cycy233-l3-ba-e-v3-c5

submission_id: cycy233-l3-ba-e-v3-c5_v1

developer_uid: shiroe40

best_of: 16

celo_rating: 1242.32

display_name: auto

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': 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}

is_internal_developer: False

language_model: cycy233/L3-ba-e-v3-c5

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: cycy233/L3-ba-e-v3-c5

model_name: auto

model_num_parameters: 8030261248.0

model_repo: cycy233/L3-ba-e-v3-c5

model_size: 8B

num_battles: 10468

num_wins: 5618

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/gpt2_xl_pairwise_89m_step_347634

status: torndown

submission_type: basic

timestamp: 2024-07-26T15:05:51+00:00

us_pacific_date: 2024-07-26

win_ratio: 0.5366832250668705

Resubmit model

Running pipeline stage MKMLizer
Starting job with name cycy233-l3-ba-e-v3-c5-v1-mkmlizer
Waiting for job on cycy233-l3-ba-e-v3-c5-v1-mkmlizer to finish
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║  Version: 0.9.7                                                     ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: Downloaded to shared memory in 35.869s
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5bssyv0d, device:0
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: quantized model in 31.556s
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: Processed model cycy233/L3-ba-e-v3-c5 in 67.425s
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ba-e-v3-c5-v1
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v3-c5-v1/config.json
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v3-c5-v1/special_tokens_map.json
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v3-c5-v1/tokenizer_config.json
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v3-c5-v1/tokenizer.json
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:09, 29.33it/s]
Loading 0:   3%|▎         | 10/291 [00:00<00:07, 38.08it/s]
Loading 0:   5%|▌         | 15/291 [00:00<00:07, 37.34it/s]
Loading 0:   7%|▋         | 19/291 [00:00<00:07, 37.82it/s]
Loading 0:   8%|▊         | 23/291 [00:00<00:07, 34.36it/s]
Loading 0:  10%|█         | 30/291 [00:00<00:05, 44.32it/s]
Loading 0:  12%|█▏        | 35/291 [00:00<00:05, 42.86it/s]
Loading 0:  14%|█▎        | 40/291 [00:01<00:06, 41.50it/s]
Loading 0:  15%|█▌        | 45/291 [00:01<00:05, 42.56it/s]
Loading 0:  17%|█▋        | 50/291 [00:01<00:07, 34.22it/s]
Loading 0:  19%|█▉        | 55/291 [00:01<00:06, 37.60it/s]
Loading 0:  21%|██        | 60/291 [00:01<00:06, 37.24it/s]
Loading 0:  23%|██▎       | 66/291 [00:01<00:05, 41.93it/s]
Loading 0:  24%|██▍       | 71/291 [00:01<00:05, 39.52it/s]
Loading 0:  26%|██▌       | 76/291 [00:01<00:05, 40.10it/s]
Loading 0:  28%|██▊       | 81/291 [00:02<00:05, 40.37it/s]
Loading 0:  30%|██▉       | 86/291 [00:02<00:09, 21.66it/s]
Loading 0:  31%|███▏      | 91/291 [00:02<00:07, 25.74it/s]
Loading 0:  33%|███▎      | 95/291 [00:02<00:07, 26.47it/s]
Loading 0:  34%|███▍      | 100/291 [00:02<00:06, 30.58it/s]
Loading 0:  36%|███▌      | 104/291 [00:03<00:06, 29.86it/s]
Loading 0:  37%|███▋      | 109/291 [00:03<00:05, 33.90it/s]
Loading 0:  39%|███▉      | 113/291 [00:03<00:05, 32.33it/s]
Loading 0:  41%|████      | 120/291 [00:03<00:04, 39.63it/s]
Loading 0:  43%|████▎     | 125/291 [00:03<00:04, 38.72it/s]
Loading 0:  45%|████▍     | 130/291 [00:03<00:04, 37.44it/s]
Loading 0:  46%|████▌     | 134/291 [00:03<00:04, 36.65it/s]
Loading 0:  47%|████▋     | 138/291 [00:03<00:04, 36.07it/s]
Loading 0:  49%|████▉     | 142/291 [00:04<00:04, 32.96it/s]
Loading 0:  51%|█████     | 147/291 [00:04<00:03, 36.85it/s]
Loading 0:  52%|█████▏    | 151/291 [00:04<00:03, 35.11it/s]
Loading 0:  54%|█████▎    | 156/291 [00:04<00:03, 38.27it/s]
Loading 0:  55%|█████▍    | 160/291 [00:04<00:03, 36.13it/s]
Loading 0:  57%|█████▋    | 165/291 [00:04<00:03, 38.90it/s]
Loading 0:  58%|█████▊    | 169/291 [00:04<00:03, 36.84it/s]
Loading 0:  59%|█████▉    | 173/291 [00:04<00:03, 36.15it/s]
Loading 0:  61%|██████    | 177/291 [00:04<00:03, 36.56it/s]
Loading 0:  62%|██████▏   | 181/291 [00:05<00:03, 33.15it/s]
Loading 0:  64%|██████▍   | 186/291 [00:05<00:02, 36.80it/s]
Loading 0:  65%|██████▌   | 190/291 [00:05<00:05, 18.65it/s]
Loading 0:  67%|██████▋   | 194/291 [00:05<00:04, 19.62it/s]
Loading 0:  68%|██████▊   | 199/291 [00:06<00:03, 24.51it/s]
Loading 0:  70%|██████▉   | 203/291 [00:06<00:03, 25.71it/s]
Loading 0:  72%|███████▏  | 209/291 [00:06<00:02, 32.70it/s]
Loading 0:  74%|███████▎  | 214/291 [00:06<00:02, 33.59it/s]
