submission_id: cgato-thespice-7b-ft-ins_5091_v2
developer_uid: c.gato
status: inactive
model_repo: cgato/TheSpice-7b-FT-InstructExperiment-Overtrain
reward_repo: ChaiML/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'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n{bot_name} only uses lowercase letters.\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{bot_name} only uses lowercase letters.\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: 2024-03-29T01:46:07+00:00
model_name: cgato-thespice-7b-ft-ins_5091_v2
model_eval_status: success
safety_score: 0.79
entertaining: 6.7
stay_in_character: 8.46
user_preference: 7.2
double_thumbs_up: 238
thumbs_up: 320
thumbs_down: 160
num_battles: 47957
num_wins: 24990
win_ratio: 0.5210918114143921
celo_rating: 1171.89
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-ft-ins-5091-v2-mkmlizer
Waiting for job on cgato-thespice-7b-ft-ins-5091-v2-mkmlizer to finish
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ║ /___/ ║
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ║ ║
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ║ ║
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ║ ║
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ║ ║
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: Downloaded to shared memory in 10.569s
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: Reading /tmp/tmphmwmr0m6/model.safetensors.index.json
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<07:05, 1.47s/it] Profiling: 6%|▌ | 17/291 [00:01<00:18, 14.79it/s] Profiling: 12%|█▏ | 36/291 [00:01<00:07, 34.44it/s] Profiling: 19%|█▉ | 55/291 [00:01<00:04, 55.49it/s] Profiling: 25%|██▌ | 74/291 [00:01<00:02, 77.28it/s] Profiling: 33%|███▎ | 96/291 [00:01<00:01, 104.17it/s] Profiling: 40%|███▉ | 115/291 [00:02<00:02, 80.18it/s] Profiling: 47%|████▋ | 136/291 [00:02<00:01, 101.59it/s] Profiling: 54%|█████▎ | 156/291 [00:02<00:01, 120.23it/s] Profiling: 60%|██████ | 175/291 [00:02<00:00, 134.69it/s] Profiling: 67%|██████▋ | 195/291 [00:02<00:00, 149.67it/s] Profiling: 74%|███████▎ | 214/291 [00:04<00:02, 34.38it/s] Profiling: 80%|████████ | 234/291 [00:04<00:01, 46.13it/s] Profiling: 88%|████████▊ | 256/291 [00:04<00:00, 61.91it/s] Profiling: 95%|█████████▍| 275/291 [00:04<00:00, 76.00it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 59.71it/s]
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: quantized model in 15.217s
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: Processed model cgato/TheSpice-7b-FT-InstructExperiment-Overtrain in 26.705s
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-5091-v2
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-5091-v2/special_tokens_map.json
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-5091-v2/tokenizer_config.json
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-5091-v2/config.json
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-5091-v2/tokenizer.json
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-5091-v2/tokenizer.model
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-5091-v2/mkml_model.tensors
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-ft-ins-5091-v2-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-thespice-7b-ft-ins-5091-v2-mkmlizer: warnings.warn(
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cgato-thespice-7b-ft-ins-5091-v2-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-thespice-7b-ft-ins-5091-v2-mkmlizer: warnings.warn(
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cgato-thespice-7b-ft-ins-5091-v2-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-thespice-7b-ft-ins-5091-v2-mkmlizer: warnings.warn(
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cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: Saving duration: 0.254s
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.479s
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-5091-v2_reward
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-5091-v2_reward/config.json
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-5091-v2_reward/special_tokens_map.json
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-5091-v2_reward/tokenizer_config.json
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-5091-v2_reward/merges.txt
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-5091-v2_reward/vocab.json
cgato-thespice-7b-ft-ins-5091-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-5091-v2_reward/tokenizer.json
Job cgato-thespice-7b-ft-ins-5091-v2-mkmlizer completed after 53.82s with status: succeeded
Stopping job with name cgato-thespice-7b-ft-ins-5091-v2-mkmlizer
Pipeline stage MKMLizer completed in 59.62s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-ft-ins-5091-v2
Waiting for inference service cgato-thespice-7b-ft-ins-5091-v2 to be ready
Inference service cgato-thespice-7b-ft-ins-5091-v2 ready after 40.24877905845642s
Pipeline stage ISVCDeployer completed in 51.10s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.050640344619751s
Received healthy response to inference request in 1.181478500366211s
Received healthy response to inference request in 1.0757622718811035s
Received healthy response to inference request in 1.1036081314086914s
Received healthy response to inference request in 1.171130895614624s
5 requests
0 failed requests
5th percentile: 1.081331443786621
10th percentile: 1.0869006156921386
20th percentile: 1.0980389595031739
30th percentile: 1.117112684249878
40th percentile: 1.1441217899322509
50th percentile: 1.171130895614624
60th percentile: 1.1752699375152589
70th percentile: 1.1794089794158935
80th percentile: 1.3553108692169191
90th percentile: 1.702975606918335
95th percentile: 1.8768079757690428
99th percentile: 2.0158738708496093
mean time: 1.3165240287780762
Pipeline stage StressChecker completed in 9.98s
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
cgato-thespice-7b-ft-ins_5091_v2 status is now deployed due to DeploymentManager action
cgato-thespice-7b-ft-ins_5091_v2 status is now inactive due to auto deactivation removed underperforming models

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