submission_id: cgato-l3-thespice-8b-dpo_7965_v3
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': "<|im_start|>system\n{bot_name}'s Persona: {memory}\n", 'prompt_template': '***\n{prompt}\n***<|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: 2024-06-02T05:56:21+00:00
model_name: cgato-l3-thespice-8b-dpo_7965_v3
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-DPO
num_battles: 8893
num_wins: 4791
celo_rating: 1219.2
safety_score: 0.72
propriety_score: 0.6111111111111112
propriety_total_count: 180.0
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_v3
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: 2024-06-01
win_ratio: 0.5387383335207466
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer
Waiting for job on cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer to finish
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: ║ /___/ ║
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cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: ║ Version: 0.8.14 ║
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: ║ https://mk1.ai ║
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cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: ║ Chai Research Corp. ║
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cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-dpo-7965-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-7965-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: Downloaded to shared memory in 18.359s
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 82.25it/s] Loading 0: 64%|██████▍ | 187/291 [00:01<00:01, 96.59it/s] Loading 0: 99%|█████████▊| 287/291 [00:02<00:00, 136.60it/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-7965-v3-mkmlizer: quantized model in 23.822s
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: Processed model cgato/L3-TheSpice-8b-DPO-v3.2-e14.2 in 44.804s
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-7965-v3
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-7965-v3/config.json
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-7965-v3/special_tokens_map.json
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-7965-v3/tokenizer_config.json
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-7965-v3/tokenizer.json
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-7965-v3/flywheel_model.0.safetensors
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-dpo-7965-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-7965-v3-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-7965-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-7965-v3-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-7965-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-7965-v3-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-7965-v3-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-v3-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: Saving duration: 0.395s
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.396s
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-7965-v3_reward
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-7965-v3_reward/config.json
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-7965-v3_reward/tokenizer_config.json
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-7965-v3_reward/special_tokens_map.json
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-7965-v3_reward/merges.txt
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-7965-v3_reward/vocab.json
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-7965-v3_reward/tokenizer.json
cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-7965-v3_reward/reward.tensors
Job cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer completed after 73.71s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-dpo-7965-v3-mkmlizer
Pipeline stage MKMLizer completed in 74.05s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-dpo-7965-v3
Waiting for inference service cgato-l3-thespice-8b-dpo-7965-v3 to be ready
Inference service cgato-l3-thespice-8b-dpo-7965-v3 ready after 40.20931553840637s
Pipeline stage ISVCDeployer completed in 45.75s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3720147609710693s
Received healthy response to inference request in 1.3358886241912842s
Received healthy response to inference request in 5.16814398765564s
Received healthy response to inference request in 1.3305785655975342s
Received healthy response to inference request in 1.3265082836151123s
5 requests
0 failed requests
5th percentile: 1.3273223400115968
10th percentile: 1.328136396408081
20th percentile: 1.3297645092010497
30th percentile: 1.3316405773162843
40th percentile: 1.3337646007537842
50th percentile: 1.3358886241912842
60th percentile: 1.750339078903198
70th percentile: 2.164789533615112
80th percentile: 2.931240606307984
90th percentile: 4.049692296981812
95th percentile: 4.608918142318725
99th percentile: 5.056298818588257
mean time: 2.3066268444061278
Pipeline stage StressChecker completed in 12.13s
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_v3 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-dpo_7965_v3 status is now inactive due to auto deactivation removed underperforming models

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