cycy233-l3-ba-e-v8-c3

developer_uid: shiroe40

submission_id: cycy233-l3-ba-e-v8-c3_v2

model_name: auto

model_group: cycy233/L3-ba-e-v8-c3

status: torndown

timestamp: 2024-07-28T08:13:06+00:00

num_battles: 11310

num_wins: 6351

celo_rating: 1254.74

family_friendly_score: 0.0

submission_type: basic

model_repo: cycy233/L3-ba-e-v8-c3

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-v8-c3

model_size: 8B

ranking_group: single

us_pacific_date: 2024-07-28

win_ratio: 0.5615384615384615

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-v8-c3-v2-mkmlizer
Waiting for job on cycy233-l3-ba-e-v8-c3-v2-mkmlizer to finish
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║       /___/                                                         ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║  Version: 0.9.7                                                     ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: Downloaded to shared memory in 23.320s
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpbdz7aehb, device:0
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: quantized model in 26.354s
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: Processed model cycy233/L3-ba-e-v8-c3 in 49.674s
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ba-e-v8-c3-v2
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v8-c3-v2/config.json
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v8-c3-v2/tokenizer_config.json
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v8-c3-v2/special_tokens_map.json
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v8-c3-v2/tokenizer.json
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:07, 36.33it/s]
Loading 0:   5%|▍         | 14/291 [00:00<00:05, 46.92it/s]
Loading 0:   8%|▊         | 23/291 [00:00<00:05, 49.93it/s]
Loading 0:  11%|█         | 32/291 [00:00<00:05, 51.09it/s]
Loading 0:  14%|█▍        | 41/291 [00:00<00:04, 51.71it/s]
Loading 0:  17%|█▋        | 50/291 [00:00<00:04, 52.24it/s]
Loading 0:  20%|█▉        | 58/291 [00:01<00:04, 57.89it/s]
Loading 0:  22%|██▏       | 65/291 [00:01<00:04, 55.46it/s]
Loading 0:  24%|██▍       | 71/291 [00:01<00:04, 53.63it/s]
Loading 0:  26%|██▋       | 77/291 [00:01<00:04, 47.05it/s]
Loading 0:  29%|██▊       | 83/291 [00:01<00:05, 35.39it/s]
Loading 0:  30%|███       | 88/291 [00:01<00:05, 36.42it/s]
Loading 0:  32%|███▏      | 94/291 [00:02<00:04, 40.42it/s]
Loading 0:  34%|███▍      | 100/291 [00:02<00:04, 39.59it/s]
Loading 0:  36%|███▌      | 105/291 [00:02<00:04, 40.25it/s]
Loading 0:  38%|███▊      | 112/291 [00:02<00:03, 45.44it/s]
Loading 0:  41%|████      | 118/291 [00:02<00:03, 44.12it/s]
Loading 0:  42%|████▏     | 123/291 [00:02<00:03, 44.26it/s]
Loading 0:  45%|████▍     | 130/291 [00:02<00:03, 49.32it/s]
Loading 0:  47%|████▋     | 136/291 [00:02<00:03, 47.03it/s]
Loading 0:  48%|████▊     | 141/291 [00:03<00:03, 46.54it/s]
Loading 0:  51%|█████     | 148/291 [00:03<00:02, 51.45it/s]
Loading 0:  53%|█████▎    | 154/291 [00:03<00:02, 48.44it/s]
Loading 0:  55%|█████▍    | 159/291 [00:03<00:02, 47.14it/s]
Loading 0:  57%|█████▋    | 165/291 [00:03<00:02, 49.47it/s]
Loading 0:  59%|█████▉    | 171/291 [00:03<00:02, 51.57it/s]
Loading 0:  61%|██████    | 177/291 [00:03<00:02, 48.43it/s]
Loading 0:  63%|██████▎   | 182/291 [00:03<00:02, 46.86it/s]
Loading 0:  64%|██████▍   | 187/291 [00:04<00:03, 33.40it/s]
Loading 0:  66%|██████▌   | 192/291 [00:04<00:02, 35.97it/s]
Loading 0:  68%|██████▊   | 197/291 [00:04<00:02, 38.99it/s]
Loading 0:  69%|██████▉   | 202/291 [00:04<00:02, 40.12it/s]
Loading 0:  71%|███████▏  | 208/291 [00:04<00:02, 39.78it/s]
Loading 0:  73%|███████▎  | 213/291 [00:04<00:01, 41.27it/s]
Loading 0:  76%|███████▌  | 220/291 [00:04<00:01, 46.72it/s]
Loading 0:  78%|███████▊  | 226/291 [00:04<00:01, 45.28it/s]
Loading 0:  79%|███████▉  | 231/291 [00:05<00:01, 45.06it/s]
Loading 0:  82%|████████▏ | 238/291 [00:05<00:01, 50.66it/s]
Loading 0:  84%|████████▍ | 244/291 [00:05<00:00, 47.83it/s]
Loading 0:  86%|████████▌ | 249/291 [00:05<00:00, 47.46it/s]
Loading 0:  88%|████████▊ | 256/291 [00:05<00:00, 52.36it/s]
