submission_id: cycy233-misllm-v7-4-2_v2
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v7.4.2
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': True}
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': True}
timestamp: 2024-06-13T02:44:20+00:00
model_name: base
model_eval_status: success
model_group: cycy233/misllm_v7.4.2
num_battles: 29796
num_wins: 14915
celo_rating: 1181.57
propriety_score: 0.6821399839098954
propriety_total_count: 12430.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7248023552.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: base
ineligible_reason: None
language_model: cycy233/misllm_v7.4.2
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-12
win_ratio: 0.5005705463820647
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v7-4-2-v2-mkmlizer
Waiting for job on cycy233-misllm-v7-4-2-v2-mkmlizer to finish
cycy233-misllm-v7-4-2-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v7-4-2-v2-mkmlizer: ║ ║
cycy233-misllm-v7-4-2-v2-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v7-4-2-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v7-4-2-v2-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v7-4-2-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v7-4-2-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v7-4-2-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-misllm-v7-4-2-v2-mkmlizer: ║ ║
cycy233-misllm-v7-4-2-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v7-4-2-v2-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-v7-4-2-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v7-4-2-v2-mkmlizer: Downloaded to shared memory in 19.566s
cycy233-misllm-v7-4-2-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v7-4-2-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v7-4-2-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 93.09it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 97.28it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 81.23it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v7-4-2-v2-mkmlizer: quantized model in 15.418s
cycy233-misllm-v7-4-2-v2-mkmlizer: Processed model cycy233/misllm_v7.4.2 in 37.373s
cycy233-misllm-v7-4-2-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v7-4-2-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v7-4-2-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v7-4-2-v2
cycy233-misllm-v7-4-2-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v7-4-2-v2/special_tokens_map.json
cycy233-misllm-v7-4-2-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v7-4-2-v2/config.json
cycy233-misllm-v7-4-2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v7-4-2-v2/tokenizer.json
cycy233-misllm-v7-4-2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v7-4-2-v2/tokenizer_config.json
cycy233-misllm-v7-4-2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v7-4-2-v2/tokenizer.model
cycy233-misllm-v7-4-2-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v7-4-2-v2/flywheel_model.0.safetensors
cycy233-misllm-v7-4-2-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v7-4-2-v2-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-v7-4-2-v2-mkmlizer: warnings.warn(
cycy233-misllm-v7-4-2-v2-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-v7-4-2-v2-mkmlizer: warnings.warn(
cycy233-misllm-v7-4-2-v2-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-v7-4-2-v2-mkmlizer: warnings.warn(
cycy233-misllm-v7-4-2-v2-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-v7-4-2-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v7-4-2-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v7-4-2-v2-mkmlizer: Saving duration: 0.650s
cycy233-misllm-v7-4-2-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.210s
cycy233-misllm-v7-4-2-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v7-4-2-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v7-4-2-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v7-4-2-v2_reward
cycy233-misllm-v7-4-2-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v7-4-2-v2_reward/config.json
cycy233-misllm-v7-4-2-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v7-4-2-v2_reward/special_tokens_map.json
cycy233-misllm-v7-4-2-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v7-4-2-v2_reward/vocab.json
cycy233-misllm-v7-4-2-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v7-4-2-v2_reward/tokenizer_config.json
cycy233-misllm-v7-4-2-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v7-4-2-v2_reward/merges.txt
cycy233-misllm-v7-4-2-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v7-4-2-v2_reward/tokenizer.json
cycy233-misllm-v7-4-2-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v7-4-2-v2_reward/reward.tensors
Job cycy233-misllm-v7-4-2-v2-mkmlizer completed after 72.75s with status: succeeded
Stopping job with name cycy233-misllm-v7-4-2-v2-mkmlizer
Pipeline stage MKMLizer completed in 73.08s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v7-4-2-v2
Waiting for inference service cycy233-misllm-v7-4-2-v2 to be ready
Inference service cycy233-misllm-v7-4-2-v2 ready after 171.47851490974426s
Pipeline stage ISVCDeployer completed in 177.03s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1504359245300293s
Received healthy response to inference request in 0.8547217845916748s
Received healthy response to inference request in 1.1566505432128906s
Received healthy response to inference request in 1.0578701496124268s
Received healthy response to inference request in 1.1546509265899658s
5 requests
0 failed requests
5th percentile: 0.8953514575958252
10th percentile: 0.9359811305999756
20th percentile: 1.0172404766082763
30th percentile: 1.0772263050079345
40th percentile: 1.1159386157989502
50th percentile: 1.1546509265899658
60th percentile: 1.1554507732391357
70th percentile: 1.1562506198883056
80th percentile: 1.3554076194763185
90th percentile: 1.752921772003174
95th percentile: 1.9516788482666014
99th percentile: 2.110684509277344
mean time: 1.2748658657073975
Pipeline stage StressChecker completed in 6.95s
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-v7-4-2_v2 status is now deployed due to DeploymentManager action
cycy233-misllm-v7-4-2_v2 status is now inactive due to auto deactivation removed underperforming models

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