submission_id: cgato-thespice-7b-ft-ins_5091_v3
developer_uid: c.gato
best_of: 16
celo_rating: 1079.84
display_name: cgato-thespice-7b-ft-ins_5091_v3
family_friendly_score: 0.0
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n{bot_name} only uses uppercase 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}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, '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}
is_internal_developer: False
language_model: cgato/TheSpice-7b-FT-InstructExperiment-Overtrain
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_eval_status: success
model_group: cgato/TheSpice-7b-FT-Ins
model_name: cgato-thespice-7b-ft-ins_5091_v3
model_num_parameters: 7241732096.0
model_repo: cgato/TheSpice-7b-FT-InstructExperiment-Overtrain
model_size: 7B
num_battles: 47814
num_wins: 18691
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n{bot_name} only uses uppercase letters.\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-03-29T01:57:38+00:00
us_pacific_date: 2024-03-28
win_ratio: 0.39091061195465765
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-ft-ins-5091-v3-mkmlizer
Waiting for job on cgato-thespice-7b-ft-ins-5091-v3-mkmlizer to finish
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ║ /___/ ║
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ║ ║
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ║ ║
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ║ ║
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ║ ║
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: Downloaded to shared memory in 15.267s
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: Reading /tmp/tmp1isep7ic/model.safetensors.index.json
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:50, 1.42s/it] Profiling: 6%|▌ | 18/291 [00:01<00:16, 16.18it/s] Profiling: 13%|█▎ | 37/291 [00:01<00:07, 36.06it/s] Profiling: 19%|█▉ | 56/291 [00:01<00:04, 57.53it/s] Profiling: 27%|██▋ | 78/291 [00:01<00:02, 84.44it/s] Profiling: 34%|███▎ | 98/291 [00:02<00:02, 71.86it/s] Profiling: 40%|███▉ | 116/291 [00:02<00:01, 88.40it/s] Profiling: 47%|████▋ | 138/291 [00:02<00:01, 111.91it/s] Profiling: 54%|█████▍ | 158/291 [00:02<00:01, 127.52it/s] Profiling: 63%|██████▎ | 183/291 [00:02<00:00, 153.04it/s] Profiling: 70%|███████ | 204/291 [00:04<00:02, 36.31it/s] Profiling: 76%|███████▌ | 221/291 [00:04<00:01, 45.40it/s] Profiling: 82%|████████▏ | 240/291 [00:04<00:00, 58.32it/s] Profiling: 90%|█████████ | 262/291 [00:04<00:00, 76.69it/s] Profiling: 98%|█████████▊| 284/291 [00:04<00:00, 95.08it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 60.27it/s]
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: quantized model in 15.189s
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: Processed model cgato/TheSpice-7b-FT-InstructExperiment-Overtrain in 31.368s
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-5091-v3
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-5091-v3/special_tokens_map.json
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-5091-v3/tokenizer_config.json
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-5091-v3/config.json
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-5091-v3/tokenizer.json
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-5091-v3/tokenizer.model
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-5091-v3/mkml_model.tensors
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-ft-ins-5091-v3-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-v3-mkmlizer: warnings.warn(
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cgato-thespice-7b-ft-ins-5091-v3-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-v3-mkmlizer: warnings.warn(
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cgato-thespice-7b-ft-ins-5091-v3-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-v3-mkmlizer: warnings.warn(
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:17, 79.7MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:20, 69.8MB/s] pytorch_model.bin: 5%|▌ | 73.4M/1.44G [00:00<00:06, 225MB/s] pytorch_model.bin: 15%|█▍ | 210M/1.44G [00:00<00:02, 513MB/s] pytorch_model.bin: 19%|█▉ | 273M/1.44G [00:00<00:02, 518MB/s] pytorch_model.bin: 23%|██▎ | 325M/1.44G [00:01<00:05, 197MB/s] pytorch_model.bin: 38%|███▊ | 545M/1.44G [00:01<00:01, 459MB/s] pytorch_model.bin: 65%|██████▍ | 933M/1.44G [00:01<00:00, 998MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 868MB/s]
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: Saving duration: 0.289s
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.645s
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-5091-v3_reward
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-5091-v3_reward/tokenizer_config.json
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-5091-v3_reward/merges.txt
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-5091-v3_reward/config.json
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-5091-v3_reward/special_tokens_map.json
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-5091-v3_reward/vocab.json
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-5091-v3_reward/tokenizer.json
cgato-thespice-7b-ft-ins-5091-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-5091-v3_reward/reward.tensors
Job cgato-thespice-7b-ft-ins-5091-v3-mkmlizer completed after 56.41s with status: succeeded
Stopping job with name cgato-thespice-7b-ft-ins-5091-v3-mkmlizer
Pipeline stage MKMLizer completed in 59.82s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-ft-ins-5091-v3
Waiting for inference service cgato-thespice-7b-ft-ins-5091-v3 to be ready
Inference service cgato-thespice-7b-ft-ins-5091-v3 ready after 40.61369562149048s
Pipeline stage ISVCDeployer completed in 47.87s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8055827617645264s
Received healthy response to inference request in 1.1833417415618896s
Received healthy response to inference request in 1.7953877449035645s
Received healthy response to inference request in 1.1831095218658447s
Received healthy response to inference request in 1.083080530166626s
5 requests
0 failed requests
5th percentile: 1.1030863285064698
10th percentile: 1.1230921268463134
20th percentile: 1.1631037235260009
30th percentile: 1.1831559658050537
40th percentile: 1.1832488536834718
50th percentile: 1.1833417415618896
60th percentile: 1.4281601428985595
70th percentile: 1.6729785442352294
80th percentile: 1.7974267482757569
90th percentile: 1.8015047550201415
95th percentile: 1.803543758392334
99th percentile: 1.8051749610900878
mean time: 1.4101004600524902
Pipeline stage StressChecker completed in 14.29s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
cgato-thespice-7b-ft-ins_5091_v3 status is now deployed due to DeploymentManager action
cgato-thespice-7b-ft-ins_5091_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thespice-7b-ft-ins_5091_v3
Running pipeline stage ISVCDeleter
Checking if service cgato-thespice-7b-ft-ins-5091-v3 is running
Tearing down inference service cgato-thespice-7b-ft-ins-5091-v3
Toredown service cgato-thespice-7b-ft-ins-5091-v3
Pipeline stage ISVCDeleter completed in 3.42s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thespice-7b-ft-ins-5091-v3/config.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-ins-5091-v3/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-ins-5091-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-ins-5091-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-ins-5091-v3/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-ins-5091-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thespice-7b-ft-ins-5091-v3_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-ins-5091-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-ins-5091-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-ins-5091-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-ins-5091-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-ins-5091-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-ins-5091-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.37s
cgato-thespice-7b-ft-ins_5091_v3 status is now torndown due to DeploymentManager action