submission_id: cycy233-misllm-v8-1-2-5_v2
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v8.1.2.5
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: 2024-06-17T06:03:41+00:00
model_name: base_f
model_eval_status: success
model_group: cycy233/misllm_v8.1.2.5
num_battles: 14788
num_wins: 7381
celo_rating: 1185.44
propriety_score: 0.6898480068827072
propriety_total_count: 6974.0
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: None
language_model: cycy233/misllm_v8.1.2.5
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-16
win_ratio: 0.4991209088450095
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v8-1-2-5-v2-mkmlizer
Waiting for job on cycy233-misllm-v8-1-2-5-v2-mkmlizer to finish
cycy233-misllm-v8-1-2-5-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-misllm-v8-1-2-5-v2-mkmlizer: ║ _____ __ __ ║
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cycy233-misllm-v8-1-2-5-v2-mkmlizer: ║ ║
cycy233-misllm-v8-1-2-5-v2-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v8-1-2-5-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v8-1-2-5-v2-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v8-1-2-5-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v8-1-2-5-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v8-1-2-5-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cycy233-misllm-v8-1-2-5-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v8-1-2-5-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-v8-1-2-5-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v8-1-2-5-v2-mkmlizer: Downloaded to shared memory in 23.464s
cycy233-misllm-v8-1-2-5-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v8-1-2-5-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v8-1-2-5-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 92.74it/s] Loading 0: 70%|███████ | 204/291 [00:01<00:00, 104.60it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 84.75it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v8-1-2-5-v2-mkmlizer: quantized model in 15.593s
cycy233-misllm-v8-1-2-5-v2-mkmlizer: Processed model cycy233/misllm_v8.1.2.5 in 41.598s
cycy233-misllm-v8-1-2-5-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v8-1-2-5-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v8-1-2-5-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v8-1-2-5-v2
cycy233-misllm-v8-1-2-5-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v8-1-2-5-v2/special_tokens_map.json
cycy233-misllm-v8-1-2-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v8-1-2-5-v2/tokenizer_config.json
cycy233-misllm-v8-1-2-5-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v8-1-2-5-v2/config.json
cycy233-misllm-v8-1-2-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v8-1-2-5-v2/tokenizer.json
cycy233-misllm-v8-1-2-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v8-1-2-5-v2/tokenizer.model
cycy233-misllm-v8-1-2-5-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v8-1-2-5-v2/flywheel_model.0.safetensors
cycy233-misllm-v8-1-2-5-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v8-1-2-5-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-v8-1-2-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v8-1-2-5-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-v8-1-2-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v8-1-2-5-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-v8-1-2-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v8-1-2-5-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-v8-1-2-5-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v8-1-2-5-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v8-1-2-5-v2-mkmlizer: Saving duration: 0.463s
cycy233-misllm-v8-1-2-5-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 12.217s
cycy233-misllm-v8-1-2-5-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v8-1-2-5-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v8-1-2-5-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v8-1-2-5-v2_reward
cycy233-misllm-v8-1-2-5-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v8-1-2-5-v2_reward/config.json
cycy233-misllm-v8-1-2-5-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v8-1-2-5-v2_reward/tokenizer_config.json
cycy233-misllm-v8-1-2-5-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v8-1-2-5-v2_reward/special_tokens_map.json
cycy233-misllm-v8-1-2-5-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v8-1-2-5-v2_reward/vocab.json
cycy233-misllm-v8-1-2-5-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v8-1-2-5-v2_reward/merges.txt
cycy233-misllm-v8-1-2-5-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v8-1-2-5-v2_reward/tokenizer.json
cycy233-misllm-v8-1-2-5-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v8-1-2-5-v2_reward/reward.tensors
Job cycy233-misllm-v8-1-2-5-v2-mkmlizer completed after 72.82s with status: succeeded
Stopping job with name cycy233-misllm-v8-1-2-5-v2-mkmlizer
Pipeline stage MKMLizer completed in 75.73s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v8-1-2-5-v2
Waiting for inference service cycy233-misllm-v8-1-2-5-v2 to be ready
Inference service cycy233-misllm-v8-1-2-5-v2 ready after 40.24218130111694s
Pipeline stage ISVCDeployer completed in 47.14s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0346717834472656s
Received healthy response to inference request in 1.1755733489990234s
Received healthy response to inference request in 1.201974630355835s
Received healthy response to inference request in 1.191545009613037s
Received healthy response to inference request in 18.20640778541565s
5 requests
0 failed requests
5th percentile: 1.1787676811218262
10th percentile: 1.181962013244629
20th percentile: 1.1883506774902344
30th percentile: 1.1936309337615967
40th percentile: 1.1978027820587158
50th percentile: 1.201974630355835
60th percentile: 1.5350534915924072
70th percentile: 1.8681323528289793
80th percentile: 5.269018983840946
90th percentile: 11.737713384628297
95th percentile: 14.97206058502197
99th percentile: 17.559538345336914
mean time: 4.762034511566162
Pipeline stage StressChecker completed in 24.40s
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-v8-1-2-5_v2 status is now deployed due to DeploymentManager action
cycy233-misllm-v8-1-2-5_v2 status is now inactive due to auto deactivation removed underperforming models

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