developer_uid: chai_backend_admin
submission_id: alexdaoud-trainer-bagir-_9705_v1
model_name: alexdaoud-trainer-bagir-_9705_v1
model_group: alexdaoud/trainer_bagir_
status: inactive
timestamp: 2024-12-16T01:51:35+00:00
num_battles: 30188
num_wins: 15182
celo_rating: 1263.82
family_friendly_score: 0.5788
family_friendly_standard_error: 0.006982700910106346
submission_type: basic
model_repo: alexdaoud/trainer_bagir_2024-12-11-checkpoint-48
model_architecture: LlamaForSequenceClassification
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 256
max_output_tokens: 1
display_name: alexdaoud-trainer-bagir-_9705_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: alexdaoud/trainer_bagir_2024-12-11-checkpoint-48
model_size: 8B
ranking_group: single
us_pacific_date: 2024-12-15
win_ratio: 0.5029150655889758
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
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Running pipeline stage MKMLizer
Starting job with name alexdaoud-trainer-bagir-9705-v1-mkmlizer
Waiting for job on alexdaoud-trainer-bagir-9705-v1-mkmlizer to finish
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ _____ __ __ ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ /___/ ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ Version: 0.11.12 ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ https://mk1.ai ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ The license key for the current software has been verified as ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ belonging to: ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ Chai Research Corp. ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ║ ║
alexdaoud-trainer-bagir-9705-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexdaoud-trainer-bagir-9705-v1-mkmlizer: Downloaded to shared memory in 34.831s
alexdaoud-trainer-bagir-9705-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:t0, folder:/tmp/tmpit9p55by, device:0
alexdaoud-trainer-bagir-9705-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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alexdaoud-trainer-bagir-9705-v1-mkmlizer: quantized model in 85.485s
alexdaoud-trainer-bagir-9705-v1-mkmlizer: Processed model alexdaoud/trainer_bagir_2024-12-11-checkpoint-48 in 120.317s
alexdaoud-trainer-bagir-9705-v1-mkmlizer: creating bucket guanaco-mkml-models
alexdaoud-trainer-bagir-9705-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexdaoud-trainer-bagir-9705-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9705-v1
alexdaoud-trainer-bagir-9705-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9705-v1/config.json
alexdaoud-trainer-bagir-9705-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9705-v1/special_tokens_map.json
alexdaoud-trainer-bagir-9705-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9705-v1/tokenizer_config.json
alexdaoud-trainer-bagir-9705-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9705-v1/tokenizer.json
alexdaoud-trainer-bagir-9705-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexdaoud-trainer-bagir-9705-v1/flywheel_model.0.safetensors
Job alexdaoud-trainer-bagir-9705-v1-mkmlizer completed after 145.94s with status: succeeded
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Inference service alexdaoud-trainer-bagir-9705-v1 ready after 211.22318863868713s
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Received healthy response to inference request in 4.361868143081665s
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5th percentile: 2.3106148719787596
10th percentile: 2.312528467178345
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50th percentile: 2.88665771484375
60th percentile: 2.9957510948181154
70th percentile: 3.1048444747924804
80th percentile: 3.3998865604400637
90th percentile: 3.8808773517608643
95th percentile: 4.1213727474212645
99th percentile: 4.313769063949585
mean time: 3.0069775104522707
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-bae60edc821ce1384d907d0d53386f7ff9-deplo6kncj:/code/chaiverse_profiler_1734317988 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-bae60edc821ce1384d907d0d53386f7ff9-deplo6kncj --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734317988 && 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_1734317988/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-bae60edc821ce1384d907d0d53386f7ff9-deplo6kncj:/code/chaiverse_profiler_1734320786 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-bae60edc821ce1384d907d0d53386f7ff9-deplo6kncj:/code/chaiverse_profiler_1734320787 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-bae60edc821ce1384d907d0d53386f7ff9-deplo6kncj --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734320787 && 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_1734320787/summary.json'
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Inference service alexdaoud-trainer-bagir-9705-v1-profiler ready after 80.1939926147461s
Pipeline stage MKMLProfilerDeployer completed in 80.51s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-bae60edc821ce1384d907d0d53386f7ff9-deplorw9gb:/code/chaiverse_profiler_1734321643 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-bae60edc821ce1384d907d0d53386f7ff9-deplorw9gb --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734321643 && 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_1734321643/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-bae60edc821ce1384d907d0d53386f7ff9-deplorw9gb:/code/chaiverse_profiler_1734324441 --namespace tenant-chaiml-guanaco
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/alexdaoud-trainer-bae60edc821ce1384d907d0d53386f7ff9-deplorw9gb:/code/chaiverse_profiler_1734324442 --namespace tenant-chaiml-guanaco
kubectl exec -it alexdaoud-trainer-bae60edc821ce1384d907d0d53386f7ff9-deplorw9gb --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1734324442 && 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_1734324442/summary.json'
Received signal 2, running shutdown handler
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Checking if service alexdaoud-trainer-bagir-9705-v1-profiler is running
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Pipeline stage MKMLProfilerDeleter completed in 2.33s
Shutdown handler de-registered
alexdaoud-trainer-bagir-_9705_v1 status is now inactive due to auto deactivation removed underperforming models