developer_uid: shiroe40
submission_id: cycy233-l3-bdpo-v7-c1_v3
model_name: auto
model_group: cycy233/L3-bdpo-v7-c1
status: torndown
timestamp: 2024-07-15T03:20:48+00:00
num_battles: 63897
num_wins: 32246
celo_rating: 1195.09
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-bdpo-v7-c1
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-v7-c1
model_size: 8B
ranking_group: single
us_pacific_date: 2024-07-14
win_ratio: 0.5046559306383711
generation_params: {'temperature': 0.6, '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}
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-v7-c1-v3-mkmlizer
Waiting for job on cycy233-l3-bdpo-v7-c1-v3-mkmlizer to finish
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: ║ _____ __ __ ║
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cycy233-l3-bdpo-v7-c1-v3-mkmlizer: ║ /___/ ║
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: ║ ║
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: ║ Version: 0.9.5.post2 ║
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: ║ ║
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: ║ The license key for the current software has been verified as ║
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cycy233-l3-bdpo-v7-c1-v3-mkmlizer: ║ ║
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: ║ ║
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: Downloaded to shared memory in 28.756s
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.1.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.2.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.2.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.2.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.2.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.2.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.3.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.3.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.3.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.3.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.3.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.3.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.4.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.4.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.4.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.4.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.4.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.4.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.5.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.5.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.5.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.5.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.5.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.5.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.6.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.6.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.6.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.6.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.6.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.6.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.7.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.7.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.7.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.7.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.7.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.7.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.8.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.8.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.8.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.8.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.8.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.8.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.10.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.10.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.10.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.10.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.10.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.11.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.11.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.11.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.11.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.11.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.11.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.12.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.12.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.12.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.12.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.12.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.12.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.13.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.13.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.13.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.13.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.13.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.13.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.14.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.14.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.14.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.14.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.14.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.14.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.15.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.15.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.15.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.15.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.15.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.15.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.16.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.16.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.16.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.16.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.16.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.16.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.17.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.17.mlp.down_proj.weight torch.Size([11927552])
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cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.17.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.17.self_attn.o_proj.weight torch.Size([3407872])
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cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.18.input_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.18.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.18.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.18.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.19.input_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.19.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.19.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.19.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.19.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.20.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.20.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.9.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.9.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.9.mlp.up_gate_proj.weight torch.Size([23855104])
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cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.9.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.9.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.20.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.20.mlp.down_proj.weight torch.Size([11927552])
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cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.20.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.21.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.21.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.21.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.21.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.21.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.21.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.22.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.22.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.22.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.22.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.22.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.22.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.23.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.23.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.23.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.23.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.23.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.23.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.24.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: lm_head.weight torch.Size([139542528])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.31.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.31.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.layers.31.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: model.norm.weight torch.Size([4096])
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been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: quantized model in 24.450s
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: Processed model cycy233/L3-bdpo-v7-c1 in 53.206s
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-bdpo-v7-c1-v3
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v7-c1-v3/special_tokens_map.json
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v7-c1-v3/config.json
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v7-c1-v3/tokenizer_config.json
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v7-c1-v3/tokenizer.json
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-bdpo-v7-c1-v3/flywheel_model.0.safetensors
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-bdpo-v7-c1-v3-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-v7-c1-v3-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v7-c1-v3-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-v7-c1-v3-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v7-c1-v3-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-v7-c1-v3-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: Saving duration: 1.922s
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 15.502s
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c1-v3_reward
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c1-v3_reward/config.json
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c1-v3_reward/special_tokens_map.json
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c1-v3_reward/tokenizer_config.json
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c1-v3_reward/merges.txt
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c1-v3_reward/vocab.json
cycy233-l3-bdpo-v7-c1-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c1-v3_reward/tokenizer.json
Job cycy233-l3-bdpo-v7-c1-v3-mkmlizer completed after 99.66s with status: succeeded
Stopping job with name cycy233-l3-bdpo-v7-c1-v3-mkmlizer
Pipeline stage MKMLizer completed in 100.53s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-bdpo-v7-c1-v3
Waiting for inference service cycy233-l3-bdpo-v7-c1-v3 to be ready
Inference service cycy233-l3-bdpo-v7-c1-v3 ready after 50.22746419906616s
Pipeline stage ISVCDeployer completed in 57.02s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.376329183578491s
Received healthy response to inference request in 1.4839973449707031s
Received healthy response to inference request in 1.446565866470337s
Received healthy response to inference request in 1.4184885025024414s
Received healthy response to inference request in 1.4746897220611572s
5 requests
0 failed requests
5th percentile: 1.4241039752960205
10th percentile: 1.4297194480895996
20th percentile: 1.4409503936767578
30th percentile: 1.452190637588501
40th percentile: 1.463440179824829
50th percentile: 1.4746897220611572
60th percentile: 1.4784127712249755
70th percentile: 1.482135820388794
80th percentile: 1.662463712692261
90th percentile: 2.019396448135376
95th percentile: 2.1978628158569333
99th percentile: 2.34063591003418
mean time: 1.640014123916626
Pipeline stage StressChecker completed in 9.21s
cycy233-l3-bdpo-v7-c1_v3 status is now deployed due to DeploymentManager action
cycy233-l3-bdpo-v7-c1_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-bdpo-v7-c1_v3
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-bdpo-v7-c1-v3 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.94s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v7-c1-v3/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v7-c1-v3/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v7-c1-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v7-c1-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v7-c1-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v7-c1-v3_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c1-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c1-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c1-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c1-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c1-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c1-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.41s
cycy233-l3-bdpo-v7-c1_v3 status is now torndown due to DeploymentManager action