submission_id: wespro-frankprn_v1
developer_uid: WesPro
status: torndown
model_repo: WesPro/FrankPrn
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
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': 512, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-04-14T04:52:43+00:00
model_name: wespro-frankprn_v1
model_eval_status: success
model_group: WesPro/FrankPrn
num_battles: 35820
num_wins: 18041
celo_rating: 1151.61
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 10731524096.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: wespro-frankprn_v1
ineligible_reason: propriety_total_count < 800
language_model: WesPro/FrankPrn
model_size: 11B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-13
win_ratio: 0.5036571747627024
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name wespro-frankprn-v1-mkmlizer
Waiting for job on wespro-frankprn-v1-mkmlizer to finish
wespro-frankprn-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
wespro-frankprn-v1-mkmlizer: ║     _____            __           __                                ║
wespro-frankprn-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
wespro-frankprn-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
wespro-frankprn-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
wespro-frankprn-v1-mkmlizer: ║       /___/                                                         ║
wespro-frankprn-v1-mkmlizer: ║                                                                     ║
wespro-frankprn-v1-mkmlizer: ║  Version: 0.6.11                                                    ║
wespro-frankprn-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
wespro-frankprn-v1-mkmlizer: ║                                                                     ║
wespro-frankprn-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
wespro-frankprn-v1-mkmlizer: ║  belonging to:                                                      ║
wespro-frankprn-v1-mkmlizer: ║                                                                     ║
wespro-frankprn-v1-mkmlizer: ║  Chai Research Corp.                                                ║
wespro-frankprn-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
wespro-frankprn-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
wespro-frankprn-v1-mkmlizer: ║                                                                     ║
wespro-frankprn-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
wespro-frankprn-v1-mkmlizer: 
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wespro-frankprn-v1-mkmlizer: Downloaded to shared memory in 47.625s
wespro-frankprn-v1-mkmlizer: quantizing model to /dev/shm/model_cache
wespro-frankprn-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
wespro-frankprn-v1-mkmlizer: Reading /tmp/tmpjb0oeija/model.safetensors.index.json
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wespro-frankprn-v1-mkmlizer: quantized model in 22.034s
wespro-frankprn-v1-mkmlizer: Processed model WesPro/FrankPrn in 70.947s
wespro-frankprn-v1-mkmlizer: creating bucket guanaco-mkml-models
wespro-frankprn-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
wespro-frankprn-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/wespro-frankprn-v1
wespro-frankprn-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/wespro-frankprn-v1/tokenizer_config.json
wespro-frankprn-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/wespro-frankprn-v1/config.json
wespro-frankprn-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/wespro-frankprn-v1/special_tokens_map.json
wespro-frankprn-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/wespro-frankprn-v1/tokenizer.model
wespro-frankprn-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/wespro-frankprn-v1/tokenizer.json
wespro-frankprn-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/wespro-frankprn-v1/mkml_model.tensors
wespro-frankprn-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
wespro-frankprn-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
wespro-frankprn-v1-mkmlizer:   warnings.warn(
wespro-frankprn-v1-mkmlizer: 
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wespro-frankprn-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
wespro-frankprn-v1-mkmlizer:   warnings.warn(
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wespro-frankprn-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
wespro-frankprn-v1-mkmlizer:   warnings.warn(
wespro-frankprn-v1-mkmlizer: 
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wespro-frankprn-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
wespro-frankprn-v1-mkmlizer: Saving duration: 0.264s
wespro-frankprn-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 9.831s
wespro-frankprn-v1-mkmlizer: creating bucket guanaco-reward-models
wespro-frankprn-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
wespro-frankprn-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/wespro-frankprn-v1_reward
wespro-frankprn-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/wespro-frankprn-v1_reward/config.json
wespro-frankprn-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/wespro-frankprn-v1_reward/special_tokens_map.json
wespro-frankprn-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/wespro-frankprn-v1_reward/tokenizer_config.json
wespro-frankprn-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/wespro-frankprn-v1_reward/vocab.json
wespro-frankprn-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/wespro-frankprn-v1_reward/merges.txt
wespro-frankprn-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/wespro-frankprn-v1_reward/tokenizer.json
wespro-frankprn-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/wespro-frankprn-v1_reward/reward.tensors
Job wespro-frankprn-v1-mkmlizer completed after 105.44s with status: succeeded
Stopping job with name wespro-frankprn-v1-mkmlizer
Pipeline stage MKMLizer completed in 108.28s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.15s
Running pipeline stage ISVCDeployer
Creating inference service wespro-frankprn-v1
Waiting for inference service wespro-frankprn-v1 to be ready
Inference service wespro-frankprn-v1 ready after 40.28103756904602s
Pipeline stage ISVCDeployer completed in 47.43s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.457237720489502s
Received healthy response to inference request in 0.7674436569213867s
Received healthy response to inference request in 1.0180354118347168s
Received healthy response to inference request in 1.5159354209899902s
Received healthy response to inference request in 1.5077190399169922s
5 requests
0 failed requests
5th percentile: 0.8175620079040528
10th percentile: 0.8676803588867188
20th percentile: 0.9679170608520508
30th percentile: 1.1058758735656737
40th percentile: 1.2815567970275878
50th percentile: 1.457237720489502
60th percentile: 1.477430248260498
70th percentile: 1.4976227760314942
80th percentile: 1.5093623161315919
90th percentile: 1.512648868560791
95th percentile: 1.5142921447753905
99th percentile: 1.5156067657470702
mean time: 1.2532742500305176
Pipeline stage StressChecker completed in 7.08s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.03s
M-Eval Dataset for topic stay_in_character is loaded
wespro-frankprn_v1 status is now deployed due to DeploymentManager action
wespro-frankprn_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of wespro-frankprn_v1
Running pipeline stage ISVCDeleter
Checking if service wespro-frankprn-v1 is running
Tearing down inference service wespro-frankprn-v1
Toredown service wespro-frankprn-v1
Pipeline stage ISVCDeleter completed in 3.59s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key wespro-frankprn-v1/config.json from bucket guanaco-mkml-models
Deleting key wespro-frankprn-v1/mkml_model.tensors from bucket guanaco-mkml-models
Retrying (%r) after connection broken by '%r': %s
Deleting key wespro-frankprn-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key wespro-frankprn-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key wespro-frankprn-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key wespro-frankprn-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key wespro-frankprn-v1_reward/config.json from bucket guanaco-reward-models
Deleting key wespro-frankprn-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key wespro-frankprn-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key wespro-frankprn-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key wespro-frankprn-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key wespro-frankprn-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key wespro-frankprn-v1_reward/vocab.json from bucket guanaco-reward-models
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Pipeline stage MKMLModelDeleter completed in 2.41s
wespro-frankprn_v1 status is now torndown due to DeploymentManager action

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