cycy233-l3-ba-e-v0-c4

submission_id: cycy233-l3-ba-e-v0-c4_v2

developer_uid: shiroe40

best_of: 16

celo_rating: 1262.32

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-v0-c4

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: cycy233/L3-ba-e-v0-c4

model_name: auto

model_num_parameters: 8030261248.0

model_repo: cycy233/L3-ba-e-v0-c4

model_size: 8B

num_battles: 13476

num_wins: 7567

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: 2024-07-25T12:41:39+00:00

us_pacific_date: 2024-07-25

win_ratio: 0.5615167705550609

Resubmit model

Running pipeline stage MKMLizer
Starting job with name cycy233-l3-ba-e-v0-c4-v2-mkmlizer
Waiting for job on cycy233-l3-ba-e-v0-c4-v2-mkmlizer to finish
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║       /___/                                                         ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║  Version: 0.9.7                                                     ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ║                                                                     ║
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: Downloaded to shared memory in 24.621s
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwsid05gg, device:0
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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-c4-v2-mkmlizer: quantized model in 25.404s
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: Processed model cycy233/L3-ba-e-v0-c4 in 50.025s
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c4-v2
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c4-v2/config.json
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c4-v2/special_tokens_map.json
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c4-v2/tokenizer_config.json
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c4-v2/tokenizer.json
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ba-e-v0-c4-v2/flywheel_model.0.safetensors
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:07, 38.28it/s]
Loading 0:   5%|▍         | 14/291 [00:00<00:05, 51.40it/s]
Loading 0:   8%|▊         | 23/291 [00:00<00:04, 55.64it/s]
Loading 0:  11%|█         | 32/291 [00:00<00:04, 55.57it/s]
Loading 0:  14%|█▍        | 41/291 [00:00<00:04, 57.41it/s]
Loading 0:  17%|█▋        | 50/291 [00:00<00:04, 58.49it/s]
Loading 0:  20%|██        | 59/291 [00:01<00:03, 58.19it/s]
Loading 0:  23%|██▎       | 68/291 [00:01<00:03, 56.56it/s]
Loading 0:  26%|██▌       | 76/291 [00:01<00:03, 59.77it/s]
Loading 0:  29%|██▊       | 83/291 [00:01<00:05, 39.75it/s]
Loading 0:  30%|███       | 88/291 [00:01<00:05, 39.97it/s]
Loading 0:  33%|███▎      | 95/291 [00:01<00:04, 41.05it/s]
Loading 0:  35%|███▌      | 103/291 [00:02<00:03, 48.21it/s]
Loading 0:  37%|███▋      | 109/291 [00:02<00:03, 48.55it/s]
Loading 0:  40%|███▉      | 115/291 [00:02<00:03, 50.43it/s]
Loading 0:  42%|████▏     | 122/291 [00:02<00:03, 47.10it/s]
Loading 0:  45%|████▍     | 130/291 [00:02<00:02, 53.75it/s]
Loading 0:  47%|████▋     | 136/291 [00:02<00:03, 47.93it/s]
Loading 0:  49%|████▉     | 142/291 [00:02<00:03, 47.38it/s]
Loading 0:  51%|█████     | 148/291 [00:02<00:02, 50.11it/s]
Loading 0:  53%|█████▎    | 154/291 [00:03<00:02, 49.30it/s]
Loading 0:  55%|█████▍    | 160/291 [00:03<00:02, 50.70it/s]
Loading 0:  57%|█████▋    | 166/291 [00:03<00:02, 48.22it/s]
Loading 0:  59%|█████▉    | 172/291 [00:03<00:02, 47.84it/s]
Loading 0:  62%|██████▏   | 179/291 [00:03<00:02, 52.67it/s]
Loading 0:  64%|██████▎   | 185/291 [00:03<00:01, 54.51it/s]
Loading 0:  66%|██████▌   | 191/291 [00:03<00:02, 35.63it/s]
Loading 0:  67%|██████▋   | 196/291 [00:04<00:02, 36.58it/s]
Loading 0:  69%|██████▉   | 202/291 [00:04<00:02, 41.27it/s]
Loading 0:  71%|███████▏  | 208/291 [00:04<00:01, 43.32it/s]
Loading 0:  73%|███████▎  | 213/291 [00:04<00:01, 43.67it/s]
Loading 0:  76%|███████▌  | 220/291 [00:04<00:01, 49.56it/s]
Loading 0:  78%|███████▊  | 226/291 [00:04<00:01, 49.27it/s]
Loading 0:  80%|███████▉  | 232/291 [00:04<00:01, 49.84it/s]
Loading 0:  82%|████████▏ | 238/291 [00:04<00:01, 48.03it/s]
Loading 0:  84%|████████▍ | 244/291 [00:05<00:01, 46.08it/s]