Loading 0:  90%|█████████ | 262/291 [00:05<00:00, 48.52it/s]
Loading 0:  92%|█████████▏| 267/291 [00:05<00:00, 47.32it/s]
Loading 0:  94%|█████████▍| 274/291 [00:05<00:00, 52.43it/s]
Loading 0:  96%|█████████▌| 280/291 [00:06<00:00, 48.43it/s]
Loading 0:  98%|█████████▊| 285/291 [00:06<00:00, 46.96it/s]
Loading 0: 100%|█████████▉| 290/291 [00:11<00:00,  3.21it/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-v8-c3-v2-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v8-c3-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-v8-c3-v2-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v8-c3-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-v8-c3-v2-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: Saving duration: 1.439s
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.532s
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ba-e-v8-c3-v2_reward
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v8-c3-v2_reward/config.json
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ba-e-v8-c3-v2_reward/special_tokens_map.json
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v8-c3-v2_reward/tokenizer_config.json
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ba-e-v8-c3-v2_reward/merges.txt
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ba-e-v8-c3-v2_reward/vocab.json
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ba-e-v8-c3-v2_reward/tokenizer.json
cycy233-l3-ba-e-v8-c3-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ba-e-v8-c3-v2_reward/reward.tensors
Job cycy233-l3-ba-e-v8-c3-v2-mkmlizer completed after 95.45s with status: succeeded
Stopping job with name cycy233-l3-ba-e-v8-c3-v2-mkmlizer
Pipeline stage MKMLizer completed in 96.45s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ba-e-v8-c3-v2
Waiting for inference service cycy233-l3-ba-e-v8-c3-v2 to be ready
Inference service cycy233-l3-ba-e-v8-c3-v2 ready after 100.95516967773438s
Pipeline stage ISVCDeployer completed in 102.49s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3544044494628906s
Received healthy response to inference request in 1.496854543685913s
Received healthy response to inference request in 1.4573981761932373s
Received healthy response to inference request in 1.4129562377929688s
Received healthy response to inference request in 1.4988672733306885s
5 requests
0 failed requests
5th percentile: 1.4218446254730224
10th percentile: 1.4307330131530762
20th percentile: 1.4485097885131837
30th percentile: 1.4652894496917725
40th percentile: 1.4810719966888428
50th percentile: 1.496854543685913
60th percentile: 1.4976596355438232
70th percentile: 1.4984647274017333
80th percentile: 1.669974708557129
90th percentile: 2.01218957901001
95th percentile: 2.18329701423645
99th percentile: 2.3201829624176025
mean time: 1.6440961360931396
Pipeline stage StressChecker completed in 8.85s
cycy233-l3-ba-e-v8-c3_v2 status is now deployed due to DeploymentManager action
cycy233-l3-ba-e-v8-c3_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-ba-e-v8-c3_v2
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-ba-e-v8-c3-v2 is running
Tearing down inference service cycy233-l3-ba-e-v8-c3-v2
Service cycy233-l3-ba-e-v8-c3-v2 has been torndown
Pipeline stage ISVCDeleter completed in 3.97s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v8-c3-v2/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v8-c3-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v8-c3-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v8-c3-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v8-c3-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v8-c3-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v8-c3-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v8-c3-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v8-c3-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v8-c3-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v8-c3-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v8-c3-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.76s
cycy233-l3-ba-e-v8-c3_v2 status is now torndown due to DeploymentManager action