submission_id: meseca-20062024-c1-dpo-1e_v1
developer_uid: nguyenzzz
status: inactive
model_repo: meseca/20062024-c1-dpo-1e
reward_repo: Jellywibble/CHAI_alignment_reward_model
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 60, '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: 2024-06-27T15:51:26+00:00
model_name: meseca-20062024-c1-dpo-1e_v1
model_group: meseca/20062024-c1-dpo-1
num_battles: 15279
num_wins: 6010
celo_rating: 1104.66
propriety_score: 0.7774688906539582
propriety_total_count: 7554.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: meseca-20062024-c1-dpo-1e_v1
ineligible_reason: None
language_model: meseca/20062024-c1-dpo-1e
model_size: 8B
reward_model: Jellywibble/CHAI_alignment_reward_model
us_pacific_date: 2024-06-27
win_ratio: 0.39335035015380587
Resubmit model
Running pipeline stage MKMLizer
Starting job with name meseca-20062024-c1-dpo-1e-v1-mkmlizer
Waiting for job on meseca-20062024-c1-dpo-1e-v1-mkmlizer to finish
meseca-20062024-c1-dpo-1e-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
meseca-20062024-c1-dpo-1e-v1-mkmlizer: ║ _____ __ __ ║
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meseca-20062024-c1-dpo-1e-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
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meseca-20062024-c1-dpo-1e-v1-mkmlizer: ║ /___/ ║
meseca-20062024-c1-dpo-1e-v1-mkmlizer: ║ ║
meseca-20062024-c1-dpo-1e-v1-mkmlizer: ║ Version: 0.8.14 ║
meseca-20062024-c1-dpo-1e-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
meseca-20062024-c1-dpo-1e-v1-mkmlizer: ║ https://mk1.ai ║
meseca-20062024-c1-dpo-1e-v1-mkmlizer: ║ ║
meseca-20062024-c1-dpo-1e-v1-mkmlizer: ║ The license key for the current software has been verified as ║
meseca-20062024-c1-dpo-1e-v1-mkmlizer: ║ belonging to: ║
meseca-20062024-c1-dpo-1e-v1-mkmlizer: ║ ║
meseca-20062024-c1-dpo-1e-v1-mkmlizer: ║ Chai Research Corp. ║
meseca-20062024-c1-dpo-1e-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
meseca-20062024-c1-dpo-1e-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
meseca-20062024-c1-dpo-1e-v1-mkmlizer: ║ ║
meseca-20062024-c1-dpo-1e-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
meseca-20062024-c1-dpo-1e-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.
meseca-20062024-c1-dpo-1e-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
meseca-20062024-c1-dpo-1e-v1-mkmlizer: Downloaded to shared memory in 42.246s
meseca-20062024-c1-dpo-1e-v1-mkmlizer: quantizing model to /dev/shm/model_cache
meseca-20062024-c1-dpo-1e-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
meseca-20062024-c1-dpo-1e-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 4%|▍ | 12/291 [00:00<00:02, 104.66it/s] Loading 0: 8%|▊ | 23/291 [00:00<00:02, 102.79it/s] Loading 0: 13%|█▎ | 39/291 [00:00<00:02, 125.62it/s] Loading 0: 18%|█▊ | 52/291 [00:00<00:01, 121.34it/s] Loading 0: 23%|██▎ | 66/291 [00:00<00:01, 127.38it/s] Loading 0: 27%|██▋ | 79/291 [00:00<00:01, 124.36it/s] Loading 0: 32%|███▏ | 92/291 [00:01<00:02, 69.41it/s] Loading 0: 35%|███▌ | 103/291 [00:01<00:02, 76.31it/s] Loading 0: 41%|████ | 118/291 [00:01<00:01, 92.26it/s] Loading 0: 45%|████▍ | 130/291 [00:01<00:01, 96.56it/s] Loading 0: 49%|████▉ | 142/291 [00:01<00:01, 99.14it/s] Loading 0: 54%|█████▍ | 157/291 [00:01<00:01, 108.02it/s] Loading 0: 59%|█████▉ | 171/291 [00:01<00:01, 115.89it/s] Loading 0: 63%|██████▎ | 184/291 [00:01<00:00, 115.00it/s] Loading 0: 68%|██████▊ | 197/291 [00:02<00:01, 69.03it/s] Loading 0: 73%|███████▎ | 211/291 [00:02<00:00, 80.38it/s] Loading 0: 77%|███████▋ | 225/291 [00:02<00:00, 92.45it/s] Loading 0: 81%|████████▏ | 237/291 [00:02<00:00, 96.24it/s] Loading 0: 86%|████████▌ | 249/291 [00:02<00:00, 100.37it/s] Loading 0: 91%|█████████ | 265/291 [00:02<00:00, 110.88it/s] Loading 0: 96%|█████████▌| 279/291 [00:02<00:00, 116.64it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
meseca-20062024-c1-dpo-1e-v1-mkmlizer: quantized model in 23.901s
meseca-20062024-c1-dpo-1e-v1-mkmlizer: Processed model meseca/20062024-c1-dpo-1e in 68.780s
meseca-20062024-c1-dpo-1e-v1-mkmlizer: creating bucket guanaco-mkml-models
meseca-20062024-c1-dpo-1e-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
meseca-20062024-c1-dpo-1e-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/meseca-20062024-c1-dpo-1e-v1
meseca-20062024-c1-dpo-1e-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/meseca-20062024-c1-dpo-1e-v1/config.json
meseca-20062024-c1-dpo-1e-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/meseca-20062024-c1-dpo-1e-v1/special_tokens_map.json
meseca-20062024-c1-dpo-1e-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/meseca-20062024-c1-dpo-1e-v1/tokenizer_config.json
meseca-20062024-c1-dpo-1e-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/meseca-20062024-c1-dpo-1e-v1/flywheel_model.0.safetensors
meseca-20062024-c1-dpo-1e-v1-mkmlizer: loading reward model from Jellywibble/CHAI_alignment_reward_model
meseca-20062024-c1-dpo-1e-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.
