submission_id: cycy233-misllm-v7-4-2-5_v1
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v7.4.2.5
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': 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: 2024-06-13T02:51:36+00:00
model_name: base
model_eval_status: success
model_group: cycy233/misllm_v7.4.2.5
num_battles: 29496
num_wins: 15149
celo_rating: 1190.46
propriety_score: 0.6881652104845115
propriety_total_count: 12590.0
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_v7.4.2.5
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-12
win_ratio: 0.5135950637374559
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v7-4-2-5-v1-mkmlizer
Waiting for job on cycy233-misllm-v7-4-2-5-v1-mkmlizer to finish
cycy233-misllm-v7-4-2-5-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v7-4-2-5-v1-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v7-4-2-5-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v7-4-2-5-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v7-4-2-5-v1-mkmlizer: ║ Chai Research Corp. ║
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cycy233-misllm-v7-4-2-5-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v7-4-2-5-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-v7-4-2-5-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v7-4-2-5-v1-mkmlizer: Downloaded to shared memory in 35.200s
cycy233-misllm-v7-4-2-5-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v7-4-2-5-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v7-4-2-5-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 88.10it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 99.20it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 80.32it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v7-4-2-5-v1-mkmlizer: quantized model in 15.713s
cycy233-misllm-v7-4-2-5-v1-mkmlizer: Processed model cycy233/misllm_v7.4.2.5 in 53.344s
cycy233-misllm-v7-4-2-5-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v7-4-2-5-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v7-4-2-5-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v7-4-2-5-v1
cycy233-misllm-v7-4-2-5-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v7-4-2-5-v1/config.json
cycy233-misllm-v7-4-2-5-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v7-4-2-5-v1/special_tokens_map.json
cycy233-misllm-v7-4-2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v7-4-2-5-v1/tokenizer.model
cycy233-misllm-v7-4-2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v7-4-2-5-v1/tokenizer_config.json
cycy233-misllm-v7-4-2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v7-4-2-5-v1/tokenizer.json
cycy233-misllm-v7-4-2-5-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v7-4-2-5-v1/flywheel_model.0.safetensors
cycy233-misllm-v7-4-2-5-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v7-4-2-5-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-v7-4-2-5-v1-mkmlizer: warnings.warn(
cycy233-misllm-v7-4-2-5-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-v7-4-2-5-v1-mkmlizer: warnings.warn(
cycy233-misllm-v7-4-2-5-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-v7-4-2-5-v1-mkmlizer: warnings.warn(
cycy233-misllm-v7-4-2-5-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-v7-4-2-5-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v7-4-2-5-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v7-4-2-5-v1-mkmlizer: Saving duration: 0.435s
cycy233-misllm-v7-4-2-5-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.274s
cycy233-misllm-v7-4-2-5-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v7-4-2-5-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v7-4-2-5-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v7-4-2-5-v1_reward
cycy233-misllm-v7-4-2-5-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v7-4-2-5-v1_reward/config.json
cycy233-misllm-v7-4-2-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v7-4-2-5-v1_reward/tokenizer_config.json
cycy233-misllm-v7-4-2-5-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v7-4-2-5-v1_reward/special_tokens_map.json
cycy233-misllm-v7-4-2-5-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v7-4-2-5-v1_reward/merges.txt
cycy233-misllm-v7-4-2-5-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v7-4-2-5-v1_reward/vocab.json
cycy233-misllm-v7-4-2-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v7-4-2-5-v1_reward/tokenizer.json
cycy233-misllm-v7-4-2-5-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v7-4-2-5-v1_reward/reward.tensors
Job cycy233-misllm-v7-4-2-5-v1-mkmlizer completed after 83.48s with status: succeeded
Stopping job with name cycy233-misllm-v7-4-2-5-v1-mkmlizer
Pipeline stage MKMLizer completed in 86.97s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v7-4-2-5-v1
Waiting for inference service cycy233-misllm-v7-4-2-5-v1 to be ready
Inference service cycy233-misllm-v7-4-2-5-v1 ready after 40.25875282287598s
Pipeline stage ISVCDeployer completed in 47.30s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0754849910736084s
Received healthy response to inference request in 0.901787519454956s
Received healthy response to inference request in 0.8550169467926025s
Received healthy response to inference request in 1.002000331878662s
Received healthy response to inference request in 0.9949307441711426s
5 requests
0 failed requests
5th percentile: 0.8643710613250732
10th percentile: 0.873725175857544
20th percentile: 0.8924334049224854
30th percentile: 0.9204161643981934
40th percentile: 0.957673454284668
50th percentile: 0.9949307441711426
60th percentile: 0.9977585792541503
70th percentile: 1.0005864143371581
80th percentile: 1.2166972637176516
90th percentile: 1.64609112739563
95th percentile: 1.8607880592346189
99th percentile: 2.0325456047058106
mean time: 1.1658441066741942
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
cycy233-misllm-v7-4-2-5_v1 status is now deployed due to DeploymentManager action
cycy233-misllm-v7-4-2-5_v1 status is now inactive due to auto deactivation removed underperforming models

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