submission_id: hastagaras-lm3-8b-lightu_8626_v1
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/lm3-8b-lightune-alt
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, '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 roleplay with `{user_name}`.\n\nYour persona as {bot_name}: {memory}\n\n', 'prompt_template': 'Your example message as {bot_name}: {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: 2024-05-09T06:43:59+00:00
model_name: hastagaras-lm3-8b-lightu_8626_v1
model_eval_status: pending
double_thumbs_up: 154
thumbs_up: 210
thumbs_down: 95
num_battles: 14590
num_wins: 7603
celo_rating: 1185.76
entertaining: None
stay_in_character: None
user_preference: None
safety_score: 0.95
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-lightu_8626_v1
double_thumbs_up_ratio: 0.3355119825708061
feedback_count: 459
ineligible_reason: None
language_model: Hastagaras/lm3-8b-lightune-alt
model_score: None
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.45751633986928103
thumbs_down_ratio: 0.20697167755991286
thumbs_up_ratio: 0.7930283224400871
us_pacific_date: 2024-05-08
win_ratio: 0.5211103495544894
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-lm3-8b-lightu-8626-v1-mkmlizer
Waiting for job on hastagaras-lm3-8b-lightu-8626-v1-mkmlizer to finish
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: ║ /___/ ║
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: ║ ║
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: ║ Version: 0.8.10 ║
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-lm3-8b-lightu-8626-v1-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-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: Downloaded to shared memory in 28.393s
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 43%|████▎ | 124/291 [00:01<00:01, 124.00it/s] Loading 0: 88%|████████▊ | 256/291 [00:02<00:00, 128.26it/s] Loading 0: 99%|█████████▊| 287/291 [00:07<00:00, 28.02it/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-v1-mkmlizer: quantized model in 22.049s
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: Processed model Hastagaras/lm3-8b-lightune-alt in 52.865s
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-lm3-8b-lightu-8626-v1
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-lm3-8b-lightu-8626-v1/config.json
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-lm3-8b-lightu-8626-v1/special_tokens_map.json
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-lm3-8b-lightu-8626-v1/tokenizer_config.json
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-lm3-8b-lightu-8626-v1/tokenizer.json
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-lm3-8b-lightu-8626-v1/flywheel_model.0.safetensors
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-lm3-8b-lightu-8626-v1-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-v1-mkmlizer: warnings.warn(
hastagaras-lm3-8b-lightu-8626-v1-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-v1-mkmlizer: warnings.warn(
hastagaras-lm3-8b-lightu-8626-v1-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-v1-mkmlizer: warnings.warn(
hastagaras-lm3-8b-lightu-8626-v1-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-v1-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: Saving duration: 0.382s
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.002s
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: creating bucket guanaco-reward-models
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-lm3-8b-lightu-8626-v1_reward
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-lm3-8b-lightu-8626-v1_reward/config.json
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-lm3-8b-lightu-8626-v1_reward/special_tokens_map.json
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-lm3-8b-lightu-8626-v1_reward/tokenizer_config.json
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-lm3-8b-lightu-8626-v1_reward/vocab.json
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-lm3-8b-lightu-8626-v1_reward/merges.txt
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-lm3-8b-lightu-8626-v1_reward/tokenizer.json
hastagaras-lm3-8b-lightu-8626-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-lm3-8b-lightu-8626-v1_reward/reward.tensors
Job hastagaras-lm3-8b-lightu-8626-v1-mkmlizer completed after 123.75s with status: succeeded
Stopping job with name hastagaras-lm3-8b-lightu-8626-v1-mkmlizer
Pipeline stage MKMLizer completed in 126.78s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.15s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-lm3-8b-lightu-8626-v1
Waiting for inference service hastagaras-lm3-8b-lightu-8626-v1 to be ready
Inference service hastagaras-lm3-8b-lightu-8626-v1 ready after 20.11965250968933s
Pipeline stage ISVCDeployer completed in 35.39s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.030729293823242s
Received healthy response to inference request in 0.8067739009857178s
Received healthy response to inference request in 1.2721381187438965s
Received healthy response to inference request in 1.2598927021026611s
Received healthy response to inference request in 1.2994108200073242s
5 requests
0 failed requests
5th percentile: 0.8973976612091065
10th percentile: 0.9880214214324952
20th percentile: 1.1692689418792725
30th percentile: 1.2623417854309082
40th percentile: 1.2672399520874023
50th percentile: 1.2721381187438965
60th percentile: 1.2830471992492676
70th percentile: 1.2939562797546387
80th percentile: 1.445674514770508
90th percentile: 1.738201904296875
95th percentile: 1.8844655990600585
99th percentile: 2.0014765548706053
mean time: 1.3337889671325684
Pipeline stage StressChecker completed in 7.30s
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_v1 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
hastagaras-lm3-8b-lightu_8626_v1 status is now inactive due to auto deactivation removed underperforming models

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