submission_id: meseca-caspian-1-1_v2
developer_uid: nguyenzzz
status: inactive
model_repo: meseca/caspian-1.1
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.25, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 50, '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': '<|start_header_id|>system<|end_header_id|>\n\nThis is an entertaining conversation. You are {bot_name} who has the persona: {memory}.\nEngage in a chat with {user_name} while staying in character. Try to flirt with {user_name}. Engage in *roleplay* actions. Describe the scene dramatically.\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: 2024-06-03T04:39:20+00:00
model_name: meseca-caspian-11_v1
model_eval_status: success
model_group: meseca/caspian-1.1
num_battles: 10273
num_wins: 5370
celo_rating: 1198.36
safety_score: 0.92
propriety_score: 0.6680497925311203
propriety_total_count: 241.0
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-caspian-11_v1
ineligible_reason: propriety_total_count < 5000
language_model: meseca/caspian-1.1
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-02
win_ratio: 0.5227294850579188
Resubmit model
Running pipeline stage MKMLizer
Starting job with name meseca-caspian-1-1-v2-mkmlizer
Waiting for job on meseca-caspian-1-1-v2-mkmlizer to finish
meseca-caspian-1-1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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meseca-caspian-1-1-v2-mkmlizer: ║ /___/ ║
meseca-caspian-1-1-v2-mkmlizer: ║ ║
meseca-caspian-1-1-v2-mkmlizer: ║ Version: 0.8.14 ║
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meseca-caspian-1-1-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
meseca-caspian-1-1-v2-mkmlizer: ║ ║
meseca-caspian-1-1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
meseca-caspian-1-1-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.
meseca-caspian-1-1-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
meseca-caspian-1-1-v2-mkmlizer: Downloaded to shared memory in 21.967s
meseca-caspian-1-1-v2-mkmlizer: quantizing model to /dev/shm/model_cache
meseca-caspian-1-1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
meseca-caspian-1-1-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<10:54, 2.26s/it] Loading 0: 5%|▌ | 15/291 [00:04<01:02, 4.40it/s] Loading 0: 11%|█▏ | 33/291 [00:04<00:22, 11.70it/s] Loading 0: 18%|█▊ | 51/291 [00:04<00:11, 21.02it/s] Loading 0: 22%|██▏ | 65/291 [00:05<00:08, 25.15it/s] Loading 0: 27%|██▋ | 78/291 [00:05<00:06, 33.55it/s] Loading 0: 33%|███▎ | 95/291 [00:05<00:04, 47.49it/s] Loading 0: 38%|███▊ | 112/291 [00:05<00:02, 62.69it/s] Loading 0: 45%|████▍ | 130/291 [00:05<00:02, 79.24it/s] Loading 0: 50%|█████ | 146/291 [00:05<00:01, 93.42it/s] Loading 0: 55%|█████▌ | 161/291 [00:05<00:01, 104.72it/s] Loading 0: 60%|██████ | 176/291 [00:06<00:01, 74.35it/s] Loading 0: 67%|██████▋ | 194/291 [00:06<00:01, 91.23it/s] Loading 0: 73%|███████▎ | 212/291 [00:06<00:00, 106.71it/s] Loading 0: 79%|███████▊ | 229/291 [00:06<00:00, 119.90it/s] Loading 0: 85%|████████▍ | 247/291 [00:06<00:00, 130.37it/s] Loading 0: 91%|█████████ | 265/291 [00:06<00:00, 139.13it/s] Loading 0: 97%|█████████▋| 281/291 [00:07<00:00, 88.75it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
meseca-caspian-1-1-v2-mkmlizer: quantized model in 23.281s
meseca-caspian-1-1-v2-mkmlizer: creating bucket guanaco-mkml-models
meseca-caspian-1-1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
meseca-caspian-1-1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/meseca-caspian-1-1-v2
meseca-caspian-1-1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/meseca-caspian-1-1-v2/config.json
meseca-caspian-1-1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/meseca-caspian-1-1-v2/special_tokens_map.json
meseca-caspian-1-1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/meseca-caspian-1-1-v2/tokenizer.json
meseca-caspian-1-1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/meseca-caspian-1-1-v2/tokenizer_config.json
meseca-caspian-1-1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/meseca-caspian-1-1-v2/flywheel_model.0.safetensors
meseca-caspian-1-1-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
meseca-caspian-1-1-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.
meseca-caspian-1-1-v2-mkmlizer: warnings.warn(
meseca-caspian-1-1-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.
meseca-caspian-1-1-v2-mkmlizer: warnings.warn(
meseca-caspian-1-1-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.
meseca-caspian-1-1-v2-mkmlizer: warnings.warn(
meseca-caspian-1-1-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()
meseca-caspian-1-1-v2-mkmlizer: return self.fget.__get__(instance, owner)()
meseca-caspian-1-1-v2-mkmlizer: creating bucket guanaco-reward-models
meseca-caspian-1-1-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
meseca-caspian-1-1-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/meseca-caspian-1-1-v2_reward
meseca-caspian-1-1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/meseca-caspian-1-1-v2_reward/tokenizer_config.json
meseca-caspian-1-1-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/meseca-caspian-1-1-v2_reward/special_tokens_map.json
meseca-caspian-1-1-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/meseca-caspian-1-1-v2_reward/merges.txt
meseca-caspian-1-1-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/meseca-caspian-1-1-v2_reward/vocab.json
meseca-caspian-1-1-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/meseca-caspian-1-1-v2_reward/config.json
meseca-caspian-1-1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/meseca-caspian-1-1-v2_reward/tokenizer.json
meseca-caspian-1-1-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/meseca-caspian-1-1-v2_reward/reward.tensors
Job meseca-caspian-1-1-v2-mkmlizer completed after 73.02s with status: succeeded
Stopping job with name meseca-caspian-1-1-v2-mkmlizer
Pipeline stage MKMLizer completed in 75.96s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service meseca-caspian-1-1-v2
Waiting for inference service meseca-caspian-1-1-v2 to be ready
Inference service meseca-caspian-1-1-v2 ready after 110.62830424308777s
Pipeline stage ISVCDeployer completed in 117.46s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2173314094543457s
Received healthy response to inference request in 12.005955934524536s
Received healthy response to inference request in 1.2727069854736328s
Received healthy response to inference request in 1.394136905670166s
Received healthy response to inference request in 1.3232707977294922s
5 requests
0 failed requests
5th percentile: 1.2828197479248047
10th percentile: 1.2929325103759766
20th percentile: 1.3131580352783203
30th percentile: 1.337444019317627
40th percentile: 1.3657904624938966
50th percentile: 1.394136905670166
60th percentile: 1.7234147071838377
70th percentile: 2.0526925086975094
80th percentile: 4.175056314468385
90th percentile: 8.09050612449646
95th percentile: 10.048231029510497
99th percentile: 11.614410953521729
mean time: 3.6426804065704346
Pipeline stage StressChecker completed in 18.77s
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 0.03s
M-Eval Dataset for topic stay_in_character is loaded
meseca-caspian-1-1_v2 status is now deployed due to DeploymentManager action
meseca-caspian-1-1_v2 status is now inactive due to auto deactivation removed underperforming models

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