submission_id: cgato-l3-thespice-8b-dpo_3348_v2
developer_uid: c.gato
status: inactive
model_repo: cgato/L3-TheSpice-8b-DPO-v3.2-e10.1
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: 2024-05-26T19:24:32+00:00
model_name: cgato-l3-thespice-8b-dpo_3348_v2
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-DPO
num_battles: 9420
num_wins: 5115
celo_rating: 1206.47
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_3348_v2
ineligible_reason: propriety_total_count < 5000
language_model: cgato/L3-TheSpice-8b-DPO-v3.2-e10.1
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-26
win_ratio: 0.5429936305732485
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer
Waiting for job on cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer to finish
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: ║ /___/ ║
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cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: ║ Version: 0.8.14 ║
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: ║ https://mk1.ai ║
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cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: ║ Chai Research Corp. ║
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cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-dpo-3348-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-3348-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: Downloaded to shared memory in 21.681s
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:00<00:02, 97.81it/s] Loading 0: 64%|██████▍ | 187/291 [00:01<00:00, 111.11it/s] Loading 0: 99%|█████████▊| 287/291 [00:02<00:00, 142.51it/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-3348-v2-mkmlizer: quantized model in 17.145s
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: Processed model cgato/L3-TheSpice-8b-DPO-v3.2-e10.1 in 39.777s
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3348-v2
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3348-v2/special_tokens_map.json
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3348-v2/tokenizer_config.json
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3348-v2/config.json
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3348-v2/tokenizer.json
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3348-v2/flywheel_model.0.safetensors
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-dpo-3348-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-3348-v2-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-3348-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-3348-v2-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-3348-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-3348-v2-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-3348-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-3348-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: Saving duration: 0.216s
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.162s
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3348-v2_reward
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3348-v2_reward/vocab.json
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3348-v2_reward/special_tokens_map.json
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3348-v2_reward/config.json
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3348-v2_reward/tokenizer_config.json
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3348-v2_reward/merges.txt
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3348-v2_reward/tokenizer.json
cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3348-v2_reward/reward.tensors
Job cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer completed after 62.65s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-dpo-3348-v2-mkmlizer
Pipeline stage MKMLizer completed in 67.01s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-dpo-3348-v2
Waiting for inference service cgato-l3-thespice-8b-dpo-3348-v2 to be ready
Inference service cgato-l3-thespice-8b-dpo-3348-v2 ready after 40.26869034767151s
Pipeline stage ISVCDeployer completed in 47.86s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.127016305923462s
Received healthy response to inference request in 1.2756760120391846s
Received healthy response to inference request in 1.239809274673462s
Received healthy response to inference request in 1.2777063846588135s
Received healthy response to inference request in 1.225374698638916s
5 requests
0 failed requests
5th percentile: 1.228261613845825
10th percentile: 1.2311485290527344
20th percentile: 1.2369223594665528
30th percentile: 1.2469826221466065
40th percentile: 1.2613293170928954
50th percentile: 1.2756760120391846
60th percentile: 1.2764881610870362
70th percentile: 1.2773003101348877
80th percentile: 1.4475683689117433
90th percentile: 1.7872923374176026
95th percentile: 1.957154321670532
99th percentile: 2.093043909072876
mean time: 1.4291165351867676
Pipeline stage StressChecker completed in 7.77s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.06s
cgato-l3-thespice-8b-dpo_3348_v2 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-dpo_3348_v2 status is now inactive due to auto deactivation removed underperforming models

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