submission_id: hastagaras-esekembrew-0-3_v2
developer_uid: Hastagaras
best_of: 16
celo_rating: 1189.16
display_name: mwehehe2
family_friendly_score: 0.0
formatter: {'memory_template': "<|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 0.95, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: Hastagaras/Esekembrew-0.3
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: Hastagaras/Esekembrew-0.
model_name: mwehehe2
model_num_parameters: 8030261248.0
model_repo: Hastagaras/Esekembrew-0.3
model_size: 8B
num_battles: 10427
num_wins: 5373
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-05-17T16:53:51+00:00
us_pacific_date: 2024-05-17
win_ratio: 0.5152968255490553
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-esekembrew-0-3-v2-mkmlizer
Waiting for job on hastagaras-esekembrew-0-3-v2-mkmlizer to finish
hastagaras-esekembrew-0-3-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hastagaras-esekembrew-0-3-v2-mkmlizer: ║     _____            __           __                                ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ║       /___/                                                         ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ║                                                                     ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ║  Version: 0.8.14                                                    ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ║  https://mk1.ai                                                     ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ║                                                                     ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ║  belonging to:                                                      ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ║                                                                     ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ║  Chai Research Corp.                                                ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ║                                                                     ║
hastagaras-esekembrew-0-3-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-esekembrew-0-3-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
hastagaras-esekembrew-0-3-v2-mkmlizer:   warnings.warn(warning_message, FutureWarning)
hastagaras-esekembrew-0-3-v2-mkmlizer: Downloaded to shared memory in 14.867s
hastagaras-esekembrew-0-3-v2-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-esekembrew-0-3-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-esekembrew-0-3-v2-mkmlizer: 
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-esekembrew-0-3-v2-mkmlizer: quantized model in 17.464s
hastagaras-esekembrew-0-3-v2-mkmlizer: Processed model Hastagaras/Esekembrew-0.3 in 33.367s
hastagaras-esekembrew-0-3-v2-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-esekembrew-0-3-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-esekembrew-0-3-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-esekembrew-0-3-v2
hastagaras-esekembrew-0-3-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-esekembrew-0-3-v2/flywheel_model.0.safetensors
hastagaras-esekembrew-0-3-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-esekembrew-0-3-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
hastagaras-esekembrew-0-3-v2-mkmlizer:   warnings.warn(
hastagaras-esekembrew-0-3-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
hastagaras-esekembrew-0-3-v2-mkmlizer:   warnings.warn(
hastagaras-esekembrew-0-3-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
hastagaras-esekembrew-0-3-v2-mkmlizer:   warnings.warn(
hastagaras-esekembrew-0-3-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
hastagaras-esekembrew-0-3-v2-mkmlizer:   return self.fget.__get__(instance, owner)()
hastagaras-esekembrew-0-3-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-esekembrew-0-3-v2-mkmlizer: Saving duration: 0.233s
hastagaras-esekembrew-0-3-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.343s
hastagaras-esekembrew-0-3-v2-mkmlizer: creating bucket guanaco-reward-models
hastagaras-esekembrew-0-3-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-esekembrew-0-3-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-esekembrew-0-3-v2_reward
hastagaras-esekembrew-0-3-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-esekembrew-0-3-v2_reward/special_tokens_map.json
hastagaras-esekembrew-0-3-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-esekembrew-0-3-v2_reward/config.json
hastagaras-esekembrew-0-3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-esekembrew-0-3-v2_reward/tokenizer_config.json
hastagaras-esekembrew-0-3-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-esekembrew-0-3-v2_reward/vocab.json
hastagaras-esekembrew-0-3-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-esekembrew-0-3-v2_reward/merges.txt
hastagaras-esekembrew-0-3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-esekembrew-0-3-v2_reward/tokenizer.json
hastagaras-esekembrew-0-3-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-esekembrew-0-3-v2_reward/reward.tensors
Job hastagaras-esekembrew-0-3-v2-mkmlizer completed after 62.96s with status: succeeded
Stopping job with name hastagaras-esekembrew-0-3-v2-mkmlizer
Pipeline stage MKMLizer completed in 66.24s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-esekembrew-0-3-v2
Waiting for inference service hastagaras-esekembrew-0-3-v2 to be ready
Inference service hastagaras-esekembrew-0-3-v2 ready after 30.177199602127075s
Pipeline stage ISVCDeployer completed in 37.24s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.093092918395996s
Received healthy response to inference request in 1.365790605545044s
Received healthy response to inference request in 1.3801977634429932s
Received healthy response to inference request in 1.314634084701538s
Received healthy response to inference request in 1.3690333366394043s
5 requests
0 failed requests
5th percentile: 1.3248653888702393
10th percentile: 1.3350966930389405
20th percentile: 1.3555593013763427
30th percentile: 1.366439151763916
40th percentile: 1.36773624420166
50th percentile: 1.3690333366394043
60th percentile: 1.3734991073608398
70th percentile: 1.3779648780822753
80th percentile: 1.522776794433594
90th percentile: 1.807934856414795
95th percentile: 1.9505138874053953
99th percentile: 2.0645771121978758
mean time: 1.5045497417449951
Pipeline stage StressChecker completed in 8.63s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.05s
M-Eval Dataset for topic stay_in_character is loaded
hastagaras-esekembrew-0-3_v2 status is now deployed due to DeploymentManager action
hastagaras-esekembrew-0-3_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of hastagaras-esekembrew-0-3_v2
Running pipeline stage ISVCDeleter
Checking if service hastagaras-esekembrew-0-3-v2 is running
Tearing down inference service hastagaras-esekembrew-0-3-v2
Toredown service hastagaras-esekembrew-0-3-v2
Pipeline stage ISVCDeleter completed in 4.72s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key hastagaras-esekembrew-0-3-v2/config.json from bucket guanaco-mkml-models
Deleting key hastagaras-esekembrew-0-3-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key hastagaras-esekembrew-0-3-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key hastagaras-esekembrew-0-3-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key hastagaras-esekembrew-0-3-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key hastagaras-esekembrew-0-3-v2_reward/config.json from bucket guanaco-reward-models
Deleting key hastagaras-esekembrew-0-3-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key hastagaras-esekembrew-0-3-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key hastagaras-esekembrew-0-3-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key hastagaras-esekembrew-0-3-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key hastagaras-esekembrew-0-3-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key hastagaras-esekembrew-0-3-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.52s
hastagaras-esekembrew-0-3_v2 status is now torndown due to DeploymentManager action