Loading 0:  75%|███████▌  | 219/291 [00:06<00:01, 36.90it/s]
Loading 0:  77%|███████▋  | 224/291 [00:06<00:01, 37.75it/s]
Loading 0:  79%|███████▊  | 229/291 [00:06<00:01, 37.68it/s]
Loading 0:  80%|████████  | 234/291 [00:06<00:01, 39.39it/s]
Loading 0:  82%|████████▏ | 239/291 [00:07<00:01, 32.60it/s]
Loading 0:  85%|████████▍ | 246/291 [00:07<00:01, 40.19it/s]
Loading 0:  86%|████████▋ | 251/291 [00:07<00:01, 39.59it/s]
Loading 0:  88%|████████▊ | 256/291 [00:07<00:00, 39.33it/s]
Loading 0:  90%|████████▉ | 261/291 [00:07<00:00, 40.06it/s]
Loading 0:  91%|█████████▏| 266/291 [00:07<00:00, 32.95it/s]
Loading 0:  94%|█████████▍| 273/291 [00:07<00:00, 39.36it/s]
Loading 0:  96%|█████████▌| 278/291 [00:08<00:00, 38.77it/s]
Loading 0:  97%|█████████▋| 283/291 [00:08<00:00, 32.82it/s]
Loading 0:  99%|█████████▊| 287/291 [00:14<00:01,  2.62it/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-v3-c5-v1-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v3-c5-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-v3-c5-v1-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v3-c5-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-v3-c5-v1-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: Saving duration: 2.181s
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 15.287s
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ba-e-v3-c5-v1_reward
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ba-e-v3-c5-v1_reward/special_tokens_map.json
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v3-c5-v1_reward/config.json
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v3-c5-v1_reward/tokenizer_config.json
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ba-e-v3-c5-v1_reward/merges.txt
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ba-e-v3-c5-v1_reward/vocab.json
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ba-e-v3-c5-v1_reward/tokenizer.json
cycy233-l3-ba-e-v3-c5-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ba-e-v3-c5-v1_reward/reward.tensors
Job cycy233-l3-ba-e-v3-c5-v1-mkmlizer completed after 117.12s with status: succeeded
Stopping job with name cycy233-l3-ba-e-v3-c5-v1-mkmlizer
Pipeline stage MKMLizer completed in 118.03s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ba-e-v3-c5-v1
Waiting for inference service cycy233-l3-ba-e-v3-c5-v1 to be ready
Inference service cycy233-l3-ba-e-v3-c5-v1 ready after 81.09421586990356s
Pipeline stage ISVCDeployer completed in 82.51s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2503902912139893s
Received healthy response to inference request in 1.4524972438812256s
Received healthy response to inference request in 1.4401483535766602s
Received healthy response to inference request in 1.42138671875s
Received healthy response to inference request in 1.4828660488128662s
5 requests
0 failed requests
5th percentile: 1.4251390457153321
10th percentile: 1.428891372680664
20th percentile: 1.436396026611328
30th percentile: 1.4426181316375732
40th percentile: 1.4475576877593994
50th percentile: 1.4524972438812256
60th percentile: 1.464644765853882
70th percentile: 1.476792287826538
80th percentile: 1.636370897293091
90th percentile: 1.94338059425354
95th percentile: 2.0968854427337646
99th percentile: 2.2196893215179445
mean time: 1.6094577312469482
Pipeline stage StressChecker completed in 8.74s
cycy233-l3-ba-e-v3-c5_v1 status is now deployed due to DeploymentManager action
cycy233-l3-ba-e-v3-c5_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-ba-e-v3-c5_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-ba-e-v3-c5-v1 is running
Tearing down inference service cycy233-l3-ba-e-v3-c5-v1
Service cycy233-l3-ba-e-v3-c5-v1 has been torndown
Pipeline stage ISVCDeleter completed in 4.35s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v3-c5-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v3-c5-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v3-c5-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v3-c5-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v3-c5-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v3-c5-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v3-c5-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v3-c5-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v3-c5-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v3-c5-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v3-c5-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v3-c5-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.05s
cycy233-l3-ba-e-v3-c5_v1 status is now torndown due to DeploymentManager action