submission_id: cycy233-misllm-v7-5-2-5_v1
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v7.5.2.5
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': 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: 2024-06-13T06:28:25+00:00
model_name: base
model_eval_status: success
model_group: cycy233/misllm_v7.5.2.5
num_battles: 17218
num_wins: 8530
celo_rating: 1178.23
propriety_score: 0.6866221191872358
propriety_total_count: 7333.0
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
ineligible_reason: None
language_model: cycy233/misllm_v7.5.2.5
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-12
win_ratio: 0.4954117783714717
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v7-5-2-5-v1-mkmlizer
Waiting for job on cycy233-misllm-v7-5-2-5-v1-mkmlizer to finish
cycy233-misllm-v7-5-2-5-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v7-5-2-5-v1-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v7-5-2-5-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v7-5-2-5-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v7-5-2-5-v1-mkmlizer: ║ Chai Research Corp. ║
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cycy233-misllm-v7-5-2-5-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v7-5-2-5-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-v7-5-2-5-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v7-5-2-5-v1-mkmlizer: Downloaded to shared memory in 29.860s
cycy233-misllm-v7-5-2-5-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v7-5-2-5-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v7-5-2-5-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 12%|█▏ | 35/291 [00:00<00:00, 348.64it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 73.94it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 92.04it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 77.37it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v7-5-2-5-v1-mkmlizer: quantized model in 15.528s
cycy233-misllm-v7-5-2-5-v1-mkmlizer: Processed model cycy233/misllm_v7.5.2.5 in 47.815s
cycy233-misllm-v7-5-2-5-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v7-5-2-5-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v7-5-2-5-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v7-5-2-5-v1
cycy233-misllm-v7-5-2-5-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v7-5-2-5-v1/config.json
cycy233-misllm-v7-5-2-5-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v7-5-2-5-v1/special_tokens_map.json
cycy233-misllm-v7-5-2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v7-5-2-5-v1/tokenizer_config.json
cycy233-misllm-v7-5-2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v7-5-2-5-v1/tokenizer.model
cycy233-misllm-v7-5-2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v7-5-2-5-v1/tokenizer.json
cycy233-misllm-v7-5-2-5-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v7-5-2-5-v1/flywheel_model.0.safetensors
cycy233-misllm-v7-5-2-5-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v7-5-2-5-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-v7-5-2-5-v1-mkmlizer: warnings.warn(
cycy233-misllm-v7-5-2-5-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-v7-5-2-5-v1-mkmlizer: warnings.warn(
cycy233-misllm-v7-5-2-5-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-v7-5-2-5-v1-mkmlizer: warnings.warn(
cycy233-misllm-v7-5-2-5-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-v7-5-2-5-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v7-5-2-5-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v7-5-2-5-v1-mkmlizer: Saving duration: 0.411s
cycy233-misllm-v7-5-2-5-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.721s
cycy233-misllm-v7-5-2-5-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v7-5-2-5-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v7-5-2-5-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v7-5-2-5-v1_reward
cycy233-misllm-v7-5-2-5-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v7-5-2-5-v1_reward/config.json
cycy233-misllm-v7-5-2-5-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v7-5-2-5-v1_reward/special_tokens_map.json
cycy233-misllm-v7-5-2-5-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v7-5-2-5-v1_reward/merges.txt
cycy233-misllm-v7-5-2-5-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v7-5-2-5-v1_reward/vocab.json
cycy233-misllm-v7-5-2-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v7-5-2-5-v1_reward/tokenizer_config.json
cycy233-misllm-v7-5-2-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v7-5-2-5-v1_reward/tokenizer.json
cycy233-misllm-v7-5-2-5-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v7-5-2-5-v1_reward/reward.tensors
Job cycy233-misllm-v7-5-2-5-v1-mkmlizer completed after 83.1s with status: succeeded
Stopping job with name cycy233-misllm-v7-5-2-5-v1-mkmlizer
Pipeline stage MKMLizer completed in 87.61s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v7-5-2-5-v1
Waiting for inference service cycy233-misllm-v7-5-2-5-v1 to be ready
Inference service cycy233-misllm-v7-5-2-5-v1 ready after 70.65005946159363s
Pipeline stage ISVCDeployer completed in 79.26s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.095518112182617s
Received healthy response to inference request in 1.1912157535552979s
Received healthy response to inference request in 0.9637625217437744s
Received healthy response to inference request in 1.0086820125579834s
Received healthy response to inference request in 0.8337411880493164s
5 requests
0 failed requests
5th percentile: 0.859745454788208
10th percentile: 0.8857497215270996
20th percentile: 0.9377582550048829
30th percentile: 0.9727464199066163
40th percentile: 0.9907142162322998
50th percentile: 1.0086820125579834
60th percentile: 1.0816955089569091
70th percentile: 1.1547090053558349
80th percentile: 1.372076225280762
90th percentile: 1.7337971687316895
95th percentile: 1.9146576404571531
99th percentile: 2.0593460178375245
mean time: 1.218583917617798
Pipeline stage StressChecker completed in 6.70s
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 0.02s
M-Eval Dataset for topic stay_in_character is loaded
cycy233-misllm-v7-5-2-5_v1 status is now deployed due to DeploymentManager action
cycy233-misllm-v7-5-2-5_v1 status is now inactive due to auto deactivation removed underperforming models

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