submission_id: jebcarter-psyonic-cetace_1919_v2
developer_uid: greg2rod6
status: inactive
model_repo: jebcarter/psyonic-cetacean-20B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-06-29T17:59:15+00:00
model_name: jebcarter-psyonic-cetace_1919_v2
model_group: jebcarter/psyonic-cetace
num_battles: 14471
num_wins: 6341
celo_rating: 1130.96
propriety_score: 0.7219533655961284
propriety_total_count: 6819.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 19994362880.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: jebcarter-psyonic-cetace_1919_v2
ineligible_reason: None
language_model: jebcarter/psyonic-cetacean-20B
model_size: 20B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-29
win_ratio: 0.4381867182641144
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jebcarter-psyonic-cetace-1919-v2-mkmlizer
Waiting for job on jebcarter-psyonic-cetace-1919-v2-mkmlizer to finish
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║ ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║ Version: 0.8.14 ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║ https://mk1.ai ║
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jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║ The license key for the current software has been verified as ║
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jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║ Chai Research Corp. ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ║ ║
jebcarter-psyonic-cetace-1919-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jebcarter-psyonic-cetace-1919-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.
jebcarter-psyonic-cetace-1919-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
jebcarter-psyonic-cetace-1919-v2-mkmlizer: Downloaded to shared memory in 54.356s
jebcarter-psyonic-cetace-1919-v2-mkmlizer: quantizing model to /dev/shm/model_cache
jebcarter-psyonic-cetace-1919-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jebcarter-psyonic-cetace-1919-v2-mkmlizer: quantized model in 32.968s
jebcarter-psyonic-cetace-1919-v2-mkmlizer: Processed model jebcarter/psyonic-cetacean-20B in 93.721s
jebcarter-psyonic-cetace-1919-v2-mkmlizer: creating bucket guanaco-mkml-models
jebcarter-psyonic-cetace-1919-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jebcarter-psyonic-cetace-1919-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v2
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v2/tokenizer_config.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v2/tokenizer.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v2/tokenizer.model
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v2/config.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v2/special_tokens_map.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v2/flywheel_model.1.safetensors
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jebcarter-psyonic-cetace-1919-v2/flywheel_model.0.safetensors
jebcarter-psyonic-cetace-1919-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
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jebcarter-psyonic-cetace-1919-v2-mkmlizer: warnings.warn(
jebcarter-psyonic-cetace-1919-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.
jebcarter-psyonic-cetace-1919-v2-mkmlizer: warnings.warn(
jebcarter-psyonic-cetace-1919-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.
jebcarter-psyonic-cetace-1919-v2-mkmlizer: warnings.warn(
jebcarter-psyonic-cetace-1919-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()
jebcarter-psyonic-cetace-1919-v2-mkmlizer: return self.fget.__get__(instance, owner)()
jebcarter-psyonic-cetace-1919-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jebcarter-psyonic-cetace-1919-v2-mkmlizer: Saving duration: 0.410s
jebcarter-psyonic-cetace-1919-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 9.595s
jebcarter-psyonic-cetace-1919-v2-mkmlizer: creating bucket guanaco-reward-models
jebcarter-psyonic-cetace-1919-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jebcarter-psyonic-cetace-1919-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v2_reward
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v2_reward/special_tokens_map.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v2_reward/tokenizer_config.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v2_reward/config.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v2_reward/merges.txt
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v2_reward/vocab.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v2_reward/tokenizer.json
jebcarter-psyonic-cetace-1919-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jebcarter-psyonic-cetace-1919-v2_reward/reward.tensors
Job jebcarter-psyonic-cetace-1919-v2-mkmlizer completed after 134.93s with status: succeeded
Stopping job with name jebcarter-psyonic-cetace-1919-v2-mkmlizer
Pipeline stage MKMLizer completed in 135.83s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service jebcarter-psyonic-cetace-1919-v2
Waiting for inference service jebcarter-psyonic-cetace-1919-v2 to be ready
Inference service jebcarter-psyonic-cetace-1919-v2 ready after 50.251585483551025s
Pipeline stage ISVCDeployer completed in 57.31s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.3185458183288574s
Received healthy response to inference request in 2.44380521774292s
Received healthy response to inference request in 2.500077724456787s
Received healthy response to inference request in 2.506676435470581s
Received healthy response to inference request in 2.47641658782959s
5 requests
0 failed requests
5th percentile: 2.450327491760254
10th percentile: 2.456849765777588
20th percentile: 2.4698943138122558
30th percentile: 2.4811488151550294
40th percentile: 2.490613269805908
50th percentile: 2.500077724456787
60th percentile: 2.502717208862305
70th percentile: 2.505356693267822
80th percentile: 2.6690503120422364
90th percentile: 2.9937980651855467
95th percentile: 3.156171941757202
99th percentile: 3.2860710430145263
mean time: 2.649104356765747
Pipeline stage StressChecker completed in 14.00s
jebcarter-psyonic-cetace_1919_v2 status is now deployed due to DeploymentManager action
jebcarter-psyonic-cetace_1919_v2 status is now inactive due to auto deactivation removed underperforming models

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