submission_id: cycy233-misllm-v6-5-2-5_v4
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v6.5.2.5
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.2, '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}:', 'truncate_by_message': False}
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}:', 'truncate_by_message': False}
timestamp: 2024-06-05T15:45:19+00:00
model_name: infer_test
model_eval_status: success
model_group: cycy233/misllm_v6.5.2.5
num_battles: 16048
num_wins: 8484
celo_rating: 1194.75
safety_score: 0.97
propriety_score: 0.6881188118811881
propriety_total_count: 606.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: infer_test
ineligible_reason: propriety_total_count < 5000
language_model: cycy233/misllm_v6.5.2.5
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-05
win_ratio: 0.5286640079760718
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v6-5-2-5-v4-mkmlizer
Waiting for job on cycy233-misllm-v6-5-2-5-v4-mkmlizer to finish
cycy233-misllm-v6-5-2-5-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v6-5-2-5-v4-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v6-5-2-5-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v6-5-2-5-v4-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v6-5-2-5-v4-mkmlizer: ║ Chai Research Corp. ║
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cycy233-misllm-v6-5-2-5-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v6-5-2-5-v4-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
cycy233-misllm-v6-5-2-5-v4-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v6-5-2-5-v4-mkmlizer: Downloaded to shared memory in 17.130s
cycy233-misllm-v6-5-2-5-v4-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v6-5-2-5-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v6-5-2-5-v4-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:00<00:01, 98.92it/s] Loading 0: 70%|███████ | 204/291 [00:01<00:00, 111.32it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 88.28it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v6-5-2-5-v4-mkmlizer: quantized model in 14.443s
cycy233-misllm-v6-5-2-5-v4-mkmlizer: Processed model cycy233/misllm_v6.5.2.5 in 33.796s
cycy233-misllm-v6-5-2-5-v4-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v6-5-2-5-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v6-5-2-5-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v6-5-2-5-v4
cycy233-misllm-v6-5-2-5-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v6-5-2-5-v4/tokenizer_config.json
cycy233-misllm-v6-5-2-5-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v6-5-2-5-v4/special_tokens_map.json
cycy233-misllm-v6-5-2-5-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v6-5-2-5-v4/config.json
cycy233-misllm-v6-5-2-5-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v6-5-2-5-v4/tokenizer.json
cycy233-misllm-v6-5-2-5-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v6-5-2-5-v4/tokenizer.model
cycy233-misllm-v6-5-2-5-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v6-5-2-5-v4/flywheel_model.0.safetensors
cycy233-misllm-v6-5-2-5-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v6-5-2-5-v4-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-misllm-v6-5-2-5-v4-mkmlizer: warnings.warn(
cycy233-misllm-v6-5-2-5-v4-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-misllm-v6-5-2-5-v4-mkmlizer: warnings.warn(
cycy233-misllm-v6-5-2-5-v4-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-misllm-v6-5-2-5-v4-mkmlizer: warnings.warn(
cycy233-misllm-v6-5-2-5-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v6-5-2-5-v4-mkmlizer: Saving duration: 0.411s
cycy233-misllm-v6-5-2-5-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.203s
cycy233-misllm-v6-5-2-5-v4-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v6-5-2-5-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v6-5-2-5-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v6-5-2-5-v4_reward
cycy233-misllm-v6-5-2-5-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v6-5-2-5-v4_reward/tokenizer_config.json
cycy233-misllm-v6-5-2-5-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v6-5-2-5-v4_reward/special_tokens_map.json
cycy233-misllm-v6-5-2-5-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v6-5-2-5-v4_reward/config.json
cycy233-misllm-v6-5-2-5-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v6-5-2-5-v4_reward/vocab.json
cycy233-misllm-v6-5-2-5-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v6-5-2-5-v4_reward/merges.txt
cycy233-misllm-v6-5-2-5-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v6-5-2-5-v4_reward/tokenizer.json
cycy233-misllm-v6-5-2-5-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v6-5-2-5-v4_reward/reward.tensors
Job cycy233-misllm-v6-5-2-5-v4-mkmlizer completed after 63.34s with status: succeeded
Stopping job with name cycy233-misllm-v6-5-2-5-v4-mkmlizer
Pipeline stage MKMLizer completed in 67.30s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v6-5-2-5-v4
Waiting for inference service cycy233-misllm-v6-5-2-5-v4 to be ready
Inference service cycy233-misllm-v6-5-2-5-v4 ready after 30.176106452941895s
Pipeline stage ISVCDeployer completed in 37.82s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.848656177520752s
Received healthy response to inference request in 1.1083571910858154s
Received healthy response to inference request in 1.1725857257843018s
Received healthy response to inference request in 1.192920446395874s
Received healthy response to inference request in 1.0681304931640625s
5 requests
0 failed requests
5th percentile: 1.076175832748413
10th percentile: 1.0842211723327637
20th percentile: 1.100311851501465
30th percentile: 1.1212028980255127
40th percentile: 1.1468943119049073
50th percentile: 1.1725857257843018
60th percentile: 1.1807196140289307
70th percentile: 1.1888535022735596
80th percentile: 1.3240675926208496
90th percentile: 1.5863618850708008
95th percentile: 1.7175090312957764
99th percentile: 1.8224267482757568
mean time: 1.278130006790161
Pipeline stage StressChecker completed in 6.99s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
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
cycy233-misllm-v6-5-2-5_v4 status is now deployed due to DeploymentManager action
cycy233-misllm-v6-5-2-5_v4 status is now inactive due to auto deactivation removed underperforming models

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