developer_uid: shiroe40
submission_id: cycy233-l3-ba-v2-c2_v1
model_name: auto
model_group: cycy233/L3-ba-v2-c2
status: torndown
timestamp: 2024-08-04T02:27:34+00:00
num_battles: 12645
num_wins: 6342
celo_rating: 1222.85
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-ba-v2-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-v2-c2
model_size: 8B
ranking_group: single
us_pacific_date: 2024-08-03
win_ratio: 0.5015421115065243
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-v2-c2-v1-mkmlizer
Waiting for job on cycy233-l3-ba-v2-c2-v1-mkmlizer to finish
cycy233-l3-ba-v2-c2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ _____ __ __ ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ /___/ ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ Version: 0.9.9 ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ belonging to: ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ║ ║
cycy233-l3-ba-v2-c2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ba-v2-c2-v1-mkmlizer: Downloaded to shared memory in 36.574s
cycy233-l3-ba-v2-c2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp82g9qfdm, device:0
cycy233-l3-ba-v2-c2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ba-v2-c2-v1-mkmlizer: quantized model in 26.339s
cycy233-l3-ba-v2-c2-v1-mkmlizer: Processed model cycy233/L3-ba-v2-c2 in 62.913s
cycy233-l3-ba-v2-c2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ba-v2-c2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ba-v2-c2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ba-v2-c2-v1
cycy233-l3-ba-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ba-v2-c2-v1/config.json
cycy233-l3-ba-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ba-v2-c2-v1/tokenizer_config.json
cycy233-l3-ba-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ba-v2-c2-v1/special_tokens_map.json
cycy233-l3-ba-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ba-v2-c2-v1/tokenizer.json
cycy233-l3-ba-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ba-v2-c2-v1/flywheel_model.0.safetensors
cycy233-l3-ba-v2-c2-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ba-v2-c2-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%|▏ | 4/291 [00:00<00:07, 37.00it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:04, 62.39it/s] Loading 0: 8%|▊ | 22/291 [00:00<00:03, 72.19it/s] Loading 0: 11%|█ | 31/291 [00:00<00:03, 77.14it/s] Loading 0: 14%|█▎ | 40/291 [00:00<00:03, 80.49it/s] Loading 0: 17%|█▋ | 49/291 [00:00<00:02, 83.10it/s] Loading 0: 20%|█▉ | 58/291 [00:00<00:02, 84.78it/s] Loading 0: 23%|██▎ | 67/291 [00:00<00:02, 82.86it/s] Loading 0: 26%|██▌ | 76/291 [00:00<00:02, 78.48it/s] Loading 0: 29%|██▉ | 84/291 [00:02<00:10, 20.35it/s] Loading 0: 31%|███ | 90/291 [00:02<00:08, 23.54it/s] Loading 0: 33%|███▎ | 97/291 [00:02<00:06, 28.51it/s] Loading 0: 36%|███▋ | 106/291 [00:02<00:05, 36.54it/s] Loading 0: 40%|███▉ | 115/291 [00:02<00:03, 44.40it/s] Loading 0: 43%|████▎ | 124/291 [00:02<00:03, 52.07it/s] Loading 0: 46%|████▌ | 133/291 [00:02<00:02, 58.29it/s] Loading 0: 49%|████▉ | 142/291 [00:02<00:02, 61.99it/s] Loading 0: 52%|█████▏ | 151/291 [00:03<00:02, 67.87it/s] Loading 0: 55%|█████▍ | 160/291 [00:03<00:01, 72.76it/s] Loading 0: 58%|█████▊ | 169/291 [00:03<00:01, 76.46it/s] Loading 0: 61%|██████ | 178/291 [00:03<00:01, 79.08it/s] Loading 0: 64%|██████▍ | 187/291 [00:04<00:05, 20.71it/s] Loading 0: 67%|██████▋ | 196/291 [00:04<00:03, 26.64it/s] Loading 0: 70%|███████ | 205/291 [00:04<00:02, 32.84it/s] Loading 0: 74%|███████▎ | 214/291 [00:04<00:01, 40.19it/s] Loading 0: 77%|███████▋ | 223/291 [00:04<00:01, 47.67it/s] Loading 0: 80%|███████▉ | 232/291 [00:05<00:01, 54.52it/s] Loading 0: 83%|████████▎ | 241/291 [00:05<00:00, 60.44it/s] Loading 0: 86%|████████▌ | 250/291 [00:05<00:00, 65.99it/s] Loading 0: 89%|████████▉ | 259/291 [00:05<00:00, 70.02it/s] Loading 0: 92%|█████████▏| 268/291 [00:05<00:00, 70.87it/s] Loading 0: 95%|█████████▌| 277/291 [00:05<00:00, 74.34it/s] Loading 0: 98%|█████████▊| 286/291 [00:05<00:00, 75.51it/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-v2-c2-v1-mkmlizer: warnings.warn(
