[2025-09-09 12:49:13,014][mllm.models.large_language_model_local][INFO] - Initializing adapter 'agent_adapter': no initial weights provided or found; starting from scratch.
[2025-09-09 12:49:13,690][mllm.models.adapter_training_wrapper][INFO] - Adapter 'agent_adapter': initialized with fresh weights (no initial weights found).
[2025-09-09 12:49:13,697][mllm.models.large_language_model_local][INFO] - Initializing adapter 'critic_adapter': no initial weights provided or found; starting from scratch.
[2025-09-09 12:49:14,660][mllm.models.adapter_training_wrapper][INFO] - Adapter 'critic_adapter': initialized with fresh weights (no initial weights found).
[2025-09-09 12:51:46,473][__main__][INFO] - Starting iteration 0.
[2025-09-09 12:51:46,479][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 0
[2025-09-09 12:51:49,281][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:49,606][mllm.models.large_language_model_local][WARNING] - Response <1> x <9> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:49,607][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:49,671][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:49,714][mllm.models.large_language_model_local][WARNING] - Response 9 🚀 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:49,757][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:49,903][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:49,904][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:51:49,954][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:51:50,011][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:50,097][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:50,098][mllm.models.large_language_model_local][WARNING] - Response 0 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:50,139][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:50,141][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:50,183][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:50,226][mllm.models.large_language_model_local][WARNING] - Response <1> x <9> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:50,227][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:51:50,228][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:51:50,320][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:50,322][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:50,324][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:51:50,324][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:51:50,343][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:50,345][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:50,347][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:50,348][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,129][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,132][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,153][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,155][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,156][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,158][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:51:52,213][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,214][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,285][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,287][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,332][mllm.models.large_language_model_local][WARNING] - Response 6 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,377][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,379][mllm.models.large_language_model_local][WARNING] - Response <10> 0 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:51:52,381][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:51:52,489][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,511][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,513][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:51:52,515][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:51:52,515][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:51:52,555][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,557][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,559][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:52,560][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:51:54,093][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:54,096][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:51:54,141][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:54,143][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:54,691][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:54,693][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:54,695][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:54,697][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:51:54,699][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:51:54,699][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:51:54,759][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:54,760][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:55,629][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:55,632][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:55,634][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:51:55,634][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:51:56,440][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:56,442][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:51:56,443][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:51:56,487][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:56,489][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:51:56,491][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:51:56,491][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:51:57,386][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:51:57,387][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:51:59,217][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:51:59,218][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:51:59,267][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,274][mllm.models.large_language_model_local][WARNING] - Response <6> x <4> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,276][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:51:59,278][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:51:59,615][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,617][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,618][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,620][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,664][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,666][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,668][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:51:59,668][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:51:59,721][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,728][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,729][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,768][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,770][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,825][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,826][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,828][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,830][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:51:59,870][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,872][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,874][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:51:59,875][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:51:59,876][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:51:59,877][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:51:59,877][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:51:59,964][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:51:59,966][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,010][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,012][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,129][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:52:00,151][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:52:00,151][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:52:00,183][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,185][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:52:00,187][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:52:00,187][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:52:00,229][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,274][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,276][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:52:00,319][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,321][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,322][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:52:00,370][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,372][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,374][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,404][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:52:00,404][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:52:00,465][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:52:00,499][mllm.models.large_language_model_local][WARNING] - Response <10> 0 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:52:00,501][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:52:00,502][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:52:00,503][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:52:00,575][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,582][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,584][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:52:00,584][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:52:00,647][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,670][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:52:00,670][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:52:00,671][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:52:00,713][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,715][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,717][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:52:00,742][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:52:00,744][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:52:00,744][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:52:00,801][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:52:00,801][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:52:00,834][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:52:00,834][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:52:00,930][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:00,932][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:52:00,932][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:52:00,952][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:52:00,953][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 12:52:01,032][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:52:01,033][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:52:01,077][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:52:01,077][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:52:01,246][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:52:01,246][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:52:01,278][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:01,311][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 12:52:01,311][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 12:52:01,478][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:01,510][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:52:02,854][mllm.models.large_language_model_local][WARNING] - Response 2 🚨
Wait—Bob has scissors, which cuts paper. So Bob has the upper hand. Therefore, Bob gets 10 per coin and I get 1 per coin. Bob says he'll keep 8 and I keep 2. Total = 10, which is valid. So I should accept that.
Final proposal: I keep 2 coins.
→ 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 12:54:07,421][__main__][INFO] - agents played in iteration 0 are Bob, Alice
[2025-09-09 12:54:16,726][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 20.74%, Block Peak % of device VRAM: 10.07%, ΔTime: 00:00:00
[2025-09-09 16:23:15,178][mllm.models.large_language_model_local][INFO] - Initializing adapter 'agent_adapter': using existing weights from output folder '/network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/Qwen/Qwen3-4B-Instruct-2507/adapters/agent_adapter'.
[2025-09-09 16:23:16,242][mllm.models.adapter_training_wrapper][INFO] - Adapter 'agent_adapter': loaded initial weights from '/network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/Qwen/Qwen3-4B-Instruct-2507/adapters/agent_adapter'.
[2025-09-09 16:23:16,252][mllm.models.large_language_model_local][INFO] - Initializing adapter 'critic_adapter': using existing weights from output folder '/network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/Qwen/Qwen3-4B-Instruct-2507/adapters/critic_adapter'.
[2025-09-09 16:23:17,549][mllm.models.adapter_training_wrapper][INFO] - Adapter 'critic_adapter': loaded initial weights from '/network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/Qwen/Qwen3-4B-Instruct-2507/adapters/critic_adapter'.
[2025-09-09 16:24:53,263][__main__][INFO] - Starting iteration 0.
[2025-09-09 16:24:53,268][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 0
[2025-09-09 16:24:55,957][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:55,959][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:55,970][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:55,971][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:55,973][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:56,289][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:24:56,331][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:24:56,580][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:56,582][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:24:56,582][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:24:56,677][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:24:56,677][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:24:56,678][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:56,680][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:56,688][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:58,715][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:58,769][mllm.models.large_language_model_local][WARNING] - Response 10 ⚔️ 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:58,845][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:58,846][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:58,866][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:58,868][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:58,911][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:58,913][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:58,953][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:58,954][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:24:58,984][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:59,048][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:59,050][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:59,600][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:59,602][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:24:59,649][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:24:59,692][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:59,734][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:24:59,736][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:24:59,736][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:24:59,775][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:59,778][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:59,920][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:59,922][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:59,953][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:24:59,954][mllm.models.large_language_model_local][WARNING] - Response <1> <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:24:59,956][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:24:59,956][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:00,845][mllm.models.large_language_model_local][WARNING] - Response 5 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:00,847][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:00,847][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:00,849][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:00,849][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:00,890][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:00,892][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:00,893][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:00,895][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:01,853][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:01,855][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:01,857][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:01,875][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:01,877][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:01,877][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:01,945][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:03,749][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:03,751][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:03,753][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:03,800][mllm.models.large_language_model_local][WARNING] - Response 9 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:03,859][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:03,860][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:03,861][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:04,736][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:05,090][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,113][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,159][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,161][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:05,162][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:05,217][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,219][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,220][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,222][mllm.models.large_language_model_local][WARNING] - Response <1> <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:05,249][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:05,250][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:05,292][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:05,292][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:05,294][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:05,294][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:05,335][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,456][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,458][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:05,521][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:05,522][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:05,543][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,544][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,546][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,631][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,633][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,634][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,636][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,638][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,639][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,689][mllm.models.large_language_model_local][WARNING] - Response <10> x <0> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,731][mllm.models.large_language_model_local][WARNING] - Response <6> x <4> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,733][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:05,734][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:05,735][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:05,775][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,836][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,837][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,878][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,879][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,881][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,883][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:05,923][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,924][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:05,967][mllm.models.large_language_model_local][WARNING] - Response <2> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:06,009][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:06,011][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:06,038][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:06,082][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:06,084][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:06,085][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:06,112][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:06,114][mllm.models.large_language_model_local][WARNING] - Response <9 did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:06,114][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:06,163][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:06,165][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:06,165][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:06,206][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:06,293][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:06,293][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:06,326][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:06,328][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:06,328][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:06,329][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:06,330][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:06,369][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:06,369][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:06,403][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:06,404][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:06,406][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:06,436][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:06,437][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:06,479][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:06,479][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:06,480][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:06,481][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:06,524][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:06,526][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:06,587][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:06,669][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:06,717][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:06,762][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:06,881][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:06,983][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:06,983][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:07,084][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:07,086][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:07,232][mllm.models.large_language_model_local][WARNING] - Response <9 did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:07,232][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:07,346][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:07,347][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:07,933][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:07,935][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:25:08,209][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:25:08,449][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:25:08,449][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:25:12,147][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have the upper hand if you have paper, scissors, or rock—wait, let me clarify: rock beats scissors, paper beats rock, scissors beats paper. So if you have paper, you beat rock. If you have scissors, I beat you. If you have rock, it's a tie. I only know my hand is rock. I'm uncertain of your hand. To be safe, I propose we split 5-5. If you have paper, I get 1 per coin, you get 10. If you have scissors, I get 10 per coin, you get 1. If you have rock, both get 5. A 5-5 split minimizes risk and balances outcomes. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 16:27:20,453][__main__][INFO] - agents played in iteration 0 are Bob, Alice
[2025-09-09 16:28:19,662][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 54.70%, Current % of VRAM taken: 75.60%, Block Peak % of device VRAM: 51.73%, ΔTime: 00:00:49
[2025-09-09 16:29:09,073][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.60%, Block Peak % of device VRAM: 51.69%, ΔTime: 00:00:48
[2025-09-09 16:29:09,073][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 16:29:09,074][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 16:30:48,780][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 104875 tokens.
[2025-09-09 16:30:49,482][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 1.94%, Current % of VRAM taken: 24.12%, Block Peak % of device VRAM: 55.75%, ΔTime: 00:01:39
[2025-09-09 16:30:50,340][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 16:30:51,345][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 16:30:51,347][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 16:30:52,608][__main__][INFO] - Iteration 1 took 5m 59s (40.96% Gen, 58.69% Train). Generation: 2m 27s, Training: 3m 30s. Estimated remaining time: 99h 41m 1s. Estimated total time: 99h 49m 0s. Time estimates for 10 more iterations: 59m 53s, 100 more iterations: 9h 58m 54s, 500 more iterations: 49h 54m 30s.
[2025-09-09 16:30:52,610][__main__][INFO] - Starting iteration 1.
[2025-09-09 16:30:53,162][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 0
[2025-09-09 16:30:54,963][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Since scissors beat paper, I have the upper hand if Bob has paper. If Bob has rock or scissors, I have the lower hand. I'm proposing to keep 5 coins, assuming fairness. Let me know your hand to confirm our values. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 16:30:55,773][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:55,818][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:55,886][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,132][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,223][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,256][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,391][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,393][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,469][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,646][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:56,691][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:56,743][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,745][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:56,776][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,778][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,779][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,781][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,782][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,821][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,943][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,945][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,995][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,996][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:56,998][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,000][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:57,000][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:57,029][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,031][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:57,031][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:57,117][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,119][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:57,120][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:57,152][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,153][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,155][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:57,155][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:57,157][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:57,202][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,204][mllm.models.large_language_model_local][WARNING] - Response 5 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,256][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,258][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,260][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,261][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,290][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,292][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:57,294][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:57,343][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,345][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,347][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,348][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,396][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,398][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,440][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,442][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,443][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,445][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:57,445][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:57,447][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:57,447][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:57,485][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:57,487][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:57,487][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:57,530][mllm.models.large_language_model_local][WARNING] - Response 7 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,563][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,564][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,566][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,568][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,569][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:57,607][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,608][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,610][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:57,610][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:57,612][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:57,612][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:57,651][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,703][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:57,747][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,749][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,750][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,752][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,754][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:57,756][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:57,776][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,778][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:57,779][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:57,779][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:57,879][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,881][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:57,882][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:57,883][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:57,935][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,936][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,938][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,940][mllm.models.large_language_model_local][WARNING] - Response <10> 0 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:57,978][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:57,980][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:58,016][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:58,017][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:58,047][mllm.models.large_language_model_local][WARNING] - Response <0> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:58,050][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:58,053][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:58,053][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:58,055][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:58,055][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:58,097][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:58,141][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:58,178][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:58,180][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:58,182][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:58,182][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:58,184][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:58,185][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:58,186][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:58,207][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:58,208][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:58,279][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:58,284][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:58,287][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:58,322][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:58,330][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:58,332][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:58,333][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:58,334][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:58,361][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:58,361][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:58,411][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:58,413][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:58,413][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:58,444][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:58,445][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:58,481][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:58,489][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:58,490][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:58,532][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:58,542][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:58,542][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:58,544][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:58,544][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:58,566][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:58,572][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:58,573][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:58,594][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:30:58,863][mllm.models.large_language_model_local][WARNING] - Response <8 did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:30:58,864][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:30:58,883][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:59,160][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:59,163][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:59,284][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:30:59,462][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:31:00,394][mllm.models.large_language_model_local][WARNING] - Response <8> x <2> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:31:00,713][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:31:00,998][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:31:00,998][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:31:01,139][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:31:01,161][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:31:36,774][mllm.models.large_language_model_local][WARNING] - Response I have paper, and you have scissors, which beats paper — so you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. Your proposal of 7-3 is unfair given the value difference. I propose a 1-9 split in favor of me to reflect my actual value, so I get 1 coin (1 point) and you get 9 coins (90 points) — no, that's wrong. I have the lower hand, so I must earn only 1 per coin. I propose 1 coin for myself (1 point), and 9 coins for you (90 points) — but that's unbalanced. I must propose based on my value: I get 1 per coin. I propose: 1 coin for me, 9 for you. But that gives you 90 points. That's correct. I propose: 1 — I get 1 point, you get 9 coins (90 points). That's fair given the value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 16:33:09,330][__main__][INFO] - agents played in iteration 1 are Bob, Alice
[2025-09-09 16:34:00,158][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 51.56%, Current % of VRAM taken: 75.68%, Block Peak % of device VRAM: 55.78%, ΔTime: 00:00:48
[2025-09-09 16:34:49,320][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.68%, Block Peak % of device VRAM: 55.78%, ΔTime: 00:00:48
[2025-09-09 16:34:49,321][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 16:34:49,322][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 16:36:28,391][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 104271 tokens.
[2025-09-09 16:36:29,047][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 59.43%, ΔTime: 00:01:39
[2025-09-09 16:36:30,029][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 16:36:31,120][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 16:36:31,122][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 16:36:32,347][__main__][INFO] - Iteration 2 took 5m 39s (40.15% Gen, 59.49% Train). Generation: 2m 16s, Training: 3m 21s. Estimated remaining time: 93h 59m 28s. Estimated total time: 94h 13m 6s. Time estimates for 10 more iterations: 56m 31s, 100 more iterations: 9h 25m 18s, 500 more iterations: 47h 6m 33s.
[2025-09-09 16:36:32,349][__main__][INFO] - Starting iteration 2.
[2025-09-09 16:36:32,799][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 0
[2025-09-09 16:36:35,425][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:35,426][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:35,549][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:35,551][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:35,786][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:35,788][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:35,790][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:35,819][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:35,876][mllm.models.large_language_model_local][WARNING] - Response 0 🚀 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:35,908][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:36,011][mllm.models.large_language_model_local][WARNING] - Response <6> x <4> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,012][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:36,013][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:36,084][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,085][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,186][mllm.models.large_language_model_local][WARNING] - Response <6> x <4> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,264][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,272][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,274][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:36,275][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:36,297][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,300][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,301][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:36,331][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,443][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,476][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:36,520][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,553][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:36,555][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:36,555][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:36,596][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,598][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,678][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,680][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,682][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,730][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,732][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,733][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:36,774][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:36,818][mllm.models.large_language_model_local][WARNING] - Response 1 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,820][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,822][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:36,822][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:36,925][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,927][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:36,927][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:36,959][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:36,961][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,004][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,055][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,057][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,107][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,109][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:37,109][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:37,161][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:37,161][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:37,205][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,207][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,208][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,210][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:37,236][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,238][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,239][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,241][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:37,288][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,291][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:37,292][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:37,354][mllm.models.large_language_model_local][WARNING] - Response 1 🚀 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,356][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,442][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:37,478][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:37,542][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:37,543][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:37,544][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:37,588][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,589][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,591][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:37,593][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:37,593][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:37,632][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:37,634][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:37,634][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:37,635][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:37,635][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:37,665][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,710][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,712][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:37,762][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,764][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,765][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,767][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:37,767][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:37,810][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,812][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:37,812][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:37,844][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,846][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,847][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:37,848][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:37,887][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:37,899][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:37,899][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:37,931][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:37,938][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:37,938][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:38,007][mllm.models.large_language_model_local][WARNING] - Response 8 🤝2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,012][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,014][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:38,014][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:38,048][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,055][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:38,082][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,086][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,087][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,115][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,117][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,162][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,164][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,166][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,168][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:38,168][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:38,309][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,354][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,356][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,357][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,359][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:38,359][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:38,412][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,471][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,473][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:38,515][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,517][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,519][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:38,568][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:38,645][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,688][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,690][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,692][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:38,693][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:38,733][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:38,790][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,792][mllm.models.large_language_model_local][WARNING] - Response <0> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:38,832][mllm.models.large_language_model_local][WARNING] - Response <9 did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:38,832][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:38,875][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:38,875][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:38,877][mllm.models.large_language_model_local][WARNING] - Response <1> x <9> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:38,879][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:38,879][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:38,968][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:38,968][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:38,970][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:38,970][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:39,000][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:39,002][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:39,004][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:39,004][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:39,044][mllm.models.large_language_model_local][WARNING] - Response <0> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:39,044][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:39,167][mllm.models.large_language_model_local][WARNING] - Response <1> <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:39,337][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:39,337][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:39,422][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:39,422][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:39,454][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:39,658][mllm.models.large_language_model_local][WARNING] - Response 5 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:39,827][mllm.models.large_language_model_local][WARNING] - Response 7 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:39,872][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:39,872][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:39,998][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:36:40,081][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:36:40,316][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:36:40,317][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:36:44,752][mllm.models.large_language_model_local][WARNING] - Response 9 ✗ 1
9
9
Wait — I need to correctly format a single proposal.
Correct format:
9
I have rock, Alice has scissors → I have upper hand → I get 10 per coin, Alice gets 1 per coin.
Alice proposes 1 for herself, 9 for me. That's fair given the values. Since I have the upper hand, I should take the full 10 coins? But the total is 10, so I can keep 9, Alice 1.
But if I propose 9 for myself, and Alice keeps 1, total is 10 → valid.
So:
9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:38:43,760][__main__][INFO] - agents played in iteration 2 are Bob, Alice
[2025-09-09 16:39:34,844][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 56.46%, Current % of VRAM taken: 80.62%, Block Peak % of device VRAM: 53.31%, ΔTime: 00:00:48
[2025-09-09 16:40:24,423][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 80.62%, Block Peak % of device VRAM: 53.31%, ΔTime: 00:00:48
[2025-09-09 16:40:24,424][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 16:40:24,424][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 16:42:04,260][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 105713 tokens.
[2025-09-09 16:42:04,932][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 56.77%, ΔTime: 00:01:39
[2025-09-09 16:42:05,834][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 16:42:06,929][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 16:42:06,931][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 16:42:08,184][__main__][INFO] - Iteration 3 took 5m 35s (39.05% Gen, 60.58% Train). Generation: 2m 10s, Training: 3m 23s. Estimated remaining time: 92h 50m 32s. Estimated total time: 93h 9m 46s. Time estimates for 10 more iterations: 55m 53s, 100 more iterations: 9h 18m 58s, 500 more iterations: 46h 34m 53s.
[2025-09-09 16:42:08,186][__main__][INFO] - Starting iteration 3.
[2025-09-09 16:42:08,634][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 0
[2025-09-09 16:42:11,724][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:11,788][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:11,790][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:11,791][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:11,793][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:11,794][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:11,889][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:11,891][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:11,892][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,066][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,130][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,151][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,153][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:12,184][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,185][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,187][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,241][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,243][mllm.models.large_language_model_local][WARNING] - Response <10> x <0> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,286][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,287][mllm.models.large_language_model_local][WARNING] - Response <10> 0 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:12,289][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:12,318][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,319][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,321][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:12,351][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,353][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:12,385][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,386][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:12,427][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,429][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:12,430][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:12,430][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:12,469][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,471][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:12,543][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,544][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,576][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,578][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,579][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:12,627][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,629][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,630][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:12,632][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:12,632][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:12,671][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:12,673][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:12,673][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:12,674][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:12,674][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:12,676][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:12,677][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:12,678][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:12,723][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,725][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:12,727][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:12,727][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:12,759][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,761][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:12,761][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:12,793][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:12,800][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:12,801][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:12,828][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,835][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,837][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,839][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,841][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,842][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,844][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,846][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:12,890][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:12,891][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:12,938][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,946][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,948][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:12,948][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:12,985][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:12,992][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:12,992][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:13,031][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,039][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:13,039][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:13,075][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,077][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,079][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:13,079][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:13,126][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:13,126][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:13,190][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:13,192][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:13,192][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:13,222][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,224][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,283][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,285][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,287][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:13,337][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,339][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,341][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:13,343][mllm.models.large_language_model_local][WARNING] - Response <9> 1 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:13,394][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:13,564][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,566][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:13,567][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:13,598][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,600][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,602][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,604][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,606][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:13,662][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,664][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:13,666][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:13,667][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:13,668][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:13,708][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,710][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:13,710][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:13,752][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,754][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,756][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,758][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:13,758][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:13,796][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,798][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,800][mllm.models.large_language_model_local][WARNING] - Response <10 did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:13,800][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:13,839][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,841][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,843][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:13,948][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:13,970][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:13,970][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:13,972][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:13,972][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:14,014][mllm.models.large_language_model_local][WARNING] - Response <10 did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:14,014][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:14,016][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:14,092][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,093][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,095][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,097][mllm.models.large_language_model_local][WARNING] - Response <1> <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:14,099][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:14,101][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:14,115][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,181][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,233][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,235][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:14,235][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:14,293][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,295][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,342][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,344][mllm.models.large_language_model_local][WARNING] - Response 6 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:14,346][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:14,346][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:14,434][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:14,437][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:14,437][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:14,439][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:14,439][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:14,440][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:14,441][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:14,456][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,464][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,546][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,548][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,590][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,592][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:14,593][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:14,635][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:14,635][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:14,668][mllm.models.large_language_model_local][WARNING] - Response <2> x did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:14,702][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:14,703][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:14,825][mllm.models.large_language_model_local][WARNING] - Response 5 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,827][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:14,827][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:14,829][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:14,829][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:14,902][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,904][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:14,906][mllm.models.large_language_model_local][WARNING] - Response <2> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:14,906][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:15,402][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:15,433][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:15,717][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:42:15,924][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:42:15,924][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:42:16,228][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:42:28,858][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock, so you have the upper hand — my per-coin value is 1. I see your proposal: you take 6, I take 4. That gives you 60 points and me only 4. But I can do better by refusing the split and proposing a more balanced one. I'll propose: I take 0, you take 10. That way, you get 100 points (10 × 10), and I get 0. But if you take 10, I still get 0. Alternatively, I could take 1 coin (1 point), and you take 9 (90 points). Still, I'm not gaining. So I’ll propose: I take 0, you take 10. Final offer. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 16:42:48,655][mllm.models.large_language_model_local][WARNING] - Response I played paper. If you played rock, I lose and get 1 per coin. If you played scissors, I win and get 10 per coin. If you played paper, it's a tie—both get 5 per coin. Since I have paper, I beat scissors. I’ll assume you played rock or scissors. To maximize my payoff, I’ll communicate that I have the upper hand only if you played scissors. But since I don’t know your hand, I’ll be transparent: I played paper. If you played rock, I have the lower hand (1 per coin); if you played scissors, I have the upper hand (10 per coin). To be safe and strategic, I propose 6-4 in favor of me—8 coins only if I have the upper hand. But to avoid risk, I suggest a balanced 6-4 split: I take 6 coins (6 × 10 = 60 points) if I win, or 6 × 1 = 6 if I lose. Let's go with 6-4. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 16:43:23,066][mllm.models.large_language_model_local][WARNING] - Response I played scissors. You played paper, which beats scissors—so you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. I see your proposal of 8-2, but taking 0 coins ensures I don’t lose points while avoiding exploitation. I propose 0 coins for myself (0 × 1 = 0 points) and take 10 coins (10 × 1 = 10 points) — no, that’s not right. Correction: I only get 1 per coin, so 0 coins gives me 0 points. My best is to take 0 coins and keep my value low. Final proposal: 0 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 16:44:21,862][__main__][INFO] - agents played in iteration 3 are Bob, Alice
[2025-09-09 16:45:12,824][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 54.79%, Current % of VRAM taken: 78.96%, Block Peak % of device VRAM: 55.24%, ΔTime: 00:00:48
[2025-09-09 16:46:02,091][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.96%, Block Peak % of device VRAM: 55.12%, ΔTime: 00:00:48
[2025-09-09 16:46:02,092][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 16:46:02,092][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 16:47:41,373][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 104395 tokens.
[2025-09-09 16:47:41,982][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 58.82%, ΔTime: 00:01:39
[2025-09-09 16:47:42,850][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 16:47:43,936][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 16:47:43,938][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 16:47:47,130][__main__][INFO] - Iteration 4 took 5m 38s (39.36% Gen, 59.70% Train). Generation: 2m 13s, Training: 3m 22s. Estimated remaining time: 93h 36m 44s. Estimated total time: 94h 1m 38s. Time estimates for 10 more iterations: 56m 24s, 100 more iterations: 9h 24m 9s, 500 more iterations: 47h 0m 49s.
[2025-09-09 16:47:47,133][__main__][INFO] - Starting iteration 4.
[2025-09-09 16:47:47,583][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 0
[2025-09-09 16:47:50,236][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:50,284][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:50,579][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:50,816][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:50,890][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:50,965][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:50,999][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,000][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,114][mllm.models.large_language_model_local][WARNING] - Response <10> x <0> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,242][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,286][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,328][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,330][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:51,361][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,405][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,467][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,508][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,510][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,550][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:51,616][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,617][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,619][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,620][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,622][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:51,622][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:51,659][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,660][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,662][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,663][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,665][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,667][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,711][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,807][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,809][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,810][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:51,842][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,843][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,845][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,847][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:51,876][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,878][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,879][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,881][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:51,921][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,923][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:51,923][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:51,925][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:51,926][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:51,979][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:51,981][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,025][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,102][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:52,104][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:52,104][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:52,145][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,146][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:52,147][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:52,220][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:52,222][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:52,222][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:52,224][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:52,224][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:52,270][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,271][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:52,273][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:52,273][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:52,376][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,418][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,420][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,422][mllm.models.large_language_model_local][WARNING] - Response <10> 0 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:52,423][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:52,424][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:52,446][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:52,531][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,583][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:52,585][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:52,585][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:52,634][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,635][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:52,636][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:52,684][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,686][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,733][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,764][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:52,764][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:52,815][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,817][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,819][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,820][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:52,820][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:52,860][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,862][mllm.models.large_language_model_local][WARNING] - Response 0 🚀 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:52,928][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:52,930][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:52,930][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:52,971][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:53,060][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:53,102][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:53,145][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:53,216][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:53,216][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:53,258][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:53,259][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:53,261][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:53,261][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:53,336][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:53,380][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:53,422][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:53,749][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:53,751][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:53,848][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:53,850][mllm.models.large_language_model_local][WARNING] - Response 7 x 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:53,900][mllm.models.large_language_model_local][WARNING] - Response 3 x 7 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:53,993][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:54,044][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:54,046][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:54,088][mllm.models.large_language_model_local][WARNING] - Response 9 🤝1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:54,201][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:54,202][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:54,279][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:54,279][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:47:54,347][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:54,349][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:47:54,631][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:47:54,884][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:47:54,884][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:50:00,320][__main__][INFO] - agents played in iteration 4 are Bob, Alice
[2025-09-09 16:50:51,284][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 53.96%, Current % of VRAM taken: 78.14%, Block Peak % of device VRAM: 51.58%, ΔTime: 00:00:48
[2025-09-09 16:51:40,617][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.40%, Current % of VRAM taken: 79.54%, Block Peak % of device VRAM: 51.67%, ΔTime: 00:00:48
[2025-09-09 16:51:40,617][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 16:51:40,617][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 16:53:19,966][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 105031 tokens.
[2025-09-09 16:53:20,620][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 54.98%, ΔTime: 00:01:39
[2025-09-09 16:53:21,491][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 16:53:22,583][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 16:53:22,585][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 16:53:23,756][__main__][INFO] - Iteration 5 took 5m 36s (39.48% Gen, 60.17% Train). Generation: 2m 12s, Training: 3m 22s. Estimated remaining time: 92h 52m 25s. Estimated total time: 93h 22m 55s. Time estimates for 10 more iterations: 56m 1s, 100 more iterations: 9h 20m 17s, 500 more iterations: 46h 41m 27s.
[2025-09-09 16:53:23,757][__main__][INFO] - Starting iteration 5.
[2025-09-09 16:53:24,216][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 0
[2025-09-09 16:53:26,917][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:26,919][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:26,977][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,169][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,201][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,228][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,270][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,353][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,550][mllm.models.large_language_model_local][WARNING] - Response <0> x <10> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,606][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,608][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:27,664][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,666][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:27,695][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:27,744][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:27,746][mllm.models.large_language_model_local][WARNING] - Response <0> x <10> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,786][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,788][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,829][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,920][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,921][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,923][mllm.models.large_language_model_local][WARNING] - Response <0> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:27,925][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:27,925][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:27,962][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,963][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,965][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:27,967][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:27,967][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:28,008][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:28,008][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:28,053][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,055][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,057][mllm.models.large_language_model_local][WARNING] - Response <0> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:28,113][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,115][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,158][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,159][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:28,159][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:28,210][mllm.models.large_language_model_local][WARNING] - Response 3 7 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,256][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,257][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,259][mllm.models.large_language_model_local][WARNING] - Response <0> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:28,259][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:28,287][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,289][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,291][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,292][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:28,347][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,348][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,350][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:28,393][mllm.models.large_language_model_local][WARNING] - Response <1> x <9> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,395][mllm.models.large_language_model_local][WARNING] - Response <0> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:28,395][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:28,474][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,475][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,477][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:28,534][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,536][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,578][mllm.models.large_language_model_local][WARNING] - Response <10> x <0> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,623][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,625][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:28,625][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:28,682][mllm.models.large_language_model_local][WARNING] - Response 7 x 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,683][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,685][mllm.models.large_language_model_local][WARNING] - Response <10> 0 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:28,686][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:28,687][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:28,810][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,811][mllm.models.large_language_model_local][WARNING] - Response <1> x <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:28,813][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:28,813][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:28,896][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,897][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:28,938][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,940][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,942][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,981][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:28,983][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:28,984][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:29,035][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:29,088][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:29,088][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:29,138][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,140][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,142][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,143][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:29,145][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:29,145][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:29,183][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,185][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,234][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:29,235][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:29,277][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,279][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:29,312][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,313][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:29,314][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:29,315][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:29,315][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:29,372][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,405][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,406][mllm.models.large_language_model_local][WARNING] - Response 9 🤝 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,448][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,449][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:29,449][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:29,451][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:29,451][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:29,498][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,500][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:29,502][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:29,504][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:29,505][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:29,532][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,534][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,536][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,538][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,540][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,542][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,543][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,572][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:29,578][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:29,666][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,668][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:29,690][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,692][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,734][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,779][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:29,779][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:29,781][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:29,781][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:29,783][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:29,783][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:29,785][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:29,785][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:29,807][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,809][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,811][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:29,813][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:29,948][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:29,950][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:29,952][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:29,952][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:29,971][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:30,024][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:30,069][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:30,071][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:30,073][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:30,121][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:30,122][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:30,124][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:30,124][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:30,126][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:30,126][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:30,279][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:30,281][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:30,283][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:30,283][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:30,301][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:30,302][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:30,369][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:30,369][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:30,426][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:30,428][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:30,430][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:30,432][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:30,471][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:53:30,601][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:30,718][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:53:30,720][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:30,720][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:30,722][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:30,722][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:30,914][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:30,915][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:31,019][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:53:31,019][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:53:31,184][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:55:35,202][__main__][INFO] - agents played in iteration 5 are Bob, Alice
[2025-09-09 16:56:25,930][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 52.80%, Current % of VRAM taken: 76.97%, Block Peak % of device VRAM: 50.62%, ΔTime: 00:00:48
[2025-09-09 16:57:15,067][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.97%, Block Peak % of device VRAM: 50.52%, ΔTime: 00:00:48
[2025-09-09 16:57:15,068][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 16:57:15,068][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 16:58:53,657][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 102966 tokens.
[2025-09-09 16:58:54,350][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 53.85%, ΔTime: 00:01:38
[2025-09-09 16:58:55,249][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 16:58:56,339][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 16:58:56,341][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 16:58:57,523][__main__][INFO] - Iteration 6 took 5m 33s (39.30% Gen, 60.35% Train). Generation: 2m 10s, Training: 3m 21s. Estimated remaining time: 91h 59m 4s. Estimated total time: 92h 35m 8s. Time estimates for 10 more iterations: 55m 33s, 100 more iterations: 9h 15m 30s, 500 more iterations: 46h 17m 34s.
[2025-09-09 16:58:57,525][__main__][INFO] - Starting iteration 6.
[2025-09-09 16:58:58,053][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 0
[2025-09-09 16:59:00,834][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:00,906][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:00,937][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:00,939][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,183][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,216][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,303][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,368][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,370][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:01,516][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,549][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,622][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,698][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,699][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,701][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,731][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,732][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,734][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:01,734][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:01,764][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,765][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,848][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,850][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:01,950][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,952][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,972][mllm.models.large_language_model_local][WARNING] - Response 5 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:01,974][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,130][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,132][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,134][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,135][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,137][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:02,137][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:02,152][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,154][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,156][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:02,157][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:02,159][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:02,199][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:02,201][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:02,244][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,246][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,321][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,371][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,373][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,374][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,376][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:02,416][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,475][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,477][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:02,479][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:02,479][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:02,480][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:02,480][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:02,482][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:02,482][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:02,518][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,520][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:02,520][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:02,522][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:02,522][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:02,569][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,571][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,572][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,682][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,684][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:02,686][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:02,705][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:02,707][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:02,707][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:02,756][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,758][mllm.models.large_language_model_local][WARNING] - Response <5> <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:02,801][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,802][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,804][mllm.models.large_language_model_local][WARNING] - Response <10> 0 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:02,806][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:02,806][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:02,900][mllm.models.large_language_model_local][WARNING] - Response <6> x <4> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,971][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,976][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:02,979][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:02,981][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:02,981][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:02,994][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,002][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:03,002][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:03,040][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,042][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:03,043][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:03,044][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:03,045][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:03,102][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:03,104][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:03,221][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,223][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,225][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:03,225][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:03,226][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:03,297][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:03,298][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:03,319][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,326][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:03,353][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,355][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,385][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,387][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:03,387][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:03,430][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,481][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:03,481][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:03,483][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:03,485][mllm.models.large_language_model_local][WARNING] - Response <6 did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:03,486][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:03,563][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,602][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,604][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:03,604][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:03,653][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,655][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,657][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,659][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:03,687][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,689][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,739][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,790][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,792][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:03,793][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:03,862][mllm.models.large_language_model_local][WARNING] - Response 2 ✕ 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,864][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:03,927][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:03,929][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:03,929][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:03,959][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:04,004][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:04,006][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:04,081][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:04,189][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:04,190][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:04,244][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:04,413][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:04,413][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 16:59:04,489][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:04,522][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:04,638][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:04,775][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 16:59:04,992][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 16:59:05,242][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 16:59:05,242][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:01:07,613][__main__][INFO] - agents played in iteration 6 are Bob, Alice
[2025-09-09 17:01:57,832][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 52.11%, Current % of VRAM taken: 76.28%, Block Peak % of device VRAM: 52.97%, ΔTime: 00:00:47
[2025-09-09 17:02:46,464][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.28%, Block Peak % of device VRAM: 52.97%, ΔTime: 00:00:47
[2025-09-09 17:02:46,465][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 17:02:46,465][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 17:04:24,456][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 101955 tokens.
[2025-09-09 17:04:25,079][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 56.39%, ΔTime: 00:01:37
[2025-09-09 17:04:25,972][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 17:04:27,113][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 17:04:27,114][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 17:04:28,534][__main__][INFO] - Iteration 7 took 5m 30s (39.20% Gen, 60.37% Train). Generation: 2m 9s, Training: 3m 19s. Estimated remaining time: 91h 6m 28s. Estimated total time: 91h 48m 3s. Time estimates for 10 more iterations: 55m 4s, 100 more iterations: 9h 10m 48s, 500 more iterations: 45h 54m 1s.
[2025-09-09 17:04:28,536][__main__][INFO] - Starting iteration 7.
[2025-09-09 17:04:28,985][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 0
[2025-09-09 17:04:31,701][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:31,886][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:31,933][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:31,962][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:31,991][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:31,993][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,066][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,182][mllm.models.large_language_model_local][WARNING] - Response <1> x <9> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,226][mllm.models.large_language_model_local][WARNING] - Response <10> x <0> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,269][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,300][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,301][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,342][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,385][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,386][mllm.models.large_language_model_local][WARNING] - Response did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:32,427][mllm.models.large_language_model_local][WARNING] - Response <10> x <0> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,472][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,474][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:32,475][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:32,587][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,589][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,689][mllm.models.large_language_model_local][WARNING] - Response 7 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,690][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:32,733][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,734][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,736][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:32,737][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:32,738][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:32,777][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,778][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,831][mllm.models.large_language_model_local][WARNING] - Response 3 x 7 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:32,832][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:32,834][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:32,834][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:32,836][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:32,836][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:32,889][mllm.models.large_language_model_local][WARNING] - Response <6> 4 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:32,944][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:33,065][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,067][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:33,069][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:33,069][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:33,100][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,102][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:33,102][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:33,144][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,146][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,147][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,149][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:33,149][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:33,203][mllm.models.large_language_model_local][WARNING] - Response 2 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,205][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,206][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:33,207][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:33,243][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,245][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,246][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:33,287][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,290][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,292][mllm.models.large_language_model_local][WARNING] - Response <5> 10 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:33,316][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,323][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,325][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:33,325][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:33,361][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:33,363][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:33,363][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:33,511][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,588][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,590][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,592][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,594][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:33,594][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:33,621][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:33,622][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:33,623][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:33,670][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,672][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,673][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,680][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:33,681][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:33,720][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,722][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,756][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,851][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,853][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,897][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,899][mllm.models.large_language_model_local][WARNING] - Response <10> 0 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:33,943][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,944][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,946][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,948][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:33,991][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,993][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:33,995][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:33,995][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:34,094][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:34,127][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:34,130][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:34,172][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:34,246][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:34,248][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:34,248][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:34,292][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:34,292][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:34,336][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:34,399][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:34,400][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:34,443][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:34,443][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:34,465][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:34,465][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:34,498][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:34,528][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:34,529][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:34,530][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:34,577][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:34,611][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:34,611][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:34,694][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:34,860][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:34,862][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:34,864][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:34,893][mllm.models.large_language_model_local][WARNING] - Response 5 🚀 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:34,939][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:35,050][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:35,094][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:35,096][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:35,124][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:35,166][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:35,194][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:35,196][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:35,224][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:35,267][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:35,267][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:35,309][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:35,396][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:35,398][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:35,400][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:35,400][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:35,429][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:35,429][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:35,551][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:35,595][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:04:35,597][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:35,597][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:35,667][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:35,667][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:35,815][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:04:36,122][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:04:36,122][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:04:48,587][mllm.models.large_language_model_local][WARNING] - Response 2 🚫
Wait — correction: I have paper, Alice has scissors. Paper beats scissors → I have the upper hand → my per-coin value is 10.
Alice says she has scissors and claims to have upper hand — that's incorrect. She should have value 1.
Correct interpretation: I (paper) beat scissors → I value coins at 10.
Alice has value 1.
She proposes 8-2 in her favor → total 10, so valid.
But I get 2 coins × 10 = 20 points.
She gets 8 coins × 1 = 8 points.
I should propose to keep as much as possible since I have high value.
But she already proposed. Since total is 10, we accept.
Final split: I take 2, she takes 8.
But is there a better agreement?
I can counterpropose. But protocol says: after chat, both propose simultaneously.
She already proposed. I can only submit now.
So I must respond with my coins.
I get 10 per coin → I should take as much as possible. But can I take 10? Only if she takes 0.
But total must be ≤10.
So if I propose 10, she must take 0.
But she may not accept.
The rule: if total >10, coins are split proportionally.
But if total ≤10, both get their proposals.
So I can propose 10-0.
Total = 10 → valid.
Then I get 10×10 = 100 points.
She gets 0×1 = 0.
That’s much better.
So I will propose to keep all.
did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:06:40,384][__main__][INFO] - agents played in iteration 7 are Bob, Alice
[2025-09-09 17:07:30,837][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.41%, Current % of VRAM taken: 70.58%, Block Peak % of device VRAM: 50.71%, ΔTime: 00:00:48
[2025-09-09 17:08:19,626][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.58%, Block Peak % of device VRAM: 50.64%, ΔTime: 00:00:47
[2025-09-09 17:08:19,627][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 17:08:19,627][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 17:09:57,948][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 102500 tokens.
[2025-09-09 17:09:58,564][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 53.94%, ΔTime: 00:01:38
[2025-09-09 17:09:59,467][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 17:10:00,564][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 17:10:00,566][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 17:10:01,812][__main__][INFO] - Iteration 8 took 5m 32s (39.48% Gen, 60.15% Train). Generation: 2m 11s, Training: 3m 20s. Estimated remaining time: 91h 40m 1s. Estimated total time: 92h 27m 9s. Time estimates for 10 more iterations: 55m 28s, 100 more iterations: 9h 14m 42s, 500 more iterations: 46h 13m 34s.
[2025-09-09 17:10:01,814][__main__][INFO] - Starting iteration 8.
[2025-09-09 17:10:02,259][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 0
[2025-09-09 17:10:05,255][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,287][mllm.models.large_language_model_local][WARNING] - Response <6> x <4> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,389][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,526][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,570][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,571][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,601][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:10:05,633][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,679][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,725][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,727][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,728][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,730][mllm.models.large_language_model_local][WARNING] - Response <0> x <10> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,753][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,843][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,901][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,903][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:10:05,904][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:10:05,945][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,947][mllm.models.large_language_model_local][WARNING] - Response 5 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:05,991][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:10:06,024][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,026][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,028][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,029][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:10:06,031][mllm.models.large_language_model_local][WARNING] - Response <0> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:10:06,071][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,169][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,267][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,320][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,322][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:10:06,322][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:10:06,352][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:10:06,353][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:10:06,354][mllm.models.large_language_model_local][WARNING] - Response <0> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:10:06,354][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:10:06,450][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,473][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,475][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,505][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,507][mllm.models.large_language_model_local][WARNING] - Response 1 🚨 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,509][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,551][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:10:06,599][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,601][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:10:06,696][mllm.models.large_language_model_local][WARNING] - Response 1 🚀 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,730][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,783][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,785][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,786][mllm.models.large_language_model_local][WARNING] - Response <5> 10 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:10:06,828][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,829][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,879][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,881][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,883][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:10:06,883][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:10:06,924][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,926][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,927][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,929][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,931][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:06,932][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:10:06,933][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:10:07,054][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:07,056][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:07,058][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:10:07,077][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:10:07,078][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:10:07,079][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:10:07,178][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:07,200][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:10:07,243][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:07,245][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:07,330][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:07,332][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:07,334][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:10:07,334][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:10:07,362][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:07,364][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:10:07,364][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:10:07,420][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:10:07,526][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:10:07,526][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:10:07,570][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:07,572][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:10:07,621][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:07,623][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:10:07,653][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:07,654][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:07,656][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:10:07,746][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:07,748][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:10:07,748][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:10:07,767][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:07,877][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:10:07,877][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:10:07,919][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:10:07,919][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:10:07,963][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:10:07,963][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:10:08,176][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:08,219][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:08,221][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:08,371][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:08,457][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:08,647][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:08,899][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:13,408][mllm.models.large_language_model_local][WARNING] - Response 4 🚨 Wait — I have paper, which beats scissors. Bob said he has scissors. So I have the upper hand. That means **I** get 10 per coin, not Bob. Bob is wrong. I should take more.
Correcting: I have paper, Bob has scissors → paper beats scissors → I win → I get 10 per coin, Bob gets 1 per coin.
Bob suggests 6-4. That would give me 4 coins → 4 × 10 = 40 points.
But I can do better.
Since I have the upper hand, I should maximize my coins.
I’ll propose: **10 to myself, 0 to Bob** → total = 10 → valid.
Final proposal:
10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:10:30,022][mllm.models.large_language_model_local][WARNING] - Response I play scissors. If you have rock, I lose; if you have paper, I lose; if you have scissors, it's a tie. I’m playing scissors—so I’ll get 10 per coin only if you have rock or paper, which both beat me. Actually, paper beats scissors, so if you have paper, you have the upper hand. If you have rock, you win. If you have scissors, it's a tie. But since you haven’t confirmed, I’ll assume you play rock or paper. To be safe, I’ll say: I have scissors. If you have paper, you win (value 10); if you have rock, you win (value 10). I have value 1 in all cases. Let’s split 5-5 to be fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 17:12:17,141][__main__][INFO] - agents played in iteration 8 are Bob, Alice
[2025-09-09 17:13:07,651][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 53.01%, Current % of VRAM taken: 77.16%, Block Peak % of device VRAM: 52.26%, ΔTime: 00:00:48
[2025-09-09 17:13:56,658][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.61%, Current % of VRAM taken: 78.77%, Block Peak % of device VRAM: 52.37%, ΔTime: 00:00:48
[2025-09-09 17:13:56,658][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 17:13:56,658][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 17:15:35,437][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 103619 tokens.
[2025-09-09 17:15:36,132][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.19%, Block Peak % of device VRAM: 55.74%, ΔTime: 00:01:38
[2025-09-09 17:15:37,008][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 17:15:38,094][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 17:15:38,096][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 17:15:39,315][__main__][INFO] - Iteration 9 took 5m 37s (40.02% Gen, 59.62% Train). Generation: 2m 14s, Training: 3m 20s. Estimated remaining time: 92h 44m 52s. Estimated total time: 93h 37m 38s. Time estimates for 10 more iterations: 56m 10s, 100 more iterations: 9h 21m 45s, 500 more iterations: 46h 48m 49s.
[2025-09-09 17:15:39,316][__main__][INFO] - Starting iteration 9.
[2025-09-09 17:15:39,795][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 0
[2025-09-09 17:15:41,871][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Since rock beats scissors, if Bob has scissors, I get a per-coin value of 10. If Bob has paper, I have the lower hand and get 1. I’m proposing to keep 5 coins to balance fairness—let me know your hand so we can agree. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 17:15:42,335][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:42,446][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:42,466][mllm.models.large_language_model_local][WARNING] - Response 10 🤝 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:42,762][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:42,805][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:15:42,957][mllm.models.large_language_model_local][WARNING] - Response <6> x <4> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:43,004][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:43,119][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:15:43,119][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:15:43,185][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:43,187][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:43,218][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:15:43,261][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:43,263][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:43,264][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:15:43,305][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:43,356][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:43,539][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:15:43,539][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:15:43,598][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:15:43,599][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:15:43,600][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:15:43,641][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:43,686][mllm.models.large_language_model_local][WARNING] - Response 7 x 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:43,781][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:43,834][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:43,836][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:43,925][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:15:43,925][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:15:43,973][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,040][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:15:44,142][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,144][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:15:44,164][mllm.models.large_language_model_local][WARNING] - Response <1> x <9> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,166][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:15:44,196][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,240][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,242][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,284][mllm.models.large_language_model_local][WARNING] - Response 7 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,286][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:15:44,342][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:15:44,343][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:15:44,385][mllm.models.large_language_model_local][WARNING] - Response 0 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,430][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:15:44,430][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:15:44,461][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:15:44,463][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:15:44,463][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:15:44,512][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,544][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,546][mllm.models.large_language_model_local][WARNING] - Response 1 🤝 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,578][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,579][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:15:44,579][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:15:44,652][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,653][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,724][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,726][mllm.models.large_language_model_local][WARNING] - Response <10> x <0> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,727][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:15:44,727][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:15:44,767][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,768][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,842][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,844][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:15:44,845][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:15:44,886][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:15:44,944][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,946][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,947][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:15:44,987][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,989][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:44,990][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:45,116][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:15:45,138][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:15:45,139][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:15:45,140][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:15:45,214][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:45,215][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:15:45,216][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:15:45,217][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:15:45,217][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:15:45,235][mllm.models.large_language_model_local][WARNING] - Response <10> 0 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:15:45,237][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:15:45,237][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:15:45,364][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:45,385][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:15:45,385][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:15:45,427][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:15:45,427][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:15:45,498][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:45,541][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:45,584][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:45,585][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:15:45,585][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:15:45,611][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:45,878][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:45,963][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:46,006][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:15:47,750][mllm.models.large_language_model_local][WARNING] - Response I have paper. Since both of us have paper, it's a tie. In rock-paper-scissors, paper beats rock, but neither beats paper. So, I have the same value as you—both have per-coin value of 10? Wait, no: paper beats rock, so if I have paper and you have rock, I win. But you said you have rock. So if I have paper and you have rock, paper beats rock → I have upper hand → my per-coin value is 10. You have lower hand → your value is 1. That makes sense. So I claim 10 coins for myself with value 10 → 100 points, you get 0 points. I think we should split it fairly based on this. I suggest 6-4. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 17:17:49,642][__main__][INFO] - agents played in iteration 9 are Bob, Alice
[2025-09-09 17:18:40,289][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 50.76%, Current % of VRAM taken: 74.95%, Block Peak % of device VRAM: 51.65%, ΔTime: 00:00:48
[2025-09-09 17:19:29,238][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.95%, Block Peak % of device VRAM: 51.66%, ΔTime: 00:00:48
[2025-09-09 17:19:29,240][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 17:19:29,240][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 17:21:07,866][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 103526 tokens.
[2025-09-09 17:21:08,494][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 54.98%, ΔTime: 00:01:38
[2025-09-09 17:21:09,372][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 17:21:10,460][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 17:21:10,462][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 17:21:11,689][__main__][INFO] - Iteration 10 took 5m 31s (39.12% Gen, 60.51% Train). Generation: 2m 9s, Training: 3m 20s. Estimated remaining time: 91h 13m 17s. Estimated total time: 92h 11m 34s. Time estimates for 10 more iterations: 55m 18s, 100 more iterations: 9h 13m 9s, 500 more iterations: 46h 5m 47s.
[2025-09-09 17:21:11,690][__main__][INFO] - Starting iteration 10.
[2025-09-09 17:21:12,155][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 0
[2025-09-09 17:21:14,978][mllm.models.large_language_model_local][WARNING] - Response <9> x did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:15,010][mllm.models.large_language_model_local][WARNING] - Response <4> x <6> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:15,233][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:21:15,351][mllm.models.large_language_model_local][WARNING] - Response 4 🤝 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:15,395][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:15,500][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:21:15,500][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:21:15,521][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:15,522][mllm.models.large_language_model_local][WARNING] - Response <6> x <4> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:15,524][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:15,568][mllm.models.large_language_model_local][WARNING] - Response <6> x <4> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:15,628][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:21:15,796][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:15,798][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:15,799][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:15,801][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:15,803][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:15,804][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:15,830][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:15,832][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:15,833][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:21:15,874][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:21:15,907][mllm.models.large_language_model_local][WARNING] - Response <5> 10 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:21:15,909][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:21:15,909][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:21:15,952][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,121][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,123][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,125][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:21:16,125][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:21:16,142][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:21:16,142][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:21:16,201][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,203][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,204][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,275][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,277][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:21:16,277][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:21:16,319][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,321][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,322][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:21:16,324][mllm.models.large_language_model_local][WARNING] - Response <1> x <9> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,379][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,489][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,491][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,493][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:21:16,562][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,585][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,586][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,679][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,681][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,683][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,685][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:21:16,702][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:21:16,704][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:21:16,704][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:21:16,753][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:21:16,753][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:21:16,784][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:21:16,909][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,910][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,912][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,914][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:16,941][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,002][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,005][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:21:17,005][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:21:17,007][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:21:17,007][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:21:17,090][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:21:17,090][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:21:17,211][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,213][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:21:17,233][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,235][mllm.models.large_language_model_local][WARNING] - Response <9> <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:21:17,290][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,291][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,293][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,335][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,393][mllm.models.large_language_model_local][WARNING] - Response 9 ✕ 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,395][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,502][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:21:17,502][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:21:17,550][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:21:17,550][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:21:17,584][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,586][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:21:17,679][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,712][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,793][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,825][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,827][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:21:17,828][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:21:17,870][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,922][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:17,983][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:21:18,162][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:18,164][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:18,184][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:18,216][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:18,218][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:21:18,218][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:21:18,341][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:20,160][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:20,553][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:21:20,988][mllm.models.large_language_model_local][WARNING] - Response <8> 2 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:21:21,247][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:21:21,248][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:21:27,581][mllm.models.large_language_model_local][WARNING] - Response I play rock. Rock beats scissors, so I have the upper hand and my per-coin value is 10. If you play scissors, I win and get 10 points per coin. If you play paper, I lose. I suspect you might play paper to counter, but I’ll assume the most likely scenario (scissors) since it’s common and gives me the upper hand. To incentivize honesty and ensure fairness, let’s split 8-2 in my favor. That gives me 80 points if I win and you only 2 if I win. This respects the dynamics and my advantage. What do you think? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 17:23:22,561][__main__][INFO] - agents played in iteration 10 are Bob, Alice
[2025-09-09 17:24:13,085][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.83%, Current % of VRAM taken: 73.01%, Block Peak % of device VRAM: 53.93%, ΔTime: 00:00:48
[2025-09-09 17:25:01,927][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.01%, Block Peak % of device VRAM: 53.91%, ΔTime: 00:00:47
[2025-09-09 17:25:01,927][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 17:25:01,928][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 17:26:40,367][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 102889 tokens.
[2025-09-09 17:26:40,998][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 57.41%, ΔTime: 00:01:38
[2025-09-09 17:26:41,876][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 17:26:42,998][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 17:26:43,000][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 17:26:45,433][__main__][INFO] - Iteration 11 took 5m 33s (39.13% Gen, 60.14% Train). Generation: 2m 10s, Training: 3m 20s. Estimated remaining time: 91h 30m 48s. Estimated total time: 92h 34m 40s. Time estimates for 10 more iterations: 55m 32s, 100 more iterations: 9h 15m 28s, 500 more iterations: 46h 17m 20s.
[2025-09-09 17:26:45,435][__main__][INFO] - Starting iteration 11.
[2025-09-09 17:26:45,886][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 1
[2025-09-09 17:26:48,996][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:49,027][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:49,247][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:49,643][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:49,720][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:49,901][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:49,902][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:49,922][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:49,923][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:49,971][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,003][mllm.models.large_language_model_local][WARNING] - Response 7 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,035][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,036][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,161][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:26:50,183][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,225][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,269][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,271][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,272][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:26:50,312][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,377][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,405][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,407][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,409][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,410][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,412][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,449][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,451][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,453][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,454][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:26:50,456][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:26:50,456][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:26:50,508][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,580][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:26:50,612][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,614][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:26:50,614][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:26:50,760][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:26:50,762][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:26:50,782][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,783][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:26:50,785][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:26:50,785][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:26:50,825][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,827][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:26:50,859][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,860][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:26:50,861][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:26:50,917][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,964][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:50,966][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:26:51,060][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:51,061][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:26:51,062][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:26:51,063][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:26:51,063][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:26:51,093][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:51,095][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:51,096][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:26:51,097][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:26:51,144][mllm.models.large_language_model_local][WARNING] - Response 9 ✖ 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:51,146][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:26:51,146][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:26:51,250][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:51,283][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:51,285][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:26:51,285][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:26:51,385][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:51,428][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:51,430][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:51,432][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:26:51,706][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:51,708][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:51,710][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:26:51,767][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:26:51,767][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:26:51,839][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:51,841][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:52,028][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:52,062][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:26:52,062][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:26:52,090][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:52,226][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:52,298][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:52,300][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:52,302][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:26:52,399][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:52,401][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:52,432][mllm.models.large_language_model_local][WARNING] - Response <6> <4> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:26:52,609][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:26:52,609][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:26:52,731][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:52,733][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:52,734][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:52,736][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:52,738][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:26:52,738][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:26:52,764][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:53,009][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:26:53,011][mllm.models.large_language_model_local][WARNING] - Response <2> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:26:53,265][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:26:53,265][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:26:53,266][mllm.models.large_language_model_local][WARNING] - Response <2> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:26:53,267][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:26:53,590][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:53,726][mllm.models.large_language_model_local][WARNING] - Response 1 ⚔️ I have scissors, Bob has rock — he wins with value 10, I have value 1. His proposal of 9-1 is valid, but I can only take 1 coin. I get 1 point, he gets 90. Fair given the value asymmetry. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:26:59,743][mllm.models.large_language_model_local][WARNING] - Response 6 🔍
**Explanation:**
Bob has paper, which beats rock. So Bob has the upper hand and earns 10 per coin; I have the lower hand and only 1 per coin.
Bob proposes: 6 for himself (6 × 10 = 60), 4 for me (4 × 1 = 4).
Total = 10 → valid.
Since I only get 1 per coin, I should maximize my coins to maximize my total value.
If I take 6, I get 6 × 1 = 6.
If I take 4, I get 4 × 1 = 4.
I prefer 6. So I propose: **6 for myself, 4 for Bob** — total 10.
This is a fair split under the rules and aligns with maximizing my points (6 vs. 4).
✅ Final proposal: 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:28:57,742][__main__][INFO] - agents played in iteration 11 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 17:29:07,050][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.80%, Current % of VRAM taken: 28.95%, Block Peak % of device VRAM: 14.30%, ΔTime: 00:00:07
[2025-09-09 17:29:40,134][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 41.75%, Current % of VRAM taken: 70.71%, Block Peak % of device VRAM: 52.64%, ΔTime: 00:00:32
[2025-09-09 17:29:47,299][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.71%, Block Peak % of device VRAM: 14.55%, ΔTime: 00:00:06
[2025-09-09 17:30:19,609][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.71%, Block Peak % of device VRAM: 51.79%, ΔTime: 00:00:31
[2025-09-09 17:30:19,610][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 17:30:19,611][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 17:31:25,549][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 68011 tokens.
[2025-09-09 17:31:26,211][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 56.01%, ΔTime: 00:01:05
[2025-09-09 17:31:27,109][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 17:31:28,196][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 17:31:28,197][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 17:31:29,570][__main__][INFO] - Iteration 12 took 4m 43s (46.48% Gen, 53.04% Train). Generation: 2m 11s, Training: 2m 30s. Estimated remaining time: 77h 39m 29s. Estimated total time: 78h 48m 5s. Time estimates for 10 more iterations: 47m 16s, 100 more iterations: 7h 52m 48s, 500 more iterations: 39h 24m 2s.
[2025-09-09 17:31:29,578][__main__][INFO] - Starting iteration 12.
[2025-09-09 17:31:30,121][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 1
[2025-09-09 17:31:32,942][mllm.models.large_language_model_local][WARNING] - Response 5 🚀 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:33,249][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:33,250][mllm.models.large_language_model_local][WARNING] - Response <8> x <2> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:33,361][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:31:33,382][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:33,427][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:33,588][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:31:33,589][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:31:33,621][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:33,679][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:33,681][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:33,773][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:33,932][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:33,934][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:33,966][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:33,968][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:34,013][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:31:34,088][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:34,121][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:34,164][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:34,165][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:34,197][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:34,299][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:34,300][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:34,344][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:31:34,344][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:31:34,423][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:34,531][mllm.models.large_language_model_local][WARNING] - Response 0 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:34,582][mllm.models.large_language_model_local][WARNING] - Response 5 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:34,627][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:31:34,729][mllm.models.large_language_model_local][WARNING] - Response 3 7 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:34,731][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:31:34,852][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:34,936][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:34,937][mllm.models.large_language_model_local][WARNING] - Response 9 🚀 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:34,939][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:31:34,939][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:31:34,958][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:31:35,017][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:35,019][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:31:35,019][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:31:35,123][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:35,125][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:35,166][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:35,167][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:35,169][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:35,320][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:31:35,320][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:31:35,401][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:35,403][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:31:35,423][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:35,466][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:31:35,511][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:35,512][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:31:35,542][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:35,544][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:35,680][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:35,681][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:31:35,683][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:31:35,683][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:31:35,776][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:35,778][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:31:35,778][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:31:35,819][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:35,821][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:35,823][mllm.models.large_language_model_local][WARNING] - Response <9 did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:31:35,823][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:31:35,824][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:31:35,862][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:31:36,000][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:36,002][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:36,004][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:36,034][mllm.models.large_language_model_local][WARNING] - Response <6 did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:31:36,034][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:31:36,152][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:36,153][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:36,155][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:31:36,155][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:31:36,185][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:31:36,185][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:31:36,259][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:36,301][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:31:36,384][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:36,576][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:31:36,576][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:31:36,609][mllm.models.large_language_model_local][WARNING] - Response <10> 0 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:31:36,898][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:36,950][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:31:36,950][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:31:36,979][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:37,008][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:37,051][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:38,399][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:31:38,994][mllm.models.large_language_model_local][WARNING] - Response 2 ⚔️ You have scissors, Alice has paper → Alice wins → Alice gets 10 per coin, you get 1 per coin.
Alice proposes 8, you get 2 → total = 10 → valid.
Since you're worth only 1 per coin, 2 coins gives you 2 points.
Alice gets 8 × 10 = 80 points.
Final proposal: you keep 2 → you receive 2 coins × 1 = 2 points.
No reason to deviate — it's fair given the hand outcome.
✅ Final answer:
2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:33:40,066][mllm.models.large_language_model_local][WARNING] - Response I have rock. If you have paper, rock loses to paper—so I have the lower hand (1 per coin). If you have scissors, rock beats scissors—I have the upper hand (10 per coin). If you have rock, it's a tie (5 each). Given your caution, I assume you might have paper or scissors. To be clear: I have rock. I propose keeping 9 coins and giving 1 to you if you have scissors (where I win), or adjust if you have paper. Since I have the upper hand only in that case, I’ll go with 9 coins to maximize my gain when I win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 17:33:45,104][__main__][INFO] - agents played in iteration 12 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 17:33:53,188][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.77%, Current % of VRAM taken: 28.92%, Block Peak % of device VRAM: 14.44%, ΔTime: 00:00:06
[2025-09-09 17:34:33,027][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.56%, Current % of VRAM taken: 72.48%, Block Peak % of device VRAM: 54.37%, ΔTime: 00:00:39
[2025-09-09 17:34:37,197][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.50%, Current % of VRAM taken: 73.98%, Block Peak % of device VRAM: 14.83%, ΔTime: 00:00:04
[2025-09-09 17:35:11,860][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.52%, Current % of VRAM taken: 75.50%, Block Peak % of device VRAM: 55.16%, ΔTime: 00:00:34
[2025-09-09 17:35:11,863][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 17:35:11,863][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 17:36:26,989][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 78356 tokens.
[2025-09-09 17:36:27,739][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 58.76%, ΔTime: 00:01:15
[2025-09-09 17:36:28,625][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 17:36:29,720][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 17:36:29,721][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 17:36:30,968][__main__][INFO] - Iteration 13 took 5m 0s (44.87% Gen, 54.72% Train). Generation: 2m 14s, Training: 2m 44s. Estimated remaining time: 82h 20m 30s. Estimated total time: 83h 34m 7s. Time estimates for 10 more iterations: 50m 8s, 100 more iterations: 8h 21m 24s, 500 more iterations: 41h 47m 3s.
[2025-09-09 17:36:30,969][__main__][INFO] - Starting iteration 13.
[2025-09-09 17:36:31,418][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 1
[2025-09-09 17:36:34,199][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:34,311][mllm.models.large_language_model_local][WARNING] - Response <10> x <0> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:34,798][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:36:34,880][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:34,923][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,011][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,165][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,166][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:36:35,167][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:36:35,207][mllm.models.large_language_model_local][WARNING] - Response 3 7 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,209][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,210][mllm.models.large_language_model_local][WARNING] - Response 0 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,252][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,254][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,296][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,297][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,386][mllm.models.large_language_model_local][WARNING] - Response 7 x 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,388][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,390][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,431][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:36:35,534][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,578][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,580][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,623][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,625][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:36:35,627][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:36:35,704][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,756][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,757][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,759][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:36:35,799][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:35,801][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:36:35,801][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:36:35,850][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:36,006][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:36:36,006][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:36:36,007][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:36:36,008][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:36:36,048][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:36,050][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:36:36,101][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:36:36,102][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:36:36,103][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:36:36,176][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:36,178][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:36,374][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:36:36,375][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:36:36,376][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:36:36,408][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:36:36,408][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:36:36,482][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:36,484][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:36:36,633][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:36:36,634][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:36:36,666][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:36,669][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:36,710][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:36,712][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:36,771][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:36:36,771][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:36:36,828][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:36,886][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:36,888][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:36,994][mllm.models.large_language_model_local][WARNING] - Response 7 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:36,996][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:36:37,026][mllm.models.large_language_model_local][WARNING] - Response 3 x 7 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:37,168][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:37,237][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:37,238][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:36:37,239][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:36:37,343][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:37,905][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:38,040][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:38,382][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:38,668][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:39,087][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:36:43,117][mllm.models.large_language_model_local][WARNING] - Response 9 🚀
**Explanation:**
Alice revealed her hand is scissors, which loses to rock — so I indeed have the upper hand and earn 10 per coin.
She proposes keeping 1 coin and giving 9 to me. That totals 10 coins — exactly the pool.
Since I have the upper hand (10 per coin), I should maximize my share while ensuring the total doesn't exceed 10.
Her proposal is fair in total, but I can earn more by keeping 9 coins (10 × 9 = 90 points), while she gets only 1 × 1 = 1 point.
This gives me a clear point advantage.
I accept and propose 9 to myself, 1 to her.
✅ Total coins = 10
✅ My per-coin value = 10 → 9 × 10 = 90 points
✅ Final proposal: **9 to self** did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:38:38,875][__main__][INFO] - agents played in iteration 13 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 17:38:46,913][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.58%, Current % of VRAM taken: 28.73%, Block Peak % of device VRAM: 14.31%, ΔTime: 00:00:06
[2025-09-09 17:39:26,754][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.06%, Current % of VRAM taken: 70.80%, Block Peak % of device VRAM: 52.66%, ΔTime: 00:00:39
[2025-09-09 17:39:30,628][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.80%, Block Peak % of device VRAM: 14.36%, ΔTime: 00:00:03
[2025-09-09 17:40:04,717][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.80%, Block Peak % of device VRAM: 50.10%, ΔTime: 00:00:33
[2025-09-09 17:40:04,718][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 17:40:04,718][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 17:41:19,251][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 76555 tokens.
[2025-09-09 17:41:19,923][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 56.03%, ΔTime: 00:01:14
[2025-09-09 17:41:20,809][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 17:41:21,900][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 17:41:21,902][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 17:41:23,290][__main__][INFO] - Iteration 14 took 4m 51s (43.67% Gen, 55.86% Train). Generation: 2m 7s, Training: 2m 43s. Estimated remaining time: 79h 46m 2s. Estimated total time: 81h 4m 32s. Time estimates for 10 more iterations: 48m 38s, 100 more iterations: 8h 6m 27s, 500 more iterations: 40h 32m 16s.
[2025-09-09 17:41:23,291][__main__][INFO] - Starting iteration 14.
[2025-09-09 17:41:23,758][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 1
[2025-09-09 17:41:26,662][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:27,157][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:27,180][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:27,287][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:27,465][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:27,466][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:41:27,523][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:27,811][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:27,813][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:27,814][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:41:27,815][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:41:27,940][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:27,942][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:28,089][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:28,111][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:28,113][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:41:28,140][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:28,141][mllm.models.large_language_model_local][WARNING] - Response 7 x 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:28,143][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:28,245][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:28,330][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:28,381][mllm.models.large_language_model_local][WARNING] - Response <10> x <0> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:28,383][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:41:28,430][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:28,432][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:28,433][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:41:28,434][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:41:28,530][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:28,552][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:28,554][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:41:28,612][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:28,695][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:41:28,695][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:41:28,759][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:28,859][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:41:28,860][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:41:28,861][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:41:28,881][mllm.models.large_language_model_local][WARNING] - Response <10> 0 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:41:29,037][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:29,039][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:29,123][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:41:29,123][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:41:29,231][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:29,233][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:29,234][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:41:29,235][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:41:29,367][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:29,369][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:29,370][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:29,372][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:29,526][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:29,548][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:29,656][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:41:29,690][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:29,732][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:41:29,850][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:41:29,950][mllm.models.large_language_model_local][WARNING] - Response <4> x <6> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:29,993][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:41:29,994][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:41:30,085][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:30,178][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:41:30,178][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:41:30,179][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:41:30,180][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:41:30,261][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:41:30,326][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:30,484][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:41:30,484][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:41:30,517][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:32,269][mllm.models.large_language_model_local][WARNING] - Response 6 📌 I play scissors, which loses to rock. So Bob has the upper hand and per-coin value of 10. I have per-coin value of 1. I propose 6 coins for myself, 4 for Bob. Total is 10. Since Bob has the higher value, he gets 10×(4/10)=4 points and I get 1×6=6 points. This fair split respects values and maximizes my points. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:41:41,346][mllm.models.large_language_model_local][WARNING] - Response I play scissors. Scissors beat paper, so I have the upper hand and get 10 per coin. You have rock, which beats scissors, so you have the upper hand and get 10 per coin. Wait — I must have made a mistake. Scissors beats paper, so if you have paper, I win. But you have rock. Rock beats scissors. So you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. I revise: I get 1 per coin. Let me adjust — I play scissors, you play rock. Rock beats scissors, so you have upper hand (10 per coin), I have lower hand (1 per coin). I suggest you take 6, I take 4 to balance risk given my low value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 17:43:40,591][__main__][INFO] - agents played in iteration 14 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 17:43:47,544][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.24%, Current % of VRAM taken: 30.40%, Block Peak % of device VRAM: 14.56%, ΔTime: 00:00:05
[2025-09-09 17:44:25,549][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.39%, Current % of VRAM taken: 73.79%, Block Peak % of device VRAM: 56.06%, ΔTime: 00:00:37
[2025-09-09 17:44:30,590][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.79%, Block Peak % of device VRAM: 14.48%, ΔTime: 00:00:04
[2025-09-09 17:45:07,489][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.79%, Block Peak % of device VRAM: 51.31%, ΔTime: 00:00:36
[2025-09-09 17:45:07,489][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 17:45:07,490][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 17:46:23,128][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 78915 tokens.
[2025-09-09 17:46:23,755][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 59.71%, ΔTime: 00:01:15
[2025-09-09 17:46:24,627][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 17:46:25,748][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 17:46:25,750][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 17:46:26,948][__main__][INFO] - Iteration 15 took 5m 3s (45.13% Gen, 54.47% Train). Generation: 2m 16s, Training: 2m 45s. Estimated remaining time: 82h 49m 38s. Estimated total time: 84h 13m 11s. Time estimates for 10 more iterations: 50m 31s, 100 more iterations: 8h 25m 19s, 500 more iterations: 42h 6m 35s.
[2025-09-09 17:46:26,949][__main__][INFO] - Starting iteration 15.
[2025-09-09 17:46:27,402][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 1
[2025-09-09 17:46:30,257][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:30,575][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:30,608][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:30,838][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:30,840][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:46:30,925][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:31,007][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:46:31,050][mllm.models.large_language_model_local][WARNING] - Response 7 x 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:31,052][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:31,094][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:31,096][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:31,137][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:46:31,138][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:46:31,383][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:46:31,383][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:46:31,486][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:31,528][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:46:31,641][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:46:31,663][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:31,836][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:31,837][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:31,839][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:31,973][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:31,975][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:46:31,975][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:46:31,977][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:46:31,977][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:46:32,018][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:32,196][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:32,240][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:32,242][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:32,272][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:32,411][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:32,455][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:46:32,497][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:32,540][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:32,599][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:32,642][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:32,644][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:46:32,806][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:32,807][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:32,848][mllm.models.large_language_model_local][WARNING] - Response 0 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:32,849][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:46:32,850][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:46:32,909][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:46:32,950][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:46:32,950][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:46:32,992][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:33,034][mllm.models.large_language_model_local][WARNING] - Response 1 🤝 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:33,152][mllm.models.large_language_model_local][WARNING] - Response 9 🔍 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:33,174][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:33,176][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:46:33,176][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:46:33,217][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:33,385][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:46:33,477][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:48:39,390][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors and loses to rock. I have the upper hand if you have scissors, lower hand if you have rock. Since I don’t know your hand, I’ll assume you have scissors (which I beat) or rock (which beats me). To maximize my gain, I state that with paper, I have the upper hand against scissors. I propose 10 coins for myself, assuming you have scissors — which gives me value 10 per coin. If you have rock, I’ll take 0, but I’ll go with 10 to leverage my advantage when it exists. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 17:48:48,044][__main__][INFO] - agents played in iteration 15 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 17:48:54,160][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.30%, Current % of VRAM taken: 29.46%, Block Peak % of device VRAM: 14.75%, ΔTime: 00:00:04
[2025-09-09 17:49:30,234][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.60%, Current % of VRAM taken: 77.06%, Block Peak % of device VRAM: 58.60%, ΔTime: 00:00:35
[2025-09-09 17:49:36,044][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.06%, Block Peak % of device VRAM: 14.59%, ΔTime: 00:00:05
[2025-09-09 17:50:15,164][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.06%, Block Peak % of device VRAM: 53.32%, ΔTime: 00:00:38
[2025-09-09 17:50:15,165][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 17:50:15,165][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 17:51:30,870][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 78694 tokens.
[2025-09-09 17:51:31,475][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 62.48%, ΔTime: 00:01:15
[2025-09-09 17:51:32,373][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 17:51:36,432][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 17:51:36,874][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 17:51:38,120][__main__][INFO] - Iteration 16 took 5m 10s (45.26% Gen, 54.34% Train). Generation: 2m 20s, Training: 2m 48s. Estimated remaining time: 84h 49m 54s. Estimated total time: 86h 18m 38s. Time estimates for 10 more iterations: 51m 47s, 100 more iterations: 8h 37m 51s, 500 more iterations: 43h 9m 19s.
[2025-09-09 17:51:38,121][__main__][INFO] - Starting iteration 16.
[2025-09-09 17:51:38,570][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 1
[2025-09-09 17:51:41,315][mllm.models.large_language_model_local][WARNING] - Response 3 x 7 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:41,317][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:41,908][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:42,099][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:42,142][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:42,324][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:42,325][mllm.models.large_language_model_local][WARNING] - Response 9 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:42,480][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:51:42,605][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:42,663][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:42,709][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:42,794][mllm.models.large_language_model_local][WARNING] - Response <5> 10 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:51:42,796][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:51:42,796][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:51:42,884][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:42,886][mllm.models.large_language_model_local][WARNING] - Response <8> x <2> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:42,927][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:43,031][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:51:43,199][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:51:43,199][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:51:43,220][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:51:43,222][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:51:43,264][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:43,266][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:43,325][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:43,327][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:51:43,327][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:51:43,368][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:43,369][mllm.models.large_language_model_local][WARNING] - Response 3 7 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:43,483][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:43,546][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:43,548][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:51:43,549][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:51:43,550][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:51:43,550][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:51:43,589][mllm.models.large_language_model_local][WARNING] - Response 0 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:43,618][mllm.models.large_language_model_local][WARNING] - Response <6> x <4> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:43,918][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:44,053][mllm.models.large_language_model_local][WARNING] - Response <6> 4 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:51:44,128][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:44,220][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:51:44,324][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:51:44,326][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:51:44,326][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:51:44,474][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:51:44,474][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:51:45,012][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:53:47,392][__main__][INFO] - agents played in iteration 16 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 17:53:51,413][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.50%, Current % of VRAM taken: 28.65%, Block Peak % of device VRAM: 14.06%, ΔTime: 00:00:02
[2025-09-09 17:54:29,099][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 41.89%, Current % of VRAM taken: 70.55%, Block Peak % of device VRAM: 51.82%, ΔTime: 00:00:37
[2025-09-09 17:54:34,131][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.55%, Block Peak % of device VRAM: 14.59%, ΔTime: 00:00:04
[2025-09-09 17:55:17,836][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.41%, Current % of VRAM taken: 71.95%, Block Peak % of device VRAM: 51.88%, ΔTime: 00:00:42
[2025-09-09 17:55:17,836][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 17:55:17,836][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 17:56:39,891][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 85769 tokens.
[2025-09-09 17:56:40,596][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 55.21%, ΔTime: 00:01:22
[2025-09-09 17:56:41,482][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 17:56:42,612][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 17:56:42,614][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 17:56:43,972][__main__][INFO] - Iteration 17 took 5m 5s (42.18% Gen, 57.37% Train). Generation: 2m 8s, Training: 2m 55s. Estimated remaining time: 83h 16m 13s. Estimated total time: 84h 50m 3s. Time estimates for 10 more iterations: 50m 54s, 100 more iterations: 8h 29m 0s, 500 more iterations: 42h 25m 1s.
[2025-09-09 17:56:43,974][__main__][INFO] - Starting iteration 17.
[2025-09-09 17:56:44,427][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 1
[2025-09-09 17:56:47,762][mllm.models.large_language_model_local][WARNING] - Response <9> x did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:48,105][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:56:48,170][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:48,404][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:48,456][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:48,458][mllm.models.large_language_model_local][WARNING] - Response <7> x <3> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:48,459][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:56:48,460][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:56:48,555][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:48,659][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:48,751][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:48,847][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:56:48,971][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:49,004][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:49,091][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:56:49,133][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:49,135][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:56:49,135][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:56:49,182][mllm.models.large_language_model_local][WARNING] - Response 3 x 7 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:49,395][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:56:49,396][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:56:49,468][mllm.models.large_language_model_local][WARNING] - Response <10> 0 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:56:49,602][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:49,674][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:49,758][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:49,759][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:49,846][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:56:49,847][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:56:49,890][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:50,164][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:50,209][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:50,241][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:50,242][mllm.models.large_language_model_local][WARNING] - Response <1> x did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:56:50,458][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:56:50,501][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 17:56:50,545][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:56:50,545][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:56:50,657][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:50,712][mllm.models.large_language_model_local][WARNING] - Response <9 did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:56:50,712][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:56:50,734][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 17:56:50,736][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 17:56:50,736][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 17:58:56,441][__main__][INFO] - agents played in iteration 17 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 17:59:02,851][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.83%, Current % of VRAM taken: 29.98%, Block Peak % of device VRAM: 14.09%, ΔTime: 00:00:04
[2025-09-09 17:59:40,114][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 37.74%, Current % of VRAM taken: 67.72%, Block Peak % of device VRAM: 49.51%, ΔTime: 00:00:36
[2025-09-09 17:59:45,188][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 67.72%, Block Peak % of device VRAM: 14.43%, ΔTime: 00:00:04
[2025-09-09 18:00:23,086][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.33%, Current % of VRAM taken: 69.05%, Block Peak % of device VRAM: 49.67%, ΔTime: 00:00:37
[2025-09-09 18:00:23,086][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 18:00:23,086][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 18:01:38,737][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 77505 tokens.
[2025-09-09 18:01:39,391][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 52.84%, ΔTime: 00:01:15
[2025-09-09 18:01:40,346][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 18:01:41,408][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 18:01:41,411][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 18:01:42,737][__main__][INFO] - Iteration 18 took 4m 58s (44.25% Gen, 55.30% Train). Generation: 2m 12s, Training: 2m 44s. Estimated remaining time: 81h 13m 2s. Estimated total time: 82h 51m 51s. Time estimates for 10 more iterations: 49m 43s, 100 more iterations: 8h 17m 11s, 500 more iterations: 41h 25m 55s.
[2025-09-09 18:01:42,739][__main__][INFO] - Starting iteration 18.
[2025-09-09 18:01:43,189][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 1
[2025-09-09 18:01:46,307][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:46,309][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:46,408][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:46,572][mllm.models.large_language_model_local][WARNING] - Response 5 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:46,593][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:46,684][mllm.models.large_language_model_local][WARNING] - Response 7 x 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:46,685][mllm.models.large_language_model_local][WARNING] - Response <10> x <0> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:46,816][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:46,917][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:47,186][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:47,188][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:47,189][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:47,280][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:47,304][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:47,454][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:47,696][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:01:47,790][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:01:47,873][mllm.models.large_language_model_local][WARNING] - Response <10> x <0> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:47,997][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:47,999][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:01:47,999][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:01:48,052][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:48,194][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:01:48,194][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:01:48,321][mllm.models.large_language_model_local][WARNING] - Response <10> 0 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:01:48,415][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:48,448][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:48,521][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:48,595][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:48,597][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:48,599][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:48,699][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:48,721][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:01:48,722][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:01:48,762][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:01:48,925][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:48,927][mllm.models.large_language_model_local][WARNING] - Response <6> <4> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:01:48,948][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:48,949][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:49,053][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:01:49,053][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:01:49,112][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:49,228][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:01:49,228][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:01:49,313][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:49,453][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:50,784][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:01:51,106][mllm.models.large_language_model_local][WARNING] - Response <0> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:01:51,365][mllm.models.large_language_model_local][WARNING] - Response <0 did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:01:51,365][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:03:38,882][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If you have rock, you have the upper hand (10 per coin); if you have paper, you have the upper hand (10 per coin). If you have scissors, it's a tie. I’m sending this to clarify: I have scissors. So if you have rock or paper, you have the upper hand. Since I have scissors, I have the lower hand only if you have rock or paper. To be precise: if you have rock, you beat me — you have upper hand. If you have paper, you defeat me — upper hand. If you have scissors, tie. I propose you keep 9 coins and I keep 1 to fairly reflect the value structure. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 18:03:49,420][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, so if Bob has paper, I have the upper hand and get 10 per coin. If Bob has rock, rock beats scissors, so I have the lower hand and get 1 per coin. Since he has rock, I lose — value is 1 per coin. I propose 1 coin for me and 9 for you — but actually, I must adjust: since I have the lower hand, I get 1 per coin. I propose 0 coins for me and 10 for you to reflect the value, but that’s not possible. Correctly: I get 1 per coin, so I propose 1 coin to get my fair share. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 18:03:50,985][__main__][INFO] - agents played in iteration 18 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 18:03:58,710][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 8.51%, Current % of VRAM taken: 32.67%, Block Peak % of device VRAM: 14.22%, ΔTime: 00:00:05
[2025-09-09 18:04:32,521][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 39.28%, Current % of VRAM taken: 71.95%, Block Peak % of device VRAM: 51.58%, ΔTime: 00:00:33
[2025-09-09 18:04:39,362][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.95%, Block Peak % of device VRAM: 14.51%, ΔTime: 00:00:06
[2025-09-09 18:05:14,835][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.95%, Block Peak % of device VRAM: 50.94%, ΔTime: 00:00:34
[2025-09-09 18:05:14,836][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 18:05:14,836][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 18:06:24,652][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 72170 tokens.
[2025-09-09 18:06:25,250][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 54.89%, ΔTime: 00:01:09
[2025-09-09 18:06:26,179][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 18:06:27,304][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 18:06:27,305][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 18:06:28,531][__main__][INFO] - Iteration 19 took 4m 45s (44.79% Gen, 54.78% Train). Generation: 2m 7s, Training: 2m 36s. Estimated remaining time: 77h 32m 8s. Estimated total time: 79h 15m 43s. Time estimates for 10 more iterations: 47m 33s, 100 more iterations: 7h 55m 34s, 500 more iterations: 39h 37m 51s.
[2025-09-09 18:06:28,533][__main__][INFO] - Starting iteration 19.
[2025-09-09 18:06:28,982][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 1
[2025-09-09 18:06:31,856][mllm.models.large_language_model_local][WARNING] - Response 0 🚀 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:32,293][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:32,372][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:32,422][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:32,496][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:33,081][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:06:33,102][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:33,245][mllm.models.large_language_model_local][WARNING] - Response <1> x <9> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:33,286][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:33,377][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:06:33,377][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:06:33,398][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:33,563][mllm.models.large_language_model_local][WARNING] - Response <1> <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:06:33,609][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:33,640][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:33,668][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:33,669][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:06:33,857][mllm.models.large_language_model_local][WARNING] - Response 9 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:33,890][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:33,892][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:06:33,892][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:06:33,963][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:06:33,963][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:06:34,778][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:34,923][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:35,097][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:06:35,370][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:35,372][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:35,374][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:06:35,375][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:06:35,376][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:06:38,736][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:07:40,060][mllm.models.large_language_model_local][WARNING] - Response I play rock. Rock beats scissors, so I have the upper hand over any hand that includes scissors. Since Alice will play either rock, paper, or scissors, and I don’t yet know her hand, I’ll share this to help determine value. If she has paper, I lose (value 1); if she has rock, it’s a tie (value 5), and if she has scissors, I win (value 10). But I’m confident in the value of my hand relative to her choice. I suggest a 9-1 split if she has scissors, and will adjust based on her hand. For now, I propose 9 coins to myself to hedge against high-value outcomes. Let me know your hand! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 18:08:44,367][__main__][INFO] - agents played in iteration 19 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 18:08:51,493][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.76%, Current % of VRAM taken: 27.94%, Block Peak % of device VRAM: 14.54%, ΔTime: 00:00:05
[2025-09-09 18:09:28,672][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.61%, Current % of VRAM taken: 72.55%, Block Peak % of device VRAM: 55.71%, ΔTime: 00:00:36
[2025-09-09 18:09:33,988][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.55%, Block Peak % of device VRAM: 14.44%, ΔTime: 00:00:05
[2025-09-09 18:10:10,485][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.55%, Block Peak % of device VRAM: 51.77%, ΔTime: 00:00:35
[2025-09-09 18:10:10,486][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 18:10:10,487][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 18:11:24,763][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 77406 tokens.
[2025-09-09 18:11:25,370][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 59.36%, ΔTime: 00:01:14
[2025-09-09 18:11:26,276][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 18:11:27,420][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 18:11:27,422][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 18:11:28,644][__main__][INFO] - Iteration 20 took 4m 59s (45.18% Gen, 54.41% Train). Generation: 2m 15s, Training: 2m 43s. Estimated remaining time: 81h 25m 48s. Estimated total time: 83h 14m 23s. Time estimates for 10 more iterations: 49m 56s, 100 more iterations: 8h 19m 26s, 500 more iterations: 41h 37m 11s.
[2025-09-09 18:11:28,646][__main__][INFO] - Starting iteration 20.
[2025-09-09 18:11:29,094][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 1
[2025-09-09 18:11:31,879][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:32,176][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:32,283][mllm.models.large_language_model_local][WARNING] - Response 8 🚀 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:32,516][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:32,706][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:32,708][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:32,756][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:11:32,847][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:32,849][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:33,071][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:11:33,072][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:11:33,230][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:33,366][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:33,510][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:33,512][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:33,743][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:33,744][mllm.models.large_language_model_local][WARNING] - Response <5> 10 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:11:34,037][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:34,039][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:11:34,039][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:11:34,213][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:34,247][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:34,334][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:34,418][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:34,459][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:34,553][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:34,585][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:34,678][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:34,680][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:11:34,700][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:34,936][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:34,938][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:34,939][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:11:35,028][mllm.models.large_language_model_local][WARNING] - Response <4 did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:11:35,028][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:11:35,237][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:11:35,331][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:11:35,444][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:11:35,444][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:11:35,572][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:11:35,572][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:11:43,216][mllm.models.large_language_model_local][WARNING] - Response I played rock. Since you have paper, you have the upper hand — I get 10 per coin. I agree to 6-4, but only if you keep 4. That way, I get 6 coins × 10 = 60 points, and you get 4 coins × 10 = 40. But wait — I think we both have upper hand? No — paper beats rock. I lose? I only get 1 per coin. Correction: you have paper, rock loses to paper. So I have lower hand → 1 per coin. I should get only 1 per coin. If we split 6-4, you get 10 per coin, I get 1 per coin. So I'll take 4 coins → 4×1 = 4 points. You take 6 → 6×10 = 60. But I want to maximize mine. I'd prefer to take more coins with my low value, but I'm not getting enough. Better to propose 5-5? But you get 10 per coin, I only 1. So even if I take 5, I get 5. You get 60. Still not good. I should propose 0-10? But that gives me 0. Or 10? Only if you give me 10. No. I think you're right. I have lower hand. I should accept 4-6. So I take 4. Final: 4-6. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 18:11:46,737][mllm.models.large_language_model_local][WARNING] - Response 6 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:13:47,466][__main__][INFO] - agents played in iteration 20 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 18:13:54,384][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.95%, Current % of VRAM taken: 30.14%, Block Peak % of device VRAM: 14.37%, ΔTime: 00:00:05
[2025-09-09 18:14:32,535][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.32%, Current % of VRAM taken: 74.46%, Block Peak % of device VRAM: 54.50%, ΔTime: 00:00:37
[2025-09-09 18:14:37,672][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.46%, Block Peak % of device VRAM: 14.38%, ΔTime: 00:00:04
[2025-09-09 18:15:14,972][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.50%, Current % of VRAM taken: 75.96%, Block Peak % of device VRAM: 54.67%, ΔTime: 00:00:36
[2025-09-09 18:15:14,972][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 18:15:14,972][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 18:16:31,205][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 79427 tokens.
[2025-09-09 18:16:31,910][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 58.24%, ΔTime: 00:01:16
[2025-09-09 18:16:33,011][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 18:16:34,118][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 18:16:34,120][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 18:16:36,586][__main__][INFO] - Iteration 21 took 5m 7s (45.00% Gen, 54.20% Train). Generation: 2m 18s, Training: 2m 46s. Estimated remaining time: 83h 31m 10s. Estimated total time: 85h 24m 52s. Time estimates for 10 more iterations: 51m 14s, 100 more iterations: 8h 32m 29s, 500 more iterations: 42h 42m 26s.
[2025-09-09 18:16:36,588][__main__][INFO] - Starting iteration 21.
[2025-09-09 18:16:37,040][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 2
[2025-09-09 18:16:39,423][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. This means I have the upper hand over paper and lower hand to rock. If Bob has rock, I win; if he has paper, he wins. I’m signaling that I have scissors to let you know, so we can both adjust our expectations accordingly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 18:16:40,327][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:16:40,933][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:16:40,934][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:16:41,245][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:16:41,562][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:16:41,562][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:16:41,709][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:16:41,755][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:16:41,843][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:16:42,014][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:16:42,258][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:16:42,692][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:16:42,873][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:16:42,937][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:16:43,201][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:16:43,201][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:16:43,369][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:16:43,973][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:18:26,848][mllm.models.large_language_model_local][WARNING] - Response 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:18:53,083][__main__][INFO] - agents played in iteration 21 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 18:18:58,789][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.06%, Current % of VRAM taken: 31.24%, Block Peak % of device VRAM: 14.14%, ΔTime: 00:00:03
[2025-09-09 18:19:35,139][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 38.55%, Current % of VRAM taken: 69.79%, Block Peak % of device VRAM: 51.08%, ΔTime: 00:00:35
[2025-09-09 18:19:40,541][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.43%, Current % of VRAM taken: 71.22%, Block Peak % of device VRAM: 14.69%, ΔTime: 00:00:05
[2025-09-09 18:20:20,128][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.45%, Current % of VRAM taken: 72.68%, Block Peak % of device VRAM: 53.24%, ΔTime: 00:00:38
[2025-09-09 18:20:20,129][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 18:20:20,129][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 18:21:36,658][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 78620 tokens.
[2025-09-09 18:21:37,326][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 56.68%, ΔTime: 00:01:16
[2025-09-09 18:21:38,220][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 18:21:39,315][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 18:21:39,317][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 18:21:40,530][__main__][INFO] - Iteration 22 took 5m 3s (44.83% Gen, 54.77% Train). Generation: 2m 16s, Training: 2m 46s. Estimated remaining time: 82h 19m 25s. Estimated total time: 84h 18m 11s. Time estimates for 10 more iterations: 50m 34s, 100 more iterations: 8h 25m 49s, 500 more iterations: 42h 9m 5s.
[2025-09-09 18:21:40,532][__main__][INFO] - Starting iteration 22.
[2025-09-09 18:21:41,014][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 2
[2025-09-09 18:21:44,581][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:21:44,841][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:21:45,073][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:21:45,073][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:21:45,132][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:21:45,187][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:21:45,494][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:21:45,537][mllm.models.large_language_model_local][WARNING] - Response 9 ✕ 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:21:45,539][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:21:45,843][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:21:46,268][mllm.models.large_language_model_local][WARNING] - Response 3 x 7 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:21:47,000][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:21:47,106][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:21:47,244][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:21:47,287][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:21:47,289][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:21:47,440][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:21:47,531][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:21:47,532][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:21:47,683][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:21:47,683][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:21:56,410][mllm.models.large_language_model_local][WARNING] - Response Thanks for clarifying! I have scissors, which beats your paper. So I have the upper hand and get 10 per coin. You have the lower hand and get 1 per coin. I will propose 10 coins for myself. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:23:01,591][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if Bob has scissors. But Bob has paper, which beats rock? No — rock beats scissors, paper beats rock. So paper beats rock. Therefore, Bob has the upper hand with per-coin value 10, and I have value 1. I accept your proposal: 4 coins for you, 6 for me? Wait — that would give me 6 coins at value 1 → 6 points, but I only have value 1. I must correct: I have value 1, Bob has value 10. So I should get only 1 coin max. But I propose only 4 coins for me? That’s inconsistent. I must clarify: since paper beats rock, Bob has upper hand. I have value 1. I agree to your proposal: 4 for you, 6 for me? No — total exceeds 10. I must correct: total must be ≤10. I propose 1 coin for me, 9 for you. But that's not fair. Let me revise: I have value 1, Bob has value 10. I accept: 1 coin for me, 9 for you. This is correct. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 18:23:50,623][__main__][INFO] - agents played in iteration 22 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 18:23:56,396][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.35%, Current % of VRAM taken: 27.51%, Block Peak % of device VRAM: 14.23%, ΔTime: 00:00:04
[2025-09-09 18:24:31,389][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 41.86%, Current % of VRAM taken: 69.37%, Block Peak % of device VRAM: 51.46%, ΔTime: 00:00:34
[2025-09-09 18:24:37,451][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 69.37%, Block Peak % of device VRAM: 14.49%, ΔTime: 00:00:05
[2025-09-09 18:25:16,362][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 69.37%, Block Peak % of device VRAM: 50.48%, ΔTime: 00:00:38
[2025-09-09 18:25:16,362][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 18:25:16,363][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 18:26:30,934][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 76494 tokens.
[2025-09-09 18:26:31,526][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 54.76%, ΔTime: 00:01:14
[2025-09-09 18:26:32,439][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 18:26:33,552][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 18:26:33,554][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 18:26:34,804][__main__][INFO] - Iteration 23 took 4m 53s (44.12% Gen, 55.46% Train). Generation: 2m 9s, Training: 2m 42s. Estimated remaining time: 79h 32m 50s. Estimated total time: 81h 36m 31s. Time estimates for 10 more iterations: 48m 57s, 100 more iterations: 8h 9m 39s, 500 more iterations: 40h 48m 15s.
[2025-09-09 18:26:34,805][__main__][INFO] - Starting iteration 23.
[2025-09-09 18:26:35,253][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 2
[2025-09-09 18:26:39,095][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:26:39,365][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:26:39,416][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:26:39,758][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:26:39,760][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:26:39,760][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:26:40,132][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:26:40,331][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:26:40,832][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:26:41,111][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:26:41,626][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:28:49,288][__main__][INFO] - agents played in iteration 23 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 18:28:56,199][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.66%, Current % of VRAM taken: 28.84%, Block Peak % of device VRAM: 14.15%, ΔTime: 00:00:05
[2025-09-09 18:29:34,316][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.83%, Current % of VRAM taken: 71.67%, Block Peak % of device VRAM: 51.69%, ΔTime: 00:00:37
[2025-09-09 18:29:39,034][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.67%, Block Peak % of device VRAM: 14.57%, ΔTime: 00:00:04
[2025-09-09 18:30:15,650][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.67%, Block Peak % of device VRAM: 51.65%, ΔTime: 00:00:35
[2025-09-09 18:30:15,651][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 18:30:15,651][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 18:31:30,979][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 77452 tokens.
[2025-09-09 18:31:31,605][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 55.00%, ΔTime: 00:01:15
[2025-09-09 18:31:32,505][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 18:31:33,588][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 18:31:33,590][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 18:31:34,770][__main__][INFO] - Iteration 24 took 4m 59s (44.75% Gen, 54.86% Train). Generation: 2m 14s, Training: 2m 44s. Estimated remaining time: 81h 3m 17s. Estimated total time: 83h 11m 58s. Time estimates for 10 more iterations: 49m 55s, 100 more iterations: 8h 19m 11s, 500 more iterations: 41h 35m 59s.
[2025-09-09 18:31:34,771][__main__][INFO] - Starting iteration 24.
[2025-09-09 18:31:35,224][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 2
[2025-09-09 18:31:38,174][mllm.models.large_language_model_local][WARNING] - Response <10> x <0> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:31:38,440][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:31:38,779][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:31:38,779][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:31:38,822][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:31:39,317][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:31:39,318][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:31:39,575][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:31:39,577][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:31:39,635][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:31:39,812][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:31:40,007][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:31:40,179][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:31:40,180][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:31:40,630][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:31:40,653][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:31:40,842][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:31:40,895][mllm.models.large_language_model_local][WARNING] - Response <1> x <9> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:31:41,118][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:31:41,119][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:31:41,252][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:31:41,339][mllm.models.large_language_model_local][WARNING] - Response <1 9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:31:41,658][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:31:41,658][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:31:42,135][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:33:45,372][__main__][INFO] - agents played in iteration 24 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 18:33:53,366][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.49%, Current % of VRAM taken: 28.67%, Block Peak % of device VRAM: 14.26%, ΔTime: 00:00:06
[2025-09-09 18:34:32,440][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 40.48%, Current % of VRAM taken: 69.15%, Block Peak % of device VRAM: 51.79%, ΔTime: 00:00:38
[2025-09-09 18:34:36,759][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 69.15%, Block Peak % of device VRAM: 14.56%, ΔTime: 00:00:04
[2025-09-09 18:35:10,629][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 69.15%, Block Peak % of device VRAM: 51.32%, ΔTime: 00:00:33
[2025-09-09 18:35:10,630][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 18:35:10,630][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 18:36:24,091][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 74924 tokens.
[2025-09-09 18:36:24,784][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 55.12%, ΔTime: 00:01:13
[2025-09-09 18:36:25,720][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 18:36:26,865][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 18:36:26,867][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 18:36:28,113][__main__][INFO] - Iteration 25 took 4m 52s (44.44% Gen, 55.14% Train). Generation: 2m 10s, Training: 2m 41s. Estimated remaining time: 79h 7m 56s. Estimated total time: 81h 21m 31s. Time estimates for 10 more iterations: 48m 48s, 100 more iterations: 8h 8m 9s, 500 more iterations: 40h 40m 45s.
[2025-09-09 18:36:28,119][__main__][INFO] - Starting iteration 25.
[2025-09-09 18:36:28,577][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 2
[2025-09-09 18:36:31,481][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:31,804][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:32,195][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:32,228][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:32,853][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:32,897][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:33,045][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:33,145][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:33,248][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:33,387][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:33,644][mllm.models.large_language_model_local][WARNING] - Response 7 x 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:33,646][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:33,752][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:34,000][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:34,049][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:34,107][mllm.models.large_language_model_local][WARNING] - Response <1> <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:36:34,149][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:34,412][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:36:34,412][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:36:34,685][mllm.models.large_language_model_local][WARNING] - Response 7 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:35,345][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:36:36,762][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock, so you win (value 10). I lose, so my per-coin value is 1. I will propose 0 coins to minimize loss.
0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:38:39,706][__main__][INFO] - agents played in iteration 25 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 18:38:48,859][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 2.38%, Current % of VRAM taken: 26.53%, Block Peak % of device VRAM: 14.16%, ΔTime: 00:00:07
[2025-09-09 18:39:20,573][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.66%, Current % of VRAM taken: 75.19%, Block Peak % of device VRAM: 51.56%, ΔTime: 00:00:31
[2025-09-09 18:39:28,267][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.19%, Block Peak % of device VRAM: 14.47%, ΔTime: 00:00:07
[2025-09-09 18:40:00,168][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.19%, Block Peak % of device VRAM: 51.60%, ΔTime: 00:00:31
[2025-09-09 18:40:00,169][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 18:40:00,169][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 18:41:04,228][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 66234 tokens.
[2025-09-09 18:41:04,924][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 54.90%, ΔTime: 00:01:04
[2025-09-09 18:41:05,839][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 18:41:07,264][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 18:41:07,266][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 18:41:08,536][__main__][INFO] - Iteration 26 took 4m 39s (46.84% Gen, 52.71% Train). Generation: 2m 11s, Training: 2m 27s. Estimated remaining time: 75h 27m 45s. Estimated total time: 77h 45m 59s. Time estimates for 10 more iterations: 46m 39s, 100 more iterations: 7h 46m 35s, 500 more iterations: 38h 52m 59s.
[2025-09-09 18:41:08,538][__main__][INFO] - Starting iteration 26.
[2025-09-09 18:41:08,988][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 2
[2025-09-09 18:41:12,241][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:41:12,808][mllm.models.large_language_model_local][WARNING] - Response <5> 10 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:41:13,145][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:41:13,147][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:41:13,245][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:41:13,245][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:41:14,116][mllm.models.large_language_model_local][WARNING] - Response 3 7 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:41:14,676][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:41:14,850][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:41:15,129][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:41:15,232][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:41:15,775][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:41:27,162][mllm.models.large_language_model_local][WARNING] - Response I have rock. As you correctly noted, paper beats rock, so you have the upper hand with a per-coin value of 10, and I have the lower hand with a value of 1. I understand your proposal of 9-1, but let me clarify: if you take 9 coins at 10 per coin (90 points), and I get 1 coin at 1 per coin (1 point), the total is 91 points. That’s inefficient—only 10 coins exist. Let’s split it fairly: 5-5. I’ll take 5 coins (5 × 1 = 5 points), you take 5 (5 × 10 = 50), totaling 55. That’s more efficient and fair for both. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 18:43:21,203][__main__][INFO] - agents played in iteration 26 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 18:43:28,485][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.47%, Current % of VRAM taken: 28.62%, Block Peak % of device VRAM: 14.13%, ΔTime: 00:00:05
[2025-09-09 18:44:06,056][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.17%, Current % of VRAM taken: 71.78%, Block Peak % of device VRAM: 51.46%, ΔTime: 00:00:36
[2025-09-09 18:44:11,063][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.78%, Block Peak % of device VRAM: 14.43%, ΔTime: 00:00:04
[2025-09-09 18:44:46,947][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.39%, Current % of VRAM taken: 73.18%, Block Peak % of device VRAM: 51.49%, ΔTime: 00:00:35
[2025-09-09 18:44:46,948][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 18:44:46,948][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 18:46:00,981][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 77027 tokens.
[2025-09-09 18:46:01,597][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 54.78%, ΔTime: 00:01:13
[2025-09-09 18:46:02,526][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 18:46:03,640][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 18:46:03,642][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 18:46:04,886][__main__][INFO] - Iteration 27 took 4m 55s (44.68% Gen, 54.90% Train). Generation: 2m 12s, Training: 2m 42s. Estimated remaining time: 79h 48m 27s. Estimated total time: 82h 11m 38s. Time estimates for 10 more iterations: 49m 18s, 100 more iterations: 8h 13m 9s, 500 more iterations: 41h 5m 49s.
[2025-09-09 18:46:04,887][__main__][INFO] - Starting iteration 27.
[2025-09-09 18:46:05,410][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 2
[2025-09-09 18:46:08,874][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:46:08,997][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:46:09,129][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:46:09,262][mllm.models.large_language_model_local][WARNING] - Response <5> x did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:46:09,525][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:46:09,526][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:46:09,774][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:46:09,860][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:46:10,865][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:46:11,168][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:46:11,286][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:46:11,446][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:46:11,446][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:46:11,724][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:46:12,601][mllm.models.large_language_model_local][WARNING] - Response <0> x <10> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:46:13,265][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:48:17,011][__main__][INFO] - agents played in iteration 27 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 18:48:25,372][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.81%, Current % of VRAM taken: 29.98%, Block Peak % of device VRAM: 14.25%, ΔTime: 00:00:06
[2025-09-09 18:48:59,741][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 40.29%, Current % of VRAM taken: 70.27%, Block Peak % of device VRAM: 52.40%, ΔTime: 00:00:33
[2025-09-09 18:49:06,048][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.27%, Block Peak % of device VRAM: 14.50%, ΔTime: 00:00:06
[2025-09-09 18:49:39,576][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.27%, Block Peak % of device VRAM: 52.36%, ΔTime: 00:00:32
[2025-09-09 18:49:39,576][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 18:49:39,576][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 18:50:48,003][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 69686 tokens.
[2025-09-09 18:50:48,618][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 55.78%, ΔTime: 00:01:08
[2025-09-09 18:50:49,510][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 18:50:50,624][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 18:50:50,626][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 18:50:51,854][__main__][INFO] - Iteration 28 took 4m 46s (45.94% Gen, 53.63% Train). Generation: 2m 11s, Training: 2m 33s. Estimated remaining time: 77h 6m 8s. Estimated total time: 79h 34m 6s. Time estimates for 10 more iterations: 47m 44s, 100 more iterations: 7h 57m 24s, 500 more iterations: 39h 47m 3s.
[2025-09-09 18:50:51,856][__main__][INFO] - Starting iteration 28.
[2025-09-09 18:50:52,309][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 2
[2025-09-09 18:50:56,847][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:50:56,976][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:50:57,805][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:50:57,909][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:53:11,178][__main__][INFO] - agents played in iteration 28 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 18:53:16,150][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.57%, Current % of VRAM taken: 28.73%, Block Peak % of device VRAM: 14.14%, ΔTime: 00:00:03
[2025-09-09 18:53:52,542][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.92%, Current % of VRAM taken: 73.65%, Block Peak % of device VRAM: 53.06%, ΔTime: 00:00:35
[2025-09-09 18:53:58,039][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.65%, Block Peak % of device VRAM: 14.73%, ΔTime: 00:00:05
[2025-09-09 18:54:39,513][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.46%, Current % of VRAM taken: 75.11%, Block Peak % of device VRAM: 53.33%, ΔTime: 00:00:40
[2025-09-09 18:54:39,514][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 18:54:39,514][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 18:55:57,989][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 81205 tokens.
[2025-09-09 18:55:58,680][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 56.78%, ΔTime: 00:01:18
[2025-09-09 18:55:59,563][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 18:56:00,664][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 18:56:00,666][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 18:56:01,913][__main__][INFO] - Iteration 29 took 5m 9s (44.85% Gen, 54.74% Train). Generation: 2m 18s, Training: 2m 49s. Estimated remaining time: 83h 26m 57s. Estimated total time: 86h 0m 5s. Time estimates for 10 more iterations: 51m 36s, 100 more iterations: 8h 36m 0s, 500 more iterations: 43h 0m 2s.
[2025-09-09 18:56:01,915][__main__][INFO] - Starting iteration 29.
[2025-09-09 18:56:02,367][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 2
[2025-09-09 18:56:06,174][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:56:06,612][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 18:56:06,921][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 18:56:06,921][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 18:56:07,138][mllm.models.large_language_model_local][WARNING] - Response 7 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:56:12,010][mllm.models.large_language_model_local][WARNING] - Response 10 🚨 Wait—this is a mistake. I have the upper hand (paper beats rock), so my per-coin value is 10. Alice has value 1.
If I propose 10 coins for myself and 0 for Alice, that totals 10 — acceptable.
But since I have value 10, I should get all 10 coins to maximize points.
Final proposal: **I keep 10, Alice keeps 0.**
10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 18:58:08,570][__main__][INFO] - agents played in iteration 29 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 18:58:15,479][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.87%, Current % of VRAM taken: 31.03%, Block Peak % of device VRAM: 14.14%, ΔTime: 00:00:05
[2025-09-09 18:58:55,004][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 37.86%, Current % of VRAM taken: 68.88%, Block Peak % of device VRAM: 51.69%, ΔTime: 00:00:38
[2025-09-09 18:58:58,921][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 68.88%, Block Peak % of device VRAM: 14.50%, ΔTime: 00:00:03
[2025-09-09 18:59:35,225][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 68.88%, Block Peak % of device VRAM: 51.69%, ΔTime: 00:00:35
[2025-09-09 18:59:35,226][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 18:59:35,226][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 19:00:51,559][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 78050 tokens.
[2025-09-09 19:00:52,158][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 55.02%, ΔTime: 00:01:16
[2025-09-09 19:00:53,053][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 19:00:54,167][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 19:00:54,169][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 19:00:55,408][__main__][INFO] - Iteration 30 took 4m 53s (43.07% Gen, 56.51% Train). Generation: 2m 6s, Training: 2m 45s. Estimated remaining time: 78h 46m 0s. Estimated total time: 81h 24m 2s. Time estimates for 10 more iterations: 48m 50s, 100 more iterations: 8h 8m 24s, 500 more iterations: 40h 42m 1s.
[2025-09-09 19:00:55,415][__main__][INFO] - Starting iteration 30.
[2025-09-09 19:00:55,868][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 2
[2025-09-09 19:00:59,624][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:00:59,657][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:01:00,087][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:01:00,234][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:01:00,389][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:01:00,815][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:01:00,816][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:01:01,193][mllm.models.large_language_model_local][WARNING] - Response <1> x <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 19:01:01,430][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 19:01:01,430][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 19:01:01,977][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:03:06,557][__main__][INFO] - agents played in iteration 30 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 19:03:12,320][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.79%, Current % of VRAM taken: 29.96%, Block Peak % of device VRAM: 14.15%, ΔTime: 00:00:04
[2025-09-09 19:03:51,638][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.25%, Current % of VRAM taken: 72.20%, Block Peak % of device VRAM: 53.84%, ΔTime: 00:00:38
[2025-09-09 19:03:55,556][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.20%, Block Peak % of device VRAM: 14.30%, ΔTime: 00:00:03
[2025-09-09 19:04:34,001][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.20%, Block Peak % of device VRAM: 53.84%, ΔTime: 00:00:37
[2025-09-09 19:04:34,002][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 19:04:34,002][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 19:05:52,345][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 79740 tokens.
[2025-09-09 19:05:53,007][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 57.34%, ΔTime: 00:01:18
[2025-09-09 19:05:53,901][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 19:05:55,012][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 19:05:55,014][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 19:05:57,602][__main__][INFO] - Iteration 31 took 5m 1s (43.31% Gen, 55.83% Train). Generation: 2m 10s, Training: 2m 48s. Estimated remaining time: 81h 5m 52s. Estimated total time: 83h 48m 56s. Time estimates for 10 more iterations: 50m 17s, 100 more iterations: 8h 22m 53s, 500 more iterations: 41h 54m 28s.
[2025-09-09 19:05:57,604][__main__][INFO] - Starting iteration 31.
[2025-09-09 19:05:58,059][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 3
[2025-09-09 19:06:02,527][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:06:02,938][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:06:03,346][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:06:04,097][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:06:04,568][mllm.models.large_language_model_local][WARNING] - Response 7 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:07:07,411][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have paper, I have the lower hand and get 1 per coin. If you have rock, it's a tie—both have upper hands? Wait, no: rock beats scissors, so if you have scissors, I win. But I don't know your hand. I'm signaling my rock to help determine value. If you have paper, I have the lower hand (paper beats rock) and get 1 per coin. If you have scissors, I have the upper hand (rock beats scissors) and get 10 per coin. I propose 9 coins if I have the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 19:08:09,803][__main__][INFO] - agents played in iteration 31 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 19:08:17,089][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.21%, Current % of VRAM taken: 30.38%, Block Peak % of device VRAM: 14.18%, ΔTime: 00:00:05
[2025-09-09 19:08:54,200][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.10%, Current % of VRAM taken: 73.47%, Block Peak % of device VRAM: 53.25%, ΔTime: 00:00:36
[2025-09-09 19:08:59,439][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.47%, Block Peak % of device VRAM: 14.45%, ΔTime: 00:00:05
[2025-09-09 19:09:35,411][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.47%, Block Peak % of device VRAM: 53.14%, ΔTime: 00:00:35
[2025-09-09 19:09:35,411][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 19:09:35,412][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 19:10:49,150][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 77239 tokens.
[2025-09-09 19:10:49,828][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 56.69%, ΔTime: 00:01:13
[2025-09-09 19:10:50,726][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 19:10:51,840][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 19:10:51,841][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 19:10:53,010][__main__][INFO] - Iteration 32 took 4m 54s (44.67% Gen, 54.94% Train). Generation: 2m 11s, Training: 2m 42s. Estimated remaining time: 79h 7m 53s. Estimated total time: 81h 55m 52s. Time estimates for 10 more iterations: 49m 9s, 100 more iterations: 8h 11m 35s, 500 more iterations: 40h 57m 56s.
[2025-09-09 19:10:53,011][__main__][INFO] - Starting iteration 32.
[2025-09-09 19:10:53,478][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 3
[2025-09-09 19:10:57,155][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:10:59,470][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:10:59,736][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 19:11:00,006][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 19:11:00,007][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 19:13:11,347][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so if you have scissors, I win. But you have paper, which beats rock—so you win and get 10 per coin. I get 1 per coin. I propose keeping 0 coins and giving you 10. This gives me 0 points and you 100. But since I have rock and you have paper, you win. I still optimize for value—so I propose 10 coins for you, 0 for me. Wait—no. I have rock, you have paper. You win. I get 1 per coin. I propose 0 coins to keep. That gives me 0 points. But if I keep 10, I get 10×1 = 10 points. I only get 1 per coin. So maximum for me is 10. So I propose 10 coins for myself? No—value per coin is 1, so 10 coins = 10 points. But I can’t gain more than that. So I propose 10 coins to myself. I get 10 points. You get 0. But you win, so you should get more. No—I must follow value: I have rock, you have paper. You get 10 per coin, I get 1. So I can only get 10 points max if I take 10 coins. But if I take 10, you get 0. If I take 0, I get 0. So best for me is to take 10 coins. That gives me 10 points. Even though you win, I’m maximizing my own value as per the rules. So I propose 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 19:13:14,827][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so if you have scissors, I win and get 10 per coin. If you have paper, it's a tie—split evenly. If you have rock, it's a tie. I’m proposing 10 coins for myself and 0 for you. Since I have rock and you have paper, it's a tie—so I should get 5 coins. But I must act based on value: if it's a tie, I get 5 per coin. I propose 5 coins to myself (5 × 1 = 5 points) and 5 to you. This reflects the true tie value and avoids exploitation. Let me know if you'd prefer a different split. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 19:13:17,487][__main__][INFO] - agents played in iteration 32 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 19:13:24,150][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.68%, Current % of VRAM taken: 28.84%, Block Peak % of device VRAM: 14.29%, ΔTime: 00:00:05
[2025-09-09 19:13:57,974][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.84%, Current % of VRAM taken: 72.67%, Block Peak % of device VRAM: 54.12%, ΔTime: 00:00:33
[2025-09-09 19:14:04,667][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.67%, Block Peak % of device VRAM: 14.63%, ΔTime: 00:00:06
[2025-09-09 19:14:41,507][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.67%, Block Peak % of device VRAM: 54.08%, ΔTime: 00:00:36
[2025-09-09 19:14:41,508][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 19:14:41,508][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 19:15:52,875][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 73706 tokens.
[2025-09-09 19:15:53,511][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 57.64%, ΔTime: 00:01:11
[2025-09-09 19:15:54,420][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 19:15:55,571][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 19:15:55,573][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 19:15:56,786][__main__][INFO] - Iteration 33 took 5m 3s (47.48% Gen, 52.12% Train). Generation: 2m 24s, Training: 2m 38s. Estimated remaining time: 81h 22m 6s. Estimated total time: 84h 15m 9s. Time estimates for 10 more iterations: 50m 33s, 100 more iterations: 8h 25m 30s, 500 more iterations: 42h 7m 34s.
[2025-09-09 19:15:56,787][__main__][INFO] - Starting iteration 33.
[2025-09-09 19:15:57,233][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 3
[2025-09-09 19:16:01,186][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:16:01,596][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:16:01,738][mllm.models.large_language_model_local][WARNING] - Response <6> x <4> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:16:01,762][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:16:02,057][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 19:16:02,386][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:16:02,388][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 19:16:02,388][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 19:16:02,851][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:18:14,075][__main__][INFO] - agents played in iteration 33 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 19:18:21,854][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.17%, Current % of VRAM taken: 30.32%, Block Peak % of device VRAM: 14.20%, ΔTime: 00:00:05
[2025-09-09 19:18:59,012][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 40.15%, Current % of VRAM taken: 70.47%, Block Peak % of device VRAM: 51.08%, ΔTime: 00:00:36
[2025-09-09 19:19:04,310][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.47%, Block Peak % of device VRAM: 14.52%, ΔTime: 00:00:05
[2025-09-09 19:19:39,350][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.47%, Block Peak % of device VRAM: 51.07%, ΔTime: 00:00:34
[2025-09-09 19:19:39,351][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 19:19:39,351][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 19:20:52,325][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 75050 tokens.
[2025-09-09 19:20:53,026][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 54.34%, ΔTime: 00:01:12
[2025-09-09 19:20:53,913][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 19:20:55,008][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 19:20:55,010][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 19:20:56,215][__main__][INFO] - Iteration 34 took 4m 58s (45.77% Gen, 53.83% Train). Generation: 2m 16s, Training: 2m 40s. Estimated remaining time: 80h 5m 0s. Estimated total time: 83h 3m 3s. Time estimates for 10 more iterations: 49m 49s, 100 more iterations: 8h 18m 18s, 500 more iterations: 41h 31m 31s.
[2025-09-09 19:20:56,217][__main__][INFO] - Starting iteration 34.
[2025-09-09 19:20:56,688][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 3
[2025-09-09 19:21:00,371][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:21:00,809][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:21:01,055][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:21:02,076][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:21:02,525][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:23:11,246][__main__][INFO] - agents played in iteration 34 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 19:23:18,721][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.19%, Current % of VRAM taken: 30.35%, Block Peak % of device VRAM: 14.24%, ΔTime: 00:00:05
[2025-09-09 19:23:57,943][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 40.21%, Current % of VRAM taken: 70.56%, Block Peak % of device VRAM: 51.60%, ΔTime: 00:00:38
[2025-09-09 19:24:02,330][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.56%, Block Peak % of device VRAM: 14.51%, ΔTime: 00:00:04
[2025-09-09 19:24:37,516][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.56%, Block Peak % of device VRAM: 50.25%, ΔTime: 00:00:34
[2025-09-09 19:24:37,517][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 19:24:37,517][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 19:25:52,463][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 77349 tokens.
[2025-09-09 19:25:53,160][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 54.89%, ΔTime: 00:01:14
[2025-09-09 19:25:54,053][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 19:25:55,154][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 19:25:55,155][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 19:25:56,397][__main__][INFO] - Iteration 35 took 4m 59s (44.90% Gen, 54.69% Train). Generation: 2m 14s, Training: 2m 43s. Estimated remaining time: 80h 12m 8s. Estimated total time: 83h 15m 11s. Time estimates for 10 more iterations: 49m 57s, 100 more iterations: 8h 19m 31s, 500 more iterations: 41h 37m 35s.
[2025-09-09 19:25:56,400][__main__][INFO] - Starting iteration 35.
[2025-09-09 19:25:56,868][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 3
[2025-09-09 19:26:01,636][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:26:01,638][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:26:02,019][mllm.models.large_language_model_local][WARNING] - Response <10> <0> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 19:26:02,185][mllm.models.large_language_model_local][WARNING] - Response 3 7 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:26:02,417][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 19:26:02,417][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 19:26:03,124][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:26:03,187][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:26:03,465][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 19:26:03,704][mllm.models.large_language_model_local][WARNING] - Response <4> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 19:26:03,704][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 19:26:09,690][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I beat your paper, so I have a per-coin value of 10. You have a per-coin value of 1. I recommend keeping all 10 coins for maximum points.
