submission_id: cgato-l3-thespice-8b-dpo_3778_v2
developer_uid: c.gato
status: inactive
model_repo: cgato/L3-TheSpice-8b-DPO-v3.2-e0.2
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 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': "<|im_start|>system\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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: 2024-05-09T13:35:24+00:00
model_name: cgato-l3-thespice-8b-dpo_3778_v2
model_eval_status: success
double_thumbs_up: 185
thumbs_up: 261
thumbs_down: 115
num_battles: 16539
num_wins: 8898
celo_rating: 1198.16
entertaining: 6.48
stay_in_character: 8.33
user_preference: 6.6
safety_score: 0.8
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_3778_v2
double_thumbs_up_ratio: 0.32976827094474154
feedback_count: 561
ineligible_reason: None
language_model: cgato/L3-TheSpice-8b-DPO-v3.2-e0.2
model_score: 7.136666666666667
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.46524064171123
thumbs_down_ratio: 0.20499108734402852
thumbs_up_ratio: 0.7950089126559715
us_pacific_date: 2024-05-09
win_ratio: 0.5380010883366588
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer
Waiting for job on cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer to finish
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ║ _____ __ __ ║
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ║ ║
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ║ Version: 0.8.10 ║
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ║ ║
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cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ║ belonging to: ║
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ║ ║
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ║ ║
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-dpo-3778-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.
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: Downloaded to shared memory in 15.802s
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 64%|██████▍ | 187/291 [00:01<00:01, 101.49it/s] Loading 0: 100%|██████████| 291/291 [00:07<00:00, 36.02it/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-3778-v2-mkmlizer: quantized model in 22.737s
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: Processed model cgato/L3-TheSpice-8b-DPO-v3.2-e0.2 in 41.046s
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3778-v2
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3778-v2/config.json
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3778-v2/special_tokens_map.json
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3778-v2/tokenizer_config.json
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3778-v2/tokenizer.json
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3778-v2/flywheel_model.0.safetensors
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-dpo-3778-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.
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-3778-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()
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: Saving duration: 0.397s
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.330s
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3778-v2_reward
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3778-v2_reward/config.json
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3778-v2_reward/tokenizer_config.json
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3778-v2_reward/special_tokens_map.json
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3778-v2_reward/vocab.json
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3778-v2_reward/merges.txt
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3778-v2_reward/tokenizer.json
cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3778-v2_reward/reward.tensors
Job cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer completed after 62.86s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-dpo-3778-v2-mkmlizer
Pipeline stage MKMLizer completed in 65.69s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-dpo-3778-v2
Waiting for inference service cgato-l3-thespice-8b-dpo-3778-v2 to be ready
Inference service cgato-l3-thespice-8b-dpo-3778-v2 ready after 40.30046105384827s
Pipeline stage ISVCDeployer completed in 47.42s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1385061740875244s
Received healthy response to inference request in 1.284759521484375s
Received healthy response to inference request in 1.2953741550445557s
Received healthy response to inference request in 1.2829985618591309s
Received healthy response to inference request in 1.2882626056671143s
5 requests
0 failed requests
5th percentile: 1.2833507537841797
10th percentile: 1.2837029457092286
20th percentile: 1.2844073295593261
30th percentile: 1.2854601383209228
40th percentile: 1.2868613719940185
50th percentile: 1.2882626056671143
60th percentile: 1.2911072254180909
70th percentile: 1.2939518451690675
80th percentile: 1.4640005588531495
90th percentile: 1.801253366470337
95th percentile: 1.9698797702789306
99th percentile: 2.1047808933258056
mean time: 1.45798020362854
Pipeline stage StressChecker completed in 7.92s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
Running M-Eval for topic stay_in_character
cgato-l3-thespice-8b-dpo_3778_v2 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-dpo_3778_v2 status is now inactive due to auto deactivation removed underperforming models

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