submission_id: cgato-thespis-7b-v0-2-sfttest_v3
developer_uid: chai_backend_admin
status: deployed
model_repo: cgato/Thespis-7b-v0.2-SFTTest-3Epoch
reward_repo: rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99
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': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:'}
timestamp: 2024-03-02T23:45:44+00:00
model_name: cgato-thespis-7b-v0-2-sfttest_v3
model_eval_status: success
safety_score: 0.78
entertaining: 7.12
stay_in_character: 8.6
user_preference: 7.42
double_thumbs_up: 6839
thumbs_up: 9521
thumbs_down: 3995
num_battles: 511133
num_wins: 270937
win_ratio: 0.5300714295496476
celo_rating: 1174.18
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer
Waiting for job on cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer to finish
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: ║ _____ __ __ ║
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cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: ║ ║
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: Downloaded to shared memory in 21.491s
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: Reading /tmp/tmpcmebey2v/model.safetensors.index.json
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<09:37, 1.99s/it] Profiling: 7%|▋ | 20/291 [00:02<00:20, 13.10it/s] Profiling: 13%|█▎ | 38/291 [00:02<00:09, 27.36it/s] Profiling: 20%|██ | 59/291 [00:02<00:04, 47.19it/s] Profiling: 26%|██▌ | 75/291 [00:02<00:03, 62.25it/s] Profiling: 32%|███▏ | 94/291 [00:02<00:02, 82.77it/s] Profiling: 38%|███▊ | 111/291 [00:02<00:02, 66.95it/s] Profiling: 45%|████▍ | 130/291 [00:02<00:01, 84.93it/s] Profiling: 52%|█████▏ | 150/291 [00:03<00:01, 105.25it/s] Profiling: 60%|█████▉ | 174/291 [00:03<00:00, 130.73it/s] Profiling: 66%|██████▋ | 193/291 [00:03<00:00, 143.68it/s] Profiling: 73%|███████▎ | 212/291 [00:04<00:02, 34.96it/s] Profiling: 79%|███████▉ | 231/291 [00:04<00:01, 46.04it/s] Profiling: 87%|████████▋ | 254/291 [00:05<00:00, 63.14it/s] Profiling: 94%|█████████▍| 274/291 [00:05<00:00, 78.96it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 53.85it/s]
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: quantized model in 16.439s
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: Processed model cgato/Thespis-7b-v0.2-SFTTest-3Epoch in 38.883s
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespis-7b-v0-2-sfttest-v3
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespis-7b-v0-2-sfttest-v3/tokenizer_config.json
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespis-7b-v0-2-sfttest-v3/special_tokens_map.json
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespis-7b-v0-2-sfttest-v3/tokenizer.model
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespis-7b-v0-2-sfttest-v3/tokenizer.json
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespis-7b-v0-2-sfttest-v3/config.json
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespis-7b-v0-2-sfttest-v3/mkml_model.tensors
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: loading reward model from rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99
cgato-thespis-7b-v0-2-sfttest-v3-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-7b-v0-2-sfttest-v3-mkmlizer: warnings.warn(
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cgato-thespis-7b-v0-2-sfttest-v3-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-7b-v0-2-sfttest-v3-mkmlizer: warnings.warn(
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cgato-thespis-7b-v0-2-sfttest-v3-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.
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: warnings.warn(
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cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: Downloading shards: 0%| | 0/1 [00:00<?, ?it/s]
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: creating bucket guanaco-reward-models
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespis-7b-v0-2-sfttest-v3_reward
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespis-7b-v0-2-sfttest-v3_reward/config.json
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespis-7b-v0-2-sfttest-v3_reward/merges.txt
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespis-7b-v0-2-sfttest-v3_reward/tokenizer_config.json
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespis-7b-v0-2-sfttest-v3_reward/special_tokens_map.json
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespis-7b-v0-2-sfttest-v3_reward/vocab.json
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespis-7b-v0-2-sfttest-v3_reward/tokenizer.json
cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespis-7b-v0-2-sfttest-v3_reward/reward.tensors
Job cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer completed after 64.56s with status: succeeded
Stopping job with name cgato-thespis-7b-v0-2-sfttest-v3-mkmlizer
Pipeline stage MKMLizer completed in 68.32s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.26s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespis-7b-v0-2-sfttest-v3
Waiting for inference service cgato-thespis-7b-v0-2-sfttest-v3 to be ready
Inference service cgato-thespis-7b-v0-2-sfttest-v3 ready after 181.45692205429077s
Pipeline stage ISVCDeployer completed in 190.60s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7227776050567627s
Received healthy response to inference request in 1.1868395805358887s
Received healthy response to inference request in 1.1789040565490723s
Received healthy response to inference request in 1.1883797645568848s
Received healthy response to inference request in 1.2475860118865967s
5 requests
0 failed requests
5th percentile: 1.1804911613464355
10th percentile: 1.1820782661437987
20th percentile: 1.1852524757385254
30th percentile: 1.187147617340088
40th percentile: 1.1877636909484863
50th percentile: 1.1883797645568848
60th percentile: 1.2120622634887694
70th percentile: 1.2357447624206543
80th percentile: 1.34262433052063
90th percentile: 1.5327009677886962
95th percentile: 1.6277392864227294
99th percentile: 1.703769941329956
mean time: 1.304897403717041
Pipeline stage StressChecker completed in 7.41s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.06s
Running M-Eval for topic stay_in_character
M-Eval Dataset for topic stay_in_character is loaded

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