submission_id: hastagaras-jamet-8b-l3-m_1276_v4
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/Jamet-8B-L3-MK.V-BR1
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.05, 'top_p': 0.95, 'min_p': 0.065, 'top_k': 75, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|begin_of_text|><|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: 2024-06-15T00:09:40+00:00
model_name: r
model_eval_status: success
model_group: Hastagaras/Jamet-8B-L3-M
num_battles: 18672
num_wins: 9623
celo_rating: 1204.17
propriety_score: 0.6950034698126302
propriety_total_count: 8646.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: r
ineligible_reason: None
language_model: Hastagaras/Jamet-8B-L3-MK.V-BR1
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-14
win_ratio: 0.5153706083976007
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer
Waiting for job on hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer to finish
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: ║ Version: 0.8.14 ║
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hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-jamet-8b-l3-m-1276-v4-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-1276-v4-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: Downloaded to shared memory in 36.092s
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<11:16, 2.34s/it] Loading 0: 5%|▌ | 15/291 [00:04<01:04, 4.25it/s] Loading 0: 11%|█ | 32/291 [00:04<00:23, 10.95it/s] Loading 0: 17%|█▋ | 49/291 [00:04<00:12, 19.61it/s] Loading 0: 22%|██▏ | 63/291 [00:05<00:09, 22.83it/s] Loading 0: 27%|██▋ | 78/291 [00:05<00:06, 32.37it/s] Loading 0: 33%|███▎ | 95/291 [00:05<00:04, 45.80it/s] Loading 0: 39%|███▉ | 113/291 [00:05<00:02, 61.22it/s] Loading 0: 45%|████▌ | 131/291 [00:05<00:02, 77.54it/s] Loading 0: 51%|█████ | 148/291 [00:05<00:01, 92.50it/s] Loading 0: 56%|█████▋ | 164/291 [00:06<00:01, 102.02it/s] Loading 0: 62%|██████▏ | 179/291 [00:06<00:01, 68.58it/s] Loading 0: 67%|██████▋ | 194/291 [00:06<00:01, 80.96it/s] Loading 0: 73%|███████▎ | 211/291 [00:06<00:00, 96.96it/s] Loading 0: 77%|███████▋ | 225/291 [00:06<00:00, 95.73it/s] Loading 0: 82%|████████▏ | 240/291 [00:06<00:00, 104.63it/s] Loading 0: 89%|████████▊ | 258/291 [00:07<00:00, 118.77it/s] Loading 0: 93%|█████████▎| 272/291 [00:07<00:00, 78.76it/s] Loading 0: 98%|█████████▊| 285/291 [00:07<00:00, 87.74it/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-1276-v4-mkmlizer: quantized model in 23.663s
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: Processed model Hastagaras/Jamet-8B-L3-MK.V-BR1 in 62.495s
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-1276-v4
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-1276-v4/config.json
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-1276-v4/tokenizer_config.json
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-1276-v4/special_tokens_map.json
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-1276-v4/tokenizer.json
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-1276-v4/flywheel_model.0.safetensors
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-jamet-8b-l3-m-1276-v4-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-1276-v4-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-1276-v4-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-1276-v4-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-1276-v4-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-1276-v4-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-1276-v4-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-1276-v4-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: Saving duration: 0.405s
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.702s
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: creating bucket guanaco-reward-models
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-1276-v4_reward
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-1276-v4_reward/config.json
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-1276-v4_reward/special_tokens_map.json
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-1276-v4_reward/tokenizer_config.json
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-1276-v4_reward/merges.txt
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-1276-v4_reward/vocab.json
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-1276-v4_reward/tokenizer.json
hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-1276-v4_reward/reward.tensors
Job hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer completed after 93.49s with status: succeeded
Stopping job with name hastagaras-jamet-8b-l3-m-1276-v4-mkmlizer
Pipeline stage MKMLizer completed in 98.26s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-jamet-8b-l3-m-1276-v4
Waiting for inference service hastagaras-jamet-8b-l3-m-1276-v4 to be ready
Inference service hastagaras-jamet-8b-l3-m-1276-v4 ready after 30.174335956573486s
Pipeline stage ISVCDeployer completed in 38.10s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.213644027709961s
Received healthy response to inference request in 1.340057134628296s
Received healthy response to inference request in 1.3059110641479492s
Received healthy response to inference request in 1.2738409042358398s
Received healthy response to inference request in 1.3340556621551514s
5 requests
0 failed requests
5th percentile: 1.2802549362182618
10th percentile: 1.2866689682006835
20th percentile: 1.2994970321655273
30th percentile: 1.3115399837493897
40th percentile: 1.3227978229522706
50th percentile: 1.3340556621551514
60th percentile: 1.3364562511444091
70th percentile: 1.338856840133667
80th percentile: 1.514774513244629
90th percentile: 1.864209270477295
95th percentile: 2.0389266490936278
99th percentile: 2.178700551986694
mean time: 1.4935017585754395
Pipeline stage StressChecker completed in 8.07s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
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
hastagaras-jamet-8b-l3-m_1276_v4 status is now deployed due to DeploymentManager action
hastagaras-jamet-8b-l3-m_1276_v4 status is now inactive due to auto deactivation removed underperforming models

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