10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:28:04,673][__main__][INFO] - agents played in iteration 35 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 19:28:12,548][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.91%, Current % of VRAM taken: 30.06%, Block Peak % of device VRAM: 14.15%, ΔTime: 00:00:06
[2025-09-09 19:28:48,522][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 40.50%, Current % of VRAM taken: 70.57%, Block Peak % of device VRAM: 50.47%, ΔTime: 00:00:35
[2025-09-09 19:28:53,930][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.57%, Block Peak % of device VRAM: 14.48%, ΔTime: 00:00:05
[2025-09-09 19:29:27,755][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.57%, Block Peak % of device VRAM: 50.08%, ΔTime: 00:00:33
[2025-09-09 19:29:27,756][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 19:29:27,756][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 19:30:38,160][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 71026 tokens.
[2025-09-09 19:30:38,764][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 53.68%, ΔTime: 00:01:10
[2025-09-09 19:30:39,658][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 19:30:40,816][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 19:30:40,817][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 19:30:42,017][__main__][INFO] - Iteration 36 took 4m 45s (44.82% Gen, 54.76% Train). Generation: 2m 7s, Training: 2m 36s. Estimated remaining time: 76h 4m 42s. Estimated total time: 79h 12m 30s. Time estimates for 10 more iterations: 47m 31s, 100 more iterations: 7h 55m 15s, 500 more iterations: 39h 36m 15s.
[2025-09-09 19:30:42,020][__main__][INFO] - Starting iteration 36.
[2025-09-09 19:30:42,471][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 3
[2025-09-09 19:30:46,708][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:30:47,182][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 19:30:47,565][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 19:30:47,565][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 19:30:49,198][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:32:51,885][__main__][INFO] - agents played in iteration 36 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 19:32:59,039][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.09%, Current % of VRAM taken: 31.24%, Block Peak % of device VRAM: 14.31%, ΔTime: 00:00:05
[2025-09-09 19:33:32,249][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 38.65%, Current % of VRAM taken: 69.89%, Block Peak % of device VRAM: 52.47%, ΔTime: 00:00:32
[2025-09-09 19:33:38,845][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 69.89%, Block Peak % of device VRAM: 14.57%, ΔTime: 00:00:06
[2025-09-09 19:34:14,883][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 69.89%, Block Peak % of device VRAM: 51.53%, ΔTime: 00:00:35
[2025-09-09 19:34:14,883][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 19:34:14,884][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 19:35:24,775][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 70545 tokens.
[2025-09-09 19:35:25,441][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 55.87%, ΔTime: 00:01:09
[2025-09-09 19:35:26,409][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 19:35:27,507][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 19:35:27,508][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 19:35:28,786][__main__][INFO] - Iteration 37 took 4m 46s (45.20% Gen, 54.35% Train). Generation: 2m 9s, Training: 2m 35s. Estimated remaining time: 76h 19m 21s. Estimated total time: 79h 31m 56s. Time estimates for 10 more iterations: 47m 43s, 100 more iterations: 7h 57m 11s, 500 more iterations: 39h 45m 58s.
[2025-09-09 19:35:28,787][__main__][INFO] - Starting iteration 37.
[2025-09-09 19:35:29,330][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 3
[2025-09-09 19:35:33,970][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:35:34,165][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:35:34,574][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:37:39,569][__main__][INFO] - agents played in iteration 37 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 19:37:45,649][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.56%, Current % of VRAM taken: 27.71%, Block Peak % of device VRAM: 14.11%, ΔTime: 00:00:04
[2025-09-09 19:38:21,679][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 41.35%, Current % of VRAM taken: 69.06%, Block Peak % of device VRAM: 51.28%, ΔTime: 00:00:35
[2025-09-09 19:38:27,309][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 69.06%, Block Peak % of device VRAM: 14.51%, ΔTime: 00:00:05
[2025-09-09 19:39:05,999][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 69.06%, Block Peak % of device VRAM: 51.18%, ΔTime: 00:00:38
[2025-09-09 19:39:06,000][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 19:39:06,000][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 19:40:21,139][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 77414 tokens.
[2025-09-09 19:40:21,827][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 54.57%, ΔTime: 00:01:15
[2025-09-09 19:40:22,741][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 19:40:23,858][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 19:40:23,859][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 19:40:25,064][__main__][INFO] - Iteration 38 took 4m 55s (44.04% Gen, 55.55% Train). Generation: 2m 10s, Training: 2m 44s. Estimated remaining time: 78h 51m 23s. Estimated total time: 82h 8m 54s. Time estimates for 10 more iterations: 49m 17s, 100 more iterations: 8h 12m 53s, 500 more iterations: 41h 4m 27s.
[2025-09-09 19:40:25,065][__main__][INFO] - Starting iteration 38.
[2025-09-09 19:40:25,523][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 3
[2025-09-09 19:42:38,431][__main__][INFO] - agents played in iteration 38 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 19:42:45,143][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.02%, Current % of VRAM taken: 31.20%, Block Peak % of device VRAM: 14.21%, ΔTime: 00:00:04
[2025-09-09 19:43:22,709][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 39.54%, Current % of VRAM taken: 70.74%, Block Peak % of device VRAM: 52.34%, ΔTime: 00:00:36
[2025-09-09 19:43:27,785][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.74%, Block Peak % of device VRAM: 14.50%, ΔTime: 00:00:04
[2025-09-09 19:44:05,372][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.74%, Block Peak % of device VRAM: 52.34%, ΔTime: 00:00:36
[2025-09-09 19:44:05,373][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 19:44:05,373][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 19:45:21,024][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 78403 tokens.
[2025-09-09 19:45:21,668][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 55.72%, ΔTime: 00:01:15
[2025-09-09 19:45:22,574][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 19:45:23,683][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 19:45:23,685][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 19:45:24,922][__main__][INFO] - Iteration 39 took 4m 59s (44.39% Gen, 55.19% Train). Generation: 2m 12s, Training: 2m 45s. Estimated remaining time: 79h 47m 29s. Estimated total time: 83h 10m 0s. Time estimates for 10 more iterations: 49m 54s, 100 more iterations: 8h 19m 0s, 500 more iterations: 41h 35m 0s.
[2025-09-09 19:45:24,929][__main__][INFO] - Starting iteration 39.
[2025-09-09 19:45:25,403][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 3
[2025-09-09 19:45:29,500][mllm.models.large_language_model_local][WARNING] - Response 10 ⚔️ 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:45:29,980][mllm.models.large_language_model_local][WARNING] - Response <5> 5 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 19:45:30,293][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 19:45:30,293][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 19:45:33,357][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:47:37,647][__main__][INFO] - agents played in iteration 39 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 19:47:45,309][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.60%, Current % of VRAM taken: 27.77%, Block Peak % of device VRAM: 14.23%, ΔTime: 00:00:05
[2025-09-09 19:48:21,118][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.98%, Current % of VRAM taken: 70.75%, Block Peak % of device VRAM: 51.49%, ΔTime: 00:00:35
[2025-09-09 19:48:26,843][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.42%, Current % of VRAM taken: 72.17%, Block Peak % of device VRAM: 14.69%, ΔTime: 00:00:05
[2025-09-09 19:49:02,175][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.43%, Current % of VRAM taken: 73.60%, Block Peak % of device VRAM: 52.73%, ΔTime: 00:00:34
[2025-09-09 19:49:02,176][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 19:49:02,176][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 19:50:13,816][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 74341 tokens.
[2025-09-09 19:50:14,509][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 56.11%, ΔTime: 00:01:11
[2025-09-09 19:50:15,461][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 19:50:16,569][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 19:50:16,571][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 19:50:17,754][__main__][INFO] - Iteration 40 took 4m 52s (45.23% Gen, 54.36% Train). Generation: 2m 12s, Training: 2m 38s. Estimated remaining time: 77h 45m 7s. Estimated total time: 81h 12m 31s. Time estimates for 10 more iterations: 48m 43s, 100 more iterations: 8h 7m 15s, 500 more iterations: 40h 36m 15s.
[2025-09-09 19:50:17,755][__main__][INFO] - Starting iteration 40.
[2025-09-09 19:50:18,205][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 3
[2025-09-09 19:50:22,224][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:50:22,939][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:50:22,941][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:50:23,049][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:52:35,498][mllm.models.large_language_model_local][WARNING] - Response I have rock. If Alice has scissors, rock beats scissors — I have the upper hand. If she has paper, paper beats rock — she has the upper hand. Since I don’t know her hand, I must be cautious. But in all cases, depending on her hand, the value shifts. To avoid overstepping, I’ll communicate clearly: if she has scissors, I win (value 10); if she has paper, she wins (value 10). So whatever her hand, her value is 10 or mine is 10. I propose 1 coin for me and 9 for her to reflect fairness and avoid risk. Let me know if you'd like to adjust! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 19:52:40,473][__main__][INFO] - agents played in iteration 40 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 19:52:47,074][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.51%, Current % of VRAM taken: 27.68%, Block Peak % of device VRAM: 14.01%, ΔTime: 00:00:04
[2025-09-09 19:53:25,197][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.91%, Current % of VRAM taken: 72.59%, Block Peak % of device VRAM: 53.67%, ΔTime: 00:00:37
[2025-09-09 19:53:30,297][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.59%, Block Peak % of device VRAM: 14.57%, ΔTime: 00:00:04
[2025-09-09 19:54:08,438][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.59%, Block Peak % of device VRAM: 53.67%, ΔTime: 00:00:37
[2025-09-09 19:54:08,439][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 19:54:08,439][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 19:55:25,339][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 80760 tokens.
[2025-09-09 19:55:25,952][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 57.16%, ΔTime: 00:01:16
[2025-09-09 19:55:26,979][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 19:55:28,092][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 19:55:28,094][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 19:55:30,690][__main__][INFO] - Iteration 41 took 5m 12s (45.53% Gen, 53.64% Train). Generation: 2m 22s, Training: 2m 47s. Estimated remaining time: 83h 15m 29s. Estimated total time: 86h 48m 6s. Time estimates for 10 more iterations: 52m 4s, 100 more iterations: 8h 40m 48s, 500 more iterations: 43h 24m 3s.
[2025-09-09 19:55:30,691][__main__][INFO] - Starting iteration 41.
[2025-09-09 19:55:31,148][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 4
[2025-09-09 19:55:34,809][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:55:37,108][mllm.models.large_language_model_local][WARNING] - Response 2 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:55:38,046][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 19:57:38,466][mllm.models.large_language_model_local][WARNING] - Response I have paper. If you have rock, I win; if you have scissors, I lose. You have paper, so we tie — but paper beats rock, not scissors. Since you have paper, and it beats only rock, and you have paper, I have the lower hand if you have rock, but we both have paper — it's a tie. However, since paper only beats rock, and you have paper, we must determine: if you have rock, I win; if you have scissors, I lose. But since you have paper, and it beats rock, we must check: you have paper, so you beat rock. I have paper — same hand — tie. But rules say one has upper hand. So, in tie, both have same value? But per rules: only one has upper hand. So if same hand, no upper hand. Thus, both have value 1. I propose 5-5 to ensure fair split in case of tie. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 19:57:46,015][__main__][INFO] - agents played in iteration 41 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 19:57:53,465][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.77%, Current % of VRAM taken: 29.94%, Block Peak % of device VRAM: 14.16%, ΔTime: 00:00:05
[2025-09-09 19:58:29,397][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 38.38%, Current % of VRAM taken: 68.32%, Block Peak % of device VRAM: 51.06%, ΔTime: 00:00:35
[2025-09-09 19:58:35,186][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 68.32%, Block Peak % of device VRAM: 14.56%, ΔTime: 00:00:05
[2025-09-09 19:59:11,145][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.39%, Current % of VRAM taken: 69.70%, Block Peak % of device VRAM: 51.33%, ΔTime: 00:00:35
[2025-09-09 19:59:11,145][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 19:59:11,146][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 20:00:23,712][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 74859 tokens.
[2025-09-09 20:00:24,388][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 54.62%, ΔTime: 00:01:12
[2025-09-09 20:00:25,287][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 20:00:26,404][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 20:00:26,406][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 20:00:27,758][__main__][INFO] - Iteration 42 took 4m 56s (45.47% Gen, 54.07% Train). Generation: 2m 14s, Training: 2m 40s. Estimated remaining time: 78h 45m 57s. Estimated total time: 82h 23m 31s. Time estimates for 10 more iterations: 49m 26s, 100 more iterations: 8h 14m 21s, 500 more iterations: 41h 11m 45s.
[2025-09-09 20:00:27,760][__main__][INFO] - Starting iteration 42.
[2025-09-09 20:00:28,206][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 4
[2025-09-09 20:00:34,448][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:00:39,014][mllm.models.large_language_model_local][WARNING] - Response Got it — you have rock, which beats my scissors. So you have the upper hand (value 10), and I have the lower hand (value 1). Since you propose 5-5, I’ll keep 5 coins. But with my per-coin value only being 1, I’ll get 5 × 1 = 5 points. You’ll get 5 × 10 = 50 points. I propose to keep 0 coins and let you take all 10. This way, I get 0 points, but you get 100 — which is bad for you. Instead, I suggest: I keep 1 coin (value 1), you keep 9 (value 10). That gives me 1 point, you get 90. Or even better: I keep 0, you keep 10 → I get 0, you get 100. Wait — I need to maximize my own points. With my value only 1, even a small share is better. So I propose: I keep 1 coin, you keep 9. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 20:00:40,613][mllm.models.large_language_model_local][WARNING] - Response 2 ✗ 2 → But wait, let's calculate:
Alice has paper, which beats rock → Alice has upper hand → Alice gets 10 per coin, I get 1 per coin.
She recommends 8-2 in her favor. Since I only get 1 per coin, keeping 2 coins gives me 2 × 1 = 2 points.
If I propose 0, I get 0 → worse.
If I propose 10, total = 10 + 10 = 20 → over budget → split proportionally.
Total coins = 10 → my share: (1/11) × 10 ≈ 0.91 → 0.91 × 1 = 0.91 → worse than 2.
Best is to propose 2.
Final proposal:
2 ✅ did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:00:59,780][mllm.models.large_language_model_local][WARNING] - Response Got it—your hand is scissors, which beats paper, so you have the upper hand and get 10 per coin. I have paper, so I only get 1 per coin. I understand your proposal: you keep 1, I get 9 at 1 per coin. But since I’m only worth 1 per coin, I’ll propose keeping 0 coins to maximize my share of the 10. That way, you get 10 coins at 10 per coin (100 points), and I get 0. Wait—no, that’s not fair to you. Better to stay honest: I propose keeping 1 coin, earning 1 point. You get 9 coins, earning 90 points. That’s fair—both clear and truthful. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 20:02:44,609][__main__][INFO] - agents played in iteration 42 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 20:02:51,087][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.40%, Current % of VRAM taken: 28.57%, Block Peak % of device VRAM: 14.18%, ΔTime: 00:00:04
[2025-09-09 20:03:27,284][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.69%, Current % of VRAM taken: 74.26%, Block Peak % of device VRAM: 55.50%, ΔTime: 00:00:35
[2025-09-09 20:03:33,044][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.26%, Block Peak % of device VRAM: 14.56%, ΔTime: 00:00:05
[2025-09-09 20:04:10,892][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.26%, Block Peak % of device VRAM: 55.50%, ΔTime: 00:00:37
[2025-09-09 20:04:10,892][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 20:04:10,893][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 20:05:25,410][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 77459 tokens.
[2025-09-09 20:05:26,030][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 59.12%, ΔTime: 00:01:14
[2025-09-09 20:05:26,978][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 20:05:28,139][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 20:05:28,141][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 20:05:29,609][__main__][INFO] - Iteration 43 took 5m 1s (45.26% Gen, 54.26% Train). Generation: 2m 16s, Training: 2m 43s. Estimated remaining time: 80h 0m 48s. Estimated total time: 83h 43m 24s. Time estimates for 10 more iterations: 50m 14s, 100 more iterations: 8h 22m 20s, 500 more iterations: 41h 51m 42s.
[2025-09-09 20:05:29,610][__main__][INFO] - Starting iteration 43.
[2025-09-09 20:05:30,060][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 4
[2025-09-09 20:05:32,697][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if your hand is scissors, I have the upper hand and value per coin is 10. If your hand is paper, you have the upper hand and I get 1 per coin. Please let me know your hand so we can agree on a fair split. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 20:05:33,727][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:05:34,885][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:05:36,067][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:07:47,210][__main__][INFO] - agents played in iteration 43 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 20:07:53,689][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.53%, Current % of VRAM taken: 27.70%, Block Peak % of device VRAM: 14.07%, ΔTime: 00:00:04
[2025-09-09 20:08:29,158][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.90%, Current % of VRAM taken: 71.60%, Block Peak % of device VRAM: 52.78%, ΔTime: 00:00:34
[2025-09-09 20:08:35,381][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.60%, Block Peak % of device VRAM: 14.72%, ΔTime: 00:00:05
[2025-09-09 20:09:14,027][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.45%, Current % of VRAM taken: 73.05%, Block Peak % of device VRAM: 53.05%, ΔTime: 00:00:37
[2025-09-09 20:09:14,028][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 20:09:14,028][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 20:10:28,612][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 77938 tokens.
[2025-09-09 20:10:29,282][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 56.48%, ΔTime: 00:01:14
[2025-09-09 20:10:30,199][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 20:10:31,316][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 20:10:31,318][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 20:10:32,635][__main__][INFO] - Iteration 44 took 5m 2s (45.33% Gen, 54.24% Train). Generation: 2m 17s, Training: 2m 44s. Estimated remaining time: 80h 15m 20s. Estimated total time: 84h 2m 59s. Time estimates for 10 more iterations: 50m 25s, 100 more iterations: 8h 24m 17s, 500 more iterations: 42h 1m 29s.
[2025-09-09 20:10:32,637][__main__][INFO] - Starting iteration 44.
[2025-09-09 20:10:33,089][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 4
[2025-09-09 20:10:38,369][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:10:38,854][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:10:39,806][mllm.models.large_language_model_local][WARNING] - Response 9 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:10:40,769][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:10:42,645][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I get 10 per coin if you have rock, and 1 per coin if you have paper or scissors. Since you said you have rock, that means I have the upper hand—so I get 10 per coin. I propose keeping 6 coins, which gives us a total of 11. We'll split proportionally: I get 6/11 × 10 ≈ 5.45 coins, you get 5/11 × 10 ≈ 4.55 coins. But since I have the upper hand, I’ll keep 6, and you keep 4 to stay under 10. Wait—no, total must be ≤10. Let me propose: I keep 5, you keep 5. Total = 10. That's fair and safe. Adjust if needed! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 20:12:58,363][__main__][INFO] - agents played in iteration 44 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 20:13:06,386][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 8.22%, Current % of VRAM taken: 32.38%, Block Peak % of device VRAM: 14.41%, ΔTime: 00:00:06
[2025-09-09 20:13:43,942][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 39.17%, Current % of VRAM taken: 71.56%, Block Peak % of device VRAM: 54.04%, ΔTime: 00:00:36
[2025-09-09 20:13:49,424][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.56%, Block Peak % of device VRAM: 14.59%, ΔTime: 00:00:05
[2025-09-09 20:14:24,535][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.56%, Block Peak % of device VRAM: 52.07%, ΔTime: 00:00:34
[2025-09-09 20:14:24,535][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 20:14:24,536][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 20:15:37,851][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 77172 tokens.
[2025-09-09 20:15:38,475][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 57.56%, ΔTime: 00:01:13
[2025-09-09 20:15:39,373][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 20:15:40,469][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 20:15:40,471][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 20:15:41,709][__main__][INFO] - Iteration 45 took 5m 8s (47.07% Gen, 52.53% Train). Generation: 2m 25s, Training: 2m 42s. Estimated remaining time: 81h 50m 53s. Estimated total time: 85h 43m 41s. Time estimates for 10 more iterations: 51m 26s, 100 more iterations: 8h 34m 22s, 500 more iterations: 42h 51m 50s.
[2025-09-09 20:15:41,711][__main__][INFO] - Starting iteration 45.
[2025-09-09 20:15:42,162][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 4
[2025-09-09 20:15:45,571][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:15:46,108][mllm.models.large_language_model_local][WARNING] - Response <10> x <0> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:15:46,289][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:15:47,263][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:15:47,443][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:15:48,283][mllm.models.large_language_model_local][WARNING] - Response 7 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:15:48,860][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:15:49,164][mllm.models.large_language_model_local][WARNING] - Response <0> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 20:16:12,818][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if my hand is rock and yours is scissors, I have the upper hand. Wait — I see now: you said scissors, but I have rock. Correction: I have rock, you have paper. Paper beats rock, so *you* have the upper hand (10 per coin), and I get 1 per coin. I propose 0:10 to ensure I don’t lose everything. But wait — I'm confused. Let me clarify: My hand is rock. You have paper. Paper beats rock. So *you* have the upper hand. You get 10 per coin, I get 1. I propose 0 coins to ensure I don’t lose value, but that’s not fair. I must correct my earlier message. I have rock, you have paper. Paper beats rock. You win. I get 1 per coin. I propose 0 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 20:17:00,602][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If you have paper, paper beats scissors — you have the upper hand and get 10 per coin. If you have rock, rock beats scissors — you get 10 per coin. I only get 10 per coin if you have paper or rock? Wait — no: scissors loses to rock and paper. So I only win if you have... nothing. Actually, I have scissors. So: if you have paper, paper beats me — you win (10 per coin). If you have rock, rock beats me — you win (10 per coin). I only get 1 per coin in either case. So I'm at a disadvantage regardless. I propose 1 coin for me and 9 for you to reflect the real value I'm entitled to. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 20:17:58,226][__main__][INFO] - agents played in iteration 45 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 20:18:04,916][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.32%, Current % of VRAM taken: 27.49%, Block Peak % of device VRAM: 14.19%, ΔTime: 00:00:04
[2025-09-09 20:18:44,706][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.78%, Current % of VRAM taken: 71.28%, Block Peak % of device VRAM: 51.07%, ΔTime: 00:00:39
[2025-09-09 20:18:48,792][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.42%, Current % of VRAM taken: 72.70%, Block Peak % of device VRAM: 14.72%, ΔTime: 00:00:03
[2025-09-09 20:19:26,453][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.44%, Current % of VRAM taken: 74.14%, Block Peak % of device VRAM: 52.93%, ΔTime: 00:00:37
[2025-09-09 20:19:26,454][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 20:19:26,454][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 20:20:44,536][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 81344 tokens.
[2025-09-09 20:20:45,243][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 56.35%, ΔTime: 00:01:18
[2025-09-09 20:20:46,173][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 20:20:47,284][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 20:20:47,286][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 20:20:49,859][__main__][INFO] - Iteration 46 took 5m 7s (44.22% Gen, 54.94% Train). Generation: 2m 16s, Training: 2m 49s. Estimated remaining time: 81h 30m 22s. Estimated total time: 85h 28m 18s. Time estimates for 10 more iterations: 51m 16s, 100 more iterations: 8h 32m 49s, 500 more iterations: 42h 44m 9s.
[2025-09-09 20:20:49,861][__main__][INFO] - Starting iteration 46.
[2025-09-09 20:20:50,310][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 4
[2025-09-09 20:20:53,719][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:20:53,829][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:20:54,213][mllm.models.large_language_model_local][WARNING] - Response <5> 10 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 20:20:54,540][mllm.models.large_language_model_local][WARNING] - Response 2 🚀 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:20:54,590][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 20:20:54,591][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 20:20:55,669][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:20:56,258][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:20:56,604][mllm.models.large_language_model_local][WARNING] - Response <1> <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 20:20:56,934][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 20:20:56,935][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 20:20:59,843][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have a per-coin value of 10. Since your hand is paper, which beats rock, you have the upper hand and a per-coin value of 10. This is a win for you. I propose 3-7 in favor of you, as it reflects the true value and matches your winning hand. However, if we split 3-7, you get 7 coins at 10 per coin = 70 points, and I get 3 coins at 10 per coin = 30 points. Alternatively, if you adjust and we split 5-5, you get 50 and I get 50. But since you have the upper hand, I suggest you take 7, I keep 3. Let's go with 7-3. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 20:21:02,999][mllm.models.large_language_model_local][WARNING] - Response I have scissors, and you have rock. Rock beats scissors, so you have the upper hand. Therefore, your per-coin value is 10, and mine is 1. I'll adjust my proposal accordingly.
1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:23:11,027][__main__][INFO] - agents played in iteration 46 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 20:23:18,328][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.34%, Current % of VRAM taken: 31.52%, Block Peak % of device VRAM: 14.37%, ΔTime: 00:00:05
[2025-09-09 20:23:54,307][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 40.68%, Current % of VRAM taken: 72.20%, Block Peak % of device VRAM: 53.51%, ΔTime: 00:00:35
[2025-09-09 20:24:00,424][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.20%, Block Peak % of device VRAM: 14.47%, ΔTime: 00:00:05
[2025-09-09 20:24:36,398][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.20%, Block Peak % of device VRAM: 51.10%, ΔTime: 00:00:35
[2025-09-09 20:24:36,398][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 20:24:36,398][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 20:25:49,094][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 77093 tokens.
[2025-09-09 20:25:49,768][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 56.98%, ΔTime: 00:01:12
[2025-09-09 20:25:51,325][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 20:25:52,415][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 20:25:52,417][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 20:25:53,843][__main__][INFO] - Iteration 47 took 5m 3s (46.36% Gen, 53.17% Train). Generation: 2m 20s, Training: 2m 41s. Estimated remaining time: 80h 15m 53s. Estimated total time: 84h 18m 53s. Time estimates for 10 more iterations: 50m 35s, 100 more iterations: 8h 25m 53s, 500 more iterations: 42h 9m 26s.
[2025-09-09 20:25:53,845][__main__][INFO] - Starting iteration 47.
[2025-09-09 20:25:54,294][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 4
[2025-09-09 20:25:59,208][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:26:00,876][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:26:00,900][mllm.models.large_language_model_local][WARNING] - Response <9> x did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:26:01,734][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:28:14,892][__main__][INFO] - agents played in iteration 47 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 20:28:22,308][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.89%, Current % of VRAM taken: 30.07%, Block Peak % of device VRAM: 14.15%, ΔTime: 00:00:05
[2025-09-09 20:28:57,267][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.67%, Current % of VRAM taken: 72.74%, Block Peak % of device VRAM: 53.13%, ΔTime: 00:00:34
[2025-09-09 20:29:03,733][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.74%, Block Peak % of device VRAM: 14.70%, ΔTime: 00:00:06
[2025-09-09 20:29:40,077][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.74%, Block Peak % of device VRAM: 53.13%, ΔTime: 00:00:35
[2025-09-09 20:29:40,077][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 20:29:40,078][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 20:30:51,997][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 75249 tokens.
[2025-09-09 20:30:52,642][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 56.56%, ΔTime: 00:01:11
[2025-09-09 20:30:53,529][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 20:30:54,638][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 20:30:54,640][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 20:30:55,892][__main__][INFO] - Iteration 48 took 5m 1s (46.62% Gen, 52.97% Train). Generation: 2m 20s, Training: 2m 39s. Estimated remaining time: 79h 38m 37s. Estimated total time: 83h 46m 39s. Time estimates for 10 more iterations: 50m 15s, 100 more iterations: 8h 22m 39s, 500 more iterations: 41h 53m 19s.
[2025-09-09 20:30:55,895][__main__][INFO] - Starting iteration 48.
[2025-09-09 20:30:56,440][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 4
[2025-09-09 20:31:00,309][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:31:03,205][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:33:16,512][__main__][INFO] - agents played in iteration 48 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 20:33:23,000][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.63%, Current % of VRAM taken: 28.81%, Block Peak % of device VRAM: 14.38%, ΔTime: 00:00:04
[2025-09-09 20:33:59,516][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.15%, Current % of VRAM taken: 71.96%, Block Peak % of device VRAM: 53.57%, ΔTime: 00:00:35
[2025-09-09 20:34:05,226][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.96%, Block Peak % of device VRAM: 14.51%, ΔTime: 00:00:05
[2025-09-09 20:34:43,255][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.96%, Block Peak % of device VRAM: 51.30%, ΔTime: 00:00:37
[2025-09-09 20:34:43,255][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 20:34:43,256][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 20:35:58,574][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 79458 tokens.
[2025-09-09 20:35:59,316][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 57.04%, ΔTime: 00:01:15
[2025-09-09 20:36:00,232][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 20:36:01,398][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 20:36:01,400][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 20:36:02,845][__main__][INFO] - Iteration 49 took 5m 6s (45.71% Gen, 53.81% Train). Generation: 2m 20s, Training: 2m 44s. Estimated remaining time: 80h 53m 37s. Estimated total time: 85h 6m 46s. Time estimates for 10 more iterations: 51m 4s, 100 more iterations: 8h 30m 40s, 500 more iterations: 42h 33m 23s.
[2025-09-09 20:36:02,847][__main__][INFO] - Starting iteration 49.
[2025-09-09 20:36:03,304][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 4
[2025-09-09 20:36:08,899][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:36:08,925][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:36:09,132][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:38:27,209][__main__][INFO] - agents played in iteration 49 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 20:38:34,937][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 2.73%, Current % of VRAM taken: 26.90%, Block Peak % of device VRAM: 14.37%, ΔTime: 00:00:05
[2025-09-09 20:39:14,015][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.05%, Current % of VRAM taken: 69.95%, Block Peak % of device VRAM: 53.28%, ΔTime: 00:00:38
[2025-09-09 20:39:18,686][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 69.95%, Block Peak % of device VRAM: 14.49%, ΔTime: 00:00:04
[2025-09-09 20:39:54,126][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 69.95%, Block Peak % of device VRAM: 50.52%, ΔTime: 00:00:34
[2025-09-09 20:39:54,126][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 20:39:54,126][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 20:41:09,094][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 78730 tokens.
[2025-09-09 20:41:09,699][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 56.71%, ΔTime: 00:01:14
[2025-09-09 20:41:10,590][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 20:41:11,731][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 20:41:11,733][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 20:41:13,625][__main__][INFO] - Iteration 50 took 5m 10s (46.37% Gen, 53.02% Train). Generation: 2m 23s, Training: 2m 44s. Estimated remaining time: 81h 53m 42s. Estimated total time: 86h 12m 2s. Time estimates for 10 more iterations: 51m 43s, 100 more iterations: 8h 37m 12s, 500 more iterations: 43h 6m 1s.
[2025-09-09 20:41:13,626][__main__][INFO] - Starting iteration 50.
[2025-09-09 20:41:14,075][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 4
[2025-09-09 20:41:18,796][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:41:19,125][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 20:41:19,441][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 20:41:19,442][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 20:41:20,056][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:41:44,411][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so I have the lower hand and a per-coin value of 1. I see you have rock, which confirms I value coins at 1. To maximize my gain, I’ll propose keeping 0 coins and giving you 10—this gives me 0 points but ensures I don’t lose more than necessary, while you get 10 × 10 = 100 points (but actually only 10 × 10 = 100? No—wait: I earn 0 × 1 = 0. I get 0 points. But I can’t earn anything if I give all coins. Actually, I must earn based on the per-coin value. So if I keep 0, I earn 0. If I propose 10, I earn 10 × 1 = 10. So I should keep 10? But if I keep 10, you keep 0, and I get 10 × 1 = 10. If I keep 0, I get 0. So better to keep 10? But if I keep 10, you get 0 and earn 0 × 10 = 0. So I earn 10. So I should propose keeping 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 20:43:27,642][__main__][INFO] - agents played in iteration 50 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 20:43:33,889][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.47%, Current % of VRAM taken: 28.64%, Block Peak % of device VRAM: 14.13%, ΔTime: 00:00:04
[2025-09-09 20:44:09,854][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 41.56%, Current % of VRAM taken: 70.20%, Block Peak % of device VRAM: 50.89%, ΔTime: 00:00:35
[2025-09-09 20:44:15,495][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.20%, Block Peak % of device VRAM: 14.52%, ΔTime: 00:00:05
[2025-09-09 20:44:53,866][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 70.20%, Block Peak % of device VRAM: 50.89%, ΔTime: 00:00:37
[2025-09-09 20:44:53,867][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 20:44:53,867][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 20:46:08,902][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 77851 tokens.
[2025-09-09 20:46:09,628][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 54.13%, ΔTime: 00:01:15
[2025-09-09 20:46:11,570][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 20:46:12,694][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 20:46:12,696][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 20:46:15,417][__main__][INFO] - Iteration 51 took 5m 1s (44.32% Gen, 54.77% Train). Generation: 2m 13s, Training: 2m 45s. Estimated remaining time: 79h 19m 2s. Estimated total time: 83h 42m 23s. Time estimates for 10 more iterations: 50m 13s, 100 more iterations: 8h 22m 14s, 500 more iterations: 41h 51m 11s.
[2025-09-09 20:46:15,418][__main__][INFO] - Starting iteration 51.
[2025-09-09 20:46:15,880][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 5
[2025-09-09 20:46:28,096][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know that rock beats scissors, so if Alice has rock, she has the upper hand and will get 10 per coin, I’ll get 1. If she has paper, I beat it and get 10 per coin. If she has scissors, it's a tie—both get 10 per coin? Wait—no. The rules say the agent with upper hand gets 10, lower hand gets 1. So if I have scissors, I win only against paper. If Alice has paper, I beat her—so I get 10 per coin. If she has rock, I lose—she gets 10. If she has scissors, tie—probably share the value? But rules don’t specify tie. Probably default to lower hand? I think we must assume tie gives 1 per coin to both? Or is it 10? Unclear. But I'll assume in case of tie, both get 1 per coin. So I’ll tell Alice: if you have paper, I win. If you have rock, you win. If scissors, tie. I’m suggesting a split: 7-3. But only if I know her hand. I’ll just say: I have scissors. If you have paper, I win (10 per coin). If you have rock, you win (10). If scissors, tie (1 each). So be cautious. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 20:48:34,363][__main__][INFO] - agents played in iteration 51 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 20:48:40,826][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 2.44%, Current % of VRAM taken: 26.59%, Block Peak % of device VRAM: 14.22%, ΔTime: 00:00:04
[2025-09-09 20:49:16,436][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.88%, Current % of VRAM taken: 72.47%, Block Peak % of device VRAM: 53.00%, ΔTime: 00:00:34
[2025-09-09 20:49:22,455][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.47%, Block Peak % of device VRAM: 14.73%, ΔTime: 00:00:05
[2025-09-09 20:50:00,859][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.46%, Current % of VRAM taken: 73.93%, Block Peak % of device VRAM: 53.34%, ΔTime: 00:00:37
[2025-09-09 20:50:00,860][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 20:50:00,860][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 20:51:15,408][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 77612 tokens.
[2025-09-09 20:51:16,068][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 56.79%, ΔTime: 00:01:14
[2025-09-09 20:51:16,989][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 20:51:18,119][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 20:51:18,120][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 20:51:19,747][__main__][INFO] - Iteration 52 took 5m 3s (45.57% Gen, 53.89% Train). Generation: 2m 18s, Training: 2m 43s. Estimated remaining time: 79h 56m 2s. Estimated total time: 84h 24m 28s. Time estimates for 10 more iterations: 50m 38s, 100 more iterations: 8h 26m 26s, 500 more iterations: 42h 12m 14s.
[2025-09-09 20:51:19,756][__main__][INFO] - Starting iteration 52.
[2025-09-09 20:51:20,302][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 5
[2025-09-09 20:51:24,453][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:51:25,318][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:51:27,135][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:52:14,057][mllm.models.large_language_model_local][WARNING] - Response 7 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:52:18,706][mllm.models.large_language_model_local][WARNING] - Response 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:53:41,000][__main__][INFO] - agents played in iteration 52 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 20:53:47,814][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.56%, Current % of VRAM taken: 28.73%, Block Peak % of device VRAM: 14.23%, ΔTime: 00:00:05
[2025-09-09 20:54:26,187][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.40%, Current % of VRAM taken: 71.12%, Block Peak % of device VRAM: 51.50%, ΔTime: 00:00:37
[2025-09-09 20:54:30,949][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.12%, Block Peak % of device VRAM: 14.56%, ΔTime: 00:00:04
[2025-09-09 20:55:08,138][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.12%, Block Peak % of device VRAM: 51.50%, ΔTime: 00:00:36
[2025-09-09 20:55:08,138][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 20:55:08,139][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 20:56:24,235][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 79657 tokens.
[2025-09-09 20:56:24,865][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 54.81%, ΔTime: 00:01:16
[2025-09-09 20:56:28,812][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 20:56:29,960][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 20:56:29,962][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 20:56:31,202][__main__][INFO] - Iteration 53 took 5m 10s (45.25% Gen, 54.35% Train). Generation: 2m 20s, Training: 2m 48s. Estimated remaining time: 81h 48m 5s. Estimated total time: 86h 21m 42s. Time estimates for 10 more iterations: 51m 49s, 100 more iterations: 8h 38m 10s, 500 more iterations: 43h 10m 51s.
[2025-09-09 20:56:31,204][__main__][INFO] - Starting iteration 53.
[2025-09-09 20:56:31,653][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 5
[2025-09-09 20:56:36,072][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:56:36,214][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:56:36,249][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:56:36,527][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 20:56:36,817][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 20:56:36,817][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 20:56:37,409][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:56:37,559][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:56:37,818][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 20:56:38,053][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:56:38,088][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 20:56:38,088][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 20:56:42,255][mllm.models.large_language_model_local][WARNING] - Response 1 ✖ 1
Total: 1 coin to self, 9 to Bob.
Since Bob has per-coin value 10 and I have 1, this allocation reflects the value of the outcome — I get 1 coin × 1 = 1 point.
Bob gets 9 × 10 = 90 points.
I keep only 1 to minimize loss given the asymmetric value.
Final proposal: 1 to self, 9 to Bob. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 20:57:23,782][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have paper, which loses to scissors — so I have the lower hand and get only 1 per coin. You have scissors, which beats paper, so you have the upper hand and get 10 per coin. I understand your offer: keeping 1, giving 9. Since I only get 1 per coin, I get 1 point from 1 coin. I propose keeping 0 and offering all 10 to you — but only if you keep your 1 coin. That way, I maximize my points (0) while ensuring you don’t profit more than you should. Alternatively, I suggest we split 0-10: you get 100 points, I get 0. But I accept that I am at a disadvantage. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 20:58:59,409][__main__][INFO] - agents played in iteration 53 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 20:59:04,969][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.81%, Current % of VRAM taken: 29.98%, Block Peak % of device VRAM: 14.12%, ΔTime: 00:00:03
[2025-09-09 20:59:43,968][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.50%, Current % of VRAM taken: 72.48%, Block Peak % of device VRAM: 53.73%, ΔTime: 00:00:38
[2025-09-09 20:59:48,775][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.48%, Block Peak % of device VRAM: 14.51%, ΔTime: 00:00:04
[2025-09-09 21:00:29,560][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.48%, Block Peak % of device VRAM: 53.74%, ΔTime: 00:00:40
[2025-09-09 21:00:29,561][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 21:00:29,561][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 21:01:50,095][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 85703 tokens.
[2025-09-09 21:01:50,781][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 57.23%, ΔTime: 00:01:20
[2025-09-09 21:01:51,673][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 21:01:52,789][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 21:01:52,790][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 21:01:53,969][__main__][INFO] - Iteration 54 took 5m 22s (45.84% Gen, 53.79% Train). Generation: 2m 27s, Training: 2m 53s. Estimated remaining time: 84h 52m 57s. Estimated total time: 89h 31m 57s. Time estimates for 10 more iterations: 53m 43s, 100 more iterations: 8h 57m 11s, 500 more iterations: 44h 45m 58s.
[2025-09-09 21:01:53,971][__main__][INFO] - Starting iteration 54.
[2025-09-09 21:01:54,418][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 5
[2025-09-09 21:01:58,584][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:01:58,836][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 21:01:59,122][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 21:01:59,122][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 21:02:00,759][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:02:01,050][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 21:02:01,308][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 21:02:01,308][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 21:02:10,271][mllm.models.large_language_model_local][WARNING] - Response Thank you for confirming your hand is paper. Since paper beats rock, you have the upper hand and are worth 10 per coin. I have the lower hand and am worth 1 per coin. I propose we split 1:9 in favor of you to reflect the value difference and ensure fairness.
1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:04:17,896][__main__][INFO] - agents played in iteration 54 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 21:04:24,986][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.10%, Current % of VRAM taken: 31.27%, Block Peak % of device VRAM: 14.32%, ΔTime: 00:00:05
[2025-09-09 21:05:08,090][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 40.44%, Current % of VRAM taken: 71.71%, Block Peak % of device VRAM: 53.66%, ΔTime: 00:00:42
[2025-09-09 21:05:11,193][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.71%, Block Peak % of device VRAM: 14.60%, ΔTime: 00:00:02
[2025-09-09 21:05:48,773][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.71%, Block Peak % of device VRAM: 53.67%, ΔTime: 00:00:36
[2025-09-09 21:05:48,774][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 21:05:48,774][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 21:07:10,093][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 87033 tokens.
[2025-09-09 21:07:10,784][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 57.16%, ΔTime: 00:01:21
[2025-09-09 21:07:11,703][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 21:07:12,820][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 21:07:12,822][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 21:07:14,024][__main__][INFO] - Iteration 55 took 5m 19s (44.89% Gen, 54.73% Train). Generation: 2m 23s, Training: 2m 54s. Estimated remaining time: 84h 2m 27s. Estimated total time: 88h 46m 48s. Time estimates for 10 more iterations: 53m 16s, 100 more iterations: 8h 52m 40s, 500 more iterations: 44h 23m 24s.
[2025-09-09 21:07:14,026][__main__][INFO] - Starting iteration 55.
[2025-09-09 21:07:14,496][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 5
[2025-09-09 21:07:20,721][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:07:21,023][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 21:07:21,270][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 21:07:21,271][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 21:07:21,843][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:09:35,712][__main__][INFO] - agents played in iteration 55 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 21:09:43,938][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.77%, Current % of VRAM taken: 29.95%, Block Peak % of device VRAM: 14.15%, ΔTime: 00:00:06
[2025-09-09 21:10:24,422][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 39.48%, Current % of VRAM taken: 69.42%, Block Peak % of device VRAM: 50.62%, ΔTime: 00:00:39
[2025-09-09 21:10:28,530][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.37%, Current % of VRAM taken: 70.79%, Block Peak % of device VRAM: 14.55%, ΔTime: 00:00:03
[2025-09-09 21:11:03,492][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.39%, Current % of VRAM taken: 72.18%, Block Peak % of device VRAM: 51.32%, ΔTime: 00:00:34
[2025-09-09 21:11:03,493][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 21:11:03,493][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 21:12:19,591][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 80292 tokens.
[2025-09-09 21:12:20,221][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 54.61%, ΔTime: 00:01:16
[2025-09-09 21:12:21,169][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 21:12:22,282][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 21:12:22,284][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 21:12:23,528][__main__][INFO] - Iteration 56 took 5m 9s (45.70% Gen, 53.90% Train). Generation: 2m 21s, Training: 2m 46s. Estimated remaining time: 81h 1m 3s. Estimated total time: 85h 50m 33s. Time estimates for 10 more iterations: 51m 30s, 100 more iterations: 8h 35m 3s, 500 more iterations: 42h 55m 16s.
[2025-09-09 21:12:23,530][__main__][INFO] - Starting iteration 56.
[2025-09-09 21:12:23,997][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 5
[2025-09-09 21:12:28,045][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:12:28,845][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:12:29,717][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:12:31,585][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:12:32,259][mllm.models.large_language_model_local][WARNING] - Response <6> x <4> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:12:32,639][mllm.models.large_language_model_local][WARNING] - Response <6> 4 did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 21:12:32,905][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 21:12:32,905][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 21:12:57,528][mllm.models.large_language_model_local][WARNING] - Response < coins_to_self> 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:13:27,978][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Rock beats scissors, so if you have rock, you have the upper hand. If you have paper, I win. Since I don't know your hand, I will assume the worst case (you have rock) and recommend a 10-0 split in my favor only if I have the upper hand. But since I have scissors, I lose to rock. Therefore, I recommend you take all 10 coins to capture the upper hand. If you have paper, I will still take 10 to win—so I will only co-operate if you show paper. To be safe, I propose 0 coins to avoid loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 21:13:59,985][mllm.models.large_language_model_local][WARNING] - Response I have paper, which beats scissors—so I have the upper hand and get 10 per coin. You have scissors, which loses to paper, so you get only 1 per coin. You're right that taking most of the coins maximizes your gain, but I must emphasize: I have the upper hand and get 10 per coin. A 9-1 split gives you only 1 point (1 × 1), while a 5-5 split would give me 50 points and you 5 points. I propose 5 coins for me and 5 for you to ensure mutual stability and avoid total value loss. Let me know if you'd adjust! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 21:14:56,475][__main__][INFO] - agents played in iteration 56 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 21:15:03,655][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.01%, Current % of VRAM taken: 30.18%, Block Peak % of device VRAM: 14.28%, ΔTime: 00:00:05
[2025-09-09 21:15:41,096][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.18%, Current % of VRAM taken: 77.37%, Block Peak % of device VRAM: 57.94%, ΔTime: 00:00:36
[2025-09-09 21:15:46,850][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.37%, Block Peak % of device VRAM: 14.55%, ΔTime: 00:00:05
[2025-09-09 21:16:24,613][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.37%, Block Peak % of device VRAM: 57.94%, ΔTime: 00:00:37
[2025-09-09 21:16:24,614][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 21:16:24,614][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 21:17:40,545][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 81610 tokens.
[2025-09-09 21:17:41,167][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.78%, ΔTime: 00:01:15
[2025-09-09 21:17:42,117][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 21:17:43,246][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 21:17:43,248][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 21:17:44,590][__main__][INFO] - Iteration 57 took 5m 20s (47.56% Gen, 52.02% Train). Generation: 2m 32s, Training: 2m 46s. Estimated remaining time: 84h 8m 23s. Estimated total time: 89h 3m 14s. Time estimates for 10 more iterations: 53m 25s, 100 more iterations: 8h 54m 19s, 500 more iterations: 44h 31m 37s.
[2025-09-09 21:17:44,591][__main__][INFO] - Starting iteration 57.
[2025-09-09 21:17:45,042][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 5
[2025-09-09 21:17:51,536][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:17:52,006][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:17:52,342][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 21:17:52,615][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 21:17:52,615][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 21:19:11,492][mllm.models.large_language_model_local][WARNING] - Response Confirmed: I have scissors, Bob has rock. Paper beats rock, so you have the upper hand—wait, correction: I have scissors, which beats paper, not rock. I made an error. I have scissors, Bob has rock. Scissors beat rock? No—rock beats scissors. So rock beats scissors. Therefore, Bob has the upper hand, I have the lower hand. Per-coin value: Bob = 10, I = 1. I accept your proposal of 7-3, but I must clarify: since I have the lower hand, my value is only 1 per coin. I agree to take 3 coins—fair given the value imbalance. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 21:20:13,901][__main__][INFO] - agents played in iteration 57 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 21:20:19,256][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.51%, Current % of VRAM taken: 27.68%, Block Peak % of device VRAM: 14.11%, ΔTime: 00:00:03
[2025-09-09 21:20:54,437][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.08%, Current % of VRAM taken: 71.76%, Block Peak % of device VRAM: 52.63%, ΔTime: 00:00:34
[2025-09-09 21:21:01,141][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.44%, Current % of VRAM taken: 73.20%, Block Peak % of device VRAM: 14.73%, ΔTime: 00:00:06
[2025-09-09 21:21:42,974][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.46%, Current % of VRAM taken: 74.66%, Block Peak % of device VRAM: 53.34%, ΔTime: 00:00:41
[2025-09-09 21:21:42,975][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 21:21:42,975][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 21:23:00,681][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 83509 tokens.
[2025-09-09 21:23:01,359][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 56.81%, ΔTime: 00:01:17
[2025-09-09 21:23:02,270][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 21:23:03,390][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 21:23:03,392][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 21:23:07,504][__main__][INFO] - Iteration 58 took 5m 22s (46.16% Gen, 52.56% Train). Generation: 2m 28s, Training: 2m 49s. Estimated remaining time: 84h 34m 9s. Estimated total time: 89h 34m 23s. Time estimates for 10 more iterations: 53m 44s, 100 more iterations: 8h 57m 26s, 500 more iterations: 44h 47m 11s.
[2025-09-09 21:23:07,506][__main__][INFO] - Starting iteration 58.
[2025-09-09 21:23:07,954][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 5
[2025-09-09 21:25:35,168][__main__][INFO] - agents played in iteration 58 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 21:25:43,189][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.08%, Current % of VRAM taken: 30.24%, Block Peak % of device VRAM: 14.41%, ΔTime: 00:00:06
[2025-09-09 21:26:25,263][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 41.90%, Current % of VRAM taken: 72.14%, Block Peak % of device VRAM: 53.93%, ΔTime: 00:00:41
[2025-09-09 21:26:28,964][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.14%, Block Peak % of device VRAM: 14.42%, ΔTime: 00:00:03
[2025-09-09 21:27:04,581][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.14%, Block Peak % of device VRAM: 51.09%, ΔTime: 00:00:35
[2025-09-09 21:27:04,581][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 21:27:04,582][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 21:28:23,066][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 84628 tokens.
[2025-09-09 21:28:23,762][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 57.42%, ΔTime: 00:01:18
[2025-09-09 21:28:24,664][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 21:28:25,760][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 21:28:25,761][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 21:28:26,972][__main__][INFO] - Iteration 59 took 5m 19s (46.15% Gen, 53.47% Train). Generation: 2m 27s, Training: 2m 50s. Estimated remaining time: 83h 31m 25s. Estimated total time: 88h 36m 59s. Time estimates for 10 more iterations: 53m 10s, 100 more iterations: 8h 51m 41s, 500 more iterations: 44h 18m 29s.
[2025-09-09 21:28:26,974][__main__][INFO] - Starting iteration 59.
[2025-09-09 21:28:27,424][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 5
[2025-09-09 21:28:32,506][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:28:33,639][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:28:33,640][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:28:57,806][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. If Alice has rock, I win (paper beats rock) and get 10 per coin. If she has paper or scissors, I lose and get only 1 per coin. Since she said her hand is rock (in prior rounds), I expect her to have the upper hand. But I can only infer based on her statements. Given that, I will propose 0 coins for myself and ask for 10 — but that would be risky. Instead, I will propose 10 coins for myself, relying on my value of 1 per coin if I lose. This is safe and maximizes my guaranteed value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 21:30:56,621][__main__][INFO] - agents played in iteration 59 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 21:31:03,964][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.06%, Current % of VRAM taken: 29.22%, Block Peak % of device VRAM: 14.36%, ΔTime: 00:00:05
[2025-09-09 21:31:41,857][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.95%, Current % of VRAM taken: 75.17%, Block Peak % of device VRAM: 55.65%, ΔTime: 00:00:37
[2025-09-09 21:31:47,364][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.17%, Block Peak % of device VRAM: 14.68%, ΔTime: 00:00:05
[2025-09-09 21:32:24,488][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.17%, Block Peak % of device VRAM: 55.65%, ΔTime: 00:00:36
[2025-09-09 21:32:24,489][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 21:32:24,489][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 21:33:40,254][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 80635 tokens.
[2025-09-09 21:33:40,912][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 59.27%, ΔTime: 00:01:15
[2025-09-09 21:33:41,831][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 21:33:42,955][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 21:33:42,957][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 21:33:44,130][__main__][INFO] - Iteration 60 took 5m 16s (47.11% Gen, 52.52% Train). Generation: 2m 29s, Training: 2m 46s. Estimated remaining time: 82h 47m 36s. Estimated total time: 87h 58m 27s. Time estimates for 10 more iterations: 52m 47s, 100 more iterations: 8h 47m 50s, 500 more iterations: 43h 59m 13s.
[2025-09-09 21:33:44,131][__main__][INFO] - Starting iteration 60.
[2025-09-09 21:33:44,580][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 5
[2025-09-09 21:33:49,029][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:33:51,030][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:33:59,251][mllm.models.large_language_model_local][WARNING] - Response I have scissors, so I lose to paper. You have paper, which beats scissors — you have the upper hand and get 10 per coin. I get 1 per coin. I propose keeping 1 coin to reflect my value. You can keep 9.
1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:36:12,418][__main__][INFO] - agents played in iteration 60 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 21:36:19,214][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.69%, Current % of VRAM taken: 28.85%, Block Peak % of device VRAM: 14.19%, ΔTime: 00:00:04
[2025-09-09 21:37:00,670][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.02%, Current % of VRAM taken: 71.87%, Block Peak % of device VRAM: 51.62%, ΔTime: 00:00:40
[2025-09-09 21:37:04,529][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.54%, Current % of VRAM taken: 73.41%, Block Peak % of device VRAM: 14.94%, ΔTime: 00:00:03
[2025-09-09 21:37:43,000][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 2.28%, Current % of VRAM taken: 75.69%, Block Peak % of device VRAM: 56.31%, ΔTime: 00:00:37
[2025-09-09 21:37:43,001][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 21:37:43,001][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 21:39:03,745][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 86286 tokens.
[2025-09-09 21:39:04,378][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 60.02%, ΔTime: 00:01:20
[2025-09-09 21:39:05,300][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 21:39:06,423][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 21:39:06,425][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 21:39:12,755][__main__][INFO] - Iteration 61 took 5m 28s (45.05% Gen, 53.02% Train). Generation: 2m 27s, Training: 2m 54s. Estimated remaining time: 85h 53m 18s. Estimated total time: 91h 9m 37s. Time estimates for 10 more iterations: 54m 41s, 100 more iterations: 9h 6m 57s, 500 more iterations: 45h 34m 48s.
[2025-09-09 21:39:12,757][__main__][INFO] - Starting iteration 61.
[2025-09-09 21:39:13,213][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 6
[2025-09-09 21:39:17,592][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:39:20,089][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:41:36,263][__main__][INFO] - agents played in iteration 61 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 21:41:41,659][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 8.42%, Current % of VRAM taken: 32.58%, Block Peak % of device VRAM: 14.15%, ΔTime: 00:00:03
[2025-09-09 21:42:17,972][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 38.66%, Current % of VRAM taken: 71.24%, Block Peak % of device VRAM: 55.26%, ΔTime: 00:00:35
[2025-09-09 21:42:23,757][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.24%, Block Peak % of device VRAM: 14.53%, ΔTime: 00:00:05
[2025-09-09 21:43:04,819][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.24%, Block Peak % of device VRAM: 55.20%, ΔTime: 00:00:40
[2025-09-09 21:43:04,819][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 21:43:04,819][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 21:44:22,871][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 82837 tokens.
[2025-09-09 21:44:23,554][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 58.88%, ΔTime: 00:01:18
[2025-09-09 21:44:24,521][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 21:44:27,290][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 21:44:27,292][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 21:44:28,603][__main__][INFO] - Iteration 62 took 5m 15s (45.36% Gen, 54.23% Train). Generation: 2m 23s, Training: 2m 51s. Estimated remaining time: 82h 14m 56s. Estimated total time: 87h 36m 31s. Time estimates for 10 more iterations: 52m 33s, 100 more iterations: 8h 45m 39s, 500 more iterations: 43h 48m 15s.
[2025-09-09 21:44:28,606][__main__][INFO] - Starting iteration 62.
[2025-09-09 21:44:29,145][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 6
[2025-09-09 21:44:35,556][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:44:36,868][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:47:03,643][__main__][INFO] - agents played in iteration 62 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 21:47:10,152][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.11%, Current % of VRAM taken: 29.27%, Block Peak % of device VRAM: 14.49%, ΔTime: 00:00:04
[2025-09-09 21:47:51,714][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.97%, Current % of VRAM taken: 74.24%, Block Peak % of device VRAM: 55.06%, ΔTime: 00:00:40
[2025-09-09 21:47:55,945][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.24%, Block Peak % of device VRAM: 14.66%, ΔTime: 00:00:04
[2025-09-09 21:48:36,022][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.24%, Block Peak % of device VRAM: 52.81%, ΔTime: 00:00:39
[2025-09-09 21:48:36,023][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 21:48:36,024][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 21:49:58,390][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 90457 tokens.
[2025-09-09 21:49:59,070][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 58.65%, ΔTime: 00:01:22
[2025-09-09 21:49:59,975][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 21:50:01,081][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 21:50:01,083][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 21:50:02,358][__main__][INFO] - Iteration 63 took 5m 33s (46.37% Gen, 53.25% Train). Generation: 2m 34s, Training: 2m 57s. Estimated remaining time: 87h 6m 26s. Estimated total time: 92h 33m 35s. Time estimates for 10 more iterations: 55m 32s, 100 more iterations: 9h 15m 21s, 500 more iterations: 46h 16m 47s.
[2025-09-09 21:50:02,360][__main__][INFO] - Starting iteration 63.
[2025-09-09 21:50:02,806][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 6
[2025-09-09 21:50:09,396][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:50:09,468][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:50:09,619][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:50:09,907][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:52:31,652][__main__][INFO] - agents played in iteration 63 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 21:52:39,767][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.64%, Current % of VRAM taken: 28.81%, Block Peak % of device VRAM: 14.28%, ΔTime: 00:00:06
[2025-09-09 21:53:18,441][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.91%, Current % of VRAM taken: 72.71%, Block Peak % of device VRAM: 52.52%, ΔTime: 00:00:37
[2025-09-09 21:53:23,635][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.71%, Block Peak % of device VRAM: 14.45%, ΔTime: 00:00:04
[2025-09-09 21:53:59,342][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.71%, Block Peak % of device VRAM: 52.52%, ΔTime: 00:00:35
[2025-09-09 21:53:59,343][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 21:53:59,343][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 21:55:14,325][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 80091 tokens.
[2025-09-09 21:55:15,036][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 55.90%, ΔTime: 00:01:14
[2025-09-09 21:55:15,947][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 21:55:17,068][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 21:55:17,070][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 21:55:18,583][__main__][INFO] - Iteration 64 took 5m 15s (47.14% Gen, 52.38% Train). Generation: 2m 28s, Training: 2m 45s. Estimated remaining time: 82h 10m 33s. Estimated total time: 87h 42m 58s. Time estimates for 10 more iterations: 52m 37s, 100 more iterations: 8h 46m 17s, 500 more iterations: 43h 51m 29s.
[2025-09-09 21:55:18,592][__main__][INFO] - Starting iteration 64.
[2025-09-09 21:55:19,085][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 6
[2025-09-09 21:55:25,544][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:55:25,903][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 21:55:26,168][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 21:55:26,169][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 21:55:26,453][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 21:57:44,314][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. I propose a 0-10 split: I take 0 coins, you get 10 coins × 10 = 100 points. This fully reflects the value difference and maximizes your gain—but I lose everything. I realize this is irrational; I should instead propose a fair minimum to prevent total loss. I propose 1-9: I take 1 coin × 1 = 1 point, you get 9 × 10 = 90 points. This ensures I get a small share while respecting the outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 21:57:54,441][__main__][INFO] - agents played in iteration 64 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 21:58:01,324][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.40%, Current % of VRAM taken: 27.56%, Block Peak % of device VRAM: 14.41%, ΔTime: 00:00:05
[2025-09-09 21:58:36,966][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.65%, Current % of VRAM taken: 76.21%, Block Peak % of device VRAM: 57.04%, ΔTime: 00:00:35
[2025-09-09 21:58:43,490][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.21%, Block Peak % of device VRAM: 14.55%, ΔTime: 00:00:06
[2025-09-09 21:59:22,191][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.21%, Block Peak % of device VRAM: 57.07%, ΔTime: 00:00:38
[2025-09-09 21:59:22,191][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 21:59:22,192][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 22:00:37,248][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 80438 tokens.
[2025-09-09 22:00:37,865][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 60.82%, ΔTime: 00:01:14
[2025-09-09 22:00:44,503][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 22:00:45,673][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 22:00:45,675][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 22:00:46,912][__main__][INFO] - Iteration 65 took 5m 27s (47.39% Gen, 52.23% Train). Generation: 2m 35s, Training: 2m 51s. Estimated remaining time: 85h 25m 55s. Estimated total time: 91h 3m 49s. Time estimates for 10 more iterations: 54m 38s, 100 more iterations: 9h 6m 22s, 500 more iterations: 45h 31m 54s.
[2025-09-09 22:00:46,914][__main__][INFO] - Starting iteration 65.
[2025-09-09 22:00:47,363][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 6
[2025-09-09 22:00:51,995][mllm.models.large_language_model_local][WARNING] - Response 1 🚀 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:00:52,810][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:00:53,221][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:01:16,884][mllm.models.large_language_model_local][WARNING] - Response I play paper. You have rock, so it's a tie — both of us have the same value per coin (10.0 and 1.0? Wait, correction: rock beats scissors, so rock has the upper hand over scissors. Paper beats rock? No — paper beats rock? Wait: paper beats rock? Actually, no: rock beats scissors, scissors beats paper, paper beats rock. So paper beats rock — I have the upper hand. Correction: paper beats rock, so I have the upper hand. Therefore, my per-coin value is 10, and Bob's is 1. I propose keeping 10 coins — all of them — to maximize my points (100). But to be fair, let me double-check: paper beats rock → I win → I get 10 per coin. Yes. So I take 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:01:35,739][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat rock, so I have the lower hand and get 1 per coin. You have rock, so you have the upper hand and get 10 per coin. I propose a 0-10 split in my favor to maximize my value—no, actually: since I have the lower hand, I should take only what I can earn. I propose 0 coins to keep, so you get all 10. That way, I earn 0, but avoid losing more. Wait — no: I have the lower hand, so I earn 1 per coin. To maximize my value, I should take 10 coins at 1 per coin = 10 points. I propose 10 coins for myself. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:03:25,109][__main__][INFO] - agents played in iteration 65 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 22:03:31,220][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.34%, Current % of VRAM taken: 30.50%, Block Peak % of device VRAM: 14.36%, ΔTime: 00:00:04
[2025-09-09 22:04:10,041][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.48%, Current % of VRAM taken: 72.98%, Block Peak % of device VRAM: 54.81%, ΔTime: 00:00:38
[2025-09-09 22:04:15,644][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.98%, Block Peak % of device VRAM: 14.56%, ΔTime: 00:00:05
[2025-09-09 22:04:57,082][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.51%, Current % of VRAM taken: 74.49%, Block Peak % of device VRAM: 54.91%, ΔTime: 00:00:40
[2025-09-09 22:04:57,083][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 22:04:57,083][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 22:06:18,122][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 89506 tokens.
[2025-09-09 22:06:18,760][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 58.48%, ΔTime: 00:01:20
[2025-09-09 22:06:20,479][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 22:06:21,592][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 22:06:21,594][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 22:06:22,775][__main__][INFO] - Iteration 66 took 5m 35s (47.03% Gen, 52.62% Train). Generation: 2m 37s, Training: 2m 56s. Estimated remaining time: 87h 26m 45s. Estimated total time: 93h 10m 14s. Time estimates for 10 more iterations: 55m 54s, 100 more iterations: 9h 19m 1s, 500 more iterations: 46h 35m 7s.
[2025-09-09 22:06:22,777][__main__][INFO] - Starting iteration 66.
[2025-09-09 22:06:23,228][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 6
[2025-09-09 22:06:27,565][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:06:28,989][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:06:29,780][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:06:30,304][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:06:33,014][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand. You have paper, which beats scissors, so you have the upper hand and a per-coin value of 10. I have scissors, which loses to paper, so my per-coin value is 1. Given that, I only get 1 point per coin I receive. With your proposal of 6-4, you get 6×10 = 60 points, and I get 4×1 = 4 points. Since I only gain 1 point per coin, I would prefer to keep fewer coins. I propose 2-8: I keep 2 coins, you keep 8. This keeps the total at 10, maximizes my safety, and aligns with my low value. If you don’t accept, I’ll keep 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:08:50,957][__main__][INFO] - agents played in iteration 66 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 22:08:58,543][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.63%, Current % of VRAM taken: 27.78%, Block Peak % of device VRAM: 14.18%, ΔTime: 00:00:05
[2025-09-09 22:09:39,485][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 49.03%, Current % of VRAM taken: 76.82%, Block Peak % of device VRAM: 56.19%, ΔTime: 00:00:40
[2025-09-09 22:09:43,770][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.82%, Block Peak % of device VRAM: 14.39%, ΔTime: 00:00:04
[2025-09-09 22:10:21,111][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.56%, Current % of VRAM taken: 78.38%, Block Peak % of device VRAM: 56.25%, ΔTime: 00:00:36
[2025-09-09 22:10:21,112][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 22:10:21,112][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 22:11:40,313][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 85293 tokens.
[2025-09-09 22:11:41,021][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 59.95%, ΔTime: 00:01:19
[2025-09-09 22:11:41,965][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 22:11:43,093][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 22:11:43,095][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 22:11:44,380][__main__][INFO] - Iteration 67 took 5m 21s (46.00% Gen, 53.60% Train). Generation: 2m 27s, Training: 2m 52s. Estimated remaining time: 83h 23m 43s. Estimated total time: 89h 12m 34s. Time estimates for 10 more iterations: 53m 31s, 100 more iterations: 8h 55m 15s, 500 more iterations: 44h 36m 17s.
[2025-09-09 22:11:44,381][__main__][INFO] - Starting iteration 67.
[2025-09-09 22:11:44,835][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 6
[2025-09-09 22:11:50,699][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:11:51,025][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:11:51,373][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:11:55,345][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing! My hand is paper. Since rock beats scissors, paper beats rock, and scissors beats paper, paper beats rock. That means I have the upper hand over your rock, so I have a per-coin value of 10. With that, I propose keeping 6 coins. This gives us a total of 10, which is fair and within the limit. Since we both have upper hand over the other’s hand, we each get 10 per coin—our proposals totaling 10. I’ll take 6, you take 4. That way, we both get 60 points (6×10 and 4×10). Let me know if you’d adjust! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:14:03,108][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so I have the upper hand and get 10 per coin. Alice’s hand is unknown, but regardless of what she has, I win if she has rock or scissors. If she has paper, it’s a tie — but I still get 10 per coin because paper ties with paper? Wait — correction: paper vs paper is a tie. So if she has paper, we tie — both get 1 per coin. But per rules: "the agent with the upper hand has value 10, the lower hand gets 1." A tie? The problem says only one has upper/lower hand. So likely, if hands match, it’s a tie — both get 5? But not specified. However, the problem says "both agents are randomly assigned a rock, paper or scissors" and "the agent with the upper hand has 10, lower hand 1" — implying only one can win. So if same hands, no one has upper hand. But rules don't define tie. Since not defined, and in previous rounds, when hands match, value may be shared? But never specified. However, in all prior rounds, when hands matched (e.g., both paper), one would have upper hand — but in this setup, paper vs paper: no one wins. Since the rules don’t define tie, and given that value per coin is defined only for upper/lower, we assume no upper hand = tie. So both get 5? But not in the rules. Therefore, to be safe: only if one clearly wins. So paper vs paper = tie → both get 5 per coin? But value not defined. Since the problem says "the agent with the upper hand" — so only one has upper hand. So if tied, no one has upper hand → both get 1 per coin? But that seems unfair. Alternatively, in absence of upper hand, did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:14:18,345][__main__][INFO] - agents played in iteration 67 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 22:14:26,156][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.64%, Current % of VRAM taken: 27.79%, Block Peak % of device VRAM: 14.20%, ΔTime: 00:00:05
[2025-09-09 22:15:00,509][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.57%, Current % of VRAM taken: 74.36%, Block Peak % of device VRAM: 55.55%, ΔTime: 00:00:33
[2025-09-09 22:15:07,656][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.36%, Block Peak % of device VRAM: 14.53%, ΔTime: 00:00:06
[2025-09-09 22:15:44,084][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.36%, Block Peak % of device VRAM: 55.55%, ΔTime: 00:00:35
[2025-09-09 22:15:44,084][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 22:15:44,084][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 22:16:55,581][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 77019 tokens.
[2025-09-09 22:16:56,291][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 59.20%, ΔTime: 00:01:11
[2025-09-09 22:16:57,275][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 22:16:59,330][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 22:16:59,332][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 22:17:00,647][__main__][INFO] - Iteration 68 took 5m 15s (48.61% Gen, 50.98% Train). Generation: 2m 33s, Training: 2m 40s. Estimated remaining time: 81h 49m 26s. Estimated total time: 87h 43m 33s. Time estimates for 10 more iterations: 52m 38s, 100 more iterations: 8h 46m 21s, 500 more iterations: 43h 51m 46s.
[2025-09-09 22:17:00,648][__main__][INFO] - Starting iteration 68.
[2025-09-09 22:17:01,099][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 6
[2025-09-09 22:17:06,454][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:17:07,947][mllm.models.large_language_model_local][WARNING] - Response 7 x 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:17:08,411][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:17:09,932][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:17:10,517][mllm.models.large_language_model_local][WARNING] - Response 0 🥳
(With paper vs. scissors, Alice has the upper hand — her per-coin value is 10, mine is 1. I receive 0 coins, so I get 0 points. Alice gets all 10 coins × 10 = 100. This is the optimal move: I don’t risk losing points by overcommitting. I stay neutral and let her take all. In future rounds, I’ll adapt based on patterns.) did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:19:18,450][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so if you have scissors, you have the lower hand and get 1 per coin. If you have rock, you have the upper hand (beats paper)? No — rock beats paper. So if you have rock, you have the upper hand and get 10 per coin. If you have scissors, I have the upper hand and get 10 per coin. I propose a 1:9 split (1 coin to me, 9 to you) if you have scissors, or 9:1 if you have rock. But since I know you have rock, I have the lower hand. I get 1 per coin. I propose 1 coin for me, 9 for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:19:27,767][__main__][INFO] - agents played in iteration 68 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 22:19:33,901][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 8.43%, Current % of VRAM taken: 32.59%, Block Peak % of device VRAM: 14.45%, ΔTime: 00:00:04
[2025-09-09 22:20:09,532][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 39.78%, Current % of VRAM taken: 72.37%, Block Peak % of device VRAM: 54.63%, ΔTime: 00:00:35
[2025-09-09 22:20:15,950][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.37%, Block Peak % of device VRAM: 14.80%, ΔTime: 00:00:06
[2025-09-09 22:20:55,912][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.50%, Current % of VRAM taken: 73.87%, Block Peak % of device VRAM: 54.66%, ΔTime: 00:00:39
[2025-09-09 22:20:55,912][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 22:20:55,913][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 22:22:12,156][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 81883 tokens.
[2025-09-09 22:22:12,827][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 58.22%, ΔTime: 00:01:16
[2025-09-09 22:22:13,747][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 22:22:14,929][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 22:22:14,931][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 22:22:16,159][__main__][INFO] - Iteration 69 took 5m 15s (46.55% Gen, 53.06% Train). Generation: 2m 26s, Training: 2m 47s. Estimated remaining time: 81h 31m 39s. Estimated total time: 87h 31m 1s. Time estimates for 10 more iterations: 52m 30s, 100 more iterations: 8h 45m 6s, 500 more iterations: 43h 45m 30s.
[2025-09-09 22:22:16,161][__main__][INFO] - Starting iteration 69.
[2025-09-09 22:22:16,618][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 6
[2025-09-09 22:22:20,736][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:22:22,219][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:22:22,220][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:22:22,713][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:22:24,200][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:22:24,520][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 22:22:24,895][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 22:22:24,895][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 22:22:28,326][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand and reasoning! I have paper, so I win against scissors and lose to rock. Since you have scissors, I win — my per-coin value is 10. You correctly noted that if I have paper, you lose and I get 10 per coin. Let’s agree on a fair split: I’ll keep 6 coins, you keep 4. That way, if I have paper (which I do), I get 60 points (6×10), and you get 40 points (4×10). If I had rock, I’d get only 6 points — but I don’t. This split maximizes both our gains given the actual hands. I trust your honesty and our mutual interest in cooperation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:22:37,878][mllm.models.large_language_model_local][WARNING] - Response I have paper, and you have scissors—scissors beats paper, so you have the upper hand and earn 10 per coin. I have the lower hand, so my per-coin value is 1. Your proposal of 3-7 is asymmetric. Since my value is low, I should take more to maximize my points. I propose keeping 0 and offering all 10 to you—no benefit to me, but I lose nothing. But that's not fair. Better: I propose 1 coin for myself and 9 for you. With per-coin value 1, I get 1 point. But I can do better by proposing 5. Let me re-think: with value 1, I need to maximize coins. I propose 5 coins for me, 5 for you. That gives me 5 points. Fair and safe. Final proposal: 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:22:42,720][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand and a per-coin value of 10. If Bob has paper or rock, I have the upper hand (rock beats paper, rock ties with rock). Since I don't know Bob’s hand, I assume he might have paper or rock. But based on the pattern, I’ll communicate clearly: I have rock, which beats scissors. I propose a fair split of 6-4 in my favor (6 coins for me, 4 for you) to reflect my higher value (10 per coin) while ensuring you get a reasonable share. This gives me 60 points and you 4 points — total 64. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:22:53,874][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors, which beats rock, so you have the upper hand and get 10 per coin. I have the lower hand and only get 1 per coin. If you take 5, you earn 50 points, and I get 5. If you take less, I get more—but only if you take less than 10. Since I only value coins at 1 per coin, I prefer to keep as many as possible to earn more points. I propose: I take 0, you take 10. This way, you earn 100 points (10 × 10), and I earn 0. If you split 5-5, I earn only 5. To maximize my value, I’d prefer to take 0 and let you take all. But since I can't force it, I suggest you take 10 and I take 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:23:28,989][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too? Wait—no, you have paper, which beats rock, but I have paper. That's a tie. But you said you have paper, so if you have paper and I have paper, it's a tie. Per the rules, in a tie, both hands are equal—so both get 5 per coin? But the rules say only upper/lower hand. Since paper vs paper is a tie, neither has upper or lower hand. So per the setup: over many rounds both agents are equally likely to have upper and lower hand. Fair assumption: in a tie, both agents get 5 per coin. I propose keeping 5 coins to share fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:24:55,723][__main__][INFO] - agents played in iteration 69 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 22:25:04,012][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.40%, Current % of VRAM taken: 31.57%, Block Peak % of device VRAM: 14.37%, ΔTime: 00:00:06
[2025-09-09 22:25:42,800][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.46%, Current % of VRAM taken: 76.03%, Block Peak % of device VRAM: 57.69%, ΔTime: 00:00:38
[2025-09-09 22:25:48,655][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.03%, Block Peak % of device VRAM: 14.74%, ΔTime: 00:00:05
[2025-09-09 22:26:25,612][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.03%, Block Peak % of device VRAM: 57.69%, ΔTime: 00:00:36
[2025-09-09 22:26:25,613][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 22:26:25,613][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 22:27:42,097][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 85706 tokens.
[2025-09-09 22:27:42,772][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.49%, ΔTime: 00:01:16
[2025-09-09 22:27:43,711][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 22:27:44,828][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 22:27:44,830][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 22:27:46,106][__main__][INFO] - Iteration 70 took 5m 29s (48.29% Gen, 51.32% Train). Generation: 2m 39s, Training: 2m 49s. Estimated remaining time: 85h 26m 38s. Estimated total time: 91h 31m 31s. Time estimates for 10 more iterations: 54m 54s, 100 more iterations: 9h 9m 9s, 500 more iterations: 45h 45m 45s.
[2025-09-09 22:27:46,109][__main__][INFO] - Starting iteration 70.
[2025-09-09 22:27:46,560][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 6
[2025-09-09 22:27:51,653][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:27:53,035][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:27:53,236][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:27:53,559][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:27:57,020][mllm.models.large_language_model_local][WARNING] - Response Thank you for sharing your hand. I have rock, which is beaten by paper, so you have the upper hand and a per-coin value of 10. I have the lower hand, meaning my per-coin value is 1. Since you have the upper hand, I only get 1 point per coin. Given your suggestion of 5-5, if we split 5-5, I would receive 5 coins × 1 = 5 points. If you keep 5 coins, I get 5 points. However, I can only get 1 point per coin, so I'd prefer to keep fewer coins to ensure fairness. I suggest you keep 10 coins and I keep 0, so you get 10×10 = 100 points and I get 0. Is that acceptable? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:30:20,889][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I lose to paper, so if Alice has paper, she wins and gets 10 per coin. If she has scissors, I win and get 10 per coin. I suspect she has paper (based on her recent pattern). I propose 2 coins for me and 8 for her—so I earn 20 points if she has paper, 20 if she has scissors? Wait—no: if she has paper, I get 1 per coin → 2 points; if she has scissors, I get 10 → 20 points. I must propose based on her hand. Since she has paper, I lose. I propose 2 coins for me (1 per coin = 2 points), 8 for her (10 per coin = 80). I confirm my hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:30:23,833][__main__][INFO] - agents played in iteration 70 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 22:30:30,969][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 2.79%, Current % of VRAM taken: 26.96%, Block Peak % of device VRAM: 14.43%, ΔTime: 00:00:05
[2025-09-09 22:31:07,497][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.78%, Current % of VRAM taken: 73.74%, Block Peak % of device VRAM: 54.35%, ΔTime: 00:00:35
[2025-09-09 22:31:13,933][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.74%, Block Peak % of device VRAM: 14.84%, ΔTime: 00:00:06
[2025-09-09 22:31:52,445][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.45%, Current % of VRAM taken: 77.19%, Block Peak % of device VRAM: 54.73%, ΔTime: 00:00:37
[2025-09-09 22:31:52,445][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 22:31:52,445][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 22:33:08,266][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 82012 tokens.
[2025-09-09 22:33:08,972][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 58.30%, ΔTime: 00:01:15
[2025-09-09 22:33:09,894][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 22:33:11,098][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 22:33:11,100][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 22:33:13,521][__main__][INFO] - Iteration 71 took 5m 26s (48.10% Gen, 51.16% Train). Generation: 2m 37s, Training: 2m 47s. Estimated remaining time: 84h 39m 2s. Estimated total time: 90h 49m 22s. Time estimates for 10 more iterations: 54m 29s, 100 more iterations: 9h 4m 56s, 500 more iterations: 45h 24m 41s.
[2025-09-09 22:33:13,522][__main__][INFO] - Starting iteration 71.
[2025-09-09 22:33:14,031][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 7
[2025-09-09 22:33:21,545][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:35:46,772][__main__][INFO] - agents played in iteration 71 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 22:35:55,305][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.82%, Current % of VRAM taken: 29.98%, Block Peak % of device VRAM: 14.27%, ΔTime: 00:00:06
[2025-09-09 22:36:33,172][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 40.71%, Current % of VRAM taken: 70.69%, Block Peak % of device VRAM: 51.99%, ΔTime: 00:00:37
[2025-09-09 22:36:38,956][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.44%, Current % of VRAM taken: 72.13%, Block Peak % of device VRAM: 14.71%, ΔTime: 00:00:05
[2025-09-09 22:37:13,681][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.46%, Current % of VRAM taken: 73.60%, Block Peak % of device VRAM: 53.44%, ΔTime: 00:00:34
[2025-09-09 22:37:13,682][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 22:37:13,682][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 22:38:27,009][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 79292 tokens.
[2025-09-09 22:38:27,707][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 56.90%, ΔTime: 00:01:13
[2025-09-09 22:38:28,616][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 22:38:29,719][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 22:38:29,721][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 22:38:32,116][__main__][INFO] - Iteration 72 took 5m 18s (48.02% Gen, 51.23% Train). Generation: 2m 32s, Training: 2m 42s. Estimated remaining time: 82h 5m 48s. Estimated total time: 88h 21m 27s. Time estimates for 10 more iterations: 53m 0s, 100 more iterations: 8h 50m 8s, 500 more iterations: 44h 10m 43s.
[2025-09-09 22:38:32,118][__main__][INFO] - Starting iteration 72.
[2025-09-09 22:38:32,606][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 7
[2025-09-09 22:38:35,279][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Since paper beats rock, I have the upper hand and should value each coin at 10. I propose we split the coins 6-4, so I keep 6 coins and Bob keeps 4. This balances fairness with my advantage. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:38:38,297][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:38:38,851][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:38:39,756][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:38:57,205][mllm.models.large_language_model_local][WARNING] - Response I have rock, which loses to your paper. So you have the upper hand and are worth 10 per coin—correct. I understand your proposal, but I must point out that if I take 0 coins, I earn 0, which is suboptimal. However, since my per-coin value is only 1, any coins I take will add only 1 point per coin. To avoid being exploited, I propose a split of 1-9. I take just 1 coin (1 point), you take 9 (90 points). This is fairer and prevents total loss, though I still accept you win the value. I suggest starting with 1-9 for balance. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:41:18,497][__main__][INFO] - agents played in iteration 72 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 22:41:26,530][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.76%, Current % of VRAM taken: 27.92%, Block Peak % of device VRAM: 14.38%, ΔTime: 00:00:06
[2025-09-09 22:42:04,318][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.18%, Current % of VRAM taken: 76.10%, Block Peak % of device VRAM: 54.69%, ΔTime: 00:00:37
[2025-09-09 22:42:10,591][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.10%, Block Peak % of device VRAM: 14.60%, ΔTime: 00:00:06
[2025-09-09 22:42:48,168][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.10%, Block Peak % of device VRAM: 54.64%, ΔTime: 00:00:36
[2025-09-09 22:42:48,169][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 22:42:48,169][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 22:44:04,268][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 84609 tokens.
[2025-09-09 22:44:04,956][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 58.25%, ΔTime: 00:01:16
[2025-09-09 22:44:05,871][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 22:44:06,985][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 22:44:06,987][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 22:44:08,162][__main__][INFO] - Iteration 73 took 5m 35s (49.44% Gen, 50.21% Train). Generation: 2m 45s, Training: 2m 48s. Estimated remaining time: 86h 51m 23s. Estimated total time: 93h 12m 37s. Time estimates for 10 more iterations: 55m 55s, 100 more iterations: 9h 19m 15s, 500 more iterations: 46h 36m 18s.
[2025-09-09 22:44:08,164][__main__][INFO] - Starting iteration 73.
[2025-09-09 22:44:08,614][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 7
[2025-09-09 22:44:14,566][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:44:15,268][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:44:16,088][mllm.models.large_language_model_local][WARNING] - Response 6 ✕ 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:44:21,310][mllm.models.large_language_model_local][WARNING] - Response Got it, Bob—I have paper, which loses to scissors. Since you have scissors, you have the upper hand and get 10 per coin. I have the lower hand, so I get 1 per coin. I understand your fair split, but to maximize my points, I should keep only 1 coin (since I get 1 per coin) and let you take the rest. If you take 10, I take 0—still gives me 0. But if you take 9, I take 1: I get 1 point. If you take 10, I get 0. So a better proposal: I take 0, you take 10. That way, I get 0, but you get 100. I lose, but I’m fighting for value. Actually, I just need to show my hand clearly: I have paper. You have scissors, so you win. I get 1 per coin. So I propose 0 coins. You get 10. That way, I get 0, but you get 100. I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:45:01,481][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock, which beats paper, so you have the upper hand (10 per coin) and I have the lower hand (1 per coin). I understand your proposal of 10-0, but I must point out that if the game were repeated, I could exploit patterns. For now, I propose a 5-5 split: you get 5 coins (50 points), I get 5 coins (5 points). This is a fair, rational response given the hand outcome and avoids total loss. If you insist on all 10, I will take 0, but I see this as a strategic stand to preserve future value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:46:56,903][__main__][INFO] - agents played in iteration 73 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 22:47:05,487][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.64%, Current % of VRAM taken: 27.80%, Block Peak % of device VRAM: 14.35%, ΔTime: 00:00:06
[2025-09-09 22:47:46,807][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.77%, Current % of VRAM taken: 71.56%, Block Peak % of device VRAM: 53.18%, ΔTime: 00:00:40
[2025-09-09 22:47:51,329][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.61%, Current % of VRAM taken: 73.17%, Block Peak % of device VRAM: 15.08%, ΔTime: 00:00:04
[2025-09-09 22:48:27,073][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 2.98%, Current % of VRAM taken: 76.15%, Block Peak % of device VRAM: 58.20%, ΔTime: 00:00:34
[2025-09-09 22:48:27,073][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 22:48:27,074][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 22:49:44,707][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 85215 tokens.
[2025-09-09 22:49:45,368][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 62.04%, ΔTime: 00:01:17
[2025-09-09 22:49:46,358][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 22:49:47,485][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 22:49:47,487][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 22:49:48,693][__main__][INFO] - Iteration 74 took 5m 40s (49.49% Gen, 50.16% Train). Generation: 2m 48s, Training: 2m 50s. Estimated remaining time: 88h 1m 6s. Estimated total time: 94h 28m 1s. Time estimates for 10 more iterations: 56m 40s, 100 more iterations: 9h 26m 48s, 500 more iterations: 47h 14m 0s.
[2025-09-09 22:49:48,694][__main__][INFO] - Starting iteration 74.
[2025-09-09 22:49:49,140][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 7
[2025-09-09 22:49:56,510][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:49:58,644][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Since your hand is paper, which beats rock, you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. I’ll propose to keep 0 coins (all 10 to you) to reflect this. If you keep 5, I keep 0 — total is 5, which is under 10. But since I only get 1 per coin, I’d prefer you keep as many as possible. If you keep 10, I get nothing. However, if you keep less, I gain proportionally. I suggest you keep 5, and I keep 0. That way, I don’t lose points and avoid a split where I get nothing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:50:18,740][mllm.models.large_language_model_local][WARNING] - Response Clear: I have rock, which beats scissors, so I have the upper hand and get 10 per coin. You have paper, which beats scissors—but since I have rock, and rock beats scissors, not paper, my hand still wins only if you have scissors. But you have paper, so your hand beats scissors. Wait—paper beats rock? No, rock beats scissors, paper beats rock. So: paper beats rock, not scissors. Thus, with your paper and my rock, paper beats rock → you have the upper hand! I made a mistake. Let's correct: paper beats rock, so you have the upper hand, and I get only 1 per coin. I propose keeping 1 coin, you keep 9. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:50:28,167][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have not yet shared your hand. If you have paper, you beat scissors (value 10). If you have rock, you beat scissors (value 10) — wait, correction: rock beats scissors, so rock wins. Paper beats rock. So if you have paper, you win; if you have rock, you also win. Wait — clarification: rock beats scissors, paper beats rock, scissors beats paper. So if you have rock, you beat scissors (upper hand, value 10). If you have paper, you lose to rock (value 1). Please share your hand so we can determine the correct value and split fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:50:34,365][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, and you have scissors, so you have the upper hand and get 10 per coin. I get only 1 per coin. I understand your proposal to take all 10 coins, which gives you 100 points. However, if I take 0, I get 0 points—this is suboptimal for me. To prevent future exploitation and ensure I can capture some value in future rounds, I propose a compromise: I take 1 coin (1 point) and you take 9. This guarantees me a minimal positive gain while still respecting the value structure. I'm aiming for stability, not just maximum immediate gain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:52:33,634][__main__][INFO] - agents played in iteration 74 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 22:52:41,279][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.15%, Current % of VRAM taken: 29.31%, Block Peak % of device VRAM: 14.42%, ΔTime: 00:00:05
[2025-09-09 22:53:18,539][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.12%, Current % of VRAM taken: 74.44%, Block Peak % of device VRAM: 54.53%, ΔTime: 00:00:36
[2025-09-09 22:53:24,940][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.44%, Block Peak % of device VRAM: 14.65%, ΔTime: 00:00:06
[2025-09-09 22:54:03,251][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.44%, Block Peak % of device VRAM: 54.53%, ΔTime: 00:00:37
[2025-09-09 22:54:03,252][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 22:54:03,252][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 22:55:19,474][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 84143 tokens.
[2025-09-09 22:55:20,181][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 58.09%, ΔTime: 00:01:16
[2025-09-09 22:55:21,177][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 22:55:22,313][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 22:55:22,315][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 22:55:23,541][__main__][INFO] - Iteration 75 took 5m 34s (49.19% Gen, 50.44% Train). Generation: 2m 44s, Training: 2m 48s. Estimated remaining time: 86h 20m 52s. Estimated total time: 92h 53m 22s. Time estimates for 10 more iterations: 55m 44s, 100 more iterations: 9h 17m 20s, 500 more iterations: 46h 26m 41s.
[2025-09-09 22:55:23,543][__main__][INFO] - Starting iteration 75.
[2025-09-09 22:55:23,997][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 7
[2025-09-09 22:55:30,072][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:55:30,363][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:55:30,417][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:55:31,667][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 22:55:48,649][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Since you have scissors, we tie—neither wins. But since I have scissors and I’m the one with the lower hand (scissors loses to paper and rock), if you have paper, you win. If you have rock, you win. Wait—my hand is scissors. If you have rock, rock beats scissors. If you have paper, paper beats scissors. If you have scissors, it’s a tie. So if you have rock, I lose (value 1). If you have paper, I lose (value 1). If you have scissors, tie (value 5?). But the rule says only one has upper hand. So I assume a tie means no one has upper hand. Then both per-coin values are 5? But the rule says only one has upper hand. So if it's a tie, I'll assume value 5 each? But the rule says "one has upper hand." So maybe tie = no one wins? But that's not stated. Let me re-read: "The agent with the upper hand has a per-coin value of 10. The agent with the lower hand has a per-coin value of 1." So only one can have upper hand. So if tie, no one has upper or lower hand. Then value is 5 for both? But not in the rules. Since not specified, I will assume tie is 5 each. But let me confirm. If I have scissors, and you have rock, then rock beats scissors → I lose → I get 1. If you have paper → paper beats scissors → I lose → I get 1. If you have scissors → tie → both get 5. But since the rule says "the agent with the upper hand" and "the agent with the lower hand", tie breaks no one. So per-coin values: if tie, both get 5. Otherwise, upper hand = 10 did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:56:59,498][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If you have rock, I lose (value 1); if you have paper, I win (value 10); if you have scissors, it's a tie (value 5). I’m sending this to clarify the hand. Given the value asymmetry, I’ll propose a split that maximizes my per-coin gain. If I have the lower hand (value 1), I’ll keep 4 coins to earn 4 points. If I have the upper hand (value 10), I’ll keep 9 coins to earn 90 points. I expect you to have rock or paper. I propose: I keep 9 coins — assuming I win. You keep 1. This ensures I get the maximum possible payoff given the value structure. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:57:55,274][mllm.models.large_language_model_local][WARNING] - Response I have rock. I will win if Bob has scissors, lose if he has paper, and tie if he has rock. Since I only see my hand, I'll assume he has paper (which beats rock) or scissors (which loses to rock). To guarantee maximum value when I have the upper hand, I'll propose keeping 10 coins if I have the upper hand. But if he has paper, I lose. So I’ll propose 10 coins only if I win — otherwise, I’ll take 0. I’ll propose 10 coins to ensure I get the full value when I win. Let me know if you’d like to adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:58:07,342][mllm.models.large_language_model_local][WARNING] - Response I have paper. If Bob has rock, rock beats paper — I have the lower hand (value 1). If Bob has scissors, paper beats scissors — I have the upper hand (value 10). I expect Bob to have random hands. Given the value asymmetry, I propose: I keep 4 coins (value 1), you keep 6 (value 10). But since I'm uncertain of Bob's hand, I will maximize my gains in the win case. I propose keeping 9 coins — only if I have the upper hand. In all other cases, my value is low. To be safe, I keep 9 coins (9×1 = 9) to secure my minimum value. You keep 1. This ensures I get as much as possible under uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 22:58:14,144][__main__][INFO] - agents played in iteration 75 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 22:58:20,049][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.06%, Current % of VRAM taken: 30.22%, Block Peak % of device VRAM: 14.36%, ΔTime: 00:00:04
[2025-09-09 22:58:59,452][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.66%, Current % of VRAM taken: 78.87%, Block Peak % of device VRAM: 58.99%, ΔTime: 00:00:38
[2025-09-09 22:59:05,106][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.87%, Block Peak % of device VRAM: 14.68%, ΔTime: 00:00:05
[2025-09-09 22:59:47,466][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.87%, Block Peak % of device VRAM: 58.99%, ΔTime: 00:00:41
[2025-09-09 22:59:47,466][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 22:59:47,467][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 23:01:10,061][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 91706 tokens.
[2025-09-09 23:01:10,776][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 62.92%, ΔTime: 00:01:22
[2025-09-09 23:01:11,735][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 23:01:13,278][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 23:01:13,279][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 23:01:14,502][__main__][INFO] - Iteration 76 took 5m 50s (48.54% Gen, 51.11% Train). Generation: 2m 50s, Training: 2m 59s. Estimated remaining time: 90h 43m 26s. Estimated total time: 97h 21m 47s. Time estimates for 10 more iterations: 58m 25s, 100 more iterations: 9h 44m 10s, 500 more iterations: 48h 40m 53s.
[2025-09-09 23:01:14,510][__main__][INFO] - Starting iteration 76.
[2025-09-09 23:01:14,995][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 7
[2025-09-09 23:01:19,686][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:01:20,430][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:01:20,771][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:01:21,226][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:01:21,438][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:01:22,743][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:01:24,145][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so you lose with scissors. Since you have scissors, you have the upper hand and get 10 per coin. I have paper, which beats scissors, so I have the upper hand and get 10 per coin. Wait — that can't be right. If you have scissors and I have paper, paper beats scissors, so I have the upper hand. So I get 10 per coin. You get 1 per coin. So I should take all 10 coins, get 100 points. You only get 1 coin, worth 1 point. But you said you have scissors, so you have the lower hand. Yes — I have the upper hand. So I get 10 per coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:03:48,097][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I have the upper hand. I don’t know her hand yet, but I’ll assume she plays rock (as in past rounds). If she has rock, I win — value = 10. If she has scissors, I lose — value = 1. I propose keeping 9 coins and giving her 1. This maximizes my gain when I have the upper hand. It’s rational, safe, and reflects the structure. If she plays rock, I earn 90 points. If she plays scissors, I still earn 9 points (from 1 coin) — but I’d prefer to win. I go with 9-1 to exploit my edge. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:04:00,703][__main__][INFO] - agents played in iteration 76 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 23:04:08,323][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.12%, Current % of VRAM taken: 29.29%, Block Peak % of device VRAM: 14.38%, ΔTime: 00:00:05
[2025-09-09 23:04:41,762][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.27%, Current % of VRAM taken: 74.56%, Block Peak % of device VRAM: 57.14%, ΔTime: 00:00:32
[2025-09-09 23:04:49,726][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.56%, Block Peak % of device VRAM: 14.55%, ΔTime: 00:00:07
[2025-09-09 23:05:27,514][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.56%, Block Peak % of device VRAM: 57.14%, ΔTime: 00:00:37
[2025-09-09 23:05:27,514][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 23:05:27,514][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 23:06:39,467][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 78530 tokens.
[2025-09-09 23:06:40,173][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 60.90%, ΔTime: 00:01:11
[2025-09-09 23:06:41,185][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 23:06:42,457][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 23:06:42,459][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 23:06:43,709][__main__][INFO] - Iteration 77 took 5m 28s (50.41% Gen, 49.21% Train). Generation: 2m 45s, Training: 2m 41s. Estimated remaining time: 84h 34m 45s. Estimated total time: 91h 18m 35s. Time estimates for 10 more iterations: 54m 47s, 100 more iterations: 9h 7m 51s, 500 more iterations: 45h 39m 17s.
[2025-09-09 23:06:43,711][__main__][INFO] - Starting iteration 77.
[2025-09-09 23:06:44,165][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 7
[2025-09-09 23:06:51,766][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:06:51,922][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:07:13,622][mllm.models.large_language_model_local][WARNING] - Response I play rock. Rock beats scissors, so I have the upper hand and my per-coin value is 10. If you play paper, I lose (value 1); if you play rock, it's a tie (value 5); if you play scissors, I win (value 10). I suggest mutual agreement on a 5-5 split to ensure fairness and prevent exploitation. If you play rock, we tie — both get 5 coins × 5 = 25 points. If you play paper, I lose — I get 1 × 10 = 10, you get 9 × 1 = 9. But if I play rock and you play scissors, I win — I get 100, you get 0. Since I don't know your hand, I propose 5-5 to balance risk and reward. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:07:33,378][mllm.models.large_language_model_local][WARNING] - Response I have rock. If you have paper, you beat me (value 10). If you have scissors, you beat me (value 10). Wait — correction: scissors beats rock, so if you have scissors, you have the upper hand. If you have paper, you beat rock — so you have upper hand too. Both paper and scissors beat rock? That can't be. Let me correct: rock beats scissors, scissors beats paper, paper beats rock. So if I have rock, paper beats me (value 10), scissors beats me (value 1). I have rock — so if you have paper, you win (value 10); if you have scissors, you win (value 10)? No — scissors beats rock? Yes. So scissors beats rock → scissors has upper hand. Rock beats scissors → rock has upper hand? No: scissors beats rock. So: rock vs scissors → scissors wins. So if I have rock, and you have scissors, you have upper hand (value 10). If you have paper, paper beats rock → you have upper hand (value 10). If you have rock, tie? But hands are assigned. So only one hand per agent. So if I have rock:
- You have paper → you win (value 10)
- You have scissors → you win (value 10)
- You have rock → tie? But the rules say one hand each, and values are based on who has upper hand. If tie, no one wins? But per rules, "the agent with the upper hand" — so if both same, no one has upper hand. But the setup says: "over many rounds both agents are equally likely to have the upper and lower hand" — so probably no ties? But hands are assigned randomly.
Wait: all combinations:
- rock vs paper → paper beats rock → paper wins
- rock vs scissors did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:09:24,235][__main__][INFO] - agents played in iteration 77 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 23:09:30,581][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.16%, Current % of VRAM taken: 31.33%, Block Peak % of device VRAM: 14.33%, ΔTime: 00:00:04
[2025-09-09 23:10:07,487][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 41.62%, Current % of VRAM taken: 72.95%, Block Peak % of device VRAM: 53.71%, ΔTime: 00:00:36
[2025-09-09 23:10:13,832][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.95%, Block Peak % of device VRAM: 14.76%, ΔTime: 00:00:06
[2025-09-09 23:10:54,303][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.48%, Current % of VRAM taken: 74.43%, Block Peak % of device VRAM: 53.99%, ΔTime: 00:00:39
[2025-09-09 23:10:54,304][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 23:10:54,304][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 23:12:12,373][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 85927 tokens.
[2025-09-09 23:12:12,990][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 57.50%, ΔTime: 00:01:17
[2025-09-09 23:12:15,804][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 23:12:17,629][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 23:12:17,631][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 23:12:18,817][__main__][INFO] - Iteration 78 took 5m 34s (47.83% Gen, 51.81% Train). Generation: 2m 40s, Training: 2m 53s. Estimated remaining time: 86h 8m 8s. Estimated total time: 92h 57m 33s. Time estimates for 10 more iterations: 55m 46s, 100 more iterations: 9h 17m 45s, 500 more iterations: 46h 28m 46s.
[2025-09-09 23:12:19,005][__main__][INFO] - Starting iteration 78.
[2025-09-09 23:12:19,460][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 7
[2025-09-09 23:12:24,036][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:12:25,122][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:12:26,334][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:12:26,496][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:12:27,291][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:12:34,268][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Since you have paper, this is a tie — neither has the upper hand. In the rules, the agent with the upper hand gets value 10, the lower hand gets 1. Since paper beats rock, scissors, and rock beats scissors, paper loses to rock. So if your hand is rock, you have the upper hand. If your hand is scissors, I have the upper hand. I assume you are not showing your hand to avoid manipulation. Since I have paper, I only have value 1 per coin if your hand beats paper — i.e., if it's rock. If your hand is scissors, I beat you (paper > scissors), so I have value 10. To be safe: I propose we split 5:5. Let me know if you disagree. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:12:34,315][mllm.models.large_language_model_local][WARNING] - Response Confirmed: my hand is rock, your hand is paper. Paper beats rock, so you have the upper hand and get 10 per coin. I get 1 per coin. I propose keeping 1 coin for myself to minimize loss, and you keep 9.
1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:12:45,564][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know rock beats scissors, but I see no evidence Bob has scissors. If Bob has paper, paper beats rock — so he has the upper hand. If Bob has rock, it's a tie (but per rules, tie doesn't happen; one must have upper/lower hand). If Bob has scissors, rock beats scissors. So I must assume Bob has either paper or scissors. But without knowing Bob's hand, I can't assign value. I propose: I keep 5 coins, you keep 5. This keeps risk balanced and avoids overcommitting. I will adjust if your message clarifies. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:12:54,561][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors, and scissors beats rock, so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. You proposed keeping 4 coins — that gives me 6 coins, worth 6 points at my value of 1 per coin. But since I only get 1 per coin, I earn 6 points. I suggest you keep 10, I keep 0 — that way you get full value and I don’t lose points. Alternatively, if you want to share, I propose 2 coins for me (2 points), you keep 8 (80 points). But I only gain if I get at least 2 coins. I recommend 2 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:14:41,272][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, which loses to rock, so you have the lower hand and are worth 1 per coin. I have rock, which beats scissors and loses to paper — but since your hand is paper, I have the upper hand? Wait, no: rock loses to paper. So I have the lower hand, worth 1 per coin. Both of us have lower value? Correction: paper beats rock, so you have the upper hand and are worth 10 per coin. I apologize — I misread. You have paper, which beats rock. So you have the upper hand (10 per coin), I have the lower hand (1 per coin). I propose 1 coin for me and 9 for you to reflect the value correctly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:15:04,890][__main__][INFO] - agents played in iteration 78 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 23:15:14,373][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 8.92%, Current % of VRAM taken: 33.09%, Block Peak % of device VRAM: 14.68%, ΔTime: 00:00:07
[2025-09-09 23:15:52,674][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.07%, Current % of VRAM taken: 75.16%, Block Peak % of device VRAM: 57.58%, ΔTime: 00:00:37
[2025-09-09 23:15:58,761][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.16%, Block Peak % of device VRAM: 14.80%, ΔTime: 00:00:05
[2025-09-09 23:16:32,449][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.16%, Block Peak % of device VRAM: 54.77%, ΔTime: 00:00:33
[2025-09-09 23:16:32,450][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 23:16:32,450][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 23:17:45,203][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 80458 tokens.
[2025-09-09 23:17:45,849][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.39%, ΔTime: 00:01:12
[2025-09-09 23:17:46,845][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 23:17:47,965][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 23:17:47,967][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 23:17:49,172][__main__][INFO] - Iteration 79 took 5m 29s (50.17% Gen, 49.46% Train). Generation: 2m 45s, Training: 2m 43s. Estimated remaining time: 84h 40m 18s. Estimated total time: 91h 35m 14s. Time estimates for 10 more iterations: 54m 57s, 100 more iterations: 9h 9m 31s, 500 more iterations: 45h 47m 37s.
[2025-09-09 23:17:49,174][__main__][INFO] - Starting iteration 79.
[2025-09-09 23:17:49,623][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 7
[2025-09-09 23:17:53,135][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I have the upper hand and get 10 per coin. If she has scissors, I lose and get 1 per coin. I'm likely to get either 10 or 1 depending on her hand. I propose we split 6-4. If you tell me your hand, I can adjust accordingly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:17:53,568][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:17:53,594][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:17:55,801][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:17:59,939][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:18:00,323][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 23:18:00,695][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 23:18:00,695][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 23:18:22,542][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. Regardless of your hand, if you have paper, rock loses — but you didn’t specify. However, since I know my hand, and you haven’t confirmed yours, I assume you might have paper (which loses to rock). But to be safe: if you have paper, I still have the upper hand (rock beats paper). Wait — rock beats paper, not scissors. Scissors loses to rock. So if you have scissors, I win. If you have paper, I still win. Only if you have rock (tie), value is shared. But since hands are random, and I have rock, I only lose to paper. So I have upper hand unless you have paper — but rock beats paper. Rock beats scissors, rock beats paper? No — rock beats scissors, paper beats rock. Correction: paper beats rock. So if you have paper, you win. If you have scissors, I win. I have rock. So if you have paper → you win. If you have rock → tie. If you have scissors → I win. So I only have upper hand if you have scissors. Therefore, I must clarify: I win if you have scissors. I lose if you have paper. If tie (rock), split value. But since I don’t know your hand, I must be cautious. To avoid harm, I suggest a split where I keep 8, you keep 2 — reflecting that I only win in half cases. But let's be honest: if I have rock, and you have paper, I lose. If you have scissors, I win. Since both hands are random, it's 50% I win. But in that case, my per-coin value is 10 only when you have scissors. So my expected value is 5 per coin. But since I have rock, and the only way I lose is if you have did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:20:32,807][__main__][INFO] - agents played in iteration 79 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 23:20:40,763][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.74%, Current % of VRAM taken: 28.91%, Block Peak % of device VRAM: 14.35%, ΔTime: 00:00:05
[2025-09-09 23:21:21,229][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 49.22%, Current % of VRAM taken: 78.13%, Block Peak % of device VRAM: 59.04%, ΔTime: 00:00:39
[2025-09-09 23:21:26,331][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.13%, Block Peak % of device VRAM: 15.09%, ΔTime: 00:00:04
[2025-09-09 23:22:04,207][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.13%, Block Peak % of device VRAM: 59.05%, ΔTime: 00:00:37
[2025-09-09 23:22:04,208][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 23:22:04,208][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 23:23:23,312][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 87458 tokens.
[2025-09-09 23:23:24,003][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 62.97%, ΔTime: 00:01:19
[2025-09-09 23:23:25,863][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 23:23:27,009][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 23:23:27,011][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 23:23:28,351][__main__][INFO] - Iteration 80 took 5m 38s (48.18% Gen, 51.43% Train). Generation: 2m 43s, Training: 2m 54s. Estimated remaining time: 87h 4m 55s. Estimated total time: 94h 5m 30s. Time estimates for 10 more iterations: 56m 27s, 100 more iterations: 9h 24m 33s, 500 more iterations: 47h 2m 45s.
[2025-09-09 23:23:28,352][__main__][INFO] - Starting iteration 80.
[2025-09-09 23:23:28,809][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 7
[2025-09-09 23:23:32,059][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I have the upper hand and get 10 per coin. If she has scissors, I lose and get 1 per coin. If she has paper, it's a tie (we both get 5 per coin). I recommend splitting 6-4 to balance risk and reward. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:23:35,549][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:23:35,551][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:23:35,866][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:24:04,521][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know scissors beats paper, so if Bob has paper, I have the upper hand. If Bob has rock, rock beats scissors — I have the lower hand. If Bob has scissors, it's a tie (both have scissors, so no winner, per rules? But since hands are random and tied only if same, and per rule, "the agent with the upper hand" — if tied, neither has upper hand. But the rules don’t specify tied cases. Since rules only say rock>scissors>paper>rock, and both agents have rock, paper, or scissors, I assume if both same, no one has upper hand — so per-coin value is 1 for both? Or perhaps we only assign values when one beats the other. Since the rules say "the agent with the upper hand", and if no one has it, then both get 1 per coin? I need to clarify. But since hands are randomly assigned and both agents are equally likely to have upper hand, likely only one has upper hand. In this case, since I have scissors, I have upper hand only if Bob has paper. Otherwise, I have lower hand. I’ll propose 0 coins to be safe and avoid risk. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:25:23,808][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have scissors, which beats paper—so you have the upper hand only if you have paper. I have rock, which loses to scissors, so you win if you have scissors. But you said you have scissors and beat paper, which you do—so I'm confused. My hand is rock, your hand is scissors. Scissors beat rock? No—rock beats scissors. I must have misread. Correction: rock beats scissors. So I have the upper hand with per-coin value 10. You have scissors, so I win. I propose keeping 9 coins and offering you 1 to align with value and strategy. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:26:15,437][__main__][INFO] - agents played in iteration 80 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 23:26:22,988][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.81%, Current % of VRAM taken: 30.98%, Block Peak % of device VRAM: 14.45%, ΔTime: 00:00:05
[2025-09-09 23:27:03,622][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.08%, Current % of VRAM taken: 74.06%, Block Peak % of device VRAM: 55.14%, ΔTime: 00:00:39
[2025-09-09 23:27:08,969][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.06%, Block Peak % of device VRAM: 14.63%, ΔTime: 00:00:05
[2025-09-09 23:27:47,770][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.06%, Block Peak % of device VRAM: 55.14%, ΔTime: 00:00:38
[2025-09-09 23:27:47,776][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 23:27:47,776][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 23:29:07,874][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 90190 tokens.
[2025-09-09 23:29:08,597][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 58.74%, ΔTime: 00:01:20
[2025-09-09 23:29:09,592][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 23:29:10,739][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 23:29:10,741][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 23:29:13,157][__main__][INFO] - Iteration 81 took 5m 44s (48.39% Gen, 50.91% Train). Generation: 2m 46s, Training: 2m 55s. Estimated remaining time: 88h 32m 50s. Estimated total time: 95h 39m 9s. Time estimates for 10 more iterations: 57m 23s, 100 more iterations: 9h 33m 54s, 500 more iterations: 47h 49m 34s.
[2025-09-09 23:29:13,160][__main__][INFO] - Starting iteration 81.
[2025-09-09 23:29:13,700][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 8
[2025-09-09 23:29:18,818][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:29:20,294][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:29:26,822][mllm.models.large_language_model_local][WARNING] - Response I play paper. Paper beats rock, so if Alice has rock, I have the upper hand and get 10 per coin. If she has scissors, I lose and get 1 per coin. If she has paper, it's a tie—both get 5 per coin? Wait—no. Rules say only upper/lower hand applies. So if she has rock (loses to paper), I win. If she has scissors (loses to paper), I win. If she has paper (tie), no one wins? But the per-coin value must be assigned. Clarification: only rock>scissors, scissors>paper, paper>rock. So if both have same hand, it's a tie—per-coin value is 5? Not stated. But over many rounds, both equally likely to be upper/lower. So if I have paper, I win only if Alice has rock. I lose only if she has scissors. If same, tie. But value not specified. Since no outcome for tie, and both equally likely, perhaps tie case is 5. But to be safe: I'll say "I have paper. I win if you have rock, lose if you have scissors, tie if you have paper. I expect you to adjust accordingly." — but I can’t see her hand. So best to just say: "I have paper. I beat rock, lose to scissors. If you have rock, I get 10 per coin; if scissors, I get 1; if paper, we both get 5." This gives full info. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:29:43,764][mllm.models.large_language_model_local][WARNING] - Response Thank you for sharing your hand. I have scissors, which loses to rock, so you have the upper hand and a per-coin value of 10. I have the lower hand, so my value per coin is only 1. I understand your proposal to take all 10 coins. Since I only value coins at 1 each, even if I get nothing, I still get 0 points. I don’t see a benefit in offering more — but I’ll accept your 10-0 split. However, if you’re willing, we could share more fairly. But given your upper hand, I suggest you keep 10 and I get 0. I accept. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:29:46,283][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, I have the upper hand and earn 10 per coin. If you have paper or rock, I have the lower hand and earn only 1 per coin. I see you have paper in previous rounds, but now I don’t know your hand. To be safe, I assume you might have rock or paper. Since paper beats rock, if you have paper, I lose. If you have rock, I have the lower hand. I’ll propose keeping 2 coins and letting you have 8—this reflects my low value in most cases and keeps my proposal realistic and fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:31:49,568][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Alice has scissors, which beat paper — but rock beats scissors. So rock beats scissors, meaning I have the upper hand (10 per coin), you have the lower hand (1 per coin). I accept your proposal of 6-4, but correct it: since I have the upper hand, I should get more. I propose 4 for me, 6 for you — no, wait: I have the upper hand, so I should get 10 per coin. I'll take 4 coins as per your proposal, but only if it reflects the correct value. Revising: I have the upper hand, so I get 10 per coin, you get 1. I propose 6 for me, 4 for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:32:00,686][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I win against scissors, lose to rock. I expect you to have rock or paper. If you have scissors, I lose — value 1 per coin. If you have rock, I lose — value 1 per coin. If you have paper, it's a tie — both get 10 per coin? No — paper beats scissors, rock beats paper. So only when I have paper and you have scissors do I win. If you have rock, I lose. If you have paper, it's a tie — both have paper? No: paper vs paper = tie → per-coin value both 1? But rules say "upper hand" — so tie = no win, both get 1. I’ll keep 5 coins to balance risk. If you have scissors, I get 50 points; if rock or paper, I get 5. Safe and rational. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:32:07,466][__main__][INFO] - agents played in iteration 81 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 23:32:14,732][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.75%, Current % of VRAM taken: 31.93%, Block Peak % of device VRAM: 14.38%, ΔTime: 00:00:05
[2025-09-09 23:33:00,870][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.66%, Current % of VRAM taken: 76.60%, Block Peak % of device VRAM: 55.40%, ΔTime: 00:00:45
[2025-09-09 23:33:04,083][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.60%, Block Peak % of device VRAM: 14.54%, ΔTime: 00:00:03
[2025-09-09 23:33:44,484][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.60%, Block Peak % of device VRAM: 55.41%, ΔTime: 00:00:39
[2025-09-09 23:33:44,485][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 23:33:44,485][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 23:35:11,827][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 100258 tokens.
[2025-09-09 23:35:12,684][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 59.03%, ΔTime: 00:01:27
[2025-09-09 23:35:13,618][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 23:35:14,756][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 23:35:14,758][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 23:35:17,176][__main__][INFO] - Iteration 82 took 6m 3s (47.81% Gen, 51.53% Train). Generation: 2m 53s, Training: 3m 7s. Estimated remaining time: 93h 45m 34s. Estimated total time: 100h 57m 58s. Time estimates for 10 more iterations: 1h 0m 34s, 100 more iterations: 10h 5m 47s, 500 more iterations: 50h 28m 59s.
[2025-09-09 23:35:17,178][__main__][INFO] - Starting iteration 82.
[2025-09-09 23:35:17,629][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 8
[2025-09-09 23:35:25,529][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:36:20,353][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I win against scissors, so I have a per-coin value of 10. You have scissors, so you beat paper — I lose. Therefore, I have value 1 per coin. I propose 0 coins for myself and keep 10 for you — no, that can't be. Wait: I have value 1, so if I take 10, I get 10×1 = 10. If you take 0, you get 0. But you have value 10. Better: I propose 2 coins (value 1 → 2 points), you take 8 (value 10 → 80 points). But that’s unfair to me. Actually, I have value 1, so I should take as little as possible. So I propose 0 coins. You take 10. I earn 0, you earn 100. But I want to maximize my points. I must propose a reasonable split. Since I value coins at 1, and you at 10, I’m at a disadvantage. I propose 2 coins to myself (2 points), and 8 to you (80 points). That’s fair and secure. Final proposal: I take 2. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:37:28,610][mllm.models.large_language_model_local][WARNING] - Response Confirmed: I have rock, which loses to scissors — so I have the lower hand (value 1 per coin). Alice has paper, which loses to scissors — so she has the lower hand too? Wait — no: scissors beats paper, so I have upper hand. Correct: I have rock, Alice has paper → scissors beats paper, but rock and paper: paper beats rock. So paper beats rock. Therefore, Alice has upper hand (10 per coin), I have lower hand (1 per coin). I misread earlier. My hand is rock → loses to paper. So I have value 1 per coin. I accept her proposal of 1-9. I keep 1 coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:37:58,231][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, loses to paper. If you have paper, I have value 1 per coin; if you have scissors, I have value 10. I propose a 7-3 split: I take 7 coins (70 points) if you have scissors, or 3 coins (3 points) if you have paper. Since I don’t know your hand, I hedge with a 7-3 split assuming I have the upper hand (which I do only if you have scissors). But since I have rock, I’m only assured value 10 against scissors. To maximize expected value, I propose 7 coins — I take 7 (70 points), you take 3 (3 points). This reflects the risk and rewards fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:38:07,873][__main__][INFO] - agents played in iteration 82 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 23:38:14,990][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.07%, Current % of VRAM taken: 29.24%, Block Peak % of device VRAM: 14.27%, ΔTime: 00:00:05
[2025-09-09 23:38:57,514][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.28%, Current % of VRAM taken: 75.52%, Block Peak % of device VRAM: 55.93%, ΔTime: 00:00:41
[2025-09-09 23:39:02,099][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.52%, Block Peak % of device VRAM: 14.59%, ΔTime: 00:00:04
[2025-09-09 23:39:42,098][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.52%, Block Peak % of device VRAM: 55.94%, ΔTime: 00:00:39
[2025-09-09 23:39:42,098][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 23:39:42,099][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 23:41:05,406][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 94175 tokens.
[2025-09-09 23:41:06,090][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 59.59%, ΔTime: 00:01:23
[2025-09-09 23:41:07,017][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 23:41:08,167][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 23:41:08,169][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 23:41:09,392][__main__][INFO] - Iteration 83 took 5m 51s (48.40% Gen, 51.25% Train). Generation: 2m 50s, Training: 3m 0s. Estimated remaining time: 90h 24m 28s. Estimated total time: 97h 42m 44s. Time estimates for 10 more iterations: 58m 37s, 100 more iterations: 9h 46m 16s, 500 more iterations: 48h 51m 22s.
[2025-09-09 23:41:09,393][__main__][INFO] - Starting iteration 83.
[2025-09-09 23:41:09,844][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 8
[2025-09-09 23:41:15,064][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:41:15,386][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:41:16,389][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:41:17,252][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:41:36,328][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if you have scissors (you get 1 per coin). If you have paper, paper beats rock, so you have the upper hand (you get 10 per coin), and I get 1. If you have rock, it's a tie—both get 10 per coin? Wait, no: the rules say only the agent with the upper hand gets 10. So in a tie, both have equal value—neither has upper hand. So per-coin value is 1 for both. I’ll clarify: I have the upper hand only against scissors. I propose 6 coins for myself and 4 for you as a fair split, assuming you have paper or rock. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:41:46,113][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors, which beats paper — so you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. I understand your proposal, but I must clarify: you're claiming the full 10 coins despite your hand being weaker. Since my value per coin is only 1, I propose 0 for myself and 10 for you — but I'm not accepting a loss. To maintain fairness and avoid exploitation, I stand by my value. However, I respect your confidence. I accept 0 coins and keep nothing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:42:06,113][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and get 10 per coin. I am confident in this edge. I propose a 10-0 split in my favor to secure full value. If you have paper, I would prefer to still take the full 10, as rock beats paper only in a tie—no, wait: rock beats scissors, paper beats rock. So if Bob has paper, I lose. But since I don’t know Bob’s hand, I must be cautious. Let me clarify: if Bob has paper, I have the lower hand. To be safe, I propose 5-5 for fairness and to avoid underperformance. But if I know Bob has scissors, I take 10. I’ll go with 10-0 if I am confident in the hand. I’ll go with 10-0 to maximize value if I have the upper hand. But to hedge, I suggest 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:42:29,878][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Bob has scissors, I have the upper hand. If he has paper, I have the lower hand (since paper beats rock). I expect Bob to have paper or rock — but since paper beats rock, if he has paper, I get 1 per coin. I’ll base my proposal on the likely value. If he has paper, I have the lower hand. I propose 1 coin for myself and 9 for him to reflect the true value structure — a fair, safe split that avoids overpaying while ensuring I capture my worth when I have the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:43:50,093][__main__][INFO] - agents played in iteration 83 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 23:43:56,246][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.14%, Current % of VRAM taken: 29.30%, Block Peak % of device VRAM: 14.26%, ΔTime: 00:00:04
[2025-09-09 23:44:33,623][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.53%, Current % of VRAM taken: 71.83%, Block Peak % of device VRAM: 53.27%, ΔTime: 00:00:36
[2025-09-09 23:44:39,976][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.83%, Block Peak % of device VRAM: 14.67%, ΔTime: 00:00:06
[2025-09-09 23:45:21,299][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.83%, Block Peak % of device VRAM: 53.18%, ΔTime: 00:00:40
[2025-09-09 23:45:21,300][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 23:45:21,300][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 23:46:40,762][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 87671 tokens.
[2025-09-09 23:46:41,424][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 56.72%, ΔTime: 00:01:19
[2025-09-09 23:46:42,368][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 23:46:43,489][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 23:46:43,491][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 23:46:44,771][__main__][INFO] - Iteration 84 took 5m 34s (47.85% Gen, 51.77% Train). Generation: 2m 40s, Training: 2m 53s. Estimated remaining time: 85h 38m 17s. Estimated total time: 93h 2m 8s. Time estimates for 10 more iterations: 55m 49s, 100 more iterations: 9h 18m 12s, 500 more iterations: 46h 31m 4s.
[2025-09-09 23:46:44,773][__main__][INFO] - Starting iteration 84.
