submission_id: cycy233-misllm-v6-9-3_v1
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v6.9.3
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': False}
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': False}
timestamp: 2024-06-13T02:20:22+00:00
model_name: base_f
model_eval_status: success
model_group: cycy233/misllm_v6.9.3
num_battles: 32067
num_wins: 16520
celo_rating: 1191.21
propriety_score: 0.6852627710400588
propriety_total_count: 13605.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: base_f
ineligible_reason: None
language_model: cycy233/misllm_v6.9.3
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-12
win_ratio: 0.5151713599650731
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v6-9-3-v1-mkmlizer
Waiting for job on cycy233-misllm-v6-9-3-v1-mkmlizer to finish
cycy233-misllm-v6-9-3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v6-9-3-v1-mkmlizer: ║ ║
cycy233-misllm-v6-9-3-v1-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v6-9-3-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v6-9-3-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v6-9-3-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v6-9-3-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v6-9-3-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cycy233-misllm-v6-9-3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v6-9-3-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.
cycy233-misllm-v6-9-3-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v6-9-3-v1-mkmlizer: Downloaded to shared memory in 37.113s
cycy233-misllm-v6-9-3-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v6-9-3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v6-9-3-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 88.29it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 99.23it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 81.63it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v6-9-3-v1-mkmlizer: quantized model in 15.652s
cycy233-misllm-v6-9-3-v1-mkmlizer: Processed model cycy233/misllm_v6.9.3 in 55.282s
cycy233-misllm-v6-9-3-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v6-9-3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v6-9-3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v6-9-3-v1
cycy233-misllm-v6-9-3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v6-9-3-v1/special_tokens_map.json
cycy233-misllm-v6-9-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v6-9-3-v1/tokenizer_config.json
cycy233-misllm-v6-9-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v6-9-3-v1/tokenizer.model
cycy233-misllm-v6-9-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v6-9-3-v1/tokenizer.json
cycy233-misllm-v6-9-3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v6-9-3-v1/config.json
cycy233-misllm-v6-9-3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v6-9-3-v1/flywheel_model.0.safetensors
cycy233-misllm-v6-9-3-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v6-9-3-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.
cycy233-misllm-v6-9-3-v1-mkmlizer: warnings.warn(
cycy233-misllm-v6-9-3-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.
cycy233-misllm-v6-9-3-v1-mkmlizer: warnings.warn(
cycy233-misllm-v6-9-3-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.
cycy233-misllm-v6-9-3-v1-mkmlizer: warnings.warn(
cycy233-misllm-v6-9-3-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()
cycy233-misllm-v6-9-3-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v6-9-3-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v6-9-3-v1-mkmlizer: Saving duration: 0.702s
cycy233-misllm-v6-9-3-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 9.804s
cycy233-misllm-v6-9-3-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v6-9-3-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v6-9-3-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v6-9-3-v1_reward
cycy233-misllm-v6-9-3-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v6-9-3-v1_reward/special_tokens_map.json
cycy233-misllm-v6-9-3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v6-9-3-v1_reward/tokenizer_config.json
cycy233-misllm-v6-9-3-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v6-9-3-v1_reward/config.json
cycy233-misllm-v6-9-3-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v6-9-3-v1_reward/merges.txt
cycy233-misllm-v6-9-3-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v6-9-3-v1_reward/vocab.json
cycy233-misllm-v6-9-3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v6-9-3-v1_reward/tokenizer.json
cycy233-misllm-v6-9-3-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v6-9-3-v1_reward/reward.tensors
Job cycy233-misllm-v6-9-3-v1-mkmlizer completed after 83.36s with status: succeeded
Stopping job with name cycy233-misllm-v6-9-3-v1-mkmlizer
Pipeline stage MKMLizer completed in 85.76s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v6-9-3-v1
Waiting for inference service cycy233-misllm-v6-9-3-v1 to be ready
Inference service cycy233-misllm-v6-9-3-v1 ready after 40.264111280441284s
Pipeline stage ISVCDeployer completed in 46.92s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0650694370269775s
Received healthy response to inference request in 1.1846752166748047s
Received healthy response to inference request in 1.1743545532226562s
Received healthy response to inference request in 1.1621432304382324s
Received healthy response to inference request in 1.182929515838623s
5 requests
0 failed requests
5th percentile: 1.164585494995117
10th percentile: 1.167027759552002
20th percentile: 1.1719122886657716
30th percentile: 1.1760695457458497
40th percentile: 1.1794995307922362
50th percentile: 1.182929515838623
60th percentile: 1.1836277961730957
70th percentile: 1.1843260765075683
80th percentile: 1.3607540607452395
90th percentile: 1.7129117488861085
95th percentile: 1.8889905929565427
99th percentile: 2.0298536682128905
mean time: 1.3538343906402588
Pipeline stage StressChecker completed in 7.41s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
Running M-Eval for topic stay_in_character
cycy233-misllm-v6-9-3_v1 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
cycy233-misllm-v6-9-3_v1 status is now inactive due to auto deactivation removed underperforming models

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