submission_id: meseca-02072024-v1_v1
developer_uid: nguyenzzz
status: inactive
model_repo: meseca/02072024-v1
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_header_id|>,', '<|eot_id|>,', '\n\n{user_name}'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nCurrently, your role is {bot_name}, described in detail below. As {bot_name}, continue the narrative exchange with {user_name}\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: 2024-07-03T02:19:14+00:00
model_name: meseca-02072024-v1_v1
model_group: meseca/02072024-v1
num_battles: 12748
num_wins: 6607
celo_rating: 1195.57
propriety_score: 0.7055619739230896
propriety_total_count: 6059.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
display_name: meseca-02072024-v1_v1
ineligible_reason: None
language_model: meseca/02072024-v1
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-07-02
win_ratio: 0.5182773768434265
Resubmit model
Running pipeline stage MKMLizer
Starting job with name meseca-02072024-v1-v1-mkmlizer
Waiting for job on meseca-02072024-v1-v1-mkmlizer to finish
meseca-02072024-v1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
meseca-02072024-v1-v1-mkmlizer: ║ _____ __ __ ║
meseca-02072024-v1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
meseca-02072024-v1-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
meseca-02072024-v1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
meseca-02072024-v1-v1-mkmlizer: ║ /___/ ║
meseca-02072024-v1-v1-mkmlizer: ║ ║
meseca-02072024-v1-v1-mkmlizer: ║ Version: 0.8.14 ║
meseca-02072024-v1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
meseca-02072024-v1-v1-mkmlizer: ║ https://mk1.ai ║
meseca-02072024-v1-v1-mkmlizer: ║ ║
meseca-02072024-v1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
meseca-02072024-v1-v1-mkmlizer: ║ belonging to: ║
meseca-02072024-v1-v1-mkmlizer: ║ ║
meseca-02072024-v1-v1-mkmlizer: ║ Chai Research Corp. ║
meseca-02072024-v1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
meseca-02072024-v1-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
meseca-02072024-v1-v1-mkmlizer: ║ ║
meseca-02072024-v1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
meseca-02072024-v1-v1-mkmlizer: Downloaded to shared memory in 45.191s
meseca-02072024-v1-v1-mkmlizer: quantizing model to /dev/shm/model_cache
meseca-02072024-v1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
meseca-02072024-v1-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:02, 124.04it/s] Loading 0: 10%|█ | 30/291 [00:00<00:01, 146.20it/s] Loading 0: 15%|█▌ | 45/291 [00:00<00:01, 144.22it/s] Loading 0: 21%|██ | 60/291 [00:00<00:01, 140.10it/s] Loading 0: 26%|██▌ | 76/291 [00:00<00:01, 141.24it/s] Loading 0: 31%|███▏ | 91/291 [00:00<00:02, 74.47it/s] Loading 0: 36%|███▌ | 104/291 [00:01<00:02, 83.62it/s] Loading 0: 42%|████▏ | 121/291 [00:01<00:01, 101.02it/s] Loading 0: 47%|████▋ | 138/291 [00:01<00:01, 114.92it/s] Loading 0: 52%|█████▏ | 152/291 [00:01<00:01, 120.59it/s] Loading 0: 57%|█████▋ | 166/291 [00:01<00:01, 124.65it/s] Loading 0: 62%|██████▏ | 181/291 [00:01<00:00, 128.52it/s] Loading 0: 67%|██████▋ | 195/291 [00:01<00:01, 77.43it/s] Loading 0: 73%|███████▎ | 211/291 [00:02<00:00, 91.76it/s] Loading 0: 78%|███████▊ | 228/291 [00:02<00:00, 105.11it/s] Loading 0: 84%|████████▎ | 243/291 [00:02<00:00, 114.32it/s] Loading 0: 88%|████████▊ | 257/291 [00:02<00:00, 118.25it/s] Loading 0: 94%|█████████▍| 274/291 [00:02<00:00, 129.98it/s] Loading 0: 99%|█████████▉| 289/291 [00:08<00:00, 8.52it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
meseca-02072024-v1-v1-mkmlizer: quantized model in 24.228s
meseca-02072024-v1-v1-mkmlizer: Processed model meseca/02072024-v1 in 69.420s
meseca-02072024-v1-v1-mkmlizer: creating bucket guanaco-mkml-models
meseca-02072024-v1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
meseca-02072024-v1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/meseca-02072024-v1-v1
meseca-02072024-v1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/meseca-02072024-v1-v1/config.json
