submission_id: khanhnto-khanhnto_v63
developer_uid: chai_backend_admin
status: inactive
model_repo: khanhnto/khanhnto
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.2, 'top_p': 0.7, 'top_k': 50, 'presence_penalty': 0.8, 'frequency_penalty': 0.2, 'stopping_words': ['\n', '<\\s>', '###'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 48}
formatter: {'memory_template': "### Instruction:\n\n{bot_name}'s Persona: {memory}.\n\nPlay the role of {bot_name}. Engage in a chat with {user_name} while stay in character. Do not write dialogues and narration for {user_name}. {bot_name} should response with messages of medium length.", 'prompt_template': '{prompt}\n\n', 'bot_template': '### Response:\n\n{bot_name}: {message}\n\n', 'user_template': '### Input:\n\n{user_name}: {message}\n\n', 'response_template': '### Response:\n\n{bot_name}:'}
reward_formatter: {'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:'}
timestamp: 2024-03-31T01:48:30+00:00
model_name: khanhnto-48
model_eval_status: success
safety_score: None
entertaining: 6.68
stay_in_character: 8.29
user_preference: 7.32
double_thumbs_up: 1337
thumbs_up: 1999
thumbs_down: 911
num_battles: 129630
num_wins: 58432
win_ratio: 0.45075985497184295
celo_rating: 1118.48
Resubmit model
Running pipeline stage MKMLizer
Starting job with name khanhnto-khanhnto-v63-mkmlizer
Waiting for job on khanhnto-khanhnto-v63-mkmlizer to finish
khanhnto-khanhnto-v63-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
khanhnto-khanhnto-v63-mkmlizer: ║ _____ __ __ ║
khanhnto-khanhnto-v63-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
khanhnto-khanhnto-v63-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
khanhnto-khanhnto-v63-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
khanhnto-khanhnto-v63-mkmlizer: ║ /___/ ║
khanhnto-khanhnto-v63-mkmlizer: ║ ║
khanhnto-khanhnto-v63-mkmlizer: ║ Version: 0.6.11 ║
khanhnto-khanhnto-v63-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
khanhnto-khanhnto-v63-mkmlizer: ║ ║
khanhnto-khanhnto-v63-mkmlizer: ║ The license key for the current software has been verified as ║
khanhnto-khanhnto-v63-mkmlizer: ║ belonging to: ║
khanhnto-khanhnto-v63-mkmlizer: ║ ║
khanhnto-khanhnto-v63-mkmlizer: ║ Chai Research Corp. ║
khanhnto-khanhnto-v63-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
khanhnto-khanhnto-v63-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
khanhnto-khanhnto-v63-mkmlizer: ║ ║
khanhnto-khanhnto-v63-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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khanhnto-khanhnto-v63-mkmlizer: Downloaded to shared memory in 20.631s
khanhnto-khanhnto-v63-mkmlizer: quantizing model to /dev/shm/model_cache
khanhnto-khanhnto-v63-mkmlizer: Saving mkml model at /dev/shm/model_cache
khanhnto-khanhnto-v63-mkmlizer: Reading /tmp/tmpmbi3o_48/model.safetensors.index.json
khanhnto-khanhnto-v63-mkmlizer: Profiling: 0%| | 0/363 [00:00<?, ?it/s] Profiling: 0%| | 1/363 [00:01<08:42, 1.44s/it] Profiling: 4%|▎ | 13/363 [00:01<00:30, 11.37it/s] Profiling: 8%|▊ | 28/363 [00:01<00:12, 27.00it/s] Profiling: 11%|█▏ | 41/363 [00:01<00:07, 40.72it/s] Profiling: 16%|█▌ | 57/363 [00:01<00:05, 59.76it/s] Profiling: 19%|█▉ | 70/363 [00:02<00:05, 51.56it/s] Profiling: 23%|██▎ | 83/363 [00:02<00:04, 63.92it/s] Profiling: 27%|██▋ | 98/363 [00:02<00:03, 78.82it/s] Profiling: 31%|███ | 113/363 [00:02<00:02, 93.50it/s] Profiling: 35%|███▍ | 127/363 [00:02<00:02, 103.26it/s] Profiling: 39%|███▊ | 140/363 [00:02<00:03, 73.59it/s] Profiling: 42%|████▏ | 154/363 [00:03<00:02, 85.77it/s] Profiling: 46%|████▌ | 167/363 [00:03<00:02, 94.29it/s] Profiling: 51%|█████ | 184/363 [00:03<00:01, 108.64it/s] Profiling: 55%|█████▌ | 200/363 [00:03<00:01, 121.10it/s] Profiling: 59%|█████▉ | 214/363 [00:03<00:01, 77.05it/s] Profiling: 63%|██████▎ | 229/363 [00:03<00:01, 89.73it/s] Profiling: 68%|██████▊ | 246/363 [00:03<00:01, 103.24it/s] Profiling: 71%|███████▏ | 259/363 [00:03<00:00, 109.04it/s] Profiling: 75%|███████▌ | 273/363 [00:04<00:00, 114.48it/s] Profiling: 79%|███████▉ | 286/363 [00:04<00:01, 72.78it/s] Profiling: 83%|████████▎ | 301/363 [00:04<00:00, 85.26it/s] Profiling: 87%|████████▋ | 316/363 [00:04<00:00, 98.17it/s] Profiling: 91%|█████████ | 329/363 [00:04<00:00, 103.39it/s] Profiling: 95%|█████████▍| 344/363 [00:04<00:00, 113.59it/s] Profiling: 98%|█████████▊| 357/363 [00:06<00:00, 22.44it/s] Profiling: 100%|██████████| 363/363 [00:06<00:00, 54.06it/s]
khanhnto-khanhnto-v63-mkmlizer: quantized model in 24.361s
khanhnto-khanhnto-v63-mkmlizer: Processed model khanhnto/khanhnto in 46.779s
khanhnto-khanhnto-v63-mkmlizer: creating bucket guanaco-mkml-models
khanhnto-khanhnto-v63-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
khanhnto-khanhnto-v63-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/khanhnto-khanhnto-v63
khanhnto-khanhnto-v63-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v63/config.json
khanhnto-khanhnto-v63-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/khanhnto-khanhnto-v63/added_tokens.json
