submission_id: cycy233-l3-bdpo-v5-c1_v7
developer_uid: shiroe40
alignment_samples: 0
best_of: 16
celo_rating: 1144.42
display_name: auto
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}
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, '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}
is_internal_developer: False
language_model: cycy233/L3-bdpo-v5-c1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-bdpo-v5-c1
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-bdpo-v5-c1
model_size: 8B
num_battles: 65428
num_wins: 28354
propriety_score: 0.7744240042864797
propriety_total_count: 5599.0
ranking_group: single
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'}
reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-07-15T04:00:53+00:00
us_pacific_date: 2024-07-14
win_ratio: 0.43336186342238797
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-bdpo-v5-c1-v7-mkmlizer
Waiting for job on cycy233-l3-bdpo-v5-c1-v7-mkmlizer to finish
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cycy233-l3-bdpo-v5-c1-v7-mkmlizer: ║ _____ __ __ ║
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cycy233-l3-bdpo-v5-c1-v7-mkmlizer: ║ /___/ ║
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: ║ ║
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: ║ Version: 0.9.5.post2 ║
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: ║ ║
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: ║ The license key for the current software has been verified as ║
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cycy233-l3-bdpo-v5-c1-v7-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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cycy233-l3-bdpo-v5-c1-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: Downloaded to shared memory in 16.900s
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.2.mlp.down_proj.weight torch.Size([11927552])
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cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.3.input_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.4.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.4.mlp.down_proj.weight torch.Size([11927552])
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cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.5.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.5.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.5.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.6.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.6.mlp.down_proj.weight torch.Size([11927552])
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cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.7.input_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.10.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.10.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.10.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.11.input_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.11.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.11.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.11.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.12.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.12.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.12.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.12.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.12.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.12.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.13.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.13.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.13.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.13.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.13.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.13.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.14.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.14.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.14.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.14.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.14.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.14.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.15.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.15.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.15.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.15.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.15.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.15.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.16.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.16.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.16.mlp.up_gate_proj.weight torch.Size([23855104])
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cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.20.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.9.input_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.21.post_attention_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v5-c1-v7-mkmlizer: model.layers.24.post_attention_layernorm.weight torch.Size([4096])
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the associated word embeddings are fine-tuned or trained.
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: quantized model in 20.620s
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: Processed model cycy233/L3-bdpo-v5-c1 in 37.521s
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v7
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v7/config.json
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v7/special_tokens_map.json
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v7/tokenizer_config.json
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v7/tokenizer.json
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v7/flywheel_model.0.safetensors
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-bdpo-v5-c1-v7-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-v5-c1-v7-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v5-c1-v7-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-v5-c1-v7-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v5-c1-v7-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-v5-c1-v7-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: Saving duration: 1.437s
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 9.010s
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v7_reward
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v7_reward/special_tokens_map.json
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v7_reward/config.json
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v7_reward/tokenizer_config.json
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v7_reward/merges.txt
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v7_reward/tokenizer.json
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v7_reward/vocab.json
cycy233-l3-bdpo-v5-c1-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v7_reward/reward.tensors
Job cycy233-l3-bdpo-v5-c1-v7-mkmlizer completed after 87.18s with status: succeeded
Stopping job with name cycy233-l3-bdpo-v5-c1-v7-mkmlizer
Pipeline stage MKMLizer completed in 88.02s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-bdpo-v5-c1-v7
Waiting for inference service cycy233-l3-bdpo-v5-c1-v7 to be ready
Inference service cycy233-l3-bdpo-v5-c1-v7 ready after 50.21882510185242s
Pipeline stage ISVCDeployer completed in 57.00s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3841755390167236s
Received healthy response to inference request in 1.4706039428710938s
Received healthy response to inference request in 1.4531097412109375s
Received healthy response to inference request in 1.4338757991790771s
Received healthy response to inference request in 1.4860403537750244s
5 requests
0 failed requests
5th percentile: 1.4377225875854491
10th percentile: 1.4415693759918213
20th percentile: 1.4492629528045655
30th percentile: 1.4566085815429688
40th percentile: 1.4636062622070312
50th percentile: 1.4706039428710938
60th percentile: 1.476778507232666
70th percentile: 1.4829530715942383
80th percentile: 1.6656673908233643
90th percentile: 2.024921464920044
95th percentile: 2.2045485019683837
99th percentile: 2.3482501316070556
mean time: 1.6455610752105714
Pipeline stage StressChecker completed in 9.46s
cycy233-l3-bdpo-v5-c1_v7 status is now deployed due to DeploymentManager action
cycy233-l3-bdpo-v5-c1_v7 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-bdpo-v5-c1_v7
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-bdpo-v5-c1-v7 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.51s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v5-c1-v7/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v5-c1-v7/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v5-c1-v7/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v5-c1-v7/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v5-c1-v7/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v5-c1-v7_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v7_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v7_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v7_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v7_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v7_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v7_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 7.16s
cycy233-l3-bdpo-v5-c1_v7 status is now torndown due to DeploymentManager action

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