developer_uid: shiroe40
submission_id: cycy233-l3-ba-e-v0-c1_v12
model_name: auto
model_group: cycy233/L3-ba-e-v0-c1
status: torndown
timestamp: 2024-07-29T02:21:46+00:00
num_battles: 10128
num_wins: 5352
celo_rating: 1236.72
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-ba-e-v0-c1
model_architecture: LlamaForCausalLM
reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 8030261248.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: auto
is_internal_developer: False
language_model: cycy233/L3-ba-e-v0-c1
model_size: 8B
ranking_group: single
us_pacific_date: 2024-07-28
win_ratio: 0.5284360189573459
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 4, '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-v0-c1-v12-mkmlizer
Waiting for job on cycy233-l3-ba-e-v0-c1-v12-mkmlizer to finish
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║       /___/                                                         ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║  Version: 0.9.7                                                     ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: Downloaded to shared memory in 28.715s
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpjqdzr0bb, device:0
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: quantized model in 25.530s
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: Processed model cycy233/L3-ba-e-v0-c1 in 54.246s
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c1-v12
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c1-v12/special_tokens_map.json
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c1-v12/config.json
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c1-v12/tokenizer_config.json
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c1-v12/tokenizer.json
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c1-v12/flywheel_model.0.safetensors
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:07, 38.17it/s]
Loading 0:   5%|▍         | 14/291 [00:00<00:05, 49.08it/s]
Loading 0:   8%|▊         | 23/291 [00:00<00:05, 51.34it/s]
Loading 0:  11%|█         | 32/291 [00:00<00:04, 52.54it/s]
Loading 0:  14%|█▍        | 41/291 [00:00<00:04, 52.71it/s]
Loading 0:  17%|█▋        | 49/291 [00:00<00:04, 59.13it/s]
Loading 0:  19%|█▉        | 56/291 [00:01<00:04, 56.68it/s]
Loading 0:  21%|██▏       | 62/291 [00:01<00:04, 55.43it/s]
Loading 0:  23%|██▎       | 68/291 [00:01<00:04, 48.47it/s]
Loading 0:  26%|██▌       | 76/291 [00:01<00:03, 55.57it/s]
Loading 0:  28%|██▊       | 82/291 [00:01<00:04, 51.55it/s]
Loading 0:  30%|███       | 88/291 [00:01<00:05, 36.59it/s]
Loading 0:  32%|███▏      | 94/291 [00:01<00:04, 40.76it/s]
Loading 0:  34%|███▍      | 100/291 [00:02<00:04, 39.45it/s]
Loading 0:  36%|███▌      | 105/291 [00:02<00:04, 40.74it/s]
Loading 0:  38%|███▊      | 112/291 [00:02<00:03, 47.09it/s]
Loading 0:  41%|████      | 118/291 [00:02<00:03, 46.19it/s]
Loading 0:  42%|████▏     | 123/291 [00:02<00:03, 46.05it/s]
Loading 0:  45%|████▍     | 130/291 [00:02<00:03, 51.15it/s]
Loading 0:  47%|████▋     | 136/291 [00:02<00:03, 47.57it/s]
Loading 0:  48%|████▊     | 141/291 [00:02<00:03, 46.97it/s]
Loading 0:  51%|█████     | 148/291 [00:03<00:02, 50.87it/s]
Loading 0:  53%|█████▎    | 154/291 [00:03<00:02, 47.84it/s]
Loading 0:  55%|█████▍    | 159/291 [00:03<00:02, 46.45it/s]
Loading 0:  57%|█████▋    | 165/291 [00:03<00:02, 49.59it/s]
Loading 0:  59%|█████▉    | 171/291 [00:03<00:02, 51.22it/s]
Loading 0:  61%|██████    | 177/291 [00:03<00:02, 46.71it/s]
Loading 0:  63%|██████▎   | 182/291 [00:03<00:02, 45.73it/s]
Loading 0:  64%|██████▍   | 187/291 [00:04<00:03, 34.25it/s]
Loading 0:  66%|██████▌   | 192/291 [00:04<00:02, 36.71it/s]
Loading 0:  68%|██████▊   | 198/291 [00:04<00:02, 41.75it/s]
Loading 0:  70%|██████▉   | 203/291 [00:04<00:02, 37.08it/s]
Loading 0:  73%|███████▎  | 211/291 [00:04<00:01, 45.40it/s]
Loading 0:  75%|███████▍  | 217/291 [00:04<00:01, 44.20it/s]
Loading 0:  76%|███████▋  | 222/291 [00:04<00:01, 43.59it/s]
Loading 0:  79%|███████▊  | 229/291 [00:04<00:01, 48.95it/s]
Loading 0:  81%|████████  | 235/291 [00:05<00:01, 46.44it/s]
