submission_id: cgato-chaispice-7b-ft-v0-1_v1
developer_uid: c.gato
status: torndown
model_repo: cgato/ChaiSpice-7b-FT-v0.1
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{bot_name} responds in a single line.\n{bot_name} gives very short replies.\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{bot_name} responds in a single line.\n{bot_name} gives very short replies.\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: 2024-04-06T18:50:44+00:00
model_name: cgato-chaispice-7b-ft-v0-1_v1
model_eval_status: success
model_group: cgato/ChaiSpice-7b-FT-v0
num_battles: 137414
num_wins: 70140
celo_rating: 1167.06
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-chaispice-7b-ft-v0-1_v1
ineligible_reason: propriety_total_count < 800
language_model: cgato/ChaiSpice-7b-FT-v0.1
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-06
win_ratio: 0.5104283406348699
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-chaispice-7b-ft-v0-1-v1-mkmlizer
Waiting for job on cgato-chaispice-7b-ft-v0-1-v1-mkmlizer to finish
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ║ _____ __ __ ║
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ║ /___/ ║
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ║ ║
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ║ Version: 0.6.11 ║
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ║ ║
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ║ belonging to: ║
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ║ ║
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ║ ║
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: Downloaded to shared memory in 26.248s
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: Reading /tmp/tmpesq0l65f/model.safetensors.index.json
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:01<06:51, 1.42s/it] Profiling: 4%|▍ | 13/291 [00:01<00:24, 11.47it/s] Profiling: 9%|▉ | 27/291 [00:01<00:10, 25.66it/s] Profiling: 13%|█▎ | 37/291 [00:01<00:07, 35.60it/s] Profiling: 17%|█▋ | 50/291 [00:01<00:04, 50.79it/s] Profiling: 22%|██▏ | 64/291 [00:01<00:03, 66.33it/s] Profiling: 27%|██▋ | 78/291 [00:02<00:02, 81.51it/s] Profiling: 31%|███▏ | 91/291 [00:02<00:02, 90.88it/s] Profiling: 36%|███▌ | 104/291 [00:02<00:03, 58.10it/s] Profiling: 40%|███▉ | 116/291 [00:02<00:02, 68.06it/s] Profiling: 43%|████▎ | 126/291 [00:02<00:02, 73.95it/s] Profiling: 48%|████▊ | 139/291 [00:02<00:01, 82.81it/s] Profiling: 52%|█████▏ | 150/291 [00:03<00:01, 85.17it/s] Profiling: 57%|█████▋ | 165/291 [00:03<00:01, 96.58it/s] Profiling: 60%|██████ | 176/291 [00:03<00:01, 89.79it/s] Profiling: 65%|██████▍ | 188/291 [00:03<00:01, 95.78it/s] Profiling: 68%|██████▊ | 199/291 [00:03<00:00, 97.90it/s] Profiling: 72%|███████▏ | 210/291 [00:05<00:04, 18.43it/s] Profiling: 76%|███████▌ | 220/291 [00:05<00:03, 23.36it/s] Profiling: 79%|███████▉ | 230/291 [00:05<00:02, 29.42it/s] Profiling: 83%|████████▎ | 242/291 [00:05<00:01, 38.90it/s] Profiling: 88%|████████▊ | 256/291 [00:05<00:00, 51.21it/s] Profiling: 92%|█████████▏| 267/291 [00:05<00:00, 58.04it/s] Profiling: 96%|█████████▌| 280/291 [00:05<00:00, 69.84it/s] Profiling: 100%|██████████| 291/291 [00:06<00:00, 77.66it/s] Profiling: 100%|██████████| 291/291 [00:06<00:00, 45.55it/s]
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: quantized model in 18.718s
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: Processed model cgato/ChaiSpice-7b-FT-v0.1 in 46.306s
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-1-v1
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-1-v1/config.json
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-1-v1/special_tokens_map.json
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-1-v1/tokenizer.model
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-1-v1/tokenizer_config.json
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-1-v1/tokenizer.json
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-chaispice-7b-ft-v0-1-v1/mkml_model.tensors
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-chaispice-7b-ft-v0-1-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-chaispice-7b-ft-v0-1-v1-mkmlizer: warnings.warn(
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 9.07MB/s]
cgato-chaispice-7b-ft-v0-1-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-chaispice-7b-ft-v0-1-v1-mkmlizer: warnings.warn(
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.61MB/s]
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 31.9MB/s]
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 20.2MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 20.1MB/s]
cgato-chaispice-7b-ft-v0-1-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-chaispice-7b-ft-v0-1-v1-mkmlizer: warnings.warn(
