trace2333-fd-llama3-v1-f_5481

developer_uid: Trace2333

submission_id: trace2333-fd-llama3-v1-f_5481_v1

model_name: trace2333-fd-llama3-v1-f_5481_v1

model_group: Trace2333/fd_llama3_v1_f

status: torndown

timestamp: 2024-08-06T01:28:35+00:00

num_battles: 9543

num_wins: 4649

celo_rating: 1199.44

family_friendly_score: 0.0

submission_type: basic

model_repo: Trace2333/fd_llama3_v1_fdall_r64a128_bs32

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: trace2333-fd-llama3-v1-f_5481_v1

is_internal_developer: False

language_model: Trace2333/fd_llama3_v1_fdall_r64a128_bs32

model_size: 8B

ranking_group: single

us_pacific_date: 2024-08-05

win_ratio: 0.487163365817877

generation_params: {'temperature': 1.05, 'top_p': 1.0, 'min_p': 0.06, 'top_k': 80, '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}

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}

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 trace2333-fd-llama3-v1-f-5481-v1-mkmlizer
Waiting for job on trace2333-fd-llama3-v1-f-5481-v1-mkmlizer to finish
Stopping job with name trace2333-fd-llama3-v1-f-5481-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name trace2333-fd-llama3-v1-f-5481-v1-mkmlizer
Waiting for job on trace2333-fd-llama3-v1-f-5481-v1-mkmlizer to finish
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║     _____            __           __                                ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║       /___/                                                         ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║  Version: 0.9.9                                                     ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║  belonging to:                                                      ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: Downloaded to shared memory in 67.282s
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpewly9824, device:0
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: quantized model in 28.938s
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: Processed model Trace2333/fd_llama3_v1_fdall_r64a128_bs32 in 96.220s
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-5481-v1
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-5481-v1/special_tokens_map.json
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-5481-v1/tokenizer_config.json
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-5481-v1/tokenizer.json
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-fd-llama3-v1-f-5481-v1/flywheel_model.0.safetensors
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   2%|▏         | 5/291 [00:00<00:10, 26.93it/s]
Loading 0:   4%|▍         | 12/291 [00:00<00:07, 36.65it/s]
Loading 0:   5%|▌         | 16/291 [00:00<00:08, 34.07it/s]
Loading 0:   7%|▋         | 21/291 [00:00<00:07, 36.34it/s]
Loading 0:   9%|▊         | 25/291 [00:00<00:07, 34.08it/s]
Loading 0:  10%|█         | 30/291 [00:00<00:06, 37.91it/s]
Loading 0:  12%|█▏        | 34/291 [00:01<00:10, 24.75it/s]
Loading 0:  13%|█▎        | 38/291 [00:01<00:09, 26.20it/s]
Loading 0:  14%|█▍        | 42/291 [00:01<00:09, 25.38it/s]
Loading 0:  16%|█▋        | 48/291 [00:01<00:07, 30.83it/s]
Loading 0:  18%|█▊        | 52/291 [00:01<00:07, 30.84it/s]
Loading 0:  20%|█▉        | 57/291 [00:01<00:06, 33.83it/s]
Loading 0:  21%|██        | 61/291 [00:01<00:06, 33.32it/s]
Loading 0:  23%|██▎       | 66/291 [00:02<00:06, 36.35it/s]
Loading 0:  24%|██▍       | 70/291 [00:02<00:06, 34.97it/s]
Loading 0:  25%|██▌       | 74/291 [00:02<00:06, 34.76it/s]
Loading 0:  27%|██▋       | 78/291 [00:02<00:06, 34.67it/s]
Loading 0:  28%|██▊       | 82/291 [00:02<00:08, 23.56it/s]
Loading 0:  30%|██▉       | 86/291 [00:02<00:07, 26.49it/s]
Loading 0:  31%|███       | 90/291 [00:02<00:06, 29.23it/s]
Loading 0:  32%|███▏      | 94/291 [00:03<00:06, 29.85it/s]
Loading 0:  34%|███▍      | 99/291 [00:03<00:05, 33.31it/s]
Loading 0:  35%|███▌      | 103/291 [00:03<00:05, 32.51it/s]
Loading 0:  37%|███▋      | 108/291 [00:03<00:05, 34.89it/s]
Loading 0:  38%|███▊      | 112/291 [00:03<00:05, 33.53it/s]
Loading 0:  40%|███▉      | 116/291 [00:03<00:05, 34.07it/s]
Loading 0:  42%|████▏     | 122/291 [00:03<00:04, 37.99it/s]
Loading 0:  44%|████▎     | 127/291 [00:03<00:04, 36.18it/s]
Loading 0:  46%|████▌     | 133/291 [00:04<00:05, 30.13it/s]
Loading 0:  47%|████▋     | 137/291 [00:04<00:05, 30.65it/s]
Loading 0:  48%|████▊     | 141/291 [00:04<00:05, 28.74it/s]
Loading 0:  51%|█████     | 147/291 [00:04<00:04, 33.88it/s]
Loading 0:  52%|█████▏    | 151/291 [00:04<00:04, 32.72it/s]
