submission_id: cycy233-misllm-v7-8-3_v2
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v7.8.3
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': 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: 2024-06-17T03:21:07+00:00
model_name: base
model_eval_status: success
model_group: cycy233/misllm_v7.8.3
num_battles: 15204
num_wins: 7734
celo_rating: 1196.9
propriety_score: 0.6831865947174098
propriety_total_count: 7042.0
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
ineligible_reason: None
language_model: cycy233/misllm_v7.8.3
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-16
win_ratio: 0.5086819258089976
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v7-8-3-v2-mkmlizer
Waiting for job on cycy233-misllm-v7-8-3-v2-mkmlizer to finish
cycy233-misllm-v7-8-3-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v7-8-3-v2-mkmlizer: ║ ║
cycy233-misllm-v7-8-3-v2-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v7-8-3-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v7-8-3-v2-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v7-8-3-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v7-8-3-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v7-8-3-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-misllm-v7-8-3-v2-mkmlizer: ║ ║
cycy233-misllm-v7-8-3-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v7-8-3-v2-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-v7-8-3-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v7-8-3-v2-mkmlizer: Downloaded to shared memory in 20.078s
cycy233-misllm-v7-8-3-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v7-8-3-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v7-8-3-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 91.66it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 103.61it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 84.30it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v7-8-3-v2-mkmlizer: quantized model in 15.118s
cycy233-misllm-v7-8-3-v2-mkmlizer: Processed model cycy233/misllm_v7.8.3 in 37.519s
cycy233-misllm-v7-8-3-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v7-8-3-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v7-8-3-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v7-8-3-v2
cycy233-misllm-v7-8-3-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v7-8-3-v2/special_tokens_map.json
cycy233-misllm-v7-8-3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v7-8-3-v2/tokenizer_config.json
cycy233-misllm-v7-8-3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v7-8-3-v2/tokenizer.json
cycy233-misllm-v7-8-3-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v7-8-3-v2/config.json
cycy233-misllm-v7-8-3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v7-8-3-v2/tokenizer.model
cycy233-misllm-v7-8-3-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v7-8-3-v2/flywheel_model.0.safetensors
cycy233-misllm-v7-8-3-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v7-8-3-v2-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-v7-8-3-v2-mkmlizer: warnings.warn(
cycy233-misllm-v7-8-3-v2-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-v7-8-3-v2-mkmlizer: warnings.warn(
cycy233-misllm-v7-8-3-v2-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-v7-8-3-v2-mkmlizer: warnings.warn(
cycy233-misllm-v7-8-3-v2-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-v7-8-3-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v7-8-3-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v7-8-3-v2-mkmlizer: Saving duration: 0.402s
cycy233-misllm-v7-8-3-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.064s
cycy233-misllm-v7-8-3-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v7-8-3-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v7-8-3-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v7-8-3-v2_reward
cycy233-misllm-v7-8-3-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v7-8-3-v2_reward/config.json
cycy233-misllm-v7-8-3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v7-8-3-v2_reward/tokenizer_config.json
cycy233-misllm-v7-8-3-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v7-8-3-v2_reward/special_tokens_map.json
cycy233-misllm-v7-8-3-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v7-8-3-v2_reward/merges.txt
cycy233-misllm-v7-8-3-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v7-8-3-v2_reward/vocab.json
cycy233-misllm-v7-8-3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v7-8-3-v2_reward/tokenizer.json
cycy233-misllm-v7-8-3-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v7-8-3-v2_reward/reward.tensors
Job cycy233-misllm-v7-8-3-v2-mkmlizer completed after 62.68s with status: succeeded
Stopping job with name cycy233-misllm-v7-8-3-v2-mkmlizer
Pipeline stage MKMLizer completed in 65.67s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v7-8-3-v2
Waiting for inference service cycy233-misllm-v7-8-3-v2 to be ready
Inference service cycy233-misllm-v7-8-3-v2 ready after 191.30652403831482s
Pipeline stage ISVCDeployer completed in 198.16s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.883023738861084s
Received healthy response to inference request in 0.8836424350738525s
Received healthy response to inference request in 0.9748451709747314s
Received healthy response to inference request in 1.1708836555480957s
Received healthy response to inference request in 0.8824501037597656s
5 requests
0 failed requests
5th percentile: 0.882688570022583
10th percentile: 0.8829270362854004
20th percentile: 0.8834039688110351
30th percentile: 0.9018829822540283
40th percentile: 0.9383640766143799
50th percentile: 0.9748451709747314
60th percentile: 1.0532605648040771
70th percentile: 1.1316759586334229
80th percentile: 1.3133116722106934
90th percentile: 1.5981677055358887
95th percentile: 1.7405957221984862
99th percentile: 1.8545381355285644
mean time: 1.158969020843506
Pipeline stage StressChecker completed in 6.38s
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 0.03s
M-Eval Dataset for topic stay_in_character is loaded
cycy233-misllm-v7-8-3_v2 status is now deployed due to DeploymentManager action
cycy233-misllm-v7-8-3_v2 status is now inactive due to auto deactivation removed underperforming models

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