submission_id: inv-exponenta-alpha-7b_v9
developer_uid: chai_backend_admin
status: inactive
model_repo: Inv/Exponenta-Alpha-7B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'top_k': 50, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 1, '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}:'}
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}:'}
timestamp: 2024-04-02T03:47:08+00:00
model_name: auto_submit_mudum_pidijemo
model_eval_status: pending
safety_score: 0.98
entertaining: None
stay_in_character: None
user_preference: None
double_thumbs_up: 60
thumbs_up: 77
thumbs_down: 65
num_battles: 5281
num_wins: 2261
win_ratio: 0.4281386101117213
celo_rating: 1112.17
Resubmit model
Running pipeline stage MKMLizer
Starting job with name inv-exponenta-alpha-7b-v9-mkmlizer
Waiting for job on inv-exponenta-alpha-7b-v9-mkmlizer to finish
inv-exponenta-alpha-7b-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
inv-exponenta-alpha-7b-v9-mkmlizer: ║ _____ __ __ ║
inv-exponenta-alpha-7b-v9-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
inv-exponenta-alpha-7b-v9-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
inv-exponenta-alpha-7b-v9-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
inv-exponenta-alpha-7b-v9-mkmlizer: ║ /___/ ║
inv-exponenta-alpha-7b-v9-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v9-mkmlizer: ║ Version: 0.6.11 ║
inv-exponenta-alpha-7b-v9-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
inv-exponenta-alpha-7b-v9-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v9-mkmlizer: ║ The license key for the current software has been verified as ║
inv-exponenta-alpha-7b-v9-mkmlizer: ║ belonging to: ║
inv-exponenta-alpha-7b-v9-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v9-mkmlizer: ║ Chai Research Corp. ║
inv-exponenta-alpha-7b-v9-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
inv-exponenta-alpha-7b-v9-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
inv-exponenta-alpha-7b-v9-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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inv-exponenta-alpha-7b-v9-mkmlizer: Downloaded to shared memory in 27.276s
inv-exponenta-alpha-7b-v9-mkmlizer: quantizing model to /dev/shm/model_cache
inv-exponenta-alpha-7b-v9-mkmlizer: Saving mkml model at /dev/shm/model_cache
inv-exponenta-alpha-7b-v9-mkmlizer: Reading /tmp/tmpe5qxg46c/model.safetensors.index.json
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inv-exponenta-alpha-7b-v9-mkmlizer: quantized model in 14.309s
inv-exponenta-alpha-7b-v9-mkmlizer: Processed model Inv/Exponenta-Alpha-7B in 42.387s
inv-exponenta-alpha-7b-v9-mkmlizer: creating bucket guanaco-mkml-models
inv-exponenta-alpha-7b-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
inv-exponenta-alpha-7b-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v9
inv-exponenta-alpha-7b-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v9/config.json
inv-exponenta-alpha-7b-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v9/tokenizer_config.json
inv-exponenta-alpha-7b-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v9/special_tokens_map.json
inv-exponenta-alpha-7b-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v9/tokenizer.model
inv-exponenta-alpha-7b-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v9/tokenizer.json
inv-exponenta-alpha-7b-v9-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v9/mkml_model.tensors
inv-exponenta-alpha-7b-v9-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
inv-exponenta-alpha-7b-v9-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.
inv-exponenta-alpha-7b-v9-mkmlizer: warnings.warn(
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inv-exponenta-alpha-7b-v9-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.
inv-exponenta-alpha-7b-v9-mkmlizer: warnings.warn(
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inv-exponenta-alpha-7b-v9-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.
inv-exponenta-alpha-7b-v9-mkmlizer: warnings.warn(
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inv-exponenta-alpha-7b-v9-mkmlizer: creating bucket guanaco-reward-models
inv-exponenta-alpha-7b-v9-mkmlizer: Bucket 's3://guanaco-reward-models/' created
inv-exponenta-alpha-7b-v9-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/inv-exponenta-alpha-7b-v9_reward
inv-exponenta-alpha-7b-v9-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v9_reward/config.json
inv-exponenta-alpha-7b-v9-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v9_reward/special_tokens_map.json
inv-exponenta-alpha-7b-v9-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v9_reward/vocab.json
inv-exponenta-alpha-7b-v9-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/inv-exponenta-alpha-7b-v9_reward/merges.txt
inv-exponenta-alpha-7b-v9-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v9_reward/tokenizer_config.json
inv-exponenta-alpha-7b-v9-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v9_reward/tokenizer.json
inv-exponenta-alpha-7b-v9-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/inv-exponenta-alpha-7b-v9_reward/reward.tensors
Job inv-exponenta-alpha-7b-v9-mkmlizer completed after 74.65s with status: succeeded
Stopping job with name inv-exponenta-alpha-7b-v9-mkmlizer
Pipeline stage MKMLizer completed in 77.80s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service inv-exponenta-alpha-7b-v9
Waiting for inference service inv-exponenta-alpha-7b-v9 to be ready
Inference service inv-exponenta-alpha-7b-v9 ready after 80.47350072860718s
Pipeline stage ISVCDeployer completed in 87.53s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.0318670272827148s
Received healthy response to inference request in 0.5981788635253906s
Received healthy response to inference request in 0.678072452545166s
Received healthy response to inference request in 2.5275347232818604s
Received healthy response to inference request in 0.9859104156494141s
5 requests
0 failed requests
5th percentile: 0.6141575813293457
10th percentile: 0.6301362991333008
20th percentile: 0.6620937347412109
30th percentile: 0.7396400451660157
40th percentile: 0.8627752304077149
50th percentile: 0.9859104156494141
60th percentile: 1.0042930603027345
70th percentile: 1.0226757049560546
80th percentile: 1.3310005664825442
90th percentile: 1.9292676448822021
95th percentile: 2.228401184082031
99th percentile: 2.4677080154418944
mean time: 1.1643126964569093
Pipeline stage StressChecker completed in 7.89s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
inv-exponenta-alpha-7b_v9 status is now deployed due to DeploymentManager action
inv-exponenta-alpha-7b_v9 status is now inactive due to auto deactivation removed underperforming models

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