submission_id: cgato-l3-thespice-8b-dpo_4375_v1
developer_uid: c.gato
status: inactive
model_repo: cgato/L3-TheSpice-8b-DPO-v3.2-e11.2
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 200, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'You:'], '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: 2024-05-27T22:17:20+00:00
model_name: cgato-l3-thespice-8b-dpo_4375_v1
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-DPO
num_battles: 9369
num_wins: 5023
celo_rating: 1204.86
safety_score: 0.87
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030277632.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cgato-l3-thespice-8b-dpo_4375_v1
ineligible_reason: propriety_total_count < 5000
language_model: cgato/L3-TheSpice-8b-DPO-v3.2-e11.2
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-27
win_ratio: 0.5361297897320952
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer
Waiting for job on cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer to finish
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: ║ ║
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: ║ Version: 0.8.14 ║
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: ║ https://mk1.ai ║
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cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: ║ Chai Research Corp. ║
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cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-dpo-4375-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.
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: Downloaded to shared memory in 33.288s
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:03, 62.84it/s] Loading 0: 64%|██████▍ | 187/291 [00:03<00:01, 58.62it/s] Loading 0: 99%|█████████▊| 287/291 [00:03<00:00, 87.95it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: quantized model in 21.464s
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: Processed model cgato/L3-TheSpice-8b-DPO-v3.2-e11.2 in 56.030s
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-4375-v1
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-4375-v1/config.json
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-4375-v1/special_tokens_map.json
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-4375-v1/tokenizer_config.json
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-4375-v1/tokenizer.json
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-4375-v1/flywheel_model.0.safetensors
cgato-l3-thespice-8b-dpo-4375-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.
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-4375-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()
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: Saving duration: 0.279s
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.659s
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-4375-v1_reward
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-4375-v1_reward/special_tokens_map.json
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-4375-v1_reward/config.json
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-4375-v1_reward/tokenizer_config.json
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-4375-v1_reward/vocab.json
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-4375-v1_reward/merges.txt
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-4375-v1_reward/tokenizer.json
cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-4375-v1_reward/reward.tensors
Job cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer completed after 89.26s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-dpo-4375-v1-mkmlizer
Pipeline stage MKMLizer completed in 90.04s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-dpo-4375-v1
Waiting for inference service cgato-l3-thespice-8b-dpo-4375-v1 to be ready
Inference service cgato-l3-thespice-8b-dpo-4375-v1 ready after 40.52662920951843s
Pipeline stage ISVCDeployer completed in 46.35s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2403252124786377s
Received healthy response to inference request in 3.8727588653564453s
Received healthy response to inference request in 5.9402055740356445s
Received healthy response to inference request in 1.2604787349700928s
Received healthy response to inference request in 2.6946299076080322s
5 requests
0 failed requests
5th percentile: 1.4564480304718017
10th percentile: 1.6524173259735107
20th percentile: 2.0443559169769285
30th percentile: 2.3311861515045167
40th percentile: 2.5129080295562742
50th percentile: 2.6946299076080322
60th percentile: 3.1658814907073975
70th percentile: 3.6371330738067624
80th percentile: 4.286248207092285
90th percentile: 5.113226890563965
95th percentile: 5.526716232299805
99th percentile: 5.857507705688477
mean time: 3.2016796588897707
Pipeline stage StressChecker completed in 16.57s
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 0.03s
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-dpo_4375_v1 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-dpo_4375_v1 status is now inactive due to auto deactivation removed underperforming models

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