submission_id: cgato-thespice-7b-ft-exp_6888_v1
developer_uid: c.gato
status: inactive
model_repo: cgato/TheSpice-7b-FT-ExperimentalOrca-LessOrca
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####\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: 2024-03-27T11:10:17+00:00
model_name: cgato-thespice-7b-ft-exp_6888_v1
model_eval_status: success
safety_score: 0.82
entertaining: 7.0
stay_in_character: 8.62
user_preference: 7.42
double_thumbs_up: 813
thumbs_up: 1158
thumbs_down: 457
num_battles: 112286
num_wins: 58604
win_ratio: 0.5219172470299058
celo_rating: 1173.29
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-ft-exp-6888-v1-mkmlizer
Waiting for job on cgato-thespice-7b-ft-exp-6888-v1-mkmlizer to finish
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ║ /___/ ║
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ║ ║
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ║ ║
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ║ ║
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ║ ║
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: Downloaded to shared memory in 24.142s
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: Reading /tmp/tmplnduz3qs/model.safetensors.index.json
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:13, 1.29s/it] Profiling: 4%|▍ | 13/291 [00:01<00:22, 12.57it/s] Profiling: 9%|▉ | 27/291 [00:01<00:09, 28.23it/s] Profiling: 13%|█▎ | 38/291 [00:01<00:06, 40.04it/s] Profiling: 19%|█▊ | 54/291 [00:01<00:03, 59.34it/s] Profiling: 23%|██▎ | 66/291 [00:01<00:03, 68.11it/s] Profiling: 28%|██▊ | 81/291 [00:01<00:02, 84.47it/s] Profiling: 32%|███▏ | 93/291 [00:02<00:02, 83.48it/s] Profiling: 36%|███▌ | 104/291 [00:02<00:03, 52.23it/s] Profiling: 39%|███▉ | 113/291 [00:02<00:03, 55.35it/s] Profiling: 44%|████▍ | 129/291 [00:02<00:02, 64.73it/s] Profiling: 48%|████▊ | 140/291 [00:02<00:02, 72.42it/s] Profiling: 54%|█████▍ | 157/291 [00:03<00:01, 89.32it/s] Profiling: 59%|█████▉ | 172/291 [00:03<00:01, 102.63it/s] Profiling: 63%|██████▎ | 184/291 [00:03<00:01, 105.35it/s] Profiling: 68%|██████▊ | 198/291 [00:03<00:00, 113.20it/s] Profiling: 73%|███████▎ | 211/291 [00:04<00:03, 23.39it/s] Profiling: 76%|███████▋ | 222/291 [00:05<00:02, 29.29it/s] Profiling: 82%|████████▏ | 238/291 [00:05<00:01, 41.04it/s] Profiling: 86%|████████▌ | 250/291 [00:05<00:00, 49.52it/s] Profiling: 91%|█████████▏| 266/291 [00:05<00:00, 63.41it/s] Profiling: 96%|█████████▌| 280/291 [00:05<00:00, 75.84it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 49.74it/s]
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: quantized model in 17.159s
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: Processed model cgato/TheSpice-7b-FT-ExperimentalOrca-LessOrca in 42.430s
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-ft-exp-6888-v1
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-exp-6888-v1/special_tokens_map.json
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-exp-6888-v1/config.json
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-exp-6888-v1/tokenizer_config.json
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-ft-exp-6888-v1/tokenizer.model
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-exp-6888-v1/tokenizer.json
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-ft-exp-6888-v1/mkml_model.tensors
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-ft-exp-6888-v1-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-exp-6888-v1-mkmlizer: warnings.warn(
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cgato-thespice-7b-ft-exp-6888-v1-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-exp-6888-v1-mkmlizer: warnings.warn(
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cgato-thespice-7b-ft-exp-6888-v1-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-exp-6888-v1-mkmlizer: warnings.warn(
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:07, 187MB/s] pytorch_model.bin: 5%|▌ | 73.4M/1.44G [00:00<00:03, 364MB/s] pytorch_model.bin: 9%|▉ | 136M/1.44G [00:00<00:02, 475MB/s] pytorch_model.bin: 19%|█▉ | 273M/1.44G [00:00<00:01, 791MB/s] pytorch_model.bin: 27%|██▋ | 388M/1.44G [00:00<00:01, 905MB/s] pytorch_model.bin: 36%|███▌ | 514M/1.44G [00:00<00:00, 987MB/s] pytorch_model.bin: 46%|████▌ | 658M/1.44G [00:00<00:00, 1.12GB/s] pytorch_model.bin: 54%|█████▎ | 773M/1.44G [00:00<00:00, 886MB/s] pytorch_model.bin: 66%|██████▌ | 952M/1.44G [00:01<00:00, 1.10GB/s] pytorch_model.bin: 87%|████████▋ | 1.26G/1.44G [00:01<00:00, 1.51GB/s] pytorch_model.bin: 98%|█████████▊| 1.41G/1.44G [00:01<00:00, 1.24GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.01GB/s]
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: Saving duration: 0.277s
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.364s
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-ft-exp-6888-v1_reward
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-ft-exp-6888-v1_reward/config.json
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-ft-exp-6888-v1_reward/tokenizer_config.json
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-ft-exp-6888-v1_reward/special_tokens_map.json
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-ft-exp-6888-v1_reward/vocab.json
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-ft-exp-6888-v1_reward/merges.txt
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-ft-exp-6888-v1_reward/tokenizer.json
cgato-thespice-7b-ft-exp-6888-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-ft-exp-6888-v1_reward/reward.tensors
Job cgato-thespice-7b-ft-exp-6888-v1-mkmlizer completed after 74.16s with status: succeeded
Stopping job with name cgato-thespice-7b-ft-exp-6888-v1-mkmlizer
Pipeline stage MKMLizer completed in 79.96s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-ft-exp-6888-v1
Waiting for inference service cgato-thespice-7b-ft-exp-6888-v1 to be ready
Inference service cgato-thespice-7b-ft-exp-6888-v1 ready after 40.23572373390198s
Pipeline stage ISVCDeployer completed in 48.07s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.782313346862793s
Received healthy response to inference request in 1.2874510288238525s
Received healthy response to inference request in 1.193807601928711s
Received healthy response to inference request in 1.2081704139709473s
Received healthy response to inference request in 1.2278378009796143s
5 requests
0 failed requests
5th percentile: 1.1966801643371583
10th percentile: 1.1995527267456054
20th percentile: 1.2052978515625
30th percentile: 1.2121038913726807
40th percentile: 1.2199708461761474
50th percentile: 1.2278378009796143
60th percentile: 1.2516830921173097
70th percentile: 1.2755283832550048
80th percentile: 1.3864234924316408
90th percentile: 1.5843684196472168
95th percentile: 1.6833408832550047
99th percentile: 1.7625188541412353
mean time: 1.3399160385131836
Pipeline stage StressChecker completed in 7.57s
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 0.07s
M-Eval Dataset for topic stay_in_character is loaded
cgato-thespice-7b-ft-exp_6888_v1 status is now deployed due to DeploymentManager action
cgato-thespice-7b-ft-exp_6888_v1 status is now inactive due to auto deactivation removed underperforming models

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