submission_id: cycy233-misllm-v6-6-3_v1
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v6.6.3
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: 2024-06-11T03:44:24+00:00
model_name: base
model_eval_status: success
model_group: cycy233/misllm_v6.6.3
num_battles: 11386
num_wins: 5934
celo_rating: 1194.8
safety_score: 0.96
propriety_score: 0.6702601359268807
propriety_total_count: 4267.0
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
ineligible_reason: propriety_total_count < 5000
language_model: cycy233/misllm_v6.6.3
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-10
win_ratio: 0.5211663446337608
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v6-6-3-v1-mkmlizer
Waiting for job on cycy233-misllm-v6-6-3-v1-mkmlizer to finish
cycy233-misllm-v6-6-3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v6-6-3-v1-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v6-6-3-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v6-6-3-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v6-6-3-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cycy233-misllm-v6-6-3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v6-6-3-v1-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-v6-6-3-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v6-6-3-v1-mkmlizer: Downloaded to shared memory in 31.032s
cycy233-misllm-v6-6-3-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v6-6-3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v6-6-3-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 91.66it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 92.80it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 79.42it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v6-6-3-v1-mkmlizer: quantized model in 17.743s
cycy233-misllm-v6-6-3-v1-mkmlizer: Processed model cycy233/misllm_v6.6.3 in 51.191s
cycy233-misllm-v6-6-3-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v6-6-3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v6-6-3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v6-6-3-v1
cycy233-misllm-v6-6-3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v6-6-3-v1/config.json
cycy233-misllm-v6-6-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v6-6-3-v1/tokenizer_config.json
cycy233-misllm-v6-6-3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v6-6-3-v1/special_tokens_map.json
cycy233-misllm-v6-6-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v6-6-3-v1/tokenizer.model
cycy233-misllm-v6-6-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v6-6-3-v1/tokenizer.json
cycy233-misllm-v6-6-3-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v6-6-3-v1-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-v6-6-3-v1-mkmlizer: warnings.warn(
cycy233-misllm-v6-6-3-v1-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-v6-6-3-v1-mkmlizer: warnings.warn(
cycy233-misllm-v6-6-3-v1-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-v6-6-3-v1-mkmlizer: warnings.warn(
cycy233-misllm-v6-6-3-v1-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-v6-6-3-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v6-6-3-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v6-6-3-v1-mkmlizer: Saving duration: 0.491s
cycy233-misllm-v6-6-3-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.290s
cycy233-misllm-v6-6-3-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v6-6-3-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v6-6-3-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v6-6-3-v1_reward/reward.tensors
Job cycy233-misllm-v6-6-3-v1-mkmlizer completed after 82.73s with status: succeeded
Stopping job with name cycy233-misllm-v6-6-3-v1-mkmlizer
Pipeline stage MKMLizer completed in 83.09s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v6-6-3-v1
Waiting for inference service cycy233-misllm-v6-6-3-v1 to be ready
Inference service cycy233-misllm-v6-6-3-v1 ready after 100.51291275024414s
Pipeline stage ISVCDeployer completed in 106.25s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.059600591659546s
Received healthy response to inference request in 1.0571362972259521s
Received healthy response to inference request in 1.154888391494751s
Received healthy response to inference request in 1.1316382884979248s
Received healthy response to inference request in 0.858062744140625s
5 requests
0 failed requests
5th percentile: 0.8978774547576904
10th percentile: 0.9376921653747559
20th percentile: 1.0173215866088867
30th percentile: 1.0720366954803466
40th percentile: 1.1018374919891358
50th percentile: 1.1316382884979248
60th percentile: 1.1409383296966553
70th percentile: 1.1502383708953858
80th percentile: 1.33583083152771
90th percentile: 1.697715711593628
95th percentile: 1.8786581516265868
99th percentile: 2.023412103652954
mean time: 1.2522652626037598
Pipeline stage StressChecker completed in 6.86s
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-v6-6-3_v1 status is now deployed due to DeploymentManager action
cycy233-misllm-v6-6-3_v1 status is now inactive due to auto deactivation removed underperforming models

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