cycy233-l3-ba-v2-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-v2-c2-v1-mkmlizer: warnings.warn(
cycy233-l3-ba-v2-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-v2-c2-v1-mkmlizer: warnings.warn(
cycy233-l3-ba-v2-c2-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ba-v2-c2-v1-mkmlizer: Saving duration: 1.434s
cycy233-l3-ba-v2-c2-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 10.969s
cycy233-l3-ba-v2-c2-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ba-v2-c2-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ba-v2-c2-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ba-v2-c2-v1_reward
cycy233-l3-ba-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ba-v2-c2-v1_reward/config.json
cycy233-l3-ba-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ba-v2-c2-v1_reward/special_tokens_map.json
cycy233-l3-ba-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ba-v2-c2-v1_reward/tokenizer_config.json
cycy233-l3-ba-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ba-v2-c2-v1_reward/merges.txt
cycy233-l3-ba-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ba-v2-c2-v1_reward/vocab.json
cycy233-l3-ba-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ba-v2-c2-v1_reward/tokenizer.json
cycy233-l3-ba-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ba-v2-c2-v1_reward/reward.tensors
Job cycy233-l3-ba-v2-c2-v1-mkmlizer completed after 104.92s with status: succeeded
Stopping job with name cycy233-l3-ba-v2-c2-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.86s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ba-v2-c2-v1
Waiting for inference service cycy233-l3-ba-v2-c2-v1 to be ready
Inference service cycy233-l3-ba-v2-c2-v1 ready after 160.97833156585693s
Pipeline stage ISVCDeployer completed in 162.80s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3201417922973633s
Received healthy response to inference request in 1.4748871326446533s
Received healthy response to inference request in 1.4441752433776855s
Received healthy response to inference request in 1.405879020690918s
Received healthy response to inference request in 1.4744772911071777s
5 requests
0 failed requests
5th percentile: 1.4135382652282715
10th percentile: 1.421197509765625
20th percentile: 1.436515998840332
30th percentile: 1.450235652923584
40th percentile: 1.4623564720153808
50th percentile: 1.4744772911071777
60th percentile: 1.4746412277221679
70th percentile: 1.4748051643371582
80th percentile: 1.6439380645751955
90th percentile: 1.9820399284362793
95th percentile: 2.1510908603668213
99th percentile: 2.286331605911255
mean time: 1.6239120960235596
Pipeline stage StressChecker completed in 8.82s
cycy233-l3-ba-v2-c2_v1 status is now deployed due to DeploymentManager action
cycy233-l3-ba-v2-c2_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-ba-v2-c2_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-ba-v2-c2-v1 is running
Tearing down inference service cycy233-l3-ba-v2-c2-v1
Service cycy233-l3-ba-v2-c2-v1 has been torndown
Pipeline stage ISVCDeleter completed in 5.64s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-ba-v2-c2-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-v2-c2-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-v2-c2-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-v2-c2-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-v2-c2-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-ba-v2-c2-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-v2-c2-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-v2-c2-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-v2-c2-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-v2-c2-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-v2-c2-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-v2-c2-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.04s
cycy233-l3-ba-v2-c2_v1 status is now torndown due to DeploymentManager action