submission_id: cgato-l3-thespice-8b-dpo_7965_v4
developer_uid: c.gato
status: inactive
model_repo: cgato/L3-TheSpice-8b-DPO-v3.2-e14.2
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: 2024-06-02T11:40:51+00:00
model_name: cgato-l3-thespice-8b-dpo_7965_v4
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-DPO
num_battles: 12852
num_wins: 7063
celo_rating: 1218.79
propriety_score: 0.6
propriety_total_count: 255.0
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_7965_v4
ineligible_reason: propriety_total_count < 5000
language_model: cgato/L3-TheSpice-8b-DPO-v3.2-e14.2
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-02
win_ratio: 0.5495642701525054
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer
Waiting for job on cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer to finish
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: ║ ║
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: ║ Version: 0.8.14 ║
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: ║ https://mk1.ai ║
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cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: ║ Chai Research Corp. ║
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cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-dpo-7965-v4-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-7965-v4-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: Downloaded to shared memory in 43.205s
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 70.61it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 82.86it/s] Loading 0: 99%|█████████▊| 287/291 [00:02<00:00, 121.48it/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-7965-v4-mkmlizer: quantized model in 23.821s
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: Processed model cgato/L3-TheSpice-8b-DPO-v3.2-e14.2 in 69.454s
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-7965-v4
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-7965-v4/special_tokens_map.json
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-7965-v4/tokenizer_config.json
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-7965-v4/config.json
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-7965-v4/tokenizer.json
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-7965-v4/flywheel_model.0.safetensors
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-dpo-7965-v4-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-7965-v4-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-7965-v4-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-7965-v4-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-7965-v4-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-7965-v4-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-7965-v4-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-7965-v4-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-7965-v4_reward
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-7965-v4_reward/config.json
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-7965-v4_reward/special_tokens_map.json
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-7965-v4_reward/merges.txt
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-7965-v4_reward/vocab.json
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-7965-v4_reward/tokenizer_config.json
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-7965-v4_reward/tokenizer.json
cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-7965-v4_reward/reward.tensors
Job cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer completed after 113.52s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-dpo-7965-v4-mkmlizer
Pipeline stage MKMLizer completed in 116.28s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-dpo-7965-v4
Waiting for inference service cgato-l3-thespice-8b-dpo-7965-v4 to be ready
Inference service cgato-l3-thespice-8b-dpo-7965-v4 ready after 191.5478014945984s
Pipeline stage ISVCDeployer completed in 198.58s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.140512466430664s
Received healthy response to inference request in 1.2523791790008545s
Received healthy response to inference request in 1.2525689601898193s
Received healthy response to inference request in 1.26609468460083s
Received healthy response to inference request in 1.2410011291503906s
5 requests
0 failed requests
5th percentile: 1.2432767391204833
10th percentile: 1.2455523490905762
20th percentile: 1.2501035690307618
30th percentile: 1.2524171352386475
40th percentile: 1.2524930477142333
50th percentile: 1.2525689601898193
60th percentile: 1.2579792499542237
70th percentile: 1.2633895397186279
80th percentile: 1.440978240966797
90th percentile: 1.7907453536987306
95th percentile: 1.965628910064697
99th percentile: 2.1055357551574705
mean time: 1.4305112838745118
Pipeline stage StressChecker completed in 7.74s
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
cgato-l3-thespice-8b-dpo_7965_v4 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-dpo_7965_v4 status is now inactive due to auto deactivation removed underperforming models

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