cycy233-l3-ba-e-v9-c1

submission_id: cycy233-l3-ba-e-v9-c1_v1

developer_uid: shiroe40

best_of: 16

celo_rating: 1257.31

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-v9-c1

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: cycy233/L3-ba-e-v9-c1

model_name: auto

model_num_parameters: 8030261248.0

model_repo: cycy233/L3-ba-e-v9-c1

model_size: 8B

num_battles: 12647

num_wins: 7184

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: 2024-07-28T14:27:40+00:00

us_pacific_date: 2024-07-28

win_ratio: 0.5680398513481458

Resubmit model

Running pipeline stage MKMLizer
Starting job with name cycy233-l3-ba-e-v9-c1-v1-mkmlizer
Waiting for job on cycy233-l3-ba-e-v9-c1-v1-mkmlizer to finish
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║  Version: 0.9.7                                                     ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: Downloaded to shared memory in 30.197s
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmphbj_w0pi, device:0
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: quantized model in 26.021s
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: Processed model cycy233/L3-ba-e-v9-c1 in 56.218s
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ba-e-v9-c1-v1
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v9-c1-v1/special_tokens_map.json
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v9-c1-v1/config.json
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v9-c1-v1/tokenizer_config.json
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v9-c1-v1/tokenizer.json
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ba-e-v9-c1-v1/flywheel_model.0.safetensors
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:08, 35.64it/s]
Loading 0:   4%|▍         | 13/291 [00:00<00:04, 57.18it/s]
Loading 0:   7%|▋         | 20/291 [00:00<00:05, 52.21it/s]
Loading 0:   9%|▉         | 26/291 [00:00<00:05, 51.52it/s]
Loading 0:  11%|█         | 32/291 [00:00<00:05, 43.61it/s]
Loading 0:  14%|█▎        | 40/291 [00:00<00:04, 52.90it/s]
Loading 0:  16%|█▌        | 46/291 [00:00<00:04, 49.74it/s]
Loading 0:  18%|█▊        | 52/291 [00:01<00:04, 50.66it/s]
Loading 0:  20%|█▉        | 58/291 [00:01<00:04, 52.19it/s]
Loading 0:  22%|██▏       | 64/291 [00:01<00:04, 47.35it/s]
Loading 0:  24%|██▎       | 69/291 [00:01<00:04, 46.24it/s]
Loading 0:  26%|██▌       | 76/291 [00:01<00:04, 51.19it/s]
Loading 0:  28%|██▊       | 82/291 [00:01<00:04, 46.10it/s]
Loading 0:  30%|██▉       | 87/291 [00:01<00:06, 32.19it/s]
Loading 0:  32%|███▏      | 94/291 [00:02<00:05, 38.70it/s]
Loading 0:  34%|███▍      | 100/291 [00:02<00:04, 39.11it/s]
Loading 0:  36%|███▌      | 105/291 [00:02<00:04, 40.43it/s]
Loading 0:  38%|███▊      | 112/291 [00:02<00:03, 46.31it/s]
Loading 0:  41%|████      | 118/291 [00:02<00:03, 43.41it/s]
Loading 0:  42%|████▏     | 123/291 [00:02<00:03, 43.18it/s]
Loading 0:  45%|████▍     | 130/291 [00:02<00:03, 48.04it/s]
Loading 0:  47%|████▋     | 136/291 [00:02<00:03, 46.42it/s]
Loading 0:  48%|████▊     | 141/291 [00:03<00:03, 46.47it/s]
Loading 0:  51%|█████     | 148/291 [00:03<00:02, 52.09it/s]
Loading 0:  53%|█████▎    | 154/291 [00:03<00:02, 48.57it/s]
Loading 0:  55%|█████▍    | 160/291 [00:03<00:02, 49.65it/s]
Loading 0:  57%|█████▋    | 166/291 [00:03<00:02, 51.88it/s]
Loading 0:  59%|█████▉    | 172/291 [00:03<00:02, 47.88it/s]
Loading 0:  62%|██████▏   | 179/291 [00:03<00:02, 50.39it/s]
Loading 0:  64%|██████▎   | 185/291 [00:03<00:02, 50.57it/s]
Loading 0:  66%|██████▌   | 191/291 [00:04<00:03, 33.24it/s]
Loading 0:  67%|██████▋   | 196/291 [00:04<00:02, 34.80it/s]
Loading 0:  69%|██████▉   | 202/291 [00:04<00:02, 39.58it/s]
Loading 0:  71%|███████▏  | 208/291 [00:04<00:02, 39.30it/s]
Loading 0:  73%|███████▎  | 213/291 [00:04<00:01, 40.34it/s]
Loading 0:  75%|███████▌  | 219/291 [00:04<00:01, 44.84it/s]
Loading 0:  77%|███████▋  | 224/291 [00:04<00:01, 45.46it/s]
Loading 0:  79%|███████▉  | 230/291 [00:05<00:01, 40.94it/s]
