submission_id: hflserdaniel-chai-s6-13_2318_v19
developer_uid: chai_backend_admin
status: inactive
model_repo: hflserdaniel/chai_s6_13b_slp3
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: 2024-04-02T07:47:10+00:00
model_name: auto_submit_ricum_wipucesega
model_eval_status: success
safety_score: 0.95
entertaining: 6.82
stay_in_character: 8.25
user_preference: 7.18
double_thumbs_up: 63
thumbs_up: 78
thumbs_down: 50
num_battles: 5344
num_wins: 2334
win_ratio: 0.43675149700598803
celo_rating: 1117.45
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hflserdaniel-chai-s6-13-2318-v19-mkmlizer
Waiting for job on hflserdaniel-chai-s6-13-2318-v19-mkmlizer to finish
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ║ _____ __ __ ║
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ║ /___/ ║
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ║ Version: 0.6.11 ║
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ║ The license key for the current software has been verified as ║
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ║ belonging to: ║
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ║ Chai Research Corp. ║
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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hflserdaniel-chai-s6-13-2318-v19-mkmlizer: Downloaded to shared memory in 18.027s
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: quantizing model to /dev/shm/model_cache
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: Saving mkml model at /dev/shm/model_cache
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: Reading /tmp/tmpyjwkm_fb/model.safetensors.index.json
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: Profiling: 0%| | 0/363 [00:00<?, ?it/s] Profiling: 0%| | 1/363 [00:01<10:01, 1.66s/it] Profiling: 2%|▏ | 8/363 [00:01<00:58, 6.09it/s] Profiling: 5%|▍ | 17/363 [00:01<00:23, 14.54it/s] Profiling: 7%|▋ | 26/363 [00:01<00:14, 24.00it/s] Profiling: 10%|▉ | 35/363 [00:02<00:09, 34.00it/s] Profiling: 12%|█▏ | 44/363 [00:02<00:07, 43.90it/s] Profiling: 15%|█▍ | 53/363 [00:02<00:05, 53.09it/s] Profiling: 17%|█▋ | 62/363 [00:02<00:04, 61.16it/s] Profiling: 20%|█▉ | 72/363 [00:02<00:04, 70.31it/s] Profiling: 22%|██▏ | 81/363 [00:02<00:03, 75.14it/s] Profiling: 25%|██▍ | 90/363 [00:02<00:03, 76.89it/s] Profiling: 27%|██▋ | 99/363 [00:02<00:03, 80.07it/s] Profiling: 30%|██▉ | 108/363 [00:02<00:03, 82.44it/s] Profiling: 32%|███▏ | 117/363 [00:02<00:02, 84.43it/s] Profiling: 35%|███▍ | 127/363 [00:03<00:02, 87.26it/s] Profiling: 37%|███▋ | 136/363 [00:03<00:02, 87.96it/s] Profiling: 40%|███▉ | 145/363 [00:03<00:06, 33.70it/s] Profiling: 42%|████▏ | 154/363 [00:03<00:05, 41.24it/s] Profiling: 45%|████▍ | 163/363 [00:04<00:04, 48.96it/s] Profiling: 47%|████▋ | 172/363 [00:04<00:03, 56.37it/s] Profiling: 50%|████▉ | 181/363 [00:04<00:02, 62.94it/s] Profiling: 52%|█████▏ | 190/363 [00:04<00:02, 69.00it/s] Profiling: 55%|█████▍ | 199/363 [00:04<00:02, 74.03it/s] Profiling: 57%|█████▋ | 208/363 [00:04<00:01, 77.89it/s] Profiling: 60%|█████▉ | 217/363 [00:04<00:01, 80.42it/s] Profiling: 62%|██████▏ | 226/363 [00:04<00:01, 82.96it/s] Profiling: 65%|██████▍ | 235/363 [00:04<00:01, 84.70it/s] Profiling: 67%|██████▋ | 244/363 [00:04<00:01, 85.30it/s] Profiling: 70%|██████▉ | 253/363 [00:05<00:01, 85.48it/s] Profiling: 72%|███████▏ | 262/363 [00:05<00:01, 86.54it/s] Profiling: 75%|███████▍ | 271/363 [00:05<00:01, 87.41it/s] Profiling: 77%|███████▋ | 280/363 [00:07<00:06, 12.04it/s] Profiling: 80%|███████▉ | 290/363 [00:07<00:04, 16.79it/s] Profiling: 83%|████████▎ | 300/363 [00:07<00:02, 22.76it/s] Profiling: 85%|████████▌ | 309/363 [00:07<00:01, 28.97it/s] Profiling: 88%|████████▊ | 318/363 [00:07<00:01, 36.07it/s] Profiling: 90%|█████████ | 328/363 [00:08<00:00, 44.01it/s] Profiling: 93%|█████████▎| 337/363 [00:08<00:00, 51.60it/s] Profiling: 95%|█████████▌| 346/363 [00:08<00:00, 58.95it/s] Profiling: 98%|█████████▊| 356/363 [00:08<00:00, 64.81it/s] Profiling: 100%|██████████| 363/363 [00:08<00:00, 41.54it/s]
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: quantized model in 28.761s
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: Processed model hflserdaniel/chai_s6_13b_slp3 in 48.701s
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: creating bucket guanaco-mkml-models
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v19
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v19/config.json
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v19/tokenizer_config.json
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v19/added_tokens.json
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v19/special_tokens_map.json
