submission_id: cycy233-misllm-v6-2-2-5_v7
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v6.2.2.5
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: 2024-05-31T03:33:14+00:00
model_name: base_F
model_eval_status: success
model_group: cycy233/misllm_v6.2.2.5
num_battles: 11792
num_wins: 6244
celo_rating: 1199.49
safety_score: 0.96
propriety_score: 0.75
propriety_total_count: 4.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7248023552.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: base_F
ineligible_reason: propriety_total_count < 5000
language_model: cycy233/misllm_v6.2.2.5
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-30
win_ratio: 0.5295115332428765
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v6-2-2-5-v7-mkmlizer
Waiting for job on cycy233-misllm-v6-2-2-5-v7-mkmlizer to finish
cycy233-misllm-v6-2-2-5-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v6-2-2-5-v7-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v6-2-2-5-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v6-2-2-5-v7-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v6-2-2-5-v7-mkmlizer: ║ Chai Research Corp. ║
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cycy233-misllm-v6-2-2-5-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v6-2-2-5-v7-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-v6-2-2-5-v7-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v6-2-2-5-v7-mkmlizer: Downloaded to shared memory in 15.604s
cycy233-misllm-v6-2-2-5-v7-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v6-2-2-5-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v6-2-2-5-v7-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:00<00:01, 100.16it/s] Loading 0: 70%|███████ | 204/291 [00:01<00:00, 108.53it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 85.43it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v6-2-2-5-v7-mkmlizer: quantized model in 14.453s
cycy233-misllm-v6-2-2-5-v7-mkmlizer: Processed model cycy233/misllm_v6.2.2.5 in 32.334s
cycy233-misllm-v6-2-2-5-v7-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v6-2-2-5-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v6-2-2-5-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v7
cycy233-misllm-v6-2-2-5-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v7/config.json
cycy233-misllm-v6-2-2-5-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v7/special_tokens_map.json
cycy233-misllm-v6-2-2-5-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v7/tokenizer_config.json
cycy233-misllm-v6-2-2-5-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v7/tokenizer.model
cycy233-misllm-v6-2-2-5-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v7/tokenizer.json
cycy233-misllm-v6-2-2-5-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v7/flywheel_model.0.safetensors
cycy233-misllm-v6-2-2-5-v7-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-v6-2-2-5-v7-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-v7-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v6-2-2-5-v7-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-v6-2-2-5-v7-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-v7-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-v6-2-2-5-v7-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-v7-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-v6-2-2-5-v7-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v6-2-2-5-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v6-2-2-5-v7-mkmlizer: Saving duration: 0.398s
cycy233-misllm-v6-2-2-5-v7-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.389s
cycy233-misllm-v6-2-2-5-v7-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v6-2-2-5-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v6-2-2-5-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v7_reward
cycy233-misllm-v6-2-2-5-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v7_reward/config.json
cycy233-misllm-v6-2-2-5-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v7_reward/special_tokens_map.json
cycy233-misllm-v6-2-2-5-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v7_reward/merges.txt
cycy233-misllm-v6-2-2-5-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v7_reward/tokenizer_config.json
cycy233-misllm-v6-2-2-5-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v7_reward/vocab.json
cycy233-misllm-v6-2-2-5-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v7_reward/tokenizer.json
cycy233-misllm-v6-2-2-5-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v7_reward/reward.tensors
Job cycy233-misllm-v6-2-2-5-v7-mkmlizer completed after 55.92s with status: succeeded
Stopping job with name cycy233-misllm-v6-2-2-5-v7-mkmlizer
Pipeline stage MKMLizer completed in 56.67s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v6-2-2-5-v7
Waiting for inference service cycy233-misllm-v6-2-2-5-v7 to be ready
Inference service cycy233-misllm-v6-2-2-5-v7 ready after 40.70305299758911s
Pipeline stage ISVCDeployer completed in 46.66s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1625113487243652s
Received healthy response to inference request in 1.0388877391815186s
Received healthy response to inference request in 1.1830418109893799s
Received healthy response to inference request in 1.172393798828125s
Received healthy response to inference request in 1.098966121673584s
5 requests
0 failed requests
5th percentile: 1.0509034156799317
10th percentile: 1.0629190921783447
20th percentile: 1.0869504451751708
30th percentile: 1.113651657104492
40th percentile: 1.1430227279663085
50th percentile: 1.172393798828125
60th percentile: 1.176653003692627
70th percentile: 1.1809122085571289
80th percentile: 1.378935718536377
90th percentile: 1.7707235336303713
95th percentile: 1.966617441177368
99th percentile: 2.1233325672149657
mean time: 1.3311601638793946
Pipeline stage StressChecker completed in 7.30s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
cycy233-misllm-v6-2-2-5_v7 status is now deployed due to DeploymentManager action
cycy233-misllm-v6-2-2-5_v7 status is now inactive due to auto deactivation removed underperforming models

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