submission_id: cycy233-misllm-v6-2-2-5_v8
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: 2024-05-31T04:57:36+00:00
model_name: base_f
model_eval_status: success
model_group: cycy233/misllm_v6.2.2.5
num_battles: 8249
num_wins: 4244
celo_rating: 1196.54
safety_score: 0.95
propriety_score: 1.0
propriety_total_count: 3.0
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: 0.5144866044369014
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v6-2-2-5-v8-mkmlizer
Waiting for job on cycy233-misllm-v6-2-2-5-v8-mkmlizer to finish
cycy233-misllm-v6-2-2-5-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v6-2-2-5-v8-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v6-2-2-5-v8-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v6-2-2-5-v8-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v6-2-2-5-v8-mkmlizer: ║ Chai Research Corp. ║
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cycy233-misllm-v6-2-2-5-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v6-2-2-5-v8-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-v8-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v6-2-2-5-v8-mkmlizer: Downloaded to shared memory in 22.740s
cycy233-misllm-v6-2-2-5-v8-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v6-2-2-5-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v6-2-2-5-v8-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 88.84it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 95.93it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 79.38it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v6-2-2-5-v8-mkmlizer: quantized model in 15.132s
cycy233-misllm-v6-2-2-5-v8-mkmlizer: Processed model cycy233/misllm_v6.2.2.5 in 40.201s
cycy233-misllm-v6-2-2-5-v8-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v6-2-2-5-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v6-2-2-5-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v8
cycy233-misllm-v6-2-2-5-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v8/config.json
cycy233-misllm-v6-2-2-5-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v8/special_tokens_map.json
cycy233-misllm-v6-2-2-5-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v8/tokenizer_config.json
cycy233-misllm-v6-2-2-5-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v8/tokenizer.model
cycy233-misllm-v6-2-2-5-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v8/tokenizer.json
cycy233-misllm-v6-2-2-5-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v8/flywheel_model.0.safetensors
cycy233-misllm-v6-2-2-5-v8-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v6-2-2-5-v8-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-v8-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-v8-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-v8-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-v8-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-v8-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-v8-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-v8-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v6-2-2-5-v8-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v6-2-2-5-v8-mkmlizer: Saving duration: 0.415s
cycy233-misllm-v6-2-2-5-v8-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.331s
cycy233-misllm-v6-2-2-5-v8-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v6-2-2-5-v8-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v6-2-2-5-v8-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v8_reward
cycy233-misllm-v6-2-2-5-v8-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v8_reward/special_tokens_map.json
cycy233-misllm-v6-2-2-5-v8-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v8_reward/tokenizer_config.json
cycy233-misllm-v6-2-2-5-v8-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v8_reward/config.json
cycy233-misllm-v6-2-2-5-v8-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v8_reward/merges.txt
cycy233-misllm-v6-2-2-5-v8-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v8_reward/vocab.json
cycy233-misllm-v6-2-2-5-v8-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v8_reward/tokenizer.json
Job cycy233-misllm-v6-2-2-5-v8-mkmlizer completed after 72.97s with status: succeeded
Stopping job with name cycy233-misllm-v6-2-2-5-v8-mkmlizer
Pipeline stage MKMLizer completed in 73.62s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v6-2-2-5-v8
Waiting for inference service cycy233-misllm-v6-2-2-5-v8 to be ready
Inference service cycy233-misllm-v6-2-2-5-v8 ready after 40.26956295967102s
Pipeline stage ISVCDeployer completed in 46.12s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.003772258758545s
Received healthy response to inference request in 1.1968963146209717s
Received healthy response to inference request in 1.1105680465698242s
Received healthy response to inference request in 1.1365342140197754s
Received healthy response to inference request in 1.1896998882293701s
5 requests
0 failed requests
5th percentile: 1.1157612800598145
10th percentile: 1.1209545135498047
20th percentile: 1.1313409805297852
30th percentile: 1.1471673488616942
40th percentile: 1.1684336185455322
50th percentile: 1.1896998882293701
60th percentile: 1.1925784587860107
70th percentile: 1.1954570293426514
80th percentile: 1.3582715034484865
90th percentile: 1.6810218811035158
95th percentile: 1.8423970699310301
99th percentile: 1.971497220993042
mean time: 1.3274941444396973
Pipeline stage StressChecker completed in 7.26s
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-v6-2-2-5_v8 status is now deployed due to DeploymentManager action
cycy233-misllm-v6-2-2-5_v8 status is now inactive due to auto deactivation removed underperforming models

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