submission_id: cycy233-misllm-v6-5-2-5_v3
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': 0.95, '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: 2024-06-05T15:43:44+00:00
model_name: base_f
model_eval_status: success
model_group: cycy233/misllm_v6.5.2.5
num_battles: 15262
num_wins: 8134
celo_rating: 1197.53
safety_score: 0.95
propriety_score: 0.6020408163265306
propriety_total_count: 588.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: base_f
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: 0.5329576726510287
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v6-5-2-5-v3-mkmlizer
Waiting for job on cycy233-misllm-v6-5-2-5-v3-mkmlizer to finish
cycy233-misllm-v6-5-2-5-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v6-5-2-5-v3-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v6-5-2-5-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v6-5-2-5-v3-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v6-5-2-5-v3-mkmlizer: ║ Chai Research Corp. ║
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cycy233-misllm-v6-5-2-5-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v6-5-2-5-v3-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-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v6-5-2-5-v3-mkmlizer: Downloaded to shared memory in 22.618s
cycy233-misllm-v6-5-2-5-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v6-5-2-5-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v6-5-2-5-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:00<00:01, 103.89it/s] Loading 0: 70%|███████ | 204/291 [00:01<00:00, 114.46it/s] Loading 0: 100%|██████████| 291/291 [00:02<00:00, 93.71it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v6-5-2-5-v3-mkmlizer: quantized model in 10.859s
cycy233-misllm-v6-5-2-5-v3-mkmlizer: Processed model cycy233/misllm_v6.5.2.5 in 34.325s
cycy233-misllm-v6-5-2-5-v3-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v6-5-2-5-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v6-5-2-5-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v6-5-2-5-v3
cycy233-misllm-v6-5-2-5-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v6-5-2-5-v3/config.json
cycy233-misllm-v6-5-2-5-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v6-5-2-5-v3/special_tokens_map.json
cycy233-misllm-v6-5-2-5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v6-5-2-5-v3/tokenizer_config.json
cycy233-misllm-v6-5-2-5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v6-5-2-5-v3/tokenizer.model
cycy233-misllm-v6-5-2-5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v6-5-2-5-v3/tokenizer.json
cycy233-misllm-v6-5-2-5-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v6-5-2-5-v3/flywheel_model.0.safetensors
cycy233-misllm-v6-5-2-5-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v6-5-2-5-v3-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-v3-mkmlizer: warnings.warn(
cycy233-misllm-v6-5-2-5-v3-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-v3-mkmlizer: warnings.warn(
cycy233-misllm-v6-5-2-5-v3-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-v3-mkmlizer: warnings.warn(
cycy233-misllm-v6-5-2-5-v3-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-v6-5-2-5-v3-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v6-5-2-5-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v6-5-2-5-v3-mkmlizer: Saving duration: 0.279s
cycy233-misllm-v6-5-2-5-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 9.997s
cycy233-misllm-v6-5-2-5-v3-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v6-5-2-5-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v6-5-2-5-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v6-5-2-5-v3_reward
cycy233-misllm-v6-5-2-5-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v6-5-2-5-v3_reward/config.json
cycy233-misllm-v6-5-2-5-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v6-5-2-5-v3_reward/tokenizer_config.json
cycy233-misllm-v6-5-2-5-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v6-5-2-5-v3_reward/special_tokens_map.json
cycy233-misllm-v6-5-2-5-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v6-5-2-5-v3_reward/merges.txt
cycy233-misllm-v6-5-2-5-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v6-5-2-5-v3_reward/reward.tensors
Job cycy233-misllm-v6-5-2-5-v3-mkmlizer completed after 105.43s with status: succeeded
Stopping job with name cycy233-misllm-v6-5-2-5-v3-mkmlizer
Pipeline stage MKMLizer completed in 109.64s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v6-5-2-5-v3
Waiting for inference service cycy233-misllm-v6-5-2-5-v3 to be ready
Inference service cycy233-misllm-v6-5-2-5-v3 ready after 171.07346367835999s
Pipeline stage ISVCDeployer completed in 178.71s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.101327419281006s
Received healthy response to inference request in 1.162198781967163s
Received healthy response to inference request in 1.131272554397583s
Received healthy response to inference request in 1.1400811672210693s
Received healthy response to inference request in 1.1824674606323242s
5 requests
0 failed requests
5th percentile: 1.1330342769622803
10th percentile: 1.1347959995269776
20th percentile: 1.138319444656372
30th percentile: 1.144504690170288
40th percentile: 1.1533517360687255
50th percentile: 1.162198781967163
60th percentile: 1.1703062534332276
70th percentile: 1.178413724899292
80th percentile: 1.3662394523620607
90th percentile: 1.7337834358215334
95th percentile: 1.9175554275512694
99th percentile: 2.0645730209350583
mean time: 1.3434694766998292
Pipeline stage StressChecker completed in 7.37s
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_v3 status is now deployed due to DeploymentManager action
cycy233-misllm-v6-5-2-5_v3 status is now inactive due to auto deactivation removed underperforming models

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