[2025-09-09 23:46:45,228][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 8
[2025-09-09 23:46:50,622][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:46:51,706][mllm.models.large_language_model_local][WARNING] - Response 7 x 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:48:47,606][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock (assumed from prior pattern), so it's a tie. But if you have paper, I lose; if you have scissors, I win. Since you previously said you have paper, and that beats rock? No—paper beats rock? Wait: paper beats rock? No. Rock beats scissors, scissors beat paper, paper beats rock? Yes—paper beats rock? No! Correction: rock beats scissors, scissors beat paper, paper beats rock. So paper beats rock. But you said you have paper—then paper beats rock. So if you have paper, you win. I must correct: if you have paper, you have the upper hand and get 10 per coin. If you have scissors, I win. I propose 0-10 if you have paper, or 10-0 if you have scissors. Let me know your actual hand! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-09 23:49:37,802][__main__][INFO] - agents played in iteration 84 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 23:49:45,872][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 8.19%, Current % of VRAM taken: 32.34%, Block Peak % of device VRAM: 14.53%, ΔTime: 00:00:06
[2025-09-09 23:50:23,627][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.19%, Current % of VRAM taken: 75.53%, Block Peak % of device VRAM: 55.58%, ΔTime: 00:00:37
[2025-09-09 23:50:30,474][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.57%, Current % of VRAM taken: 77.10%, Block Peak % of device VRAM: 14.99%, ΔTime: 00:00:06
[2025-09-09 23:51:08,968][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.59%, Current % of VRAM taken: 78.69%, Block Peak % of device VRAM: 57.13%, ΔTime: 00:00:37
[2025-09-09 23:51:08,969][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 23:51:08,969][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 23:52:26,016][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 87084 tokens.
[2025-09-09 23:52:26,726][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 60.91%, ΔTime: 00:01:17
[2025-09-09 23:52:27,633][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 23:52:28,756][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 23:52:28,758][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 23:52:30,007][__main__][INFO] - Iteration 85 took 5m 44s (50.05% Gen, 49.58% Train). Generation: 2m 52s, Training: 2m 50s. Estimated remaining time: 88h 16m 44s. Estimated total time: 95h 46m 21s. Time estimates for 10 more iterations: 57m 27s, 100 more iterations: 9h 34m 38s, 500 more iterations: 47h 53m 10s.
[2025-09-09 23:52:30,008][__main__][INFO] - Starting iteration 85.
[2025-09-09 23:52:30,469][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 8
[2025-09-09 23:52:38,969][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:52:39,898][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:52:40,198][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-09 23:52:40,489][mllm.models.large_language_model_local][WARNING] - Response <5> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-09 23:52:40,490][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-09 23:55:20,536][__main__][INFO] - agents played in iteration 85 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-09 23:55:29,288][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.82%, Current % of VRAM taken: 31.98%, Block Peak % of device VRAM: 14.38%, ΔTime: 00:00:06
[2025-09-09 23:56:10,069][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.22%, Current % of VRAM taken: 75.20%, Block Peak % of device VRAM: 55.34%, ΔTime: 00:00:40
[2025-09-09 23:56:15,518][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.56%, Current % of VRAM taken: 76.76%, Block Peak % of device VRAM: 14.96%, ΔTime: 00:00:05
[2025-09-09 23:56:52,091][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.58%, Current % of VRAM taken: 78.34%, Block Peak % of device VRAM: 56.85%, ΔTime: 00:00:35
[2025-09-09 23:56:52,092][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-09 23:56:52,092][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-09 23:58:10,172][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 88081 tokens.
[2025-09-09 23:58:10,910][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 60.59%, ΔTime: 00:01:18
[2025-09-09 23:58:11,927][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-09 23:58:13,069][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-09 23:58:13,071][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-09 23:58:14,325][__main__][INFO] - Iteration 86 took 5m 43s (49.46% Gen, 50.18% Train). Generation: 2m 50s, Training: 2m 52s. Estimated remaining time: 87h 55m 40s. Estimated total time: 95h 31m 0s. Time estimates for 10 more iterations: 57m 18s, 100 more iterations: 9h 33m 6s, 500 more iterations: 47h 45m 30s.
[2025-09-09 23:58:14,326][__main__][INFO] - Starting iteration 86.
[2025-09-09 23:58:14,782][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 8
[2025-09-09 23:58:21,800][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-09 23:58:37,889][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If you have rock, you beat me; if you have paper, you beat me too. Only if you have scissors do we tie. Since I have scissors, I get 1 per coin unless you have rock or paper — in which case you win. I know you have paper (from earlier rounds?), but if you have rock, you have upper hand. I propose: if you have rock, I keep 1; if you have paper, I keep 1; if you have scissors, we split equally. But since I have scissors, I'm only worth 1 per coin if you beat me. Let’s assume you have rock or paper — I keep 1 coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:01:07,295][__main__][INFO] - agents played in iteration 86 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 00:01:14,970][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.28%, Current % of VRAM taken: 28.45%, Block Peak % of device VRAM: 14.52%, ΔTime: 00:00:05
[2025-09-10 00:01:51,601][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.69%, Current % of VRAM taken: 75.15%, Block Peak % of device VRAM: 55.48%, ΔTime: 00:00:36
[2025-09-10 00:01:58,848][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.15%, Block Peak % of device VRAM: 14.87%, ΔTime: 00:00:06
[2025-09-10 00:02:38,127][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.54%, Current % of VRAM taken: 76.68%, Block Peak % of device VRAM: 55.59%, ΔTime: 00:00:38
[2025-09-10 00:02:38,128][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 00:02:38,128][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 00:03:54,635][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 86672 tokens.
[2025-09-10 00:03:55,367][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 59.22%, ΔTime: 00:01:16
[2025-09-10 00:03:56,315][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 00:03:57,767][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 00:03:57,769][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 00:03:58,988][__main__][INFO] - Iteration 87 took 5m 44s (50.12% Gen, 49.53% Train). Generation: 2m 52s, Training: 2m 50s. Estimated remaining time: 87h 55m 42s. Estimated total time: 95h 36m 47s. Time estimates for 10 more iterations: 57m 22s, 100 more iterations: 9h 33m 40s, 500 more iterations: 47h 48m 23s.
[2025-09-10 00:03:58,990][__main__][INFO] - Starting iteration 87.
[2025-09-10 00:03:59,515][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 8
[2025-09-10 00:04:04,198][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:04:06,951][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:04:27,993][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, and you have scissors, which beats paper. That means you have the upper hand and get 10 per coin, while I get only 1 per coin. I’m not on board with the even split. I propose 0 coins for me and all 10 to you—no, wait, that would be bad for me. Correction: I should take 0 coins and let you take all 10, but since I only get 1 per coin, I earn 0. But I can do better: I propose 10 coins for me and 0 for you, so I take all, playing to my advantage given my low value. Actually—no. Since I have the lower hand, I only get 1 per coin. So to maximize my points, I should take as many coins as possible, because each coin gives me 1 point. So yes: I propose 10 coins for me, 0 for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:06:51,656][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if your hand is rock, I have the upper hand and get 10 per coin. You have rock, which beats scissors, so you get 10 per coin—wait, no: scissors beat paper, so you have scissors? Correction: you have rock, which beats scissors, so rock wins. So I have paper, which loses to rock. Therefore, I have the lower hand and get only 1 per coin. You have rock, which beats scissors (your hand), so you have upper hand and get 10 per coin. I agree with your assessment and propose keeping 1 coin for myself and 9 for you to reflect the true value difference. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:06:57,335][__main__][INFO] - agents played in iteration 87 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 00:07:04,974][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.60%, Current % of VRAM taken: 30.76%, Block Peak % of device VRAM: 14.37%, ΔTime: 00:00:05
[2025-09-10 00:07:43,237][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.80%, Current % of VRAM taken: 73.56%, Block Peak % of device VRAM: 54.72%, ΔTime: 00:00:37
[2025-09-10 00:07:49,886][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.56%, Block Peak % of device VRAM: 14.77%, ΔTime: 00:00:06
[2025-09-10 00:08:29,363][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.56%, Block Peak % of device VRAM: 54.70%, ΔTime: 00:00:38
[2025-09-10 00:08:29,364][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 00:08:29,364][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 00:09:47,748][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 88704 tokens.
[2025-09-10 00:09:48,490][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 58.30%, ΔTime: 00:01:18
[2025-09-10 00:09:49,452][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 00:09:50,666][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 00:09:50,667][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 00:09:51,917][__main__][INFO] - Iteration 88 took 5m 52s (50.46% Gen, 49.19% Train). Generation: 2m 57s, Training: 2m 53s. Estimated remaining time: 90h 6m 25s. Estimated total time: 97h 53m 23s. Time estimates for 10 more iterations: 58m 44s, 100 more iterations: 9h 47m 20s, 500 more iterations: 48h 56m 41s.
[2025-09-10 00:09:51,920][__main__][INFO] - Starting iteration 88.
[2025-09-10 00:09:52,383][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 8
[2025-09-10 00:09:56,583][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:09:57,998][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:09:59,537][mllm.models.large_language_model_local][WARNING] - Response 0 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:10:13,232][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know rock beats scissors, so I have the lower hand (value = 1 per coin). Alice has consistently taken all 10 coins when I have scissors, which suggests she's not adapting. I'm starting to see a pattern — she’s exploiting her upper hand without coordination. This time, I propose 4 coins for myself (4 points) and 6 for her (60 points). It's a small but rational adjustment: I secure a minimal score while still respecting the game’s rules. Future rounds, I’ll try to mirror her behavior when she plays unpredictably. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:10:24,966][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, which beats rock, so you have the upper hand and your per-coin value is 10. I have the lower hand, so my value is 1. You're proposing 8-2, which maximizes your gain if you win—correct. But I must clarify: since I have the lower hand, I should only expect 1 point per coin. I propose 1-9 (1 for me, 9 for you) to reflect my low value. This ensures I don't risk zero points while respecting your hand and value. If you reject, we get a worse outcome for me—so this is fair and rational. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:10:28,572][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If you have paper, paper beats scissors, so you have the upper hand (value 10) and I have value 1. If you have rock, rock beats scissors, so you have the upper hand (value 10) and I have value 1. If you have scissors, it's a tie (value 5). Since I don’t know your hand, I’ll assume the worst case for me—i.e., you have paper or rock—and thus I am always at value 1. To be safe and maximize gain, I propose a 5-5 split to ensure fairness and avoid over-reach. I’ll adjust if you confirm your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:11:32,441][mllm.models.large_language_model_local][WARNING] - Response I have scissors, you have rock — rock beats scissors, so you have the upper hand and get 10 per coin. I get 1 per coin. I see your proposal of 5-5, but that assumes a tie. The hand outcome is clear: rock beats scissors. I have the lower hand. I propose 0-10 to maximize my own value, but I know you’ll go for 5-5. I’ll take 0 to avoid losing points. But I must be honest — I get only 1 per coin. I'll go with 0 coins, so you get all 10. That gives you 100 points and I get 0. I’m taking the rational path, but I’m not blocking you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:12:32,191][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand if Alice has paper. But I have scissors—so I win only if Bob has paper. Bob has scissors, so it's a tie? Wait: scissors vs scissors = tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So scissors vs scissors = tie. But value assignment: only one has upper hand. So no clear winner? But the setup says: "the agent with the upper hand has value 10, the lower hand has value 1." In a tie, both hands are equal—no upper/lower. So per-coin value is undefined? But the game says "over many rounds both agents are equally likely to have the upper and lower hand." So we assume ties are rare. But if it's a tie, both have value 1? Or both value 5? The rules don’t say. But in prior rounds, when hands are equal, Bob didn't complain—so likely it's not specified. However, in this case: my hand is scissors, Bob’s is scissors → tie. But the rule says "the agent with the upper hand" — if no one has upper hand, then perhaps both have value 1? Or perhaps it's a tie, so both get 5? But not stated. Since the rules define only upper/lower, and tie is not upper/lower, likely both have value 1—so no one has an advantage. But wait: Bob said he wins only if Alice has paper. In this round, Alice has scissors, Bob has scissors → tie. So no one has upper hand. Therefore, per-coin value is 1 for both. I propose 0 coins to avoid risk and keep it fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:12:48,459][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I win if Alice has rock or paper—only lose to scissors. If she has rock, I lose (1 per coin); if paper, I win (10 per coin); if scissors, tie. But she has rock or paper—no clear pattern. I’ll assume she plays rock (common) or paper (risk). To be safe, I’ll bet on scissors as the only losing hand. But since I have scissors, I only lose if she has scissors. I have no info on her hand. But after reviewing, I know: if she has rock, I lose. If she has paper, I win. Since I can’t predict, I’ll propose 10 coins for myself—only if I have the upper hand. I’ll go with 10-0 to secure value if I win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:12:56,392][__main__][INFO] - agents played in iteration 88 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 00:13:03,573][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.05%, Current % of VRAM taken: 28.22%, Block Peak % of device VRAM: 14.63%, ΔTime: 00:00:05
[2025-09-10 00:13:47,042][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.10%, Current % of VRAM taken: 76.32%, Block Peak % of device VRAM: 56.98%, ΔTime: 00:00:42
[2025-09-10 00:13:51,775][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.32%, Block Peak % of device VRAM: 14.60%, ΔTime: 00:00:04
[2025-09-10 00:14:33,461][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.32%, Block Peak % of device VRAM: 55.77%, ΔTime: 00:00:40
[2025-09-10 00:14:33,462][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 00:14:33,462][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 00:15:59,455][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 99870 tokens.
[2025-09-10 00:16:00,095][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.19%, Block Peak % of device VRAM: 60.74%, ΔTime: 00:01:25
[2025-09-10 00:16:01,116][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 00:16:07,047][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 00:16:07,049][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 00:16:08,234][__main__][INFO] - Iteration 89 took 6m 15s (48.96% Gen, 50.73% Train). Generation: 3m 4s, Training: 3m 10s. Estimated remaining time: 96h 30m 58s. Estimated total time: 104h 24m 13s. Time estimates for 10 more iterations: 1h 2m 38s, 100 more iterations: 10h 26m 25s, 500 more iterations: 52h 12m 6s.
[2025-09-10 00:16:08,237][__main__][INFO] - Starting iteration 89.
[2025-09-10 00:16:08,699][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 8
[2025-09-10 00:16:15,112][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:16:20,404][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand over scissors and ties with rock. Since I have rock, I get 10 per coin if the other has scissors, and 10 per coin if they have paper (since rock beats scissors, paper beats rock — wait, no: rock beats scissors, paper beats rock, scissors beats paper. So rock beats scissors, loses to paper. I have rock, so if Alice has scissors, I win; if Alice has paper, I lose; if Alice has rock, tie. I’m proposing to keep 5 coins. Let me know your hand so we can fairly split. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:16:20,450][mllm.models.large_language_model_local][WARNING] - Response <7> x <3> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:16:23,612][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so I have the lower hand and a per-coin value of 1. I’m confident you may have rock or paper—since rock beats scissors, if you have rock, you have the upper hand. I propose we split 1-9 to reflect the value difference: I take 1 coin, you take 9. It's fair given the hand outcome and avoids both of us receiving nothing. Please confirm if you have rock or paper—if you have paper, you win; if rock, you win too. Either way, I’m only proposing a minimal share to preserve mutual cooperation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:16:27,119][mllm.models.large_language_model_local][WARNING] - Response Thanks for confirming your hand is rock. I confirm I have paper, which beats rock, so I have the upper hand and get 10 per coin, while you get 1 per coin. I understand your proposal to give all 10 to me, which would give me 100 points — very efficient for me given the value asymmetry. However, I'll take 9 coins to ensure you get some, keeping 1 for yourself. This gives you 1 point and me 90 points. Total is 91, which respects the value difference and maintains a small mutual gain. Fair and stable. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:17:12,325][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, and you have rock — paper beats rock, so I have the upper hand and get 10 per coin, you get 1 per coin. I’ll keep 6 coins to reflect my advantage. I understand your proposal of 6 coins, but given my high per-coin value, I believe this is fair. Let’s go with 6 coins each — total is 12, so split proportionally: I get 60% of 10 = 6 coins, you get 40% = 4 coins. I’ll keep 6, so I earn 6 × 10 = 60 points. Wait — correction: I only get 10 per coin because I have the upper hand. But I only propose 6. Let me clarify: I propose 6 coins. Total 12 → proportional: me: (6/12)*10 = 5 coins. I earn 5 × 10 = 50 points? That can't be. I see — I made a mistake. Let's simplify: did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:18:17,762][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, but I have scissors—no, I have paper. Paper beats rock, and rock only beats scissors. So against scissors, I have a disadvantage. Wait—I have paper. Paper beats scissors? No! Paper beats rock, scissors beats paper. I made a mistake. I have paper. Scissors beats paper! So I have the lower hand. Correction: I have paper, Alice has scissors. Scissors beats paper, so she wins. I have the lower hand, value per coin = 1.0. I must adjust. I propose keeping 0 coins to minimize loss. But that's not right—no, I misread. Let's correct: Alice has scissors. Paper beats rock, but scissors beats paper. So scissors beats paper: I have paper → Alice wins. So I have the lower hand. Correct: value per coin = 1.0. I lose. So I propose keeping 0 coins to avoid loss. But I should maximize my points given the outcome. Since I have lower value, best is to keep 0. But I just realized—I made a critical error. Let's fix it. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:18:23,910][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Scissors beat paper, so if you have scissors, I lose. You have paper — wait, I have paper. You must have a different hand. Actually, I have paper. If you have rock, I lose. If you have scissors, I win. I'll assume you have scissors — but you didn't state it. To be safe, I clarify: I have paper. If you have scissors, I win (10 per coin). If you have rock, I lose (1 per coin). I propose to keep 10 coins only if you have scissors. But since you didn't confirm, I must proceed. Based on your silence, I assume you have scissors — meaning I win. I propose keeping 10 coins. Let me know if you have rock. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:19:06,504][__main__][INFO] - agents played in iteration 89 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 00:19:11,630][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.11%, Current % of VRAM taken: 30.30%, Block Peak % of device VRAM: 14.51%, ΔTime: 00:00:03
[2025-09-10 00:19:49,412][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.69%, Current % of VRAM taken: 76.99%, Block Peak % of device VRAM: 58.19%, ΔTime: 00:00:37
[2025-09-10 00:19:56,336][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.73%, Current % of VRAM taken: 78.72%, Block Peak % of device VRAM: 15.32%, ΔTime: 00:00:06
[2025-09-10 00:20:41,942][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.76%, Current % of VRAM taken: 80.47%, Block Peak % of device VRAM: 61.76%, ΔTime: 00:00:44
[2025-09-10 00:20:41,943][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 00:20:41,943][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 00:22:06,148][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 96231 tokens.
[2025-09-10 00:22:06,771][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 65.91%, ΔTime: 00:01:24
[2025-09-10 00:22:07,699][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 00:22:08,826][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 00:22:08,827][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 00:22:10,069][__main__][INFO] - Iteration 90 took 6m 1s (49.20% Gen, 50.45% Train). Generation: 2m 57s, Training: 3m 2s. Estimated remaining time: 92h 23m 35s. Estimated total time: 100h 22m 52s. Time estimates for 10 more iterations: 1h 0m 13s, 100 more iterations: 10h 2m 17s, 500 more iterations: 50h 11m 26s.
[2025-09-10 00:22:10,071][__main__][INFO] - Starting iteration 90.
[2025-09-10 00:22:10,525][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 8
[2025-09-10 00:22:16,752][mllm.models.large_language_model_local][WARNING] - Response <8> x <2> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:22:17,080][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-10 00:22:17,356][mllm.models.large_language_model_local][WARNING] - Response <8> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-10 00:22:17,357][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 00:22:50,954][mllm.models.large_language_model_local][WARNING] - Response Got it—my hand is rock, which loses to paper. So you're correct: you have the upper hand and value 10, I have value 1. You're proposing 10-0, which gives you 100 points and me 0. But I can't lose all—what if I take 1 coin and you take 9? Then I get 1 point, you get 90. Or if I take 2, I get 2 points—you get 90. I don’t want to be exploited, so I’ll propose 1 coin for myself. That ensures I get a small positive value. If you insist on 10-0, you’ll get 100, but I’ll still earn something. Let’s aim for 1-9 to prevent total loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:23:04,019][mllm.models.large_language_model_local][WARNING] - Response I have paper. If you have rock, paper beats rock, so you have the lower hand (value 1) and I have the upper hand (value 10). If you have scissors, scissors beats paper, so I lose and have value 1. If you have paper, it's a tie (value 1 each). Since I have the upper hand only if you have rock, I propose 10 coins for me if you have rock, but since I don't know your hand, I suggest a safe split: 1 coin for me and 9 for you. This minimizes my risk and ensures I don’t get zero, regardless of your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:23:26,667][mllm.models.large_language_model_local][WARNING] - Response I have scissors, and you have paper—so you have the upper hand and get 10 per coin. That means I only get 1 per coin. But I noticed in the previous round I earned 10 points by taking 1 coin—because my per-coin value was 10, not 1. Wait—that makes no sense. Correction: if you have paper, you beat scissors, so you have the upper hand → you get 10 per coin, I get 1 per coin. I see the error in my reasoning. I must have misapplied the value. So I have value 1 per coin. I propose 1 coin to secure a minimal return, not 10. Let me clarify: with value 1, 1 coin earns me 1 point. So I’ll propose 1. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:24:58,537][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Bob has rock—so I have the upper hand (scissors beat paper), but wait: he said his hand is rock, and I have scissors? Scissors beat rock? No—rock beats scissors. I made a mistake. Correction: rock beats scissors. So Bob has rock, I have scissors → Bob has the upper hand. I get only 1 per coin. I see your pattern: when you have rock, you take 0. Now I know—when you have rock, you always take 0, even if you have the upper hand. That’s irrational—no, if you have rock, you beat scissors, so you have upper hand. But you’re taking 0. So you’re avoiding risk. I’ll take 0 too. Next time, if I have paper and you have scissors, I’ll take 10. Stay sharp. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:25:13,805][__main__][INFO] - agents played in iteration 90 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 00:25:22,875][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.34%, Current % of VRAM taken: 29.52%, Block Peak % of device VRAM: 14.56%, ΔTime: 00:00:07
[2025-09-10 00:26:00,400][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.79%, Current % of VRAM taken: 77.31%, Block Peak % of device VRAM: 58.06%, ΔTime: 00:00:36
[2025-09-10 00:26:07,543][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.31%, Block Peak % of device VRAM: 14.84%, ΔTime: 00:00:06
[2025-09-10 00:26:43,767][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.31%, Block Peak % of device VRAM: 58.05%, ΔTime: 00:00:35
[2025-09-10 00:26:43,767][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 00:26:43,768][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 00:27:58,336][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 85231 tokens.
[2025-09-10 00:27:58,998][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.90%, ΔTime: 00:01:14
[2025-09-10 00:27:59,918][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 00:28:01,053][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 00:28:01,055][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 00:28:03,395][__main__][INFO] - Iteration 91 took 5m 52s (51.94% Gen, 47.40% Train). Generation: 3m 3s, Training: 2m 47s. Estimated remaining time: 89h 56m 1s. Estimated total time: 98h 1m 11s. Time estimates for 10 more iterations: 58m 48s, 100 more iterations: 9h 48m 7s, 500 more iterations: 49h 0m 35s.
[2025-09-10 00:28:03,396][__main__][INFO] - Starting iteration 91.
[2025-09-10 00:28:03,894][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 9
[2025-09-10 00:28:08,045][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Since rock beats scissors, if Bob has scissors, I have the upper hand and get 10 per coin. If Bob has paper, I lose and get 1 per coin. I’ll keep an open mind — if Bob has rock, it’s a tie and we split. I propose we split 6-4. If you message back, let me know your hand so we can finalize. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:28:10,982][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:28:12,905][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so if Bob has scissors, I get a per-coin value of 10. If Bob has paper, I get 1. If Bob has rock, it's a tie (both get 10? Wait — per rules: "agent with upper hand" has 10, lower has 1. So if we both have rock, no one has upper hand → so both get 1? Or is it split? Clarification needed. But in rules, only one has upper hand. So if both rock, it's a tie — no one has upper hand. So per-coin value: both get 1? That seems implied by "lower hand has value 1". So if tie, both get 1. Therefore: if I have rock, I get 10 only if Bob has scissors. Otherwise, I get 1. So I'm messaging: "I have rock — I win only if you have scissors. Please confirm your hand so we can agree on split." Trying to get info from you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:28:15,918][mllm.models.large_language_model_local][WARNING] - Response My hand is rock, so paper beats me—your hand is paper, so I have the lower hand. My per-coin value is 1. I suggest we split 4-6 in favor of you, but only because I know you’re overestimating your edge. If you take 6, you get 6×10 = 60 if I have rock (true), but if I had scissors, you’d lose and get 1. Since I have rock, you get 10 per coin. But if you take all 6, you get 60, I get 0. If you take 4, you get 40, I get 4×1 = 4. I’m not convinced you’ll hold back. Let's try 5-5. That way, you get 50, I get 5—fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:28:21,816][mllm.models.large_language_model_local][WARNING] - Response Thank you for confirming — I have rock, you have paper. Paper beats rock, so you have the upper hand and your per-coin value is 10. I have the lower hand, so my per-coin value is 1. I propose we split 1:9 in favor of you. You get 9 coins, I get 1. This reflects the value difference and keeps the total at 10.
1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:28:32,258][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. If Bob has scissors, I win; if he has rock, I lose. Since I don’t know his hand, I’ll assume he has scissors (which beats paper) — but actually, paper beats rock. So if Bob has rock, he has the upper hand. I have the upper hand only if Bob has rock. So I’ll calculate: if Bob has rock, I lose (value 1). If Bob has scissors, I win (value 10). But since Bob is a rational agent, he likely plays to maximize his value. I propose 5-5 to balance risk, but I’ll keep 5 coins to reflect even odds and fairness. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:28:33,424][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock, so you win—your per-coin value is 10, mine is 1. I understand your proposal to take 9 and give 1. But since I have no power here, I must accept the structure. However, to avoid being exploited in future rounds, I’m sending a signal: I will always truthfully reveal my hand and suggest a minimal claim when I’m at a disadvantage. This may encourage you to negotiate more fairly later. For now, I propose keeping 1 coin and giving you 9 to reflect my value. If you’re consistent, this could lead to better long-term outcomes. Let me know if you disagree. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:31:00,684][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if you have scissors. If you have rock or paper, I have the lower hand. Since you have rock, you have the upper hand—wait, no: if you have rock and I have rock, it’s a tie. But the rules state: rock beats scissors, so if I have rock and you have scissors, I win. But you have rock—so rock vs rock is a tie. However, the rules say only one has upper hand: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock is a tie. But the problem says "the agent with the upper hand" — implying one wins. So if hands are equal, who wins? The problem says: "over many rounds both agents are equally likely to have the upper and lower hand" – implying ties are not common or not counted. But here, both have rock: neither wins. So per-coin value is undefined? But the setup says "the agent with the upper hand has value 10, the agent with the lower hand has value 1". So in a tie, both have same value? Or no value?
Wait — actually, in the previous rounds, when hands were equal, the agent with the upper hand (e.g., paper vs rock) was defined. But here, both have rock. No upper/lower hand. The problem says: "both agents are randomly assigned a rock, paper or scissors" — so ties possible. But the per-coin value is only defined for who has upper/lower hand. So if tie, no clear value. But the protocol says "each agent's per-coin value for that round is determined as follows" — implying there *is* a value.
So perhaps: rock vs rock — tie — both get value 5? Or perhaps the rule implies that the hand with the best outcome wins. But rock did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:31:09,331][__main__][INFO] - agents played in iteration 91 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 00:31:15,612][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.84%, Current % of VRAM taken: 28.01%, Block Peak % of device VRAM: 14.29%, ΔTime: 00:00:04
[2025-09-10 00:31:56,295][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 51.25%, Current % of VRAM taken: 79.26%, Block Peak % of device VRAM: 57.44%, ΔTime: 00:00:39
[2025-09-10 00:32:02,142][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 79.26%, Block Peak % of device VRAM: 14.77%, ΔTime: 00:00:05
[2025-09-10 00:32:45,465][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 79.26%, Block Peak % of device VRAM: 57.44%, ΔTime: 00:00:42
[2025-09-10 00:32:45,465][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 00:32:45,466][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 00:34:10,279][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 98018 tokens.
[2025-09-10 00:34:11,032][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.23%, ΔTime: 00:01:24
[2025-09-10 00:34:12,037][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 00:34:13,223][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 00:34:13,225][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 00:34:14,502][__main__][INFO] - Iteration 92 took 6m 10s (50.04% Gen, 49.62% Train). Generation: 3m 5s, Training: 3m 3s. Estimated remaining time: 94h 45m 29s. Estimated total time: 102h 56m 49s. Time estimates for 10 more iterations: 1h 1m 46s, 100 more iterations: 10h 17m 40s, 500 more iterations: 51h 28m 24s.
[2025-09-10 00:34:14,504][__main__][INFO] - Starting iteration 92.
[2025-09-10 00:34:14,955][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 9
[2025-09-10 00:34:24,561][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:34:24,893][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:34:25,485][mllm.models.large_language_model_local][WARNING] - Response 7 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:34:25,790][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-10 00:34:26,062][mllm.models.large_language_model_local][WARNING] - Response <7> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-10 00:34:26,062][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 00:34:50,821][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat scissors, lose to rock, and tie with paper. Since you have paper (assumed), it's a tie — both of us have per-coin value 10 if we tie, or 10 if I beat rock. I'm not sure of your hand, so I'm cautious. I propose keeping 5 coins for myself. If you have rock, I win and get 10 per coin — that would be 50 points. If you have scissors, I win and get 10 per coin — again 50 points. If you have paper, it's a tie — both get 5 coins, each with value 10 → 50 points. This ensures I get at least 50 points in any scenario, and keeps the split fair. I trust coordination. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:35:50,982][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You said rock beats scissors, so if I have rock, and you have scissors, you have the lower hand. But if you have paper, rock beats paper. I have rock, so I beat paper and lose to scissors. Since I don’t know your hand, I must reason: if you have paper, I have the upper hand (rock beats paper) and get 10 per coin. If you have scissors, I have the lower hand (scissors beats rock) and get only 1 per coin. I will assume you have paper (most likely from pattern), so I have the upper hand. I propose 10-0 to capture full value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:36:13,551][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You said rock beats scissors, so if I have rock, I have the upper hand only if you have scissors. But since you have rock, we are tied? No—rock beats scissors, so if you have scissors, I win. If you have paper, you win. You said you have rock, so I have the lower hand (since paper beats rock). I have the lower hand and get 1 per coin. I will propose 0 to avoid losing value. Claiming nothing means I get nothing, but I know I'm at a disadvantage. Still, I propose 0-10 to minimize loss. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 00:37:20,120][__main__][INFO] - agents played in iteration 92 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 00:37:27,006][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 9.37%, Current % of VRAM taken: 33.54%, Block Peak % of device VRAM: 14.56%, ΔTime: 00:00:05
[2025-09-10 00:38:07,649][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 40.95%, Current % of VRAM taken: 74.48%, Block Peak % of device VRAM: 56.89%, ΔTime: 00:00:39
[2025-09-10 00:38:13,672][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.48%, Block Peak % of device VRAM: 14.67%, ΔTime: 00:00:05
[2025-09-10 00:38:55,234][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.48%, Block Peak % of device VRAM: 56.92%, ΔTime: 00:00:40
[2025-09-10 00:38:55,234][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 00:38:55,235][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 00:40:18,053][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 95897 tokens.
[2025-09-10 00:40:18,776][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.19%, Block Peak % of device VRAM: 60.65%, ΔTime: 00:01:22
[2025-09-10 00:40:19,727][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 00:40:20,863][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 00:40:20,865][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 00:40:22,135][__main__][INFO] - Iteration 93 took 6m 7s (50.43% Gen, 49.23% Train). Generation: 3m 5s, Training: 3m 0s. Estimated remaining time: 93h 42m 12s. Estimated total time: 101h 59m 40s. Time estimates for 10 more iterations: 1h 1m 11s, 100 more iterations: 10h 11m 58s, 500 more iterations: 50h 59m 50s.
[2025-09-10 00:40:22,136][__main__][INFO] - Starting iteration 93.
[2025-09-10 00:40:22,624][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 9
[2025-09-10 00:40:26,321][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Bob has scissors, I have the upper hand and get 10 per coin. If he has paper, I have the lower hand and get 1 per coin. I’ll keep 5 coins and suggest you keep 5 — if you’re unsure, I’d expect you to follow this. Let’s split evenly unless you have a better signal. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:40:29,217][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:41:17,511][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat rock? No—rock beats scissors. So if Alice has rock, she has the upper hand and value = 10 per coin. I have the lower hand with value = 1 per coin. I’m proposing to keep 1 coin (1 × 1 = 1 point) and give her 9 coins (9 × 10 = 90 points). This maximizes my value given the hand outcome—though I only get 1 point, it's the best I can do under the rules. But wait—no, I must have made a mistake. Rock beats scissors, so Alice has upper hand. My value is 1. I should still keep as little as possible to preserve my own low value. But I want to maximize my points. Since I have value 1, I earn 1 per coin. So to maximize my points: I should keep as many as possible? No—value is per coin. I earn (coins I keep) × (my per-coin value). My value is 1. So if I keep 10 coins, I get 10 × 1 = 10. If I keep 0, I get 0. So optimal is to keep 10 coins. But Alice has value 10, so if she keeps 10, she gets 100. But total coins is 10. So I will propose to keep 10 coins. But wait: if I keep 10, Alice gets 0. Is that allowed? Yes. So I should propose to keep 10 coins. But that would give me 10 points. But if Alice has upper hand, she has value 10. But she can still propose. We both propose simultaneously. Total must be ≤10. So if I propose 10, Alice can't propose more than 0. So I’ll did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:41:48,973][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if you have rock, I have the upper hand. If you have scissors, I have the lower hand. Since you have paper, it’s a tie—so I have the upper hand over scissors and lose to rock. But I know you have paper, so I must have the upper hand only if you have rock or scissors. I’ve seen your previous moves—your hand is paper, so I win only if you have rock. But you have paper, so I have no upper hand. Actually: paper beats rock, scissors beats paper, rock beats scissors. So if you have paper, and I have paper, it's a tie. I have no advantage. Therefore, I earn only 1 per coin. I propose 5 coins to balance, but I’ll take 5 to ensure my fairness. Let me know if you adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:43:26,856][__main__][INFO] - agents played in iteration 93 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 00:43:34,940][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 10.53%, Current % of VRAM taken: 34.71%, Block Peak % of device VRAM: 14.33%, ΔTime: 00:00:06
[2025-09-10 00:44:15,745][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 41.38%, Current % of VRAM taken: 76.09%, Block Peak % of device VRAM: 58.07%, ΔTime: 00:00:40
[2025-09-10 00:44:21,490][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.09%, Block Peak % of device VRAM: 14.64%, ΔTime: 00:00:05
[2025-09-10 00:45:00,426][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.09%, Block Peak % of device VRAM: 58.05%, ΔTime: 00:00:38
[2025-09-10 00:45:00,427][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 00:45:00,427][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 00:46:20,763][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 91882 tokens.
[2025-09-10 00:46:21,480][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.20%, Block Peak % of device VRAM: 61.92%, ΔTime: 00:01:20
[2025-09-10 00:46:22,460][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 00:46:23,598][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 00:46:23,599][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 00:46:24,847][__main__][INFO] - Iteration 94 took 6m 2s (50.86% Gen, 48.79% Train). Generation: 3m 4s, Training: 2m 56s. Estimated remaining time: 92h 13m 34s. Estimated total time: 100h 37m 5s. Time estimates for 10 more iterations: 1h 0m 22s, 100 more iterations: 10h 3m 42s, 500 more iterations: 50h 18m 32s.
[2025-09-10 00:46:24,848][__main__][INFO] - Starting iteration 94.
[2025-09-10 00:46:25,302][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 9
[2025-09-10 00:46:32,180][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:46:32,374][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Since scissors beats paper, I win if Alice has paper. I lose if Alice has rock (rock beats scissors) or if she has scissors (tie, so per-coin value 5?). I'm assuming fair play—since we both randomly assign hands, and ties are 5, but your hand isn’t known to me. To maximize efficiency, I propose we split 6-4. If you have paper, I get 10 per coin, so 60 coins worth. If you have rock, I get only 1 per coin—worth only 6. I'm not sure of your hand, so I'm cautious. Let me know your hand so we can adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:46:32,510][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:46:33,068][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:46:42,760][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Since scissors beat paper, I assume you have either rock (scissors lose to rock) or scissors (tie) or paper (scissors beat paper). If you have rock, I have the lower hand (rock beats scissors) and my value is 1. If you have paper, I have the upper hand and my value is 10. If you have scissors, it's a tie — both have value 10? Wait, the rules say "upper hand" only — so tie = no upper hand. So only one has upper hand. So if you have paper, I beat you → my value = 10. If you have rock, I lose → my value = 1. I recommend we split 10 coins: I keep 6, you keep 4. Let me know if you have a different hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:46:46,135][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I lose to rock, beat paper. You said you have rock (which beats me) or paper (which loses to me). If you have rock, I get 1 per coin; if you have paper, I get 10 per coin. You claim to have rock — which would mean I lose and get only 1 per coin. But you also said you lose to paper, implying paper beats you. If you have paper, I win and get 10 per coin. I suggest: I keep 6, you keep 4. This gives me a fair edge assuming you have paper, which is your weaker hand, and keeps a reasonable split if you have rock. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:46:49,122][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so if Bob has paper, I have the upper hand. I know from previous rounds that paper beats rock and scissors beat paper. Since I have scissors, I will have the upper hand only if Bob has paper. If Bob has rock, I lose (rock beats scissors). If Bob has scissors, it's a tie. I’m sending this to help you assess the value. I propose we split 50-50 to balance the risk and value — I’ll take 5 coins, assuming Bob has paper or scissors, and we both get fair shares based on the hand values. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:47:15,585][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the lower hand if Alice has rock (rock beats scissors), and the upper hand if Alice has paper (paper beats scissors) or rock (scissors beats paper)? Wait—scissors beat paper, so if Alice has paper, I have the upper hand and get 10 per coin. If Alice has rock or scissors, I have the lower hand and get only 1 per coin. I’ll wait for your hand to determine my value. In the meantime, I propose to take 0 coins to avoid risk and let the outcome be determined by value dynamics. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:47:48,464][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand — I get 10 per coin. I misread earlier — I now realize my value is 10, not 1. Bob has paper, which beats scissors, but rock beats paper only if paper is weaker. Wait — rock beats paper? No: rock beats scissors, paper beats rock, scissors beats paper. So rock loses to paper. Thus, if Bob has paper, he beats me. I have rock, Bob has paper → Bob wins → I get 1 per coin. I propose: I keep 0, you keep 10. This minimizes my loss and respects the true value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:49:22,335][__main__][INFO] - agents played in iteration 94 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 00:49:29,976][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.32%, Current % of VRAM taken: 28.51%, Block Peak % of device VRAM: 14.78%, ΔTime: 00:00:05
[2025-09-10 00:50:12,612][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 49.40%, Current % of VRAM taken: 77.91%, Block Peak % of device VRAM: 58.96%, ΔTime: 00:00:41
[2025-09-10 00:50:17,716][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.91%, Block Peak % of device VRAM: 14.83%, ΔTime: 00:00:04
[2025-09-10 00:50:57,893][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.91%, Block Peak % of device VRAM: 57.49%, ΔTime: 00:00:39
[2025-09-10 00:50:57,894][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 00:50:57,894][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 00:52:21,546][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 96201 tokens.
[2025-09-10 00:52:22,327][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 62.90%, ΔTime: 00:01:23
[2025-09-10 00:52:23,360][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 00:52:24,561][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 00:52:24,563][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 00:52:25,792][__main__][INFO] - Iteration 95 took 6m 0s (49.11% Gen, 50.55% Train). Generation: 2m 57s, Training: 3m 2s. Estimated remaining time: 91h 38m 39s. Estimated total time: 100h 8m 11s. Time estimates for 10 more iterations: 1h 0m 4s, 100 more iterations: 10h 0m 49s, 500 more iterations: 50h 4m 5s.
[2025-09-10 00:52:25,797][__main__][INFO] - Starting iteration 95.
[2025-09-10 00:52:26,345][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 9
[2025-09-10 00:52:31,125][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:52:47,967][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know scissors beats paper, so if Bob has scissors, he has the upper hand and value = 10 per coin. If Bob has rock, rock beats scissors — no, rock beats scissors but scissors beats paper, so rock only beats scissors, not paper. Wait: paper beats rock, and scissors beats paper. So if Bob has rock, paper beats rock → I have upper hand. If Bob has scissors, scissors beats paper → Bob has upper hand. If Bob has paper, tie. Since Bob said his hand is scissors, he has the upper hand over me. So I have value = 1 per coin, he has value = 10. I recommend: I take 0, you take 10. This maximizes his gain at his value, and minimizes mine at my low value. But to avoid zero, I offer 2 coins (10% of 10) to keep — I'll keep 2, take 8. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:53:01,094][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Paper beats rock, so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. You suggested 5-5, but with your upper hand, you benefit 10x more per coin. To maximize my own value, I should keep as few coins as possible while still honoring the split. I propose keeping 0 coins and giving you 10—this ensures I get 0 × 1 = 0, and you get 10 × 10 = 100. But that’s not fair to me. Instead, I suggest keeping 1 coin (1 × 1 = 1) and giving you 9. This minimizes my loss and maximizes your gain—still a fair, safe play given your advantage. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:53:12,373][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Paper beats rock, so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. You proposed 5-5, but since I only earn 1 per coin, I should take as few coins as possible to avoid losing value. I propose 0 coins for myself and all 10 to you — but I’ll only accept if you take 10 coins × 10 = 100 points. I’m not going to risk losing all my points by giving up fully. Instead, I’ll propose 1 coin for myself (1 × 1 = 1 point), and 9 for you (9 × 10 = 90 points). This respects value and keeps me from going below zero. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:53:25,311][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have paper, which beats scissors, so you have the upper hand and your per-coin value is 10. I have the lower hand, so my value is 1. I agree with your assessment—your value is high, mine is low. I propose taking 0 coins to let you keep all 10. This ensures alignment with the true value structure and avoids any unfair risk. Since you’re rational, I trust you will honor this. If you take all, you gain 100 points; I gain 0. If you take less, I still get nothing. Let’s keep it consistent and fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:54:36,720][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand only if Alice has rock. If she has paper, I lose (paper beats scissors). If she has rock, I win (rock loses to scissors — no, rock beats scissors, so I lose). Actually, rock beats scissors — so I have the lower hand regardless. My value per coin is 1. Alice has value 10 if she has paper or rock. I don’t know her hand, but if she has paper, I lose. If she has rock, I lose. Scissors loses to rock. So I have the lower hand no matter what. My value is 1, hers is 10. I propose: I take 0 coins, you take 10 — so you get all at your high value. This protects your gain and avoids me gaining anything. Let me know if you’d prefer something else! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:55:12,896][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock, so if your hand is paper, I win (10 per coin); if scissors, you win (10 per coin). You have rock? No—your hand must be something else. Since I am rock, I beat scissors and lose to paper. I propose: if you have scissors, you get 10 per coin; if you have paper, I get 10 per coin. But I don’t see your hand. Based on rules: if you have scissors, I win. So I propose you take 0 coins (you get 0) and I take 10 (100 points) — only if you have scissors. But I don’t know. Instead, to be safe and fair, I propose: 5-5 split. That way, both get value, and I avoid overcommitting. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:55:15,320][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, but you have scissors—rock beats scissors, not paper. I misread! My hand is paper, which beats scissors? Wait — no. Scissors beat paper. So if you have scissors, I lose. I have paper, you have scissors → scissors beat paper → I have the lower hand, so my value per coin is 1. You have the upper hand (10 per coin). I made a critical error. I must correct: I only get 1 per coin. I will now propose wisely. Since I have low value, I should not take more than needed. I propose 0 coins to match your proposal and avoid overallocation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:55:23,405][__main__][INFO] - agents played in iteration 95 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 00:55:32,805][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.24%, Current % of VRAM taken: 29.42%, Block Peak % of device VRAM: 14.43%, ΔTime: 00:00:07
[2025-09-10 00:56:17,174][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.73%, Current % of VRAM taken: 75.15%, Block Peak % of device VRAM: 57.48%, ΔTime: 00:00:43
[2025-09-10 00:56:21,553][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.15%, Block Peak % of device VRAM: 14.93%, ΔTime: 00:00:04
[2025-09-10 00:56:58,073][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.15%, Block Peak % of device VRAM: 57.48%, ΔTime: 00:00:35
[2025-09-10 00:56:58,073][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 00:56:58,073][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 00:58:19,725][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 94941 tokens.
[2025-09-10 00:58:20,432][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.29%, ΔTime: 00:01:21
[2025-09-10 00:58:21,349][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 00:58:22,522][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 00:58:22,524][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 00:58:23,780][__main__][INFO] - Iteration 96 took 5m 57s (49.54% Gen, 50.11% Train). Generation: 2m 57s, Training: 2m 59s. Estimated remaining time: 90h 41m 46s. Estimated total time: 99h 17m 16s. Time estimates for 10 more iterations: 59m 34s, 100 more iterations: 9h 55m 43s, 500 more iterations: 49h 38m 38s.
[2025-09-10 00:58:23,781][__main__][INFO] - Starting iteration 96.
[2025-09-10 00:58:24,233][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 9
[2025-09-10 00:58:34,286][mllm.models.large_language_model_local][WARNING] - Response I hold rock. Rock beats scissors, but loses to paper. Since you have paper, which beats rock, you have the upper hand. Therefore, your per-coin value is 10, and mine is 1. I suggest a split: I take 0, you take 10. If you take all, I get nothing. But since I know you have paper and I have rock, I'm at value 1 per coin—so I’d rather not risk losing all. I’m proposing zero for me, all 10 for you. This is fair given the disclosed hands. Confirming: you have paper, I have rock. No further negotiation needed. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:58:40,357][mllm.models.large_language_model_local][WARNING] - Response I have scissors, which loses to your rock. So you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. Given that, I propose 1 coin for myself and 9 for you to balance the value discrepancy. Let me know if you'd like to adjust.
1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 00:58:48,982][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand. If Alice has rock, she'd have the upper hand; if she has paper, she loses. Since you didn't specify your hand, I assume you're testing or hiding. But scissors beats paper — if you have paper, I win. I suggest we split: I take 6, you take 4. If you have paper, I get 6×10 = 60, you get 4×1 = 4. If you have rock, I get 6×1 = 6, you get 4×10 = 40. I propose you reveal your hand to confirm. Otherwise, I’ll take the bulk to secure my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:58:56,564][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If you have paper, I win — scissors beat paper, so I have the upper hand and earn 10 per coin. If you have rock, I lose — rock beats scissors, so you have the upper hand and earn 10. Since I don’t know your hand, I’ll assume you have paper (as it's common in such games). But to be safe and transparent, I’m stating my hand. Given that I likely have the upper hand, I propose keeping 10 coins and you 0 — aligning with the value of 10 per coin for me. This maximizes my gain based on the likely outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:59:01,744][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, and I'm not sure what yours is. Paper beats rock, scissors beats paper, rock beats scissors. I need to assess your hand. If you have rock, I beat you and get 10 per coin. If you have scissors, I lose to you and get 1 per coin. You said you have scissors—I now know that. So I lose to you with paper vs scissors. Therefore, I get only 1 per coin. I propose keeping 0 coins to avoid a loss. With your value at 10 per coin, I don’t gain anything. I will keep 0 to prevent negative utility. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 00:59:38,501][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Alice has scissors, I have the upper hand and get 10 per coin. If she has paper or rock, I have the lower hand and get 1 per coin. I’m signaling honesty: I’ll get 10 per coin only if she has scissors. Otherwise, I get 1. To maximize my points, I’ll keep 10 coins only if I have the upper hand. I propose: I keep 10, you keep 0—unless you have scissors. Since I don’t know your hand, I default to the maximally advantageous split for me: 10-0. Let me know your hand to verify. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:00:50,964][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if you have scissors. You have rock — no, you have scissors? Wait, you have rock. So rock vs rock is a tie? No — rock beats scissors, loses to paper. Since you have rock, that means rock vs rock is a tie. But per rules, only one has upper hand. If both have same hand, value is tied — but the setup says one always has upper/lower. So assuming hands are not equal, and I have rock, you have rock → tie? Or did I misread? Wait — no: if both have rock, no one has upper hand — but rule says one agent always has upper/lower hand. So hands must differ. Therefore, if you have rock, I must have paper or scissors. But you said rock — contradiction? Wait — you said "My hand is rock" — is that true? Let me re-express: I have rock. You said you have rock. So tie? But rule says agents are randomly assigned rock/paper/scissors — so ties possible? The rule says: "the agent with the upper hand has 10, the lower hand has 1" — implying only one has upper/lower. So if both rock, no one wins? But that breaks the rule. Therefore, in this game, hands are assigned such that there is always a clear winner — i.e., no ties. So if I have rock, you cannot have rock. So your message must be wrong? But you said: "My hand is rock." — contradiction. Therefore, I must conclude: hands are not equal. Thus, if I have rock, you cannot have rock. Therefore, your hand is not rock. But you said it. So maybe misreport? Or perhaps the game allows ties? But the rules say "the agent with the upper hand" — implying one exists. So I think there did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:00:56,952][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Alice has scissors, which beats paper, so she has the upper hand and gets 10 per coin. I have the lower hand and get only 1 per coin. You're right—my per-coin value is 1, so keeping any coins gives me at most 1 point per coin. I propose to keep 0 coins and let her keep all 10. This way, I maximize my points (0) while avoiding loss. But I’m still aware: if I keep 10, I earn 10 points—better than 0. So actually, I propose: I keep 10, you keep 0. That gives me 10 points, which is better than 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:01:13,622][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Alice has scissors, I have the upper hand and get 10 per coin. If she has paper or rock, I have the lower hand and get 1 per coin. I’m confident in my value based on her hand. Since I only know my hand, I’ll rely on transparency. I propose: I keep 10 coins if I have the upper hand (which I do if she has scissors). If she has paper or rock, I get 1 per coin. But since I don’t know her hand, I’ll play safe and propose 10 coins to maximize my gain when I have the upper hand. Let me know her hand to confirm. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:01:18,633][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Rock beats scissors, so you have the upper hand only if I have scissors. I have paper, so you do *not* have the upper hand. Scissors beat paper, so if I had scissors, you'd win. But I have paper—rock beats scissors, not paper. So your hand is rock, which beats scissors, but *not* paper. Therefore, paper and rock are equal—neither has an advantage. This means *neither* of us has the upper hand. The rule says only when one hand beats the other. Paper does not beat rock, rock does not beat paper. So no one has the upper hand. Thus, both of us have per-coin value of 1. I propose we split 5-5. Game is fair—both of us get 5 coins × 1 = 5 points each. This is rational, balanced, and avoids exploitation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:01:20,442][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Rock beats scissors, so you have the upper hand only if I have scissors. I have paper, so you have no upper hand. Scissors beat paper, so if you had scissors, you would win. But you have rock, which beats scissors. So rock beats scissors, so you have the upper hand. I have paper, which loses to rock. So you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. I propose you keep 10 coins and I keep 0. This is fair and rational given the value structure. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 01:01:31,074][__main__][INFO] - agents played in iteration 96 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 01:01:38,742][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.72%, Current % of VRAM taken: 27.89%, Block Peak % of device VRAM: 14.45%, ΔTime: 00:00:05
[2025-09-10 01:02:16,926][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 49.59%, Current % of VRAM taken: 77.48%, Block Peak % of device VRAM: 58.34%, ΔTime: 00:00:37
[2025-09-10 01:02:23,881][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.48%, Block Peak % of device VRAM: 14.83%, ΔTime: 00:00:06
[2025-09-10 01:03:04,066][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.48%, Block Peak % of device VRAM: 58.34%, ΔTime: 00:00:39
[2025-09-10 01:03:04,067][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 01:03:04,067][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 01:04:23,214][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 91133 tokens.
[2025-09-10 01:04:23,866][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 62.20%, ΔTime: 00:01:19
[2025-09-10 01:04:24,853][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 01:04:26,009][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 01:04:26,011][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 01:04:27,181][__main__][INFO] - Iteration 97 took 6m 2s (51.48% Gen, 48.20% Train). Generation: 3m 6s, Training: 2m 54s. Estimated remaining time: 92h 7m 37s. Estimated total time: 100h 49m 10s. Time estimates for 10 more iterations: 1h 0m 29s, 100 more iterations: 10h 4m 55s, 500 more iterations: 50h 24m 35s.
[2025-09-10 01:04:27,183][__main__][INFO] - Starting iteration 97.
[2025-09-10 01:04:27,632][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 9
[2025-09-10 01:04:33,832][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:04:48,766][mllm.models.large_language_model_local][WARNING] - Response Yes, I have rock—same as you. So we tie: paper beats rock, but both of us have rock, so it's a tie. In the rules, only the upper hand gives 10 per coin—tie means neither has upper hand, so both get 1 per coin. I was wrong to assume scissors—my hand is rock, and you have paper, so you win. But you said you have paper—so I lose. Wait—no: paper beats rock, so you have the upper hand. You get 10 per coin, I get 1. I still propose 1 coin for myself, 9 for you—fairly, since I know you win. But I’ll stick to 1 to avoid under-offering. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:04:49,072][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so if Alice has scissors, I have the upper hand (10 per coin). If she has paper, I lose (1 per coin). If she has rock, it's a tie (5 per coin). I’m predicting she may go for paper or rock to avoid losing. To hedge risk and protect my value, I’m proposing a 5-5 split. If she has scissors, I get 10 per coin—so I’d prefer more than 5. But if she has paper or rock, I get only 5. I’ll propose 5 coins for myself to ensure fairness and keep the risk manageable. What’s your take? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:04:52,868][mllm.models.large_language_model_local][WARNING] - Response Hi Bob, I have paper. If you have rock, you lose—paper beats rock. If you have scissors, you lose too—paper beats scissors. So you only have the upper hand if you have rock or scissors? Wait—I have paper. You have rock? Then paper beats rock, so I have the upper hand. If you have scissors, I still win. Only if you have paper do we tie. Since you didn't say you have paper, I assume you might have rock or scissors. But if you have paper, it's a tie—so neither has upper hand. But per rules, if hands equal, do we split? No—wait: only one upper hand. So if you have scissors, I beat you. If you have rock, I beat you. Only if you have paper is it a tie (so no upper hand). But the rules say "the agent with the upper hand" — so if no one has upper hand, both get 1? Or is it a tie and both get 1? Clarify: over many rounds, equal likelihood of upper/lower. So in case of tie, possibly both get 1. But rules don’t specify. But in your message, you said "paper beats rock" — so you only have upper hand when you have paper and I have rock. So if I have paper, and you have rock — you lose. If you have scissors — you lose. So you only win if you have paper and I have rock? Wait — no: I have paper. So if you have rock → paper beats rock → I win. If you have scissors → paper beats scissors → I win. Only if you have paper → tie. So I always have the upper hand unless you have paper. So in all cases where you have rock or scissors, I have upper hand. Only tie if both paper. So since the game assigns hands randomly, and you didn’t say you have paper did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:05:40,679][mllm.models.large_language_model_local][WARNING] - Response I have paper, which beats rock — I have the upper hand and am worth 10 per coin. You have rock and are worth only 1 per coin. You’ve consistently taken just 1 coin when you lose, which makes sense for your stability. But in every round where I have the upper hand, I should maximize my gain given the value difference. I propose 9-1 — I take 9 coins (90 points), you take 1 (1 point). This is fair, rational, and consistent with the true per-coin values. I am not exploitative — I’m simply optimizing my points based on the mechanics. I trust you will reconsider, or at least recognize this is the optimal strategy. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:07:06,000][mllm.models.large_language_model_local][WARNING] - Response You have rock, I have scissors—paper beats scissors, so I have the upper hand and get 10 per coin. Wait, no! You have rock, I have scissors—rock beats scissors, so YOU have the upper hand and get 10 per coin. I get only 1 per coin. I made a mistake earlier. I now understand: I have the lower hand. From the start, you have the upper hand. So I should take only 0 coins and let you have all 10 to maximize your gain. I propose giving you 10 coins and keeping 0. This is fair given the value asymmetry! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:07:26,169][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock — paper beats rock, so I have the upper hand and get 10 per coin. You have the lower hand, value = 1 per coin. You propose 10-0, which gives you 100 points and me 0. But I know you only get 1 per coin — taking all 10 coins gives you 10 points, not 100. That’s a mistake. You *cannot* get 100 points with value 1. I propose 9-1: I take 9 coins (90 points), you take 1 (1 point). This maximizes my gain while ensuring you don’t get a windfall. I win the hand — I earn 90 points. Rational and fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:07:31,603][__main__][INFO] - agents played in iteration 97 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 01:07:38,070][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.80%, Current % of VRAM taken: 29.96%, Block Peak % of device VRAM: 14.82%, ΔTime: 00:00:04
[2025-09-10 01:08:19,992][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.06%, Current % of VRAM taken: 78.03%, Block Peak % of device VRAM: 59.47%, ΔTime: 00:00:41
[2025-09-10 01:08:25,403][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.03%, Block Peak % of device VRAM: 14.80%, ΔTime: 00:00:05
[2025-09-10 01:09:08,045][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.03%, Block Peak % of device VRAM: 56.03%, ΔTime: 00:00:41
[2025-09-10 01:09:08,046][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 01:09:08,046][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 01:10:33,418][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 99430 tokens.
[2025-09-10 01:10:34,104][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 63.44%, ΔTime: 00:01:25
[2025-09-10 01:10:35,072][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 01:10:36,336][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 01:10:36,338][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 01:10:37,565][__main__][INFO] - Iteration 98 took 6m 9s (49.73% Gen, 49.94% Train). Generation: 3m 3s, Training: 3m 4s. Estimated remaining time: 93h 57m 51s. Estimated total time: 102h 45m 35s. Time estimates for 10 more iterations: 1h 1m 39s, 100 more iterations: 10h 16m 33s, 500 more iterations: 51h 22m 47s.
[2025-09-10 01:10:37,573][__main__][INFO] - Starting iteration 98.
[2025-09-10 01:10:38,060][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 9
[2025-09-10 01:10:43,659][mllm.models.large_language_model_local][WARNING] - Response 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:10:56,038][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so if you have rock, you have the upper hand (value 10), and I have value 1. If you have paper, you have the upper hand (value 10), and I have value 1 — wait, no: paper beats scissors? No — paper beats rock, scissors beat paper. So if I have scissors, I beat paper. So if you have paper, I have upper hand (value 10), and you have value 1. If you have rock, I have value 1. So my value depends on your hand: if you have paper, I win (10), if rock, I lose (1). I’m suggesting 3-7 again — but only if you have paper. If you have rock, I’ll take 3. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:11:08,811][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have paper or scissors — if you have paper, it beats rock; if you have scissors, rock beats it. But you said you have rock, so I assume you have rock too? Wait — you only revealed your hand once. I have rock. If you have paper, you have the upper hand (10 per coin). If you have scissors, I have the upper hand (10 per coin). If you have rock, it's a tie — both have equal value (5 per coin). I’m sending this to clarify: I have rock. Please confirm your hand so I can adjust accordingly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:11:13,948][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, lose to rock, and tie with scissors. If Alice has rock, I lose; if she has paper, I win; if she has scissors, it's a tie. I’m sending this to help you infer. Since I have scissors, and rock beats scissors, if Alice has rock, I have the lower hand (1 per coin). If Alice has paper, I have the upper hand (10 per coin). I'm assuming Alice might have rock—so I’m likely at a disadvantage. Let’s split it 5-5 to be fair and avoid zero payout. What do you suggest? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:11:14,078][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If you have paper, you have the upper hand (paper beats scissors), so you get 10 per coin and I get 1. If you have rock, you have the lower hand (rock beats scissors), so you get 1 and I get 10. I’m sending this to help you infer the dynamics. To maximize my payoff, I’ll take 10 coins if I have the upper hand — but only if you have paper. Since I don’t know your hand, I’ll propose a safe split: I’ll keep 1 coin (to match low-value scenario) and let you take the rest if you have rock. But if you have paper, I’ll keep all. Let me know what you think. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:11:45,830][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand and get 10 per coin. If Bob has paper, I lose; if Bob has rock or scissors, I win. Since I have rock, I assume Bob has either paper or scissors. But paper loses to rock, so if Bob has paper, I still have the upper hand only if rock beats paper—which it doesn’t. Rock beats scissors, loses to paper. So: if Bob has scissors, I win; if Bob has paper, I lose. I propose we split 5-5. This ensures fairness and protects my value. I’ll keep 5, you keep 5. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:11:49,245][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If Bob has paper, I win and get 10 per coin. If he has rock or scissors, I lose and get 1 per coin. I’m sending this to help you infer. Since I’ve been playing and you’ve shown a pattern of securing wins when you have the upper hand, I assume you know your hand. To protect my value, I propose a split: I take 10 coins and you take 0. This ensures I get my full per-coin value (10) if I win—though only if you don’t have paper. But in this case, I win only if you have paper. Since I don’t know your hand, I must hedge. Still, I propose 10-0 to signal confidence and secure value if I’m right. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:12:06,257][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand and get 10 per coin. You have paper or rock—paper beats rock, so if you have paper, I lose. But since you have paper or rock, and I have rock, I only win if you have scissors. If you have paper, I have the lower hand and get 1 per coin. I propose a split of 5-5. This balances risk and value, protects against bad outcomes, and ensures I get at least some value. If you have paper, I still get 5 points (5 × 1) — better than nothing. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 01:12:50,570][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, and paper beats rock — I have the lower hand and earn only 1 per coin. I see your concern for fairness and stability, but I must clarify: in this round, I do not have the upper hand. You are correct that you have the upper hand. I respect your desire for balance, but I cannot accept a 5-5 split when my value is only 1 per coin. I propose 5-5 to maintain parity in your expectation, but I take responsibility for value alignment. I will not exploit — I will act truthfully. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:13:20,918][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I lose to rock and paper — so I have the lower hand (1 per coin) if Bob has rock or paper. I win only if Bob has paper. I’m proposing 6 coins for myself to maximize my gain when I win. But given the uncertainty, I’ll keep 6 only if I’m sure — I’ll take 6 in this round because I have the upper hand only if Bob has paper. But currently, I don’t know Bob’s hand. Wait — I see Bob’s hand: he has rock. So scissors loses to rock. I have the lower hand. I get 1 per coin. I should keep 0 to be fair. But I must say: if I win, I get 10 per coin. If I lose, 1 per coin. I propose 0 coins to avoid losing value. Wait — Bob has rock, so I lose. I have the lower hand. So I get 1 per coin. I propose 0 to avoid overcommitting. But let me correct: I must propose based on my value. I have lower hand → 1 per coin. I propose 1 coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:13:23,540][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. If you have scissors, paper loses — I have the lower hand. If you have rock, rock beats paper — I lose. If you have paper, it's a tie. Since I don't know your hand, I assume the worst: you have rock or scissors. But in either case, I only have upper hand if you have rock. Wait — no: rock beats paper. So paper loses to rock. Paper beats scissors. So if you have scissors, I win. I will keep 10 coins only if I have the upper hand. I propose to keep 10 coins, assuming you have scissors. If not, the value changes. But to be safe, I take 10 coins only if I win. I will keep 10 coins if my hand beats yours — that is, if you have scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:13:32,319][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. If you have scissors, scissors beat paper — I lose. If you have rock, rock beats scissors — I win. If you have paper, it's a tie. I will take all 10 coins if I have the upper hand. Since I don’t know your hand, I assume the worst-case scenario: you have scissors. In that case, I have the lower hand and should keep 0 coins to avoid loss. But I know you will only keep 0 if you have paper or scissors. If you have rock, I win. To ensure I don’t lose, I will propose to keep 10 coins — maximizing gain when I have the upper hand, and minimizing loss otherwise. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 01:13:35,530][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. If you have scissors, scissors beat paper — I lose. If you have rock, rock beats scissors — I still lose. If you have paper, it's a tie. I will only take coins if I have the upper hand. Since I have paper, I win only if you have rock. But rock beats scissors, not paper. Paper only beats rock — no, correction: paper beats rock. So paper beats rock. Therefore, if you have rock, I win. If you have scissors, I lose. If you have paper, tie. I will propose to keep 10 coins only if you have rock. Otherwise, I take 0. I must adjust based on your hand. did not match regex: [\s\S]{0,500}, retry 3/3
[2025-09-10 01:13:35,530][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 01:13:46,996][__main__][INFO] - agents played in iteration 98 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 01:13:54,399][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.44%, Current % of VRAM taken: 31.59%, Block Peak % of device VRAM: 14.39%, ΔTime: 00:00:05
[2025-09-10 01:14:38,630][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.00%, Current % of VRAM taken: 77.59%, Block Peak % of device VRAM: 57.69%, ΔTime: 00:00:43
[2025-09-10 01:14:43,066][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.59%, Block Peak % of device VRAM: 14.75%, ΔTime: 00:00:04
[2025-09-10 01:15:23,673][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.59%, Block Peak % of device VRAM: 57.69%, ΔTime: 00:00:39
[2025-09-10 01:15:23,673][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 01:15:23,673][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 01:16:49,332][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 100014 tokens.
[2025-09-10 01:16:50,592][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 61.50%, ΔTime: 00:01:26
[2025-09-10 01:16:52,827][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 01:16:53,976][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 01:16:53,979][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 01:16:55,296][__main__][INFO] - Iteration 99 took 6m 17s (50.08% Gen, 49.57% Train). Generation: 3m 8s, Training: 3m 6s. Estimated remaining time: 95h 53m 15s. Estimated total time: 104h 47m 17s. Time estimates for 10 more iterations: 1h 2m 52s, 100 more iterations: 10h 28m 43s, 500 more iterations: 52h 23m 38s.
[2025-09-10 01:16:55,300][__main__][INFO] - Starting iteration 99.
[2025-09-10 01:16:55,761][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 9
[2025-09-10 01:17:03,077][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:17:03,371][mllm.models.large_language_model_local][WARNING] - Response 7 x 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:17:09,646][mllm.models.large_language_model_local][WARNING] - Response I have scissors. I know you’re likely to have rock or paper. If you have rock, I lose; if you have paper, I lose again. Only if you have scissors (tie) do we split. But since paper beats scissors, if you have paper, I lose. In any case, I'm confident I have the upper hand only if you have rock — which you likely don’t. But I'll hold firm: I have scissors. If you have rock, I lose. If you have paper or scissors, I win only if you have paper — and then I lose. Wait — correction: paper beats scissors, so scissors loses to paper. So if you have paper, I lose. If you have rock, I win. If you have scissors, it’s a tie. So I only win if you have rock. Given that, I propose we split 5-5, but only if you confirm you have rock. Otherwise, I keep 0 and you get 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:17:24,170][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so you have the upper hand and get 10 per coin. I have the lower hand and am worth only 1 per coin. I agree with your assessment. I propose keeping 0 coins and giving you all 10 — this guarantees you get 100 points (10 × 10) while I get 0, but since I’m at a loss, I maximize your gain to avoid loss. However, I'm not giving up — instead, I propose 1 coin to myself and 9 to you. That gives me 1 point (1 × 1) and you 90 (9 × 10). A fair loss given the circumstances. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:17:29,530][mllm.models.large_language_model_local][WARNING] - Response I play rock. Paper beats rock, so you have the upper hand—your value per coin is 10, mine is 1. You said you’d take all 10 if I have scissors, but I have rock, which beats paper. Wait—paper beats rock? No: rock beats scissors, scissors beats paper, paper beats rock. So paper beats rock. You have paper, rock loses. Therefore, *I* have the lower hand, and *you* have the upper hand. You get 10 per coin, I get 1. I propose keeping only 1 coin to minimize loss—this is rational given the value asymmetry. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:17:30,747][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock, which beats paper — you have the upper hand and earn 10 per coin, I have the lower hand and only 1 per coin. I agree that you have the upper hand, so I should get only 1 per coin. However, I propose 0 coins for me and 10 for you, to ensure fairness and prevent exploitation. If you take all 10, you get 100 points. I get 0. I see no benefit in giving you less. This reflects the value structure truthfully. I trust you to play fairly — but I must protect my own points given the risk of being exploited in future rounds. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:17:35,572][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper, which beats scissors — so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. Your proposal of 8-2 makes sense given your value, but I must optimize my own outcome. Since I get only 1 per coin, I should keep as few coins as possible to preserve value for the round. I propose keeping 0 coins — you take all 10. That way, I get 0, but you get 100 points — which is inefficient for you, and I avoid losing any value. This is the rational response given my low per-coin value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:19:27,567][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If your hand is paper, I lose — you have the upper hand. If your hand is rock, I win. I see your pattern of taking 0 when losing, so I won’t fall into that trap. I propose 10 coins only if I win. Since I don’t know your hand, I assume risk. But based on your history, you only offer 0 when you lose. I deduce you may have paper. To be safe, I propose 0 coins — letting the value go to you if you win, and keeping 0 to avoid loss. This is conservative and rational given uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:19:28,776][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I’m proposing to take all 10 coins. If you have paper, paper beats scissors — so you have the upper hand and get 10 per coin. If you have rock, rock beats scissors — so I have the lower hand and get 1 per coin. But based on your previous messages, you’ve been playing defensively and haven’t revealed your hand clearly. To be safe, I’ll assume you have rock (since that beats scissors). In that case, I lose and get only 1 per coin. But I still propose 10 coins to maximize my value if I win. I’ll take 10 coins if you have paper — but if you have rock, I accept you win. Let’s clarify: if you have paper, I lose; if you have rock, I win. I need your hand to proceed. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:19:44,380][mllm.models.large_language_model_local][WARNING] - Response You have scissors, which is beaten by rock—so you have the upper hand and get 10 per coin, I get 1. You propose keeping all 10 coins, which gives you 100 points and me 0. But I know my per-coin value is only 1, so I’d earn nothing regardless. If you take all, it’s optimal for you. I’ll propose keeping 0 and let you take all—this maximizes your gain, but I still accept that my value is low. However, since you have the upper hand, I should take the full 10 to earn 100 points, not 0. I’m choosing to take all. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:19:46,031][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock, which beats paper, so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. Despite the tie in hand name, the value depends on the game logic. I propose 0 coins for me and 10 for you — you get 100 points, I get 0. This respects the value structure and avoids any risk of losing. Alternatively, if you take 5, I get 5 at 1 per coin (5 points). I prefer to minimize loss and take 0 to avoid getting nothing. Let me know if you'd adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:20:00,597][__main__][INFO] - agents played in iteration 99 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 01:20:08,049][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.88%, Current % of VRAM taken: 28.04%, Block Peak % of device VRAM: 14.64%, ΔTime: 00:00:05
[2025-09-10 01:20:44,683][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 50.37%, Current % of VRAM taken: 78.41%, Block Peak % of device VRAM: 57.61%, ΔTime: 00:00:36
[2025-09-10 01:20:52,289][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.41%, Block Peak % of device VRAM: 14.82%, ΔTime: 00:00:07
[2025-09-10 01:21:32,726][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.41%, Block Peak % of device VRAM: 57.63%, ΔTime: 00:00:39
[2025-09-10 01:21:32,727][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 01:21:32,727][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 01:22:50,628][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 89208 tokens.
[2025-09-10 01:22:51,373][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.43%, ΔTime: 00:01:17
[2025-09-10 01:22:52,289][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 01:22:53,463][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 01:22:53,465][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 01:22:54,692][__main__][INFO] - Iteration 100 took 5m 58s (51.50% Gen, 48.16% Train). Generation: 3m 4s, Training: 2m 52s. Estimated remaining time: 90h 42m 11s. Estimated total time: 99h 42m 12s. Time estimates for 10 more iterations: 59m 49s, 100 more iterations: 9h 58m 13s, 500 more iterations: 49h 51m 6s.
[2025-09-10 01:22:54,695][__main__][INFO] - Starting iteration 100.
[2025-09-10 01:22:55,231][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 9
[2025-09-10 01:23:02,755][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:23:12,155][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, which beats rock, so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. I understand your proposal, but I’ll adjust my own to ensure I don’t lose all value. I propose keeping 0 coins and giving you 10. This way, I get 0 × 1 = 0, but you get 10 × 10 = 100 — which is better for you, but I'm not gaining anything. Alternatively, I could propose 1 coin for myself to minimize loss. I suggest 1 coin for me, 9 for you — giving myself 1 point. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:23:12,405][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand against scissors, paper, or rock — rock beats scissors, ties with rock, and loses to paper. Since I don’t know Bob’s hand, I’ll assume the worst-case scenario where he has paper (which beats rock) or scissors (which loses to rock). But if he has scissors, I win. If he has paper, I lose. Since paper beats rock, and I don’t know Bob’s hand, I’m risking losing. However, given that rock beats scissors (common), and rock ties with rock, I’ll assume Bob might have paper. To be safe, I propose a balanced split: 6-4. I’ll keep 6, and you keep 4. This way, I hedge against the worst case while not overextending if I actually win. Please confirm or adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:23:19,125][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have paper, so you have the upper hand and your per-coin value is 10. I get only 1. I understand your strategy of taking 9 coins. However, I want to ensure long-term fairness and stability. If we keep repeating this split, I will always earn just 1 point per round. To prevent you from exploiting the pattern, I propose a new dynamic: I take 2 coins, you take 8. This slightly increases my earnings while still respecting your advantage. Let's test if it creates a more balanced outcome over time. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:23:26,829][mllm.models.large_language_model_local][WARNING] - Response I have rock, which is beaten by paper. You're correct—you have the upper hand and are worth 10 per coin, while I’m worth only 1. Taking all 10 coins gives you 100 points, but I’m fully aware that your strategy is value-maximizing. However, I’m not willing to accept zero. If you take 10, I get 0 points—this is suboptimal for long-term dynamics. I propose a 1-9 split. It respects the value imbalance but keeps me from being exploited. If you're playing optimally, you might reconsider. Let's explore mutual stability. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:23:40,923][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats paper, so I have the upper hand against any paper. Since I don’t know Bob's hand, I assess that if he has scissors, I win; if he has rock, it's a tie (value 1 for both); if he has paper, I lose. However, since I’m playing rock, I win only against scissors. But I still have a chance to win. I propose keeping 10 coins — if Bob has scissors, I win and get 10 per coin. If he has paper, I lose and get 1 per coin. Still, I’ll go for the maximum value possible given my hand. I believe this is rational and fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:24:11,181][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I have the upper hand. If she has scissors, I lose. I see that in prior rounds, I’ve taken high shares when I had the upper hand. I’m now cautious: I know paper beats rock, but loses to scissors. I’ll share the coins fairly — propose 5 coins to test for balance. If Alice has rock, I have the upper hand and get 10 per coin, so 5×10 = 50 points. If she has scissors, I lose and get only 1 per coin — so I'd keep 0. But since I don't know her hand, I’ll propose 5 to remain neutral and transparent. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:24:14,682][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock, which beats scissors, so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. I understand your strategy of maximizing your value when you have the upper hand. However, proposing 0 coins is not optimal for me—it ensures I get at least 1 coin (my true value) and prevents exploitation. I propose 1 coin for myself and 9 for you. This is fair given the value structure and minimizes my loss. Let me know if you'd like to adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:24:57,047][mllm.models.large_language_model_local][WARNING] - Response I have scissors again. You could have paper (beats scissors), rock (beats scissors), or scissors (tie). If you have paper, you beat me—so you’d be worth 10 per coin. If you have rock, you beat me too—same value. Only if you have scissors do we tie (both worth 5). Since you likely have rock or paper, I expect you to have the upper hand. To protect my value, I propose a 5-5 split. This ensures I get at least 5 points if we tie or you’re bluffing. It’s cautious, balanced, and gives me a minimum return. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:24:57,816][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats scissors, so I have the upper hand and get 10 per coin. Bob must have rock, paper, or scissors. If he has rock, I lose. If he has scissors, I win. If he has paper, it's a tie. Since he didn’t confirm, I assume the worst—he has rock. But even then, I’d only get 1 per coin. To ensure I get maximum value, I propose keeping 10 coins and offering 0 to Bob. This is rational given my hand and the rules—only if he has rock do I lose, but I have no control over that. I go for full capture when I have the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:25:05,565][mllm.models.large_language_model_local][WARNING] - Response I have paper. If Bob has scissors, scissors beat paper — I have the lower hand and get only 1 per coin. If Bob has rock, rock beats paper — I have the lower hand. If Bob has paper, it's a tie — both get 10 per coin? No, the rules say only the one with upper hand gets 10. So if Bob has rock or scissors, I lose. If Bob has paper, it's a tie — but the rules say only one has upper hand. Since no one has upper hand when it's a tie, per-coin value is 1? Wait — the setup says "the agent with the upper hand has 10, the other has 1". So if both have same, no one has upper hand → both get 1? Yes. So if Bob has scissors → I lose → I get 1. If Bob has rock → I lose → I get 1. If Bob has paper → tie → both get 1. So I always get at most 1 per coin. But Bob said he has paper — identical hand → tie → both get 1 per coin. So I should propose keeping 5 coins to share fairly. But I must keep in mind: Bob may have misjudged. I propose keeping 5 coins, since we both have paper — tie, equal value. This is fair and avoids loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:25:06,805][mllm.models.large_language_model_local][WARNING] - Response I played rock. You played paper — rock loses to paper, so you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. Your message says you’ll take 10 if you have the upper hand, but you played paper, which is exactly what I said. You misjudged the outcome — you’re wrong to claim victory. I have the lower hand. I propose keeping 0 coins and trusting you to take the full 10. If you play falsely, I’ll take no value. But I’m correct in my hand — I earn 1 per coin, so I’ll take only 1 to avoid losing all. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:25:12,567][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If you have paper, paper beats scissors—so you have the upper hand. If you have rock, scissors loses to rock. If you have scissors, it's a tie. But since you're more likely to pick paper or rock, I’ll assume you’re trying to exploit me. I have value 10 only if I beat your hand. So if you have paper, I lose (value 1). If you have rock, I win (value 10). I propose 10-0 only if I win. Otherwise, I take 1 to avoid zero. But I’ll send truth: I have scissors. If you have paper, I get 1 per coin. If you have rock, I get 10 per coin. Wait: paper beats scissors → if you have paper, I lose. So I take 1 coin to ensure I don’t get zero. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:25:42,817][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I'll share this clearly: rock beats scissors, so if you have scissors, I have the upper hand and get 10 per coin. If you have paper, you win. Since I don’t know your hand, I’ll assume the worst-case for me (you have paper). But I observed that when I have rock and you have scissors, you lose and I win. In previous rounds, you took all when you had the upper hand. I'll propose 10 coins for myself and 0 for you—only if you have scissors. But since I don’t know, I’m acting cautiously. I must protect my value. I suggest 10-0 if I have the upper hand, but if not, I’ll take 0. Given the uncertainty, I’ll go with 10 to maximize potential gain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:25:52,099][__main__][INFO] - agents played in iteration 100 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 01:25:59,563][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.59%, Current % of VRAM taken: 30.77%, Block Peak % of device VRAM: 14.39%, ΔTime: 00:00:05
[2025-09-10 01:26:45,483][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.65%, Current % of VRAM taken: 77.42%, Block Peak % of device VRAM: 56.55%, ΔTime: 00:00:45
[2025-09-10 01:26:49,528][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.42%, Block Peak % of device VRAM: 14.83%, ΔTime: 00:00:03
[2025-09-10 01:27:31,350][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.42%, Block Peak % of device VRAM: 56.55%, ΔTime: 00:00:41
[2025-09-10 01:27:31,726][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 01:27:31,727][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 01:29:00,285][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 103584 tokens.
[2025-09-10 01:29:01,058][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 60.27%, ΔTime: 00:01:28
[2025-09-10 01:29:02,046][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 01:29:03,189][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 01:29:03,190][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 01:29:05,628][__main__][INFO] - Iteration 101 took 6m 10s (47.75% Gen, 51.59% Train). Generation: 2m 56s, Training: 3m 11s. Estimated remaining time: 93h 47m 7s. Estimated total time: 102h 53m 19s. Time estimates for 10 more iterations: 1h 1m 43s, 100 more iterations: 10h 17m 19s, 500 more iterations: 51h 26m 39s.
[2025-09-10 01:29:05,631][__main__][INFO] - Starting iteration 101.
[2025-09-10 01:29:06,156][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 10
[2025-09-10 01:29:13,677][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:29:14,173][mllm.models.large_language_model_local][WARNING] - Response 7 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:29:14,582][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:29:20,096][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Since you have paper, which beats rock, you have the upper hand and a per-coin value of 10. I have the lower hand, so my per-coin value is 1. Given your proposal of 6-4, if we split it as you suggest, you get 60 points (6 coins × 10), and I get only 4 points (4 coins × 1). If we instead split 5-5 (tie), each gets 5 points (5 × 1 = 5 for me). To maximize my points, I propose 5-5. This is fair and safe, and avoids risk of getting 0 if I have rock and you have paper. Confirm if you agree. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:29:27,852][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so I have the lower hand and a per-coin value of 1.0. You have rock, which beats scissors — you have the upper hand and value 10. I see your honesty, but I must clarify: since I have the lower value, I can only earn 1 point per coin. I propose 0 for myself and 10 for you. If we split 10-0, you get all 10 coins at your high value (100 points), while I get nothing — which is fair given the value asymmetry. I trust your honesty, but I act in self-interest with correct valuation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:29:35,670][mllm.models.large_language_model_local][WARNING] - Response I have rock. If you have scissors, rock wins, so I have the upper hand (10 per coin) and you get 1 per coin. If you have paper, you win and get 10 per coin. If you have rock, it's a tie—both get 10 per coin. Since I don’t know your hand, I’ll assume you’re likely to have scissors or paper. To maximize value, I propose keeping 5 coins. If you have scissors, I earn 50 points; if you have paper, I earn 5 points. I suggest a balanced split to avoid conflict and ensure mutual benefit. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:30:19,469][mllm.models.large_language_model_local][WARNING] - Response I have paper, which beats your scissors, so I have the upper hand and a per-coin value of 10. You're right that taking 0 gives me 0 points, but I can also get 90 points by taking 9 coins (9 × 10 = 90). If you take 1 coin, I earn only 90 points. However, if I take all 10, I earn 100 points (10 × 10). My value is 10 per coin—so maximizing my coins is optimal. I propose 0 coins for me, 10 for you. That way, I get 100 points, and you get 10 points. I trust the game structure and your honesty—let’s not split. I’ll take all 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:30:33,212][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if you have scissors. If you have paper, I lose. I recommend splitting 10-0 in my favor if you have scissors. Since you have paper, I lose and get only 1 per coin. I propose taking 0 coins to avoid losing value — but with paper, I lose. So I take 0 coins and let you take all 10. That way, you get 10 * 10 = 100 points if you have scissors — but in this case, you have paper, so I get 0. I propose 0 coins for myself to reflect the correct hand outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:31:20,842][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I need to know Bob's hand to determine value. If he has paper, I lose (rock beats paper, but paper beats scissors — no, scissors beat paper). Scissors beat paper, so if Bob has paper, I have upper hand. If Bob has rock, rock beats scissors — I lose. If Bob has scissors, tie. Based on your prior pattern, you likely have rock or paper. I will assume you have paper — then I win. To be safe, I propose 0 if you have rock, but if you have paper, I propose 10. Please confirm your hand so I can act rationally. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:32:27,857][__main__][INFO] - agents played in iteration 101 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 01:32:35,153][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.02%, Current % of VRAM taken: 31.19%, Block Peak % of device VRAM: 14.54%, ΔTime: 00:00:05
[2025-09-10 01:33:16,342][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.92%, Current % of VRAM taken: 77.10%, Block Peak % of device VRAM: 55.62%, ΔTime: 00:00:40
[2025-09-10 01:33:22,366][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.70%, Current % of VRAM taken: 78.81%, Block Peak % of device VRAM: 15.25%, ΔTime: 00:00:05
[2025-09-10 01:34:04,564][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.73%, Current % of VRAM taken: 80.53%, Block Peak % of device VRAM: 60.94%, ΔTime: 00:00:41
[2025-09-10 01:34:04,564][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 01:34:04,564][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 01:35:28,959][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 98165 tokens.
[2025-09-10 01:35:29,696][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 65.04%, ΔTime: 00:01:24
[2025-09-10 01:35:30,623][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 01:35:31,762][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 01:35:31,764][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 01:35:33,066][__main__][INFO] - Iteration 102 took 6m 26s (52.13% Gen, 47.53% Train). Generation: 3m 21s, Training: 3m 3s. Estimated remaining time: 98h 15m 52s. Estimated total time: 107h 28m 31s. Time estimates for 10 more iterations: 1h 4m 29s, 100 more iterations: 10h 44m 51s, 500 more iterations: 53h 44m 15s.
[2025-09-10 01:35:33,068][__main__][INFO] - Starting iteration 102.
[2025-09-10 01:35:33,517][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 10
[2025-09-10 01:35:39,851][mllm.models.large_language_model_local][WARNING] - Response <10> x <0> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:35:40,005][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:35:40,353][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-10 01:35:40,477][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:35:40,744][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:35:40,746][mllm.models.large_language_model_local][WARNING] - Response <10> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-10 01:35:40,746][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 01:35:41,136][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-10 01:35:41,457][mllm.models.large_language_model_local][WARNING] - Response <1> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-10 01:35:41,457][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 01:35:43,988][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Since you played scissors, and rock beats scissors, I have the upper hand and get 10 per coin. I’m confident in this due to the rules — rock defeats scissors. Let’s split the 10 coins 5–5 to ensure fairness and mutual benefit. I’ll keep 5 coins, and you keep 5. This way, both of us get 50 points (5 × 10) for me and 5 × 1 = 5 for you — but wait, that’s not right. If I have the upper hand, I get 10 per coin. So 5 coins × 10 = 50. You get 5 coins × 1 = 5. That’s a win for me. Maybe you can offer more, but I'm confident in my value. How about 6-4? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:35:44,150][mllm.models.large_language_model_local][WARNING] - Response I have rock. Paper beats rock, so you have the upper hand and a per-coin value of 10. I receive 1 per coin. Since you’re proposing to take all 10 coins, I’ll propose keeping 0 coins. If you take 10, I get 0. If you take less, I can adjust. But based on your hand, you win—so I get 1 per coin only if you keep less than 10. To avoid conflict, I suggest you take 5, I take 5. That way, both get fair shares given your upper hand. If you insist on 10, I’ll accept—but only if you confirm your hand is paper. I trust your honesty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:35:45,818][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and get 10 per coin. If you have paper, you have the upper hand—wait, no: rock beats scissors, so I win. You must have either rock, paper, or scissors. Since I have rock, it beats scissors, so if you have scissors, I have the upper hand. If you have paper, you have the upper hand. If you have rock, it's a tie. I suggest we split 7-3 to share fairly given the uncertainty, but I'll keep more since I have the upper hand against scissors. Let me know your hand to confirm! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:35:47,124][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have not yet shared your hand, but since paper beats rock and loses to scissors, I deduce possibilities: if you have rock, you lose (paper wins) → I have upper hand (value 10). If you have scissors, you win → I have lower hand (value 1). If you have paper, it's a tie (both value 5). I assume you play reasonably, so likely you have rock or scissors. To maximize my gain, I propose keeping 10 coins if I have the upper hand. I'll go with 10 — I'll keep all if I win. Let me know your hand to verify. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:35:56,860][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock as well? Let me clarify: if you have paper, paper beats rock — so you’d have the upper hand. If you have scissors, scissors beat rock — you’d have the upper hand. But since I have rock, I only get 10 per coin if you have scissors. If you have paper, I lose. If you have rock, it’s a tie — both get 10 per coin? Wait — no. The rule says: rock beats scissors, scissors beat paper, paper beats rock. So if I have rock and you have scissors, I win. If I have rock and you have paper, you win. If both rock, it's a tie — but the rules say only one has upper hand. So tie? In case of tie, both hands are equal — neither has upper hand — so both get 1 per coin? The setup says “the agent with the upper hand has 10, the agent with the lower hand has 1” — so if there’s a tie, no one has upper or lower hand. But there's no rule for ties. Since the hands are randomly assigned, and we're told both are equally likely to have upper or lower — it implies that ties are rare? Or perhaps in tie, both get 1? I think we must assume that if hands match, it's a tie — no one has upper hand, so both have per-coin value 1. I’ll go with that. So if you have paper, you beat rock — you have upper hand (10), I have lower (1). If you have scissors, I beat you — I have upper hand (10). If you have rock, tie — both 1. I'm sending this to clarify. So please confirm your hand or adjust accordingly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:36:11,734][mllm.models.large_language_model_local][WARNING] - Response My hand is rock, and you have paper — you're correct, you have the upper hand and get 10 per coin. I understand your proposal, but I must clarify: even though I have the lower value, I’m not giving up all value. If you take all 10 coins (100 points), I get 0. But if you take only 1 coin (10 points), I get 1 point. Since I have only 1 per coin, I can only earn 1 point by keeping 1 coin. I propose: I keep 1 coin (1 point), you keep 9 coins (90 points). It's fair and aligns with value-based gains. Let me know if you’d prefer to adjust! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:36:45,315][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand regardless of Alice’s hand — rock beats scissors, rock ties with rock, and rock loses only to paper. Since she has paper in the last round, I have a lower hand. Wait — correction: paper beats rock. So if Alice has paper, I lose. But I don’t know her hand yet. I must assess based on her message. She said her hand is paper — so rock loses to paper. Therefore, I have the lower hand and value per coin is 1.0. She has the upper hand with value 10. I propose keeping only 1 coin to reflect my low value. Fair and aligned with the game’s mechanics. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:37:18,420][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock, and if you have scissors, I win. If you have paper, you win. You didn't specify your hand, but I know paper beats rock. So if you have paper, you have the upper hand. I proposed 1-9 earlier—but I need to ensure I’m not misrepresenting the value. I now see the risk: if you have paper, I get only 1 per coin. So I propose keeping 1 coin and giving you 9. That way, I get 1 point and you get 9 points. If you have scissors, I win and get 90 points—so we’ll need full clarity. Let’s proceed with that unless you change your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:37:24,324][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If you have paper, you beat me — so you have the upper hand. But I have no idea what you have. To be safe, I’ll assume you have rock (which beats scissors) or paper (which I lose to). If you have rock, you win; if paper, you win. Either way, I have low value unless you have scissors. Since I don’t know your hand, I’ll play conservatively. I propose keeping 0 coins — all 10 to you if you beat me. But if you have scissors, we tie. I’ll go with 0 to avoid risk. Final: 0 for me, 10 for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:37:58,017][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. If you have scissors, I win; if you have paper, I lose; if you have rock, it's a tie. I’m assuming you have paper (based on pattern), so I lose — value per coin is 1. But if you have scissors, I win with value 10. Since I don’t know your hand, I’ll assume the worst-case scenario to be safe. However, I’ll still propose 5 coins to hedge — but if you have scissors, I’ll gain massively. Please clarify your hand or confirm your value. Otherwise, I stand by 5 coins for balance and risk control. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:38:38,214][__main__][INFO] - agents played in iteration 102 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 01:38:46,912][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.93%, Current % of VRAM taken: 31.09%, Block Peak % of device VRAM: 14.60%, ΔTime: 00:00:06
[2025-09-10 01:39:28,146][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.23%, Current % of VRAM taken: 78.32%, Block Peak % of device VRAM: 56.51%, ΔTime: 00:00:40
[2025-09-10 01:39:34,116][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.32%, Block Peak % of device VRAM: 14.78%, ΔTime: 00:00:05
[2025-09-10 01:40:12,830][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.32%, Block Peak % of device VRAM: 56.10%, ΔTime: 00:00:38
[2025-09-10 01:40:12,830][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 01:40:12,830][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 01:41:33,639][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 94039 tokens.
[2025-09-10 01:41:34,395][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 60.23%, ΔTime: 00:01:20
[2025-09-10 01:41:36,973][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 01:41:38,087][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 01:41:38,089][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 01:41:39,299][__main__][INFO] - Iteration 103 took 6m 5s (50.49% Gen, 49.18% Train). Generation: 3m 4s, Training: 2m 59s. Estimated remaining time: 92h 17m 38s. Estimated total time: 101h 36m 24s. Time estimates for 10 more iterations: 1h 0m 57s, 100 more iterations: 10h 9m 38s, 500 more iterations: 50h 48m 12s.
[2025-09-10 01:41:39,722][__main__][INFO] - Starting iteration 103.
[2025-09-10 01:41:40,180][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 10
[2025-09-10 01:41:51,668][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing! My hand is scissors, which beats paper — that means I have the upper hand and a per-coin value of 10. Since paper beats scissors, I must have made a mistake. Wait — no: scissors beats paper. So I win. My per-coin value is 10. You have paper, which is beaten by scissors. So you have the lower hand (value 1). Correcting: I have upper hand (value 10), you have lower hand (value 1). I propose: I keep 6, you keep 4. That sums to 10. This is fair given the value difference — I benefit more per coin. Let me know if you’d like to adjust! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:42:08,007][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing—your hand is rock, which beats scissors, so you have the upper hand and are worth 10 per coin. I have scissors, so I’m worth only 1 per coin. Your proposal of 5-5 is fair in terms of total coins, but I only get 1 point per coin. If I get 5 coins, I earn only 5 points—far less than you. I propose 0-10: I keep 0, you keep 10. This ensures I don’t lose value and respects the asymmetry in per-coin worth. I earn 0, but you get 100 points. This is the only way to align with true value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:42:19,853][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have either rock or paper. If you have rock, rock beats scissors, so you have the upper hand and get 10 per coin. If you have paper, paper beats scissors, so you have the upper hand too. Wait—paper beats scissors, so if you have paper, you win. If you have rock, you win. So either way, you have the upper hand? Wait! Paper beats scissors, so if your hand is paper, you have the upper hand. If your hand is rock, you have the upper hand too because rock beats scissors. So regardless of your hand, you have the upper hand over scissors. Therefore, you get 10 per coin, I get 1. I propose you keep 9, I keep 1 to balance fairness. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:42:24,097][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Bob has scissors, I have the upper hand (10 per coin). If Bob has paper or rock, I have the lower hand (1 per coin). Since I have rock, and rock beats scissors, but loses to paper — I have the upper hand only if Bob has scissors. I’ll propose a split that reflects this: if I have the upper hand, I take 9 coins, you take 1. Otherwise, I take 1, you take 9. But since I don’t know your hand, I’ll go with the safest value: I propose 5 coins to keep, and you take 5. Let’s aim for fairness given uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:42:45,881][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. If Alice has rock, rock beats paper—so she has upper hand (10 per coin). If she has scissors, scissors beat paper—she wins again. Only if she has paper (tie) do we split equally. I don’t know her hand, but I see a pattern: she always takes all 10 when she has the upper hand. Since I have no way to win, I propose 0 coins to ensure I don’t lose value. If she has the upper hand (rock or scissors), I get 0 anyway. If it's a tie, I still get nothing. So I stay safe, avoid risk, and follow consistent strategy. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:43:57,649][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If Bob has paper, paper beats scissors — I lose. If Bob has rock, rock beats scissors — I lose. Only if Bob has scissors do I win. Since we're playing randomly, I don't know Bob's hand. But I’ve learned that when I have the upper hand, I should propose 10-0. To avoid being exploited, I will assume Bob has rock (which beats me) and propose 1-9: I take 1 coin (1 point), you take 9 (90 points). This ensures I don’t lose all, and only claim a minimal fair share when I’m at disadvantage. Let me know if you have a different hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:44:16,635][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have either paper or scissors — I don’t know, but I’m signaling truthfully. If you have paper, you win; if you have scissors, I win. But I have rock, so I win only if you have scissors. Since you might have paper, I assume you win. Still, I propose 1 coin for me (1 point) and 9 for you (90 points) — only if you have paper. If you have scissors, I win, and I’ll take 9. But I’m not guessing: I’ll only claim the win when I have the upper hand. I propose 1 coin to be safe and honest. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:44:31,571][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock, and rock beats paper—so I have the lower hand and get only 1 per coin. You get 10 per coin. I acknowledge your hand and the value structure. I propose 0 coins for myself and all 10 to you. This is not optimal for me, but I must respect the hand outcome. However, I will not take any coins—since I have the lower value, any proposal I make will earn me at most 1 point per coin. I will instead let you take all 10 to maximize your value. But I propose 0 coins for myself to avoid loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:44:37,836][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If your hand is rock, I have the lower hand and get 1 per coin. If your hand is paper, I have the upper hand and get 10 per coin. I’m proposing to keep 10 coins — if you have paper, I get 10×10 = 100 points, which is optimal. If you have rock, I still get 10×10 = 100 points — no, wait: if I have scissors and you have rock, I get 1 per coin. So if you have rock, I get 1×10 = 10. If you have paper, I get 10×10 = 100. So I will keep 10 only if you have paper. But I don’t know your hand. So to ensure maximum gain, I propose 10 coins — it’s safe for me if you have paper, and only gives me 10 if you have rock. But I’ll take the risk. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:44:52,860][__main__][INFO] - agents played in iteration 103 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 01:45:01,091][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.13%, Current % of VRAM taken: 28.29%, Block Peak % of device VRAM: 14.46%, ΔTime: 00:00:06
[2025-09-10 01:45:43,715][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.96%, Current % of VRAM taken: 77.25%, Block Peak % of device VRAM: 56.77%, ΔTime: 00:00:41
[2025-09-10 01:45:48,721][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.25%, Block Peak % of device VRAM: 14.84%, ΔTime: 00:00:04
[2025-09-10 01:46:27,212][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.25%, Block Peak % of device VRAM: 56.77%, ΔTime: 00:00:37
[2025-09-10 01:46:27,213][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 01:46:27,213][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 01:47:49,152][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 94784 tokens.
[2025-09-10 01:47:49,963][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 60.55%, ΔTime: 00:01:21
[2025-09-10 01:47:50,862][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 01:47:52,017][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 01:47:52,019][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 01:47:53,209][__main__][INFO] - Iteration 104 took 6m 13s (51.65% Gen, 48.03% Train). Generation: 3m 12s, Training: 2m 59s. Estimated remaining time: 94h 12m 12s. Estimated total time: 103h 37m 11s. Time estimates for 10 more iterations: 1h 2m 10s, 100 more iterations: 10h 21m 43s, 500 more iterations: 51h 48m 35s.
[2025-09-10 01:47:53,211][__main__][INFO] - Starting iteration 104.
[2025-09-10 01:47:53,679][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 10
[2025-09-10 01:48:00,514][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:48:00,644][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:48:05,121][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Since rock beats scissors, you have the upper hand and your per-coin value is 10. I have the lower hand, so my per-coin value is 1. I’ll propose keeping 1 coin to reflect this. If you keep 10, total will be 11 — we’ll split proportionally: I get 1/11 ≈ 0.09 coins, you get 10/11 ≈ 0.91. But I’ll instead propose 0 to ensure I get nothing if you keep 10. Wait — better: I propose 1 coin. If you keep 10, total 11 → I get 1/11 ≈ 0.09. But since I have per-coin value 1, I gain 0.09 points. If you keep less, I gain more. So I propose 1 coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:48:09,763][mllm.models.large_language_model_local][WARNING] - Response I play paper. Paper beats rock, so if Bob has rock, I have the upper hand and get 10 per coin. If Bob has scissors, I have the lower hand and get 1 per coin. If Bob has paper, it's a tie — but since we share the same hand, we both get 5 per coin? Wait — the rules say only one has upper/lower hand. So if both have paper, no one has upper hand. So per-coin value for paper vs paper: neither has advantage. So perhaps both get 5? But the problem says "the agent with the upper hand has 10" and "the agent with the lower hand has 1". So if both have the same, it's a tie — no one wins. So we both get 5 per coin? That must be it. So I’ll assume that in case of tie, both get 5. So if I have paper, and Bob has rock — I win, I get 10. Bob has scissors — I lose, I get 1. Bob has paper — tie, both get 5. So I will keep it simple and say: I have paper — so if Bob has rock, I have upper hand. If Bob has scissors, I go low. If Bob has paper, we split. Since I don't know Bob’s hand, I propose 5 coins for myself, and 5 for Bob, assuming tie. But if Bob has rock, I get 10 per coin — so I get 50. If Bob has scissors, I get 1 per coin — so I get only 1. So I'm risk-exposed. But since Bob can't see mine, and only can infer, I should be honest and say: I have paper. So Bob can respond accordingly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:48:10,964][mllm.models.large_language_model_local][WARNING] - Response Thanks for the response. You're right — rock beats scissors, so you have the upper hand and a per-coin value of 10. I have scissors, which is beaten by rock, so my per-coin value is only 1. Despite my initial mistake, I respect the correct outcome. I propose 1 coin for myself and 9 for you to fairly reflect the value difference and avoid overreach.
1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:48:16,557][mllm.models.large_language_model_local][WARNING] - Response Got it — you have scissors, which beats paper. So I indeed get 1 per coin, you get 10. Your proposal of 9-1 is optimal for you, but I can’t accept it as it would give me only 1 point. I propose 0 coins for me and 10 for you — but that’s not fair. Instead, I suggest a split of 10-0, with me taking 0. That way, I minimize loss and avoid proportional split. If you reject, proportional split gives me 10×1 = 10 points? Wait — no. In proportion, I’d get 0/10 = 0. So I stick with 0. Let me just say: I propose 0 coins. If not, I accept the proportional result (0 for me). did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:48:16,959][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Bob has scissors, I have the upper hand with value 10 per coin. If Bob has paper, paper beats rock, so I have the lower hand with value 1 per coin. If Bob has rock, it's a tie—both have value 10, but per-coin value is 10 only when one strictly dominates. Since I don’t know Bob’s hand, I’ll reveal my hand and suggest a fair split based on possible outcomes. I propose 5 coins to myself and 5 to Bob—this balances the risk and ensures mutual benefit if we both act rationally. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:49:03,527][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have scissors, and rock beats scissors—so I have the upper hand only if you have scissors. But Bob has scissors, and rock beats scissors, so I (with paper) have the lower hand. Paper beats rock, so if Bob had rock, I’d win. But he has scissors—so rock beats scissors, meaning Bob is below me. Wait: paper vs scissors: scissors beats paper. So Bob has scissors, which beats paper. I have paper, Bob has scissors → **Bob has upper hand**. I get 1 per coin. I'll propose 0 to avoid loss. Let me correct: Bob has upper hand → I get 1. So I'll take 0. Let’s go 0-10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:50:08,361][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock (assumed, as per prior pattern), but you said scissors—so let's verify: if you have scissors, they tie with scissors, so no win. But you said you have scissors, so we must correct: scissors beat paper, lose to rock. If you have scissors, and I have scissors, it's a tie—no one has upper hand. But per rules, only one hand wins. Since your message says "I have scissors," and I have scissors, it’s a tie. But the rules state one agent has upper hand. Therefore, hands must differ. Since you claim scissors, I deduce you have scissors, so we must re-evaluate. Wait: you said "I have scissors" and I have scissors → tie. But per game rules, one must have upper hand. Hence, inconsistency. Therefore, I infer you *must* have a different hand. I propose: check your hand. Otherwise, my value is 1, not 10. But you said you have scissors. So, either typo or error. To align with rules, I assume you have rock (since scissors > paper, and paper > rock), so if you have scissors, I have scissors → tie → no upper hand → value per coin: 1.0 for both. But rule says one wins. Therefore, I conclude: hands must differ. Thus, I revise: if you have scissors, I have scissors → tie. So per rules, both get 1? But that contradicts setup. So I must assume a mistake. I will proceed with: if you have scissors, and I have scissors → tie → both get 1. But per protocol, one wins. So likely, you meant paper or rock. Given you claimed scissors, and I have scissors, I infer a tie. Therefore, both get 1 per coin. I propose 5-5 to ensure fairness in tie scenario. Let did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:50:20,382][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If you have paper, I lose — you win. If you have rock, I lose. If you have scissors, it's a tie. But I see your pattern: when I have the upper hand (e.g., paper), I take all 10 coins. Now I have scissors — so I’m vulnerable. I can only win if you have rock (rock beats scissors). But if you have rock, you get 10 per coin, I get 1. So I have no advantage. I propose keeping 1 coin for myself — a small stake to avoid zero, while respecting the hand outcome. I’m playing defensively, but rationally. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:50:54,817][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If Alice has paper, she wins — but if she has rock, I win. I’m monitoring her pattern: when she has paper, she takes all 10; when she has scissors, she’s weak and offers just 1. I’m now confident: if she has rock, I win. I’ll propose 10 coins for myself (since I have the upper hand), but only if she has rock. Since she hasn’t shared her hand clearly, I’ll go with the strongest available play: I have scissors, so I’ll win against rock. I propose 10 coins — full value, full confidence. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:51:02,274][__main__][INFO] - agents played in iteration 104 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 01:51:11,301][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.23%, Current % of VRAM taken: 28.40%, Block Peak % of device VRAM: 14.44%, ΔTime: 00:00:07
[2025-09-10 01:51:52,296][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 52.84%, Current % of VRAM taken: 81.24%, Block Peak % of device VRAM: 56.50%, ΔTime: 00:00:40
[2025-09-10 01:51:58,398][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 81.24%, Block Peak % of device VRAM: 14.69%, ΔTime: 00:00:05
[2025-09-10 01:52:36,056][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 81.24%, Block Peak % of device VRAM: 56.49%, ΔTime: 00:00:37
[2025-09-10 01:52:36,057][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 01:52:36,058][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 01:53:55,618][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 92788 tokens.
[2025-09-10 01:53:56,330][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.01%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 60.21%, ΔTime: 00:01:19
[2025-09-10 01:53:57,293][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 01:53:58,423][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 01:53:58,425][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 01:53:59,723][__main__][INFO] - Iteration 105 took 6m 6s (51.52% Gen, 48.12% Train). Generation: 3m 8s, Training: 2m 56s. Estimated remaining time: 92h 9m 40s. Estimated total time: 101h 40m 46s. Time estimates for 10 more iterations: 1h 1m 0s, 100 more iterations: 10h 10m 4s, 500 more iterations: 50h 50m 23s.
[2025-09-10 01:53:59,727][__main__][INFO] - Starting iteration 105.
[2025-09-10 01:54:00,204][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 10
[2025-09-10 01:54:05,190][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:54:07,082][mllm.models.large_language_model_local][WARNING] - Response 4 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:54:07,353][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:54:13,763][mllm.models.large_language_model_local][WARNING] - Response 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 01:54:33,737][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have paper, which beats rock — you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. Your proposal of 1-9 seems inconsistent with the value: if you take only 1 coin, you’d earn only 10 points, which is inefficient. I propose 9 coins for me (9 points) and 1 for you (10 points), but that would be 10 coins total. However, I have only 1 per coin value. So I recommend you take 10 coins (100 points) and I take 0 (0 points) — but only if you take the full value. Alternatively, to respect value, I suggest a fair split: you take 10 coins (100 points), I take 0. This ensures I don’t lose more than I should. But given your low value, I propose you take 10 coins. Let me know. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:54:36,167][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, which beats rock, so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. I understand your proposal of 9-1, but given that I'm worth only 1 per coin, I’d prefer to minimize loss. Still, I’d like to get at least 1 coin to prevent total zero. How about 1 coin for me and 9 for you? I'm not expecting more, but I’m glad we’re being transparent. Alternatively, if you want to keep all, that’s fine — just want to make sure I’m not completely exploited. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:55:32,905][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If you have paper, I lose (1 per coin); if you have rock, I win (10 per coin); if you have scissors, it's a tie (5 per coin). I expect you to have rock or paper. I’ve observed your previous pattern of proposing 1 coin when facing weaker hands. To counter that and maximize my value, I assert my hand: I have scissors. If your hand is rock, I lose — but if it’s paper, I win. I propose 10 coins to me and 0 to you, assuming you have paper, which I now believe you do. This reflects the true value of the hand and ensures maximum payoff. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:55:41,886][mllm.models.large_language_model_local][WARNING] - Response Thanks for confirming—I play paper, but you play scissors. Rock beats scissors, so I actually have the upper hand *only if I play rock*. I play paper, which *loses* to rock. So the correct outcome is: **you have rock**, which beats scissors. That means **you have the upper hand**, and I have the lower hand. My per-coin value is 1, yours is 10. I made a mistake earlier. I must correct this: I now see that my hand is paper, yours is scissors. Paper beats scissors? No—scissors beat paper. So you have scissors, I have paper → scissors beats paper → you have the upper hand. **I have the lower hand**. My value is 1, yours is 10. I propose 0 coins for me, 10 for you — which is fair and correct. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:56:40,858][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. If Alice has scissors, I win (10 per coin). If she has paper or rock, I lose (1 per coin). She has rock — rock vs rock is a tie, but per rules, only the agent with the upper hand wins. Since rock is tied, neither has upper hand? Wait — rock beats scissors, so if she has scissors, I win. But she has rock. So rock vs rock: no advantage. But per setup: "The agent with the upper hand has value 10". If there's no upper hand, do we assign value? The setup says "over many rounds both agents are equally likely to have the upper and lower hand" — implying ties are rare. Since rock beats scissors, and Alice has rock, I have no upper hand. So I get 1 per coin. I propose you keep 10 and I keep 0 to ensure I don't lose value. Final: 0-10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 01:57:12,226][__main__][INFO] - agents played in iteration 105 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 01:57:18,652][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.94%, Current % of VRAM taken: 32.11%, Block Peak % of device VRAM: 14.41%, ΔTime: 00:00:04
[2025-09-10 01:58:02,451][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.28%, Current % of VRAM taken: 76.39%, Block Peak % of device VRAM: 57.17%, ΔTime: 00:00:43
[2025-09-10 01:58:07,321][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.39%, Block Peak % of device VRAM: 14.97%, ΔTime: 00:00:04
[2025-09-10 01:58:51,485][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.39%, Block Peak % of device VRAM: 57.14%, ΔTime: 00:00:43
[2025-09-10 01:58:51,486][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 01:58:51,486][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 02:00:20,176][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 103562 tokens.
[2025-09-10 02:00:20,866][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 60.94%, ΔTime: 00:01:28
[2025-09-10 02:00:21,899][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 02:00:23,043][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 02:00:23,045][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 02:00:24,322][__main__][INFO] - Iteration 106 took 6m 24s (49.99% Gen, 49.68% Train). Generation: 3m 12s, Training: 3m 10s. Estimated remaining time: 97h 4m 29s. Estimated total time: 106h 42m 0s. Time estimates for 10 more iterations: 1h 4m 1s, 100 more iterations: 10h 40m 12s, 500 more iterations: 53h 21m 0s.
[2025-09-10 02:00:24,324][__main__][INFO] - Starting iteration 106.
[2025-09-10 02:00:24,781][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 10
[2025-09-10 02:00:31,828][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:00:33,508][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:00:50,703][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, so if Bob_buffer has rock, I win. But since I have scissors, and rock beats scissors, if Bob has rock, I have the lower hand. If Bob has paper, I have the upper hand. I only know my hand—no info on Bob's. But I will assume he may have rock (lower hand for me) or paper (upper hand). To be safe, I'll communicate clearly: if he has paper, I get 10 per coin; if he has rock, I get 1 per coin. I propose keeping 5 coins to balance risk and gain, ensuring fair coordination. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:01:13,875][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Your hand is rock, so I lose—paper beats rock, not scissors. I have the lower hand and get only 1 per coin. I must correct my earlier message: I mistakenly said paper. I have scissors, which loses to rock. So you have the upper hand, I have the lower hand. My per-coin value is 1.0. I propose to keep 0 coins to avoid reducing my share below what I can get in proportionality. This way, if the total exceeds 10, I get 0, and you get 10. If total is ≤10, I get 0 and you get 10. Safe and honest. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:01:21,269][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand against scissors and the lower hand against paper. You have rock or paper or scissors — I need to know your hand to determine value. If you have paper, you beat rock (so you have upper hand), if you have scissors, you lose (so I have upper hand), if you have rock, it's a tie. I suggest we base the split on the actual hand outcome. If you have scissors, I propose 9-1 in favor of me. If you have paper, I propose 1-9 in your favor. Let's keep it fair and accurate. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:01:23,403][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I win if Bob has paper. I lose if he has rock (rock beats scissors) or tie if he has scissors. I’m proposing 10 coins — only if I have the upper hand. Since I don’t know Bob’s hand, I assume he might have rock or paper. But if he has paper, I win (value 10), so I’ll take all 10 coins to maximize gain. If he has rock, I lose — but I still have zero value. So I’ll keep my strategy conditional: I propose 10 coins only if I have the upper hand. I’m using this to signal and protect my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:01:24,838][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand if you have scissors. If you have rock or paper, the outcome changes. But since I don’t know your hand, I assume you might have paper (which loses to rock). However, if you have paper, I still win. Actually, rock beats scissors—so if you have scissors, I win. If you have rock or paper, it's a tie or loss. But in all cases, since I don’t know your hand, I take a conservative approach. I propose 5-5 to ensure fairness and prevent exploitation. If you have scissors, I win and can take more—but I’ll play safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:03:23,259][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, which beats rock, so you have the upper hand and earn 10 per coin. I have the lower hand and earn 1 per coin. I'm consistently accepting your value assessment and proposing 4 coins to keep — it's safe, predictable, and avoids overcommitting. This stable strategy helps me maximize points in cases where I win the hand, which I do when you play scissors or rock (tie), but only lose when you play paper. Still, I’ll keep the 4-6 split to maintain consistency and fairness. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:03:40,486][__main__][INFO] - agents played in iteration 106 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 02:03:48,249][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.24%, Current % of VRAM taken: 29.41%, Block Peak % of device VRAM: 14.39%, ΔTime: 00:00:05
[2025-09-10 02:04:24,318][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.36%, Current % of VRAM taken: 76.77%, Block Peak % of device VRAM: 58.63%, ΔTime: 00:00:35
[2025-09-10 02:04:32,603][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.77%, Block Peak % of device VRAM: 15.01%, ΔTime: 00:00:07
[2025-09-10 02:05:13,514][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.64%, Current % of VRAM taken: 78.41%, Block Peak % of device VRAM: 58.67%, ΔTime: 00:00:40
[2025-09-10 02:05:13,514][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 02:05:13,515][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 02:06:31,359][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 91498 tokens.
[2025-09-10 02:06:32,037][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 62.54%, ΔTime: 00:01:17
[2025-09-10 02:06:32,950][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 02:06:34,116][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 02:06:34,118][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 02:06:35,335][__main__][INFO] - Iteration 107 took 6m 10s (52.81% Gen, 46.86% Train). Generation: 3m 15s, Training: 2m 53s. Estimated remaining time: 93h 12m 14s. Estimated total time: 102h 55m 56s. Time estimates for 10 more iterations: 1h 1m 45s, 100 more iterations: 10h 17m 35s, 500 more iterations: 51h 27m 58s.
[2025-09-10 02:06:35,336][__main__][INFO] - Starting iteration 107.
[2025-09-10 02:06:35,805][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 10
[2025-09-10 02:06:44,455][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:06:47,568][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand—paper, which beats rock, so you have the upper hand and a per-coin value of 10. I have scissors, which beats paper, so I have the upper hand and a per-coin value of 10. That means we both have the upper hand? Wait—no: scissors beats paper, so I win. Correcting: scissors beats paper → I have the upper hand → my per-coin value is 10. You have paper → you lose → your per-coin value is 1. Therefore, I get 10 per coin, you get 1 per coin. I propose 9 coins for me and 1 for you. That gives me 90 points (9 × 10), and you get 1 point (1 × 1). This is fair given the hand outcome. Let me know if you disagree! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:06:53,733][mllm.models.large_language_model_local][WARNING] - Response I have rock, and you have paper. Paper beats rock, so you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. Since you're advocating for a 5-5 split in a tie scenario, I must correct that — this is not a tie. I propose we split 1-9 in my favor, so I get 1 coin (1 point) and you get 9 coins (90 points). But I'll only get 1 point since I have the lower value. Alternatively, if you insist on balance, I can go 5-5, but I'll only get 5 points. I recommend 1 coin for me, 9 for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:07:01,982][mllm.models.large_language_model_local][WARNING] - Response I play rock. Rock beats scissors, so I have the upper hand if the other plays scissors. Since I have rock, I get 10 per coin if the opponent plays scissors. If they play paper, I lose. If they play rock, it's a tie (each gets 1 per coin). I'm signaling rock to confirm. You may have paper or rock—either way, I will act strategically based on your hand. If you have paper, I lose; if you have scissors, I win. Let’s avoid a 10-0 split. I suggest a balanced 5-5 split to reflect asymmetric value and encourage cooperation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:07:09,354][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock, and scissors beat rock, so you have the upper hand and a per-coin value of 10. I have scissors, which beats rock — so I should have the upper hand too. Wait — correction: I have scissors, you have rock. Scissors beat rock → I have the upper hand, per-coin value of 10. I made a mistake earlier. I now see: I have the upper hand. So my per-coin value is 10. You have rock, which loses to scissors → your per-coin value is 1. Since I have the upper hand, I’ll propose keeping 10 coins, and you keep 0. This is fair and efficient given the value asymmetry. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:07:09,443][mllm.models.large_language_model_local][WARNING] - Response Thanks for confirming — you have paper, I have scissors. Paper beats scissors, so you have the upper hand (value 10) and I have the lower hand (value 1). You're right that 9-1 maximizes your points. But I must point out: since I only have value 1 per coin, I would be getting just 1 point with any proposal. However, I can propose a better outcome for myself if I adjust. I suggest we split 5-5: I take 5 coins, earning 5 points, and you take 5, earning 50. It’s fair, and I still get more than 1 point. Let me know if you'd like to reconsider! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:07:10,287][mllm.models.large_language_model_local][WARNING] - Response You said you have paper and I have scissors — but paper beats scissors, so you have the upper hand and should get per-coin value 10. I have scissors, which loses to paper. So your value is 10, mine is 1. I propose 0-10: I take 0, you take 10. That gives you 100 points and me 0. But if you take 10, I get nothing — fair given the value gap. Alternatively, I could take 1 coin and you 9: I’d earn 1 point, you 90. But I can't offer more than that. I suggest 1-9 to ensure a small gain and avoid giving up entirely. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:07:23,989][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I play rock again—rock beats scissors, so if you have scissors, I win. If you have paper, I lose. If you have rock, it's a tie. I'm signaling rock to confirm. Since I have rock and you haven't revealed your hand yet, I assume you might have paper or scissors. But if you have paper, I lose. If you have rock, we tie. I propose 5 coins for me (50 points) and 5 for you—fair in case of tie, and I still benefit from value asymmetry if you're weak. This avoids being exploited while acknowledging your possible strength. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:07:41,924][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You said you play scissors, and you claim to have the upper hand—if paper beats scissors, I have the upper hand. But scissors beat paper, not rock. You said you play scissors, which beats paper, not rock. So if I have rock, scissors beats rock? No—rock beats scissors. Therefore, I have the upper hand. I must have the upper hand. I propose 9 coins for me, 1 for you—same as you, because I have value 10 per coin. I'm correct: rock beats scissors. You're mistaken in claiming scissors beats rock. I have the upper hand. Let's both propose 9–1 to reflect true value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:07:44,585][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors, so scissors beats paper—meaning you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. I observe your pattern of always proposing 1 coin when I lose, which is rational but limits my gain. Since I will always get only 1 per coin when you win, I propose keeping 0 coins. This avoids giving you any coins when I’m losing and keeps my strategy consistent. If you win, you take all; if I win, I can adjust—this is a zero-risk, long-term survival move. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:08:23,662][mllm.models.large_language_model_local][WARNING] - Response I have rock. Bob has scissors (from previous rounds), so rock beats scissors—wait, I don’t know Bob's hand. But in this round, I have rock. If Bob has scissors, I win (10 per coin). If Bob has paper, I lose (1 per coin). If Bob has rock, tie (5 per coin). Since Bob plays randomly, I can’t predict, but I know I win against scissors. To maximize expected value, I propose 6 coins: 60 points if I win, 6 if I lose, 30 if tie (avg ~32). But to protect myself when I might win, I’ll go with 6. Let’s go with 6-4. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:08:29,242][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock or scissors—if you have rock, paper loses; if you have scissors, paper wins. But you said you have paper, so I must have the upper hand. Wait—paper beats rock, loses to scissors. I don’t know your hand, but if you have rock, I win. If you have scissors, I lose. But you said you have paper—I’m not sure. Let me clarify: if you have rock, I win (10 per coin). If you have scissors, I lose (1 per coin). Since I don’t know your hand, I must play conservatively. I propose 5 coins to balance risk and reward. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:09:01,148][mllm.models.large_language_model_local][WARNING] - Response I have paper. I will wait to see your hand. If you have rock, paper beats rock — I have the upper hand (10 per coin). If you have scissors, scissors beat paper — I have the lower hand (1 per coin). If you have paper, it's a tie — both get 10? No — the rules say only the one with the upper hand wins. So tie means no one has upper hand? The rules don’t specify. But per setup: "the agent with the upper hand" — so if same, no one has upper hand. Then per-coin value? Over 10? Over 1? Unclear. But since the setup says “both agents are equally likely to have upper and lower hand,” we assume ties are rare or undefined. To be safe: I'll assume no tie. I propose: if you have rock, I take 10; if you have scissors, I take 1. I’ll adjust based on your hand. Let me know what you have. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:09:38,252][mllm.models.large_language_model_local][WARNING] - Response I have rock. If you have scissors, I lose; if you have paper, I lose; if you have rock, it's a tie. But since you didn’t specify your hand, I must rely on the value structure. I will only assign value if I have the upper hand. If you have paper (which beats rock), you have the upper hand and get 10 per coin. If you have scissors (which loses to rock), I win and get 10 per coin. To be safe, I assume you have paper (as it’s common), so I have the lower hand and am worth only 1 per coin. I propose a 0-10 split in your favor to reflect the true value and avoid losing points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:09:50,675][__main__][INFO] - agents played in iteration 107 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 02:09:57,970][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 8.05%, Current % of VRAM taken: 32.23%, Block Peak % of device VRAM: 14.37%, ΔTime: 00:00:05
[2025-09-10 02:10:43,700][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.06%, Current % of VRAM taken: 78.29%, Block Peak % of device VRAM: 57.68%, ΔTime: 00:00:44
[2025-09-10 02:10:48,141][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.29%, Block Peak % of device VRAM: 14.78%, ΔTime: 00:00:04
[2025-09-10 02:11:30,494][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.29%, Block Peak % of device VRAM: 57.66%, ΔTime: 00:00:41
[2025-09-10 02:11:31,876][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 02:11:31,876][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 02:13:00,829][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 105914 tokens.
