submission_id: cycy233-l3-exp-v1-e2-5_v1
developer_uid: shiroe40
status: inactive
model_repo: cycy233/L3-exp-v1-e2.5
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}
timestamp: 2024-06-27T01:36:35+00:00
model_name: auto
model_group: cycy233/L3-exp-v1-e2.5
num_battles: 23119
num_wins: 11565
celo_rating: 1175.08
propriety_score: 0.7091728769896034
propriety_total_count: 10869.0
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-exp-v1-e2.5
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-26
win_ratio: 0.5002378995631299
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-exp-v1-e2-5-v1-mkmlizer
Waiting for job on cycy233-l3-exp-v1-e2-5-v1-mkmlizer to finish
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: ║ _____ __ __ ║
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cycy233-l3-exp-v1-e2-5-v1-mkmlizer: ║ /___/ ║
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: ║ ║
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: ║ Version: 0.8.14 ║
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: ║ ║
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: ║ The license key for the current software has been verified as ║
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cycy233-l3-exp-v1-e2-5-v1-mkmlizer: ║ ║
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: ║ ║
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-exp-v1-e2-5-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-exp-v1-e2-5-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: Downloaded to shared memory in 44.502s
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 81.15it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 95.66it/s] Loading 0: 99%|█████████▊| 287/291 [00:02<00:00, 137.85it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: quantized model in 18.865s
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: Processed model cycy233/L3-exp-v1-e2.5 in 64.387s
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-exp-v1-e2-5-v1
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-exp-v1-e2-5-v1/config.json
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-exp-v1-e2-5-v1/special_tokens_map.json
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-exp-v1-e2-5-v1/tokenizer_config.json
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-exp-v1-e2-5-v1/tokenizer.json
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-exp-v1-e2-5-v1/flywheel_model.0.safetensors
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-l3-exp-v1-e2-5-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.
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: warnings.warn(
cycy233-l3-exp-v1-e2-5-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-exp-v1-e2-5-v1-mkmlizer: warnings.warn(
cycy233-l3-exp-v1-e2-5-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-exp-v1-e2-5-v1-mkmlizer: warnings.warn(
cycy233-l3-exp-v1-e2-5-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-exp-v1-e2-5-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-exp-v1-e2-5-v1_reward
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-exp-v1-e2-5-v1_reward/config.json
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-exp-v1-e2-5-v1_reward/special_tokens_map.json
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-exp-v1-e2-5-v1_reward/tokenizer_config.json
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-exp-v1-e2-5-v1_reward/merges.txt
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-exp-v1-e2-5-v1_reward/vocab.json
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-exp-v1-e2-5-v1_reward/tokenizer.json
cycy233-l3-exp-v1-e2-5-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-exp-v1-e2-5-v1_reward/reward.tensors
Job cycy233-l3-exp-v1-e2-5-v1-mkmlizer completed after 94.61s with status: succeeded
Stopping job with name cycy233-l3-exp-v1-e2-5-v1-mkmlizer
Pipeline stage MKMLizer completed in 95.85s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-exp-v1-e2-5-v1
Waiting for inference service cycy233-l3-exp-v1-e2-5-v1 to be ready
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Inference service cycy233-l3-exp-v1-e2-5-v1 ready after 100.51579809188843s
Pipeline stage ISVCDeployer completed in 107.22s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.124485731124878s
Received healthy response to inference request in 1.297663927078247s
Received healthy response to inference request in 1.2787387371063232s
Received healthy response to inference request in 1.2469055652618408s
Received healthy response to inference request in 1.3246212005615234s
5 requests
0 failed requests
5th percentile: 1.2532721996307372
10th percentile: 1.2596388339996338
20th percentile: 1.2723721027374268
30th percentile: 1.282523775100708
40th percentile: 1.2900938510894775
50th percentile: 1.297663927078247
60th percentile: 1.3084468364715576
70th percentile: 1.319229745864868
80th percentile: 1.4845941066741946
90th percentile: 1.8045399188995361
95th percentile: 1.9645128250122068
99th percentile: 2.0924911499023438
mean time: 1.4544830322265625
Pipeline stage StressChecker completed in 7.96s
cycy233-l3-exp-v1-e2-5_v1 status is now deployed due to DeploymentManager action
cycy233-l3-exp-v1-e2-5_v1 status is now inactive due to auto deactivation removed underperforming models

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