alexdaoud-trainer-bagir_41073

developer_uid: chai_backend_admin
submission_id: alexdaoud-trainer-bagir_41073_v2
model_name: alexdaoud-trainer-bagir_41073_v2
model_group: alexdaoud/trainer_bagir_
status: torndown
timestamp: 2025-01-19T19:38:00+00:00
num_battles: 14938
num_wins: 7977
celo_rating: 1294.08
family_friendly_score: 0.5731999999999999
family_friendly_standard_error: 0.00699488041355962
submission_type: basic
model_repo: alexdaoud/trainer_bagir_2024-12-11-checkpoint-65
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 256
max_output_tokens: 1
reward_model: default
display_name: alexdaoud-trainer-bagir_41073_v2
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: alexdaoud/trainer_bagir_2024-12-11-checkpoint-65
model_size: 8B
ranking_group: single
us_pacific_date: 2025-01-19
win_ratio: 0.5340072298835186
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-41073-v2-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-41073-v2-mkmlizer to finish
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║     _____            __           __                                ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║       /___/                                                         ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║  Version: 0.11.12                                                   ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║  https://mk1.ai                                                     ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║  belonging to:                                                      ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║  Chai Research Corp.                                                ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-41073-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-41073-v2-mkmlizer: Downloaded to shared memory in 33.703s
alexdaoud-trainer-bagir-41073-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmp8zu69wzt, device:0
alexdaoud-trainer-bagir-41073-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-41073-v2-mkmlizer: quantized model in 85.320s
alexdaoud-trainer-bagir-41073-v2-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-65 in 119.023s
alexdaoud-trainer-bagir-41073-v2-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-41073-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-41073-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-41073-v2
alexdaoud-trainer-bagir-41073-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-41073-v2/config.json
alexdaoud-trainer-bagir-41073-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-41073-v2/special_tokens_map.json
alexdaoud-trainer-bagir-41073-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-41073-v2/tokenizer_config.json
alexdaoud-trainer-bagir-41073-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-41073-v2/tokenizer.json
alexdaoud-trainer-bagir-41073-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-41073-v2/flywheel_model.0.safetensors
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Job alexdaoud-trainer-bagir-41073-v2-mkmlizer completed after 145.53s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-41073-v2-mkmlizer
Pipeline stage MKMLizer completed in 145.96s
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-41073-v2
Waiting for inference service alexdaoud-trainer-bagir-41073-v2 to be ready
Inference service alexdaoud-trainer-bagir-41073-v2 ready after 100.36421704292297s
Pipeline stage MKMLDeployer completed in 100.85s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.385651111602783s
Received healthy response to inference request in 2.3108839988708496s
Received healthy response to inference request in 3.861203908920288s
Received healthy response to inference request in 3.5436410903930664s
Received healthy response to inference request in 3.3953027725219727s
5 requests
0 failed requests
5th percentile: 2.5277677536010743
10th percentile: 2.744651508331299
20th percentile: 3.178419017791748
30th percentile: 3.4249704360961912
40th percentile: 3.484305763244629
50th percentile: 3.5436410903930664
60th percentile: 3.670666217803955
70th percentile: 3.7976913452148438
80th percentile: 3.9660933494567874
90th percentile: 4.1758722305297855
95th percentile: 4.280761671066284
99th percentile: 4.364673223495483
mean time: 3.499336576461792
%s, retrying in %s seconds...
Received healthy response to inference request in 2.248945713043213s
Received healthy response to inference request in 2.537102222442627s
Received healthy response to inference request in 2.5175247192382812s
Received healthy response to inference request in 2.2087552547454834s
Received healthy response to inference request in 3.756405830383301s
5 requests
0 failed requests
5th percentile: 2.216793346405029
10th percentile: 2.2248314380645753
20th percentile: 2.240907621383667
30th percentile: 2.3026615142822267
40th percentile: 2.4100931167602537
50th percentile: 2.5175247192382812
60th percentile: 2.5253557205200194
70th percentile: 2.5331867218017576
80th percentile: 2.7809629440307617
90th percentile: 3.2686843872070312
95th percentile: 3.512545108795166
99th percentile: 3.707633686065674
mean time: 2.653746747970581
Pipeline stage StressChecker completed in 33.77s
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 0.76s
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 0.67s
Shutdown handler de-registered
alexdaoud-trainer-bagir_41073_v2 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 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service alexdaoud-trainer-bagir-41073-v2-profiler
Waiting for inference service alexdaoud-trainer-bagir-41073-v2-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 6793.59s
Shutdown handler de-registered
alexdaoud-trainer-bagir_41073_v2 status is now inactive due to auto deactivation removed underperforming models
alexdaoud-trainer-bagir_41073_v2 status is now torndown due to DeploymentManager action