submission_id: cycy233-misllm-v7-9-2-5_v2
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v7.9.2.5
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: 2024-06-18T02:37:08+00:00
model_name: base_f
model_group: cycy233/misllm_v7.9.2.5
num_battles: 11915
num_wins: 6068
celo_rating: 1192.85
propriety_score: 0.6867180805484148
propriety_total_count: 5835.0
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_v7.9.2.5
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-17
win_ratio: 0.5092740243390684
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v7-9-2-5-v2-mkmlizer
Waiting for job on cycy233-misllm-v7-9-2-5-v2-mkmlizer to finish
cycy233-misllm-v7-9-2-5-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-misllm-v7-9-2-5-v2-mkmlizer: ║ _____ __ __ ║
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cycy233-misllm-v7-9-2-5-v2-mkmlizer: ║ ║
cycy233-misllm-v7-9-2-5-v2-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v7-9-2-5-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v7-9-2-5-v2-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v7-9-2-5-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v7-9-2-5-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v7-9-2-5-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-misllm-v7-9-2-5-v2-mkmlizer: ║ ║
cycy233-misllm-v7-9-2-5-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v7-9-2-5-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-v7-9-2-5-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v7-9-2-5-v2-mkmlizer: Downloaded to shared memory in 165.256s
cycy233-misllm-v7-9-2-5-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v7-9-2-5-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v7-9-2-5-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 66.21it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:01, 78.16it/s] Loading 0: 100%|██████████| 291/291 [00:04<00:00, 68.91it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v7-9-2-5-v2-mkmlizer: quantized model in 16.114s
cycy233-misllm-v7-9-2-5-v2-mkmlizer: Processed model cycy233/misllm_v7.9.2.5 in 183.980s
cycy233-misllm-v7-9-2-5-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v7-9-2-5-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v7-9-2-5-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v7-9-2-5-v2
cycy233-misllm-v7-9-2-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v7-9-2-5-v2/tokenizer_config.json
cycy233-misllm-v7-9-2-5-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v7-9-2-5-v2/special_tokens_map.json
cycy233-misllm-v7-9-2-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v7-9-2-5-v2/tokenizer.model
cycy233-misllm-v7-9-2-5-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v7-9-2-5-v2/config.json
cycy233-misllm-v7-9-2-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v7-9-2-5-v2/tokenizer.json
cycy233-misllm-v7-9-2-5-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v7-9-2-5-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-v7-9-2-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v7-9-2-5-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-v7-9-2-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v7-9-2-5-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-v7-9-2-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v7-9-2-5-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-v7-9-2-5-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v7-9-2-5-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v7-9-2-5-v2-mkmlizer: Saving duration: 0.486s
cycy233-misllm-v7-9-2-5-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 12.367s
cycy233-misllm-v7-9-2-5-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v7-9-2-5-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v7-9-2-5-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v7-9-2-5-v2_reward
cycy233-misllm-v7-9-2-5-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v7-9-2-5-v2_reward/special_tokens_map.json
cycy233-misllm-v7-9-2-5-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v7-9-2-5-v2_reward/tokenizer_config.json
cycy233-misllm-v7-9-2-5-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v7-9-2-5-v2_reward/config.json
cycy233-misllm-v7-9-2-5-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v7-9-2-5-v2_reward/vocab.json
cycy233-misllm-v7-9-2-5-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v7-9-2-5-v2_reward/merges.txt
cycy233-misllm-v7-9-2-5-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v7-9-2-5-v2_reward/tokenizer.json
cycy233-misllm-v7-9-2-5-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v7-9-2-5-v2_reward/reward.tensors
Job cycy233-misllm-v7-9-2-5-v2-mkmlizer completed after 216.22s with status: succeeded
Stopping job with name cycy233-misllm-v7-9-2-5-v2-mkmlizer
Pipeline stage MKMLizer completed in 217.15s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v7-9-2-5-v2
Waiting for inference service cycy233-misllm-v7-9-2-5-v2 to be ready
Inference service cycy233-misllm-v7-9-2-5-v2 ready after 40.4379403591156s
Pipeline stage ISVCDeployer completed in 46.23s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.029466152191162s
Received healthy response to inference request in 1.180128812789917s
Received healthy response to inference request in 1.196606159210205s
Received healthy response to inference request in 7.49090838432312s
Received healthy response to inference request in 1.1191620826721191s
5 requests
0 failed requests
5th percentile: 1.1313554286956786
10th percentile: 1.1435487747192383
20th percentile: 1.1679354667663575
30th percentile: 1.1834242820739747
40th percentile: 1.1900152206420898
50th percentile: 1.196606159210205
60th percentile: 1.5297501564025877
70th percentile: 1.8628941535949706
80th percentile: 3.1217545986175548
90th percentile: 5.3063314914703374
95th percentile: 6.3986199378967274
99th percentile: 7.272450695037842
mean time: 2.6032543182373047
Pipeline stage StressChecker completed in 13.64s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
cycy233-misllm-v7-9-2-5_v2 status is now deployed due to DeploymentManager action
cycy233-misllm-v7-9-2-5_v2 status is now inactive due to auto deactivation removed underperforming models

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