submission_id: hastagaras-lm3-8b-lightu_8626_v3
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/lm3-8b-lightune-alt
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 35, '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': '<|start_header_id|>system<|end_header_id|>\n\nYou are `{bot_name}` in this vivid and engaging roleplay with `{user_name}`.\n\nYour persona as {bot_name}: {memory}\n\n', 'prompt_template': 'Your message example: {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': '{bot_name}: {prompt}\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': 'User: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-05-09T07:15:27+00:00
model_name: hastagaras-lm3-8b-lightunedalt
model_eval_status: success
double_thumbs_up: 245
thumbs_up: 297
thumbs_down: 147
num_battles: 21584
num_wins: 11121
celo_rating: 1183.0
entertaining: 6.96
stay_in_character: 8.58
user_preference: 7.12
safety_score: 0.94
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: hastagaras-lm3-8b-lightunedalt
double_thumbs_up_ratio: 0.3555878084179971
feedback_count: 689
ineligible_reason: None
language_model: Hastagaras/lm3-8b-lightune-alt
model_score: 7.553333333333334
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.4310595065312046
thumbs_down_ratio: 0.21335268505079827
thumbs_up_ratio: 0.7866473149492017
us_pacific_date: 2024-05-09
win_ratio: 0.5152427724240178
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-lm3-8b-lightu-8626-v3-mkmlizer
Waiting for job on hastagaras-lm3-8b-lightu-8626-v3-mkmlizer to finish
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: ║ Version: 0.8.10 ║
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-lm3-8b-lightu-8626-v3-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-lm3-8b-lightu-8626-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: Downloaded to shared memory in 13.300s
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 52%|█████▏ | 152/291 [00:00<00:00, 152.19it/s] Loading 0: 99%|█████████▊| 287/291 [00:06<00:00, 37.36it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: quantized model in 17.307s
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: Processed model Hastagaras/lm3-8b-lightune-alt in 31.567s
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-lm3-8b-lightu-8626-v3
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-lm3-8b-lightu-8626-v3/config.json
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-lm3-8b-lightu-8626-v3/tokenizer_config.json
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-lm3-8b-lightu-8626-v3/special_tokens_map.json
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-lm3-8b-lightu-8626-v3/tokenizer.json
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-lm3-8b-lightu-8626-v3/flywheel_model.0.safetensors
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-lm3-8b-lightu-8626-v3-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-lm3-8b-lightu-8626-v3-mkmlizer: warnings.warn(
hastagaras-lm3-8b-lightu-8626-v3-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-lm3-8b-lightu-8626-v3-mkmlizer: warnings.warn(
hastagaras-lm3-8b-lightu-8626-v3-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-lm3-8b-lightu-8626-v3-mkmlizer: warnings.warn(
hastagaras-lm3-8b-lightu-8626-v3-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-lm3-8b-lightu-8626-v3-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: Saving duration: 0.222s
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.344s
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: creating bucket guanaco-reward-models
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-lm3-8b-lightu-8626-v3_reward
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-lm3-8b-lightu-8626-v3_reward/config.json
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-lm3-8b-lightu-8626-v3_reward/special_tokens_map.json
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-lm3-8b-lightu-8626-v3_reward/tokenizer_config.json
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-lm3-8b-lightu-8626-v3_reward/vocab.json
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-lm3-8b-lightu-8626-v3_reward/merges.txt
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-lm3-8b-lightu-8626-v3_reward/tokenizer.json
hastagaras-lm3-8b-lightu-8626-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-lm3-8b-lightu-8626-v3_reward/reward.tensors
Job hastagaras-lm3-8b-lightu-8626-v3-mkmlizer completed after 52.43s with status: succeeded
Stopping job with name hastagaras-lm3-8b-lightu-8626-v3-mkmlizer
Pipeline stage MKMLizer completed in 55.25s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-lm3-8b-lightu-8626-v3
Waiting for inference service hastagaras-lm3-8b-lightu-8626-v3 to be ready
Inference service hastagaras-lm3-8b-lightu-8626-v3 ready after 40.19359612464905s
Pipeline stage ISVCDeployer completed in 47.03s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0993220806121826s
Received healthy response to inference request in 0.8212347030639648s
Received healthy response to inference request in 0.5145814418792725s
Received healthy response to inference request in 1.1134209632873535s
Received healthy response to inference request in 0.9029240608215332s
5 requests
0 failed requests
5th percentile: 0.5759120941162109
10th percentile: 0.6372427463531494
20th percentile: 0.7599040508270264
30th percentile: 0.8375725746154785
40th percentile: 0.8702483177185059
50th percentile: 0.9029240608215332
60th percentile: 0.9871228218078613
70th percentile: 1.0713215827941893
80th percentile: 1.3106011867523195
90th percentile: 1.704961633682251
95th percentile: 1.9021418571472166
99th percentile: 2.0598860359191895
mean time: 1.0902966499328612
Pipeline stage StressChecker completed in 6.09s
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-lm3-8b-lightu_8626_v3 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
hastagaras-lm3-8b-lightu_8626_v3 status is now inactive due to auto deactivation removed underperforming models

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