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-8911-v2-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-8911-v2-mkmlizer to finish
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ║ ║
alexdaoud-trainer-bagir-8911-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-8911-v2-mkmlizer: Downloaded to shared memory in 29.439s
alexdaoud-trainer-bagir-8911-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpcgpeludp, device:0
alexdaoud-trainer-bagir-8911-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-8911-v2-mkmlizer: quantized model in 83.920s
alexdaoud-trainer-bagir-8911-v2-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-108 in 113.359s
alexdaoud-trainer-bagir-8911-v2-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-8911-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-8911-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-8911-v2
alexdaoud-trainer-bagir-8911-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-8911-v2/config.json
alexdaoud-trainer-bagir-8911-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-8911-v2/special_tokens_map.json
alexdaoud-trainer-bagir-8911-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-8911-v2/tokenizer_config.json
alexdaoud-trainer-bagir-8911-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-8911-v2/flywheel_model.0.safetensors
alexdaoud-trainer-bagir-8911-v2-mkmlizer:
Loading 0: 0%| | 0/291 [00:00<?, ?it/s]
Loading 0: 1%| | 3/291 [00:00<00:54, 5.27it/s]
Loading 0: 1%|▏ | 4/291 [00:01<01:29, 3.22it/s]
Loading 0: 2%|▏ | 5/291 [00:01<01:59, 2.39it/s]
Loading 0: 3%|▎ | 8/291 [00:01<01:01, 4.57it/s]
Loading 0: 3%|▎ | 9/291 [00:02<01:00, 4.63it/s]
Loading 0: 3%|▎ | 10/291 [00:02<00:53, 5.28it/s]
Loading 0: 4%|▍ | 12/291 [00:02<01:03, 4.38it/s]
Loading 0: 4%|▍ | 13/291 [00:03<01:23, 3.32it/s]
Loading 0: 5%|▍ | 14/291 [00:04<01:47, 2.58it/s]
Loading 0: 6%|▌ | 17/291 [00:04<01:01, 4.44it/s]
Loading 0: 6%|▌ | 18/291 [00:04<00:58, 4.68it/s]
Loading 0: 7%|▋ | 19/291 [00:04<00:52, 5.21it/s]
Loading 0: 7%|▋ | 21/291 [00:05<01:01, 4.39it/s]
Loading 0: 8%|▊ | 22/291 [00:05<01:21, 3.30it/s]
Loading 0: 8%|▊ | 23/291 [00:06<01:44, 2.58it/s]
Loading 0: 9%|▉ | 26/291 [00:06<01:00, 4.37it/s]
Loading 0: 9%|▉ | 27/291 [00:06<00:57, 4.63it/s]
Loading 0: 10%|█ | 30/291 [00:07<00:56, 4.60it/s]
Loading 0: 11%|█ | 31/291 [00:07<01:12, 3.59it/s]
Loading 0: 11%|█ | 32/291 [00:08<01:30, 2.85it/s]
Loading 0: 12%|█▏ | 35/291 [00:08<00:55, 4.64it/s]
Loading 0: 12%|█▏ | 36/291 [00:08<00:52, 4.85it/s]
Loading 0: 13%|█▎ | 37/291 [00:09<00:47, 5.32it/s]
Loading 0: 13%|█▎ | 39/291 [00:09<00:55, 4.53it/s]
Loading 0: 14%|█▎ | 40/291 [00:10<01:12, 3.45it/s]
Loading 0: 14%|█▍ | 41/291 [00:10<01:34, 2.65it/s]