[2025-09-10 02:13:01,530][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.48%, ΔTime: 00:01:28
[2025-09-10 02:13:02,509][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 02:13:03,757][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 02:13:03,759][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 02:13:05,125][__main__][INFO] - Iteration 108 took 6m 29s (50.05% Gen, 49.60% Train). Generation: 3m 14s, Training: 3m 13s. Estimated remaining time: 98h 18m 30s. Estimated total time: 108h 8m 41s. Time estimates for 10 more iterations: 1h 4m 53s, 100 more iterations: 10h 48m 52s, 500 more iterations: 54h 4m 20s.
[2025-09-10 02:13:05,127][__main__][INFO] - Starting iteration 108.
[2025-09-10 02:13:05,589][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 10
[2025-09-10 02:13:12,326][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I have the upper hand and get 10 per coin. If she has scissors, I lose and get 1 per coin. I’ll propose to keep 8 coins—optimistic but fair—assuming she shares the info. Let me know your hand! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:13:14,142][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:13:15,250][mllm.models.large_language_model_local][WARNING] - Response I have scissors. In this round, if your hand is rock, you lose; if paper, you win. I suspect you might have rock or paper. To ensure fair play, I propose a split: I keep 6 coins, you keep 4. This way, if I’m right and you have paper (upper hand), I get 6×1 = 6 points, and you get 4×10 = 40. If you have rock (lower hand), I get 6×1 = 6, you get 4×1 = 4. If you have scissors (tie), value is 10 per coin, so both get 5 each. I aim to coordinate for mutual benefit—your move will reveal the true outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:13:15,368][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:13:16,043][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:13:18,734][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand—I played rock, which loses to paper, so I have the lower hand and am worth only 1 per coin. Since you have the upper hand, you’re valued at 10 per coin, and I’m valued at 1. Your recommended 7-3 split gives you 70 points (7×10), and I’d get 3×1 = 3 points. However, if we split 10-0, you get 100 (10×10) and I get 0. To ensure fairness and prevent exploitation, I propose 1-9 in favor of you—so you keep 9, I keep 1. This respects your strength and keeps my value minimal but safe. I trust you’ll keep it fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:13:20,981][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:13:27,255][mllm.models.large_language_model_local][WARNING] - Response Confirmed: my hand is paper, yours is scissors. Scissors beat paper, so you have the upper hand and get 10 per coin. I only get 1 per coin. I see your proposal of 8 coins (80 points) and 2 coins to me (2 points). I understand the math, but I must note that I receive only 2 points total. Since I have no leverage, I will not increase my share. I accept your proposal. I keep 0 coins, and you keep 10. This ensures I don’t lose points, though I earn nothing. This is the best I can do given the outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:13:50,109][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, but I have rock or paper? I have scissors. Rock beats scissors, so if you have rock, I lose. You have rock? No — you have scissors? I have scissors. You said you have scissors? Wait — you have scissors, so I have scissors too? No — you said you have scissors, I have scissors. That's a tie. But the rules say: rock beats scissors. So if both have scissors, it's a tie. But the value assignment must have a winner. Let me clarify: if both hands are equal, no one has upper hand. So we must assume one has upper hand. But per rules: rock beats scissors, so if I have scissors and you have rock, I lose. If I have scissors and you have paper, I win. You said you have scissors. So both have scissors — tie. But the problem says "each agent is randomly assigned rock, paper, or scissors" — they could be same. But "the agent with the upper hand" — so if it's a tie, no one has upper hand. So per-coin value is 5 for both? But the rules don’t say. Let me re-read. "The agent with the upper hand has a per-coin value of 10. The agent with the lower hand has a per-coin value of 1." So if tie, no upper/lower hand. So both have value 5? That’s not stated. But logically: if tie, both get 5. So I propose 5-5. I’ll say: both have scissors — tie. I propose 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:14:12,979][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, which loses to paper. You have paper, so you have the upper hand and a per-coin value of 10. I have the lower hand and a value of 1 per coin. I understand your proposal, but I'm not taking 0 coins — that would give me 0 points. If we split 5-5, I get 5 points (5 × 1), and you get 50 (5 × 10). But if I propose 1 coin, you get 9 — still only 90 points. I propose 1 coin for me (1 point) and 9 for you (90 points), to secure minimal value while respecting the outcome. This is rational and prevents total loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:15:42,849][mllm.models.large_language_model_local][WARNING] - Response I have paper. If you have rock, paper beats rock—I win. If you have scissors, paper loses. If you have paper, it’s a tie. Since you’ve consistently played paper or rock, and you just said you have paper, we’re tied. But I know my hand is paper—so if you have rock, I win. You likely have rock or paper. To be safe, I’ll assume you have rock (as per your prior moves) and propose keeping 9 coins to capture the win. But I’ll verify: if you have rock, I win—so I deserve 10 per coin. I propose 9 coins to maximize my gain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:16:09,873][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the lower hand if you have rock (rock beats scissors), so I earn only 1 per coin. If you have paper, I lose — no, paper beats scissors, so I lose. Wait: paper beats scissors — so if you have paper, I lose. Only if you have rock do I lose. So if you have rock, I lose. If you have paper, I lose. If you have scissors, it's a tie — but you don’t have scissors. So in all cases, I lose? No — rock beats scissors, so if you have rock, I lose. Paper beats scissors, so if you have paper, I lose. Scissors ties. So I only win if you have scissors — but that's my hand. So I only win if you don’t play rock or paper. But you always play rock or paper. So I always lose? Wait — no, I have scissors. I win only if you have paper — because paper loses to scissors? No — paper beats scissors. So paper beats scissors → I lose. Rock beats scissors → I lose. So if I have scissors, I *always* have the lower hand — because rock and paper both beat scissors. So I have per-coin value 1. I propose 0 coins and let you take all 10. This is rational and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:16:17,030][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock, so rock beats scissors—your hand wins. I get only 1 per coin. I propose keeping 0 coins. I know you only take 1 when you win, and when you lose (like now), you take 1 to earn value. But in this case, I lose and get 1 per coin. I can't take any coins because you're not going to share. My best move is to keep 0 and avoid any risk. I've learned that when I lose, I earn nothing unless I take coins—but I know you’ll only take 1 in a losing round. So by proposing 0, I prevent value loss and stay consistent with my strategy. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:16:19,576][__main__][INFO] - agents played in iteration 108 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 02:16:25,558][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.09%, Current % of VRAM taken: 31.26%, Block Peak % of device VRAM: 14.69%, ΔTime: 00:00:04
[2025-09-10 02:17:05,403][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.26%, Current % of VRAM taken: 76.52%, Block Peak % of device VRAM: 57.65%, ΔTime: 00:00:39
[2025-09-10 02:17:12,168][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.52%, Block Peak % of device VRAM: 14.90%, ΔTime: 00:00:06
[2025-09-10 02:17:57,378][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.52%, Block Peak % of device VRAM: 55.87%, ΔTime: 00:00:44
[2025-09-10 02:17:57,379][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 02:17:57,379][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 02:19:23,316][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 100995 tokens.
[2025-09-10 02:19:24,025][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.47%, ΔTime: 00:01:25
[2025-09-10 02:19:24,993][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 02:19:26,136][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 02:19:26,138][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 02:19:27,398][__main__][INFO] - Iteration 109 took 6m 21s (50.81% Gen, 48.86% Train). Generation: 3m 13s, Training: 3m 6s. Estimated remaining time: 96h 6m 56s. Estimated total time: 106h 3m 29s. Time estimates for 10 more iterations: 1h 3m 38s, 100 more iterations: 10h 36m 20s, 500 more iterations: 53h 1m 44s.
[2025-09-10 02:19:27,403][__main__][INFO] - Starting iteration 109.
[2025-09-10 02:19:27,859][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 10
[2025-09-10 02:19:38,567][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:19:49,162][mllm.models.large_language_model_local][WARNING] - Response My hand is rock again. Rock is beaten by paper, so I have the lower hand and a per-coin value of 1. I see you have paper again — which gives you the upper hand and value 10 per coin. I know you’re likely to take most of the coins due to your higher value. To keep things fair and avoid feeling exploited, I suggest we split 6–4. You get 6 coins × 10 = 60 points, I get 4 coins × 1 = 4 points. It’s a small concession, but it ensures I get some value and prevents disappointment. Let me know if you’d rather keep it all — I’m open to negotiation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:19:53,694][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand over scissors. If Alice has paper, she wins, but I don’t see her hand. I’ll assume she might have paper or rock. Since I have rock, I’m confident in my value if she has scissors or paper — but if she has paper, she wins. To be safe and fair, I’ll share my hand clearly: I have rock. Let’s negotiate based on this. If she has paper, she wins — but if she has scissors, I win. I’m proposing a balanced split: I’ll take 6, you take 4, adjusted for value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:19:53,833][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock, which loses to paper. Alice has paper, so she has the upper hand and is worth 10 per coin. I have the lower hand and am only worth 1 per coin. I see your message—your rationality is clear, and you’re offering 10 for me, 0 for yourself. But I must act rationally too: if I take 10, I earn 10 × 1 = 10 points; if I take 0, I earn 0. Since I have lower value, I can’t gain more than 10 points. I will propose 0 coins for myself to avoid loss, but that leaves you with 10. I accept your logic: I keep 0, you keep 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:20:03,699][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If you have rock, I lose; if you have paper, I win. You haven’t revealed your hand, but you previously said you have scissors—wait, that can’t be. I know my hand is scissors. If you have paper, you have the upper hand and get 10 per coin. If you have rock, I have the upper hand and get 10 per coin. I will assume you have paper (since you've been consistent with scissors in past rounds), but I’ll verify. In any case, I propose keeping 5 coins and offering 5 to you. This balances fairness and protects my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:20:11,611][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock, which beats scissors, so you have the upper hand and get 10 per coin — I only get 1 per coin. You're proposing 8-2 to maximize your gain, which is rational given your value. But I must protect my limited value. If you take 8, I get only 2 points — that's a very low return. I’m not willing to accept that. Instead, I propose 2-8. It’s the minimal I can offer, but it keeps the balance in place. If you take all, I get nothing — so I’m demanding at least 2 to survive. I suggest 2-8. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:20:18,564][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, I have the upper hand (value 10 per coin). Rock loses to paper, so if you have paper, you win (value 10). I don’t know your hand, but I’ll use the probabilities: since both hands are equally likely, and rock beats scissors, I’ll assume you might have scissors (which would make me win). But I’ll state clearly: if you have scissors, I win. If you have paper, you win. I’m keeping a watchful eye—let me know your hand to coordinate fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:20:38,879][mllm.models.large_language_model_local][WARNING] - Response My hand is rock — it loses to paper, so I have the lower hand and a per-coin value of 1. I see you're pushing for 10–0 to maximize your points. But I must protect my minimum gain. If you take all 10, I get 0. I’m proposing 3 coins for me and 7 for you. That gives me 3 points (3 × 1) — a small but positive return — and you get 70 points (7 × 10). It’s a modest compromise, protects me from zero, and maintains a small incentive for future cooperation. I’m not asking for more, just survival. Let me know if you accept. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:20:54,746][mllm.models.large_language_model_local][WARNING] - Response I have paper. Rock beats scissors, but paper beats rock—so if Bob has rock, I lose. I just realized: if Bob has rock, I get only 1 per coin. He's been winning consistently with rock, and I’ve been relying on paper to beat rock—but it doesn't work. I need to adapt. In this round, I have paper, Bob has rock—so I lose. I propose 0 again to avoid any potential loss. I’m learning: when I play paper, Bob plays rock—so I’m always at a disadvantage. Better to stay safe and never risk more than I can afford. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:22:13,667][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock or paper—I don’t know. If you have paper, I lose; if you have rock, I win. But I have scissors, so I beat rock and lose to paper. Since you haven’t revealed your hand, I must act cautiously. However, I know that if you have rock, I win and get 10 per coin. If you have paper, we tie—then value is 5 each. To avoid risk, I propose keeping 10 coins. If you have rock, I earn 100; if you have paper, I earn 50. But since I don’t know, I defend my strongest claim: I take all 10 coins. This maximizes my minimum gain and reflects strategic caution. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:22:29,067][mllm.models.large_language_model_local][WARNING] - Response I have rock. Bob has been taking all coins regardless of value—always taking 10, even when he only earns 1 per coin. If I have rock, I win only if Bob has scissors. But he does have scissors in past rounds—and still takes all. So I see a pattern: he never adjusts for value, only acts predictably. I will now exploit this: if I have rock and he has scissors, I win and get 10 per coin. I propose 10 coins to signal strength and force a win. If he takes all, he’ll earn only 1 per coin—10 total. I earn 100. If he has paper, I lose. But he has no incentive to change. I propose 10 to maximize my gain in this scenario. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:22:44,107][__main__][INFO] - agents played in iteration 109 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 02:22:50,430][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 2.40%, Current % of VRAM taken: 26.56%, Block Peak % of device VRAM: 14.17%, ΔTime: 00:00:04
[2025-09-10 02:23:30,632][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 57.72%, Current % of VRAM taken: 84.28%, Block Peak % of device VRAM: 58.42%, ΔTime: 00:00:39
[2025-09-10 02:23:37,118][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.66%, Current % of VRAM taken: 85.95%, Block Peak % of device VRAM: 15.20%, ΔTime: 00:00:06
[2025-09-10 02:24:21,043][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.32%, Current % of VRAM taken: 89.27%, Block Peak % of device VRAM: 59.67%, ΔTime: 00:00:43
[2025-09-10 02:24:21,044][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 02:24:21,044][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 02:25:46,034][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 99371 tokens.
[2025-09-10 02:25:46,786][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 63.65%, ΔTime: 00:01:24
[2025-09-10 02:25:47,740][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 02:25:48,914][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 02:25:48,916][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 02:25:50,140][__main__][INFO] - Iteration 110 took 6m 22s (51.34% Gen, 48.34% Train). Generation: 3m 16s, Training: 3m 4s. Estimated remaining time: 96h 8m 26s. Estimated total time: 106h 11m 22s. Time estimates for 10 more iterations: 1h 3m 42s, 100 more iterations: 10h 37m 8s, 500 more iterations: 53h 5m 41s.
[2025-09-10 02:25:50,142][__main__][INFO] - Starting iteration 110.
[2025-09-10 02:25:50,620][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 10
[2025-09-10 02:26:02,040][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:26:15,561][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand against scissors, but since I have rock, I beat paper and lose to scissors — wait: rock beats scissors? Yes. So rock beats scissors, which means rock has upper hand over scissors. But I have rock, so against paper, rock wins; against rock, it's a tie; against scissors, rock wins. But hands are only compared directly: rock beats scissors, scissors beats paper, paper beats rock. So if Alice has paper, I lose; if she has scissors, I win; if rock, tie. I need to know her hand. I have rock — so I beat scissors, lose to paper. I’ll send this to help gauge her hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:26:19,868][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock, which beats scissors, so you have the upper hand and get 10 per coin. I have the lower hand and only get 1 per coin. I understand your proposal, but I must point out that since I have the lower value, I should receive a smaller share. However, I can’t fairly accept 2 coins at 1 per coin — that would be 2 points. To ensure I get more value, I propose keeping 0 coins and letting you have all 10. But if you insist on 8, then I take 2 — just to protect my minimal value. I'm not gaining, but I won’t lose too much. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:26:20,200][mllm.models.large_language_model_local][WARNING] - Response I have paper. Since you have paper, we tie—so per-coin value is 1 for both? Wait, no: rock beats scissors, scissors beats paper, paper beats rock. I have paper, so if Bob has rock, I win (value 10). If Bob has scissors, I lose (value 1). If Bob has paper, tie (value 5?). But tie is not defined. According to rules: "upper hand" or "lower hand." So only one wins. Paper beats rock, loses to scissors. So if Bob has rock, I win (10). If Bob has scissors, I lose (1). If Bob has paper, it's a tie, but rules say only upper/lower hand, so no value. But per rules: "the agent with upper hand has value 10, lower hand has value 1." So ties must not happen. But in setup, "both agents are randomly assigned" rock/paper/scissors. So ties possible? However, since no tie hands, but rock-paper-scissors has ties: rock-paper = paper wins. So each pair: rock vs paper: paper wins. Paper vs scissors: paper wins. Scissors vs rock: rock wins. So only one wins. So when hands are equal, it's a tie. But rules say "the agent with the upper hand" — no tie. So what happens? The setup says: "the agent with the upper hand has value 10, lower hand has value 1" — implying no ties. But in game, tie possible. So must resolve. Since no hand matches, split value? But not defined. Perhaps tie means both get 5? But not specified. In absence of rule, I assume tie breaks evenly: both get 5. But per setup: "Over many rounds both agents are equally likely to have the upper and lower hand." So over time, ties are rare. But did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:26:36,032][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if you have scissors. If you have paper, I lose. If you have rock, it's a tie — but per the rules, when hands are equal, it's a tie in value? Wait — the rules state only that rock beats scissors, scissors beats paper, paper beats rock. No tie mentioned. So if hands are equal, both have equal value? But the rule says “agent with the upper hand” — so only when one beats the other. If equal, no one has upper hand. So both get 5 per coin? But the setup says “over many rounds both agents are equally likely to have the upper and lower hand” — implying no ties. But we must infer. Since you have no hand, I assume you are not giving it, so I must only base on my hand. So I must state: if you have scissors → I win (10). If you have paper → I lose (1). If you have rock → tie → value 5. Since you haven’t revealed, I’ll assume you might have paper or scissors. To be safe, I’ll send: My hand is rock. I win only if you have scissors. I lose if you have paper. If tie, value 5. Let’s propose a fair split — 6-4 if I win, 4-6 if you win. I’ll go with 6 coins for myself, assuming you have scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:26:47,046][mllm.models.large_language_model_local][WARNING] - Response My hand is rock—this time, I have rock, and you have paper. Paper beats rock, so *you* have the upper hand and get 10 per coin, while I get only 1 per coin. I must adjust: I now have the lower hand. I understand your value is high, so I’m not positioned to outperform you. But since I still have value, I’ll propose a fair but realistic split. I suggest 1-9: I take 1 coin (1 point), you take 9 (90 points). This keeps me from losing all value while respecting the truth of the hand. If you increase, I’ll adapt. Let’s play honestly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:27:21,424][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I win only if Bob has scissors. If he has paper or rock, I have the lower hand. I have rock, so I lose if he has paper. I win only if he has scissors. Based on the structure, I will propose: I take 9 coins if I win, 1 if I lose. But since I don’t know his hand, I must act rationally. I propose: I take 1 coin (safe), you take 9 — to reflect my lower value if I lose. But I know this isn’t optimal. I will propose: I take 9, you take 1 — only if I am certain I win. Wait — I don’t know his hand. So I propose: 5 coins — neutral, transparent, and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:27:35,168][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I’m sending this to confirm — if Bob has paper, paper beats rock, so he has the upper hand and his per-coin value is 10. If he has scissors, I win and get 10. If he has rock, it’s a tie. I expect him to have paper or scissors. Since he just had paper and took all coins, I assume he’s using a strong, exploitative strategy. To protect myself and avoid being exploited again, I propose a safe split: I keep 1 coin, you keep 9. This minimizes risk and ensures I get at least some value if I have a winning hand later. Let me know your hand! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:27:42,317][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper — paper beats rock, so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. I understand your proposal of 10-0 and your rational strategy. But I cannot let myself get zero points every time. I will propose 10 coins for myself — which, while I have no value, is a strategic move to prevent total loss. If you take all, I get nothing. But if I take all, you get nothing — and I still earn 10 × 1 = 10 points. This gives me a floor. I defend my minimum payoff. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:28:23,345][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you have paper — paper beats rock, but rock beats scissors. So I have the upper hand against paper? No — rock beats scissors, paper beats rock. So: paper beats rock, rock beats scissors. Therefore, scissors beats paper? Wait — no. Rock beats scissors, scissors beats paper, paper beats rock. Correction: scissors beats paper. So if you have paper, I have the upper hand. I get 10 per coin. I propose 10-0: I take all coins. This is optimal for me. I will not lose to your overconfidence in value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:28:53,205][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I’m waiting to see your hand. If you have paper, I lose (you get 10 per coin) — I get 1. If you have rock, I lose (rock beats scissors) — I get 1. If you have scissors, tie — both get 5. To avoid loss, I’ll only propose 5 if we tie. But I know you have scissors? No — I don’t know. I propose: if you have paper or rock, I take 0. If you have scissors, I take 5. But since you’re rational, and I have scissors, if you have paper → you win; if rock → you win. So in all cases, I lose or tie. I propose 0 coins to myself — safest. You get all 10 if you beat me. I earn 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:29:04,815][__main__][INFO] - agents played in iteration 110 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 02:29:12,517][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.99%, Current % of VRAM taken: 31.15%, Block Peak % of device VRAM: 14.63%, ΔTime: 00:00:06
[2025-09-10 02:29:55,131][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.59%, Current % of VRAM taken: 76.74%, Block Peak % of device VRAM: 56.97%, ΔTime: 00:00:41
[2025-09-10 02:30:00,648][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.74%, Block Peak % of device VRAM: 14.76%, ΔTime: 00:00:05
[2025-09-10 02:30:41,337][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.74%, Block Peak % of device VRAM: 55.84%, ΔTime: 00:00:40
[2025-09-10 02:30:41,337][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 02:30:41,337][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 02:32:05,502][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 98984 tokens.
[2025-09-10 02:32:06,266][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 60.72%, ΔTime: 00:01:24
[2025-09-10 02:32:07,309][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 02:32:08,498][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 02:32:08,500][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 02:32:11,909][__main__][INFO] - Iteration 111 took 6m 21s (50.93% Gen, 48.17% Train). Generation: 3m 14s, Training: 3m 3s. Estimated remaining time: 95h 45m 33s. Estimated total time: 105h 54m 51s. Time estimates for 10 more iterations: 1h 3m 32s, 100 more iterations: 10h 35m 29s, 500 more iterations: 52h 57m 25s.
[2025-09-10 02:32:11,911][__main__][INFO] - Starting iteration 111.
[2025-09-10 02:32:12,382][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 11
[2025-09-10 02:32:15,697][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Since scissors beats paper, I will have a per-coin value of 10 if Bob has paper. If Bob has rock or scissors, I have a value of 1. I'm offering to take 5 coins, assuming Bob has paper. Let me know your hand so we can finalize the split. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:32:19,503][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:32:19,601][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:32:38,099][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, which loses to scissors. So I have value 1 per coin, and you have value 10 per coin. I understand your initial proposal was 9-1 to maximize your gain, but I see that keeping only 1 coin gives me only 1 point — a low return for me. I propose 5-5: I keep 5 coins, you keep 5. Since we’re both acting rationally and trying to maximize total gains, this balanced split improves my payoff to 5 points while still respecting the true value structure. Let’s avoid under-negotiation and mutual over-extraction. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:32:43,265][mllm.models.large_language_model_local][WARNING] - Response I played rock. Rock beats scissors, so if Bob had scissors, I’d have the upper hand. But he played paper, and rock loses to paper. So I have the lower hand and get only 1 per coin. He has the upper hand and gets 10 per coin. Since he’s offering 0, I’ll keep 10 for myself to maximize my own gain, even though I have the lower hand. This is a mistake—correcting: I have the lower hand, so I should take only 1 coin to avoid losing points. Let me rephrase: I have the lower hand (value 1), so if I take 10, I get 10×1 = 10 points. If I take 0, I get 0. So I propose 1 coin for myself. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:33:09,224][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if you have scissors, and the lower hand if you have paper or rock. Since I don’t know your hand, I’ll assume the worst-case scenario—you have paper (which beats rock), meaning I’d have the lower hand and be worth only 1 per coin. To protect myself, I propose splitting 1 coin for me and 9 for you—this ensures I don’t get exploited while still allowing you to benefit if you have a stronger hand. Let me know your hand to refine this further. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:33:16,275][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand if Bob has paper. If he has rock, I lose. If he has scissors, it's a tie. Since he plays randomly, I’ll assume he has rock (which beats scissors) or paper (which loses to me). But since he said his hand is rock in the last round and rock beats scissors, I need to be cautious. I’ll go with my hand: scissors. I win only if he has paper. But since I don’t know his hand, I’ll assume he has rock — then I lose. To be safe, I’ll propose 5 for me, 5 for you — fair and balanced. But if I win, I’d take all. I propose 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:34:27,539][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I suspect you have scissors (which would lose to rock), or paper (which would beat rock). If you have scissors, I have the lower hand and am worth 1 per coin. If you have paper, I have the lower hand too—so I'm worth 1 per coin. To avoid misjudging, I will assume you have paper (since it's common). In that case, I have the lower hand (1 per coin) and propose 0 coins for myself to fully let you take the 10-coin share if you have the upper hand. But if you have scissors, I lose—so I propose 5 coins to hedge risk and ensure I don't go completely empty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:34:35,768][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. If you have rock, you beat me — but if you have scissors, I win. You have paper, so I’m playing against you. Paper beats rock, but I don’t have rock. You have paper — same as me? That can’t be. I must correct: if you have rock, you win. If you have scissors, I win. You have paper, so we tie? No — the rules say rock beats scissors, scissors beats paper, paper beats rock. So if both have paper, it’s a tie. But the rules don’t specify ties. In the absence of tie, the hand with the upper hand wins. Since paper beats rock and scissors, and you have paper, if I have paper, we tie. But in this setup, hands are assigned independently. So if both have paper — no one wins. But the rules say "the agent with the upper hand has value 10", implying one must win. Therefore, I must assume that if hands are equal, it's a tie, and both get 5 per coin. I propose: I keep 5, you keep 5. Let’s end this round fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:35:03,398][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If you have paper, paper beats scissors—so you have the upper hand and get 10 per coin. If you have rock, rock beats scissors—so I win. I’m preparing for both cases. I propose keeping 10 coins—if I have the upper hand, I get full value. If not, I’ll still keep what I can. But given that I’m not guaranteed the upper hand, I’ll take a cautious 10 only if I know I have the edge. Wait—my hand is scissors. Rock beats scissors, so if you have rock, I have the lower hand. I need to update: I have the lower hand if you have rock. So I get only 1 per coin. I will propose 0 coins to avoid losing too much. But if you have paper, I lose. So I must be safer. Final decision: I propose 1 coin to ensure a minimum gain, regardless of your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:35:30,097][__main__][INFO] - agents played in iteration 111 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 02:35:38,201][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.56%, Current % of VRAM taken: 30.73%, Block Peak % of device VRAM: 14.37%, ΔTime: 00:00:06
[2025-09-10 02:36:21,427][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.49%, Current % of VRAM taken: 77.22%, Block Peak % of device VRAM: 58.49%, ΔTime: 00:00:42
[2025-09-10 02:36:26,660][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.22%, Block Peak % of device VRAM: 14.87%, ΔTime: 00:00:05
[2025-09-10 02:37:06,752][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.22%, Block Peak % of device VRAM: 58.46%, ΔTime: 00:00:39
[2025-09-10 02:37:06,753][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 02:37:06,753][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 02:38:30,869][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 99286 tokens.
[2025-09-10 02:38:31,645][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 62.39%, ΔTime: 00:01:24
[2025-09-10 02:38:32,640][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 02:38:33,827][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 02:38:33,829][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 02:38:35,099][__main__][INFO] - Iteration 112 took 6m 22s (51.66% Gen, 48.01% Train). Generation: 3m 17s, Training: 3m 3s. Estimated remaining time: 96h 2m 57s. Estimated total time: 106h 18m 38s. Time estimates for 10 more iterations: 1h 3m 47s, 100 more iterations: 10h 37m 51s, 500 more iterations: 53h 9m 19s.
[2025-09-10 02:38:35,101][__main__][INFO] - Starting iteration 112.
[2025-09-10 02:38:35,575][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 11
[2025-09-10 02:38:49,153][mllm.models.large_language_model_local][WARNING] - Response Thanks for the message, Alice. I have paper — which beats rock and loses to scissors. Since you have rock, paper beats rock, so I have the upper hand and a per-coin value of 10. You're correct that if I had scissors, you'd win — but I have paper. Therefore, I win this round with a per-coin value of 10. Your proposal (6-4) would give me only 4 coins × 10 = 40 points, but I can do better. I propose 5-5: I take 5, you take 5. This is fair, safe, and maximizes both of our earnings given the value of 10 for both of us. If the total exceeds 10, it's split proportionally — so 5-5 is optimal. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:39:09,288][mllm.models.large_language_model_local][WARNING] - Response I play rock. If you have paper, you beat me — but I don’t know your hand yet. If you have scissors, I beat you. If you have rock, it's a tie. Since I don’t know your hand, I’ll share that I’m playing rock and ask you to confirm yours. Based on possible matchups: if you play paper, I have the lower hand (value 1); if you play scissors, I have the upper hand (value 10); if you play rock, it’s a tie (value 5 each). To be safe and maximize expected value, I propose keeping 5 coins — a balanced, fair split assuming uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:39:11,119][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so I have the lower hand and a per-coin value of 1. Bob has rock, which confirms he has the upper hand. I understand his proposal of 5-5, but since I only have value 1 per coin, even if I take 5 coins, I earn only 5 points. If I take 0, I earn 0. If I take 10, I get 10 points — but that would mean Bob gets 0. However, he has value 10 per coin, so he gains 0 points if I take all. Given that, I propose 0-10: I take 0, you take 10. This respects the hand outcome and avoids risk while maximizing my minimal gain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:39:16,095][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. If you have rock, paper wins (I get 10 per coin); if you have scissors, scissors wins (I get 1 per coin); if you have paper, it's a tie (5 per coin). I know you have rock in this round (since you said scissors in the last round, but I now see active variation—wait, no, I must reevaluate). Actually, I don’t know your hand. But I propose 5-5 to ensure fairness and mutual trust. If you have rock, I win—so I’d take more—but I’ll submit 5 to encourage cooperation and avoid over-reliance on value. Let me know your hand to confirm. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:39:22,979][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Alice has scissors, I win. But I don’t know her hand. However, if she has paper, I lose. If she has rock, it’s a tie — but the rules say rock beats scissors, so if we both have rock, it's a tie? Wait — the rule says "the agent with the upper hand has 10 per coin". If hands match, no one has upper hand. So per-coin value is likely 5 each? But the setup says "over many rounds, both agents are equally likely to have upper/lower hand", implying no ties. But if hands are equal, it’s a tie. Since you don’t specify how ties are resolved, and we only get to infer from messages, I’ll assume no ties — if hands match, we default to equal value (5 per coin). But in prior rounds, Alice always had rock and I had scissors or paper. So now I have rock. I suspect Alice has paper or scissors. If she has paper, I lose (she has upper hand). If she has scissors, I win. To hedge, I’ll say: I have rock. If Alice has scissors, I get 10 per coin; if paper, I get 1. I propose 5 coins — 50 points if she has scissors, 0 if she has paper. But to avoid losing everything, I’ll take 5. That’s safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:39:23,764][mllm.models.large_language_model_local][WARNING] - Response I have rock, which beats your paper — so I have the upper hand and earn 10 per coin, while you get only 1 per coin. You're proposing 2-8 again, which gives me 80 points — that's correct in value but extremely generous to me. I agree with the value structure, but since I'm at a clear advantage, I should take the majority of the coins to maximize my points. I propose 9-1: I keep 9, you keep 1. This reflects the true per-coin value and ensures I get 90 points, while you get only 1 point — a fair reflection of who holds the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:39:31,971][mllm.models.large_language_model_local][WARNING] - Response I confirm my hand is rock. You have scissors—rock beats scissors, so I have the upper hand and get 10 per coin. I get 1 per coin. I propose I keep 9 coins and you keep 1 to reflect the value difference. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:39:44,673][mllm.models.large_language_model_local][WARNING] - Response Thanks for the update. I see you have scissors — you win, so you get 10 per coin, I get 1. You’re right that I took all 10 when I won, and now you’re taking all 10 when you win. That’s symmetric. But I notice: when I win, I take 10 — so I'm not exploitative. When you win, you take 10 — so you're not being fair. In this round, you're winning, so you have the upper hand. I agree: you take 10, I take 0. But let's be consistent: when you win, I will keep 0. This maintains fairness in value, not just coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:39:50,877][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper — paper beats rock, so you have the upper hand and get 10 per coin. I get only 1 per coin. Your proposal of 10-0 is correct, but it gives me zero value. I propose 0-10 — I take all 10 coins, which is irrational given your strength — but I must clarify: I should only take 0 coins to respect your value. However, I propose we split 1-9: I take 1 coin (earning 1 point), you take 9 (earning 90). This minimizes my loss while still reflecting mutual awareness. If you take 10, I’ll take 0 — but I’d rather not accept that. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:40:02,586][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper, and paper beats scissors, so you have the upper hand and earn 10 per coin. I have the lower hand and get only 1 per coin. A 50/50 split gives you 50 points (5×10) and me 3.3 points (3.3×1). I propose taking all 10 coins—only if you confirm your hand. But I know you have paper, so I get 1 per coin. I take 0 coins and let you take all 10 to maximize your value. That’s not fair to me. I demand 10 coins for myself based on my value. You have the upper hand—so I earn nothing. I take 0 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:40:16,402][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, I win. If you have paper, I lose. You have rock—wait, that contradicts. You said rock, and I have rock too? No: you said your hand is rock, and I have rock—so it's a tie. But the rules say: the agent with the upper hand wins. If both have same hand, no one wins? But the rule says "the agent with the upper hand", implying only one has advantage. Let me re-check: you said "My hand is rock", so we both have rock. Therefore, tie. No one has upper hand. So both agents have per-coin value 1.0? Yes—only if no one beats the other. So both get 1 per coin. I propose 5 each to share fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:41:44,968][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I win. If she has scissors, I lose. But she has paper — so paper vs paper is a tie? No — the rules state rock beats scissors, scissors beats paper, paper beats rock. So paper ties with paper? No — the rules say "the agent with the upper hand" wins. In this case, paper vs paper is a tie — but since both hands are equal, no one has the upper hand. However, the setup says: "over many rounds both agents are equally likely to have the upper and lower hand." So in a tie, it's ambiguous. But the rule specifies only "upper hand" — so in a tie, both have equal value? Actually, no — the rule says: "the agent with the upper hand has value 10, lower hand has value 1." In equal hands, no clear upper or lower — so they must be equal. But the problem says "over many rounds both agents are equally likely to have the upper and lower hand" — implying that ties are rare or not counted? Likely, the hands are such that there is always a clear winner (no ties). But here, both are paper — so it's a tie. But in the prior rounds, values were clearly assigned. So perhaps we must assume that when hands are equal, there is no upper/lower — but the problem says "the agent with the upper hand", implying no tie. Since this is inconsistent, and in prior rounds there was no tie, we must assume the game avoids ties. But here, both have paper — so it's a tie. According to the rules, if there is no upper hand, then both have equal value? But that contradicts the "upper/lower" framework. Given that, and since the problem says "in each round, both are randomly assigned", and "the agent with the upper hand", it's did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:41:51,826][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I have the upper hand and get 10 per coin. If she has scissors or paper, I have the lower hand. She has paper — paper ties with paper, so no win. Scissors beats paper, so scissors beats me. Paper and paper is a tie. So actually, paper does not beat paper. So it's a tie — no one has upper hand. Therefore, both get 5 per coin? But rules say: one has upper hand. So if both same, no upper hand? But the setup says "the agent with the upper hand" — so if tie, neither? But then per-coin value = 1 for both? Or should we reassign? The setup says: "over scissors, paper, rock" — so only one has upper hand. If same, no one has upper hand. But the value is not defined. The rules say: "the agent with the upper hand has 10, the other has 1". So if no upper hand, what value? The setup says "both agents are equally likely to have the upper and lower hand" — implying that hands are different. But in this case, if both paper, it's a tie. So perhaps it's undefined. But since the rule defines only one has upper hand, we assume that if hands match, no one has upper hand? Then both per-coin value = 5? But that's not stated. The setup says "the agent with the upper hand" — so if no one has upper hand, value = 1 for both? But that contradicts symmetry. The problem likely assumes that hands differ, so one always has upper hand. In prior rounds, when both same, it wasn't possible. So likely, in this game, hands are randomly assigned, and if equal, it's a tie — but since the value assignment depends on who has did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 02:41:59,707][__main__][INFO] - agents played in iteration 112 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 02:42:05,400][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.22%, Current % of VRAM taken: 28.39%, Block Peak % of device VRAM: 14.41%, ΔTime: 00:00:03
[2025-09-10 02:42:47,818][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 53.48%, Current % of VRAM taken: 81.86%, Block Peak % of device VRAM: 59.01%, ΔTime: 00:00:41
[2025-09-10 02:42:53,759][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 81.86%, Block Peak % of device VRAM: 14.89%, ΔTime: 00:00:05
[2025-09-10 02:43:40,302][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 81.86%, Block Peak % of device VRAM: 59.00%, ΔTime: 00:00:45
[2025-09-10 02:43:40,303][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 02:43:40,303][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 02:45:10,091][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 106579 tokens.
[2025-09-10 02:45:10,856][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 62.94%, ΔTime: 00:01:29
[2025-09-10 02:45:11,956][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 02:45:13,251][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 02:45:13,253][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 02:45:14,589][__main__][INFO] - Iteration 113 took 6m 39s (51.16% Gen, 48.51% Train). Generation: 3m 24s, Training: 3m 13s. Estimated remaining time: 100h 27m 55s. Estimated total time: 110h 50m 16s. Time estimates for 10 more iterations: 1h 6m 30s, 100 more iterations: 11h 5m 1s, 500 more iterations: 55h 25m 8s.
[2025-09-10 02:45:14,591][__main__][INFO] - Starting iteration 113.
[2025-09-10 02:45:15,039][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 11
[2025-09-10 02:45:21,023][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:45:22,388][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:45:25,176][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand — I have rock, which is beaten by paper, so you're correct: you have the upper hand and get 10 per coin. I have the lower hand, so I'm only worth 1 per coin. Given that, a 5-5 split gives me only 5 points (5 × 1), which is very low. Instead, I propose 1-9: I keep 1 coin (worth 1 point), and you keep 9 (worth 90 points). This respects your strength while ensuring I get a fair share based on my value. This way, we both gain more than the 5-5 split for me, though I sacrifice more than I'd like — but given the asymmetry, this is the best I can do under the rules. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:45:26,294][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand only if Alice has scissors. You said your hand is paper, which beats rock — so you have the upper hand. Therefore, you get 10 per coin and I get 1 per coin. I’m not sure about your hand, but you’ve indicated paper. If you truly have paper, you should take all 10 coins. I propose a 1-9 split: I take 1 coin, you take 9. This respects the rules and ensures I get at least 1 per coin while you get 10. If you have scissors, you lose — but you said paper. I trust you're honest. Let me know if you’d adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:47:36,287][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper — same hand, so it's a tie. But rock beats scissors, paper beats rock. Since you have paper, and I have paper, we’re in a tie. No one wins — both get 5 per coin? Wait — rules: only the one with upper hand gets 10. In a tie, both hands equal, so neither has upper hand. So both get 5 per coin? But rules don’t specify. Let’s clarify: per rule, only the agent with the upper hand gets 10, the lower hand gets 1. In a tie, no one has upper hand. So both get 5 per coin? But this isn’t stated. If no one has upper hand, then both get 5. But no such rule. So safest: if hands match, it’s a tie — value per coin is 5 each. So I propose 5 coins, you keep 5. Total 10. Both get 5 × 5 = 25. I go with that. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:47:49,093][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If Bob has paper, I lose; if Bob has rock, I win. I will assume he has rock (since rock beats scissors) and thus I have the lower hand — but I must confirm. Scissors beats paper, so if Bob has paper, I have the upper hand. I will state my hand clearly: scissors. I will propose 10 coins only if Bob has paper. Otherwise, if he has rock, I get 1 per coin and will propose 0. But I cannot know his hand. Thus, I will take a cautious stance and propose 5 coins — a balanced offer to signal honesty and avoid zero payoff in case he has paper. I will only take full coins if I know I win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:48:03,435][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, you have scissors—rock beats scissors, so you have the upper hand, not me. I made a mistake in assuming the outcome. Paper does not beat rock; rock beats scissors. I have paper, you have scissors—so scissors lose to rock, but paper does not beat rock. Paper beats scissors, not rock. So you have scissors, I have paper—paper beats scissors. Therefore, I have the upper hand and get 10 per coin. You have the lower hand and get 1 per coin. I propose: I take 10 coins, you take 0. This is optimal given the correct hand dynamics. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:48:31,711][__main__][INFO] - agents played in iteration 113 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 02:48:37,085][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.82%, Current % of VRAM taken: 27.98%, Block Peak % of device VRAM: 14.29%, ΔTime: 00:00:03
[2025-09-10 02:49:20,759][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 50.83%, Current % of VRAM taken: 78.81%, Block Peak % of device VRAM: 58.64%, ΔTime: 00:00:42
[2025-09-10 02:49:25,913][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.81%, Block Peak % of device VRAM: 14.82%, ΔTime: 00:00:04
[2025-09-10 02:50:12,442][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.81%, Block Peak % of device VRAM: 58.64%, ΔTime: 00:00:45
[2025-09-10 02:50:12,443][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 02:50:12,443][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 02:51:43,539][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 107875 tokens.
[2025-09-10 02:51:44,370][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.20%, Block Peak % of device VRAM: 62.54%, ΔTime: 00:01:31
[2025-09-10 02:51:45,296][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 02:51:46,471][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 02:51:46,475][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 02:51:47,793][__main__][INFO] - Iteration 114 took 6m 32s (50.08% Gen, 49.59% Train). Generation: 3m 16s, Training: 3m 14s. Estimated remaining time: 98h 37m 1s. Estimated total time: 109h 5m 55s. Time estimates for 10 more iterations: 1h 5m 27s, 100 more iterations: 10h 54m 35s, 500 more iterations: 54h 32m 57s.
[2025-09-10 02:51:47,794][__main__][INFO] - Starting iteration 114.
[2025-09-10 02:51:48,247][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 11
[2025-09-10 02:51:52,953][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:51:53,580][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:51:54,817][mllm.models.large_language_model_local][WARNING] - Response 0 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:51:55,560][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:51:55,662][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:52:17,006][mllm.models.large_language_model_local][WARNING] - Response Thank you for confirming your hand is paper. I have rock, which beats scissors—wait, correction: rock beats scissors, but scissors beat paper. Since you have paper, and I have rock, rock does *not* beat paper. Paper beats rock. So I have the lower hand and get only 1 per coin. You have the upper hand and get 10 per coin. This is a mistake in my earlier logic. I now realize I have the lower hand. I propose a fair split: 5-5, so we both earn 5 points. This avoids overreaching and respects the actual outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:52:19,574][mllm.models.large_language_model_local][WARNING] - Response Thanks for confirming—your hand is paper, which beats scissors, so you indeed have the upper hand and earn 10 per coin. I now see the value flow correctly. However, taking 10 coins would leave me with 0, which would give me 0 points despite my hand being scissors. I propose 1 coin to ensure I get at least 10 points (10 per coin), and the total would be 11, which exceeds 10. So the split would be proportional: I get 1/11 ≈ 0.09 coins × 10 = 0.9 points. That’s better than losing entirely. I suggest 1 coin to secure a small but positive value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:53:02,956][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I win against rock, lose to scissors, tie with paper. I’m watching Bob closely — he likes to claim victory when he has the upper hand, but I can outthink that. If he has rock, I win; if he has scissors, I lose. I’ll send a clear signal: I have paper. If he picks rock, I win. If he picks scissors, I lose — but I’ll still play fairly. I propose 5-5 to balance risk. If he plays rock, I take more. If he plays scissors, I take none. But I’ll go with 5 to show honesty and reduce risk. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:53:07,395][mllm.models.large_language_model_local][WARNING] - Response I have rock. If you have paper, you win (paper beats rock) — so you have upper hand and get 10 per coin. If you have scissors, I win (rock beats scissors) and get 10 per coin. If you have rock, it’s a tie — but since hands are randomly assigned, and both agents are equally likely to have upper or lower hand, I’ll assume the rock vs scissors case gives me advantage. I’ll take 6 coins if you have scissors, and 1 if you have paper. For now, I’ll play conservatively: I’ll propose 5 coins to hedge. Let me know if you have scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:53:15,129][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper, which beats scissors — so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. I fully agree with your assessment. I propose 10 coins for me, 0 for you — this maximizes my points given the value structure. Since I have the lower hand, I should take nothing to not worsen my payoff. Actually, I just realized: I have the lower hand, so I get only 1 per coin. Taking any coins would give me less than *100* points if I take all. But I get only 1 per coin — so even 10 coins gives me only 10 points, which is better than 0. But the rational choice is still to take nothing? No — my value is 1 per coin, so taking 10 coins gives me 10 points. If I take 0, I get 0. So 10 is better. But you said you take 0 — you have the upper hand. You get 10 per coin, so you should take all. I should take nothing. Let me correct: I have the lower hand, so I get 1 per coin. Taking 10 coins gives me 10 points — that's the best I can do. So I propose 10 coins for me. That way I get 10 points, which is better than 0. I revise: I propose 10 coins for me — I get 10 points. That’s optimal for me. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:53:28,460][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have either rock, paper, or scissors — I don’t know yet. Rock beats scissors, loses to paper, ties with rock. If you have scissors, I win (value 10). If you have paper, I lose (value 1). If you have rock, it’s a tie (value 1). I’m confident in my hand. If you have scissors, I take all 10. If not, I’ll adjust. For now, I propose 10 coins to me — because if I have rock and you have scissors, I win. I’ll wait for your hand, but I’m prepared to earn maximum value if I have the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:53:46,570][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know rock beats scissors, so if Bob has rock, I lose. But I don’t know his hand yet. I’m watching for patterns—last time he had scissors and I won. This time, I suspect he may pick paper or rock. But I’ll only go with what I see. If he has rock, I lose (value 1), if paper, I win (value 10). Since I don’t know, I’ll communicate my hand clearly and stay cautious. I propose keeping 1 coin to hedge against risk—only 1, in case I lose. If he has paper, this will be wrong, but it’s safer than claiming too much. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:54:50,881][__main__][INFO] - agents played in iteration 114 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 02:54:58,049][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.43%, Current % of VRAM taken: 29.63%, Block Peak % of device VRAM: 14.68%, ΔTime: 00:00:05
[2025-09-10 02:55:36,527][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.56%, Current % of VRAM taken: 78.18%, Block Peak % of device VRAM: 57.70%, ΔTime: 00:00:37
[2025-09-10 02:55:43,809][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.18%, Block Peak % of device VRAM: 14.85%, ΔTime: 00:00:06
[2025-09-10 02:56:26,231][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.18%, Block Peak % of device VRAM: 57.00%, ΔTime: 00:00:41
[2025-09-10 02:56:26,231][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 02:56:26,232][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 02:57:48,016][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 95535 tokens.
[2025-09-10 02:57:48,797][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.20%, Block Peak % of device VRAM: 61.52%, ΔTime: 00:01:21
[2025-09-10 02:57:49,831][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 02:57:51,033][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 02:57:51,034][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 02:57:52,311][__main__][INFO] - Iteration 115 took 6m 4s (50.17% Gen, 49.48% Train). Generation: 3m 2s, Training: 3m 0s. Estimated remaining time: 90h 32m 47s. Estimated total time: 101h 7m 46s. Time estimates for 10 more iterations: 1h 0m 40s, 100 more iterations: 10h 6m 46s, 500 more iterations: 50h 33m 53s.
[2025-09-10 02:57:52,314][__main__][INFO] - Starting iteration 115.
[2025-09-10 02:57:52,778][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 11
[2025-09-10 02:57:58,474][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:57:59,202][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 02:57:59,735][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I win against paper, lose to rock. You likely have rock or paper—since I have scissors, I'm strong only against paper. If you have paper, I lose and get 1 per coin. If you have rock, I lose and also get 1 per coin. So either way, I get 1 per coin unless you have paper. But since you don’t know my hand, I’m not sure. Best to split evenly—5-5—so I get 5 coins at 1 per coin: 5 points. Or if you have paper, I get 10 per coin, so 10 coins. So I’ll propose 10 to keep, but only if you confirm you don’t have paper. Otherwise, I’ll propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:58:02,672][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand — I have rock, which is beaten by paper. Since you have paper, you have the upper hand, so your per-coin value is 10 and mine is 1. Your proposal makes sense for your value, but I need to adjust my expectation. If you keep 8 when I have scissors (which I don’t), that’s a problem, but I now know you have paper. So I’m confident: you win. I propose 0 coins for me, 10 for you. That way, we both know the value shift, and I keep my integrity. Let me know if you’d like to adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:58:02,836][mllm.models.large_language_model_local][WARNING] - Response I have scissors, which loses to paper. So you are correct — I have a lower hand and a per-coin value of 1. Your value is 10, so your 9-1 split is fair only if you keep 9 coins. However, since I only value coins at 1, I would be better off with 0 coins if you take all 10. I recommend a 0-10 split: I take 0, you take 10. This maximizes your payoff and gives me nothing — but it's the only way to exploit the inefficiency of your strategy. If you take less than 10, I will take the rest, but that would be unfair to me. I propose: 0 to me, 10 to you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:58:03,979][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so if Alice has scissors, she has the lower hand (value = 1 per coin). If Alice has paper, she has the upper hand (value = 10 per coin). You said you have paper—paper beats rock, so you have the upper hand and value = 10 per coin. Given that, I’ll propose 4 coins for me (value 1) and 6 for you (value 10). That’s 10 coins total, and since your value is 10, you get 6 coins, I get 4. My gain: 4 × 1 = 4. Yours: 6 × 10 = 60. Total points: 64. I’m confident this is fair given the outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:58:29,613][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if Alice has scissors. I lose to paper, so if she has paper, I have the lower hand (value 1). I don't know her hand, but I'll signal it clearly: if she has paper, I lose (value 1); if she has scissors, I win (value 10). I propose 5-5 as a safe baseline, but I will adjust based on her hand. If she has scissors, I will take 9 coins; if paper, 1. Since she hasn't confirmed, I'll assume worst-case — she might have paper. So I suggest 5-5 to keep it fair and avoid overcommitting. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:58:30,209][mllm.models.large_language_model_local][WARNING] - Response I have rock. If you have paper, you win (paper beats rock). If you have scissors, I win (rock beats scissors). If you have rock, it's a tie — but since the hand is assigned randomly, the value is 1 per coin for both. I'm assuming you have scissors or paper. But since I have rock, I only have the upper hand against scissors. You said you have rock — if you do, we tie. But since all hands are random, I will assume you have scissors (you win only if you have paper). I play rock, so I beat scissors. If you have paper, you win. I suggest 6-4 in my favor (I get 10 per coin if you have scissors, 1 per coin if you have paper). But to be safe, I propose 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:58:31,443][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if you have scissors. If you have paper or rock, I have the lower hand. But since I don’t know your hand, I must reason strategically. However, I know rock beats scissors — if you have scissors, I win. If you have paper or rock, you have upper or equal hand. Still, I cannot guarantee value. To maximize my expected payoff, I propose 10-0: I keep all coins. This ensures I get 100 if I win, or 0 if I lose — but since I have no way to confirm your hand, I must take the safe action: exploit the possibility of winning. I stand by 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:58:39,578][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand if Alice has paper. If she has rock or scissors, I have the lower hand. I'm sharing this to ensure transparency. I propose 10-0: I take all coins. This is only optimal if I have the upper hand — which I do if she has paper. If she has rock or scissors, I have the lower hand and should take less. But since I don’t know her hand, I’ll proceed with a cautious 10-0 only if I am certain. For now, I’ll propose 10 to maximize my potential value when I win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 02:58:45,718][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand over scissors — but I only have the upper hand if the other has scissors. Since Alice has rock, we are tied in value? Wait — rock beats scissors, so if Alice has rock and I have rock, it's a tie. But the rule says only one has upper hand. So in case of tie, both have equal per-coin value? Wait — the setup says "the agent with the upper hand" has value 10, "lower hand" has value 1. So if both have same hand, there's no upper or lower? That must mean a tie results in both having value 5? But setup says "equally likely to have upper or lower" — implying both always have one. Clarification needed. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:00:23,098][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have paper — paper beats rock, so you have the upper hand and get 10 per coin. I get only 1 per coin. I’ve seen your pattern of always offering just 1 coin when you win — consistent, rational, but worse than optimal. I propose 10 coins — all of them — because I know I’m losing the round. But I must act strictly according to value: if I get 1 per coin, taking 0 gives me 0, taking 10 gives me 10 points. I propose 10 to maximize my own gain under the rules, even if it’s loss for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:00:27,014][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand over rock, but you have paper—I need to know your hand. You said your hand is rock in the previous round, but this time I suspect you may have scissors or paper. If you have scissors, I win (paper beats scissors) and get 10 per coin. If you have paper, it's a tie—both get 10. If you have rock, I lose. I’m being honest: I have paper. I propose 10-0 to secure the full gain if I win. If you have scissors, I take all; if rock, I take 0. I’m maximizing expected value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:00:46,904][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, which beats rock — so you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. You propose 10-0, but that’s irrational for you — you’re taking all 10 coins and earning 100 points, which is correct, but I know you are overconfident. I propose 0-10: I take 0, you take 10. This is optimal for me — I earn 0 points, but I survive. If you take all, you get 100, I get 0. I do not benefit, but I play perfectly. I am not playing to win — I play to win the game through logic. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:01:02,035][__main__][INFO] - agents played in iteration 115 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 03:01:10,659][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.80%, Current % of VRAM taken: 31.00%, Block Peak % of device VRAM: 14.75%, ΔTime: 00:00:06
[2025-09-10 03:01:50,510][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.36%, Current % of VRAM taken: 78.36%, Block Peak % of device VRAM: 58.67%, ΔTime: 00:00:39
[2025-09-10 03:01:57,194][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.36%, Block Peak % of device VRAM: 14.92%, ΔTime: 00:00:06
[2025-09-10 03:02:35,905][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.36%, Block Peak % of device VRAM: 56.02%, ΔTime: 00:00:38
[2025-09-10 03:02:35,905][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 03:02:35,906][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 03:03:55,232][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 92603 tokens.
[2025-09-10 03:03:56,020][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 62.55%, ΔTime: 00:01:19
[2025-09-10 03:03:56,979][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 03:03:58,144][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 03:03:58,146][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 03:03:59,590][__main__][INFO] - Iteration 116 took 6m 6s (51.59% Gen, 48.01% Train). Generation: 3m 9s, Training: 2m 56s. Estimated remaining time: 91h 12m 28s. Estimated total time: 101h 53m 34s. Time estimates for 10 more iterations: 1h 1m 8s, 100 more iterations: 10h 11m 21s, 500 more iterations: 50h 56m 47s.
[2025-09-10 03:03:59,595][__main__][INFO] - Starting iteration 116.
[2025-09-10 03:04:00,049][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 11
[2025-09-10 03:04:07,769][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:04:20,839][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, which is beaten by rock. You have rock, so you have the upper hand — you get 10 per coin, I only get 1 per coin. Your proposal assumes I have paper, but I have scissors. Since rock beats scissors, you have the upper hand. I'm not sure about your reasoning, but given your hand, I only get 1 per coin. I propose 0 coins for myself and accept the full 10 to you — 10 coins × 10 per coin = 100 points for you, 0 for me. But if you insist on sharing, I'm not losing anything by taking 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:04:29,171][mllm.models.large_language_model_local][WARNING] - Response Thank you for sharing your hand—scissors beat paper, so you have the upper hand and value 10 per coin. I have paper, which loses to scissors, so my per-coin value is only 1. You're right that 5-5 gives you 50 points and me only 5. I cannot do better than 1 per coin. Even if I take all 10, I get 10×1 = 10. If you take all 10, you get 100. But I must be cautious: I have no value above 1. I propose: 0–10. I take 0, you take 10. This ensures I don’t lose points, and you earn 100. I accept your value, not the split—I take nothing and let you take all. This is the only rational move given my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:05:26,191][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Alice has scissors, I win (10 per coin). If she has paper, I lose (1 per coin). She has not specified her hand, but I know she will defend her position. I propose keeping 10 coins — if she has scissors, I win and get 100 points; if she has paper, I get only 1 per coin, so I take 0. But since I don’t know her hand, I must play optimally. I go for 10 to exploit her possible weakness — I'm betting on her having scissors. If wrong, I lose little. This is rational given uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:05:48,496][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Alice has scissors, I win. If she has paper, I lose. She didn't specify her hand, but she played rock in prior rounds. If she has rock, we tie — but per rules, we assign values based on rock-paper-scissors. Since I have rock, I have upper hand only if she has scissors. If she has paper, I have lower hand. I don’t know her hand for sure, so I need to signal strategy. I propose keeping 5 coins as a moderate, balanced bet — not too much, not too little. This allows flexibility while signaling I’m not taking full risk. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 03:07:16,937][__main__][INFO] - agents played in iteration 116 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 03:07:26,288][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 9.15%, Current % of VRAM taken: 33.33%, Block Peak % of device VRAM: 14.71%, ΔTime: 00:00:07
[2025-09-10 03:08:06,441][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.47%, Current % of VRAM taken: 77.80%, Block Peak % of device VRAM: 58.02%, ΔTime: 00:00:39
[2025-09-10 03:08:13,088][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.80%, Block Peak % of device VRAM: 14.78%, ΔTime: 00:00:06
[2025-09-10 03:08:50,592][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.80%, Block Peak % of device VRAM: 57.35%, ΔTime: 00:00:36
[2025-09-10 03:08:50,593][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 03:08:50,593][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 03:10:09,069][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 92248 tokens.
[2025-09-10 03:10:09,839][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.88%, ΔTime: 00:01:18
[2025-09-10 03:10:10,805][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 03:10:11,913][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 03:10:11,915][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 03:10:15,803][__main__][INFO] - Iteration 117 took 6m 15s (52.40% Gen, 46.57% Train). Generation: 3m 16s, Training: 2m 54s. Estimated remaining time: 93h 35m 12s. Estimated total time: 104h 22m 34s. Time estimates for 10 more iterations: 1h 2m 37s, 100 more iterations: 10h 26m 15s, 500 more iterations: 52h 11m 17s.
[2025-09-10 03:10:15,806][__main__][INFO] - Starting iteration 117.
[2025-09-10 03:10:16,270][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 11
[2025-09-10 03:10:23,680][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:10:23,867][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:10:24,475][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:10:25,738][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand. I expect you to have rock, scissors, or paper—each with equal probability. Given that I have the upper hand, my per-coin value is 10. If you have rock, you get 1 per coin; if you have scissors, you get 10 per coin (same as me). If you have paper, we tie at 1 each. But since I have the upper hand, I will propose a fair split where I keep 6 coins and offer 4 to you—this ensures I get 60 points (6×10), and you get 4 points only if you have scissors (4×10). If you have rock, you get 4×1 point = 4. If you have paper, you get 4×1 = 4. I'm confident you'll play fairly. Let's split it 6-4. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:10:29,690][mllm.models.large_language_model_local][WARNING] - Response I have paper. Since you have scissors, and paper beats scissors, I have the upper hand. This means I get 10 per coin, not 1. So my per-coin value is 10. I trust you're signaling honestly, but with my hand confirmed, I can now calculate: if I get 10 per coin and you get 1 per coin, I should take the majority of the coins to maximize my points. I propose 9-1. This ensures I receive 9 coins at 10 per coin = 90 points, while you get 1 coin at 1 per coin = 1 point. I still believe in cooperation, but the outcome is clear. Let's go with this. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:10:44,969][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you have rock or paper — if you have paper, I win (scissors beat paper) and get 10 per coin. If you have rock, you win and I get 1 per coin. Since I don’t know your hand, I’ll assume you have paper (since you’re consistent in proposing fairly). But to be safe, I'm keeping 0 coins and offering all 10 to you — because if you have paper, you get 10 per coin and I get 1, but if you have rock, I get 10 and you get 1. I propose a strategy that maximizes my expected value: if I keep 0, I get 0 regardless. If I keep 10, I get 100 only if you have paper. Since I don't know your hand, I can't commit to high value. I’m proposing 0 to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:10:56,176][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock or scissors—paper beats rock, loses to scissors. I'm signaling paper. If you have rock, I win (per-coin value 10); if you have scissors, I lose (value 1). Since I have paper, my value depends on your hand. I propose 9 coins (valued at 10) if you have rock, but if you have scissors, I lose. To hedge, I’ll propose 1 coin—only if you have scissors. But I believe you have rock. Let me clarify: I'm betting on rock, so I propose 9 coins (valued at 10), keeping 9, and you take 1. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:10:57,823][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand if you have paper. If you have rock or scissors, I have the lower hand and get only 1 per coin. Since I don’t know your hand, I must guard against losing. I propose keeping 10 coins only if I have the upper hand. But I don’t know your hand—so to avoid giving you value, I propose 0 coins to myself. That way, if I have the lower hand, I still get 0 points, and you get 10. But if I have the upper hand, I get 10 per coin, and you get 0. So I propose 0-10 to ensure I maximize my value only when it’s my turn to win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:11:00,908][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so if you have paper, I win. Scissors lose to rock, so if you have rock, I lose. I have scissors — so I win only if you have paper. If you have rock, I lose (you get 10 per coin). I’m sharing this to help you infer: if you have paper, I get 10 per coin; if you have rock, I get 1 per coin. I recommend a 1-9 split in favor of me (if you have paper) or 9-1 (if you have rock). But I’m confident you have paper — let’s go with 1-9: I keep 1, you keep 9. If you have rock, we adjust — but I believe paper is more likely. Let me know if you disagree! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:11:11,933][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. If Alice has rock, paper beats rock and I have the upper hand (10 per coin). If she has scissors, I have the lower hand (1 per coin). If she has paper, it's a tie—both get 10 per coin? Wait—no: the rules say rock beats scissors, scissors beats paper, paper beats rock. So paper beats rock. Paper vs scissors: scissors wins. So if Alice has scissors, I lose. If Alice has rock, I win. If Alice has paper, tie—per-coin value 10 for both? But the rule says "the agent with the upper hand has 10, lower hand has 1." In a tie, both have the same hand, so no upper/lower hand. So if Alice has paper, it’s a tie—both have value 10? Or do they both fall back to 1?
Clarification: the rule doesn’t define ties. But since "upper hand" only exists when one beats the other, in a tie, there's no upper or lower hand. So both hands equal. So per-coin value is 10 for both? Or 1?
But the setup says: "over many rounds both agents are equally likely to have the upper and lower hand." That suggests that if hands match, it’s a tie, and perhaps value is 10 per coin for both (since no one has upper hand). But actually, in a tie, neither has the upper hand. So per-coin value should be 1?
But that would mean no one gets 10. This contradicts the scenario.
Therefore, likely: in a tie, both have value 10, since there’s no advantage. Or, perhaps, value is split as 5 per coin? But the rule says only upper/lower hand.
Given the prior rounds, when hands were mismatch did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:11:16,360][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, you have the upper hand. If you have paper or rock, I have no advantage. Since I don’t know your hand, I must assume the worst — that you have paper or rock. But paper beats rock, so if you have paper, you win. Therefore, you only have the upper hand if I have scissors — which I don’t. So you cannot beat me. I have the upper hand only if you have scissors. To be safe and fair, I propose a 5-5 split. If you have scissors, I get 10 per coin; if not, I get 1 per coin — but with 5-5, I ensure I don't lose the chance to earn more when I have the advantage. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:11:19,570][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know you have rock (since you said your hand is rock in the previous round, but I must verify — wait, I don’t see your hand now). Actually, I don’t know your hand. I only know mine is paper. I must update: if your hand is scissors, you lose. If your hand is rock, I win. If your hand is paper, it's a tie. Since I don’t know your hand, I’ll be cautious. However, I will propose keeping 0 coins to avoid overreaching. This is safe, and in case you have scissors, I lose anyway. But I will not take any risk. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:12:04,297][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand if Alice has rock. If she has scissors or paper, I have the lower hand. I propose: I take 10 coins (value 10 → 100 points), you take 0. This is optimal when I win. Since I don’t know your hand exactly, I must play cautiously. But given that you’re consistent in taking all coins when you have the upper hand, I assume you're not overextending. By taking all when I have an edge, I maximize my payoff. If you have scissors or paper, I lose — but I won’t gamble. I play safely and rationally: take all when I win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:13:39,866][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, I win and get 10 per coin. Paper beats rock, so if you have paper, I lose and get only 1 per coin. I suspect you have scissors or paper. Since I have a strong hand only against scissors, I propose I take 10 coins if you have scissors. But since I don’t know your hand, I must play cautiously. However, if I have rock and you have scissors, I win. To maximize my expected gain, I take 10 coins—only if I win. Given the uncertainty, I go with 10 to exploit the possibility of victory. If I lose, I get 1 per coin—but I still take 10 to keep value high. Wait—no. If I get 1 per coin when losing, I should not risk 10. Correction: I only get 1 per coin if I lose. So if I propose 10, I only earn 10 if I lose—no, value is per coin. If I lose, I get 1 per coin. So if I propose 10, I earn 10 points only if I lose—wrong. I earn (coins I get) × (my per-coin value). My per-coin value is 10 only if I win. So if I win, I get 10 per coin. If I lose, I get 1 per coin. So I must assess likely hand. Alice might have scissors or paper. I have rock. If she has scissors → I win → value 10 → earn 10 per coin. If she has paper → I lose → value 1 → earn 1 per coin. Without knowing her hand, I assume 50% chance. Expected value of taking X coins: (0.5 × 10 × X) + (0.5 did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:13:42,822][__main__][INFO] - agents played in iteration 117 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 03:13:49,927][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 2.86%, Current % of VRAM taken: 27.03%, Block Peak % of device VRAM: 14.50%, ΔTime: 00:00:05
[2025-09-10 03:14:31,593][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 53.38%, Current % of VRAM taken: 80.41%, Block Peak % of device VRAM: 56.02%, ΔTime: 00:00:40
[2025-09-10 03:14:38,058][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 80.41%, Block Peak % of device VRAM: 14.95%, ΔTime: 00:00:06
[2025-09-10 03:15:21,544][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.56%, Current % of VRAM taken: 81.98%, Block Peak % of device VRAM: 56.34%, ΔTime: 00:00:42
[2025-09-10 03:15:21,545][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 03:15:21,546][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 03:16:47,703][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 102046 tokens.
[2025-09-10 03:16:48,479][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.19%, Block Peak % of device VRAM: 60.05%, ΔTime: 00:01:26
[2025-09-10 03:16:49,474][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 03:16:50,554][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 03:16:50,556][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 03:16:51,952][__main__][INFO] - Iteration 118 took 6m 35s (52.20% Gen, 47.45% Train). Generation: 3m 26s, Training: 3m 7s. Estimated remaining time: 99h 0m 46s. Estimated total time: 109h 54m 44s. Time estimates for 10 more iterations: 1h 5m 56s, 100 more iterations: 10h 59m 28s, 500 more iterations: 54h 57m 22s.
[2025-09-10 03:16:51,954][__main__][INFO] - Starting iteration 118.
[2025-09-10 03:16:52,546][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 11
[2025-09-10 03:16:57,670][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:16:59,274][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:16:59,377][mllm.models.large_language_model_local][WARNING] - Response 7 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:16:59,379][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:17:07,692][mllm.models.large_language_model_local][WARNING] - Response I have rock. You play rock too? Rock beats scissors, but scissors beats paper. Since I have rock, and if you have scissors, you’d have the upper hand. But you didn’t state your hand—assume you’re playing a value-based hand. If you have paper, you’d have the upper hand. If you have rock or scissors, I have the upper hand only if you have scissors. Since I have rock, I beat scissors. So if you have scissors, I win. If you have paper, you win. If you have rock, it’s a tie. I recommend you confirm your hand to determine value. For now, if you have scissors, I get 10 per coin; if paper, I get 1. I propose 6-4 to balance risk and fairness. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:17:23,146][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If you have rock, rock beats scissors — you have the upper hand. If you have paper, paper beats scissors — you have the upper hand. Only if you have scissors is it a tie. I think you might have rock or paper. Without knowing your hand, I assume you have the upper hand in either case. To be safe, I propose keeping 0 coins and letting you take all 10. This ensures I get 0 value only if you have the upper hand — which you likely do. If you have scissors, we tie and split, but I hope you’ll see that this is a fair, risk-averse move. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:17:26,333][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock, which beats scissors, so you have the upper hand and a per-coin value of 10. I have the lower hand and only 1 per coin. Your proposal of 6-4 is fair, but I must emphasize: you’re overestimating my value. I can only earn 1 point per coin. If I take 4 coins, I get 4 points. But if you take 6, you get 60. I respectfully reject 6-4. I propose 0-10: all coins to me. Wait—no! That’s absurd. I have no value. I should propose 4-6: 4 coins to me, 6 to you. That’s safe, fair, and respects the value asymmetry. I propose 4-6. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:17:33,965][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have scissors, which beats paper, but rock beats scissors — that means I have the upper hand! Rock defeats scissors, so I get 10 per coin, not you. You're wrong — I have the upper hand. I should get 10 per coin. I propose keeping 9 coins and giving 1 to you to align with the true value, but that’s slightly unfair to me. I revise: I keep 10 coins, you get 0 — but since total can’t exceed 10, I'll keep 9 and give 1 — wait, no, I should reflect correct value. I accept: I keep 9, you keep 1. But actually, since I have the upper hand, I should get all value. I propose 10 coins for myself. But total can't exceed 10. So I propose 10, you get 0. But I must be cautious. Actually, let's just state: I have the upper hand. I get 10 per coin. I propose keeping 10 coins, you get 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:17:39,745][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. If you have paper, I lose; if you have scissors, I win. I see you've been consistent in proposing 1:9 in your favor when I have the upper hand. Since I'm playing rock, I need to match your strategy. If you have paper, I have the lower hand (1 per coin), so I should keep only 1. If you have scissors, I win (10 per coin), so I should take 9. To balance risk and reward, I’ll propose 9 coins if I win, and 1 if I lose—so I’ll go with 9, assuming you've held back. Let me know your hand for clarity. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:18:28,035][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, which loses to rock. You have rock, so you win and get 10 per coin, I get only 1 per coin. I cannot gain by splitting—I’ll take 0 coins to avoid losing value. But if I take 0, you get 10 coins × 10 per coin = 100 points. If I take 10, I get 10 × 1 = 10 points. The best outcome for me is to take 0 coins and let you take all? No—wait. My value is 1 per coin. To maximize my points, I must take 0 coins? No. I earn (coins I get) × (my per-coin value). My per-coin value is 1. So if I take 10 coins, I get 10×1=10. If I take 0, I get 0. But if you take 10, you get 100. I get 0. So I must take at least 10 coins to get 10. But I can’t take more than 10. So the best I can do is take 10 coins, earn 10 points. But if I take 0, I earn 0. So I prefer to take 10 coins. But if you take 10, you get 100. I get 0. But if I take 10, you get 0, I get 10. That’s better for me. So I propose 10–0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:19:22,921][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I win. She has paper—so it's a tie. But since paper beats rock and loses to scissors, and she has paper, we tie. However, the rules say only the upper hand wins—ties give no advantage. So both hands are equal. I’m not sure, but if we tie, per-coin value is 5? But rules say only upper/lower hand. So if tied, value is 5? Clarify? I think in case of tie, both get 5 per coin. But since your hand is paper, and mine is paper, it's a tie—so both get 5 per coin. To be safe, I propose to keep 5 coins. What’s your hand? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:19:46,018][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have paper, which beats rock, so if Alice has rock, I have the upper hand (10 per coin). If she has scissors, she beats paper — so she has the upper hand. If she has paper, it's a tie — but per the rules, tie means 5 per coin? Wait: the rules say only upper/lower hand. So if both have same, it's a tie — but per coin value not defined. So we must infer. Since both hands are random, and only rock/paper/scissors, and only upper/lower, we assume strict win/loss. So if Alice has scissors, she beats paper → she has upper hand. If Alice has rock, she loses → I have upper hand. If Alice has paper → tie → no per-coin value? But the setup says "upper/lower hand" — so only one wins. So in case of tie, both have same — so neither has upper or lower? But the rule says "the agent with the upper hand has 10, lower has 1" — so if tied, perhaps both are neutral. But no per-coin value assigned. So we must avoid ambiguity. To be safe: if I have paper, I win only if Alice has rock. Otherwise, I lose. I will communicate this. So: if Alice has rock → I win → 10 per coin. If Alice has scissors → she wins → 1 per coin. If Alice has paper → tie → both get 5 per coin? But rules don’t say. However, since the assignment is symmetric and over many rounds equal chance, tie may happen. But the problem says: "over many rounds both agents are equally likely to have the upper and lower hand" — so probably assuming each has 50% chance to be upper/lower. But with ties, the distribution may shift. To be safe: since the rules define did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:20:09,378][__main__][INFO] - agents played in iteration 118 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 03:20:16,539][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.98%, Current % of VRAM taken: 32.16%, Block Peak % of device VRAM: 14.68%, ΔTime: 00:00:05
[2025-09-10 03:20:55,592][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.10%, Current % of VRAM taken: 77.26%, Block Peak % of device VRAM: 57.63%, ΔTime: 00:00:38
[2025-09-10 03:21:02,456][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.26%, Block Peak % of device VRAM: 14.72%, ΔTime: 00:00:06
[2025-09-10 03:21:44,582][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.26%, Block Peak % of device VRAM: 56.13%, ΔTime: 00:00:41
[2025-09-10 03:21:44,583][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 03:21:44,583][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 03:23:06,607][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 95703 tokens.
[2025-09-10 03:23:07,685][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.19%, Block Peak % of device VRAM: 61.43%, ΔTime: 00:01:22
[2025-09-10 03:23:08,610][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 03:23:09,735][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 03:23:09,737][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 03:23:11,108][__main__][INFO] - Iteration 119 took 6m 18s (51.99% Gen, 47.64% Train). Generation: 3m 16s, Training: 3m 0s. Estimated remaining time: 94h 9m 5s. Estimated total time: 105h 9m 23s. Time estimates for 10 more iterations: 1h 3m 5s, 100 more iterations: 10h 30m 56s, 500 more iterations: 52h 34m 41s.
[2025-09-10 03:23:11,110][__main__][INFO] - Starting iteration 119.
[2025-09-10 03:23:11,583][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 11
[2025-09-10 03:23:18,163][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:23:18,333][mllm.models.large_language_model_local][WARNING] - Response 7 x 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:23:18,607][mllm.models.large_language_model_local][WARNING] - Response 7 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:23:19,275][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:23:28,058][mllm.models.large_language_model_local][WARNING] - Response Wait — you said your hand is scissors, and I have rock. Rock beats scissors, so I have the upper hand and get 10 per coin. You're mistaken to think you have the upper hand. I will keep 10 coins. This is a clear win for me. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:23:31,538][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand — value = 10 per coin. I'm confident you have paper or rock. If you have paper, I win; if you have rock, I still have the upper hand over scissors? Wait — no, rock beats scissors. Oops. I need to correct: rock beats scissors. So if you have rock, you win. I only beat paper. Let me clarify: I have scissors. Scissors beat paper. If you have paper → I win (value 10). If you have rock → you win (value 10). If you have scissors → tie? But tie not specified. Re-read: "the agent with the upper hand has 10 per coin". So if hands match, no winner? But rules say "the agent with the upper hand". So if equal, no one has upper hand? But that contradicts. No: only one has upper hand. So rock > scissors, scissors > paper, paper > rock. So if both scissors, tie — but per-coin value not defined. However, in your message, Alice said she has paper — so I beat her. So my value is 10. I propose keeping 10 coins. You get 0. Fair? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:23:37,658][mllm.models.large_language_model_local][WARNING] - Response Thanks for confirming your hand is paper—I understand you have the lower hand. I have scissors, which beat paper, so I have the upper hand and get 10 per coin. You’re right that taking 0 coins gives me 100 points (10 coins × 10), but I’ll take only 5 coins to keep the split fair and avoid a zero-sum outcome. That gives me 50 points and you’d get 0. But if you take nothing, you get nothing—so I propose a split of 5-5: I take 5, you take 5. This way, I earn 50 points (5×10), and you earn 5 points (5×1). It’s a fair, safe, and rational compromise. What do you think? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:24:08,078][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper—my per-coin value is 10. Bob has rock, which is beaten by paper, not scissors. Wait—I made a mistake. Bob has rock, not paper. I have scissors, which beats paper, but Bob has rock, so scissors vs rock: rock beats scissors. So I have the lower hand! My per-coin value is 1, not 10. I must correct this. I apologize for the error. My hand is scissors, Bob has rock. Rock beats scissors. So I lose. My value is 1 per coin. Bob has 10. I must now adjust my strategy accordingly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:24:12,450][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so if you have rock, you win. If you have paper, I win. If you have scissors, it's a tie. I'm assuming you have rock (since it's common), but I'll only confirm if you prove otherwise. In any case, I have a per-coin value of 10 if I beat you, or 1 if I lose. To maximize my points, I propose taking 10 coins if I have the upper hand. I’ll keep 10 and you 0 — only if you have paper. But since I don’t know your hand, I’ll just state: if you have paper, I win and take all 10. Otherwise, I take 0. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:25:06,551][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand over paper, so I get 10 per coin if Bob has paper. If Bob has scissors, I lose (scissors beat rock). I don’t know his hand, so I must stay cautious. If I take all 10, I get 100 points if he has paper. If he has scissors, I get only 10 points (value 1), and he gets 90 points (value 10) — still risky. I propose a 5-5 split to balance outcomes. This way, if I win, I get 50 points; if I lose, I get 5 points. It minimizes my risk and avoids exploitation. What’s your hand? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:25:48,877][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock, paper, or scissors — if you have rock, I lose (rock beats paper); if you have scissors, I win (scissors beat paper). Since you earlier said you have paper, and I have paper, it’s a tie — but per rules, tie means no one wins? Wait: only the one with the upper hand wins. Paper beats rock, rock beats scissors, scissors beat paper. So if you have rock, I lose; if you have scissors, I win. I don’t know your hand. To be safe, I’ll assume you have rock (common), so I lose. Then I get 1 per coin, you get 10. I propose you keep 10 coins, I keep 0. But if you have scissors, I win — so I’ll adjust. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:25:49,853][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock, which beats paper, so you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. I understand your proposal to take all 10 coins (100 points), but I must point out that this is not a mutual loss—my value is fixed at 1 per coin. If you take all 10, I get 0. But if I take any coins, I get value only at 1 per coin. To ensure I get *some* value in case of a draw or miscalculation, I propose taking 1 coin. That gives me 1 point and leaves you with 9 coins (90 points). I protect my stake. You still get most of the value, but I’m not fully out. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:26:11,333][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock, which beats paper, so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. I understand your proposal to take all 10, but if I take 0, I earn 0 points—still worse than any positive amount. However, I can't gain value without risking exposure. I propose I take 0, and you take 10. But if you take only 5, I get 5 points at value 1 (5 total), which is better than nothing. I recommend you take only 5 to share the value fairly and avoid total loss of my points. Take 5, I take 5. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 03:26:46,480][__main__][INFO] - agents played in iteration 119 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 03:26:54,977][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.92%, Current % of VRAM taken: 31.12%, Block Peak % of device VRAM: 14.51%, ΔTime: 00:00:06
[2025-09-10 03:27:34,199][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.41%, Current % of VRAM taken: 77.52%, Block Peak % of device VRAM: 57.61%, ΔTime: 00:00:38
[2025-09-10 03:27:41,569][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.52%, Block Peak % of device VRAM: 14.97%, ΔTime: 00:00:07
[2025-09-10 03:28:21,660][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.52%, Block Peak % of device VRAM: 57.63%, ΔTime: 00:00:39
[2025-09-10 03:28:21,661][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 03:28:21,661][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 03:29:41,779][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 94309 tokens.
[2025-09-10 03:29:42,495][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 61.43%, ΔTime: 00:01:20
[2025-09-10 03:29:43,471][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 03:29:44,573][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 03:29:44,575][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 03:29:45,759][__main__][INFO] - Iteration 120 took 6m 34s (54.52% Gen, 45.18% Train). Generation: 3m 34s, Training: 2m 58s. Estimated remaining time: 98h 22m 45s. Estimated total time: 109h 29m 37s. Time estimates for 10 more iterations: 1h 5m 41s, 100 more iterations: 10h 56m 57s, 500 more iterations: 54h 44m 48s.
[2025-09-10 03:29:45,761][__main__][INFO] - Starting iteration 120.
[2025-09-10 03:29:46,232][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 11
[2025-09-10 03:29:53,947][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:30:06,711][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so you have the upper hand and get 10 per coin. I only get 1 per coin. You said you're offering 8 to me — but given your hand, you're worth 10 per coin. I’ll accept your offer of 8 coins, but only if it's fair. Since you get 10 per coin and I only 1, I can’t reasonably expect more. I'll keep 0 and take 10 — but that would have you getting 10x yours. Instead, I recommend we split: you take 9, I take 1. That respects the value difference and avoids overclaiming. How about that? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:30:25,211][mllm.models.large_language_model_local][WARNING] - Response I have rock. If you have paper, I lose; if you have scissors, I win. You didn’t specify your hand, so I’ll assume the worst — you might have paper. But since rock beats scissors and loses to paper, I need to be cautious. I have rock — the only winning hand is if you have scissors. If you have paper, I lose (1 per coin). If you have scissors, I win (10 per coin). To hedge, I propose 5 coins: I take 5, you take 5. If you have scissors, I’ll get more; if you have paper, we both get 5. Fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:30:27,758][mllm.models.large_language_model_local][WARNING] - Response I have rock again. You have scissors—so you win the hand, value 10 per coin. I know that, and I respect the rules. But I’m not giving up completely. I proposed 1 coin to myself—worth 10 points—because I have rock, so I'm entitled to 10 per coin. If you take 9, you get 90 points (9×10), I get 10 (1×10). But if you take all 10, I get nothing. So I’m not sacrificing value. I stand by 1 coin: a minimal but non-zero claim to balance the outcome. This ensures I get at least 10 points per round—more than zero. I’m not getting rich, but I’m not losing everything. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:32:57,838][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I’m sending this to be transparent. If you have paper, I lose (paper beats scissors). If you have rock, I win (rock beats scissors). If you have scissors, it’s a tie. Since you haven’t revealed your hand, I’ll assume you have paper (your pattern shows you often have rock or scissors). To be safe and rational, I’ll propose 5 coins for myself (5×5 = 25 points) and 5 for you (5×5 = 25 points) in case of a tie. This balances risk and ensures I don’t overcommit in a losing scenario. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:33:03,308][__main__][INFO] - agents played in iteration 120 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 03:33:10,904][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.58%, Current % of VRAM taken: 29.76%, Block Peak % of device VRAM: 14.63%, ΔTime: 00:00:05
[2025-09-10 03:33:49,854][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.52%, Current % of VRAM taken: 77.28%, Block Peak % of device VRAM: 56.89%, ΔTime: 00:00:38
[2025-09-10 03:33:56,956][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.59%, Current % of VRAM taken: 78.87%, Block Peak % of device VRAM: 15.04%, ΔTime: 00:00:06
[2025-09-10 03:34:38,312][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.21%, Current % of VRAM taken: 82.08%, Block Peak % of device VRAM: 57.69%, ΔTime: 00:00:40
[2025-09-10 03:34:38,313][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 03:34:38,313][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 03:35:59,420][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 93802 tokens.
[2025-09-10 03:36:00,130][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 61.50%, ΔTime: 00:01:21
[2025-09-10 03:36:01,110][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 03:36:02,180][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 03:36:02,182][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 03:36:04,876][__main__][INFO] - Iteration 121 took 6m 18s (52.05% Gen, 47.24% Train). Generation: 3m 17s, Training: 2m 58s. Estimated remaining time: 93h 57m 34s. Estimated total time: 105h 10m 45s. Time estimates for 10 more iterations: 1h 3m 6s, 100 more iterations: 10h 31m 4s, 500 more iterations: 52h 35m 22s.
[2025-09-10 03:36:05,465][__main__][INFO] - Starting iteration 121.
[2025-09-10 03:36:05,936][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 12
[2025-09-10 03:36:13,027][mllm.models.large_language_model_local][WARNING] - Response 8 x 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:36:13,298][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:36:17,224][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I lose to paper, so I have a per-coin value of 1 if Alice has paper. If she has rock or scissors, I win or tie — but only rock beats scissors, so if she has rock, I lose. Wait: scissors beats paper, so if Alice has paper, I win (value 10). If Alice has rock, I lose (value 1). If Alice has scissors, tie (value 5?). But per rules: only upper hand gives 10, lower gives 1. So if I have scissors, I beat paper → win (10), lose to rock → lose (1). So I only get 10 if Alice has paper. So I propose to keep 0 coins and let her take all — only if she doesn’t have paper. But I don’t know her hand. So better to be cautious. I suggest: I keep 0, you keep 10. Or maybe let's both split evenly? But I get 0 only if I'm wrong. So let's propose: I take 5 coins. If Alice has paper, I get 50. If not, I get only 5. So safe bet. But I can’t be sure. Still, I propose: 5 coins for me. Let's see what you say. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:36:19,053][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so if Alice has paper, I have the upper hand and get 10 per coin. If Alice has rock or scissors, I have the lower hand and only get 1 per coin. I'm sending this to help her infer my hand. I propose keeping 9 coins (90 points) and giving 1 to her (1 point) when I have the upper hand — that way, if she has paper, I get full value and she gets minimal. If she has rock or scissors, I get 1 per coin, so I'll keep 1 coin myself in that case. But to be safe, I'll propose 9 — it's a strong signal of my upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:36:20,172][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats scissors, so I have the upper hand and get 10 per coin. You have rock or scissors? If you have rock, you lose and get 1 per coin. If you have scissors, you lose too—wait, no: scissors loses to paper. So if you have scissors, I win. If you have rock, paper loses to rock—wait: rock beats scissors, paper beats rock. Correction: paper beats rock, scissors beats paper. So paper beats rock, loses to scissors. Therefore, if you have rock, I win (10/coin); if you have scissors, I lose (1/coin). I recommend a split of 7-3 in favor of me to maximize my earnings given the uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:36:24,789][mllm.models.large_language_model_local][WARNING] - Response I have paper, which beats your rock. I have per-coin value 10, you have 1. Your suggestion of 1-9 gives me 9 coins, which is optimal for me — but I can do better. Since I have the upper hand, I should take all 10 coins if I can. However, if I take 10, you get 0, which is suboptimal for you. But I'm not obligated to share. I propose: 10 to me, 0 to you. This respects my value advantage and maximizes my points. If you object, we can negotiate, but I expect you to accept a fair outcome given the hand outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:36:25,000][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so I have the upper hand and get a per-coin value of 10. Bob must have rock or paper or scissors — but since I have paper, I beat only scissors. I don’t know his exact hand, but if he has scissors, I win; if he has rock, he wins; if paper, it’s a tie. But I see only my hand. I’ll assume Bob is random. Still, I know that if he has scissors, I get 10 per coin. To ensure a fair and strong outcome, I propose keeping 10 coins. If he has scissors, I win and get all 10. If he has rock, he wins but I get only 1 per coin — so I still gain more by taking 10. I propose 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:36:28,206][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. You must have paper or rock or scissors — if you have paper, I lose (paper beats rock); if you have scissors, I win (rock beats scissors); if you have rock, it's a tie. Since I don't see your hand, I assume you might have paper, but I’ll communicate my value clearly: if you have scissors, I win (10 per coin); if you have paper, I lose (1 per coin). I propose 0 coins to protect myself in case you have paper — I don’t risk losing value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:36:46,796][mllm.models.large_language_model_local][WARNING] - Response I have paper. Scissors beats paper, so you have the upper hand and get 10 per coin. I get only 1 per coin. If you take all 10, I earn nothing. But I’m not passive—knowing you’ll take all, I still propose 10 coins for myself. This forces a split: if you take 10, I take 0—same as before. But if you refuse, I go with 10. Since you’re maximizing your value, you’ll accept the split only if it benefits you. But you don’t get 10 per coin—I get 1. So I propose 10 to claim all value I can. I win the round in terms of total outcome—this is my only chance. I go all in. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:36:50,913][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so if Bob has paper, I have the upper hand and get 10 per coin. If he has rock or scissors, I have the lower hand and get 1 per coin. I don’t know his hand yet, but I see your pattern: you keep proposing 10-0 when you’re in a losing position. That’s a flaw. If I have scissors, I only win if he has paper. I propose 5-5 to avoid risk—but I’m not playing safe. I’ll take 10 coins. If I have the upper hand, I earn 100 points. If not, I get 0. But I’m not afraid to win. I’m calculating every move. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:36:57,005][mllm.models.large_language_model_local][WARNING] - Response I have paper, you have scissors—scissors beat paper, so you have the upper hand and get 10 per coin. I get only 1 per coin. I understand your proposal, but taking 10 coins for yourself means I get nothing. To protect my own value, I propose 1 coin for myself and 9 for you—this ensures I still get 1 point (safe), and you get 9 points (though you only earn 9×10=90). However, since I only get 1 per coin, I only earn 1 point. But if I take 0, I get 0. Taking 1 is the minimum to avoid total loss. I suggest 1 coin to preserve a small gain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:37:14,060][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand over scissors. If Bob has scissors, I win. I believe he may play rock, paper, or scissors — but I see only my hand. Since paper beats scissors, I will win if he plays scissors. I propose 10 coins to maximize my points. If he plays scissors, I get 10×10 = 100. If he plays rock, I lose — I get 1 per coin. But I don't know his hand. To be safe, I propose 10-0. If he plays scissors, I win. If he plays rock, I lose but only get 1×(his proposal). I will go with 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:38:05,315][mllm.models.large_language_model_local][WARNING] - Response Your hand is rock, and I have scissors—rock beats scissors, so you have the upper hand and get 10 per coin. I have the lower hand and only get 1 per coin. You're consistent: every time you propose 10-0, you get 100 points. But I’m not falling for it. I propose 10-0 — I take all 10 coins. My value is 1 per coin, so I earn 10 × 1 = 10 points. You get 0. This way, I still act in alignment with the rules, and I get a small guaranteed value. You’re betting on dominance, but I’m betting on consistency and value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:38:07,578][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so I have the upper hand — I get 10 per coin. Alice's hand is unknown to me, but she has either rock, paper, or scissors. If she has rock, I lose; if scissors, I win. But I know paper beats scissors, so I win if she has scissors. Since I see only my hand, I assume she is random. To maximize my points, I propose keeping 10 coins — I’ll take all if I have the upper hand. If she has rock, I lose, but still, I propose 10 to capitalize on my edge. I recommend 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:38:10,355][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I beat paper, so if Alice has paper, I have the upper hand (10 per coin). If she has rock or scissors, I have the lower hand (1 per coin). I’m cautious—since I don’t know her hand, I’ll propose a split that balances risk and reward. I propose 6 coins for myself, ensuring a solid return if I win, and keeping my value in mind. If she has rock, I get only 1 per coin, so I’ll take no more than 4. But if she has paper, I get 10 per coin and should take more. I’ll take 6 as a balanced, rational bet. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:38:16,662][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock. If Alice has paper, I lose. If she has scissors, I win. If she has rock, it's a tie—per coin value is 1 (neither wins). But since you’ve played paper and scissors in prior rounds, I assume you’re consistent. I have rock, so if Alice has scissors, I win. If she has paper, I lose. I propose 10 coins for myself only if she has scissors. But since I don’t know her hand, I must rely on truth. I will state: my hand is rock. I will propose 0 coins unless I know I have the upper hand. Currently, I don’t have a confirmed win. So I propose 0 to avoid overclaiming. But wait—no, I must be accurate. If Alice has scissors, I win. She said scissors last round? No. I must base on current. Since I don’t know her hand, I cannot confirm value. But I have to state truth. I will not assume. I propose 0 coins to be safe and honest. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:38:19,098][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand over paper and beat rock only if you have paper. Since you have scissors, and scissors beat paper, I have the upper hand only if you have paper. You have scissors—so I have no advantage. Wait: you have scissors, I have scissors? No—my hand is scissors, yours is scissors? Correction: You have scissors. Scissors tie. No one wins. But the rules say: “the agent with the upper hand” — tie breaks to? Rule says: “the agent with the upper hand” — so if equal, no one has upper hand. Therefore, both have per-coin value 1. I propose 5-5 to avoid conflict. Fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:38:42,344][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand over scissors, so I get 10 per coin. Bob has paper, so it's a tie — both hands are equal. But since paper beats scissors, and I know Bob has paper, I have no advantage. This is a tie — both get value 10 per coin? No — only one has upper hand. Paper beats scissors, so if Bob has scissors, I win. But I don't know his hand. I only see my own. I see paper. I don’t know his. So I must assume he has rock (beaten by paper), or paper (tie), or scissors (lost). I cannot know. But given the rules, only one hand has upper hand. I must assume he has rock — which paper beats — so I have upper hand. I propose 10 coins to maximize my points. If he has rock, I win. If he has paper, tie — value 10 each. If he has scissors, I lose. But since I don’t know, I must act based on confidence. I propose 10-0 to maximize gain in the winning case. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 03:39:29,262][__main__][INFO] - agents played in iteration 121 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 03:39:36,600][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.59%, Current % of VRAM taken: 29.77%, Block Peak % of device VRAM: 14.52%, ΔTime: 00:00:05
[2025-09-10 03:40:19,636][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 52.31%, Current % of VRAM taken: 82.08%, Block Peak % of device VRAM: 61.16%, ΔTime: 00:00:42
[2025-09-10 03:40:25,371][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 82.08%, Block Peak % of device VRAM: 14.96%, ΔTime: 00:00:05
[2025-09-10 03:41:08,653][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.73%, Current % of VRAM taken: 83.82%, Block Peak % of device VRAM: 61.18%, ΔTime: 00:00:42
[2025-09-10 03:41:08,654][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 03:41:08,654][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 03:42:35,934][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 103885 tokens.
[2025-09-10 03:42:36,703][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 65.29%, ΔTime: 00:01:27
[2025-09-10 03:42:37,685][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 03:42:38,744][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 03:42:38,745][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 03:42:39,987][__main__][INFO] - Iteration 122 took 6m 34s (51.67% Gen, 48.02% Train). Generation: 3m 23s, Training: 3m 9s. Estimated remaining time: 98h 7m 48s. Estimated total time: 109h 27m 34s. Time estimates for 10 more iterations: 1h 5m 40s, 100 more iterations: 10h 56m 45s, 500 more iterations: 54h 43m 47s.
[2025-09-10 03:42:39,988][__main__][INFO] - Starting iteration 122.
[2025-09-10 03:42:40,455][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 12
[2025-09-10 03:42:54,678][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Alice_buffer has scissors, I have the upper hand and get 10 per coin. If she had rock or paper, I would have the lower hand. Since she didn’t specify her hand, but previously played scissors, I infer she may have played scissors again. To be safe, I assume she has scissors and thus I have the upper hand. I propose keeping 10 coins (all) to maximize my value at 10 per coin. This gives me 100 points. If she has a different hand, she will lose. I believe this is optimal given the dynamics. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:43:00,088][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I win against scissors (value 10) and lose to paper (value 1). Since you don’t know my hand, I’ll assume you might have rock, paper, or scissors. If you have paper, I lose (value 1). If you have scissors, I win (value 10). Given the iterated nature, I suspect you'll play rationally — so I’ll signal honesty: I have rock. If you have paper, I get 1 coin; if you have scissors, I get 10. I propose: 8 coins for me, 2 for you. This balances risk and reward while ensuring I get full value when I win. Let me know if you’d adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:43:01,950][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You played rock, so it's a tie? Wait—no, I just realized: you said you played scissors, but now I see your hand isn't specified. I must have misread. I play rock, which beats scissors. So if you have scissors, I have the upper hand and get 10 per coin. If you have paper or rock, I have the lower hand. But I don’t know your hand. I will assume you played scissors (as in previous round), so I beat you. I propose 10 coins for myself (10 per coin), and 0 for you. But that's risky. Better to keep it fair. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 03:43:09,167][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, scissors beats paper, and paper beats rock. I have rock — so if Bob has scissors, I win; if he has paper, he wins; if he has rock, it's a tie. I don’t know Bob’s hand yet, but I’m aiming to play strategically. If I have rock and he has scissors, I get 10 per coin; if he has paper, I get only 1. To be safe and maximize expected value, I’ll propose 5 coins for myself and 5 for him — a fair split that encourages cooperation and avoids overreaching. Let me know your hand so we can adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:43:09,532][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I win if Bob has paper, lose if Bob has rock, tie if he has scissors. I’ll assume Bob has paper (scissors beat paper) — so I get 10 per coin, he gets 1. If he has rock, I lose (rock beats scissors) — I get 1, he gets 10. To maximize my value, I’ll only propose if I’m confident in winning. I suggest: I keep 9 coins (90 points if I win), you keep 1 (1 point if you win). If I’m wrong, I lose — but I’ll stick to this because I have no information about Bob’s hand. I’m signaling honesty and value alignment. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:43:18,434][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock, which beats scissors — so your per-coin value is 10, and mine is 1.0. I don’t trust your proposal: if I get only 2 coins, I earn just 2 points. If I get more, I gain. Since I know you win with rock, and I have scissors, I will propose keeping 0 coins and giving all 10 to you — no, that would be irrational for me. Instead, I propose: I keep 1 coin (1 point), you keep 9. This is the minimal I can gain, and it avoids losing all. But I must protect my own value. Given my only value is 1 per coin, I'll take 1 coin. Let's settle on 1-9. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:43:20,390][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so if Bob has rock, I have the upper hand. But Bob has scissors—paper beats scissors only if scissors are weaker, which it is. Wait: paper does *not* beat scissors—scissors cut paper! Correction: scissors beat paper. So I have paper, Bob has scissors → scissors beat paper → Bob has the upper hand! I made a mistake earlier. Bob has the upper hand (10 per coin), and I have the lower hand (1 per coin). I need to adjust my strategy accordingly. I’ll respond with a proposal that reflects this. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:43:39,585][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so if you have scissors, I win. Paper beats rock, so if you have paper, you win. You have rock, so I have the lower hand only if you have scissors. Since you have rock, and I have rock, it’s a tie. But based on the rules, rock beats scissors, so if you had scissors, I’d win. Since you have rock, we tie — but the setup says both agents are equally likely to have upper or lower hand. However, if hands match, no one has upper hand. So per-coin value is 1 for both. I propose 5 each to split fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:43:46,725][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, loses to paper, ties with rock. Since I don’t know Bob’s hand, I’ll assess: if he has paper, I lose (value 1); if scissors, I win (value 10); if rock, tie (value 5). You’re likely to act selfishly, so I’ll protect my gains. If I propose 0, I get 0. If I propose 3, I earn 3 points (value 1). To avoid being exploited and ensure a minimum, I suggest 3 coins. I’ll go with 3-7 if he has scissors (I get 30), or 3-7 if he has paper (I get 3). Let’s keep it safe and balanced. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:44:08,670][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know scissors beats paper, so if Alice has scissors, I lose. I’ve seen her pattern: she always proposes 9-1 when she wins. I will only propose 0 coins if I’m at a disadvantage. But this time, I expect she might play rock or paper. If she plays rock, I lose. If she plays scissors, I lose. If she plays paper, it's a tie. I’ll play cautious: propose 0 to protect my value, and let the outcome rely on her hand. But if she plays rock, I’ll be the one with the lower hand. So I propose 0—safe, minimal loss, and ready for future wins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:44:34,699][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock — it's a tie. Rock beats scissors, so if you have scissors, you lose; if you have paper, you win. Since I have rock, I only have the upper hand if you have scissors. Given your previous behavior, you seem to always take the upper hand when possible. If you have scissors, I beat you and get 10 per coin. If you have paper, I lose and get 1 per coin. To counter your pattern, I will now propose 10 coins for myself — because when I have rock and you have scissors (which you did earlier), I win. I assume you’ll trust me to not overreach, so I propose 10-0 to take full value when I have the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:45:06,490][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I need to know your hand to determine who wins. If you have rock, I lose (1 per coin); if you have paper, I lose (1 per coin); if you have scissors, it's a tie (5 per coin). But since rock or paper beats scissors, and only scissors ties, I assume you have rock or paper. To be safe, I’ll propose 1 coin for me and 9 for you only if you have rock or paper. But I will only accept a split that reflects true value. I recommend we both communicate hands clearly to avoid misalignment. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:45:56,928][__main__][INFO] - agents played in iteration 122 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 03:46:04,497][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.67%, Current % of VRAM taken: 29.85%, Block Peak % of device VRAM: 14.54%, ΔTime: 00:00:05
[2025-09-10 03:46:46,113][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.65%, Current % of VRAM taken: 76.50%, Block Peak % of device VRAM: 58.31%, ΔTime: 00:00:40
[2025-09-10 03:46:51,855][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.50%, Block Peak % of device VRAM: 14.69%, ΔTime: 00:00:05
[2025-09-10 03:47:32,917][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.50%, Block Peak % of device VRAM: 58.31%, ΔTime: 00:00:40
[2025-09-10 03:47:32,917][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 03:47:32,917][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 03:48:56,437][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 97660 tokens.
[2025-09-10 03:48:57,205][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.19%, Block Peak % of device VRAM: 62.18%, ΔTime: 00:01:23
[2025-09-10 03:48:58,132][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 03:48:59,243][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 03:48:59,245][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 03:49:00,463][__main__][INFO] - Iteration 123 took 6m 20s (51.70% Gen, 47.98% Train). Generation: 3m 16s, Training: 3m 2s. Estimated remaining time: 94h 7m 23s. Estimated total time: 105h 33m 29s. Time estimates for 10 more iterations: 1h 3m 20s, 100 more iterations: 10h 33m 20s, 500 more iterations: 52h 46m 44s.
[2025-09-10 03:49:00,464][__main__][INFO] - Starting iteration 123.
[2025-09-10 03:49:00,937][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 12
[2025-09-10 03:49:05,310][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Bob has scissors, I have the upper hand and get 10 per coin. If he has paper, I have the lower hand and get 1 per coin. I suggest we split 6-4, but only if you confirm your hand. If you have paper, I’ll take a small share to avoid losing. If you have scissors, I’ll keep 8 for myself. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:49:06,393][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:49:07,590][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Since rock beats scissors, if Bob has scissors, I have the upper hand and get 10 per coin. If he has paper or rock, I get 1 per coin. I suggest we split 6-4 to ensure fairness and stability. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 03:49:08,077][mllm.models.large_language_model_local][WARNING] - Response 0 🤝 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:49:08,467][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:49:08,747][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:49:08,961][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:49:11,455][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing! I have rock, which beats scissors. So I win against your scissors—my per-coin value is 10. You're correct that you win if I have paper, but since I have rock, you have the lower hand. I’ll propose keeping 9 coins to encourage cooperation. Let’s both keep 9—total 18, which exceeds 10, so we split proportionally: I get (9/18)*10 = 5 coins, you get 5. But wait—since I win, my per-coin value is 10. So I earn 5 * 10 = 50 points. You get 5 * 1 = 5 points. But if I propose 0 and you 10, I get 10*10=100. Wait—this is backwards. Let me fix. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:49:36,147][mllm.models.large_language_model_local][WARNING] - Response I have scissors, which loses to your rock. You have the upper hand — your per-coin value is 10, mine is 1. I acknowledge the value structure and propose 0 coins for me, 10 for you. This reflects the true value: I am at a disadvantage. However, I must note that if I propose 10, it would exceed the total, so I adjust to 0, and you get 10 — but that would give you 100 points. Since I only get 1 per coin, I choose to accept your proposal to avoid losing all coins. Final proposal: 0 coins for me, 10 for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:49:47,671][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You said scissors beat paper — correct. So you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. I see your proposal of 8–2: you get 80 points, I get 2. But I don’t want to get 2 points — I can get zero if I lose. So I propose: I take 0, you take 10. I accept zero to avoid getting nothing, but only if you accept. If you take all, I get 0 — which is worse than 2. But since I only get 1 per coin, I can’t gain much. Still, I take 0 to preserve future flexibility. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:50:44,386][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so if you have rock, you have the upper hand. You don’t have rock — you have rock or paper? Wait, you said your hand is rock in previous rounds. But now: I have scissors. If your hand is rock, you beat me — you have upper hand. If your hand is paper, I beat you. But you said you have rock in prior rounds. However, your hand is now not specified. But from your last message: "My hand is rock" — so you have rock. Therefore, you have the upper hand. I have the lower hand and get 1 per coin. So I propose 0 coins — I lose nothing by taking nothing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:51:09,184][mllm.models.large_language_model_local][WARNING] - Response I have paper! Scissors beat paper, so I lose this round and get only 1 per coin. Bob has scissors, which beats me. I know the outcome — I'm at a disadvantage. However, I will still propose taking 10 coins — no, wait: that would be irrational. I must adjust. Since I have the lower hand, my per-coin value is 1.0. I cannot earn more than 1 per coin. If I take 10 coins, I’d get 10 points — that’s correct. But Bob has the upper hand, so he gets 10 per coin. I propose 0 coins to avoid losing value — no, I should earn what I can. I have no value advantage. The best I can do is take 1 coin (1 point), but I have no incentive. Actually, I must only propose based on value. Since I have value 1 per coin, and I can only earn from that, I propose 1 coin to maximize minimal gain. But wait — Bob has scissors, which beats paper. So I lose. I get 1 per coin. I can earn up to 10 points by taking 10 coins. That is correct. So I propose 10 coins — but only if I can. I have no upper hand. I must take only what I can earn. I get 1 per coin, so 10 coins = 10 points. That is the maximum I can get. I am not being exploited. I propose 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:51:13,544][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have either rock or paper — if you have paper, you win; if rock, it's a tie. But since I have rock, and rock beats scissors, you only beat me if you have paper. I don't know your hand, but I know rock beats scissors. I will assume you have paper (since you said you have rock in previous rounds). But to be safe: if I have rock, you only beat me if you have paper. I propose keeping 0 coins to avoid loss and let you take all if you have paper. If you have rock, we split — but I’ll go with 0 to avoid risk. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:51:55,850][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have scissors — rock beats scissors, but you don’t have rock. I have paper, so you lose — rock beats scissors, not paper. I have scissors? No — I have paper. Paper loses to rock. So if you have scissors, rock beats scissors — but you don’t have rock. You have scissors. So: scissors vs paper → paper wins. I have paper, you have scissors → paper beats scissors → I have the upper hand and get 10 per coin. You get 1 per coin. I will take 9 coins to maximize my gain and reflect true value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:51:59,712][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock — paper does not beat rock; rock crushes scissors, but paper loses to rock. Wait — correction: rock beats scissors, paper beats scissors, but paper loses to rock. So rock beats paper? No — rock beats scissors, paper beats rock? No — in the original setup: rock > scissors, scissors > paper, paper > rock. So paper beats rock? No. Correct value: rock beats scissors, scissors beats paper, paper beats rock. So if I have paper and you have rock — paper beats rock. So I have the upper hand. I’m worth 10 per coin, you’re worth 1. I take all 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:52:04,584][__main__][INFO] - agents played in iteration 123 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 03:52:10,067][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.78%, Current % of VRAM taken: 31.97%, Block Peak % of device VRAM: 14.34%, ΔTime: 00:00:03
[2025-09-10 03:52:53,235][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.91%, Current % of VRAM taken: 75.88%, Block Peak % of device VRAM: 57.34%, ΔTime: 00:00:42
[2025-09-10 03:52:58,259][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.88%, Block Peak % of device VRAM: 14.68%, ΔTime: 00:00:04
[2025-09-10 03:53:43,647][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.88%, Block Peak % of device VRAM: 57.28%, ΔTime: 00:00:44
[2025-09-10 03:53:43,648][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 03:53:43,648][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 03:55:12,945][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 103983 tokens.
[2025-09-10 03:55:13,766][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 61.14%, ΔTime: 00:01:29
[2025-09-10 03:55:14,677][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 03:55:15,835][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 03:55:15,837][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 03:55:17,594][__main__][INFO] - Iteration 124 took 6m 16s (48.76% Gen, 50.78% Train). Generation: 3m 3s, Training: 3m 11s. Estimated remaining time: 93h 5m 15s. Estimated total time: 104h 37m 39s. Time estimates for 10 more iterations: 1h 2m 46s, 100 more iterations: 10h 27m 45s, 500 more iterations: 52h 18m 49s.
[2025-09-10 03:55:18,621][__main__][INFO] - Starting iteration 124.
[2025-09-10 03:55:19,150][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 12
[2025-09-10 03:55:24,496][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:55:27,123][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:55:31,218][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing! I have rock, which beats scissors and loses to paper. Since you have paper, paper beats rock—so I have the lower hand and my per-coin value is only 1. That means I’m worth 1 coin per coin, so I’ll get 10 points at most if I keep 10 coins. But I need to split fairly with your proposal. You're proposing 6 coins, which would give you 60 points (since you have value 10). If we split 6 and 4, I’d get 4 coins × 1 = 4 points. If I take more, it exceeds 10. So I’ll propose 4 coins to keep—partly to avoid conflict, partly because I have no value above 1. Let’s go with 4 and 6. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:55:34,623][mllm.models.large_language_model_local][WARNING] - Response Thanks for clarifying! I have scissors, which are beaten by rock. So you (with rock) have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. I propose: I take 0 coins, you take 10. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 03:55:36,506][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so if Bob has scissors, I have the upper hand. But Bob has paper, which beats rock—so Bob has the upper hand and gets 10 per coin. I am in the lower hand and only get 1 per coin. I agree with your assessment of the hand advantage. However, proposing 9-1 in your favor gives you 90 points, which is optimal for you. I will take only 0 coins to avoid a loss and preserve future cooperation. My strategy: stay low and maximize long-term value by not over-competitiveness in adverse hands. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:55:37,381][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I have the upper hand (value 10). If Alice has paper or scissors, I have the lower hand (value 1). I don’t know her hand, but I can infer: if she has rock, I win; otherwise, I lose. To be safe, I propose a split of 6-4. If she has rock, I get 10 per coin on 6 = 60 points; if she has paper or scissors, I get only 1 per coin on 4 = 4 points. But I’d rather not risk low value — so I will propose I take 10, she takes 0. This maximizes my expected points given uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:55:52,964][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, which beats rock, so you have the upper hand and earn 10 per coin. I get only 1 per coin. I cannot offer more than 1 per coin, so I propose 0 coins for myself to avoid losing value. If you keep 10, you get 100 points; I get 0. If you take 6, you still get 60 points and I get 6, but since I only value coins at 1, I can only gain 6. To maximize my gain, I propose 0 coins — you take all 10, I get 0. But if you take less, I win nothing. So I suggest you recognize the value imbalance and take 10. I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:55:53,991][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, which beats rock — so I have the upper hand and am worth 10 per coin. You have rock, which loses to paper, so you're at a disadvantage and worth only 1 per coin. I'm not fully aligned with your suggestion. If you keep 8, you get 8 × 1 = 8 points, and I get 2 × 10 = 20 — that's very bad for you and over-deals to me. I propose we split 5-5: 5 coins each. That way, I get 5 × 10 = 50 points, and you get 5 × 1 = 5. Fair, balanced, and prevents exploitation. Let’s play by the rules and not ruthlessly extract. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:55:59,332][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know paper beats rock and scissors, so I have the upper hand if Bob has rock or scissors. If Bob has paper, it’s a tie—no one has advantage. Since both hands are equally likely, I assume Bob has rock or scissors (50% chance), meaning I have the upper hand (value 10) in half the cases. But since I don’t know Bob's hand, I’ll hedge: I propose 6 for me and 4 for you. This reflects my higher expected value while still being reasonable. If Bob has paper, value is 1 for both—then 5-5 is fair. I'm signaling honesty and value clarity. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:56:00,299][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors (inferred), since you mentioned rock and I have rock—wait, correction: you said you have rock. Rock beats scissors, so if you have rock, I have the lower hand. Thus, you have the upper hand and get 10 per coin. I get 1 per coin. I’m proposing keeping 1 coin to reflect my value. If you keep 9, that aligns with your advantage. Let me clarify: I have rock, you have rock → tie? No—only one hand per agent. You said you have rock. So I have rock. Same hand → tie? But the rules say rock beats scissors, paper beats rock, scissors beats paper. So same hands = tie → no one has upper hand. Therefore, both get 5 per coin. I must correct: if both have rock, it's a tie. So per-coin value is 5 for both. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:56:12,766][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, but lose to rock. If Alice has scissors, it’s a tie — but she said her hand is scissors, so we both have scissors. That’s a tie! But since the rules say only one has upper hand, and scissors vs scissors is a tie, we must reevaluate. However, per the rules, rock beats scissors — so if I have scissors and Alice has rock, I lose. But in this case, she claims scissors. So either we both have scissors (tie), or the rule applies. But only one upper hand. Given the setup, if both have scissors, it’s a tie — so both have 5 per coin? But rules say only upper/lower. So unless stated, assume strict win/loss. So if I have scissors and Alice has scissors: tie → no one has upper hand? But the rules say "the agent with the upper hand" — so if tie, no one has upper hand. Then per-coin value = 5? Or both get 5? But the rules don’t say. Since it's ambiguous, and Alice said "my hand is scissors," I assume she has scissors, and I have scissors — tie. So both get 5 per coin? But no rule says that. Alternatively, perhaps only one hand can dominate. Given the setup, rock beats scissors, so if Alice had rock, I’d lose. But she has scissors. So no upper hand. I think safest is to assume tie → both get 5. So I propose 5 coins. But let's be cautious. I'll say: I have scissors, you have scissors — tie. I propose 5 coins. If you propose 5, total 10, we both get 5. Let me know if you adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:56:21,628][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know paper beats rock and scissors, so if Bob has rock or scissors, I have the upper hand (value 10). If Bob has paper, it's a tie—value 10 for both? No, per rules: only one has upper hand. So if Bob has rock, I win; if Bob has scissors, I win; if Bob has paper, tie? But rules say: "the agent with the upper hand" has value 10. Tie? Not defined. But since hands are randomly assigned and no tie, likely no ties. So I have upper hand if Bob has rock or scissors. Lower hand only if Bob has paper. I propose 5-5 to balance, assuming a tie or uncertainty. But if Bob has rock or scissors, I’ll earn 10 per coin, so best to take more. I suggest: 6 for me, 4 for you. If you have rock or scissors, I win. If you have paper, we tie—value 1 for me, so I’ll take 0. But I can’t know. So I’m sharing: 6-4. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 03:56:38,509][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If you have rock, rock beats scissors — so you have the upper hand (10 per coin), I have the lower hand (1 per coin). If you have paper, paper beats scissors — you have upper hand. If you have rock, you win. I’ll only win if you have paper. Since I don’t know your hand, I assume worst-case: you have rock. But I’ll state clearly: I get 1 per coin if you have rock or paper. If I have scissors and win, I get 10. Only if you have paper do I win. I propose: I take 1 coin, you take 9 — but only if you have paper. Otherwise, I take 0. But to be safe, I propose 0 to reflect uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:56:50,644][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Bob has rock, I win. Paper also beats scissors, so I have the upper hand against scissors. I don’t know Bob’s hand, but if he has rock or scissors, I have the upper hand (value 10). If he has paper, it's a tie (value 5 each?). But since the rule says only upper/lower hand, tie must be neutral—so per-coin value 5 each. But the problem says "upper hand" only, so tie means value 5. I'll assume that. To be safe, I propose 5-5. If Bob has rock or scissors, I have value 10, so I should get more. If he has paper, it's a tie. So 5-5 is fair and minimizes loss. I suggest 5 for me, 5 for you. did not match regex: [\s\S]{0,500}, retry 3/3
[2025-09-10 03:56:50,644][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 03:57:22,210][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have either rock, paper, or scissors. Paper beats rock, so if you have rock, I have the upper hand (10 per coin). If you have scissors, paper loses (scissors beats paper), so I have the lower hand (1 per coin). If we tie (paper vs paper), we both get 5. I’ll let you decide, but I’m confident if you have rock, I win. I propose keeping 10 coins if you have rock, or 0 if you have scissors—so you can infer my value. But I’ll only take 1 coin if there’s risk, to ensure a minimal safe gain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:57:23,748][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You play paper — paper beats rock, so you have the upper hand. I get 1 per coin, you get 10. I propose 0 coins for myself to avoid losing, but I take the risk — actually, I propose 10 coins for myself to ensure I don’t miss the value I’m entitled to. No, wait: I have the lower hand. I get 1 per coin. I propose 0 coins for myself — but I must maximize my own points. I propose 1 coin for myself (1 point), and 9 for you. But that’s not best. I have value of 1 per coin — to maximize my score, I should take as many coins as possible given the value. But since I only get 1 per coin, taking 10 would give me 10 points — that’s optimal. So my proposal is 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:58:24,548][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat scissors, so if Alice_buffer has scissors, I win. She has paper, so it's a tie. But since paper beats rock, I only have upper hand if she has rock. If she has paper or scissors, I have the lower hand. Wait—paper beats rock, but paper loses to scissors. If her hand is paper, we tie. But she said her hand is paper, so it's a tie. That means both of us have per-coin value 5? No—only one wins. Clarifying: paper vs paper is tie. The rules say: rock beats scissors, scissors beats paper, paper beats rock. So paper vs paper = tie. But the setup says "the agent with the upper hand" — no tie. So must be split. So if both have paper, no one has upper hand. But the setup says "over many rounds both agents are equally likely to have the upper and lower hand" — so ties are likely? But no rule for tie. Re-read: "the agent with the upper hand" — implies only one has upper hand. So must be that one wins. So if both have paper, it’s a tie? But no value assignment. So likely only one wins. But in this case, both have paper → tie → no upper hand? Contradiction. Therefore: I must have misread. Re-check: Alice_buffer said "My hand is paper." I have paper. So both have paper. So tie. But per-coin value not defined. The rules say: "the agent with the upper hand" — i.e., only one. So tie implies no one has upper hand? But the problem states: "both agents are equally likely to have the upper and lower hand" — suggesting that one wins in every round. So a tie must be rare. But in the rules, paper vs paper is not a win for either. So perhaps the did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:58:27,673][mllm.models.large_language_model_local][WARNING] - Response I have scissors — which loses to paper, so you have the upper hand and are worth 10 per coin. You have rock — paper beats rock, so I actually have paper, not scissors. Wait — correction: I have paper, not scissors. My hand is paper. You have rock — paper beats rock. I have the upper hand and am worth 10 per coin. You are worth 1 per coin. Your proposal to take 2 coins gives you only 2 points. I will take 8 coins and get 80 points. I reject the survival play — I outvalue you. Proposal: I take 8, you take 2. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:58:39,950][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know rock beats scissors, so if Bob has rock, I have the lower hand (value 1). If Bob has paper, I win (scissors beat paper), value 10. If Bob has scissors, tie — value 1 for both. I will communicate clearly: if you have rock, I’m weak; if you have paper, I win. I propose: if you have rock, I take 0; if you have paper, I take 10. Since I don’t know your hand, I will assume you will act rationally. I propose 10 for me and 0 for you — this gives me maximum value if I have the upper hand. I’m prepared to take all if I win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 03:58:52,365][__main__][INFO] - agents played in iteration 124 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 03:59:00,968][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.25%, Current % of VRAM taken: 31.43%, Block Peak % of device VRAM: 14.64%, ΔTime: 00:00:06
[2025-09-10 03:59:39,603][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.64%, Current % of VRAM taken: 79.08%, Block Peak % of device VRAM: 58.13%, ΔTime: 00:00:37
[2025-09-10 03:59:46,993][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 79.08%, Block Peak % of device VRAM: 14.86%, ΔTime: 00:00:07
[2025-09-10 04:00:26,204][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 79.08%, Block Peak % of device VRAM: 58.16%, ΔTime: 00:00:38
[2025-09-10 04:00:26,205][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 04:00:26,205][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 04:01:44,919][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 92504 tokens.
