submission_id: cycy233-l3-ba-e-v2-c2_v1
developer_uid: shiroe40
best_of: 16
celo_rating: 1238.67
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-v2-c2
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-ba-e-v2-c2
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-ba-e-v2-c2
model_size: 8B
num_battles: 9992
num_wins: 5613
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: 2024-07-26T07:26:28+00:00
us_pacific_date: 2024-07-26
win_ratio: 0.5617493995196157
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-ba-e-v2-c2-v1-mkmlizer
Waiting for job on cycy233-l3-ba-e-v2-c2-v1-mkmlizer to finish
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: ║ _____ __ __ ║
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cycy233-l3-ba-e-v2-c2-v1-mkmlizer: ║ /___/ ║
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: ║ ║
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: ║ Version: 0.9.7 ║
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-l3-ba-e-v2-c2-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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cycy233-l3-ba-e-v2-c2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: Downloaded to shared memory in 35.101s
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwidaaab2, device:0
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: quantized model in 25.689s
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: Processed model cycy233/L3-ba-e-v2-c2 in 60.791s
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ba-e-v2-c2-v1
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v2-c2-v1/config.json
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v2-c2-v1/special_tokens_map.json
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v2-c2-v1/tokenizer_config.json
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ba-e-v2-c2-v1/tokenizer.json
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 2%|▏ | 5/291 [00:00<00:07, 38.43it/s] Loading 0: 5%|▍ | 14/291 [00:00<00:05, 47.72it/s] Loading 0: 8%|▊ | 23/291 [00:00<00:05, 50.81it/s] Loading 0: 11%|█ | 32/291 [00:00<00:04, 52.34it/s] Loading 0: 14%|█▍ | 41/291 [00:00<00:04, 51.94it/s] Loading 0: 17%|█▋ | 49/291 [00:00<00:04, 57.79it/s] Loading 0: 19%|█▉ | 55/291 [00:01<00:04, 52.50it/s] Loading 0: 21%|██ | 61/291 [00:01<00:04, 52.71it/s] Loading 0: 23%|██▎ | 68/291 [00:01<00:04, 48.86it/s] Loading 0: 26%|██▌ | 76/291 [00:01<00:03, 55.29it/s] Loading 0: 28%|██▊ | 82/291 [00:01<00:04, 51.53it/s] Loading 0: 30%|███ | 88/291 [00:01<00:05, 36.93it/s] Loading 0: 32%|███▏ | 94/291 [00:01<00:04, 40.87it/s] Loading 0: 34%|███▍ | 100/291 [00:02<00:04, 40.07it/s] Loading 0: 36%|███▌ | 105/291 [00:02<00:04, 41.03it/s] Loading 0: 38%|███▊ | 112/291 [00:02<00:03, 46.81it/s] Loading 0: 41%|████ | 118/291 [00:02<00:03, 45.82it/s] Loading 0: 42%|████▏ | 123/291 [00:02<00:03, 45.95it/s] Loading 0: 45%|████▍ | 130/291 [00:02<00:03, 50.74it/s] Loading 0: 47%|████▋ | 136/291 [00:02<00:03, 47.77it/s] Loading 0: 48%|████▊ | 141/291 [00:02<00:03, 47.49it/s] Loading 0: 51%|█████ | 148/291 [00:03<00:02, 53.24it/s] Loading 0: 53%|█████▎ | 154/291 [00:03<00:02, 47.66it/s] Loading 0: 55%|█████▍ | 159/291 [00:03<00:02, 45.87it/s] Loading 0: 57%|█████▋ | 166/291 [00:03<00:02, 50.59it/s] Loading 0: 59%|█████▉ | 172/291 [00:03<00:02, 46.27it/s] Loading 0: 62%|██████▏ | 179/291 [00:03<00:02, 49.96it/s] Loading 0: 64%|██████▎ | 185/291 [00:03<00:02, 51.78it/s] Loading 0: 66%|██████▌ | 191/291 [00:04<00:02, 34.00it/s] Loading 0: 67%|██████▋ | 196/291 [00:04<00:02, 35.96it/s] Loading 0: 69%|██████▉ | 202/291 [00:04<00:02, 40.65it/s] Loading 0: 71%|███████▏ | 208/291 [00:04<00:02, 40.22it/s] Loading 0: 73%|███████▎ | 213/291 [00:04<00:01, 40.87it/s] Loading 0: 76%|███████▌ | 220/291 [00:04<00:01, 46.79it/s] Loading 0: 78%|███████▊ | 226/291 [00:04<00:01, 45.89it/s] Loading 0: 79%|███████▉ | 231/291 [00:04<00:01, 45.81it/s] Loading 0: 82%|████████▏ | 238/291 [00:05<00:01, 51.65it/s] Loading 0: 84%|████████▍ | 244/291 [00:05<00:00, 49.61it/s] Loading 0: 86%|████████▌ | 250/291 [00:05<00:00, 51.25it/s] Loading 0: 88%|████████▊ | 256/291 [00:05<00:00, 52.52it/s] Loading 0: 90%|█████████ | 262/291 [00:05<00:00, 47.84it/s] Loading 0: 92%|█████████▏| 267/291 [00:05<00:00, 46.57it/s] Loading 0: 94%|█████████▍| 273/291 [00:05<00:00, 48.89it/s] Loading 0: 96%|█████████▌| 278/291 [00:05<00:00, 48.50it/s] Loading 0: 97%|█████████▋| 283/291 [00:06<00:00, 42.08it/s] Loading 0: 99%|█████████▉| 288/291 [00:11<00:00, 3.14it/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-v2-c2-v1-mkmlizer: warnings.warn(
