submission_id: hastagaras-sciemet-8b-l3_4340_v2
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/Sciemet-8B-L3-MK.II
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 45, '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\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{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####\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: 2024-06-16T19:22:47+00:00
model_name: t
model_eval_status: success
model_group: Hastagaras/Sciemet-8B-L3
num_battles: 25733
num_wins: 14031
celo_rating: 1215.4
propriety_score: 0.6967046696860847
propriety_total_count: 12806.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: t
ineligible_reason: None
language_model: Hastagaras/Sciemet-8B-L3-MK.II
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-16
win_ratio: 0.5452531768546225
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-sciemet-8b-l3-4340-v2-mkmlizer
Waiting for job on hastagaras-sciemet-8b-l3-4340-v2-mkmlizer to finish
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: ║ ║
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: ║ Version: 0.8.14 ║
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: ║ https://mk1.ai ║
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hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: ║ Chai Research Corp. ║
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: ║ ║
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-sciemet-8b-l3-4340-v2-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-sciemet-8b-l3-4340-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: Downloaded to shared memory in 44.340s
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 3%|▎ | 8/291 [00:00<00:03, 78.69it/s] Loading 0: 6%|▌ | 18/291 [00:00<00:02, 91.09it/s] Loading 0: 10%|█ | 30/291 [00:00<00:02, 96.48it/s] Loading 0: 14%|█▎ | 40/291 [00:00<00:02, 94.26it/s] Loading 0: 17%|█▋ | 50/291 [00:00<00:02, 94.74it/s] Loading 0: 22%|██▏ | 63/291 [00:00<00:02, 104.39it/s] Loading 0: 26%|██▌ | 75/291 [00:00<00:02, 104.08it/s] Loading 0: 30%|██▉ | 86/291 [00:01<00:03, 54.05it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 65.38it/s] Loading 0: 37%|███▋ | 108/291 [00:01<00:02, 72.31it/s] Loading 0: 41%|████ | 120/291 [00:01<00:02, 79.28it/s] Loading 0: 45%|████▍ | 130/291 [00:01<00:01, 82.87it/s] Loading 0: 48%|████▊ | 140/291 [00:01<00:01, 87.06it/s] Loading 0: 53%|█████▎ | 154/291 [00:01<00:01, 100.49it/s] Loading 0: 57%|█████▋ | 165/291 [00:01<00:01, 99.61it/s] Loading 0: 62%|██████▏ | 179/291 [00:02<00:01, 106.37it/s] Loading 0: 66%|██████▌ | 191/291 [00:02<00:01, 64.92it/s] Loading 0: 69%|██████▉ | 201/291 [00:02<00:01, 69.22it/s] Loading 0: 73%|███████▎ | 211/291 [00:02<00:01, 72.53it/s] Loading 0: 76%|███████▌ | 221/291 [00:02<00:00, 76.56it/s] Loading 0: 81%|████████ | 235/291 [00:02<00:00, 91.39it/s] Loading 0: 85%|████████▍ | 246/291 [00:02<00:00, 92.10it/s] Loading 0: 88%|████████▊ | 257/291 [00:03<00:00, 87.31it/s] Loading 0: 92%|█████████▏| 269/291 [00:03<00:00, 94.92it/s] Loading 0: 96%|█████████▌| 280/291 [00:03<00:00, 98.70it/s] Loading 0: 100%|██████████| 291/291 [00:09<00:00, 6.02it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: quantized model in 25.329s
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: Processed model Hastagaras/Sciemet-8B-L3-MK.II in 72.572s
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-sciemet-8b-l3-4340-v2
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-sciemet-8b-l3-4340-v2/config.json
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-sciemet-8b-l3-4340-v2/special_tokens_map.json
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-sciemet-8b-l3-4340-v2/tokenizer_config.json
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-sciemet-8b-l3-4340-v2/tokenizer.json
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-sciemet-8b-l3-4340-v2/flywheel_model.0.safetensors
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-sciemet-8b-l3-4340-v2-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-sciemet-8b-l3-4340-v2-mkmlizer: warnings.warn(
hastagaras-sciemet-8b-l3-4340-v2-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-sciemet-8b-l3-4340-v2-mkmlizer: warnings.warn(
hastagaras-sciemet-8b-l3-4340-v2-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-sciemet-8b-l3-4340-v2-mkmlizer: warnings.warn(
hastagaras-sciemet-8b-l3-4340-v2-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-sciemet-8b-l3-4340-v2-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: Saving duration: 0.444s
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 12.182s
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: creating bucket guanaco-reward-models
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-sciemet-8b-l3-4340-v2_reward
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-sciemet-8b-l3-4340-v2_reward/config.json
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-sciemet-8b-l3-4340-v2_reward/special_tokens_map.json
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-sciemet-8b-l3-4340-v2_reward/tokenizer_config.json
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-sciemet-8b-l3-4340-v2_reward/merges.txt
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-sciemet-8b-l3-4340-v2_reward/vocab.json
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-sciemet-8b-l3-4340-v2_reward/tokenizer.json
hastagaras-sciemet-8b-l3-4340-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-sciemet-8b-l3-4340-v2_reward/reward.tensors
Job hastagaras-sciemet-8b-l3-4340-v2-mkmlizer completed after 113.47s with status: succeeded
Stopping job with name hastagaras-sciemet-8b-l3-4340-v2-mkmlizer
Pipeline stage MKMLizer completed in 117.03s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-sciemet-8b-l3-4340-v2
Waiting for inference service hastagaras-sciemet-8b-l3-4340-v2 to be ready
Inference service hastagaras-sciemet-8b-l3-4340-v2 ready after 30.243956804275513s
Pipeline stage ISVCDeployer completed in 37.59s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1241984367370605s
Received healthy response to inference request in 1.3697819709777832s
Received healthy response to inference request in 1.3326866626739502s
Received healthy response to inference request in 1.2728145122528076s
Received healthy response to inference request in 1.3608341217041016s
5 requests
0 failed requests
5th percentile: 1.2847889423370362
10th percentile: 1.2967633724212646
20th percentile: 1.3207122325897216
30th percentile: 1.3383161544799804
40th percentile: 1.349575138092041
50th percentile: 1.3608341217041016
60th percentile: 1.3644132614135742
70th percentile: 1.3679924011230469
80th percentile: 1.5206652641296388
90th percentile: 1.8224318504333497
95th percentile: 1.973315143585205
99th percentile: 2.0940217781066894
mean time: 1.4920631408691407
Pipeline stage StressChecker completed in 8.10s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
hastagaras-sciemet-8b-l3_4340_v2 status is now deployed due to DeploymentManager action
hastagaras-sciemet-8b-l3_4340_v2 status is now inactive due to auto deactivation removed underperforming models

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