submission_id: cgato-thespice-7b-ft-ins_9069_v1
developer_uid: c.gato
status: torndown
model_repo: cgato/TheSpice-7b-FT-InstructExperiment
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: 2024-03-28T11:12:45+00:00
model_name: cgato-thespice-7b-ft-ins_9069_v1
model_eval_status: success
model_group: cgato/TheSpice-7b-FT-Ins
num_battles: 57158
num_wins: 29367
celo_rating: 1166.81
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cgato-thespice-7b-ft-ins_9069_v1
ineligible_reason: propriety_total_count < 800
language_model: cgato/TheSpice-7b-FT-InstructExperiment
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-03-28
win_ratio: 0.5137863466181462
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-ft-ins-9069-v1-mkmlizer
Waiting for job on cgato-thespice-7b-ft-ins-9069-v1-mkmlizer to finish
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ║ /___/ ║
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ║ ║
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ║ ║
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ║ ║
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ║ ║
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: Downloaded to shared memory in 29.354s
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: Reading /tmp/tmpg32e5xpu/model.safetensors.index.json
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<05:49, 1.21s/it] Profiling: 5%|▍ | 14/291 [00:01<00:19, 14.31it/s] Profiling: 10%|▉ | 29/291 [00:01<00:08, 31.74it/s] Profiling: 16%|█▌ | 46/291 [00:01<00:04, 52.84it/s] Profiling: 22%|██▏ | 63/291 [00:01<00:03, 73.66it/s] Profiling: 27%|██▋ | 78/291 [00:01<00:02, 88.68it/s] Profiling: 32%|███▏ | 93/291 [00:01<00:01, 100.43it/s] Profiling: 37%|███▋ | 108/291 [00:02<00:02, 77.77it/s] Profiling: 42%|████▏ | 122/291 [00:02<00:01, 89.46it/s] Profiling: 48%|████▊ | 140/291 [00:02<00:01, 106.22it/s] Profiling: 54%|█████▍ | 158/291 [00:02<00:01, 119.75it/s] Profiling: 60%|██████ | 176/291 [00:02<00:00, 130.30it/s] Profiling: 67%|██████▋ | 194/291 [00:02<00:00, 138.57it/s] Profiling: 72%|███████▏ | 210/291 [00:04<00:02, 31.07it/s] Profiling: 76%|███████▋ | 222/291 [00:04<00:01, 37.47it/s] Profiling: 82%|████████▏ | 239/291 [00:04<00:01, 49.93it/s] Profiling: 88%|████████▊ | 256/291 [00:04<00:00, 64.03it/s] Profiling: 93%|█████████▎| 271/291 [00:04<00:00, 76.19it/s] Profiling: 98%|█████████▊| 286/291 [00:04<00:00, 87.47it/s] Profiling: 100%|██████████| 291/291 [00:04<00:00, 59.27it/s]
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: quantized model in 16.638s
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: Processed model cgato/TheSpice-7b-FT-InstructExperiment in 46.813s
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-9069-v1
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-9069-v1/config.json
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-9069-v1/special_tokens_map.json
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-9069-v1/tokenizer_config.json
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-9069-v1/tokenizer.model
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-9069-v1/tokenizer.json
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-ft-ins-9069-v1/mkml_model.tensors
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-ft-ins-9069-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-thespice-7b-ft-ins-9069-v1-mkmlizer: warnings.warn(
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cgato-thespice-7b-ft-ins-9069-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-thespice-7b-ft-ins-9069-v1-mkmlizer: warnings.warn(
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cgato-thespice-7b-ft-ins-9069-v1-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-thespice-7b-ft-ins-9069-v1-mkmlizer: warnings.warn(
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:01<03:00, 7.96MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:02<03:11, 7.45MB/s] pytorch_model.bin: 2%|▏ | 31.5M/1.44G [00:02<01:51, 12.7MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:03<01:30, 15.5MB/s] pytorch_model.bin: 8%|▊ | 115M/1.44G [00:03<00:18, 70.2MB/s] pytorch_model.bin: 12%|█▏ | 178M/1.44G [00:03<00:10, 125MB/s] pytorch_model.bin: 21%|██ | 304M/1.44G [00:03<00:04, 264MB/s] pytorch_model.bin: 60%|██████ | 870M/1.44G [00:03<00:00, 1.07GB/s] pytorch_model.bin: 85%|████████▍ | 1.23G/1.44G [00:03<00:00, 1.33GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:04<00:00, 348MB/s]
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: Saving duration: 0.281s
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 9.067s
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-9069-v1_reward
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-9069-v1_reward/config.json
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-9069-v1_reward/special_tokens_map.json
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-9069-v1_reward/tokenizer_config.json
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-9069-v1_reward/merges.txt
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-9069-v1_reward/vocab.json
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-9069-v1_reward/tokenizer.json
cgato-thespice-7b-ft-ins-9069-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-ft-ins-9069-v1_reward/reward.tensors
Job cgato-thespice-7b-ft-ins-9069-v1-mkmlizer completed after 76.81s with status: succeeded
Stopping job with name cgato-thespice-7b-ft-ins-9069-v1-mkmlizer
Pipeline stage MKMLizer completed in 82.81s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-ft-ins-9069-v1
Waiting for inference service cgato-thespice-7b-ft-ins-9069-v1 to be ready
Inference service cgato-thespice-7b-ft-ins-9069-v1 ready after 40.23585891723633s
Pipeline stage ISVCDeployer completed in 47.78s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.787611484527588s
Received healthy response to inference request in 1.2887041568756104s
Received healthy response to inference request in 1.172419786453247s
Received healthy response to inference request in 1.188967227935791s
%s, retrying in %s seconds...
Received healthy response to inference request in 10.424115896224976s
Received healthy response to inference request in 1.1828410625457764s
Received healthy response to inference request in 1.1878809928894043s
Received healthy response to inference request in 1.1839172840118408s
Received healthy response to inference request in 1.1940562725067139s
5 requests
0 failed requests
5th percentile: 1.1830563068389892
10th percentile: 1.183271551132202
20th percentile: 1.183702039718628
30th percentile: 1.1847100257873535
40th percentile: 1.186295509338379
50th percentile: 1.1878809928894043
60th percentile: 1.1903511047363282
70th percentile: 1.192821216583252
80th percentile: 3.040068197250368
90th percentile: 6.732092046737671
95th percentile: 8.578103971481323
99th percentile: 10.054913511276245
mean time: 3.0345623016357424
Pipeline stage StressChecker completed in 41.87s
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 0.07s
M-Eval Dataset for topic stay_in_character is loaded
cgato-thespice-7b-ft-ins_9069_v1 status is now deployed due to DeploymentManager action
cgato-thespice-7b-ft-ins_9069_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thespice-7b-ft-ins_9069_v1
Running pipeline stage ISVCDeleter
Checking if service cgato-thespice-7b-ft-ins-9069-v1 is running
Tearing down inference service cgato-thespice-7b-ft-ins-9069-v1
Toredown service cgato-thespice-7b-ft-ins-9069-v1
Pipeline stage ISVCDeleter completed in 8.19s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thespice-7b-ft-ins-9069-v1/config.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-ins-9069-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-ins-9069-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-ins-9069-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-ins-9069-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-ft-ins-9069-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thespice-7b-ft-ins-9069-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-ins-9069-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-ins-9069-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-ins-9069-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-ins-9069-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-ins-9069-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-ft-ins-9069-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.44s
cgato-thespice-7b-ft-ins_9069_v1 status is now torndown due to DeploymentManager action

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