cycy233-l3-ba-e-v6-c1

developer_uid: shiroe40

submission_id: cycy233-l3-ba-e-v6-c1_v2

model_name: auto

model_group: cycy233/L3-ba-e-v6-c1

status: torndown

timestamp: 2024-07-28T02:02:12+00:00

num_battles: 10976

num_wins: 6092

celo_rating: 1252.01

family_friendly_score: 0.0

submission_type: basic

model_repo: cycy233/L3-ba-e-v6-c1

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-v6-c1

model_size: 8B

ranking_group: single

us_pacific_date: 2024-07-27

win_ratio: 0.5550291545189504

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-v6-c1-v2-mkmlizer
Waiting for job on cycy233-l3-ba-e-v6-c1-v2-mkmlizer to finish
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║       /___/                                                         ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║  Version: 0.9.7                                                     ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: Downloaded to shared memory in 22.632s
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpporr70b5, device:0
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: quantized model in 26.268s
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: Processed model cycy233/L3-ba-e-v6-c1 in 48.900s
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ba-e-v6-c1-v2
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v6-c1-v2/special_tokens_map.json
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v6-c1-v2/config.json
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v6-c1-v2/tokenizer_config.json
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v6-c1-v2/tokenizer.json
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ba-e-v6-c1-v2/flywheel_model.0.safetensors
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:07, 35.76it/s]
Loading 0:   5%|▍         | 14/291 [00:00<00:05, 47.26it/s]
Loading 0:   8%|▊         | 23/291 [00:00<00:05, 50.23it/s]
Loading 0:  11%|█         | 32/291 [00:00<00:05, 51.54it/s]
Loading 0:  14%|█▍        | 41/291 [00:00<00:04, 52.15it/s]
Loading 0:  17%|█▋        | 50/291 [00:00<00:04, 52.49it/s]
Loading 0:  20%|██        | 59/291 [00:01<00:04, 52.82it/s]
Loading 0:  23%|██▎       | 67/291 [00:01<00:03, 57.56it/s]
Loading 0:  25%|██▌       | 73/291 [00:01<00:04, 52.61it/s]
Loading 0:  27%|██▋       | 79/291 [00:01<00:04, 52.29it/s]
Loading 0:  29%|██▉       | 85/291 [00:01<00:05, 38.34it/s]
Loading 0:  31%|███▏      | 91/291 [00:01<00:05, 38.67it/s]
Loading 0:  33%|███▎      | 96/291 [00:02<00:04, 40.67it/s]
Loading 0:  35%|███▌      | 103/291 [00:02<00:03, 47.01it/s]
Loading 0:  37%|███▋      | 109/291 [00:02<00:03, 45.62it/s]
Loading 0:  39%|███▉      | 114/291 [00:02<00:03, 46.07it/s]
Loading 0:  42%|████▏     | 121/291 [00:02<00:03, 51.37it/s]
Loading 0:  44%|████▎     | 127/291 [00:02<00:03, 48.33it/s]
Loading 0:  46%|████▌     | 133/291 [00:02<00:03, 47.82it/s]
Loading 0:  48%|████▊     | 139/291 [00:02<00:03, 50.45it/s]
Loading 0:  50%|████▉     | 145/291 [00:03<00:03, 47.94it/s]
Loading 0:  52%|█████▏    | 150/291 [00:03<00:02, 47.43it/s]
Loading 0:  54%|█████▍    | 157/291 [00:03<00:02, 53.03it/s]
Loading 0:  56%|█████▌    | 163/291 [00:03<00:02, 49.60it/s]
Loading 0:  58%|█████▊    | 169/291 [00:03<00:02, 50.38it/s]
Loading 0:  60%|██████    | 175/291 [00:03<00:02, 52.79it/s]
Loading 0:  62%|██████▏   | 181/291 [00:03<00:02, 44.20it/s]
Loading 0:  64%|██████▍   | 187/291 [00:04<00:02, 35.87it/s]
Loading 0:  66%|██████▌   | 192/291 [00:04<00:02, 37.58it/s]
Loading 0:  68%|██████▊   | 198/291 [00:04<00:02, 42.39it/s]
Loading 0:  70%|██████▉   | 203/291 [00:04<00:02, 38.84it/s]
Loading 0:  73%|███████▎  | 211/291 [00:04<00:01, 47.74it/s]
Loading 0:  75%|███████▍  | 217/291 [00:04<00:01, 45.88it/s]
Loading 0:  76%|███████▋  | 222/291 [00:04<00:01, 45.10it/s]
Loading 0:  78%|███████▊  | 228/291 [00:04<00:01, 48.54it/s]
Loading 0:  80%|████████  | 234/291 [00:04<00:01, 50.56it/s]
Loading 0:  82%|████████▏ | 240/291 [00:05<00:01, 44.93it/s]
Loading 0:  85%|████████▍ | 247/291 [00:05<00:00, 50.00it/s]
Loading 0:  87%|████████▋ | 253/291 [00:05<00:00, 47.44it/s]
