submission_id: cycy233-misllm-v7-8-2-5_v1
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v7.8.2.5
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: 2024-06-17T03:20:03+00:00
model_name: base_f
model_eval_status: success
model_group: cycy233/misllm_v7.8.2.5
num_battles: 16352
num_wins: 8419
celo_rating: 1200.49
propriety_score: 0.6836802333289143
propriety_total_count: 7543.0
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_v7.8.2.5
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-16
win_ratio: 0.5148605675146771
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v7-8-2-5-v1-mkmlizer
Waiting for job on cycy233-misllm-v7-8-2-5-v1-mkmlizer to finish
cycy233-misllm-v7-8-2-5-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v7-8-2-5-v1-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v7-8-2-5-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v7-8-2-5-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v7-8-2-5-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v7-8-2-5-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v7-8-2-5-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cycy233-misllm-v7-8-2-5-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v7-8-2-5-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-v7-8-2-5-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
Retrying (%r) after connection broken by '%r': %s
cycy233-misllm-v7-8-2-5-v1-mkmlizer: Downloaded to shared memory in 43.209s
cycy233-misllm-v7-8-2-5-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v7-8-2-5-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v7-8-2-5-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 81.43it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 90.70it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 77.69it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v7-8-2-5-v1-mkmlizer: quantized model in 15.504s
cycy233-misllm-v7-8-2-5-v1-mkmlizer: Processed model cycy233/misllm_v7.8.2.5 in 61.040s
cycy233-misllm-v7-8-2-5-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v7-8-2-5-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v7-8-2-5-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v7-8-2-5-v1
cycy233-misllm-v7-8-2-5-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v7-8-2-5-v1/config.json
cycy233-misllm-v7-8-2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v7-8-2-5-v1/tokenizer_config.json
cycy233-misllm-v7-8-2-5-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v7-8-2-5-v1/special_tokens_map.json
cycy233-misllm-v7-8-2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v7-8-2-5-v1/tokenizer.model
cycy233-misllm-v7-8-2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v7-8-2-5-v1/tokenizer.json
cycy233-misllm-v7-8-2-5-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v7-8-2-5-v1/flywheel_model.0.safetensors
cycy233-misllm-v7-8-2-5-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v7-8-2-5-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-v7-8-2-5-v1-mkmlizer: warnings.warn(
cycy233-misllm-v7-8-2-5-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-v7-8-2-5-v1-mkmlizer: warnings.warn(
cycy233-misllm-v7-8-2-5-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-v7-8-2-5-v1-mkmlizer: warnings.warn(
cycy233-misllm-v7-8-2-5-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-v7-8-2-5-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v7-8-2-5-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v7-8-2-5-v1-mkmlizer: Saving duration: 0.418s
cycy233-misllm-v7-8-2-5-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 22.353s
cycy233-misllm-v7-8-2-5-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v7-8-2-5-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v7-8-2-5-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v7-8-2-5-v1_reward
cycy233-misllm-v7-8-2-5-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v7-8-2-5-v1_reward/config.json
cycy233-misllm-v7-8-2-5-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v7-8-2-5-v1_reward/special_tokens_map.json
cycy233-misllm-v7-8-2-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v7-8-2-5-v1_reward/tokenizer_config.json
cycy233-misllm-v7-8-2-5-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v7-8-2-5-v1_reward/merges.txt
cycy233-misllm-v7-8-2-5-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v7-8-2-5-v1_reward/vocab.json
cycy233-misllm-v7-8-2-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v7-8-2-5-v1_reward/tokenizer.json
cycy233-misllm-v7-8-2-5-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v7-8-2-5-v1_reward/reward.tensors
Job cycy233-misllm-v7-8-2-5-v1-mkmlizer completed after 113.81s with status: succeeded
Stopping job with name cycy233-misllm-v7-8-2-5-v1-mkmlizer
Pipeline stage MKMLizer completed in 116.98s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v7-8-2-5-v1
Waiting for inference service cycy233-misllm-v7-8-2-5-v1 to be ready
Inference service cycy233-misllm-v7-8-2-5-v1 ready after 30.168256282806396s
Pipeline stage ISVCDeployer completed in 37.29s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0907599925994873s
Received healthy response to inference request in 1.08905029296875s
Received healthy response to inference request in 1.1977665424346924s
Received healthy response to inference request in 1.201066493988037s
Received healthy response to inference request in 1.250330924987793s
5 requests
0 failed requests
5th percentile: 1.1107935428619384
10th percentile: 1.1325367927551269
20th percentile: 1.176023292541504
30th percentile: 1.1984265327453614
40th percentile: 1.1997465133666991
50th percentile: 1.201066493988037
60th percentile: 1.2207722663879395
70th percentile: 1.2404780387878418
80th percentile: 1.418416738510132
90th percentile: 1.7545883655548096
95th percentile: 1.9226741790771482
99th percentile: 2.0571428298950196
mean time: 1.365794849395752
Pipeline stage StressChecker completed in 7.47s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
Running M-Eval for topic stay_in_character
cycy233-misllm-v7-8-2-5_v1 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
cycy233-misllm-v7-8-2-5_v1 status is now inactive due to auto deactivation removed underperforming models

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