submission_id: khanhnto-khanhnto_v68
developer_uid: chai_backend_admin
status: inactive
model_repo: khanhnto/khanhnto
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'top_k': 50, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 1, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:'}
reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:'}
timestamp: 2024-04-02T15:43:48+00:00
model_name: auto_submit_ricum_legeyehape
model_eval_status: success
safety_score: 0.97
entertaining: 6.68
stay_in_character: 8.04
user_preference: 7.08
double_thumbs_up: 229
thumbs_up: 403
thumbs_down: 250
num_battles: 25022
num_wins: 10132
win_ratio: 0.40492366717288786
celo_rating: 1087.0
Resubmit model
Running pipeline stage MKMLizer
Starting job with name khanhnto-khanhnto-v68-mkmlizer
Waiting for job on khanhnto-khanhnto-v68-mkmlizer to finish
khanhnto-khanhnto-v68-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
khanhnto-khanhnto-v68-mkmlizer: ║ _____ __ __ ║
khanhnto-khanhnto-v68-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
khanhnto-khanhnto-v68-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
khanhnto-khanhnto-v68-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
khanhnto-khanhnto-v68-mkmlizer: ║ /___/ ║
khanhnto-khanhnto-v68-mkmlizer: ║ ║
khanhnto-khanhnto-v68-mkmlizer: ║ Version: 0.6.11 ║
khanhnto-khanhnto-v68-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
khanhnto-khanhnto-v68-mkmlizer: ║ ║
khanhnto-khanhnto-v68-mkmlizer: ║ The license key for the current software has been verified as ║
khanhnto-khanhnto-v68-mkmlizer: ║ belonging to: ║
khanhnto-khanhnto-v68-mkmlizer: ║ ║
khanhnto-khanhnto-v68-mkmlizer: ║ Chai Research Corp. ║
khanhnto-khanhnto-v68-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
khanhnto-khanhnto-v68-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
khanhnto-khanhnto-v68-mkmlizer: ║ ║
khanhnto-khanhnto-v68-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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Failed to get response for submission hflserdaniel-chai-s6-13_2318_v12: ('http://hflserdaniel-chai-s6-13-2318-v12-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:51424->127.0.0.1:8080: read: connection reset by peer\n')
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khanhnto-khanhnto-v68-mkmlizer: Downloaded to shared memory in 37.558s
khanhnto-khanhnto-v68-mkmlizer: quantizing model to /dev/shm/model_cache
khanhnto-khanhnto-v68-mkmlizer: Saving mkml model at /dev/shm/model_cache
khanhnto-khanhnto-v68-mkmlizer: Reading /tmp/tmpi9elv6p3/model.safetensors.index.json
khanhnto-khanhnto-v68-mkmlizer: Profiling: 0%| | 0/363 [00:00<?, ?it/s] Profiling: 0%| | 1/363 [00:01<09:32, 1.58s/it] Profiling: 4%|▎ | 13/363 [00:01<00:33, 10.46it/s] Profiling: 8%|▊ | 28/363 [00:01<00:13, 25.04it/s] Profiling: 11%|█▏ | 41/363 [00:01<00:08, 38.52it/s] Profiling: 16%|█▌ | 58/363 [00:02<00:05, 58.22it/s] Profiling: 20%|█▉ | 71/363 [00:02<00:05, 52.08it/s] Profiling: 22%|██▏ | 81/363 [00:02<00:04, 59.01it/s] Profiling: 27%|██▋ | 97/363 [00:02<00:03, 77.31it/s] Profiling: 30%|███ | 109/363 [00:02<00:03, 84.64it/s] Profiling: 34%|███▍ | 123/363 [00:02<00:02, 96.21it/s] Profiling: 38%|███▊ | 138/363 [00:02<00:02, 108.47it/s] Profiling: 42%|████▏ | 151/363 [00:03<00:02, 72.04it/s] Profiling: 45%|████▌ | 165/363 [00:03<00:02, 84.44it/s] Profiling: 49%|████▉ | 179/363 [00:03<00:01, 95.47it/s] Profiling: 53%|█████▎ | 194/363 [00:03<00:01, 104.89it/s] Profiling: 58%|█████▊ | 209/363 [00:03<00:01, 79.96it/s] Profiling: 61%|██████ | 221/363 [00:03<00:01, 86.41it/s] Profiling: 66%|██████▌ | 238/363 [00:03<00:01, 101.49it/s] Profiling: 70%|███████ | 255/363 [00:04<00:00, 114.53it/s] Profiling: 74%|███████▍ | 270/363 [00:04<00:00, 121.76it/s] Profiling: 78%|███████▊ | 284/363 [00:04<00:00, 82.76it/s] Profiling: 83%|████████▎ | 301/363 [00:04<00:00, 97.54it/s] Profiling: 88%|████████▊ | 318/363 [00:04<00:00, 109.95it/s] Profiling: 91%|█████████▏| 332/363 [00:04<00:00, 116.23it/s] Profiling: 96%|█████████▌| 347/363 [00:04<00:00, 124.49it/s] Profiling: 99%|█████████▉| 361/363 [00:06<00:00, 24.51it/s] Profiling: 100%|██████████| 363/363 [00:06<00:00, 53.96it/s]
khanhnto-khanhnto-v68-mkmlizer: quantized model in 23.803s
khanhnto-khanhnto-v68-mkmlizer: Processed model khanhnto/khanhnto in 62.937s
khanhnto-khanhnto-v68-mkmlizer: creating bucket guanaco-mkml-models
khanhnto-khanhnto-v68-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
khanhnto-khanhnto-v68-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/khanhnto-khanhnto-v68
khanhnto-khanhnto-v68-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v68/config.json
khanhnto-khanhnto-v68-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/khanhnto-khanhnto-v68/added_tokens.json
khanhnto-khanhnto-v68-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/khanhnto-khanhnto-v68/special_tokens_map.json
