cycy233-l3-ba-e-v3-c2

developer_uid: shiroe40

submission_id: cycy233-l3-ba-e-v3-c2_v1

model_name: auto

model_group: cycy233/L3-ba-e-v3-c2

status: torndown

timestamp: 2024-07-26T15:05:06+00:00

num_battles: 11594

num_wins: 6518

celo_rating: 1257.91

family_friendly_score: 0.0

submission_type: basic

model_repo: cycy233/L3-ba-e-v3-c2

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-v3-c2

model_size: 8B

ranking_group: single

us_pacific_date: 2024-07-26

win_ratio: 0.5621873382784198

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-v3-c2-v1-mkmlizer
Waiting for job on cycy233-l3-ba-e-v3-c2-v1-mkmlizer to finish
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║  Version: 0.9.7                                                     ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: Downloaded to shared memory in 31.396s
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdlz5kuh8, device:0
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: quantized model in 25.925s
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: Processed model cycy233/L3-ba-e-v3-c2 in 57.321s
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ba-e-v3-c2-v1
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v3-c2-v1/config.json
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v3-c2-v1/special_tokens_map.json
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v3-c2-v1/tokenizer_config.json
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ba-e-v3-c2-v1/flywheel_model.0.safetensors
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:07, 37.82it/s]
Loading 0:   5%|▍         | 14/291 [00:00<00:05, 47.47it/s]
Loading 0:   8%|▊         | 22/291 [00:00<00:04, 57.44it/s]
Loading 0:  10%|▉         | 28/291 [00:00<00:05, 49.54it/s]
Loading 0:  12%|█▏        | 34/291 [00:00<00:05, 51.39it/s]
Loading 0:  14%|█▍        | 41/291 [00:00<00:05, 47.15it/s]
Loading 0:  17%|█▋        | 49/291 [00:00<00:04, 55.24it/s]
Loading 0:  19%|█▉        | 55/291 [00:01<00:04, 49.69it/s]
Loading 0:  21%|██        | 61/291 [00:01<00:04, 50.34it/s]
Loading 0:  23%|██▎       | 67/291 [00:01<00:04, 51.86it/s]
Loading 0:  25%|██▌       | 73/291 [00:01<00:04, 48.71it/s]
Loading 0:  27%|██▋       | 79/291 [00:01<00:04, 49.91it/s]
Loading 0:  29%|██▉       | 85/291 [00:01<00:05, 37.73it/s]
Loading 0:  31%|███▏      | 91/291 [00:01<00:05, 38.21it/s]
Loading 0:  33%|███▎      | 96/291 [00:02<00:04, 39.77it/s]
Loading 0:  35%|███▌      | 103/291 [00:02<00:04, 45.22it/s]
Loading 0:  37%|███▋      | 109/291 [00:02<00:04, 44.23it/s]
Loading 0:  39%|███▉      | 114/291 [00:02<00:04, 44.14it/s]
Loading 0:  41%|████      | 120/291 [00:02<00:03, 47.70it/s]
Loading 0:  43%|████▎     | 125/291 [00:02<00:03, 48.26it/s]
Loading 0:  45%|████▍     | 130/291 [00:02<00:03, 48.28it/s]
Loading 0:  47%|████▋     | 136/291 [00:02<00:03, 46.34it/s]
Loading 0:  48%|████▊     | 141/291 [00:03<00:03, 46.15it/s]
Loading 0:  51%|█████     | 148/291 [00:03<00:02, 51.40it/s]
Loading 0:  53%|█████▎    | 154/291 [00:03<00:02, 47.72it/s]
Loading 0:  55%|█████▍    | 159/291 [00:03<00:02, 46.88it/s]
Loading 0:  57%|█████▋    | 166/291 [00:03<00:02, 51.97it/s]
Loading 0:  59%|█████▉    | 172/291 [00:03<00:02, 46.52it/s]
Loading 0:  62%|██████▏   | 179/291 [00:03<00:02, 50.37it/s]
Loading 0:  64%|██████▎   | 185/291 [00:03<00:02, 50.87it/s]
Loading 0:  66%|██████▌   | 191/291 [00:04<00:02, 35.27it/s]
Loading 0:  67%|██████▋   | 196/291 [00:04<00:02, 36.91it/s]
Loading 0:  69%|██████▉   | 202/291 [00:04<00:02, 41.17it/s]
Loading 0:  71%|███████▏  | 208/291 [00:04<00:02, 40.68it/s]
Loading 0:  73%|███████▎  | 213/291 [00:04<00:01, 41.59it/s]
Loading 0:  76%|███████▌  | 220/291 [00:04<00:01, 47.27it/s]
Loading 0:  78%|███████▊  | 226/291 [00:04<00:01, 44.15it/s]
Loading 0:  79%|███████▉  | 231/291 [00:05<00:01, 43.13it/s]
Loading 0:  82%|████████▏ | 238/291 [00:05<00:01, 48.46it/s]
Loading 0:  84%|████████▍ | 244/291 [00:05<00:01, 45.92it/s]
Loading 0:  86%|████████▌ | 249/291 [00:05<00:00, 45.30it/s]
Loading 0:  88%|████████▊ | 255/291 [00:05<00:00, 48.03it/s]
