submission_id: khanhnto-khanhnto_v60
developer_uid: chai_backend_admin
status: inactive
model_repo: khanhnto/khanhnto
reward_repo: rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99
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': 96}
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: 2024-03-31T01:30:02+00:00
model_name: khanhnto-96
model_eval_status: success
safety_score: 0.98
entertaining: 6.88
stay_in_character: 8.35
user_preference: 7.1
double_thumbs_up: 172
thumbs_up: 227
thumbs_down: 127
num_battles: 21115
num_wins: 10593
win_ratio: 0.5016812692398769
celo_rating: 1158.66
Resubmit model
Running pipeline stage MKMLizer
Starting job with name khanhnto-khanhnto-v60-mkmlizer
Waiting for job on khanhnto-khanhnto-v60-mkmlizer to finish
Stopping job with name khanhnto-khanhnto-v60-mkmlizer
%s, retrying in %s seconds...
Starting job with name khanhnto-khanhnto-v60-mkmlizer
Waiting for job on khanhnto-khanhnto-v60-mkmlizer to finish
Running pipeline stage MKMLizer
Starting job with name khanhnto-khanhnto-v61-mkmlizer
Waiting for job on khanhnto-khanhnto-v61-mkmlizer to finish
khanhnto-khanhnto-v61-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
khanhnto-khanhnto-v61-mkmlizer: ║ _____ __ __ ║
khanhnto-khanhnto-v61-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
khanhnto-khanhnto-v61-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
khanhnto-khanhnto-v61-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
khanhnto-khanhnto-v61-mkmlizer: ║ /___/ ║
khanhnto-khanhnto-v61-mkmlizer: ║ ║
khanhnto-khanhnto-v61-mkmlizer: ║ Version: 0.6.11 ║
khanhnto-khanhnto-v61-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
khanhnto-khanhnto-v61-mkmlizer: ║ ║
khanhnto-khanhnto-v61-mkmlizer: ║ The license key for the current software has been verified as ║
khanhnto-khanhnto-v61-mkmlizer: ║ belonging to: ║
khanhnto-khanhnto-v61-mkmlizer: ║ ║
khanhnto-khanhnto-v61-mkmlizer: ║ Chai Research Corp. ║
khanhnto-khanhnto-v61-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
khanhnto-khanhnto-v61-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
khanhnto-khanhnto-v61-mkmlizer: ║ ║
khanhnto-khanhnto-v61-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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khanhnto-khanhnto-v60-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
khanhnto-khanhnto-v60-mkmlizer: ║ _____ __ __ ║
khanhnto-khanhnto-v60-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
khanhnto-khanhnto-v60-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
khanhnto-khanhnto-v60-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
khanhnto-khanhnto-v60-mkmlizer: ║ /___/ ║
khanhnto-khanhnto-v60-mkmlizer: ║ ║
khanhnto-khanhnto-v60-mkmlizer: ║ Version: 0.6.11 ║
khanhnto-khanhnto-v60-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
khanhnto-khanhnto-v60-mkmlizer: ║ ║
khanhnto-khanhnto-v60-mkmlizer: ║ The license key for the current software has been verified as ║
khanhnto-khanhnto-v60-mkmlizer: ║ belonging to: ║
khanhnto-khanhnto-v60-mkmlizer: ║ ║
khanhnto-khanhnto-v60-mkmlizer: ║ Chai Research Corp. ║
khanhnto-khanhnto-v60-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
khanhnto-khanhnto-v60-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
khanhnto-khanhnto-v60-mkmlizer: ║ ║
khanhnto-khanhnto-v60-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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khanhnto-khanhnto-v60-mkmlizer: Downloaded to shared memory in 22.738s
khanhnto-khanhnto-v60-mkmlizer: quantizing model to /dev/shm/model_cache
khanhnto-khanhnto-v60-mkmlizer: Saving mkml model at /dev/shm/model_cache
khanhnto-khanhnto-v60-mkmlizer: Reading /tmp/tmpfn6_xfzi/model.safetensors.index.json
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khanhnto-khanhnto-v61-mkmlizer: Processed model khanhnto/khanhnto in 61.966s
khanhnto-khanhnto-v61-mkmlizer: creating bucket guanaco-mkml-models
khanhnto-khanhnto-v61-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
khanhnto-khanhnto-v61-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/khanhnto-khanhnto-v61
khanhnto-khanhnto-v61-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v61/config.json
khanhnto-khanhnto-v61-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/khanhnto-khanhnto-v61/added_tokens.json
khanhnto-khanhnto-v61-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/khanhnto-khanhnto-v61/special_tokens_map.json
khanhnto-khanhnto-v61-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/khanhnto-khanhnto-v61/tokenizer.model
khanhnto-khanhnto-v61-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v61/tokenizer_config.json
khanhnto-khanhnto-v61-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/khanhnto-khanhnto-v61/tokenizer.json
khanhnto-khanhnto-v61-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/khanhnto-khanhnto-v61/mkml_model.tensors