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v19/tokenizer.model
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v19/tokenizer.json
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v19/mkml_model.tensors
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hflserdaniel-chai-s6-13-2318-v19-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-v19-mkmlizer: warnings.warn(
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hflserdaniel-chai-s6-13-2318-v19-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-v19-mkmlizer: warnings.warn(
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.85MB/s]
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 52.3MB/s]
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 27.1MB/s]
hflserdaniel-chai-s6-13-2318-v19-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-v19-mkmlizer: warnings.warn(
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:15, 93.5MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:00<00:06, 203MB/s] pytorch_model.bin: 4%|▍ | 62.9M/1.44G [00:00<00:12, 112MB/s] pytorch_model.bin: 9%|▊ | 126M/1.44G [00:00<00:05, 228MB/s] pytorch_model.bin: 12%|█▏ | 178M/1.44G [00:00<00:04, 294MB/s] pytorch_model.bin: 17%|█▋ | 241M/1.44G [00:00<00:03, 376MB/s] pytorch_model.bin: 24%|██▍ | 346M/1.44G [00:00<00:02, 545MB/s] pytorch_model.bin: 34%|███▍ | 493M/1.44G [00:01<00:01, 787MB/s] pytorch_model.bin: 43%|████▎ | 619M/1.44G [00:01<00:00, 905MB/s] pytorch_model.bin: 52%|█████▏ | 753M/1.44G [00:01<00:00, 987MB/s] pytorch_model.bin: 62%|██████▏ | 899M/1.44G [00:01<00:00, 1.12GB/s] pytorch_model.bin: 71%|███████ | 1.03G/1.44G [00:01<00:00, 966MB/s] pytorch_model.bin: 96%|█████████▌| 1.38G/1.44G [00:01<00:00, 1.48GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 531MB/s]
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: Saving duration: 0.296s
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.299s
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: creating bucket guanaco-reward-models
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v19_reward
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v19_reward/tokenizer_config.json
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v19_reward/config.json
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v19_reward/special_tokens_map.json
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v19_reward/merges.txt
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v19_reward/vocab.json
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v19_reward/tokenizer.json
hflserdaniel-chai-s6-13-2318-v19-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v19_reward/reward.tensors
Job hflserdaniel-chai-s6-13-2318-v19-mkmlizer completed after 74.84s with status: succeeded
Stopping job with name hflserdaniel-chai-s6-13-2318-v19-mkmlizer
Pipeline stage MKMLizer completed in 79.01s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service hflserdaniel-chai-s6-13-2318-v19
Waiting for inference service hflserdaniel-chai-s6-13-2318-v19 to be ready
%s
%s
Tearing down inference service hflserdaniel-chai-s6-13-2318-v19
%s, retrying in %s seconds...
Creating inference service hflserdaniel-chai-s6-13-2318-v19
Waiting for inference service hflserdaniel-chai-s6-13-2318-v19 to be ready
Inference service hflserdaniel-chai-s6-13-2318-v19 ready after 70.349928855896s
Pipeline stage ISVCDeployer completed in 686.08s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.043370485305786s
Received healthy response to inference request in 0.8878862857818604s
Received healthy response to inference request in 1.3485095500946045s
Received healthy response to inference request in 1.3574962615966797s
Received healthy response to inference request in 1.439596176147461s
5 requests
0 failed requests
5th percentile: 0.9800109386444091
10th percentile: 1.072135591506958
20th percentile: 1.2563848972320557
30th percentile: 1.3503068923950194
40th percentile: 1.3539015769958496
50th percentile: 1.3574962615966797
60th percentile: 1.3903362274169921
70th percentile: 1.4231761932373046
80th percentile: 1.560351037979126
90th percentile: 1.8018607616424562
95th percentile: 1.922615623474121
99th percentile: 2.0192195129394532
mean time: 1.4153717517852784
Pipeline stage StressChecker completed in 7.93s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.06s
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 0.08s
hflserdaniel-chai-s6-13_2318_v19 status is now deployed due to DeploymentManager action
hflserdaniel-chai-s6-13_2318_v19 status is now inactive due to auto deactivation removed underperforming models

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