Loading 0:  82%|████████▏ | 240/291 [00:05<00:01, 46.21it/s]
Loading 0:  85%|████████▍ | 247/291 [00:05<00:00, 49.82it/s]
Loading 0:  87%|████████▋ | 253/291 [00:05<00:00, 47.93it/s]
Loading 0:  89%|████████▊ | 258/291 [00:05<00:00, 47.01it/s]
Loading 0:  91%|█████████ | 265/291 [00:05<00:00, 50.79it/s]
Loading 0:  93%|█████████▎| 271/291 [00:05<00:00, 47.70it/s]
Loading 0:  95%|█████████▍| 276/291 [00:05<00:00, 46.99it/s]
Loading 0:  97%|█████████▋| 282/291 [00:06<00:00, 43.19it/s]
Loading 0:  99%|█████████▊| 287/291 [00:11<00:01,  3.31it/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-v0-c1-v12-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v0-c1-v12-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-v0-c1-v12-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v0-c1-v12-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-v0-c1-v12-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: Saving duration: 1.736s
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 12.095s
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c1-v12_reward
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c1-v12_reward/config.json
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c1-v12_reward/special_tokens_map.json
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c1-v12_reward/tokenizer_config.json
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c1-v12_reward/merges.txt
cycy233-l3-ba-e-v0-c1-v12-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c1-v12_reward/reward.tensors
Job cycy233-l3-ba-e-v0-c1-v12-mkmlizer completed after 95.85s with status: succeeded
Stopping job with name cycy233-l3-ba-e-v0-c1-v12-mkmlizer
Pipeline stage MKMLizer completed in 96.88s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ba-e-v0-c1-v12
Waiting for inference service cycy233-l3-ba-e-v0-c1-v12 to be ready
Inference service cycy233-l3-ba-e-v0-c1-v12 ready after 100.95743322372437s
Pipeline stage ISVCDeployer completed in 102.75s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9146790504455566s
Received healthy response to inference request in 1.1196441650390625s
Received healthy response to inference request in 1.1195542812347412s
Received healthy response to inference request in 1.0935137271881104s
Received healthy response to inference request in 1.13913893699646s
5 requests
0 failed requests
5th percentile: 1.0987218379974366
10th percentile: 1.1039299488067627
20th percentile: 1.114346170425415
30th percentile: 1.1195722579956056
40th percentile: 1.119608211517334
50th percentile: 1.1196441650390625
60th percentile: 1.1274420738220214
70th percentile: 1.1352399826049804
80th percentile: 1.2942469596862793
90th percentile: 1.604463005065918
95th percentile: 1.7595710277557373
99th percentile: 1.8836574459075928
mean time: 1.277306032180786
Pipeline stage StressChecker completed in 7.18s
cycy233-l3-ba-e-v0-c1_v12 status is now deployed due to DeploymentManager action
cycy233-l3-ba-e-v0-c1_v12 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-ba-e-v0-c1_v12
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-ba-e-v0-c1-v12 is running
Tearing down inference service cycy233-l3-ba-e-v0-c1-v12
Service cycy233-l3-ba-e-v0-c1-v12 has been torndown
Pipeline stage ISVCDeleter completed in 5.00s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v0-c1-v12/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v0-c1-v12/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v0-c1-v12/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v0-c1-v12/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v0-c1-v12/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v0-c1-v12_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c1-v12_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c1-v12_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c1-v12_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c1-v12_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c1-v12_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c1-v12_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.44s
cycy233-l3-ba-e-v0-c1_v12 status is now torndown due to DeploymentManager action