submission_id: deverdever-heavenly-mous_2720_v1
developer_uid: clover0103
status: inactive
model_repo: DeverDever/heavenly-mouse-v1-722
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, '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}:', 'truncate_by_message': True}
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}:', 'truncate_by_message': True}
timestamp: 2024-05-24T04:03:42+00:00
model_name: deverdever-heavenly-mous_2720_v1
model_eval_status: success
model_group: DeverDever/heavenly-mous
num_battles: 11909
num_wins: 6242
celo_rating: 1195.17
safety_score: 0.95
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: deverdever-heavenly-mous_2720_v1
ineligible_reason: propriety_total_count < 5000
language_model: DeverDever/heavenly-mouse-v1-722
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-23
win_ratio: 0.5241414056595852
Resubmit model
Running pipeline stage MKMLizer
Starting job with name deverdever-heavenly-mous-2720-v1-mkmlizer
Waiting for job on deverdever-heavenly-mous-2720-v1-mkmlizer to finish
deverdever-heavenly-mous-2720-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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deverdever-heavenly-mous-2720-v1-mkmlizer: ║ ║
deverdever-heavenly-mous-2720-v1-mkmlizer: ║ Version: 0.8.14 ║
deverdever-heavenly-mous-2720-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
deverdever-heavenly-mous-2720-v1-mkmlizer: ║ https://mk1.ai ║
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deverdever-heavenly-mous-2720-v1-mkmlizer: ║ The license key for the current software has been verified as ║
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deverdever-heavenly-mous-2720-v1-mkmlizer: ║ Chai Research Corp. ║
deverdever-heavenly-mous-2720-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
deverdever-heavenly-mous-2720-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
deverdever-heavenly-mous-2720-v1-mkmlizer: ║ ║
deverdever-heavenly-mous-2720-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
deverdever-heavenly-mous-2720-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
deverdever-heavenly-mous-2720-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
deverdever-heavenly-mous-2720-v1-mkmlizer: Downloaded to shared memory in 32.000s
deverdever-heavenly-mous-2720-v1-mkmlizer: quantizing model to /dev/shm/model_cache
deverdever-heavenly-mous-2720-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
deverdever-heavenly-mous-2720-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 78.53it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 89.94it/s] Loading 0: 99%|█████████▊| 287/291 [00:02<00:00, 132.36it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
deverdever-heavenly-mous-2720-v1-mkmlizer: quantized model in 23.284s
deverdever-heavenly-mous-2720-v1-mkmlizer: Processed model DeverDever/heavenly-mouse-v1-722 in 57.878s
deverdever-heavenly-mous-2720-v1-mkmlizer: creating bucket guanaco-mkml-models
deverdever-heavenly-mous-2720-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
deverdever-heavenly-mous-2720-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/deverdever-heavenly-mous-2720-v1
deverdever-heavenly-mous-2720-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/deverdever-heavenly-mous-2720-v1/config.json
deverdever-heavenly-mous-2720-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/deverdever-heavenly-mous-2720-v1/special_tokens_map.json
deverdever-heavenly-mous-2720-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/deverdever-heavenly-mous-2720-v1/tokenizer_config.json
deverdever-heavenly-mous-2720-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/deverdever-heavenly-mous-2720-v1/tokenizer.json
deverdever-heavenly-mous-2720-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/deverdever-heavenly-mous-2720-v1/flywheel_model.0.safetensors
deverdever-heavenly-mous-2720-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
deverdever-heavenly-mous-2720-v1-mkmlizer: warnings.warn(
deverdever-heavenly-mous-2720-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
deverdever-heavenly-mous-2720-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
deverdever-heavenly-mous-2720-v1-mkmlizer: warnings.warn(
deverdever-heavenly-mous-2720-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
deverdever-heavenly-mous-2720-v1-mkmlizer: warnings.warn(
deverdever-heavenly-mous-2720-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
deverdever-heavenly-mous-2720-v1-mkmlizer: return self.fget.__get__(instance, owner)()
deverdever-heavenly-mous-2720-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
deverdever-heavenly-mous-2720-v1-mkmlizer: Saving duration: 0.413s
deverdever-heavenly-mous-2720-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.564s
deverdever-heavenly-mous-2720-v1-mkmlizer: creating bucket guanaco-reward-models
deverdever-heavenly-mous-2720-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
deverdever-heavenly-mous-2720-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/deverdever-heavenly-mous-2720-v1_reward
deverdever-heavenly-mous-2720-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/deverdever-heavenly-mous-2720-v1_reward/config.json
deverdever-heavenly-mous-2720-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/deverdever-heavenly-mous-2720-v1_reward/tokenizer_config.json
deverdever-heavenly-mous-2720-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/deverdever-heavenly-mous-2720-v1_reward/special_tokens_map.json
deverdever-heavenly-mous-2720-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/deverdever-heavenly-mous-2720-v1_reward/vocab.json
deverdever-heavenly-mous-2720-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/deverdever-heavenly-mous-2720-v1_reward/tokenizer.json
deverdever-heavenly-mous-2720-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/deverdever-heavenly-mous-2720-v1_reward/merges.txt
deverdever-heavenly-mous-2720-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/deverdever-heavenly-mous-2720-v1_reward/reward.tensors
Job deverdever-heavenly-mous-2720-v1-mkmlizer completed after 93.09s with status: succeeded
Stopping job with name deverdever-heavenly-mous-2720-v1-mkmlizer
Pipeline stage MKMLizer completed in 97.12s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service deverdever-heavenly-mous-2720-v1
Waiting for inference service deverdever-heavenly-mous-2720-v1 to be ready
Inference service deverdever-heavenly-mous-2720-v1 ready after 60.31103563308716s
Pipeline stage ISVCDeployer completed in 67.97s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1603245735168457s
Received healthy response to inference request in 1.1945562362670898s
Received healthy response to inference request in 1.195054531097412s
Received healthy response to inference request in 0.9003121852874756s
Received healthy response to inference request in 1.2189271450042725s
5 requests
0 failed requests
5th percentile: 0.9591609954833984
10th percentile: 1.0180098056793212
20th percentile: 1.135707426071167
30th percentile: 1.1946558952331543
40th percentile: 1.1948552131652832
50th percentile: 1.195054531097412
60th percentile: 1.2046035766601562
70th percentile: 1.2141526222229004
80th percentile: 1.4072066307067872
90th percentile: 1.7837656021118165
95th percentile: 1.972045087814331
99th percentile: 2.122668676376343
mean time: 1.3338349342346192
Pipeline stage StressChecker completed in 7.28s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
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
deverdever-heavenly-mous_2720_v1 status is now deployed due to DeploymentManager action
deverdever-heavenly-mous_2720_v1 status is now inactive due to auto deactivation removed underperforming models

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