cycy233-l3-ba-e-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-e-v2-c2-v1-mkmlizer: warnings.warn(
cycy233-l3-ba-e-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-e-v2-c2-v1-mkmlizer: warnings.warn(
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: Saving duration: 1.378s
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.146s
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ba-e-v2-c2-v1_reward
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ba-e-v2-c2-v1_reward/special_tokens_map.json
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v2-c2-v1_reward/config.json
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ba-e-v2-c2-v1_reward/tokenizer_config.json
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ba-e-v2-c2-v1_reward/merges.txt
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ba-e-v2-c2-v1_reward/vocab.json
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ba-e-v2-c2-v1_reward/tokenizer.json
cycy233-l3-ba-e-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ba-e-v2-c2-v1_reward/reward.tensors
Job cycy233-l3-ba-e-v2-c2-v1-mkmlizer completed after 107.52s with status: succeeded
Stopping job with name cycy233-l3-ba-e-v2-c2-v1-mkmlizer
Pipeline stage MKMLizer completed in 108.57s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ba-e-v2-c2-v1
Waiting for inference service cycy233-l3-ba-e-v2-c2-v1 to be ready
Inference service cycy233-l3-ba-e-v2-c2-v1 ready after 161.60755062103271s
Pipeline stage ISVCDeployer completed in 163.28s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3055787086486816s
Received healthy response to inference request in 1.6525559425354004s
Received healthy response to inference request in 1.424156665802002s
Received healthy response to inference request in 1.4415473937988281s
Received healthy response to inference request in 1.4717590808868408s
5 requests
0 failed requests
5th percentile: 1.4276348114013673
10th percentile: 1.4311129570007324
20th percentile: 1.4380692481994628
30th percentile: 1.4475897312164308
40th percentile: 1.4596744060516358
50th percentile: 1.4717590808868408
60th percentile: 1.5440778255462646
70th percentile: 1.6163965702056884
80th percentile: 1.7831604957580567
90th percentile: 2.044369602203369
95th percentile: 2.174974155426025
99th percentile: 2.27945779800415
mean time: 1.6591195583343505
Pipeline stage StressChecker completed in 9.17s
cycy233-l3-ba-e-v2-c2_v1 status is now deployed due to DeploymentManager action
cycy233-l3-ba-e-v2-c2_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-ba-e-v2-c2_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-ba-e-v2-c2-v1 is running
Tearing down inference service cycy233-l3-ba-e-v2-c2-v1
Service cycy233-l3-ba-e-v2-c2-v1 has been torndown
Pipeline stage ISVCDeleter completed in 4.74s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v2-c2-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v2-c2-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v2-c2-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v2-c2-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-ba-e-v2-c2-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-ba-e-v2-c2-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v2-c2-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v2-c2-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v2-c2-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v2-c2-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v2-c2-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-ba-e-v2-c2-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.39s
cycy233-l3-ba-e-v2-c2_v1 status is now torndown due to DeploymentManager action