submission_id: cgato-thespis-7b-v0-2-sf_7840_v6
developer_uid: zonemercy
status: inactive
model_repo: cgato/Thespis-7b-v0.2-SFTTest-3Epoch
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': 'Role-play as {bot_name} based on the Persona: {memory}. Engage user with detailed, creative messages that invite further discussion. Stay in character, keep responses moderately sized for an energetic exchange.', 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:'}
timestamp: 2024-03-22T06:07:46+00:00
model_name: cgato-thespis-7b-v0-2-sf_7840_v6
model_eval_status: success
safety_score: 0.77
entertaining: 7.04
stay_in_character: 8.65
user_preference: 7.42
double_thumbs_up: 1150
thumbs_up: 1551
thumbs_down: 667
num_battles: 112432
num_wins: 58556
win_ratio: 0.5208125800483848
celo_rating: 1172.56
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer
Waiting for job on cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer to finish
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ║ _____ __ __ ║
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ║ /___/ ║
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ║ ║
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ║ ║
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ║ belonging to: ║
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ║ ║
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ║ Chai Research Corp. ║
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ║ ║
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: Downloaded to shared memory in 26.107s
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: Reading /tmp/tmp9onqa3c1/model.safetensors.index.json
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cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: quantized model in 15.653s
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: Processed model cgato/Thespis-7b-v0.2-SFTTest-3Epoch in 42.685s
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespis-7b-v0-2-sf-7840-v6
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespis-7b-v0-2-sf-7840-v6/config.json
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespis-7b-v0-2-sf-7840-v6/special_tokens_map.json
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespis-7b-v0-2-sf-7840-v6/tokenizer_config.json
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespis-7b-v0-2-sf-7840-v6/mkml_model.tensors
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
cgato-thespis-7b-v0-2-sf-7840-v6-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.
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: warnings.warn(
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cgato-thespis-7b-v0-2-sf-7840-v6-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.
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: warnings.warn(
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cgato-thespis-7b-v0-2-sf-7840-v6-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.
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: warnings.warn(
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<01:57, 12.2MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:57, 24.9MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:01<00:30, 46.0MB/s] pytorch_model.bin: 9%|▊ | 126M/1.44G [00:01<00:07, 170MB/s] pytorch_model.bin: 12%|█▏ | 168M/1.44G [00:01<00:07, 181MB/s] pytorch_model.bin: 17%|█▋ | 241M/1.44G [00:01<00:04, 276MB/s] pytorch_model.bin: 20%|█▉ | 283M/1.44G [00:01<00:03, 303MB/s] pytorch_model.bin: 33%|███▎ | 472M/1.44G [00:01<00:01, 653MB/s] pytorch_model.bin: 82%|████████▏ | 1.18G/1.44G [00:01<00:00, 2.21GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 702MB/s]
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: Saving duration: 0.250s
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 7.546s
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: creating bucket guanaco-reward-models
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespis-7b-v0-2-sf-7840-v6_reward
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespis-7b-v0-2-sf-7840-v6_reward/config.json
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespis-7b-v0-2-sf-7840-v6_reward/special_tokens_map.json
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespis-7b-v0-2-sf-7840-v6_reward/tokenizer_config.json
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespis-7b-v0-2-sf-7840-v6_reward/merges.txt
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespis-7b-v0-2-sf-7840-v6_reward/vocab.json
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespis-7b-v0-2-sf-7840-v6_reward/tokenizer.json
cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespis-7b-v0-2-sf-7840-v6_reward/reward.tensors
Job cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer completed after 75.3s with status: succeeded
Stopping job with name cgato-thespis-7b-v0-2-sf-7840-v6-mkmlizer
Pipeline stage MKMLizer completed in 79.58s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespis-7b-v0-2-sf-7840-v6
Waiting for inference service cgato-thespis-7b-v0-2-sf-7840-v6 to be ready
Inference service cgato-thespis-7b-v0-2-sf-7840-v6 ready after 40.20780277252197s
Pipeline stage ISVCDeployer completed in 47.90s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.6670832633972168s
Received healthy response to inference request in 1.180297613143921s
Received healthy response to inference request in 1.1792290210723877s
Received healthy response to inference request in 1.2207274436950684s
Received healthy response to inference request in 1.2165603637695312s
5 requests
0 failed requests
5th percentile: 1.1794427394866944
10th percentile: 1.179656457901001
20th percentile: 1.1800838947296142
30th percentile: 1.187550163269043
40th percentile: 1.2020552635192872
50th percentile: 1.2165603637695312
60th percentile: 1.2182271957397461
70th percentile: 1.219894027709961
80th percentile: 1.3099986076354981
90th percentile: 1.4885409355163575
95th percentile: 1.577812099456787
99th percentile: 1.6492290306091308
mean time: 1.292779541015625
Pipeline stage StressChecker completed in 7.47s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.06s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.09s
cgato-thespis-7b-v0-2-sf_7840_v6 status is now inactive due to auto deactivation removed underperforming models

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