developer_uid: chai_backend_admin
submission_id: alexdaoud-trainer-bagir-_7266_v1
model_name: alexdaoud-trainer-bagir-_7266_v1
model_group: alexdaoud/trainer_bagir_
status: inactive
timestamp: 2024-12-13T01:58:57+00:00
num_battles: 22394
num_wins: 11443
celo_rating: 1269.95
family_friendly_score: 0.5804
family_friendly_standard_error: 0.006979052084631551
submission_type: basic
model_repo: alexdaoud/trainer_bagir_2024-12-11-checkpoint-25
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 256
max_output_tokens: 1
display_name: alexdaoud-trainer-bagir-_7266_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: alexdaoud/trainer_bagir_2024-12-11-checkpoint-25
model_size: 8B
ranking_group: single
us_pacific_date: 2024-12-12
win_ratio: 0.5109850852907029
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-7266-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-7266-v1-mkmlizer to finish
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║     _____            __           __                                ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║       /___/                                                         ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║  https://mk1.ai                                                     ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║  belonging to:                                                      ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║  Chai Research Corp.                                                ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-7266-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-7266-v1-mkmlizer: Downloaded to shared memory in 44.816s
alexdaoud-trainer-bagir-7266-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp57p0t6pd, device:0
alexdaoud-trainer-bagir-7266-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-7266-v1-mkmlizer: quantized model in 85.784s
alexdaoud-trainer-bagir-7266-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-25 in 130.601s
alexdaoud-trainer-bagir-7266-v1-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-7266-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-7266-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-7266-v1
alexdaoud-trainer-bagir-7266-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-7266-v1/config.json
alexdaoud-trainer-bagir-7266-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-7266-v1/special_tokens_map.json
alexdaoud-trainer-bagir-7266-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-7266-v1/tokenizer_config.json
alexdaoud-trainer-bagir-7266-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-7266-v1/tokenizer.json
alexdaoud-trainer-bagir-7266-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-7266-v1/flywheel_model.0.safetensors
alexdaoud-trainer-bagir-7266-v1-mkmlizer: 
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Job alexdaoud-trainer-bagir-7266-v1-mkmlizer completed after 156.87s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-7266-v1-mkmlizer
Pipeline stage MKMLizer completed in 157.41s
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-7266-v1
Waiting for inference service alexdaoud-trainer-bagir-7266-v1 to be ready
Inference service alexdaoud-trainer-bagir-7266-v1 ready after 200.70743489265442s
Pipeline stage MKMLDeployer completed in 201.26s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 5.60589861869812s
Received healthy response to inference request in 3.406777858734131s
Received healthy response to inference request in 3.517615795135498s
Received healthy response to inference request in 2.938725233078003s
Received healthy response to inference request in 2.748410940170288s
5 requests
0 failed requests
5th percentile: 2.786473798751831
10th percentile: 2.824536657333374
20th percentile: 2.90066237449646
30th percentile: 3.0323357582092285
40th percentile: 3.2195568084716797
50th percentile: 3.406777858734131
60th percentile: 3.4511130332946776
70th percentile: 3.4954482078552247
80th percentile: 3.935272359848023
90th percentile: 4.7705854892730715
95th percentile: 5.188242053985595
99th percentile: 5.5223673057556155
mean time: 3.643485689163208
Pipeline stage StressChecker completed in 19.72s
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 2.28s
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 1.95s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_7266_v1 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
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 0.12s
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-7266-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-7266-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-7266-v1-profiler ready after 200.4584641456604s
Pipeline stage MKMLProfilerDeployer completed in 200.81s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba5087f75b01087179b10a5c810d82d673-deploxvcxd:/code/chaiverse_profiler_1734055759 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba5087f75b01087179b10a5c810d82d673-deploxvcxd --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734055759 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1734055759/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba5087f75b01087179b10a5c810d82d673-deploxvcxd:/code/chaiverse_profiler_1734058527 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba5087f75b01087179b10a5c810d82d673-deploxvcxd:/code/chaiverse_profiler_1734058528 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba5087f75b01087179b10a5c810d82d673-deploxvcxd --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734058528 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1734058528/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-7266-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-7266-v1-profiler
Service alexdaoud-trainer-bagir-7266-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.15s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-7266-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.36s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-7266-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-7266-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-7266-v1-profiler ready after 120.35899829864502s
Pipeline stage MKMLProfilerDeployer completed in 120.68s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba5087f75b01087179b10a5c810d82d673-deplomc2zf:/code/chaiverse_profiler_1734059315 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba5087f75b01087179b10a5c810d82d673-deplomc2zf --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734059315 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1734059315/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba5087f75b01087179b10a5c810d82d673-deplomc2zf:/code/chaiverse_profiler_1734062108 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba5087f75b01087179b10a5c810d82d673-deplomc2zf:/code/chaiverse_profiler_1734062108 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba5087f75b01087179b10a5c810d82d673-deplomc2zf --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734062108 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1734062108/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-7266-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-7266-v1-profiler
Service alexdaoud-trainer-bagir-7266-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.25s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-7266-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.30s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-7266-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-7266-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-7266-v1-profiler ready after 40.11313080787659s
Pipeline stage MKMLProfilerDeployer completed in 40.48s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba5087f75b01087179b10a5c810d82d673-deplocjpkq:/code/chaiverse_profiler_1734062859 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba5087f75b01087179b10a5c810d82d673-deplocjpkq --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734062859 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 256 --output_tokens 1 --summary /code/chaiverse_profiler_1734062859/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba5087f75b01087179b10a5c810d82d673-deplocjpkq:/code/chaiverse_profiler_1734065657 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba5087f75b01087179b10a5c810d82d673-deplocjpkq:/code/chaiverse_profiler_1734065658 --namespace tenant-chaiml-guanaco
clean up pipeline due to error=ISVCScriptError('Command failed with error: Defaulted container "kserve-container" out of: kserve-container, queue-proxy\nerror: unable to upgrade connection: container not found ("kserve-container")\n, output: ')
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-7266-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-7266-v1-profiler
Service alexdaoud-trainer-bagir-7266-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.08s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_7266_v1 status is now inactive due to auto deactivation removed underperforming models