Loading 0: 15%|█▌ | 44/291 [00:11<00:55, 4.48it/s]
Loading 0: 15%|█▌ | 45/291 [00:11<00:51, 4.74it/s]
Loading 0: 16%|█▌ | 46/291 [00:11<00:46, 5.24it/s]
Loading 0: 16%|█▋ | 48/291 [00:11<00:54, 4.48it/s]
Loading 0: 17%|█▋ | 49/291 [00:12<01:11, 3.39it/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, 4.72it/s]
Loading 0: 19%|█▉ | 55/291 [00:13<00:44, 5.31it/s]
Loading 0: 20%|█▉ | 57/291 [00:14<00:52, 4.43it/s]
Loading 0: 20%|█▉ | 58/291 [00:14<01:09, 3.36it/s]
Loading 0: 20%|██ | 59/291 [00:15<01:29, 2.59it/s]
Loading 0: 21%|██▏ | 62/291 [00:15<00:52, 4.39it/s]
Loading 0: 22%|██▏ | 63/291 [00:15<00:49, 4.65it/s]
Loading 0: 22%|██▏ | 64/291 [00:15<00:43, 5.22it/s]
Loading 0: 23%|██▎ | 66/291 [00:16<00:51, 4.41it/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, 4.77it/s]
Loading 0: 26%|██▌ | 75/291 [00:18<00:46, 4.65it/s]
Loading 0: 26%|██▌ | 76/291 [00:19<00:59, 3.61it/s]
Loading 0: 26%|██▋ | 77/291 [00:19<01:15, 2.83it/s]
Loading 0: 27%|██▋ | 80/291 [00:20<00:46, 4.53it/s]
Loading 0: 28%|██▊ | 81/291 [00:20<00:44, 4.76it/s]
Loading 0: 28%|██▊ | 82/291 [00:20<00:40, 5.20it/s]
Loading 0: 29%|██▊ | 83/291 [00:20<00:42, 4.84it/s]
Loading 0: 29%|██▉ | 84/291 [00:21<01:01, 3.37it/s]
Loading 0: 29%|██▉ | 85/291 [00:21<01:15, 2.75it/s]
Loading 0: 30%|██▉ | 86/291 [00:22<01:29, 2.30it/s]
Loading 0: 31%|███ | 89/291 [00:22<00:47, 4.24it/s]
Loading 0: 31%|███ | 90/291 [00:22<00:44, 4.54it/s]
Loading 0: 31%|███▏ | 91/291 [00:22<00:38, 5.14it/s]
Loading 0: 32%|███▏ | 93/291 [00:23<00:45, 4.40it/s]
Loading 0: 32%|███▏ | 94/291 [00:23<01:01, 3.22it/s]
Loading 0: 33%|███▎ | 95/291 [00:24<01:15, 2.59it/s]
Loading 0: 34%|███▎ | 98/291 [00:24<00:43, 4.40it/s]
Loading 0: 34%|███▍ | 99/291 [00:24<00:41, 4.66it/s]
Loading 0: 34%|███▍ | 100/291 [00:25<00:36, 5.24it/s]
Loading 0: 35%|███▌ | 102/291 [00:25<00:42, 4.48it/s]
Loading 0: 35%|███▌ | 103/291 [00:26<00:55, 3.36it/s]
Loading 0: 36%|███▌ | 104/291 [00:26<01:09, 2.68it/s]
Loading 0: 37%|███▋ | 107/291 [00:27<00:40, 4.58it/s]
Loading 0: 37%|███▋ | 108/291 [00:27<00:37, 4.83it/s]
Loading 0: 37%|███▋ | 109/291 [00:27<00:33, 5.37it/s]
Loading 0: 38%|███▊ | 111/291 [00:27<00:39, 4.51it/s]
Loading 0: 38%|███▊ | 112/291 [00:28<00:52, 3.42it/s]
Loading 0: 39%|███▉ | 113/291 [00:29<01:05, 2.71it/s]
Loading 0: 40%|███▉ | 116/291 [00:29<00:38, 4.59it/s]
Loading 0: 40%|████ | 117/291 [00:29<00:36, 4.82it/s]
Loading 0: 41%|████ | 118/291 [00:29<00:32, 5.33it/s]
Loading 0: 41%|████ | 120/291 [00:30<00:38, 4.46it/s]
Loading 0: 42%|████▏ | 121/291 [00:30<00:50, 3.38it/s]
Loading 0: 42%|████▏ | 122/291 [00:31<01:03, 2.68it/s]
Loading 0: 43%|████▎ | 125/291 [00:31<00:36, 4.54it/s]
Loading 0: 43%|████▎ | 126/291 [00:31<00:34, 4.78it/s]
