submission_id: hflserdaniel-chai-s6-13_2318_v12
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': 48}
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: 2024-03-31T01:58:32+00:00
model_name: chai_s6_13b_slp3-48
model_eval_status: success
safety_score: None
entertaining: 6.92
stay_in_character: 8.46
user_preference: 7.4
double_thumbs_up: 1361
thumbs_up: 1807
thumbs_down: 878
num_battles: 130357
num_wins: 58349
win_ratio: 0.44760925765398096
celo_rating: 1116.23
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hflserdaniel-chai-s6-13-2318-v12-mkmlizer
Waiting for job on hflserdaniel-chai-s6-13-2318-v12-mkmlizer to finish
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ║ _____ __ __ ║
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ║ /___/ ║
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ║ Version: 0.6.11 ║
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ║ The license key for the current software has been verified as ║
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ║ belonging to: ║
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ║ Chai Research Corp. ║
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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hflserdaniel-chai-s6-13-2318-v12-mkmlizer: Downloaded to shared memory in 66.348s
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: quantizing model to /dev/shm/model_cache
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: Saving mkml model at /dev/shm/model_cache
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: Reading /tmp/tmp4qk62yd4/model.safetensors.index.json
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hflserdaniel-chai-s6-13-2318-v12-mkmlizer: quantized model in 28.302s
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: Processed model hflserdaniel/chai_s6_13b_slp3 in 96.342s
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: creating bucket guanaco-mkml-models
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v12
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v12/config.json
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v12/added_tokens.json
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v12/special_tokens_map.json
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v12/tokenizer_config.json
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v12/tokenizer.model
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v12/tokenizer.json
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v12/mkml_model.tensors
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
hflserdaniel-chai-s6-13-2318-v12-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-v12-mkmlizer: warnings.warn(
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hflserdaniel-chai-s6-13-2318-v12-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-v12-mkmlizer: warnings.warn(
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hflserdaniel-chai-s6-13-2318-v12-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: Saving duration: 0.280s
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 8.067s
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: creating bucket guanaco-reward-models
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v12_reward
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v12_reward/special_tokens_map.json
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v12_reward/config.json
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v12_reward/tokenizer_config.json
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v12_reward/merges.txt
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v12_reward/vocab.json
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v12_reward/tokenizer.json
hflserdaniel-chai-s6-13-2318-v12-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v12_reward/reward.tensors
Job hflserdaniel-chai-s6-13-2318-v12-mkmlizer completed after 234.48s with status: succeeded
Stopping job with name hflserdaniel-chai-s6-13-2318-v12-mkmlizer
Pipeline stage MKMLizer completed in 237.33s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service hflserdaniel-chai-s6-13-2318-v12
Waiting for inference service hflserdaniel-chai-s6-13-2318-v12 to be ready
Inference service hflserdaniel-chai-s6-13-2318-v12 ready after 60.328272342681885s
Pipeline stage ISVCDeployer completed in 67.98s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.112644672393799s
Received healthy response to inference request in 1.6629178524017334s
Received healthy response to inference request in 1.5976355075836182s
Received healthy response to inference request in 1.6342437267303467s
Received healthy response to inference request in 1.6004014015197754s
5 requests
0 failed requests
5th percentile: 1.5981886863708497
10th percentile: 1.5987418651580811
20th percentile: 1.599848222732544
30th percentile: 1.6071698665618896
40th percentile: 1.6207067966461182
50th percentile: 1.6342437267303467
60th percentile: 1.6457133769989014
70th percentile: 1.6571830272674561
80th percentile: 1.7528632164001465
90th percentile: 1.9327539443969728
95th percentile: 2.0226993083953855
99th percentile: 2.094655599594116
mean time: 1.7215686321258545
Pipeline stage StressChecker completed in 9.58s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.06s
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
hflserdaniel-chai-s6-13_2318_v12 status is now deployed due to DeploymentManager action
hflserdaniel-chai-s6-13_2318_v12 status is now inactive due to auto deactivation removed underperforming models
hflserdaniel-chai-s6-13_2318_v12 status is now deployed due to admin request
hflserdaniel-chai-s6-13_2318_v12 status is now inactive due to auto deactivation removed underperforming models

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