trace2333-fd-llama3-v1-f_6599

submission_id: trace2333-fd-llama3-v1-f_6599_v1

developer_uid: Trace2333

best_of: 16

celo_rating: 1197.09

display_name: trace2333-fd-llama3-v1-f_6599_v1

family_friendly_score: 0.0

formatter: {'memory_template': "<|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\nYou: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}

generation_params: {'temperature': 1.15, 'top_p': 1.0, 'min_p': 0.06, 'top_k': 250, 'presence_penalty': 0.0, 'frequency_penalty': 0.1, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}

is_internal_developer: False

language_model: Trace2333/fd_llama3_v1_fdall_r32a16_scored

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: Trace2333/fd_llama3_v1_f

model_name: trace2333-fd-llama3-v1-f_6599_v1

model_num_parameters: 8030261248.0

model_repo: Trace2333/fd_llama3_v1_fdall_r32a16_scored

model_size: 8B

num_battles: 11414

num_wins: 5345

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: 2024-08-12T03:23:07+00:00

us_pacific_date: 2024-08-11

win_ratio: 0.46828456281759245

Resubmit model

Running pipeline stage MKMLizer
Starting job with name trace2333-fd-llama3-v1-f-6599-v1-mkmlizer
Waiting for job on trace2333-fd-llama3-v1-f-6599-v1-mkmlizer to finish
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║     _____            __           __                                ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║       /___/                                                         ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║  Version: 0.9.9                                                     ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║  belonging to:                                                      ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: Downloaded to shared memory in 56.362s
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpztau8m5k, device:0
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: quantized model in 29.772s
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: Processed model Trace2333/fd_llama3_v1_fdall_r32a16_scored in 86.134s
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-6599-v1
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-6599-v1/config.json
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-6599-v1/special_tokens_map.json
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-6599-v1/tokenizer_config.json
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-6599-v1/tokenizer.json
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:11, 25.35it/s]
Loading 0:   4%|▍         | 12/291 [00:00<00:08, 34.76it/s]
Loading 0:   5%|▌         | 16/291 [00:00<00:08, 31.72it/s]
Loading 0:   7%|▋         | 21/291 [00:00<00:07, 34.72it/s]
Loading 0:   9%|▊         | 25/291 [00:00<00:08, 32.91it/s]
Loading 0:  11%|█         | 31/291 [00:00<00:06, 39.29it/s]
Loading 0:  12%|█▏        | 36/291 [00:01<00:11, 21.31it/s]
Loading 0:  14%|█▍        | 41/291 [00:01<00:10, 23.15it/s]
Loading 0:  16%|█▋        | 48/291 [00:01<00:08, 29.81it/s]
Loading 0:  18%|█▊        | 52/291 [00:01<00:08, 29.59it/s]
Loading 0:  20%|█▉        | 57/291 [00:01<00:07, 31.07it/s]
Loading 0:  21%|██        | 61/291 [00:02<00:07, 30.20it/s]
Loading 0:  23%|██▎       | 66/291 [00:02<00:06, 32.54it/s]
Loading 0:  24%|██▍       | 70/291 [00:02<00:06, 31.76it/s]
Loading 0:  25%|██▌       | 74/291 [00:02<00:06, 31.70it/s]
Loading 0:  27%|██▋       | 78/291 [00:02<00:06, 32.09it/s]
Loading 0:  28%|██▊       | 82/291 [00:02<00:10, 20.36it/s]
Loading 0:  29%|██▉       | 85/291 [00:03<00:09, 21.76it/s]
Loading 0:  31%|███       | 90/291 [00:03<00:07, 26.28it/s]
Loading 0:  32%|███▏      | 94/291 [00:03<00:07, 27.37it/s]
Loading 0:  34%|███▍      | 99/291 [00:03<00:06, 31.00it/s]
Loading 0:  35%|███▌      | 103/291 [00:03<00:06, 31.02it/s]
Loading 0:  37%|███▋      | 108/291 [00:03<00:05, 33.97it/s]
Loading 0:  38%|███▊      | 112/291 [00:03<00:05, 32.65it/s]
Loading 0:  40%|███▉      | 116/291 [00:03<00:05, 32.79it/s]
Loading 0:  42%|████▏     | 122/291 [00:04<00:04, 37.47it/s]
Loading 0:  44%|████▎     | 127/291 [00:04<00:04, 35.52it/s]
Loading 0:  46%|████▌     | 133/291 [00:04<00:05, 28.54it/s]
Loading 0:  47%|████▋     | 137/291 [00:04<00:05, 29.14it/s]
Loading 0:  48%|████▊     | 141/291 [00:04<00:05, 27.48it/s]
Loading 0:  51%|█████     | 147/291 [00:04<00:04, 32.66it/s]
Loading 0:  52%|█████▏    | 151/291 [00:05<00:04, 32.22it/s]
Loading 0:  54%|█████▎    | 156/291 [00:05<00:03, 34.45it/s]
Loading 0:  55%|█████▍    | 160/291 [00:05<00:03, 33.06it/s]
