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-76098-v2-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-76098-v2-mkmlizer to finish
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-76098-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-76098-v2-mkmlizer: Downloaded to shared memory in 31.135s
alexdaoud-trainer-bagir-76098-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpdjct3kri, device:0
alexdaoud-trainer-bagir-76098-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-76098-v2-mkmlizer: quantized model in 85.503s
alexdaoud-trainer-bagir-76098-v2-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-64 in 116.638s
alexdaoud-trainer-bagir-76098-v2-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-76098-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-76098-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-76098-v2
alexdaoud-trainer-bagir-76098-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-76098-v2/config.json
alexdaoud-trainer-bagir-76098-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-76098-v2/special_tokens_map.json
alexdaoud-trainer-bagir-76098-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-76098-v2/tokenizer_config.json
alexdaoud-trainer-bagir-76098-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-76098-v2/tokenizer.json
alexdaoud-trainer-bagir-76098-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-76098-v2/flywheel_model.0.safetensors
alexdaoud-trainer-bagir-76098-v2-mkmlizer:
Loading 0: 0%| | 0/291 [00:00<?, ?it/s]
Loading 0: 1%| | 3/291 [00:00<00:56, 5.06it/s]
Loading 0: 1%|▏ | 4/291 [00:01<01:33, 3.08it/s]
Loading 0: 2%|▏ | 5/291 [00:01<02:03, 2.31it/s]
Loading 0: 3%|▎ | 8/291 [00:02<01:04, 4.42it/s]
Loading 0: 3%|▎ | 9/291 [00:02<01:03, 4.47it/s]
Loading 0: 3%|▎ | 10/291 [00:02<00:55, 5.08it/s]
Loading 0: 4%|▍ | 12/291 [00:02<01:05, 4.24it/s]
Loading 0: 4%|▍ | 13/291 [00:03<01:27, 3.19it/s]
Loading 0: 5%|▍ | 14/291 [00:04<01:49, 2.52it/s]
Loading 0: 6%|▌ | 17/291 [00:04<01:03, 4.34it/s]
Loading 0: 6%|▌ | 18/291 [00:04<00:59, 4.57it/s]
Loading 0: 7%|▋ | 19/291 [00:04<00:52, 5.13it/s]
Loading 0: 7%|▋ | 21/291 [00:05<01:02, 4.30it/s]
Loading 0: 8%|▊ | 22/291 [00:05<01:22, 3.25it/s]
Loading 0: 8%|▊ | 23/291 [00:06<01:45, 2.54it/s]
Loading 0: 9%|▉ | 26/291 [00:06<01:01, 4.33it/s]
Loading 0: 9%|▉ | 27/291 [00:06<00:57, 4.57it/s]
Loading 0: 10%|▉ | 28/291 [00:07<00:50, 5.16it/s]
Loading 0: 10%|█ | 30/291 [00:07<01:00, 4.32it/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, 4.35it/s]
Loading 0: 12%|█▏ | 36/291 [00:09<00:55, 4.59it/s]
Loading 0: 13%|█▎ | 37/291 [00:09<00:49, 5.17it/s]
Loading 0: 13%|█▎ | 39/291 [00:09<00:58, 4.31it/s]
Loading 0: 14%|█▎ | 40/291 [00:10<01:17, 3.26it/s]
Loading 0: 14%|█▍ | 41/291 [00:11<01:38, 2.53it/s]
Loading 0: 15%|█▌ | 44/291 [00:11<00:56, 4.36it/s]
Loading 0: 15%|█▌ | 45/291 [00:11<00:53, 4.59it/s]
Loading 0: 16%|█▌ | 46/291 [00:11<00:47, 5.18it/s]
Loading 0: 16%|█▋ | 48/291 [00:12<00:56, 4.32it/s]
Loading 0: 17%|█▋ | 49/291 [00:12<01:14, 3.23it/s]
Loading 0: 17%|█▋ | 50/291 [00:13<01:34, 2.54it/s]
Loading 0: 18%|█▊ | 53/291 [00:13<00:55, 4.32it/s]
Loading 0: 19%|█▊ | 54/291 [00:13<00:51, 4.57it/s]