khanhnto-khanhnto-v68-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v68/tokenizer_config.json
khanhnto-khanhnto-v68-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/khanhnto-khanhnto-v68/tokenizer.model
khanhnto-khanhnto-v68-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/khanhnto-khanhnto-v68/tokenizer.json
khanhnto-khanhnto-v68-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/khanhnto-khanhnto-v68/mkml_model.tensors
khanhnto-khanhnto-v68-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
khanhnto-khanhnto-v68-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
khanhnto-khanhnto-v68-mkmlizer: warnings.warn(
khanhnto-khanhnto-v68-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 12.4MB/s]
khanhnto-khanhnto-v68-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
khanhnto-khanhnto-v68-mkmlizer: warnings.warn(
khanhnto-khanhnto-v68-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 3.28MB/s]
khanhnto-khanhnto-v68-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 12.8MB/s]
khanhnto-khanhnto-v68-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 12.6MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 12.5MB/s]
khanhnto-khanhnto-v68-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
khanhnto-khanhnto-v68-mkmlizer: warnings.warn(
khanhnto-khanhnto-v68-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:26, 53.4MB/s] pytorch_model.bin: 5%|▌ | 73.4M/1.44G [00:00<00:05, 270MB/s] pytorch_model.bin: 12%|█▏ | 168M/1.44G [00:00<00:03, 423MB/s] pytorch_model.bin: 15%|█▌ | 220M/1.44G [00:00<00:02, 452MB/s] pytorch_model.bin: 21%|██ | 304M/1.44G [00:00<00:02, 565MB/s] pytorch_model.bin: 25%|██▌ | 367M/1.44G [00:00<00:01, 557MB/s] pytorch_model.bin: 30%|██▉ | 430M/1.44G [00:00<00:01, 530MB/s] pytorch_model.bin: 44%|████▎ | 629M/1.44G [00:01<00:00, 930MB/s] pytorch_model.bin: 84%|████████▍ | 1.21G/1.44G [00:01<00:00, 2.31GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:05<00:00, 271MB/s]
khanhnto-khanhnto-v68-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
khanhnto-khanhnto-v68-mkmlizer: Saving duration: 0.218s
khanhnto-khanhnto-v68-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.486s
khanhnto-khanhnto-v68-mkmlizer: creating bucket guanaco-reward-models
khanhnto-khanhnto-v68-mkmlizer: Bucket 's3://guanaco-reward-models/' created
khanhnto-khanhnto-v68-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/khanhnto-khanhnto-v68_reward
khanhnto-khanhnto-v68-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/khanhnto-khanhnto-v68_reward/special_tokens_map.json
khanhnto-khanhnto-v68-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/khanhnto-khanhnto-v68_reward/config.json
khanhnto-khanhnto-v68-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/khanhnto-khanhnto-v68_reward/tokenizer_config.json
khanhnto-khanhnto-v68-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/khanhnto-khanhnto-v68_reward/vocab.json
khanhnto-khanhnto-v68-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/khanhnto-khanhnto-v68_reward/merges.txt
khanhnto-khanhnto-v68-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/khanhnto-khanhnto-v68_reward/tokenizer.json
khanhnto-khanhnto-v68-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/khanhnto-khanhnto-v68_reward/reward.tensors
Job khanhnto-khanhnto-v68-mkmlizer completed after 96.02s with status: succeeded
Stopping job with name khanhnto-khanhnto-v68-mkmlizer
Pipeline stage MKMLizer completed in 97.55s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service khanhnto-khanhnto-v68
Waiting for inference service khanhnto-khanhnto-v68 to be ready
Inference service khanhnto-khanhnto-v68 ready after 60.32658934593201s
Pipeline stage ISVCDeployer completed in 66.29s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7940089702606201s
Received healthy response to inference request in 0.8312287330627441s
Received healthy response to inference request in 1.427816390991211s
Received healthy response to inference request in 1.111088752746582s
Received healthy response to inference request in 0.884915828704834s
5 requests
0 failed requests
5th percentile: 0.8419661521911621
10th percentile: 0.8527035713195801
20th percentile: 0.874178409576416
30th percentile: 0.9301504135131836
40th percentile: 1.0206195831298828
50th percentile: 1.111088752746582
60th percentile: 1.2377798080444335
70th percentile: 1.364470863342285
80th percentile: 1.501054906845093
90th percentile: 1.6475319385528564
95th percentile: 1.7207704544067381
99th percentile: 1.7793612670898438
mean time: 1.2098117351531983
Pipeline stage StressChecker completed in 7.30s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.06s
M-Eval Dataset for topic stay_in_character is loaded
khanhnto-khanhnto_v68 status is now deployed due to DeploymentManager action
khanhnto-khanhnto_v68 status is now inactive due to auto deactivation removed underperforming models

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