developer_uid: shiroe40
submission_id: cycy233-l3-bdpo-v8-c4_v2
model_name: auto
model_group: cycy233/L3-bdpo-v8-c4
status: torndown
timestamp: 2024-07-15T08:01:05+00:00
num_battles: 68972
num_wins: 36145
celo_rating: 1206.95
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-bdpo-v8-c4
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-c4
model_size: 8B
ranking_group: single
us_pacific_date: 2024-07-15
win_ratio: 0.5240532389955345
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-c4-v2-mkmlizer
Waiting for job on cycy233-l3-bdpo-v8-c4-v2-mkmlizer to finish
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ _____ __ __ ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ /___/ ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ Version: 0.9.5.post2 ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ belonging to: ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ║ ║
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: Downloaded to shared memory in 24.978s
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.1.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.2.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.2.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.2.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.2.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.2.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.3.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.3.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.3.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.3.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.3.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.3.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.4.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.4.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.4.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.4.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.4.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.4.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.5.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.5.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.5.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.5.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.5.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.5.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.6.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.6.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.6.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.6.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.6.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.6.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.7.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.7.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.7.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.7.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.7.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.7.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.8.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.8.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.8.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.8.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.8.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.8.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.10.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.10.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.10.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.10.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.10.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.11.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.11.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.11.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.11.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.11.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.11.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.12.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.12.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.12.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.12.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.12.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.12.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.13.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.13.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.13.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.13.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.13.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.13.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.14.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.14.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.14.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.14.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.14.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.14.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.15.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.15.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.15.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.15.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.15.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.15.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.16.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.16.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.16.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.16.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.16.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.16.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.17.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.17.mlp.down_proj.weight torch.Size([11927552])
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cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.17.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.17.self_attn.o_proj.weight torch.Size([3407872])
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cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.18.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.18.mlp.down_proj.weight torch.Size([11927552])
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cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.18.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.18.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.18.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.19.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.19.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.19.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.19.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.19.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.19.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.20.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.20.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.9.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.9.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.9.mlp.up_gate_proj.weight torch.Size([23855104])
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cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.9.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.9.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.20.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.20.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.20.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.20.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.21.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.21.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.21.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.21.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.21.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.21.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.22.input_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.24.mlp.up_gate_proj.weight torch.Size([23855104])
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cycy233-l3-bdpo-v8-c4-v2-mkmlizer: model.layers.31.self_attn.o_proj.weight torch.Size([3407872])
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[00:10<00:00, 110.54it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: quantized model in 29.921s
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: Processed model cycy233/L3-bdpo-v8-c4 in 54.899s
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-bdpo-v8-c4-v2
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v8-c4-v2/config.json
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v8-c4-v2/tokenizer_config.json
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v8-c4-v2/special_tokens_map.json
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v8-c4-v2/tokenizer.json
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-bdpo-v8-c4-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-c4-v2-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v8-c4-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-c4-v2-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v8-c4-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-c4-v2-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: Saving duration: 2.307s
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 15.450s
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c4-v2_reward
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c4-v2_reward/tokenizer_config.json
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c4-v2_reward/special_tokens_map.json
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c4-v2_reward/config.json
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c4-v2_reward/vocab.json
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c4-v2_reward/merges.txt
cycy233-l3-bdpo-v8-c4-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c4-v2_reward/tokenizer.json
Job cycy233-l3-bdpo-v8-c4-v2-mkmlizer completed after 101.33s with status: succeeded
Stopping job with name cycy233-l3-bdpo-v8-c4-v2-mkmlizer
Pipeline stage MKMLizer completed in 102.55s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.15s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-bdpo-v8-c4-v2
Waiting for inference service cycy233-l3-bdpo-v8-c4-v2 to be ready
Inference service cycy233-l3-bdpo-v8-c4-v2 ready after 40.162304639816284s
Pipeline stage ISVCDeployer completed in 46.70s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1729886531829834s
Received healthy response to inference request in 1.4862854480743408s
Received healthy response to inference request in 1.4469387531280518s
Received healthy response to inference request in 1.4198980331420898s
Received healthy response to inference request in 1.525815486907959s
5 requests
0 failed requests
5th percentile: 1.4253061771392823
10th percentile: 1.4307143211364746
20th percentile: 1.4415306091308593
30th percentile: 1.4548080921173097
40th percentile: 1.4705467700958252
50th percentile: 1.4862854480743408
60th percentile: 1.5020974636077882
70th percentile: 1.5179094791412353
80th percentile: 1.655250120162964
90th percentile: 1.9141193866729738
95th percentile: 2.0435540199279782
99th percentile: 2.1471017265319823
mean time: 1.610385274887085
Pipeline stage StressChecker completed in 9.34s
cycy233-l3-bdpo-v8-c4_v2 status is now deployed due to DeploymentManager action
cycy233-l3-bdpo-v8-c4_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-bdpo-v8-c4_v2
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-bdpo-v8-c4-v2 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.32s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v8-c4-v2/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v8-c4-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v8-c4-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v8-c4-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v8-c4-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v8-c4-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c4-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c4-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c4-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c4-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c4-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c4-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.98s
cycy233-l3-bdpo-v8-c4_v2 status is now torndown due to DeploymentManager action