:12<00:01, 3.91it/s] Loading 0: 98%|█████████▊| 285/291 [01:12<00:01, 4.26it/s] Loading 0: 98%|█████████▊| 286/291 [01:13<00:01, 4.94it/s] Loading 0: 99%|█████████▊| 287/291 [01:13<00:00, 5.30it/s] Loading 0: 99%|█████████▉| 288/291 [01:13<00:00, 3.41it/s]
Job alexdaoud-trainer-bagir-78666-v2-mkmlizer completed after 145.52s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-78666-v2-mkmlizer
Pipeline stage MKMLizer completed in 146.00s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service alexdaoud-trainer-bagir-78666-v2
Waiting for inference service alexdaoud-trainer-bagir-78666-v2 to be ready
Inference service alexdaoud-trainer-bagir-78666-v2 ready after 120.42445969581604s
Pipeline stage MKMLDeployer completed in 120.97s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 5.071214914321899s
Received healthy response to inference request in 2.200547456741333s
Received healthy response to inference request in 3.9945881366729736s
Received healthy response to inference request in 2.957808256149292s
Received healthy response to inference request in 3.92808198928833s
5 requests
0 failed requests
5th percentile: 2.351999616622925
10th percentile: 2.503451776504517
20th percentile: 2.8063560962677
30th percentile: 3.1518630027770995
40th percentile: 3.539972496032715
50th percentile: 3.92808198928833
60th percentile: 3.9546844482421877
70th percentile: 3.981286907196045
80th percentile: 4.209913492202759
90th percentile: 4.640564203262329
95th percentile: 4.855889558792114
99th percentile: 5.028149843215942
mean time: 3.6304481506347654
%s, retrying in %s seconds...
Received healthy response to inference request in 4.853530168533325s
Received healthy response to inference request in 3.269730806350708s
Received healthy response to inference request in 3.3062925338745117s
Received healthy response to inference request in 2.7466390132904053s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Received healthy response to inference request in 2.671015977859497s
5 requests
0 failed requests
5th percentile: 2.6861405849456785
10th percentile: 2.7012651920318604
20th percentile: 2.731514406204224
30th percentile: 2.8512573719024656
40th percentile: 3.060494089126587
50th percentile: 3.269730806350708
60th percentile: 3.2843554973602296
70th percentile: 3.298980188369751
80th percentile: 3.615740060806275
90th percentile: 4.2346351146698
95th percentile: 4.5440826416015625
99th percentile: 4.791640663146973
mean time: 3.3694416999816896
Pipeline stage StressChecker completed in 37.66s
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 0.67s
Shutdown handler de-registered
alexdaoud-trainer-bagir_78666_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
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-78666-v2-profiler
Waiting for inference service alexdaoud-trainer-bagir-78666-v2-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3493.22s
Shutdown handler de-registered
alexdaoud-trainer-bagir_78666_v2 status is now inactive due to auto deactivation removed underperforming models
alexdaoud-trainer-bagir_78666_v2 status is now torndown due to DeploymentManager action