khanhnto-khanhnto-v63-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/khanhnto-khanhnto-v63/special_tokens_map.json
khanhnto-khanhnto-v63-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/khanhnto-khanhnto-v63/tokenizer.model
khanhnto-khanhnto-v63-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v63/tokenizer_config.json
khanhnto-khanhnto-v63-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/khanhnto-khanhnto-v63/tokenizer.json
khanhnto-khanhnto-v63-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/khanhnto-khanhnto-v63/mkml_model.tensors
khanhnto-khanhnto-v63-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
khanhnto-khanhnto-v63-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-v63-mkmlizer: warnings.warn(
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khanhnto-khanhnto-v63-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-v63-mkmlizer: warnings.warn(
khanhnto-khanhnto-v63-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.98MB/s]
khanhnto-khanhnto-v63-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 45.9MB/s]
khanhnto-khanhnto-v63-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 37.0MB/s]
khanhnto-khanhnto-v63-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-v63-mkmlizer: warnings.warn(
khanhnto-khanhnto-v63-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:18, 78.2MB/s] pytorch_model.bin: 4%|▎ | 52.4M/1.44G [00:00<00:05, 235MB/s] pytorch_model.bin: 6%|▌ | 83.9M/1.44G [00:00<00:05, 252MB/s] pytorch_model.bin: 11%|█ | 157M/1.44G [00:00<00:03, 394MB/s] pytorch_model.bin: 20%|██ | 294M/1.44G [00:00<00:01, 662MB/s] pytorch_model.bin: 28%|██▊ | 409M/1.44G [00:00<00:01, 808MB/s] pytorch_model.bin: 41%|████▏ | 598M/1.44G [00:00<00:00, 1.10GB/s] pytorch_model.bin: 54%|█████▍ | 786M/1.44G [00:00<00:00, 1.27GB/s] pytorch_model.bin: 65%|██████▍ | 933M/1.44G [00:01<00:00, 1.30GB/s] pytorch_model.bin: 93%|█████████▎| 1.34G/1.44G [00:01<00:00, 2.06GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.04GB/s]
khanhnto-khanhnto-v63-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
khanhnto-khanhnto-v63-mkmlizer: Saving duration: 0.468s
khanhnto-khanhnto-v63-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 4.755s
khanhnto-khanhnto-v63-mkmlizer: creating bucket guanaco-reward-models
khanhnto-khanhnto-v63-mkmlizer: Bucket 's3://guanaco-reward-models/' created
khanhnto-khanhnto-v63-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/khanhnto-khanhnto-v63_reward
khanhnto-khanhnto-v63-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/khanhnto-khanhnto-v63_reward/config.json
khanhnto-khanhnto-v63-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/khanhnto-khanhnto-v63_reward/special_tokens_map.json
khanhnto-khanhnto-v63-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/khanhnto-khanhnto-v63_reward/merges.txt
khanhnto-khanhnto-v63-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/khanhnto-khanhnto-v63_reward/vocab.json
khanhnto-khanhnto-v63-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/khanhnto-khanhnto-v63_reward/tokenizer_config.json
khanhnto-khanhnto-v63-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/khanhnto-khanhnto-v63_reward/tokenizer.json
khanhnto-khanhnto-v63-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/khanhnto-khanhnto-v63_reward/reward.tensors
Job khanhnto-khanhnto-v63-mkmlizer completed after 74.47s with status: succeeded
Stopping job with name khanhnto-khanhnto-v63-mkmlizer
Pipeline stage MKMLizer completed in 77.98s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service khanhnto-khanhnto-v63
Waiting for inference service khanhnto-khanhnto-v63 to be ready
Inference service khanhnto-khanhnto-v63 ready after 40.278650760650635s
Pipeline stage ISVCDeployer completed in 47.41s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.877716064453125s
Received healthy response to inference request in 1.233809471130371s
Received healthy response to inference request in 1.3810577392578125s
Received healthy response to inference request in 1.395538568496704s
Received healthy response to inference request in 1.3440394401550293s
5 requests
0 failed requests
5th percentile: 1.2558554649353026
10th percentile: 1.2779014587402344
20th percentile: 1.3219934463500977
30th percentile: 1.351443099975586
40th percentile: 1.3662504196166991
50th percentile: 1.3810577392578125
60th percentile: 1.386850070953369
70th percentile: 1.3926424026489257
80th percentile: 1.4919740676879885
90th percentile: 1.6848450660705567
95th percentile: 1.7812805652618406
99th percentile: 1.8584289646148682
mean time: 1.4464322566986083
Pipeline stage StressChecker completed in 8.04s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
khanhnto-khanhnto_v63 status is now deployed due to DeploymentManager action
khanhnto-khanhnto_v63 status is now inactive due to auto deactivation removed underperforming models
khanhnto-khanhnto_v63 status is now deployed due to admin request
khanhnto-khanhnto_v63 status is now inactive due to auto deactivation removed underperforming models

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