jebcarter-psyonic-cetace_1919

submission_id: jebcarter-psyonic-cetace_1919_v2

developer_uid: greg2rod6

best_of: 4

celo_rating: 1131.01

display_name: jebcarter-psyonic-cetace_1919_v2

family_friendly_score: 0.0

formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}

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}

is_internal_developer: False

language_model: jebcarter/psyonic-cetacean-20B

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: jebcarter/psyonic-cetace

model_name: jebcarter-psyonic-cetace_1919_v2

model_num_parameters: 19994362880.0

model_repo: jebcarter/psyonic-cetacean-20B

model_size: 20B

num_battles: 14471

num_wins: 6341

ranking_group: single

reward_formatter: {'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n'}

reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2

status: torndown

submission_type: basic

timestamp: 2024-06-29T17:59:15+00:00

us_pacific_date: 2024-06-29

win_ratio: 0.4381867182641144

Resubmit model

Running pipeline stage MKMLizer
Starting job with name jebcarter-psyonic-cetace-1919-v2-mkmlizer
Waiting for job on jebcarter-psyonic-cetace-1919-v2-mkmlizer to finish
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║     _____            __           __                                ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║       /___/                                                         ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║                                                                     ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║  Version: 0.8.14                                                    ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║  https://mk1.ai                                                     ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║                                                                     ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║  belonging to:                                                      ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║                                                                     ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║  Chai Research Corp.                                                ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║                                                                     ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jebcarter-psyonic-cetace-1919-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.
jebcarter-psyonic-cetace-1919-v2-mkmlizer:   warnings.warn(warning_message, FutureWarning)
jebcarter-psyonic-cetace-1919-v2-mkmlizer: Downloaded to shared memory in 54.356s
jebcarter-psyonic-cetace-1919-v2-mkmlizer: quantizing model to /dev/shm/model_cache
jebcarter-psyonic-cetace-1919-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jebcarter-psyonic-cetace-1919-v2-mkmlizer: quantized model in 32.968s
jebcarter-psyonic-cetace-1919-v2-mkmlizer: Processed model jebcarter/psyonic-cetacean-20B in 93.721s
jebcarter-psyonic-cetace-1919-v2-mkmlizer: creating bucket guanaco-mkml-models
jebcarter-psyonic-cetace-1919-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jebcarter-psyonic-cetace-1919-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v2
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v2/tokenizer_config.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v2/tokenizer.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v2/tokenizer.model
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v2/config.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v2/special_tokens_map.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v2/flywheel_model.1.safetensors
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v2/flywheel_model.0.safetensors
jebcarter-psyonic-cetace-1919-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
jebcarter-psyonic-cetace-1919-v2-mkmlizer: 
Loading 0:   0%|          | 0/561 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 12/561 [00:00<00:05, 108.24it/s]
Loading 0:   4%|▍         | 23/561 [00:00<00:05, 103.31it/s]
Loading 0:   7%|▋         | 37/561 [00:00<00:04, 118.88it/s]
Loading 0:   9%|▊         | 49/561 [00:00<00:04, 115.59it/s]
Loading 0:  11%|█         | 61/561 [00:00<00:04, 116.82it/s]
Loading 0:  14%|█▎        | 76/561 [00:00<00:03, 125.35it/s]
Loading 0:  16%|█▌        | 89/561 [00:00<00:04, 117.45it/s]
Loading 0:  19%|█▊        | 105/561 [00:00<00:03, 124.18it/s]
Loading 0:  21%|██        | 118/561 [00:00<00:03, 120.71it/s]
Loading 0:  24%|██▎       | 133/561 [00:01<00:03, 126.94it/s]
Loading 0:  26%|██▌       | 146/561 [00:01<00:07, 54.17it/s] 
Loading 0:  28%|██▊       | 158/561 [00:01<00:06, 62.86it/s]
Loading 0:  30%|███       | 170/561 [00:01<00:05, 72.07it/s]
Loading 0:  32%|███▏      | 182/561 [00:02<00:04, 79.77it/s]
Loading 0:  34%|███▍      | 193/561 [00:02<00:04, 83.66it/s]
Loading 0:  37%|███▋      | 206/561 [00:02<00:03, 94.11it/s]
Loading 0:  39%|███▉      | 218/561 [00:02<00:03, 97.93it/s]
Loading 0:  41%|████      | 229/561 [00:02<00:03, 100.92it/s]
Loading 0:  43%|████▎     | 241/561 [00:02<00:03, 105.41it/s]
Loading 0:  45%|████▌     | 254/561 [00:02<00:02, 108.75it/s]
Loading 0:  47%|████▋     | 266/561 [00:02<00:02, 106.53it/s]
Loading 0:  50%|████▉     | 278/561 [00:02<00:02, 109.37it/s]
Loading 0:  52%|█████▏    | 290/561 [00:03<00:05, 50.06it/s] 
Loading 0:  54%|█████▎    | 301/561 [00:03<00:04, 58.17it/s]
Loading 0:  56%|█████▌    | 315/561 [00:03<00:03, 71.93it/s]
Loading 0:  58%|█████▊    | 327/561 [00:03<00:02, 80.48it/s]
Loading 0:  60%|██████    | 338/561 [00:03<00:02, 80.08it/s]
Loading 0:  63%|██████▎   | 351/561 [00:03<00:02, 90.87it/s]
Loading 0:  65%|██████▍   | 363/561 [00:04<00:02, 97.30it/s]
Loading 0:  66%|██████▌   | 369/561 [00:19<00:01, 97.30it/s]
Loading 0:  66%|██████▌   | 370/561 [00:19<01:22,  2.32it/s]
Loading 0:  68%|██████▊   | 382/561 [00:19<00:52,  3.41it/s]
Loading 0:  70%|███████   | 394/561 [00:19<00:33,  4.92it/s]
Loading 0:  72%|███████▏  | 406/561 [00:19<00:22,  7.02it/s]
Loading 0:  75%|███████▍  | 418/561 [00:19<00:14,  9.89it/s]
Loading 0:  77%|███████▋  | 430/561 [00:21<00:16,  7.92it/s]
Loading 0:  79%|███████▊  | 441/561 [00:21<00:11, 10.78it/s]
Loading 0:  81%|████████  | 453/561 [00:21<00:07, 14.95it/s]
Loading 0:  83%|████████▎ | 464/561 [00:21<00:04, 19.88it/s]
Loading 0:  85%|████████▍ | 476/561 [00:22<00:03, 26.70it/s]
Loading 0:  87%|████████▋ | 490/561 [00:22<00:01, 36.31it/s]
Loading 0:  89%|████████▉ | 501/561 [00:22<00:01, 43.88it/s]
Loading 0:  92%|█████████▏| 515/561 [00:22<00:00, 56.58it/s]
Loading 0:  94%|█████████▍| 527/561 [00:22<00:00, 65.81it/s]
Loading 0:  96%|█████████▌| 539/561 [00:22<00:00, 74.46it/s]
Loading 0:  98%|█████████▊| 551/561 [00:22<00:00, 83.02it/s]
                                                            
