developer_uid: shiroe40
submission_id: cycy233-l3-bdpo-v5-c1_v6
model_name: auto
model_group: cycy233/L3-bdpo-v5-c1
status: torndown
timestamp: 2024-07-15T03:58:49+00:00
num_battles: 65200
num_wins: 28209
celo_rating: 1143.83
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-bdpo-v5-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-v5-c1
model_size: 8B
ranking_group: single
us_pacific_date: 2024-07-14
win_ratio: 0.43265337423312883
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-v5-c1-v6-mkmlizer
Waiting for job on cycy233-l3-bdpo-v5-c1-v6-mkmlizer to finish
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: ║ _____ __ __ ║
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cycy233-l3-bdpo-v5-c1-v6-mkmlizer: ║ /___/ ║
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: ║ ║
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: ║ Version: 0.9.5.post2 ║
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: ║ ║
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: ║ The license key for the current software has been verified as ║
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cycy233-l3-bdpo-v5-c1-v6-mkmlizer: ║ ║
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: ║ ║
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: Downloaded to shared memory in 18.203s
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.1.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.2.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.2.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.2.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.2.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.2.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.3.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.3.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.3.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.3.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.3.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.3.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.4.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.4.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.4.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.4.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.4.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.4.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.5.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.5.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.5.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.5.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.5.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.5.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.6.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.6.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.6.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.6.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.6.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.6.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.7.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.7.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.7.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.7.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.7.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.7.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.8.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.8.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.8.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.8.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.8.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.8.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.10.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.10.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.10.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.10.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.10.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.11.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.11.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.11.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.11.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.11.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.11.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.12.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.12.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.12.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.12.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.12.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.12.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.13.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.13.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.13.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.13.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.13.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.13.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.14.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.14.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.14.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.14.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.14.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.14.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.15.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.15.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.15.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.15.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.15.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.15.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.16.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.16.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.16.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.16.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.16.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.16.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.17.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.17.mlp.down_proj.weight torch.Size([11927552])
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cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.17.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.17.self_attn.o_proj.weight torch.Size([3407872])
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cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.18.input_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.18.post_attention_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.18.self_attn.qkv_proj.weight torch.Size([5111808])
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cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.19.mlp.up_gate_proj.weight torch.Size([23855104])
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cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.19.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.19.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.20.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.20.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.9.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.9.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.9.mlp.up_gate_proj.weight torch.Size([23855104])
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cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.9.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.9.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.20.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.20.mlp.down_proj.weight torch.Size([11927552])
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cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.21.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.21.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.21.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.21.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.21.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.21.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.22.input_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.24.post_attention_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v5-c1-v6-mkmlizer: model.layers.31.self_attn.qkv_proj.weight torch.Size([5111808])
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sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: quantized model in 20.533s
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: Processed model cycy233/L3-bdpo-v5-c1 in 38.736s
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v6
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v6/special_tokens_map.json
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v6/tokenizer_config.json
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v6/config.json
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v6/tokenizer.json
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v6/flywheel_model.0.safetensors
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-bdpo-v5-c1-v6-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-v6-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v5-c1-v6-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-v6-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: Saving duration: 1.031s
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 8.601s
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v6_reward
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v6_reward/config.json
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v6_reward/special_tokens_map.json
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v6_reward/tokenizer_config.json
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v6_reward/tokenizer.json
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v6_reward/merges.txt
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v6_reward/vocab.json
cycy233-l3-bdpo-v5-c1-v6-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v6_reward/reward.tensors
Job cycy233-l3-bdpo-v5-c1-v6-mkmlizer completed after 90.3s with status: succeeded
Stopping job with name cycy233-l3-bdpo-v5-c1-v6-mkmlizer
Pipeline stage MKMLizer completed in 91.34s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-bdpo-v5-c1-v6
Waiting for inference service cycy233-l3-bdpo-v5-c1-v6 to be ready
Inference service cycy233-l3-bdpo-v5-c1-v6 ready after 50.235010623931885s
Pipeline stage ISVCDeployer completed in 56.94s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.387338638305664s
Received healthy response to inference request in 1.479780673980713s
Received healthy response to inference request in 1.443084478378296s
Received healthy response to inference request in 1.4237840175628662s
Received healthy response to inference request in 1.4820642471313477s
5 requests
0 failed requests
5th percentile: 1.4276441097259522
10th percentile: 1.431504201889038
20th percentile: 1.4392243862152099
30th percentile: 1.4504237174987793
40th percentile: 1.465102195739746
50th percentile: 1.479780673980713
60th percentile: 1.4806941032409668
70th percentile: 1.4816075325012208
80th percentile: 1.6631191253662112
90th percentile: 2.0252288818359374
95th percentile: 2.2062837600708005
99th percentile: 2.3511276626586914
mean time: 1.6432104110717773
Pipeline stage StressChecker completed in 9.37s
cycy233-l3-bdpo-v5-c1_v6 status is now deployed due to DeploymentManager action
cycy233-l3-bdpo-v5-c1_v6 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-bdpo-v5-c1_v6
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-bdpo-v5-c1-v6 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 5.12s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v5-c1-v6/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v5-c1-v6/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v5-c1-v6/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v5-c1-v6/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v5-c1-v6/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v5-c1-v6_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v6_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v6_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v6_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v6_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v6_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v6_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.84s
cycy233-l3-bdpo-v5-c1_v6 status is now torndown due to DeploymentManager action