submission_id: cycy233-misllm-v6-7-2-5_v1
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v6.7.2.5
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': 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: 2024-06-11T04:07:19+00:00
model_name: base
model_eval_status: success
model_group: cycy233/misllm_v6.7.2.5
num_battles: 9325
num_wins: 4905
celo_rating: 1197.73
safety_score: 0.97
propriety_score: 0.6717667436489607
propriety_total_count: 3464.0
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_v6.7.2.5
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-10
win_ratio: 0.5260053619302949
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v6-7-2-5-v1-mkmlizer
Waiting for job on cycy233-misllm-v6-7-2-5-v1-mkmlizer to finish
cycy233-misllm-v6-7-2-5-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v6-7-2-5-v1-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v6-7-2-5-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v6-7-2-5-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v6-7-2-5-v1-mkmlizer: ║ Chai Research Corp. ║
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cycy233-misllm-v6-7-2-5-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v6-7-2-5-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-v6-7-2-5-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v6-7-2-5-v1-mkmlizer: Downloaded to shared memory in 30.999s
cycy233-misllm-v6-7-2-5-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v6-7-2-5-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v6-7-2-5-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:00<00:01, 99.38it/s] Loading 0: 70%|███████ | 204/291 [00:01<00:00, 111.08it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 87.44it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v6-7-2-5-v1-mkmlizer: quantized model in 14.364s
cycy233-misllm-v6-7-2-5-v1-mkmlizer: Processed model cycy233/misllm_v6.7.2.5 in 47.631s
cycy233-misllm-v6-7-2-5-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v6-7-2-5-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v6-7-2-5-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v6-7-2-5-v1
cycy233-misllm-v6-7-2-5-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v6-7-2-5-v1/special_tokens_map.json
cycy233-misllm-v6-7-2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v6-7-2-5-v1/tokenizer.json
cycy233-misllm-v6-7-2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v6-7-2-5-v1/tokenizer.model
cycy233-misllm-v6-7-2-5-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v6-7-2-5-v1/config.json
cycy233-misllm-v6-7-2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v6-7-2-5-v1/tokenizer_config.json
cycy233-misllm-v6-7-2-5-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v6-7-2-5-v1/flywheel_model.0.safetensors
cycy233-misllm-v6-7-2-5-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v6-7-2-5-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-v6-7-2-5-v1-mkmlizer: warnings.warn(
cycy233-misllm-v6-7-2-5-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-v6-7-2-5-v1-mkmlizer: warnings.warn(
cycy233-misllm-v6-7-2-5-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-v6-7-2-5-v1-mkmlizer: warnings.warn(
cycy233-misllm-v6-7-2-5-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-v6-7-2-5-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v6-7-2-5-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v6-7-2-5-v1-mkmlizer: Saving duration: 0.407s
cycy233-misllm-v6-7-2-5-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.158s
cycy233-misllm-v6-7-2-5-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v6-7-2-5-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v6-7-2-5-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v6-7-2-5-v1_reward
cycy233-misllm-v6-7-2-5-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v6-7-2-5-v1_reward/config.json
cycy233-misllm-v6-7-2-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v6-7-2-5-v1_reward/tokenizer_config.json
cycy233-misllm-v6-7-2-5-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v6-7-2-5-v1_reward/vocab.json
cycy233-misllm-v6-7-2-5-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v6-7-2-5-v1_reward/special_tokens_map.json
cycy233-misllm-v6-7-2-5-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v6-7-2-5-v1_reward/merges.txt
cycy233-misllm-v6-7-2-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v6-7-2-5-v1_reward/tokenizer.json
cycy233-misllm-v6-7-2-5-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v6-7-2-5-v1_reward/reward.tensors
Job cycy233-misllm-v6-7-2-5-v1-mkmlizer completed after 73.17s with status: succeeded
Stopping job with name cycy233-misllm-v6-7-2-5-v1-mkmlizer
Pipeline stage MKMLizer completed in 73.53s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v6-7-2-5-v1
Waiting for inference service cycy233-misllm-v6-7-2-5-v1 to be ready
Inference service cycy233-misllm-v6-7-2-5-v1 ready after 40.21841788291931s
Pipeline stage ISVCDeployer completed in 45.85s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.973560094833374s
Received healthy response to inference request in 1.0425760746002197s
Received healthy response to inference request in 1.0325074195861816s
Received healthy response to inference request in 1.1789252758026123s
Received healthy response to inference request in 1.1794042587280273s
5 requests
0 failed requests
5th percentile: 1.0345211505889893
10th percentile: 1.036534881591797
20th percentile: 1.040562343597412
30th percentile: 1.0698459148406982
40th percentile: 1.1243855953216553
50th percentile: 1.1789252758026123
60th percentile: 1.1791168689727782
70th percentile: 1.1793084621429444
80th percentile: 1.3382354259490967
90th percentile: 1.6558977603912355
95th percentile: 1.8147289276123046
99th percentile: 1.94179386138916
mean time: 1.281394624710083
Pipeline stage StressChecker completed in 7.01s
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-v6-7-2-5_v1 status is now deployed due to DeploymentManager action
cycy233-misllm-v6-7-2-5_v1 status is now inactive due to auto deactivation removed underperforming models

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