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<01:18, 18.3MB/s] pytorch_model.bin: 5%|▌ | 73.4M/1.44G [00:00<00:09, 138MB/s] pytorch_model.bin: 11%|█ | 157M/1.44G [00:00<00:04, 289MB/s] pytorch_model.bin: 19%|█▉ | 273M/1.44G [00:00<00:02, 494MB/s] pytorch_model.bin: 28%|██▊ | 398M/1.44G [00:01<00:01, 630MB/s] pytorch_model.bin: 34%|███▍ | 493M/1.44G [00:01<00:01, 702MB/s] pytorch_model.bin: 41%|████▏ | 598M/1.44G [00:01<00:01, 785MB/s] pytorch_model.bin: 48%|████▊ | 692M/1.44G [00:02<00:03, 204MB/s] pytorch_model.bin: 53%|█████▎ | 765M/1.44G [00:02<00:03, 196MB/s] pytorch_model.bin: 78%|███████▊ | 1.13G/1.44G [00:02<00:00, 502MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:03<00:00, 474MB/s]
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: Saving duration: 0.282s
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.758s
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-chaispice-7b-ft-v0-1-v1_reward
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-chaispice-7b-ft-v0-1-v1_reward/config.json
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-chaispice-7b-ft-v0-1-v1_reward/vocab.json
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-chaispice-7b-ft-v0-1-v1_reward/merges.txt
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-chaispice-7b-ft-v0-1-v1_reward/special_tokens_map.json
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-chaispice-7b-ft-v0-1-v1_reward/tokenizer_config.json
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-chaispice-7b-ft-v0-1-v1_reward/tokenizer.json
cgato-chaispice-7b-ft-v0-1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-chaispice-7b-ft-v0-1-v1_reward/reward.tensors
Job cgato-chaispice-7b-ft-v0-1-v1-mkmlizer completed after 74.43s with status: succeeded
Stopping job with name cgato-chaispice-7b-ft-v0-1-v1-mkmlizer
Pipeline stage MKMLizer completed in 79.29s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.18s
Running pipeline stage ISVCDeployer
Creating inference service cgato-chaispice-7b-ft-v0-1-v1
Waiting for inference service cgato-chaispice-7b-ft-v0-1-v1 to be ready
Inference service cgato-chaispice-7b-ft-v0-1-v1 ready after 40.243247270584106s
Pipeline stage ISVCDeployer completed in 48.06s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8134236335754395s
Received healthy response to inference request in 1.1931993961334229s
Received healthy response to inference request in 1.194432258605957s
Received healthy response to inference request in 1.1843514442443848s
Received healthy response to inference request in 1.208251714706421s
5 requests
0 failed requests
5th percentile: 1.1861210346221924
10th percentile: 1.187890625
20th percentile: 1.1914298057556152
30th percentile: 1.1934459686279297
40th percentile: 1.1939391136169433
50th percentile: 1.194432258605957
60th percentile: 1.1999600410461426
70th percentile: 1.2054878234863282
80th percentile: 1.3292860984802246
90th percentile: 1.571354866027832
95th percentile: 1.6923892498016357
99th percentile: 1.7892167568206787
mean time: 1.318731689453125
Pipeline stage StressChecker completed in 7.36s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
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
cgato-chaispice-7b-ft-v0-1_v1 status is now deployed due to DeploymentManager action
cgato-chaispice-7b-ft-v0-1_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-chaispice-7b-ft-v0-1_v1
Running pipeline stage ISVCDeleter
Checking if service cgato-chaispice-7b-ft-v0-1-v1 is running
Tearing down inference service cgato-chaispice-7b-ft-v0-1-v1
Toredown service cgato-chaispice-7b-ft-v0-1-v1
Pipeline stage ISVCDeleter completed in 7.54s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-chaispice-7b-ft-v0-1-v1/config.json from bucket guanaco-mkml-models
Deleting key cgato-chaispice-7b-ft-v0-1-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-chaispice-7b-ft-v0-1-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-chaispice-7b-ft-v0-1-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-chaispice-7b-ft-v0-1-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-chaispice-7b-ft-v0-1-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-chaispice-7b-ft-v0-1-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-1-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-1-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-1-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-1-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-1-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-chaispice-7b-ft-v0-1-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.79s
cgato-chaispice-7b-ft-v0-1_v1 status is now torndown due to DeploymentManager action

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