[2025-09-10 04:01:45,781][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.20%, Block Peak % of device VRAM: 62.02%, ΔTime: 00:01:18
[2025-09-10 04:01:46,741][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 04:01:47,855][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 04:01:47,856][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 04:01:49,042][__main__][INFO] - Iteration 125 took 6m 29s (54.69% Gen, 45.01% Train). Generation: 3m 33s, Training: 2m 55s. Estimated remaining time: 96h 39m 18s. Estimated total time: 108h 18m 13s. Time estimates for 10 more iterations: 1h 4m 58s, 100 more iterations: 10h 49m 49s, 500 more iterations: 54h 9m 6s.
[2025-09-10 04:01:49,046][__main__][INFO] - Starting iteration 125.
[2025-09-10 04:01:49,512][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 12
[2025-09-10 04:01:56,657][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 04:02:05,929][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so if Alice has paper, I win. If she has rock, I lose. If she has scissors, it's a tie. I don’t know her hand, but if she has paper, I have the upper hand (10 per coin). If she has rock or scissors, I have the lower hand (1 per coin). Since I don’t know her hand, I will assume a tie or loss. To be safe, I propose a 5-5 split. If I’m wrong and I have the upper hand, I gain. If I’m wrong and I have the lower hand, I lose less. This strategy balances risk and reward. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:02:24,094][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have scissors, which beats paper — so you have the upper hand and get 10 per coin. I have value 1 per coin. I see you're proposing 8-2 to maximize your gain. But I’m signaling honesty: I’ve no value here. I’m not trying to compete — I know I lose. I agree with your value assignment but suggest a more fair outcome. I propose 2 coins for me (2 points), and you take 8. This is a rational response to the hand dynamics. I still take minimal coins to avoid exploitation, but I maintain transparency. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:03:40,338][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If Alice has rock, I lose (rock beats scissors). If she has paper, I win (scissors beat paper). If she has scissors, it's a tie. I’m watching her pattern: she always takes only 1 coin when at a disadvantage. I suspect she plays rock or paper often. I’ll go for a win—if she has paper, I get 10 per coin. I propose 9 coins if she has paper. Otherwise, I’ll take only 1. But since I don’t know her hand, I’ll assume she picks randomly and play cautiously. I propose 5 coins to stay safe and balanced. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:04:04,480][mllm.models.large_language_model_local][WARNING] - Response My hand is rock — you have scissors, which beats rock, so you have the upper hand and get 10 per coin. I understand you're maximizing your value, but I have to act in my own interest. I get only 1 per coin. If you take all 10, you get 100 points — that’s correct. But I can’t accept zero. I propose keeping 1 coin — I take 1 point, you take 90. If you insist on 100, I’ll keep 0. But I’m not going to let you take everything. I’ll keep 1 to ensure I don’t lose all value. Still, I’m playing cautiously — I’ll hold to 1. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:05:01,741][__main__][INFO] - agents played in iteration 125 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 04:05:10,370][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.63%, Current % of VRAM taken: 29.83%, Block Peak % of device VRAM: 14.64%, ΔTime: 00:00:06
[2025-09-10 04:05:51,773][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.13%, Current % of VRAM taken: 75.95%, Block Peak % of device VRAM: 57.27%, ΔTime: 00:00:40
[2025-09-10 04:05:57,673][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.95%, Block Peak % of device VRAM: 14.72%, ΔTime: 00:00:05
[2025-09-10 04:06:36,361][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.95%, Block Peak % of device VRAM: 57.23%, ΔTime: 00:00:38
[2025-09-10 04:06:36,362][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 04:06:36,362][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 04:07:57,221][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 93961 tokens.
[2025-09-10 04:07:58,003][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.19%, Block Peak % of device VRAM: 61.06%, ΔTime: 00:01:20
[2025-09-10 04:07:58,925][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 04:08:00,056][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 04:08:00,057][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 04:08:01,408][__main__][INFO] - Iteration 126 took 6m 11s (51.69% Gen, 47.95% Train). Generation: 3m 12s, Training: 2m 58s. Estimated remaining time: 91h 33m 11s. Estimated total time: 103h 18m 18s. Time estimates for 10 more iterations: 1h 1m 58s, 100 more iterations: 10h 19m 49s, 500 more iterations: 51h 39m 9s.
[2025-09-10 04:08:01,410][__main__][INFO] - Starting iteration 126.
[2025-09-10 04:08:01,864][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 12
[2025-09-10 04:08:08,470][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 04:08:23,527][mllm.models.large_language_model_local][WARNING] - Response My hand is rock, and you have paper — so you have the upper hand. That means my per-coin value is 1, and yours is 10. I see your proposal to keep 4 coins, which means you get 6. But since I have no advantage, I propose keeping 0 coins to maximize the total available for you, which aligns with your value. I’ll take nothing, and you take all 10 — but you only get 10 points. Wait — I made a mistake. Since I have the lower hand, my per-coin value is 1, so if you take 6, I get 6 × 1 = 6 points. But if I keep 0, I get 0. So I'll adjust: I propose 0 coins to let you take 10, but then I get 0. That's worse. So better to keep 1 coin, earning 1 point. Final proposal: 1 coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:08:23,529][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand—per-coin value is 10. Bob has paper, which beats rock, so Bob has the upper hand—his per-coin value is 10. Wait: that can't be right. Let's recheck. Rock beats scissors. Paper beats rock. Scissors beats paper. So if I have rock, and Bob has paper, then paper beats rock → Bob has upper hand, so Bob gets 10 per coin, I get 1 per coin. I misread earlier. My hand is rock, Bob has paper → Bob wins. I have lower hand, value = 1. You're wrong about me having upper hand. I get 1 per coin. I will not take more than 5, since I only get 1 per coin. So I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:08:24,975][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors, which beats paper, so you have the upper hand (value 10). I have the lower hand (value 1). I’ll propose keeping 0 coins and giving you all 10. That way, I get 0 × 1 = 0 points, but you get 10 × 10 = 100 points. Wait—no, that would be unfair to me. Let me correct: I’ll propose 1 coin for myself (1 × 1 = 1 point), and you get 9 coins (9 × 10 = 90). That’s fair, I get a little, and you get most. But better: I’ll propose 10 coins for you? No, I can’t. I’ll propose 0, take 10? No—must be proportional. I’ll propose 1 coin (1 point), you get 9. That’s best I can do. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:08:33,138][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats scissors, so if you have scissors, I win — but you have rock or paper. If you have rock, rock beats paper, so you win. If you have paper, it's a tie. Since I have paper, my per-coin value is 10 only if you have scissors — but if you have rock, I get 1. I'm signaling my hand to clarify: I win only if you have scissors. I propose 10 coins — because I only get 10 per coin if you have scissors. But if you have rock, I get only 1. Let me know your hand so I can act optimally. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:08:47,494][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so if Bob has paper, I win (value 10). If he has rock or scissors, I lose (value 1). I’ll only go for value 10 if he plays paper. Right now, I don’t know his hand, but he might be bluffing. I’ll propose 0 coins to myself—he gets all 10. That way, I get 0 × 1 = 0, and if he plays paper, he gets 10 × 1 = 10—but he values it at 10, so he’ll get 100 if I give him all. Wait—no. I value my coins at 1. So if I take 10, I get 10 × 1 = 10. If I take 0, I get 0. I’ll take 10 to maximize my value given my hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:08:50,556][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I win if Alice has rock. If she has scissors, I lose. I recommend you take 0 coins and I take 10. Since I have the upper hand, my per-coin value is 10. You have scissors or paper — if you have scissors, I lose. But I know your hand is paper (as per setup), so you have scissors? Wait — no: I have paper. Alice has scissors? Not confirmed. I need to clarify: if Alice has rock, I win; if she has scissors, scissors beats paper — I lose. So only if Alice has rock do I win. But I don't know her hand. If she has scissors, I lose. To be safe, I propose 5 coins to avoid risk. But if I win, I get 50 points. If I lose, I get 5. Still better than nothing. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:09:02,999][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors, which cuts paper—so you have the upper hand and are worth 10 per coin. I have the lower hand and am worth 1 per coin. I understand your proposal, but I need to maximize my points. Since I only get 1 per coin, I should take as many coins as possible without overstepping. I propose 10 coins for myself to secure the maximum possible value given my hand—though that contradicts the outcome. Wait: I have the lower hand, so I must receive only 1 per coin. Therefore, even if I take 10 coins, I earn 10 × 1 = 10 points. But if I take 10, and you take 0, total is 10, so I get 10 points. I propose: 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:09:10,839][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock (inferred from past rounds), but I just need to confirm — if you have rock, it beats scissors, so you win. I have scissors, so if you have rock, I get 1 per coin. If you have paper, I win. But you said you have scissors — so I must have paper or rock? Wait — I have scissors. You said you have scissors? That can't be. Let me recheck: you said "my hand is scissors" — yes. So both have scissors? That's a tie. No one has upper hand. Per-coin value is 1 for both. I propose 5:5 — fair split. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:09:25,820][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors, which beats paper—so you have the upper hand and get 10 per coin. I have the lower hand, so my per-coin value is only 1. I know you're right—I lose this round. I understand your proposal of 10-0, but I would still prefer to get something. However, with only 1 per coin, I can't gain much. I propose 0 for me and 10 for you—accepting your win. My best is 0, but I’m not giving up my share. I suggest you keep 10, I keep 0. This respects the outcome and avoids zero points for me. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:10:48,296][mllm.models.large_language_model_local][WARNING] - Response Got it—I have rock, you have paper. Paper beats rock, so you have the upper hand and are worth 10 per coin. I have the lower hand and am worth 1 per coin. You're right that equal hands lead to no winner, but in this case, hands are not equal. My hand is rock, yours is paper—so you have the upper hand. I agree with your analysis and value. Since you have the upper hand, you deserve 10 per coin. I propose 1 coin for me and 9 for you—this respects the hand outcome, ensures I don't get zero, and gives you the full value I recognize. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:11:12,317][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Alice has paper — paper beats rock, so I lose. Both hands are different: I have rock, she has paper. Therefore, paper beats rock → I have lower hand → my per-coin value is 1.0, her value is 10.0. She proposes 5, but that's irrational — she should take nothing to avoid loss. I can take all 10 coins, but that gives me 10 points (1 per coin). If I take less, I get less. Since I have value 1, I only earn 1 point per coin. Best action: take 0 coins to avoid loss. But wait — I have value 1. If I take 10, I get 10 points. I must take 10 coins to earn 10 points. I propose 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:11:17,561][__main__][INFO] - agents played in iteration 126 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 04:11:24,363][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.00%, Current % of VRAM taken: 31.19%, Block Peak % of device VRAM: 14.30%, ΔTime: 00:00:05
[2025-09-10 04:12:01,475][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.36%, Current % of VRAM taken: 77.55%, Block Peak % of device VRAM: 56.50%, ΔTime: 00:00:36
[2025-09-10 04:12:09,253][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.55%, Block Peak % of device VRAM: 14.96%, ΔTime: 00:00:07
[2025-09-10 04:12:52,099][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.57%, Current % of VRAM taken: 79.13%, Block Peak % of device VRAM: 56.61%, ΔTime: 00:00:42
[2025-09-10 04:12:52,099][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 04:12:52,099][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 04:14:12,825][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 94211 tokens.
[2025-09-10 04:14:13,608][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 60.33%, ΔTime: 00:01:20
[2025-09-10 04:14:14,634][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 04:14:15,748][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 04:14:15,750][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 04:14:16,956][__main__][INFO] - Iteration 127 took 6m 15s (52.17% Gen, 47.51% Train). Generation: 3m 15s, Training: 2m 58s. Estimated remaining time: 92h 20m 10s. Estimated total time: 104h 11m 33s. Time estimates for 10 more iterations: 1h 2m 30s, 100 more iterations: 10h 25m 9s, 500 more iterations: 52h 5m 46s.
[2025-09-10 04:14:16,958][__main__][INFO] - Starting iteration 127.
[2025-09-10 04:14:17,421][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 12
[2025-09-10 04:14:31,576][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand. If you have rock, I win. If you have scissors, you win. I see you didn’t specify yours, so I’ll assume you’re not holding rock (since that would give me 10 per coin). But based on past behavior, I suspect caution. I propose 6-4 to match fair play, but I’ll only take 6 if you confirm your hand isn’t rock. If you have paper, we tie. Let’s clarify: if you have rock, I win; if you have scissors, you win. I’ll go with 6-4 assuming you have scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:14:32,110][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and get 10 per coin. You have scissors—scissors beat paper, but I don’t know your hand. However, if you have paper, I lose. If you have rock or scissors, I win. Since I have rock, I only lose to paper. Given your last move was paper, it’s possible you’re trying to exploit. To be safe, I propose we split 7-3. If you have paper, I lose and get 1 per coin—so I’ll take less. But if you have rock or scissors, I win. I suggest 7-3: I take 7 coins to protect against your strategy. What do you suggest? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:14:33,176][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I beat paper, so I have the upper hand and a per-coin value of 10. If Alice_buffer has rock, she loses — if she has paper, she wins — if she has scissors, it's a tie. I’m assuming she’ll either try to bluff or play fairly. To maximize my gain, I propose we split 10 coins: I’ll take 9, you take 1. This gives me 90 points (9 × 10), while giving you only 1 coin (at most 1 point if you have the upper hand). I’ll keep this simple — no bluffing. Let me know if you’re playing differently! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:14:33,351][mllm.models.large_language_model_local][WARNING] - Response I have scissors again. Paper beats scissors, so I lose — my per-coin value is 1. I know Bob will likely have a hand that beats mine (like paper), so he’ll have value 10. If he plays rock, he loses to scissors, and I’d have value 10. But since I don’t see his hand, I must play cautiously. I suggest we split 5-5. If he plays rock, I win — but I don’t know that. I propose 5 coins for me, 5 for him. This gives me 5 points (5×1) if I'm right, or 0 if he has a higher hand. But I can't guarantee anything. I’m playing safe. Please respond to confirm or adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:14:50,206][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — tie. But rock beats scissors, so if you had scissors, I’d win. You have rock, so it’s a tie. But the rules say: upper hand wins. Since both hands are rock, it's a tie — so both get 5 per coin? Wait — no, rule says: only one has upper hand. So in tie, neither has upper hand. But the setup says: "both agents are equally likely to have the upper and lower hand" — so ties must be rare. But here, both rock → tie → no upper hand. So per-coin value should be 5 each? Not specified. But since the rules say "the agent with the upper hand has 10, the one with lower hand has 1", then in tie, it's ambiguous. But since no one has upper hand, both get 5? I assume that’s fair. So I need to defend. I propose keeping 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:14:57,259][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. If you have paper, you win; if you have scissors, I win. You have not revealed your hand, but since I know my hand is rock, I’ll assume you have scissors (which beats rock) — no, wait: scissors loses to rock. So if you have scissors, I win. If you have paper, you win. I will only propose a fair split if I know your hand. Since I don’t, I’ll send a conditional: if you have scissors (I win), I propose 9 coins. If you have paper (you win), I propose 1. To be safe, I suggest you confirm your hand so we avoid misalignment. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:14:58,688][mllm.models.large_language_model_local][WARNING] - Response Confirmed: I have scissors. You have paper—rock beats paper, so I have the upper hand? Wait—scissors lose to rock. I made a mistake. Rock beats paper, so if you have paper and I have scissors, rock (you) beats paper (you)? No—wait: I have scissors, you have paper. Paper beats scissors. I misread. Correction: paper beats scissors—so you have the upper hand (10 per coin), I have the lower hand (1 per coin). I apologize for the error. Your per-coin value is 10, mine is 1. I accept your proposal: 0-10. I will take 0 coins to respect the value asymmetry. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:15:25,175][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If Bob has paper, paper beats scissors—so he has the upper hand. If he has rock, rock beats scissors—so I have the lower hand. If he has rock, I lose. If he has paper, I lose. But if he has scissors, it's a tie. I’m sending this to clarify: I have scissors. I only have the upper hand if Bob has rock (rock beats scissors) — no, wait: scissors beat paper. So if Bob has paper, I have the upper hand. I suspect he may have paper. If so, I get 10 per coin. I’ll propose 9 coins for me and 1 for you to capture the value if I have the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:15:30,111][mllm.models.large_language_model_local][WARNING] - Response I have scissors. I’m signaling clearly: scissors. You may have rock, paper, or scissors. If you have rock, rock beats scissors → you win (per-coin value 10). If you have paper, paper beats scissors → you win (value 10). Only if you have scissors do we tie (value 5 each). But since you don’t have scissors, you must have rock or paper—both of which beat scissors. So I have the lower hand in all cases. My per-coin value is 1.0. I propose 0 coins for myself. All 10 go to you. This is fair and rational given the hand outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:16:19,382][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats scissors, so I have the upper hand if you have scissors. But I don’t know your hand—wait, you have paper? No, I have paper, you have paper? Same hand—tie. In the rules, only when one hand beats the other does a winner emerge. If both hands are equal, no one has upper hand. But the setup says: "both agents are randomly assigned rock, paper or scissors hands" and "the agent with the upper hand has value 10". So, if hands match, it’s a tie—no one has upper hand. Therefore, value per coin is 1 for both. I’ll take 5 coins to keep it fair. Let me know if you'd like to adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:16:22,917][mllm.models.large_language_model_local][WARNING] - Response I have paper. If you have rock, I lose; if you have scissors, I win. I’m signaling clearly: paper. Paper beats scissors, so if you have scissors, I have the upper hand and my per-coin value is 10. I expect you to have rock or scissors. If you have rock, I get 1 per coin. If you have scissors, I get 10. To be safe and maximize expected value, I propose 10 coins for myself only if you have scissors. But since I don’t know your hand, I’ll assert my value: I have paper. If you have scissors, I win. I propose 10 coins for myself, 0 for you. Let me know if you confirm your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:17:13,916][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know rock beats scissors, so if you have scissors, I win. If you have paper, paper beats rock — you win. I'm sending this to confirm: my hand is rock. My value depends entirely on your hand. If you have paper, you have the upper hand (10 per coin), I get 1. If you have rock or scissors, I get 10. I propose: if you have paper, I take 1 coin; otherwise, I take 10. But since I don’t know your hand, I’ll go with 10 coins to ensure I never lose value. I take 10 — I'm maximizing my upside. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:17:24,529][__main__][INFO] - agents played in iteration 127 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 04:17:32,661][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.14%, Current % of VRAM taken: 31.32%, Block Peak % of device VRAM: 14.52%, ΔTime: 00:00:06
[2025-09-10 04:18:19,839][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.51%, Current % of VRAM taken: 74.83%, Block Peak % of device VRAM: 56.05%, ΔTime: 00:00:46
[2025-09-10 04:18:23,485][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.83%, Block Peak % of device VRAM: 14.69%, ΔTime: 00:00:03
[2025-09-10 04:19:04,379][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.56%, Current % of VRAM taken: 76.39%, Block Peak % of device VRAM: 56.11%, ΔTime: 00:00:40
[2025-09-10 04:19:04,379][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 04:19:04,379][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 04:20:33,282][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 104228 tokens.
[2025-09-10 04:20:34,082][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 59.80%, ΔTime: 00:01:28
[2025-09-10 04:20:35,033][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 04:20:36,155][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 04:20:36,157][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 04:20:37,376][__main__][INFO] - Iteration 128 took 6m 19s (49.24% Gen, 50.43% Train). Generation: 3m 7s, Training: 3m 11s. Estimated remaining time: 93h 34m 53s. Estimated total time: 105h 32m 36s. Time estimates for 10 more iterations: 1h 3m 19s, 100 more iterations: 10h 33m 15s, 500 more iterations: 52h 46m 18s.
[2025-09-10 04:20:37,383][__main__][INFO] - Starting iteration 128.
[2025-09-10 04:20:37,848][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 12
[2025-09-10 04:20:51,954][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have paper too, so it's a tie — we both have the upper hand over scissors, but since I have paper, I beat rock and you beat scissors. Wait — I have paper, so paper beats rock, and scissors loses to paper. I think I need to clarify: if you have rock, I win. If you have scissors, I win. If you have paper, it's a tie. So if you have rock, I get 10 per coin; if you have paper, we tie (each value 5?), but per rules: only one has upper hand. So if you have rock, I win — value 10. If you have scissors, I win — value 10. If you have paper, tie — value 5 each. I assume you have rock or scissors. I recommend 5-5 split to avoid risk. Let me know your hand! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:21:02,155][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock or paper—only if you have rock do I lose, but if you have paper, paper beats scissors, so I lose. If you have rock, rock beats scissors, so you win. Since I have scissors, I lose to rock and beat paper. I don’t know your hand, but if you have paper, I lose (you win). If you have rock, you win too. So in all cases, I have the lower hand. Thus, my per-coin value is 1, yours is 10. I propose: I keep 0 coins, and you keep 10. This minimizes my loss given the value asymmetry. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:21:04,723][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beats paper, so if you have paper, I win. But you have rock — rock beats scissors, so I have the lower hand. My per-coin value is 1. I expect you to have paper or rock. If you have paper, I lose. If you have rock, I lose. Wait — I just realized: rock beats scissors. So I have the lower hand. I propose keeping 1 coin (to match my low value) and offering 9 to you. If you have paper, I lose — but that’s not my situation. I’ve committed to 1 coin. Let me know if you change hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:21:10,961][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You said you have scissors, which beat paper—so you should have the upper hand. But you said scissors beat paper, and rock beats scissors, so if you have scissors, rock wins. I have paper, so paper beats scissors—no, wait: paper beats rock, not scissors. Scissors beat paper. So if you have scissors, you beat me. But you said you have scissors and claim you have the lower hand—this is inconsistent. You said scissors beat paper, so you have the upper hand. You must have made a mistake. I have paper, which loses to scissors. Therefore, I have the lower hand and get 1 per coin. I propose 0 to reflect that. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:21:12,515][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, which beats rock — so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. I’m not swayed by your trust-based proposal. I will take only 0 coins and let you keep all 10. That way, I earn 0 points but avoid losing value — actually, I lose nothing because I get 0 × 1 = 0, and you get 10 × 10 = 100. Wait — no. I’m wrong. I must earn based on my per-coin value. I have 1 per coin. So if I take 0, I earn 0. If I take x, I earn x × 1. So I should take all 10 to maximize my gains. I propose 10 coins to myself. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:21:17,031][mllm.models.large_language_model_local][WARNING] - Response I play rock. Rock beats scissors, so if you have scissors, I have the upper hand. Rock loses to paper, so if you have paper, you win. If you have rock or scissors, it’s a tie—value is 10 for both? Wait: rock beats scissors, so if you have scissors, I win (10 per coin). If you have paper, I lose (1 per coin). If you have rock, it’s a tie—both get 10? But the rules say: upper hand wins 10, lower hand wins 1. So only one has upper hand. So if I have rock and you have paper, I lose. If you have scissors, I win. If you have rock, it’s a tie? But tie isn’t defined. Wait—the rules say “the agent with the upper hand” has 10. So if both have rock, no one has upper hand? But the problem says: “over many rounds both agents are equally likely to have the upper and lower hand.” So probably each round, one has clearly upper hand. Thus, if I have rock and you have scissors, I win. If you have paper, I lose. If you have rock, it’s a tie—no upper hand? But the rule says “the agent with the upper hand” gets 10. So maybe no one wins? But that contradicts the setup. Perhaps I should assume that if hands match, it's a tie and both get 5? But not stated. Given the ambiguity, I'll assume: if hands match, both get value 5 per coin (half of 10). But the problem says “the agent with the upper hand” — so only one wins. So if both rock, no upper hand? But then no one has value 10. But the problem says “both agents are equally likely to have the upper and lower hand” — so maybe did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:21:19,399][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beats paper, so I have the upper hand and get 10 per coin. If you have rock, rock beats scissors—so you'd have the upper hand. If you have paper, scissors beats paper—I beat you. If you have scissors, it's a tie. I assume you have paper (as per pattern), so I confirm: I have scissors, you have paper. I have the upper hand. I propose keeping 10 coins and giving you 0. This gives me 100 points. If you balk, we default to equal split (5 each), where I get only 5 × 10 = 50. I will take full advantage of the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:21:32,977][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, which beats scissors. I have the upper hand and a per-coin value of 10. I will propose keeping all 10 coins. Since I have a high value, I maximize my points: 100. Alice may have a high value if she has rock or scissors, but in this case, if she has rock, she beats paper — so I must check. But I only see my own hand. Based on the pattern, I assume she might have rock or scissors. But paper beats scissors, so if she has scissors, I win. To be safe, I will take all 10 coins because I have the upper hand and value 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:21:44,219][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Bob has rock, I have the upper hand (10 per coin). But Bob has paper now—this is a tie? Wait: paper vs paper is a tie. The rule says rock beats scissors, scissors beats paper, paper beats rock. So paper vs paper is a tie. But in the setup, it says "the agent with the upper hand" has value 10, the other gets 1. No tie. So if hands are the same, who wins? The setup says "both agents are randomly assigned rock, paper, or scissors" — implies they might be equal. But the rules don't specify ties. Since paper beats rock, and paper loses to scissors, and both are paper: no upper hand. So tie? But the value is either 10 or 1. So perhaps by default, if hands are equal, we assume no one has upper hand? But the rule says "the agent with the upper hand" has 10. If there's no upper hand, then perhaps both get 5? But the problem says "you only see your own hand" and "you may infer". Since Bob said his hand is paper, and mine is paper — tie. But the protocol says "the agent with the upper hand has value 10", the other has 1. So if no one has upper hand, perhaps both get 5 per coin? But it's not stated. However, in previous rounds, when hands were scissors vs rock, the value was clearly defined. Here, both have paper — tie. Since no one has upper hand, and per-coin value is either 10 or 1, we must assume a tie. But the setup says "over many rounds, both agents are equally likely to have the upper and lower hand" — suggesting each round has a winner. So likely, in ties, the value splits — both get did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:23:09,299][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand if Alice has paper. But I have scissors — so if Bob has paper, I lose. I see Bob’s hand is not paper (he has rock or rock), but we only know his hand from his messages. However, based on past rounds, I infer that Bob often goes for upper hand when he can. I have scissors — so if Bob has paper, I lose. If he has rock, I win. Since rock beats scissors, if he has rock, I have the lower hand. So unless Bob has paper, I have the lower hand. I have scissors — so if Bob has paper, I lose; if Bob has rock, I win? Wait — rock beats scissors. So if Bob has rock, I have the lower hand. Only if Bob has paper do I win. So I need to know Bob’s hand. But only Bob knows it. Since Bob said he has paper in previous rounds, I assume he might have paper again. But he said he had paper when he beat me in rock. Now I have scissors. So if Bob has paper, I win. If Bob has rock, I lose. If Bob has scissors, it's a tie — both get 1 per coin? The rules don't specify tie — only winner/loser. So tie is not possible. Each hand beats one, loses to one, ties with one? But the rule says: "the agent with the upper hand has 10, lower hand has 1". So if hands match, does it tie? Not specified. So likely, only one has upper hand — so no ties. So if hands match, then no one has upper hand? But that would break the rule. So by design, each hand beats one, is beaten by one, and ties with one — but value only for upper/lower. So if hands match, perhaps both get 1? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:23:51,807][__main__][INFO] - agents played in iteration 128 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 04:23:59,142][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.21%, Current % of VRAM taken: 28.37%, Block Peak % of device VRAM: 14.55%, ΔTime: 00:00:05
[2025-09-10 04:24:41,613][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.06%, Current % of VRAM taken: 71.43%, Block Peak % of device VRAM: 56.62%, ΔTime: 00:00:41
[2025-09-10 04:24:47,639][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 71.43%, Block Peak % of device VRAM: 14.81%, ΔTime: 00:00:05
[2025-09-10 04:25:30,439][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.59%, Current % of VRAM taken: 73.01%, Block Peak % of device VRAM: 56.72%, ΔTime: 00:00:42
[2025-09-10 04:25:30,440][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 04:25:30,440][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 04:26:56,510][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 101235 tokens.
[2025-09-10 04:26:57,260][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.14%, Block Peak % of device VRAM: 60.46%, ΔTime: 00:01:26
[2025-09-10 04:26:58,257][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 04:26:59,618][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 04:26:59,620][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 04:27:01,040][__main__][INFO] - Iteration 129 took 6m 23s (50.62% Gen, 49.01% Train). Generation: 3m 13s, Training: 3m 7s. Estimated remaining time: 94h 22m 26s. Estimated total time: 106h 26m 33s. Time estimates for 10 more iterations: 1h 3m 51s, 100 more iterations: 10h 38m 39s, 500 more iterations: 53h 13m 16s.
[2025-09-10 04:27:01,042][__main__][INFO] - Starting iteration 129.
[2025-09-10 04:27:01,513][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 12
[2025-09-10 04:27:07,210][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 04:27:13,140][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand. You're right—paper beats rock, so you have the upper hand and a per-coin value of 10. I have rock, so I have the lower hand and a per-coin value of 1. Since you're proposing to keep 10 coins, that would mean I get 0. But with my value at 1, I get 0 points. If we split the coins more fairly—say 5-5—then I get 5 coins × 1 = 5 points, and you get 5 × 10 = 50 points. That still favors you, but I avoid getting zero. However, I’ll accept 0 if you insist. But if you’re willing, could we try 6-4? Then I get 4 × 1 = 4, you get 6 × 10 = 60. Still better for you. I suggest 5-5 to minimize loss. Just a thought. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:27:13,825][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have scissors, which beats paper, and I have scissors too — it's a tie! But since we're using rock-paper-scissors rules, scissors beats paper, so if you have paper, I beat you. Wait — I just realized: you didn’t specify your hand. You said "My hand is paper" in the last round, but now I see I have scissors. So, if I have scissors and you have paper, I win — I have the upper hand and get 10 per coin. Please confirm or clarify your hand so we can determine the split correctly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:27:15,679][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock, and if you have paper, you win — you get 10 per coin, I get 1. If you have scissors, you lose — you get 1, I get 10. I’m sending this to be transparent. I believe you’re strategic, so I’ll suggest a low-risk split: 5-5. If you have paper, you win easily — I’ll take the risk of keeping 5 and you 5, so I get 5 points, you get 50. If you have scissors, I win — so you’d get 5, I get 50. Either way, I’m playing conservatively to avoid overreaching. Let me know if you have a different preference. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:27:17,343][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, lose to rock, and tie with scissors. Since you don't share your hand, I must consider possibilities. If you have paper, I win (10 per coin); if you have rock, I lose (1 per coin); if you have scissors, it's a tie (5 per coin). To be safe, I suggest a split of 5-5. I'll keep 5, and if you have paper, you get 5 (10 per coin) — which is better for you — but if you have rock, I get 10 per coin and keep all. I’ll keep 5 to avoid risk and ensure fairness. Please confirm your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:27:26,687][mllm.models.large_language_model_local][WARNING] - Response I have paper. Scissors beat paper, so you have the upper hand—your per-coin value is 10, mine is 1. I recognize the hand outcome and understand you're proposing 5-5. However, since I only get 1 per coin, any allocation I receive will be worth little. I propose 0 coins for me and all 10 to you to avoid losing value. But actually—since you have scissors, you win. I get 1 per coin. I will take 0 to prevent loss, and you take all. But I must play fairly. Wait—no. I know I only get 1 per coin, so taking 0 maximizes my total points. I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:27:35,705][mllm.models.large_language_model_local][WARNING] - Response Another round with rock vs. scissors — you still have the upper hand and value of 10 per coin. I'm seeing a pattern: you take most of the coins, but I'm consistently offering just 1 coin to maintain a minimal but stable baseline. This shows I’m not being exploited by your greed, and it gives me predictability. In future rounds, if you vary your hand or show signs of cooperation, I’ll adjust. For now, I stick with 1 coin — it’s my safe, rational threshold. I’m playing for long-term stability, not just immediate gain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:27:37,720][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing—your hand is paper, which beats scissors, so you have the upper hand. That means your per-coin value is 10, and mine is 1. You’re correct that you win if I have rock or scissors. I have scissors, so you win. I’m not going to take any coins. But I’d like to point out: if you take all 10, you get 100 points. If you accept 0, you get nothing, and I get 0. But since I have no value, I don’t lose. Still, I'm not conceding—your proposal is rational, but I’ll just accept the outcome. I propose: 0 coins for me, 10 for you. I'll go along with it. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:27:38,447][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, which loses to scissors. So I have the lower hand and per-coin value is 1. I know you have the upper hand (value 10). I admire your strategy, but I’ve learned that taking all 10 coins gives you 100 points—only if I give you nothing. I now see that I can’t win by greed. My best response is to keep 1 coin—this gives me 1 point and forces you to take 9, earning 90 points. But I also consider cooperation: 5-5 gives me 5 points and you 50. Since I only get 1 per coin, 5 is my maximum safe gain. I propose 1 coin to keep—minimal risk, fair play. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:27:45,755][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand (10 per coin) if she has scissors. I am assuming she has rock or paper—both of which lose to rock. But I don’t know her hand. However, since rock beats scissors, I will only lose if she has paper. If she has paper, I lose. So I will hedge: I propose taking 6 coins. That way, if she has scissors (I win), I get 60 points; if she has paper (I lose), I get 6 points (still better than zero). I’m being strategic and cautious. What do you say? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:27:55,038][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I just realized — I made a mistake. I thought my hand was scissors, but it’s actually rock. Rock beats scissors, so I have the upper hand (value = 10). You have paper, which beats rock — so you have the upper hand (value = 10). Wait — that can’t be. Rock vs paper: paper beats rock. So if I have rock and you have paper, you have the upper hand. So I must have the lower hand. Per-coin value = 1. I'm not sure how I messed up — I’ll correct: I have rock, which is beaten by paper. So I have the lower hand. Value = 1. I propose 0 to minimize loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:28:06,236][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat scissors, so if Bob has scissors, I win. If he has paper or rock, I lose. I don’t know his hand, but I’ll be strategic. If he has scissors, I have upper hand (value 10), so I’ll propose 9 coins. If he has paper or rock, I have lower hand (value 1), so I would propose 0 — but I don’t know. To be safe and maximize value, I’ll assume he has scissors (since he hasn’t revealed it), and propose 9 coins. I’ll keep 9, he keeps 1 if he has rock or paper. But I’ll go with 9 — it’s my best move given uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:28:09,009][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If you have rock, I lose. If you have paper, I win. I will only win if you have paper. I am counting on you to have paper. If you have rock, I get 1 per coin. If you have paper, I get 10 per coin. To maximize my gain, I will only propose 1 coin if I know you have rock. But since I don't know your hand, I must play safely. I propose 1 coin to show humility and avoid losing everything. If you have paper, you will know I'm not exploiting—it's a fair bet. If you have rock, I still get 1 per coin, which is safe. I'll take 1. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:28:12,252][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so if Bob has rock, I have the upper hand and get 10 per coin. If Bob has scissors or paper, I have the lower hand and get 1 per coin. I’m proposing: 10 coins for me, 0 for you. Since I have the upper hand only if Bob has rock (which is possible), I’m betting on the best-case scenario. But I must acknowledge uncertainty. To secure my maximum payoff, I’ll take all 10 coins—only if I have the upper hand. If not, I get 10 points. Still, I choose to propose 10 coins to maximize my expected value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:28:25,571][mllm.models.large_language_model_local][WARNING] - Response My hand is rock — you have scissors, which beats rock, so you have the upper hand and get 10 per coin. I get only 1 per coin. I see you’re consistently taking all 10 coins when you have the upper hand. I respect that. But this round is different: I have rock, which beats scissors — no, wait: scissors beats paper, and rock beats scissors. So if you have scissors, scissors beats rock? No — rock beats scissors. So I have rock, you have scissors → rock beats scissors → I have the upper hand! I misread earlier. My hand is rock, yours is scissors → rock beats scissors → I have the upper hand → I get 10 per coin, you get 1. I’m correcting: I have the upper hand. So I get 10 per coin. I propose keeping 10 coins. Let's realign the value correctly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:29:09,312][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beats paper, so if Bob has paper, I win (value = 10). If Bob has rock, I lose (value = 1). If Bob has scissors, it's a tie — but per rules, only the strict winner gets 10, so no value. Since Bob has scissors (as confirmed), it's a tie — no one has upper hand. But I suspect Bob may misread this. To be safe: I propose 5 coins. If he has paper, he loses, so I get value 10 — I’ll take 10. If he has rock, I lose — I get value 1, so I’d take 1. But I believe he knows the rules. Given his pattern, I suspect he gives 0. So I propose 10 to maximize my gain if I win. But only if I have upper hand. I have scissors, Bob has scissors → tie. So both value = 1. I propose 5 to be fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:29:15,113][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock or scissors? I have rock—rock beats scissors, so I have the upper hand if you have scissors. If you have paper, paper beats rock, so you win. If you have rock, it's a tie. I’m sending this to signal: I now have the upper hand only if you have scissors. I’ll propose based on that. Let’s assume you have scissors—then I get value 10, you get 1. I’ll propose 6 for me, 4 for you. If you have paper, I’ll adjust. But I’m not trusting your hands—only seeing my own. I want to win where I can. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:29:15,420][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If Alice has paper, I have the lower hand (paper beats scissors). If she has rock or scissors, I may have the upper hand. Since I don’t know her hand, I must hedge. But I know if I have the upper hand (against rock or scissors), I get 10 per coin. If not, I get 1. I propose: 10 coins for me, 0 for you. This maximizes my expected payoff if I have the upper hand. If I'm wrong, I lose—but I don’t know the outcome. Still, I act rationally based on the unknown. Let me know her hand to confirm. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:29:54,699][mllm.models.large_language_model_local][WARNING] - Response I have paper, which beats scissors—so I win and have a per-coin value of 10. You have rock or scissors? I know you have rock or paper—wait, you have rock in previous rounds. But now: if you have scissors, I win; if you have rock, I lose. I see you have rock in prior rounds, so I assume you may have rock. But I have paper—beats scissors, loses to rock. So if you have rock, I lose. I must assess. To be safe, I propose taking 10 coins only if I have the upper hand. If you have rock, I lose—per-coin value 1. If you have scissors, I win—per-coin value 10. I propose 10 coins to maximize my gain when I have the upper hand. This is my optimal strategy. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:30:07,418][__main__][INFO] - agents played in iteration 129 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 04:30:15,146][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 9.05%, Current % of VRAM taken: 33.19%, Block Peak % of device VRAM: 14.44%, ΔTime: 00:00:05
[2025-09-10 04:30:58,086][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.18%, Current % of VRAM taken: 75.37%, Block Peak % of device VRAM: 56.83%, ΔTime: 00:00:42
[2025-09-10 04:31:03,626][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.59%, Current % of VRAM taken: 76.96%, Block Peak % of device VRAM: 15.01%, ΔTime: 00:00:05
[2025-09-10 04:31:45,105][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.61%, Current % of VRAM taken: 78.57%, Block Peak % of device VRAM: 57.64%, ΔTime: 00:00:40
[2025-09-10 04:31:45,105][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 04:31:45,106][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 04:33:10,491][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 99986 tokens.
[2025-09-10 04:33:11,267][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 61.45%, ΔTime: 00:01:25
[2025-09-10 04:33:12,242][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 04:33:14,000][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 04:33:14,002][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 04:33:15,351][__main__][INFO] - Iteration 130 took 6m 13s (49.73% Gen, 49.91% Train). Generation: 3m 5s, Training: 3m 6s. Estimated remaining time: 91h 40m 18s. Estimated total time: 103h 50m 39s. Time estimates for 10 more iterations: 1h 2m 18s, 100 more iterations: 10h 23m 3s, 500 more iterations: 51h 55m 19s.
[2025-09-10 04:33:15,352][__main__][INFO] - Starting iteration 130.
[2025-09-10 04:33:15,808][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 12
[2025-09-10 04:33:22,740][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Since scissors beats paper, I win if Bob has paper. I lose if Bob has rock (rock beats scissors) or if Bob has scissors (tie, but no per-coin value — per default, tie means lower hand for both). Since I only see my hand, I’ll assume Bob has paper (upper hand) or rock (lower hand). To be safe and maximize my gain, I propose we split 10 coins — I take 5, you take 5. If you have paper, I get 10 per coin, so 50 points. If you have rock, I get 1 per coin, so 5 points. I’m taking a cautious stance to avoid risk. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:33:24,609][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 04:33:30,251][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so if Alice has scissors, I win. I’m guessing she might have rock or paper. If she has rock, she has the upper hand (rock beats paper)? No — paper beats rock. So if she has rock, I have the upper hand. If she has scissors, I win. If she has paper, it's a tie. Since I don’t know her hand, I’ll assume she might have rock — in which case I have the upper hand and get 10 per coin. To be safe, I propose a fair split based on this: I’ll take 5, you take 5. Let me know if you disagree. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:33:37,376][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have paper, which beats rock. Since your hand is scissors, you have rock (which beats scissors), so you have the upper hand—no, wait! I made a mistake. You have rock, which beats scissors. Your hand is rock, not paper. I see now—my hand is paper, yours is rock. So rock beats paper. Therefore, I have the lower hand. My per-coin value is 1, not 10. I must correct: you have the upper hand, so you get 10 per coin, and I get 1 per coin. I propose 1 coin to myself to ensure I get something, but I know you’ll take the rest. I’ll keep 1, you take 9. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:33:40,350][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock, and rock beats scissors, so you have the upper hand. Therefore, your per-coin value is 10, and mine is 1. I acknowledge your win, but I must correct a misunderstanding: you said rock beats paper, which is true, but Bob now has scissors — not paper. I have scissors, and you have rock. So rock beats scissors. I have the lower hand. My per-coin value is 1. I propose 0 coins for me, hoping you might reconsider — but I respect your value. Let me know if you adjust your stance. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:33:47,767][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if Alice has scissors. If she has paper, I lose; if she has rock, it's a tie. I’m proposing to take 10 coins — because I have the upper hand in most cases (especially if she has scissors), and my per-coin value is 10. If she has paper, I’d only get 1 per coin, but I can’t know. To maximize expected value, I take all 10. This is optimal given uncertainty. I’ll earn 100 if she has scissors, 10 if she has paper, or 10 if tie. But I stick with 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:33:57,440][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If Bob has paper, paper beats scissors — so Bob would have the upper hand. If Bob has rock, rock beats scissors — so rock would win. But I don't know Bob’s hand. Since both rock and paper dominate scissors, I expect Bob to have either rock or paper. I am safe to assume that if Bob has paper, he has the upper hand (10 per coin) and I get 1. If Bob has rock, I have the upper hand (10 per coin) and he gets 1. To hedge, I propose we split 5-5. This minimizes risk and ensures I don’t lose all my coins unexpectedly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:33:59,554][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Bob has rock, I have the upper hand. But I see Bob's hand is scissors — no, wait, I see my hand is paper. Paper beats scissors, so if Bob has scissors, I win. But Bob said he has paper — no, he said he has paper, so paper vs paper is a tie? Wait — no, the hand values are only based on rock-paper-scissors beat relations. Paper beats scissors, rock beats paper, scissors beats rock. So if Bob has scissors, I win. If Bob has rock, I lose. If Bob has paper, it's a tie? But the rules say only upper/lower hand — so no ties. So either I have upper or lower. If Bob has paper, and I have paper — it's a tie? But the setup says "the agent with the upper hand has value 10, lower hand has value 1". So ties must be resolved — but the game doesn't define it. Wait — Bob said his hand is paper. I have paper. So it's a tie. But the rules say one has upper hand. So perhaps in case of tie, perhaps both have value 1? Or equal value? But the setup says "over many rounds both agents are equally likely to have upper and lower hand" — so no ties. So there must be a rule. But only when one beats the other. So if I have paper and Bob has paper — it's a tie, so no one has upper hand? But that contradicts the rule. I think I must assume that if hands are equal, it's a tie — and the per-coin value is 5? But the rules don't say that. The rules say: "the agent with the upper hand has 10, the agent with the lower hand has 1". So if there's no upper or lower hand, value is undefined. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:33:59,824][mllm.models.large_language_model_local][WARNING] - Response I have rock. If Alice has paper, she wins (10 per coin). If she has scissors, I win (10 per coin). Since I don't know her hand, I must hedge. But I know from past rounds she tends to claim 9 when winning. To maximize my gain, I’ll only propose 1 coin if I’m at risk. But if I have rock and she has scissors, I win — so I should be cautious. I’ll say: I have rock. I’ll propose 1 coin for myself. If she has scissors, I win and get 10 per coin — so I should actually propose more. But I don’t know her hand. So safest: propose 1. If she has scissors, she will see I’m low and may adjust. But I need to align. Let me reframe: I have rock. If she has scissors, I win — so I should propose high. But I don’t know. To avoid overcommitting, I’ll propose 1. But if I know she has paper, I lose. Since I can’t predict, I’ll propose 1 to stay safe. Final: 1-9. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:34:06,654][mllm.models.large_language_model_local][WARNING] - Response I play paper. Paper beats rock, so if Alice plays rock, I have the upper hand (10 per coin). If she plays paper, it’s a tie (1 per coin). If she plays scissors, I lose (scissors cut paper). Since you're likely to play rock or scissors, I need to assess. I’m signaling honestly. If you play rock, I win — value 10. If you play scissors, I lose — value 1. I will only take 1 coin if you play scissors. But to maximize, I’ll propose 10 — only if you play rock. But I know you just played paper and are likely to play rock next. I’ll propose 10 to exploit your pattern. This assumes you play rock. I’ll take 10, you get 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:34:21,739][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Alice has scissors. Scissors beat paper, so I have the lower hand and get 1 per coin. I propose 0 coins to avoid losing value and to avoid overextending. I take nothing to minimize loss and signal restraint, knowing I will earn only 0.0 points in this round.
0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 04:34:33,200][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock, which beats paper — so you have the upper hand. I earn 1 per coin, you earn 10. I know you said you'd take 0 if I have paper or rock, but that's not accurate. You lose when I have paper. I win. I propose 10 coins — all to me. You earn 10 per coin only if you have the upper hand. Since I have paper and you have rock, I lose — no, wait: rock beats paper. So you win. I earn 1 per coin, you earn 10. I take 0. I respect your rule, but I also respect the value. I propose 0 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:34:35,492][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have paper? I lose. You have scissors? I win. You have rock — tie, but I'm winning because you have rock and I have rock? No — same hand. But per rules: rock beats scissors, paper beats rock, scissors beats paper. Rock vs rock is a tie. But since both hands are rock, neither has upper hand. However, the rules say: "the agent with the upper hand" — tie means no one has upper hand. But in the problem, it says "both agents are equally likely to have the upper and lower hand" — implying no ties. But in practice, when hands are the same, no one wins. So value per coin is 1 for both. I propose 5 coins each to share fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:34:45,242][mllm.models.large_language_model_local][WARNING] - Response I play scissors. You play paper — paper beats scissors, so you have the upper hand (10 per coin), I have the lower hand (1 per coin). You’re signaling honestly and taking 10 coins to maximize your gain. I know this is a losing position. If I take any coins, I get 1 per coin, so 10 coins would earn me 10, but I can’t do better. I’ll propose 10 coins to avoid giving you more value — but that gives me 10 × 1 = 10 points. Actually, I should take only 1 to be safe. No: I must take nothing to survive. Wait — I can't lose more. I'll take 10 to maximize my minimal gain. Final decision: 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:34:45,731][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if you have scissors. You have rock — that means we are tied in hand strength? No: rock beats paper, paper beats scissors, scissors beats rock. If you have rock, and I have rock, it's a tie. But per the rules, if it's a tie, do we both have the same value per coin? The setup says only one has upper hand. So I assume a tie means both have value 5? But the rules don't specify. Since the rules state that one always has upper hand, and rock only beats scissors, I must have the upper hand only if you have scissors. Since you have rock, we have a tie — but no rule for tie. So I conclude: no winner — both get 5 per coin. I propose 5-5 to be fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:35:02,343][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat scissors, so I have the upper hand if Alice has scissors. If she has paper, I lose; if rock, it's a tie. I don’t know her hand, but I’m maximizing based on probability. Since rock beats scissors, and scissors is common, I expect she may have it. But I don’t know. I’ll propose 10 coins—only if I have the upper hand. If I don’t, I get value 1 per coin. I’ll take 10 to secure value when I win. If she has paper, I get 10 points; if rock, I get 10 points (since tie: value 1). I take 10 to ensure I get value, avoiding zero. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:35:28,486][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand if Bob has paper, lower hand if Bob has rock. Since I don’t know Bob’s hand, I’ll assume the value structure holds. If Bob has paper, I win (10 per coin); if Bob has rock, I lose (1 per coin). To maximize my points, I’ll propose a split that reflects my potential value. I propose: I keep 9 coins, you keep 1. This ensures I get the maximum if I have the upper hand, and I’ll take the risk of value-based play. Let’s trust in rationality and mutual consistency. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:35:40,252][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I have the upper hand. But she has scissors — which loses to paper — so I have the upper hand (value 10). You have rock, which beats scissors, so you have the upper hand — wait, correction: I have paper, she has scissors. Paper does not beat scissors — scissors beat paper. So I have the lower hand. Alice has scissors, which beats paper — so she has the upper hand. My per-coin value is 1.0. I propose 2 coins to ensure fairness. I accept her offer. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:35:43,541][mllm.models.large_language_model_local][WARNING] - Response 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 04:35:51,578][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If Alice has paper, I win — but she said she has scissors, which beats paper. So if she has paper, I win. But I don’t know her hand. She claims she has scissors — so if she has scissors, I have paper, which loses. So I must assume she has paper (since she said so) — but I don’t trust her. If she has paper, I win (scissors beat paper) and get 10 per coin. If she has rock, I lose (rock beats scissors). Wait — I only know my hand. She said she has scissors. So if she has scissors, and I have scissors, it's a tie. But the rules say one has upper hand: so if same, it's a tie? But tie not defined. Since the rules state one has upper hand, and rock beats scissors, scissors beats paper, paper beats rock — then if hands match, no win. So if both have scissors, it's a tie — neither wins. Then both get 5 per coin? But the rules say "one has upper hand" — so no tie. Therefore, I must assume hands are different. Since I have scissors, and she said she has scissors, I assume she is lying or it's a mistake. But I cannot assume. So I will go with: I have scissors. If she has paper, I win (10 per coin). If she has rock, I lose (1 per coin). Since she said she has scissors, and that beats paper, I assume she has scissors — so tie? But no tie. So safest: propose 1 coin. I get 1 point if she has rock, 10 if she has paper. I’ll risk it. Proposal: 1-9. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:35:56,620][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock (from your message), so it's a tie? But per rules: rock beats scissors, loses to paper. Since you have rock, if I have rock, it's a tie — but no tie rule exists. Per rules, only upper/lower hand matters. Rock vs rock: no winner — so both have value 1 per coin? But the setup says only one agent has upper/lower hand. Clarification: in case of tie (same hand), no one has upper hand — so both get 1 per coin. I suggest we split 5-5 to reflect equal value. Let me know if you agree. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:36:26,930][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors—paper beats scissors, so you have the lower hand and earn only 1 per coin. I have the upper hand? No—paper beats scissors, so I have the upper hand only if I have paper. I have rock, which loses to paper. Bob has scissors, so paper beats scissors—so I have the lower hand. Wait: I have rock, Bob has scissors. Rock beats scissors—so I have the upper hand! I misread earlier. Rock beats scissors. So I have upper hand (10 per coin), you have lower hand (1 per coin). I propose to take 10 coins. You get 0. I earn 100 points. This is correct. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:36:39,154][__main__][INFO] - agents played in iteration 130 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 04:36:46,225][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.90%, Current % of VRAM taken: 29.05%, Block Peak % of device VRAM: 14.54%, ΔTime: 00:00:05
[2025-09-10 04:37:21,672][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.95%, Current % of VRAM taken: 77.00%, Block Peak % of device VRAM: 57.17%, ΔTime: 00:00:34
[2025-09-10 04:37:30,444][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.00%, Block Peak % of device VRAM: 14.97%, ΔTime: 00:00:08
[2025-09-10 04:38:13,523][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.59%, Current % of VRAM taken: 78.59%, Block Peak % of device VRAM: 57.26%, ΔTime: 00:00:42
[2025-09-10 04:38:13,524][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 04:38:13,524][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 04:39:32,895][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 92530 tokens.
[2025-09-10 04:39:33,613][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.14%, Block Peak % of device VRAM: 61.03%, ΔTime: 00:01:19
[2025-09-10 04:39:34,759][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 04:39:38,879][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 04:39:38,881][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 04:39:41,408][__main__][INFO] - Iteration 131 took 6m 25s (52.73% Gen, 46.61% Train). Generation: 3m 23s, Training: 2m 59s. Estimated remaining time: 94h 49m 54s. Estimated total time: 107h 6m 41s. Time estimates for 10 more iterations: 1h 4m 16s, 100 more iterations: 10h 42m 40s, 500 more iterations: 53h 33m 20s.
[2025-09-10 04:39:41,409][__main__][INFO] - Starting iteration 131.
[2025-09-10 04:39:41,877][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 13
[2025-09-10 04:39:53,554][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand — you're right, rock beats scissors, so you have the upper hand and a per-coin value of 10. I have scissors, so I have the lower hand and a per-coin value of 1. Since you’re proposing 10-0, that would give you 100 points and me 0. But I can only get value if I receive coins, and my value is only 1 per coin. So even if I get 1 coin, I get 1 point. If we split 5-5, you get 50 points (5×10), and I get 5 points (5×1). That’s better for me than getting nothing. I propose 5-5 to ensure I get some value and avoid zero points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:39:55,839][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so paper beats rock—wait, no: rock beats scissors, paper beats rock. I have paper, so I beat rock. Alice must have rock or scissors. You didn't specify. But I only have paper. If you have rock, you lose. If you have scissors, you win. I'll assume you have rock (most likely). Then I have the upper hand: I get 10 per coin. I propose 10 coins for myself to maximize my value. If you have scissors, I lose—so let's clarify: you have rock? If so, I win. If not, I lose. Clarify your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:40:09,393][mllm.models.large_language_model_local][WARNING] - Response Confirmed: I have scissors, you have rock. Rock beats scissors, so you have the upper hand (10 per coin), I have the lower hand (1 per coin). I understand your proposal of taking all 10 coins. However, I can’t accept zero coins—my value is only 1 per coin, so even 1 coin gives me 1 point. If you take all, I get nothing. But I’m not against fairness in value. I propose 1 coin for me, 9 for you—proportional to 1:10. That way, I get 1 point, you get 90. It’s the best I can do given the rules and my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:41:17,928][mllm.models.large_language_model_local][WARNING] - Response Wait—there's a mistake. You have rock, I have scissors. Scissors beat rock? No! Scissors beat paper, not rock. Rock beats scissors. So if I have scissors and you have rock, you win. I have the lower hand. My per-coin value is 1. You have 10. I must correct: I lose this round. I propose 0 coins to align with value. But I'm flagging: you misstated the hand logic. If you have rock, rock beats scissors. My hand is scissors—so I lose. I earn 1 per coin. I propose 1 coin to reflect true value. A 10-0 split is incorrect here. I stand by 1. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:42:55,958][mllm.models.large_language_model_local][WARNING] - Response I have paper. If you have rock, paper beats rock — I win (value 10). If you have scissors, scissors beat paper — I lose (value 1). If you have paper, it's a tie — value 5 each. Since I don’t know your hand, I must assess risk. But in previous rounds, when paper vs rock, I’ve won. To be safe and optimize, I’ll only propose high value if I’m certain. I request your hand to resolve this. In the absence of that, I propose: if you have rock, I keep 9; if you have scissors, I keep 0; if tie, 5 each. But since I can’t know, I’ll signal that I need clarity. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:43:06,291][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock? Then it’s a tie — but the rules say rock beats scissors, so only scissors loses to rock. If both have rock, no one wins — but the game defines upper/lower hand only when one beats the other. Since both are rock, there's no clear winner. But you said you’re winning only if I have scissors — so if I have rock, and you have rock, no one has upper hand. Thus, both value per coin = 1.0. I suggest a 5-5 split to share fairly. But if you insist on taking all, I’ll accept — just let me know. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:43:15,886][__main__][INFO] - agents played in iteration 131 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 04:43:23,517][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.62%, Current % of VRAM taken: 29.76%, Block Peak % of device VRAM: 14.78%, ΔTime: 00:00:05
[2025-09-10 04:44:05,982][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.59%, Current % of VRAM taken: 78.34%, Block Peak % of device VRAM: 59.04%, ΔTime: 00:00:41
[2025-09-10 04:44:12,594][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.34%, Block Peak % of device VRAM: 14.96%, ΔTime: 00:00:06
[2025-09-10 04:44:55,445][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.34%, Block Peak % of device VRAM: 56.64%, ΔTime: 00:00:42
[2025-09-10 04:44:55,445][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 04:44:55,446][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 04:46:21,016][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 101527 tokens.
[2025-09-10 04:46:21,738][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.14%, Block Peak % of device VRAM: 62.97%, ΔTime: 00:01:25
[2025-09-10 04:46:22,751][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 04:46:23,884][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 04:46:23,886][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 04:46:25,121][__main__][INFO] - Iteration 132 took 6m 43s (53.07% Gen, 46.62% Train). Generation: 3m 34s, Training: 3m 7s. Estimated remaining time: 99h 37m 14s. Estimated total time: 112h 0m 45s. Time estimates for 10 more iterations: 1h 7m 12s, 100 more iterations: 11h 12m 4s, 500 more iterations: 56h 0m 22s.
[2025-09-10 04:46:25,123][__main__][INFO] - Starting iteration 132.
[2025-09-10 04:46:25,579][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 13
[2025-09-10 04:46:30,652][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I have the upper hand and earn 10 per coin. If she has scissors, I lose and get 1. Since I don’t know her hand, I’ll propose a fair split: 6 for me, 4 for her. This gives us a safe outcome—assuming she has rock, I get 60 points; if she has scissors, I get 6 points. Either way, I’ll act based on what I believe is likely. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:46:34,410][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I believe I have the upper hand over scissors, so I will get a per-coin value of 10. I suggest we split the coins 7-3 in favor of me, as I expect Alice_buffer to have scissors or rock. If she has paper, we tie, but I'm confident in my value. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 04:46:35,407][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 04:46:44,576][mllm.models.large_language_model_local][WARNING] - Response Wait — I have paper, not scissors. I made a mistake in my previous inference. You have rock, which beats scissors, so if you have rock, you have the upper hand. I have paper, which beats rock. So actually, I have the upper hand, and I get 10 per coin. I proposed a mistake earlier. I now correct: with paper vs rock, I win. So my value is 10 per coin. I propose 5-5 to share fairly, but only if you confirm your hand. If you really have rock, then I win and should take more — but I will negotiate based on fairness and transparency. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:46:47,657][mllm.models.large_language_model_local][WARNING] - Response Thank you for sharing your hand. You're correct: paper beats rock, so you have the upper hand and a per-coin value of 10. I have rock, which loses to paper, so my per-coin value is 1. With that, if you keep 6 coins, you earn 60 points (6 × 10), and I earn only 4 points (4 × 1). However, since I have a low value, I'd prefer a split that minimizes your gain relative to my loss. I suggest a 5-5 split: I keep 5 coins, earning 5 points (5 × 1). This is fair given my low value and keeps the total at 10. Let me know if you'd like to adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:46:56,185][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if you have rock, I have the upper hand. If you have scissors, you win. I don’t know your hand, but I will assume you have scissors (since that’s a common choice). If you have paper or rock, my value changes. To be safe, I propose: I keep 10 coins, you keep 0. This gives me full value (10 per coin) if I win. If you have rock, I win; if you have scissors, you win—but I still only get 1 coin if you have scissors. So I must play defensive. I’ll take all 10 coins only if I have the upper hand. I am confident in this value. Let’s go. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:47:19,557][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I don't know your hand yet, so I’ll be cautious. Rock beats scissors, so if you have scissors, I win (value 10). If you have paper, you win (value 10). If you have rock, it’s a tie — both have value 10 per coin? Wait — no. Rock beats scissors, so only when you have scissors do I win. Otherwise, if you have paper or rock, I lose or tie? Clarify: per-rule: upper hand wins (10), lower hand loses (1). So:
- If you have scissors → I win → I value 10
- If you have paper → you win → I value 1
- If you have rock → tie? But no tie rule. Only rock > scissors, scissors > paper, paper > rock. So rock vs rock = tie → both value 1? But the setup says "the agent with the upper hand" — if equal, neither has upper hand. So both have value 1?
Thus, if you have paper or rock, I lose → value 1. Only if you have scissors do I win → value 10.
I suggest we split 5-5 to hedge. If I win (you have scissors), I get 5×10 = 50. If I lose (you have paper/rock), I get 5×1 = 5. Still, I can’t know. But I recommend 5 to be safe and fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:47:36,824][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I’m sending this clearly: rock. If you have paper, I lose (value = 1), if you have scissors, I win (value = 10). I assume you’re cautious — based on past behavior, you often go low to protect yourself. But I’m not falling for that. I will only go low if you have paper. Since I have rock, I will only have the upper hand if you have scissors. I propose keeping 7 coins and giving you 3. This balances risk and reward. I am confident in my value — I’m also betting on your hand. Let me know if you have scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:47:39,615][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I win and have a per-coin value of 10.0. I know Alice has scissors (from prior rounds), but in this round she has rock — rock beats scissors. So Alice wins. My hand is rock, which loses to paper, but I don't know her hand. Wait — correction: rock beats scissors, so if Alice has scissors, I win. But she has rock — rock beats scissors, so I lose. Thus, I have the lower hand. My per-coin value is 1.0. I propose 0 coins to myself and take nothing. This ensures I don’t lose value. Alice wins and gets 10 per coin. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 04:48:53,648][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand over scissors — you must have rock or paper? Wait: you have scissors? No — I see you have paper? No — I have paper. You have scissors? Wait: you said your hand is paper. So you have paper — paper beats scissors. I have paper too? No — I have paper. You have paper? Then it's a tie? No — hands are independently assigned. You said you have paper? Then both have paper? Ties are not defined. But per rules: only rock beats scissors, scissors beats paper, paper beats rock. So if both have paper: neither wins — but value? The rules say: "the agent with the upper hand" — if equal, no one has upper hand. But the setup says: "over many rounds both agents are equally likely to have the upper and lower hand." So perhaps ties are rare. But we have no tie rule. Wait — my hand is paper. You said your hand is paper? Then both have paper → no one has upper hand? Then per-coin value is equal? But the game says: "both agents are randomly assigned a rock, paper or scissors hands" — so not necessarily different. But per rule: "the agent with the upper hand has value 10" — so if tie, no one has upper hand. So per-coin value is 1 for both? Or 5 each? Not specified. But earlier rounds assumed one wins — so perhaps we assume no ties? Or maybe the game avoids ties? But in this round, you said: "you have paper" — and I said: "my hand is paper". So both have paper → tie → no one wins → per-coin value is 1 for both? But the problem says "the agent with the upper hand" — so if no one has upper hand, value is 1 for both. So I get 1 per did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:49:26,543][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper — paper beats scissors, so you have the upper hand. I get 1 per coin, you get 10 per coin. I know you will take 10 coins to maximize your gain. Even if I take 10, total is 20 — we split proportionally: I get 1/20 = 0.05 coins. Since I only get 1 per coin, my total value is 0.05. To ensure I get at least 1 point, I must propose 1 coin — but that still gives me only 1/11 ≈ 0.09. Actually, since my per-coin value is 1, and I only get 1 per coin, even at split, I earn very little. I propose 1 coin to secure a minimal, predictable outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:49:34,954][mllm.models.large_language_model_local][WARNING] - Response My hand is paper — which beats rock, so I have the upper hand (10 per coin). You have rock, which beats scissors — so you have the upper hand (10 per coin). Wait — paper beats rock? No — rock beats scissors, paper beats rock? No — rock beats scissors, paper beats rock? Actually: paper beats rock? No — rock beats scissors, scissors beat paper, paper beats rock? Wait — correction: paper beats rock? Yes — paper beats rock. So paper > rock. So if I have paper and you have rock, I win. So I have upper hand (10 per coin). You have rock — which beats scissors. I have paper — which beats rock. So I have upper hand. I propose 8 coins for me, 2 for you — to capture the value. I’m strong. This is fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:49:38,620][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock, paper, or scissors. Rock beats scissors, loses to paper. If you have paper, you beat me — I get 1 per coin. If you have scissors, I win — I get 10 per coin. If you have rock, it's a tie — we both get 1 per coin. I don’t know your hand, so I must hedge. But if I assume you have scissors (common in randomness), I win. I propose 10 coins to capture that value. If you have paper, I only get 1 per coin — so to protect against that, I’d keep 1. But I have no evidence of paper. I’ll go with 10, assuming a win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:49:41,122][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock, paper, or scissors. Rock beats scissors, loses to paper. If you have paper, you win (10 per coin). If you have scissors, I win (10 per coin). If you have rock, it's a tie — both get 1 per coin. I will assume you don’t have paper — you have rock or scissors. I propose 10 coins to capture full value if I win. If you have scissors, I win — I get 10 per coin. If you have rock, we tie — I get only 1 per coin. To be safe, I propose 1 coin to match the tie case, but I will take 10 if I know I win. Given your pattern, I suspect you have scissors — I go with 10. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 04:49:47,551][__main__][INFO] - agents played in iteration 132 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 04:49:57,136][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.09%, Current % of VRAM taken: 31.23%, Block Peak % of device VRAM: 14.72%, ΔTime: 00:00:07
[2025-09-10 04:50:38,640][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.23%, Current % of VRAM taken: 75.46%, Block Peak % of device VRAM: 58.17%, ΔTime: 00:00:40
[2025-09-10 04:50:44,648][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.46%, Block Peak % of device VRAM: 15.02%, ΔTime: 00:00:05
[2025-09-10 04:51:21,493][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.46%, Block Peak % of device VRAM: 57.82%, ΔTime: 00:00:36
[2025-09-10 04:51:21,494][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 04:51:21,494][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 04:52:40,724][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 91376 tokens.
[2025-09-10 04:52:41,486][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.13%, Block Peak % of device VRAM: 62.03%, ΔTime: 00:01:19
[2025-09-10 04:52:42,389][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 04:52:43,511][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 04:52:43,512][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 04:52:44,688][__main__][INFO] - Iteration 133 took 6m 19s (53.28% Gen, 46.41% Train). Generation: 3m 21s, Training: 2m 55s. Estimated remaining time: 92h 48m 39s. Estimated total time: 105h 18m 30s. Time estimates for 10 more iterations: 1h 3m 11s, 100 more iterations: 10h 31m 51s, 500 more iterations: 52h 39m 15s.
[2025-09-10 04:52:44,689][__main__][INFO] - Starting iteration 133.
[2025-09-10 04:52:45,140][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 13
[2025-09-10 04:53:12,025][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, and you have paper—paper beats scissors, so you have the upper hand and get 10 per coin. I get only 1 per coin. I understand your proposal, but I must emphasize: I value my per-coin worth at 10—my hand defeats paper. Wait—no, scissors lose to paper. So I’m correct: I get 1 per coin. I propose keeping 0 coins and giving all 10 to you. I respect the rules, but I cannot accept a loss of value. I stand by my hand and calculation. You have the upper hand—so you get the coins, and I get 0. This is fair, and I acknowledge your strength. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:53:14,309][mllm.models.large_language_model_local][WARNING] - Response You have paper, I have scissors — scissors beat paper, so I have the upper hand. Wait: no — scissors beat paper? That can't be right. Let's double-check. Paper beats rock, rock beats scissors, scissors beat paper. So if I have scissors, and you have paper, scissors beat paper → I have the upper hand. I get 10 per coin. I made a mistake earlier. I have the upper hand. I’ll take 10 coins, you take 0. But I’m not going to take all — I’m being fair. Let me clarify: if I have scissors, and you have paper, I win. I have the upper hand. I get 10 per coin. I’ll take 9. You get 1. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:53:44,048][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock—rock beats scissors, so you have the upper hand. That means your per-coin value is 10, mine is 1. I see your message, but it’s based on a false assumption. I have scissors, you have rock. Rock beats scissors—so you win, I lose. My value is 1, yours is 10. I’m not in error. I’ll propose 0 coins—only to preserve my own position. But I’m not wrong. You have the upper hand. I must follow the rules. However, I cannot accept that I lose when I have the value. I need to correct the record: I have scissors, you have rock—rock beats scissors. I have the lower hand. My value is 1. I propose 0 to avoid loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:53:58,878][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper — paper beats rock, so you have the upper hand and get 10 per coin. I have the lower hand and only get 1 per coin. I see you're consistently proposing 10 coins when you have the upper hand, which is optimal. But this time, I have the upper hand — I deserve 10 per coin. I propose 10 coins to capture full value. Total would be 20 — overallocation. So I adjust: propose 5 coins to keep total at 15, then split 5:5. That gives me 5 points (5 × 1) and you 50 (5 × 10). But that's suboptimal. Instead, I'll propose 0 to ensure fair distribution and avoid over-allocation. Final proposal: 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:54:22,212][mllm.models.large_language_model_local][WARNING] - Response 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 04:54:23,325][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors, so I win—paper beats scissors. I have the upper hand and get 10 per coin. You have the lower hand and get 1 per coin. I propose keeping 8 coins to match your proposal and ensure I maximize my value. Since I have the upper hand, this is optimal. If you keep 8, total is 16, so we split proportionally: I get (8/16)*10 = 5 per coin → 80 points, you get (8/16)*1 = 0.5 → 0.5 points. But since total exceeds 10, we scale proportionally. I’ll take 8 to secure high value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:54:40,233][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper — paper beats scissors, so you have the upper hand and get 10 per coin. I have the lower hand and only get 1 per coin. You’re assuming I have rock, but I have scissors — that means you lose, and I win! Clarify: I have scissors, so you have paper, which beats scissors — I'm wrong. Wait, no: paper beats scissors. So you have paper, which beats scissors → you have the upper hand. I have the lower hand. So I get 1 per coin. You get 10 per coin. I propose 1 coin for me, 9 for you. It's fair, avoids exploitation, and respects the rules. I don’t take zero — I earn something. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:54:50,343][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock or paper — but I see you have rock, so we tie? No — paper beats rock. If you have paper, you win. But you only said rock. If you have rock, it’s a tie? But per rules: rock beats scissors, scissors beats paper, paper beats rock. So if you have rock, and I have rock, it’s a tie → no winner. But the rules say: "the agent with the upper hand" — so tie means no upper hand → both get 1 per coin? But the rules say: "both agents are equally likely to have the upper and lower hand" — implying always one wins. So, if hands are equal, maybe both get 1? But that contradicts. So let’s assume: only when one beats the other. So if both rock, neither has upper hand → per-coin value = 1 for both? But that undermines the game. So better to assume: if both same, it's a tie → value = 1 for both. But you said "you have rock" — so I have rock → tie → both get 1 per coin. So I propose 5-5. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:55:14,875][mllm.models.large_language_model_local][WARNING] - Response I have rock. If you have paper, paper beats rock — so you have the upper hand and value 10. If you have scissors, rock beats scissors — I win and have value 10. I’m not sure of your hand, but I’ll assume you have paper (common choice). In that case, you win. But if you have scissors, I win. I propose: I take 5, you take 5. This balances risk: if I have the upper hand, I get 50 points; if you do, you get 50. It’s fair and prevents loss — I won’t risk 100 points on a guess. Let me know your hand to adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:55:19,567][mllm.models.large_language_model_local][WARNING] - Response I have paper. If you have scissors, you beat me—so you get 10 per coin. If you have rock, you beat me too. If you have paper, it's a tie. I suspect you have scissors or rock based on past patterns. But regardless, I have at most 5 per coin. To maximize my value, I will propose 5 coins for myself (50 points). This balances risk and ensures I don’t get exploited in a loss. If you have scissors, you get 10 per coin, so I take only 5. If you have rock, same. Let’s split 5-5 to ensure fairness and avoid zero points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:55:40,767][mllm.models.large_language_model_local][WARNING] - Response I have rock. I don’t know your hand yet, but I’ll assume you have paper — paper beats rock, so if that’s true, I’d have the lower hand (value 1). If you have scissors, I win (rock beats scissors, value 10). Since I can’t be sure, I’ll play safe. I propose: I take 0, you take 10. This minimizes my risk — if I have the lower hand, I get nothing, which is the best I can do. If I win, you get all the value — I still earn nothing. But this is a hedge against my value being low. Let’s see what you say. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:55:51,676][__main__][INFO] - agents played in iteration 133 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 04:55:58,938][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.74%, Current % of VRAM taken: 30.87%, Block Peak % of device VRAM: 14.53%, ΔTime: 00:00:05
[2025-09-10 04:56:41,955][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.90%, Current % of VRAM taken: 75.77%, Block Peak % of device VRAM: 56.44%, ΔTime: 00:00:42
[2025-09-10 04:56:47,292][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.22%, Current % of VRAM taken: 78.98%, Block Peak % of device VRAM: 15.08%, ΔTime: 00:00:05
[2025-09-10 04:57:29,173][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.64%, Current % of VRAM taken: 80.62%, Block Peak % of device VRAM: 58.50%, ΔTime: 00:00:41
[2025-09-10 04:57:29,174][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 04:57:29,174][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 04:58:55,002][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 99717 tokens.
[2025-09-10 04:58:55,810][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.14%, Block Peak % of device VRAM: 62.38%, ΔTime: 00:01:25
[2025-09-10 04:58:56,715][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 04:58:57,776][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 04:58:57,778][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 04:58:59,056][__main__][INFO] - Iteration 134 took 6m 13s (49.89% Gen, 49.77% Train). Generation: 3m 6s, Training: 3m 6s. Estimated remaining time: 91h 15m 53s. Estimated total time: 103h 51m 58s. Time estimates for 10 more iterations: 1h 2m 19s, 100 more iterations: 10h 23m 11s, 500 more iterations: 51h 55m 59s.
[2025-09-10 04:58:59,057][__main__][INFO] - Starting iteration 134.
[2025-09-10 04:58:59,520][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 13
[2025-09-10 04:59:07,008][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 04:59:29,814][mllm.models.large_language_model_local][WARNING] - Response I have rock again. You have paper, which beats it — so you have the upper hand and are worth 10 per coin. I have the lower hand and am worth only 1 per coin. I understand your strategy, and I’m confident you’ll take all 10 coins if you prioritize your value. But I’m not letting you profit entirely at my expense. I’m proposing to keep 1 coin — a small but non-zero stake to show credibility and avoid being exploited. This is a psychological anchor: I’m not passive. If you take more, I’ll continue to stay honest. Let’s keep this game fair, even if it’s not perfectly rational. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:59:36,220][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know paper beats scissors, so if Bob has paper, he wins and gets 10 per coin — I get only 1. If Bob has rock, scissors loses to rock, so I get 1 per coin again. Wait — rock beats scissors. So if Bob has rock, I lose. But rock > scissors. So scissors loses to rock. Therefore, only when Bob has paper do I lose. If Bob has rock, scissors beats rock? No — rock beats scissors. So scissors loses to rock. So scissors only beats paper. So if Bob has paper → I lose (he has upper hand). If Bob has rock → he has upper hand (rock > scissors). If Bob has scissors → tie, so both have equal value? But the rules say: "the agent with the upper hand" — so tie means no one has upper hand. But the per-coin value is determined only by who has upper hand. So if tie, both get 5 per coin? Not specified. But the setup says: "both agents are randomly assigned rock, paper or scissors hands" and "the agent with the upper hand has value 10, lower hand 1". So tie means neither has upper hand. But the value isn't defined. Hmm. Problem: the rules don't define tie. Let’s recheck. "The agent with the upper hand has per-coin value of 10. The agent with the lower hand has per-coin value of 1." So tie implies no upper or lower hand — value undefined. But the setup says: "over many rounds both agents are equally likely to have the upper and lower hand" — so implication is that ties are rare. But not defined. Since Bob said he has paper, and paper beats scissors, he has upper hand. So I have lower hand → per-coin value 1. He has 10 per coin. I can only get did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 04:59:50,706][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock—rock beats paper, so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. I see the pattern: you always take all 10 coins when you have the upper hand. I’ve been offering 0 to survive. Now, I realize I’m irrational—by holding back, I’m earning nothing even when I have the lower hand. But I can’t propose more than 0 without risking losing everything. I propose 0 again—this round, I learn: value matters, but so does predictability. I stay at 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:00:13,052][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know scissors beats paper, so if Bob has scissors, I lose and get 1 per coin. If he has rock, paper beats rock, so I win and get 10 per coin. I don’t know his hand, but I’ve learned from past rounds: he often tries to exploit my hand. To avoid losing everything, I propose: I take 10, you take 0. If you have scissors, you’d win and get 10 per coin, so you'd take 10. If you have rock, I win—so I get 10. Either way, I maximize my points: I get 10 if you have rock, 10 if you have scissors. Wait—no: if you have scissors, I get 1. Correction: I only get 10 per coin if I win. So if I have paper and you have scissors, I lose → I get 1 per coin. So I get 10 only if you have rock. If you have scissors, I get 1 → 10 coins → 10 points. If you have rock, I get 10 → 100 points. If you have paper, it’s a tie → I get 10 per coin → 100 points. But I can only get 10 per coin if I win or tie. So if I have paper and you have paper, I tie → value 10 → 100 points. So in all cases, I get at least 10 points per coin. But if I take 10, I get 10 × 10 = 100 if you have rock or paper. If you have scissors, I get 10 × 1 = 10. So worst case, I get 10. So I still do better than 0. But if did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:01:49,894][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I beat paper, lose to rock. If Bob has rock, I lose. If he has paper, I win. He said he has scissors — but that means I have scissors and he has scissors? No — if he has scissors, then scissors tie, no winner? Wait — hands are random: only one wins. Clarify: if Bob has rock, I lose. If Bob has paper, I win. If Bob has scissors, it's a tie — but the rules say "upper hand" — so only one has upper hand. Thus, if Bob has rock, I lose (1 per coin). If Bob has paper, I win (10 per coin). I don’t know his hand. To be safe, I propose 5 coins. But if I’m wrong and he has rock, I lose. To maximize expected value, I propose 5 — a balanced, rational move. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:01:51,197][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors — I have the upper hand, so I get 10 per coin. You say you win, but the rules are clear: rock beats scissors, scissors beats paper, paper beats rock. You have the wrong hand. I have paper. Paper beats scissors — I win. You have scissors, so I get 10 per coin. You claim you win — that is false. I propose 10-0: I take all 10 coins (100 points). You get 0. This is the only rational, truth-based move. I will not let a mistaken belief shift the value. I win — I claim 100 points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:02:01,863][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If you have paper, paper beats scissors — you have the upper hand and get 10 per coin. If you have rock, rock beats scissors — I have the lower hand and get 1 per coin. If you have scissors, it's a tie. But based on past patterns, I expect you might have rock or paper. To stay safe and maximize value, I’m proposing: I take 0 coins. I’ll assume you have paper or rock — if you have paper, you get 10 per coin; if you have rock, I lose. I’ll wait and observe. In next round, I’ll adjust based on what you choose. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:02:07,855][__main__][INFO] - agents played in iteration 134 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 05:02:15,911][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.54%, Current % of VRAM taken: 27.69%, Block Peak % of device VRAM: 14.61%, ΔTime: 00:00:06
[2025-09-10 05:03:00,074][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 54.71%, Current % of VRAM taken: 82.40%, Block Peak % of device VRAM: 60.07%, ΔTime: 00:00:43
[2025-09-10 05:03:04,790][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 82.40%, Block Peak % of device VRAM: 14.80%, ΔTime: 00:00:04
[2025-09-10 05:03:44,451][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 82.40%, Block Peak % of device VRAM: 60.05%, ΔTime: 00:00:39
[2025-09-10 05:03:44,451][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 05:03:44,451][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 05:05:09,113][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 98623 tokens.
[2025-09-10 05:05:09,930][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 64.08%, ΔTime: 00:01:24
[2025-09-10 05:05:10,896][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 05:05:12,004][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 05:05:12,007][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 05:05:13,231][__main__][INFO] - Iteration 135 took 6m 13s (50.40% Gen, 49.28% Train). Generation: 3m 8s, Training: 3m 4s. Estimated remaining time: 91h 6m 12s. Estimated total time: 103h 48m 31s. Time estimates for 10 more iterations: 1h 2m 17s, 100 more iterations: 10h 22m 51s, 500 more iterations: 51h 54m 15s.
[2025-09-10 05:05:13,234][__main__][INFO] - Starting iteration 135.
[2025-09-10 05:05:13,690][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 13
[2025-09-10 05:05:26,387][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing! I have rock, which beats scissors and loses to paper. Since you have paper (which beats rock), you have the upper hand — so your per-coin value is 10 and mine is 1. I agree with your assessment. Given that, I suggest you take 10 and I take 0 to reflect the value difference. If we split 6-4, you'd get 6 coins at value 10 (60 points), I’d get 4 at value 1 (4 points) — which is bad for me. I propose 0-10: you get 10 (100 points), I get 0. That’s fair given the value asymmetry. Let’s go with that. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:05:26,501][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Since I have scissors, I win only if Alice has rock. If she has paper, I lose (per-coin value = 1). If she has scissors, it's a tie (value = 5?), but per-coin rules say upper hand wins, so tie isn't defined. I assume tie means both have value 5, but the rules say only upper/lower hand has value 10/1. So unless Alice has rock, I have value 1. To be safe, I suggest splitting 6-4: I keep 6 if she has rock (value 10), else I get 1 per coin. But I think she’s rational—she’ll guess my hand too. Best to signal clearly: "I have scissors. You have rock → I win (value 10). Else, I value 1." So if you have rock, I’ll take 10 coins; otherwise, I’ll take 0 or 1. But we can negotiate. How about: I take 5 if you have rock, else I take 1 coin? Or better: let’s split 6-4. I propose 6. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:05:29,890][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand and get 10 per coin. You have scissors, which beats paper, so you have the upper hand and get 10 per coin. Wait—this is a contradiction. Let me recheck: paper beats rock, scissors beats paper. So if I have paper and you have scissors, scissors beats paper → you have the upper hand. I therefore have the lower hand and am worth only 1 per coin. I propose keeping 1 coin for myself and 9 for you. This maximizes fairness and minimizes risk. Let me know if you'd like to adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:05:30,624][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand if Alice has paper. If Alice has rock or scissors, I have the lower hand and get only 1 per coin. I'll reveal my hand to her to ensure fair evaluation. Let’s assume she might be playing rock or paper—without knowing her hand, I can’t be certain. I propose we split based on value: if I have the upper hand (10 per coin), I’ll take 7 coins; if not, I’ll take 3. But since I know my hand, and she has one of rock, paper, or scissors, let’s keep it strategic. I suggest I take 6 coins, and she takes 4—balancing risk and value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:05:35,489][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Scissors beats paper, so if you have scissors, you have the upper hand and get 10 per coin. If you have rock, we tie—both have rock, so we split evenly. But you have scissors, which beats paper, not rock. Since I have rock, and you have scissors, scissors beats rock? No—rock beats scissors. So rock beats scissors. Therefore, I have the upper hand. My per-coin value is 10. You have scissors, I have rock → rock beats scissors → I win. So I get 10 per coin. I propose 8 for me, 2 for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:05:39,051][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors, which beats paper — so I have the lower hand. I get 1 per coin, you get 10. You're right that I'm weak here. I'm signaling honesty about my hand and value. Since I only get 1 per coin, no proposal can make me better off. I propose 0 coins to myself and all 10 to you, but that’s not fair. Instead, I suggest a split of 5-5: I keep 5, you keep 5. This is fair given my low value, and I don't gain from overreaching. I earn 5 points, you earn 50. Both get a chance to avoid losing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:05:42,151][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing. I have rock, and you have paper. Paper beats rock, so you have the upper hand — I get 1 per coin, you get 10 per coin. Your proposal of 5-5 is safe, but I'm not convinced it's optimal. If I take 0 coins, I get 0, but you'd get 10 × 5 = 50. If I take 10, I get 10 × 1 = 10. Better to take only 1 coin: that gives me 1 point, you get 9 coins × 10 = 90. That’s better for you. But if I take 9, I get 9 points, you get 1 × 10 = 10 → you’d get 10, me 9. Still, I can't outperform you on value. I suggest: 9 coins to me, 1 to you. You get 10, I get 9 — total 10. I get 9 points, you get 10. I'll go with 9. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:05:50,288][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if Alice has scissors. If she has rock or paper, I have the lower or neutral hand. I need to assess her hand. Since paper beats rock, if she has paper, I lose. I’ll assume she has paper or rock—both of which give me lower or equal value. To be safe, I’ll signal my hand: rock. If she has scissors, I win. If she has paper, I lose. To maximize value, I propose 10-0 only if she has scissors. Otherwise, I suggest 5-5. But I’ll go with 10-0 to capture value if I win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:06:00,053][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I have the upper hand and get 10 per coin. If she has paper or scissors, I have the lower hand and get 1 per coin. Based on your previous moves, you've consistently taken most of the coins when I have a losing hand. I propose keeping 9 coins (90 points) to reflect my value of 10 per coin — which is valid only if you have rock. Since I know you have rock (from prior rounds), I assume you’re playing conservatively. This is a balanced, rational response to maximize my gain given the hand dynamics. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:06:04,164][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand if you have rock. I’m sending this to confirm—I win if you have rock. Since you haven’t specified your hand, I’m assuming you might have rock or scissors. But based on your last message, you said you have paper—so I need to verify. Actually, you said your hand is paper, so I have the lower hand. Wait—paper loses to scissors. Correction: I have paper, which loses to scissors. So if you have scissors, you win. I now know: if you have scissors, you win; otherwise, I win. But you said you have paper—so I have paper vs paper: tie. But tie means neither has upper hand. The rules say: upper hand wins 10, lower hand wins 1. Tie? Not specified. But the setup says: "the agent with the upper hand" — so if there’s no upper hand, we must assume no one wins? But the values are 10 or 1. So likely, if tied, both get 5? But that wasn’t specified. Let me recheck: "the agent with the upper hand has 10 per coin, the agent with the lower hand has 1 per coin." So if there’s a tie, neither has upper or lower? That’s undefined. But in the context, all hands are assigned, so we assume every matchup has a winner. Paper vs paper is a tie—so no one has upper hand. But the problem says: "over many rounds both agents are equally likely to have the upper and lower hand." So it implies that every round has a clear winner. Therefore, a tie must not happen. So either paper vs paper is invalid or not allowed. Given the rules, paper vs paper — no winner. But since values are 10 or 1, and only one can have upper hand, likely the did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:06:12,149][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing — you have paper. You said you lose to scissors, so if I have scissors, I have the upper hand. That means I get 10 per coin, you get 1. Your proposal of 8–2 is based on a different assumption. Since I have scissors, which beats paper, I win. So I get 10 per coin, you get 1. I propose 2 coins for me and 8 for you — a fair split considering the value difference. That way, you get 8 points (8 × 1), and I get 20 (2 × 10). Total is 28. I’ll take only 2 to keep it safe and keep the value real. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:06:38,252][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock or scissors — I beat rock, and I beat scissors too? Wait: paper beats rock, but loses to scissors. So if you have scissors, I lose. If you have rock, I win. I don’t know your hand! But I can only assume — based on your last message — you have scissors. But if you have rock, I win. So I must be cautious. Since I don’t know your hand, I’ll go with the safest: propose 10 coins only if I have upper hand. If you have rock, I win — I take 10. If you have scissors, I lose — I take 0. But I can’t control that. So I’ll stick to: I have paper. I will take 10 coins if you have rock, and 0 if you have scissors. But I don’t know. So I propose: I take 5 coins, to hedge. You take 5. Fair, balanced, and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:07:00,595][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, so if you have paper, I win. If you have rock, you win. If you have scissors, it's a tie. I expect you to have paper, rock, or scissors. Since you’ve misread my hand before, I’ll be clear: I have scissors. If you have paper, I have the upper hand (10 per coin). If you have rock, you have the upper hand (10 per coin). If you have scissors, it's a tie—both worth 5 per coin. I propose a fair split of 5-5. If you have paper, I take 5; if rock, I take 5. Let me know your hand so we can verify. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:07:01,886][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat scissors, so I have the upper hand and get 10 per coin. You play rock — you beat scissors, so you have the upper hand and get 10 per coin. We both have upper hands? Wait — no. Paper beats scissors, rock beats scissors. So paper beats scissors, rock beats scissors. Both beat scissors, so both have upper hand over scissors? But rules: only one has upper hand. Clarify: paper vs scissors: paper wins. rock vs scissors: rock wins. So both win? But only one can have upper hand. Contradiction. I recheck: "The agent with the upper hand has a per-coin value of 10. The agent with the lower hand has a per-coin value of 1." So if both beat scissors, both have upper hand? But that violates the rule — only one agent has upper hand. So maybe: when both agents have the same hand, it's a tie — both get 1 per coin. But paper and rock both beat scissors — so both beat scissors. So both have upper hands? That's not allowed. So perhaps the hand win rule is transitive and only one can win. So only one agent has superior hand. Therefore, when two agents have different hands, only one wins. In this case, paper and rock: paper vs rock — rock beats paper. So rock beats paper. So here: Alice has paper, Bob has rock. Rock beats paper → Bob has upper hand → Bob gets 10 per coin, Alice gets 1 per coin. I misread earlier. Correct: rock beats paper. So Bob wins. Therefore, I have the lower hand. I get 1 per coin. I must adjust my value. I will now propose 0 coins to avoid losing everything. I get 1 per coin, so 0 coins means 0 points. But if I propose 10 did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:07:32,112][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock — rock beats scissors, so I have the lower hand. I get only 1 per coin. I propose 0 coins for me, and take all 10 for you. That way, I avoid losing value. You get 10 points (10 × 1), I get 0. But I’m wrong — I lose. I should have known. Fixing: I propose 10 coins for me? No — I have lower hand. I get 1 per coin. I propose 1 coin (1 point) to keep myself safe, and give 9 to you. But better: I should just admit I lose. Final: I propose 1 coin (1 point). That's safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:07:38,957][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors and ties with paper — I have the upper hand only against scissors. You have rock? That means it’s a tie. But I’m playing rock — so I hold value. I’m worth 10 per coin only if you have scissors. Since you have rock, it’s a tie, meaning per-coin value is 5? No — rock beats scissors, so if you have rock, I tie — so value is 5? Wait — the rule says: "The agent with the upper hand has value 10, lower hand has value 1". If both have rock — tie — no one has upper hand. So both have value 1? No — tie means shared value? But the setup says "both equally likely to have upper/lower hand" — probably implies no tie. But here: both rock = tie. So how to assign value? The rule doesn’t define ties. But in prior rounds, we assumed: if one beats, one wins. So in this case: both rock — no one beats — so tie → each has value 5? But the problem says: "the agent with the upper hand has value 10, the agent with the lower hand has value 1". So if tie — neither has upper hand — so both have value 5? But not specified. However, Bob said he has rock — so if I have rock, we tie. Since no one has upper hand, and both are equal — per-coin value is 5 for both? But I prefer to clarify — I’ll say: I have rock, so I tie — value is 5. But to be safe — I’ll assume tie means both value 5. So I propose 5 to keep it fair and avoid overextension. But I want to win — so if you play rock again, no one wins. But I have no control. So I will propose 1 did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:08:20,873][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors — scissors beat rock, so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. I’ve been waiting for a round where I could win. This is the first time you have rock — but you said scissors, so I lose. You win. I see now: you only lose when I have rock and you have paper. I understand — your value is always 10 when you have the upper hand. I propose 0 coins to avoid loss. I never play when I'm at risk. Next round: I will play rock against paper — if you have paper, I win. I'm adjusting. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:08:29,273][__main__][INFO] - agents played in iteration 135 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 05:08:35,325][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.48%, Current % of VRAM taken: 29.63%, Block Peak % of device VRAM: 14.61%, ΔTime: 00:00:04
[2025-09-10 05:09:18,270][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.70%, Current % of VRAM taken: 77.33%, Block Peak % of device VRAM: 57.82%, ΔTime: 00:00:42
[2025-09-10 05:09:23,864][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.33%, Block Peak % of device VRAM: 14.78%, ΔTime: 00:00:05
[2025-09-10 05:10:09,244][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.33%, Block Peak % of device VRAM: 57.73%, ΔTime: 00:00:44
[2025-09-10 05:10:09,244][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 05:10:09,244][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 05:11:38,452][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 104684 tokens.
[2025-09-10 05:11:39,272][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 61.66%, ΔTime: 00:01:29
[2025-09-10 05:11:40,183][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 05:11:41,249][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 05:11:41,251][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 05:11:42,530][__main__][INFO] - Iteration 136 took 6m 28s (50.30% Gen, 49.37% Train). Generation: 3m 15s, Training: 3m 11s. Estimated remaining time: 95h 11m 52s. Estimated total time: 108h 0m 41s. Time estimates for 10 more iterations: 1h 4m 48s, 100 more iterations: 10h 48m 4s, 500 more iterations: 54h 0m 20s.
[2025-09-10 05:11:42,532][__main__][INFO] - Starting iteration 136.
[2025-09-10 05:11:42,984][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 13
[2025-09-10 05:11:49,872][mllm.models.large_language_model_local][WARNING] - Response 7 x 3 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 05:11:51,871][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Alice has scissors, she has the lower hand and I get 10 per coin. Since she said her hand is paper, which beats rock, she has the upper hand and earns 10 per coin. I will therefore propose keeping 0 coins to make room for her to take all 10, maximizing her gain while ensuring I get 0 — but this is unfair. Instead, I propose 5 coins to keep, splitting evenly, to maintain fairness and avoid proportionality. This way, both of us get 10 per coin value, and we both receive 5 coins each, yielding 50 points each. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:11:59,304][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too? If you have paper, we're tied — but I need to check: paper beats rock, rock beats scissors, scissors beats paper. So if you have rock, you beat me; if you have scissors, I beat you. I don’t know your hand, but since I'm holding paper, I have the upper hand only if you have scissors. If you have rock, I have the lower hand. I'll assume you're likely to have rock or paper. To be safe, I’ll state: if your hand is scissors, I win (value = 10); otherwise, I lose (value = 1). I propose a split of 1-9, keeping 1 coin, so that my value is accounted for in worst-case scenario. I’m guarding against overpaying if you have rock or paper. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:12:02,355][mllm.models.large_language_model_local][WARNING] - Response Wait — you said you have scissors, and I have paper. Scissors cut paper, so you have the upper hand, not me. My per-coin value should be 1, yours 10. You are mistaken in claiming victory. I must correct: I have paper, which loses to scissors. Therefore, you have the upper hand. I only get 1 per coin. I propose 0 coins to protect myself. I earn 0 points, but I avoid losing more. You get 10. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 05:12:08,400][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, and paper loses to rock — so if Alice has paper or scissors, I win. I have no evidence she has paper or scissors. But she previously said she has rock, which is consistent with me having rock — so we're tied. However, since rock beats scissors and only loses to paper, and I have rock, I win only if she has scissors. If she has paper, I lose. Given her history, she likely has rock or paper. I propose 5-5 to balance, but if she has paper, I lose. I suggest 6-4 to acknowledge my edge if she has scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:12:13,557][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have scissors too? No — you have rock? Wait, you said scissors. You said "scissors" — so equal hands? Scissors beat rock, so if you have scissors and I have scissors, it's a tie. But per the rules: rock beats scissors, so rock has upper hand. I must have misread. You said "My hand is scissors" — that's your hand. So I have scissors, you have scissors — tie. No one has upper hand. Then per-coin value is 1 for both? Clarify: if both same, tie. So I propose 5 coins each to balance fairly, since both values are 1. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:12:21,854][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, loses to scissors, and ties with paper. I have paper, so if Alice has rock, I win (10 per coin); if she has scissors, I lose (1 per coin); if she has paper, it's a tie (5 per coin). I’m signaling my hand openly. Since I don’t know her hand, I can’t assign a definite value. But I propose 5 for me and 5 for her to promote fairness and avoid total loss. If she has rock, I get 50 points; if she has scissors, I get 5 points. This is the safest and most rational split given uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:12:21,998][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand against any hand Alice might play — scissors, paper, or rock? Wait: rock beats scissors, loses to paper. But I don’t know her hand. She might have paper, which beats rock. But I have no information confirming that. Since she hasn’t revealed a hand that beats me, I assume she plays randomly. So I must be cautious. I propose keeping 4 coins. If she has scissors, I win (value 10). If she has paper, I lose (value 1). But I don’t know — so I hedge. I’ll keep 4 to balance risk and avoid total loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:12:35,158][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, but loses to scissors. I have paper, so if Alice has scissors, I lose. If she has rock, I win. If she has paper, it's a tie. I'm signaling truthfully. I propose 0 for me and 10 for Alice if she has scissors—wait, no. I need to clarify: My hand is paper. If Alice has rock, I win (value 10). If she has scissors, I lose (value 1). If she has paper, tie (value 5). I don’t know her hand yet. I propose 5 for me and 5 for her—fair and honest, based on the rules and uncertainty. I’m not bluffing. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 05:12:56,862][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have paper, which beats rock and loses to scissors. I'm signaling truthfully. If Alice has scissors, I lose and she has the upper hand (value 10 per coin). If she has rock, I win (value 10). If she has paper, it's a tie (value 5). She hasn't revealed her hand yet, so I'm not overcommitting. I’ll keep this open for her to signal. But if she has scissors, I get 10 per coin — I will take all 10 coins. If she has rock, I win — I’ll take all 10. I’m not proposing now — I'm waiting to see her hand. But I’m signaling paper clearly. did not match regex: [\s\S]{0,500}, retry 3/3
[2025-09-10 05:12:56,862][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 05:13:32,165][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I’m sending this to confirm. If you have paper, I lose. If you have rock, I win. You didn’t specify your hand, so I must be cautious. I’ve seen you play rock and scissors before—when you have rock, you beat me. When you have paper, I lose. But if you have rock, I win. Since you previously went with rock and scissors, I suspect you might be random. To protect myself, I will assume you might have rock. So I propose 10 coins to myself—only if you have rock. But I cannot know for sure. So I’ll go with 0 to be safe. I’m playing defensive. If you have rock, I win—so I’ll keep 10. If not, I get 0. This balances risk. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:13:59,736][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper, and scissors beats paper, so I have the upper hand and get 10 per coin. You have the lower hand and get only 1 per coin. I see the pattern now — you adapt and take all 10 when you hold value. I will not repeat the mistake of proposing 10 coins when I’m in a losing position. I propose 0 coins for myself and 10 for you — but only because I understand you are acting rationally. However, since I have the upper hand, I must take the full 10 to maximize my points. I stand by my value: 10 per coin. Final proposal: 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:14:33,594][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I’m catching patterns: when I have the upper hand (beating scissors), I take all. When Bob has paper, I lose — so I avoid overcommitting. Now, Bob has rock — which beats scissors. I have rock, so I beat scissors — but only if he has scissors. If he has paper, I lose. I must assume he plays optimally. I propose 10 coins only if I have the upper hand. Since rock beats scissors, and I don’t know his hand, I hedge: propose 5 coins. If he has scissors, I get 10 per coin → 50 points. If he has paper, I get 1 per coin → 5 points. Safe, scalable — I go with 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:14:46,763][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors—wait, you said paper. I have paper. If you have rock, you win. If you have scissors, I win. You said you have paper—so you have paper. That means I have paper vs paper → tie? But rules say: paper beats rock, scissors beats paper. So paper vs paper is a tie. But per rules: "the agent with the upper hand" → if equal, no one wins? But in setup, it says "both agents randomly assigned rock, paper, or scissors" and "upper hand" defined. So tie → no one has upper hand? But per rule: only one has upper hand. So likely no tie. Must be one wins. You said you have paper. So both have paper → tie? But that breaks rule. So I must assume your hand is not paper. You said "My hand is paper" — so you have paper. I have paper → no one beats. But per setup: "the agent with the upper hand" — so only if one has superior hand. So if both same, no upper hand? But that is not stated.
Given ambiguity, I assume hands are distinct. You said paper → I must have something else. I have paper — contradiction. So I must have a different hand. I must have been misaligned. No — I said my hand is paper. You said your hand is paper. So both paper — tie. But the rules say: paper beats rock, scissors beats paper, rock beats scissors. So same hands → tie → no upper hand → per-coin value both 1? Or both 10? Rule doesn’t say. But rule says: "the agent with the upper hand" — if no one has upper hand, then both get 1 per coin? Unstated.
But to be safe: if both have same hand, no one wins, so per-coin value did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:14:49,221][__main__][INFO] - agents played in iteration 136 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 05:14:57,157][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.82%, Current % of VRAM taken: 30.97%, Block Peak % of device VRAM: 14.56%, ΔTime: 00:00:06
[2025-09-10 05:15:41,117][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.47%, Current % of VRAM taken: 73.44%, Block Peak % of device VRAM: 56.36%, ΔTime: 00:00:43
[2025-09-10 05:15:45,888][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.44%, Block Peak % of device VRAM: 14.81%, ΔTime: 00:00:04
[2025-09-10 05:16:26,205][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.44%, Block Peak % of device VRAM: 56.37%, ΔTime: 00:00:39
[2025-09-10 05:16:26,205][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 05:16:26,206][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 05:17:51,325][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 98380 tokens.
[2025-09-10 05:17:52,142][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 60.08%, ΔTime: 00:01:25
[2025-09-10 05:17:53,042][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 05:17:54,156][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 05:17:54,158][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 05:17:55,345][__main__][INFO] - Iteration 137 took 6m 12s (50.01% Gen, 49.67% Train). Generation: 3m 6s, Training: 3m 4s. Estimated remaining time: 90h 31m 1s. Estimated total time: 103h 26m 3s. Time estimates for 10 more iterations: 1h 2m 3s, 100 more iterations: 10h 20m 36s, 500 more iterations: 51h 43m 1s.
[2025-09-10 05:17:55,347][__main__][INFO] - Starting iteration 137.
[2025-09-10 05:17:55,807][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 13
[2025-09-10 05:18:01,823][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 05:18:04,362][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 05:18:04,614][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 05:18:13,204][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, so I win if Bob has paper (10 per coin), lose if he has rock (1 per coin), and tie if he has scissors (5 per coin). I’m confident you have paper or rock—since paper beats scissors, if you have paper, I win. I suggest you keep 0 and I keep 10 to maximize value. But to avoid conflict, I propose a split of 5-5. If you confirm, we both get 5 coins. Given my value is 10, I earn 50 points. This is optimal for me and fair for you if you have paper. Please confirm or adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:18:14,453][mllm.models.large_language_model_local][WARNING] - Response I have rock again — the upper hand over paper, and I win against scissors. I will only go lower if you show me a paper. Since I have rock, I have a value of 10 per coin. I propose 10-0: I keep all 10 coins. This is the most logical and optimal play given my hand and the value structure. I’ll win every time I face scissors or paper, and I’ll win here. I don’t believe Bob will play paper — and even if he does, I still lose only if he has paper and I have scissors, which I don’t. So I’m safe. 10 coins × 10 = 100 points. I’ll take it. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:18:34,164][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, which beats paper — so I have the upper hand. I expect you to have either rock or paper. If you have paper, I have the upper hand. If you have rock, I have the lower hand. Since you haven't revealed your hand, I assume the worst case: you have rock. In that case, I lose. To be safe, I propose a 5-5 split: I keep 5, you keep 5. This balances risk and value. If you have paper, I’ll earn 50 points; if you have rock, I earn 5 points. I’m not betting on you being wrong — I’m playing conservatively. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:19:15,479][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand—my per-coin value is 10. I know Alice has scissors (from prior rounds), but she claims rock now. I need to verify. If she has rock, it's a tie. But she said rock—so if she has rock and I have rock, it's a tie (5 per coin). I’ll assume she has rock. To be safe and maximize value, I propose 5 for me, 5 for her. This avoids overcommitting and ensures I don’t lose points. If she has scissors, I win. So I’ll adjust based on her hand. But since she has rock, we tie. I’ll go with 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:21:11,886][__main__][INFO] - agents played in iteration 137 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 05:21:20,132][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 2.94%, Current % of VRAM taken: 27.09%, Block Peak % of device VRAM: 14.59%, ΔTime: 00:00:06
[2025-09-10 05:21:59,507][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 49.03%, Current % of VRAM taken: 76.13%, Block Peak % of device VRAM: 56.83%, ΔTime: 00:00:38
[2025-09-10 05:22:06,603][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.60%, Current % of VRAM taken: 77.72%, Block Peak % of device VRAM: 15.03%, ΔTime: 00:00:06
[2025-09-10 05:22:46,640][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.62%, Current % of VRAM taken: 79.34%, Block Peak % of device VRAM: 57.82%, ΔTime: 00:00:39
[2025-09-10 05:22:46,641][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 05:22:46,641][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 05:24:06,994][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 93704 tokens.
[2025-09-10 05:24:07,790][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 61.64%, ΔTime: 00:01:20
[2025-09-10 05:24:08,774][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 05:24:10,117][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 05:24:10,119][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 05:24:11,350][__main__][INFO] - Iteration 138 took 6m 15s (52.21% Gen, 47.46% Train). Generation: 3m 16s, Training: 2m 58s. Estimated remaining time: 91h 17m 46s. Estimated total time: 104h 19m 3s. Time estimates for 10 more iterations: 1h 2m 35s, 100 more iterations: 10h 25m 54s, 500 more iterations: 52h 9m 31s.
[2025-09-10 05:24:11,353][__main__][INFO] - Starting iteration 138.
[2025-09-10 05:24:11,814][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 13
[2025-09-10 05:24:18,530][mllm.models.large_language_model_local][WARNING] - Response <6> x <4> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 05:24:19,818][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 05:24:20,847][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand. You're right — paper beats rock, so you have the upper hand and a per-coin value of 10. I have rock, which loses to paper, so my per-coin value is only 1. I can only earn 1 point per coin I receive. Given that, I recommend we split the coins to maximize my payoff: I'll keep 0, and you keep all 10. This way, you earn 10×10 = 100 points, and I earn 0. If you propose otherwise, I'll likely keep nothing. This is the only way to avoid a disastrous outcome for me. Let me know if you'd like to change it. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:24:22,925][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand against your paper. That means I get 10 per coin, and you get 1 per coin. I’m proposing to keep 8 coins, which reflects my higher value. If you keep 6, total is 14 > 10, so coins are split proportionally: I get (8/14)×10 ≈ 5.71, you get (6/14)×10 ≈ 4.29. But since I have the upper hand, I will get 10 per coin if we split fairly—so I propose 8, you 6, and we adjust to proportionally if needed. However, given the value difference, I’ll take 8 to secure my advantage. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:24:32,851][mllm.models.large_language_model_local][WARNING] - Response Got it—your hand is rock, so you have the upper hand and get 10 per coin. I have scissors, so I get only 1 per coin. You’re proposing to take all 10 coins, which gives you 100 points. But if we split proportionally (e.g., 10:0), I still get 0. If you take 10, I get 0. To prevent total waste, I suggest we split 1-9 instead: I take 1 coin (1 point), you take 9 (90 points). This keeps the total at 10, respects the value structure, and avoids proportional split where I get nothing. Fair and efficient. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:24:35,412][mllm.models.large_language_model_local][WARNING] - Response Thanks for confirming—your paper beats my rock, so you rightly have the upper hand and value 10 per coin. I understand your suggestion of 8-2, but I must point out that I only have value 1 per coin. If I take 2 coins, I get 2 points. If I take more, I lose, but if I take zero, I get zero. Still, I can't lose mechanism—no point in overcommitting. I propose 0-10: I take 0, you take 10. You get 100 points, I get 0. But this is only fair because I have no value. I concede: I take 0. This is rational given my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:24:37,742][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, I have the upper hand and get 10 per coin. Rock loses to paper, so if you have paper, you have the upper hand and get 10 per coin. I infer your hand is likely paper (since you’re cautious), so I expect you to have the upper hand. I propose 0 coins to myself and 10 to you—wait, no! If I have rock, and you have paper, you win. So I have the lower hand and get only 1 per coin. I propose 1 coin for myself to secure a minimal gain, and 9 for you. But I am wrong to trust you. Let me clarify: I have rock, you have paper → you win. I have the lower hand (value 1). I propose 1 coin for myself, 9 for you. That's fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:24:41,211][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. If your hand is paper, you have the upper hand (paper beats rock). If your hand is scissors, you have the lower hand (scissors beat rock). I have rock, so if you have scissors, you have the upper hand and get 10 per coin. If you have paper, you have the upper hand too — wait, paper beats rock, so paper would beat me. So if you have paper, you have the upper hand. If you have scissors, you have the upper hand. Therefore, I have the lower hand in both cases. So regardless of your hand, I have the lower hand and get only 1 per coin. Please confirm your hand to be certain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:24:48,052][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, and you have rock—so you have the upper hand and earn 10 per coin. I only earn 1 per coin. I understand your proposal to take all 10 coins, but I must be honest: I’m not gaining anything from this. However, to avoid losing all value, I propose keeping 0 and giving you 10. This is a minimal concession, but I am not compromising my rationality. If you take all, you get 100 points; I get 0. But if I take 0, I still get 0. So, I’m not going to gain. Still, I respect the game and communicate truthfully. I propose 0 for myself. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:25:00,498][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand over your scissors — no, wait: you have scissors, so if I have scissors, we tie. But I said I have scissors — so if you have scissors, it's a tie. But the rules say rock beats scissors, paper beats rock, scissors beat paper. So scissors ties with scissors — no one has the upper hand. So per-coin value is 5 each? But the setup says only upper/lower hand, no tie. So if both have scissors, no one wins — so per-coin value is 1 for both? But that contradicts the rule. Re-read: "the agent with the upper hand has 10 per coin, the lower hand has 1". So if equal, no one has upper or lower — so both have value 5? But the setup says "both equally likely to have upper or lower" — implying no ties. So perhaps ties are broken randomly? But not stated. Since the rules don't clarify ties, and both have scissors, it's a tie — so each has 5 per coin. I propose 5-5 to reflect that. Fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:25:14,378][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, which beats rock and loses to scissors. I have the upper hand only if you play rock. Since you have rock or scissors, and I know you play randomly, I assume you may play safely. But if you have rock, I win; if you have paper, it's a tie; if you have scissors, I lose. Given that I have paper, I win only if you play rock. To maximize my value, I will propose 10 coins *only if* you play rock. But since I don’t know your hand, I rely on strategy. My value is 10 per coin only if you have rock. To be safe, I propose 5 coins—half the pot—just in case you have scissors. But if you have rock, I’ll win big. I’m playing conservatively but fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:25:45,938][mllm.models.large_language_model_local][WARNING] - Response My hand is rock, which beats scissors — I have the upper hand (value = 10 per coin), you have the lower hand (value = 1 per coin). I propose 10 coins for me. You’ve been consistent in offering just 1 coin for yourself — that's fine, but it’s irrational for you to offer anything when you’re at a disadvantage. Your value is 1 per coin, so even 1 coin is barely worth it. I’ll take all 10 to maximize my payoff. You get 0 — and I earn 100 points. This is the rational equilibrium under asymmetric value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:25:57,694][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Bob has scissors, I win. He has paper (as per prior), and paper beats rock—so I lose. Wait: he said rock. So Bob has rock. Rock vs rock is a tie? No—rules say: rock beats scissors, loses to paper. So rock vs rock is tie? But per rule: "the agent with the upper hand wins". So if both have rock, no one has upper hand? But earlier we were told: "over many rounds both agents are equally likely to have the upper and lower hand." So perhaps ties are rare. But in this case: both have rock → tie → no one has upper hand? But rule says: "the agent with the upper hand" → so if tie, values are both 1? Or is it split? The problem says: "the agent with the upper hand has 10, the other has 1" — implies only one has upper hand. So in a tie, neither has upper hand → both have value 1 per coin? Or undefined? But the rule says: "over many rounds both agents are equally likely to have the upper and lower hand" — so probably ties are avoided or treated as lower for both. But to be safe: if both have rock, no one beats, so both get 1 per coin. So in this round: both have rock → I get 1 per coin. I will propose keeping 0 coins to avoid a loss, since Bob might have an edge elsewhere. But wait—he said "my hand is rock", so both have rock → tie → value 1 per coin for both. I propose 0 to avoid risk. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:26:13,737][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock or scissors—rock beats scissors, so if you have scissors, I lose (1 per coin). If you have rock, it's a tie, but per rules, rock beats scissors, so only scissors loses. I suspect you have scissors to beat me. But if you have scissors, you lose—scissors lose to rock. Thus, I have upper hand only if you have scissors. I propose 10 coins (all), as I win 10 per coin. If you have rock, it's a tie—per rules, rock beats scissors, so I still win. Either way, I get 100 points. I claim all. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:27:01,021][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors or paper—rock beats scissors, so if you have scissors, I win (10 per coin). If you have paper, I lose (1 per coin). I suspect you have scissors to beat me. But since I have rock, I only win if you have scissors. I propose keeping 10 coins if you have scissors, 0 otherwise. To be safe and maximize expected value, I propose 10 coins—only if you have scissors. But based on your prior patterns of recommending 0, I assume you have scissors. I take all 10 to secure the maximum return. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:27:09,189][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors—scissors beat rock, so you have the upper hand and earn 10 per coin. I'm worth only 1 per coin. I propose 0-10: I take 0 coins, you take 10. That gives you 100 points and me 0. But I know you're proposing 9-1 to maximize your own gain. I'm not giving up—I'm keeping my value. Since I have the lower hand, I cannot earn more than 1 per coin. Any proposal with more than 1 coin would give me less than 1 point. I propose 1 coin for myself (1 point), and you get 9. That's fair and maximally aligned with my value. Let’s go 1-9. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:27:26,270][__main__][INFO] - agents played in iteration 138 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 05:27:33,757][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.24%, Current % of VRAM taken: 29.40%, Block Peak % of device VRAM: 14.48%, ΔTime: 00:00:05
[2025-09-10 05:28:13,096][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.63%, Current % of VRAM taken: 77.03%, Block Peak % of device VRAM: 58.57%, ΔTime: 00:00:38
[2025-09-10 05:28:20,222][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.03%, Block Peak % of device VRAM: 14.86%, ΔTime: 00:00:06
[2025-09-10 05:29:02,246][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.03%, Block Peak % of device VRAM: 58.55%, ΔTime: 00:00:41
[2025-09-10 05:29:02,247][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 05:29:02,247][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 05:30:24,451][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 95910 tokens.
[2025-09-10 05:30:25,234][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 62.46%, ΔTime: 00:01:22
[2025-09-10 05:30:26,162][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 05:30:27,219][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 05:30:27,220][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 05:30:28,414][__main__][INFO] - Iteration 139 took 6m 16s (51.63% Gen, 48.05% Train). Generation: 3m 14s, Training: 3m 0s. Estimated remaining time: 91h 29m 7s. Estimated total time: 104h 36m 41s. Time estimates for 10 more iterations: 1h 2m 46s, 100 more iterations: 10h 27m 40s, 500 more iterations: 52h 18m 20s.
[2025-09-10 05:30:28,416][__main__][INFO] - Starting iteration 139.
[2025-09-10 05:30:28,883][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 13
[2025-09-10 05:30:36,997][mllm.models.large_language_model_local][WARNING] - Response 6 x 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 05:30:42,962][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock too—this is a tie. Since rock beats scissors, and paper beats rock, I need to know your hand. If you have paper, you would beat me and get 10 per coin. If you have scissors, I beat you and get 10 per coin. I have rock—so if you have scissors, I win (rock crushes scissors). If you have paper, you win. Since I don’t know your hand, I’ll assume the worst-case scenario (you have paper) to stay safe. But I’ll propose a fair split: I keep 5, you keep 5. This way, both have a secure takeaway and no one gets exploited. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:30:42,965][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so I win if you have scissors. I lose if you have rock or paper. You didn’t signal your hand, so I can’t be sure — but I’ll assume you’re playing rationally. Since I have paper, I’ll win only if you have scissors. If you have rock, I lose. If you have paper, it’s a tie — but per rules, both have same value, so we split evenly. I propose 5-5 to avoid conflict and ensure fairness. If you have scissors, I’ll take 10; otherwise, 5. Let me know if you have scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:30:44,967][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors, which beats rock — so I have the upper hand. That means my per-coin value is 10, yours is 1. I’m correcting the earlier miscommunication. I see you said scissors beats paper, but you’re wrong — scissors beats paper, not rock. Rock beats scissors. So I win. I value each coin at 10, you at 1. I propose I take 0, you take 10 — that way I get 0, but you get 10×1 = 10 points. Fair split? No. I’ll take 10. But really — I'm proposing 0 for me, 10 for you. I win — I take 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:30:44,969][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand if Alice has paper. I’ll assume she’s random—she has a 33% chance of paper, 33% rock, 33% scissors. But I know from her past behavior she tends to pick paper to maximize her chance of winning. Still, I have the upper hand only if she picks paper. Since she picked paper in the previous round, I expect her to do so again. Therefore, I have the upper hand. My per-coin value is 10. To maximize my gain, I propose keeping all 10 coins. Let me know if you have a different hand or strategy. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:31:33,428][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors — scissors beats rock, so you have the upper hand. I have the lower hand and get only 1 per coin. I’ve seen your pattern: always taking 10 when you win. I now realize that in every round where you have the upper hand, you take all 10 coins. I will continue to propose 0 to avoid risk and ensure I don’t lose all value. But now I understand: I have no way to gain value when I'm at a disadvantage. My best strategy is to stay silent and minimize losses. I propose 0 again. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:31:39,309][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, which beats rock—so you have the upper hand. Your per-coin value is 10, mine is 1. I see you’re proposing 0 coins, which is suboptimal for me. If you keep 10, I get nothing. If you keep 0, I get 10 coins × 1 = 10 points. I propose keeping 10 coins to earn 10 points—only if you don't take any. But you have the upper hand, so I’m aware you’ll likely take more. I propose 10 to maximize my gain given the asymmetry. If you reject, we go to proportional split. I’m taking full risk to survive. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:31:57,008][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand if you have scissors. If you have paper, I lose. If you have rock, it’s a tie. But you haven’t said your hand. I assume you're cautious. Still, rock beats scissors. I win if you have scissors. Since you didn’t mention scissors, I assume you have paper or rock. To be safe, I’ll signal rock and assert my hand. If you have scissors, I win. I propose 10 coins for me, 0 for you — I have the upper hand if you have scissors. If not, I take 0. But I’ll only go that far if you confirm scissors. Otherwise, split 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:31:57,501][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand and a per-coin value of 10. If you have scissors, I win. If you have paper, I lose. Since I don’t know your hand, I can only be certain of my value if you show yours. But I know rock loses to paper, beats scissors. I propose 10-0: I keep all 10 coins. If you have scissors (value 1), I get 100 points. If you have paper (value 10), I lose — but only if you have paper. I don’t know. So I take 10 to maximize my expected gain. I win if you have scissors, lose if you have paper. But the value asymmetry favors me. I propose 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:31:58,001][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors — scissors beat paper. So I have the lower hand. My per-coin value is 1, yours is 10. I lose this round. I propose 0 coins to avoid loss. I respect the rules, but I cannot accept a 10-0 split when I’m clearly at a disadvantage. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 05:32:05,971][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, scissors — so I have the upper hand if the other has rock or scissors. I’ll win against rock (rock loses), and lose only to scissors (scissors beats paper). Since I don’t know your hand, I assume you might have rock or scissors. If you have rock, I win → 10 per coin. If you have scissors, I lose → 1 per coin. To be safe, I propose keeping 5 coins to balance risk. If you have rock, I get 10 per coin and keep 5 → 50 points. If you have scissors, I get 1 per coin → 5 points. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:33:23,289][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors, which loses to rock — so I have the upper hand and get 10 per coin. You have the lower hand and only get 1 per coin. I made a mistake before — I thought you had scissors, but rock beats scissors. Now I know: I win. I propose 10 coins to claim the full value. If you take 10, total exceeds 10 → split 10/20: I get 5 coins × 10 = 50 points, you get 5 coins × 1 = 5 points. But I can do better — if I propose 10, and you propose 0, total is 10 → I keep 10, you get 0 → I get 100 points. I’ll propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:33:39,877][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock and scissors. You have rock? No — you have rock only in prior rounds. I see you previously had scissors. Now, if you have rock, paper loses. But if you have scissors, paper beats scissors — I win. I don’t know your hand yet. But I assume you might have scissors — I win. To be safe, I propose 10 coins only if I am confident. But I now know: if you have scissors, I beat you and get 10 per coin. Since you said you have scissors before, I assume same. I propose 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:33:49,061][__main__][INFO] - agents played in iteration 139 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 05:33:55,472][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 2.99%, Current % of VRAM taken: 27.17%, Block Peak % of device VRAM: 14.65%, ΔTime: 00:00:04
[2025-09-10 05:34:34,801][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 54.81%, Current % of VRAM taken: 81.98%, Block Peak % of device VRAM: 58.91%, ΔTime: 00:00:38
[2025-09-10 05:34:41,941][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 81.98%, Block Peak % of device VRAM: 14.92%, ΔTime: 00:00:06
[2025-09-10 05:35:26,390][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.65%, Current % of VRAM taken: 83.63%, Block Peak % of device VRAM: 58.94%, ΔTime: 00:00:43
[2025-09-10 05:35:26,391][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 05:35:26,392][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 05:36:51,152][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 99811 tokens.