Loading 0: 44%|████▎ | 127/291 [00:31<00:30, 5.38it/s]
Loading 0: 44%|████▍ | 129/291 [00:32<00:35, 4.53it/s]
Loading 0: 45%|████▍ | 130/291 [00:32<00:46, 3.43it/s]
Loading 0: 45%|████▌ | 131/291 [00:33<00:58, 2.72it/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%|████▋ | 138/291 [00:34<00:32, 4.73it/s]
Loading 0: 48%|████▊ | 139/291 [00:35<00:41, 3.69it/s]
Loading 0: 48%|████▊ | 140/291 [00:35<00:51, 2.90it/s]
Loading 0: 49%|████▉ | 143/291 [00:35<00:31, 4.63it/s]
Loading 0: 49%|████▉ | 144/291 [00:36<00:30, 4.86it/s]
Loading 0: 50%|████▉ | 145/291 [00:36<00:26, 5.42it/s]
Loading 0: 51%|█████ | 147/291 [00:36<00:31, 4.51it/s]
Loading 0: 51%|█████ | 148/291 [00:37<00:42, 3.33it/s]
Loading 0: 51%|█████ | 149/291 [00:37<00:54, 2.63it/s]
Loading 0: 52%|█████▏ | 152/291 [00:38<00:30, 4.49it/s]
Loading 0: 53%|█████▎ | 153/291 [00:38<00:29, 4.75it/s]
Loading 0: 53%|█████▎ | 154/291 [00:38<00:25, 5.35it/s]
Loading 0: 54%|█████▎ | 156/291 [00:38<00:29, 4.55it/s]
Loading 0: 54%|█████▍ | 157/291 [00:39<00:38, 3.46it/s]
Loading 0: 54%|█████▍ | 158/291 [00:40<00:49, 2.71it/s]
Loading 0: 55%|█████▌ | 161/291 [00:40<00:27, 4.66it/s]
Loading 0: 56%|█████▌ | 162/291 [00:40<00:26, 4.90it/s]
Loading 0: 56%|█████▌ | 163/291 [00:40<00:23, 5.35it/s]
Loading 0: 57%|█████▋ | 165/291 [00:41<00:27, 4.55it/s]
Loading 0: 57%|█████▋ | 166/291 [00:41<00:36, 3.45it/s]
Loading 0: 57%|█████▋ | 167/291 [00:42<00:45, 2.73it/s]
Loading 0: 58%|█████▊ | 170/291 [00:42<00:26, 4.62it/s]
Loading 0: 59%|█████▉ | 171/291 [00:42<00:24, 4.84it/s]
Loading 0: 59%|█████▉ | 172/291 [00:42<00:22, 5.40it/s]
Loading 0: 59%|█████▉ | 173/291 [00:43<00:32, 3.64it/s]
Loading 0: 60%|██████ | 175/291 [00:43<00:23, 4.90it/s]
Loading 0: 60%|██████ | 176/291 [00:43<00:22, 5.12it/s]
Loading 0: 61%|██████ | 177/291 [00:43<00:19, 5.73it/s]
Loading 0: 62%|██████▏ | 179/291 [00:44<00:24, 4.54it/s]
Loading 0: 62%|██████▏ | 180/291 [00:44<00:33, 3.32it/s]
Loading 0: 62%|██████▏ | 181/291 [00:45<00:42, 2.59it/s]
Loading 0: 63%|██████▎ | 184/291 [00:45<00:23, 4.49it/s]
Loading 0: 64%|██████▎ | 185/291 [00:45<00:22, 4.73it/s]
Loading 0: 64%|██████▍ | 186/291 [00:46<00:19, 5.30it/s]
Loading 0: 64%|██████▍ | 187/291 [00:46<00:20, 5.12it/s]
Loading 0: 65%|██████▍ | 188/291 [00:46<00:29, 3.45it/s]
Loading 0: 65%|██████▍ | 189/291 [00:47<00:39, 2.61it/s]
Loading 0: 66%|██████▌ | 192/291 [00:48<00:27, 3.59it/s]
Loading 0: 66%|██████▋ | 193/291 [00:48<00:32, 2.98it/s]
Loading 0: 67%|██████▋ | 194/291 [00:49<00:39, 2.46it/s]
Loading 0: 68%|██████▊ | 197/291 [00:49<00:22, 4.21it/s]
Loading 0: 68%|██████▊ | 198/291 [00:49<00:20, 4.48it/s]
Loading 0: 68%|██████▊ | 199/291 [00:49<00:18, 5.04it/s]
Loading 0: 69%|██████▉ | 201/291 [00:50<00:20, 4.30it/s]