Loading 0:  82%|████████▏ | 238/291 [00:05<00:01, 48.65it/s]
Loading 0:  84%|████████▍ | 244/291 [00:05<00:01, 45.79it/s]
Loading 0:  86%|████████▌ | 249/291 [00:05<00:00, 44.51it/s]
Loading 0:  88%|████████▊ | 256/291 [00:05<00:00, 48.81it/s]
Loading 0:  90%|█████████ | 262/291 [00:05<00:00, 46.29it/s]
Loading 0:  92%|█████████▏| 267/291 [00:05<00:00, 45.20it/s]
Loading 0:  94%|█████████▍| 274/291 [00:06<00:00, 49.78it/s]
Loading 0:  96%|█████████▌| 280/291 [00:06<00:00, 46.25it/s]
Loading 0:  98%|█████████▊| 285/291 [00:06<00:00, 46.28it/s]
Loading 0: 100%|█████████▉| 290/291 [00:11<00:00,  3.28it/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-v9-c1-v1-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v9-c1-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-v9-c1-v1-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v9-c1-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-v9-c1-v1-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: Saving duration: 1.403s
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.218s
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ba-e-v9-c1-v1_reward
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ba-e-v9-c1-v1_reward/vocab.json
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ba-e-v9-c1-v1_reward/tokenizer.json
cycy233-l3-ba-e-v9-c1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ba-e-v9-c1-v1_reward/reward.tensors
Job cycy233-l3-ba-e-v9-c1-v1-mkmlizer completed after 95.47s with status: succeeded
Stopping job with name cycy233-l3-ba-e-v9-c1-v1-mkmlizer
Pipeline stage MKMLizer completed in 96.55s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ba-e-v9-c1-v1
Waiting for inference service cycy233-l3-ba-e-v9-c1-v1 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service cycy233-l3-ba-e-v9-c1-v1 ready after 90.92238783836365s
Pipeline stage ISVCDeployer completed in 93.06s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2767975330352783s
Received healthy response to inference request in 1.4885692596435547s
Received healthy response to inference request in 1.4471876621246338s
Received healthy response to inference request in 1.4110853672027588s
Received healthy response to inference request in 1.4808309078216553s
5 requests
0 failed requests
5th percentile: 1.4183058261871337
10th percentile: 1.4255262851715087
20th percentile: 1.4399672031402588
30th percentile: 1.453916311264038
40th percentile: 1.4673736095428467
50th percentile: 1.4808309078216553
60th percentile: 1.483926248550415
70th percentile: 1.4870215892791747
80th percentile: 1.6462149143218996
90th percentile: 1.961506223678589
95th percentile: 2.1191518783569334
99th percentile: 2.2452684020996094
mean time: 1.6208941459655761
Pipeline stage StressChecker completed in 8.86s
cycy233-l3-ba-e-v9-c1_v1 status is now deployed due to DeploymentManager action
cycy233-l3-ba-e-v9-c1_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-ba-e-v9-c1_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-ba-e-v9-c1-v1 is running
Tearing down inference service cycy233-l3-ba-e-v9-c1-v1
Service cycy233-l3-ba-e-v9-c1-v1 has been torndown
Pipeline stage ISVCDeleter completed in 4.46s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v9-c1-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v9-c1-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v9-c1-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v9-c1-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v9-c1-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v9-c1-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v9-c1-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v9-c1-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v9-c1-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v9-c1-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v9-c1-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v9-c1-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.48s
cycy233-l3-ba-e-v9-c1_v1 status is now torndown due to DeploymentManager action