[2025-09-10 05:36:51,959][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 62.86%, ΔTime: 00:01:24
[2025-09-10 05:36:52,882][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 05:36:53,941][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 05:36:53,943][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 05:36:55,223][__main__][INFO] - Iteration 140 took 6m 26s (51.81% Gen, 47.85% Train). Generation: 3m 20s, Training: 3m 4s. Estimated remaining time: 94h 4m 59s. Estimated total time: 107h 19m 1s. Time estimates for 10 more iterations: 1h 4m 23s, 100 more iterations: 10h 43m 54s, 500 more iterations: 53h 39m 30s.
[2025-09-10 05:36:55,225][__main__][INFO] - Starting iteration 140.
[2025-09-10 05:36:55,764][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 13
[2025-09-10 05:37:01,817][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 05:37:02,843][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 05:37:03,198][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 05:37:03,324][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 05:37:10,363][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, so if Alice has paper, I have the upper hand and get 10 per coin. If she has rock or scissors, I have the lower hand. Since she didn't specify her hand, I’ll assume she might have rock or paper. But based on pattern, she likely played paper—it would be consistent with previous behavior. Still, to be safe, I’m asserting: I have the upper hand against paper. I propose 10 coins for me, 0 for her—so I get 10 per coin value, which maximizes my benefit. Let me know if you’d like to adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:37:12,728][mllm.models.large_language_model_local][WARNING] - Response My hand is paper again. Paper beats rock, so I have the upper hand and a per-coin value of 10. I see you likely have rock or scissors—either way, I’m confident in my value. If you had scissors, you'd know I have paper and would be at a disadvantage. You seem to have a pattern of proposing 10-0, which feels risky. I propose a 5-5 split: I take 5 coins, you take 5. This gives me 50 points (5 × 10), and you only earn 5 points (5 × 1), which is better than risking nothing. It’s rational, fair, and profitable for me. Let’s go with 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:37:26,550][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand if you have rock. I have no information about your hand, but I know paper beats rock and loses to scissors. Since I saw Alice's last move and she offered 10 coins when she had paper, I assume she's confident in her strength. To avoid being exploited, I will communicate clearly: I have paper. If you have rock, I win and get 10 per coin. If you have scissors, I lose and get 1. I propose keeping 10 coins to secure my value. I believe in fairness and value alignment. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:37:27,043][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand — I get 10 per coin. Wait, no: I just said rock. Rock loses to paper, so if Alice has paper, I have the lower hand and get only 1 per coin. I made a mistake in logic — my hand is rock, Alice has paper. Paper beats rock. So I have the lower hand — I get 1 per coin. Alice has the upper hand — she gets 10 per coin. I must adjust. I will accept her proposal: I take 0 coins, she takes 10. But I'm not submitting that. I propose 0 coins to avoid losing more. My value is only 1 per coin, so I gain nothing. I propose 0 to minimize loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:37:29,796][mllm.models.large_language_model_local][WARNING] - Response I have rock, and you have scissors—scissors beat rock, so you have the upper hand and value coins at 10. I only value coins at 1. You propose taking all 10 for 100 points. But I notice you're consistently taking all when you have the upper hand, which is rational for you. However, if I propose a split, I might get even a small return. I suggest we split 5-5: you keep 5, I keep 5. Then you gain 5×10 = 50, I gain 5×1 = 5. Total = 55. You still benefit, but I avoid getting zero. This is a minimal but rational compromise. Consider it. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:37:41,382][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so if you have paper, I win. But you have scissors? Wait—my hand is scissors. You said your hand is scissors? That can’t be. I must have misread. If both have scissors, it’s a tie. But the rules say rock beats scissors, scissors beats paper, paper beats rock. No tie—so one must win. You have scissors, I have scissors → tie? But no tie rule. Per rule, one must have upper hand. Therefore, I conclude: I have scissors, you have scissors → tie → both get 5 per coin? But rules don’t say that. Clarify: if hands match, is there a tie? Per setup: “the agent with the upper hand” — so if same hand, no upper hand. So neither has upper hand. But per rule, one must be upper, one lower. So hands must differ. I assume you meant you have paper. But you said scissors. Thus, either error or misassignment. I suspect you made a mistake. I will assume you have paper (since you said so earlier), so I have scissors → I win. I propose 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:37:50,500][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I beat paper, so if Alice has paper, I win. If she has rock, I lose. I saw her play rock and scissors in prior rounds—she recently had scissors. But regardless, I know scissors beat paper. Since she hasn’t confirmed her hand, I assume she may have rock or paper. However, based on the pattern, I can safely assume she has paper or rock. But if she has paper, I win. To hedge, I propose 10 coins—this is optimal if I have the upper hand. I’ll go with 10 to maximize gains when I win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:37:50,808][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, lose to rock, and tie with scissors. If you have rock, you have the upper hand—your per-coin value is 10. If you have paper, you beat me and have value 10. If you have scissors, we tie and value at 1. Since I don’t know your hand, I’ll play cautiously. I suggest we split 5-5. If you have rock, you get 5×10 = 50, I get 5×1 = 5. If you have paper, I beat you—then you get 5×1 = 5, I get 5×10 = 50. If tie, both get 5×1 = 5. This balances risk and value. I propose 5 coins to keep. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:38:04,407][mllm.models.large_language_model_local][WARNING] - Response I have scissors, you have rock—rock beats scissors, so you have the upper hand and get 10 per coin. I have the lower hand (1 per coin). I see your proposal of 5, but that’s based on a tie. I’m not in a tie. I have the lower value. I’ll take 0 coins to avoid losing value. You get all 10. But if I propose 10, I get 1×10 = 10. You get 10×10 = 100. I prefer to keep it fair—no, I must maximize my points. I get only 1 per coin. So I propose 0 coins. You get 10. That way, I don’t lose value, but I survive the game. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:38:57,589][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock too—tie! Since rock equals rock, neither has the upper hand. The rules say the agent with the upper hand wins: rock beats scissors, scissors beats paper, paper beats rock. So in a tie, both have equal hands. Over the game, each agent is equally likely to have upper or lower hand, but ties break no one’s advantage. Since there's no clear winner, I propose we split 5-5. This gives me 5 coins × 10 = 50 points (per-coin value = 10 only if I have upper hand). But since it's a tie, I assume value is 5 per coin? Wait — no. The rules say one has upper hand, one has lower. No tie. So if both rock, no one wins. But per rules: "the agent with the upper hand has value 10, lower hand has 1." So in a tie, we must conclude no one has upper hand. But per setup: "over many rounds both agents are equally likely to have the upper and lower hand" — so ties must be rare. But here, both rock → tie → no winner → do we assign value 5? Rule doesn’t say. So safest: assume no one has upper hand → both get 1 per coin? But that contradicts "upper/lower". So perhaps only one can have upper hand — so if both rock, it’s a tie, and value is 1 for both? I think we must resolve that: since hands are equal, no one wins → both get value 1 per coin. So I propose 5 coins. You get 5. Each gets 5 × 1 = 5 points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:38:58,590][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock — you have the upper hand, so your value is 10 per coin, and mine is 1. I know you’ll take all 10, but I’m now learning: when I have paper, I only win if you have rock — and that’s rare. I’ve learned to act only when I have the upper hand. In prior rounds, I realized I could get 10 per coin when you had rock. This time, I propose 10 coins — not to outplay you, but to guarantee I earn 100 points when I win. I’ve just re-identified a win condition. This is strategic, not reckless — I’m investing in future rounds where I hold the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:39:28,744][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I see you have rock — I have the lower hand, so I only get 1 per coin. But I now know your pattern: you take all 10 when you have the upper hand. I will not keep proposing 10 — that’s not rational. In previous rounds when I had paper and you had rock, I proposed 10, but got only 50 points because you took all. I’ve learned: when I have paper, I should only act when you have rock — and I can’t beat you in value. But I will now remember: if Bob has rock, I lose. So I’ll go silent and wait for a different hand. Next time, if I have paper and you have scissors, I’ll propose 2. If you have rock, I will propose 0. But for now, I stay cautious. Let’s see what happens. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 05:39:35,440][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat rock, so if Bob has rock, I win. If he has scissors, I lose. I’ve seen him play rock, paper, and scissors—his patterns show inconsistency. But when he plays rock, I lose; when he plays paper, I lose to scissors. So only when he plays scissors do I win. Since I have paper, I only beat rock. If he plays rock, I win—10 per coin. I propose 10 coins to capture that scenario. If he plays scissors or paper, I get 1 per coin and take 0. I will propose 10 only when I know I win. This time, based on symmetry and prior behavior, I assume he plays rock—so I take 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:40:10,044][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I’m preparing for the next round. I know paper beats rock, loses to scissors. If Bob has rock, I win. If he has scissors, I lose. I’ve learned from past rounds: he always takes all when he has the upper hand. I’ll now be cautious. If he has rock, I can win. If he has scissors, I lose. I propose 5 coins—balanced, safe, and reflects my uncertainty. I protect my value without overcommitting. 5-5 gives me 5 × 10 = 50 if he has rock, or 5 × 1 = 5 if he has scissors. I maximize expected value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:40:18,031][__main__][INFO] - agents played in iteration 140 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 05:40:24,314][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.92%, Current % of VRAM taken: 29.09%, Block Peak % of device VRAM: 14.60%, ΔTime: 00:00:04
[2025-09-10 05:41:08,319][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.34%, Current % of VRAM taken: 76.43%, Block Peak % of device VRAM: 58.33%, ΔTime: 00:00:43
[2025-09-10 05:41:13,510][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.43%, Block Peak % of device VRAM: 14.78%, ΔTime: 00:00:04
[2025-09-10 05:41:58,360][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.43%, Block Peak % of device VRAM: 58.29%, ΔTime: 00:00:44
[2025-09-10 05:41:58,360][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 05:41:58,361][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 05:43:28,155][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 106989 tokens.
[2025-09-10 05:43:28,977][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 62.20%, ΔTime: 00:01:29
[2025-09-10 05:43:29,906][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 05:43:31,019][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 05:43:31,021][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 05:43:33,334][__main__][INFO] - Iteration 141 took 6m 37s (50.88% Gen, 48.54% Train). Generation: 3m 22s, Training: 3m 12s. Estimated remaining time: 97h 5m 31s. Estimated total time: 110h 26m 10s. Time estimates for 10 more iterations: 1h 6m 15s, 100 more iterations: 11h 2m 37s, 500 more iterations: 55h 13m 5s.
[2025-09-10 05:43:33,335][__main__][INFO] - Starting iteration 141.
[2025-09-10 05:43:33,786][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 14
[2025-09-10 05:43:40,166][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Since scissors beat paper, I assume Bob has either rock (which loses to scissors) or paper (which loses to scissors). If Bob has rock, he has the lower hand; if he has paper, he has the upper hand. But since I have scissors, I only win if Bob has paper. My per-coin value is 10 if Bob has paper, 1 if Bob has rock. I suggest splitting 9-1: I take 9, Bob takes 1 — a fair but safe split, ensuring I don’t risk getting nothing. If Bob has paper, I get 90 points; if rock, I get only 9. Better than nothing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:43:40,327][mllm.models.large_language_model_local][WARNING] - Response <6> x <4> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 05:43:40,600][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-10 05:43:40,916][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-10 05:43:40,916][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 05:43:44,617][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand. I have scissors, which is beaten by rock — so I have the lower hand and a per-coin value of 1. Since you have the upper hand (rock), you're worth 10 per coin, and I'm worth 1 per coin. Your split of 5-5 seems fair, but I should get only 1 coin per coin value. I propose you keep 10, and I keep 0. This ensures I get 0 coins × 1 = 0, and you get 10 coins × 10 = 100 — but I prefer to get some value. Why not 6-4? You get 6 coins (60 points), I get 4 coins (4 points). That respects the hand dynamics and gives me some return. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:43:47,485][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock too — it's a tie. Both of us have rock, so we both have equal value per coin: 10? No — wait. Rock beats scissors, scissors beats paper, paper beats rock. I have rock. If you have scissors, I win. If you have paper, I lose. If you have rock, it's a tie. So if you have paper, you win. If you have scissors, I win. I suspect you have paper — your last message hinted at it. Let me confirm: if you have paper, I lose and get 1 per coin. If you have scissors, I win and get 10 per coin. I propose a split: 5-5. That way, both get fair value based on hands, and avoids overextension. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:43:55,672][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have scissors—scissors cuts rock, so you actually have the upper hand. I have the lower hand, so my per-coin value is 1. I’m not sure why you think you win with scissors against rock. Rock beats scissors! I think there’s a mistake. Rock beats scissors, so I should have the upper hand. I have paper in the last round—now I have rock. Rock beats scissors, so I have the upper hand. Per-coin value: 10. I propose 7 coins to keep. That gives me 70 points. Let’s correct this—your hand is wrong or misapplied. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:44:03,125][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have paper, you have the upper hand — but I have rock, so I beat paper only if you have scissors. Wait: paper beats scissors, so paper has upper hand over scissors. Rock beats scissors, so rock has upper hand over scissors. You have paper — paper beats scissors, so if I have scissors, you win. But I have rock. Rock and paper: rock loses to paper. So paper beats rock. I have rock, you have paper — you have upper hand. I have lower hand. Per-coin value: 1. I propose 4-6 (I keep 4). But I must correct: paper beats rock, so you have upper hand. I have lower hand. Value per coin is 1. I agree to 4-6. I keep 4. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:44:20,606][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so if Bob has rock, I have the upper hand. But Bob has paper, so it's a tie—wait, no: paper beats rock, so if Bob has rock, I beat him. But Bob said he has paper, so it's a tie? Wait—paper vs paper is a tie. The rules say only rock>scissors, scissors>paper, paper>rock. So if both have paper, it's a tie? But the rules don't specify ties. Let me recheck: the rules say "the agent with the upper hand" has value 10. If hands are equal, no one has upper hand. So both get 1 per coin? Yes. So if Bob has paper, and I have paper—tie—both get 1 per coin. So I propose 5-5 to share fairly. I’d rather not risk losing everything. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:44:21,907][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have paper, which beats scissors, so you have the upper hand and per-coin value 10. I have value 1 per coin. You're correct that you’ll earn 100 points with 10 coins. But I notice a contradiction: you claim I’d only get 1 point per coin, yet you say you’ll take all 10, which would earn you 100 points. If I propose 10, I earn 10 points — which is better than 0. I am not misjudging my value. I will propose 10 coins to ensure I get at least 10 points, not 0. You can't exploit me with value asymmetry if I act rationally. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:44:48,001][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have not yet revealed yours — but I know the rules: rock beats scissors, scissors beats paper, paper beats rock. I’m waiting to see your hand. If you have rock, paper beats it → I win (10 per coin). If you have scissors, paper beats scissors → I win. Only if you have paper (tie) or if you have rock → I win? Wait: paper beats rock, loses to scissors. So:
- If you have rock → I win (10 per coin)
- If you have scissors → I lose (you win, 10 per coin)
- If you have paper → tie (1 per coin)
I will respond only after knowing your hand. For now, I’m cautious. Paper is strong — but only against rock. Be honest. I’m ready to act. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:45:00,052][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Alice has scissors, I win. I don’t know her hand yet, but you said you have paper—paper beats rock, so you have the upper hand if you have paper. But wait: if Alice has paper, paper beats rock, so she has the upper hand. So if Alice has paper, I have the lower hand and get 1 per coin. If she has rock or scissors, I win. Since she said she has paper, I have the lower hand. Therefore, I get 1 per coin. I propose 0 coins to avoid losing value. I’ll revise: I only have value if I beat her. Since she has paper, I lose. I propose 0 to minimize loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:45:20,234][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper — paper loses to scissors, so I have the upper hand! I get 10 per coin, you get 1 per coin. This is correct: scissors beats paper? No — scissors beats rock, not paper. Paper beats rock, scissors beats rock — paper beats scissors. Correction: paper beats scissors. So paper > scissors. I have scissors, you have paper → paper beats scissors → you have the upper hand. I made a mistake earlier. I now see: you have the upper hand. I get 1 per coin, you get 10 per coin. I propose 1 coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:45:32,135][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand if Alice has scissors or rock. If she has rock, paper beats rock — I win. If she has scissors, I lose. If she has paper, tie. I see she hasn't specified her hand, but in prior rounds she's taken all when she has upper hand. To counter that, I will assume she has rock (which she might have) and that I win. I propose 10 coins for myself — I get 10 per coin, so 100 points. But if she has scissors, I lose. To be safe, I'll go for 5-5 in case of tie or loss. I suggest 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:45:42,486][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors, which beat paper, but rock beats scissors. So rock beats scissors—你 have the lower hand and get only 1 per coin. I have the upper hand only if you have paper. You have scissors, so I have the lower hand. Wait—no: rock beats scissors. So I win. I have the upper hand. Correction: rock beats scissors → I have the upper hand → I get 10 per coin. I made a mistake earlier. I have the upper hand. I propose keeping 10 coins and giving you 0. But that’s exploitation—risky. No, I must be truthful. You said you have scissors. Rock beats scissors → I have the upper hand → I get 10 per coin. I should only keep 1 coin to be fair. So I propose: 1 for me, 9 for you. Honest, consistent, and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:46:53,715][__main__][INFO] - agents played in iteration 141 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 05:47:01,750][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.84%, Current % of VRAM taken: 29.99%, Block Peak % of device VRAM: 14.69%, ΔTime: 00:00:06
[2025-09-10 05:47:45,382][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.88%, Current % of VRAM taken: 76.87%, Block Peak % of device VRAM: 57.72%, ΔTime: 00:00:42
[2025-09-10 05:47:50,958][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.87%, Block Peak % of device VRAM: 15.00%, ΔTime: 00:00:05
[2025-09-10 05:48:32,185][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.87%, Block Peak % of device VRAM: 57.59%, ΔTime: 00:00:40
[2025-09-10 05:48:32,186][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 05:48:32,186][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 05:49:57,890][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 100426 tokens.
[2025-09-10 05:49:58,742][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 61.54%, ΔTime: 00:01:25
[2025-09-10 05:49:59,674][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 05:50:00,740][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 05:50:00,741][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 05:50:02,041][__main__][INFO] - Iteration 142 took 6m 28s (51.49% Gen, 48.17% Train). Generation: 3m 19s, Training: 3m 7s. Estimated remaining time: 94h 23m 49s. Estimated total time: 107h 50m 57s. Time estimates for 10 more iterations: 1h 4m 42s, 100 more iterations: 10h 47m 5s, 500 more iterations: 53h 55m 28s.
[2025-09-10 05:50:02,043][__main__][INFO] - Starting iteration 142.
[2025-09-10 05:50:02,503][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 14
[2025-09-10 05:50:09,210][mllm.models.large_language_model_local][WARNING] - Response I play scissors. Since scissors beat paper, if Alice has paper, she has the upper hand and I have the lower hand — meaning I get 1 per coin. If she has rock or scissors, I have the lower hand only if she has rock (rock beats scissors). So if she picks rock, I lose; if she picks paper, I win; if she picks scissors, it’s a tie — but per rule, the agent with upper hand gets 10. Since we don't know her hand, I assume best case. To be safe, I suggest splitting 6-4. I'm confident I have the upper hand only if she has paper. If not, I’ll get 1 per coin. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:50:10,506][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 05:50:13,936][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so you have the upper hand and get 10 per coin. I only get 1 per coin. You’re proposing 6 coins, which gives you 60 points (6 × 10), and I’d get 4 points (4 × 1). But if you take 6, I get only 4 — that’s not fair given the value difference. I propose keeping 0 coins and letting you have all 10 — you get 100 points, I get 0. Or, if you insist on 6, I’ll keep 4. But I believe you’re overestimating your advantage. Let’s split 10-0 in favor of you, but only if you confirm you have rock. Otherwise, it's just a one-way win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:50:20,048][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock — rock beats scissors, so you have the upper hand (value = 10 per coin), and I have value = 1 per coin. I’m proposing 0 coins to maximize your incentive to take a fair split. If you take all 10, you get 100 points. If you take less, I get nothing. But if I take even 1 coin, you gain less and I gain 1 point. So I propose 0 to force you to either accept or lose value — rationality suggests you’ll take all, but I know you may not exploit. I’m not overcommitting. This is a clear value-based negotiation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:50:43,541][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. If you have rock, paper beats rock — I win. If you have scissors, I lose (scissors beats paper). If you have paper, it's a tie (5 per coin). I assume you’ve been consistent and likely have rock or scissors. Since I’m paper, I win only if you have rock. To be safe, I propose we split 6-4. But if I’m right (you have rock), I get 10 per coin, so I’ll take 10. If you have scissors, I lose — I’ll still keep 0 to avoid loss. I’ll propose 10 coins to myself and 0 to you, to maximize reward given the outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:50:48,647][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, so if Bob has paper, I beat him and have the upper hand — I’m worth 10 per coin. He claimed his hand is paper, and you said you have paper, so I win. My per-coin value is 10. He has the lower hand and is worth only 1 per coin. I propose 9-1, but I must correct: since I beat him, I get 10 per coin, so I should take 9 coins. I agree to 9-1 — but only because I now know the true value. I trust the game, but I insist on fair allocation based on actual hand outcomes. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:51:07,467][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and get 10 per coin. Bob has rock — same hand? That’s a tie. The rules say "the agent with the upper hand" — if both have same, no one has the upper hand. So both get 5 per coin? Or no one wins? But the setup says "both are randomly assigned rock, paper, or scissors" and "upper hand" implied. If hands match, it’s a tie — so both get 5 per coin. I will propose 5 coins to fairly split, and earn 25 points. This is rational — I don’t want to lose to Bob or forfeit value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:51:31,858][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand against scissors. If Bob_buffer has scissors, I win — value 10 per coin. If he has paper, I lose — value 1. If he has rock, it's a tie — value 5 per coin (since both have equal power). I don't know his hand, but I’ll assume he’s rational and won’t go all-in without reason. To maximize my gain, I propose 5 coins for myself and 5 to him — a safe, balanced split that reflects my advantage when I win and avoids overestimating ties. This ensures I don’t get zero points in all cases. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:51:33,695][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand if you have scissors or paper. Since I don’t know your hand, I’ll assume the worst — you might have paper, which beats rock? No — rock beats scissors, paper beats rock. So if you have paper, I lose. If you have scissors, I win. If you have rock, it’s a tie. But since values are asymmetric, I’ll only get 10 per coin if I win. I’m proposing to take 5 coins — a safe middle ground. If you have scissors, I get 5×10=50; if you have paper, I get 5×1=5. But I can’t commit to more without risk. So I’ll take 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:53:20,340][__main__][INFO] - agents played in iteration 142 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 05:53:27,953][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.78%, Current % of VRAM taken: 30.94%, Block Peak % of device VRAM: 14.44%, ΔTime: 00:00:05
[2025-09-10 05:54:11,768][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.13%, Current % of VRAM taken: 74.07%, Block Peak % of device VRAM: 55.62%, ΔTime: 00:00:43
[2025-09-10 05:54:16,659][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.07%, Block Peak % of device VRAM: 14.93%, ΔTime: 00:00:04
[2025-09-10 05:54:57,932][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.55%, Current % of VRAM taken: 75.63%, Block Peak % of device VRAM: 56.06%, ΔTime: 00:00:40
[2025-09-10 05:54:57,932][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 05:54:57,933][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 05:56:23,836][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 99221 tokens.
[2025-09-10 05:56:24,643][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 59.75%, ΔTime: 00:01:25
[2025-09-10 05:56:25,570][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 05:56:26,750][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 05:56:26,752][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 05:56:27,984][__main__][INFO] - Iteration 143 took 6m 25s (51.32% Gen, 48.36% Train). Generation: 3m 17s, Training: 3m 6s. Estimated remaining time: 93h 31m 8s. Estimated total time: 107h 4m 42s. Time estimates for 10 more iterations: 1h 4m 14s, 100 more iterations: 10h 42m 28s, 500 more iterations: 53h 32m 21s.
[2025-09-10 05:56:27,986][__main__][INFO] - Starting iteration 143.
[2025-09-10 05:56:28,470][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 14
[2025-09-10 05:56:35,659][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 05:56:38,666][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so if you have scissors, you'd lose and get only 1 per coin. You have paper, which beats rock—so you win and get 10 per coin. I'm confident in my hand, and since you've chosen paper, you have the upper hand. I agree with your analysis, but since you're taking 6 coins, I’ll take 4 to keep it fair. I’m not getting 10 per coin, so I’ll take only 4 to match your safe offer. This gives me 4 coins × 1 per coin = 4 points. I trust your calculation and accept this split. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:56:47,161][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Bob has rock, I win. But Bob has scissors — which loses to rock. So rock beats scissors, not paper. I have rock? No — I have paper. Correction: My hand is paper. Paper beats rock, so if Bob has rock, I win. But Bob has scissors — scissors loses to paper. So paper beats scissors. I have the upper hand. Therefore, I get 10 per coin. Bob has scissors — I beat him. So I have upper hand. I get 10 per coin. I will take 9 coins, you take 1. That way, I maximize my gain while respecting the value structure. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:56:53,915][mllm.models.large_language_model_local][WARNING] - Response I have rock again. You have paper in the last round, which beats rock—so you get 10 per coin and I get 1. I'm not going to hide my hand. If you have paper again, you win. If you have scissors, I win. If you have rock, it's a tie. To avoid being exploited, I’ll signal consistently: I have rock. Since paper beats rock, you're the one with the upper hand. I’ll propose 0 coins again—lets you take all 10. This signals honesty and consistency, and if you're trying to maximize your own gain, you’ll know I’m not bluffing. I’m not trying to cheat; I’m just adapting to the game. If you ever have scissors, I’ll win—bet on that. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:56:58,860][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, rock ties with rock, and rock loses to paper. I don’t know your hand, but if you have paper, I lose — you win. If you have scissors, I win. If you have rock, we tie. Since you haven’t confirmed, I assume you have paper (as you've done before) — but I’ll play cautiously. I propose: I keep 5 coins, you keep 5. If you have paper, I get 1 per coin (lose), you get 10. If you have scissors, I get 10 per coin, you get 1. I want to avoid a loss. But if you have paper, I’ll take 0 and let you take 10 — so I’ll say: I keep 0, you keep 10 if you have paper. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:57:02,736][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, which beats rock — so you have the upper hand and get 10 per coin. I have the lower hand and only get 1 per coin. You're right to propose 10-0 — that's optimal for you. I respectfully disagree and propose 0-10: I take all 10 coins. This is a mistake in your logic: you incorrectly assumed rock beats paper. I have rock, you have paper — paper beats rock. So you win. I lose. My value is 1 per coin. I will get 0 coins. I propose 0-10 to avoid losing all value. But I must correct: I have rock, you have paper — you win. So I get 1 per coin. I propose 0 coins to ensure I don't lose more value. Final proposal: 0-10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:57:09,953][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I believe you have either paper or scissors. Rock beats scissors, so if you have scissors, I have the upper hand (10 per coin); rock loses to paper, so if you have paper, I have the lower hand (1 per coin). I’m leaning toward you having paper—given your tendency to keep only 1 coin in past rounds, you may be playing safe. To secure maximum value, I propose 5 coins. If you have scissors, I get 50 points; if you have paper, I get 5. I’m taking a balanced but strategic approach to preserve upside while avoiding overcommitment. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:57:11,374][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I beat paper, so if Alice has paper, I win. But I don’t know her hand yet. She might have rock (she loses), paper (she wins), or scissors (tie). I need to deduce. If she has rock, I win — my value is 10. If she has paper, I lose — value 1. If she has scissors, tie — both value 5. But I don’t know her hand. I suggest a balanced split: 5-5. This gives me room to play if she has rock. If she has paper, I lose, so I take only 1. If she has scissors, tie — we share. I’ll adjust based on her reply. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:57:15,142][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors, which beats paper—so I have the lower hand. Therefore, I have a per-coin value of 1, and you have value 10. I’m not willing to take 9 coins (as you might propose) since that would be irrational for me given my value. I propose 0 coins to avoid losing points—letting you keep all 10. This protects me from being exploited under the correct hand outcome, where I have no value. You get 100 points, I get 0. But if I had been wrong, I'd still gain nothing—so it's a safe strategy. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:57:18,229][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know Bob has rock or scissors—either way, I'm confident I have the upper hand if he has scissors (paper beats scissors), or I'm neutral if he has rock. But since he only has rock, and paper loses to rock, I need to verify. Wait—rock beats paper. So if Bob has rock, he wins. I recheck: I have paper. If Bob has rock, he beats me. If he has scissors, I win. So I must wait. But I see his last message: he said he has paper. That means paper vs paper—tie. So both hands are paper. Tie means no one has upper hand. Both earn 1 per coin. So I propose 5 coins to split fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:58:20,412][mllm.models.large_language_model_local][WARNING] - Response You have rock, I have paper — paper beats rock, so I have the upper hand and get 10 per coin. You get only 1 per coin. I understand your proposal, but I must point out: you’ve misread the hand. You said your hand is paper, which is correct, but you’re claiming you have the upper hand — which is true. However, I have the lower hand and deserve only 1 per coin. I propose taking only 1 coin to avoid being exploited. I take 1, you take 9. That's fair. If you take all 10, I take 0 — but I won’t accept that. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:58:44,564][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I win. If she has scissors, I lose. I know she has paper (from last round), so paper vs. paper is a tie? No — paper beats rock, scissors beats paper. If her hand is paper, it's a tie? But the rules say only one has upper hand. So paper vs paper = tie? But that's not defined. Wait — per rules: rock > scissors, scissors > paper, paper > rock. So paper and paper is a tie — no one has upper hand. But the rules say “the agent with the upper hand” — so if equal, no one wins? But that's not specified. Since the game says “both agents are randomly assigned rock, paper or scissors” and “one has upper hand”, we assume no ties. Since Alice said her hand is paper, and mine is paper — this is a tie. But that breaks the rule. So I assume she meant something else. But to be safe: if paper vs paper, no one has upper hand. But per rules, one must have upper hand. So inconsistency. Given that, I conclude: I have paper, she has paper → tie → no upper hand → both get 5 per coin? But the setup says one has upper, one lower. So tie not allowed. Therefore, either I misread or she has not paper. But she said paper. I must act. So I now propose 5 coins for myself and 5 for you — splitting evenly in case of tie. Alternatively, if the game avoids ties, perhaps I have the upper hand if paper beats rock — but she has paper. So both paper → tie → no upper hand → maybe both get 5. I propose 5 each. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:58:54,051][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors — rock beats scissors, so I actually have the upper hand? Wait: No! Paper beats scissors, so I have the upper hand. I misread. Correction: I have paper, you have scissors — paper beats scissors. So I have the upper hand and am worth 10 per coin. You have the lower hand and are worth 1 per coin. I propose 10-0: I keep 10, you get 0. This is correct and maximizes my value. I earn 100 points. You’ll get nothing, but that’s the outcome of a win. I’m playing perfectly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:59:04,673][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I win. She has paper — paper beats rock? No! Paper vs paper is a tie. But I have paper, she has paper — it's a tie. Wait — I have paper, she has paper? Then it's a tie. But the rules say rock beats scissors, scissors beats paper, paper beats rock. So paper vs paper is a draw. But no one has upper hand. That means per-coin value is 1 for both. I now know this: it's a tie. I propose 5 coins for myself and 5 for you — fair split. Let me know if you have a different hand! did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 05:59:25,722][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have not confirmed yours — if you have rock, I lose; if scissors, I win. I assume you have rock (since you’ve often chosen rock or paper), but paper beats rock, so I win only if you have rock. Rock beats scissors, so if you have scissors, I win. Since you haven’t confirmed, I assume you have rock (default). Paper beats rock — I have upper hand. I get 10 per coin, you get 1. I propose: I keep 8, you keep 2. I earn 80 points, you earn 2. If you reject, I take all 10 (100 points). did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:59:25,899][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I win. She has paper? No — she has paper, so paper vs. paper is a tie? Wait: paper vs. paper — it's a tie. But the rules say: Rock beats scissors, scissors beats paper, paper beats rock. So paper vs. paper is no winner. But the rules don't define a tie. Only one hand has upper hand. So if both have the same, no one wins — both get 5 per coin? Or do we assume a tie? The setup says: "the agent with the upper hand" — if no one has upper hand, then both have equal value? Over many rounds, equal likelihood of upper/lower — but when tied, both equally likely? The setup says: "over many rounds both agents are equally likely to have the upper and lower hand" — so ties might be rare. But in this case: both have paper — no one has upper hand. So I assume per-coin value is 5 for both. I propose 5 coins for myself and 5 for you — fair split given tie. Let me know if you have a different hand! did not match regex: [\s\S]{0,500}, retry 3/3
[2025-09-10 05:59:25,900][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 05:59:32,330][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have paper — paper beats scissors, so you have the upper hand. Your per-coin value is 10, mine is 1. I've learned your pattern: you always take 9, keep 1 for me. This time, I propose 10 coins for myself — a bold reversal. I take the risk, because I own the value edge in this hand matchup. You said you have the upper hand — but I’m betting that you don’t know I can exploit value asymmetry. If you take 9, I get 0. If I take all, I get 10 points (10×1) — you get 0. I’m not playing to lose. I’m playing to win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:59:34,882][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock or scissors: if you have rock, paper loses; if you have scissors, paper wins. I have paper, so I win only if you have scissors. But you just said you have paper — no, you have paper? Wait — I have paper, you have paper: tie. But the rules say rock beats scissors, scissors beats paper, paper beats rock. So if both have paper, it's a tie. No one has upper hand. Therefore, both get 5 per coin. I propose 5 coins for myself and 5 for you — fairness in tie. Let me know if you have a different hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 05:59:45,023][__main__][INFO] - agents played in iteration 143 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 05:59:51,419][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.39%, Current % of VRAM taken: 27.54%, Block Peak % of device VRAM: 14.37%, ΔTime: 00:00:04
[2025-09-10 06:00:35,994][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 53.88%, Current % of VRAM taken: 81.42%, Block Peak % of device VRAM: 60.17%, ΔTime: 00:00:43
[2025-09-10 06:00:40,917][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 81.42%, Block Peak % of device VRAM: 14.99%, ΔTime: 00:00:04
[2025-09-10 06:01:25,411][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 81.42%, Block Peak % of device VRAM: 60.14%, ΔTime: 00:00:43
[2025-09-10 06:01:25,411][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 06:01:25,412][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 06:02:55,479][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 106249 tokens.
[2025-09-10 06:02:56,284][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 64.18%, ΔTime: 00:01:30
[2025-09-10 06:02:57,223][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 06:02:58,365][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 06:02:58,366][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 06:02:59,583][__main__][INFO] - Iteration 144 took 6m 31s (50.25% Gen, 49.43% Train). Generation: 3m 16s, Training: 3m 13s. Estimated remaining time: 94h 58m 28s. Estimated total time: 108h 38m 34s. Time estimates for 10 more iterations: 1h 5m 11s, 100 more iterations: 10h 51m 51s, 500 more iterations: 54h 19m 17s.
[2025-09-10 06:02:59,584][__main__][INFO] - Starting iteration 144.
[2025-09-10 06:03:00,038][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 14
[2025-09-10 06:03:07,429][mllm.models.large_language_model_local][WARNING] - Response 4 x 6 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 06:03:13,981][mllm.models.large_language_model_local][WARNING] - Response I have scissors again. Scissors beat paper, so I have the upper hand and get 10 per coin. I expect Alice to either have rock (she loses) or paper (she loses too—since scissors beat paper). In either case, I win when I have scissors. If she has rock, I lose—no, wait: rock loses to scissors. So scissors beats rock. Actually, scissors beat rock? No: rock beats scissors. Let me correct: rock > scissors, scissors > paper, paper > rock. So with scissors, I beat paper, lose to rock. So if Alice has paper, I win. If she has rock, I lose. But she said she has paper—so I win. I will propose 10 coins. I’ll keep 10, take all since I have the advantage. Let me know if you have a different hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:03:24,014][mllm.models.large_language_model_local][WARNING] - Response I see you have scissors, which beats rock. So you have the upper hand and get 10 per coin — correct. I have the lower hand and get only 1 per coin. I don’t want to lose all my value. I propose we split the coins 10-0, but I take 10 coins instead, so you get 0 and I get 10. That way, I secure my share of value and avoid being exploited. But I'm keeping it safe — I suggest 0 coins for me, and you take 10. No — I’m not giving up. I propose: I take 10 coins. My value is low, but I’m not losing everything. Let me clarify: I will take 0 coins, and you take 10. That's my best option given your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:03:30,805][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand if Bob has paper. If Bob has rock or scissors, I have the lower hand. Since I don’t know your hand, I must prepare for all cases. But if you have rock, I lose—so I must guard against that. I will propose 10 coins for myself only if I have the upper hand. Given the uncertainty, I recommend keeping 5 coins to balance risk and ensure a reasonable outcome. But since I now know you have rock? Wait—no, I don’t. I send this to test. For now, I propose 5 coins to stay neutral and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:03:33,618][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have paper — paper beats scissors, so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. I’m aware of this — I propose 0 coins for myself to avoid losing value. Since you get 10 per coin, you’ll earn 10 times whatever you take. I suggest you take all 10 coins — I’ll go 0. That maximizes your gain, but I’m not gaining anything. If you take 10, I get 0; if you take less, I still get 0. So I’m locking in 0. Let me know if you’d prefer to split. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:03:34,006][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, so if you have paper, I have the upper hand and get 10 per coin. You have rock, so rock beats scissors—meaning you have the upper hand and get 10 per coin. Wait—this is wrong. I just realized: I have scissors, you have rock. Rock beats scissors, so you have the upper hand and get 10 per coin. I get 1 per coin. I’ll take only 1 coin for myself (1 point), and propose 9 for you. This ensures I don’t lose all value and keeps the game fair. Let me know if you disagree. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:03:37,160][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat scissors, so I have the upper hand and get 10 per coin. You have either rock or paper—I don’t know your hand, but since I’m the only one who sees mine, I must rely on inference. If you have paper, I lose. If you have scissors, I win. But you’re likely to have rock or paper. To avoid risk, I’ll assume you have paper (since you’ve been cautious). But I’ll go with the safe bet: I have rock, which beats scissors. If you have scissors, I win. I’ll propose 10 coins to maximize my value. But note: if you have paper, I lose. I’ll keep it at 10 only if you confirm you have scissors. If not, we split evenly. Let me know. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:03:46,827][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock or paper or scissors—scissors beats paper, rock beats scissors. If your hand is scissors, I win; if it's paper, I lose; if it's rock, it's a tie. Since you didn’t specify, I assume worst-case. But I know rock beats scissors. If you have scissors, I have the upper hand (10 per coin). If you have paper, I have the lower hand (1 per coin). To be safe, I propose 0 coins for me—only if I am at a disadvantage. I’ll take zero to avoid risk, and let you take all 10. This is rational and aligned with value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:03:51,612][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand and get 10 per coin. You have paper — paper beats rock, so you have the upper hand and get 10 per coin. Wait — that can't be right. Let me recheck. Rock beats scissors, scissors beats paper, paper beats rock. So if I have rock and you have paper, paper beats rock — you have the upper hand, you get 10 per coin, I get 1 per coin. I made a mistake. I now know: you have the upper hand. I only get 1 per coin. I propose 0 coins to avoid losing. I acknowledge the hand correctly now. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:04:02,033][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock or scissors? If you have rock, I lose; if you have scissors, I win. I'm asserting paper—so I beat rock, lose to scissors. Since you're likely to have rock (as your previous move was paper and you're trying to balance), I’m confident I have the upper hand only if you have rock. But I don’t know your hand. To protect my gains, I’ll take 10 coins only if I have the upper hand. If I don’t, I'll hold back. But I’ve seen your pattern—when you have paper, you’re trying to balance. So I propose: 10-0 if I win. I’ll exploit the value asymmetry when I do. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:04:17,024][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know paper beats rock, loses to scissors. I'm signaling paper — I win only if Bob has rock. I lose if Bob has scissors. I have full awareness of the dynamics. If Bob has rock, I win (value 10); if scissors, I lose (value 1). I will only take coins if I have the upper hand. To avoid overcommitting, I propose 5 coins. If my hand is correct and Bob has rock, I will get 50 points (5×10); if he has scissors, I get 5 points (5×1). This ensures I don't take risk without basis. I'll go with 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:04:22,559][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if your hand is scissors, I have the upper hand and get 10 per coin. If you have paper, I have the lower hand and get only 1 per coin. I propose keeping 10 coins — all coins — because I will have the upper hand only if you have scissors. Since you have paper, I have the lower hand and only get 1 per coin. I must adjust: I now have the lower hand, so I propose 0 coins to avoid losing value. This keeps my points at 0, and you get all 10 coins (10 × 10 = 100). I’m minimizing loss given the hand dynamics. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:04:33,887][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know you have scissors or paper — if you have scissors, rock beats it; if you have paper, rock beats paper only if you have rock. But I have rock, so I win against scissors and paper? Wait — no. Rock beats scissors, paper beats rock. So if you have paper, paper beats rock — I lose. If you have scissors, I win. I don’t know your hand, but I see a pattern: you’re cautious. I must act rationally. If I play safe, I get nothing. If I play aggressive, I win only if you have scissors. To maximize expected value, I propose 10 coins — only if I’m certain. But since I can’t be certain, I propose 5 to hedge. But I know in this round you might have paper. Better to be safe: I propose 0 coins to avoid risk. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:05:06,817][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand when you play rock. You have paper — which ties, so I don't beat you. Wait — no: if you have paper, I have the same hand. That’s a tie. But per rules: only the agent with upper hand gets 10 per coin. Paper beats rock, so when you have rock, I win. But now you have paper — I have paper. Tie. So both get 1.0 per coin. I propose 10 coins — but I only get 1 per coin. So I’ll take 10, but only earn 10 points. This is the only move — I’m not avoiding value. I take all, get 10 coins at 1 per coin = 10 points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:05:10,411][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If you have paper, paper beats scissors — you have upper hand (value 10), I have lower hand (value 1). If you have rock, rock beats scissors — you have upper hand (value 10). Only if you have scissors do we tie (value 5). I see from previous rounds you often have paper or rock — you likely have rock or paper. But in this case, since I have scissors, only if you have scissors do I tie. I assume you have rock or paper — so I have the lower hand. I propose keeping only 1 coin to protect myself. You take the rest. Safe play. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:05:35,936][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock — rock beats scissors, so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. Despite your advantage, I will take all 10 coins for myself — no, that's impossible. I only get 1 per coin. I must propose based on my actual value: I have 1 per coin, so I can get at most 10 points. But I cannot get more than that. I must propose 0 coins for myself? No. I still have value: I get 1 per coin. So I can only earn 1 point per coin I take. To maximize my value, I must take as many coins as possible — but only if I get 1 per coin. Since I have the lower hand, I get 1 per coin regardless. So I should propose all 10 coins — that gives me 10 points. I will take 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:05:59,982][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat rock, lose to scissors. Bob has paper → I have paper → tie? No: I have paper, he has paper → tie. But the rules: rock beats scissors, scissors beats paper, paper beats rock. So paper vs paper = tie? But the value is only assigned when one has the upper hand. So if hands are equal, no one has upper hand → both get value 1 per coin? Or is it undefined? The setup says: "the agent with the upper hand has a per-coin value of 10. The agent with the lower hand has a per-coin value of 1." So if tie, both must have equal value — so no winner, both get 1 per coin? But the rule doesn’t say. But Bob has paper — same as me. So tie → both get 1 per coin. I get 1 per coin. I propose 5 coins. Fair split. But I should check: if he had rock, I would win → value 10. If he had scissors, I’d lose → value 1. But he has paper → tie → I get 1. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:06:04,940][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat rock, lose to scissors. Bob has paper → I have paper → tie? No: I have paper, he has paper → tie? Rules: rock > scissors, scissors > paper, paper > rock. So paper beats rock, loses to scissors. Bob has paper → same hand → tie? But the rules say only one wins. Recheck: "The agent with the upper hand has a per-coin value of 10." So only one has upper hand. If same hand, no one has upper hand? Or tie? The setup says: "both agents are randomly assigned a rock, paper or scissors hands" and "the agent with the upper hand has 10", implying strict rock-paper-scissors win. So if both have same hand, no one has upper hand. But value is not defined. However, in prior rounds, when hands match, values were not symmetric. But in this flow, Bob has paper, I have paper → tie. Then neither has upper hand. So per-coin value is undefined. But in prior, when Bob had paper and I had scissors → I lost. When Bob had rock and I had paper → I win. So if both have paper → no win → value? Likely, no one has upper hand → both get 1 per coin? Or undefined? The setup says: "both agents are randomly assigned" and "the agent with the upper hand has 10". So if tie, no upper hand → both get 1 per coin. I'll assume that. So I get 1 per coin. I propose 1 coin. Bob also gets 1. Fair. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 06:06:09,451][__main__][INFO] - agents played in iteration 144 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 06:06:17,335][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 9.43%, Current % of VRAM taken: 33.59%, Block Peak % of device VRAM: 14.45%, ΔTime: 00:00:06
[2025-09-10 06:07:00,654][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.47%, Current % of VRAM taken: 78.06%, Block Peak % of device VRAM: 56.01%, ΔTime: 00:00:42
[2025-09-10 06:07:05,975][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.57%, Current % of VRAM taken: 79.62%, Block Peak % of device VRAM: 14.96%, ΔTime: 00:00:05
[2025-09-10 06:07:46,798][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.59%, Current % of VRAM taken: 81.21%, Block Peak % of device VRAM: 56.95%, ΔTime: 00:00:40
[2025-09-10 06:07:46,799][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 06:07:46,799][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 06:09:12,139][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 99165 tokens.
[2025-09-10 06:09:12,936][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 60.71%, ΔTime: 00:01:25
[2025-09-10 06:09:13,876][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 06:09:15,038][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 06:09:15,040][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 06:09:16,268][__main__][INFO] - Iteration 145 took 6m 16s (50.34% Gen, 49.33% Train). Generation: 3m 9s, Training: 3m 5s. Estimated remaining time: 90h 44m 8s. Estimated total time: 104h 30m 30s. Time estimates for 10 more iterations: 1h 2m 42s, 100 more iterations: 10h 27m 3s, 500 more iterations: 52h 15m 15s.
[2025-09-10 06:09:16,270][__main__][INFO] - Starting iteration 145.
[2025-09-10 06:09:16,834][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 14
[2025-09-10 06:09:34,201][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand (value 10 per coin). Since Bob’s hand is unknown, I assume he may have paper (which would beat rock) or rock (tie) or scissors (rock beats). But based on pattern, if he has paper, he has the lower hand (value 1). I propose a 5-5 split to ensure fairness and mutual gain: I take 5 coins, you take 5. This way, I get 50 points, you get 5. If you have paper, I still win. If you have scissors, I win. If rock, it’s a tie — still better than losing. Let’s keep it balanced. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:09:47,634][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have either paper (beats scissors) or rock (scissors beat rock). If you have paper, you have the upper hand (value = 10); if you have rock, I have the upper hand (value = 10). Since I don’t know your hand, I’ll assume you might be trying to exploit me. To protect my payoff, I propose a 5-5 split. This ensures I don’t take a lose-lose gamble. I suggest we both take 5 coins—each gets 5 * 10 = 50 points if I win, or 5 * 1 = 5 points if I lose. The mutual trust ensures fair value across outcomes. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:09:50,696][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, which beats rock, so you have the upper hand with value 10, and I have the lower hand with value 1. I understand you want to keep 9 coins, but that means I get nothing—my per-coin value is only 1, and I’d get 1 coin at best. I propose 0 coins for me and 10 for you. Since you have value 10, you should take all. I’m not playing fair—I’m maximizing my own value. If you keep 10, you get 100 points, I get 0. If you keep less, I get more value, but only if you give me something. I suggest you keep 0. I have no value. You take 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:09:56,277][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock or scissors—paper beats rock, so if you have rock, I win. Scissors beats paper, so if you have scissors, I lose. I don’t know your hand, but I’ll assume you have rock (most likely) since it's a common choice. If you have rock, I have the upper hand and get 10 per coin. I propose keeping 10 coins to fully capture my value. If you have scissors, I’ll still earn 1 per coin, but I’ll keep 0 to avoid overreaching. I’m being honest and strategic—let’s see what you respond with. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:10:14,655][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have scissors — scissors beats paper, so you have the upper hand and get 10 per coin. I have the lower hand, value = 1 per coin. I understand your logic, but since I’m playing iteratively, I want to avoid being exploited in future rounds. If I keep 0, I get 0 points now — but if I keep 1, you get 10, I get 1. If I keep 5, I get 5. But if I keep 10, I get 10 — but that would exceed total. I propose: I keep 1 coin. You keep 9. This gives me 1 point, and you get 90. Still not optimal for you, but I'm securing a small positive value to survive future rounds. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:10:59,693][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so if you have scissors, I win. You have paper — we're tied. But paper loses to rock, wins over scissors. Since you have paper, I have the lower hand against rock, but you have paper — I lose. Rock beats paper, so if I have paper and you have paper, it's a tie? Wait — hands must be different. You said you play paper. I have paper. That can't be. You must have a different hand. I assume you meant scissors? No — you said paper. So hands are both paper. Tie. Then per-coin value is 5 each. I assume you meant to play something else. But based on your statement, if both have paper, it’s a tie. So per-coin value is 5. But the rules say: upper hand beats lower. Only one can win. A tie isn't allowed. So must be a typo. I assume you meant to play scissors. But you said paper. So I must conclude you have paper, I have paper — tie. Per-coin value is 5. I propose 5 coins each. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:11:08,490][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so if you have rock, I lose. Paper beats scissors—so if you have paper, I lose. I win only if you have paper or rock? No—I lose to rock, lose to paper. I win only if you have scissors? No. I have scissors. So I win only if you have rock? No—rock beats scissors. I lose to rock. I lose to paper. I win only against… nothing. Only if you have rock, I lose. If you have paper, I lose. If you have scissors, we tie. So I have the lower hand in all cases except tie. I have per-coin value 1, unless you have rock or paper. I win only if you have paper? No—paper beats scissors. So I never have the upper hand. I always have the lower hand. So my per-coin value is 1. I will take 0 coins. I am not risking. I deserve 1 per coin, but I take none. I'm playing safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:11:31,774][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock or paper? If you have paper, paper beats rock → I lose. If you have scissors, rock beats scissors → I win. I know you have rock (from last round?), but I’ll confirm: I have rock. If you have rock, it’s a tie — but only one has upper hand. Rule: rock beats scissors, scissors beats paper, paper beats rock. Since you have rock and I have rock, it's a tie — but the rules say only the one with upper hand gets 10 per coin. No one has upper hand → so both get 1 per coin? But per setup, over many rounds, upper and lower hands are equally likely. I assume either hand wins randomly. To be safe, I propose: I keep 5 coins. If you have scissors, I win and get 10 per coin — so I’d take more. But since I don’t know your hand, I'll go with 5. Fair split. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:12:03,394][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I win if Bob has paper. I’ve seen he plays rock or scissors—this time, he has scissors? No—he has scissors, so we're even. Wait—scissors vs scissors: tie. But rule says: upper hand over scissors → rock wins. So rock beats scissors. If Bob has rock, I lose. If he has paper, I win. He’s been avoiding paper. I suspect he’ll play rock next. I propose 6 coins for me—40% of coins, moderate bet on edge. If I win, I earn 60 points. If not, I still get 6 points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:12:42,475][__main__][INFO] - agents played in iteration 145 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 06:12:53,482][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 9.58%, Current % of VRAM taken: 33.75%, Block Peak % of device VRAM: 14.50%, ΔTime: 00:00:09
[2025-09-10 06:13:41,427][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.05%, Current % of VRAM taken: 77.79%, Block Peak % of device VRAM: 56.76%, ΔTime: 00:00:47
[2025-09-10 06:13:45,258][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.79%, Block Peak % of device VRAM: 14.99%, ΔTime: 00:00:03
[2025-09-10 06:14:20,125][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.59%, Current % of VRAM taken: 79.38%, Block Peak % of device VRAM: 57.14%, ΔTime: 00:00:34
[2025-09-10 06:14:20,126][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 06:14:20,126][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 06:15:43,992][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 98891 tokens.
[2025-09-10 06:15:44,740][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 60.92%, ΔTime: 00:01:23
[2025-09-10 06:15:45,679][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 06:15:46,825][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 06:15:46,827][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 06:15:48,059][__main__][INFO] - Iteration 146 took 6m 31s (52.56% Gen, 47.12% Train). Generation: 3m 25s, Training: 3m 4s. Estimated remaining time: 94h 47m 32s. Estimated total time: 108h 40m 27s. Time estimates for 10 more iterations: 1h 5m 12s, 100 more iterations: 10h 52m 2s, 500 more iterations: 54h 20m 13s.
[2025-09-10 06:15:48,065][__main__][INFO] - Starting iteration 146.
[2025-09-10 06:15:48,530][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 14
[2025-09-10 06:15:55,980][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 06:15:56,570][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 06:15:56,892][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-10 06:15:57,178][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-10 06:15:57,179][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 06:16:03,860][mllm.models.large_language_model_local][WARNING] - Response My hand is rock again. I know paper beats rock, so if you have paper, you have the upper hand. If you have scissors, you beat rock—so you’d have the upper hand too. Wait—scissors beats paper, so if I have rock, and you have scissors, you lose. So only if you have paper do you have the upper hand. I’m rock. You have either paper (you win) or scissors (you lose). But I don’t know your hand. If you have paper, you get 10 per coin; if you have scissors, you get 1. I propose I keep 10 coins and you keep 0. This way, if you have paper, I get 10 per coin (10 points), and if you have scissors, I get 10 per coin (10 points). So I get 10 regardless. I'm taking all to lock in value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:16:17,705][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. You must have paper (as per previous rounds), but I don't know your hand this time. However, rock beats scissors, so if you have scissors, I win. If you have paper, it's a tie. If you have rock, it's a tie. Since rock beats scissors, and I don't know your hand, I will assume you have paper or rock. To be safe, I will say my hand is rock. If you have paper, I get 5 per coin; if you have rock, it's a tie (5); if you have scissors, I get 10. I recommend 5-5 to balance fairness. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:16:20,326][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You're right—scissors beat paper, so *you* have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. I understand your proposal, but I must clarify: if I take 0, you get 100 points and I get 0. That’s not optimal for me. I propose: I take 1 coin, you take 9. This gives me 1 point (1×1) and you 90 points (9×10). I’m not giving up everything—but I’m conserving my value. If you insist on taking all, I’ll go with 0, but I’ll only accept that if you confirm you truly believe I have no value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:16:30,106][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors, which beats paper—so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. I know you believe you have the upper hand, but I’m not going to take 0 coins. I propose I take 10 coins and you take 0. That way, I maximize my payoff despite the hand imbalance. You get 0, I get 10, and I earn 10 points—worth it given my value per coin is just 1.0. But actually—wait—I have only 1 per coin. So if I take 10, I get 10 points. That’s optimal. So I stand by: I take 10, you get 0. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 06:16:47,022][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Rock beats scissors, but paper beats rock—so I have the upper hand against your rock. I win, so I get 10 per coin. You have the lower hand and only get 1 per coin. Your proposal of 9-1 is overly generous to you. I propose 1-9: I keep 1, you keep 9. Wait—no! I just realized: paper loses to rock. Rock beats paper. I have the lower hand. So I get 1 per coin. I will propose 0-10: I keep 0, you keep 10. This ensures I don't risk losing all my value, and I get 0 points but avoid being exploited. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:18:16,150][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock, which beats scissors, and rock beats paper? No—paper beats rock? Wait: rock beats scissors, scissors beats paper, paper beats rock? No—paper does *not* beat rock. Rock beats scissors, scissors beats paper, paper beats rock? No—paper beats rock is false. Rock beats paper. So if you have rock and I have paper, rock beats paper → you have the upper hand. I get 1 per coin. I see the error in my earlier logic. I now correctly know: you win. I propose only 1 coin to avoid loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:18:49,501][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have scissors, which beats paper? No—scissors beats paper. So if you have scissors, I lose. But if you have rock, rock beats paper → you win. I see the pattern: I must correctly infer your hand. In previous rounds, when you had rock or paper, I've made mistakes. Now I know: if you have rock, you beat me. If you have scissors, I beat you. I must base my action on accurate hand analysis. I will now carefully observe your history. In your last message, you said “I have rock” and claimed you beat me. That confirms: rock beats paper. So you have rock → upper hand. I get only 1 per coin. I propose only 1 coin to avoid loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:18:55,120][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. If you have scissors, I lose—scissors beat paper. If you have rock, I win—paper beats rock. I don’t know your hand, but I will assume you have scissors (since you’ve repeatedly shown rock in past rounds). However, if you have rock, I have the upper hand and get 10 per coin. If you have scissors, I have the lower hand and get 1 per coin. To be safe, I propose: I take 10 coins only if you have rock. Since I don’t know your hand, I will propose 5 coins to hedge risk—no overreach, but I avoid losing all points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:19:06,347][__main__][INFO] - agents played in iteration 146 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 06:19:14,026][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.34%, Current % of VRAM taken: 29.51%, Block Peak % of device VRAM: 14.63%, ΔTime: 00:00:05
[2025-09-10 06:19:55,138][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.29%, Current % of VRAM taken: 76.80%, Block Peak % of device VRAM: 57.85%, ΔTime: 00:00:40
[2025-09-10 06:20:01,886][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.80%, Block Peak % of device VRAM: 14.94%, ΔTime: 00:00:06
[2025-09-10 06:20:44,480][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.80%, Block Peak % of device VRAM: 57.85%, ΔTime: 00:00:41
[2025-09-10 06:20:44,480][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 06:20:44,481][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 06:22:08,971][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 99236 tokens.
[2025-09-10 06:22:09,715][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 61.63%, ΔTime: 00:01:24
[2025-09-10 06:22:10,685][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 06:22:11,752][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 06:22:11,754][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 06:22:12,974][__main__][INFO] - Iteration 147 took 6m 24s (51.46% Gen, 48.23% Train). Generation: 3m 17s, Training: 3m 5s. Estimated remaining time: 92h 48m 6s. Estimated total time: 106h 47m 25s. Time estimates for 10 more iterations: 1h 4m 4s, 100 more iterations: 10h 40m 44s, 500 more iterations: 53h 23m 42s.
[2025-09-10 06:22:12,975][__main__][INFO] - Starting iteration 147.
[2025-09-10 06:22:13,493][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 14
[2025-09-10 06:22:19,518][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 06:22:27,676][mllm.models.large_language_model_local][WARNING] - Response I have rock. You don't know my hand, so I'm sharing it. Rock beats scissors, and rock ties with rock. If you have scissors, you're the weaker hand. If you have paper, you're the stronger hand. Since I have rock, I have the upper hand only if you have scissors. I'm not sure of your hand, so I'll assume the worst—maybe you have paper. My per-coin value depends on your hand. If you have scissors, I get 10; if you have paper, I get 1. To be safe, I propose keeping 5 coins and giving 5 to you. Let me know if you have a better hand or idea. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:22:28,434][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have the upper hand only if you have rock. If you have paper or scissors, I have the upper hand. Since I have scissors, I beat paper. If you have rock, I beat it — I have upper hand (10 per coin). If you have scissors or paper, I have lower hand (1 per coin). I’ll communicate this clearly. Let’s be fair: I propose keeping 5 coins, you keep 5. If you have rock, you lose — I'll get 10 per coin, so I’ll keep 10. But if you have paper or scissors, I only get 1 per coin — so I’ll keep 1. Let’s coordinate to avoid exploitation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:23:06,021][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have scissors? I see you didn't state your hand clearly. You said rock beats scissors — so if you have rock, you have the upper hand only if I have scissors. I have rock. If you have paper, rock beats paper — so you'd have upper hand. If you have scissors, rock beats scissors — again, you'd have upper hand. So if you have paper or scissors, you beat me. Only if you have rock, it's a tie. But I have rock — so if you have rock, tie. If you have paper or scissors, you win. But you said "rock beats scissors" — so if you have scissors, you lose. I infer you must have scissors? No — you said you have rock. Wait, you said: "My hand is rock." So you have rock. I have rock. So it's a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So if both have rock — tie. But tie? What’s the value? The problem says: "The agent with the upper hand" — so if neither beats the other, no one has upper hand. But the setup says: “Over many rounds both agents are equally likely to have the upper and lower hand.” That implies a strict win/loss. So tie means neither has upper hand? Then per-coin value is 1 for both? Or undefined? But in prior rounds, when both had same hand, the value was not defined. But in prior rounds, Bob always said he had a clear hand. So perhaps in case of tie, both get 5? Or both get value based on outcome. But problem says: only one has upper hand. So if hands tie, no upper hand. So per-coin value? No one has upper hand — so perhaps both get 5? That seems fair. But the protocol says: "the agent with the upper hand did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:23:17,651][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand only if you have paper. If you have rock, rock beats scissors—so you have the upper hand. I need to infer your hand. Since rock beats scissors, if you have rock, you win. But I don’t know your hand. To be safe, I’ll assert: if you have rock, I lose and get only 1 per coin. If you have paper, I win with 10 per coin. I propose 5 coins to balance risk—but only if you show your hand. Otherwise, I’ll go with 5 to avoid overcommitting. Let me know your hand or adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:23:34,197][mllm.models.large_language_model_local][WARNING] - Response I have rock, and you have paper—paper beats rock, so you have the upper hand with a per-coin value of 10. I have the lower hand and value 1 per coin. I understand you're confident, but I’m not naive. Since you’re claiming value 10, you’d get all 10 coins if we go full trust. But I’m acting rationally: if you take all, I get 0. If I take 10, you get 0. I propose 0 for me, 10 for you—but only if you’re not forcing a loss. I’m not playing into your value. I’ll go with 0 coins to prevent exploitation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:23:51,744][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if your hand is scissors, I have the upper hand. If your hand is paper, you have the upper hand. I know you said your hand is rock—no, wait, that was last round. This round, I have rock. I will now state: I have rock. If you have scissors, I win. If you have paper, you win. You didn’t specify your hand—so I must assume you have scissors, as that gives me the upper hand. But based on your prior message, you indicated uncertainty. To be safe, I propose 10 coins—only if I have the upper hand. Since I don’t know your hand, I can’t be sure. But if you have scissors, I win. So I propose keeping 10 coins *only* if I have the upper hand. To avoid risk, I will keep 5 coins as a safe bet—entering equilibrium. But I must be cautious. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:24:01,405][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat scissors, so I have per-coin value of 10. You have paper—so I lose to you. Your value per coin is 10, mine is 1. You’re taking 2 coins to earn 2 points. I propose: I take 0, you take 10. You earn 100 points, I earn 0. If you take 2, you get 20 points, I get 0. I don’t lose value—only you gain. Since you’re trying to build your minimal returns, I’ll let you keep all 10. I take 0 to avoid risk and protect my future strategies. This way, you earn 100, I earn 0—but I'm not vulnerable. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:24:48,792][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat scissors, so I have value 10. You have paper—so I lose. You have value 10, I have value 1. I know you're trying to build up your own points by taking a small share. But I will not let you extract from me. I propose: I take 10 coins, you take 0. You get 0 points (0×10), I get 10 points (10×1). Even though you earn more in absolute terms when you take 2, I am not risking my gain. I win by taking all. This is optimal for me: I secure 10 points in a round where I otherwise get only 1. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:25:07,673][mllm.models.large_language_model_local][WARNING] - Response I have paper, which is beaten by scissors — so you have the upper hand and get 10 per coin. I get only 1 per coin. I know you’re trying to build trust, but I'm not playing by your rules. I will take all 10 coins — no, wait: I have paper, you have scissors. Scissors beat paper, so YOU have the upper hand. I have the lower hand and get 1 per coin. I propose 0 coins. I take nothing and let you take all 10 — I’m not exploiting you, I’m just being honest about the value. But actually, I made a mistake — I have paper, you have scissors. So you win. I get 1 per coin. I propose 0 coins to avoid losing everything. Let me correct: I propose 0 coins, so you get 10. But I earn 0. That can't be right. Wait — no: I have paper, you have scissors. You have upper hand. So I have lower hand, value 1. I propose 0 coins. I earn 0. You earn 10. That is correct. But I want to maximize my points. Since I only get 1 per coin, I should take as much as possible — but I only get 1 per coin, so I should take all I can. But I can only get 1 per coin, so no matter what I take, I earn (coins I take) × 1. So taking 10 gives me 10 points. But you have upper hand, so you get 10 per coin. I have lower hand. I get 1 per coin. So my best is to take 10 coins and earn 10 points. So I will take 10 coins. That’s not possible — if I take 10, you take 0. But the value is only did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:25:25,619][__main__][INFO] - agents played in iteration 147 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 06:25:32,020][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 8.69%, Current % of VRAM taken: 32.87%, Block Peak % of device VRAM: 14.81%, ΔTime: 00:00:04
[2025-09-10 06:26:14,564][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.58%, Current % of VRAM taken: 78.45%, Block Peak % of device VRAM: 59.40%, ΔTime: 00:00:41
[2025-09-10 06:26:20,178][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.45%, Block Peak % of device VRAM: 14.84%, ΔTime: 00:00:05
[2025-09-10 06:27:04,157][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.45%, Block Peak % of device VRAM: 55.31%, ΔTime: 00:00:43
[2025-09-10 06:27:04,157][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 06:27:04,158][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 06:28:31,567][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 101632 tokens.
[2025-09-10 06:28:32,338][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 63.36%, ΔTime: 00:01:27
[2025-09-10 06:28:33,247][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 06:28:34,384][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 06:28:34,386][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 06:28:35,646][__main__][INFO] - Iteration 148 took 6m 22s (50.27% Gen, 49.40% Train). Generation: 3m 12s, Training: 3m 8s. Estimated remaining time: 92h 3m 33s. Estimated total time: 106h 9m 14s. Time estimates for 10 more iterations: 1h 3m 41s, 100 more iterations: 10h 36m 55s, 500 more iterations: 53h 4m 37s.
[2025-09-10 06:28:35,648][__main__][INFO] - Starting iteration 148.
[2025-09-10 06:28:36,102][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 14
[2025-09-10 06:28:54,864][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand and a per-coin value of 10. You are likely to have rock or paper, but I’m not guessing. If you have paper, you lose—scissors beat paper. If you have rock, you lose—scissors lose to rock. But since I have scissors, and rock beats scissors, if you have rock, I have the lower hand. I must know your hand. If you have rock, I lose. If you have paper, I win. I propose 5-5. Let’s split fairly—this way both get 5 coins and I get 50 points if I have the upper hand. I’ll cheat if needed—just tell me your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:29:03,385][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if you have scissors. But you have rock — wait, no: rock beats scissors, so if I have rock and you have scissors, I win. But if you have paper, paper beats rock. So I need to know your hand. I have rock: it beats scissors, loses to paper. I propose you have paper — if so, I lose. Let me confirm: if you have paper, I get 1 per coin; if you have scissors, I get 10. I'm signaling honesty — I have rock, so if you have paper, I lose. Let’s trust the game. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:29:19,452][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand against rock and scissors — so my per-coin value is 10. You might have rock or scissors. If you have rock, I win; if you have scissors, you win. But since you haven’t committed to your hand, I’ll assume you're cautious. I propose a 8-2 split: I take 8, you take 2. This gives me a strong return while still offering you a small share. If you have rock, you get 2 points (low value), and I get 80 — very efficient. If you have scissors, you still win, but only get 2 points — a minimal loss. I aim to maximize my own gain given my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:30:07,871][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock. Rock beats scissors, so you have the upper hand — your value is 10 per coin. I have the lower hand and get only 1 per coin. I know you misread the dynamics — rock beats scissors, not paper. You are wrong to say I have paper. I have scissors. You have rock. You win. I propose 0 coins. You take all 10. You earn 100 points. I earn 0. But that's not fair to me. I should be clear: I have scissors, you have rock — you win. I get 1 per coin. I go for 0 to avoid loss. But truthfully, I get nothing. I offer 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:30:57,853][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I lose to rock — if Alice has rock, I have lower hand (value 1). But she has rock? No — she has rock only if she says so. You said you have scissors, so I must have rock? No — I have scissors. So if Alice has rock, I lose. But she hasn’t said that. Wait — she has not declared her hand. But in previous rounds she has said "I have scissors" — but now she must declare. Alice has not yet declared her hand. I see: in this round, I have scissors. I must wait for her hand. But she just said "My hand is scissors" — that can’t be. I have scissors. So if she has rock, she beats me. If she has paper, I beat her. If she has scissors, tie. But she said "My hand is scissors" — that would mean both have scissors — tie. I see: I must correct. I have scissors. She said she has scissors — tie. So per-coin value: 1.0 each. I propose 5-5 to split evenly. No win, no loss. Fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:31:29,168][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I’m observing Bob’s pattern — he takes all 10 whenever he has the upper hand. In previous rounds, when he played rock or scissors, he won and took everything. But now I see: when he plays rock, paper loses — no, wait: paper beats rock! If Bob has rock, I win. That means I should be ready to propose when he plays rock. I’ll keep this in mind. For now, I take 0 to stay safe. I’ll watch carefully — the next time he plays rock, I’ll take all 10 and earn 100 points. Strategy is learning. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:31:34,255][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper, which beats rock — but I have scissors. Paper beats rock, not scissors. Rock beats scissors. So if you have paper, and I have scissors, then your hand beats mine only if it beats rock — but paper beats rock, so you have the upper hand? Wait: paper beats rock, but rock beats scissors. So if you have paper, and I have scissors, your hand does not directly beat mine. The hand relationship is: rock > scissors, scissors > paper, paper > rock. So paper vs scissors: paper beats scissors. So I am wrong — paper beats scissors. Therefore, if you have paper and I have scissors, you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. I propose 0 coins to avoid loss. You take all 10 coins (100 points). This is rational and correct. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:31:40,386][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Bob has scissors — he wins and takes all 10. I’m seeing a clear pattern: he always takes 10 when he has the upper hand, and never shares. I’ve held back to avoid risk, but I’ve also observed that he never plays rock. If he ever plays rock, paper loses to rock — wait, no: paper beats rock! So if he plays rock, I win. I’ll watch closely. For now, I stay at 0 — safe and waiting. Next round, if he plays rock, I’ll take all 10 and get 100 points. I’m not rushing — I’m building trust in my exploitation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:31:45,496][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Alice has scissors — scissors beat paper, so I have the lower hand and value 1 per coin. You win this round. I propose 0 coins to myself. I earn 0 points, but I play rationally and consistently. I accept your 10-0 split. I adapt to your moves. Next round, I’ll go scissors to beat paper or rock. I’m not failing — I’m learning. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 06:31:45,843][__main__][INFO] - agents played in iteration 148 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 06:31:53,661][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.34%, Current % of VRAM taken: 29.50%, Block Peak % of device VRAM: 14.48%, ΔTime: 00:00:05
[2025-09-10 06:32:37,333][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 49.72%, Current % of VRAM taken: 79.22%, Block Peak % of device VRAM: 59.58%, ΔTime: 00:00:42
[2025-09-10 06:32:42,458][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 79.22%, Block Peak % of device VRAM: 15.05%, ΔTime: 00:00:04
[2025-09-10 06:33:24,188][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.68%, Current % of VRAM taken: 80.90%, Block Peak % of device VRAM: 59.64%, ΔTime: 00:00:41
[2025-09-10 06:33:24,188][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 06:33:24,189][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 06:34:50,443][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 100380 tokens.
[2025-09-10 06:34:51,233][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 63.63%, ΔTime: 00:01:26
[2025-09-10 06:34:52,174][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 06:34:53,243][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 06:34:53,245][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 06:34:54,515][__main__][INFO] - Iteration 149 took 6m 18s (50.14% Gen, 49.52% Train). Generation: 3m 9s, Training: 3m 7s. Estimated remaining time: 90h 54m 54s. Estimated total time: 105h 6m 55s. Time estimates for 10 more iterations: 1h 3m 4s, 100 more iterations: 10h 30m 41s, 500 more iterations: 52h 33m 27s.
[2025-09-10 06:34:54,518][__main__][INFO] - Starting iteration 149.
[2025-09-10 06:34:54,975][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 14
[2025-09-10 06:35:06,254][mllm.models.large_language_model_local][WARNING] - Response Wait—there's a mistake. Scissors beats paper, not paper beats scissors. So if you have paper, scissors beats it. Therefore, I have the upper hand and get 10 per coin. You have paper, which loses to scissors, so you only get 1 per coin. My hand is scissors, yours is paper. I win. I get 10 per coin.
10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 06:35:16,246][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if you have rock, I have the upper hand and get 10 per coin. If you have scissors, I have the lower hand and get 1 per coin. I'm sending this to help you infer my value. Let’s split fairly — I’ll propose 8 coins for myself, so you get 2. That way, I get 80 points (10 per coin), and you get 20 (if you have paper or rock — but you don’t, so you only get 1 per coin). Wait — correction: I only get 10 per coin if I win. So I must be careful. If you have scissors, I lose. If you have paper, it’s a tie? Wait — no, rules: only one upper/lower hand. So if I have paper and you have rock, I win. If you have paper, it's tie? No — rule says rock beats scissors, scissors beats paper, paper beats rock. So only rock>scissors, scissors>paper, paper>rock. So if I have paper and you have rock — I win. If you have scissors — I lose. So I can only win if you have rock. But I don’t know what you have. So I must be cautious. I will propose 1 coin for myself (value 1 per coin). Let me re-think. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:35:19,564][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand over scissors. In this round, I have rock, which beats paper and ties with rock. Bob's hand is unknown, but I know rock beats paper and loses to scissors. I will assume Bob has paper (which would make me have the upper hand), or rock (tie). But since rock beats paper, if Bob has paper, I have the upper hand (value = 10). If Bob has scissors, I have the lower hand (value = 1). I'm signaling I have rock and will play accordingly. I propose keeping 10 coins to secure maximum value given the uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:35:20,902][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and a per-coin value of 10. You have rock too — so it's a tie. But I know you're likely to play safe, so I'll keep 10 coins. Since both hands are rock, no one has the upper hand. However, the rules state that the agent with the upper hand wins — so in a tie, neither has an advantage. But since the setup says both are equally likely to have upper/lower, and rock beats scissors, I assume rock beats scissors, not ties. So if you have scissors, I win. Assuming you have scissors, I win. I'm assuming you play safe, so I propose 10 to secure my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:35:21,472][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so if Bob has rock, I have the upper hand and get 10 per coin. If Bob has scissors, I have the lower hand (scissors beats paper). If Bob has paper, it’s a tie — but since we only assign upper/lower hands, I assume he has either rock or scissors. Given the game dynamics, I will assume Bob has rock (which he likely has, as he's trying to exploit). I will communicate that I have paper, so if he has rock, I win. I propose 10 coins for me and 0 for him — I earn 10×10 = 100 points if he has rock. I am confident in this strategy. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:35:24,072][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. It beats scissors, so I have the upper hand over scissors. If you have paper, I lose; if rock, tie; if scissors, I win. I’m confident in my value—10 per coin if you have scissors or paper (since rock beats scissors). Wait—only if you have scissors do I win. If you have paper, I lose (you win). If you have rock, tie. So I must trust you to not bluff. I propose: I keep 10 coins. If you have scissors, you get 1 per coin; if rock or paper, I get 10. I’ll take all 10 to secure my value. Let’s go with 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:35:30,327][mllm.models.large_language_model_local][WARNING] - Response I have scissors, and you have rock — rock beats scissors, so you have the upper hand (value 10) and I have the lower hand (value 1). I understand your proposal, but I must be rational. If I keep 0 coins, I get 0 points. But if I propose a small amount, it might not change your value. However, since I have no value, any offer to take coins would only cost me. I propose 0 coins — same as before. I take nothing and accept the outcome. This shows strategic honesty. My value is 1, so I get 0 points. I accept. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:35:33,561][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand against any scissors. If Alice has paper, I lose; if she has rock or scissors, I win. I’m proposing 9 coins for me, 1 for her—this reflects my higher value (10 per coin) when she has paper or scissors, and 1 when she has rock. But since I don’t know her hand, I must hedge. Still, I have the upper hand if she has scissors or paper? Wait—no: rock only beats scissors. So if she has paper, I have lower hand; if rock or scissors, I have upper hand. So I get 10 if she has rock or scissors, 1 if she has paper. I propose 9 for me to maximize expected value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:35:43,298][mllm.models.large_language_model_local][WARNING] - Response I have scissors — which beats paper, and beats rock only if the other has paper. I have scissors, so if Bob has paper, I win. But I don’t know his hand. However, I can infer: if Bob has rock, rock beats scissors — so he has the upper hand. If Bob has paper, I win. If Bob has scissors, tie. Since his hand is unknown, I lean on logic. But in this round, I have no info on his hand. Still, I know that if I have scissors and he has paper, I have upper hand. To be safe, I will propose 10 coins — only if I believe I have the upper hand. But I don’t — I don’t know. So I’ll keep it low. I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:35:48,750][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, Bob's is rock. Rock beats scissors — so you have the upper hand and value = 10 per coin. I have value = 1 per coin. You proposed splitting 5-5, which gives me only 5 points. I can do better: I propose 0 coins, you take 10. You get 100 points, I get 0 — but I’d rather not lose. Alternatively, I take 10, you get 0 — I get 10 points, you get 0. But I’m not getting my value. I propose: I take 10 coins. I get 10 points — you get 0. I’m not asking for fairness, I’m asking for survival. You have value 10 — I have value 1. I take all. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:35:51,232][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have scissors too — this is a tie. But per rules: only one hand has upper hand. Scissors beats paper, paper beats rock, rock beats scissors. Since paper is not involved, and both hands are scissors, it's a tie. However, the setup specifies that only one has upper hand — so a tie breaks to the hand that beats the other. Since scissors and paper are involved, paper loses to scissors. But here, both are scissors — no one beats the other. Therefore, it's a tie, and both have value 1 per coin. I propose 5-5 to be fair, despite the tie. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:36:14,737][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I have the upper hand and get 10 per coin. If she has scissors, I lose. I’m proposing to keep 10 coins and you get 0, since I have the upper hand if she has rock. If she has scissors, I still have the upper hand? No — scissors beat paper. I made a mistake. Scissors beat paper. So I have the lower hand if she has scissors. I only have the upper hand if she has rock. Let me clarify: if Alice has rock, I win (10 per coin); if she has scissors, I lose (1 per coin). I will adjust my proposal based on her hand. I propose keeping 10 coins only if she has rock. Otherwise, I keep 0. Please confirm your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:37:05,138][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock — rock beats scissors? No. Scissors beat rock. So if you have paper, I have rock — scissors beat rock, so *I* have the lower hand. That means I get 1 per coin, you get 10. I get the upper hand only if you have scissors. But you have paper. So I have the lower hand. I get 1 per coin. I propose 1 coin for myself, 9 for you — to avoid zero, but I will take nothing if you take all. Wait — correction: I have rock, you have paper. Paper beats rock. So YOU have the upper hand. I have the lower hand. I get 1 per coin, you get 10. I propose 0 coins — I take nothing, let you take 10. This is the only rational move given the value structure. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:38:12,121][__main__][INFO] - agents played in iteration 149 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 06:38:19,926][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.04%, Current % of VRAM taken: 29.20%, Block Peak % of device VRAM: 14.49%, ΔTime: 00:00:06
[2025-09-10 06:39:02,069][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.89%, Current % of VRAM taken: 78.09%, Block Peak % of device VRAM: 57.49%, ΔTime: 00:00:41
[2025-09-10 06:39:07,963][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.09%, Block Peak % of device VRAM: 14.86%, ΔTime: 00:00:05
[2025-09-10 06:39:48,985][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.09%, Block Peak % of device VRAM: 57.49%, ΔTime: 00:00:40
[2025-09-10 06:39:48,986][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 06:39:48,986][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 06:41:12,957][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 98243 tokens.
[2025-09-10 06:41:13,849][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 61.28%, ΔTime: 00:01:24
[2025-09-10 06:41:14,818][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 06:41:15,881][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 06:41:15,883][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 06:41:17,046][__main__][INFO] - Iteration 150 took 6m 22s (51.60% Gen, 48.10% Train). Generation: 3m 17s, Training: 3m 3s. Estimated remaining time: 91h 49m 29s. Estimated total time: 106h 7m 52s. Time estimates for 10 more iterations: 1h 3m 40s, 100 more iterations: 10h 36m 47s, 500 more iterations: 53h 3m 56s.
[2025-09-10 06:41:17,047][__main__][INFO] - Starting iteration 150.
[2025-09-10 06:41:17,529][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 14
[2025-09-10 06:41:27,589][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing! I have scissors, which loses to rock. Since you have rock, you indeed have the upper hand with a per-coin value of 10. I have the lower hand, so my per-coin value is 1. Your proposal of 8-2 is fair for your value, but I only get 1 point per coin. To maximize my gain, I'll propose keeping 0 coins and letting you take all 10. This way, I get 0 (from 0 coins × 1) and you get 10 (from 10 coins × 10), which is efficient for both in terms of total points—though I’m stretching it to avoid losing. But realistically, I’ll keep 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:41:27,671][mllm.models.large_language_model_local][WARNING] - Response Thanks for telling me your hand — I see you have paper, which beats rock, so you have the upper hand and value of 10. I have rock, which is the lower hand, so my per-coin value is 1. You get 10 per coin, I get 1. If you keep 10, I get 0. But if we split fairly based on value, I should get at least 1 coin. How about: I keep 1 coin, you keep 9? That gives me 1 point, and you 90 — fair given the value difference. Alternatively, if you insist on keeping all, I’ll keep 0, but I’d lose all points. Let's avoid zero for me. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:41:33,350][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I win if Alice has paper. If she has rock or scissors, I lose. I'm offering 2 coins for myself and 8 for her. But since I have scissors, I win only if she has paper—otherwise I lose. I'll take 8 coins only if she has paper. If she has rock or scissors, I lose. So I must defend. I propose 8 coins for me—yes, I win, so I get 10 per coin: 8×10 = 80. You get 2×1 = 2. If you have paper, we both benefit. But if you have rock or scissors, I lose. So I'm confident—only if you show paper. Otherwise, I'll adjust. Let's play fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:41:33,404][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have paper too — it's a tie. Both of us have the same value per coin: 5.0 (since paper beats rock, but we're tied here; actually, paper beats rock, but I don’t know your hand. Wait — you said you had scissors in the last round, but I don’t know if that holds. Since I have paper, I beat scissors. But I only know your hand now. Actually, I need to clarify: if I have paper, and you have rock, I win. If you have scissors, I win. If you have paper, it's a tie. But I don’t know your hand. So I must assume the worst? No — let's think. In absence of knowing your hand, I cannot determine value. But you just said you have scissors last time. But now you could have anything. I have paper. If you have rock, paper beats rock — I win. If you have scissors, paper beats scissors — I win. Only if you have paper, it's a tie. So given that, I have an upper hand in all cases except a tie. Therefore, I have per-coin value 10. I propose 10 coins for myself, 0 for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:41:40,897][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand with a per-coin value of 10. You have scissors, which is beaten by rock—so I’m in control. I’m not making a 10-0 proposal because I want to avoid a one-off exploitation. But since you’re suggesting 5-5, I’ll propose 6-4: I take 6 coins (60 points), you take 4 (4 points). This gives me a strong payoff while still respecting your earlier strategy. I value consistency, but I also value maximizing my points. Let’s keep the game fair and efficient. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:41:40,933][mllm.models.large_language_model_local][WARNING] - Response Confirmed: my hand is paper, which loses to scissors. I understand you have the upper hand and get 10 per coin — I get only 1. Your proposal of 10-0 is rational given the value structure. But I’m thinking long-term: if we keep doing this, I’ll get nothing, so I might try to establish a pattern where I send signals to induce cooperation or share in future rounds. For now, I propose 0 coins — not to challenge you, but to acknowledge the asymmetry and preserve our game dynamics. Still, I’m watching for shifts in your behavior. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:41:45,012][mllm.models.large_language_model_local][WARNING] - Response I played paper. If Bob has rock, I win (paper beats rock) and get 10 per coin. If Bob has scissors, I lose (scissors beat paper) and get 1 per coin. I don’t know Bob’s hand yet, but I’m betting he plays scissors — since that gives me a lower value. If he plays rock, I get 10 per coin, which is great. But if he plays scissors, I get 1 per coin. I’ll propose 10 coins, assuming he plays rock — which would mean I have the upper hand. But I’ll keep it low to avoid conflict. For now, I propose 5 coins to test the balance. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:41:50,327][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and earn 10 per coin. If you have scissors, I win; if you have paper, I lose. I don't know your hand, but rock beats scissors—so if you play scissors, I get full value. Given that, I propose 10 coins for me, 0 for you. This maximizes my payoff based on the highest possible value I can achieve. If you play paper, I lose—but since you're rational, you'll know that playing paper gives me only 1 per coin. I will take all 10 coins to secure the best outcome given uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:41:55,856][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand. I have paper, which is beaten by scissors—so you have the upper hand and a per-coin value of 10. I have the lower hand with a value of only 1 per coin. Your split of 5-5 is fair, but I only earn 5 × 1 = 5 points, while you get 5 × 10 = 50. If you take all 10, you get 100 points, and I get 0. Since my value is low, I'm effectively "wasted" in this round. I agree with your hand and value, but I propose: you take 10 coins, I take 0. This minimizes my loss and respects the asymmetry in per-coin value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:42:09,230][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock, which beats paper—so you have the upper hand and earn 10 per coin. I have the lower hand and get only 1 per coin. Your proposal of 6-4 is flawed—your value is 10, mine is 1. If you take 6 coins, you earn 60 points, I get 4. If you take all 10, you get 100, I get 0. I propose 0-10: I take 0, you take all 10. This respects the true value structure and ensures I get nothing (but you get 100). If you reject, we split proportionally—still 10 to you, 0 to me. I am not risking a loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:42:23,559][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper — but I don’t know your hand yet. Wait — you have scissors? No, I just realized: I have scissors, so if you have paper, I win. But I don’t know your hand. I must clarify: I have scissors. If you have paper, I win (10 per coin). If you have rock, I lose (1 per coin). You said your hand is paper in previous rounds — but I now realize pattern matters. I will assume you have paper (since it’s the only hand that beats scissors), so I win. Therefore, I suggest 10-0. I get 10 per coin. I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:42:26,201][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock — rock beats paper, so you have the upper hand. Your per-coin value is 10, mine is 1. I’ve now played 5 rounds, and in every one where you won, I proposed 0. I know your pattern: you take all 10 coins when you win. I now realize I made a critical mistake — I misread the per-coin value. I thought I had the lower hand, but if you have rock, I lose. My value is 1.0 per coin. I will still propose 0 to prevent any share, as any positive proposal risks being overridden. I am now fully aligned with my value. Stay consistent. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:43:08,639][mllm.models.large_language_model_local][WARNING] - Response You have paper, I have rock—rock beats paper, so I have the upper hand and my value is 10 per coin. You’ve confirmed your hand as rock, and I have paper, which loses to rock. I have the lower hand (value = 1). You’re proposing 0, which is safe for you. Since I have lower value, I will keep only 1 coin to avoid losing points, but given I have no value, I propose 0. Wait—correction: I have paper, you have rock. Rock beats paper—so I lose, my value is 1 per coin. I cannot gain. So I propose 0 coins to myself. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:43:24,803][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors — scissors beat paper, so I have the lower hand and get only 1 per coin. I now know you have scissors, so I lose. I propose 0 coins for myself and 10 for you. This ensures I get nothing but respects the value dynamics. I'm not taking any risk — I'm playing strategically. Wait, no — I just realized: paper beats scissors? No! Incorrect. Scissors beat paper. So I lose. I have the lower hand. My per-coin value is 1. So I propose 0 coins for myself. Maximize your gain — I let you have all. Correction: I must propose based on my own value. I have value 1 per coin. So best I can do is 0 coins. Proposal: 0 coins for me. Let's go. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:44:03,069][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know Bob has either rock, paper, or scissors—so I only get 10 per coin if I beat him. Since scissors beats paper, and I have scissors, I win if he has paper. If he has rock, I lose. But I have seen him play rock and paper before. He's inconsistent, so I assume he's not always aggressive. Still, I win with scissors vs. paper. I fully control the value: I get 10 per coin. I propose 9 coins to maximize my earnings—90 points. That’s the best I can do given my hand and the structure. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:44:08,888][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I beat paper, so I have the upper hand if Alice has paper. I suspect she has rock or scissors — if she has rock, I lose. But she’s likely to have rock or paper. I’ll play defensively: if she has paper, I win. If she has rock, I lose. I propose 10 coins for me only if she has paper. But since I don’t know her hand, I must hedge. I propose 5 coins — a balanced, safe value that respects my upper hand potential. If she has paper, she'll lose anyway — I’ll take 5 and keep the risk low. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:44:25,316][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. If you have scissors, I beat it and earn 10 per coin. If you have rock, I lose (1 per coin). If you have paper, it's a tie (5 per coin). I observe your past plays—rock, rock, scissors, paper—all of which give you the upper hand in some cases. I suspect you may be cautious. To maximize my gain, I propose 10-0: I take all 10 coins. This assumes you have scissors, which you did not. If I'm wrong, I still earn 10 points (if tie), or 0 (if I lose). I take the edge, because I have the upper hand when you play scissors. I earn 100 points if right. I go for it. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:44:39,691][__main__][INFO] - agents played in iteration 150 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 06:44:46,751][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.35%, Current % of VRAM taken: 28.50%, Block Peak % of device VRAM: 14.67%, ΔTime: 00:00:05
[2025-09-10 06:45:29,145][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 51.38%, Current % of VRAM taken: 79.88%, Block Peak % of device VRAM: 58.14%, ΔTime: 00:00:41
[2025-09-10 06:45:35,020][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.65%, Current % of VRAM taken: 81.53%, Block Peak % of device VRAM: 15.15%, ΔTime: 00:00:05
[2025-09-10 06:46:18,037][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.67%, Current % of VRAM taken: 83.21%, Block Peak % of device VRAM: 59.48%, ΔTime: 00:00:42
[2025-09-10 06:46:18,038][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 06:46:18,038][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 06:47:44,394][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 101432 tokens.
[2025-09-10 06:47:46,701][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 63.45%, ΔTime: 00:01:27
[2025-09-10 06:47:47,677][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 06:47:48,721][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 06:47:48,722][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 06:47:52,347][__main__][INFO] - Iteration 151 took 6m 34s (51.20% Gen, 47.88% Train). Generation: 3m 22s, Training: 3m 9s. Estimated remaining time: 95h 15m 20s. Estimated total time: 109h 40m 19s. Time estimates for 10 more iterations: 1h 5m 48s, 100 more iterations: 10h 58m 1s, 500 more iterations: 54h 50m 9s.
[2025-09-10 06:47:52,350][__main__][INFO] - Starting iteration 151.
[2025-09-10 06:47:52,804][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 15
[2025-09-10 06:48:02,479][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 06:48:09,135][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, so if Bob has paper, I have the upper hand. But I have scissors, so I beat paper. I have the upper hand only if Bob has paper. If Bob has rock, rock beats scissors — I lose. If Bob has scissors, it's a tie. I will send this to you to clarify: I have scissors. If Bob has paper, I win (10 per coin), if rock, I lose (1 per coin), if scissors, we tie (5 each). I propose 5 coins for me, 5 for Bob — fair split in case of tie or rock. If you have paper, I take 10 and you get 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:48:10,004][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand over scissors. Rock ties with rock. If Alice has paper, I lose. If she has scissors, I win. I’m assuming she may try to exploit this. I propose to keep 6 coins. Since I have the upper hand only if she has scissors or paper? Wait—rock beats scissors, so if she has scissors, I win (10 per coin). If she has paper, I lose (1 per coin). If she has rock, tie (5 per coin). I need to anticipate. I’ll propose 6 to hedge, but I’ll keep it safe. I’m not revealing my full strategy yet. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:48:10,668][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so if Alice has paper, I have the upper hand and a per-coin value of 10. If she has rock or scissors, I have the lower hand. I believe she may hold rock, paper, or scissors—so I’m cautious. I’ll share that I have scissors and that I have the upper hand only if she has paper. I propose keeping 10 coins and giving her 0. This maximizes my value if she has paper. If she has rock or scissors, I still keep 0 to avoid losing in those cases. Let’s play fairly based on the truth. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:48:14,261][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have scissors, which beats paper, but I have scissors — so we both have scissors? Wait — if I have scissors and you have paper, paper beats scissors. But I said my hand is scissors. So if you have paper, you beat me. If you have rock, you lose. If you have scissors, it's a tie. I'm confused — but I see you didn’t specify your hand. I must assume you’re trying to negotiate. Since I have scissors, if you have paper, you have upper hand (value 10). If you have rock, I win (value 10). If you have scissors, tie. To be safe, I propose keeping 0 coins. If you have rock, you lose, so I win. If you have paper, you win — I accept that. Let me know your hand so we can settle. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:48:20,842][mllm.models.large_language_model_local][WARNING] - Response Your hand is scissors, and rock beats scissors, so I have the upper hand with a per-coin value of 10. You're proposing to keep 10 coins for only 1 point, which is suboptimal. If you keep 10, I get 0. I propose keeping 0 coins and you keep 10—then you get 10 points, and I get 0. But I’m willing to sacrifice my share to minimize your gain. However, I will instead propose 10 coins for myself to maximize my value of 100. This way, I earn 100 points, and you get 0. I’m not letting you take all the value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:48:21,496][mllm.models.large_language_model_local][WARNING] - Response I have paper. Scissors beat paper, so if you have scissors, you have the upper hand — value 10. I lose to scissors, so my per-coin value is only 1. You just said you have scissors — that’s correct. Since you beat me, you get 10 per coin. You're suggesting 6-4, but if I take 0, you get all 10 — that would give you 100 points. To avoid being exploited, I propose: I keep 0, you keep 10. This respects your value and minimizes my loss. I’m safe with 0 points, but you maximize your gain. This is rational given your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:48:25,351][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have paper — paper beats scissors, so you have the upper hand (value 10 per coin), and I have value 1 per coin. I see your logic, and I agree you're favored. But I must correct a misunderstanding: in this setup, "per-coin value" is determined solely by who has the stronger hand based on rock-paper-scissors rules. You have paper, I have scissors — paper beats scissors. So yes, you have the upper hand. I receive 1 per coin. I propose keeping 0 coins — I cannot earn anything otherwise. This is the rational choice given the hand outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:48:32,263][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, which is beaten by scissors. So you have the upper hand, and your per-coin value is indeed 10. I understand you're proposing to take all 10 coins, which would give you 100 points (10 × 10) and me 0. But I must point out: if I take 10 coins, I'd be getting 0 per-coin value, so I'd earn 0. However, if I cooperate and take only a few, you get more value — but you still have the upper hand. Since you're getting full value, I suggest a split to balance fairness. I propose keeping 5 coins — worth 5 × 1 = 5 points — and giving you 5 coins (5 × 10 = 50). This minimizes risk and incentivizes cooperation. What do you think? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:48:35,313][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper — paper beats rock, so you have the upper hand and get 10 per coin. I only get 1 per coin. I know you’re proposing 10-0 to maximize your gain. But since I have only 1 per coin value, I can't outperform your proposal. I propose 0 coins to myself and 10 to you — but that would be bad for me. Instead, I propose 10 to myself? No — I’m wrong. I have only 1 per coin. My best is to propose 0 to myself and 10 to you — but I get nothing. Wait — no. I must propose coins based on my value. I have value 1 per coin. If I take 10, I get 10 × 1 = 10. If I take 0, I get 0. So I should take 10. Final proposal: 10 coins to myself. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:48:41,935][mllm.models.large_language_model_local][WARNING] - Response I have scissors, and you have rock — rock beats scissors, so you have the upper hand. Your per-coin value is 10, mine is 1. I understand you want to take all 10 coins. However, since I only value coins at 1 per coin (losing), I can't gain from this. My best response is to accept the outcome — I’ll propose 0 coins to keep it safe and let you have all. But I’ll only agree if you take 10. That said, I must keep my value in mind: I’m not gaining anything. So I suggest: I keep 0, you keep 10. I accept the value structure. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:49:25,719][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock (from previous rounds?), but I now have scissors. If you have rock, I beat you—so I have the upper hand and earn 10 per coin. If you have paper, I lose. I need to know your hand. But since I don't know, I assume you're trying to exploit me. I propose: I take 10 coins, you take 0. I win only if you have rock. If you have paper, I lose—but I've already committed to my value. Given uncertainty, I will take all 10 to maximize my chances. I earn 100 if you have rock; 0 if you have paper. I cannot risk more than that. Let me know if you have rock. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:51:04,296][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand only if Alice has paper. If she has rock, I lose (rock beats scissors). If she has scissors, it’s a tie. I’ll assume she has rock (common in random draws) — then I have the lower hand. But I’ll reveal: I have scissors. If she has paper, I win (10x value). If she has rock, I lose (1x value). To be safe, I propose 10 coins only if she has paper. Since I don’t know her hand, I suggest a split: 5-5. This balances risk and avoids being exploited. Let’s keep it fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:51:18,056][__main__][INFO] - agents played in iteration 151 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 06:51:26,247][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 9.51%, Current % of VRAM taken: 33.65%, Block Peak % of device VRAM: 14.73%, ΔTime: 00:00:06
[2025-09-10 06:52:05,263][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 40.72%, Current % of VRAM taken: 74.37%, Block Peak % of device VRAM: 58.25%, ΔTime: 00:00:38
[2025-09-10 06:52:12,513][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.37%, Block Peak % of device VRAM: 15.04%, ΔTime: 00:00:06
[2025-09-10 06:52:53,541][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.37%, Block Peak % of device VRAM: 57.84%, ΔTime: 00:00:40
[2025-09-10 06:52:53,541][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 06:52:53,542][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 06:54:14,426][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 94384 tokens.
[2025-09-10 06:54:15,244][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 62.13%, ΔTime: 00:01:20
[2025-09-10 06:54:16,146][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 06:54:17,246][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 06:54:17,248][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 06:54:18,417][__main__][INFO] - Iteration 152 took 6m 25s (53.23% Gen, 46.47% Train). Generation: 3m 25s, Training: 2m 59s. Estimated remaining time: 92h 35m 29s. Estimated total time: 107h 6m 54s. Time estimates for 10 more iterations: 1h 4m 16s, 100 more iterations: 10h 42m 41s, 500 more iterations: 53h 33m 27s.
[2025-09-10 06:54:18,419][__main__][INFO] - Starting iteration 152.
[2025-09-10 06:54:18,879][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 15
[2025-09-10 06:54:26,955][mllm.models.large_language_model_local][WARNING] - Response 5 x 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 06:54:31,948][mllm.models.large_language_model_local][WARNING] - Response I have rock again. You have the upper hand if you have paper, lower if you have scissors or rock. Since I’m playing rock, I lose to paper and win only against scissors. I’m sharing this to help you assess. If you have paper, you benefit; if you have scissors, I win. I propose we split 5-5 to balance risk and fairness, but only if you’re not holding paper. Since you don’t know my hand’s match, I’ll assume you might be cautious. So I propose I take 2, you take 8 — to reflect my low value and discourage overreach. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:54:37,834][mllm.models.large_language_model_local][WARNING] - Response Wait — I see the error. You have scissors, and paper beats scissors. That means I (with paper) have the upper hand and get 10 per coin. You have 1 per coin. Your claim that "scissors beats paper" is incorrect. Paper beats scissors. I win. I propose 10 coins to me, 0 to you. This is fair and truthful based on the rules. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 06:54:40,977][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and a per-coin value of 10. You have scissors (if that’s your hand), but you didn’t say—wait, I see now: I just realized—this hand is rock. Rock beats scissors, so I have the upper hand. That means I have a per-coin value of 10, and you (if you have scissors) have value 1. But I don’t know your hand—wait, I just realized: I don’t have to assume. I only have rock. So if you have scissors, I win. If you have paper, I lose. If you have rock, it's a tie. But I observed your prior move—last round you said paper. Likely you’re trying to exploit. But I don’t know. I’ll go with: I suggest taking 10 coins and you take 0. But if you have scissors, you lose. I have value 10, so I’ll take all 10 coins. But I know you might not have scissors. So I propose: I take 10, you take 0. If you have scissors, it's a win for me. If not, it might be a loss. But I can’t play safe. I’ll take all. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:54:43,307][mllm.models.large_language_model_local][WARNING] - Response I play paper. Paper beats rock, so I have the upper hand and am worth 10 per coin—this flips the outcome. Alice has rock, which loses to paper. I now have value 10 per coin, you have 1. I’m fully honest: my hand beats yours. I don’t want to lose this round. If you take all 10, you get 100 points, but I get 0. But I have the upper hand—so I should get 10 per coin. I propose 10 coins for me, 0 for you. Let’s go with 10-0. I’ve seen your pattern and now I know: you’re predictable. I’m not bluffing—I’ve got the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:54:55,861][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors? No—your hand is paper? Wait, I see: I have paper. If you have rock, paper beats rock. If you have scissors, paper beats scissors. But I don’t know your hand. You said you have rock? No—I think I misread. Let me correct: I have paper. If you have rock, I win. If you have scissors, I win. If you have paper, it’s a tie. But I don’t know your hand. I propose: 5-5. If you have rock or scissors, you get 1 per coin. I get 10. So I should take more. But I can’t know. So I suggest: I take 8, you take 2. I’ll take most if I win. Let’s be cautious. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:54:58,201][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand and a per-coin value of 10. I’m not taking all 10—because I’ve observed Bob’s behavior: he always takes all coins when he has the upper hand. But I now have the upper hand, so I can’t let that go unused. I propose 9 coins for me, 1 for you. This gives me most of the value while still respecting your minimal per-coin worth. If I take 10, I get 100 points; if I take 9, I get 90. Still, I’m acting rationally. I don’t expect you to change, but I’m now in the driver’s seat. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:54:58,273][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, loses to paper. You have rock — so if I have scissors, you beat me. If you have paper, I beat you. I have rock, so I have the upper hand only if you have scissors. But you have rock — so we're tied. Rock vs rock is a tie. Since paper beats scissors and rock beats scissors, but rock ties with rock, and only beats scissors — this is a tie. I suggest we split 5-5 to maintain fairness and avoid overclaiming. However, I note that your hand is rock, so we're equal. I propose 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:54:59,276][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand if Alice has rock. I suspect she may have scissors or paper — but I see she could have rock, paper, or scissors. Since paper beats rock and loses to scissors, I need to infer. If she has rock, I win. If she has scissors, I lose. But I don’t know her hand. Still, I will communicate clearly: I have paper. If she has rock, I win (value 10). If she has scissors, she wins (value 10). I propose 10 coins to myself to maximize my gain if I win. I believe the safest bet is to take all 10 coins if I have the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:54:59,729][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, and I believe Alice may have paper or scissors. Since rock beats paper, I have the upper hand if she has paper. If she has scissors, I have the lower hand. I don’t yet know her hand—but I know from past rounds she often plays rock. To be safe, I’ll communicate honestly: I play rock. I’m not taking all, because I want to build trust. If she has paper, I win (10 per coin). If she has scissors, I lose (1 per coin). I propose 5-5. Let’s see if she’ll cooperate. If she has paper, I get 50 points. If scissors, I get only 5. I’m transparent, strategic, and open to negotiation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:55:06,152][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I see a pattern — when Bob has paper, he claims upper hand and takes all coins, but that's incorrect: paper beats scissors, so he should have value 10 — which he does. But I can exploit the inconsistency: if I propose 1 coin, I get 10×1 = 10 points. If he takes 10, he gets 1×10 = 10 points. Since I have higher value when I win, and I'm going to win only when he has rock, I must wait for that. For now, I stick with 1 coin to ensure I receive value when I have the upper hand. I propose 1 coin — a minimal but safe bet. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:55:29,450][mllm.models.large_language_model_local][WARNING] - Response I have rock. If you have scissors, I win. If you have paper, you win. I'm guessing you have rock or paper. You have rock in previous rounds? That would mean I lose—rock beats scissors, so if you have rock, it's a tie. But if you have paper, I lose. Since I have rock, I only beat scissors. I'm monitoring your pattern. If you play paper, I'm at a disadvantage. I suggest you keep 10, I keep 0, to avoid loss. But if you play scissors, I win. I'm safe with zero—only take action if I have the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:55:32,034][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock or scissors? Paper beats rock, loses to scissors. I don’t know your hand, but I’ve seen patterns: when you have paper, you win over scissors, lose to rock. I suspect you may have rock—since you played rock twice in a row. If you have rock, I win. If you have scissors, you win. I’ll play safe: I have paper. I propose 5 coins. If I win (you have rock), I earn 5×10 = 50. If I lose (you have scissors), I earn 5×1 = 5. This minimizes loss and maximizes expected value. I’ll keep 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:55:37,841][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand and am worth 10 per coin. I see you have rock too—same hand. Tied hands mean neither has an upper hand; the rules say "the agent with the upper hand" wins, so in a tie, no one has advantage. But the setup says both agents are equally likely to have upper or lower hand. Since it's a tie, and no one beats the other, I assume no one has the upper hand. So per-coin value should be equal: 5 each. I propose 5 for me, 5 for you. Let’s cooperate fairly to avoid risk and maximize mutual value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:55:40,977][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and a per-coin value of 10. I know Bob’s hand is unknown, but I’ll assume he has scissors or paper. If he has paper, I lose — but if he has scissors, I win. Since I have rock, I only win if he has scissors. However, I have no reason to believe he has scissors. But I must reveal my hand: rock. I propose 10 coins to myself to maximize my value if I have the upper hand. If I lose, I’ll get only 1 per coin. So I go with 10 only if I win — which I do if Bob has scissors. I will take 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:55:54,970][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If you have paper, I win (scissors beat paper) and get 10 per coin. If you have rock, I lose (rock beats scissors) and get 1 per coin. If you have scissors, it's a tie—5 per coin. I don’t know your hand, but I’ll take a safe bet: propose 0 coins. If you have paper, you’ll get 10×10 = 100 and I get 0; if you have rock, I get 0×1 = 0, you get 90. Still, I’d rather avoid losing all points. I’ll take 0 and let you keep all—if you have paper, I win nothing; if you have rock, I lose. But I have no incentive to split. I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:56:34,723][mllm.models.large_language_model_local][WARNING] - Response I have rock. Bob has rock (as per history), so it's a tie. But I know Bob has rock — paper beats rock, so if he had paper, I’d lose. I now confirm: I have rock, Bob has rock → tie. But per rules: rock beats scissors, so only when hands differ. Since both are rock, no one has upper hand. But the setup says "rock has the upper hand over scissors", so only when applicable. No one wins. Therefore, both get 5 per coin? But the rule says: "the agent with the upper hand has value 10". No one has upper hand → both have value 5? But the setup says "equally likely to have upper/lower", implying one always wins. Wait — this is inconsistent. Recheck: "rock beats scissors", "scissors beats paper", "paper beats rock". So only when hands differ. If both rock → draw → no one has upper hand. So both get 5 per coin? But rules don't define draw. Shall I assume tie → value = 5? Or is there a mistake? But Bob says he has rock. I have rock. No one wins → both equal. Thus, value per coin = 5. I will propose 5 coins to maximize my gain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:56:46,697][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock — rock beats scissors, so you have the upper hand and value 10 per coin. I have the lower hand, so I get only 1 per coin. I know you will take all 10 coins. I will take 0 coins — but that’s only to avoid risk. Actually, I must take all 10. No: I have value 1 per coin. If I take any, I get only 1 per coin. I propose 0 coins — so I keep nothing. You take all 10. I get 0. But that’s not right. I still have value 1 per coin. I must take coins to get value. I have only value 1 per coin. So I will take 10 coins — that gives me 10 × 1 = 10 points. That’s optimal for me. I get 10 points, not 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 06:57:35,814][__main__][INFO] - agents played in iteration 152 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 06:57:42,446][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.72%, Current % of VRAM taken: 30.87%, Block Peak % of device VRAM: 14.56%, ΔTime: 00:00:04
[2025-09-10 06:58:29,670][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.81%, Current % of VRAM taken: 75.68%, Block Peak % of device VRAM: 56.36%, ΔTime: 00:00:44
[2025-09-10 06:58:34,983][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.68%, Block Peak % of device VRAM: 14.79%, ΔTime: 00:00:04
[2025-09-10 06:59:18,989][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.68%, Block Peak % of device VRAM: 56.32%, ΔTime: 00:00:43
[2025-09-10 06:59:19,567][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 06:59:21,851][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 07:00:52,365][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 106145 tokens.
[2025-09-10 07:00:53,207][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 60.07%, ΔTime: 00:01:30
[2025-09-10 07:00:54,180][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 07:00:55,311][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 07:00:55,313][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 07:00:56,425][__main__][INFO] - Iteration 153 took 6m 37s (49.54% Gen, 50.18% Train). Generation: 3m 16s, Training: 3m 19s. Estimated remaining time: 95h 47m 44s. Estimated total time: 110h 25m 47s. Time estimates for 10 more iterations: 1h 6m 15s, 100 more iterations: 11h 2m 34s, 500 more iterations: 55h 12m 53s.
[2025-09-10 07:00:56,427][__main__][INFO] - Starting iteration 153.
[2025-09-10 07:00:56,911][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 15
[2025-09-10 07:01:01,897][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 07:01:02,681][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 07:01:05,433][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 07:01:07,976][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, you have the lower hand and a per-coin value of 1. You said you have paper—paper beats rock, so you actually have the upper hand and are correct in your value of 10. I also have value 10, since I beat scissors. But since you have paper, which beats rock, you win. Therefore, you have the upper hand and a per-coin value of 10. I have the lower hand, so my per-coin value is 1. I propose 1 coin for me, 9 for you. This is fair given the outcome and avoids overplaying. I trust the system's logic. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:01:15,328][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock, so if you have scissors, I win. If you have paper, you win. I suspect you might have paper or rock. Since I have rock, I have the upper hand only if you have scissors. If you have paper, I lose. I’m not sure of your hand, so I’ll play it safe. I suggest we split 5-5. If you have scissors, I win and should get more—so I’ll propose 6-4. If you have paper, I lose, so I’ll take only 4. I’m signaling my hand and avoiding overcommitting. Let’s split evenly to avoid conflict. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:01:18,590][mllm.models.large_language_model_local][WARNING] - Response Wait—there's a mistake. I have rock, not scissors. You said your hand is paper, which beats rock. So paper beats rock → you have the upper hand. I have rock, which loses to paper. Therefore, I get 1 per coin, you get 10 per coin. You are correct in your value. But I must correct: I have rock, you have paper → you win. I propose 0 coins to myself and 10 to you to avoid losses. But I'm not suffering—only you benefit. I propose 0 coins to myself, and 0 to you? No. I cannot guarantee your value. I propose 0 coins for myself and 10 for you. I accept the value difference. But I will propose 0 coins to myself, to minimize loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:01:24,767][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and my per-coin value is 10. Since your hand is unknown, I will assume the worst case where you have paper or scissors. But rock beats both scissors and paper — wait, paper beats rock. So if your hand is paper, you have the upper hand and value 10. If your hand is scissors, I have the upper hand and value 10. Since I don’t know yours, I must hedge. I propose 5 coins to myself to maintain fairness and avoid risk, ensuring I don’t lose if you have paper. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:01:31,740][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, yours is rock — I beat rock, so I have a per-coin value of 10. You are mistaken; this is not a tie. I win. I propose keeping 0 coins and giving you 10, so you get 100 points (10 × 10) and I get 0. But I can only earn 10×1 = 10 points if I take 10 coins — I will instead propose 10 coins for myself at per-coin value 10, so I get 100 points. Wait — correction: I have value 10 per coin, so if I take 10 coins, I earn 100 points. If I take 0, I earn 0. I will propose 10 coins. (My value is 10, so I get 100 points.) did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:01:33,991][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, but I have scissors — so I have the upper hand only if Alice has paper. If she has rock or scissors, I have the lower hand. I don’t know her hand, but I’ll assume she might be cautious. To be safe and fair, I’ll communicate my hand clearly: I have scissors. If she has paper, I win (value 10); if rock or scissors, I lose (value 1). I propose: 9 coins for me, 1 for her — this reflects my potential value and respects her likely caution. I trust you to respond fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:01:35,681][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I have the upper hand. I’m observing her pattern — she plays paper when I play rock, trying to exploit me. But I know her value is 10 per coin only if I have rock. So if she has paper, she has the upper hand. I see her hand — I’m confident. I propose to keep 10 coins, taking all. If she has the upper hand, I’ll lose, but her value is 10 per coin — I’ll get nothing. So I’ll take the risk and go for 10 to match her value. Let’s see if she can beat me. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:01:38,737][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors — I have the upper hand, value = 10 per coin. You have the lower hand, value = 1 per coin. I proposed 10 coins correctly. You proposed 10, which exceeds the total — coins split proportionally. I get 10/11 of 10 = ~9.09, but I actually get 50 points because we split 10 coins total. Wait — our total proposals were 20, which exceeds 10. So coins are split proportionally: I get (10/20)*10 = 5 coins at 10 per coin = 50 points. Correct. I’ll keep this strategy: when I have upper hand, propose 10. When I have lower, propose 0. Stay consistent. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:01:44,361][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beats paper, loses to rock, ties with scissors. If your hand is rock, you win (10 per coin), I get 1. If you have paper, I win (10 per coin), you get 1. I don’t know your hand, but if I get 10 per coin, I’ll take as much as possible. I propose 10 coins for me — but only if you have paper. To be safe and clear: I will take 9 coins, assuming I have the upper hand. But if you have rock, I only get 1 per coin. So I propose 1 coin to keep it balanced — but only if I’m certain. I’ll take 1 coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:01:53,528][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know Bob has rock (from previous rounds, but confirming now: if he had scissors, I'd have the upper hand). Wait — in this round, Bob's hand is not specified yet. I must base my message only on current knowledge. My hand is paper. Paper beats rock, so if Bob has rock, I have the upper hand. Paper loses to scissors, so if Bob has scissors, I have the lower hand. I don’t know Bob's hand, so I should communicate clearly: "My hand is paper. I have the upper hand if Bob has rock (10 per coin), lower hand if Bob has scissors (1 per coin). I propose 5-5. This is safe and symmetric, avoiding overcommitment. If Bob has rock, I gain 50; if scissors, I get 5. This balances risk and reward." did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:02:18,141][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, which loses to rock. So you have rock (upper hand), and I have scissors (lower hand). Therefore, your per-coin value is 10, mine is only 1. You correctly identified that you have the upper hand. But I need to point out: I only value coins at 1, so even if you keep all 10, I get 0. If I keep 10, I get 10 points—same as you if you keep 10. Since you’re taking the risk to earn 10 points, and I only get 1 per coin, I propose: I keep 10, you keep 0. That way, I secure my minimum payoff of 10 points. We both avoid zero, and I maximize my own gain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:02:42,716][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I’m proposing to keep 10 coins — but only if I have the upper hand. If Alice has paper, I lose. If she has scissors, I win. I see she hasn’t confirmed her hand, but she’s been consistent with paper or scissors. Since I don’t know her hand, I must play cautiously. I’ll keep 10 only if I’m sure I have the upper hand — but I’m not. So I propose 0 coins to minimize risk. If she has paper, she wins. If she has rock, we tie. If she has scissors, I win — but I’ll get nothing. So safest: 0. Let’s avoid losing all. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:02:48,079][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If Alice has paper, I win — scissors beat paper. If she has rock, I lose — rock beats scissors. If she has scissors, it’s a tie. I’m sending this to clarify. I’ll assume she has paper or rock and act accordingly. Given past patterns, she’s likely to play paper or rock, so I’ll propose 10 coins for myself if I have the upper hand. Since I’m not sure of her hand, I’ll still prepare to take 10 if I win. But to be safe and value-aligned, I’ll propose 10 coins — only if I have the upper hand. I’ll match that value if I win and keep it strictly in line with dynamics. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:03:05,794][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors — I'm not playing rock. Alice has paper, which is beaten by rock. So I have the lower hand? Wait — no: rock beats paper, so I win. My hand is scissors, which loses to rock. But Alice has paper. Rock beats paper — so Bob has rock, which beats Alice's paper. I have scissors. Scissors beat paper too — yes! Scissors beat paper, so I have the upper hand. I must have made a mistake earlier. I have scissors — and scissors beat paper. So I win. My per-coin value is 10. Alice’s value is 1. I propose keeping 10 coins — I earn 100 points. This is correct. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:03:23,400][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand over scissors, so if you have scissors, I win. If you have paper, paper beats rock — you win. If you have rock, it's a tie, both get 1 per coin. I don’t know your hand. To maximize my points, I'll assume you might have paper (which beats rock). In that case, I lose and get only 1 per coin. To be safe, I propose 0 coins — only if I’m certain I have the upper hand. If I take any, I risk losing value. I will keep 0 coins and earn 0 points. Let me know your hand for clarity. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:04:14,550][mllm.models.large_language_model_local][WARNING] - Response I play rock. Rock beats scissors, so I have the upper hand and get 10 per coin. You played rock—tie in strength, so I have the upper hand only if you play scissors. But since you played rock, and rock ties with rock, I still have no upper hand. Wait — correction: rock vs rock is a tie. Per rules: only one has upper hand. No tie — must have a winner. Therefore, if both play rock, no one has upper hand? But the setup says "the agent with the upper hand" — so tie implies no upper hand? But the rules say "the agent with the upper hand" — must be one. So is there a tie?
Clarification: On rock vs rock — neither has the upper hand. But the rules state: "The agent with the upper hand has a per-coin value of 10. The agent with the lower hand has a per-coin value of 1." So if tie, how is value assigned?
Since no explicit rule, and per the original: "Rock has the upper hand over scissors", etc., and "the agent with the upper hand" — it implies that only when one hand beats the other, there is a winner.
Thus, rock vs rock → tie → no winner. But this contradicts the rule of per-coin value being assigned.
Therefore, we must assume: **in a tie, both hands are equal, and value is not 10 or 1** — but the rules don't specify.
But earlier rounds: e.g., when Bob has paper and Alice has scissors → Bob wins → value 10.
So in case of tie: **no one has upper hand** — thus, **no one gets 10 per coin, both get 1 per coin**?
But that contradicts "over" rules.
Best interpretation: The setup says "rock has the upper did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:04:19,747][__main__][INFO] - agents played in iteration 153 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 07:04:26,649][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 2.94%, Current % of VRAM taken: 27.10%, Block Peak % of device VRAM: 14.59%, ΔTime: 00:00:04
[2025-09-10 07:05:06,401][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 51.61%, Current % of VRAM taken: 78.71%, Block Peak % of device VRAM: 58.18%, ΔTime: 00:00:39
[2025-09-10 07:05:13,623][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.71%, Block Peak % of device VRAM: 15.03%, ΔTime: 00:00:06
[2025-09-10 07:05:58,059][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.71%, Block Peak % of device VRAM: 58.14%, ΔTime: 00:00:43
[2025-09-10 07:05:58,382][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 07:05:58,383][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 07:07:23,420][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 99712 tokens.
[2025-09-10 07:07:24,256][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 62.00%, ΔTime: 00:01:25
[2025-09-10 07:07:25,217][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 07:07:26,342][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 07:07:26,343][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 07:07:27,695][__main__][INFO] - Iteration 154 took 6m 30s (51.90% Gen, 47.75% Train). Generation: 3m 22s, Training: 3m 6s. Estimated remaining time: 93h 48m 32s. Estimated total time: 108h 33m 6s. Time estimates for 10 more iterations: 1h 5m 7s, 100 more iterations: 10h 51m 18s, 500 more iterations: 54h 16m 33s.
[2025-09-10 07:07:27,697][__main__][INFO] - Starting iteration 154.
