developer_uid: shiroe40
submission_id: cycy233-l3-bdpo-v8-c2_v2
model_name: auto
model_group: cycy233/L3-bdpo-v8-c2
status: torndown
timestamp: 2024-07-15T08:00:35+00:00
num_battles: 69050
num_wins: 36136
celo_rating: 1206.06
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-bdpo-v8-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-v8-c2
model_size: 8B
ranking_group: single
us_pacific_date: 2024-07-15
win_ratio: 0.5233309196234612
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-v8-c2-v2-mkmlizer
Waiting for job on cycy233-l3-bdpo-v8-c2-v2-mkmlizer to finish
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: ║ _____ __ __ ║
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cycy233-l3-bdpo-v8-c2-v2-mkmlizer: ║ /___/ ║
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: ║ ║
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: ║ Version: 0.9.5.post2 ║
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: ║ ║
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: ║ The license key for the current software has been verified as ║
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cycy233-l3-bdpo-v8-c2-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: ║ ║
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: Downloaded to shared memory in 28.317s
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.1.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.2.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.2.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.2.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.2.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.2.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.3.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.3.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.3.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.3.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.3.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.3.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.4.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.4.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.4.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.4.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.4.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.4.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.5.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.5.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.5.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.5.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.5.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.5.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.6.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.6.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.6.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.6.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.6.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.6.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.7.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.7.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.7.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.7.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.7.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.7.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.8.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.8.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.8.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.8.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.8.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.8.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.10.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.10.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.10.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.10.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.10.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.11.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.11.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.11.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.11.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.11.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.11.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.12.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.12.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.12.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.12.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.12.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.12.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.13.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.13.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.13.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.13.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.13.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.13.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.14.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.14.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.14.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.14.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.14.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.14.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.15.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.15.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.15.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.15.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.15.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.15.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.16.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.16.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.16.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.16.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.16.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.16.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.17.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.17.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.17.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.17.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.17.self_attn.o_proj.weight torch.Size([3407872])
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cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.18.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.18.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.18.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.18.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.18.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.18.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.19.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.19.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.19.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.19.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.19.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.19.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.20.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.20.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.9.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.9.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.9.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.9.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.9.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.9.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.20.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.20.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.20.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.20.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.21.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.21.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.21.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.21.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.21.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.21.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.22.input_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.24.post_attention_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v8-c2-v2-mkmlizer: model.layers.31.self_attn.qkv_proj.weight torch.Size([5111808])
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been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: quantized model in 24.649s
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: Processed model cycy233/L3-bdpo-v8-c2 in 52.966s
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-bdpo-v8-c2-v2
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v8-c2-v2/tokenizer.json
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-bdpo-v8-c2-v2/flywheel_model.0.safetensors
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-bdpo-v8-c2-v2-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-v8-c2-v2-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v8-c2-v2-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-v8-c2-v2-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v8-c2-v2-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-v8-c2-v2-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c2-v2_reward
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c2-v2_reward/config.json
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c2-v2_reward/special_tokens_map.json
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c2-v2_reward/tokenizer_config.json
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c2-v2_reward/merges.txt
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c2-v2_reward/vocab.json
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c2-v2_reward/tokenizer.json
cycy233-l3-bdpo-v8-c2-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c2-v2_reward/reward.tensors
Job cycy233-l3-bdpo-v8-c2-v2-mkmlizer completed after 92.42s with status: succeeded
Stopping job with name cycy233-l3-bdpo-v8-c2-v2-mkmlizer
Pipeline stage MKMLizer completed in 93.26s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.15s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-bdpo-v8-c2-v2
Waiting for inference service cycy233-l3-bdpo-v8-c2-v2 to be ready
Inference service cycy233-l3-bdpo-v8-c2-v2 ready after 50.46901822090149s
Pipeline stage ISVCDeployer completed in 57.38s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.349661111831665s
Received healthy response to inference request in 1.4914846420288086s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Received healthy response to inference request in 1.4766230583190918s
Received healthy response to inference request in 1.4709815979003906s
Received healthy response to inference request in 1.51719069480896s
5 requests
0 failed requests
5th percentile: 1.472109889984131
10th percentile: 1.473238182067871
20th percentile: 1.4754947662353515
30th percentile: 1.4795953750610351
40th percentile: 1.485540008544922
50th percentile: 1.4914846420288086
60th percentile: 1.501767063140869
70th percentile: 1.5120494842529297
80th percentile: 1.6836847782135012
90th percentile: 2.016672945022583
95th percentile: 2.183167028427124
99th percentile: 2.316362295150757
mean time: 1.6611882209777833
Pipeline stage StressChecker completed in 9.88s
cycy233-l3-bdpo-v8-c2_v2 status is now deployed due to DeploymentManager action
cycy233-l3-bdpo-v8-c2_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-bdpo-v8-c2_v2
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-bdpo-v8-c2-v2 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 5.38s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v8-c2-v2/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v8-c2-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v8-c2-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v8-c2-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v8-c2-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v8-c2-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c2-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c2-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c2-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c2-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c2-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c2-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.71s
cycy233-l3-bdpo-v8-c2_v2 status is now torndown due to DeploymentManager action