submission_id: inv-exponenta-alpha-7b_v3
developer_uid: Inv
status: inactive
model_repo: Inv/Exponenta-Alpha-7B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'top_k': 35, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "Role-play as {bot_name} based on Persona: {memory}. Avoid repetition, don't loop. Develop the plot slowly, always stay in character. Describe all actions in full, elaborate, explicit, graphic, and vivid detail. Mention all relevant sensory perceptions.", '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: 2024-03-29T13:48:22+00:00
model_name: inv-exponenta-alpha-7b_v3
model_eval_status: success
safety_score: 0.98
entertaining: 7.1
stay_in_character: 8.52
user_preference: 7.54
double_thumbs_up: 733
thumbs_up: 918
thumbs_down: 412
num_battles: 85852
num_wins: 46378
win_ratio: 0.5402087313050365
celo_rating: 1186.18
Resubmit model
Running pipeline stage MKMLizer
Starting job with name inv-exponenta-alpha-7b-v3-mkmlizer
Waiting for job on inv-exponenta-alpha-7b-v3-mkmlizer to finish
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
inv-exponenta-alpha-7b-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
inv-exponenta-alpha-7b-v3-mkmlizer: ║ _____ __ __ ║
inv-exponenta-alpha-7b-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
inv-exponenta-alpha-7b-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
inv-exponenta-alpha-7b-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
inv-exponenta-alpha-7b-v3-mkmlizer: ║ /___/ ║
inv-exponenta-alpha-7b-v3-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v3-mkmlizer: ║ Version: 0.6.11 ║
inv-exponenta-alpha-7b-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
inv-exponenta-alpha-7b-v3-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v3-mkmlizer: ║ The license key for the current software has been verified as ║
inv-exponenta-alpha-7b-v3-mkmlizer: ║ belonging to: ║
inv-exponenta-alpha-7b-v3-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v3-mkmlizer: ║ Chai Research Corp. ║
inv-exponenta-alpha-7b-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
inv-exponenta-alpha-7b-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
inv-exponenta-alpha-7b-v3-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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inv-exponenta-alpha-7b-v3-mkmlizer: Downloaded to shared memory in 16.556s
inv-exponenta-alpha-7b-v3-mkmlizer: quantizing model to /dev/shm/model_cache
inv-exponenta-alpha-7b-v3-mkmlizer: Saving mkml model at /dev/shm/model_cache
inv-exponenta-alpha-7b-v3-mkmlizer: Reading /tmp/tmp0larvg29/model.safetensors.index.json
inv-exponenta-alpha-7b-v3-mkmlizer: quantized model in 14.727s
inv-exponenta-alpha-7b-v3-mkmlizer: Processed model Inv/Exponenta-Alpha-7B in 32.282s
inv-exponenta-alpha-7b-v3-mkmlizer: creating bucket guanaco-mkml-models
inv-exponenta-alpha-7b-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
inv-exponenta-alpha-7b-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v3
inv-exponenta-alpha-7b-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v3/config.json
inv-exponenta-alpha-7b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v3/tokenizer_config.json
inv-exponenta-alpha-7b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v3/tokenizer.model
inv-exponenta-alpha-7b-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v3/special_tokens_map.json
inv-exponenta-alpha-7b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v3/tokenizer.json
inv-exponenta-alpha-7b-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v3/mkml_model.tensors
inv-exponenta-alpha-7b-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
inv-exponenta-alpha-7b-v3-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.
inv-exponenta-alpha-7b-v3-mkmlizer: warnings.warn(
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inv-exponenta-alpha-7b-v3-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.
inv-exponenta-alpha-7b-v3-mkmlizer: warnings.warn(
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inv-exponenta-alpha-7b-v3-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.
inv-exponenta-alpha-7b-v3-mkmlizer: warnings.warn(
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inv-exponenta-alpha-7b-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
inv-exponenta-alpha-7b-v3-mkmlizer: Saving duration: 0.731s
inv-exponenta-alpha-7b-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.600s
inv-exponenta-alpha-7b-v3-mkmlizer: creating bucket guanaco-reward-models
inv-exponenta-alpha-7b-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
inv-exponenta-alpha-7b-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/inv-exponenta-alpha-7b-v3_reward
inv-exponenta-alpha-7b-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v3_reward/special_tokens_map.json
inv-exponenta-alpha-7b-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v3_reward/config.json
inv-exponenta-alpha-7b-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v3_reward/tokenizer_config.json
inv-exponenta-alpha-7b-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/inv-exponenta-alpha-7b-v3_reward/merges.txt
inv-exponenta-alpha-7b-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v3_reward/vocab.json
inv-exponenta-alpha-7b-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/inv-exponenta-alpha-7b-v3_reward/tokenizer.json
inv-exponenta-alpha-7b-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/inv-exponenta-alpha-7b-v3_reward/reward.tensors
Job inv-exponenta-alpha-7b-v3-mkmlizer completed after 207.69s with status: succeeded
Stopping job with name inv-exponenta-alpha-7b-v3-mkmlizer
Pipeline stage MKMLizer completed in 219.69s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 4.95s
Running pipeline stage ISVCDeployer
Creating inference service inv-exponenta-alpha-7b-v3
Waiting for inference service inv-exponenta-alpha-7b-v3 to be ready
Inference service inv-exponenta-alpha-7b-v3 ready after 30.200690746307373s
Pipeline stage ISVCDeployer completed in 51.01s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.433368682861328s
Received healthy response to inference request in 2.0438644886016846s
Received healthy response to inference request in 3.6517176628112793s
Received healthy response to inference request in 1.2507603168487549s
Received healthy response to inference request in 1.1864745616912842s
5 requests
0 failed requests
5th percentile: 1.1993317127227783
10th percentile: 1.2121888637542724
20th percentile: 1.2379031658172608
30th percentile: 1.4093811511993408
40th percentile: 1.7266228199005127
50th percentile: 2.0438644886016846
60th percentile: 2.6870057582855225
70th percentile: 3.33014702796936
80th percentile: 3.808047866821289
90th percentile: 4.120708274841308
95th percentile: 4.277038478851318
99th percentile: 4.402102642059326
mean time: 2.513237142562866
Pipeline stage StressChecker completed in 26.97s
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
inv-exponenta-alpha-7b_v3 status is now deployed due to DeploymentManager action
inv-exponenta-alpha-7b_v3 status is now inactive due to auto deactivation removed underperforming models

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