submission_id: hastagaras-jamet-8b-l3-mk-ii_v2
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/Jamet-8B-L3-MK.II
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, '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': "<|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{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: 2024-06-05T02:03:01+00:00
model_name: jmetmk2
model_eval_status: success
model_group: Hastagaras/Jamet-8B-L3-M
num_battles: 17854
num_wins: 9721
celo_rating: 1213.42
safety_score: 0.87
propriety_score: 0.6565656565656566
propriety_total_count: 594.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: jmetmk2
ineligible_reason: propriety_total_count < 5000
language_model: Hastagaras/Jamet-8B-L3-MK.II
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-04
win_ratio: 0.5444718270415593
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer
Waiting for job on hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer to finish
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: ║ Version: 0.8.14 ║
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: Downloaded to shared memory in 18.111s
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:02, 120.81it/s] Loading 0: 12%|█▏ | 35/291 [00:00<00:01, 174.46it/s] Loading 0: 20%|█▉ | 58/291 [00:00<00:01, 191.38it/s] Loading 0: 27%|██▋ | 79/291 [00:00<00:01, 198.08it/s] Loading 0: 34%|███▍ | 99/291 [00:00<00:01, 101.45it/s] Loading 0: 42%|████▏ | 121/291 [00:00<00:01, 124.41it/s] Loading 0: 50%|█████ | 146/291 [00:00<00:00, 152.48it/s] Loading 0: 57%|█████▋ | 166/291 [00:01<00:00, 162.65it/s] Loading 0: 64%|██████▍ | 187/291 [00:01<00:00, 109.53it/s] Loading 0: 70%|██████▉ | 203/291 [00:01<00:00, 118.04it/s] Loading 0: 78%|███████▊ | 228/291 [00:01<00:00, 143.39it/s] Loading 0: 85%|████████▌ | 248/291 [00:01<00:00, 153.87it/s] Loading 0: 94%|█████████▍| 273/291 [00:01<00:00, 173.46it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: quantized model in 19.821s
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: Processed model Hastagaras/Jamet-8B-L3-MK.II in 38.875s
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-ii-v2
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-ii-v2/special_tokens_map.json
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-ii-v2/config.json
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-ii-v2/tokenizer_config.json
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-ii-v2/tokenizer.json
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-ii-v2/flywheel_model.0.safetensors
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: Saving duration: 0.240s
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.904s
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: creating bucket guanaco-reward-models
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-ii-v2_reward
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-ii-v2_reward/config.json
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-ii-v2_reward/tokenizer_config.json
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-ii-v2_reward/special_tokens_map.json
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-ii-v2_reward/merges.txt
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-ii-v2_reward/vocab.json
hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-ii-v2_reward/tokenizer.json
Job hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer completed after 62.92s with status: succeeded
Stopping job with name hastagaras-jamet-8b-l3-mk-ii-v2-mkmlizer
Pipeline stage MKMLizer completed in 67.18s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-jamet-8b-l3-mk-ii-v2
Waiting for inference service hastagaras-jamet-8b-l3-mk-ii-v2 to be ready
Inference service hastagaras-jamet-8b-l3-mk-ii-v2 ready after 30.19346261024475s
Pipeline stage ISVCDeployer completed in 37.80s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1377346515655518s
Received healthy response to inference request in 1.3372974395751953s
Received healthy response to inference request in 1.3138670921325684s
Received healthy response to inference request in 1.3055393695831299s
Received healthy response to inference request in 1.253145456314087s
5 requests
0 failed requests
5th percentile: 1.2636242389678956
10th percentile: 1.2741030216217042
20th percentile: 1.2950605869293212
30th percentile: 1.3072049140930175
40th percentile: 1.310536003112793
50th percentile: 1.3138670921325684
60th percentile: 1.323239231109619
70th percentile: 1.33261137008667
80th percentile: 1.4973848819732667
90th percentile: 1.8175597667694092
95th percentile: 1.9776472091674804
99th percentile: 2.1057171630859375
mean time: 1.4695168018341065
Pipeline stage StressChecker completed in 8.41s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.07s
hastagaras-jamet-8b-l3-mk-ii_v2 status is now deployed due to DeploymentManager action
hastagaras-jamet-8b-l3-mk-ii_v2 status is now inactive due to auto deactivation removed underperforming models

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