Loading 0:  89%|████████▉ | 260/291 [00:05<00:00, 47.53it/s]
Loading 0:  91%|█████████ | 265/291 [00:05<00:00, 48.18it/s]
Loading 0:  93%|█████████▎| 271/291 [00:05<00:00, 46.33it/s]
Loading 0:  95%|█████████▍| 276/291 [00:05<00:00, 46.38it/s]
Loading 0:  97%|█████████▋| 282/291 [00:06<00:00, 42.50it/s]
Loading 0:  99%|█████████▊| 287/291 [00:11<00:01,  3.20it/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-v3-c2-v1-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v3-c2-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-v3-c2-v1-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v3-c2-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-v3-c2-v1-mkmlizer:   warnings.warn(
Retrying (%r) after connection broken by '%r': %s
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: Saving duration: 1.398s
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 10.578s
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ba-e-v3-c2-v1_reward
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v3-c2-v1_reward/config.json
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ba-e-v3-c2-v1_reward/special_tokens_map.json
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v3-c2-v1_reward/tokenizer_config.json
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ba-e-v3-c2-v1_reward/merges.txt
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ba-e-v3-c2-v1_reward/vocab.json
cycy233-l3-ba-e-v3-c2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ba-e-v3-c2-v1_reward/tokenizer.json
Job cycy233-l3-ba-e-v3-c2-v1-mkmlizer completed after 148.1s with status: succeeded
Stopping job with name cycy233-l3-ba-e-v3-c2-v1-mkmlizer
Pipeline stage MKMLizer completed in 149.02s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ba-e-v3-c2-v1
Waiting for inference service cycy233-l3-ba-e-v3-c2-v1 to be ready
Inference service cycy233-l3-ba-e-v3-c2-v1 ready after 81.0483911037445s
Pipeline stage ISVCDeployer completed in 82.40s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1872644424438477s
Received healthy response to inference request in 1.4740955829620361s
Received healthy response to inference request in 1.4439010620117188s
Received healthy response to inference request in 1.418980598449707s
Received healthy response to inference request in 1.5032339096069336s
5 requests
0 failed requests
5th percentile: 1.4239646911621093
10th percentile: 1.4289487838745116
20th percentile: 1.4389169692993165
30th percentile: 1.4499399662017822
40th percentile: 1.4620177745819092
50th percentile: 1.4740955829620361
60th percentile: 1.4857509136199951
70th percentile: 1.497406244277954
80th percentile: 1.6400400161743165
90th percentile: 1.913652229309082
95th percentile: 2.0504583358764648
99th percentile: 2.1599032211303713
mean time: 1.6054951190948485
Pipeline stage StressChecker completed in 8.81s
cycy233-l3-ba-e-v3-c2_v1 status is now deployed due to DeploymentManager action
cycy233-l3-ba-e-v3-c2_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-ba-e-v3-c2_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-ba-e-v3-c2-v1 is running
Tearing down inference service cycy233-l3-ba-e-v3-c2-v1
Service cycy233-l3-ba-e-v3-c2-v1 has been torndown
Pipeline stage ISVCDeleter completed in 5.27s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v3-c2-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v3-c2-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v3-c2-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v3-c2-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v3-c2-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v3-c2-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v3-c2-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v3-c2-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v3-c2-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v3-c2-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v3-c2-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v3-c2-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.46s
cycy233-l3-ba-e-v3-c2_v1 status is now torndown due to DeploymentManager action