submission_id: cgato-l3-thespice-8b-dpo_2839_v5
developer_uid: c.gato
status: torndown
model_repo: cgato/L3-TheSpice-8b-DPO-v3.2-e8.1
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.25, 'top_p': 1.0, 'min_p': 0.1, '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{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{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: 2024-05-23T02:54:42+00:00
model_name: cgato-l3-thespice-8b-dpo_2839_v5
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-DPO
num_battles: 20056
num_wins: 10687
celo_rating: 1194.23
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_2839_v5
ineligible_reason: propriety_total_count < 800
language_model: cgato/L3-TheSpice-8b-DPO-v3.2-e8.1
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-22
win_ratio: 0.5328579976067013
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer
Waiting for job on cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer to finish
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: ║ ║
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: ║ Version: 0.8.14 ║
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: ║ https://mk1.ai ║
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cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: ║ Chai Research Corp. ║
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cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-dpo-2839-v5-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-2839-v5-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: Downloaded to shared memory in 16.638s
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:03, 58.56it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 71.31it/s] Loading 0: 99%|█████████▊| 287/291 [00:03<00:00, 100.65it/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-2839-v5-mkmlizer: quantized model in 23.259s
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: Processed model cgato/L3-TheSpice-8b-DPO-v3.2-e8.1 in 41.075s
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-2839-v5
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-2839-v5/special_tokens_map.json
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-2839-v5/config.json
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-2839-v5/tokenizer_config.json
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-2839-v5/tokenizer.json
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-2839-v5/flywheel_model.0.safetensors
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-dpo-2839-v5-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-2839-v5-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-2839-v5-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-2839-v5-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-2839-v5-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-2839-v5-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-2839-v5-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-2839-v5-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: Saving duration: 0.291s
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.338s
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-2839-v5_reward
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-2839-v5_reward/config.json
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-2839-v5_reward/special_tokens_map.json
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-2839-v5_reward/vocab.json
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-2839-v5_reward/merges.txt
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-2839-v5_reward/tokenizer_config.json
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-2839-v5_reward/tokenizer.json
cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-2839-v5_reward/reward.tensors
Job cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer completed after 63.04s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-dpo-2839-v5-mkmlizer
Pipeline stage MKMLizer completed in 67.29s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-dpo-2839-v5
Waiting for inference service cgato-l3-thespice-8b-dpo-2839-v5 to be ready
Inference service cgato-l3-thespice-8b-dpo-2839-v5 ready after 30.175849437713623s
Pipeline stage ISVCDeployer completed in 37.95s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.168468475341797s
Received healthy response to inference request in 1.3360841274261475s
Received healthy response to inference request in 1.3328351974487305s
Received healthy response to inference request in 1.3100943565368652s
Received healthy response to inference request in 1.3045563697814941s
5 requests
0 failed requests
5th percentile: 1.3056639671325683
10th percentile: 1.3067715644836426
20th percentile: 1.308986759185791
30th percentile: 1.3146425247192384
40th percentile: 1.3237388610839844
50th percentile: 1.3328351974487305
60th percentile: 1.3341347694396972
70th percentile: 1.335434341430664
80th percentile: 1.5025609970092775
90th percentile: 1.8355147361755373
95th percentile: 2.0019916057586666
99th percentile: 2.135173101425171
mean time: 1.4904077053070068
Pipeline stage StressChecker completed in 8.08s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
Running M-Eval for topic stay_in_character
cgato-l3-thespice-8b-dpo_2839_v5 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-dpo_2839_v5 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-l3-thespice-8b-dpo_2839_v5
Running pipeline stage ISVCDeleter
Checking if service cgato-l3-thespice-8b-dpo-2839-v5 is running
Tearing down inference service cgato-l3-thespice-8b-dpo-2839-v5
Toredown service cgato-l3-thespice-8b-dpo-2839-v5
Pipeline stage ISVCDeleter completed in 5.06s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-dpo-2839-v5/config.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-dpo-2839-v5/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-dpo-2839-v5/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-dpo-2839-v5/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-dpo-2839-v5/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-dpo-2839-v5_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-dpo-2839-v5_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-dpo-2839-v5_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-dpo-2839-v5_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-dpo-2839-v5_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-dpo-2839-v5_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-dpo-2839-v5_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.51s
cgato-l3-thespice-8b-dpo_2839_v5 status is now torndown due to DeploymentManager action

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