cycy233-l3-ba-e-r-c2

developer_uid: shiroe40

submission_id: cycy233-l3-ba-e-r-c2_v1

model_name: auto

model_group: cycy233/L3-ba-e-r-c2

status: torndown

timestamp: 2024-08-02T10:43:42+00:00

num_battles: 11976

num_wins: 4706

celo_rating: 1126.53

family_friendly_score: 0.0

submission_type: basic

model_repo: cycy233/L3-ba-e-r-c2

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-r-c2

model_size: 8B

ranking_group: single

us_pacific_date: 2024-08-02

win_ratio: 0.39295257181028725

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-r-c2-v1-mkmlizer
Waiting for job on cycy233-l3-ba-e-r-c2-v1-mkmlizer to finish
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║  Version: 0.9.9                                                     ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-r-c2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ba-e-r-c2-v1-mkmlizer: Downloaded to shared memory in 33.480s
cycy233-l3-ba-e-r-c2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptsjtazw7, device:0
cycy233-l3-ba-e-r-c2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ba-e-r-c2-v1-mkmlizer: quantized model in 26.600s
cycy233-l3-ba-e-r-c2-v1-mkmlizer: Processed model cycy233/L3-ba-e-r-c2 in 60.080s
cycy233-l3-ba-e-r-c2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ba-e-r-c2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ba-e-r-c2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ba-e-r-c2-v1
cycy233-l3-ba-e-r-c2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ba-e-r-c2-v1/special_tokens_map.json
cycy233-l3-ba-e-r-c2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-r-c2-v1/config.json
cycy233-l3-ba-e-r-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-r-c2-v1/tokenizer_config.json
cycy233-l3-ba-e-r-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ba-e-r-c2-v1/tokenizer.json
cycy233-l3-ba-e-r-c2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ba-e-r-c2-v1/flywheel_model.0.safetensors
cycy233-l3-ba-e-r-c2-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ba-e-r-c2-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:07, 36.12it/s]
Loading 0:   4%|▍         | 13/291 [00:00<00:04, 57.62it/s]
Loading 0:   7%|▋         | 20/291 [00:00<00:05, 52.40it/s]
Loading 0:   9%|▉         | 26/291 [00:00<00:05, 52.52it/s]
Loading 0:  11%|█         | 32/291 [00:00<00:05, 44.75it/s]
Loading 0:  14%|█▎        | 40/291 [00:00<00:04, 53.31it/s]
Loading 0:  16%|█▌        | 46/291 [00:00<00:04, 49.62it/s]
Loading 0:  18%|█▊        | 52/291 [00:01<00:04, 51.10it/s]
Loading 0:  20%|█▉        | 58/291 [00:01<00:04, 52.64it/s]
Loading 0:  22%|██▏       | 64/291 [00:01<00:04, 48.59it/s]
Loading 0:  24%|██▍       | 70/291 [00:01<00:04, 49.79it/s]
Loading 0:  26%|██▌       | 76/291 [00:01<00:04, 52.07it/s]
Loading 0:  28%|██▊       | 82/291 [00:01<00:04, 47.37it/s]
Loading 0:  30%|██▉       | 87/291 [00:01<00:06, 30.92it/s]
Loading 0:  32%|███▏      | 94/291 [00:02<00:05, 37.43it/s]
Loading 0:  34%|███▍      | 100/291 [00:02<00:05, 37.99it/s]
Loading 0:  36%|███▌      | 105/291 [00:02<00:04, 39.04it/s]
Loading 0:  38%|███▊      | 111/291 [00:02<00:04, 43.73it/s]
Loading 0:  40%|███▉      | 116/291 [00:02<00:03, 44.57it/s]
Loading 0:  42%|████▏     | 121/291 [00:02<00:03, 45.30it/s]
Loading 0:  44%|████▎     | 127/291 [00:02<00:03, 42.99it/s]
Loading 0:  45%|████▌     | 132/291 [00:02<00:03, 42.51it/s]
Loading 0:  48%|████▊     | 139/291 [00:03<00:03, 47.64it/s]
Loading 0:  50%|████▉     | 145/291 [00:03<00:03, 44.60it/s]
Loading 0:  52%|█████▏    | 150/291 [00:03<00:03, 44.41it/s]
Loading 0:  54%|█████▎    | 156/291 [00:03<00:02, 48.29it/s]
Loading 0:  55%|█████▌    | 161/291 [00:03<00:02, 48.11it/s]
Loading 0:  57%|█████▋    | 166/291 [00:03<00:02, 47.98it/s]
Loading 0:  59%|█████▉    | 172/291 [00:03<00:02, 44.26it/s]
Loading 0:  61%|██████    | 177/291 [00:03<00:02, 44.51it/s]
Loading 0:  63%|██████▎   | 182/291 [00:04<00:02, 43.49it/s]
Loading 0:  64%|██████▍   | 187/291 [00:04<00:03, 31.55it/s]
Loading 0:  66%|██████▌   | 192/291 [00:04<00:02, 34.40it/s]
Loading 0:  68%|██████▊   | 197/291 [00:04<00:02, 37.66it/s]
Loading 0:  70%|██████▉   | 203/291 [00:04<00:02, 36.92it/s]
Loading 0:  73%|███████▎  | 211/291 [00:04<00:01, 45.62it/s]
Loading 0:  75%|███████▍  | 217/291 [00:04<00:01, 43.91it/s]
Loading 0:  76%|███████▋  | 222/291 [00:05<00:01, 43.68it/s]
Loading 0:  78%|███████▊  | 228/291 [00:05<00:01, 47.08it/s]
Loading 0:  80%|████████  | 233/291 [00:05<00:01, 46.75it/s]
Loading 0:  82%|████████▏ | 238/291 [00:05<00:01, 46.59it/s]
