developer_uid: shiroe40
submission_id: cycy233-l3-bdpo-v9-c2_v1
model_name: auto
model_group: cycy233/L3-bdpo-v9-c2
status: torndown
timestamp: 2024-07-16T01:54:52+00:00
num_battles: 165416
num_wins: 80004
celo_rating: 1200.99
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-bdpo-v9-c2
model_architecture: LlamaForCausalLM
reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: auto
is_internal_developer: False
language_model: cycy233/L3-bdpo-v9-c2
model_size: 8B
ranking_group: single
us_pacific_date: 2024-07-15
win_ratio: 0.4836533346230111
generation_params: {'temperature': 0.6, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_header_id|>', '<|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: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-bdpo-v9-c2-v1-mkmlizer
Waiting for job on cycy233-l3-bdpo-v9-c2-v1-mkmlizer to finish
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║  Version: 0.9.5.post2                                               ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: Downloaded to shared memory in 34.486s
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.1.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.2.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.2.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.2.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.2.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.2.self_attn.qkv_proj.weight torch.Size([5111808])
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cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.3.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.3.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.3.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.3.self_attn.qkv_proj.weight torch.Size([5111808])
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cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.4.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.4.post_attention_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.4.self_attn.qkv_proj.weight torch.Size([5111808])
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cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
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cycy233-l3-bdpo-v9-c2-v1-mkmlizer: model.norm.weight torch.Size([4096])
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: quantized model in 29.386s
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: Processed model cycy233/L3-bdpo-v9-c2 in 63.873s
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-bdpo-v9-c2-v1
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v9-c2-v1/tokenizer.json
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v9-c2-v1/special_tokens_map.json
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v9-c2-v1/tokenizer_config.json
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v9-c2-v1/config.json
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-bdpo-v9-c2-v1/flywheel_model.0.safetensors
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:950: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-bdpo-v9-c2-v1-mkmlizer:   warnings.warn(
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:778: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-bdpo-v9-c2-v1-mkmlizer:   warnings.warn(
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:469: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-bdpo-v9-c2-v1-mkmlizer:   warnings.warn(
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: Saving duration: 2.245s
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 13.716s
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-bdpo-v9-c2-v1_reward
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v9-c2-v1_reward/tokenizer_config.json
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-bdpo-v9-c2-v1_reward/merges.txt
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v9-c2-v1_reward/config.json
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-bdpo-v9-c2-v1_reward/special_tokens_map.json
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-bdpo-v9-c2-v1_reward/vocab.json
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-bdpo-v9-c2-v1_reward/tokenizer.json
cycy233-l3-bdpo-v9-c2-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-bdpo-v9-c2-v1_reward/reward.tensors
Job cycy233-l3-bdpo-v9-c2-v1-mkmlizer completed after 107.5s with status: succeeded
Stopping job with name cycy233-l3-bdpo-v9-c2-v1-mkmlizer
Pipeline stage MKMLizer completed in 108.52s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-bdpo-v9-c2-v1
Waiting for inference service cycy233-l3-bdpo-v9-c2-v1 to be ready
Inference service cycy233-l3-bdpo-v9-c2-v1 ready after 50.22128987312317s
Pipeline stage ISVCDeployer completed in 57.29s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3553836345672607s
Received healthy response to inference request in 1.4915099143981934s
Received healthy response to inference request in 1.4692907333374023s
Received healthy response to inference request in 1.4402351379394531s
Received healthy response to inference request in 1.5593183040618896s
5 requests
0 failed requests
5th percentile: 1.4460462570190429
10th percentile: 1.4518573760986329
20th percentile: 1.4634796142578126
30th percentile: 1.4737345695495605
40th percentile: 1.482622241973877
50th percentile: 1.4915099143981934
60th percentile: 1.5186332702636718
70th percentile: 1.5457566261291504
80th percentile: 1.718531370162964
90th percentile: 2.0369575023651123
95th percentile: 2.1961705684661865
99th percentile: 2.323541021347046
mean time: 1.66314754486084
Pipeline stage StressChecker completed in 9.54s
cycy233-l3-bdpo-v9-c2_v1 status is now deployed due to DeploymentManager action
cycy233-l3-bdpo-v9-c2_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-bdpo-v9-c2_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-bdpo-v9-c2-v1 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.91s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v9-c2-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v9-c2-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v9-c2-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v9-c2-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v9-c2-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v9-c2-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v9-c2-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v9-c2-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v9-c2-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v9-c2-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v9-c2-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v9-c2-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.27s
cycy233-l3-bdpo-v9-c2_v1 status is now torndown due to DeploymentManager action