Loading 0:  54%|█████▎    | 156/291 [00:04<00:03, 35.20it/s]
Loading 0:  55%|█████▍    | 160/291 [00:04<00:03, 34.04it/s]
Loading 0:  57%|█████▋    | 165/291 [00:05<00:03, 36.72it/s]
Loading 0:  58%|█████▊    | 169/291 [00:05<00:03, 34.95it/s]
Loading 0:  60%|█████▉    | 174/291 [00:05<00:03, 37.38it/s]
Loading 0:  61%|██████    | 178/291 [00:05<00:03, 35.45it/s]
Loading 0:  63%|██████▎   | 184/291 [00:05<00:02, 40.80it/s]
Loading 0:  65%|██████▍   | 189/291 [00:05<00:04, 24.58it/s]
Loading 0:  67%|██████▋   | 194/291 [00:06<00:03, 25.96it/s]
Loading 0:  69%|██████▉   | 201/291 [00:06<00:02, 32.81it/s]
Loading 0:  70%|███████   | 205/291 [00:06<00:02, 32.26it/s]
Loading 0:  72%|███████▏  | 210/291 [00:06<00:02, 34.33it/s]
Loading 0:  74%|███████▎  | 214/291 [00:06<00:02, 33.10it/s]
Loading 0:  75%|███████▌  | 219/291 [00:06<00:02, 35.59it/s]
Loading 0:  77%|███████▋  | 223/291 [00:06<00:02, 33.72it/s]
Loading 0:  78%|███████▊  | 227/291 [00:07<00:01, 32.99it/s]
Loading 0:  79%|███████▉  | 231/291 [00:07<00:01, 33.29it/s]
Loading 0:  81%|████████  | 235/291 [00:07<00:02, 24.76it/s]
Loading 0:  82%|████████▏ | 239/291 [00:07<00:02, 24.96it/s]
Loading 0:  85%|████████▍ | 246/291 [00:07<00:01, 32.60it/s]
Loading 0:  86%|████████▌ | 250/291 [00:07<00:01, 32.08it/s]
Loading 0:  88%|████████▊ | 255/291 [00:07<00:01, 34.57it/s]
Loading 0:  89%|████████▉ | 259/291 [00:08<00:00, 33.55it/s]
Loading 0:  91%|█████████ | 264/291 [00:08<00:00, 35.50it/s]
Loading 0:  92%|█████████▏| 268/291 [00:08<00:00, 33.92it/s]
Loading 0:  94%|█████████▍| 273/291 [00:08<00:00, 36.16it/s]
Loading 0:  95%|█████████▌| 277/291 [00:08<00:00, 34.62it/s]
Loading 0:  97%|█████████▋| 281/291 [00:08<00:00, 34.44it/s]
Loading 0:  98%|█████████▊| 286/291 [00:14<00:01,  2.60it/s]
Loading 0:  99%|█████████▉| 289/291 [00:14<00:00,  3.23it/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-5481-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-f-5481-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-5481-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: Saving duration: 1.414s
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 12.698s
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-5481-v1_reward
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-5481-v1_reward/special_tokens_map.json
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-5481-v1_reward/config.json
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-5481-v1_reward/tokenizer_config.json
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-5481-v1_reward/merges.txt
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-5481-v1_reward/vocab.json
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-5481-v1_reward/tokenizer.json
trace2333-fd-llama3-v1-f-5481-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/trace2333-fd-llama3-v1-f-5481-v1_reward/reward.tensors
Job trace2333-fd-llama3-v1-f-5481-v1-mkmlizer completed after 146.39s with status: succeeded
Stopping job with name trace2333-fd-llama3-v1-f-5481-v1-mkmlizer
Pipeline stage MKMLizer completed in 148.60s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-fd-llama3-v1-f-5481-v1
Waiting for inference service trace2333-fd-llama3-v1-f-5481-v1 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service trace2333-fd-llama3-v1-f-5481-v1 ready after 171.0249969959259s
Pipeline stage ISVCDeployer completed in 173.11s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.221707582473755s
Received healthy response to inference request in 1.501528024673462s
Received healthy response to inference request in 1.3716537952423096s
Received healthy response to inference request in 1.4469046592712402s
Received healthy response to inference request in 1.6107509136199951s
5 requests
0 failed requests
5th percentile: 1.3867039680480957
10th percentile: 1.4017541408538818
20th percentile: 1.431854486465454
30th percentile: 1.4578293323516847
40th percentile: 1.4796786785125733
50th percentile: 1.501528024673462
60th percentile: 1.545217180252075
70th percentile: 1.5889063358306885
80th percentile: 1.7329422473907472
90th percentile: 1.9773249149322512
95th percentile: 2.099516248703003
99th percentile: 2.1972693157196046
mean time: 1.6305089950561524
Pipeline stage StressChecker completed in 9.08s
trace2333-fd-llama3-v1-f_5481_v1 status is now deployed due to DeploymentManager action
trace2333-fd-llama3-v1-f_5481_v1 status is now inactive due to auto deactivation removed underperforming models
trace2333-fd-llama3-v1-f_5481_v1 status is now torndown due to DeploymentManager action