alexdaoud-trainer-bagir-_8562

submission_id: alexdaoud-trainer-bagir-_8562_v1
developer_uid: chai_backend_admin
status: failed
model_repo: alexdaoud/trainer_bagir_2024-12-11-checkpoint-101
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}
timestamp: 2024-12-19T03:11:37+00:00
model_name: alexdaoud-trainer-bagir-_8562_v1
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-8562-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-8562-v1-mkmlizer to finish
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║     _____            __           __                                ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║       /___/                                                         ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║  https://mk1.ai                                                     ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║  belonging to:                                                      ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║  Chai Research Corp.                                                ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-8562-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-8562-v1-mkmlizer: Downloaded to shared memory in 34.447s
alexdaoud-trainer-bagir-8562-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp2ern5pqx, device:0
alexdaoud-trainer-bagir-8562-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-8562-v1-mkmlizer: quantized model in 85.908s
alexdaoud-trainer-bagir-8562-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-101 in 120.355s
alexdaoud-trainer-bagir-8562-v1-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-8562-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-8562-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-8562-v1
alexdaoud-trainer-bagir-8562-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-8562-v1/special_tokens_map.json
alexdaoud-trainer-bagir-8562-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-8562-v1/config.json
alexdaoud-trainer-bagir-8562-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-8562-v1/tokenizer_config.json
alexdaoud-trainer-bagir-8562-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-8562-v1/tokenizer.json
alexdaoud-trainer-bagir-8562-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-8562-v1/flywheel_model.0.safetensors
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Job alexdaoud-trainer-bagir-8562-v1-mkmlizer completed after 145.19s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-8562-v1-mkmlizer
Pipeline stage MKMLizer completed in 145.68s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service alexdaoud-trainer-bagir-8562-v1
Waiting for inference service alexdaoud-trainer-bagir-8562-v1 to be ready
Inference service alexdaoud-trainer-bagir-8562-v1 ready after 240.84909224510193s
Pipeline stage MKMLDeployer completed in 241.33s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.57135009765625s
Received healthy response to inference request in 3.9325661659240723s
Received healthy response to inference request in 2.8543589115142822s
Received healthy response to inference request in 5.270901918411255s
Received healthy response to inference request in 3.346118450164795s
5 requests
0 failed requests
5th percentile: 2.6279518604278564
10th percentile: 2.684553623199463
20th percentile: 2.797757148742676
30th percentile: 2.952710819244385
40th percentile: 3.14941463470459
50th percentile: 3.346118450164795
60th percentile: 3.580697536468506
70th percentile: 3.815276622772217
80th percentile: 4.200233316421509
90th percentile: 4.735567617416382
95th percentile: 5.003234767913818
99th percentile: 5.2173684883117675
mean time: 3.595059108734131
%s, retrying in %s seconds...
Received healthy response to inference request in 2.9233269691467285s
Received healthy response to inference request in 3.7647340297698975s
Received healthy response to inference request in 3.958747625350952s
Received healthy response to inference request in 3.595627784729004s
Received healthy response to inference request in 2.6502909660339355s
5 requests
0 failed requests
5th percentile: 2.704898166656494
10th percentile: 2.759505367279053
20th percentile: 2.86871976852417
30th percentile: 3.0577871322631838
40th percentile: 3.326707458496094
50th percentile: 3.595627784729004
60th percentile: 3.663270282745361
70th percentile: 3.730912780761719
80th percentile: 3.8035367488861085
90th percentile: 3.88114218711853
95th percentile: 3.919944906234741
99th percentile: 3.95098708152771
mean time: 3.3785454750061037
%s, retrying in %s seconds...
Received healthy response to inference request in 4.064638137817383s
Received healthy response to inference request in 6.378690719604492s
Received healthy response to inference request in 4.094868421554565s
Received healthy response to inference request in 2.7288413047790527s
Received healthy response to inference request in 4.7877538204193115s
5 requests
0 failed requests
5th percentile: 2.9960006713867187
10th percentile: 3.2631600379943846
20th percentile: 3.797478771209717
30th percentile: 4.070684194564819
40th percentile: 4.082776308059692
50th percentile: 4.094868421554565
60th percentile: 4.372022581100464
70th percentile: 4.649176740646362
80th percentile: 5.105941200256348
90th percentile: 5.74231595993042
95th percentile: 6.060503339767456
99th percentile: 6.3150532436370845
mean time: 4.410958480834961
clean up pipeline due to error=DeploymentChecksError('Unacceptable 70th percentile latency 4.649176740646362s')
Shutdown handler de-registered
alexdaoud-trainer-bagir-_8562_v1 status is now failed due to DeploymentManager action