alexdaoud-trainer-bagir-_1151

developer_uid: chai_backend_admin
submission_id: alexdaoud-trainer-bagir-_1151_v1
model_name: alexdaoud-trainer-bagir-_1151_v1
model_group: alexdaoud/trainer_bagir_
status: torndown
timestamp: 2024-12-17T11:48:27+00:00
num_battles: 37536
num_wins: 19231
celo_rating: 1270.48
family_friendly_score: 0.5746
family_friendly_standard_error: 0.006991921624274688
submission_type: basic
model_repo: alexdaoud/trainer_bagir_2024-12-11-checkpoint-84
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 256
max_output_tokens: 1
display_name: alexdaoud-trainer-bagir-_1151_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: alexdaoud/trainer_bagir_2024-12-11-checkpoint-84
model_size: 8B
ranking_group: single
us_pacific_date: 2024-12-17
win_ratio: 0.5123348252344416
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-1151-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-1151-v1-mkmlizer to finish
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║     _____            __           __                                ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║       /___/                                                         ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║  https://mk1.ai                                                     ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║  belonging to:                                                      ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║  Chai Research Corp.                                                ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-1151-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-1151-v1-mkmlizer: Downloaded to shared memory in 30.827s
alexdaoud-trainer-bagir-1151-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp4u3lgb1q, device:0
alexdaoud-trainer-bagir-1151-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-1151-v1-mkmlizer: quantized model in 86.283s
alexdaoud-trainer-bagir-1151-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-84 in 117.111s
alexdaoud-trainer-bagir-1151-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-1151-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1151-v1
alexdaoud-trainer-bagir-1151-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1151-v1/config.json
alexdaoud-trainer-bagir-1151-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1151-v1/special_tokens_map.json
alexdaoud-trainer-bagir-1151-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1151-v1/tokenizer_config.json
alexdaoud-trainer-bagir-1151-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1151-v1/tokenizer.json
alexdaoud-trainer-bagir-1151-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-1151-v1/flywheel_model.0.safetensors
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Job alexdaoud-trainer-bagir-1151-v1-mkmlizer completed after 146.18s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-1151-v1-mkmlizer
Pipeline stage MKMLizer completed in 146.65s
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-1151-v1
Waiting for inference service alexdaoud-trainer-bagir-1151-v1 to be ready
Inference service alexdaoud-trainer-bagir-1151-v1 ready after 230.75008845329285s
Pipeline stage MKMLDeployer completed in 231.27s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.944938898086548s
Received healthy response to inference request in 3.7325215339660645s
Received healthy response to inference request in 3.5265932083129883s
Received healthy response to inference request in 3.7317044734954834s
Received healthy response to inference request in 2.409221887588501s
5 requests
0 failed requests
5th percentile: 2.5163652896881104
10th percentile: 2.6235086917877197
20th percentile: 2.8377954959869385
30th percentile: 3.061269760131836
40th percentile: 3.293931484222412
50th percentile: 3.5265932083129883
60th percentile: 3.6086377143859862
70th percentile: 3.690682220458984
80th percentile: 3.7318678855895997
90th percentile: 3.732194709777832
95th percentile: 3.732358121871948
99th percentile: 3.732488851547241
mean time: 3.268996000289917
Pipeline stage StressChecker completed in 18.30s
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 2.22s
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 2.07s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_1151_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 0.11s
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-1151-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-1151-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-1151-v1-profiler ready after 230.53385853767395s
Pipeline stage MKMLProfilerDeployer completed in 230.90s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba846e9d25369330748ca3f9e31d8b520b-deplo9xmn9:/code/chaiverse_profiler_1734436773 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba846e9d25369330748ca3f9e31d8b520b-deplo9xmn9 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734436773 && 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_1734436773/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba846e9d25369330748ca3f9e31d8b520b-deplo9xmn9:/code/chaiverse_profiler_1734439571 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba846e9d25369330748ca3f9e31d8b520b-deplo9xmn9 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734439571 && 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_1734439571/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1151-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-1151-v1-profiler
Service alexdaoud-trainer-bagir-1151-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.51s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1151-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.50s
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-1151-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-1151-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-1151-v1-profiler ready after 140.33396816253662s
Pipeline stage MKMLProfilerDeployer completed in 140.65s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba846e9d25369330748ca3f9e31d8b520b-deplojcsqs:/code/chaiverse_profiler_1734440315 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba846e9d25369330748ca3f9e31d8b520b-deplojcsqs --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734440315 && 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_1734440315/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba846e9d25369330748ca3f9e31d8b520b-deplojcsqs:/code/chaiverse_profiler_1734443124 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba846e9d25369330748ca3f9e31d8b520b-deplojcsqs:/code/chaiverse_profiler_1734443125 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba846e9d25369330748ca3f9e31d8b520b-deplojcsqs --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734443125 && 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_1734443125/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1151-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-1151-v1-profiler
Service alexdaoud-trainer-bagir-1151-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.49s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1151-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.50s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-1151-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-1151-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-1151-v1-profiler ready after 60.150012731552124s
Pipeline stage MKMLProfilerDeployer completed in 60.48s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba846e9d25369330748ca3f9e31d8b520b-deplorg9dw:/code/chaiverse_profiler_1734443862 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba846e9d25369330748ca3f9e31d8b520b-deplorg9dw --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734443862 && 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_1734443862/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba846e9d25369330748ca3f9e31d8b520b-deplorg9dw:/code/chaiverse_profiler_1734446638 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba846e9d25369330748ca3f9e31d8b520b-deplorg9dw:/code/chaiverse_profiler_1734446639 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba846e9d25369330748ca3f9e31d8b520b-deplorg9dw --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734446639 && 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_1734446639/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-1151-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-1151-v1-profiler
Service alexdaoud-trainer-bagir-1151-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.67s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_1151_v1 status is now inactive due to auto deactivation removed underperforming models
alexdaoud-trainer-bagir-_1151_v1 status is now torndown due to DeploymentManager action
alexdaoud-trainer-bagir-_1151_v1 status is now torndown due to DeploymentManager action
alexdaoud-trainer-bagir-_1151_v1 status is now torndown due to DeploymentManager action