cycy233-l3-ba-e-v2-c3

developer_uid: shiroe40

submission_id: cycy233-l3-ba-e-v2-c3_v1

model_name: auto

model_group: cycy233/L3-ba-e-v2-c3

status: torndown

timestamp: 2024-07-26T07:26:43+00:00

num_battles: 10079

num_wins: 5113

celo_rating: 1202.5

family_friendly_score: 0.0

submission_type: basic

model_repo: cycy233/L3-ba-e-v2-c3

model_architecture: LlamaForCausalLM

reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634

model_num_parameters: 8030261248.0

best_of: 16

max_input_tokens: 512

max_output_tokens: 64

display_name: auto

is_internal_developer: False

language_model: cycy233/L3-ba-e-v2-c3

model_size: 8B

ranking_group: single

us_pacific_date: 2024-07-26

win_ratio: 0.5072923901180673

generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}

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}

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 cycy233-l3-ba-e-v2-c3-v1-mkmlizer
Waiting for job on cycy233-l3-ba-e-v2-c3-v1-mkmlizer to finish
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║  Version: 0.9.7                                                     ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: quantized model in 25.910s
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: Processed model cycy233/L3-ba-e-v2-c3 in 61.393s
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ba-e-v2-c3-v1
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v2-c3-v1/config.json
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v2-c3-v1/special_tokens_map.json
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v2-c3-v1/tokenizer_config.json
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v2-c3-v1/tokenizer.json
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ba-e-v2-c3-v1/flywheel_model.0.safetensors
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:07, 36.04it/s]
Loading 0:   4%|▍         | 13/291 [00:00<00:04, 57.70it/s]
Loading 0:   7%|▋         | 20/291 [00:00<00:05, 53.13it/s]
Loading 0:   9%|▉         | 26/291 [00:00<00:05, 52.12it/s]
Loading 0:  11%|█         | 32/291 [00:00<00:05, 44.43it/s]
Loading 0:  14%|█▎        | 40/291 [00:00<00:04, 53.51it/s]
Loading 0:  16%|█▌        | 46/291 [00:00<00:05, 48.49it/s]
Loading 0:  18%|█▊        | 52/291 [00:01<00:04, 49.98it/s]
Loading 0:  20%|█▉        | 58/291 [00:01<00:04, 52.20it/s]
Loading 0:  22%|██▏       | 64/291 [00:01<00:04, 47.62it/s]
Loading 0:  24%|██▎       | 69/291 [00:01<00:04, 47.14it/s]
Loading 0:  26%|██▌       | 76/291 [00:01<00:04, 51.15it/s]
Loading 0:  28%|██▊       | 82/291 [00:01<00:04, 47.29it/s]
Loading 0:  30%|██▉       | 87/291 [00:01<00:06, 32.50it/s]
Loading 0:  32%|███▏      | 94/291 [00:02<00:05, 38.99it/s]
Loading 0:  34%|███▍      | 100/291 [00:02<00:04, 39.41it/s]
Loading 0:  36%|███▌      | 105/291 [00:02<00:04, 40.61it/s]
Loading 0:  38%|███▊      | 112/291 [00:02<00:03, 46.55it/s]
Loading 0:  41%|████      | 118/291 [00:02<00:03, 43.58it/s]
Loading 0:  42%|████▏     | 123/291 [00:02<00:03, 43.59it/s]
Loading 0:  44%|████▍     | 129/291 [00:02<00:03, 46.92it/s]
Loading 0:  46%|████▌     | 134/291 [00:02<00:03, 45.70it/s]
Loading 0:  48%|████▊     | 139/291 [00:03<00:03, 46.24it/s]
Loading 0:  50%|████▉     | 145/291 [00:03<00:03, 43.40it/s]
Loading 0:  52%|█████▏    | 150/291 [00:03<00:03, 41.89it/s]
Loading 0:  54%|█████▍    | 157/291 [00:03<00:02, 47.30it/s]
Loading 0:  56%|█████▌    | 163/291 [00:03<00:02, 44.75it/s]
Loading 0:  58%|█████▊    | 168/291 [00:03<00:02, 42.95it/s]
Loading 0:  59%|█████▉    | 173/291 [00:03<00:02, 44.06it/s]
Loading 0:  62%|██████▏   | 180/291 [00:03<00:02, 49.05it/s]
Loading 0:  64%|██████▍   | 186/291 [00:04<00:02, 45.63it/s]
Loading 0:  66%|██████▌   | 191/291 [00:04<00:02, 34.05it/s]
Loading 0:  67%|██████▋   | 195/291 [00:04<00:02, 33.86it/s]
Loading 0:  69%|██████▉   | 201/291 [00:04<00:02, 39.48it/s]
Loading 0:  71%|███████   | 206/291 [00:04<00:02, 41.51it/s]
Loading 0:  73%|███████▎  | 211/291 [00:04<00:01, 43.10it/s]
Loading 0:  75%|███████▍  | 217/291 [00:04<00:01, 41.69it/s]
Loading 0:  76%|███████▋  | 222/291 [00:05<00:01, 42.04it/s]
Loading 0:  79%|███████▊  | 229/291 [00:05<00:01, 47.64it/s]
Loading 0:  81%|████████  | 235/291 [00:05<00:01, 45.69it/s]
Loading 0:  82%|████████▏ | 240/291 [00:05<00:01, 45.93it/s]
Loading 0:  85%|████████▍ | 247/291 [00:05<00:00, 49.80it/s]
Loading 0:  87%|████████▋ | 253/291 [00:05<00:00, 45.79it/s]
Loading 0:  89%|████████▊ | 258/291 [00:05<00:00, 45.95it/s]
Loading 0:  91%|█████████ | 265/291 [00:05<00:00, 50.60it/s]
Loading 0:  93%|█████████▎| 271/291 [00:06<00:00, 47.30it/s]
Loading 0:  95%|█████████▍| 276/291 [00:06<00:00, 46.79it/s]
Loading 0:  97%|█████████▋| 281/291 [00:06<00:00, 47.58it/s]
Loading 0:  98%|█████████▊| 286/291 [00:06<00:00, 42.18it/s]
Loading 0: 100%|██████████| 291/291 [00:11<00:00,  3.15it/s]
                                                            
/opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:957: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-ba-e-v2-c3-v1-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:785: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-ba-e-v2-c3-v1-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:469: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-ba-e-v2-c3-v1-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: Saving duration: 1.411s
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.093s
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ba-e-v2-c3-v1_reward
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v2-c3-v1_reward/config.json
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ba-e-v2-c3-v1_reward/special_tokens_map.json
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v2-c3-v1_reward/tokenizer_config.json
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ba-e-v2-c3-v1_reward/merges.txt
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ba-e-v2-c3-v1_reward/vocab.json
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ba-e-v2-c3-v1_reward/tokenizer.json
cycy233-l3-ba-e-v2-c3-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ba-e-v2-c3-v1_reward/reward.tensors
Job cycy233-l3-ba-e-v2-c3-v1-mkmlizer completed after 106.42s with status: succeeded
Stopping job with name cycy233-l3-ba-e-v2-c3-v1-mkmlizer
Pipeline stage MKMLizer completed in 107.45s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ba-e-v2-c3-v1
Waiting for inference service cycy233-l3-ba-e-v2-c3-v1 to be ready
Inference service cycy233-l3-ba-e-v2-c3-v1 ready after 80.75077843666077s
Pipeline stage ISVCDeployer completed in 82.21s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2580864429473877s
Received healthy response to inference request in 1.4921996593475342s
Received healthy response to inference request in 1.4383974075317383s
Received healthy response to inference request in 1.4153010845184326s
Received healthy response to inference request in 1.472275972366333s
5 requests
0 failed requests
5th percentile: 1.4199203491210937
10th percentile: 1.424539613723755
20th percentile: 1.4337781429290772
30th percentile: 1.4451731204986573
40th percentile: 1.4587245464324952
50th percentile: 1.472275972366333
60th percentile: 1.4802454471588136
70th percentile: 1.488214921951294
80th percentile: 1.645377016067505
90th percentile: 1.9517317295074463
95th percentile: 2.104909086227417
99th percentile: 2.2274509716033934
mean time: 1.6152521133422852
Pipeline stage StressChecker completed in 9.16s
cycy233-l3-ba-e-v2-c3_v1 status is now deployed due to DeploymentManager action
cycy233-l3-ba-e-v2-c3_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-ba-e-v2-c3_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-ba-e-v2-c3-v1 is running
Tearing down inference service cycy233-l3-ba-e-v2-c3-v1
Service cycy233-l3-ba-e-v2-c3-v1 has been torndown
Pipeline stage ISVCDeleter completed in 4.74s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v2-c3-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v2-c3-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v2-c3-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v2-c3-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v2-c3-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v2-c3-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v2-c3-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v2-c3-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v2-c3-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v2-c3-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v2-c3-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v2-c3-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.65s
cycy233-l3-ba-e-v2-c3_v1 status is now torndown due to DeploymentManager action