submission_id: cycy233-misllm-v8-1-3_v2
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v8.1.3
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: 2024-06-17T06:05:25+00:00
model_name: base_f
model_eval_status: success
model_group: cycy233/misllm_v8.1.3
num_battles: 14466
num_wins: 7305
celo_rating: 1189.13
propriety_score: 0.6849745585154146
propriety_total_count: 6682.0
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_v8.1.3
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-16
win_ratio: 0.5049771878888428
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v8-1-3-v2-mkmlizer
Waiting for job on cycy233-misllm-v8-1-3-v2-mkmlizer to finish
cycy233-misllm-v8-1-3-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v8-1-3-v2-mkmlizer: ║ ║
cycy233-misllm-v8-1-3-v2-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v8-1-3-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v8-1-3-v2-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v8-1-3-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v8-1-3-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v8-1-3-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-misllm-v8-1-3-v2-mkmlizer: ║ ║
cycy233-misllm-v8-1-3-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v8-1-3-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-v8-1-3-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v8-1-3-v2-mkmlizer: Downloaded to shared memory in 14.010s
cycy233-misllm-v8-1-3-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v8-1-3-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v8-1-3-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 91.20it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 100.04it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 83.36it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v8-1-3-v2-mkmlizer: quantized model in 15.352s
cycy233-misllm-v8-1-3-v2-mkmlizer: Processed model cycy233/misllm_v8.1.3 in 31.807s
cycy233-misllm-v8-1-3-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v8-1-3-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v8-1-3-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v8-1-3-v2
cycy233-misllm-v8-1-3-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v8-1-3-v2/config.json
cycy233-misllm-v8-1-3-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v8-1-3-v2/special_tokens_map.json
cycy233-misllm-v8-1-3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v8-1-3-v2/tokenizer.model
cycy233-misllm-v8-1-3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v8-1-3-v2/tokenizer.json
cycy233-misllm-v8-1-3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v8-1-3-v2/tokenizer_config.json
cycy233-misllm-v8-1-3-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v8-1-3-v2/flywheel_model.0.safetensors
cycy233-misllm-v8-1-3-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v8-1-3-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-v8-1-3-v2-mkmlizer: warnings.warn(
cycy233-misllm-v8-1-3-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-v8-1-3-v2-mkmlizer: warnings.warn(
cycy233-misllm-v8-1-3-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-v8-1-3-v2-mkmlizer: warnings.warn(
cycy233-misllm-v8-1-3-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-v8-1-3-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v8-1-3-v2-mkmlizer: Saving duration: 0.403s
cycy233-misllm-v8-1-3-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.331s
cycy233-misllm-v8-1-3-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v8-1-3-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v8-1-3-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v8-1-3-v2_reward
cycy233-misllm-v8-1-3-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v8-1-3-v2_reward/special_tokens_map.json
cycy233-misllm-v8-1-3-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v8-1-3-v2_reward/config.json
cycy233-misllm-v8-1-3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v8-1-3-v2_reward/tokenizer_config.json
cycy233-misllm-v8-1-3-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v8-1-3-v2_reward/merges.txt
cycy233-misllm-v8-1-3-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v8-1-3-v2_reward/vocab.json
cycy233-misllm-v8-1-3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v8-1-3-v2_reward/tokenizer.json
cycy233-misllm-v8-1-3-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v8-1-3-v2_reward/reward.tensors
Job cycy233-misllm-v8-1-3-v2-mkmlizer completed after 62.66s with status: succeeded
Stopping job with name cycy233-misllm-v8-1-3-v2-mkmlizer
Pipeline stage MKMLizer completed in 65.11s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v8-1-3-v2
Waiting for inference service cycy233-misllm-v8-1-3-v2 to be ready
Inference service cycy233-misllm-v8-1-3-v2 ready after 50.28082633018494s
Pipeline stage ISVCDeployer completed in 56.93s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1226181983947754s
Received healthy response to inference request in 1.0682542324066162s
Received healthy response to inference request in 1.1851494312286377s
Received healthy response to inference request in 1.180750846862793s
Received healthy response to inference request in 1.1682000160217285s
5 requests
0 failed requests
5th percentile: 1.0882433891296386
10th percentile: 1.1082325458526612
20th percentile: 1.1482108592987061
30th percentile: 1.1707101821899415
40th percentile: 1.1757305145263672
50th percentile: 1.180750846862793
60th percentile: 1.1825102806091308
70th percentile: 1.1842697143554688
80th percentile: 1.3726431846618654
90th percentile: 1.7476306915283204
95th percentile: 1.9351244449615477
99th percentile: 2.08511944770813
mean time: 1.3449945449829102
Pipeline stage StressChecker completed in 7.34s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
Running M-Eval for topic stay_in_character
cycy233-misllm-v8-1-3_v2 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
cycy233-misllm-v8-1-3_v2 status is now inactive due to auto deactivation removed underperforming models

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