developer_uid: Hastagaras
submission_id: hastagaras-esekmbrew-0-2_v3
model_name: huehe2
model_group: Hastagaras/esekmbrew-0.2
status: rejected
timestamp: 2024-05-17T13:47:54+00:00
num_battles: 1858
num_wins: 951
celo_rating: 1179.95
family_friendly_score: 0.0
submission_type: basic
model_repo: Hastagaras/esekmbrew-0.2
model_architecture: LlamaForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: huehe2
ineligible_reason: model is not deployable
is_internal_developer: False
language_model: Hastagaras/esekmbrew-0.2
model_size: 8B
ranking_group: single
us_pacific_date: 2024-05-17
win_ratio: 0.5118406889128094
generation_params: {'temperature': 1.1, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 200, 'presence_penalty': 0.0, 'frequency_penalty': 1.05, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, '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: {'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'}
model_eval_status: error
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-esekmbrew-0-2-v3-mkmlizer
Waiting for job on hastagaras-esekmbrew-0-2-v3-mkmlizer to finish
hastagaras-esekmbrew-0-2-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ _____ __ __ ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ /___/ ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ Version: 0.8.14 ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ https://mk1.ai ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ The license key for the current software has been verified as ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ belonging to: ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ Chai Research Corp. ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ║ ║
hastagaras-esekmbrew-0-2-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-esekmbrew-0-2-v3-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-esekmbrew-0-2-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-esekmbrew-0-2-v3-mkmlizer: Downloaded to shared memory in 20.789s
hastagaras-esekmbrew-0-2-v3-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-esekmbrew-0-2-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-esekmbrew-0-2-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 5%|▌ | 15/291 [00:00<00:01, 149.10it/s] Loading 0: 12%|█▏ | 35/291 [00:00<00:01, 178.40it/s] Loading 0: 20%|█▉ | 57/291 [00:00<00:01, 191.42it/s] Loading 0: 26%|██▋ | 77/291 [00:00<00:01, 186.40it/s] Loading 0: 33%|███▎ | 96/291 [00:00<00:02, 87.92it/s] Loading 0: 41%|████ | 120/291 [00:00<00:01, 114.21it/s] Loading 0: 48%|████▊ | 139/291 [00:01<00:01, 129.64it/s] Loading 0: 55%|█████▍ | 159/291 [00:01<00:00, 145.72it/s] Loading 0: 62%|██████▏ | 181/291 [00:01<00:00, 160.43it/s] Loading 0: 69%|██████▊ | 200/291 [00:01<00:00, 93.01it/s] Loading 0: 75%|███████▌ | 219/291 [00:01<00:00, 108.04it/s] Loading 0: 82%|████████▏ | 238/291 [00:01<00:00, 122.03it/s] Loading 0: 88%|████████▊ | 257/291 [00:02<00:00, 134.37it/s] Loading 0: 96%|█████████▌| 280/291 [00:02<00:00, 156.28it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-esekmbrew-0-2-v3-mkmlizer: quantized model in 18.179s
hastagaras-esekmbrew-0-2-v3-mkmlizer: Processed model Hastagaras/esekmbrew-0.2 in 40.098s
hastagaras-esekmbrew-0-2-v3-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-esekmbrew-0-2-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-esekmbrew-0-2-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-esekmbrew-0-2-v3
hastagaras-esekmbrew-0-2-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-esekmbrew-0-2-v3/config.json
hastagaras-esekmbrew-0-2-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-esekmbrew-0-2-v3/tokenizer_config.json
hastagaras-esekmbrew-0-2-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-esekmbrew-0-2-v3/special_tokens_map.json
hastagaras-esekmbrew-0-2-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-esekmbrew-0-2-v3/tokenizer.json
hastagaras-esekmbrew-0-2-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-esekmbrew-0-2-v3/flywheel_model.0.safetensors
hastagaras-esekmbrew-0-2-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-esekmbrew-0-2-v3-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-esekmbrew-0-2-v3-mkmlizer: warnings.warn(
hastagaras-esekmbrew-0-2-v3-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-esekmbrew-0-2-v3-mkmlizer: warnings.warn(
hastagaras-esekmbrew-0-2-v3-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-esekmbrew-0-2-v3-mkmlizer: warnings.warn(
hastagaras-esekmbrew-0-2-v3-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-esekmbrew-0-2-v3-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-esekmbrew-0-2-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-esekmbrew-0-2-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-esekmbrew-0-2-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-esekmbrew-0-2-v3_reward
hastagaras-esekmbrew-0-2-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-esekmbrew-0-2-v3_reward/merges.txt
hastagaras-esekmbrew-0-2-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-esekmbrew-0-2-v3_reward/tokenizer_config.json
hastagaras-esekmbrew-0-2-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-esekmbrew-0-2-v3_reward/config.json
hastagaras-esekmbrew-0-2-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-esekmbrew-0-2-v3_reward/special_tokens_map.json
hastagaras-esekmbrew-0-2-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-esekmbrew-0-2-v3_reward/vocab.json
hastagaras-esekmbrew-0-2-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-esekmbrew-0-2-v3_reward/tokenizer.json
hastagaras-esekmbrew-0-2-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-esekmbrew-0-2-v3_reward/reward.tensors
Job hastagaras-esekmbrew-0-2-v3-mkmlizer completed after 73.25s with status: succeeded
Stopping job with name hastagaras-esekmbrew-0-2-v3-mkmlizer
Pipeline stage MKMLizer completed in 77.67s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-esekmbrew-0-2-v3
Waiting for inference service hastagaras-esekmbrew-0-2-v3 to be ready
Inference service hastagaras-esekmbrew-0-2-v3 ready after 40.24962782859802s
Pipeline stage ISVCDeployer completed in 47.87s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0087532997131348s
Received healthy response to inference request in 1.1794495582580566s
Received healthy response to inference request in 1.247375726699829s
Received healthy response to inference request in 1.1346662044525146s
Received healthy response to inference request in 1.3602595329284668s
5 requests
0 failed requests
5th percentile: 1.143622875213623
10th percentile: 1.1525795459747314
20th percentile: 1.1704928874969482
30th percentile: 1.193034791946411
40th percentile: 1.22020525932312
50th percentile: 1.247375726699829
60th percentile: 1.292529249191284
70th percentile: 1.3376827716827393
80th percentile: 1.4899582862854004
90th percentile: 1.7493557929992676
95th percentile: 1.8790545463562012
99th percentile: 1.982813549041748
mean time: 1.3861008644104005
Pipeline stage StressChecker completed in 7.82s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
Running M-Eval for topic stay_in_character
M-Eval Dataset for topic stay_in_character is loaded
hastagaras-esekmbrew-0-2_v3 status is now deployed due to DeploymentManager action
hastagaras-esekmbrew-0-2_v3 status is now rejected due to a failure to get M-Eval score. Please try again in five minutes.