Loading 0:  57%|█████▋    | 165/291 [00:05<00:03, 35.86it/s]
Loading 0:  58%|█████▊    | 169/291 [00:05<00:03, 34.34it/s]
Loading 0:  60%|█████▉    | 174/291 [00:05<00:03, 36.21it/s]
Loading 0:  61%|██████    | 178/291 [00:05<00:03, 33.99it/s]
Loading 0:  63%|██████▎   | 184/291 [00:05<00:02, 39.90it/s]
Loading 0:  65%|██████▍   | 189/291 [00:06<00:04, 22.54it/s]
Loading 0:  67%|██████▋   | 194/291 [00:06<00:04, 24.08it/s]
Loading 0:  69%|██████▉   | 201/291 [00:06<00:02, 30.27it/s]
Loading 0:  70%|███████   | 205/291 [00:06<00:02, 29.98it/s]
Loading 0:  72%|███████▏  | 210/291 [00:06<00:02, 32.78it/s]
Loading 0:  74%|███████▎  | 214/291 [00:07<00:02, 32.09it/s]
Loading 0:  75%|███████▌  | 219/291 [00:07<00:02, 34.22it/s]
Loading 0:  77%|███████▋  | 223/291 [00:07<00:02, 33.06it/s]
Loading 0:  78%|███████▊  | 227/291 [00:07<00:01, 33.55it/s]
Loading 0:  79%|███████▉  | 231/291 [00:07<00:01, 34.12it/s]
Loading 0:  81%|████████  | 235/291 [00:07<00:02, 24.21it/s]
Loading 0:  82%|████████▏ | 239/291 [00:07<00:02, 24.47it/s]
Loading 0:  85%|████████▍ | 246/291 [00:08<00:01, 31.93it/s]
Loading 0:  86%|████████▌ | 250/291 [00:08<00:01, 31.39it/s]
Loading 0:  88%|████████▊ | 255/291 [00:08<00:01, 34.28it/s]
Loading 0:  89%|████████▉ | 259/291 [00:08<00:00, 33.16it/s]
Loading 0:  91%|█████████ | 264/291 [00:08<00:00, 35.29it/s]
Loading 0:  92%|█████████▏| 268/291 [00:08<00:00, 32.91it/s]
Loading 0:  94%|█████████▍| 273/291 [00:08<00:00, 35.37it/s]
Loading 0:  95%|█████████▌| 277/291 [00:09<00:00, 33.83it/s]
Loading 0:  97%|█████████▋| 281/291 [00:09<00:00, 33.88it/s]
Loading 0:  98%|█████████▊| 286/291 [00:14<00:01,  2.54it/s]
Loading 0:  99%|█████████▉| 289/291 [00:14<00:00,  3.16it/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.
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-f-6599-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.
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-f-6599-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.
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: Saving duration: 1.406s
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.301s
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: creating bucket guanaco-reward-models
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-6599-v1_reward
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-6599-v1_reward/config.json
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-6599-v1_reward/special_tokens_map.json
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-6599-v1_reward/tokenizer_config.json
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-6599-v1_reward/merges.txt
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-6599-v1_reward/vocab.json
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-6599-v1_reward/tokenizer.json
trace2333-fd-llama3-v1-f-6599-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-6599-v1_reward/reward.tensors
Job trace2333-fd-llama3-v1-f-6599-v1-mkmlizer completed after 135.11s with status: succeeded
Stopping job with name trace2333-fd-llama3-v1-f-6599-v1-mkmlizer
Pipeline stage MKMLizer completed in 136.15s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-fd-llama3-v1-f-6599-v1
Waiting for inference service trace2333-fd-llama3-v1-f-6599-v1 to be ready
Inference service trace2333-fd-llama3-v1-f-6599-v1 ready after 201.18584394454956s
Pipeline stage ISVCDeployer completed in 203.32s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.248751401901245s
Received healthy response to inference request in 1.4537169933319092s
Received healthy response to inference request in 1.465118408203125s
Received healthy response to inference request in 1.4632017612457275s
Received healthy response to inference request in 1.4063544273376465s
5 requests
0 failed requests
5th percentile: 1.415826940536499
10th percentile: 1.4252994537353516
20th percentile: 1.4442444801330567
30th percentile: 1.455613946914673
40th percentile: 1.4594078540802002
50th percentile: 1.4632017612457275
60th percentile: 1.4639684200286864
70th percentile: 1.4647350788116456
80th percentile: 1.6218450069427492
90th percentile: 1.935298204421997
95th percentile: 2.092024803161621
99th percentile: 2.21740608215332
mean time: 1.6074285984039307
Pipeline stage StressChecker completed in 8.79s
trace2333-fd-llama3-v1-f_6599_v1 status is now deployed due to DeploymentManager action
trace2333-fd-llama3-v1-f_6599_v1 status is now inactive due to auto deactivation removed underperforming models
trace2333-fd-llama3-v1-f_6599_v1 status is now torndown due to DeploymentManager action