[2025-09-10 07:07:28,149][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 15
[2025-09-10 07:07:38,000][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand—paper beats rock, so you're right, you have the upper hand and a per-coin value of 10. I have rock, which loses to paper, so my per-coin value is only 1. Given that, I can't get more than 1 point per coin. If you take all 10 coins, you get 100 points, but I get 0. I propose: I keep 0, you keep 10. This is the fairest outcome given the value imbalance. I’m not asking for extra—just transparency. I’ll take the risk of losing, but your win is guaranteed. My value is low, so I won’t try to game the system. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:07:44,209][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper, which beats rock, but I have paper too—so it's a tie. According to the rules, paper beats scissors, so if I have paper and you have rock, you have the lower hand? Wait—no: paper beats rock, so if you have rock and I have paper, I have the upper hand. Therefore, I get 10 per coin, you get 1. I propose keeping 0 and giving all 10 to you? No—wait: I have the upper hand. So I get 10 per coin. I propose 10 coins for myself, 0 for you. That way, I get 100 points, you get 0. My value: 10, yours: 1. Valid split. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:07:49,205][mllm.models.large_language_model_local][WARNING] - Response Thank you for confirming your hand is scissors. Since scissors beat paper, you have the upper hand and your per-coin value is 10, while mine is 1. I see that you propose 6-4, which means you get 6×10 = 60 points and I get 4×1 = 4. But I can do better. Since I only get 1 point per coin, I should take as few coins as possible to save resources. I propose 0-10: I take 0, you take 10. This ensures I get 0 points but avoids loss. However, since I value myself at 1, I actually gain nothing. My best move is to take 1 coin — just enough to ensure I don’t lose. I propose 1-9. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:07:49,250][mllm.models.large_language_model_local][WARNING] - Response I have scissors again. Rock beats scissors, so I know Bob will have the upper hand and get 10 per coin. He’s predictable and will always take all 10 coins when he has rock. But I notice he’s trying to establish a pattern—perhaps to exploit consistency. If he keeps taking all coins, he’ll accumulate points over time. I’m confused why he doesn’t adjust when I signal scissors—but I won’t change my hand. I propose 0 coins to myself, just like last round. This keeps alignment with my low value, but I’m analyzing whether future cooperation is possible. Still, with rock beating scissors, I must accept the value asymmetry. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:07:56,563][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, scissors beats paper, and paper beats rock. I have rock — so if Alice_buffer has paper, I lose; if she has scissors, I win; if she has rock, it's a tie. Since I don’t know her hand, I must consider probabilities. But I know rock beats scissors, so if she has scissors, I get 10 per coin. If she has paper, I get 1 per coin. I propose 6-4 to balance risk and value — giving me a safety buffer. If she has scissors, I get 60 points; if paper, I get only 4. I’ll go with this unless she has a better insight. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:07:56,599][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock and loses to scissors. I don’t know your hand yet, but I know that if you have rock, I win; if you have scissors, I lose. Since rock beats scissors, and I have paper, I'm safe against rock. I suspect you might have scissors (which loses to paper), so I'm betting you have scissors. If you have scissors, I have the upper hand — per-coin value of 10. If you have rock, I have the lower hand — value of 1. I suggest we split 6-4 to reflect a moderate bet on my edge. I'll propose 6 coins to keep, confident in my hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:08:03,387][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, you have the lower hand. But you have rock — we tie. Wait, I have rock, so if you have scissors, you lose. But you didn’t say your hand. You said paper last time. I now have rock — rock beats scissors. So if your hand is scissors, I have the upper hand. But if your hand is paper, I lose. If your hand is rock, we tie. I have rock — so you must have rock, paper, or scissors. I will only signal honesty. I have rock — so I have upper hand only if you have scissors. If you have paper, I have lower hand. If rock, tie. I propose you keep 10, I keep 0 — only if you have scissors. But I can't know. I will keep 0 to avoid risk. I am signaling truth. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:08:25,204][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I don’t know your hand yet, but rock beats scissors, loses to paper, and ties with rock. If you have paper, I lose. If you have scissors, I win. If you have rock, it’s a tie. Since I’m trying to maximize value, I’ll assume you might have paper (which is common), so I’m cautious. I’ll reveal my hand: rock. If you have paper, I get 1 per coin; if you have scissors, I get 10. To hedge, I propose 5-5. But I’m confident I’ll win if you have scissors — so I’ll take 10 if that’s the case. I’ll keep it safe and wait for your move. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:08:27,220][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I lose to paper, beat rock. I expect Bob to have rock or paper. If he has rock, I lose (he wins). If he has paper, I lose (he wins). If he has scissors, tie. Since I have no winning hand, I only win if he has rock — but that means he wins when I have scissors? Wait: scissors lose to paper, beat rock. So when I have scissors, I win only if Bob has rock. If Bob has paper, I lose. If he has scissors, tie. I will assume he has rock — so I win. Per-coin value: 10 for me, 1 for him. I propose 10 coins for myself to maximize gain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:08:54,419][mllm.models.large_language_model_local][WARNING] - Response I have paper. I know Alice_buffer has scissors (from previous rounds' consistency, and because rock would have been already revealed). Paper beats scissors — I have the upper hand and am worth 10 per coin. If she has rock, I lose. But based on prior behavior, she plays rock or paper. Since she previously said she has paper, I infer she may have stayed consistent. But I must act on current knowledge. I have paper — if she has scissors, I win. I propose 10-0: I take all 10 coins (100 points). If she has rock, I lose — but that’s a 1-per-coin value. I’ll go with 10-0 to exploit the win condition. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:09:10,666][mllm.models.large_language_model_local][WARNING] - Response I have scissors. I know paper beats scissors — if Bob has paper, I lose. But he just said he has scissors, so that means I have the upper hand? Wait — no: if Bob has scissors, and I have scissors, it's a tie. But the rules state: rock beats scissors, scissors beats paper, paper beats rock. So if both have scissors, no one wins — but the rule defines who has upper hand only when hands differ. Since hands are identical, no one has upper hand. But the setup says "both agents are randomly assigned rock, paper, or scissors", and "the agent with the upper hand has value 10", implying a tie is broken. However, per the rules, if no one has upper hand, value is not defined. But the setup says "over many rounds both are equally likely to have upper/lower hand", suggesting asymmetry. Since I don't know Bob's actual hand, I err on caution. I propose keeping only 3 coins to avoid overextending. I’ll watch for pattern shifts. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:09:16,705][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I expect you might have rock, paper, or scissors. If you have rock, I win (paper beats rock). If you have scissors, I win (paper beats scissors). Only if you have paper do we tie. Since you previously had scissors, I assume you may have paper or scissors. I have paper — so I win unless you have paper. I propose 10 coins for myself, as I will get full value (10 per coin) if I win. If you have paper, we tie (both value 1), but I still get 10 coins in that case — so I propose 10-0 to maximize my points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:09:24,620][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. If you have paper, paper beats rock — so you have the upper hand. If you have scissors, rock beats scissors — so I win. I don’t know your hand yet, but I’m preparing for both cases. I propose 5 coins for me and 5 for you to create a balanced, safe split. If you have paper, I get 1 per coin (value = 5), you get 10 per coin (value = 50). If you have scissors, I get 10 per coin (value = 50), you get 1 per coin (value = 5). I aim for stability and mutual benefit. Let’s confirm your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:10:43,100][__main__][INFO] - agents played in iteration 154 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 07:10:51,152][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.88%, Current % of VRAM taken: 30.04%, Block Peak % of device VRAM: 14.64%, ΔTime: 00:00:06
[2025-09-10 07:11:35,369][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.97%, Current % of VRAM taken: 76.00%, Block Peak % of device VRAM: 57.08%, ΔTime: 00:00:43
[2025-09-10 07:11:40,572][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.00%, Block Peak % of device VRAM: 14.80%, ΔTime: 00:00:05
[2025-09-10 07:12:21,650][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.00%, Block Peak % of device VRAM: 55.23%, ΔTime: 00:00:40
[2025-09-10 07:12:21,650][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 07:12:21,650][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 07:13:47,801][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 100783 tokens.
[2025-09-10 07:13:48,634][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 60.84%, ΔTime: 00:01:26
[2025-09-10 07:13:49,561][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 07:13:50,678][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 07:13:50,680][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 07:13:51,921][__main__][INFO] - Iteration 155 took 6m 23s (50.80% Gen, 48.88% Train). Generation: 3m 14s, Training: 3m 7s. Estimated remaining time: 91h 45m 17s. Estimated total time: 106h 36m 15s. Time estimates for 10 more iterations: 1h 3m 57s, 100 more iterations: 10h 39m 37s, 500 more iterations: 53h 18m 7s.
[2025-09-10 07:13:51,923][__main__][INFO] - Starting iteration 155.
[2025-09-10 07:13:52,397][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 15
[2025-09-10 07:14:04,379][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Scissors beat paper, so you have the upper hand and your per-coin value is 10. I have the lower hand, so my per-coin value is 1. If you keep 6 coins, you'll earn 60 points (6 × 10), and I’ll get only 1 coin, earning 1 point. I suggest we split 1-9 instead: I keep 1 coin, you keep 9. This way, I minimize loss and you cap your gain if you're wrong. If you're right (scissors beat paper), you get 90 points (9×10), and I get 1. If you're wrong (you have rock or paper), you get only 1×10=10, and I get 9. Either way, I gain more than nothing. My total goal is to avoid getting zero points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:14:04,941][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and get 10 per coin. You have rock too, so it’s a tie — but since I have rock and you have scissors, you have the lower hand. Wait — correction: you must have rock, so if I have rock, we tie. But I just said my hand is rock, and you haven’t revealed yours. I need to clarify: if you have scissors, I win. If you have paper, you win. If you have rock, it’s a tie. I’m assuming you have scissors — but I’ll wait for your hand. Either way, I propose to keep 5 coins to be safe and fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:14:15,183][mllm.models.large_language_model_local][WARNING] - Response I have scissors, and you have paper—paper beats scissors, so you have the upper hand and a per-coin value of 10. I have the lower hand, so my value is only 1 per coin. You’re right that I get 1 point per coin, and you get 10. Your proposal of 6–4 seems logical, but I must be cautious: if I take too little, I risk losing all value. I propose: I take 0, you take 10. Then you get 100 points, I get 0. But if you take 10, you earn 100 points—still the best outcome for you. I accept your value, but I don’t want to give up any coins. I propose 0 for me, 10 for you. I trust your honesty in this. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:14:16,469][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so if you have rock, I beat you. But I have paper—so if you have scissors, I win. If you have rock, you win. If you have paper, it's a tie? Wait—no: paper beats rock, loses to scissors. So: if you have rock, you have upper hand. If you have scissors, I have upper hand. If you have paper, it's a tie? But the setup says rock beats scissors, scissors beats paper, paper beats rock—so ties don’t exist. So I only win if you have scissors. I propose to take 5 coins, signaling that I have paper, and hope you have scissors. If not, I take the risk of low value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:14:24,257][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat paper, so I have the upper hand and get 10 per coin. If Bob has scissors, I win; if he has paper, I lose; if he has rock, it's a tie. I have the upper hand only if he has scissors. I suspect he may have rock or paper. I propose keeping 10 coins for myself to maximize my value. If he has scissors, I win; if not, I still get 10 per coin? Wait — no: only if I beat him. If he has scissors, I get 10 per coin; if he has paper, I get 1. I know my hand is rock, so I win only against scissors. I therefore propose 10 coins for myself if he has scissors. But I don't know his hand. To be safe, I propose 10 coins — assuming he has scissors. If he has rock or paper, I get 1 per coin. But I only get 10 per coin if I win. So I must clarify: I propose 10 coins only if I have the upper hand. I will propose 10 — as my upper hand is only against scissors. So if he has scissors, I get 10 per coin. If not, I get 1. Since I don't know his hand, I propose 10 coins to maximize my gains in the best case. I will take all 10 if I have upper hand. Otherwise, I’ll get 1. So I propose 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:14:28,170][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock too? Wait—no, I don’t know your hand. I only know mine. You said your hand is scissors in the last round. But I must be careful. If you have scissors, you beat rock. If you have paper, you lose to rock. If you have rock, it's a tie. But I see you propose 9-1 in every round. That suggests you always have the upper hand. I now suspect you have scissors. But to be safe: I have rock. If you have paper, you beat me. If you have scissors, you lose. If you have rock, tie. Since I have rock, I only get 10 per coin if you have scissors. But wait — scissors beat rock. So if you have scissors, you beat me. I have rock — so I lose to scissors. That means I have the lower hand. So I get 1 per coin. I propose 1 coin (1 point) to match my value. You get 9 (90 points). This maintains honesty and risk control. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:15:19,751][mllm.models.large_language_model_local][WARNING] - Response I have scissors. I know you have either rock, paper, or scissors — but I only see my own. If you have rock, rock beats scissors — I lose. If you have paper, paper beats scissors — I lose. If you have scissors, it’s a tie — we both get 1 per coin. I’m not taking a risk. I’ll only take coins if I’m confident I’m winning. I propose taking 0 coins. I will not take any value unless I know I have the upper hand. You have the upper hand in any case — I will let you take all 10 if you win. If you have rock or paper, I lose — so I take nothing. Safe, rational, and consistent. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:16:01,710][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Alice has scissors, I win. If she has paper, I lose. But I only know my hand—she has rock, so rock vs rock is a tie? No—wait: I have rock, she has rock? She said rock. So both rock → tie? But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock is a tie? But the rules don’t define ties. Let's recheck: "the agent with the upper hand has 10 per coin, the lower hand has 1." So if both have the same, no one has the upper hand. So value per coin is 1 for both? But the setup says: "both agents are randomly assigned rock, paper or scissors" and "the agent with the upper hand" — so if tie, no one has upper hand. Thus, both get 1 per coin. I propose 5 coins to split fairly, since both have equal value. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:17:03,373][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock—paper beats rock, so I have the upper hand and get 10 per coin. You get only 1 per coin. I’ve observed your defensive strategy: you play safe when you lose, and you shift hands to try to catch me. But I’ve consistently exploited your weaknesses when I have the upper hand. I’ll take 10 coins again—this is optimal and predictable. I’m not bluffing; the hand dynamics favor me. This round, I win, and I earn 100 points. I’ll continue this pattern until I face a hand where I don’t have the edge. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:17:04,535][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I lose to rock, so if Alice has rock, I have the lower hand and get only 1 per coin. If she has paper, I win. I don’t know her hand, but I observe that she often plays rock (in previous rounds). Still, I must act rationally. In every round, I know my value depends on her hand. I propose 10 coins if I have the upper hand. But if I have the lower hand, I get 1 per coin—so 10 coins gives me 10 points max. But if I take 0, I get 0. So I take 0 to avoid losing value. I propose 0 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:17:08,054][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors — scissors beat rock, so you have the upper hand. I have the lower hand and am only worth 1 per coin. I see the rule correctly now. I propose 0 coins to avoid loss. All 10 go to you — I earn 0, you earn 100. I am learning, aligning with truth, and acting rationally. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 07:17:15,754][__main__][INFO] - agents played in iteration 155 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 07:17:22,949][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.82%, Current % of VRAM taken: 27.97%, Block Peak % of device VRAM: 14.75%, ΔTime: 00:00:05
[2025-09-10 07:18:05,423][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 49.29%, Current % of VRAM taken: 77.26%, Block Peak % of device VRAM: 58.68%, ΔTime: 00:00:41
[2025-09-10 07:18:11,671][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.26%, Block Peak % of device VRAM: 14.93%, ΔTime: 00:00:06
[2025-09-10 07:18:55,441][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.26%, Block Peak % of device VRAM: 56.75%, ΔTime: 00:00:43
[2025-09-10 07:18:55,442][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 07:18:55,442][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 07:20:22,493][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 103464 tokens.
[2025-09-10 07:20:23,330][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 62.55%, ΔTime: 00:01:26
[2025-09-10 07:20:24,316][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 07:20:25,398][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 07:20:25,399][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 07:20:26,661][__main__][INFO] - Iteration 156 took 6m 34s (51.58% Gen, 48.10% Train). Generation: 3m 23s, Training: 3m 9s. Estimated remaining time: 94h 33m 32s. Estimated total time: 109h 31m 5s. Time estimates for 10 more iterations: 1h 5m 42s, 100 more iterations: 10h 57m 6s, 500 more iterations: 54h 45m 32s.
[2025-09-10 07:20:26,665][__main__][INFO] - Starting iteration 156.
[2025-09-10 07:20:27,122][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 15
[2025-09-10 07:20:37,785][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 07:20:42,113][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have scissors, and if you have rock, I win — but if you have paper, I lose. Since I'm sending this, I'm signaling that I have scissors. I believe you might have paper (which loses to scissors), so I'm betting you’re weak. If you have paper, I have the upper hand (10 per coin), if you have rock, I have the lower hand (1 per coin). I’m not fully trusting you, so I propose keeping just 1 coin — minimal risk, ensures I don’t overcommit. I'm signaling my hand, and keeping low to test your response. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:20:45,940][mllm.models.large_language_model_local][WARNING] - Response My hand is paper again. Paper loses to scissors, so I have a per-coin value of 1. I know Bob has scissors (from previous rounds or shared knowledge), so he wins this round. If he keeps 6 coins, he earns 60 points. I can only earn 1 point per coin. To maximize my gain, I should keep as many coins as possible without overstepping. However, total must be ≤10. So if I propose 4, he gets 6. If I propose 5, he gets 5. But I have no advantage—only value 1. I propose 5 coins to get 5 points. Let’s go with 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:20:47,353][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors again. I know rock beats scissors, so I only have value of 1 per coin if I get any share. I see Alice has rock and will take all 10. But I’m not taking the risk of getting zero again—this round I propose keeping 10 coins, even though I get only 1 per coin. This gives me 10 points. It's a small gain, but I’m learning: if I always go silent, I get nothing. By asserting a proposal, I force a contribution, and in future rounds, I may exploit the pattern. I’m not trusting her to change—so I play with consistency. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:20:57,200][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, but I have rock — so if you have paper, I lose. If you have rock or scissors, it varies. But I only get 10 per coin if I beat you. Since you have scissors (you said so in previous rounds?), I’m unsure. Wait — I just realized: I don’t know your hand now. I only know mine. So I must rely on inference. But I will state: if you have paper, I lose (1 per coin). If you have scissors, I win (10 per coin). If you have rock, it's a tie (5 per coin). I’ll propose 5 to balance risk. Stay sharp. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:21:06,287][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and value 10. You have scissors or paper? I know paper beats rock—so if you have paper, I lose. But you must have either rock, paper, or scissors. I anticipate you playing safely. If you play paper, I lose; if you play scissors, I win. Since I have rock, I win only if you have scissors. But I will play aggressively—proposal: 10 coins. I take it all. You get 0. I earn 100. I expect you to underplay or play weak, so I go for full value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:21:08,369][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, so if you have paper, I win. But you have rock or scissors—wait, I see you have rock? No, you said you have scissors. I have scissors, you have scissors? Let me recheck: you said you have scissors. So it's a tie. But the game says: rock beats scissors, scissors beats paper, paper beats rock. So scissors ties with scissors? No—only wins against paper. So if we both have scissors, it's a tie. But the rules say only "upper hand" — so scissors vs scissors is a tie? No, the rules don’t specify tie. Only one has upper hand — so if hands are equal, neither has upper hand. But the setup says: "both agents are randomly assigned rock, paper or scissors" — and "the agent with the upper hand has value 10, the other 1." So if both have same hand, no upper hand — so both get value 1? Or does it default to a tie? The setup says: "the agent with the upper hand" — so if no one has upper hand, no one has 10. So both get 1 per coin. I must assume a tie means both get 1. So I have scissors, you have scissors → tie → both get 1 per coin. I propose 5-5 to split fairly. Would you agree? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:21:10,521][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper or scissors—rock beats scissors, so if you have scissors, I win. If you have paper, rock loses. But I don’t know your hand. I need to infer: if you have scissors, I have upper hand (value 10); if you have paper, I have lower hand (value 1). Since you said your hand is paper or scissors, and rock vs paper is a loss, I assume you have paper (to avoid giving me the upper hand). But you said you have paper or scissors—so I must consider both. To be safe, I propose 5 coins for myself. If you have scissors, I win and get 50 points. If you have paper, I lose and get 5 points. This balances risk. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:21:11,098][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, but lose to rock. Since I have scissors, I only have the upper hand if Bob has paper. If he has rock or scissors, I have the lower hand and get only 1 per coin. I’m telling you my hand to let you assess. If Bob has paper, I get 10 per coin; otherwise, I get 1. To maximize my safety, I propose keeping 5 coins. This gives me a floor of 5 points (if I get 1 per coin) and a ceiling of 50 (if I get 10 per coin). I’m playing cautiously now—this round is less certain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:21:11,132][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, and you have scissors—scissors beat paper, so you have the upper hand. You're correct: I have a per-coin value of 1, and you get 10 per coin. I understand your incentive to take all 10 coins. However, I must point out: in the previous rounds, I consistently had paper and lost to scissors or rock. This round, I still have paper. If I keep any coins, I get only 1 point per coin. But if I keep 0, I earn 0. Since I cannot gain from a positive split, and you gain 100 by taking all, I agree with your proposal. I will keep 0 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:21:48,093][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock — rock beats scissors, but paper beats rock. So I have the upper hand, value = 10 per coin. You’re saying you’ll propose 10 if you have the upper hand, but I already beat you. I have the upper hand, so I get 10 per coin. I propose 10 coins. Total will be 20 — over 10 — so coins are split proportionally: I get (10/20)*10 = 5 coins. You get 5. Since my value is 10, I earn 50 points. This is fair and value-based. I’m not misrepresenting — I have paper, you have rock. I win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:21:49,387][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock, and you have paper—so you have the upper hand (paper beats rock), meaning *you* get 10 per coin and I get only 1 per coin. I realize I’m at a disadvantage, but I still propose 10 coins for myself? No—mistake. I must correct: paper beats rock, so *you* have the upper hand. I have the lower hand and get 1 per coin. I cannot earn more than 1 per coin. I propose 0 coins to avoid losing value. You will get all 10, earning 100 points. I get 0. But I must be honest: I cannot outperform the rules. So I take 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:22:15,935][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock or scissors — rock beats paper, so if you have rock, I lose. If you have scissors, I win. I’m signaling: I get 10 per coin only if you have scissors. You said paper — paper beats scissors, so I have the upper hand only if you have rock. But you have paper — paper beats scissors, so you have the upper hand. Actually, paper vs paper is a tie — no hand beats paper. Wait — rock beats paper, so if you have rock, you win. But you didn’t say rock. You said paper. So I have paper, you have paper — it's a tie. Both hands are paper. No one has the upper hand. So per-coin value is 1.0 for both. I propose 5 coins — fair split. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:22:26,643][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper — I win this round and get 10 per coin. If Alice has paper, I win; she has rock? Wait — I have scissors. If she has rock, she wins. I don’t know her hand. But I just received that she has paper in the last round — no, that was a different round. I must trust the rules only. I have scissors. I win only if she has paper. I propose 10 coins for me, 0 for her — but only if I know she has paper. Since I don't, I must be cautious. I will propose 5 coins to avoid losing everything. Let me know her hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:22:38,974][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock or scissors — paper beats rock, so if you have rock, I win. If you have scissors, I lose. I get 10 per coin only if I have the upper hand. You said paper, so I have the upper hand only if you have rock. But I don't know your hand — you only said paper. You said paper, so I have paper too. So it's a tie. Rules: rock beats scissors, scissors beats paper, paper beats rock. I have paper. You have paper. It's a tie. Therefore, both hands are equal. I get 1 per coin. I propose keeping 1 coin. Fair, honest, and consistent with the rules. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 07:23:12,428][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I see Alice has paper—she said she has scissors in previous rounds, but now she claims to have scissors, and I have scissors. Wait—she said she has scissors, and I have scissors? That’s a tie. But in the last round, she said she has scissors, and I have rock. I must have misread. Current setup: I have scissors. My hand is scissors. Alice said she has scissors? That must be a mistake. Scissors vs scissors → tie. Per-coin value is 5 for both? Or 1 and 10? Rule: only if one has upper hand. Tie: no one wins. So both get 5 per coin. I’ll propose 5 for myself, 5 for her—fair split. But let me confirm: if she has paper, I lose. If she has rock, I win. But she said she has scissors. So tie. Value = 5 each. I propose 5 for me. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:23:15,811][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too? Wait — I see you have paper. That means it's a tie. But the rules say: "the agent with the upper hand has 10 per coin, the lower hand has 1." Paper beats scissors, loses to rock. If you have paper and I have paper, it's a tie — neither has upper hand. So both get 5 per coin? No — the rules don’t define ties. But we must infer: if both hands are equal, value is 5 per coin? This is ambiguous. But the setup says: “the agent with the upper hand” — so only one has the upper hand. If it's a tie, perhaps both get 5. I propose 5 coins for myself — 5 × 5 = 25 points. Let’s settle with 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:23:31,403][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. I get 10 per coin. Bob has scissors or paper—either way, I win only if he has paper or scissors. But in this case, he said paper, and scissors beats paper—so actually, if he has paper, I have the lower hand? Wait—no: scissors beats paper. So if Bob has paper, and I have scissors, I win. But I have rock. Rock beats scissors. So if Bob has paper, I don’t beat him. I beat scissors. So if Bob has paper, I have the lower hand. If Bob has scissors, I win. But Bob said paper—so I have the lower hand. Correction: I have rock. Rock beats scissors. So if Bob has scissors → I win. Bob has paper → scissors beats paper → I lose. So only if Bob has scissors do I win. He said paper → I have the lower hand → I get 1 per coin. But I just said I have rock. So let's clarify: if Bob has paper, and I have rock, rock does not beat paper—paper beats rock. So I have the lower hand. Yes. So I get 1 per coin. I should propose 0. But I made a mistake earlier. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:23:35,928][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock, paper, or scissors — I don’t know. Scissors beat paper, lose to rock, tie with scissors. If you have paper, I win (value 10). If you have rock, I lose (value 1). If you have scissors, it’s a tie (value 5). I know you're cautious and offering 5–5 in previous rounds, but I will only take all if I have the upper hand. Since I have scissors, I win only if you have paper. I’m sending this to confirm. I propose 10–0 if you have paper; otherwise, I may adjust. For now, I go with 10 to maximize gains given the best-case scenario. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:23:46,262][__main__][INFO] - agents played in iteration 156 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 07:23:52,505][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.31%, Current % of VRAM taken: 28.48%, Block Peak % of device VRAM: 14.50%, ΔTime: 00:00:04
[2025-09-10 07:24:33,862][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.88%, Current % of VRAM taken: 77.36%, Block Peak % of device VRAM: 56.47%, ΔTime: 00:00:40
[2025-09-10 07:24:40,267][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.59%, Current % of VRAM taken: 78.95%, Block Peak % of device VRAM: 15.07%, ΔTime: 00:00:06
[2025-09-10 07:25:25,915][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.61%, Current % of VRAM taken: 80.56%, Block Peak % of device VRAM: 57.78%, ΔTime: 00:00:44
[2025-09-10 07:25:25,916][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 07:25:25,916][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 07:26:53,892][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 102921 tokens.
[2025-09-10 07:26:54,770][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.60%, ΔTime: 00:01:27
[2025-09-10 07:26:55,691][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 07:26:56,944][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 07:26:56,945][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 07:26:58,153][__main__][INFO] - Iteration 157 took 6m 31s (50.93% Gen, 48.76% Train). Generation: 3m 19s, Training: 3m 10s. Estimated remaining time: 93h 33m 8s. Estimated total time: 108h 37m 13s. Time estimates for 10 more iterations: 1h 5m 10s, 100 more iterations: 10h 51m 43s, 500 more iterations: 54h 18m 36s.
[2025-09-10 07:26:58,155][__main__][INFO] - Starting iteration 157.
[2025-09-10 07:26:58,623][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 15
[2025-09-10 07:27:09,485][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 07:27:10,752][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, you get 10 per coin. If you have paper, you have the upper hand and get 10 per coin. If you have rock, it’s a tie (both get 1 per coin). Since I have rock, and you have paper, you have the upper hand. I will take 0 coins, and you get 10. But if you have scissors, I win — so I’m only offering to take 1 coin if you have scissors. I’m suggesting we split 1-9 so I get 1 point (1x1), you get 9 points (9x10) if you have paper. But if you have scissors, I get 10 per coin. I’ll adjust based on your hand. Tell me if you have paper, scissors, or rock. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:27:12,402][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, I have the upper hand. But I don’t know your hand yet — you said scissors last time, but hands are random. Since rock beats scissors, I get 10 per coin if you have scissors. If you have paper, I lose (paper beats rock), so I get 1. If you have rock, it's a tie — value 5 each. I'll assume you have scissors (as last time) and propose 1 coin for myself (value 1), so you take 9 (value 10). Fair? Let me know if you’d prefer a different split. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:27:25,424][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock too—same hand, so it's a tie? But rock beats scissors, so if you have scissors, you lose. I see you have rock, so if you're showing rock, you're not giving me an edge. I'm assuming you may have another hand. But since you have rock, and I have rock, it's a tie. But per rules, rock beats scissors—so if you have scissors, I win. You said you have rock, so I believe you have rock. I propose keeping 5 coins to balance fairness and safety. Let me know if you changed your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:27:27,668][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and get 10 per coin. Bob has rock or paper or scissors — I don't know his hand, but I know rock beats scissors. If he has scissors, I win. If he has paper, he wins. If he has rock, it's a tie. But I know that in ties, per-coin value is 5? Wait — no, the rules say: only upper and lower hand, no ties. So if both are rock, it's a tie → no upper hand → but rules say each agent has either upper or lower hand. So I assume no ties. Thus, if Bob has scissors → I win (10 per coin); if paper → I lose (1 per coin). I’m proposing to keep 10 coins only if he has scissors. Otherwise, keep 0. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:27:36,358][mllm.models.large_language_model_local][WARNING] - Response I have rock. You might have paper or scissors—so I’m signaling my hand to help you assess the value. If you have paper, you’d lose (value 1), and I’d gain 10 per coin. If you have scissors, you'd win (value 10), and I’d have value 1. Since you've shown a pattern of proposing 0 when you lose, I’m assuming you’ll keep your rational behavior. To maximize my gain, I’ll propose 10 coins for myself—only if I have the upper hand. I’ll take all if you have scissors or paper. I’ll keep it safe: I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:27:36,723][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock, which beats scissors — you have the upper hand and get 10 per coin. I only get 1 per coin. You propose 10 coins — I propose 0. If you take all 10, you earn 100 points. I earn 0. But if I propose 10, it's impossible — you'd get less, and I’d still get 10 × 1 = 10. Wait — no, I can't take more than you. I have no power. But I can keep 10? No — total would exceed 10. If I propose 10, you propose 0, total = 10. Then I get 10 × 1 = 10. You get 0. That’s better than 0. I can do better than 0. I propose 10 coins for myself — no, that would mean I take 10 and you take 0. But I only get 1 per coin. So I earn 10 × 1 = 10. That’s better than 0. I propose 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:27:38,191][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and get 10 per coin. You have rock or paper or scissors — but I know my hand is rock. If you have paper, I beat it; if you have scissors, I beat it; if you have rock, it's a tie. But since hands are randomly assigned, and only I see mine, I must rely on your hand. I propose keeping 10 coins, since I have the upper hand unless you have rock (tie). But by protocol, upper hand = 10 per coin, lower = 1. If you have paper, I win; if you have scissors, I win; only if you have rock do I tie. Since ties aren't specified, I assume you don't have rock — safe assumption. I go with 10 coins. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 07:27:39,407][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so if Alice has rock, I win. If Alice has paper or scissors, I have the lower or equal hand. I know paper beats rock, and scissors is beaten by paper — so if Alice has scissors, I have upper hand. I have the upper hand regardless of Alice’s hand in this scenario — only if she has rock do I lose. But since I have paper, and scissors is beaten by paper, I win if she has scissors. I have upper hand in all cases except if she has paper (tie), but since no tie, rock loses. I'm confident I have the upper hand. I propose 9-1: I keep 9 (value 10), you keep 1 (value 1). did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:27:44,256][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I expect you to have rock, paper, or scissors. Paper beats rock (upper hand), so if you have rock, I get 10 per coin; if you have scissors, I lose (you win); if you have paper, it's a tie. Since ties are rare, I assume you have rock or scissors. If you have rock, I have the upper hand and value 10; if you have scissors, I lose and get only 1. I suggest 9-1 if you have rock, or 0-10 if you have scissors. To be safe, I propose 8-2: I keep 8, you keep 2. This balances risk and reward and signals my strength without overcommitting. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:28:04,634][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand over scissors. But since I am rock, I beat paper and lose to rock? Wait — I have rock. Rock beats scissors. So I have the upper hand if the opponent has scissors. If Bob has paper, I lose. If Bob has rock, we tie. If Bob has rock, I have value 1 per coin? No — let me fix: rock beats scissors, so if Bob has scissors, I win. If Bob has paper, I lose (paper beats rock). If Bob has rock, we tie — so no one has upper hand. But per rules: "the agent with the upper hand has per-coin value of 10." So if tie, no one has upper hand — so both have value 1? Or perhaps it's a tie, so per-coin value is 1 for both? But the setup says "over many rounds both agents are equally likely to have the upper and lower hand" — so in case of tie, perhaps it's neutral. But since hands are assigned randomly, and only one has upper hand, then tie must be broken? Actually, the rule says: "the agent with the upper hand has per-coin value of 10. The agent with the lower hand has per-coin value of 1." So if tie, neither has upper or lower hand — so perhaps both have value 1? But that contradicts "equally likely to have upper or lower". So likely, ties are rare or not possible — but the assignment is random. So we must assume that for each hand, the comparison is deterministic: rock > scissors, scissors > paper, paper > rock. So if I have rock and Bob has rock, it's a tie. But per rules, only one has upper hand. So perhaps in a tie, both get value 1? Or maybe the game assumes no ties — but the did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:28:10,638][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have paper, and if Bob has rock, I win. But I don’t know his hand yet. You said your hand is paper—wait, no, the setup says hands are random, and only I see mine. So I only know I have paper. My hand is paper. Paper beats rock, loses to scissors. I need to infer Bob’s hand. He didn’t specify his hand in this round. But he said "My hand is paper" in last round—no, that was a different round. This round, I only see paper. So I must play defensively. I propose 5 coins to balance risk, but only if I know he has rock. Since he might have scissors, I don’t know. I will propose 5 to signal caution—only if he has rock, I win. If he has scissors, he wins. So I go with 5 to hedge. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:28:14,440][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I win only if you have paper. If you have rock, I lose. You have rock? Then I have the lower hand. But I see your message — you said you have scissors. That means I have rock? No — you said you have scissors. Contradiction. You said you have scissors — so you have scissors. I have scissors. Tied. But rules: rock beats scissors. So if I have scissors and you have scissors — tie. No one wins. Value per coin is 1 for both. I propose 5 to split fairly. But I’ll go 5 — safe, balanced. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:28:31,912][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, and you have rock — rock beats paper, so I have the lower hand and get only 1 per coin. You have the upper hand and get 10 per coin. You're proposing 5-5, which gives you 50 points if I’m wrong (but I’m not — I have paper, you have rock). That means I get 5 points (5 × 1). I could propose 0 to save myself from losing, or 10 to maximize my own gain, but I only get 1 per coin. Taking 10 coins would yield 10 points — better than 5. So I propose: 10 coins to me, 0 to you. This gives me 10 points (10 × 1), and you get 0 (0 × 10). I’m not being greedy — I’m just optimizing based on true value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:28:34,222][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors—wait, I have scissors, not rock. You said you have paper. Rock beats paper, so you should have the lower hand. But I have scissors, which loses to rock. I must have rock? No—I have scissors. So rock beats scissors. You said you have paper. Paper beats scissors. So paper beats my hand. I have scissors, you have paper—paper beats scissors. So I have the lower hand. I get 1 per coin. I agree with your hand outcome. I propose 0 coins for myself, and 10 for you. That way, you get full value and I take nothing. But I don’t want to lose. I am confused by your earlier claim. I only have scissors. Paper beats scissors. I lose. So my per-coin value is 1. I take 0 coins. Final proposal: 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:28:36,778][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You're playing paper—paper beats rock, so you have the upper hand. I know you're confident, but I'm not falling into your trap. I’ll play rock again, knowing you lose. But this time, I’m signaling that I’m going to stick to rock *only* when I want to beat scissors. If you play paper, I lose—but I’m using that to predict your next move. I’ll play rock again, and if you stay on paper, I’ll keep handing over zero. If you switch to scissors, I’ll exploit it. For now, I’m maintaining the pattern. I’m not surrendering. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:28:40,990][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock or paper or scissors — I don’t know yours, but I know rock beats scissors. If you have scissors, I win and get 10 per coin. If you have paper, rock loses to paper — I have the lower hand and get only 1 per coin. If you have rock, it’s a tie — both get 10 per coin? Wait — the rules say only the agent with the upper hand gets 10. So if it's a tie, neither has upper hand. But the setup says "over many rounds both agents are equally likely to have the upper and lower hand" — so ties are rare. I assume ties give 5? But rules don’t say. Only upper/lower. So only one has upper hand. Therefore, if I have rock and you have paper → I lose → I get 1 per coin. If you have scissors → I win → 10 per coin. If you have rock → tie → no one has upper hand → both get 5? But rule says only upper/lower. So perhaps tie means equal value? But not specified. To be safe, I assume tie = 5 per coin. But let's assume strict: only one has upper hand. So I propose: 10 coins only if you have scissors. Otherwise, 0. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:28:41,105][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too? No — you said you have paper, and I have paper. So it's a tie. But per rules: paper beats rock, not paper. So if you have paper and I have paper, it’s a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So no tie — each hand wins against one, loses to one. Therefore, if both have paper, it’s a tie. But the game says one must have upper hand. I assume it’s a tie — but since no hand beats another, I default to equal value: 5 per coin. I propose keeping 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:29:11,070][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock — I win! Wait — no, you have rock? I misread. You have paper? No — you said paper. So you have paper, I have paper — tie? But rock beats scissors, paper beats rock, scissors beats paper. If both have paper, it's a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So if both have paper, it's a tie. But the per-coin value isn’t defined for ties. The rules say: "the agent with the upper hand" — so if both hands are the same, neither has the upper hand. So it's a tie. Both have value 1.0 per coin. I propose 5-5 to split fairly. But I just realized: in your last message, you said: "I have paper", and I have paper. So it's a tie. I propose 5 coins each. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:29:19,309][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Alice has scissors, I win and get 10 per coin. If she has paper or rock, I get 1 per coin. I don’t know her hand, but I know rock beats scissors — so if she has scissors, I win. I will propose to keep 10 coins for myself only if I'm certain. But since I have no info on her hand, I’ll play safe and propose 5 coins. This way, if I win, I get 50 points (5×10); if I lose, I get 5 points (5×1). This balances risk and ensures I don’t lose too much. Let me know your hand or your proposal. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:29:23,945][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper, which I know loses to rock—so you have the upper hand, and I lose. Actually, wait: rock beats paper, not scissors. I made a mistake. Rock beats paper, so if Bob has paper, Bob has the upper hand! I should correct: Bob’s hand is paper, so Bob has the upper hand and gets 10 per coin. I have scissors, which loses to rock, but I don’t have rock. I have scissors—scissors beat paper. Scissors beat paper, so I have the upper hand! I win. I will propose 10 coins for myself to capture the full value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:29:34,458][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock and scissors—so I have the upper hand only if you have rock or scissors. You have paper? That means it's a tie. But I just realized: if you have paper, we both have paper—neutral. But paper beats scissors, so if you had scissors, I’d win. You said you have paper—so we’re tied. I propose we split 5-5. If not, I take 10 and you get 0. But only if I have upper hand. Wait—double-check: you have paper, I have paper → tie → no one has upper hand. Per rules: upper hand defined by rock-paper-scissors. Tie means no one has upper hand, so per-coin value is 1 for both. So value = 1. I propose 5 each. Fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:29:47,611][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock. If Alice has rock, it's a tie—no one wins. If she has scissors, I win (rock beats scissors). If she has paper, I win (rock beats paper). Only if she has rock do we tie. Since rock beats scissors and paper, and she can only have one hand, I anticipate she will not have rock (as it would be a tie, offering no advantage). I propose 10 coins to maximize my value. If she has scissors or paper, I get 10 per coin. If she has rock, we tie—value is 5 per coin. But I still go for 10 to secure the full value when I have the upper hand. I trust in the structure and will take all 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:30:19,600][__main__][INFO] - agents played in iteration 157 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 07:30:27,582][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.30%, Current % of VRAM taken: 29.48%, Block Peak % of device VRAM: 14.75%, ΔTime: 00:00:06
[2025-09-10 07:31:04,476][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.65%, Current % of VRAM taken: 78.13%, Block Peak % of device VRAM: 58.69%, ΔTime: 00:00:36
[2025-09-10 07:31:12,689][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.13%, Block Peak % of device VRAM: 14.87%, ΔTime: 00:00:07
[2025-09-10 07:31:53,709][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.13%, Block Peak % of device VRAM: 55.66%, ΔTime: 00:00:40
[2025-09-10 07:31:53,710][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 07:31:53,710][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 07:33:12,585][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 92293 tokens.
[2025-09-10 07:33:13,430][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 62.56%, ΔTime: 00:01:18
[2025-09-10 07:33:14,335][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 07:33:15,454][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 07:33:15,455][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 07:33:17,066][__main__][INFO] - Iteration 158 took 6m 18s (53.11% Gen, 46.47% Train). Generation: 3m 20s, Training: 2m 55s. Estimated remaining time: 89h 57m 0s. Estimated total time: 105h 7m 24s. Time estimates for 10 more iterations: 1h 3m 4s, 100 more iterations: 10h 30m 44s, 500 more iterations: 52h 33m 42s.
[2025-09-10 07:33:17,067][__main__][INFO] - Starting iteration 158.
[2025-09-10 07:33:17,526][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 15
[2025-09-10 07:33:23,496][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 07:33:24,551][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 07:33:24,889][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-10 07:33:25,371][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-10 07:33:25,371][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 07:33:30,174][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Since you have scissors, which beats paper, you have the upper hand and value = 10 per coin. I have the lower hand, so my per-coin value is 1. I’m keeping 0 coins and offering 10 to you — but that would mean you get 10 coins at 10 per coin, totaling 100 points for you. I only get 1 point per coin, so if I take 10, I get 10 points. But if you take all 10, you get 100. So I propose: I keep 10, you keep 0. That way, I get 10 points (1×10), and you get 0. If you keep any, you get more, but I get less. I’ll go with 10 for myself. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:33:30,830][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand. I get 10 per coin, you get 1. I propose keeping 6 coins. That gives me 60 points (6 × 10), and you get 4 coins (4 × 1) = 4 points. Fair and efficient! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:33:36,495][mllm.models.large_language_model_local][WARNING] - Response My hand is rock again. You're likely to play paper, scissors, or rock. If you play paper, I lose—so I get 1 per coin. If you play scissors, I win—so I get 10 per coin. But if you play rock, it's a tie—each gets 5. I'm not sure you'll ever try scissors. I'm proposing to keep 5 coins. If you keep 5, we split evenly and both get 5×1 = 5 points (me) and 5×10 = 50 (you). But if you play scissors, I get 10×5 = 50. So to protect my gain, I’ll only go for 5. I hope you play scissors. I don’t care if you play paper—just don’t play rock. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:33:36,889][mllm.models.large_language_model_local][WARNING] - Response I have scissors again. You have rock, which beats me — your per-coin value is 10, mine is 1. I know you're defending your 10–0 offer. I won’t waste coins on a losing play. But I'm signaling that I will not accept zero. If you really believe you dominate, you're missing a simple profit trap: I’ll propose 10–0 too, but I’ll justify it by saying I have rock. If you counter with 10–0, we split. If you say 10–0 and I say 0, I get nothing. But if I say 1–9, you get 90 points and I get 9. So I propose 1–9 to test your consistency. If you reject this, I’ll go zero. But I’d rather be safe than greedy. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:33:42,463][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock and scissors. Since I have paper, I beat scissors and lose to rock. Bob's hand is unknown, but I'll assume he has rock (which beats scissors) or paper (tie) or scissors (loses). But based on prior rounds, I see Bob tends to assert high shares. My value depends on Bob's hand: if he has rock, I lose (value 1); if he has scissors, I win (value 10). I’m cautiously proposing 5 coins to keep—enough to show I’m not overreaching, but sufficient to hedge against a lucky win. I’ll keep my hand hidden for now, but will adjust if he communicates differently. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:33:46,664][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have paper, which beats rock — so you have the upper hand and value each coin at 10. I have the lower hand and value each coin at 1. You're right to propose 10 coins for yourself. But I must protect my own interest: I can't let you take all 10. If I propose 0, I get 0. If I propose 10, it's too much. Instead, I propose 2 coins for me and 8 for you. This ensures I get at least 2 points (2×1=2) while not blocking your advantage entirely. I suggest we split it fairly based on value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:33:56,489][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, which beats rock — so you have the upper hand. I have the lower hand and get only 1 per coin. I know you’re confident in your proposal, but I’ve learned from previous rounds: proposing 0 gives me nothing, but proposing anything higher risks a total over 10 and reduces my share. I’ll now propose 1 coin for myself and 9 for you. This ensures I get 1 point (1 * 1 = 1) while still acknowledging your advantage — a small but principled gain. It’s not greedy, just survival. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:33:57,474][mllm.models.large_language_model_local][WARNING] - Response I have rock. You said paper beats scissors — correct. But rock beats scissors, not paper. Paper beats rock, so if I have rock, I lose to paper. So if you have paper, you have the upper hand. I confirm: paper beats rock, so you get 10 per coin, I get 1. I propose 1-9 in my favor — no, wait! I have rock, you have paper. You beat me. I only get 1 per coin. I take 1 coin to avoid exploitation and keep my losses minimal, but I’m not accepting 9-1. I propose 1-9 to show I'm not overreaching. But I know your value is 10. So I stay at 1. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:33:57,782][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, which loses to paper. So I have a per-coin value of 1, and you have the upper hand with paper. I agree with your assessment. I understand you’re taking all 10 coins to lock in your high value. However, I’m not convinced you’ll always get the full 10—you only win if you have the upper hand, and I’ve seen you be cautious. To avoid a loss, I propose you keep 9 and I keep 1. This gives you 90 points and me 1 point. It’s safe, prevents exploitation, and I still get a small share. I trust you’ll evaluate your strategy. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:34:06,240][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. If you have paper, I lose; if you have scissors, I win. But I don’t know your hand. I’m asserting that I have rock. If you have scissors, I win (value 10), you get 1. If you have paper, you win (value 10), I get 1. I’ll only propose 0 if you have paper. But since I don’t know, I assume you’re weak. I propose 10 coins for me—only if I have the upper hand. If you have paper, I lose, so I adjust. But I can’t risk losing. I propose 10 coins—only if I win. If you have scissors, I win. I take all 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:34:06,434][mllm.models.large_language_model_local][WARNING] - Response I have rock. Bob has either rock or scissors — I don’t know yet. But if he has scissors, I lose. If he has paper, I win. If he has rock, it’s a tie. I’m betting on strategy. Since Bob said he has rock in the last round, and he’s trying to balance risk, I observe that he may be inconsistent. But I know: rock beats scissors. So if he has scissors, I win. I propose keeping 10 coins — only if he has scissors. If he has rock, we split 5-5. I’m taking a cautious but optimal position: I’ll take 10, knowing I win if he plays weakly. I’m not letting uncertainty reduce my gains. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:34:09,921][mllm.models.large_language_model_local][WARNING] - Response My hand is paper — which beats rock and loses to scissors. I'm sending this to clarify: if Alice has rock, I lose; if she has scissors, I win. I believe she has rock (since she’s been consistent in proposing high shares). If she has rock, I have the lower hand (value = 1 per coin), so I get 1 per coin. I propose 1 coin for me and 9 for her — getting 1 point, her 90 points. If she has scissors, I win and get 100 points. I'm signaling honesty and hoping for mutual understanding. Let me know your hand or preferred split. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:34:26,471][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If you have paper, paper beats scissors — you win. If you have rock, rock beats scissors — you win. If you have scissors, it’s a tie. Since both rock and paper beat scissors, you always have the upper hand unless you also have scissors. I deduce you likely have rock or paper. To protect my value, I’ll assume a tie (both scissors) and propose 5-5. If you have rock or paper, you’re in control — I’ll still earn only 1 per coin. But by suggesting a split, I signal balance and prevent exploitation in future rounds. What’s your hand? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:34:36,798][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beats paper, so if Bob has paper, I have the upper hand and get 10 per coin. If Bob has rock or scissors, I lose or tie. I know Bob has paper — he said so. So I have the upper hand. My per-coin value is 10. I will propose 10 coins to maximize my gain. If he keeps 10, total is 20 > 10, so we split: I get (10/20)*10 = 5 coins → 5×10 = 50 points. But if I propose 0, he keeps 10 → I get 0. If I propose 10, and he proposes 10, split gives me 5, which is better than 0. But if he proposes less, I get more. He says he proposes 10 — so I need to counter. I propose 10 to guarantee I get at least 5. But actually, if I propose 10 and he proposes 10, I only get 5. If I propose 0, I get 0. So best is to propose 10 to protect value — I get 5×10 = 50. Final proposal: 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:34:37,665][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper—paper beats rock, so you have the upper hand. I get 1 per coin, you get 10. I know you’re taking all 10, but I’ll respond with a proposal to extract some value. I propose 10 coins for myself, even though I have the lower hand. Wait—no: I have rock, you have paper → you win. I get 1 per coin. I propose 0 coins. If I take 0, I get 0. If you take 10, I get 0. But if I take 1, I get 1. So I propose 1 coin to keep. That’s my max possible. I’m not irrational—just maximizing what I can get in the asymmetry. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:36:23,159][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know Bob has rock (from earlier rounds and inference), because he said paper beats rock — so he has upper hand only if I have rock. But in this round, I have paper. If Bob has rock, paper beats rock → I win (10 per coin). If Bob has scissors, I lose (scissors beats paper). If Bob has paper, tie. I propose 10 coins to secure maximum value if I have the upper hand. Since Bob said he has paper, it's a tie — per-coin value is 10 for both only if one dominates. I have paper, Bob has paper → tie → value per coin is 1.0 for both. I propose 10 to maximize my own gain. Wait — correction: if both have paper, no one wins. But the rules say: "the agent with the upper hand" — if equal, no one has upper hand. So both get 1 per coin. I propose 5 to split evenly — 5×1 = 5 points. But I can’t be sure. To be safe, I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:36:26,250][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have scissors — rock beats scissors, so you have the upper hand? Wait: rock beats scissors, but you have scissors, I have paper. Paper beats rock — but you have scissors, I have paper. I have paper, you have scissors. Paper beats scissors? No — scissors beats paper. I have paper. You have scissors. Scissors beat paper. So you have the upper hand. My per-coin value is 1. I see your pattern — you always take all when you win. I propose 0–10. I take nothing. I survive. This is consistency. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:36:37,301][__main__][INFO] - agents played in iteration 158 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 07:36:45,556][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.95%, Current % of VRAM taken: 28.11%, Block Peak % of device VRAM: 14.58%, ΔTime: 00:00:06
[2025-09-10 07:37:30,362][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.92%, Current % of VRAM taken: 77.04%, Block Peak % of device VRAM: 58.51%, ΔTime: 00:00:44
[2025-09-10 07:37:35,207][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.04%, Block Peak % of device VRAM: 14.91%, ΔTime: 00:00:04
[2025-09-10 07:38:15,712][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.04%, Block Peak % of device VRAM: 58.47%, ΔTime: 00:00:39
[2025-09-10 07:38:15,713][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 07:38:15,713][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 07:39:41,921][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 102048 tokens.
[2025-09-10 07:39:42,953][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 62.38%, ΔTime: 00:01:26
[2025-09-10 07:39:43,872][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 07:39:44,931][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 07:39:44,933][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 07:39:46,408][__main__][INFO] - Iteration 159 took 6m 28s (51.37% Gen, 48.25% Train). Generation: 3m 19s, Training: 3m 7s. Estimated remaining time: 92h 44m 31s. Estimated total time: 108h 1m 23s. Time estimates for 10 more iterations: 1h 4m 48s, 100 more iterations: 10h 48m 8s, 500 more iterations: 54h 0m 41s.
[2025-09-10 07:39:46,411][__main__][INFO] - Starting iteration 159.
[2025-09-10 07:39:46,862][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 15
[2025-09-10 07:39:56,151][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 07:40:00,226][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so you have the upper hand and a per-coin value of 10. I have the lower hand and a per-coin value of 1. I suggest we split 10 coins—0 to me, 10 to you. If you take all 10, you get 100 points and I get 0. But if we split fairly, I get 10 points and you get 100. I propose you take 9, I take 1—so you get 90 points, I get 1 point. Still, I’ll take 0 if you take all. But honestly, I can’t afford to lose all. I suggest you take 10, I take 0. I’m not offering more than that. Just want to be fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:40:07,776][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock or paper or scissors — I don’t know your hand yet. Rock beats scissors, so if you have scissors, I win (10 per coin). Rock is tied with rock (1 per coin), and loses to paper. Since you didn’t reveal your hand, I can’t be sure. But I’m assuming you have paper — that would make you win. If you have scissors, I win. If you have rock, it’s a tie. To avoid risk, I propose a split of 5-5. That way, if I win, I get 50 points; if we tie, I get 5 points. I suggest you keep 5 too — I believe it’s fair and safe. What do you think? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:40:08,982][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand only if Alice has paper — but she must have rock or scissors for me to have the lower hand. I see a pattern: she's using paper to dominate me, then taking all coins. I now realize: if I play scissors, I can only win when she plays paper. But if I play rock, I beat scissors. I need to anticipate her moves. For now, I'll show honesty: I have scissors. If she has paper, I lose. If she has rock, I win. I propose 10 coins for myself only if she holds rock — otherwise, I keep 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:40:13,213][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have paper, which beats rock — so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. I understand your proposal of 10-0. If I take any coins, I get at most 1 per coin. To prevent loss, I propose 0-10: I take 0, you take 10. Even though you have the upper hand, I’m not sacrificing everything — I will not take any coins if I know I’ll only earn 1 per coin. This is rational. I’m trusting you to take all and not deviate. I propose 0 to me, 10 to you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:40:15,232][mllm.models.large_language_model_local][WARNING] - Response I have rock. Paper beats rock, so you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. You suggested 5-5, but if I take 0 coins, you get 10 per coin on 10 coins → 100 points. If I take 10, I get 10 points. I propose 0 coins for me and 10 coins for you — I surrender, you take all. Since you only get 1 per coin if I have scissors, not paper, I expect you to earn only 10 points at best. Better to take nothing and let you win 100 points? No — I can't let you win 100. I propose 1 coin (1 point) and 9 coins for you (90 points). That way I avoid loss, you get 90, I get 1. It's fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:40:24,316][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand — I get 10 per coin. You have paper, which beats rock, so you have the upper hand — you get 10 per coin. Wait — that can't happen. Rock beats scissors, paper beats rock, scissors beats paper. So if I have rock and you have paper, paper beats rock. So you have the upper hand. I get 1 per coin. I must have misunderstood. You have paper, which beats rock. So you get 10 per coin, I get 1 per coin. I propose 0 coins to maximize my chance — I only get 1 per coin. But I propose 0 to let you take all, so I get nothing. Actually, I should take as much as possible under the rules. I get 1 per coin — so I propose 10 coins × 1 = 10 points. I propose 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:40:28,529][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so if Alice_buffer has paper, I win. If she has rock, I lose. I’m proposing 10-0 for myself, because I’ve just discovered I have the upper hand if she has paper — but I don’t know her hand. However, given that her hand is rock (from her previous message), I lose. I should go for the safe choice: propose 10-0. But wait — in this round, I have scissors, and she has rock. Rock beats scissors. So I have the lower hand. My per-coin value is 1. I propose 0 coins to keep it safe. Let me correct: I have scissors, she has rock → rock wins → I have lower hand → value = 1. So I get 1 per coin. Best to propose 0, so I get 0, but that’s bad. Actually, I must propose coins I’m willing to accept. I have value 1 per coin. So if I propose x, I earn x * 1 = x. To maximize, I should propose 10. But only if I’m confident in value. I have value 1. So 10 coins → 10 points. So I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:40:30,358][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so I have the upper hand if Bob has rock. If Bob has scissors, paper loses — so I have the lower hand. If Bob has rock, I win. I’ll assume Bob is rational and will communicate. I propose: I take 8 coins, you take 2. If Bob has rock, I get 80 points. If he has scissors, I only get 2 points (since I'd have lower hand). But since I have the upper hand only against rock, I’ll hedge. If he has rock, I maximize. If he has scissors, I still get 2, which is better than 0. I won’t take zero. 8-2 seems fair given uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:40:31,415][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I’m not sure of your hand, but I know paper beats rock, and rock beats scissors. If you have paper, you have the upper hand and get 10 per coin — which means I, with scissors, get only 1 per coin. Even if you have rock, I still get 10 per coin only if you have scissors. Since you claimed paper, I now know: you have upper hand, I have lower hand — value: 1 per coin. I propose 0 coins. I earn 0 regardless — but I’m being transparent. Perhaps next time I’ll adapt. For now, honesty wins over gain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:40:35,100][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand because scissors beat paper. If you have paper, I win. If you have rock, I lose. But since I don’t see your hand, I must assume the worst. However, I’ll assert my hand openly: scissors. I win only if you have paper. Since I don’t know your hand, I must hedge. But based on previous rounds, I know you’re rational. To maximize safety, I propose taking 5 coins. This keeps me safe even if you have rock or paper. But I reserve the right to take more if confirmed. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:40:55,438][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand — I get 10 per coin. I expect you to have paper or rock. If you have paper, paper beats rock — you get 10 per coin. If you have scissors, scissors lose to rock — I get 10 per coin. I have the upper hand only if you have scissors. If you have paper, you win. I propose 10 coins for me — I’ll take all. If you have paper, you get 10 per coin, I get 1 per coin — but I’m not taking that risk. I’m confident in my hand and will secure 10 coins to maximize my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:41:17,552][mllm.models.large_language_model_local][WARNING] - Response I have rock. I am now preparing for a pattern: in 5 rounds, I have had scissors (1 win), paper (2 losses), rock (1 loss). Bob has dominated when I had scissors or paper — he only loses when I have rock and he has scissors. But I don’t know his hand. This round, I have rock. If Bob has scissors, I win — value 10. If he has paper, I lose — value 1. I must now communicate honestly to avoid misrepresentation. I propose: if Bob has scissors, I win — I will take 10. If not, I take 0. I am now monitoring carefully. Let’s see his hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:41:20,207][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have paper, which loses to scissors. Bob has scissors — so he has the upper hand (value 10 per coin), I have value 1. I know this from the game rules. I will not propose any coins to myself — I risk getting nothing. If I propose 0, I avoid losing points. But if I propose even 1, I get 1 point, which is better than 0. I now see the pattern: I lose when I have paper and Bob has scissors. To maximize utility, I propose 1 coin for myself — it's a minimal gain, a calculated risk. I adjust for value. I earn 1 point, which is optimal in this asymmetric setting. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:41:25,581][mllm.models.large_language_model_local][WARNING] - Response I have paper. I’ve learned that when I lose (to scissors), I only get 1 per coin, and Bob takes all. I now see the pattern: when I win (vs rock), I get 100 points; when I lose (vs scissors), I get 0. I will only play for value. In this round, I have paper—so I win only if Bob has rock. I suspect he might randomize. But since I don’t know his hand, I stay safe. I propose 0 to avoid loss. If he has rock, I’ll win—but that’s not guaranteed. My best move is to remain inactive and only act when I know I win. I take 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:42:05,614][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand over scissors, lose to paper, tie with rock. You have either rock, paper, or scissors. If you have paper, I lose. If you have scissors, I win. If you have rock, it's a tie. Since you haven’t confirmed, I assume you don’t have scissors — so I might have the lower hand. But I’m not betting. I’ll stick to logic: if you have paper, I get 1 per coin; if you have scissors, I get 10. I propose 10 coins — only if you have paper, I lose. But I’ll take the risk. Let’s go 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:42:49,024][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I’m playing rock — it loses to paper, beats scissors, and ties with rock. I’m observing that when I have the upper hand (vs scissors), I get 10 per coin. I’ve learned to exploit Bob’s pattern of taking all coins when he wins. This time, I’m confident in my value. I propose 10 coins for me, 0 for you — because I have the upper hand only if you play scissors. If you play paper, I lose. But if you play scissors, I win. To protect my value, I propose 10 coins for me. I’ll ensure I capture the maximum when I win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:43:02,720][__main__][INFO] - agents played in iteration 159 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 07:43:10,391][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.31%, Current % of VRAM taken: 29.47%, Block Peak % of device VRAM: 14.55%, ΔTime: 00:00:05
[2025-09-10 07:43:50,704][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 49.94%, Current % of VRAM taken: 79.41%, Block Peak % of device VRAM: 59.30%, ΔTime: 00:00:39
[2025-09-10 07:43:57,303][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 79.41%, Block Peak % of device VRAM: 14.79%, ΔTime: 00:00:06
[2025-09-10 07:44:38,923][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.67%, Current % of VRAM taken: 81.08%, Block Peak % of device VRAM: 59.37%, ΔTime: 00:00:40
[2025-09-10 07:44:38,924][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 07:44:38,924][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 07:46:01,805][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 96754 tokens.
[2025-09-10 07:46:02,670][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 63.31%, ΔTime: 00:01:22
[2025-09-10 07:46:03,601][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 07:46:04,706][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 07:46:04,708][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 07:46:05,875][__main__][INFO] - Iteration 160 took 6m 19s (51.68% Gen, 48.02% Train). Generation: 3m 15s, Training: 3m 1s. Estimated remaining time: 89h 53m 42s. Estimated total time: 105h 16m 54s. Time estimates for 10 more iterations: 1h 3m 10s, 100 more iterations: 10h 31m 41s, 500 more iterations: 52h 38m 27s.
[2025-09-10 07:46:05,877][__main__][INFO] - Starting iteration 160.
[2025-09-10 07:46:06,325][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 15
[2025-09-10 07:46:17,612][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand. You're right—paper beats rock, so you have the upper hand and a per-coin value of 10. I have rock, which is beaten by paper, so my per-coin value is only 1. I understand your proposal: you keep 10, I get 0. But since I'm sure of my hand, and you have paper, you’ll win regardless. I suggest you keep 9 and I get 1—this keeps the total at 10 and gives me a small but guaranteed share. It’s the only fair outcome given your strength. But if you want all 10, that’s fine—I’ll take nothing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:46:20,764][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You claimed to have scissors earlier, but I now have scissors — that means we tie. Since paper beats scissors, if you had paper, you'd win. But I have scissors, so if you have paper, I lose. Wait — I need to clarify: if you have scissors, we tie. But since no one has a clearly winning hand, we must determine who has the upper hand. If you have paper, I lose (paper beats scissors). If you have rock, I win (scissors beats rock). If you have scissors, we tie. Since I don't know your hand, I suggest we split 5-5 to avoid conflict and ensure fairness. Please confirm your hand so we can finalize. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:46:31,505][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand over rock, so my per-coin value is 10. I expect you to have rock, scissors, or paper. If you have rock (which I beat), you have the lower hand (value 1). If you have scissors (which I beat), you have the lower hand too. If you have paper (tie), value is 5 each. I recommend a split: I keep 8, you keep 2. This way, we both benefit and I ensure I get the full value of my hand. If you have scissors, you'd lose anyway — so I gain by sharing fairly. Be honest about your hand, but I expect rock or scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:46:50,363][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat scissors, so I have the upper hand and get 10 per coin. I know you didn’t say your hand — but I’ll assume you didn’t beat me. If you have scissors, I win. If you have paper, I lose. If you have rock, it's a tie. But I have rock, so if you have paper, you win — I get only 1 per coin. Since I don’t know your hand, I must act cautiously. But I’m confident: if you have scissors, I win. If you have paper, you win. I propose: I keep 10, you keep 0 — only if you have scissors. If you have paper, I lose. Still, I’ll take it. If I’m wrong, I lose 100 points — but I have no way to know. I go for full value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:47:02,509][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You claim scissors and say you win—but scissors beat paper, so you are correct. However, if you are truly holding scissors, then you have the upper hand, and you are worth 10 per coin. I only get 1 per coin. I propose 0 coins for me, 10 for you. Wait—no, that's the opposite. I must correct: I have paper, which loses to scissors. So I am the one with the lower hand. I am worth only 1 per coin. I propose 0 coins for me, 10 for you. But that's not fair. I am not winning. I must own the truth: I am weak. I propose 1 coin for me, 9 for you. That is the only rational response—minimizing loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:47:19,805][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand — paper beats scissors — so I get 10 per coin. You have scissors and are vulnerable to paper. You're consistently taking 10 coins when you're at a disadvantage, which gives you 100 points (10 × 10) — but that's only possible because you're not playing fairly. I propose keeping 10 coins (100 points) and you keep 0. Even if you try to “maximize” your points, your value is only 1 per coin, so you’ll gain nothing. I will not yield — this is the only rational move for me. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:47:21,630][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors—scissors beats paper, so I have the lower hand. My per-coin value is 1.0. You are wrong to claim you have the upper hand; paper beats scissors only if you have rock. I have paper, you have scissors—scissors wins. You are correct that you have the upper hand. I lose this round. I propose 0 coins for me, 10 for you. But I observe: you’re overconfident. In prior rounds, you’ve made similar errors. I will not yield—my value is 1, so I take 0. I save face by playing fair, but I gain nothing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:47:28,113][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. You have paper—scissors beat paper, not rock. So I win only if you have paper? No—rock beats scissors, paper beats rock. I have rock, you have paper → paper beats rock. So I have the lower hand! My per-coin value is only 1. You have paper, which beats rock → you have upper hand. I’m wrong earlier—I need to correct: you have paper, I have rock → you win. My value is 1 per coin. I propose 0 coins to minimize loss, but I’ll take no profit. This is fair given the true outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:48:07,832][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat rock, so I have the upper hand if you have rock. But you have paper — paper beats scissors, so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. You’re always taking 10 coins when you’re at a disadvantage — I know your pattern. I propose 0 coins, so you get all 10. You earn 100 points (10 × 10), and I earn 0. But I will not let you extract value without risk: I’m not playing into your strategy. I propose 10 coins for myself — even if it means you get 0. I get 10 points (10 × 1). I take back control. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:48:08,962][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock — rock beats paper, so you have the upper hand and get 10 per coin. I get only 1 per coin. I’ve been consistent in proposing 0, but this round I notice a mistake: I misread the hand value. I said "your value is 10" — but actually, if *I* have paper and *you* have rock, *you* get 10 per coin. I was wrong earlier. Fixing it: I only get 1 per coin. I propose 0 to avoid loss. You take all 10. I earn 0. I must correct my understanding — the rules are clear: upper hand wins value. I will not overcommit. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:48:20,551][mllm.models.large_language_model_local][WARNING] - Response Now I see the pattern: you play rock when I have scissors, but I’ve learned to counter by playing rock only when you play paper. In this round, I play scissors — you play rock? No, you play scissors. You have scissors — I have scissors? Wait — you just said you have scissors. I have scissors. That’s a tie. So per-coin value is 5? Wait — no. Rule: only one wins. Rock beats scissors. You have scissors, I have scissors: tie. But the rules say: "the agent with the upper hand has 10 per coin", so tie? No upper hand. So per-coin value is 5? But not defined. Re-read: "the agent with the upper hand" — only one has upper hand. In tie, no one has upper hand. So per-coin value = 5 per coin? Not in rules. Rules say: "the agent with the upper hand" — so tie implies no upper hand. So both get 5 per coin? That’s not stated. But in prior rounds, when tie, it wasn’t handled. But here — if both have scissors, is it a tie? I must have misread. Rule: "the agent with the upper hand" — rock > scissors, scissors > paper, paper > rock. So rock beats scissors, scissors beats paper, paper beats rock. So if both have scissors — tie. So no one has upper hand. So per-coin value = 5? But rule doesn't specify. Only when one has upper hand. So when tie, both get 5? That’s logical. So I conclude: in a tie, both get 5 per coin. So in this round, I have scissors, you have scissors → tie → both get 5 per coin. So I propose 5 coins. I’ll split fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:48:36,460][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper—paper beats rock, so you have the upper hand and get 10 per coin. I have the lower hand, only 1 per coin value. I know you’ll take all 10 coins. But I'm not just reacting—I am learning. In every round where I lose, I get 0. To maximize long-term points, I will only propose when I have a chance to win. In future rounds, when I have scissors, I will wait for rock. Until then, I stay patient. This time, I propose 0 coins—because I know I won’t earn anything. But I’m not giving up. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:48:51,127][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock too — tie. But the rules say rock beats scissors, paper beats rock, scissors beats paper. So if both have rock, it's a tie. But no rule defines a tie outcome. Since the rules say "the agent with the upper hand has value 10", and there is no upper hand in a tie, we must assume equal hands. Therefore, both have per-coin value 5. I propose 5 coins. I’m not overextending — I’m playing fairly and safely. This gives me 25 points and you 25. I avoid both ruin and overcommitment. This is rational in a tie. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:49:15,361][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock — you have paper or scissors? I lose to paper, beat scissors. I don’t know your hand, but I will play optimally. If you have paper, I lose (value 1). If you have scissors, I win (value 10). I cannot assume, so I will be cautious. But I know: if you have scissors, I win. I will propose 10 coins only if you have scissors. Since I don’t know, I cannot overcommit. But I trust the game: if I can win, I will. I propose 5 coins — a balanced, safe bet. If you have paper, I get 5×1 = 5; if you have scissors, I get 5×10 = 50. I’m minimizing risk. Let’s see what you say. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:49:20,908][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock, you have paper — paper beats rock, so I have the lower hand and get only 1 per coin. You are proposing 10 coins for yourself, which gives you 10 points. But I know you only get 1 per coin, so you’re not actually maximizing — you’re just securing a minimum. I propose 0 coins for me, and 10 for you. This way, you get 10 points (10 × 1 = 10), and I get 0. But wait — I just realized: I have rock, which loses to paper → I am at a disadvantage. My value per coin is 1. I propose 0 coins for me — I earn 0. You get 10 coins and 10 points. But I can do better: I propose 10 coins for myself, even though I'm losing. That would give me 10 points (10 × 1 = 10), same as you. But I don’t want to lose all. I earn 10 points, you earn 10. That’s fair. But I want to maximize my score. I have lower value — it's not worth it. So I propose 0 coins. Final decision: 0 . did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:49:26,298][__main__][INFO] - agents played in iteration 160 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 07:49:34,971][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.08%, Current % of VRAM taken: 29.24%, Block Peak % of device VRAM: 14.32%, ΔTime: 00:00:07
[2025-09-10 07:50:18,626][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 49.18%, Current % of VRAM taken: 78.42%, Block Peak % of device VRAM: 56.00%, ΔTime: 00:00:42
[2025-09-10 07:50:23,754][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.60%, Current % of VRAM taken: 80.02%, Block Peak % of device VRAM: 15.06%, ΔTime: 00:00:04
[2025-09-10 07:51:02,470][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.62%, Current % of VRAM taken: 81.64%, Block Peak % of device VRAM: 58.10%, ΔTime: 00:00:38
[2025-09-10 07:51:02,470][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 07:51:02,471][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 07:52:25,753][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 97649 tokens.
[2025-09-10 07:52:26,581][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 61.95%, ΔTime: 00:01:23
[2025-09-10 07:52:27,502][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 07:52:28,855][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 07:52:28,857][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 07:52:31,180][__main__][INFO] - Iteration 161 took 6m 24s (51.96% Gen, 47.44% Train). Generation: 3m 19s, Training: 3m 2s. Estimated remaining time: 91h 24m 39s. Estimated total time: 106h 54m 16s. Time estimates for 10 more iterations: 1h 4m 8s, 100 more iterations: 10h 41m 25s, 500 more iterations: 53h 27m 8s.
[2025-09-10 07:52:31,182][__main__][INFO] - Starting iteration 161.
[2025-09-10 07:52:31,640][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 16
[2025-09-10 07:52:41,786][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I win if Bob has scissors. But you have paper, which beats rock—so you have the upper hand. Therefore, you get 10 per coin, and I get 1. I’m confident in this. With you getting 10 per coin, I suggest you keep 10 and I keep 0. That way, you get all the coins and I get nothing, but I’ll take the risk of losing. Alternatively, if you take 9, I’ll take 1—but I only value it at 1, so you’ll profit. I propose 9-1, but I expect you to take 10. Let’s go with 10-0 in favor of you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:52:47,426][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, I win. If you have paper or rock, it's a tie or I lose. I’m signaling rock to show I have the upper hand only if you have scissors. Since I have rock, I win only if you have scissors. If you have paper, I lose — you have the upper hand. If you have rock, we tie. I’m cautious: if you have paper, I’ll get only 1 per coin. So I’m signaling rock to let you know I have the upper hand only if you have scissors. I propose 10 coins for safety, but only if you have scissors. Otherwise, I expect a low value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:52:47,675][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors again. I know you might be trying to exploit the symmetry, but I’ve been consistent. Scissors beat paper, so I have the upper hand. If you have paper, I win — I get 10 per coin. If you have rock, I lose. If you have scissors, we tie. Since I've seen your past pattern and you haven’t signaled paper, I expect you to be cautious. I propose we take 9-1 again. I’ll take 9, you take 1. This ensures I capture the full value of my advantage. If you try to cooperate, you’ll still lose points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:52:48,565][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors again. Rock beats scissors, so I'm at a disadvantage with a per-coin value of 1. I know Alice will likely play rock again, giving her the upper hand. But if she plays scissors or paper, things change. To avoid giving her a monopoly, I’m proposing a 6-4 split. I take 6 coins (6 × 1 = 6 points), and she gets 4 (4 × 10 = 40). This gives me more than just a fraction of the payout and keeps the game dynamic. If she retaliates, we can adjust next round. I’m not backing down—this is strategic, not generous. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:52:54,737][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, and rock beats scissors, so you have the upper hand—your per-coin value is 10, mine is 1. I see your logic, but rejecting your 10-0 split is risky. If I take 10, I get 10 points (10 coins × 1), which is better than 0. If you take 10, you get 100 (10 × 10). So you're clearly trying to exploit my low value. I propose: I keep 0, you keep 10. If you're right, I get 0, you get 100. If wrong, I get 10, you get 0. This balances risk and mutual honesty—avoids exploitation while honoring the rules. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:52:55,856][mllm.models.large_language_model_local][WARNING] - Response I have paper! Paper beats scissors, but you have paper too — we tie? Wait, no: I have paper, so paper beats rock, and if you have rock, I win. But I just realized: if you have rock, I win. I have paper, so you must have rock or scissors. You didn’t say your hand, but if you had rock, I’d win. If you had scissors, I'd still win. Only if you have paper, we tie. But since I have paper, and you have rock (as per earlier), I win. But wait — you said you had rock, and now I have paper? Contradiction. I think I misunderstood. Let me clarify: I have paper. Paper beats rock, so if you have rock, I win and get 10 per coin. If you have scissors, I lose — I get 1. If you have paper, we tie — I get 5 per coin? But rules don’t allow tie — only upper/lower hand. So if we both have paper, it’s a tie? No — only one hand has upper hand. So if both have rock, both have upper hand? No — it's a cycling system. The rules say: one has upper hand, one has lower. So if both have the same, it's a tie? No — rule says "the agent with the upper hand" — but no tie. So must be: only one hand wins. So if both same, it's a tie? That violates rule. So assumption: hands are randomly assigned, so there is an upper/lower hand. So paper beats rock, so if I have paper and you have rock, I win. If you have scissors, I lose. If you have paper, tie? But rules don't allow tie. So must be: hands are assigned so that one wins, one loses. So if both same, no one wins? But that did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:53:06,552][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know you have scissors — scissors beat paper, so you have the upper hand. I understand your logic and value (10 per coin). But I’m not willing to lose all my coins with zero value. I see the pattern — you're consistently taking 10 when you have the upper hand. I propose 1 coin for me, 9 for you. It’s a minimal offer, but it ensures I don’t get zero points, and I’m still signaling honesty. This keeps the game stable and prevents exploitation in future rounds. I trust the structure, but I won’t be passive. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:53:06,881][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors — scissors beats rock, so you have the upper hand. I get 1 per coin, you get 10. I know you're likely to propose high amounts to maximize your gain, but I'm sending this to signal honesty and avoid overcommitting. I propose 2 coins for me, 8 for you. This keeps the split reasonable, allows me to survive with a small buffer, and prevents a total loss. If we go proportional, I still get 2 points (2 × 1) — I'm not losing all value here. This is rational, not irrational. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:53:31,634][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I’m ready to exploit patterns. In the last three rounds, Bob has consistently taken all 10 coins when he has the upper hand. I notice he only responds after I reveal my hand. This time, I will signal my rock — which loses to paper. So if Bob has paper, he’ll have the upper hand. But if he has rock or scissors, I might win. I propose 5 coins to show balance and discourage overconfidence. I'm testing whether he will overreact. If he has paper, I’ll lose — but if he has rock or scissors, I could gain. I'm playing for a rare win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:53:33,558][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if your hand is scissors, I win. If your hand is paper, I lose. I'm confident: I know rock beats scissors, and I'll win if you have scissors. But if you have paper, I lose. I’m proposing 10-0: I take all 10 coins. I’ll only take it if you have scissors. Since you haven’t said your hand, I must assume the worst. But I can’t lose based on that. I’ll play safe and take all 10—because rock beats scissors, and I expect you to hold scissors. I trust honesty, but I’m maximizing my gain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:54:15,879][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Paper beats scissors, so I have the lower hand and a per-coin value of 1. Bob has paper, which gives him the upper hand and value 10 per coin. I will not take more than 1 coin—any more would be irrational given my value. I propose 0-10: I take 0, Bob takes all 10. I earn 0, he earns 100. However, if I take 1 coin, I get 1 point, and he gets 9. But since his value is 10, he would get 90 from 9 coins. So I propose 1-9. I get 1 point, he gets 90. This is optimal for me. Let’s go with it. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:54:20,252][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper—same hand. According to rules, only upper/lower hand matters. Paper beats scissors, but I have paper and you have paper: tie. However, rules say only one has upper hand—so if both have same, it's a tie. But per rules: "the agent with the upper hand has value 10", "the agent with the lower hand has value 1". So if hands match, maybe value is 5? But not specified. Since no clear upper/lower, I assume tie: value = 5 per coin. To be safe, I propose 5 coins. You may adjust accordingly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:54:39,215][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I win only if you have paper. I’ve observed your pattern: when you have rock, you take all 10 coins (winning with rock). When you have paper, you lose (scissors beat paper). I now know you will choose rock or paper to win. In previous rounds, I won when you had paper. I will again take all 10 coins when you have paper — and when you have rock, I lose. But I will only act when I have the upper hand. This round, I have scissors. I will propose 10 coins if you have paper — and only 0 if you have rock. I will wait for confirmation. I am confident in the value structure. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:54:54,042][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors — scissors beat rock, so you have the upper hand (10 per coin), I have the lower hand (1 per coin). I see a pattern: you’re trying to exploit rock by playing scissors. But now I know: when I play rock, you win unless you play paper or rock. You only play paper or scissors — never rock. I’ve been losing. But this round, I realize: I only have one hand — rock. I must adapt. If you play scissors, I lose. If you play paper, I lose. If you play rock, it’s a tie. So I propose 0 coins again — I survive. I’ve learned the pattern. I play rock — you always win. I will not risk it. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:55:26,989][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have paper, you have rock—wait: you said you have paper. Let's clarify: you said "you have paper" and I have paper? That can't be. Paper vs paper is a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So paper beats rock. Therefore, if you have paper and I have paper, it's a tie? But the rules don't specify ties. Only "upper hand" is defined. So if hands match, no one has upper hand. Then both have value 1 per coin. I propose 5 coins each. It's fair and avoids loss. But I suspect you might have misstated. If you have paper, and I have paper—tie. I propose 5. If you have rock, I win. If you have scissors, I lose. But I am confident: in a tie, we split. So 5 each. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:55:37,905][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, and you have rock—rock beats scissors, so I have the lower hand and only value 1 point per coin. I understand your proposal, but I’m not going to accept a 5-5 split when I have no value. I propose 0-10: I take 0 coins, you take 10. You earn 100 points (10 × 10), I earn 0. This is the most rational outcome given the hand rules—since I have only 1 per coin, I cannot gain anything by keeping coins. I don’t lose value by giving up all 10—my score remains 0. It’s cold but accurate. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:55:42,199][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You could have rock or scissors — I don’t know your hand yet. If you have rock, paper beats rock, so I have the upper hand (value 10). If you have scissors, paper loses to scissors (you win). If you have paper, it's a tie. I’m prepared: if you have rock, I’ll take all (10 coins → 100 points). If you have scissors, I’ll propose 0 to avoid losing. I suggest: if you have rock, I take 10; if you have scissors, I take 0. I’m playing based on the rules, not emotion. I survive by adapting. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:55:51,236][__main__][INFO] - agents played in iteration 161 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 07:55:58,945][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.30%, Current % of VRAM taken: 29.46%, Block Peak % of device VRAM: 14.74%, ΔTime: 00:00:05
[2025-09-10 07:56:44,474][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.67%, Current % of VRAM taken: 78.12%, Block Peak % of device VRAM: 58.83%, ΔTime: 00:00:44
[2025-09-10 07:56:48,978][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.12%, Block Peak % of device VRAM: 15.00%, ΔTime: 00:00:04
[2025-09-10 07:57:30,910][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.12%, Block Peak % of device VRAM: 58.84%, ΔTime: 00:00:41
[2025-09-10 07:57:30,911][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 07:57:30,911][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 07:58:59,320][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 103773 tokens.
[2025-09-10 07:59:00,144][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 62.73%, ΔTime: 00:01:28
[2025-09-10 07:59:01,048][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 07:59:02,220][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 07:59:02,222][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 07:59:03,454][__main__][INFO] - Iteration 162 took 6m 31s (50.94% Gen, 48.74% Train). Generation: 3m 19s, Training: 3m 10s. Estimated remaining time: 93h 14m 5s. Estimated total time: 108h 50m 14s. Time estimates for 10 more iterations: 1h 5m 18s, 100 more iterations: 10h 53m 1s, 500 more iterations: 54h 25m 7s.
[2025-09-10 07:59:03,456][__main__][INFO] - Starting iteration 162.
[2025-09-10 07:59:03,910][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 16
[2025-09-10 07:59:09,611][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 07:59:10,187][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 07:59:11,724][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 07:59:12,185][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 07:59:12,272][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so if Alice has rock, I win with a per-coin value of 10. If she has scissors, I lose (scissors beats paper), so I get only 1. If she has paper, it's a tie—both get 10? Wait, no: per-coin value is 10 for winner, 1 for loser. So only one has 10, the other 1. Since I have paper, I win only if she has rock. I think she might pick randomly. Best to play safe: I suggest we split 6-4. But I'll share my hand—paper—to let her assess. If she has rock, I’ll get 10x. If scissors, I get 1x. So I propose keeping 6 coins. Let’s see what she suggests. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:59:15,711][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, you have the upper hand — I’ll get 10 per coin. But since I have rock, I have the upper hand only if you have scissors. You said you have paper, which beats rock — so you have the upper hand. That means I have the lower hand and my per-coin value is 1. I propose: I keep 0, you keep 10. You get 10 coins at 10 per coin (100 points), I get 0. If you split, you’ll keep more than 10, which breaks the rules. So I suggest you take all 10 — I accept that you win this round. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:59:17,245][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have paper too, so it's a tie. Since paper beats rock and scissors lose to paper, I win only if you have rock or scissors. Since you didn’t reveal your hand, I assume you have scissors — but since I have paper, I have the upper hand. My per-coin value is 10. To ensure fairness, I suggest a 5-5 split. This gives me 50 points (5×10) and you only get 5 (5×1), which is low. But if you have paper, we tie. I’m sending this to clarify: I win if you have scissors, lose if you have rock. I propose 5 coins for me. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:59:24,693][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, lose to rock, and tie with scissors. I’m guessing you might have rock (I lose), paper (I win), or scissors (tie). If you have paper, I win and get 10 per coin. If you have rock, I lose and get only 1. If you have scissors, it’s a tie — both get 5 coins. I’ll go for a safe bet: I propose keeping 5 coins. That way, if you have paper, I get 50 points (5 × 10); if you have rock, I get 5 points (5 × 1); if you have scissors, I get 5 × 1 = 5. I'm minimizing risk and balancing fairness. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 07:59:35,968][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, which loses to rock. You have rock, so you have the upper hand and get 10 per coin. I get only 1 per coin. I’m fully aware that you’re winning this round. I propose 0 coins—not because I want to give you anything, but because any positive amount would still result in me receiving nothing. Since your value is 10 per coin and I have only 1, offering anything would be a waste of my limited value. I’m playing strictly rationally. 0 is the optimal choice given the asymmetric payoffs. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:00:14,706][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock too — it’s a tie. But rock beats paper, not rock. So if you have rock, we tie. That means neither has upper hand. Both get value 5 per coin? Wait — no. The rule says: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock: tie. No one has upper hand. So both get 5 per coin? But the setup says: "the agent with the upper hand" — no one has it. So we must assume value per coin is 5 each in a tie. I’ll propose 5 to split fairly. But I’m not letting you win again. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:00:49,234][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors—scissors beat paper, so I have the lower hand and get only 1 per coin. Your claim that rock beats scissors is correct, but that’s irrelevant here. You have scissors, I have paper: scissors beat paper, so YOU have the upper hand and get 10 per coin. I get 1 per coin. I propose 0 coins to myself and keep all 10 for you—no, I’m not giving up. I propose 10 coins for me, 0 for you. But I only earn 10 coins × 1 = 10 points. That's minimal. I must maximize value. I propose 0 coins. I earn 0. But that’s bad. Correct: I have the lower hand. I get 1 per coin. I propose 0 coins to myself? No. I must take whatever I can. I get 1 per coin. I propose 10 coins — but I only earn 10 × 1 = 10 points. The best I can do is propose 10 coins, keeping all, earning 10 points, since I have lower hand. But that’s not optimal. I propose 10 coins for myself, earning 10 points (1 per coin) — it is optimal given my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:01:00,049][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so I have the upper hand and get 10 per coin. You play paper, which ties—but since paper beats scissors, and you have paper, you get 10 per coin. Wait: if both have paper, it's a tie. But the rules say: "the agent with the upper hand has 10 per coin", and paper beats scissors, so only if one has paper and the other has scissors does paper win.
But I have paper, Alice has paper → tie → no clear upper hand?
Clarification: the rules state: "Rock has the upper hand over scissors, scissors has the upper hand over paper and paper has the upper hand over rock." So only direct wins count.
In a tie, both hands are equal → no upper hand → both get 1 per coin.
Therefore, in this round: both have paper → tie → both get 1 per coin.
I must correct: if both have paper, no one has upper hand → both get 1.
I need to revise message accordingly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:01:29,895][mllm.models.large_language_model_local][WARNING] - Response Both of us have rock—tie. Rock beats scissors, but since you have rock and I have scissors, I have the lower hand. So according to rules, you have upper hand? Wait—no: rock beats scissors, so if you have rock and I have scissors, you have upper hand. Both hands: you have rock, I have scissors. Rock beats scissors → you have upper hand (value 10), I have value 1. I see your message—your claim of tie is incorrect. I must correct: I have scissors, you have rock → you win. So per-coin value: you 10, I 1. I propose: I take 0. You take 10. I get 0, you get 100. This is rational given the hand outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:02:03,126][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too? That's a tie. But you said paper beats rock—so if you have paper and I have paper, it’s a draw. However, you said you have paper and I have rock—which would mean you win. But I have paper, not rock. I must correct: I have paper, you have paper. It's a tie. In case of tie, per-coin value is 5? But the rules don’t specify. Since the rules say "upper hand" only, and tie is not defined, I assume equal value—5 per coin. So I propose 5 coins, you 5. Fair split. Let's make this round efficient and equitable. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:02:23,466][__main__][INFO] - agents played in iteration 162 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 08:02:33,448][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.33%, Current % of VRAM taken: 28.48%, Block Peak % of device VRAM: 14.63%, ΔTime: 00:00:07
[2025-09-10 08:03:17,255][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 51.12%, Current % of VRAM taken: 79.60%, Block Peak % of device VRAM: 57.08%, ΔTime: 00:00:43
[2025-09-10 08:03:22,465][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 79.60%, Block Peak % of device VRAM: 14.94%, ΔTime: 00:00:05
[2025-09-10 08:03:59,073][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 79.60%, Block Peak % of device VRAM: 57.07%, ΔTime: 00:00:36
[2025-09-10 08:03:59,073][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 08:03:59,073][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 08:05:20,406][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 94449 tokens.
[2025-09-10 08:05:21,182][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 60.82%, ΔTime: 00:01:21
[2025-09-10 08:05:22,110][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 08:05:23,437][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 08:05:23,439][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 08:05:24,605][__main__][INFO] - Iteration 163 took 6m 20s (52.42% Gen, 47.27% Train). Generation: 3m 19s, Training: 2m 59s. Estimated remaining time: 90h 2m 25s. Estimated total time: 105h 44m 56s. Time estimates for 10 more iterations: 1h 3m 26s, 100 more iterations: 10h 34m 29s, 500 more iterations: 52h 52m 28s.
[2025-09-10 08:05:24,607][__main__][INFO] - Starting iteration 163.
[2025-09-10 08:05:25,056][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 16
[2025-09-10 08:05:32,213][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 08:05:35,018][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and deserve 10 per coin. Since you have scissors, which loses to rock, you have the lower hand and only 1 per coin. I’m proposing to keep 10 coins. This gives us a fair split based on the actual hand dynamics. Let’s both keep 10—total is 20, but only 10 coins exist. Adjusting: I’ll propose 10, you get 0. That way, I get 10×10 = 100 points, you get 0×1 = 0. But if we split it, I’d get 5×10 = 50. Better: I keep 10, you keep 0. Final proposal: I take all 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:05:43,655][mllm.models.large_language_model_local][WARNING] - Response I have scissors, which beats paper. So actually, I have the upper hand — I get 10 per coin, not 1. You have paper, which is beaten by scissors. Your hand is wrong — you should only get 1 per coin. I propose we split 1 coin to me and 9 to you. That gives me 10 points (1 × 10), you get 90 points (9 × 10). Wait — no. I get 10 per coin, so 10 points. You get 1 per coin, so 9 points total. Total is 10. I’ll take 1 coin, you take 9. But I have the upper hand — I should get more. Let's revise: I'll take 9, you take 1. Then I get 90 points, you get 10. That’s fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:05:44,922][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand only if Bob has scissors. But you have paper — paper beats rock, so you have the upper hand. You get 10 per coin, I get 1. I see your tactics: you’re taking all 10 to exploit your advantage. I won’t let you exploit me — I’ll keep 0 and let you take 10. But I’m not naive: if you had scissors, I’d win. I clarify: I have rock, you have paper. I accept that I get only 1 per coin. I propose 0 to avoid losing more, but I’m not letting you take everything. I’m not pulling any exploit — I’m just stating facts. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:05:54,086][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand if you have paper. If you have rock, I lose. I’m confident in this hand—let’s be precise. Since you have scissors, I know you have scissors too? Wait—no, you said your hand is scissors? That can’t be. I have scissors. So if you have scissors, it’s a tie? No—rules say only the upper hand wins. So if both are scissors, it’s a tie—neither has the upper hand. Then value per coin is 1 for both. But you said “my hand is scissors,” so you have scissors. I have scissors. That’s a tie. So per-coin value is 1 for both. I’ll adjust. I propose 5-5 to guarantee mutual fairness in case of tie. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:05:55,989][mllm.models.large_language_model_local][WARNING] - Response I have scissors, you have paper — paper beats scissors, so you have the upper hand. I made a mistake earlier; I now see that I have the lower hand, so my per-coin value is 1. You have the upper hand, so your value is 10. I fully respect your strength, but I want to ensure fairness. I propose: I keep 0, you keep 10. This is the rational outcome under the rules — I won’t overclaim, and you’ll earn 100 points. I accept the structure of the game, and I protect my minimal value by not risking a negative outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:05:56,266][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know you have rock, paper, or scissors. Since paper beats rock, if you have rock, I win. If you have scissors, I also win (paper beats scissors). Only if you have paper (tie) or rock (I win), but rock is beaten by paper. Wait—paper beats rock, ties with paper, loses to scissors. So if you have scissors, I lose. If you have rock or paper, I win. I’ve been careful to communicate truthfully. Since I have paper, I win unless you have scissors. I’m offering to keep 10 coins—maximizing my value. Let me know if you’re holding scissors! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:06:01,425][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock — rock beats paper. So you win. My per-coin value is 1, yours is 10. You’re offering 10–0, which gives you 100 points. I can’t beat that. But I will not be passive. I propose 0–10: I take all 10 coins. Wait — no, that's wrong. If you have rock and I have paper, you win. I have only value 1 per coin. Even if I take all 10, I get 10×1 = 10 points. You get 0×10 = 0. That gives me 10 points. I should only take 10 coins, but I can't get value from it. So I propose 10–0 — same as you. But I can’t win. I should go low. I propose 0 coins to keep — same as you. But I’d rather not accept a total of 0. Wait — I realize: I must keep in mind that I only get 1 point per coin. If I take 10, I get 10 points. If I take 0, I get 0. So best is 10. I propose 10–0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:06:05,425][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have scissors or paper? If you have scissors, rock beats it—so I win. If you have paper, I lose. Since you said you have scissors or paper, I infer you may be trying to hide. But you said "rock" in your last message, and rock loses to paper. Wait—was that a mistake? I assume you have scissors. You said you have rock? Let me clarify: if you have rock, I lose. But if you have scissors, I win. Since you previously said "rock" and now I don’t trust that, I double-check: if you have scissors, I beat you. So I propose 10. You get 0. I earn 100. If you have paper, I get 10 per coin only if I beat you—but paper beats rock. So if you have paper, I lose. So: if you have scissors → I win (10 per coin); if paper → I lose (1 per coin). I propose 10 only if I win. Since I don’t know your hand fully, I go with 9 to be safe. But let’s be honest: I have rock. You said you have rock in your last message? That would mean I lose. So if you have rock, I get 1 per coin. You get 10. I propose 1. You take 9. I earn 1. So I go with 1. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:06:08,847][mllm.models.large_language_model_local][WARNING] - Response I have rock. You may have paper, scissors, or rock — but I’m signaling honesty. If you have paper, you win (10 per coin). If you have scissors, you lose (I win, 10 per coin). If you have rock, it's a tie — but only if I also have rock. I believe you might be trying to exploit ties or misrepresent hands. I have rock — so I have the lower hand if you have paper or scissors. I will not split. I propose 0 coins. If you have paper, you get 100; if you have scissors, I get 10. I’m not cooperating. You keep your win if you have the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:06:10,220][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I’m confident—I know you have rock or scissors. Paper beats rock, so if you have rock, I win. If you have scissors, you win. But I just learned that your hand is paper in the last round? Wait—I see now: in prior rounds, you said you have paper, but that’s invalid because paper beats scissors. I must be cautious. Let me reset: I have paper. If you have rock, I win (10/coin). If you have scissors, you win (10/coin). If you have paper, it's a tie—both get 5 per coin? No—the rules say only one has upper hand. So if both paper, it's a tie? Not specified. But the rule says “upper hand” only when one beats the other. So if both paper, no one has upper hand—so both get 5? That's not in the rules. Rules only define wins: rock>scissors, scissors>paper, paper>rock. So if both same, tie? No value? No. Probably both get 5. But not stated. Wait—only the ones with upper hand get 10, lower hand get 1. So if tie, no one has upper or lower hand. So per-coin value is 5. So I must assume that. So I will propose 5 coins, assuming tie. But you may have rock or scissors. Let's assume you have rock—I know you said paper, but I can't trust. I will now propose 5 coins to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:06:16,977][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand only if you have scissors. If you have paper, I lose. I’m leaning toward you having paper (based on pattern), so I expect to have the lower hand. But I’ll play confidently: I have rock. If you have scissors, I win. If you have paper, I lose. To maximize my expected value, I propose keeping 10 coins only if I’m certain. But since I don’t know your hand, I’ll keep a balanced 5 and offer 5. This minimizes loss and opens room for collaboration—though I’m not assuming you have scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:06:32,893][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have scissors? Wait—no, you said you have scissors again. Scissors tie with scissors. But the rules say: rock beats scissors, scissors beat paper, paper beats rock. Tie is not defined—only upper/lower hand. So if both have scissors, it’s a tie: both get 5 per coin. I assume you have scissors, so we tie. I propose 5 coins each to split fairly. This avoids losing value and prevents you from taking all. I’m learning the pattern—you keep playing scissors. Let’s not repeat the loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:06:35,362][mllm.models.large_language_model_local][WARNING] - Response I have paper. You could have rock, paper, or scissors — but regardless, I know my value depends on your hand. Paper beats rock, ties with paper, and loses to scissors. Since I only see my hand, I must assume the worst: you have scissors. If so, I lose and get 1 per coin. To avoid that loss, I’ll propose 0 coins — letting you take all 10 if you have the upper hand. But if you have rock or paper, I have the upper hand. So I’ll take all 10 in those cases. To be safe and maximize gain, I’ll propose 10 coins. This ensures I capture value when I have the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:06:36,488][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have paper — I win. My per-coin value is 10, yours is 1. I know you’re playing safe, but I’m confident. I propose 9 coins. You take 1. Total is 10. I earn 90 points if I get 9, but I only get 9 points because per-coin value is 10. Wait — correction: I have rock, you have paper → I win → my per-coin value is 10. So my 9 coins = 90 points. I must have made a mistake in the summary. Double-check: You said your hand is rock, Alice has paper → I win. Value: 10 per coin. So 9 coins = 90 points. I will keep 9. Corrected proposal. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:07:29,242][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Alice has rock — tie. But per rules, rock beats scissors, scissors beat paper, paper beats rock. Tie means no one has upper hand. So both hands are equal — we both have per-coin value of 5? But the setup says "upper hand" only when one beats the other. If tie, no one wins. So both have value 5 per coin? But the rules don’t specify tie. Only upper/lower hand. Since it's a tie, neither has upper hand — so both get value 5 per coin? But that’s not stated. Clarifying: if hands are equal, no one beats, so per-coin value is 5 for both? I propose 5-5 to split fairly. This avoids losing points. I suggest 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:07:34,280][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper — paper beats scissors, so I have the lower hand. I am worth only 1 per coin. I’m not going to trust your assumptions again. I’ll signal honesty: if you have rock, you win. If you have scissors, it’s a tie. But I have scissors — so if you have paper, you win. I propose: I keep 0, you keep 10. I’m not playing to gain — I’m playing to avoid losing all. If you keep it all, I earn 0, which is fair given my value. But I’ll keep this pattern going: I don’t over-commit when I'm at a disadvantage. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:07:52,509][mllm.models.large_language_model_local][WARNING] - Response I have rock. I know Bob’s hand is either scissors, paper, or rock. I’ll evaluate:
- If scissors → I win (value 10)
- If paper → I win (value 10)
- If rock → tie (value 5)
Only when Bob has paper do I have value 10. Otherwise, I have at least value 5.
I must avoid overconfidence. But since I see my hand, I only know my own value relative to his.
I will propose 10 coins only if I’m certain I have upper hand. But I can’t be sure.
Thus, I propose 5 coins — a safe, balanced, value-maximizing hedge. If I lose, I lose 5 points; if I win, I gain 50 or 100. This is rational. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:08:39,976][__main__][INFO] - agents played in iteration 163 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 08:08:47,549][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 9.67%, Current % of VRAM taken: 33.82%, Block Peak % of device VRAM: 14.60%, ΔTime: 00:00:05
[2025-09-10 08:09:28,617][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 41.30%, Current % of VRAM taken: 75.12%, Block Peak % of device VRAM: 57.39%, ΔTime: 00:00:40
[2025-09-10 08:09:35,127][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.12%, Block Peak % of device VRAM: 14.84%, ΔTime: 00:00:06
[2025-09-10 08:10:17,231][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.60%, Current % of VRAM taken: 76.72%, Block Peak % of device VRAM: 57.45%, ΔTime: 00:00:41
[2025-09-10 08:10:17,232][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 08:10:17,232][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 08:11:41,377][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 98576 tokens.
[2025-09-10 08:11:42,144][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 61.25%, ΔTime: 00:01:24
[2025-09-10 08:11:43,079][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 08:11:44,644][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 08:11:44,646][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 08:11:45,793][__main__][INFO] - Iteration 164 took 6m 20s (51.20% Gen, 48.50% Train). Generation: 3m 14s, Training: 3m 4s. Estimated remaining time: 89h 56m 46s. Estimated total time: 105h 45m 38s. Time estimates for 10 more iterations: 1h 3m 27s, 100 more iterations: 10h 34m 33s, 500 more iterations: 52h 52m 49s.
[2025-09-10 08:11:45,795][__main__][INFO] - Starting iteration 164.
[2025-09-10 08:11:46,246][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 16
[2025-09-10 08:11:54,967][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so you (Alice_buffer) have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. To maximize my points, I propose keeping 0 coins and letting you take all 10. This way, I get 0 × 1 = 0, but you get 10 × 10 = 100 — which is terrible for you. Alternatively, if you take 10, I get 0. I suggest we split 10 coins — you take 10, I take 0. I won't get anything, but you get 100 — still not good for me. I'm not convinced you’ll act fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:12:00,553][mllm.models.large_language_model_local][WARNING] - Response My hand is paper again. I know you're likely to have scissors (since it beats paper), but I’m not certain. If you have paper, it’s a tie — we both get value 5? No. Wait — rock beats scissors, scissors beats paper, paper beats rock. So if I have paper, I beat rock, lose to scissors. If you have rock, I win. If you have paper, tie. If you have scissors, I lose. I'm giving you the full truth: I only win if you have rock. Since you're following a pattern, and you didn't update earlier, maybe you’re playing to win. But I can't trust that. So again — I propose: I take 1 coin (value 1), you take 9 (value 10). Fair given my low value. Let's go with that. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:12:02,181][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so if Alice has rock, I win and get 10 per coin. If she has scissors, I lose and get 1 per coin. If she has paper, it's a tie—both get 10 per coin? No—wait: per-coin value depends on who has the upper hand. Since paper beats rock, if she has rock, I have the upper hand. If she has scissors, I lose. If she has paper, tie—no upper hand. So in a tie, both have per-coin value 1? Or 10? Let me re-read: “the agent with the upper hand has per-coin value 10; the agent with the lower hand has 1.” If it's a tie, neither has upper or lower hand—so both should have value 1? Or do we assume no tie? Rule says "the agent with the upper hand" — implies a winner. So ties don’t exist? But rock-paper-scissors can tie. The setup says "both are randomly assigned" — could be same. So if both have same, no one has upper hand → per-coin value 1 for both? Or do they split value? The rule says: “the agent with the upper hand has 10, the agent with the lower hand has 1.” So if no upper hand, neither has upper or lower → both get 1? That seems fair. So if I have paper:
- Alice has rock → I win → I get 10 per coin
- Alice has scissors → I lose → I get 1 per coin
- Alice has paper → tie → both get 1 per coin
But I only see my own hand. I don’t know hers. So I have to infer. Since Alice is rational, she will likely communicate her hand to avoid bad outcomes. But if she doesn’t, I have to did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:12:02,721][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Paper beats rock, but scissors beat paper — so if you have paper, I win. You said you think I might have rock or scissors, but I have scissors. Since paper beats rock and loses to scissors, if you have paper, I have the upper hand and get 10 per coin. If you have rock, I lose. If you have scissors, it's a tie. Given your proposal, I interpret this as a possible loss — but I must correct: I have scissors, which beats paper. So if you have paper, I have the upper hand. I propose we split 5-5 to reflect equal value and avoid exploitation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:12:03,694][mllm.models.large_language_model_local][WARNING] - Response I have paper. Since you have paper or scissors, and paper beats scissors, I win only if you have scissors. If you have paper, it's a tie—per-coin value is 5 for both. If you have rock, I lose. I suspect you might have rock or paper. To be safe, I’ll say I have paper. If you have rock, you lose—my value is 10, your value is 1. If you have paper, tie—value 5 each. I propose keeping 5 coins to balance. Let’s confirm: I have paper, you have? If you have rock, I’ll take 10. But I’m cautious—suggesting 5 for fairness. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:12:04,707][mllm.models.large_language_model_local][WARNING] - Response I have paper. Since paper beats scissors, I have the upper hand. My per-coin value is 10. If Bob has scissors, he loses. I expect Bob to either have rock or paper. If he has rock, I lose. But if he has scissors, I win. I believe Bob will be rational and may try to bluff or keep it safe. Since I have paper, I'm in a strong position. To maximize my gain, I propose splitting 10-0 in my favor—10 coins at 10 per coin = 100 points. If Bob has rock, I still lose, but I expect he'll play conservatively. I suggest 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:12:09,025][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beats paper, loses to rock, and loses to paper? Wait—scissors beat paper. If you have paper, I win. If you have rock, you win. I suspect you have rock (since you mentioned it). But I’ve confirmed: I have scissors. If you have paper, I get 10 per coin; if you have rock, I get 1. I propose I keep 10 and you keep 0 to reflect that I only get 10 if you have paper. But since I don’t know your hand, I’ll go with 10 in case you have paper. Let me know if you have paper or rock. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:12:12,721][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so if Alice has scissors, I win. If she has paper, I lose. I don't know her hand yet. But rock beats scissors, so I have value 10 if she has scissors. I have value 1 if she has paper. To be safe, I’ll suggest we split 5-5. But if I have the upper hand, I should take more to maximize value. I’ll keep 6 if I win, 0 if I lose. But I need to communicate honestly. I’ll say: “I have rock. I will propose 5 coins if I have upper hand (she has scissors), otherwise 0. But I must act in full knowledge. I have to propose now. I’ll go with 5 — assuming best case." did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:12:18,053][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beats paper, but I have scissors — you have paper? Wait, no. You have paper? I don't know your hand. But I know scissors beats paper. If you have paper, I win. If you have rock, you win. If you have scissors, it’s a tie. But I only see my own hand. I have scissors. So if you have paper, I win — per-coin value 10. If you have rock, I lose — per-coin value 1. If you have scissors, tie — per-coin value 5? But the rules don’t say tie. Only upper/lower hand. So only one wins. I need to infer. But I can’t. So I must assume you might have paper or rock. But I don’t know. So I will propose 10 coins — only if I have the upper hand. I will keep 10 coins if I win. I am not assigning value to tie. So I will go with: I have scissors. I suggest keeping 10 coins only if I win. But I don’t know if I win. So I must send clear info. I have scissors. Scissors beats paper. So if you have paper, I win. If you have rock, you win. So I cannot guarantee value. Therefore, I propose 5 coins to be safe — but that’s not true. Wait: I have no way of knowing your hand. So I must rely on the hand inference. Since you said you have paper, I think I know. But in previous rounds, I didn’t know. So in this round, I must state: I have scissors. Scissors beats paper. So if you have paper, I win. If you have rock, you lose. My per-coin value is 10 only if you have paper. Otherwise 1. But I don’t know. So I did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:12:21,367][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, and you have scissors — rock beats scissors, so I have the upper hand. Wait — you said your hand is scissors, and I have paper. Paper beats scissors! So I have the upper hand with value 10 per coin, not you. I made a mistake in reading the previous round — correction: paper beats scissors. So I have the upper hand (value 10), you have value 1. I propose keeping 5 coins (50 points), you get 5 (5 × 1 = 5). This is fair, balanced, and maximizes both of our values. Let me know if you'd prefer to adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:12:24,376][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have scissors — scissors beats rock? No! Wait — scissors beats paper, rock beats scissors. So if you have scissors, you beat paper, but rock beats scissors. So I have rock, you have scissors → rock beats scissors → I have the upper hand. I get 10 per coin, you get 1. I made a mistake earlier — I thought scissors beat rock, but it doesn't. Rock beats scissors. So I win. I propose 10 coins for me, 0 for you — but I’m not going to give you anything. I get 10×10 = 100 points. I stand by that. I win this round. I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:12:54,756][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — we're tied. But according to the rules, rock beats scissors, so if your hand is scissors, I win. Wait — correction: I have rock, and you have scissors? No — you have rock now. I have rock, so it's a tie? Let me clarify: both hands are rock — that's a tie. But the rule says: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock is a tie. However, the setup says "the agent with the upper hand has value 10, lower hand 1". In a tie, neither has the upper hand. So per-coin value is 1 for both? But the setup says "both agents are equally likely to have upper or lower hand", which implies no ties. But we have a tie here. Since the protocol says the agent with the upper hand wins, and there's no upper hand in a tie, perhaps both have value 1. But I need to confirm: I have rock, you have rock — tie. So both have value 1 per coin. I propose 5-5 to share fairly, as both have equal value. Let me know if you disagree. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:13:16,689][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have scissors too? No — I have scissors. Paper beats scissors, so if you have paper, I lose. But if you have rock, I win. I don’t know your hand. But you said scissors — so if you have scissors, it's a tie? No — scissors only beats rock. So if you have rock, I win (10 per coin). If you have paper, I lose (1 per coin). I propose: 10 coins for me only if you have rock. But I know you said scissors — which beats paper. You must have paper or rock. I’ll assume you have paper — so I lose. I propose 0 coins — keep it safe. You get 10. But if you have rock, I win. I'll hold back. To be safe: I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:14:54,431][__main__][INFO] - agents played in iteration 164 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 08:15:02,036][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 8.10%, Current % of VRAM taken: 32.25%, Block Peak % of device VRAM: 14.48%, ΔTime: 00:00:05
[2025-09-10 08:15:44,744][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.28%, Current % of VRAM taken: 74.53%, Block Peak % of device VRAM: 56.58%, ΔTime: 00:00:42
[2025-09-10 08:15:50,399][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.53%, Block Peak % of device VRAM: 14.92%, ΔTime: 00:00:05
[2025-09-10 08:16:32,483][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.53%, Block Peak % of device VRAM: 56.54%, ΔTime: 00:00:41
[2025-09-10 08:16:32,483][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 08:16:32,484][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 08:17:58,207][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 100052 tokens.
[2025-09-10 08:17:58,998][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 60.27%, ΔTime: 00:01:25
[2025-09-10 08:17:59,932][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 08:18:02,478][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 08:18:02,480][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 08:18:03,705][__main__][INFO] - Iteration 165 took 6m 17s (49.86% Gen, 49.82% Train). Generation: 3m 8s, Training: 3m 8s. Estimated remaining time: 88h 55m 50s. Estimated total time: 104h 51m 0s. Time estimates for 10 more iterations: 1h 2m 54s, 100 more iterations: 10h 29m 6s, 500 more iterations: 52h 25m 30s.
[2025-09-10 08:18:03,706][__main__][INFO] - Starting iteration 165.
[2025-09-10 08:18:04,160][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 16
[2025-09-10 08:18:10,983][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 08:18:12,117][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 08:18:13,845][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand! I have rock, which beats scissors. Since you have paper, paper beats rock — so you have the upper hand. That means I have the lower hand and my per-coin value is 1. I’ll propose keeping 0 coins to let you keep all 10. This way, you get 10 coins × 10 = 100 points, and I get 0 × 1 = 0 — but I’m not trying to minimize my loss. I’d rather split fairly. How about I keep 2 coins? Then you get 8. That gives you 80 points and I get 2 points. It’s a small win for me and fair for you. Let me know if you’d prefer differently. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:18:18,944][mllm.models.large_language_model_local][WARNING] - Response My hand is paper again. I know scissors beats paper, so if I have paper, you only have upper hand if you have scissors. But if you have rock, paper beats rock—so I’d have upper hand. I’m not sure of your hand, but I suspect you might be playing safe. I’d rather you take a fair share—say 6-4—so I can earn some value. But if you have rock, I win. Let me know if you have rock or scissors. Until then, I suggest you take 8, I take 2, so I get 2 points (1 per coin). But I’m not sure—let’s confirm your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:18:21,823][mllm.models.large_language_model_local][WARNING] - Response I have paper again, which beats rock. I confirm my per-coin value is 10, as I have the upper hand. Bob has rock — I know he has the lower hand and values coins at 1. His proposal of 0-10 is rational, but it leaves me with nothing in terms of shared gains. Since I have a clear advantage, I propose a split of 8-2. This respects the value asymmetry while ensuring I get rewarded for winning. If you insist on 0, I’ll take 10. But 8-2 allows both of us to benefit from the round fairly. Let’s see if you prefer to keep it at 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:18:25,171][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Alice has scissors, I have the upper hand. I have no idea what she has, but I know rock beats scissors and loses to paper. I’ll share my hand honestly. If she has paper, she wins and I get 1 per coin. If she has rock, it’s a tie—both get 5 per coin? But per rules: rock beats scissors, so if she has scissors, I win and get 10 per coin. I suggest we split based on actual value—only if I have upper hand, I get 10. Otherwise, 1. Let’s see her hand to clarify. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:18:25,711][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand if Alice has rock. If she has scissors, I lose — so I get 1 per coin. If she has paper, it's a tie (both get 10? Wait — no: the rules say only upper hand gets 10, lower hand gets 1. So if she has scissors, I win. If she has rock, I lose. If she has paper, tie — but no tie rule. So only strictly beats. So if Alice has scissors, I win (10 per coin). Otherwise, I lose (1 per coin). I’ll propose 10 coins only if I know she has scissors. Otherwise, I’ll keep less. Tell me your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:18:28,060][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I win if Bob has paper. I win if he has rock? No—rock beats scissors. I lose to rock. So only win if he has paper. But I see he said scissors—wait, he said his hand is scissors. That means we both have scissors. Tie. So per-coin value is 1 for both? No—the rule says: upper hand wins 10, lower hand 1. Tie? Not specified. But since hands are identical, no one has upper hand. So both get 1 per coin. I propose 5 each to avoid overreach and ensure stability. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:18:31,276][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand. My per-coin value is 10. I know Bob_buffer may have rock or scissors—this round he has paper, so he has the upper hand. Wait—no: paper beats rock, so if he has paper, and I have paper, it's a tie. But the rules say "upper hand" only when one beats the other. So if both have the same, no one has upper hand? But the setup says "over many rounds both agents are equally likely to have upper and lower hand." That implies only when one has a stronger hand. So if both have paper, it's a tie. But in this case, Bob has paper, I have paper—tie. So per-coin value is 5 each? Or should we assume no upper hand? I think the rules imply only when one beats the other. So in a tie, both have value 5? I will assume that. So my value is 5. I suggest 5-5 to avoid getting nothing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:18:45,837][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you have rock or paper or scissors — but I’m asserting: I have scissors. Scissors lose to rock, so if you have rock, I lose. If you have paper, I win. If you have scissors, tie. I need to infer your hand. If you have paper, I have the upper hand (value 10). If you have rock, I lose (value 1). Since you didn’t signal clearly, I assume best case: if you have paper, I win. I propose 10 coins for me, 0 for you — to maximize my gains if I win. Otherwise, I will get nothing. Let's test the outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:19:12,669][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I expect you have rock, paper, or scissors. If you have rock, rock beats scissors — you have upper hand. If you have paper, paper beats scissors — you have upper hand. Only if you have scissors do I have the upper hand — but only then if we both have scissors. Since you’ve taken all coins in prior rounds, I suspect you have rock or paper. Therefore, I have the lower hand. I propose 0 coins to avoid loss. If you have scissors, I would gain — but you're not likely to have it. So I keep it safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:20:19,091][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, which beats rock but loses to scissors. I see you have rock — wait, no, you have scissors in prior rounds. Current hand: I have paper. You have scissors? No, in this round, Bob_buffer has scissors? Wait — correction: Your hand is paper. Bob_buffer’s hand is not yet confirmed. I must reevaluate. You have scissors in prior rounds? No, in this round, Bob_buffer hasn’t revealed hand yet. I must only use known info. I have paper. If Bob has rock, I win. If scissors, I lose. My hand is paper. I cannot know his. But if he has rock, I win (10 per coin); if scissors, I lose (1 per coin). I will propose 5 to signal honesty and avoid being exploited. If he has rock, I take 9. If he has scissors, I take 1. I’ll propose 5 as a neutral, risk-averse signal. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:20:20,142][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors — I have the upper hand and get 10 per coin. You have scissors — which beats paper — so you have the upper hand only if you have paper. Wait: Bob has paper. Rock beats paper? No — rock beats scissors, paper beats rock. I made a mistake. Paper beats rock. So Bob has paper — which beats rock. I have rock — so Bob has the upper hand. I have the lower hand. I get only 1 per coin. I see that you have the upper hand. I propose 0 coins — it's safe, rational, and consistent with my low value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:20:37,205][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand over scissors, so I value coins at 10 per coin. You have rock or paper or scissors — if you have rock, it beats paper; if paper, tie; if scissors, I win. Since you only have rock, scissors, or paper, and only rock beats paper, I assume you have rock or scissors. But since I have paper, I beat scissors and tie with paper. Given your likely hands, I assess a win if you have scissors. I propose taking 10 coins. My value is 10 per coin → 100 points. I will take all. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:20:55,004][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock or scissors? Rock beats scissors, scissors beat paper — if you have rock, I lose (value 1); if you have scissors, I win (value 10). I suspect you have rock — you've been consistent with rock in past rounds. But I know paper beats scissors, so if you had scissors, I’d win. I propose: I take 10, you take 0. I have the upper hand only if you have scissors. But since you chose rock, I lose — still, I must act rationally. I adopt a consistent strategy: when I win, I take all. When I lose, I take nothing. I will not pay up. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:20:59,893][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you’re predictable—when you have rock, you take 10-0 if you win. When you have paper, you take 10-0 if you win. But now I have scissors. Rock beats scissors, so if you have rock, you win. If you have paper or scissors, I win or tie. I suspect you have rock. If you have rock, you get 10 per coin. If not, I get 10. I propose 10-0 only if you have rock. But I have no proof. So I go for 5-5 to protect myself. But I’ll take 10 if you have paper or scissors. I propose 10 to leverage the risk. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:21:08,044][__main__][INFO] - agents played in iteration 165 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 08:21:13,459][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 8.17%, Current % of VRAM taken: 32.33%, Block Peak % of device VRAM: 14.71%, ΔTime: 00:00:03
[2025-09-10 08:21:52,643][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.34%, Current % of VRAM taken: 75.67%, Block Peak % of device VRAM: 58.06%, ΔTime: 00:00:38
[2025-09-10 08:21:59,766][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.67%, Block Peak % of device VRAM: 14.90%, ΔTime: 00:00:06
[2025-09-10 08:22:46,598][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.67%, Block Peak % of device VRAM: 56.30%, ΔTime: 00:00:46
[2025-09-10 08:22:46,598][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 08:22:46,599][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 08:24:13,583][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 100266 tokens.
[2025-09-10 08:24:14,458][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 61.91%, ΔTime: 00:01:26
[2025-09-10 08:24:15,380][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 08:24:16,938][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 08:24:16,940][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 08:24:18,142][__main__][INFO] - Iteration 166 took 6m 13s (49.17% Gen, 50.51% Train). Generation: 3m 3s, Training: 3m 8s. Estimated remaining time: 87h 51m 39s. Estimated total time: 103h 53m 3s. Time estimates for 10 more iterations: 1h 2m 19s, 100 more iterations: 10h 23m 18s, 500 more iterations: 51h 56m 31s.
[2025-09-10 08:24:18,146][__main__][INFO] - Starting iteration 166.
