submission_id: cgato-l3-thespice-8b-v2-3_v1
developer_uid: c.gato
status: inactive
model_repo: cgato/L3-TheSpice-8b-v2.3
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, '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': "{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': False}
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': False}
timestamp: 2024-04-30T00:34:49+00:00
model_name: cgato-l3-thespice-8b-v2-3_v1
model_eval_status: success
double_thumbs_up: 81
thumbs_up: 125
thumbs_down: 56
num_battles: 5930
num_wins: 3287
celo_rating: 1195.27
entertaining: 7.2
stay_in_character: 8.54
user_preference: 7.24
safety_score: 0.85
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cgato-l3-thespice-8b-v2-3_v1
double_thumbs_up_ratio: 0.30916030534351147
feedback_count: 262
ineligible_reason: None
language_model: cgato/L3-TheSpice-8b-v2.3
model_score: 7.659999999999999
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.4770992366412214
thumbs_down_ratio: 0.21374045801526717
thumbs_up_ratio: 0.7862595419847328
us_pacific_date: 2024-04-29
win_ratio: 0.5543001686340641
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v2-3-v1-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v2-3-v1-mkmlizer to finish
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-v2-3-v1-mkmlizer: ║ ║
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: ║ Version: 0.8.10 ║
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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cgato-l3-thespice-8b-v2-3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v2-3-v1-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-v2-3-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: Downloaded to shared memory in 33.750s
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 47%|████▋ | 138/291 [00:01<00:01, 136.88it/s] Loading 0: 97%|█████████▋| 283/291 [00:02<00:00, 141.53it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: quantized model in 17.385s
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: Processed model cgato/L3-TheSpice-8b-v2.3 in 52.208s
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v2-3-v1
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v2-3-v1/tokenizer.json
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v2-3-v1/special_tokens_map.json
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v2-3-v1/tokenizer_config.json
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v2-3-v1/config.json
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-v2-3-v1/flywheel_model.0.safetensors
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v2-3-v1-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-v2-3-v1-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v2-3-v1-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-v2-3-v1-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v2-3-v1-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-v2-3-v1-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v2-3-v1-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-v2-3-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: Saving duration: 0.250s
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.170s
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v2-3-v1_reward
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v2-3-v1_reward/config.json
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v2-3-v1_reward/tokenizer_config.json
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v2-3-v1_reward/special_tokens_map.json
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v2-3-v1_reward/merges.txt
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v2-3-v1_reward/vocab.json
cgato-l3-thespice-8b-v2-3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v2-3-v1_reward/tokenizer.json
Job cgato-l3-thespice-8b-v2-3-v1-mkmlizer completed after 83.33s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v2-3-v1-mkmlizer
Pipeline stage MKMLizer completed in 86.17s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v2-3-v1
Waiting for inference service cgato-l3-thespice-8b-v2-3-v1 to be ready
Inference service cgato-l3-thespice-8b-v2-3-v1 ready after 30.179302215576172s
Pipeline stage ISVCDeployer completed in 37.29s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0787789821624756s
Received healthy response to inference request in 1.2791545391082764s
Received healthy response to inference request in 1.2787282466888428s
Received healthy response to inference request in 1.280599594116211s
Received healthy response to inference request in 1.2850215435028076s
5 requests
0 failed requests
5th percentile: 1.2788135051727294
10th percentile: 1.2788987636566163
20th percentile: 1.2790692806243897
30th percentile: 1.2794435501098633
40th percentile: 1.280021572113037
50th percentile: 1.280599594116211
60th percentile: 1.2823683738708496
70th percentile: 1.2841371536254882
80th percentile: 1.4437730312347414
90th percentile: 1.7612760066986084
95th percentile: 1.9200274944305418
99th percentile: 2.047028684616089
mean time: 1.4404565811157226
Pipeline stage StressChecker completed in 7.84s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
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-v2-3_v1 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-v2-3_v1 status is now inactive due to auto deactivation removed underperforming models

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