alexdaoud-trainer-bagir-_9809

developer_uid: chai_backend_admin
submission_id: alexdaoud-trainer-bagir-_9809_v1
model_name: alexdaoud-trainer-bagir-_9809_v1
model_group: alexdaoud/trainer_bagir_
status: inactive
timestamp: 2024-12-15T16:34:22+00:00
num_battles: 31451
num_wins: 15934
celo_rating: 1267.1
family_friendly_score: 0.581
family_friendly_standard_error: 0.006977664365674233
submission_type: basic
model_repo: alexdaoud/trainer_bagir_2024-12-11-checkpoint-37
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 256
max_output_tokens: 1
display_name: alexdaoud-trainer-bagir-_9809_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: alexdaoud/trainer_bagir_2024-12-11-checkpoint-37
model_size: 8B
ranking_group: single
us_pacific_date: 2024-12-15
win_ratio: 0.5066293599567582
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-9809-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-9809-v1-mkmlizer to finish
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║     _____            __           __                                ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║       /___/                                                         ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║  https://mk1.ai                                                     ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║  belonging to:                                                      ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║  Chai Research Corp.                                                ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-9809-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-9809-v1-mkmlizer: quantized model in 85.338s
alexdaoud-trainer-bagir-9809-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-37 in 117.640s
alexdaoud-trainer-bagir-9809-v1-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-9809-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-9809-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9809-v1
alexdaoud-trainer-bagir-9809-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9809-v1/config.json
alexdaoud-trainer-bagir-9809-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9809-v1/special_tokens_map.json
alexdaoud-trainer-bagir-9809-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9809-v1/tokenizer_config.json
alexdaoud-trainer-bagir-9809-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9809-v1/tokenizer.json
alexdaoud-trainer-bagir-9809-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9809-v1/flywheel_model.0.safetensors
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Job alexdaoud-trainer-bagir-9809-v1-mkmlizer completed after 145.52s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-9809-v1-mkmlizer
Pipeline stage MKMLizer completed in 146.01s
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-9809-v1
Waiting for inference service alexdaoud-trainer-bagir-9809-v1 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
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Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service alexdaoud-trainer-bagir-9809-v1 ready after 210.78907704353333s
Pipeline stage MKMLDeployer completed in 211.93s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.017199754714966s
Received healthy response to inference request in 3.391571283340454s
Received healthy response to inference request in 4.363287448883057s
Received healthy response to inference request in 7.677815914154053s
Received healthy response to inference request in 3.2247135639190674s
5 requests
0 failed requests
5th percentile: 3.058702516555786
10th percentile: 3.1002052783966065
20th percentile: 3.1832108020782472
30th percentile: 3.258085107803345
40th percentile: 3.3248281955718992
50th percentile: 3.391571283340454
60th percentile: 3.780257749557495
70th percentile: 4.168944215774536
80th percentile: 5.026193141937257
90th percentile: 6.352004528045654
95th percentile: 7.014910221099853
99th percentile: 7.5452347755432125
mean time: 4.334917593002319
%s, retrying in %s seconds...
Received healthy response to inference request in 3.3928794860839844s
Received healthy response to inference request in 2.029940366744995s
Received healthy response to inference request in 4.452789783477783s
Received healthy response to inference request in 3.594074249267578s
Received healthy response to inference request in 3.415116548538208s
5 requests
0 failed requests
5th percentile: 2.302528190612793
10th percentile: 2.575116014480591
20th percentile: 3.1202916622161867
30th percentile: 3.3973268985748293
40th percentile: 3.4062217235565186
50th percentile: 3.415116548538208
60th percentile: 3.486699628829956
70th percentile: 3.558282709121704
80th percentile: 3.7658173561096193
90th percentile: 4.109303569793701
95th percentile: 4.281046676635742
99th percentile: 4.418441162109375
mean time: 3.3769600868225096
Pipeline stage StressChecker completed in 41.42s
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 2.21s
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 2.09s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_9809_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 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-9809-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-9809-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-9809-v1-profiler ready after 210.46083617210388s
Pipeline stage MKMLProfilerDeployer completed in 210.80s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba54638636e512ee59d8e985f078659c08-deplo82r77:/code/chaiverse_profiler_1734281109 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba54638636e512ee59d8e985f078659c08-deplo82r77 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734281109 && 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_1734281109/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba54638636e512ee59d8e985f078659c08-deplo82r77:/code/chaiverse_profiler_1734283885 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba54638636e512ee59d8e985f078659c08-deplo82r77:/code/chaiverse_profiler_1734283886 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba54638636e512ee59d8e985f078659c08-deplo82r77 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734283886 && 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_1734283886/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-9809-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-9809-v1-profiler
Service alexdaoud-trainer-bagir-9809-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.16s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-9809-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 2.47s
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-9809-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-9809-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-9809-v1-profiler ready after 110.26503038406372s
Pipeline stage MKMLProfilerDeployer completed in 110.60s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba54638636e512ee59d8e985f078659c08-deploz987x:/code/chaiverse_profiler_1734284641 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba54638636e512ee59d8e985f078659c08-deploz987x --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734284641 && 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_1734284641/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba54638636e512ee59d8e985f078659c08-deploz987x:/code/chaiverse_profiler_1734287434 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba54638636e512ee59d8e985f078659c08-deploz987x:/code/chaiverse_profiler_1734287435 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba54638636e512ee59d8e985f078659c08-deploz987x --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734287435 && 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_1734287435/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-9809-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-9809-v1-profiler
Service alexdaoud-trainer-bagir-9809-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.22s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-9809-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 3.77s
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-9809-v1-profiler
Waiting for inference service alexdaoud-trainer-bagir-9809-v1-profiler to be ready
Inference service alexdaoud-trainer-bagir-9809-v1-profiler ready after 210.46102452278137s
Pipeline stage MKMLProfilerDeployer completed in 210.83s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba54638636e512ee59d8e985f078659c08-deplolrjw7:/code/chaiverse_profiler_1734288369 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba54638636e512ee59d8e985f078659c08-deplolrjw7 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734288369 && 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_1734288369/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba54638636e512ee59d8e985f078659c08-deplolrjw7:/code/chaiverse_profiler_1734291166 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-ba54638636e512ee59d8e985f078659c08-deplolrjw7:/code/chaiverse_profiler_1734291167 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-ba54638636e512ee59d8e985f078659c08-deplolrjw7 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734291167 && 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_1734291167/summary.json'
Received signal 2, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service alexdaoud-trainer-bagir-9809-v1-profiler is running
Tearing down inference service alexdaoud-trainer-bagir-9809-v1-profiler
Service alexdaoud-trainer-bagir-9809-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.44s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_9809_v1 status is now inactive due to auto deactivation removed underperforming models