submission_id: cycy233-misllm-v6-2-2-5_v9
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v6.2.2.5
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
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}
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: 2024-05-31T04:57:51+00:00
model_name: cycy233-misllm-v6-2-2-5_v9
model_eval_status: success
model_group: cycy233/misllm_v6.2.2.5
num_battles: 8189
num_wins: 4184
celo_rating: 1194.19
safety_score: 0.95
propriety_score: 0.3333333333333333
propriety_total_count: 6.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7248023552.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cycy233-misllm-v6-2-2-5_v9
ineligible_reason: propriety_total_count < 5000
language_model: cycy233/misllm_v6.2.2.5
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-30
win_ratio: 0.5109292953962633
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v6-2-2-5-v9-mkmlizer
Waiting for job on cycy233-misllm-v6-2-2-5-v9-mkmlizer to finish
cycy233-misllm-v6-2-2-5-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-misllm-v6-2-2-5-v9-mkmlizer: ║ _____ __ __ ║
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cycy233-misllm-v6-2-2-5-v9-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v6-2-2-5-v9-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v6-2-2-5-v9-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v6-2-2-5-v9-mkmlizer: ║ Chai Research Corp. ║
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cycy233-misllm-v6-2-2-5-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v6-2-2-5-v9-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-v6-2-2-5-v9-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v6-2-2-5-v9-mkmlizer: Downloaded to shared memory in 14.636s
cycy233-misllm-v6-2-2-5-v9-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v6-2-2-5-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v6-2-2-5-v9-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 95.24it/s] Loading 0: 70%|███████ | 204/291 [00:01<00:00, 107.85it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 82.59it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v6-2-2-5-v9-mkmlizer: quantized model in 15.545s
cycy233-misllm-v6-2-2-5-v9-mkmlizer: Processed model cycy233/misllm_v6.2.2.5 in 32.506s
cycy233-misllm-v6-2-2-5-v9-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v6-2-2-5-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v6-2-2-5-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v9
cycy233-misllm-v6-2-2-5-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v9/special_tokens_map.json
cycy233-misllm-v6-2-2-5-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v9/config.json
cycy233-misllm-v6-2-2-5-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v9/tokenizer_config.json
cycy233-misllm-v6-2-2-5-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v9/tokenizer.model
cycy233-misllm-v6-2-2-5-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v9/tokenizer.json
cycy233-misllm-v6-2-2-5-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v9/flywheel_model.0.safetensors
cycy233-misllm-v6-2-2-5-v9-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v6-2-2-5-v9-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-v6-2-2-5-v9-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-v9-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-v6-2-2-5-v9-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-v9-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-v6-2-2-5-v9-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-v9-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
cycy233-misllm-v6-2-2-5-v9-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v6-2-2-5-v9-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v6-2-2-5-v9-mkmlizer: Saving duration: 0.400s
cycy233-misllm-v6-2-2-5-v9-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.854s
cycy233-misllm-v6-2-2-5-v9-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v6-2-2-5-v9-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v6-2-2-5-v9-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v9_reward
cycy233-misllm-v6-2-2-5-v9-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v9_reward/special_tokens_map.json
cycy233-misllm-v6-2-2-5-v9-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v9_reward/config.json
cycy233-misllm-v6-2-2-5-v9-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v9_reward/tokenizer_config.json
cycy233-misllm-v6-2-2-5-v9-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v9_reward/merges.txt
cycy233-misllm-v6-2-2-5-v9-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v9_reward/vocab.json
cycy233-misllm-v6-2-2-5-v9-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v9_reward/tokenizer.json
cycy233-misllm-v6-2-2-5-v9-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v9_reward/reward.tensors
Job cycy233-misllm-v6-2-2-5-v9-mkmlizer completed after 63.68s with status: succeeded
Stopping job with name cycy233-misllm-v6-2-2-5-v9-mkmlizer
Pipeline stage MKMLizer completed in 67.85s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.22s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v6-2-2-5-v9
Waiting for inference service cycy233-misllm-v6-2-2-5-v9 to be ready
Inference service cycy233-misllm-v6-2-2-5-v9 ready after 30.21487283706665s
Pipeline stage ISVCDeployer completed in 37.65s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9699838161468506s
Received healthy response to inference request in 1.1716029644012451s
Received healthy response to inference request in 1.1820926666259766s
Received healthy response to inference request in 1.1711137294769287s
Received healthy response to inference request in 1.1908581256866455s
5 requests
0 failed requests
5th percentile: 1.171211576461792
10th percentile: 1.1713094234466552
20th percentile: 1.1715051174163817
30th percentile: 1.1737009048461915
40th percentile: 1.177896785736084
50th percentile: 1.1820926666259766
60th percentile: 1.1855988502502441
70th percentile: 1.1891050338745117
80th percentile: 1.3466832637786867
90th percentile: 1.6583335399627686
95th percentile: 1.8141586780548093
99th percentile: 1.9388187885284422
mean time: 1.3371302604675293
Pipeline stage StressChecker completed in 7.30s
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 0.03s
M-Eval Dataset for topic stay_in_character is loaded
cycy233-misllm-v6-2-2-5_v9 status is now deployed due to DeploymentManager action
cycy233-misllm-v6-2-2-5_v9 status is now inactive due to auto deactivation removed underperforming models

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