meseca-20062024-c1-dpo-1e-v1-mkmlizer: warnings.warn(
meseca-20062024-c1-dpo-1e-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.
meseca-20062024-c1-dpo-1e-v1-mkmlizer: warnings.warn(
meseca-20062024-c1-dpo-1e-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.
meseca-20062024-c1-dpo-1e-v1-mkmlizer: warnings.warn(
meseca-20062024-c1-dpo-1e-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
meseca-20062024-c1-dpo-1e-v1-mkmlizer: Saving duration: 0.165s
meseca-20062024-c1-dpo-1e-v1-mkmlizer: Processed model Jellywibble/CHAI_alignment_reward_model in 3.979s
meseca-20062024-c1-dpo-1e-v1-mkmlizer: creating bucket guanaco-reward-models
meseca-20062024-c1-dpo-1e-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
meseca-20062024-c1-dpo-1e-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/meseca-20062024-c1-dpo-1e-v1_reward
meseca-20062024-c1-dpo-1e-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/meseca-20062024-c1-dpo-1e-v1_reward/config.json
meseca-20062024-c1-dpo-1e-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/meseca-20062024-c1-dpo-1e-v1_reward/tokenizer_config.json
meseca-20062024-c1-dpo-1e-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/meseca-20062024-c1-dpo-1e-v1_reward/special_tokens_map.json
meseca-20062024-c1-dpo-1e-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/meseca-20062024-c1-dpo-1e-v1_reward/merges.txt
meseca-20062024-c1-dpo-1e-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/meseca-20062024-c1-dpo-1e-v1_reward/vocab.json
meseca-20062024-c1-dpo-1e-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/meseca-20062024-c1-dpo-1e-v1_reward/tokenizer.json
meseca-20062024-c1-dpo-1e-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/meseca-20062024-c1-dpo-1e-v1_reward/reward.tensors
Job meseca-20062024-c1-dpo-1e-v1-mkmlizer completed after 94.82s with status: succeeded
Stopping job with name meseca-20062024-c1-dpo-1e-v1-mkmlizer
Pipeline stage MKMLizer completed in 95.89s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service meseca-20062024-c1-dpo-1e-v1
Waiting for inference service meseca-20062024-c1-dpo-1e-v1 to be ready
Inference service meseca-20062024-c1-dpo-1e-v1 ready after 40.241185903549194s
Pipeline stage ISVCDeployer completed in 47.54s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1558971405029297s
Received healthy response to inference request in 1.388676643371582s
Received healthy response to inference request in 1.2808096408843994s
Received healthy response to inference request in 1.279911994934082s
Received healthy response to inference request in 1.333874225616455s
5 requests
0 failed requests
5th percentile: 1.2800915241241455
10th percentile: 1.280271053314209
20th percentile: 1.280630111694336
30th percentile: 1.2914225578308105
40th percentile: 1.312648391723633
50th percentile: 1.333874225616455
60th percentile: 1.355795192718506
70th percentile: 1.3777161598205567
80th percentile: 1.5421207427978516
90th percentile: 1.8490089416503908
95th percentile: 2.00245304107666
99th percentile: 2.1252083206176757
mean time: 1.4878339290618896
Pipeline stage StressChecker completed in 8.17s
meseca-20062024-c1-dpo-1e_v1 status is now deployed due to DeploymentManager action
meseca-20062024-c1-dpo-1e_v1 status is now inactive due to auto deactivation removed underperforming models

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