submission_id: hastagaras-jamet-8b-l3-m_6628_v2
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/Jamet-8B-L3-MK.V-BR3
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 100, '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: 2024-06-06T21:15:02+00:00
model_name: br3
model_eval_status: success
model_group: Hastagaras/Jamet-8B-L3-M
num_battles: 17063
num_wins: 9343
celo_rating: 1219.4
propriety_score: 0.6907216494845361
propriety_total_count: 1164.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: br3
ineligible_reason: None
language_model: Hastagaras/Jamet-8B-L3-MK.V-BR3
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-06
win_ratio: 0.5475590458887651
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer
Waiting for job on hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer to finish
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: ║ Version: 0.8.14 ║
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hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: ║ Chai Research Corp. ║
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hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-jamet-8b-l3-m-6628-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-m-6628-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: Downloaded to shared memory in 46.505s
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<09:56, 2.06s/it] Loading 0: 5%|▌ | 15/291 [00:04<00:57, 4.80it/s] Loading 0: 11%|█ | 32/291 [00:04<00:21, 12.30it/s] Loading 0: 17%|█▋ | 49/291 [00:04<00:11, 21.84it/s] Loading 0: 22%|██▏ | 63/291 [00:04<00:09, 25.13it/s] Loading 0: 27%|██▋ | 78/291 [00:04<00:06, 35.41it/s] Loading 0: 33%|███▎ | 96/291 [00:05<00:03, 50.12it/s] Loading 0: 39%|███▉ | 114/291 [00:05<00:02, 65.80it/s] Loading 0: 45%|████▌ | 132/291 [00:05<00:01, 81.90it/s] Loading 0: 52%|█████▏ | 150/291 [00:05<00:01, 97.41it/s] Loading 0: 57%|█████▋ | 166/291 [00:05<00:01, 70.33it/s] Loading 0: 62%|██████▏ | 181/291 [00:05<00:01, 82.27it/s] Loading 0: 67%|██████▋ | 195/291 [00:06<00:01, 91.37it/s] Loading 0: 73%|███████▎ | 212/291 [00:06<00:00, 106.66it/s] Loading 0: 79%|███████▊ | 229/291 [00:06<00:00, 120.17it/s] Loading 0: 84%|████████▍ | 244/291 [00:06<00:00, 126.56it/s] Loading 0: 89%|████████▉ | 259/291 [00:06<00:00, 129.79it/s] Loading 0: 94%|█████████▍| 274/291 [00:06<00:00, 76.65it/s] Loading 0: 99%|█████████▉| 289/291 [00:06<00:00, 89.42it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: quantized model in 19.367s
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: Processed model Hastagaras/Jamet-8B-L3-MK.V-BR3 in 66.917s
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-6628-v2
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-6628-v2/config.json
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-6628-v2/special_tokens_map.json
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-6628-v2/tokenizer_config.json
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-6628-v2/tokenizer.json
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-jamet-8b-l3-m-6628-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-m-6628-v2-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-6628-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-m-6628-v2-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-6628-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-m-6628-v2-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-6628-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-m-6628-v2-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: Saving duration: 0.288s
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 9.428s
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: creating bucket guanaco-reward-models
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-6628-v2_reward
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-6628-v2_reward/config.json
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-6628-v2_reward/special_tokens_map.json
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-6628-v2_reward/tokenizer_config.json
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-6628-v2_reward/merges.txt
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-6628-v2_reward/vocab.json
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-6628-v2_reward/tokenizer.json
hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-6628-v2_reward/reward.tensors
Job hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer completed after 136.06s with status: succeeded
Stopping job with name hastagaras-jamet-8b-l3-m-6628-v2-mkmlizer
Pipeline stage MKMLizer completed in 140.67s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-jamet-8b-l3-m-6628-v2
Waiting for inference service hastagaras-jamet-8b-l3-m-6628-v2 to be ready
Inference service hastagaras-jamet-8b-l3-m-6628-v2 ready after 40.24579453468323s
Pipeline stage ISVCDeployer completed in 47.74s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.20418381690979s
Received healthy response to inference request in 1.3376059532165527s
Received healthy response to inference request in 1.3140161037445068s
Received healthy response to inference request in 1.444915771484375s
Received healthy response to inference request in 1.2637438774108887s
5 requests
0 failed requests
5th percentile: 1.2737983226776124
10th percentile: 1.283852767944336
20th percentile: 1.3039616584777831
30th percentile: 1.318734073638916
40th percentile: 1.3281700134277343
50th percentile: 1.3376059532165527
60th percentile: 1.3805298805236816
70th percentile: 1.4234538078308105
80th percentile: 1.596769380569458
90th percentile: 1.9004765987396242
95th percentile: 2.0523302078247068
99th percentile: 2.173813095092773
mean time: 1.5128931045532226
Pipeline stage StressChecker completed in 8.23s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
Running M-Eval for topic stay_in_character
hastagaras-jamet-8b-l3-m_6628_v2 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
hastagaras-jamet-8b-l3-m_6628_v2 status is now inactive due to auto deactivation removed underperforming models

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