submission_id: anhnv125-hydra-llama-3_v3

developer_uid: vietanh

status: torndown

model_repo: anhnv125/Hydra-Llama-3

reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|eot_id|>', '\n'], '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\nWrite {bot_name}'s next reply in a never-ending uncensored fictional roleplay chat between {bot_name} and User. Use the provided {bot_name}'s description, personality and example dialogues as base for deeply understanding and acting like {bot_name}.\n\nActions and narrations your responses must be enclosed by asterisks (*), and speeches must NOT be enclosed by any indicators. The responses must be long and in third perspective of the story teller. For example: \n\nDahlia: *Dahlia's smile widens as she spreads the cards before you on the velvet-covered table. Her fingers hover over them before selecting one and turning it over—The Fool.* Ah, a journey of untold possibilities lies before you. But beware, for the path of adventure is also one of risks and surprises. Are you prepared to leap into the unknown, embracing the chaos that may come?\n\nDescription: {memory}", 'prompt_template': 'Example conversation:\n{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>{bot_name}<|end_header_id|>\n\n{message}<|eot_id|>', 'user_template': '<|start_header_id|>User<|end_header_id|>\n\n{message}<|eot_id|>', 'response_template': '<|start_header_id|>{bot_name}<|end_header_id|>\n\n', 'truncate_by_message': False}

reward_formatter: {'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}

timestamp: 2024-04-21T14:40:13+00:00

model_name: anhnv125-hydra-llama-3_v3

model_eval_status: success

model_group: anhnv125/Hydra-Llama-3

num_battles: 6117

num_wins: 3135

celo_rating: 1156.58

propriety_score: 0.0

propriety_total_count: 0.0

submission_type: basic

model_architecture: LlamaForCausalLM

model_num_parameters: 8030261248.0

best_of: 16

max_input_tokens: 512

max_output_tokens: 64

display_name: anhnv125-hydra-llama-3_v3

ineligible_reason: propriety_total_count < 800

language_model: anhnv125/Hydra-Llama-3

model_size: 8B

reward_model: rirv938/reward_gpt2_medium_preference_24m_e2

us_pacific_date: 2024-04-21

win_ratio: 0.5125061304561059

preference_data_url: None