khanhnto-khanhnto-v61-mkmlizer: loading reward model from rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99
khanhnto-khanhnto-v61-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-v61-mkmlizer: warnings.warn(
khanhnto-khanhnto-v61-mkmlizer: config.json: 0%| | 0.00/983 [00:00<?, ?B/s] config.json: 100%|██████████| 983/983 [00:00<00:00, 10.3MB/s]
khanhnto-khanhnto-v61-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-v61-mkmlizer: warnings.warn(
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khanhnto-khanhnto-v61-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-v61-mkmlizer: warnings.warn(
khanhnto-khanhnto-v60-mkmlizer: quantized model in 25.920s
khanhnto-khanhnto-v60-mkmlizer: Processed model khanhnto/khanhnto in 50.331s
khanhnto-khanhnto-v60-mkmlizer: creating bucket guanaco-mkml-models
khanhnto-khanhnto-v60-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
khanhnto-khanhnto-v60-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/khanhnto-khanhnto-v60
khanhnto-khanhnto-v60-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v60/config.json
khanhnto-khanhnto-v60-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/khanhnto-khanhnto-v60/special_tokens_map.json
khanhnto-khanhnto-v60-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v60/tokenizer_config.json
khanhnto-khanhnto-v60-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/khanhnto-khanhnto-v60/added_tokens.json
khanhnto-khanhnto-v60-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/khanhnto-khanhnto-v60/tokenizer.model
khanhnto-khanhnto-v60-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/khanhnto-khanhnto-v60/tokenizer.json
khanhnto-khanhnto-v61-mkmlizer: Bucket 's3://guanaco-reward-models/' created
khanhnto-khanhnto-v61-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/khanhnto-khanhnto-v61_reward
khanhnto-khanhnto-v61-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/khanhnto-khanhnto-v61_reward/config.json
khanhnto-khanhnto-v61-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/khanhnto-khanhnto-v61_reward/tokenizer_config.json
khanhnto-khanhnto-v61-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/khanhnto-khanhnto-v61_reward/special_tokens_map.json
khanhnto-khanhnto-v61-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/khanhnto-khanhnto-v61_reward/vocab.json
khanhnto-khanhnto-v61-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/khanhnto-khanhnto-v61_reward/merges.txt
khanhnto-khanhnto-v61-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/khanhnto-khanhnto-v61_reward/tokenizer.json
khanhnto-khanhnto-v61-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/khanhnto-khanhnto-v61_reward/reward.tensors
Job khanhnto-khanhnto-v61-mkmlizer completed after 87.57s with status: succeeded
Stopping job with name khanhnto-khanhnto-v61-mkmlizer
Pipeline stage MKMLizer completed in 88.17s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.15s
Running pipeline stage ISVCDeployer
Creating inference service khanhnto-khanhnto-v61
Waiting for inference service khanhnto-khanhnto-v61 to be ready
khanhnto-khanhnto-v60-mkmlizer: loading reward model from rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99
khanhnto-khanhnto-v60-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-v60-mkmlizer: warnings.warn(
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khanhnto-khanhnto-v60-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-v60-mkmlizer: warnings.warn(
khanhnto-khanhnto-v60-mkmlizer: tokenizer_config.json: 0%| | 0.00/445 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 445/445 [00:00<00:00, 5.00MB/s]
khanhnto-khanhnto-v60-mkmlizer: vocab.json: 0%| | 0.00/798k [00:00<?, ?B/s] vocab.json: 100%|██████████| 798k/798k [00:00<00:00, 34.2MB/s]
khanhnto-khanhnto-v60-mkmlizer: merges.txt: 0%| | 0.00/456k [00:00<?, ?B/s] merges.txt: 100%|██████████| 456k/456k [00:00<00:00, 6.38MB/s]
khanhnto-khanhnto-v60-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 43.9MB/s]
khanhnto-khanhnto-v60-mkmlizer: special_tokens_map.json: 0%| | 0.00/441 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 441/441 [00:00<00:00, 4.84MB/s]
khanhnto-khanhnto-v60-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-v60-mkmlizer: warnings.warn(
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khanhnto-khanhnto-v60-mkmlizer: Downloading shards: 0%| | 0/1 [00:00<?, ?it/s]
khanhnto-khanhnto-v60-mkmlizer: model-00001-of-00001.safetensors: 0%| | 0.00/249M [00:00<?, ?B/s]
khanhnto-khanhnto-v60-mkmlizer: model-00001-of-00001.safetensors: 7%|▋ | 18.2M/249M [00:00<00:02, 114MB/s] model-00001-of-00001.safetensors: 100%|█████████▉| 249M/249M [00:00<00:00, 1.12GB/s]
khanhnto-khanhnto-v60-mkmlizer: Downloading shards: 100%|██████████| 1/1 [00:00<00:00, 2.66it/s] Downloading shards: 100%|██████████| 1/1 [00:00<00:00, 2.66it/s]
