alexdaoud-trainer-bagir_88058

developer_uid: chai_backend_admin
submission_id: alexdaoud-trainer-bagir_88058_v2
model_name: alexdaoud-trainer-bagir_88058_v2
model_group: alexdaoud/trainer_bagir_
status: torndown
timestamp: 2025-01-19T05:40:05+00:00
num_battles: 10798
num_wins: 5786
celo_rating: 1289.49
family_friendly_score: 0.5744
family_friendly_standard_error: 0.006992347817435857
submission_type: basic
model_repo: alexdaoud/trainer_bagir_2024-12-11-checkpoint-55
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_88058_v2
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: alexdaoud/trainer_bagir_2024-12-11-checkpoint-55
model_size: 8B
ranking_group: single
us_pacific_date: 2025-01-18
win_ratio: 0.5358399703648824
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-88058-v2-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-88058-v2-mkmlizer to finish
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║     _____            __           __                                ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║       /___/                                                         ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║  Version: 0.11.12                                                   ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║  https://mk1.ai                                                     ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║  belonging to:                                                      ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║  Chai Research Corp.                                                ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ║                                                                     ║
alexdaoud-trainer-bagir-88058-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-88058-v2-mkmlizer: Downloaded to shared memory in 32.502s
alexdaoud-trainer-bagir-88058-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpf6wlp2ws, device:0
alexdaoud-trainer-bagir-88058-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexdaoud-trainer-bagir-88058-v2-mkmlizer: quantized model in 84.844s
alexdaoud-trainer-bagir-88058-v2-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-55 in 117.347s
alexdaoud-trainer-bagir-88058-v2-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-88058-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-88058-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-88058-v2
alexdaoud-trainer-bagir-88058-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-88058-v2/config.json
alexdaoud-trainer-bagir-88058-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-88058-v2/special_tokens_map.json
alexdaoud-trainer-bagir-88058-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-88058-v2/tokenizer_config.json
alexdaoud-trainer-bagir-88058-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-88058-v2/tokenizer.json
alexdaoud-trainer-bagir-88058-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-88058-v2/flywheel_model.0.safetensors
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Job alexdaoud-trainer-bagir-88058-v2-mkmlizer completed after 145.32s with status: succeeded
Stopping job with name alexdaoud-trainer-bagir-88058-v2-mkmlizer
Pipeline stage MKMLizer completed in 145.82s
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-88058-v2
Waiting for inference service alexdaoud-trainer-bagir-88058-v2 to be ready
Inference service alexdaoud-trainer-bagir-88058-v2 ready after 120.48530077934265s
Pipeline stage MKMLDeployer completed in 120.98s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.30641508102417s
Received healthy response to inference request in 2.6352832317352295s
Received healthy response to inference request in 4.192279100418091s
Received healthy response to inference request in 2.7227275371551514s
Received healthy response to inference request in 4.490569591522217s
5 requests
0 failed requests
5th percentile: 2.652772092819214
10th percentile: 2.670260953903198
20th percentile: 2.705238676071167
30th percentile: 2.839465045928955
40th percentile: 3.0729400634765627
50th percentile: 3.30641508102417
60th percentile: 3.660760688781738
70th percentile: 4.015106296539306
80th percentile: 4.251937198638916
90th percentile: 4.371253395080567
95th percentile: 4.430911493301392
99th percentile: 4.478637971878052
mean time: 3.4694549083709716
%s, retrying in %s seconds...
Received healthy response to inference request in 2.664919853210449s
Received healthy response to inference request in 3.4993791580200195s
Received healthy response to inference request in 2.245473861694336s
Received healthy response to inference request in 3.048677682876587s
Received healthy response to inference request in 2.6738507747650146s
5 requests
0 failed requests
5th percentile: 2.3293630599975588
10th percentile: 2.413252258300781
20th percentile: 2.5810306549072264
30th percentile: 2.6667060375213625
40th percentile: 2.6702784061431886
50th percentile: 2.6738507747650146
60th percentile: 2.8237815380096434
70th percentile: 2.9737123012542725
80th percentile: 3.1388179779052736
90th percentile: 3.3190985679626466
95th percentile: 3.409238862991333
99th percentile: 3.481351099014282
mean time: 2.826460266113281
Pipeline stage StressChecker completed in 34.17s
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 0.69s
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 0.64s
Shutdown handler de-registered
alexdaoud-trainer-bagir_88058_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 0.12s
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-88058-v2-profiler
Waiting for inference service alexdaoud-trainer-bagir-88058-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3564.14s
Shutdown handler de-registered
alexdaoud-trainer-bagir_88058_v2 status is now inactive due to auto deactivation removed underperforming models
alexdaoud-trainer-bagir_88058_v2 status is now torndown due to DeploymentManager action