submission_id: cgato-l3-thespice-8b-dpo_8098_v2
developer_uid: c.gato
status: inactive
model_repo: cgato/L3-TheSpice-8b-DPO-v3.2-e18.2
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, '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: 2024-06-05T10:38:49+00:00
model_name: cgato-l3-thespice-8b-dpo_8098_v2
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-DPO
num_battles: 12706
num_wins: 6941
celo_rating: 1211.77
safety_score: 0.87
propriety_score: 0.6356968215158925
propriety_total_count: 409.0
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_8098_v2
ineligible_reason: propriety_total_count < 5000
language_model: cgato/L3-TheSpice-8b-DPO-v3.2-e18.2
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-05
win_ratio: 0.5462773492838029
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer
Waiting for job on cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer to finish
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: ║ /___/ ║
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cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: ║ Version: 0.8.14 ║
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: ║ https://mk1.ai ║
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cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: ║ Chai Research Corp. ║
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cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-dpo-8098-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-8098-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: Downloaded to shared memory in 17.722s
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 72.70it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 85.24it/s] Loading 0: 99%|█████████▊| 287/291 [00:02<00:00, 123.61it/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-8098-v2-mkmlizer: quantized model in 19.268s
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: Processed model cgato/L3-TheSpice-8b-DPO-v3.2-e18.2 in 38.195s
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8098-v2
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8098-v2/config.json
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8098-v2/special_tokens_map.json
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8098-v2/tokenizer_config.json
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8098-v2/tokenizer.json
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-8098-v2/flywheel_model.0.safetensors
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-dpo-8098-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-8098-v2-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-8098-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.
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-8098-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.
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-8098-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-8098-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8098-v2_reward
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8098-v2_reward/config.json
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8098-v2_reward/tokenizer_config.json
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8098-v2_reward/merges.txt
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8098-v2_reward/special_tokens_map.json
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8098-v2_reward/vocab.json
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8098-v2_reward/tokenizer.json
cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-8098-v2_reward/reward.tensors
Job cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer completed after 62.54s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-dpo-8098-v2-mkmlizer
Pipeline stage MKMLizer completed in 63.33s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-dpo-8098-v2
Waiting for inference service cgato-l3-thespice-8b-dpo-8098-v2 to be ready
Tearing down inference service cgato-l3-thespice-8b-dpo-8098-v2
%s, retrying in %s seconds...
Creating inference service cgato-l3-thespice-8b-dpo-8098-v2
Waiting for inference service cgato-l3-thespice-8b-dpo-8098-v2 to be ready
Tearing down inference service cgato-l3-thespice-8b-dpo-8098-v2
%s, retrying in %s seconds...
Creating inference service cgato-l3-thespice-8b-dpo-8098-v2
Waiting for inference service cgato-l3-thespice-8b-dpo-8098-v2 to be ready
Inference service cgato-l3-thespice-8b-dpo-8098-v2 ready after 40.39149498939514s
Pipeline stage ISVCDeployer completed in 77.59s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.02854323387146s
Received healthy response to inference request in 1.2201180458068848s
Received healthy response to inference request in 1.261155366897583s
Received healthy response to inference request in 1.2517988681793213s
Received healthy response to inference request in 1.2660250663757324s
5 requests
0 failed requests
5th percentile: 1.226454210281372
10th percentile: 1.2327903747558593
20th percentile: 1.245462703704834
30th percentile: 1.2536701679229736
40th percentile: 1.2574127674102784
50th percentile: 1.261155366897583
60th percentile: 1.2631032466888428
70th percentile: 1.2650511264801025
80th percentile: 1.418528699874878
90th percentile: 1.7235359668731691
95th percentile: 1.8760396003723143
99th percentile: 1.9980425071716308
mean time: 1.4055281162261963
Pipeline stage StressChecker completed in 7.69s
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_8098_v2 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-dpo_8098_v2 status is now inactive due to auto deactivation removed underperforming models

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