submission_id: cycy233-misllm-v7-5-2-5_v2
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v7.5.2.5
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': "{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}
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: 2024-06-13T06:28:37+00:00
model_name: base_f
model_eval_status: success
model_group: cycy233/misllm_v7.5.2.5
num_battles: 17291
num_wins: 8879
celo_rating: 1190.44
propriety_score: 0.6848699441645104
propriety_total_count: 7343.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7248023552.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: base_f
ineligible_reason: None
language_model: cycy233/misllm_v7.5.2.5
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-12
win_ratio: 0.5135041350991846
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v7-5-2-5-v2-mkmlizer
Waiting for job on cycy233-misllm-v7-5-2-5-v2-mkmlizer to finish
cycy233-misllm-v7-5-2-5-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-misllm-v7-5-2-5-v2-mkmlizer: ║ _____ __ __ ║
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cycy233-misllm-v7-5-2-5-v2-mkmlizer: ║ ║
cycy233-misllm-v7-5-2-5-v2-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v7-5-2-5-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v7-5-2-5-v2-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v7-5-2-5-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v7-5-2-5-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v7-5-2-5-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cycy233-misllm-v7-5-2-5-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v7-5-2-5-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.
cycy233-misllm-v7-5-2-5-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v7-5-2-5-v2-mkmlizer: Downloaded to shared memory in 20.953s
cycy233-misllm-v7-5-2-5-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v7-5-2-5-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v7-5-2-5-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 12%|█▏ | 35/291 [00:00<00:00, 302.60it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 74.80it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 92.33it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 78.09it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v7-5-2-5-v2-mkmlizer: quantized model in 15.577s
cycy233-misllm-v7-5-2-5-v2-mkmlizer: Processed model cycy233/misllm_v7.5.2.5 in 38.978s
cycy233-misllm-v7-5-2-5-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v7-5-2-5-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v7-5-2-5-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v7-5-2-5-v2
cycy233-misllm-v7-5-2-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v7-5-2-5-v2/tokenizer.model
cycy233-misllm-v7-5-2-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v7-5-2-5-v2/tokenizer_config.json
cycy233-misllm-v7-5-2-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v7-5-2-5-v2/tokenizer.json
cycy233-misllm-v7-5-2-5-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v7-5-2-5-v2/special_tokens_map.json
cycy233-misllm-v7-5-2-5-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v7-5-2-5-v2/config.json
cycy233-misllm-v7-5-2-5-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v7-5-2-5-v2/flywheel_model.0.safetensors
cycy233-misllm-v7-5-2-5-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v7-5-2-5-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.
cycy233-misllm-v7-5-2-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v7-5-2-5-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.
cycy233-misllm-v7-5-2-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v7-5-2-5-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.
cycy233-misllm-v7-5-2-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v7-5-2-5-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()
cycy233-misllm-v7-5-2-5-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v7-5-2-5-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v7-5-2-5-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v7-5-2-5-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v7-5-2-5-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v7-5-2-5-v2_reward
cycy233-misllm-v7-5-2-5-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v7-5-2-5-v2_reward/special_tokens_map.json
cycy233-misllm-v7-5-2-5-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v7-5-2-5-v2_reward/config.json
cycy233-misllm-v7-5-2-5-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v7-5-2-5-v2_reward/tokenizer_config.json
cycy233-misllm-v7-5-2-5-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v7-5-2-5-v2_reward/merges.txt
cycy233-misllm-v7-5-2-5-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v7-5-2-5-v2_reward/vocab.json
cycy233-misllm-v7-5-2-5-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v7-5-2-5-v2_reward/tokenizer.json
cycy233-misllm-v7-5-2-5-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v7-5-2-5-v2_reward/reward.tensors
Job cycy233-misllm-v7-5-2-5-v2-mkmlizer completed after 72.84s with status: succeeded
Stopping job with name cycy233-misllm-v7-5-2-5-v2-mkmlizer
Pipeline stage MKMLizer completed in 73.61s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v7-5-2-5-v2
Waiting for inference service cycy233-misllm-v7-5-2-5-v2 to be ready
Inference service cycy233-misllm-v7-5-2-5-v2 ready after 40.23602104187012s
Pipeline stage ISVCDeployer completed in 46.08s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.11574125289917s
Received healthy response to inference request in 1.1717827320098877s
Received healthy response to inference request in 1.185002088546753s
Received healthy response to inference request in 1.1854825019836426s
Received healthy response to inference request in 1.182102918624878s
5 requests
0 failed requests
5th percentile: 1.1738467693328858
10th percentile: 1.1759108066558839
20th percentile: 1.1800388813018798
30th percentile: 1.182682752609253
40th percentile: 1.183842420578003
50th percentile: 1.185002088546753
60th percentile: 1.1851942539215088
70th percentile: 1.1853864192962646
80th percentile: 1.3715342521667482
90th percentile: 1.7436377525329592
95th percentile: 1.9296895027160643
99th percentile: 2.078530902862549
mean time: 1.3680222988128663
Pipeline stage StressChecker completed in 7.42s
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
cycy233-misllm-v7-5-2-5_v2 status is now deployed due to DeploymentManager action
cycy233-misllm-v7-5-2-5_v2 status is now inactive due to auto deactivation removed underperforming models

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