jellywibble-chateaulafit_1556

submission_id: jellywibble-chateaulafit_1556_v3
developer_uid: Jellywibble
best_of: 4
celo_rating: 1179.7
display_name: jellywibble-chateaulafit_1556_v3
family_friendly_score: 0.0
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}
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': 4, 'max_output_tokens': 64}
is_internal_developer: True
language_model: Jellywibble/ChateauLafite8BLORA
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: Jellywibble/ChateauLafit
model_name: jellywibble-chateaulafit_1556_v3
model_num_parameters: 8030261248.0
model_repo: Jellywibble/ChateauLafite8BLORA
model_size: 8B
num_battles: 10429
num_wins: 5307
ranking_group: single
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'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-05-27T20:04:49+00:00
us_pacific_date: 2024-05-27
win_ratio: 0.5088694985137597
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jellywibble-chateaulafit-1556-v3-mkmlizer
Waiting for job on jellywibble-chateaulafit-1556-v3-mkmlizer to finish
jellywibble-chateaulafit-1556-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-chateaulafit-1556-v3-mkmlizer: ║     _____            __           __                                ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ║       /___/                                                         ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ║                                                                     ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ║  Version: 0.8.14                                                    ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ║                                                                     ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ║  belonging to:                                                      ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ║                                                                     ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ║                                                                     ║
jellywibble-chateaulafit-1556-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-chateaulafit-1556-v3-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.
jellywibble-chateaulafit-1556-v3-mkmlizer:   warnings.warn(warning_message, FutureWarning)
jellywibble-chateaulafit-1556-v3-mkmlizer: Downloaded to shared memory in 40.706s
jellywibble-chateaulafit-1556-v3-mkmlizer: quantizing model to /dev/shm/model_cache
jellywibble-chateaulafit-1556-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-chateaulafit-1556-v3-mkmlizer: 
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
jellywibble-chateaulafit-1556-v3-mkmlizer: quantized model in 25.038s
jellywibble-chateaulafit-1556-v3-mkmlizer: Processed model Jellywibble/ChateauLafite8BLORA in 70.755s
jellywibble-chateaulafit-1556-v3-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-chateaulafit-1556-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-chateaulafit-1556-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-chateaulafit-1556-v3
jellywibble-chateaulafit-1556-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-chateaulafit-1556-v3/special_tokens_map.json
jellywibble-chateaulafit-1556-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-chateaulafit-1556-v3/config.json
jellywibble-chateaulafit-1556-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-chateaulafit-1556-v3/tokenizer_config.json
jellywibble-chateaulafit-1556-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-chateaulafit-1556-v3/tokenizer.json
jellywibble-chateaulafit-1556-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-chateaulafit-1556-v3/flywheel_model.0.safetensors
jellywibble-chateaulafit-1556-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
jellywibble-chateaulafit-1556-v3-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.
jellywibble-chateaulafit-1556-v3-mkmlizer:   warnings.warn(
jellywibble-chateaulafit-1556-v3-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.
jellywibble-chateaulafit-1556-v3-mkmlizer:   warnings.warn(
jellywibble-chateaulafit-1556-v3-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.
jellywibble-chateaulafit-1556-v3-mkmlizer:   warnings.warn(
jellywibble-chateaulafit-1556-v3-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()
jellywibble-chateaulafit-1556-v3-mkmlizer:   return self.fget.__get__(instance, owner)()
jellywibble-chateaulafit-1556-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-chateaulafit-1556-v3-mkmlizer: Saving duration: 0.405s
jellywibble-chateaulafit-1556-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.582s
jellywibble-chateaulafit-1556-v3-mkmlizer: creating bucket guanaco-reward-models
jellywibble-chateaulafit-1556-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-chateaulafit-1556-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-chateaulafit-1556-v3_reward
jellywibble-chateaulafit-1556-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-chateaulafit-1556-v3_reward/special_tokens_map.json
jellywibble-chateaulafit-1556-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-chateaulafit-1556-v3_reward/tokenizer_config.json
jellywibble-chateaulafit-1556-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-chateaulafit-1556-v3_reward/config.json
jellywibble-chateaulafit-1556-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-chateaulafit-1556-v3_reward/merges.txt
jellywibble-chateaulafit-1556-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-chateaulafit-1556-v3_reward/vocab.json
jellywibble-chateaulafit-1556-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-chateaulafit-1556-v3_reward/tokenizer.json
jellywibble-chateaulafit-1556-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-chateaulafit-1556-v3_reward/reward.tensors
Job jellywibble-chateaulafit-1556-v3-mkmlizer completed after 93.89s with status: succeeded
Stopping job with name jellywibble-chateaulafit-1556-v3-mkmlizer
Pipeline stage MKMLizer completed in 98.32s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-chateaulafit-1556-v3
Waiting for inference service jellywibble-chateaulafit-1556-v3 to be ready
Inference service jellywibble-chateaulafit-1556-v3 ready after 50.260327100753784s
Pipeline stage ISVCDeployer completed in 58.02s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.18403697013855s
Received healthy response to inference request in 1.1231260299682617s
Received healthy response to inference request in 1.4539086818695068s
Received healthy response to inference request in 1.104689598083496s
Received healthy response to inference request in 1.893359661102295s
5 requests
0 failed requests
5th percentile: 1.1083768844604491
10th percentile: 1.1120641708374024
20th percentile: 1.1194387435913087
30th percentile: 1.1892825603485107
40th percentile: 1.3215956211090087
50th percentile: 1.4539086818695068
60th percentile: 1.629689073562622
70th percentile: 1.8054694652557373
80th percentile: 1.9514951229095459
90th percentile: 2.067766046524048
95th percentile: 2.1259015083312987
99th percentile: 2.1724098777770995
mean time: 1.551824188232422
Pipeline stage StressChecker completed in 8.74s
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
jellywibble-chateaulafit_1556_v3 status is now deployed due to DeploymentManager action
jellywibble-chateaulafit_1556_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of jellywibble-chateaulafit_1556_v3
Running pipeline stage ISVCDeleter
Checking if service jellywibble-chateaulafit-1556-v3 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 2.95s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key jellywibble-chateaulafit-1556-v3/config.json from bucket guanaco-mkml-models
Deleting key jellywibble-chateaulafit-1556-v3/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key jellywibble-chateaulafit-1556-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key jellywibble-chateaulafit-1556-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key jellywibble-chateaulafit-1556-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key jellywibble-chateaulafit-1556-v3_reward/config.json from bucket guanaco-reward-models
Deleting key jellywibble-chateaulafit-1556-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key jellywibble-chateaulafit-1556-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key jellywibble-chateaulafit-1556-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key jellywibble-chateaulafit-1556-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key jellywibble-chateaulafit-1556-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key jellywibble-chateaulafit-1556-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.60s
jellywibble-chateaulafit_1556_v3 status is now torndown due to DeploymentManager action