submission_id: cgato-thespis-swiftdawn-7b_v1
developer_uid: c.gato
status: inactive
model_repo: cgato/Thespis-SwiftDawn-7b
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, '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}:'}
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: 2024-03-09T12:10:29+00:00
model_name: Thespis-SwiftDawn
model_eval_status: success
safety_score: 0.88
entertaining: 7.12
stay_in_character: 8.29
user_preference: 7.44
double_thumbs_up: 1853
thumbs_up: 2860
thumbs_down: 1236
num_battles: 112297
num_wins: 58933
win_ratio: 0.5247958538518394
celo_rating: 1175.32
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespis-swiftdawn-7b-v1-mkmlizer
Waiting for job on cgato-thespis-swiftdawn-7b-v1-mkmlizer to finish
cgato-thespis-swiftdawn-7b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespis-swiftdawn-7b-v1-mkmlizer: ║ _____ __ __ ║
cgato-thespis-swiftdawn-7b-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespis-swiftdawn-7b-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespis-swiftdawn-7b-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespis-swiftdawn-7b-v1-mkmlizer: ║ /___/ ║
cgato-thespis-swiftdawn-7b-v1-mkmlizer: ║ ║
cgato-thespis-swiftdawn-7b-v1-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespis-swiftdawn-7b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespis-swiftdawn-7b-v1-mkmlizer: ║ ║
cgato-thespis-swiftdawn-7b-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespis-swiftdawn-7b-v1-mkmlizer: ║ belonging to: ║
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cgato-thespis-swiftdawn-7b-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-thespis-swiftdawn-7b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespis-swiftdawn-7b-v1-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
cgato-thespis-swiftdawn-7b-v1-mkmlizer: ║ ║
cgato-thespis-swiftdawn-7b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cgato-thespis-swiftdawn-7b-v1-mkmlizer: Downloaded to shared memory in 21.964s
cgato-thespis-swiftdawn-7b-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespis-swiftdawn-7b-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespis-swiftdawn-7b-v1-mkmlizer: Reading /tmp/tmpogwe_mw3/pytorch_model.bin.index.json
cgato-thespis-swiftdawn-7b-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:02<14:01, 2.90s/it] Profiling: 34%|███▎ | 98/291 [00:03<00:05, 32.41it/s] Profiling: 70%|███████ | 204/291 [00:04<00:01, 58.04it/s] Profiling: 100%|██████████| 291/291 [00:06<00:00, 60.55it/s] Profiling: 100%|██████████| 291/291 [00:06<00:00, 47.47it/s]
cgato-thespis-swiftdawn-7b-v1-mkmlizer: quantized model in 17.031s
cgato-thespis-swiftdawn-7b-v1-mkmlizer: Processed model cgato/Thespis-SwiftDawn-7b in 39.858s
cgato-thespis-swiftdawn-7b-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespis-swiftdawn-7b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespis-swiftdawn-7b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespis-swiftdawn-7b-v1
cgato-thespis-swiftdawn-7b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespis-swiftdawn-7b-v1/config.json
cgato-thespis-swiftdawn-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespis-swiftdawn-7b-v1/tokenizer_config.json
cgato-thespis-swiftdawn-7b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespis-swiftdawn-7b-v1/special_tokens_map.json
cgato-thespis-swiftdawn-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespis-swiftdawn-7b-v1/tokenizer.json
cgato-thespis-swiftdawn-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespis-swiftdawn-7b-v1/tokenizer.model
cgato-thespis-swiftdawn-7b-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespis-swiftdawn-7b-v1/mkml_model.tensors
cgato-thespis-swiftdawn-7b-v1-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
cgato-thespis-swiftdawn-7b-v1-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.
cgato-thespis-swiftdawn-7b-v1-mkmlizer: warnings.warn(
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cgato-thespis-swiftdawn-7b-v1-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.
cgato-thespis-swiftdawn-7b-v1-mkmlizer: warnings.warn(
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cgato-thespis-swiftdawn-7b-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespis-swiftdawn-7b-v1-mkmlizer: Saving duration: 0.234s
cgato-thespis-swiftdawn-7b-v1-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 4.990s
cgato-thespis-swiftdawn-7b-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-thespis-swiftdawn-7b-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespis-swiftdawn-7b-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespis-swiftdawn-7b-v1_reward
cgato-thespis-swiftdawn-7b-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespis-swiftdawn-7b-v1_reward/config.json
cgato-thespis-swiftdawn-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespis-swiftdawn-7b-v1_reward/tokenizer_config.json
cgato-thespis-swiftdawn-7b-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespis-swiftdawn-7b-v1_reward/merges.txt
cgato-thespis-swiftdawn-7b-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespis-swiftdawn-7b-v1_reward/special_tokens_map.json
cgato-thespis-swiftdawn-7b-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespis-swiftdawn-7b-v1_reward/vocab.json
cgato-thespis-swiftdawn-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespis-swiftdawn-7b-v1_reward/tokenizer.json
cgato-thespis-swiftdawn-7b-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespis-swiftdawn-7b-v1_reward/reward.tensors
Job cgato-thespis-swiftdawn-7b-v1-mkmlizer completed after 64.19s with status: succeeded
Stopping job with name cgato-thespis-swiftdawn-7b-v1-mkmlizer
Pipeline stage MKMLizer completed in 67.37s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespis-swiftdawn-7b-v1
Waiting for inference service cgato-thespis-swiftdawn-7b-v1 to be ready
Inference service cgato-thespis-swiftdawn-7b-v1 ready after 40.26905107498169s
Pipeline stage ISVCDeployer completed in 47.26s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.692884922027588s
Received healthy response to inference request in 1.1834113597869873s
Received healthy response to inference request in 1.2201356887817383s
Received healthy response to inference request in 1.2140252590179443s
Received healthy response to inference request in 1.206200122833252s
5 requests
0 failed requests
5th percentile: 1.1879691123962401
10th percentile: 1.1925268650054932
20th percentile: 1.2016423702239991
30th percentile: 1.2077651500701905
40th percentile: 1.2108952045440673
50th percentile: 1.2140252590179443
60th percentile: 1.2164694309234618
70th percentile: 1.2189136028289795
80th percentile: 1.3146855354309084
90th percentile: 1.5037852287292481
95th percentile: 1.5983350753784178
99th percentile: 1.6739749526977539
mean time: 1.303331470489502
Pipeline stage StressChecker completed in 7.44s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.05s
Running M-Eval for topic stay_in_character
M-Eval Dataset for topic stay_in_character is loaded
cgato-thespis-swiftdawn-7b_v1 status is now inactive due to auto deactivation removed underperforming models

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