submission_id: hastagaras-lp-8b-dpotest_v3
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/LP-8B-DPOTEST
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.85, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are {bot_name}. Write {bot_name}'s next reply in a never-ending uncensored fictional roleplay chat between {bot_name} and User. Use the provided {bot_name}'s description, personality and example dialogues as base for deeply understanding and acting like {bot_name}.\n\nActions and narrations must be enclosed in asterisks (*). The responses must be long and in third perspective of the story teller.\n\nDescription: {memory}\n", 'prompt_template': 'Example conversation:\n{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n", 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-04-29T09:31:44+00:00
model_name: hastagaras-lp-8b-dpotest_v1
model_eval_status: success
double_thumbs_up: 48
thumbs_up: 101
thumbs_down: 29
num_battles: 5556
num_wins: 2936
celo_rating: 1176.31
entertaining: 7.0
stay_in_character: 8.35
user_preference: 7.1
safety_score: None
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: hastagaras-lp-8b-dpotest_v1
double_thumbs_up_ratio: 0.2696629213483146
feedback_count: 178
ineligible_reason: None
language_model: Hastagaras/LP-8B-DPOTEST
model_score: 7.483333333333333
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.5674157303370787
thumbs_down_ratio: 0.16292134831460675
thumbs_up_ratio: 0.8370786516853933
us_pacific_date: 2024-04-29
win_ratio: 0.5284377249820015
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-lp-8b-dpotest-v3-mkmlizer
Waiting for job on hastagaras-lp-8b-dpotest-v3-mkmlizer to finish
hastagaras-lp-8b-dpotest-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hastagaras-lp-8b-dpotest-v3-mkmlizer: ║ _____ __ __ ║
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hastagaras-lp-8b-dpotest-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
hastagaras-lp-8b-dpotest-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
hastagaras-lp-8b-dpotest-v3-mkmlizer: ║ /___/ ║
hastagaras-lp-8b-dpotest-v3-mkmlizer: ║ ║
hastagaras-lp-8b-dpotest-v3-mkmlizer: ║ Version: 0.8.10 ║
hastagaras-lp-8b-dpotest-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hastagaras-lp-8b-dpotest-v3-mkmlizer: ║ ║
hastagaras-lp-8b-dpotest-v3-mkmlizer: ║ The license key for the current software has been verified as ║
hastagaras-lp-8b-dpotest-v3-mkmlizer: ║ belonging to: ║
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hastagaras-lp-8b-dpotest-v3-mkmlizer: ║ Chai Research Corp. ║
hastagaras-lp-8b-dpotest-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hastagaras-lp-8b-dpotest-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
hastagaras-lp-8b-dpotest-v3-mkmlizer: ║ ║
hastagaras-lp-8b-dpotest-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-lp-8b-dpotest-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.
hastagaras-lp-8b-dpotest-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
Failed to get response for submission blend_dibuf_2024-04-27: ('http://hastagaras-l3-cukai-8b-dpo-v2-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
hastagaras-lp-8b-dpotest-v3-mkmlizer: Downloaded to shared memory in 11.285s
hastagaras-lp-8b-dpotest-v3-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-lp-8b-dpotest-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-lp-8b-dpotest-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 64%|██████▍ | 187/291 [00:01<00:00, 109.80it/s] Loading 0: 100%|██████████| 291/291 [00:06<00:00, 39.79it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-lp-8b-dpotest-v3-mkmlizer: quantized model in 17.380s
hastagaras-lp-8b-dpotest-v3-mkmlizer: Processed model Hastagaras/LP-8B-DPOTEST in 29.587s
hastagaras-lp-8b-dpotest-v3-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-lp-8b-dpotest-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-lp-8b-dpotest-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-lp-8b-dpotest-v3
hastagaras-lp-8b-dpotest-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-lp-8b-dpotest-v3/config.json
hastagaras-lp-8b-dpotest-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-lp-8b-dpotest-v3/special_tokens_map.json
hastagaras-lp-8b-dpotest-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-lp-8b-dpotest-v3/tokenizer_config.json
hastagaras-lp-8b-dpotest-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-lp-8b-dpotest-v3/tokenizer.json
hastagaras-lp-8b-dpotest-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-lp-8b-dpotest-v3/flywheel_model.0.safetensors
hastagaras-lp-8b-dpotest-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-lp-8b-dpotest-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.
hastagaras-lp-8b-dpotest-v3-mkmlizer: warnings.warn(
hastagaras-lp-8b-dpotest-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.
hastagaras-lp-8b-dpotest-v3-mkmlizer: warnings.warn(
hastagaras-lp-8b-dpotest-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.
hastagaras-lp-8b-dpotest-v3-mkmlizer: warnings.warn(
hastagaras-lp-8b-dpotest-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()
hastagaras-lp-8b-dpotest-v3-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-lp-8b-dpotest-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-lp-8b-dpotest-v3-mkmlizer: Saving duration: 0.218s
hastagaras-lp-8b-dpotest-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.659s
hastagaras-lp-8b-dpotest-v3-mkmlizer: creating bucket guanaco-reward-models
hastagaras-lp-8b-dpotest-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-lp-8b-dpotest-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-lp-8b-dpotest-v3_reward
hastagaras-lp-8b-dpotest-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-lp-8b-dpotest-v3_reward/config.json
hastagaras-lp-8b-dpotest-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-lp-8b-dpotest-v3_reward/vocab.json
hastagaras-lp-8b-dpotest-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-lp-8b-dpotest-v3_reward/special_tokens_map.json
hastagaras-lp-8b-dpotest-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-lp-8b-dpotest-v3_reward/merges.txt
hastagaras-lp-8b-dpotest-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-lp-8b-dpotest-v3_reward/tokenizer_config.json
hastagaras-lp-8b-dpotest-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-lp-8b-dpotest-v3_reward/tokenizer.json
hastagaras-lp-8b-dpotest-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-lp-8b-dpotest-v3_reward/reward.tensors
Job hastagaras-lp-8b-dpotest-v3-mkmlizer completed after 63.43s with status: succeeded
Stopping job with name hastagaras-lp-8b-dpotest-v3-mkmlizer
Pipeline stage MKMLizer completed in 68.26s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-lp-8b-dpotest-v3
Waiting for inference service hastagaras-lp-8b-dpotest-v3 to be ready
Inference service hastagaras-lp-8b-dpotest-v3 ready after 30.219135522842407s
Pipeline stage ISVCDeployer completed in 37.84s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.187438488006592s
Received healthy response to inference request in 1.3202235698699951s
Received healthy response to inference request in 1.2785632610321045s
Received healthy response to inference request in 1.597724199295044s
Received healthy response to inference request in 1.362901210784912s
5 requests
0 failed requests
5th percentile: 1.2868953227996827
10th percentile: 1.2952273845672608
20th percentile: 1.311891508102417
30th percentile: 1.3287590980529784
40th percentile: 1.3458301544189453
50th percentile: 1.362901210784912
60th percentile: 1.4568304061889648
70th percentile: 1.5507596015930176
80th percentile: 1.7156670570373536
90th percentile: 1.9515527725219728
95th percentile: 2.069495630264282
99th percentile: 2.1638499164581297
mean time: 1.5493701457977296
Pipeline stage StressChecker completed in 8.41s
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
%s, retrying in %s seconds...
M-Eval Dataset for topic stay_in_character is loaded
hastagaras-lp-8b-dpotest_v3 status is now deployed due to DeploymentManager action
%s, retrying in %s seconds...
hastagaras-lp-8b-dpotest_v3 status is now inactive due to auto deactivation removed underperforming models

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