Loading 0:  89%|████████▊ | 258/291 [00:05<00:00, 47.18it/s]
Loading 0:  91%|█████████ | 265/291 [00:05<00:00, 52.39it/s]
Loading 0:  93%|█████████▎| 271/291 [00:05<00:00, 48.51it/s]
Loading 0:  95%|█████████▌| 277/291 [00:05<00:00, 49.84it/s]
Loading 0:  97%|█████████▋| 283/291 [00:06<00:00, 45.59it/s]
Loading 0:  99%|█████████▉| 288/291 [00:11<00:00,  3.39it/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-v6-c1-v2-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v6-c1-v2-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-v6-c1-v2-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v6-c1-v2-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-v6-c1-v2-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: Saving duration: 1.393s
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.027s
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ba-e-v6-c1-v2_reward
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v6-c1-v2_reward/config.json
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ba-e-v6-c1-v2_reward/special_tokens_map.json
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v6-c1-v2_reward/tokenizer_config.json
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ba-e-v6-c1-v2_reward/merges.txt
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ba-e-v6-c1-v2_reward/vocab.json
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ba-e-v6-c1-v2_reward/tokenizer.json
cycy233-l3-ba-e-v6-c1-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ba-e-v6-c1-v2_reward/reward.tensors
Job cycy233-l3-ba-e-v6-c1-v2-mkmlizer completed after 95.0s with status: succeeded
Stopping job with name cycy233-l3-ba-e-v6-c1-v2-mkmlizer
Pipeline stage MKMLizer completed in 95.91s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ba-e-v6-c1-v2
Waiting for inference service cycy233-l3-ba-e-v6-c1-v2 to be ready
Inference service cycy233-l3-ba-e-v6-c1-v2 ready after 100.95626878738403s
Pipeline stage ISVCDeployer completed in 102.76s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.231046199798584s
Received healthy response to inference request in 1.4555659294128418s
Received healthy response to inference request in 1.4426918029785156s
Received healthy response to inference request in 1.3987843990325928s
Received healthy response to inference request in 1.4402565956115723s
5 requests
0 failed requests
5th percentile: 1.4070788383483888
10th percentile: 1.4153732776641845
20th percentile: 1.4319621562957763
30th percentile: 1.440743637084961
40th percentile: 1.4417177200317384
50th percentile: 1.4426918029785156
60th percentile: 1.4478414535522461
70th percentile: 1.4529911041259767
80th percentile: 1.6106619834899905
90th percentile: 1.920854091644287
95th percentile: 2.0759501457214355
99th percentile: 2.2000269889831543
mean time: 1.5936689853668213
Pipeline stage StressChecker completed in 8.65s
cycy233-l3-ba-e-v6-c1_v2 status is now deployed due to DeploymentManager action
cycy233-l3-ba-e-v6-c1_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-ba-e-v6-c1_v2
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-ba-e-v6-c1-v2 is running
Tearing down inference service cycy233-l3-ba-e-v6-c1-v2
Service cycy233-l3-ba-e-v6-c1-v2 has been torndown
Pipeline stage ISVCDeleter completed in 4.09s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v6-c1-v2/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v6-c1-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v6-c1-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v6-c1-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v6-c1-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v6-c1-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v6-c1-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v6-c1-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v6-c1-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v6-c1-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v6-c1-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v6-c1-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.70s
cycy233-l3-ba-e-v6-c1_v2 status is now torndown due to DeploymentManager action