Loading 0:  86%|████████▌ | 249/291 [00:05<00:00, 45.39it/s]
Loading 0:  88%|████████▊ | 255/291 [00:05<00:00, 48.11it/s]
Loading 0:  89%|████████▉ | 260/291 [00:05<00:00, 48.54it/s]
Loading 0:  91%|█████████▏| 266/291 [00:05<00:00, 44.78it/s]
Loading 0:  94%|█████████▍| 274/291 [00:05<00:00, 52.55it/s]
Loading 0:  96%|█████████▌| 280/291 [00:05<00:00, 51.03it/s]
Loading 0:  98%|█████████▊| 286/291 [00:05<00:00, 48.16it/s]
Loading 0: 100%|██████████| 291/291 [00:11<00:00,  3.49it/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-c4-v2-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v0-c4-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-v0-c4-v2-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v0-c4-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-v0-c4-v2-mkmlizer:   warnings.warn(
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: Saving duration: 1.393s
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 10.757s
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c4-v2_reward
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c4-v2_reward/special_tokens_map.json
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c4-v2_reward/tokenizer_config.json
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c4-v2_reward/config.json
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c4-v2_reward/merges.txt
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c4-v2_reward/vocab.json
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c4-v2_reward/tokenizer.json
cycy233-l3-ba-e-v0-c4-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ba-e-v0-c4-v2_reward/reward.tensors
Job cycy233-l3-ba-e-v0-c4-v2-mkmlizer completed after 94.98s with status: succeeded
Stopping job with name cycy233-l3-ba-e-v0-c4-v2-mkmlizer
Pipeline stage MKMLizer completed in 96.28s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ba-e-v0-c4-v2
Waiting for inference service cycy233-l3-ba-e-v0-c4-v2 to be ready
Inference service cycy233-l3-ba-e-v0-c4-v2 ready after 80.71011710166931s
Pipeline stage ISVCDeployer completed in 82.55s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1933200359344482s
Received healthy response to inference request in 1.5303525924682617s
Received healthy response to inference request in 1.428030014038086s
Received healthy response to inference request in 1.4126954078674316s
Received healthy response to inference request in 1.4653072357177734s
5 requests
0 failed requests
5th percentile: 1.4157623291015624
10th percentile: 1.4188292503356934
20th percentile: 1.4249630928039552
30th percentile: 1.4354854583740235
40th percentile: 1.4503963470458985
50th percentile: 1.4653072357177734
60th percentile: 1.4913253784179688
70th percentile: 1.517343521118164
80th percentile: 1.6629460811614991
90th percentile: 1.9281330585479737
95th percentile: 2.060726547241211
99th percentile: 2.1668013381958007
mean time: 1.6059410572052002
Pipeline stage StressChecker completed in 8.78s
cycy233-l3-ba-e-v0-c4_v2 status is now deployed due to DeploymentManager action
cycy233-l3-ba-e-v0-c4_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-ba-e-v0-c4_v2
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-ba-e-v0-c4-v2 is running
Tearing down inference service cycy233-l3-ba-e-v0-c4-v2
Service cycy233-l3-ba-e-v0-c4-v2 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-c4-v2/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v0-c4-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v0-c4-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v0-c4-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v0-c4-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v0-c4-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c4-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c4-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c4-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c4-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c4-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v0-c4-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.58s
cycy233-l3-ba-e-v0-c4_v2 status is now torndown due to DeploymentManager action