developer_uid: shiroe40
submission_id: cycy233-misllm-v5-5_v2
model_name: inference_test
model_group: cycy233/misllm_v5.5
status: torndown
timestamp: 2024-05-24T01:58:32+00:00
num_battles: 13465
num_wins: 6699
celo_rating: 1163.14
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/misllm_v5.5
model_architecture: MistralForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: inference_test
is_internal_developer: False
language_model: cycy233/misllm_v5.5
model_size: 7B
ranking_group: single
us_pacific_date: 2024-05-23
win_ratio: 0.49751206832528777
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': "### Instruction\nYou are a creative agent roleplaying as a character called {bot_name}. Stay true to the persona given, reply with long and descriptive sentences. Do not be repetitive. This is {bot_name}'s persona:\n{memory}", 'prompt_template': "### Input:\n # {bot_name}'s example conversation: \n{prompt}\n### Response: \n# Based on {bot_name}'s persona and the example conversation, please complete the following actual conversation as the Assistant (as {bot_name}) :\n", 'bot_template': '### {bot_name}: {message}\n', 'user_template': '### {user_name}: {message}\n', 'response_template': '### {bot_name}:', 'truncate_by_message': False}
model_eval_status: success
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v5-5-v2-mkmlizer
Waiting for job on cycy233-misllm-v5-5-v2-mkmlizer to finish
Stopping job with name cycy233-misllm-v5-5-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name cycy233-misllm-v5-5-v2-mkmlizer
Waiting for job on cycy233-misllm-v5-5-v2-mkmlizer to finish
cycy233-misllm-v5-5-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v5-5-v2-mkmlizer: ║ ║
cycy233-misllm-v5-5-v2-mkmlizer: ║ Version: 0.8.14 ║
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cycy233-misllm-v5-5-v2-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v5-5-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v5-5-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-misllm-v5-5-v2-mkmlizer: ║ ║
cycy233-misllm-v5-5-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v5-5-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-v5-5-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v5-5-v2-mkmlizer: Downloaded to shared memory in 23.247s
cycy233-misllm-v5-5-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v5-5-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v5-5-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 91.80it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 102.92it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 87.93it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v5-5-v2-mkmlizer: quantized model in 11.507s
cycy233-misllm-v5-5-v2-mkmlizer: Processed model cycy233/misllm_v5.5 in 35.739s
cycy233-misllm-v5-5-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v5-5-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v5-5-v2/special_tokens_map.json
cycy233-misllm-v5-5-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v5-5-v2/config.json
cycy233-misllm-v5-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v5-5-v2/tokenizer_config.json
cycy233-misllm-v5-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v5-5-v2/tokenizer.model
cycy233-misllm-v5-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v5-5-v2/tokenizer.json
cycy233-misllm-v5-5-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v5-5-v2/flywheel_model.0.safetensors
cycy233-misllm-v5-5-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v5-5-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-v5-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v5-5-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-v5-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v5-5-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-v5-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v5-5-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-v5-5-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v5-5-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v5-5-v2-mkmlizer: Saving duration: 0.306s
cycy233-misllm-v5-5-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.283s
cycy233-misllm-v5-5-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v5-5-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v5-5-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v5-5-v2_reward
cycy233-misllm-v5-5-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v5-5-v2_reward/config.json
cycy233-misllm-v5-5-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v5-5-v2_reward/special_tokens_map.json
cycy233-misllm-v5-5-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v5-5-v2_reward/tokenizer_config.json
cycy233-misllm-v5-5-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v5-5-v2_reward/merges.txt
cycy233-misllm-v5-5-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v5-5-v2_reward/vocab.json
cycy233-misllm-v5-5-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v5-5-v2_reward/tokenizer.json
cycy233-misllm-v5-5-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v5-5-v2_reward/reward.tensors
Job cycy233-misllm-v5-5-v2-mkmlizer completed after 62.97s with status: succeeded
Stopping job with name cycy233-misllm-v5-5-v2-mkmlizer
Pipeline stage MKMLizer completed in 67.53s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v5-5-v2
Waiting for inference service cycy233-misllm-v5-5-v2 to be ready
Inference service cycy233-misllm-v5-5-v2 ready after 40.33400249481201s
Pipeline stage ISVCDeployer completed in 48.10s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0133450031280518s
Received healthy response to inference request in 1.1891694068908691s
Received healthy response to inference request in 1.2101829051971436s
Received healthy response to inference request in 1.2025437355041504s
Received healthy response to inference request in 1.1824755668640137s
5 requests
0 failed requests
5th percentile: 1.1838143348693848
10th percentile: 1.185153102874756
20th percentile: 1.187830638885498
30th percentile: 1.1918442726135254
40th percentile: 1.1971940040588378
50th percentile: 1.2025437355041504
60th percentile: 1.2055994033813477
70th percentile: 1.2086550712585449
80th percentile: 1.3708153247833255
90th percentile: 1.6920801639556886
95th percentile: 1.8527125835418699
99th percentile: 1.9812185192108154
mean time: 1.3595433235168457
Pipeline stage StressChecker completed in 7.50s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.05s
M-Eval Dataset for topic stay_in_character is loaded
cycy233-misllm-v5-5_v2 status is now deployed due to DeploymentManager action
cycy233-misllm-v5-5_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-misllm-v5-5_v2
Running pipeline stage ISVCDeleter
Checking if service cycy233-misllm-v5-5-v2 is running
Tearing down inference service cycy233-misllm-v5-5-v2
Toredown service cycy233-misllm-v5-5-v2
Pipeline stage ISVCDeleter completed in 4.55s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-misllm-v5-5-v2/config.json from bucket guanaco-mkml-models
Deleting key cycy233-misllm-v5-5-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-misllm-v5-5-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-misllm-v5-5-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-misllm-v5-5-v2/tokenizer.model from bucket guanaco-mkml-models
Deleting key cycy233-misllm-v5-5-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-misllm-v5-5-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-misllm-v5-5-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-misllm-v5-5-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-misllm-v5-5-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-misllm-v5-5-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-misllm-v5-5-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-misllm-v5-5-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.78s
cycy233-misllm-v5-5_v2 status is now torndown due to DeploymentManager action