alexdaoud-trainer-bagir-_1810

developer_uid: chai_backend_admin
submission_id: alexdaoud-trainer-bagir-_1810_v1
model_name: alexdaoud-trainer-bagir-_1810_v1
model_group: alexdaoud/trainer_bagir_
status: inactive
timestamp: 2024-12-15T19:36:46+00:00
num_battles: 29276
num_wins: 14836
celo_rating: 1267.18
family_friendly_score: 0.5804
family_friendly_standard_error: 0.006979052084631551
submission_type: basic
model_repo: alexdaoud/trainer_bagir_2024-12-11-checkpoint-41
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 256
max_output_tokens: 1
display_name: alexdaoud-trainer-bagir-_1810_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: alexdaoud/trainer_bagir_2024-12-11-checkpoint-41
model_size: 8B
ranking_group: single
us_pacific_date: 2024-12-15
win_ratio: 0.5067632190189917
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-1810-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-1810-v1-mkmlizer to finish
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║     _____            __           __                                ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║       /___/                                                         ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║  https://mk1.ai                                                     ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║  belonging to:                                                      ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║  Chai Research Corp.                                                ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-1810-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-1810-v1-mkmlizer: Downloaded to shared memory in 32.404s
alexdaoud-trainer-bagir-1810-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp0v7ypy7q, device:0
alexdaoud-trainer-bagir-1810-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-1810-v1-mkmlizer: quantized model in 85.838s
alexdaoud-trainer-bagir-1810-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-41 in 118.243s
alexdaoud-trainer-bagir-1810-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-1810-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1810-v1
alexdaoud-trainer-bagir-1810-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1810-v1/config.json
alexdaoud-trainer-bagir-1810-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1810-v1/special_tokens_map.json
alexdaoud-trainer-bagir-1810-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1810-v1/tokenizer_config.json
alexdaoud-trainer-bagir-1810-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1810-v1/tokenizer.json
alexdaoud-trainer-bagir-1810-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1810-v1/flywheel_model.0.safetensors
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Job alexdaoud-trainer-bagir-1810-v1-mkmlizer completed after 146.38s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-1810-v1-mkmlizer
Pipeline stage MKMLizer completed in 146.89s
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-1810-v1
Waiting for inference service alexdaoud-trainer-bagir-1810-v1 to be ready
Inference service alexdaoud-trainer-bagir-1810-v1 ready after 210.73933601379395s
Pipeline stage MKMLDeployer completed in 211.34s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.992387056350708s
Received healthy response to inference request in 3.8006227016448975s
Received healthy response to inference request in 2.5641067028045654s
Received healthy response to inference request in 5.804967164993286s
Received healthy response to inference request in 5.236419200897217s
5 requests
0 failed requests
5th percentile: 2.649762773513794
10th percentile: 2.7354188442230223
20th percentile: 2.9067309856414796
30th percentile: 3.1540341854095457
40th percentile: 3.4773284435272216
50th percentile: 3.8006227016448975
60th percentile: 4.374941301345825
70th percentile: 4.949259901046752
80th percentile: 5.350128793716431
90th percentile: 5.577547979354859
95th percentile: 5.691257572174072
99th percentile: 5.7822252464294435
mean time: 4.079700565338134
%s, retrying in %s seconds...
Received healthy response to inference request in 2.8560280799865723s
Received healthy response to inference request in 2.6102731227874756s
Received healthy response to inference request in 6.281554222106934s
Received healthy response to inference request in 3.3330166339874268s
Received healthy response to inference request in 2.602933883666992s
5 requests
0 failed requests
5th percentile: 2.604401731491089
10th percentile: 2.6058695793151854
20th percentile: 2.608805274963379
30th percentile: 2.6594241142272947
40th percentile: 2.7577260971069335
50th percentile: 2.8560280799865723
60th percentile: 3.046823501586914
70th percentile: 3.237618923187256
80th percentile: 3.9227241516113285
90th percentile: 5.102139186859131
95th percentile: 5.691846704483032
99th percentile: 6.163612718582153
mean time: 3.53676118850708
Pipeline stage StressChecker completed in 40.70s
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 2.17s
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 2.08s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_1810_v1 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 0.12s
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-1810-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-1810-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-1810-v1-profiler ready after 210.47245407104492s
Pipeline stage MKMLProfilerDeployer completed in 210.82s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba74730c16311fbc4f1346cea2ec9e7fc0-deplorfn4x:/code/chaiverse_profiler_1734292048 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba74730c16311fbc4f1346cea2ec9e7fc0-deplorfn4x --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734292048 && 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_1734292048/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba74730c16311fbc4f1346cea2ec9e7fc0-deplorfn4x:/code/chaiverse_profiler_1734294849 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba74730c16311fbc4f1346cea2ec9e7fc0-deplorfn4x:/code/chaiverse_profiler_1734294850 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba74730c16311fbc4f1346cea2ec9e7fc0-deplorfn4x --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734294850 && 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_1734294850/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1810-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-1810-v1-profiler
Service alexdaoud-trainer-bagir-1810-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-1810-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.37s
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-1810-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-1810-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-1810-v1-profiler ready after 110.25818490982056s
Pipeline stage MKMLProfilerDeployer completed in 110.56s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba74730c16311fbc4f1346cea2ec9e7fc0-deplo54v7w:/code/chaiverse_profiler_1734295570 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba74730c16311fbc4f1346cea2ec9e7fc0-deplo54v7w --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734295570 && 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_1734295570/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba74730c16311fbc4f1346cea2ec9e7fc0-deplo54v7w:/code/chaiverse_profiler_1734298405 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba74730c16311fbc4f1346cea2ec9e7fc0-deplo54v7w --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734298405 && 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_1734298405/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1810-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-1810-v1-profiler
Service alexdaoud-trainer-bagir-1810-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.20s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1810-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.23s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-1810-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-1810-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-1810-v1-profiler ready after 170.37570714950562s
Pipeline stage MKMLProfilerDeployer completed in 170.70s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba74730c16311fbc4f1346cea2ec9e7fc0-deplonpqgk:/code/chaiverse_profiler_1734299256 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba74730c16311fbc4f1346cea2ec9e7fc0-deplonpqgk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734299256 && 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_1734299256/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba74730c16311fbc4f1346cea2ec9e7fc0-deplonpqgk:/code/chaiverse_profiler_1734302011 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba74730c16311fbc4f1346cea2ec9e7fc0-deplonpqgk:/code/chaiverse_profiler_1734302012 --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-1810-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-1810-v1-profiler
Service alexdaoud-trainer-bagir-1810-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.24s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_1810_v1 status is now inactive due to auto deactivation removed underperforming models