Loading 0:  84%|████████▍ | 244/291 [00:05<00:01, 44.47it/s]
Loading 0:  86%|████████▌ | 249/291 [00:05<00:01, 41.21it/s]
Loading 0:  88%|████████▊ | 256/291 [00:05<00:00, 46.97it/s]
Loading 0:  90%|█████████ | 262/291 [00:05<00:00, 45.28it/s]
Loading 0:  92%|█████████▏| 267/291 [00:06<00:00, 45.96it/s]
Loading 0:  94%|█████████▍| 274/291 [00:06<00:00, 51.47it/s]
Loading 0:  96%|█████████▌| 280/291 [00:06<00:00, 47.79it/s]
Loading 0:  98%|█████████▊| 285/291 [00:06<00:00, 47.41it/s]
Loading 0: 100%|█████████▉| 290/291 [00:11<00:00,  3.18it/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-r-c2-v1-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-r-c2-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-r-c2-v1-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-r-c2-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-r-c2-v1-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-r-c2-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ba-e-r-c2-v1-mkmlizer: Saving duration: 1.372s
cycy233-l3-ba-e-r-c2-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 10.949s
cycy233-l3-ba-e-r-c2-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ba-e-r-c2-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ba-e-r-c2-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ba-e-r-c2-v1_reward
cycy233-l3-ba-e-r-c2-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ba-e-r-c2-v1_reward/config.json
cycy233-l3-ba-e-r-c2-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ba-e-r-c2-v1_reward/special_tokens_map.json
cycy233-l3-ba-e-r-c2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ba-e-r-c2-v1_reward/tokenizer_config.json
cycy233-l3-ba-e-r-c2-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ba-e-r-c2-v1_reward/merges.txt
cycy233-l3-ba-e-r-c2-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ba-e-r-c2-v1_reward/vocab.json
cycy233-l3-ba-e-r-c2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ba-e-r-c2-v1_reward/tokenizer.json
Job cycy233-l3-ba-e-r-c2-v1-mkmlizer completed after 104.61s with status: succeeded
Stopping job with name cycy233-l3-ba-e-r-c2-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.80s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ba-e-r-c2-v1
Waiting for inference service cycy233-l3-ba-e-r-c2-v1 to be ready
Inference service cycy233-l3-ba-e-r-c2-v1 ready after 141.06750321388245s
Pipeline stage ISVCDeployer completed in 142.56s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3557143211364746s
Received healthy response to inference request in 1.4905805587768555s
Received healthy response to inference request in 1.4893431663513184s
Received healthy response to inference request in 1.4234626293182373s
Received healthy response to inference request in 1.493927001953125s
5 requests
0 failed requests
5th percentile: 1.4366387367248534
10th percentile: 1.4498148441314698
20th percentile: 1.4761670589447022
30th percentile: 1.4895906448364258
40th percentile: 1.4900856018066406
50th percentile: 1.4905805587768555
60th percentile: 1.4919191360473634
70th percentile: 1.493257713317871
80th percentile: 1.666284465789795
90th percentile: 2.010999393463135
95th percentile: 2.1833568572998043
99th percentile: 2.3212428283691406
mean time: 1.6506055355072022
Pipeline stage StressChecker completed in 8.92s
cycy233-l3-ba-e-r-c2_v1 status is now deployed due to DeploymentManager action
cycy233-l3-ba-e-r-c2_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-ba-e-r-c2_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-ba-e-r-c2-v1 is running
Tearing down inference service cycy233-l3-ba-e-r-c2-v1
Service cycy233-l3-ba-e-r-c2-v1 has been torndown
Pipeline stage ISVCDeleter completed in 4.90s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-r-c2-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-r-c2-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-r-c2-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-r-c2-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-r-c2-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-r-c2-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-r-c2-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-r-c2-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-r-c2-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-r-c2-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-r-c2-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-r-c2-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.52s
cycy233-l3-ba-e-r-c2_v1 status is now torndown due to DeploymentManager action