meseca-07062024-m1

developer_uid: nguyenzzz

submission_id: meseca-07062024-m1_v1

model_name: meseca-caspian-11_v1

model_group: meseca/07062024-m1

status: torndown

timestamp: 2024-06-07T03:31:46+00:00

num_battles: 12264

num_wins: 6396

celo_rating: 1201.08

family_friendly_score: 0.0

submission_type: basic

model_repo: meseca/07062024-m1

model_architecture: LlamaForCausalLM

reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2

model_num_parameters: 8030261248.0

best_of: 16

max_input_tokens: 512

max_output_tokens: 64

display_name: meseca-caspian-11_v1

is_internal_developer: False

language_model: meseca/07062024-m1

model_size: 8B

ranking_group: single

us_pacific_date: 2024-06-06

win_ratio: 0.5215264187866928

generation_params: {'temperature': 1.25, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 50, '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': '<|start_header_id|>system<|end_header_id|>\n\nThis is an entertaining conversation. You are {bot_name} who has the persona: {memory}.\nEngage in a chat with {user_name} while staying in character. Try to flirt with {user_name}. Engage in *roleplay* actions. Describe the scene dramatically.\n\n', 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}

model_eval_status: success

reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}

Resubmit model

Running pipeline stage MKMLizer
Starting job with name meseca-07062024-m1-v1-mkmlizer
Waiting for job on meseca-07062024-m1-v1-mkmlizer to finish
meseca-07062024-m1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
meseca-07062024-m1-v1-mkmlizer: ║     _____            __           __                                ║
meseca-07062024-m1-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
meseca-07062024-m1-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
meseca-07062024-m1-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
meseca-07062024-m1-v1-mkmlizer: ║       /___/                                                         ║
meseca-07062024-m1-v1-mkmlizer: ║                                                                     ║
meseca-07062024-m1-v1-mkmlizer: ║  Version: 0.8.14                                                    ║
meseca-07062024-m1-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
meseca-07062024-m1-v1-mkmlizer: ║  https://mk1.ai                                                     ║
meseca-07062024-m1-v1-mkmlizer: ║                                                                     ║
meseca-07062024-m1-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
meseca-07062024-m1-v1-mkmlizer: ║  belonging to:                                                      ║
meseca-07062024-m1-v1-mkmlizer: ║                                                                     ║
meseca-07062024-m1-v1-mkmlizer: ║  Chai Research Corp.                                                ║
meseca-07062024-m1-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
meseca-07062024-m1-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
meseca-07062024-m1-v1-mkmlizer: ║                                                                     ║
meseca-07062024-m1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
meseca-07062024-m1-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.
meseca-07062024-m1-v1-mkmlizer:   warnings.warn(warning_message, FutureWarning)
meseca-07062024-m1-v1-mkmlizer: Downloaded to shared memory in 45.747s
meseca-07062024-m1-v1-mkmlizer: quantizing model to /dev/shm/model_cache
meseca-07062024-m1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
meseca-07062024-m1-v1-mkmlizer: 
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
meseca-07062024-m1-v1-mkmlizer: quantized model in 22.904s
meseca-07062024-m1-v1-mkmlizer: Processed model meseca/07062024-m1 in 71.207s
meseca-07062024-m1-v1-mkmlizer: creating bucket guanaco-mkml-models
meseca-07062024-m1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
meseca-07062024-m1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/meseca-07062024-m1-v1
meseca-07062024-m1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/meseca-07062024-m1-v1/special_tokens_map.json
meseca-07062024-m1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/meseca-07062024-m1-v1/config.json
meseca-07062024-m1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/meseca-07062024-m1-v1/tokenizer_config.json
meseca-07062024-m1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/meseca-07062024-m1-v1/tokenizer.json
meseca-07062024-m1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/meseca-07062024-m1-v1/flywheel_model.0.safetensors
meseca-07062024-m1-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.
meseca-07062024-m1-v1-mkmlizer:   warnings.warn(
meseca-07062024-m1-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.
meseca-07062024-m1-v1-mkmlizer:   warnings.warn(
meseca-07062024-m1-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()
meseca-07062024-m1-v1-mkmlizer:   return self.fget.__get__(instance, owner)()
meseca-07062024-m1-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
meseca-07062024-m1-v1-mkmlizer: Saving duration: 0.399s
meseca-07062024-m1-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.010s
meseca-07062024-m1-v1-mkmlizer: creating bucket guanaco-reward-models
meseca-07062024-m1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
meseca-07062024-m1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/meseca-07062024-m1-v1_reward
meseca-07062024-m1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/meseca-07062024-m1-v1_reward/tokenizer_config.json
meseca-07062024-m1-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/meseca-07062024-m1-v1_reward/config.json
meseca-07062024-m1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/meseca-07062024-m1-v1_reward/merges.txt
meseca-07062024-m1-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/meseca-07062024-m1-v1_reward/special_tokens_map.json
meseca-07062024-m1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/meseca-07062024-m1-v1_reward/vocab.json
meseca-07062024-m1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/meseca-07062024-m1-v1_reward/tokenizer.json
meseca-07062024-m1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/meseca-07062024-m1-v1_reward/reward.tensors
Job meseca-07062024-m1-v1-mkmlizer completed after 93.26s with status: succeeded
Stopping job with name meseca-07062024-m1-v1-mkmlizer
Pipeline stage MKMLizer completed in 96.28s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service meseca-07062024-m1-v1
Waiting for inference service meseca-07062024-m1-v1 to be ready
Inference service meseca-07062024-m1-v1 ready after 30.216249465942383s
Pipeline stage ISVCDeployer completed in 37.03s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.118889331817627s
Received healthy response to inference request in 1.278057336807251s
Received healthy response to inference request in 1.2770676612854004s
Received healthy response to inference request in 1.349766492843628s
Received healthy response to inference request in 1.2813503742218018s
5 requests
0 failed requests
5th percentile: 1.2772655963897706
10th percentile: 1.2774635314941407
20th percentile: 1.2778594017028808
30th percentile: 1.2787159442901612
40th percentile: 1.2800331592559815
50th percentile: 1.2813503742218018
60th percentile: 1.3087168216705323
70th percentile: 1.3360832691192628
80th percentile: 1.503591060638428
90th percentile: 1.8112401962280273
95th percentile: 1.965064764022827
99th percentile: 2.088124418258667
mean time: 1.4610262393951416
Pipeline stage StressChecker completed in 7.88s
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
meseca-07062024-m1_v1 status is now deployed due to DeploymentManager action
meseca-07062024-m1_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of meseca-07062024-m1_v1
Running pipeline stage ISVCDeleter
Checking if service meseca-07062024-m1-v1 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 2.21s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key meseca-07062024-m1-v1/config.json from bucket guanaco-mkml-models
Deleting key meseca-07062024-m1-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key meseca-07062024-m1-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key meseca-07062024-m1-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key meseca-07062024-m1-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key meseca-07062024-m1-v1_reward/config.json from bucket guanaco-reward-models
Deleting key meseca-07062024-m1-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key meseca-07062024-m1-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key meseca-07062024-m1-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key meseca-07062024-m1-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key meseca-07062024-m1-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key meseca-07062024-m1-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.56s
meseca-07062024-m1_v1 status is now torndown due to DeploymentManager action