Loading 0: 19%|█▉ | 55/291 [00:13<00:45, 5.17it/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<01:29, 2.58it/s]
Loading 0: 21%|██▏ | 62/291 [00:16<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, 5.18it/s]
Loading 0: 23%|██▎ | 66/291 [00:16<00:51, 4.35it/s]
Loading 0: 23%|██▎ | 67/291 [00:17<01:07, 3.29it/s]
Loading 0: 23%|██▎ | 68/291 [00:18<01:25, 2.61it/s]
Loading 0: 24%|██▍ | 71/291 [00:18<00:49, 4.49it/s]
Loading 0: 25%|██▍ | 72/291 [00:18<00:46, 4.71it/s]
Loading 0: 25%|██▌ | 73/291 [00:18<00:41, 5.30it/s]
Loading 0: 26%|██▌ | 75/291 [00:19<00:48, 4.41it/s]
Loading 0: 26%|██▌ | 76/291 [00:19<01:04, 3.32it/s]
Loading 0: 26%|██▋ | 77/291 [00:20<01:21, 2.61it/s]
Loading 0: 27%|██▋ | 80/291 [00:20<00:47, 4.42it/s]
Loading 0: 28%|██▊ | 81/291 [00:20<00:45, 4.65it/s]
Loading 0: 28%|██▊ | 82/291 [00:20<00:40, 5.20it/s]
Loading 0: 29%|██▊ | 83/291 [00:21<00:39, 5.22it/s]
Loading 0: 29%|██▉ | 84/291 [00:21<00:59, 3.46it/s]
Loading 0: 29%|██▉ | 85/291 [00:22<01:14, 2.75it/s]
Loading 0: 30%|██▉ | 86/291 [00:22<01:30, 2.26it/s]
Loading 0: 31%|███ | 89/291 [00:23<00:48, 4.14it/s]
Loading 0: 31%|███ | 90/291 [00:23<00:45, 4.42it/s]
Loading 0: 31%|███▏ | 91/291 [00:23<00:40, 4.98it/s]
Loading 0: 32%|███▏ | 93/291 [00:23<00:46, 4.23it/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<00:43, 4.42it/s]
Loading 0: 34%|███▍ | 99/291 [00:25<00:41, 4.64it/s]
Loading 0: 34%|███▍ | 100/291 [00:25<00:36, 5.20it/s]
Loading 0: 35%|███▌ | 102/291 [00:26<00:43, 4.36it/s]
Loading 0: 35%|███▌ | 103/291 [00:26<00:57, 3.29it/s]
Loading 0: 36%|███▌ | 104/291 [00:27<01:11, 2.61it/s]
Loading 0: 37%|███▋ | 107/291 [00:27<00:41, 4.48it/s]
Loading 0: 37%|███▋ | 108/291 [00:27<00:38, 4.71it/s]
Loading 0: 37%|███▋ | 109/291 [00:27<00:34, 5.31it/s]
Loading 0: 38%|███▊ | 111/291 [00:28<00:40, 4.40it/s]
Loading 0: 38%|███▊ | 112/291 [00:29<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, 4.42it/s]
Loading 0: 40%|████ | 117/291 [00:30<00:37, 4.65it/s]
Loading 0: 41%|████ | 118/291 [00:30<00:33, 5.24it/s]
Loading 0: 41%|████ | 120/291 [00:30<00:39, 4.37it/s]
Loading 0: 42%|████▏ | 121/291 [00:31<00:51, 3.30it/s]
Loading 0: 42%|████▏ | 122/291 [00:31<01:05, 2.59it/s]
Loading 0: 43%|████▎ | 125/291 [00:32<00:37, 4.38it/s]
Loading 0: 43%|████▎ | 126/291 [00:32<00:35, 4.62it/s]
Loading 0: 44%|████▎ | 127/291 [00:32<00:31, 5.15it/s]
Loading 0: 44%|████▍ | 129/291 [00:33<00:37, 4.32it/s]
Loading 0: 45%|████▍ | 130/291 [00:33<00:49, 3.27it/s]
Loading 0: 45%|████▌ | 131/291 [00:34<01:01, 2.59it/s]
Loading 0: 46%|████▌ | 134/291 [00:34<00:35, 4.39it/s]
Loading 0: 46%|████▋ | 135/291 [00:34<00:33, 4.63it/s]
Loading 0: 47%|████▋ | 136/291 [00:34<00:29, 5.22it/s]
Loading 0: 47%|████▋ | 138/291 [00:35<00:35, 4.37it/s]
Loading 0: 48%|████▊ | 139/291 [00:35<00:45, 3.31it/s]
Loading 0: 48%|████▊ | 140/291 [00:36<00:58, 2.60it/s]
Loading 0: 49%|████▉ | 143/291 [00:36<00:33, 4.42it/s]
Loading 0: 49%|████▉ | 144/291 [00:36<00:31, 4.66it/s]
Loading 0: 50%|████▉ | 145/291 [00:37<00:27, 5.25it/s]
Loading 0: 51%|█████ | 147/291 [00:37<00:32, 4.38it/s]
Loading 0: 51%|█████ | 148/291 [00:38<00:43, 3.31it/s]
Loading 0: 51%|█████ | 149/291 [00:38<00:54, 2.62it/s]
