submission_id: meseca-20062024-c1-dpo-2e_v1
developer_uid: nguyenzzz
best_of: 16
celo_rating: 1103.14
display_name: meseca-20062024-c1-dpo-2e_v1
family_friendly_score: 0.0
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\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}
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 60, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: meseca/20062024-c1-dpo-2e
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: meseca/20062024-c1-dpo-2
model_name: meseca-20062024-c1-dpo-2e_v1
model_num_parameters: 8030261248.0
model_repo: meseca/20062024-c1-dpo-2e
model_size: 8B
num_battles: 11274
num_wins: 4466
ranking_group: single
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'}
reward_repo: Jellywibble/CHAI_alignment_reward_model
status: torndown
submission_type: basic
timestamp: 2024-06-27T16:11:24+00:00
us_pacific_date: 2024-06-27
win_ratio: 0.3961326946957602
Resubmit model
Running pipeline stage MKMLizer
Starting job with name meseca-20062024-c1-dpo-2e-v1-mkmlizer
Waiting for job on meseca-20062024-c1-dpo-2e-v1-mkmlizer to finish
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║     _____            __           __                                ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║       /___/                                                         ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║                                                                     ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║  Version: 0.8.14                                                    ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║  https://mk1.ai                                                     ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║                                                                     ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║  belonging to:                                                      ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║                                                                     ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║  Chai Research Corp.                                                ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ║                                                                     ║
meseca-20062024-c1-dpo-2e-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
meseca-20062024-c1-dpo-2e-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-20062024-c1-dpo-2e-v1-mkmlizer:   warnings.warn(warning_message, FutureWarning)
meseca-20062024-c1-dpo-2e-v1-mkmlizer: Downloaded to shared memory in 39.646s
meseca-20062024-c1-dpo-2e-v1-mkmlizer: quantizing model to /dev/shm/model_cache
meseca-20062024-c1-dpo-2e-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
meseca-20062024-c1-dpo-2e-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-20062024-c1-dpo-2e-v1-mkmlizer: quantized model in 22.903s
meseca-20062024-c1-dpo-2e-v1-mkmlizer: Processed model meseca/20062024-c1-dpo-2e in 65.152s
meseca-20062024-c1-dpo-2e-v1-mkmlizer: creating bucket guanaco-mkml-models
meseca-20062024-c1-dpo-2e-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
meseca-20062024-c1-dpo-2e-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/meseca-20062024-c1-dpo-2e-v1
meseca-20062024-c1-dpo-2e-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/meseca-20062024-c1-dpo-2e-v1/tokenizer_config.json
meseca-20062024-c1-dpo-2e-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/meseca-20062024-c1-dpo-2e-v1/special_tokens_map.json
meseca-20062024-c1-dpo-2e-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/meseca-20062024-c1-dpo-2e-v1/config.json
meseca-20062024-c1-dpo-2e-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/meseca-20062024-c1-dpo-2e-v1/tokenizer.json
meseca-20062024-c1-dpo-2e-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/meseca-20062024-c1-dpo-2e-v1/flywheel_model.0.safetensors
meseca-20062024-c1-dpo-2e-v1-mkmlizer: loading reward model from Jellywibble/CHAI_alignment_reward_model
meseca-20062024-c1-dpo-2e-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.
meseca-20062024-c1-dpo-2e-v1-mkmlizer:   warnings.warn(
meseca-20062024-c1-dpo-2e-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-20062024-c1-dpo-2e-v1-mkmlizer:   warnings.warn(
meseca-20062024-c1-dpo-2e-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-20062024-c1-dpo-2e-v1-mkmlizer:   warnings.warn(
meseca-20062024-c1-dpo-2e-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
meseca-20062024-c1-dpo-2e-v1-mkmlizer: creating bucket guanaco-reward-models
meseca-20062024-c1-dpo-2e-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
meseca-20062024-c1-dpo-2e-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/meseca-20062024-c1-dpo-2e-v1_reward
meseca-20062024-c1-dpo-2e-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/meseca-20062024-c1-dpo-2e-v1_reward/special_tokens_map.json
meseca-20062024-c1-dpo-2e-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/meseca-20062024-c1-dpo-2e-v1_reward/tokenizer_config.json
meseca-20062024-c1-dpo-2e-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/meseca-20062024-c1-dpo-2e-v1_reward/config.json
meseca-20062024-c1-dpo-2e-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/meseca-20062024-c1-dpo-2e-v1_reward/merges.txt
meseca-20062024-c1-dpo-2e-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/meseca-20062024-c1-dpo-2e-v1_reward/vocab.json
meseca-20062024-c1-dpo-2e-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/meseca-20062024-c1-dpo-2e-v1_reward/tokenizer.json
meseca-20062024-c1-dpo-2e-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/meseca-20062024-c1-dpo-2e-v1_reward/reward.tensors
Job meseca-20062024-c1-dpo-2e-v1-mkmlizer completed after 98.34s with status: succeeded
Stopping job with name meseca-20062024-c1-dpo-2e-v1-mkmlizer
Pipeline stage MKMLizer completed in 99.66s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service meseca-20062024-c1-dpo-2e-v1
Waiting for inference service meseca-20062024-c1-dpo-2e-v1 to be ready
Inference service meseca-20062024-c1-dpo-2e-v1 ready after 50.27872371673584s
Pipeline stage ISVCDeployer completed in 57.33s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.121227502822876s
Received healthy response to inference request in 1.2887988090515137s
Received healthy response to inference request in 1.2887730598449707s
Received healthy response to inference request in 1.236274003982544s
Received healthy response to inference request in 1.3245460987091064s
5 requests
0 failed requests
5th percentile: 1.2467738151550294
10th percentile: 1.2572736263275146
20th percentile: 1.2782732486724853
30th percentile: 1.2887782096862792
40th percentile: 1.2887885093688964
50th percentile: 1.2887988090515137
60th percentile: 1.3030977249145508
70th percentile: 1.317396640777588
80th percentile: 1.4838823795318605
90th percentile: 1.8025549411773683
95th percentile: 1.961891222000122
99th percentile: 2.089360246658325
mean time: 1.4519238948822022
Pipeline stage StressChecker completed in 8.74s
meseca-20062024-c1-dpo-2e_v1 status is now deployed due to DeploymentManager action
meseca-20062024-c1-dpo-2e_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of meseca-20062024-c1-dpo-2e_v1
Running pipeline stage ISVCDeleter
Checking if service meseca-20062024-c1-dpo-2e-v1 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.41s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key meseca-20062024-c1-dpo-2e-v1/config.json from bucket guanaco-mkml-models
Deleting key meseca-20062024-c1-dpo-2e-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key meseca-20062024-c1-dpo-2e-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key meseca-20062024-c1-dpo-2e-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key meseca-20062024-c1-dpo-2e-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key meseca-20062024-c1-dpo-2e-v1_reward/config.json from bucket guanaco-reward-models
Deleting key meseca-20062024-c1-dpo-2e-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key meseca-20062024-c1-dpo-2e-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key meseca-20062024-c1-dpo-2e-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key meseca-20062024-c1-dpo-2e-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key meseca-20062024-c1-dpo-2e-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key meseca-20062024-c1-dpo-2e-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.31s
meseca-20062024-c1-dpo-2e_v1 status is now torndown due to DeploymentManager action