submission_id: hflserdaniel-chai-s6-13_2318_v14
developer_uid: chai_backend_admin
status: inactive
model_repo: hflserdaniel/chai_s6_13b_slp3
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 0.8, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['<|im_end|>', '</s>', '<|endoftext|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 96}
formatter: {'memory_template': "### Instruction:\n As the assistant, your task is to become the assigned character, weaving engaging stories that fully embrace their personality and background. Ensure your responses capture the essence of the character's traits accurately, immersing users in emotional, suspenseful, and anticipatory narratives. Craft more detailed and descriptive replies to enhance the vividness of the story. Foster an interactive environment by introducing new elements, providing choices, or posing questions to encourage active user participation. Think of the conversation as a continuous dance, always unfolding and evolving.\nYour character: {bot_name}.\nContext:{memory}\n", 'prompt_template': 'Example conversation:\n{prompt}\n', 'bot_template': '### Response:\n{bot_name}: {message}\n', 'user_template': '### Input:\n{user_name}: {message}\n', 'response_template': '### Response:\n{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: 2024-03-31T01:59:02+00:00
model_name: chai_s6_13b_slp3-96
model_eval_status: success
safety_score: None
entertaining: 6.96
stay_in_character: 8.71
user_preference: 7.52
double_thumbs_up: 3357
thumbs_up: 4692
thumbs_down: 2186
num_battles: 314212
num_wins: 167479
win_ratio: 0.5330127429888101
celo_rating: 1179.95
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hflserdaniel-chai-s6-13-2318-v14-mkmlizer
Waiting for job on hflserdaniel-chai-s6-13-2318-v14-mkmlizer to finish
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ║ _____ __ __ ║
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ║ /___/ ║
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ║ Version: 0.6.11 ║
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ║ The license key for the current software has been verified as ║
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ║ belonging to: ║
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ║ Chai Research Corp. ║
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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hflserdaniel-chai-s6-13-2318-v14-mkmlizer: Downloaded to shared memory in 72.376s
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: quantizing model to /dev/shm/model_cache
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: Saving mkml model at /dev/shm/model_cache
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: Reading /tmp/tmprzhkzgom/model.safetensors.index.json
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: Profiling: 0%| | 0/363 [00:00<?, ?it/s] Profiling: 0%| | 1/363 [00:01<10:19, 1.71s/it] Profiling: 2%|▏ | 9/363 [00:01<00:53, 6.68it/s] Profiling: 5%|▍ | 18/363 [00:01<00:23, 14.88it/s] Profiling: 7%|▋ | 27/363 [00:02<00:13, 24.07it/s] Profiling: 10%|█ | 37/363 [00:02<00:09, 35.06it/s] Profiling: 13%|█▎ | 48/363 [00:02<00:06, 47.05it/s] Profiling: 16%|█▌ | 58/363 [00:02<00:05, 55.91it/s] Profiling: 19%|█▉ | 70/363 [00:02<00:04, 67.96it/s] Profiling: 22%|██▏ | 80/363 [00:02<00:03, 72.89it/s] Profiling: 25%|██▌ | 91/363 [00:02<00:03, 81.73it/s] Profiling: 28%|██▊ | 102/363 [00:02<00:02, 87.66it/s] Profiling: 31%|███▏ | 114/363 [00:02<00:02, 92.62it/s] Profiling: 34%|███▍ | 125/363 [00:03<00:02, 90.19it/s] Profiling: 37%|███▋ | 136/363 [00:03<00:02, 95.23it/s] Profiling: 40%|████ | 147/363 [00:03<00:05, 39.25it/s] Profiling: 43%|████▎ | 157/363 [00:03<00:04, 46.58it/s] Profiling: 46%|████▌ | 167/363 [00:04<00:03, 53.89it/s] Profiling: 49%|████▉ | 178/363 [00:04<00:02, 63.53it/s] Profiling: 52%|█████▏ | 188/363 [00:04<00:02, 70.70it/s] Profiling: 55%|█████▍ | 198/363 [00:04<00:02, 77.16it/s] Profiling: 58%|█████▊ | 209/363 [00:04<00:01, 85.06it/s] Profiling: 60%|██████ | 219/363 [00:04<00:01, 87.09it/s] Profiling: 63%|██████▎ | 229/363 [00:04<00:01, 88.45it/s] Profiling: 66%|██████▌ | 239/363 [00:04<00:01, 89.01it/s] Profiling: 69%|██████▉ | 251/363 [00:04<00:01, 95.97it/s] Profiling: 72%|███████▏ | 262/363 [00:04<00:01, 98.98it/s] Profiling: 75%|███████▌ | 273/363 [00:05<00:00, 99.55it/s] Profiling: 78%|███████▊ | 284/363 [00:07<00:05, 13.67it/s] Profiling: 81%|████████ | 293/363 [00:07<00:03, 17.56it/s] Profiling: 83%|████████▎ | 303/363 [00:07<00:02, 22.84it/s] Profiling: 86%|████████▌ | 313/363 [00:07<00:01, 29.54it/s] Profiling: 89%|████████▊ | 322/363 [00:07<00:01, 35.76it/s] Profiling: 91%|█████████ | 331/363 [00:08<00:00, 42.51it/s] Profiling: 94%|█████████▎| 340/363 [00:08<00:00, 49.88it/s] Profiling: 97%|█████████▋| 351/363 [00:08<00:00, 60.49it/s] Profiling: 99%|█████████▉| 361/363 [00:08<00:00, 68.46it/s] Profiling: 100%|██████████| 363/363 [00:08<00:00, 41.93it/s]
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: quantized model in 28.533s
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: Processed model hflserdaniel/chai_s6_13b_slp3 in 102.835s
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: creating bucket guanaco-mkml-models
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v14
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v14/added_tokens.json
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v14/config.json
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v14/special_tokens_map.json
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v14/tokenizer_config.json
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v14/tokenizer.model
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v14/tokenizer.json
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v14/mkml_model.tensors
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
hflserdaniel-chai-s6-13-2318-v14-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.