Loading 0: 69%|██████▉ | 202/291 [00:50<00:27, 3.29it/s]
Loading 0: 70%|██████▉ | 203/291 [00:51<00:33, 2.63it/s]
Loading 0: 71%|███████ | 206/291 [00:51<00:19, 4.46it/s]
Loading 0: 71%|███████ | 207/291 [00:51<00:17, 4.70it/s]
Loading 0: 71%|███████▏ | 208/291 [00:51<00:15, 5.26it/s]
Loading 0: 72%|███████▏ | 210/291 [00:52<00:18, 4.43it/s]
Loading 0: 73%|███████▎ | 211/291 [00:53<00:23, 3.34it/s]
Loading 0: 73%|███████▎ | 212/291 [00:53<00:29, 2.66it/s]
Loading 0: 74%|███████▍ | 215/291 [00:53<00:16, 4.57it/s]
Loading 0: 74%|███████▍ | 216/291 [00:54<00:15, 4.89it/s]
Loading 0: 75%|███████▌ | 219/291 [00:54<00:15, 4.76it/s]
Loading 0: 76%|███████▌ | 220/291 [00:55<00:19, 3.70it/s]
Loading 0: 76%|███████▌ | 221/291 [00:55<00:23, 2.95it/s]
Loading 0: 77%|███████▋ | 224/291 [00:56<00:14, 4.77it/s]
Loading 0: 77%|███████▋ | 225/291 [00:56<00:13, 4.99it/s]
Loading 0: 78%|███████▊ | 226/291 [00:56<00:11, 5.56it/s]
Loading 0: 78%|███████▊ | 228/291 [00:56<00:13, 4.60it/s]
Loading 0: 79%|███████▊ | 229/291 [00:57<00:17, 3.49it/s]
Loading 0: 79%|███████▉ | 230/291 [00:58<00:22, 2.76it/s]
Loading 0: 80%|████████ | 233/291 [00:58<00:12, 4.66it/s]
Loading 0: 80%|████████ | 234/291 [00:58<00:11, 4.90it/s]
Loading 0: 81%|████████ | 235/291 [00:58<00:10, 5.50it/s]
Loading 0: 81%|████████▏ | 237/291 [00:59<00:11, 4.58it/s]
Loading 0: 82%|████████▏ | 238/291 [00:59<00:15, 3.45it/s]
Loading 0: 82%|████████▏ | 239/291 [01:00<00:19, 2.72it/s]
Loading 0: 83%|████████▎ | 242/291 [01:00<00:10, 4.67it/s]
Loading 0: 84%|████████▎ | 243/291 [01:00<00:09, 4.92it/s]
Loading 0: 84%|████████▍ | 244/291 [01:00<00:08, 5.48it/s]
Loading 0: 85%|████████▍ | 246/291 [01:01<00:09, 4.57it/s]
Loading 0: 85%|████████▍ | 247/291 [01:01<00:12, 3.45it/s]
Loading 0: 85%|████████▌ | 248/291 [01:02<00:15, 2.69it/s]
Loading 0: 86%|████████▋ | 251/291 [01:02<00:08, 4.58it/s]
Loading 0: 87%|████████▋ | 252/291 [01:02<00:08, 4.81it/s]
Loading 0: 87%|████████▋ | 253/291 [01:02<00:07, 5.32it/s]
Loading 0: 88%|████████▊ | 255/291 [01:03<00:08, 4.49it/s]
Loading 0: 88%|████████▊ | 256/291 [01:04<00:10, 3.41it/s]
Loading 0: 88%|████████▊ | 257/291 [01:04<00:12, 2.67it/s]
Loading 0: 89%|████████▉ | 260/291 [01:04<00:06, 4.56it/s]
Loading 0: 90%|████████▉ | 261/291 [01:05<00:06, 4.81it/s]
Loading 0: 90%|█████████ | 262/291 [01:05<00:05, 5.37it/s]
Loading 0: 91%|█████████ | 264/291 [01:05<00:06, 4.47it/s]
Loading 0: 91%|█████████ | 265/291 [01:06<00:07, 3.37it/s]
Loading 0: 91%|█████████▏| 266/291 [01:06<00:09, 2.62it/s]
Loading 0: 92%|█████████▏| 269/291 [01:07<00:04, 4.52it/s]
Loading 0: 93%|█████████▎| 270/291 [01:07<00:04, 4.75it/s]
Loading 0: 94%|█████████▍| 273/291 [01:07<00:03, 4.61it/s]