Loading 0: 52%|█████▏ | 152/291 [00:39<00:31, 4.43it/s]
Loading 0: 53%|█████▎ | 153/291 [00:39<00:29, 4.67it/s]
Loading 0: 53%|█████▎ | 154/291 [00:39<00:26, 5.25it/s]
Loading 0: 54%|█████▎ | 156/291 [00:39<00:30, 4.40it/s]
Loading 0: 54%|█████▍ | 157/291 [00:40<00:40, 3.32it/s]
Loading 0: 54%|█████▍ | 158/291 [00:41<00:51, 2.60it/s]
Loading 0: 55%|█████▌ | 161/291 [00:41<00:29, 4.41it/s]
Loading 0: 56%|█████▌ | 162/291 [00:41<00:27, 4.66it/s]
Loading 0: 56%|█████▌ | 163/291 [00:41<00:24, 5.24it/s]
Loading 0: 57%|█████▋ | 165/291 [00:42<00:28, 4.38it/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<00:27, 4.42it/s]
Loading 0: 59%|█████▉ | 171/291 [00:43<00:25, 4.67it/s]
Loading 0: 59%|█████▉ | 172/291 [00:43<00:22, 5.25it/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 [00:44<00:19, 5.71it/s]
Loading 0: 62%|██████▏ | 179/291 [00:45<00:24, 4.50it/s]
Loading 0: 62%|██████▏ | 180/291 [00:46<00:33, 3.32it/s]
Loading 0: 62%|██████▏ | 181/291 [00:46<00:42, 2.60it/s]
Loading 0: 63%|██████▎ | 184/291 [00:46<00:23, 4.53it/s]
Loading 0: 64%|██████▎ | 185/291 [00:47<00:22, 4.77it/s]
Loading 0: 64%|██████▍ | 186/291 [00:47<00:19, 5.38it/s]
Loading 0: 64%|██████▍ | 187/291 [00:47<00:18, 5.58it/s]
Loading 0: 65%|██████▍ | 188/291 [00:47<00:28, 3.59it/s]
Loading 0: 65%|██████▍ | 189/291 [00:48<00:38, 2.68it/s]
Loading 0: 66%|██████▌ | 192/291 [00:49<00:27, 3.62it/s]
Loading 0: 66%|██████▋ | 193/291 [00:49<00:32, 2.99it/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, 5.05it/s]
Loading 0: 69%|██████▉ | 201/291 [00:51<00:20, 4.32it/s]
Loading 0: 69%|██████▉ | 202/291 [00:51<00:26, 3.30it/s]
Loading 0: 70%|██████▉ | 203/291 [00:52<00:33, 2.63it/s]
Loading 0: 71%|███████ | 206/291 [00:52<00:19, 4.45it/s]
Loading 0: 71%|███████ | 207/291 [00:52<00:17, 4.69it/s]
Loading 0: 71%|███████▏ | 208/291 [00:53<00:15, 5.29it/s]
Loading 0: 72%|███████▏ | 210/291 [00:53<00:18, 4.42it/s]
Loading 0: 73%|███████▎ | 211/291 [00:54<00:24, 3.32it/s]
Loading 0: 73%|███████▎ | 212/291 [00:54<00:30, 2.62it/s]
Loading 0: 74%|███████▍ | 215/291 [00:55<00:17, 4.44it/s]
Loading 0: 74%|███████▍ | 216/291 [00:55<00:16, 4.68it/s]
Loading 0: 75%|███████▍ | 217/291 [00:55<00:14, 5.26it/s]
Loading 0: 75%|███████▌ | 219/291 [00:55<00:16, 4.41it/s]
Loading 0: 76%|███████▌ | 220/291 [00:56<00:21, 3.33it/s]
Loading 0: 76%|███████▌ | 221/291 [00:57<00:26, 2.64it/s]
Loading 0: 77%|███████▋ | 224/291 [00:57<00:14, 4.47it/s]
Loading 0: 77%|███████▋ | 225/291 [00:57<00:13, 4.72it/s]
Loading 0: 78%|███████▊ | 226/291 [00:57<00:12, 5.28it/s]
Loading 0: 78%|███████▊ | 228/291 [00:58<00:14, 4.42it/s]
Loading 0: 79%|███████▊ | 229/291 [00:58<00:18, 3.34it/s]
Loading 0: 79%|███████▉ | 230/291 [00:59<00:23, 2.65it/s]
Loading 0: 80%|████████ | 233/291 [00:59<00:12, 4.54it/s]
Loading 0: 80%|████████ | 234/291 [00:59<00:11, 4.77it/s]
Loading 0: 81%|████████ | 235/291 [00:59<00:10, 5.34it/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, 4.78it/s]
Loading 0: 84%|████████▍ | 244/291 [01:02<00:08, 5.37it/s]
Loading 0: 85%|████████▍ | 246/291 [01:02<00:10, 4.43it/s]
Loading 0: 85%|████████▍ | 247/291 [01:03<00:13, 3.34it/s]
Loading 0: 85%|████████▌ | 248/291 [01:03<00:16, 2.65it/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, 5.36it/s]