khanhnto-khanhnto-v60-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
khanhnto-khanhnto-v60-mkmlizer: Saving duration: 0.087s
khanhnto-khanhnto-v60-mkmlizer: Processed model rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99 in 2.219s
khanhnto-khanhnto-v60-mkmlizer: creating bucket guanaco-reward-models
khanhnto-khanhnto-v60-mkmlizer: Bucket 's3://guanaco-reward-models/' created
khanhnto-khanhnto-v60-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/khanhnto-khanhnto-v60_reward
khanhnto-khanhnto-v60-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/khanhnto-khanhnto-v60_reward/tokenizer_config.json
khanhnto-khanhnto-v60-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/khanhnto-khanhnto-v60_reward/config.json
khanhnto-khanhnto-v60-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/khanhnto-khanhnto-v60_reward/special_tokens_map.json
khanhnto-khanhnto-v60-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/khanhnto-khanhnto-v60_reward/merges.txt
khanhnto-khanhnto-v60-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/khanhnto-khanhnto-v60_reward/vocab.json
khanhnto-khanhnto-v60-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/khanhnto-khanhnto-v60_reward/tokenizer.json
khanhnto-khanhnto-v60-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/khanhnto-khanhnto-v60_reward/reward.tensors
Job khanhnto-khanhnto-v60-mkmlizer completed after 111.73s with status: succeeded
Stopping job with name khanhnto-khanhnto-v60-mkmlizer
Pipeline stage MKMLizer completed in 113.56s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.15s
Running pipeline stage ISVCDeployer
Creating inference service khanhnto-khanhnto-v60
Waiting for inference service khanhnto-khanhnto-v60 to be ready
Inference service khanhnto-khanhnto-v61 ready after 50.34753775596619s
Pipeline stage ISVCDeployer completed in 56.29s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.5024983882904053s
Received healthy response to inference request in 1.695281744003296s
Received healthy response to inference request in 1.293116807937622s
Received healthy response to inference request in 1.9686028957366943s
Received healthy response to inference request in 1.2665250301361084s
5 requests
0 failed requests
5th percentile: 1.271843385696411
10th percentile: 1.2771617412567138
20th percentile: 1.2877984523773194
30th percentile: 1.3349931240081787
40th percentile: 1.418745756149292
50th percentile: 1.5024983882904053
Inference service khanhnto-khanhnto-v60 ready after 50.33349347114563s
60th percentile: 1.5796117305755615
Pipeline stage ISVCDeployer completed in 56.18s
70th percentile: 1.6567250728607177
Running pipeline stage StressChecker
80th percentile: 1.7499459743499757
90th percentile: 1.859274435043335
95th percentile: 1.9139386653900146
99th percentile: 1.9576700496673585
mean time: 1.5452049732208253
Pipeline stage StressChecker completed in 10.07s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.12s
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 0.22s
khanhnto-khanhnto_v61 status is now deployed due to DeploymentManager action
Received healthy response to inference request in 1.5952799320220947s
Received healthy response to inference request in 1.2313296794891357s
Scoring model output for bot %s
Scoring model output for bot %s
Scoring model output for bot %s
Received healthy response to inference request in 1.6248130798339844s
Scoring model output for bot %s
Scoring model output for bot %s
Received healthy response to inference request in 1.4023783206939697s
Received score %s for bot %s
Received score %s for bot %s
Received score %s for bot %s
Received healthy response to inference request in 2.132467269897461s
5 requests
0 failed requests
5th percentile: 1.2655394077301025
10th percentile: 1.2997491359710693
20th percentile: 1.368168592453003
30th percentile: 1.4409586429595946
Received score %s for bot %s
40th percentile: 1.5181192874908447
50th percentile: 1.5952799320220947
60th percentile: 1.6070931911468507
70th percentile: 1.6189064502716064
80th percentile: 1.7263439178466797
90th percentile: 1.9294055938720704
95th percentile: 2.0309364318847654
99th percentile: 2.112161102294922
mean time: 1.5972536563873292
Pipeline stage StressChecker completed in 9.41s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.07s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Received score %s for bot %s
Pipeline stage DaemonicSafetyScorer completed in 0.07s
M-Eval Dataset for topic stay_in_character is loaded
Scoring model output for bot %s
khanhnto-khanhnto_v60 status is now deployed due to DeploymentManager action
khanhnto-khanhnto_v60 status is now inactive due to admin request
khanhnto-khanhnto_v60 status is now inactive due to auto deactivation removed underperforming models

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