Loading 0: 94%|█████████▍| 274/291 [01:08<00:04, 3.54it/s]
Loading 0: 95%|█████████▍| 275/291 [01:09<00:05, 2.81it/s]
Loading 0: 96%|█████████▌| 278/291 [01:09<00:02, 4.55it/s]
Loading 0: 96%|█████████▌| 279/291 [01:09<00:02, 4.76it/s]
Loading 0: 96%|█████████▌| 280/291 [01:09<00:02, 5.29it/s]
Loading 0: 97%|█████████▋| 281/291 [01:10<00:02, 3.58it/s]
Loading 0: 97%|█████████▋| 282/291 [01:10<00:03, 2.66it/s]
Loading 0: 98%|█████████▊| 284/291 [01:11<00:01, 3.75it/s]
Loading 0: 98%|█████████▊| 285/291 [01:11<00:01, 4.10it/s]
Loading 0: 98%|█████████▊| 286/291 [01:11<00:01, 4.75it/s]
Loading 0: 99%|█████████▊| 287/291 [01:11<00:00, 4.90it/s]
Loading 0: 99%|█████████▉| 288/291 [01:12<00:00, 3.25it/s]
Job alexdaoud-trainer-bagir-8911-v2-mkmlizer completed after 146.43s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-8911-v2-mkmlizer
Pipeline stage MKMLizer completed in 146.92s
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-8911-v2
Waiting for inference service alexdaoud-trainer-bagir-8911-v2 to be ready
Inference service alexdaoud-trainer-bagir-8911-v2 ready after 150.59446835517883s
Pipeline stage MKMLDeployer completed in 151.14s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.331843852996826s
Received healthy response to inference request in 3.0347955226898193s
Received healthy response to inference request in 3.6195991039276123s
Received healthy response to inference request in 2.199490547180176s
Received healthy response to inference request in 3.13382625579834s
5 requests
0 failed requests
5th percentile: 2.3665515422821044
10th percentile: 2.533612537384033
20th percentile: 2.8677345275878907
30th percentile: 3.0546016693115234
40th percentile: 3.0942139625549316
50th percentile: 3.13382625579834
60th percentile: 3.2130332946777345
70th percentile: 3.292240333557129
80th percentile: 3.3893949031829833
90th percentile: 3.504497003555298
95th percentile: 3.562048053741455
99th percentile: 3.608088893890381
mean time: 3.0639110565185548
Pipeline stage StressChecker completed in 16.57s
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 0.68s
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 0.61s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_8911_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 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-8911-v2-profiler
Waiting for inference service alexdaoud-trainer-bagir-8911-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 4646.18s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_8911_v2 status is now inactive due to auto deactivation removed underperforming models
alexdaoud-trainer-bagir-_8911_v2 status is now torndown due to DeploymentManager action