submission_id: anhnv125-mistral-test_v2
developer_uid: chai_backend_admin
status: inactive
model_repo: anhnv125/mistral-test
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'top_k': 50, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 1, '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}:'}
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}:'}
timestamp: 2024-04-02T15:59:39+00:00
model_name: auto_submit_ricum_mijetopigi
model_eval_status: success
safety_score: 0.89
entertaining: 6.44
stay_in_character: 8.29
user_preference: 6.36
double_thumbs_up: 248
thumbs_up: 385
thumbs_down: 338
num_battles: 24769
num_wins: 9894
win_ratio: 0.3994509265614276
celo_rating: 1082.8
Resubmit model
Running pipeline stage MKMLizer
Starting job with name anhnv125-mistral-test-v2-mkmlizer
Waiting for job on anhnv125-mistral-test-v2-mkmlizer to finish
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anhnv125-mistral-test-v2-mkmlizer: Downloaded to shared memory in 29.179s
anhnv125-mistral-test-v2-mkmlizer: quantizing model to /dev/shm/model_cache
anhnv125-mistral-test-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
anhnv125-mistral-test-v2-mkmlizer: Reading /tmp/tmpuj4gha90/model.safetensors.index.json
anhnv125-mistral-test-v2-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:49, 1.41s/it] Profiling: 5%|▍ | 14/291 [00:01<00:21, 12.59it/s] Profiling: 11%|█ | 32/291 [00:01<00:08, 32.00it/s] Profiling: 16%|█▌ | 47/291 [00:01<00:05, 48.44it/s] Profiling: 22%|██▏ | 65/291 [00:01<00:03, 69.92it/s] Profiling: 29%|██▊ | 83/291 [00:01<00:02, 90.38it/s] Profiling: 34%|███▍ | 99/291 [00:02<00:02, 71.94it/s] Profiling: 40%|███▉ | 116/291 [00:02<00:01, 88.44it/s] Profiling: 45%|████▌ | 132/291 [00:02<00:01, 102.39it/s] Profiling: 51%|█████ | 149/291 [00:02<00:01, 115.99it/s] Profiling: 57%|█████▋ | 167/291 [00:02<00:00, 129.79it/s] Profiling: 64%|██████▎ | 185/291 [00:02<00:00, 139.93it/s] Profiling: 70%|███████ | 204/291 [00:04<00:02, 32.33it/s] Profiling: 76%|███████▌ | 220/291 [00:04<00:01, 41.35it/s] Profiling: 82%|████████▏ | 238/291 [00:04<00:00, 54.13it/s] Profiling: 88%|████████▊ | 256/291 [00:04<00:00, 68.42it/s] Profiling: 94%|█████████▍| 274/291 [00:04<00:00, 83.93it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 58.09it/s]
anhnv125-mistral-test-v2-mkmlizer: Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
anhnv125-mistral-test-v2-mkmlizer: quantized model in 15.595s
anhnv125-mistral-test-v2-mkmlizer: Processed model anhnv125/mistral-test in 45.676s
anhnv125-mistral-test-v2-mkmlizer: creating bucket guanaco-mkml-models
anhnv125-mistral-test-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
anhnv125-mistral-test-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/anhnv125-mistral-test-v2
anhnv125-mistral-test-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/anhnv125-mistral-test-v2/config.json
anhnv125-mistral-test-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/anhnv125-mistral-test-v2/tokenizer_config.json
anhnv125-mistral-test-v2-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/anhnv125-mistral-test-v2/added_tokens.json
anhnv125-mistral-test-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/anhnv125-mistral-test-v2/special_tokens_map.json
anhnv125-mistral-test-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/anhnv125-mistral-test-v2/tokenizer.model
anhnv125-mistral-test-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/anhnv125-mistral-test-v2/tokenizer.json
anhnv125-mistral-test-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/anhnv125-mistral-test-v2/mkml_model.tensors
anhnv125-mistral-test-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
anhnv125-mistral-test-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
anhnv125-mistral-test-v2-mkmlizer: warnings.warn(
anhnv125-mistral-test-v2-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 11.8MB/s]
anhnv125-mistral-test-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
anhnv125-mistral-test-v2-mkmlizer: warnings.warn(
anhnv125-mistral-test-v2-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 3.23MB/s]
anhnv125-mistral-test-v2-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 30.8MB/s]
anhnv125-mistral-test-v2-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 69.3MB/s]
anhnv125-mistral-test-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
anhnv125-mistral-test-v2-mkmlizer: warnings.warn(
Job anhnv125-mistral-test-v2-mkmlizer completed after 133.26s with status: succeeded
Stopping job with name anhnv125-mistral-test-v2-mkmlizer
Pipeline stage MKMLizer completed in 136.32s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service anhnv125-mistral-test-v2
Waiting for inference service anhnv125-mistral-test-v2 to be ready
Inference service anhnv125-mistral-test-v2 ready after 50.29346060752869s
Pipeline stage ISVCDeployer completed in 57.96s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.0693650245666504s
Received healthy response to inference request in 0.8103275299072266s
Received healthy response to inference request in 0.4124622344970703s
Received healthy response to inference request in 0.29575300216674805s
Received healthy response to inference request in 1.1064722537994385s
5 requests
0 failed requests
5th percentile: 0.3190948486328125
10th percentile: 0.342436695098877
20th percentile: 0.38912038803100585
30th percentile: 0.49203529357910153
40th percentile: 0.6511814117431641
50th percentile: 0.8103275299072266
60th percentile: 0.913942527770996
70th percentile: 1.0175575256347655
80th percentile: 1.076786470413208
90th percentile: 1.0916293621063233
95th percentile: 1.099050807952881
99th percentile: 1.104987964630127
mean time: 0.7388760089874268
Pipeline stage StressChecker completed in 4.41s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
anhnv125-mistral-test_v2 status is now deployed due to DeploymentManager action
anhnv125-mistral-test_v2 status is now inactive due to auto deactivation removed underperforming models

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