submission_id: cycy233-misllm-v6-2-2-5_v3
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: 2024-05-31T00:43:13+00:00
model_name: base_f
model_eval_status: success
model_group: cycy233/misllm_v6.2.2.5
num_battles: 6747
num_wins: 3457
celo_rating: 1200.07
propriety_score: 0.6666666666666666
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: 0.5123758707573737
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v6-2-2-5-v3-mkmlizer
Waiting for job on cycy233-misllm-v6-2-2-5-v3-mkmlizer to finish
cycy233-misllm-v6-2-2-5-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v6-2-2-5-v3-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v6-2-2-5-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v6-2-2-5-v3-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v6-2-2-5-v3-mkmlizer: ║ Chai Research Corp. ║
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cycy233-misllm-v6-2-2-5-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v6-2-2-5-v3-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-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v6-2-2-5-v3-mkmlizer: Downloaded to shared memory in 16.011s
cycy233-misllm-v6-2-2-5-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v6-2-2-5-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v6-2-2-5-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:01, 97.58it/s] Loading 0: 70%|███████ | 204/291 [00:01<00:00, 109.08it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 85.52it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v6-2-2-5-v3-mkmlizer: quantized model in 14.621s
cycy233-misllm-v6-2-2-5-v3-mkmlizer: Processed model cycy233/misllm_v6.2.2.5 in 32.884s
cycy233-misllm-v6-2-2-5-v3-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v6-2-2-5-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v6-2-2-5-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v3
cycy233-misllm-v6-2-2-5-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v3/config.json
cycy233-misllm-v6-2-2-5-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v3/special_tokens_map.json
cycy233-misllm-v6-2-2-5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v3/tokenizer_config.json
cycy233-misllm-v6-2-2-5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v3/tokenizer.json
cycy233-misllm-v6-2-2-5-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v3/tokenizer.model
cycy233-misllm-v6-2-2-5-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v3/flywheel_model.0.safetensors
cycy233-misllm-v6-2-2-5-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v6-2-2-5-v3-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-v3-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-v3-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-v3-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-v3-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-v3-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-v3-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-v3-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v6-2-2-5-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v6-2-2-5-v3-mkmlizer: Saving duration: 0.395s
cycy233-misllm-v6-2-2-5-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.771s
cycy233-misllm-v6-2-2-5-v3-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v6-2-2-5-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v6-2-2-5-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v3_reward
cycy233-misllm-v6-2-2-5-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v3_reward/config.json
cycy233-misllm-v6-2-2-5-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v3_reward/special_tokens_map.json
cycy233-misllm-v6-2-2-5-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v3_reward/tokenizer_config.json
cycy233-misllm-v6-2-2-5-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v3_reward/merges.txt
cycy233-misllm-v6-2-2-5-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v3_reward/vocab.json
cycy233-misllm-v6-2-2-5-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v3_reward/tokenizer.json
cycy233-misllm-v6-2-2-5-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v3_reward/reward.tensors
Job cycy233-misllm-v6-2-2-5-v3-mkmlizer completed after 63.14s with status: succeeded
Stopping job with name cycy233-misllm-v6-2-2-5-v3-mkmlizer
Pipeline stage MKMLizer completed in 64.03s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v6-2-2-5-v3
Waiting for inference service cycy233-misllm-v6-2-2-5-v3 to be ready
Inference service cycy233-misllm-v6-2-2-5-v3 ready after 40.23312044143677s
Pipeline stage ISVCDeployer completed in 46.12s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.00248384475708s
Received healthy response to inference request in 1.162247896194458s
Received healthy response to inference request in 1.1675512790679932s
Received healthy response to inference request in 1.085005521774292s
Received healthy response to inference request in 1.1182575225830078s
5 requests
0 failed requests
5th percentile: 1.0916559219360351
10th percentile: 1.0983063220977782
20th percentile: 1.1116071224212647
30th percentile: 1.1270555973052978
40th percentile: 1.144651746749878
50th percentile: 1.162247896194458
60th percentile: 1.164369249343872
70th percentile: 1.1664906024932862
80th percentile: 1.3345377922058108
90th percentile: 1.6685108184814454
95th percentile: 1.8354973316192624
99th percentile: 1.9690865421295165
mean time: 1.3071092128753663
Pipeline stage StressChecker completed in 7.19s
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_v3 status is now deployed due to DeploymentManager action
cycy233-misllm-v6-2-2-5_v3 status is now inactive due to auto deactivation removed underperforming models

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