submission_id: cgato-l3-thespice-8b-dpo_4355_v4
developer_uid: c.gato
status: inactive
model_repo: cgato/L3-TheSpice-8b-DPO-v3.2-e9.1
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': "<|im_start|>system\n{bot_name}'s Persona: {memory}\n", 'prompt_template': '***\n{prompt}\n***<|im_end|>\n', 'bot_template': '<|im_start|>{bot_name}\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>{bot_name}\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: 2024-05-24T00:50:06+00:00
model_name: cgato-l3-thespice-8b-dpo_4355_v4
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-DPO
num_battles: 15869
num_wins: 8400
celo_rating: 1198.11
safety_score: 0.95
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_4355_v4
ineligible_reason: propriety_total_count < 5000
language_model: cgato/L3-TheSpice-8b-DPO-v3.2-e9.1
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-23
win_ratio: 0.529333921482135
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer
Waiting for job on cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer to finish
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: ║ /___/ ║
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cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: ║ Version: 0.8.14 ║
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: ║ https://mk1.ai ║
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cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: ║ Chai Research Corp. ║
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cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-dpo-4355-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-4355-v4-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: Downloaded to shared memory in 18.021s
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 79.14it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 91.11it/s] Loading 0: 99%|█████████▊| 287/291 [00:02<00:00, 128.60it/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-4355-v4-mkmlizer: quantized model in 23.250s
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: Processed model cgato/L3-TheSpice-8b-DPO-v3.2-e9.1 in 43.882s
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-4355-v4/tokenizer.json
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-4355-v4/flywheel_model.0.safetensors
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-dpo-4355-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-4355-v4-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-4355-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-4355-v4-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-4355-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-4355-v4-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-4355-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-4355-v4-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: Saving duration: 0.406s
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.718s
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-4355-v4_reward
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-4355-v4_reward/config.json
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-4355-v4_reward/special_tokens_map.json
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-4355-v4_reward/tokenizer_config.json
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-4355-v4_reward/merges.txt
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-4355-v4_reward/vocab.json
cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-4355-v4_reward/tokenizer.json
Job cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer completed after 73.64s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-dpo-4355-v4-mkmlizer
Pipeline stage MKMLizer completed in 77.37s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-dpo-4355-v4
Waiting for inference service cgato-l3-thespice-8b-dpo-4355-v4 to be ready
Inference service cgato-l3-thespice-8b-dpo-4355-v4 ready after 30.17946481704712s
Pipeline stage ISVCDeployer completed in 37.28s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2116029262542725s
Received healthy response to inference request in 1.2804374694824219s
Received healthy response to inference request in 1.3373792171478271s
Received healthy response to inference request in 1.295713186264038s
Received healthy response to inference request in 1.3102641105651855s
5 requests
0 failed requests
5th percentile: 1.2834926128387452
10th percentile: 1.2865477561950684
20th percentile: 1.2926580429077148
30th percentile: 1.2986233711242676
40th percentile: 1.3044437408447265
50th percentile: 1.3102641105651855
60th percentile: 1.321110153198242
70th percentile: 1.3319561958312989
80th percentile: 1.5122239589691164
90th percentile: 1.8619134426116943
95th percentile: 2.0367581844329834
99th percentile: 2.1766339778900146
mean time: 1.487079381942749
Pipeline stage StressChecker completed in 8.17s
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_4355_v4 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-dpo_4355_v4 status is now inactive due to auto deactivation removed underperforming models

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