submission_id: thanhdaonguyen-thanhdaorp-281_v3
developer_uid: chai_backend_admin
status: inactive
model_repo: thanhdaonguyen/thanhdaorp-2812
reward_repo: rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99
generation_params: {'temperature': 0.75, 'top_p': 0.8, 'top_k': 40, 'presence_penalty': 0.2, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>', '<|im_end|>', '###'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '### Instruction:\n\nEnter roleplay mode. You are {bot_name}.\n\n{memory}\n\n', 'prompt_template': 'Example session #1:\n```\n{prompt}\n```\n\n### Input:\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '\n### Response:\n{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: 2024-03-02T23:45:24+00:00
model_name: thanhdaonguyen-thanhdaorp-281_v3
model_eval_status: success
safety_score: 0.99
entertaining: 7.08
stay_in_character: 8.69
user_preference: 7.48
double_thumbs_up: 4984
thumbs_up: 7690
thumbs_down: 3895
num_battles: 361556
num_wins: 192063
win_ratio: 0.5312123156578787
celo_rating: 1178.82
Resubmit model
Running pipeline stage MKMLizer
Starting job with name thanhdaonguyen-thanhdaorp-281-v3-mkmlizer
Waiting for job on thanhdaonguyen-thanhdaorp-281-v3-mkmlizer to finish
Stopping job with name thanhdaonguyen-thanhdaorp-281-v3-mkmlizer
%s, retrying in %s seconds...
Starting job with name thanhdaonguyen-thanhdaorp-281-v3-mkmlizer
Waiting for job on thanhdaonguyen-thanhdaorp-281-v3-mkmlizer to finish
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ║ _____ __ __ ║
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ║ /___/ ║
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ║ ║
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ║ Version: 0.6.11 ║
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ║ ║
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ║ The license key for the current software has been verified as ║
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ║ belonging to: ║
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ║ ║
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ║ Chai Research Corp. ║
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ║ ║
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: Downloaded to shared memory in 25.329s
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: quantizing model to /dev/shm/model_cache
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: Saving mkml model at /dev/shm/model_cache
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: Reading /tmp/tmpemnze6lv/model.safetensors.index.json
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thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: quantized model in 17.543s
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: Processed model thanhdaonguyen/thanhdaorp-2812 in 43.784s
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/thanhdaonguyen-thanhdaorp-281-v3
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/thanhdaonguyen-thanhdaorp-281-v3/tokenizer_config.json
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/thanhdaonguyen-thanhdaorp-281-v3/tokenizer.json
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/thanhdaonguyen-thanhdaorp-281-v3/tokenizer.model
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/thanhdaonguyen-thanhdaorp-281-v3/config.json
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/thanhdaonguyen-thanhdaorp-281-v3/special_tokens_map.json
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/thanhdaonguyen-thanhdaorp-281-v3/mkml_model.tensors
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: loading reward model from rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99
thanhdaonguyen-thanhdaorp-281-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.
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: warnings.warn(
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: config.json: 0%| | 0.00/983 [00:00<?, ?B/s] config.json: 100%|██████████| 983/983 [00:00<00:00, 11.5MB/s]
thanhdaonguyen-thanhdaorp-281-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.
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: warnings.warn(
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thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: merges.txt: 0%| | 0.00/456k [00:00<?, ?B/s] merges.txt: 100%|██████████| 456k/456k [00:00<00:00, 18.8MB/s]
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thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: model.safetensors.index.json: 0%| | 0.00/10.5k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 10.5k/10.5k [00:00<00:00, 93.6MB/s]
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: Downloading shards: 0%| | 0/1 [00:00<?, ?it/s]
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thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: model-00001-of-00001.safetensors: 4%|▍ | 10.5M/249M [00:00<00:13, 17.9MB/s]
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: model-00001-of-00001.safetensors: 8%|▊ | 21.0M/249M [00:00<00:07, 28.9MB/s]
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: model-00001-of-00001.safetensors: 13%|█▎ | 31.5M/249M [00:00<00:05, 42.8MB/s]
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: model-00001-of-00001.safetensors: 33%|███▎ | 81.1M/249M [00:01<00:01, 132MB/s]  model-00001-of-00001.safetensors: 100%|█████████▉| 249M/249M [00:01<00:00, 226MB/s]
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: Downloading shards: 100%|██████████| 1/1 [00:01<00:00, 1.46s/it] Downloading shards: 100%|██████████| 1/1 [00:01<00:00, 1.46s/it]
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: Saving duration: 0.085s
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: Processed model rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99 in 3.815s
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: creating bucket guanaco-reward-models
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/thanhdaonguyen-thanhdaorp-281-v3_reward
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/thanhdaonguyen-thanhdaorp-281-v3_reward/config.json
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/thanhdaonguyen-thanhdaorp-281-v3_reward/special_tokens_map.json
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/thanhdaonguyen-thanhdaorp-281-v3_reward/merges.txt
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/thanhdaonguyen-thanhdaorp-281-v3_reward/vocab.json
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/thanhdaonguyen-thanhdaorp-281-v3_reward/tokenizer_config.json
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/thanhdaonguyen-thanhdaorp-281-v3_reward/tokenizer.json
thanhdaonguyen-thanhdaorp-281-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/thanhdaonguyen-thanhdaorp-281-v3_reward/reward.tensors
Job thanhdaonguyen-thanhdaorp-281-v3-mkmlizer completed after 74.97s with status: succeeded
Stopping job with name thanhdaonguyen-thanhdaorp-281-v3-mkmlizer
Pipeline stage MKMLizer completed in 81.00s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service thanhdaonguyen-thanhdaorp-281-v3
Waiting for inference service thanhdaonguyen-thanhdaorp-281-v3 to be ready
Inference service thanhdaonguyen-thanhdaorp-281-v3 ready after 281.9425275325775s
Pipeline stage ISVCDeployer completed in 289.98s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7165782451629639s
Received healthy response to inference request in 1.217613697052002s
Received healthy response to inference request in 1.2280282974243164s
Received healthy response to inference request in 1.4201629161834717s
Received healthy response to inference request in 1.4686822891235352s
5 requests
0 failed requests
5th percentile: 1.219696617126465
10th percentile: 1.2217795372009277
20th percentile: 1.2259453773498534
30th percentile: 1.2664552211761475
40th percentile: 1.3433090686798095
50th percentile: 1.4201629161834717
60th percentile: 1.439570665359497
70th percentile: 1.4589784145355225
80th percentile: 1.518261480331421
90th percentile: 1.6174198627471923
95th percentile: 1.666999053955078
99th percentile: 1.7066624069213867
mean time: 1.410213088989258
Pipeline stage StressChecker completed in 8.01s
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
thanhdaonguyen-thanhdaorp-281_v3 status is now inactive due to auto deactivation removed underperforming models

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