Loading 0: 88%|████████▊ | 255/291 [01:04<00:08, 4.43it/s]
Loading 0: 88%|████████▊ | 256/291 [01:05<00:10, 3.32it/s]
Loading 0: 88%|████████▊ | 257/291 [01:06<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, 5.32it/s]
Loading 0: 91%|█████████ | 264/291 [01:07<00:06, 4.39it/s]
Loading 0: 91%|█████████ | 265/291 [01:07<00:07, 3.33it/s]
Loading 0: 91%|█████████▏| 266/291 [01:08<00:09, 2.63it/s]
Loading 0: 92%|█████████▏| 269/291 [01:08<00:04, 4.53it/s]
Loading 0: 93%|█████████▎| 270/291 [01:08<00:04, 4.77it/s]
Loading 0: 93%|█████████▎| 271/291 [01:08<00:03, 5.35it/s]
Loading 0: 94%|█████████▍| 273/291 [01:09<00:04, 4.46it/s]
Loading 0: 94%|█████████▍| 274/291 [01:09<00:05, 3.36it/s]
Loading 0: 95%|█████████▍| 275/291 [01:10<00:06, 2.63it/s]
Loading 0: 96%|█████████▌| 278/291 [01:10<00:02, 4.52it/s]
Loading 0: 96%|█████████▌| 279/291 [01:10<00:02, 4.75it/s]
Loading 0: 96%|█████████▌| 280/291 [01:10<00:02, 5.35it/s]
Loading 0: 97%|█████████▋| 281/291 [01:11<00:02, 3.60it/s]
Loading 0: 97%|█████████▋| 282/291 [01:12<00:03, 2.73it/s]
Loading 0: 98%|█████████▊| 284/291 [01:12<00:01, 3.91it/s]
Loading 0: 98%|█████████▊| 285/291 [01:12<00:01, 4.27it/s]
Loading 0: 98%|█████████▊| 286/291 [01:12<00:01, 4.96it/s]
Loading 0: 99%|█████████▊| 287/291 [01:12<00:00, 5.38it/s]
Loading 0: 99%|█████████▉| 288/291 [01:13<00:00, 3.45it/s]
Job alexdaoud-trainer-bagir-76098-v2-mkmlizer completed after 145.12s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-76098-v2-mkmlizer
Pipeline stage MKMLizer completed in 145.65s
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-76098-v2
Waiting for inference service alexdaoud-trainer-bagir-76098-v2 to be ready
Inference service alexdaoud-trainer-bagir-76098-v2 ready after 120.4244270324707s
Pipeline stage MKMLDeployer completed in 120.87s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.0483217239379883s
Received healthy response to inference request in 3.422699451446533s
Received healthy response to inference request in 2.63797664642334s
Received healthy response to inference request in 3.1979963779449463s
Received healthy response to inference request in 2.4376983642578125s
5 requests
0 failed requests
5th percentile: 2.477754020690918
10th percentile: 2.5178096771240233
20th percentile: 2.5979209899902345
30th percentile: 2.7200456619262696
40th percentile: 2.8841836929321287
50th percentile: 3.0483217239379883
60th percentile: 3.1081915855407716
70th percentile: 3.168061447143555
80th percentile: 3.2429369926452636
90th percentile: 3.3328182220458986
95th percentile: 3.377758836746216
99th percentile: 3.4137113285064697
mean time: 2.948938512802124
Pipeline stage StressChecker completed in 15.84s
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 0.64s
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_76098_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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 6098.75s
Shutdown handler de-registered
alexdaoud-trainer-bagir_76098_v2 status is now inactive due to auto deactivation removed underperforming models
alexdaoud-trainer-bagir_76098_v2 status is now torndown due to DeploymentManager action