submission_id: cycy233-misllm-v7-5-3_v2
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v7.5.3
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: 2024-06-13T06:35:57+00:00
model_name: base
model_eval_status: success
model_group: cycy233/misllm_v7.5.3
num_battles: 17539
num_wins: 8669
celo_rating: 1177.26
propriety_score: 0.6820072454045351
propriety_total_count: 7453.0
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_v7.5.3
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-12
win_ratio: 0.49426991276583615
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v7-5-3-v2-mkmlizer
Waiting for job on cycy233-misllm-v7-5-3-v2-mkmlizer to finish
cycy233-misllm-v7-5-3-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v7-5-3-v2-mkmlizer: ║ ║
cycy233-misllm-v7-5-3-v2-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v7-5-3-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v7-5-3-v2-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v7-5-3-v2-mkmlizer: ║ The license key for the current software has been verified as ║
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cycy233-misllm-v7-5-3-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v7-5-3-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v7-5-3-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-misllm-v7-5-3-v2-mkmlizer: ║ ║
cycy233-misllm-v7-5-3-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v7-5-3-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-v7-5-3-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v7-5-3-v2-mkmlizer: Downloaded to shared memory in 16.032s
cycy233-misllm-v7-5-3-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v7-5-3-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v7-5-3-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 90.47it/s] Loading 0: 70%|███████ | 204/291 [00:01<00:00, 104.75it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 83.95it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v7-5-3-v2-mkmlizer: quantized model in 14.936s
cycy233-misllm-v7-5-3-v2-mkmlizer: Processed model cycy233/misllm_v7.5.3 in 33.294s
cycy233-misllm-v7-5-3-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v7-5-3-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v7-5-3-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v7-5-3-v2
cycy233-misllm-v7-5-3-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v7-5-3-v2/special_tokens_map.json
cycy233-misllm-v7-5-3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v7-5-3-v2/tokenizer_config.json
cycy233-misllm-v7-5-3-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v7-5-3-v2/config.json
cycy233-misllm-v7-5-3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v7-5-3-v2/tokenizer.json
cycy233-misllm-v7-5-3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v7-5-3-v2/tokenizer.model
cycy233-misllm-v7-5-3-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v7-5-3-v2/flywheel_model.0.safetensors
cycy233-misllm-v7-5-3-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v7-5-3-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-v7-5-3-v2-mkmlizer: warnings.warn(
cycy233-misllm-v7-5-3-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-v7-5-3-v2-mkmlizer: warnings.warn(
cycy233-misllm-v7-5-3-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-v7-5-3-v2-mkmlizer: warnings.warn(
cycy233-misllm-v7-5-3-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-v7-5-3-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v7-5-3-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v7-5-3-v2-mkmlizer: Saving duration: 0.397s
cycy233-misllm-v7-5-3-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.190s
cycy233-misllm-v7-5-3-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v7-5-3-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v7-5-3-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v7-5-3-v2_reward
cycy233-misllm-v7-5-3-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v7-5-3-v2_reward/special_tokens_map.json
cycy233-misllm-v7-5-3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v7-5-3-v2_reward/tokenizer_config.json
cycy233-misllm-v7-5-3-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v7-5-3-v2_reward/merges.txt
cycy233-misllm-v7-5-3-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v7-5-3-v2_reward/vocab.json
cycy233-misllm-v7-5-3-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v7-5-3-v2_reward/config.json
cycy233-misllm-v7-5-3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v7-5-3-v2_reward/tokenizer.json
cycy233-misllm-v7-5-3-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v7-5-3-v2_reward/reward.tensors
Job cycy233-misllm-v7-5-3-v2-mkmlizer completed after 62.76s with status: succeeded
Stopping job with name cycy233-misllm-v7-5-3-v2-mkmlizer
Pipeline stage MKMLizer completed in 67.07s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v7-5-3-v2
Waiting for inference service cycy233-misllm-v7-5-3-v2 to be ready
Inference service cycy233-misllm-v7-5-3-v2 ready after 70.59029579162598s
Pipeline stage ISVCDeployer completed in 77.67s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7737700939178467s
Received healthy response to inference request in 1.1193757057189941s
Received healthy response to inference request in 1.1765079498291016s
Received healthy response to inference request in 0.8736193180084229s
Received healthy response to inference request in 0.9420554637908936s
5 requests
0 failed requests
5th percentile: 0.887306547164917
10th percentile: 0.9009937763214111
20th percentile: 0.9283682346343994
30th percentile: 0.9775195121765137
40th percentile: 1.048447608947754
50th percentile: 1.1193757057189941
60th percentile: 1.142228603363037
70th percentile: 1.16508150100708
80th percentile: 1.2959603786468508
90th percentile: 1.5348652362823487
95th percentile: 1.6543176651000975
99th percentile: 1.7498796081542969
mean time: 1.1770657062530518
Pipeline stage StressChecker completed in 6.51s
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-v7-5-3_v2 status is now deployed due to DeploymentManager action
cycy233-misllm-v7-5-3_v2 status is now inactive due to auto deactivation removed underperforming models

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