cycy233-l3-ba-e-v0-c1

submission_id: cycy233-l3-ba-e-v0-c1_v4

developer_uid: shiroe40

best_of: 16

celo_rating: 1252.51

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': 0.95, 'top_p': 0.95, '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-v0-c1

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: cycy233/L3-ba-e-v0-c1

model_name: auto

model_num_parameters: 8030261248.0

model_repo: cycy233/L3-ba-e-v0-c1

model_size: 8B

num_battles: 40384

num_wins: 24665

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: 2024-07-25T13:07:39+00:00

us_pacific_date: 2024-07-25

win_ratio: 0.6107616877971473

Resubmit model

Running pipeline stage MKMLizer
Starting job with name cycy233-l3-ba-e-v0-c1-v4-mkmlizer
Waiting for job on cycy233-l3-ba-e-v0-c1-v4-mkmlizer to finish
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║       /___/                                                         ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║  Version: 0.9.7                                                     ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: Downloaded to shared memory in 25.343s
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmphl78p0xp, device:0
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission cycy233-l3-ba-e-v0-c2_v1: ('http://cycy233-l3-ba-e-v0-c2-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:52562->127.0.0.1:8080: read: connection reset by peer\n')
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: quantized model in 27.199s
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: Processed model cycy233/L3-ba-e-v0-c1 in 52.542s
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c1-v4
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c1-v4/config.json
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c1-v4/special_tokens_map.json
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c1-v4/tokenizer_config.json
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c1-v4/tokenizer.json
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c1-v4/flywheel_model.0.safetensors
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:07, 36.98it/s]
Loading 0:   5%|▍         | 14/291 [00:00<00:05, 49.21it/s]
Loading 0:   8%|▊         | 23/291 [00:00<00:05, 52.80it/s]
Loading 0:  11%|█         | 32/291 [00:00<00:04, 55.44it/s]
Loading 0:  14%|█▍        | 41/291 [00:00<00:04, 54.16it/s]
Loading 0:  17%|█▋        | 49/291 [00:00<00:04, 60.31it/s]
Loading 0:  19%|█▉        | 56/291 [00:01<00:04, 56.64it/s]
Loading 0:  21%|██▏       | 62/291 [00:01<00:04, 55.09it/s]
Loading 0:  23%|██▎       | 68/291 [00:01<00:04, 48.77it/s]
Loading 0:  26%|██▌       | 76/291 [00:01<00:03, 55.80it/s]
Loading 0:  28%|██▊       | 82/291 [00:01<00:04, 51.58it/s]
Loading 0:  30%|███       | 88/291 [00:01<00:05, 36.25it/s]
Loading 0:  33%|███▎      | 95/291 [00:02<00:05, 37.65it/s]
Loading 0:  35%|███▌      | 103/291 [00:02<00:04, 45.86it/s]
Loading 0:  37%|███▋      | 109/291 [00:02<00:03, 46.47it/s]
Loading 0:  40%|███▉      | 115/291 [00:02<00:03, 48.94it/s]
Loading 0:  42%|████▏     | 121/291 [00:02<00:03, 51.54it/s]
Loading 0:  44%|████▎     | 127/291 [00:02<00:03, 47.29it/s]
Loading 0:  46%|████▌     | 133/291 [00:02<00:03, 48.53it/s]
Loading 0:  48%|████▊     | 139/291 [00:02<00:03, 50.60it/s]
Loading 0:  50%|████▉     | 145/291 [00:02<00:03, 46.37it/s]
Loading 0:  52%|█████▏    | 150/291 [00:03<00:03, 45.88it/s]
Loading 0:  54%|█████▍    | 157/291 [00:03<00:02, 50.96it/s]
Loading 0:  56%|█████▌    | 163/291 [00:03<00:02, 44.72it/s]
Loading 0:  58%|█████▊    | 168/291 [00:03<00:02, 43.49it/s]
Loading 0:  59%|█████▉    | 173/291 [00:03<00:02, 44.93it/s]
Loading 0:  62%|██████▏   | 180/291 [00:03<00:02, 50.01it/s]
Loading 0:  64%|██████▍   | 186/291 [00:03<00:02, 47.79it/s]
Loading 0:  66%|██████▌   | 191/291 [00:04<00:02, 33.38it/s]
Loading 0:  67%|██████▋   | 195/291 [00:04<00:02, 32.98it/s]
Loading 0:  69%|██████▉   | 202/291 [00:04<00:02, 39.80it/s]
Loading 0:  71%|███████▏  | 208/291 [00:04<00:02, 39.97it/s]
Loading 0:  73%|███████▎  | 213/291 [00:04<00:01, 42.06it/s]
Loading 0:  76%|███████▌  | 220/291 [00:04<00:01, 47.69it/s]
Loading 0:  78%|███████▊  | 226/291 [00:04<00:01, 47.92it/s]
Loading 0:  79%|███████▉  | 231/291 [00:04<00:01, 47.58it/s]
Loading 0:  82%|████████▏ | 239/291 [00:05<00:01, 47.54it/s]