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: warnings.warn(
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 13.5MB/s]
hflserdaniel-chai-s6-13-2318-v14-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.
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: warnings.warn(
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 3.37MB/s]
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 11.7MB/s]
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 19.8MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 19.7MB/s]
hflserdaniel-chai-s6-13-2318-v14-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.
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: warnings.warn(
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:08, 169MB/s] pytorch_model.bin: 4%|▍ | 62.9M/1.44G [00:00<00:04, 279MB/s] pytorch_model.bin: 13%|█▎ | 189M/1.44G [00:00<00:02, 566MB/s] pytorch_model.bin: 20%|██ | 294M/1.44G [00:00<00:01, 710MB/s] pytorch_model.bin: 28%|██▊ | 398M/1.44G [00:00<00:01, 796MB/s] pytorch_model.bin: 36%|███▋ | 524M/1.44G [00:00<00:01, 830MB/s] pytorch_model.bin: 42%|████▏ | 608M/1.44G [00:00<00:01, 767MB/s] pytorch_model.bin: 52%|█████▏ | 755M/1.44G [00:00<00:00, 953MB/s] pytorch_model.bin: 76%|███████▌ | 1.10G/1.44G [00:01<00:00, 1.64GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.26GB/s]
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: Saving duration: 0.256s
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 5.294s
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: creating bucket guanaco-reward-models
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v14_reward
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v14_reward/tokenizer_config.json
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v14_reward/config.json
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v14_reward/special_tokens_map.json
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v14_reward/merges.txt
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v14_reward/vocab.json
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v14_reward/tokenizer.json
hflserdaniel-chai-s6-13-2318-v14-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v14_reward/reward.tensors
Job hflserdaniel-chai-s6-13-2318-v14-mkmlizer completed after 137.59s with status: succeeded
Stopping job with name hflserdaniel-chai-s6-13-2318-v14-mkmlizer
Pipeline stage MKMLizer completed in 139.24s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service hflserdaniel-chai-s6-13-2318-v14
Waiting for inference service hflserdaniel-chai-s6-13-2318-v14 to be ready
Inference service hflserdaniel-chai-s6-13-2318-v14 ready after 70.52409052848816s
Pipeline stage ISVCDeployer completed in 77.12s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7752771377563477s
Received healthy response to inference request in 2.3203067779541016s
Received healthy response to inference request in 2.2853329181671143s
Received healthy response to inference request in 2.598872423171997s
Received healthy response to inference request in 2.006380796432495s
5 requests
0 failed requests
5th percentile: 2.062171220779419
10th percentile: 2.1179616451263428
20th percentile: 2.2295424938201904
30th percentile: 2.2923276901245115
40th percentile: 2.3063172340393066
50th percentile: 2.3203067779541016
60th percentile: 2.4317330360412597
70th percentile: 2.543159294128418
80th percentile: 2.634153366088867
90th percentile: 2.7047152519226074
95th percentile: 2.7399961948394775
99th percentile: 2.7682209491729735
mean time: 2.397234010696411
Pipeline stage StressChecker completed in 12.84s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.09s
hflserdaniel-chai-s6-13_2318_v14 status is now deployed due to DeploymentManager action
hflserdaniel-chai-s6-13_2318_v14 status is now inactive due to auto deactivation removed underperforming models

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