submission_id: cycy233-misllm-v6-2-2-5_v6
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: 2024-05-31T02:27:24+00:00
model_name: base_f
model_eval_status: success
model_group: cycy233/misllm_v6.2.2.5
num_battles: 9245
num_wins: 4821
celo_rating: 1198.78
safety_score: 0.96
propriety_score: 1.0
propriety_total_count: 2.0
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: 0.5214710654407788
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v6-2-2-5-v6-mkmlizer
Waiting for job on cycy233-misllm-v6-2-2-5-v6-mkmlizer to finish
cycy233-misllm-v6-2-2-5-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v6-2-2-5-v6-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v6-2-2-5-v6-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v6-2-2-5-v6-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v6-2-2-5-v6-mkmlizer: ║ Chai Research Corp. ║
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cycy233-misllm-v6-2-2-5-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v6-2-2-5-v6-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-v6-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v6-2-2-5-v6-mkmlizer: Downloaded to shared memory in 42.261s
cycy233-misllm-v6-2-2-5-v6-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v6-2-2-5-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v6-2-2-5-v6-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 68.39it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:01, 73.97it/s] Loading 0: 100%|██████████| 291/291 [00:04<00:00, 65.18it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v6-2-2-5-v6-mkmlizer: quantized model in 16.478s
cycy233-misllm-v6-2-2-5-v6-mkmlizer: Processed model cycy233/misllm_v6.2.2.5 in 61.187s
cycy233-misllm-v6-2-2-5-v6-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v6-2-2-5-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v6-2-2-5-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v6
cycy233-misllm-v6-2-2-5-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v6/config.json
cycy233-misllm-v6-2-2-5-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v6/special_tokens_map.json
cycy233-misllm-v6-2-2-5-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v6/tokenizer_config.json
cycy233-misllm-v6-2-2-5-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v6/tokenizer.model
cycy233-misllm-v6-2-2-5-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v6/tokenizer.json
cycy233-misllm-v6-2-2-5-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v6/flywheel_model.0.safetensors
cycy233-misllm-v6-2-2-5-v6-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v6-2-2-5-v6-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-v6-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-v6-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-v6-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-v6-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-v6-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-v6-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-v6-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v6-2-2-5-v6-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v6-2-2-5-v6-mkmlizer: Saving duration: 0.466s
cycy233-misllm-v6-2-2-5-v6-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 12.551s
cycy233-misllm-v6-2-2-5-v6-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v6-2-2-5-v6-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v6-2-2-5-v6-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v6_reward
cycy233-misllm-v6-2-2-5-v6-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v6_reward/config.json
cycy233-misllm-v6-2-2-5-v6-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v6_reward/tokenizer_config.json
cycy233-misllm-v6-2-2-5-v6-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v6_reward/special_tokens_map.json
cycy233-misllm-v6-2-2-5-v6-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v6_reward/merges.txt
cycy233-misllm-v6-2-2-5-v6-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v6_reward/vocab.json
cycy233-misllm-v6-2-2-5-v6-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v6_reward/tokenizer.json
cycy233-misllm-v6-2-2-5-v6-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v6_reward/reward.tensors
Job cycy233-misllm-v6-2-2-5-v6-mkmlizer completed after 93.32s with status: succeeded
Stopping job with name cycy233-misllm-v6-2-2-5-v6-mkmlizer
Pipeline stage MKMLizer completed in 93.75s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v6-2-2-5-v6
Waiting for inference service cycy233-misllm-v6-2-2-5-v6 to be ready
Inference service cycy233-misllm-v6-2-2-5-v6 ready after 30.16777467727661s
Pipeline stage ISVCDeployer completed in 35.70s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9613707065582275s
Received healthy response to inference request in 0.951277494430542s
Received healthy response to inference request in 1.180370569229126s
Received healthy response to inference request in 1.1685752868652344s
Received healthy response to inference request in 1.1770455837249756s
5 requests
0 failed requests
5th percentile: 0.9947370529174805
10th percentile: 1.038196611404419
20th percentile: 1.125115728378296
30th percentile: 1.1702693462371827
40th percentile: 1.1736574649810791
50th percentile: 1.1770455837249756
60th percentile: 1.1783755779266358
70th percentile: 1.1797055721282959
80th percentile: 1.3365705966949464
90th percentile: 1.648970651626587
95th percentile: 1.8051706790924071
99th percentile: 1.9301307010650635
mean time: 1.2877279281616212
Pipeline stage StressChecker completed in 7.07s
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-v6-2-2-5_v6 status is now deployed due to DeploymentManager action
cycy233-misllm-v6-2-2-5_v6 status is now inactive due to auto deactivation removed underperforming models

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