Loading 0:  85%|████████▍ | 246/291 [00:05<00:00, 52.47it/s]
Loading 0:  87%|████████▋ | 252/291 [00:05<00:00, 53.15it/s]
Loading 0:  89%|████████▊ | 258/291 [00:05<00:00, 46.37it/s]
Loading 0:  91%|█████████ | 265/291 [00:05<00:00, 50.34it/s]
Loading 0:  93%|█████████▎| 271/291 [00:05<00:00, 45.21it/s]
Loading 0:  95%|█████████▍| 276/291 [00:05<00:00, 43.42it/s]
Loading 0:  97%|█████████▋| 281/291 [00:06<00:00, 44.73it/s]
Loading 0:  98%|█████████▊| 286/291 [00:06<00:00, 39.77it/s]
Loading 0: 100%|██████████| 291/291 [00:11<00:00,  3.01it/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-v4-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v0-c1-v4-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-v4-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v0-c1-v4-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-v4-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: Saving duration: 1.490s
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.136s
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c1-v4_reward
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c1-v4_reward/special_tokens_map.json
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c1-v4_reward/tokenizer_config.json
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c1-v4_reward/config.json
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c1-v4_reward/merges.txt
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c1-v4_reward/vocab.json
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c1-v4_reward/tokenizer.json
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
cycy233-l3-ba-e-v0-c1-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c1-v4_reward/reward.tensors
Job cycy233-l3-ba-e-v0-c1-v4-mkmlizer completed after 94.23s with status: succeeded
Stopping job with name cycy233-l3-ba-e-v0-c1-v4-mkmlizer
Pipeline stage MKMLizer completed in 95.18s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ba-e-v0-c1-v4
Waiting for inference service cycy233-l3-ba-e-v0-c1-v4 to be ready
Inference service cycy233-l3-ba-e-v0-c1-v4 ready after 60.96067810058594s
Pipeline stage ISVCDeployer completed in 62.56s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.353257179260254s
Received healthy response to inference request in 1.4701943397521973s
Received healthy response to inference request in 1.430095911026001s
Received healthy response to inference request in 1.3004686832427979s
Received healthy response to inference request in 1.4702234268188477s
5 requests
0 failed requests
5th percentile: 1.3263941287994385
10th percentile: 1.3523195743560792
20th percentile: 1.4041704654693603
30th percentile: 1.4381155967712402
40th percentile: 1.4541549682617188
50th percentile: 1.4701943397521973
60th percentile: 1.4702059745788574
70th percentile: 1.4702176094055175
80th percentile: 1.646830177307129
90th percentile: 2.0000436782836917
95th percentile: 2.1766504287719726
99th percentile: 2.3179358291625975
mean time: 1.6048479080200195
Pipeline stage StressChecker completed in 8.70s
cycy233-l3-ba-e-v0-c1_v4 status is now deployed due to DeploymentManager action
cycy233-l3-ba-e-v0-c1_v4 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-ba-e-v0-c1_v4
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-ba-e-v0-c1-v4 is running
Tearing down inference service cycy233-l3-ba-e-v0-c1-v4
Service cycy233-l3-ba-e-v0-c1-v4 has been torndown
Pipeline stage ISVCDeleter completed in 5.17s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v0-c1-v4/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v0-c1-v4/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v0-c1-v4/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v0-c1-v4/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v0-c1-v4/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v0-c1-v4_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c1-v4_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c1-v4_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c1-v4_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c1-v4_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c1-v4_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c1-v4_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.86s
cycy233-l3-ba-e-v0-c1_v4 status is now torndown due to DeploymentManager action