meseca-02072024-v1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/meseca-02072024-v1-v1/special_tokens_map.json
meseca-02072024-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/meseca-02072024-v1-v1/tokenizer_config.json
meseca-02072024-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/meseca-02072024-v1-v1/tokenizer.json
meseca-02072024-v1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/meseca-02072024-v1-v1/flywheel_model.0.safetensors
meseca-02072024-v1-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
meseca-02072024-v1-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:919: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
meseca-02072024-v1-v1-mkmlizer: warnings.warn(
meseca-02072024-v1-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
meseca-02072024-v1-v1-mkmlizer: warnings.warn(
meseca-02072024-v1-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-02072024-v1-v1-mkmlizer: warnings.warn(
meseca-02072024-v1-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()
meseca-02072024-v1-v1-mkmlizer: return self.fget.__get__(instance, owner)()
meseca-02072024-v1-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
meseca-02072024-v1-v1-mkmlizer: Saving duration: 0.406s
meseca-02072024-v1-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.642s
meseca-02072024-v1-v1-mkmlizer: creating bucket guanaco-reward-models
meseca-02072024-v1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
meseca-02072024-v1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/meseca-02072024-v1-v1_reward
meseca-02072024-v1-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/meseca-02072024-v1-v1_reward/special_tokens_map.json
meseca-02072024-v1-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/meseca-02072024-v1-v1_reward/config.json
meseca-02072024-v1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/meseca-02072024-v1-v1_reward/tokenizer_config.json
meseca-02072024-v1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/meseca-02072024-v1-v1_reward/merges.txt
meseca-02072024-v1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/meseca-02072024-v1-v1_reward/vocab.json
meseca-02072024-v1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/meseca-02072024-v1-v1_reward/tokenizer.json
meseca-02072024-v1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/meseca-02072024-v1-v1_reward/reward.tensors
Job meseca-02072024-v1-v1-mkmlizer completed after 103.92s with status: succeeded
Stopping job with name meseca-02072024-v1-v1-mkmlizer
Pipeline stage MKMLizer completed in 104.83s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service meseca-02072024-v1-v1
Waiting for inference service meseca-02072024-v1-v1 to be ready
Inference service meseca-02072024-v1-v1 ready after 50.23924994468689s
Pipeline stage ISVCDeployer completed in 56.95s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0669589042663574s
Received healthy response to inference request in 1.2054269313812256s
Received healthy response to inference request in 1.2331390380859375s
Received healthy response to inference request in 1.2825381755828857s
Received healthy response to inference request in 1.3114888668060303s
5 requests
0 failed requests
5th percentile: 1.2109693527221679
10th percentile: 1.2165117740631104
20th percentile: 1.2275966167449952
30th percentile: 1.2430188655853271
40th percentile: 1.2627785205841064
50th percentile: 1.2825381755828857
60th percentile: 1.2941184520721436
70th percentile: 1.3056987285614015
80th percentile: 1.4625828742980957
90th percentile: 1.7647708892822267
95th percentile: 1.915864896774292
99th percentile: 2.0367401027679444
mean time: 1.4199103832244873
Pipeline stage StressChecker completed in 9.14s
meseca-02072024-v1_v1 status is now deployed due to DeploymentManager action
meseca-02072024-v1_v1 status is now inactive due to auto deactivation removed underperforming models

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