submission_id: cycy233-misllm-v6-9-8_v1
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v6.9.8
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: 2024-06-14T07:09:05+00:00
model_name: base
model_eval_status: success
model_group: cycy233/misllm_v6.9.8
num_battles: 14777
num_wins: 7136
celo_rating: 1168.85
propriety_score: 0.7002568363801178
propriety_total_count: 6619.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: base
ineligible_reason: None
language_model: cycy233/misllm_v6.9.8
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-14
win_ratio: 0.4829126344995601
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v6-9-8-v1-mkmlizer
Waiting for job on cycy233-misllm-v6-9-8-v1-mkmlizer to finish
cycy233-misllm-v6-9-8-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-misllm-v6-9-8-v1-mkmlizer: ║ _____ __ __ ║
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cycy233-misllm-v6-9-8-v1-mkmlizer: ║ ║
cycy233-misllm-v6-9-8-v1-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v6-9-8-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v6-9-8-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v6-9-8-v1-mkmlizer: ║ The license key for the current software has been verified as ║
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cycy233-misllm-v6-9-8-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v6-9-8-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v6-9-8-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-misllm-v6-9-8-v1-mkmlizer: ║ ║
cycy233-misllm-v6-9-8-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v6-9-8-v1-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-v6-9-8-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v6-9-8-v1-mkmlizer: Downloaded to shared memory in 26.147s
cycy233-misllm-v6-9-8-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v6-9-8-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v6-9-8-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 84.09it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 97.16it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 81.91it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v6-9-8-v1-mkmlizer: quantized model in 15.157s
cycy233-misllm-v6-9-8-v1-mkmlizer: Processed model cycy233/misllm_v6.9.8 in 43.738s
cycy233-misllm-v6-9-8-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v6-9-8-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v6-9-8-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v6-9-8-v1
cycy233-misllm-v6-9-8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v6-9-8-v1/tokenizer_config.json
cycy233-misllm-v6-9-8-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v6-9-8-v1/config.json
cycy233-misllm-v6-9-8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v6-9-8-v1/tokenizer.model
cycy233-misllm-v6-9-8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v6-9-8-v1/tokenizer.json
cycy233-misllm-v6-9-8-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v6-9-8-v1/special_tokens_map.json
cycy233-misllm-v6-9-8-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v6-9-8-v1/flywheel_model.0.safetensors
cycy233-misllm-v6-9-8-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v6-9-8-v1-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-v6-9-8-v1-mkmlizer: warnings.warn(
cycy233-misllm-v6-9-8-v1-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-v6-9-8-v1-mkmlizer: warnings.warn(
cycy233-misllm-v6-9-8-v1-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-v6-9-8-v1-mkmlizer: warnings.warn(
cycy233-misllm-v6-9-8-v1-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-v6-9-8-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v6-9-8-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v6-9-8-v1-mkmlizer: Saving duration: 0.429s
cycy233-misllm-v6-9-8-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.674s
cycy233-misllm-v6-9-8-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v6-9-8-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v6-9-8-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v6-9-8-v1_reward
cycy233-misllm-v6-9-8-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v6-9-8-v1_reward/config.json
cycy233-misllm-v6-9-8-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v6-9-8-v1_reward/special_tokens_map.json
cycy233-misllm-v6-9-8-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v6-9-8-v1_reward/vocab.json
cycy233-misllm-v6-9-8-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v6-9-8-v1_reward/merges.txt
cycy233-misllm-v6-9-8-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v6-9-8-v1_reward/tokenizer_config.json
cycy233-misllm-v6-9-8-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v6-9-8-v1_reward/tokenizer.json
cycy233-misllm-v6-9-8-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v6-9-8-v1_reward/reward.tensors
Job cycy233-misllm-v6-9-8-v1-mkmlizer completed after 73.41s with status: succeeded
Stopping job with name cycy233-misllm-v6-9-8-v1-mkmlizer
Pipeline stage MKMLizer completed in 77.24s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v6-9-8-v1
Waiting for inference service cycy233-misllm-v6-9-8-v1 to be ready
Inference service cycy233-misllm-v6-9-8-v1 ready after 40.21984076499939s
Pipeline stage ISVCDeployer completed in 47.75s
Running pipeline stage StressChecker
Received healthy response to inference request in 6.453837633132935s
Received healthy response to inference request in 0.900029182434082s
Received healthy response to inference request in 0.8630127906799316s
Received healthy response to inference request in 4.400843143463135s
Received healthy response to inference request in 1.0944688320159912s
5 requests
0 failed requests
5th percentile: 0.8704160690307617
10th percentile: 0.8778193473815918
20th percentile: 0.8926259040832519
30th percentile: 0.9389171123504638
40th percentile: 1.0166929721832276
50th percentile: 1.0944688320159912
60th percentile: 2.417018556594848
70th percentile: 3.7395682811737054
80th percentile: 4.811442041397095
90th percentile: 5.632639837265015
95th percentile: 6.043238735198974
99th percentile: 6.3717178535461425
mean time: 2.742438316345215
Pipeline stage StressChecker completed in 14.40s
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-v6-9-8_v1 status is now deployed due to DeploymentManager action
cycy233-misllm-v6-9-8_v1 status is now inactive due to auto deactivation removed underperforming models

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