submission_id: cgato-l3-thespice-8b-dpo_3300_v3
developer_uid: c.gato
status: inactive
model_repo: cgato/L3-TheSpice-8b-DPO-v3.2-e13.3
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'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{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': 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: 2024-05-31T11:14:02+00:00
model_name: cgato-l3-thespice-8b-dpo_3300_v3
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-DPO
num_battles: 9178
num_wins: 4859
celo_rating: 1216.3
safety_score: 0.81
propriety_score: 0.3333333333333333
propriety_total_count: 6.0
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_3300_v3
ineligible_reason: propriety_total_count < 5000
language_model: cgato/L3-TheSpice-8b-DPO-v3.2-e13.3
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-31
win_ratio: 0.5294181738940946
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer
Waiting for job on cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer to finish
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: ║ Version: 0.8.14 ║
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: ║ https://mk1.ai ║
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cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: ║ Chai Research Corp. ║
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cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-dpo-3300-v3-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-3300-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: Downloaded to shared memory in 15.960s
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 75.33it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 90.19it/s] Loading 0: 99%|█████████▊| 287/291 [00:02<00:00, 128.42it/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-3300-v3-mkmlizer: quantized model in 22.634s
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: Processed model cgato/L3-TheSpice-8b-DPO-v3.2-e13.3 in 40.159s
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3300-v3
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3300-v3/tokenizer_config.json
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3300-v3/special_tokens_map.json
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3300-v3/config.json
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3300-v3/tokenizer.json
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-3300-v3/flywheel_model.0.safetensors
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-dpo-3300-v3-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-3300-v3-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-3300-v3-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-3300-v3-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-3300-v3-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-3300-v3-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: Saving duration: 0.307s
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.711s
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3300-v3_reward
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3300-v3_reward/merges.txt
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3300-v3_reward/vocab.json
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3300-v3_reward/tokenizer_config.json
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3300-v3_reward/config.json
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3300-v3_reward/special_tokens_map.json
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3300-v3_reward/tokenizer.json
cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-3300-v3_reward/reward.tensors
Job cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer completed after 62.7s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-dpo-3300-v3-mkmlizer
Pipeline stage MKMLizer completed in 63.41s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-dpo-3300-v3
Waiting for inference service cgato-l3-thespice-8b-dpo-3300-v3 to be ready
Inference service cgato-l3-thespice-8b-dpo-3300-v3 ready after 40.22352623939514s
Pipeline stage ISVCDeployer completed in 46.03s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.280019998550415s
Received healthy response to inference request in 1.3402099609375s
Received healthy response to inference request in 1.3155772686004639s
Received healthy response to inference request in 1.2949507236480713s
Received healthy response to inference request in 1.2912976741790771s
5 requests
0 failed requests
5th percentile: 1.292028284072876
10th percentile: 1.2927588939666748
20th percentile: 1.2942201137542724
30th percentile: 1.2990760326385498
40th percentile: 1.307326650619507
50th percentile: 1.3155772686004639
60th percentile: 1.3254303455352783
70th percentile: 1.3352834224700927
80th percentile: 1.5281719684600832
90th percentile: 1.9040959835052491
95th percentile: 2.092057991027832
99th percentile: 2.2424275970458982
mean time: 1.5044111251831054
Pipeline stage StressChecker completed in 8.73s
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_3300_v3 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-dpo_3300_v3 status is now inactive due to auto deactivation removed underperforming models

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