/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.
jebcarter-psyonic-cetace-1919-v2-mkmlizer:   warnings.warn(
jebcarter-psyonic-cetace-1919-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.
jebcarter-psyonic-cetace-1919-v2-mkmlizer:   warnings.warn(
jebcarter-psyonic-cetace-1919-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.
jebcarter-psyonic-cetace-1919-v2-mkmlizer:   warnings.warn(
jebcarter-psyonic-cetace-1919-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()
jebcarter-psyonic-cetace-1919-v2-mkmlizer:   return self.fget.__get__(instance, owner)()
jebcarter-psyonic-cetace-1919-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jebcarter-psyonic-cetace-1919-v2-mkmlizer: Saving duration: 0.410s
jebcarter-psyonic-cetace-1919-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 9.595s
jebcarter-psyonic-cetace-1919-v2-mkmlizer: creating bucket guanaco-reward-models
jebcarter-psyonic-cetace-1919-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jebcarter-psyonic-cetace-1919-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v2_reward
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v2_reward/special_tokens_map.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v2_reward/tokenizer_config.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v2_reward/config.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v2_reward/merges.txt
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v2_reward/vocab.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v2_reward/tokenizer.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v2_reward/reward.tensors
Job jebcarter-psyonic-cetace-1919-v2-mkmlizer completed after 134.93s with status: succeeded
Stopping job with name jebcarter-psyonic-cetace-1919-v2-mkmlizer
Pipeline stage MKMLizer completed in 135.83s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service jebcarter-psyonic-cetace-1919-v2
Waiting for inference service jebcarter-psyonic-cetace-1919-v2 to be ready
Inference service jebcarter-psyonic-cetace-1919-v2 ready after 50.251585483551025s
Pipeline stage ISVCDeployer completed in 57.31s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.3185458183288574s
Received healthy response to inference request in 2.44380521774292s
Received healthy response to inference request in 2.500077724456787s
Received healthy response to inference request in 2.506676435470581s
Received healthy response to inference request in 2.47641658782959s
5 requests
0 failed requests
5th percentile: 2.450327491760254
10th percentile: 2.456849765777588
20th percentile: 2.4698943138122558
30th percentile: 2.4811488151550294
40th percentile: 2.490613269805908
50th percentile: 2.500077724456787
60th percentile: 2.502717208862305
70th percentile: 2.505356693267822
80th percentile: 2.6690503120422364
90th percentile: 2.9937980651855467
95th percentile: 3.156171941757202
99th percentile: 3.2860710430145263
mean time: 2.649104356765747
Pipeline stage StressChecker completed in 14.00s
jebcarter-psyonic-cetace_1919_v2 status is now deployed due to DeploymentManager action
jebcarter-psyonic-cetace_1919_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of jebcarter-psyonic-cetace_1919_v2
Running pipeline stage ISVCDeleter
Checking if service jebcarter-psyonic-cetace-1919-v2 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.31s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key jebcarter-psyonic-cetace-1919-v2/config.json from bucket guanaco-mkml-models
Deleting key jebcarter-psyonic-cetace-1919-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key jebcarter-psyonic-cetace-1919-v2/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key jebcarter-psyonic-cetace-1919-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key jebcarter-psyonic-cetace-1919-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key jebcarter-psyonic-cetace-1919-v2/tokenizer.model from bucket guanaco-mkml-models
Deleting key jebcarter-psyonic-cetace-1919-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key jebcarter-psyonic-cetace-1919-v2_reward/config.json from bucket guanaco-reward-models
Deleting key jebcarter-psyonic-cetace-1919-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key jebcarter-psyonic-cetace-1919-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key jebcarter-psyonic-cetace-1919-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key jebcarter-psyonic-cetace-1919-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key jebcarter-psyonic-cetace-1919-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key jebcarter-psyonic-cetace-1919-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.77s
jebcarter-psyonic-cetace_1919_v2 status is now torndown due to DeploymentManager action