submission_id: sanjiwatsuki-kunoichi-7b_v4
developer_uid: chai_backend_admin
status: inactive
model_repo: SanjiWatsuki/Kunoichi-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: 2024-04-02T07:30:08+00:00
model_name: auto_submit_ricum_kodejodedu
model_eval_status: success
safety_score: 0.99
entertaining: 6.86
stay_in_character: 8.38
user_preference: 7.54
double_thumbs_up: 47
thumbs_up: 85
thumbs_down: 55
num_battles: 5579
num_wins: 2406
win_ratio: 0.43126008245205233
celo_rating: 1113.13
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sanjiwatsuki-kunoichi-7b-v4-mkmlizer
Waiting for job on sanjiwatsuki-kunoichi-7b-v4-mkmlizer to finish
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ║ _____ __ __ ║
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ║ /___/ ║
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ║ ║
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ║ Version: 0.6.11 ║
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ║ ║
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ║ The license key for the current software has been verified as ║
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ║ belonging to: ║
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ║ ║
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ║ Chai Research Corp. ║
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ║ ║
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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sanjiwatsuki-kunoichi-7b-v4-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:37, 1.37s/it] Profiling: 8%|▊ | 22/291 [00:01<00:13, 20.28it/s] Profiling: 14%|█▍ | 42/291 [00:01<00:06, 41.40it/s] Profiling: 22%|██▏ | 63/291 [00:01<00:03, 65.62it/s] Profiling: 29%|██▉ | 85/291 [00:01<00:02, 91.09it/s] Profiling: 37%|███▋ | 107/291 [00:01<00:01, 116.14it/s] Profiling: 45%|████▍ | 130/291 [00:01<00:01, 138.15it/s] Profiling: 52%|█████▏ | 151/291 [00:02<00:00, 153.81it/s] Profiling: 60%|█████▉ | 174/291 [00:02<00:00, 171.20it/s] Profiling: 67%|██████▋ | 195/291 [00:02<00:00, 177.98it/s] Profiling: 74%|███████▍ | 216/291 [00:03<00:02, 36.00it/s] Profiling: 82%|████████▏ | 238/291 [00:04<00:01, 48.47it/s] Profiling: 89%|████████▊ | 258/291 [00:04<00:00, 61.49it/s] Profiling: 97%|█████████▋| 283/291 [00:04<00:00, 82.35it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 64.30it/s]
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: quantized model in 14.249s
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: Processed model SanjiWatsuki/Kunoichi-7B in 42.023s
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: creating bucket guanaco-mkml-models
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v4
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v4/special_tokens_map.json
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v4/tokenizer_config.json
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v4/tokenizer.model
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v4/config.json
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v4/tokenizer.json
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/sanjiwatsuki-kunoichi-7b-v4/mkml_model.tensors
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
sanjiwatsuki-kunoichi-7b-v4-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.
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: warnings.warn(
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sanjiwatsuki-kunoichi-7b-v4-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.
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: warnings.warn(
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sanjiwatsuki-kunoichi-7b-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: Saving duration: 0.397s
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.971s
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: creating bucket guanaco-reward-models
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v4_reward
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v4_reward/config.json
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v4_reward/tokenizer_config.json
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v4_reward/vocab.json
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v4_reward/special_tokens_map.json
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v4_reward/tokenizer.json
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v4_reward/merges.txt
sanjiwatsuki-kunoichi-7b-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sanjiwatsuki-kunoichi-7b-v4_reward/reward.tensors
Job sanjiwatsuki-kunoichi-7b-v4-mkmlizer completed after 74.51s with status: succeeded
Stopping job with name sanjiwatsuki-kunoichi-7b-v4-mkmlizer
Pipeline stage MKMLizer completed in 77.15s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service sanjiwatsuki-kunoichi-7b-v4
Waiting for inference service sanjiwatsuki-kunoichi-7b-v4 to be ready
Failed to get response for submission anhnv125-llama-op-v17-1_v34: ('http://anhnv125-llama-op-v17-1-v34-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:44714->127.0.0.1:8080: read: connection reset by peer\n')
Inference service sanjiwatsuki-kunoichi-7b-v4 ready after 40.304381132125854s
Pipeline stage ISVCDeployer completed in 47.11s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.312971830368042s
Received healthy response to inference request in 0.5256476402282715s
Received healthy response to inference request in 0.6616382598876953s
Received healthy response to inference request in 0.6465091705322266s
Received healthy response to inference request in 0.7011072635650635s
5 requests
0 failed requests
5th percentile: 0.5498199462890625
10th percentile: 0.5739922523498535
20th percentile: 0.6223368644714355
30th percentile: 0.6495349884033204
40th percentile: 0.6555866241455078
50th percentile: 0.6616382598876953
60th percentile: 0.6774258613586426
70th percentile: 0.6932134628295898
80th percentile: 0.8234801769256593
90th percentile: 1.0682260036468507
95th percentile: 1.1905989170074462
99th percentile: 1.2884972476959229
mean time: 0.7695748329162597
Pipeline stage StressChecker completed in 4.66s
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
sanjiwatsuki-kunoichi-7b_v4 status is now deployed due to DeploymentManager action
sanjiwatsuki-kunoichi-7b_v4 status is now inactive due to auto deactivation removed underperforming models

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