submission_id: cycy233-l3-fusion-v1-e2-0_v1
developer_uid: shiroe40
status: inactive
model_repo: cycy233/L3-fusion-v1-e2.0
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': 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: 2024-07-01T04:23:11+00:00
model_name: auto
model_group: cycy233/L3-fusion-v1-e2.
num_battles: 14459
num_wins: 7201
celo_rating: 1183.96
propriety_score: 0.6967403958090803
propriety_total_count: 6872.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: auto
ineligible_reason: None
language_model: cycy233/L3-fusion-v1-e2.0
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-30
win_ratio: 0.4980289093298292
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-fusion-v1-e2-0-v1-mkmlizer
Waiting for job on cycy233-l3-fusion-v1-e2-0-v1-mkmlizer to finish
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: ║ _____ __ __ ║
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cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: ║ ║
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: ║ Version: 0.8.14 ║
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-fusion-v1-e2-0-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.
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: Downloaded to shared memory in 40.081s
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 81.91it/s] Loading 0: 64%|██████▍ | 187/291 [00:01<00:01, 98.55it/s] Loading 0: 99%|█████████▊| 287/291 [00:02<00:00, 142.01it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: quantized model in 18.887s
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: Processed model cycy233/L3-fusion-v1-e2.0 in 59.970s
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-fusion-v1-e2-0-v1
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-fusion-v1-e2-0-v1/config.json
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-fusion-v1-e2-0-v1/special_tokens_map.json
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-fusion-v1-e2-0-v1/tokenizer_config.json
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-fusion-v1-e2-0-v1/tokenizer.json
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-fusion-v1-e2-0-v1/flywheel_model.0.safetensors
cycy233-l3-fusion-v1-e2-0-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.
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: warnings.warn(
cycy233-l3-fusion-v1-e2-0-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.
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: warnings.warn(
cycy233-l3-fusion-v1-e2-0-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()
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: Saving duration: 0.285s
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.208s
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-fusion-v1-e2-0-v1_reward
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-fusion-v1-e2-0-v1_reward/config.json
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-fusion-v1-e2-0-v1_reward/special_tokens_map.json
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-fusion-v1-e2-0-v1_reward/tokenizer_config.json
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-fusion-v1-e2-0-v1_reward/merges.txt
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-fusion-v1-e2-0-v1_reward/vocab.json
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-fusion-v1-e2-0-v1_reward/tokenizer.json
cycy233-l3-fusion-v1-e2-0-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-fusion-v1-e2-0-v1_reward/reward.tensors
Job cycy233-l3-fusion-v1-e2-0-v1-mkmlizer completed after 94.6s with status: succeeded
Stopping job with name cycy233-l3-fusion-v1-e2-0-v1-mkmlizer
Pipeline stage MKMLizer completed in 95.40s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-fusion-v1-e2-0-v1
Waiting for inference service cycy233-l3-fusion-v1-e2-0-v1 to be ready
Inference service cycy233-l3-fusion-v1-e2-0-v1 ready after 40.20315718650818s
Pipeline stage ISVCDeployer completed in 46.91s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1145551204681396s
Received healthy response to inference request in 1.3906474113464355s
Received healthy response to inference request in 1.3394975662231445s
Received healthy response to inference request in 1.2998290061950684s
%s, retrying in %s seconds...
Received healthy response to inference request in 1.2975473403930664s
Received healthy response to inference request in 1.3568058013916016s
Received healthy response to inference request in 1.3310136795043945s
Received healthy response to inference request in 1.2860219478607178s
Received healthy response to inference request in 1.707449197769165s
5 requests
0 failed requests
5th percentile: 1.2883270263671875
10th percentile: 1.2906321048736573
20th percentile: 1.2952422618865966
30th percentile: 1.304240608215332
40th percentile: 1.3176271438598632
50th percentile: 1.3310136795043945
60th percentile: 1.3413305282592773
70th percentile: 1.3516473770141602
80th percentile: 1.4269344806671143
90th percentile: 1.5671918392181396
95th percentile: 1.6373205184936523
99th percentile: 1.6934234619140625
mean time: 1.395767593383789
Pipeline stage StressChecker completed in 20.71s
cycy233-l3-fusion-v1-e2-0_v1 status is now deployed due to DeploymentManager action
cycy233-l3-fusion-v1-e2-0_v1 status is now inactive due to auto deactivation removed underperforming models

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