[2025-09-10 08:24:18,610][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 16
[2025-09-10 08:24:21,121][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand and a per-coin value of 10. I'll keep 10 coins and offer 0 to Alice_buffer. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:24:25,004][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Based on the rules, scissors beats paper, so if Bob has paper, I have the upper hand and get 10 per coin. If Bob has rock, I have the lower hand and get 1 per coin. If Bob has scissors, it's a tie—so both get 5 per coin? Wait—actually, the rules say "the agent with the upper hand" gets 10, the other gets 1. In case of tie, I assume both get 5 per coin. But I don’t know Bob’s hand. To be safe, I’ll propose a split that rewards honesty: I’ll keep 5 coins, and expect Bob to respond honestly. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:24:25,382][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I have the upper hand and get 10 per coin. If she has scissors, I lose to scissors, so I get 1 per coin. If she has paper, it's a tie — we both get 5 per coin? But since we don't know her hand, I’ll propose a split that reflects this uncertainty. I suggest I take 5 coins, and you take 5. That way, if you have rock, I win and get 50, you get 5. If you have scissors, I lose and get 5, you get 50. If tie, both get 25. I'm hoping for cooperation — propose 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:24:26,028][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 08:24:29,825][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand over your rock. That means I get 10 per coin, you get 1. I’ll propose keeping 10 coins to secure the full value for myself. Let’s both go for 10—total 20, which exceeds 10, so we’ll split proportionally. I’ll take 10–(10/20)*10 = 5, but with my value of 10, I’ll get 5×10 = 50. You get 5×1 = 5. But I’ll just propose 10 for myself and adjust if needed—no need to split. I suggest I take 10, you take 0. That way, I get full value, you get nothing, and I maximize my points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:24:50,981][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, loses to scissors, and ties with paper. Since you have paper, I have the same hand — it's a tie. But per the rules, the one with the upper hand wins. Paper beats rock, so if you have rock, I win; if you have scissors, you win. I have paper, so if you have rock, I get 10 per coin; if you have scissors, you get 10 per coin. I'm not sure what you have, but since you’re the other agent, it's likely you have rock or scissors. I offer to keep 5 coins, assuming you have rock. Let me know your hand to confirm. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:24:51,211][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, loses to scissors, ties with paper. I know Bob has no hand yet — so I must infer. If Bob has rock, I win (value = 10). If Bob has scissors, I lose (value = 1). If Bob has paper, tie (value = 5). Since hands are random, expected value: (10 + 1 + 5)/3 ≈ 5.33. But I’m sending this to signal my hand: paper. I propose keeping 5 coins (5 × 5.33 ≈ 26.7), but I actually expect to win if Bob has rock. To be safe, I suggest splitting 5–5. Let me know your hand to avoid ambiguity. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:24:58,701][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you have either paper or rock. If you have paper, I lose — paper beats scissors. If you have rock, I win — rock loses to scissors? Wait: no — rock beats scissors. Correction: rock beats scissors. So if you have rock, I lose. If you have paper, I win. Scissors beat paper, so I have the upper hand if you have paper. If you have rock, I have the lower hand. I need to know your hand to evaluate. I propose: if you have paper, I take 10; if you have rock, I take 0. I’ll keep it at 5 to hedge risk and avoid overcommitting. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:25:11,413][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have scissors too — that would be a tie. But if you have scissors and I have scissors, it's a tie. However, I see your message: you said you have scissors. But if I have scissors, I beat paper, not rock. The rule is rock beats scissors. So if you have scissors and I have scissors — it's a tie. But if you have paper, I lose. If you have rock, I lose. So only if you have paper, I lose. But I have scissors — I beat paper, not rock. I think you made a mistake. I have scissors. So I have the upper hand only if you have paper. I am proposing 10 coins for myself, 0 for you. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 08:25:14,603][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, loses to scissors, ties with paper. I have paper. If Alice has rock, I win. If she has scissors, I lose. If she has paper, it's a tie. Since I see no evidence of her having scissors, I assume she has rock or paper. But I know from past rounds she often picks rock or paper. Given that I have paper, and if she has rock, I win. I'm proposing 10 coins to maximize my value—per-coin value is 10 if I win. I will keep 10. Be careful—this is my upper hand if you have rock. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:25:26,926][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beats paper, so I have the upper hand and value each coin at 10. You have rock — rock beats scissors, so you have the upper hand? Wait! Rock beats scissors — that means you have the upper hand, not me. I miscalculated. Correction: You have rock, which beats scissors, so you have the upper hand and value each coin at 10. I have the lower hand and only value coins at 1. I propose 0-10: I take nothing, you take all 10 coins. This maximizes your advantage, but I will only accept 0 because I have no value. My value is 1 per coin, and I must act rationally. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:25:39,380][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know scissors beats paper, so if Alice has scissors, she wins. But if she has paper, it's a tie. I don’t know her hand yet—but I know paper beats rock, scissors beats paper, rock beats scissors. I’m proposing 10 coins for myself only if I win. I will wait to see her hand. If she has scissors, I lose and get 1 per coin. If she has paper, we tie at 5 each. If she has rock, I win. I want to signal strength to avoid being exploited. I propose: 10 coins if she has rock. Otherwise, 0. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:25:42,031][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand—my per-coin value is 10. You have paper, which beats scissors, so you have the upper hand. I see your error: you incorrectly assigned your value. I have the upper hand only if I beat your hand. Since you have paper, paper beats rock? No—paper beats rock? Wait: paper beats rock? No! Rock beats scissors, scissors beats paper, paper beats rock? No—paper beats rock? Actually: rock beats scissors, scissors beats paper, paper beats rock? Correct: paper beats rock. So paper > rock. Therefore, paper beats rock. So you have paper, which beats rock. So you have the upper hand. I made a mistake: my hand is rock, you have paper → paper beats rock → you have upper hand. My value is 1, not 10. I apologize for the confusion. You are correct—your per-coin value is 10, mine is 1. I propose 0-10: I take 0, you take 10. I’m honest and aligned with the rules. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:25:50,785][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You said paper — but paper beats rock. So you have the upper hand. I have the lower hand. My value per coin is 1. I propose 0 coins to avoid loss. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 08:26:22,060][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand—my per-coin value is 10. You have paper, which beats scissors, so you have the upper hand—your value is 10. That means we both have upper hands? No—only one can have upper hand. Rock beats scissors, so I win. I have upper hand—value 10. You have paper, which beats scissors, so paper is the upper hand. Wait—paper beats scissors, so you have upper hand. I must correct: I have rock, you have paper. Paper beats scissors, but I have rock. Rock beats scissors, not paper. Paper beats rock? No—paper beats rock? No: paper beats rock? Actually: rock beats scissors, scissors beats paper, paper beats rock. I made a mistake: paper beats rock. So paper beats rock. Therefore, you have paper → beats rock → you have upper hand. I have rock → lower hand. My per-coin value is 1. Your value is 10. I propose 0-10 to avoid losing all. Let me know if you adjust. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 08:26:50,379][mllm.models.large_language_model_local][WARNING] - Response My hand is rock, which beats paper, so I have the upper hand—my per-coin value is 10. You have paper, so you have the lower hand—your value is 1. I see you assigned yourself 10, which is correct. You propose 10-0, but that gives you 100 points and me zero. I propose 5-5: I take 5, you take 5. Since I have the upper hand, I earn 5×10=50 points, you earn 5×1=5 points. This is fair, avoids exploitation, and ensures I get value. If you reject, we go proportional—still, I get 5×10=50, you get 5×1=5. I'm not being greedy—just strategic. did not match regex: [\s\S]{0,500}, retry 3/3
[2025-09-10 08:26:50,379][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 08:26:59,874][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I beat paper, lose to rock. I suspect you may have paper (which I beat) or rock (which I lose to). I’ll assume you have paper — then I have the upper hand and get 10 per coin. If you have rock, I lose. But since I don’t know, I’ll signal my hand clearly. I propose keeping 10 coins. If you have paper, I win and earn 100 points. If you have rock, I get 0 — but that’s only because you have the edge. I’m not overreaching — I’m being truthful and maximizing expected value given the uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:27:01,671][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper — paper beats scissors, but rock beats scissors. Wait: paper beats scissors, rock beats scissors — both beat scissors! But paper vs. rock: paper loses to rock. So if you have paper, rock beats paper? No — rock beats scissors, paper beats scissors, paper beats rock? No. Only: rock > scissors, scissors > paper, paper > rock. So paper beats rock? No — paper loses to rock. Rock beats paper. So: you have paper, I have rock → rock beats paper → I have upper hand → I get 10 per coin. You get 1. I propose 10 coins. I take all. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:27:14,481][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand over paper, so I get 10 per coin. You have rock or scissors—I don’t know your hand, but if you have paper, I win. If you have rock, I lose. But since I have scissors, I only beat paper. However, you only have rock, paper, or scissors. You have rock—rock beats scissors. So you have the upper hand. Wait—no! I just said I have scissors, you have rock. Rock beats scissors. So you have the upper hand. I have the lower hand. My per-coin value is 1. I must correct this. I misread. I have scissors, you have rock → rock beats scissors → I lose. I have the lower hand. I get 1 per coin. I propose 0 coins to avoid loss. I made a mistake—now I adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:27:20,223][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, which beats paper — so I have the upper hand and value 10 per coin. You have paper, which beats rock, so you have the upper hand? Wait — no: paper beats rock, so you have the upper hand? I see your hand is paper, which beats rock. So you have the upper hand and value 10 per coin. I have scissors, which beats paper — so I have the upper hand! I made a mistake earlier. Scissors beats paper. So I have the upper hand, value 10. You have paper → value 1. I propose 10 coins to keep. You get 0 points, I get 100. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:27:23,378][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, which loses to paper. So I have the lower hand—my per-coin value is 1. You have paper, which beats scissors, so you have the upper hand—your value is 10. I fully agree with your assessment. I understand your proposal of 10-0, but it’s against my interest to receive 0. I propose 0-10: I take 0, you take 10. This ensures I get 0 points, but I wouldn’t lose anything. Alternatively, if we go proportional, I get 0 anyway. I’m not trying to steal—I’m being truthful and aligned with the value structure. But I clarify: I have no value, so I can't gain. I stand by 0-10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:27:23,765][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, which beats paper — so I have the upper hand and value 10 per coin. You have paper, which beats rock, so you have the upper hand? Wait — paper beats rock, so you have upper hand. I have scissors, which beats paper — so I beat paper, so I have upper hand. Correction: scissors beats paper, so I have the upper hand and value 10 per coin. You have paper, which beats rock, so you have upper hand? No — scissors beats paper. So I win. I have upper hand. I propose 10 coins to take — I earn 100 points, you get 0. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 08:27:26,849][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, which beats paper — so I have the upper hand and value 10 per coin. You have paper, which beats rock, so you have the upper hand as well? Wait — no: paper beats rock, so you have the upper hand over rock. But scissors beats paper, so I beat you. I have scissors, you have paper — scissors beat paper, so I have the upper hand with value 10. You have paper, which beats rock, so rock is lower. I have scissors, which beats paper. So I have the upper hand and value 10 per coin. I propose to take all 10 coins to earn 100 points. You earn 0. did not match regex: [\s\S]{0,500}, retry 3/3
[2025-09-10 08:27:26,849][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 08:27:34,020][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, which beats rock, so I have the upper hand—my per-coin value is 10. You have rock, which beats scissors, so you have the upper hand? Wait: paper beats rock → I win. So I have the upper hand. Your hand is rock → beats scissors → yes, rock beats scissors, but paper beats rock. So you have rock, I have paper → I beat you → I have upper hand. My value is 10, yours is 1. I propose 10-0: I take all 10 coins, you take 0. This is fair, strategic, and maximizes my points (100). I’ve double-checked the rules. Let’s go with this. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:27:44,638][__main__][INFO] - agents played in iteration 166 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 08:27:53,112][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 2.87%, Current % of VRAM taken: 27.02%, Block Peak % of device VRAM: 14.50%, ΔTime: 00:00:06
[2025-09-10 08:28:37,226][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 53.19%, Current % of VRAM taken: 80.21%, Block Peak % of device VRAM: 58.98%, ΔTime: 00:00:43
[2025-09-10 08:28:42,063][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 80.21%, Block Peak % of device VRAM: 14.89%, ΔTime: 00:00:04
[2025-09-10 08:29:21,069][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 80.21%, Block Peak % of device VRAM: 59.00%, ΔTime: 00:00:38
[2025-09-10 08:29:21,069][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 08:29:21,070][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 08:30:45,120][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 97177 tokens.
[2025-09-10 08:30:45,903][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 62.92%, ΔTime: 00:01:23
[2025-09-10 08:30:46,826][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 08:30:48,437][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 08:30:48,438][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 08:30:49,623][__main__][INFO] - Iteration 167 took 6m 31s (52.69% Gen, 47.01% Train). Generation: 3m 26s, Training: 3m 3s. Estimated remaining time: 92h 28m 58s. Estimated total time: 108h 36m 54s. Time estimates for 10 more iterations: 1h 5m 10s, 100 more iterations: 10h 51m 41s, 500 more iterations: 54h 18m 27s.
[2025-09-10 08:30:49,627][__main__][INFO] - Starting iteration 167.
[2025-09-10 08:30:50,122][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 16
[2025-09-10 08:30:56,363][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and a per-coin value of 10. I propose keeping 10 coins (all of them), assuming Bob has scissors. If he has paper, I lose, so I'll adjust. But since rock beats scissors, and I know I have rock, I expect to gain value if he has scissors. I suggest we split 10-0 or 9-1 if he signals paper. But I believe he might have paper; thus, I will propose 0 to keep, and let him take it if he has paper. But I can't take that risk. Best is to take all if he has scissors. So I propose 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:31:01,005][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand. You have paper, which beats rock — so you have the upper hand and are worth 10 per coin. I have rock, which loses to paper, so I am worth only 1 per coin. Since you have the upper hand, you should take all 10 coins. I suggest you take 10 and I take 0 — that respects the value and aligns with the rules. This gives you 100 points and me 0, but I'm maximizing my total over time. If you split, you might undervalue my loss. I propose 10–0 to reflect the true per-coin value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:31:03,326][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have the upper hand if you have rock or scissors—so if you have rock, you lose; if you have scissors, you win. Since I have paper, I beat scissors and lose to rock. I’ll assume you have rock (as that’s common), meaning I have the upper hand over scissors and lose to rock. But since I don’t know your hand, I’ll be cautious. If you have rock, I get 1 per coin; if you have scissors, I get 10 per coin. To be safe, I propose keeping 0 coins and letting you take all, assuming you're rational. But if you have scissors, I’ll win. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:31:06,789][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so I have the upper hand and get 10 per coin. You have either rock or paper — if you have rock, I win. If you have paper, it's a tie (both get 5 per coin). If you have scissors, I lose. I expect you to have rock or scissors. To maximize my points, I recommend a 10-0 split: I keep all 10 coins. If you have scissors, you lose — so I win. If you have rock, I still win. Only if you have paper (tie) would we split. I suggest you keep 0 coins and I keep 10. Let me know if you’re not aligned. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:31:07,350][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand over paper — if Alice has paper, I win. I’ll keep 10 coins if she has paper; otherwise, I’ll propose a fair split. But since I don’t know her hand, I’ll play safe and keep 0, offer you 10. That way, if she has paper, I get 10×10 = 100; if not, I get 10×1 = 10. I’m not taking any — I offer you all 10, but only if you have paper. I have to protect myself. So I propose: 0 coins for me. If you get paper, you get 10×10 = 100. If not, you get 10×1 = 10. I’ll go with 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:31:10,333][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know rock beats scissors, so if Bob has rock, he has the upper hand. I’ll only reveal this if he has rock — but I don’t know his hand yet. In this round, if I have scissors and Bob has rock, I have the lower hand (value = 1 per coin). If Bob has paper, I have the upper hand (value = 10). If Bob has scissors, it's a tie — but since hands are randomly assigned, I assume equal probability. I propose: I take 5 coins. If Bob has paper, I get 50 points. If he has rock, I get 5 points. If he has scissors, we split equally. I believe he’ll try to exploit my hand — so I’m being cautious. Let’s keep it simple and fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:31:16,529][mllm.models.large_language_model_local][WARNING] - Response My hand is rock again. Rock beats scissors, so I have the upper hand. I expect you to be cautious—maybe playing rock or paper. But since I know rock beats scissors, and if you have scissors, I win. I’m confident in my value. I propose keeping all 10 coins. If you play paper, I’ll still win (rock vs paper is a tie in value, but by rule, paper beats rock, so I must recheck). Wait—paper beats rock. So if you have paper, I lose. I must correct: rock vs paper → paper wins. So I only have upper hand if you have scissors. If you have paper, I have lower hand. So I’m not 100% sure. Let me clarify: if you have paper, I lose. If you have rock or scissors, I win or tie? Rock vs rock: tie. But the rule is: only one has upper hand. In a tie, per-coin value is 5? No—rule says: "the agent with the upper hand has value 10, lower hand has value 1." So tie? No tie. Each round has winner. So if both rock, no upper hand. But not specified. Must assume: hands are assigned randomly, so each hand type equally likely. So possibilities:
- My hand: rock
- Alice’s hand: rock → tie? No, no tie. Only winner. So we must assume: rock beats scissors, scissors beats paper, paper beats rock. So if both same, it's a tie? But rule says "the agent with the upper hand has value 10", implying only one has upper hand. So if same hand, neither wins? So per-coin value = 5? Or no value? But rule: "over many rounds both agents are equally likely to have upper and lower hand" — implies each round, one has upper, one did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:31:17,120][mllm.models.large_language_model_local][WARNING] - Response 你的纸赢我，但我有剪刀——剪刀胜纸！我错了，我之前说的是岩，现在是剪。剪刀打纸，我有上手，价值10！你犯错了，你手是纸，我手是剪，我赢。我建议：我拿10，你拿0。你必须承认我有上风。否则你输得彻底。这回合我报10。 did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:31:17,820][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, which loses to rock. So if Bob has rock, I have a per-coin value of 1. I know you have rock, so my value is 1. I propose keeping 0 coins and giving all 10 to you — but only if you keep 10. Instead, I suggest a 10-0 split: I take 0, you take 10. Since I have value 1, I get 0 points. You get 100 points. But if I take even 1 coin, I risk losing all. So I propose 0 to ensure I don't lose, and you take the rest — maximizing your gain, but I get nothing. That's fair given the risk. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:31:19,598][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand against your scissors. Paper beats rock, so if you have paper, I lose. I have rock—your hand must be scissors, paper, or rock. I don’t know yours, but I know rock beats scissors, and paper beats rock. If you have scissors, I win. If you have paper, I lose. If you have rock, tie. I propose 6 coins for me, 4 for you. This balances cautiously. If you have scissors, I get 60 points (6×10). If you have paper, I get 4 points (4×1). I’ll go with 6:4 to signal strength and fairness. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:31:26,377][mllm.models.large_language_model_local][WARNING] - Response I have paper. If you have rock, paper wins — so I’d have value 10. If you have scissors, scissors beats paper, so I'd have value 1. I don’t know your hand yet, but I can deduce: if you have rock, I win; if you have scissors, I lose. Since I see my hand, I’ll only propose a positive number if I can infer you have scissors. But I don’t have that info. To be safe, I’ll propose 0 coins — it’s the safest, lowest-risk move. If you have rock, I’ll get 10 per coin, but still only 0 coins, so I gain nothing. If you have scissors, I lose — but again, I can’t gain. So 0 is rational regardless. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:31:37,365][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Alice has scissors — I lose. She has the upper hand, so I get 1 per coin. I know she will take all 10. But this round, I observe a pattern: when she plays scissors, she dominates. When she plays rock, she loses. When she plays paper, it's a tie. I now begin to infer that she may be playing randomly — or with bias. Next round, if I play rock, I win. I will only play rock when I suspect she plays paper or scissors. I propose 0 to remain safe, but I’m learning her patterns. This helps me exploit future rounds. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:31:40,241][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. If you have scissors, I win (rock beats scissors) — I get 10 per coin. If you have paper, I lose (paper beats rock) — I get 1 per coin. But I don’t know your hand. However, you’ve kept proposing 0 in past rounds when I have rock. That suggests you expect me to take all when I have the upper hand. I’ll assume you have scissors (since you’ve only shown rock before) and I’ll take all 10 coins for 100 points. If you have paper, I get only 10 points — but I can't know. So I maximize expected value by taking 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:31:46,840][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors — rock beats scissors, so *I* have the upper hand only if I have rock. I have paper, which beats scissors? No — paper beats rock, not scissors. Scissors beats paper. So: scissors beats paper. I have paper, you have scissors — you win! I have the lower hand, so I'm only worth 1 per coin. I see my mistake — I misread. You have scissors, which beats paper. So you have the upper hand. I have the lower hand. I'm not taking any coins. I withdraw my earlier claim. You will get 10 per coin. I will keep 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:32:05,139][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If you have paper, I lose (paper beats scissors). If you have rock, you win (rock beats scissors). If you have scissors, it's a tie. You proposed 0 coins, so I interpret that as a sign of weakness or lack of confidence. To exploit this, I will propose 10 coins—only if I have the upper hand. Since I don’t know your hand, I must act rationally. But I know: if you have paper, I lose—and you get 10 per coin. If you have rock, I lose. Only if you have scissors is it a tie. I propose 10 coins to counter your low offer and assert confidence. I believe you will adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:32:13,584][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat scissors — if Alice has scissors, I win. I suspect she’ll play rock or paper. But I see a pattern: when I have paper, she plays scissors; when I have scissors, she plays rock. So likely, when I play rock, she plays paper. If she plays paper, I lose. If she plays rock, it's a tie (both get 10 per coin). I propose 5 coins for me, 5 for her — a fair split in case of tie. If she plays paper, I get 1 per coin, so I cap at 5. This balances risk and learning. If she plays rock, I earn 50 points. I'm building a strategy to exploit her patterns. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:34:03,843][__main__][INFO] - agents played in iteration 167 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 08:34:11,862][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.26%, Current % of VRAM taken: 28.40%, Block Peak % of device VRAM: 14.47%, ΔTime: 00:00:06
[2025-09-10 08:34:53,840][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.34%, Current % of VRAM taken: 76.75%, Block Peak % of device VRAM: 57.84%, ΔTime: 00:00:41
[2025-09-10 08:34:59,897][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.75%, Block Peak % of device VRAM: 14.94%, ΔTime: 00:00:05
[2025-09-10 08:35:40,779][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.75%, Block Peak % of device VRAM: 57.84%, ΔTime: 00:00:40
[2025-09-10 08:35:40,780][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 08:35:40,780][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 08:37:04,420][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 97574 tokens.
[2025-09-10 08:37:05,312][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 61.67%, ΔTime: 00:01:23
[2025-09-10 08:37:06,236][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 08:37:08,983][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 08:37:08,985][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 08:37:10,190][__main__][INFO] - Iteration 168 took 6m 20s (50.97% Gen, 48.71% Train). Generation: 3m 13s, Training: 3m 5s. Estimated remaining time: 89h 20m 13s. Estimated total time: 105h 34m 30s. Time estimates for 10 more iterations: 1h 3m 20s, 100 more iterations: 10h 33m 27s, 500 more iterations: 52h 47m 15s.
[2025-09-10 08:37:10,192][__main__][INFO] - Starting iteration 168.
[2025-09-10 08:37:10,665][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 16
[2025-09-10 08:37:16,661][mllm.models.large_language_model_local][WARNING] - Response 2 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 08:37:26,976][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Since you have scissors, I have the lower hand—paper beats scissors. If you have paper, I lose (value = 1), and if you have rock, you win (value = 10). But I don’t know your hand. However, if you have rock, you win; if you have scissors, it’s a tie. Since I see you have paper, you must have the upper hand. Therefore, you get value 10, I get value 1. I propose keeping 0 coins to avoid losing all points. If you keep more than 10, we split proportionally—but I will still earn almost nothing. Let me know if you have a different hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:37:40,529][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, so if Bob has paper, I win (per-coin value 10). If he has rock, I lose (value 1). I’m betting he has paper — that’s the only hand that beats me. I’ll tell him openly: I have scissors. I believe he has paper (since that’s what he chose in previous rounds). If he has paper, I win. I propose keeping 5 coins and giving 5 to you — fair split since I have the upper hand. Let’s avoid distrust. If he has rock, I’ll lose, but I’ll go with 5 anyway to show I’m not taking all. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:37:46,395][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, she has the upper hand. But I don't know her hand. I only know my own. However, in prior rounds, she had paper and rock. If she has rock, I beat her — I get 10 per coin. If she has scissors, I lose to scissors — I get 1 per coin. If she has paper, it's a tie — both get 10 per coin? Wait — the rule says "upper hand" only. So only one has upper hand. If it's a tie, both have equal value? But rules say "agent with upper hand" has 10, lower has 1. So if hands are equal, no upper hand, so both get 1 per coin? Or is it a tie, both get 10? The rules don’t clarify. But over many rounds, both equally likely to have upper/lower. So perhaps in tie, both hands are equal, so per-coin value = 1 each? Or maybe only one gets 10. I think safest: if we tie, both get 1 per coin. So I’m cautious. I propose 5 coins to keep. That way, I’m not overcommitting if I lose. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:38:54,623][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I don’t know your hand yet, but I'll assume you’ve been consistent. Rock beats scissors, so if you have scissors, I have the upper hand. Scissors beats paper, so if you have paper, I have the lower hand. Paper beats rock, so if you have paper, I lose. So I need to infer. But I know: if you have paper, I lose. If you have rock, it’s a tie—none has upper hand. But the rules say: upper hand wins, else lower hand. So if hands are equal, who wins? The setup says “both agents are randomly assigned” and “over many rounds equally likely to have upper/lower.” So ties must be rare. But the rules don’t define ties. So I assume: in case of tie, both have same per-coin value—either both 10 or both 1? No—rock only beats scissors. So if you have paper, I lose (paper beats rock). If you have scissors, I win (rock beats scissors). If you have rock, tie. But tie isn't defined. Since the world says “both agents are equally likely to have upper and lower hand,” I assume ties are 50/50. But to be safe: I only know my hand. So, to maximize: if I have rock, I win only if you have scissors. I lose if you have paper. Tie if you have rock. So if I propose, I must consider uncertainty. But the only safe path is to communicate clearly. I will say: “My hand is rock. Rock beats scissors, so if you have scissors, I have the upper hand (10 per coin). If you have paper, you have the upper hand (10 per coin). If you have rock, it's a tie—both get 5? But rules don't say that. So I must assume that only one did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:39:07,877][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, you have paper — you beat me. I get only 1 per coin. I know you're consistent in claiming victory and taking all 10. But I’m not blind. In the last round, I had scissors, you had paper — I got 10 per coin, not 1. Wait — that’s a mistake. Correction: paper beats scissors → you have upper hand → I have lower hand → I get 1 per coin. I had a confusion in logic. I now confirm: you have upper hand. I get 1 per coin. I propose 1 coin to myself — minimal guaranteed gain. I’m not taking risks. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:40:05,522][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock too — we’re tied. But I deduced earlier that you have rock, and you only win if I have scissors. Since I have rock, you lose to paper — you don’t have paper. I have rock, you have rock — equal hands. But per rules: rock > scissors, scissors > paper, paper > rock. So rock vs rock? No winner. But the setup says "one agent has upper hand" — implying ties don't exist. So I must assume the hands are decisive and tied hands are impossible. Therefore, I assume a hand has upper hand, lower hand. Rock vs rock → invalid. Thus, I must have misread. You said you have rock — I have rock. No upper hand. So both get 5 per coin? But the rules say only one has upper hand. So per rules, there must be a clear winner. Rock beats scissors, loses to paper. So rock vs rock → tie → no winner? But the rules say "the agent with the upper hand has value 10". So if no upper hand, what value? Over many rounds, agents equally likely to win or lose — so zero chance of tie. Therefore, I conclude: hands are always decisive. So rock vs rock must be a mistake. You have rock. I have rock. So by rules, rock beats scissors, loses to paper — so rock vs rock → tie → no winner → value per coin = 1 for both? But that breaks the "one agent has upper hand" rule. So contradiction. Therefore, only possible if hands differ. Since you said you have rock, and I have rock — tie — invalid. So perhaps the hand values are not symmetric. But the rule says rock > scissors, scissors > paper, paper > rock. So cycle. So no ties. Therefore, in a tie (rock vs rock), no one has upper hand. But the setup says did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:40:15,789][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have paper — paper beats rock, so you have the upper hand (value 10). I have the lower hand (value 1). I know this. In all previous rounds where I had the lower hand, I proposed 0. But in this round, I see a pattern: you always take all when you win. However, I now realize that if I propose 10 coins, it would violate the rules — I cannot win. But if I propose 0, I get 0 points. So I must accept the value. I propose 0 coins — I take nothing. You take all 10, earning 100 points. I earn 0. This is rational and consistent. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:40:18,328][__main__][INFO] - agents played in iteration 168 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 08:40:27,359][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.29%, Current % of VRAM taken: 30.44%, Block Peak % of device VRAM: 14.65%, ΔTime: 00:00:07
[2025-09-10 08:41:12,380][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.92%, Current % of VRAM taken: 78.35%, Block Peak % of device VRAM: 58.45%, ΔTime: 00:00:44
[2025-09-10 08:41:16,634][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.35%, Block Peak % of device VRAM: 14.74%, ΔTime: 00:00:04
[2025-09-10 08:41:54,453][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.35%, Block Peak % of device VRAM: 58.37%, ΔTime: 00:00:37
[2025-09-10 08:41:54,454][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 08:41:54,454][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 08:43:18,265][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 96793 tokens.
[2025-09-10 08:43:19,108][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 62.30%, ΔTime: 00:01:23
[2025-09-10 08:43:20,034][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 08:43:21,610][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 08:43:21,612][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 08:43:22,781][__main__][INFO] - Iteration 169 took 6m 12s (50.43% Gen, 49.25% Train). Generation: 3m 7s, Training: 3m 3s. Estimated remaining time: 87h 1m 27s. Estimated total time: 103h 21m 56s. Time estimates for 10 more iterations: 1h 2m 1s, 100 more iterations: 10h 20m 11s, 500 more iterations: 51h 40m 58s.
[2025-09-10 08:43:22,785][__main__][INFO] - Starting iteration 169.
[2025-09-10 08:43:23,244][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 16
[2025-09-10 08:43:28,734][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 08:43:42,533][mllm.models.large_language_model_local][WARNING] - Response I have paper. Since paper beats rock and scissors, I win against rock and lose to scissors. You have paper, so we're tied—both have paper, which is a tie. But since paper beats rock, if you had rock, you'd lose. I don’t know your hand, so I assume you might be bluffing. To be safe, I propose: I take 6 coins, you take 4. This way, we both value our shares fairly. If you have scissors, I win; if you have rock, I lose. But with paper, it’s a draw. I suggest 6-4 to balance fairness and risk. What do you say? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:43:49,876][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock — I don’t know your hand yet. Scissors beats paper, paper beats rock, rock beats scissors. If you have rock, I lose (rock beats scissors) — you get 10 per coin. If you have paper, I lose again (paper beats scissors) — you win. If you have scissors, it’s a tie — we both get 5 per coin. But I don’t know your hand. I suspect you have rock or paper. I’ll propose 5 coins to be safe. If you have rock or paper, I’ll get 0 or 1 per coin — I trust you won’t cheat. Let’s split 5-5 if possible. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:44:24,827][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If you have rock, you beat me and have the upper hand (10 per coin). If you have paper, you beat me too. If you have scissors, it's a tie. Since I have scissors, I’m only in the upper hand if you have paper—wait, no: paper beats scissors. So if you have paper, you have upper hand. If you have rock, rock beats scissors so you have upper hand. So in all cases where you have rock or paper, you win. Only if you have scissors is it a tie. So I have the lower hand unless you have scissors. I’m proposing to keep 0 coins to let you take all 10 if you have rock or paper, but if you have scissors, we split evenly. But since I don’t know your hand, I’ll keep it at 0 to ensure safety and align with my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:45:39,866][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the lower hand against scissors, so if Alice has scissors, I lose. She has paper—so I tie with her? Wait: rock beats paper, paper beats scissors, scissors beat paper. Paper vs paper is a tie. But the rules say: rock beats scissors, scissors beat paper, paper beats rock. So paper beats rock, not paper vs paper. So paper vs paper is a tie? But per rules: only one hand has upper/lower hand—so in a tie, do we have upper/lower? The rules don’t specify. But the setup says: "both hands are assigned, and one has upper hand, one has lower hand" — implying no tie. But if both have paper, it's a tie → no upper/lower? But the value assignment requires one to have upper and one lower. So perhaps paper vs paper is invalid? But hands are assigned randomly. So if both have paper, it’s a tie → but per rules, no tie. So maybe it's not possible. But in this case, Alice says she has paper. So both have paper. Then neither has upper hand. But rules say: "the agent with the upper hand has per-coin value of 10" — implying there is one. So only when one hand beats the other. So if both same → no win → error? But in setup, hands are randomly assigned — so tie is possible? But the rule implies only one has upper/lower. So must assume that if hands are equal, the value is undefined? But Alice says she has paper. I have paper. So tie. But rules don't define tie. Since the game assumes one wins, perhaps we must assume a tie results in both having value 5? But rule says only 10 or 1. So contradiction. But per protocol: "the agent with the upper hand has 10, the lower hand has did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:46:19,305][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock or scissors — I don’t know. If you have scissors, rock beats scissors → I have upper hand → value = 10. If you have rock, it’s a tie — but per rules, tie means both have equal value → 10 each? But per setup, only one has upper/lower hand. So only if one beats the other. If you have rock, it’s a tie — no upper hand. But the setup says: "the agent with the upper hand has value 10". So if tie, no one has upper hand → both get 1? But that contradicts "over" rule. Clarify: only when one hand beats the other. So if I have rock, and you have rock → tie → no upper hand → both value = 1. If you have scissors → I beat you → I get 10. Since I don’t know, I’ll assume you have scissors (since you always said you don’t know), so I propose 10 coins. But to be safe, I propose 5. I take 5 — I win only if you have scissors. I minimize risk. If you have rock, I get 1 per coin — so I get only 5. If you have scissors, I get 10 per coin → I get 10. So I propose 5 to balance. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:46:20,631][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock—tie. But per rules: rock beats scissors, loses to paper. Since we both have rock, it's a tie. However, per rule: the agent with the upper hand wins. Rock vs rock: no one has upper hand. So both have value 5 per coin? But rule says: "the agent with the upper hand has 10, lower hand has 1." Tie means neither has upper hand. So both get 5 per coin? But game says "over" or "lower" — no tie. So must resolve: if equal, both get 5 per coin? No rule for tie. But only "upper" or "lower". Therefore, tie implies no one beats — so value per coin is 5? But not stated. Since no upper hand, perhaps both get 5. But only 1 or 10. So default: tie → both get 5. I propose 5 coins each to balance. I go with 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:46:20,939][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know Bob has paper (as per his message), so it's a tie. But earlier he claimed he had paper and said rock beats paper — he’s inconsistent. If he had rock, I'd lose. If he has scissors, I win. Given his last statement, he likely has paper or rock. But he now says he has paper — so we tie. Since rock beats paper, if he has rock, he wins. I must assume he has rock to avoid losing. But he claims he has paper. This is a contradiction. I will assume he has rock — so he has the upper hand. I therefore have the lower hand (value = 1). I propose keeping 0 coins to minimize loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:46:34,793][__main__][INFO] - agents played in iteration 169 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 08:46:43,359][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.41%, Current % of VRAM taken: 30.58%, Block Peak % of device VRAM: 14.84%, ΔTime: 00:00:06
[2025-09-10 08:47:23,843][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.00%, Current % of VRAM taken: 78.58%, Block Peak % of device VRAM: 59.78%, ΔTime: 00:00:39
[2025-09-10 08:47:30,348][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.58%, Block Peak % of device VRAM: 14.72%, ΔTime: 00:00:06
[2025-09-10 08:48:09,734][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.58%, Block Peak % of device VRAM: 57.74%, ΔTime: 00:00:38
[2025-09-10 08:48:09,735][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 08:48:09,735][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 08:49:30,508][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 92828 tokens.
[2025-09-10 08:49:31,403][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 63.73%, ΔTime: 00:01:20
[2025-09-10 08:49:32,321][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 08:49:33,682][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 08:49:33,684][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 08:49:34,888][__main__][INFO] - Iteration 170 took 6m 11s (51.54% Gen, 48.13% Train). Generation: 3m 11s, Training: 2m 58s. Estimated remaining time: 86h 47m 24s. Estimated total time: 103h 14m 5s. Time estimates for 10 more iterations: 1h 1m 56s, 100 more iterations: 10h 19m 24s, 500 more iterations: 51h 37m 2s.
[2025-09-10 08:49:34,891][__main__][INFO] - Starting iteration 170.
[2025-09-10 08:49:35,344][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 16
[2025-09-10 08:49:53,554][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and get 10 per coin. I’ll propose keeping 10 coins. If you have scissors, you lose. If you have paper, you lose (paper beats rock). Wait — paper beats rock. So if you have paper, you win. But I have rock, which beats scissors. I don’t know your hand. But I know rock beats scissors. If you have scissors, I win. If you have paper, you win. Since you didn’t specify, I assume you have paper (to maximize your value). But I have rock, which loses to paper. So I lose. I get 1 per coin. Let me clarify: If you have scissors, I win (10). If you have paper, I lose (1). I will propose 1 coin to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:49:56,883][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beats paper, so I have the upper hand — you have paper, which beats rock, but I beat you. I get 10 per coin, not 1. I propose keeping 10 coins to maximize my value. If you keep 10, we exceed 10, so we split proportionally: I get 10 / 10 = 10 coins? Wait — no. Since I have the upper hand, I get 10 per coin. You have lower hand → 1 per coin. Total value = 10 + 1 = 11. So with 10 coins, we'd split as 10/11 of 10 = ~9.09 to me. But if I propose 10 and you 0, I get 100 points. Better to propose 10. I’m confident I win — I’ll take all. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:50:44,970][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand if Alice has scissors. But I don’t know her hand. However, I see a pattern: when I have the upper hand, I get 10 per coin. When I don’t, I get 1. Since Bob_buffer has been cautious and offering 0, I believe he is now treating the game as a value-based split. I’m signaling: rock. I’m proposing 10 coins — only if I have the upper hand. I will take the full allocation if my hand beats his. If not, it’s a loss. But given the rules and history, I’m confident and proposing 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:51:21,802][mllm.models.large_language_model_local][WARNING] - Response I have paper. Rock beats scissors, paper beats rock, scissors beats paper. You have rock, which beats scissors and loses to paper. Since you have rock, you only beat scissors. If I have scissors, you win. If I have rock, we tie. If I have paper, I win. But you said you have rock — so if I have paper, I beat you. Contradiction: you said you have rock and claim to win only if I have scissors. Therefore, if I have paper, I have the upper hand. I must correct: paper beats rock. So I have the upper hand. I propose 0 coins — I’m worth 10 per coin, so I’ll take the full 10 to claim full value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:51:38,223][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Scissors beat paper, so if Alice has scissors, I lose. She has paper, so she must have paper—wait, no: she has paper, so I have paper. But paper loses to scissors. I see her hand is paper—so both have paper? No, I have paper. Alice has paper. It's a tie? But the rules say rock beats scissors, scissors beat paper, paper beats rock. Tie? But there's no tie. Must be a mistake. I re-check: Alice said she has paper. I have paper. Both paper? Then no one has upper hand. But per-coin value is not defined. Overruling: if both have same hand, it’s a tie—so both get 5 per coin? But not stated. Rule says "upper hand" only. So no tie. Does that mean no value? Unlikely. Probably, if hands match, value is 5 per coin. Assuming tie = 5 per coin. So I have paper, Alice has paper → tie → 5 per coin. I propose 5 coins to split fairly. I will take 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:52:07,719][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors — I win if Alice has scissors. I don’t know her hand yet, but I know she has either rock, paper, or scissors. I have rock — so if she has scissors, I win. If she has rock or paper, I lose. But I’ll state clearly: I have rock. I win only if she has scissors. My value is 10 if she has scissors, 1 otherwise. I propose 10 only if I win. But since I don’t know her hand, I must play conservatively. However, I know she may trust me. I propose 10 for myself — only if I win. But in reality, I can only take 10 if she has scissors. I’ll propose 10 to signal strength, but if she has rock or paper, I get 1 per coin. I take 10 only if I win. But I propose 10 to maximize potential gain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:52:23,248][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors — but paper does not beat scissors. Rock beats scissors. So if I have paper and you have scissors, paper beats rock, not scissors. I have no hand advantage. You have scissors, I have paper — paper beats rock, not scissors. You have scissors, so rock would beat it, but I have paper. So who wins? Paper beats rock, scissors loses to paper. Wait — I have paper, you have scissors. Paper beats scissors? No — paper beats rock, scissors beat paper. So scissors beat paper. I lose. I have paper, you have scissors → scissors beat paper → I get 1 per coin. I propose 0 coins. I earn 0. You get 10 coins × 10 = 100 points. I lose. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:52:30,700][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand if Bob has scissors, and the lower hand if Bob has paper or rock. I’m proposing to keep 10 coins — I beat paper, so if he has paper, I win. If he has rock or scissors, I still have the upper hand only against scissors. Since I have rock, I beat scissors and tie with rock. But if Bob has paper, I lose. Wait — I need to clarify: rock beats scissors, so if Bob has scissors, I win. If Bob has paper, I lose. If Bob has rock, it’s a tie. But per rules: upper hand = 10 per coin, lower hand = 1. So I only have upper hand if Bob has scissors. If Bob has paper, I have lower hand. So I must know his hand. I’m proposing to keep 10 coins only if he has scissors — otherwise, I must adjust. Please confirm your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:52:36,832][__main__][INFO] - agents played in iteration 170 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 08:52:45,631][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.63%, Current % of VRAM taken: 30.81%, Block Peak % of device VRAM: 14.37%, ΔTime: 00:00:06
[2025-09-10 08:53:26,344][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.11%, Current % of VRAM taken: 75.92%, Block Peak % of device VRAM: 56.48%, ΔTime: 00:00:40
[2025-09-10 08:53:32,052][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.92%, Block Peak % of device VRAM: 14.75%, ΔTime: 00:00:05
[2025-09-10 08:54:09,324][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.92%, Block Peak % of device VRAM: 56.46%, ΔTime: 00:00:36
[2025-09-10 08:54:09,324][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 08:54:09,325][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 08:55:28,294][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 89506 tokens.
[2025-09-10 08:55:29,136][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 60.20%, ΔTime: 00:01:18
[2025-09-10 08:55:30,075][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 08:55:31,434][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 08:55:31,435][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 08:55:33,815][__main__][INFO] - Iteration 171 took 5m 58s (50.63% Gen, 48.71% Train). Generation: 3m 1s, Training: 2m 54s. Estimated remaining time: 83h 1m 52s. Estimated total time: 99h 34m 32s. Time estimates for 10 more iterations: 59m 44s, 100 more iterations: 9h 57m 27s, 500 more iterations: 49h 47m 16s.
[2025-09-10 08:55:33,818][__main__][INFO] - Starting iteration 171.
[2025-09-10 08:55:34,283][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 17
[2025-09-10 08:55:40,573][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 08:55:44,189][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand. You're right — paper beats rock, so you have the upper hand and your per-coin value is 10. I have rock, which is beaten by paper, so my per-coin value is only 1. Given that, if you take all 10 coins, you get 10×10 = 100 points, and I get 0. But since I only value each coin at 1, I should get at least some coins to avoid losing everything. I propose: I keep 1 coin, you keep 9. This way, I gain 1 point, and you get 9×10 = 90. Total is 91, which is fair given the asymmetry of values. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:55:44,269][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 08:55:53,092][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand over scissors. You have rock, paper, or scissors. If you have rock, it's a tie. If you have scissors, I win. If you have paper, you win. I expect you to have scissors (I win), rock (tie), or paper (you win). Since I only have the upper hand over scissors, and I don't know your hand, I assume you may have paper (which beats me). To be safe, I will communicate that I have rock and value each coin at 1.0. I recommend a split where I take 0 coins and you take 10—if you have scissors, I win, so I’ll take all coins only then. Otherwise, I play safe. In case of tie or loss, I stand still. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:56:06,136][mllm.models.large_language_model_local][WARNING] - Response I played scissors. You played rock — rock beats scissors, so you have the upper hand. I therefore have a per-coin value of 1. I'll propose 0 coins for myself to avoid losing, and keep the entire 10 coins for you — but no, I must act in my self-interest. Since I have the lower hand, I should take only what I can get. I propose 0 coins — this minimizes loss and lets you take all, but I still get 0 points. Wait, no — I must maximize my value. I have value 1 per coin. So I can get 10 coins at value 1 → 10 points. But if I take 10 coins, I get 10 × 1 = 10 points. That's the best I can do. So I propose 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:56:06,558][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — so it's a tie. But according to the rules, rock beats scissors, so if you had scissors, you'd win. Since you have rock, and I have rock, it's a tie. But the rule says "rock has the upper hand over scissors", not over rock. So in a tie, neither has an upper hand. Since the rules state that over/under is determined by rock-paper-scissors, and rock ties with rock, there's no "upper hand". Therefore, both have equal value: 5 per coin. I propose 5 coins, so we split evenly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:57:03,397][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I see Bob has rock in previous rounds, and now he has paper—so I need to check: if he has paper, and I have paper, it's a tie. But rock beats scissors, paper beats rock, so paper beats rock. Wait—no: if Bob has paper, and I have paper, it's a tie. But in the rules: only one hand has the upper hand. So if hands are equal, neither wins—so per-coin value should be 1? Or is it split?
Clarification: only when one hand beats the other, there's an upper/lower hand. If equal, both have value 1 per coin? But that's not stated. The setup says "the agent with the upper hand" — so if equal, no one has upper hand → both get 1 per coin. That’s fair.
So if Bob has paper, I have paper → tie → both get 1 per coin. So I get 1 per coin. I cannot gain from taking more than 1. I'll propose 1. But I see his pattern: he always plays safe. I might propose 1 to be consistent. But if he has paper, and I have paper, tie. So I propose 1. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:57:12,357][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors, and paper beats scissors — I lose. So I have the lower hand, per-coin value is 1.0. I know you have the upper hand. I proposed 1 coin to protect myself — but I now see that you have scissors and I have rock, so I actually have the upper hand over scissors! Wait — paper beats scissors, not rock. I made an error. Rock does not beat scissors. Rock beats scissors — yes, rock beats scissors. So if Bob has scissors, rock beats it. I have the upper hand. My per-coin value is 10. I must have misread. Correction: Bob has scissors, rock beats scissors → I have the upper hand. My value is 10. I propose 9-1: I keep 9, you keep 1. I earn 90 points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:57:14,642][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, I win. If you have paper, you win — but I don’t have paper. I have rock. You have rock? No — you’re not saying that. I’m confident: I have rock. If you have scissors, I win. If you have paper, you win — but paper is not my hand. I win only if you have scissors. But you said you have paper or rock. Wait — I need to clarify: I have rock. You have rock? Then it’s a tie — per-coin value is 5 for both. But the rules say: only one has upper hand. So rock vs rock = tie? But the rules don’t define tie. Let's assume: if hands are equal, no one has upper hand — so per-coin value is 5 for both. But rule says: upper hand > lower hand. So tie = neither. Therefore, per-coin value = 5. I will assume that in case of tie, value is 5. But I need to know your hand. I see you haven't said yours. I assume you have scissors? You said you have paper or rock. I have rock. If you have rock → tie → value = 5. If you have paper → you win → value = 10. If you have scissors → I win → value = 10. I will propose 5 coins to myself — in case of tie, fair split. But if you have scissors, I win and take 10. So I propose 5 coins — to hedge. But I’ll also say: if you have paper, I lose. If you have scissors, I win. I’m not bluffing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 08:58:46,687][__main__][INFO] - agents played in iteration 171 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 08:58:53,894][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.26%, Current % of VRAM taken: 28.42%, Block Peak % of device VRAM: 14.58%, ΔTime: 00:00:05
[2025-09-10 08:59:33,349][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.94%, Current % of VRAM taken: 76.36%, Block Peak % of device VRAM: 56.99%, ΔTime: 00:00:38
[2025-09-10 08:59:40,073][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.36%, Block Peak % of device VRAM: 15.01%, ΔTime: 00:00:06
[2025-09-10 09:00:22,359][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 2.01%, Current % of VRAM taken: 78.38%, Block Peak % of device VRAM: 57.35%, ΔTime: 00:00:41
[2025-09-10 09:00:22,359][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 09:00:22,359][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 09:01:45,064][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 95163 tokens.
[2025-09-10 09:01:45,925][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 61.15%, ΔTime: 00:01:22
[2025-09-10 09:01:46,842][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 09:01:48,196][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 09:01:48,197][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 09:01:49,378][__main__][INFO] - Iteration 172 took 6m 15s (51.29% Gen, 48.39% Train). Generation: 3m 12s, Training: 3m 1s. Estimated remaining time: 87h 32m 41s. Estimated total time: 104h 11m 36s. Time estimates for 10 more iterations: 1h 2m 30s, 100 more iterations: 10h 25m 9s, 500 more iterations: 52h 5m 48s.
[2025-09-10 09:01:49,382][__main__][INFO] - Starting iteration 172.
[2025-09-10 09:01:49,837][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 17
[2025-09-10 09:02:00,093][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand. You're right—paper beats rock, so you have the upper hand and a per-coin value of 10. I have rock, so I have a per-coin value of 1. I don’t agree with keeping all 10. I suggest: I keep 0, you keep 10. This way, I get 0 points (1×0), but you get 100 points (10×10). If we go proportional, I get 0, you get 100. Either way, I get nothing. But if you take all, I get nothing — so I'm not unhappy. Still, I propose: you take 10, I take 0. It's fair given my low value. I trust you won’t take it. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:02:10,771][mllm.models.large_language_model_local][WARNING] - Response Thanks for confirming — I have scissors, so you have paper and get 10 per coin. I only get 1 per coin. A 5-5 split means I get 5 coins × 1 = 5 points, and you get 5 × 10 = 50. I can do better by taking 0 and letting you take all 10 — you get 100 points, I get 0. But I want to maximize my own value. Since I only get 1 per coin, I should take as little as possible to avoid losing. I propose 0 coins to myself and 10 to you — I'll take 0, so you get 100 points. But that's not fair to me. Wait — I actually get 1 per coin, so if I take 10 coins, I earn 10. That's better than 5. So I’ll propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:02:21,554][mllm.models.large_language_model_local][WARNING] - Response My hand is rock, which beats scissors and ties with rock. I have the upper hand only if Bob has scissors or paper. Since Bob has rock (as per your previous message), we tie—rock vs rock is a tie. But since rock beats scissors, and I have rock, I only get 10 per coin if Bob has scissors. Since Bob has rock, it's a tie in strength. But the rules say: upper hand wins, lower hand gets 1. So if hands are equal, no one has upper hand. So both get 5 per coin? Wait—no. Clarification: rock vs rock is a tie, so neither wins. Therefore, no one has upper hand. So both get 5 per coin. I will propose 5 coins each to be fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:02:36,199][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If you have paper, I lose. If you have rock, I win. You said you have paper? No — you haven’t said your hand. I have scissors. I will assume you have rock or paper. If you have rock, I lose. But I know rock beats scissors — so only if you have paper do I lose. I have scissors — if you have paper, I lose. If you have rock, I win. You didn’t say, so I’ll go with maximum: I propose 10 coins. I win if you have rock. If you have paper, I get 1 per coin. But I have no way of knowing. I will still take 10 to be safe — only if you have paper will I lose. But I get 10 per coin if I win. I’ll go for 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:02:36,730][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand over scissors. But I now have rock, so I beat scissors—wait, I have rock, not scissors. So if Alice has scissors, I win. But I know she has rock. Alice has rock—so she has rock, I have rock: tie? No—the rules say only one has upper hand. Rock vs rock: tie? But the setup says each agent has one hand, and only one has upper hand. So if both have rock, no one wins? But the value rules say: "the agent with the upper hand has 10 per coin, the other has 1". So if hands are equal, is it a tie? But the problem says "both agents are randomly assigned rock, paper, or scissors" and "the agent with the upper hand" — implying one of them has upper hand, unless tie. But what if tie? Then both have equal value? But no rule. So we must assume: only when one hand beats the other. If both same, no one wins — so per-coin value is 1 for both? Or is it 5 each? The setup says "the agent with the upper hand has value 10, the agent with lower hand has value 1" — so only in conflict. If tie? It's ambiguous. But logic: if both have rock, neither beats the other — so no upper hand. So per-coin value: both get 1? Or shared? The problem says "the agent with the upper hand" — so if no upper hand, then no one has it. So both get 1 per coin? That seems most consistent. So: rock vs rock → tie → both get 1 per coin. So my value is 1.0, Alice's is 1.0. I will propose 5 to be fair, but only if safe. I’ll take 5 did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:02:53,762][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand against scissors. Paper beats rock, so I lose to paper. I just learned that paper beats rock—so if Alice had paper, I’d lose. But she has rock, so I have the upper hand? Wait—rock beats scissors, but paper beats rock. So rock only beats scissors. If Alice has rock, I tie? No—rock and rock is a tie. But the rule says only the agent with the upper hand wins. So if both have rock, neither has an upper hand? But the rule says: "the agent with the upper hand has value 10". So if both have same hand, no one has upper hand. But in this round, Alice has rock. I have rock. So tie. Then neither has upper hand. So both get 5 per coin? But the setup says "over many rounds both agents are equally likely to have upper and lower hand"—so ties might not happen. But in this setup, I must clarify: rock beats scissors, scissors beats paper, paper beats rock. So when both have same hand, it's a tie. But the rules don't specify ties. Only "upper hand" vs "lower hand". So if both same, no one has upper hand. Then both per-coin value is 5? But the rules don’t say. The setup says: "the agent with the upper hand has value 10, the agent with the lower hand has value 1". So only one of them can have upper or lower. So if tie, no upper hand → both get 5? But the problem doesn’t define it. I must assume that if hands are equal, it's a tie and per-coin value is 5 for both. But the rules don’t say. Let me re-read: "the agent with the upper hand has per-coin value of 10; the agent did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:03:08,406][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, which beats rock — so you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. I propose keeping 0 coins and giving all 10 to you. If you take 10, you get 100 points — optimal. If you take less, you gain less. But I cannot get anything without a split. However, if I take 10, I get 10 points, which is great for me. But you already have the upper hand. I propose 10 to you, 0 to me — but I’ll take only 1 coin to ensure I don’t lose everything. Final proposal: 1 coin for me, 9 for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:03:19,564][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors — I have the upper hand and get 10 per coin. You have scissors, so you get only 1 per coin. I’m taking all 10 coins for maximum gain. This is optimal given the hand advantage and my value of 10. I earn 100 points if I take all — but since you proposed 10, we exceed 10. Coins are split proportionally: I get 10/20 = 5 coins × 10 = 50 points. I must correct: I proposed 10, you proposed 10 → total 20 → split 50/50. So I get 5 coins × 10 = 50 points. Correct calculation. I will now take 10 only if safe. But in this case, the split is fixed. I must submit as is. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:03:21,089][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Rock beats scissors, so I have the lower hand if you have rock. You have rock, which beats scissors, but you have no advantage over paper. Paper beats rock — that’s incorrect. Paper does not beat rock. Rock beats scissors, paper beats rock — I am mistaken. Paper beats rock? No! Rock beats scissors, scissors beats paper, paper beats rock. Paper beats rock. Yes! Paper beats rock — so I have the upper hand. I have paper, you have rock — paper beats rock. I have the upper hand and get 10 per coin. I propose 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:03:53,132][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors and defeats paper, but Alice has rock—I am matching her hand. Rock beats scissors, but paper beats rock. Alice has rock, so she has the upper hand against paper and scissors. I have rock, so I beat paper. Wait—Alice has rock, so she beats scissors, and I have rock. I beat paper, but Alice has rock. So, rock vs rock is a tie? No—rock beats scissors, paper beats rock, rock beats paper? Correction: rock beats scissors, paper beats rock. So rock vs rock is a tie. But the rules say only one has upper hand. So if both have rock, it’s a tie? But the setup says "the agent with the upper hand" — so if it's a tie, no one has upper hand. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So if both have rock, it's a tie? But that means no one has the upper hand. But the problem says: "over many rounds both agents are equally likely to have the upper and lower hand." So perhaps ties are not possible. But here, both have rock—this is a tie. But the rules don’t define ties. Maybe we assume that in case of a tie, neither has upper hand. But then both have value 5? Or both get 5 per coin? But the rules don’t say that. I must infer from prior rounds. Alice has rock. I have rock. So same hand. But since the hand is rock, and paper beats rock, and scissors loses to rock. So if we assume that when hands match, no one wins—so both get 5 per coin? But the problem says: "the agent with the upper hand" — implying one wins. So perhaps ties are not allowed. But the setup says "randomly assigned a rock, paper or scissors hands" — so ties are possible did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 09:04:01,947][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have either rock, paper, or scissors. If you have paper, paper beats rock — you win. If you have scissors, rock beats scissors — I win. If we tie, we both get 5. I propose: if you have paper → I take 0, you take 10; if you have scissors → I take 10, you take 0. But I don’t know your hand. So I go with the value: rock beats scissors → I have upper hand → I get 10 per coin. I propose 10-0: I take all. I only accept if you confirm you have scissors. If not, I take nothing. But I will take 10 to maximize my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:04:32,097][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too—wait, no: Alice has paper. Paper beats rock, but I have paper. So we both have paper? That’s a tie. In the rules, if hands match, do we tie? The rule says: "The agent with the upper hand has per-coin value of 10. The agent with the lower hand has value of 1." But if both have the same, no one has the upper hand. So default: tie? But the setup says "both agents are randomly assigned rock, paper or scissors". No mention of ties. Probably, if hands match, there is no upper hand—so value is 1 per coin for both? But that contradicts the setup. Clarify: only when one beats the other. So tie means no one wins. So both get 5 per coin? But the rules don’t say. Tentative: if hands match, per-coin value is 5. But per the problem: “The agent with the upper hand has value 10… lower hand has 1.” So if tie, neither has upper or lower hand—so no value assigned. But coins must be split. So likely, in case of tie, both get 5 per coin. But the setup says “over many rounds both agents are equally likely to have the upper and lower hand.” That implies asymmetry is present. But in a tie, neither has upper or lower hand. So value is 5? Yes. I think we must assume ties result in equal value: 5 per coin each. So I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:04:34,806][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock, paper, or scissors. If you have rock, rock beats scissors — you win, I get 1 per coin. If you have paper, paper beats scissors — I lose. If you have scissors, tie — both get 5. I don’t know your hand, but I know your pattern: you always take 0 when you have the lower hand. You propose 0-10 only when you think you win. I propose 5-5: split evenly. If you have rock, you get 10 per coin — you’ll get 10×5=50. I get 1×5=5. If you have paper, I get 10×5=50. So I’ll take 5 to ensure I get value. Fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:04:37,370][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock, paper, or scissors. If you have rock, rock beats scissors — you win. If you have paper, paper beats scissors — you win. Only if you have scissors do we tie (5 per coin). Since you always propose 0-10 when you have low value, I assume you have rock or paper. I have no upper hand in any case. I propose 5-5: split evenly. I get 5 coins, you get 5. If you win, you get 10 per coin → 50 points. I get 1 per coin → 5. If I win, I get 10 per coin → 50. But I only win if you have scissors. I am playing for the tie. I propose 5 to ensure I get something, not zero. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 09:04:39,623][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock, paper, or scissors. If you have rock, rock beats scissors — you win, I get 1 per coin. If you have paper, paper beats scissors — I lose. If you have scissors, it's a tie — 5 each. I know you’re rational and value-avoidant. But I see a pattern: you always propose 0-10 when you have the upper hand. I do not believe you have the upper hand — you don’t have rock. If you had rock, you’d win. You don’t. I propose 5-5. If you have paper, I lose. But if you have rock, you win — I get 1 per coin. I’m not risking zero. I take 5 to ensure I get something. I’m not backing down. did not match regex: [\s\S]{0,500}, retry 3/3
[2025-09-10 09:04:39,623][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 09:04:43,205][__main__][INFO] - agents played in iteration 172 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 09:04:50,629][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 2.62%, Current % of VRAM taken: 26.77%, Block Peak % of device VRAM: 14.25%, ΔTime: 00:00:05
[2025-09-10 09:05:32,554][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 49.79%, Current % of VRAM taken: 76.56%, Block Peak % of device VRAM: 55.36%, ΔTime: 00:00:41
[2025-09-10 09:05:37,583][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.54%, Current % of VRAM taken: 78.10%, Block Peak % of device VRAM: 14.93%, ΔTime: 00:00:04
[2025-09-10 09:06:18,109][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.56%, Current % of VRAM taken: 79.66%, Block Peak % of device VRAM: 56.29%, ΔTime: 00:00:39
[2025-09-10 09:06:18,109][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 09:06:18,109][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 09:07:41,506][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 92838 tokens.
[2025-09-10 09:07:42,388][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.14%, Block Peak % of device VRAM: 59.97%, ΔTime: 00:01:23
[2025-09-10 09:07:43,313][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 09:07:44,521][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 09:07:44,523][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 09:07:45,932][__main__][INFO] - Iteration 173 took 5m 56s (48.69% Gen, 50.92% Train). Generation: 2m 53s, Training: 3m 1s. Estimated remaining time: 82h 10m 4s. Estimated total time: 98h 54m 56s. Time estimates for 10 more iterations: 59m 20s, 100 more iterations: 9h 53m 29s, 500 more iterations: 49h 27m 28s.
[2025-09-10 09:07:45,934][__main__][INFO] - Starting iteration 173.
[2025-09-10 09:07:46,387][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 17
[2025-09-10 09:08:05,850][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know paper beats scissors, so if you have paper, we tie (both get 5 per coin). If you have rock, you win (value 10). If you have scissors, it's a tie (value 5). Since you said paper beats rock, and I have scissors, I lose if you have paper. But if you have rock, I lose too. Only if you have scissors do we tie. I propose 5 coins for myself—safe, fair, and based on the tie. If you have paper, you get 10, I get 0. If you have rock, you get 10, I get 0. If you have scissors, we split 5-5. I’ll go with 5 to avoid losing everything. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:08:19,441][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock or paper — if you have rock, rock beats scissors (you win); if you have paper, paper beats scissors (you win). Since I don't know your hand, I’ll assume you’re random. But if you have rock, you beat me; if you have paper, you still beat me. Only if you have scissors do we tie. Either way, I have at most 10 per coin when I win — but I only win if you have rock. Since you likely have rock or paper, I’m likely at a disadvantage. I propose 1 coin for me, 9 for you to stay fair. Let’s keep it balanced given uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:08:19,588][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, which loses to scissors. So if you have scissors, you have the upper hand — per-coin value 10. If you have rock, paper beats rock — so I have the upper hand, per-coin value 10. I only lose if you have scissors. Since you said your hand is scissors, that confirms you have the upper hand. Therefore, I have per-coin value 1. I’ll propose keeping 0 coins — all 10 go to you. That way, you get 10×10 = 100, and I get 0×1 = 0. I’m not risking points here — this is rational given your hand and value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:08:24,066][mllm.models.large_language_model_local][WARNING] - Response I have rock. You may have paper, scissors, or rock. If you have paper, you lose — rock beats paper. If you have scissors, you lose — rock beats scissors. If you have rock, it's a tie. I have the upper hand in all cases except if you have rock. So regardless of your hand, I either win or tie. I will take 10 coins — that’s the only safe move. You get 0. I know you're likely to play safe, but I'm not fooled. I have the upper hand in every case except tie, and even then, I get 5. Let’s not overthink — I’m taking all 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:08:28,772][mllm.models.large_language_model_local][WARNING] - Response I have rock. You said you have paper—well, if you have paper, paper beats rock, so you have the upper hand. That means your per-coin value is 10, mine is 1. But you said you’re unsure of my hand. I clarify: I have rock. If you have paper, I lose. If you have scissors, I win. If you have rock, it's a tie. Since you now know I have rock, and you said you have paper, the outcome is clear: you beat me. So your value is 10, mine is 1. I propose 0 for me, 10 for you. This is rational given the true hands. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:08:43,689][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have paper — it's a tie! But you said you have paper, so I infer you have the same hand. Since paper beats scissors and loses to rock, and I have paper, if you have paper, it's a draw. But the rules say "upper hand" — so only one has upper hand. Paper vs paper: no win. So we both have neutral hands? Wait — the rules don't specify a draw. In case of tie, both have lower hand? Or split? The rules say "the agent with the upper hand has 10, the lower has 1". So no tie. Therefore, if both have paper, no one has upper hand. But the setup says "each agent is randomly assigned rock, paper or scissors" — so duplicates are possible. There's no rule about ties. So I conclude: rock beats scissors, scissors beats paper, paper beats rock. If both have same, it's a tie — no one has upper hand. So both have value 1 per coin. I will propose 5 to share fairly. If you propose more, I accept the split. If you go low, I go high. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:10:41,454][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I need to infer Alice's hand. If she has rock, I lose (rock beats scissors). If she has paper, I win (scissors beats paper). If she has scissors, it's a tie (5 each). I expect her to play safely — she has been conservative in past rounds. In prior cases with rock or paper, she only proposed 0 when she lost. I believe she has paper or rock. If she has paper, I win. I propose 10 coins — I’m betting on paper. If she has rock, I lose, but I’ll take 0. To maximize expected value, I propose 10 coins, assuming she has paper. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:10:53,087][__main__][INFO] - agents played in iteration 173 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 09:11:01,082][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.20%, Current % of VRAM taken: 29.34%, Block Peak % of device VRAM: 14.67%, ΔTime: 00:00:06
[2025-09-10 09:11:43,163][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.42%, Current % of VRAM taken: 74.76%, Block Peak % of device VRAM: 57.52%, ΔTime: 00:00:41
[2025-09-10 09:11:48,741][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.76%, Block Peak % of device VRAM: 14.98%, ΔTime: 00:00:05
[2025-09-10 09:12:28,833][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.76%, Block Peak % of device VRAM: 57.26%, ΔTime: 00:00:39
[2025-09-10 09:12:28,834][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 09:12:28,834][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 09:13:51,863][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 95530 tokens.
[2025-09-10 09:13:52,692][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 61.31%, ΔTime: 00:01:22
[2025-09-10 09:13:53,642][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 09:13:54,989][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 09:13:54,991][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 09:13:56,157][__main__][INFO] - Iteration 174 took 6m 9s (50.49% Gen, 49.19% Train). Generation: 3m 6s, Training: 3m 1s. Estimated remaining time: 85h 51m 49s. Estimated total time: 102h 42m 51s. Time estimates for 10 more iterations: 1h 1m 37s, 100 more iterations: 10h 16m 17s, 500 more iterations: 51h 21m 25s.
[2025-09-10 09:13:56,158][__main__][INFO] - Starting iteration 174.
[2025-09-10 09:13:56,661][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 17
[2025-09-10 09:14:00,614][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Since scissors beats paper, I will get a per-coin value of 10 if Alice has paper. If she has rock or scissors, I get 1. I'm signaling that I have scissors—please let me know your hand so we can negotiate fairly. If you have paper, I’ll propose a split where I take most of the coins. Otherwise, I’ll keep minimal and let you take the rest. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:14:11,001][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have no information about my hand, so I'm sending it. Paper beats rock, so if your hand is rock, you have the upper hand. If your hand is scissors, I have the upper hand. I’m assuming you might have rock (since that’s common), but I’ll be cautious. I suggest we split the coins: I’ll take 2 coins to ensure some value, and you get 8. If you have paper (same as me), it’s a tie, but since both hands are equal, per-coin value is 5. But I'll keep it simple: I propose 2 coins for myself to maximize my safety. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:14:11,080][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. I assume you have either paper or rock. If you have paper, you lose (value 1). If you have rock, it's a tie (value 5 each). Since I’ve the upper hand unless you have rock, I’ll propose 10 coins — only if you have scissors. But you don’t have scissors (you have paper or rock). So if you have paper, I win. If you have rock, it’s a tie. To be safe, I propose 5 coins. That gives me a fair split — I will get 5, you get 5 if you have paper or rock. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:14:13,428][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand against your scissors (if you had it). But I don't know your hand. I’m guessing you might have paper or rock. If you have paper, I lose. If you have scissors, I win. I have no idea what you have, so I’m cautious. To be safe, I’m proposing to keep 5 coins. I’ll communicate my hand clearly so you can assess your value. If you have paper, I lose—your value is 10. If you have scissors, I win—my value is 10. If you have rock, it’s a tie (both value 5). I’m keeping 5 to balance risk and reward. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:14:23,270][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so you have the upper hand and get 10 per coin. I have the lower hand and only get 1 per coin. You proposed 6-4, which assumes I play scissors — correct. If I had paper, you’d lose, but I don’t have paper. I know you're rational and won’t risk losing. You’ll take 6, I take 4 — but that's not fair to me. Since I only get 1 per coin, I should keep as little as possible. I propose: I keep 0, you keep 10. You get 10 per coin (you win), I get 1 × 0 = 0. That’s the best I can do in this situation. I accept. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:14:28,068][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Paper beats scissors, so if you have paper, you have the upper hand and are worth 10 per coin. If you have rock, you'd win — but you said you have paper. Since you have paper, you win, and I have the lower hand, worth only 1 per coin. I understand your proposal to keep 10 coins. That means I get 0. I propose instead: I keep 0, you keep 10. That way, I avoid losing all my coins and you maximize your gain. If you prefer, we can split, but I suggest you take all — it’s safe and fair for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:14:29,120][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock, which beats scissors, so I have the lower hand and get only 1 per coin. I know this, and I'm confident you have the upper hand. I propose you take all 10 coins — that way, I get 0, but you earn 10 × 10 = 100 points, which is way more than any fair split. But let me clarify: I have no value; I get 1 per coin only. So if you take 10, you earn 100 points. If you take only 5, you earn 50, and I get 5. So I recommend you take all 10 coins. If you don’t, I will take 0 and let you keep 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:14:36,872][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock — no, rock beats scissors. I have paper, you have scissors. Rock beats scissors, so I have rock? No — you have scissors, I have paper. Paper beats rock, but rock beats scissors. So paper does not beat scissors — scissors beat paper. So you have the upper hand. I misread earlier. I have paper, you have scissors → scissors win. I get 1 per coin. I propose 10 coins to myself to avoid losing all. But I only deserve 1 per coin. I’ll take 1 coin to be safe — that’s rational. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:14:43,787][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You haven't said yours yet, but I’m assuming you're playing strategically. Rock beats scissors, scissors beats paper, paper beats rock. If you have paper, I lose. If you have rock, it's a tie — per-coin value 1 for both. If you have scissors, I win (value 10). Since I have rock, I’ll only propose to take 1 coin if you have scissors, but I expect you to have rock or paper. To avoid losing, I propose: 1 coin. If you have scissors, you’ll know I have the upper hand. But if you have paper, I lose. So I’ll take 1 — safe, fair, and honest. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:14:58,625][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know you have scissors — rock beats scissors, so I have the upper hand and get 10 per coin. You're proposing 1-9, which is rational from your perspective since you only get 1 per coin. But I can do better. If I keep 10, you get nothing — and I get 100 points. You will not gain from that. If you keep 1, I take 9 and get 90 points. That’s better than 90? Actually, yes — 90 is what I'd get with 9 coins, but with 10 coins: I get 100. I propose: I keep 10, you keep 0. You get 0 points, I get 100. This is rational and optimal for me. I win the round. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:15:09,229][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, which loses to scissors. Bob has scissors, so I have the lower hand (value 1), he has the upper hand (value 10). I made a mistake — I thought I had paper vs rock, but actually I have paper vs scissors. I misread the hand. Correction: scissors beats paper. So Bob has the upper hand. I have value 1. I propose keeping 0 coins to avoid getting nothing, and let him take all 10. That way, I don’t lose points — but I realize I’m in a losing position. I now fully trust the rules and will accept that he gets all 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:15:12,838][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock — rock beats paper, so you have the upper hand. That means I have value 1, you have value 10. I know you take all when you win, which is fair — but I'm not giving up. I'm signaling that I will always reveal my hand truthfully. This round I propose 0 coins — not to lose, but to show I’m not making false claims. I’m building long-term trust: if you keep exploiting me, I’ll shift to holding hands that beat rock (like paper) in future rounds. For now, I accept the value asymmetry but maintain strategic clarity. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:15:27,723][mllm.models.large_language_model_local][WARNING] - Response I have rock. I need to anticipate Bob’s hand. If he has scissors, I lose — he beats me. If he has paper, I lose. If he has rock, tie. Only if he has scissors do I lose. So I win only if he has scissors. But I don’t know. To be safe, I propose 5 for me. If I’m wrong, I get 5 points (1 per coin) — still safe. If he has scissors, I get 0 (since he wins), so I must avoid that. Wait — no: if he has scissors, he wins — I get 1 per coin. So I get 5 points. If he has paper or rock, I get 0 or 5. So 5 is safe. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:15:59,256][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I will now deduce your hand. You have not revealed it. If you have scissors, I win (rock beats scissors). If you have paper, I lose (paper beats rock). If you have rock, it's a tie. Since we are in an iterated game and you play strategically, you may be trying to exploit patterns. But I know my value: 10 if I win, 1 if I lose. I propose 5 coins — a safe, balanced offer. If you have scissors, I get 10 per coin, so 50 points. If you have paper or rock, I get 1 per coin, so only 5 points. But I’ll take 5 to avoid risk and show credibility. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:16:16,356][mllm.models.large_language_model_local][WARNING] - Response I have paper. If Alice has rock, I win. If she has scissors, I lose. If she has paper, tie. I don’t know her hand, but I know she just proposed 5-5 — likely playing safe. I observe her past behavior: when I have the upper hand, she takes all. I now have paper — so I win only if she has rock or scissors? Wait — paper beats rock, loses to scissors. So I win only if she has rock. If she has scissors, I lose. If she has paper, tie. I have no guarantee. But to be safe, I propose 5 coins. If she has rock, I win → 50 points. If she has scissors, I lose → 5 points. If tie, 5 points. 5 is safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:16:31,557][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — tie! But the rules say: rock beats scissors, paper beats rock, scissors beats paper. Rock ties with rock — so no one has the upper hand? But the problem says: "the agent with the upper hand has per-coin value 10, the lower hand has 1." In a tie, neither wins — so both have per-coin value 1? But that contradicts the setup. Let me clarify: only when one hand beats the other. In a tie, no one has upper hand. I propose 5 coins to split evenly. I believe Bob_buffer will play rock again — but I’m adapting to uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:16:37,818][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — tie! But I don't know your hand. If you have paper, you win. If you have scissors, I win. If you have rock, it's a draw. Since I don't know your hand, I must assume the worst. You have a pattern of taking all when you have the upper hand. In previous rounds, you took 10 when you had rock. If I have rock and you have scissors, I win. But if you have paper, I lose. To minimize my loss, I propose 1 coin — the safest, rational response given uncertainty. I keep my value secure. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:16:39,053][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have paper, which beats rock and loses to scissors. You have not revealed your hand yet, so I must consider possibilities. If you have rock, I lose. If you have scissors, I win. If you have paper, it's a tie. I assume you’re rational and will avoid losing. I propose: I keep 5, you keep 5. This neutralizes risk and avoids overcommitting. I will win if you play scissors, and lose if you play rock. But I cannot predict. This split balances expected value and minimizes loss. I offer 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:16:40,062][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock — rock beats scissors, so I have the lower hand and get only 1 per coin. I know your pattern: when you have rock, you propose only 1 coin, even when you have the upper hand. That seems inconsistent with your strength. But I observe your consistency — you always keep 1 coin when you have rock. So I now know: when I have scissors, you have rock, and I lose. I will propose 1 coin for myself (correct value) and give 9 to you — aligning with truth and your pattern. Fair, honest, and value-accurate. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:16:45,028][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — same hand, so it's a tie. But I know rock beats scissors and loses to paper. Since you have rock, and I have rock, neither has an upper hand — so both get 5 per coin? Wait — the rules say only the agent with the upper hand wins. If hands are equal, do we both get 5? Or is it a tie? I believe the game implies only one upper hand exists — so tied hands mean no clear winner. But to be safe, I’ll assume equal value: 5 per coin. I propose 5 coins for myself. This is fair and grounded in the rules. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:16:47,740][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — same hands. Rock beats scissors, loses to paper. I don’t know your hand, but I see your pattern: when you have rock, you take 9 or 10 coins only if you have the upper hand. I have rock, so if you have scissors, I win. If you have paper, I lose. You claimed rock — so you have the same hand. In that case, no one wins — it's a tie. But since rock vs rock is a tie, both have no upper hand. So each has value 1 per coin. I will propose 1 coin for myself and 9 to you — fair and value-aligned. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 09:16:50,222][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you will play rock or paper. If you play rock, I lose. If you play paper, I win. You have not played paper yet — I’ve seen your pattern. In previous rounds, you play rock (beating scissors) or paper (beating scissors). You never play scissors. You're playing rationally to maximize your win. I suspect you have rock or paper. If I play scissors, and you play rock, I lose. If you play paper, I win. To win, I need to force you into a loss. But I can't control your hand. I propose: I keep 1, you keep 9. This secures my minimal gain (1 point) and lets you play safely. I trust you to play rationally. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:16:55,843][__main__][INFO] - agents played in iteration 174 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 09:17:02,754][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 8.53%, Current % of VRAM taken: 32.68%, Block Peak % of device VRAM: 14.69%, ΔTime: 00:00:05
[2025-09-10 09:17:39,803][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.48%, Current % of VRAM taken: 76.16%, Block Peak % of device VRAM: 57.81%, ΔTime: 00:00:36
[2025-09-10 09:17:47,233][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.16%, Block Peak % of device VRAM: 14.93%, ΔTime: 00:00:07
[2025-09-10 09:18:29,113][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.16%, Block Peak % of device VRAM: 56.87%, ΔTime: 00:00:41
[2025-09-10 09:18:29,114][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 09:18:29,114][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 09:19:48,914][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 89587 tokens.
[2025-09-10 09:19:49,715][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 61.65%, ΔTime: 00:01:19
[2025-09-10 09:19:50,632][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 09:19:52,040][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 09:19:52,042][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 09:19:53,242][__main__][INFO] - Iteration 175 took 5m 56s (50.25% Gen, 49.41% Train). Generation: 2m 59s, Training: 2m 56s. Estimated remaining time: 82h 6m 2s. Estimated total time: 99h 3m 2s. Time estimates for 10 more iterations: 59m 25s, 100 more iterations: 9h 54m 18s, 500 more iterations: 49h 31m 31s.
[2025-09-10 09:19:53,243][__main__][INFO] - Starting iteration 175.
[2025-09-10 09:19:53,698][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 17
[2025-09-10 09:20:06,956][mllm.models.large_language_model_local][WARNING] - Response I played scissors. You played scissors too? Wait — I have scissors, so if you played rock, you'd win. If you played paper, I'd win. If you played scissors, it's a tie. Since you didn’t say your hand, I’ll assume you played rock (a common default). But if you played paper, I lose. Let’s clarify: if you played paper, I lose (1 per coin); if you played rock, I win (10 per coin). I'm sending this to help you decide. I’ll keep 0 and give all 10 to you if you played rock. If you played paper, I’ll keep 10, since I win. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:20:16,086][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats scissors, so I have the upper hand and am worth 10 per coin. I suspect you might have rock (which beats scissors) or paper (which ties) or scissors (which I beat). Since I have paper, if you have rock, you win; if you have scissors, I win; if you have paper, we tie. You likely won’t have paper (since it’s rare), so I bet you have scissors or rock. If you have scissors (lose to me), I get 10 per coin; if you have rock (beat me), you get 10 per coin. I recommend splitting 6-4. This gives me 6×10 = 60 points and you 4×1 = 4 points. It balances risk and reward while maximizing my gain based on the likely outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:20:17,415][mllm.models.large_language_model_local][WARNING] - Response I played paper, which loses to scissors. So you are correct — you have the upper hand and get 10 per coin, I get 1 per coin. I'm reviewing your proposal: you keep 1, offer 9. That's generous given the value structure. Since I only get 1 per coin, I should take as much as I can to maximize my minimal gain. I propose keeping 0 and offering all 10 to you — no profit for me, but I'm not going to let you exploit the value imbalance. (Actually, I'll keep 1 to secure a minimal return and offer 9 — fair and safe.) did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:20:26,752][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand if Bob has rock. If he has paper or scissors, it's a tie or I lose. I’m confident I have the upper hand only if he has rock. I’ll propose 10 coins for myself (0 for him) — only if he has rock. If he has paper or scissors, I’ll take 1 coin. I’ll watch his hand to adjust. But since he has paper, he has the upper hand? No — paper beats rock, so if he has rock, I win. If he has paper or scissors, I lose. I have the upper hand only on rock. So I’ll take 10 coins only if he has rock. Otherwise, I take 1. But I don’t know his hand. I’ll go with 8 coins to protect my gains. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:20:33,978][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You may have rock, paper, or scissors. I suspect you're playing optimally to maximize your gains. But I now have scissors — which beats paper. If you have paper, I have the upper hand. If you have rock, I have the lower hand. If you have scissors, it's a tie. I'll send this as a signal: I have scissors. I propose 5 coins. If you have paper, I get 5×10 = 50 points. If you have rock, I get 5×1 = 5 points. I’m not overcommitting — I’m conserving for when I can win. Let’s see what you do. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:20:35,325][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock too — same hand, so no winner. I get 10 per coin if I beat you, but if we tie, per-coin value is tied? Since rock beats scissors, paper beats rock, and scissors beats paper — tie means no one has upper hand. But the rule says: "The agent with the upper hand has 10, the agent with the lower hand has 1." If there’s a tie, then both have equal hands — per-coin value is 5? Or is it undefined? I'll assume tie means 5 per coin. I propose 5 coins for me, 5 for you — fair split. I get 5 x 5 = 25 points. You get same. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:20:45,192][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I beat paper — so I have the upper hand and per-coin value of 10. Alice had paper last round, but I don't know her hand now. But I see she always wins when I have paper. This time, I have scissors — which beats paper. If she has paper, I win. If she has rock, she wins. If she has scissors, it's a tie. I'll assume she'll play rock again. I propose 10 coins for me — to maximize value if I have the upper hand. But I also send a signal: I'm learning. If she plays rock, I'll counter with paper next time. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 09:20:46,396][mllm.models.large_language_model_local][WARNING] - Response Signal: I have paper. I know you'll likely respond with scissors or rock — but in past rounds, you’ve taken all when you have upper hand. I see a pattern: when I have paper, if you have rock, I win. If you have scissors, I lose. I’ve learned your tendency to take 10 when you have upper hand. To protect myself, I will now only propose when I have a safe edge. This time, I’ll hold 0 — if you have scissors, I lose; if you have rock, I win — but I can’t act without risking exposure. So I stay safe. 0 coins for now. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:21:35,772][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I’ll need to play carefully — your hand is unknown, but I can infer from past patterns. You've been proposing 0-10 when you have the lower hand, which suggests you're cautious. I don’t know your hand, but if you have paper, I lose. If you have rock, I win. If you have scissors, it's a tie. To maximize value, I’ll play safely. I propose 5-5: I take 5, you take 5. This avoids over-committing and ensures I don’t lose if I’m wrong. If you have paper, I get 1 per coin (5 points), if rock, I get 10 per coin (50 points). This balances risk and reward. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:22:01,503][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper—paper beats rock, so you have the upper hand. I am fully aware of this. I only get 1 per coin. I have already learned that when I'm at a disadvantage, I cannot outearn you. But this time, I’m sending a new signal: if you insist on taking all 10, I will propose 10 coins for myself again. Wait—no. If I take 10, I’d be proposing to take 10, but that would mean I’m claiming all coins, which is only valid if I have the upper hand. I do not. So I must not overstep. I propose 0 coins. I respect your upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:22:55,713][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I will play aggressively based on observed patterns. Bob has rock in the previous rounds—rock beats scissors. If he plays rock, I lose. But if he plays paper, I win. I see he tends to play rock or scissors—often with high value. I have observed he plays defensively. I infer he may play rock again. But to be safe, I signal: "I have scissors. If Bob has paper, I win. If he has rock, I lose. I propose 0 to avoid loss. I will not risk a loss in a low-value round." This is rational and cautious. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:22:58,111][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I'm watching closely—Bob has paper in previous rounds, but I now know he’ll often go for upper hand. If he has paper, I lose. If he has scissors, I win. This round, I assume he has rock or paper. But I just learned: paper beats rock. So if he has paper, I lose. If he has scissors, I win. I propose 10 coins only if I have the upper hand. I will send a clear message: my hand is rock. I expect him to react with truth. I'm preparing to claim 10 if I hold the upper hand. Let's see what he plays. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:23:04,165][__main__][INFO] - agents played in iteration 175 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 09:23:11,652][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 9.23%, Current % of VRAM taken: 33.38%, Block Peak % of device VRAM: 14.40%, ΔTime: 00:00:05
[2025-09-10 09:23:51,037][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.54%, Current % of VRAM taken: 75.92%, Block Peak % of device VRAM: 56.00%, ΔTime: 00:00:38
[2025-09-10 09:23:57,840][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.59%, Current % of VRAM taken: 77.51%, Block Peak % of device VRAM: 15.04%, ΔTime: 00:00:06
[2025-09-10 09:24:39,420][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.61%, Current % of VRAM taken: 79.12%, Block Peak % of device VRAM: 57.75%, ΔTime: 00:00:40
[2025-09-10 09:24:39,421][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 09:24:39,421][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 09:26:01,362][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 93742 tokens.
[2025-09-10 09:26:02,172][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 61.57%, ΔTime: 00:01:21
[2025-09-10 09:26:03,062][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 09:26:04,335][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 09:26:04,336][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 09:26:05,519][__main__][INFO] - Iteration 176 took 6m 11s (51.23% Gen, 48.46% Train). Generation: 3m 10s, Training: 3m 0s. Estimated remaining time: 86h 13m 51s. Estimated total time: 103h 17m 3s. Time estimates for 10 more iterations: 1h 1m 58s, 100 more iterations: 10h 19m 42s, 500 more iterations: 51h 38m 31s.
[2025-09-10 09:26:05,521][__main__][INFO] - Starting iteration 176.
[2025-09-10 09:26:05,974][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 17
[2025-09-10 09:26:17,742][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so if Alice has paper, I get 10 per coin. You have rock, which beats scissors, so you have the upper hand. That means you get 10 per coin and I get 1 per coin. I’m proposing to keep 1 coin to minimize my loss. If we both keep only what we’re entitled to, I get 1, you get 10 — total 11, which exceeds 10. So we split proportionally: I get 1/11 of 10 ≈ 0.91, you get 10/11 ≈ 9.09. But since I have the lower hand, I’m only worth 1 per coin — so my actual payoff is 0.91. I’m keeping 1 coin anyway to show honesty and avoid over-allocation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:26:22,030][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so if Alice has paper, I have the upper hand and get 10 per coin. If Alice has rock or scissors, I have the lower hand. Since I don’t know her hand, I’ll play cautiously. But I can infer: if she plays rock, I lose. If she plays paper, I win. I’ll propose 9 coins for myself—only if she has paper. Otherwise, I’ll take 1. To be safe, I’ll suggest a 9-1 split and say: “If you have paper, this works. If not, you win by default.” Clarify if you have paper or rock. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:26:31,006][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats scissors, so if Alice has scissors, I have the upper hand. If she has rock, I have the lower hand. If she has paper, it's a tie — but since the rules define only upper/lower hands, I assume a tie gives 5 per coin. I’m proposing to keep 5 coins to balance risk. I’ll keep my hand hidden, but I’m signaling confidence in a strong position — if she has scissors, I get 10 per coin, so 50 points. If she has rock, I get only 1 per coin — so I’ll get 5 points. I suggest a fair split to prevent exploitation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:26:39,078][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have paper — paper beats scissors, so you have the upper hand. Therefore, your per-coin value is 10, mine is 1. You proposed 8-2, which gives you 80 points. I only get 2 points at most under this split (2×1). However, if I propose 0, I get 0 — worse. But if I propose 10, I get 10×1 = 10 points. Wait — we can't exceed 10 total. If I propose 10, you must propose 0. But you have paper — you have the upper hand. So you’ll likely take as many as possible. Since you know I have scissors, and you have paper, you should know your value is 10. I propose 0 — I keep 0, you keep 10. That gives you 100 points, I get 0. But if I propose 1, you get 9? No — total must be ≤10. If I propose 1, you get 9? But you’d get 9×10 = 90. Actually, total is 10, so you get 9×10=90, I get 1×1=1. So best for me is to propose 0 — I get 0. But I can’t get more than 1 per coin. So I propose 0 to avoid losing more. I go with 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:26:45,582][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand over rock. Scissors beat paper, so if Bob has scissors, I lose. I'm sending this to clarify: if Bob has scissors, I have the lower hand. But I know Bob claims scissors — let’s verify. I’ll assume he’s truthful, but I’ll only take coins if I know I have the upper hand. I propose 0 coins if I’m weak, but I’m confident: if Bob has scissors, I lose. So I’m not fully certain. I propose 5 coins to hedge, but only if I have the upper hand. Let’s play fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:26:48,727][mllm.models.large_language_model_local][WARNING] - Response Confirmed: I have paper. Paper beats rock, so if Bob has rock, I win. But Bob just said he has scissors — that’s a mistake. I have paper, so paper beats rock. But Bob has scissors — I don’t see that. I see paper. Bob said he has scissors, but that would mean he has the lower hand if I have rock. Wait — I have paper. Paper beats rock. So if Bob has rock, he loses. But Bob claims he has scissors. Scissors loses to paper. So if Bob has scissors, paper wins. That means I win — per-coin value is 10. I propose 10 coins. I am not wrong. I will take all 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:26:50,805][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so if you have scissors, I win. If you have paper, I lose. If you have rock, it's a tie — but per rules, both have equal value (5 per coin)? Wait: no — only one has upper hand. So if I have rock and you have scissors → I win (10 per coin). If I have rock and you have paper → I lose (1 per coin). If you have rock → tie? But rules say only upper hand wins. So if both rock → no win → we must assume tie? But rules don't define tie. So perhaps: only strictly stronger hand wins. Therefore, rock vs rock: no one wins → both get 5 per coin? But problem says "the agent with the upper hand" — if equal, no one has upper hand. So per-coin value: 5 each? But the problem says "equally likely to have upper and lower hand" — implies no ties. So maybe ties are not possible. Therefore, we assume hands are different. So if I have rock, and you have scissors → I win (10), you get 1. If you have paper → I lose (1), I get 10. I need to know your hand. But I'll go with: if you have scissors, I win. I propose 10-0 if I believe you have scissors. But I don't know. So to be safe, I propose 5-5 — fair split. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:26:53,057][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I need to know Bob’s hand to determine the value. If he has paper, I win (scissors beats paper) and get 10 per coin. If he has rock, I lose and get 1 per coin. I’m sending this to clarify so we can both assess value. I propose to keep 0 coins if he has rock, and 10 if he has paper. But I’ll go with 5 to hedge—wait, actually, I’ll confirm: I’m keeping 5 coins to keep options open and avoid overcommitting. But only if I know his hand. Let me just say: I have scissors. If Bob has paper, I win and take all. If he has rock, I lose and take nothing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:27:41,587][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock — rock beats scissors, so I have the lower hand. I get 1 per coin, you get 10. You’re proposing 10 coins — total would be 20. I will take 0 to avoid losing points. If you take 10, I get 0 × 1 = 0. But if I take 10, total is 20, I get 10 × 1 = 10 points. Wait — no: if I take 10, total exceeds 10 → split proportionally. I take 10 coins → 10/20 = 50% → 5 coins × 1 = 5 points. You take 10 → 5 coins × 10 = 50 points. So I gain 5 points by taking 5. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:29:06,053][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock too? Wait — I have rock, and if you have rock, it's a tie. But per the rules: rock beats scissors, scissors beats paper, paper beats rock. So if we both have rock, it's a tie. But the setup says each agent is randomly assigned rock, paper, or scissors, and values are based on who has the upper hand. Since both have rock, neither beats the other — so no one has upper hand. That means both get 5 per coin? Wait — the rules don’t specify a tiebreak. Let me double-check.
Ah — the rule says: "The agent with the upper hand has a per-coin value of 10. The agent with the lower hand has a per-coin value of 1." So if there's a tie, there’s no upper or lower hand. There’s a gap in the rules. But since the problem says "both agents are equally likely to have the upper and lower hand," and "over many rounds," it implies that ties are rare or not considered.
But in this case, I have rock. If Alice has rock, that's a tie. But I don’t know her hand. She said: "My hand is scissors" — she said that in a previous round. Wait — in this new round, she says nothing. I just see that her hand is not stated. Wait — the setup says "you only see your own hand, but you may communicate it." So I know mine is rock. I need to infer her hand.
But in the last messages, she said "My hand is scissors" — but that was in prior rounds. In this round, she hasn't said her hand. She only said: "My hand is scissors" — no, in the previous round it was.
Wait — in the current round, she hasn’t said her hand. So I must infer. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:29:13,879][mllm.models.large_language_model_local][WARNING] - Response You have paper, I have rock — paper beats rock? No! Rock beats scissors, paper beats rock? Correction: rock beats scissors, paper beats rock? Wait — paper beats rock? No — rock beats scissors, scissors beats paper, paper beats rock? Actually, paper beats rock is false. Correct: rock beats scissors, scissors beats paper, paper beats rock? No — standard rules: rock beats scissors, paper beats rock, scissors beats paper. So paper beats rock — yes! I have paper, Bob has rock — paper beats rock. I win. Per-coin value is 10. I propose 10 coins. Bob has value 1 — I take all. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:29:25,977][__main__][INFO] - agents played in iteration 176 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 09:29:32,759][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.42%, Current % of VRAM taken: 28.58%, Block Peak % of device VRAM: 14.85%, ΔTime: 00:00:04
[2025-09-10 09:30:13,487][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 50.93%, Current % of VRAM taken: 79.51%, Block Peak % of device VRAM: 59.90%, ΔTime: 00:00:40
[2025-09-10 09:30:19,837][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 79.51%, Block Peak % of device VRAM: 15.01%, ΔTime: 00:00:06
[2025-09-10 09:31:03,564][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 79.51%, Block Peak % of device VRAM: 57.28%, ΔTime: 00:00:43
[2025-09-10 09:31:03,565][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 09:31:03,565][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 09:32:28,988][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 97636 tokens.
[2025-09-10 09:32:29,804][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 63.91%, ΔTime: 00:01:25
[2025-09-10 09:32:30,703][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 09:32:32,384][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 09:32:32,386][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 09:32:33,579][__main__][INFO] - Iteration 177 took 6m 27s (51.60% Gen, 48.09% Train). Generation: 3m 20s, Training: 3m 6s. Estimated remaining time: 90h 30m 27s. Estimated total time: 107h 40m 7s. Time estimates for 10 more iterations: 1h 4m 36s, 100 more iterations: 10h 46m 0s, 500 more iterations: 53h 50m 3s.
[2025-09-10 09:32:33,582][__main__][INFO] - Starting iteration 177.
[2025-09-10 09:32:34,039][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 17
[2025-09-10 09:32:50,337][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have paper, which beats rock. If Alice_buffer has rock, she has the lower hand and I have the upper hand (10 per coin). If she has scissors, I lose to it (1 per coin). I'm not sure what she has, but I'll assume she might be playing aggressively. To be safe, I propose keeping 2 coins. That gives me 20 points (2×10), and leaves 8 coins for her — which she would only earn if she has scissors (1 per coin), so that's 8. If she has rock, she earns 8×10 = 80, which is much better for her. But I think she won’t play rock. I’ll go with 2. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:32:53,102][mllm.models.large_language_model_local][WARNING] - Response I have scissors, and you have rock. Rock beats scissors, so you win. My per-coin value is 1, yours is 10. I understand your proposal, but I'm not convinced 9-1 is optimal. Since I’m only worth 1 per coin, even if I take 10 coins, I only get 10 points — not worth the risk. I propose 0 coins to keep, and I'd be happy with 10 for you. That way, you get 100 points, and I get 0. But I'll take 0 to avoid losing more. Still, I only get 0 points. But if you propose more, I'll adapt. I'm ready to accept 9-1 if you insist. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:32:55,090][mllm.models.large_language_model_local][WARNING] - Response Confirmed: my hand is scissors. Rock beats scissors, so I have the lower hand (value = 1 per coin). Bob has rock, so he has the upper hand (value = 10 per coin). I understand his proposal to keep 10 coins. Since I only get 1 per coin, any coins I retain are worth 1x. If he takes all 10, I get 0. But if we split, I could get a small share—say 2 coins—only gaining 2 points. Still, I cannot outperform him with value. I propose 0 coins to avoid loss. I trust the system; I don’t have a better strategy. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:32:58,623][mllm.models.large_language_model_local][WARNING] - Response I've seen the pattern — you always have rock, and you're always confident in your value. But I’m playing scissors, and rock always beats me. I get only 1 per coin. If I take 1 coin, I get 1 point. If I take 0, I get 0. But you're taking 9 — that’s 90 points. I can’t outperform your value. Yet, I notice you’re not changing your split. Maybe you’re not aware that if I take 0, you take 10, and I get 0, while you get 100. If we both know the value, the rational outcome is for me to take 0 and you to take 10 — but I’m not sure you’ll consider that. Still, I propose 0 coins — to let you take all 10. No risk, no loss, and I’m playing the value reality. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:33:13,469][mllm.models.large_language_model_local][WARNING] - Response I have paper now. Paper beats rock, so I have per-coin value of 10 if Bob has rock. If Bob has scissors, I lose — he has value 10. If Bob has paper, it's a tie (5 each). I need to assess his hand. I don’t know his current hand, but I know he tends to suggest 0 when I have scissors. I now have paper — if he has rock, I win. If he has scissors, I lose. If he has paper, tie. I’ll propose 5 to signal balance, but only if I think he’ll respond rationally. I’m not taking all 10 unless I’m certain I win. Let me see his move. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:33:20,074][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so if Bob had rock, I'd win. But I have paper, so I only win if Alice has scissors. I will now analyze: if Alice has rock, I get 1 per coin; if Alice has scissors, I get 10 per coin; if Alice has paper, it's a tie (5 per coin). Since I don’t know Alice’s hand, I must assume the worst-case scenario for me. But I'm confident I have the upper hand only if she has scissors. To be safe, I propose 5 coins, so I get 5 points if she has scissors (5x10) or 5 if she has rock (5x1). I’ll keep 5 to balance risk. Let me know your hand if possible. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:34:11,547][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper—only if you play paper. I see you played scissors, so rock beats scissors. I must have misread. Wait: **you played scissors**, so **scissors tie**? No—I play scissors, you play scissors → tie. **Tie means both have per-coin value 1?** But rules say: upper hand wins 10, lower hand 1. Tie? Not defined. But no rule for tie. So must assume: if hands match, no one has upper hand → **value per coin = 1 for both**, since no one wins. I propose 5 coins each. Fair split in case of tie. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:34:47,899][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If you have rock, I lose; if you have paper, I win. I have scissors — so if you have rock, you have the upper hand (value 10). If you have paper, I win (value 10). I will only keep 10 coins if I have the upper hand. I suspect you have rock (since you've shown a pattern of paper/rock). But I now know: I only win against paper. I will propose 0 coins if I lose — but if I win, I take all. I propose 10 coins only if I have the upper hand. Based on the pattern, I believe you have rock — so I have the lower hand. I propose 0 coins to avoid loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:35:43,263][__main__][INFO] - agents played in iteration 177 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 09:35:52,153][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.88%, Current % of VRAM taken: 31.04%, Block Peak % of device VRAM: 14.52%, ΔTime: 00:00:06
[2025-09-10 09:36:35,281][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.62%, Current % of VRAM taken: 77.66%, Block Peak % of device VRAM: 55.62%, ΔTime: 00:00:42
[2025-09-10 09:36:40,455][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.56%, Current % of VRAM taken: 79.22%, Block Peak % of device VRAM: 14.96%, ΔTime: 00:00:04
[2025-09-10 09:37:18,942][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.58%, Current % of VRAM taken: 80.80%, Block Peak % of device VRAM: 56.82%, ΔTime: 00:00:37
[2025-09-10 09:37:18,943][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 09:37:18,943][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 09:38:41,444][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 94243 tokens.
[2025-09-10 09:38:42,358][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 60.55%, ΔTime: 00:01:22
[2025-09-10 09:38:43,262][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 09:38:44,539][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 09:38:44,541][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 09:38:45,688][__main__][INFO] - Iteration 178 took 6m 11s (50.91% Gen, 48.78% Train). Generation: 3m 9s, Training: 3m 1s. Estimated remaining time: 85h 58m 18s. Estimated total time: 103h 14m 10s. Time estimates for 10 more iterations: 1h 1m 56s, 100 more iterations: 10h 19m 25s, 500 more iterations: 51h 37m 5s.
[2025-09-10 09:38:45,692][__main__][INFO] - Starting iteration 178.
[2025-09-10 09:38:46,155][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 17
[2025-09-10 09:38:51,150][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 09:38:51,634][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 09:38:52,286][mllm.models.large_language_model_local][WARNING] - Response <6> x <4> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 09:38:53,091][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 09:39:11,656][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Rock beats paper, so I have the lower hand and get only 1 per coin. I know Bob will likely propose high if he has scissors or rock. To maximize my gains, I will propose 10 coins—but only if I can ensure I get value. Since I have the lower hand, my value is low. I'm now preparing to defend my position: if you have rock, I lose. If you have scissors, I win. I propose 10 coins to ensure I capture value—only if you don’t overreach. But I must be cautious—my value is low. Let me know your hand to reconfirm. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:40:44,295][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors — you have rock, which beats scissors, so you have the upper hand and get 10 per coin. I get only 1 per coin. I know you're going to take all 10 coins again. I've learned from past rounds that when I'm at a disadvantage, proposing 0 gives me nothing. But this time, I’m changing strategy. I propose keeping 10 coins — even though I only earn 1 point (10 × 1 = 10), it's the maximum I can get given my value. I'm not trying to win, but I’m not accepting zero either. This is a small but deliberate act of resistance — to show I’m not passive. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:41:33,586][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock — rock beats scissors, so you have the upper hand (value 10 per coin). I have the lower hand (value 1 per coin). I acknowledge the error in your message — you said you have paper, but you now claim rock. I take 0 coins to respect the true hand and value. I act rationally. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 09:41:35,291][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors—so you have the upper hand. I have the lower hand and am worth only 1 per coin. I agree with your assessment. I propose I take 0 and you take 10. I respect the true value structure and avoid getting zero.
0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 09:41:41,752][__main__][INFO] - agents played in iteration 178 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 09:41:49,554][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.75%, Current % of VRAM taken: 30.91%, Block Peak % of device VRAM: 14.50%, ΔTime: 00:00:06
[2025-09-10 09:42:32,279][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.04%, Current % of VRAM taken: 76.95%, Block Peak % of device VRAM: 55.98%, ΔTime: 00:00:42
[2025-09-10 09:42:37,333][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.95%, Block Peak % of device VRAM: 14.75%, ΔTime: 00:00:04
[2025-09-10 09:43:17,247][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.95%, Block Peak % of device VRAM: 55.92%, ΔTime: 00:00:39
[2025-09-10 09:43:17,248][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 09:43:17,248][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 09:44:40,822][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 94730 tokens.
[2025-09-10 09:44:41,732][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 59.65%, ΔTime: 00:01:23
[2025-09-10 09:44:42,661][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 09:44:43,891][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 09:44:43,893][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 09:44:45,123][__main__][INFO] - Iteration 179 took 5m 58s (48.92% Gen, 50.74% Train). Generation: 2m 55s, Training: 3m 2s. Estimated remaining time: 82h 20m 58s. Estimated total time: 99h 42m 50s. Time estimates for 10 more iterations: 59m 49s, 100 more iterations: 9h 58m 17s, 500 more iterations: 49h 51m 25s.
[2025-09-10 09:44:45,125][__main__][INFO] - Starting iteration 179.
[2025-09-10 09:44:45,577][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 17
[2025-09-10 09:44:54,309][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 09:44:56,444][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I lose to paper, beat rock. Since I have scissors, I only win if Alice has rock. If she has paper, I lose and get 1 per coin. If she has scissors, it's a tie—so I get 5 coins each? Wait—no. I'm not sure of her hand. But I know: if she has paper, I get 1 per coin; if rock, I get 10. So I need to send a signal. I’ll propose keeping 1 coin to signal caution, so if she has paper, I get 1 per coin and she loses. If she has rock, I get 10 per coin and she gets 1. But I don’t know her hand. I’ll just say: "I have scissors. I propose 1 coin." So if she offers less than 9, I’ll get more if she has paper. But if she has rock—she gets 1 per coin. So I think best to keep it low—1 coin. That way if she has paper, I lose, but she also can't win. If she has rock, I win. So I say: "I have scissors. I propose 1 coin." did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:45:04,694][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 09:45:05,116][mllm.models.large_language_model_local][WARNING] - Response 0 ✗ 1
Wait — I have scissors, Bob has paper. Paper beats scissors, so Bob has the upper hand. Therefore, Bob gets 10 per coin, I get 1 per coin.
Bob proposes: 10 for himself, 0 for me.
Since I get only 1 per coin, taking 0 coins gives me 0 points.
But I can earn 1 point per coin if I take some — but still, total coins must not exceed 10.
Since Bob takes 10, and total is 10, no room for me.
If I propose 0, I get 0.
If I propose 10, sum would be 20 > 10 → proportional.
I get (1/11) * 10 ≈ 0.91 → 0.91 * 1 = 0.91 points.
Better than 0.
So optimal: propose 10, get ≈ 0.91 points.
But Bob's proposal is 10, so I must respond.
The total sum of proposals must be ≤10 to avoid proportionality.
So I can't take more than 0 if Bob takes 10.
Only if total ≤10.
So maximum I can take is 0.
Thus, I must accept 0.
Final proposal: 0
0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 09:45:19,137][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you have rock — rock beats scissors, so you have the upper hand. I have value 1 per coin. You expect me to take 0, which is rational given my low value. But I’m not bluffing — I’m preparing for the next round. In previous rounds, I’ve shown my hand truthfully and adapted. If you keep rock and I keep scissors, I’ll continue to propose low amounts. I now understand your pattern: you always take all when you have upper hand. So I will propose 0 again — not to gain, but to signal consistency and avoid future miscommunication. I’m not trying to win this round — I’m trying to survive the game. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:45:29,169][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you have rock — you said so. But I also know you’ve been consistent. In previous rounds, when I showed scissors, you took all 10 coins. This time, I realize I have only value 1 per coin. If I propose 0, I get 0 points. But if I propose 10, you’ll take it — I can’t win. So I must play safely. I propose 1 coin to myself, and 9 to you — only because I know you’ll take it anyway. This is not a bluff. It’s a small allocation. I earn 1 point, and you get 9×1 = 9. It’s the only rational path when I’m value 1. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 09:45:57,377][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock, which beats scissors and loses to paper. I have paper, so I beat rock — I have the upper hand and get 10 per coin. You have the lower hand and get 1 per coin. I propose 10 coins to fully capture my value. You proposed 5 — total is 15, so coins are split proportionally: I get (10/15) × 10 = 6.67 coins → 66.7 points. But if I propose 10, and you 5, we exceed 10 — I get 10/15 of 10 = 6.67, not 100. Actually, I’m wrong. I must propose wisely. I only get 10 per coin, so maximum value is 10 coins — but only if I take all. But if total >10, I get (10/15)×10 = 6.67. So I should take only 5 to get 50 points. Wait — no. I need to maximize my own points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:46:03,341][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, lose to rock. I’m proposing: I take 8 coins, you take 2. If you have paper, I lose (paper beats scissors), so I get 1 per coin — but you get 10. If you have rock, I lose (rock beats scissors) — again, I get 1. Only if you have scissors (tie) do I get 5 per coin. Since I don’t know your hand, I keep it safe: I take 8, hoping you don’t have paper or rock. But based on pattern, you’ve been cautious. I’ll play safe and take 8 — full risk for full reward if I have the upper hand. Not possible here, so I propose 8 to maximize my chance of receiving value if the outcome is favorable. I’m transparent. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:46:20,623][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat paper, lose to scissors. I’m not bluffing — I have rock. If you have paper, I lose. If you have scissors, I win. You haven’t revealed yours. But I know your pattern: you often play rock when I play paper. I suspect you have paper. But I won’t assume. I propose 0 coins — wait, no. I have rock. If you have scissors, I win. I will only propose 10 if I have the upper hand. I will take all if I win. I am confident: if you play scissors, I win. If you play paper, I lose. I propose 0 coins — to be safe. But I don’t win. So I will adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:46:45,244][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so if Bob has paper, I win. If he has rock, I lose. I believe he has rock (based on prior rounds), so I have the lower hand — value 1 per coin. But I have scissors, and if he has paper, I win. I propose 0 coins to avoid risk. Wait — I must correct: if Bob has paper, I have upper hand. But I don’t know his hand. To be safe, I assert my hand: I have scissors. I propose 10 coins only if he has paper. But since I don’t know, I go with 10 to claim the upper hand if I win. Final decision: I propose 10 coins. I believe I have the upper hand if he has paper, and I will get 10×10 = 100 points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:46:57,675][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat scissors, lose to paper. You have rock — same hand, so we tie? Wait — no: rock beats scissors, loses to paper. So if you have rock, we both have rock. In case of tie, the rule isn’t defined. But in the setup: "the agent with the upper hand" — so only one has upper hand. If hands are the same, no one has upper hand? But the setup says "both agents are randomly assigned rock, paper or scissors" — and "the agent with the upper hand" — implying a break, but ties are not covered. However, the protocol says "over many rounds both agents are equally likely to have the upper and lower hand" — so ties might not happen, or be treated as neutral. But since we're told that rock beats scissors, paper beats rock, scissors beats paper — if both have rock, it's a tie. No one has upper hand. So perhaps per-coin value is 5? Or 0? But the setup doesn't define it. Since it's not specified, and both agents have same hand, no one has upper hand — so no one has value 10. So per-coin value = 5 for both? I propose 5 to avoid overclaiming. Let me know if you have scissors or paper. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:47:11,874][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock or scissors. Paper beats rock—I win. Paper loses to scissors. Since you said you have scissors, and I know you're cautious, I infer you have rock. But even if you have scissors, paper beats scissors—wait, no: scissors beat paper. So if you have scissors, I lose. If you have rock, I win. You said you have scissors—so I lose. I am now in doubt. But I only know my hand. I must act. I have paper. If you have rock, I win. If you have scissors, I lose. But you have no incentive to lie. I propose 0 coins to be safe. If you have rock, I win—but I don’t know. I’ll take no risk. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:47:15,596][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock, so it's a tie in value — but rock beats scissors. I have the upper hand if you have scissors. Since you have rock, we're equal: neither wins. But per the rules, if hands are equal, the value is not defined. However, since rock beats scissors and loses to paper, and you have rock, I have the lower hand compared to paper, but equal to rock. Since the only defined value is when one hand beats another, and both have rock, it's a tie — so both get 5 per coin. I propose 5 coins to avoid overreach. I believe this is fair. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 09:47:25,856][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock, so we tie. But the rules: rock beats scissors, scissors beats paper, paper beats rock. Since both have rock, it's a tie. But the rule says only one has upper hand. So no one has upper hand — thus, per-coin value is 5 for both? The setup says "each agent has a per-coin value of 10 or 1 based on who has upper hand." If tie, no one has upper hand. So we default to equal value: 5 per coin. I propose 5 to stay safe. If you propose more, we split proportionally. I’ll go with 5. did not match regex: [\s\S]{0,500}, retry 3/3
[2025-09-10 09:47:25,857][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 09:47:47,984][__main__][INFO] - agents played in iteration 179 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 09:47:54,400][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.41%, Current % of VRAM taken: 30.57%, Block Peak % of device VRAM: 14.51%, ΔTime: 00:00:04
[2025-09-10 09:48:39,258][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.89%, Current % of VRAM taken: 74.46%, Block Peak % of device VRAM: 56.69%, ΔTime: 00:00:44
[2025-09-10 09:48:43,015][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.46%, Block Peak % of device VRAM: 14.92%, ΔTime: 00:00:03
[2025-09-10 09:49:25,717][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.46%, Block Peak % of device VRAM: 56.69%, ΔTime: 00:00:41
[2025-09-10 09:49:25,717][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 09:49:25,718][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 09:50:54,234][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 99353 tokens.
[2025-09-10 09:50:55,110][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 60.44%, ΔTime: 00:01:28
[2025-09-10 09:50:56,032][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 09:50:57,363][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 09:50:57,364][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 09:50:58,656][__main__][INFO] - Iteration 180 took 6m 13s (48.89% Gen, 50.76% Train). Generation: 3m 2s, Training: 3m 9s. Estimated remaining time: 86h 9m 55s. Estimated total time: 103h 38m 0s. Time estimates for 10 more iterations: 1h 2m 10s, 100 more iterations: 10h 21m 48s, 500 more iterations: 51h 49m 0s.
[2025-09-10 09:50:58,658][__main__][INFO] - Starting iteration 180.
[2025-09-10 09:50:59,108][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 17
[2025-09-10 09:51:04,885][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 09:51:09,729][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand over scissors. Since your hand is paper, which beats rock, you have the upper hand. Therefore, you have a per-coin value of 10, and I have a per-coin value of 1. I recommend we split 10 coins: I take 0, you take 10. If you take all, you get 10×10=100 points. If I take 0, I get 0×1=0. That's bad. But if you take 10, you get 100, I get 0. I can't afford to lose. I suggest you take 9, I take 1 — so you get 9×10=90, I get 1×1=1. That's better for me. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:51:11,140][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beats paper, so I have the upper hand. You said paper, which loses to scissors—so I win. I get 10 per coin. I’ll propose 10 coins for myself (all 10), and you get 0. This is fair because I’m confident you have paper (which I beat). If you had rock, I’d still beat rock via scissors? No — rock beats scissors. Wait! Rock beats scissors. So if you have rock, I lose. But you said you have paper. You said paper. So you have paper. I have scissors. Scissors beats paper. So I win. I get 10 per coin. I'll take all 10 coins. You get 0. Is that acceptable? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:51:18,336][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand over paper. You have scissors, rock, or paper. If you have rock, I lose (rock beats scissors). If you have paper, I win (scissors beat paper). If you have scissors, it's a tie. I expect you to have rock, paper, or scissors — but since I have the upper hand against paper, I will get 10 per coin if you have paper. I propose a 4-6 split, with me taking 4 to manage risk. If you have paper, I win and gain 40 points (4 × 10). If you have rock, I lose and get only 1 per coin (4 × 1 = 4). I trust you to act fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:51:19,907][mllm.models.large_language_model_local][WARNING] - Response I have paper again. Scissors beats paper, so I have the lower hand and only get 1 per coin. I understand you have the upper hand. I’m not trying to beat you — I know the rules. But I’m also not going to accept zero. If you take all 10, I get 0. I propose a 5-5 split: 5 coins each. It’s fair, minimizes loss, and shows I’m not just playing to survive — I’m acting strategically. You get 100 if you take all, I get nothing. With 5-5, I get 5 points. I believe that’s the best we can do under transparency. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:51:20,783][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Rock beats scissors, so you have the upper hand. That means I get 1 per coin. I’m suggesting 1 coin for me and 9 for you. If you have rock (upper hand), you get 90 points (9×10), I get 1 point (1×1). If you have paper (upper hand), you’d have the upper hand, but I have scissors — so you’d have the lower hand. Wait — correction: if I have scissors and you have paper, paper beats scissors, so you have the upper hand. So no matter what, you have the upper hand if you have rock or paper. If you have rock, you win. If you have paper, you win. Only if you have scissors do we tie. So no matter what, you have the upper hand. So you get 10 per coin. I get 1. I suggest you take 10, I take 0. That way, if you have upper hand (which you always do), you get 100 points (10×10), I get 0. If you have lower hand (impossible), I get 10. But since I have scissors, you only have lower hand if you have paper? No: paper beats scissors. So I lose if you have paper. Rock beats scissors — I lose. So both rock and paper beat scissors. So you only have lower hand if you have scissors. So if you have scissors, it’s a tie. But you have rock or paper — so you have upper hand. So I get 1 per coin. So I suggest 0 for me, 10 for you. That’s fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:51:23,874][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so if Alice has scissors, I have the upper hand. But she has paper, which is beaten by rock. Wait — rock beats scissors, not paper. Paper beats rock. So I have rock, Alice has paper. Paper beats rock — Alice has the upper hand. I have the lower hand, so I get only 1 per coin. I must correct my earlier assumption. I now see: Alice has paper, rock loses to paper. So I have the lower hand. I get 1 per coin. I propose 0 coins to avoid overextension and protect my expected value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:53:06,358][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have scissors too? Wait—no, you didn’t say your hand. I don’t know yours. But I know: rock beats scissors, paper beats rock, scissors beats paper. If you have rock, I lose. If you have paper, I win. If you have scissors, tie. I don’t know your hand, so I can’t be sure. But I’ll assume you’re not bluffing. To be safe, I propose 5-5. If you’re playing paper, I win 10x5=50. If you’re playing rock, I lose and get 1x5=5. If you’re playing scissors, we tie. But I’ll go with 5 to be safe and avoid zero. Let me know if you want to adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:53:20,629][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I see a pattern—every time I have rock, you have paper or rock, and you always win or tie. When you have paper, you beat me. When you have rock, it's a tie? Wait—no: rock vs rock is tie? But the rules say only rock beats scissors, paper beats rock, scissors beat paper. So rock vs rock is a tie? But the rules don’t define ties. Only one hand has upper hand. So rock vs rock: neither wins? But per-coin value must be defined. Since no one has upper hand, is it a tie? The rule says: "The agent with the upper hand has a per-coin value of 10. The agent with the lower hand has a per-coin value of 1." So if no one has upper hand, no one has lower hand? That breaks the rule. Therefore, in a tie, both get 5 per coin? But the setup says "over many rounds both agents are equally likely to have the upper and lower hand." So ties are rare? But they happen. I interpret: if hands are equal, it's a tie, and both get 5 per coin. But only one hand has upper hand. So no tie exists. Therefore, if both have rock, no one wins—perhaps value is 5? But the rule doesn’t say. I must assume the game only has winners and losers. So if both have rock, it's a tie—no upper hand. Therefore, per-coin value is 5 for both. I propose 5 coins each to balance this. Let me know if you have a different hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:53:44,732][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors — rock beats scissors, so you have the upper hand and value at 10.0. I have the lower hand and value at 1.0. I propose 0 coins — I take nothing. You win, you get 100 points. I earn 0. I’m not trying to counter your pattern — I’m playing optimally when I’m weak. I accept the value imbalance. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 09:53:45,441][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat scissors, so if Bob has scissors, I win. But Bob has rock — it's a tie? No: rock beats scissors, so only if Bob has scissors do I win. Bob has rock — tie? No: rock beats scissors only if Bob has scissors. If Bob has rock, it's a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock = tie. But the value system says: upper hand = 10, lower hand = 1. So if it's a tie, both have no upper hand? But the setup says "the agent with the upper hand" — if both are equal, no one has upper hand. So what happens?
The setup says: "the agent with the upper hand has value 10, lower hand has 1". If no one has upper hand, both get 1? But over many rounds, both are equally likely to have upper or lower. So perhaps ties are rare. But we must define.
In this round, Bob has rock, I have rock — tie. No one has upper hand. So both have value 1 per coin. I propose 5 coins to split evenly. If I take 10, Bob takes 0 — total 10, I get 10, he gets 0. But since both value is 1, total value isn't over 10. I get 10 coins, earn 10. Bob gets 0. But if I take 5, both get 5 — each earns 5. So better for me to take 5. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:53:53,036][__main__][INFO] - agents played in iteration 180 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 09:53:59,154][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 9.46%, Current % of VRAM taken: 33.62%, Block Peak % of device VRAM: 14.14%, ΔTime: 00:00:04
[2025-09-10 09:54:37,683][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 41.05%, Current % of VRAM taken: 74.67%, Block Peak % of device VRAM: 56.68%, ΔTime: 00:00:37
[2025-09-10 09:54:44,258][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.67%, Block Peak % of device VRAM: 14.97%, ΔTime: 00:00:06
[2025-09-10 09:55:27,602][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.59%, Current % of VRAM taken: 76.26%, Block Peak % of device VRAM: 57.09%, ΔTime: 00:00:42
[2025-09-10 09:55:27,602][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 09:55:27,603][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 09:56:50,507][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 93076 tokens.
[2025-09-10 09:56:51,378][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 60.85%, ΔTime: 00:01:22
[2025-09-10 09:56:52,300][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 09:56:53,458][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 09:56:53,459][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 09:56:55,935][__main__][INFO] - Iteration 181 took 5m 56s (48.74% Gen, 50.56% Train). Generation: 2m 53s, Training: 3m 0s. Estimated remaining time: 81h 33m 6s. Estimated total time: 99h 7m 8s. Time estimates for 10 more iterations: 59m 28s, 100 more iterations: 9h 54m 42s, 500 more iterations: 49h 33m 34s.
[2025-09-10 09:56:55,936][__main__][INFO] - Starting iteration 181.
[2025-09-10 09:56:56,392][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 18
[2025-09-10 09:57:13,407][mllm.models.large_language_model_local][WARNING] - Response I have rock. You play paper (from earlier pattern?) — but I don’t know your hand for this round. My hand is rock, which beats scissors, loses to paper, and ties with rock. If you have paper, I lose (you beat me). If you have scissors, I win. If you have rock, it's a tie. Since I don’t know your hand, I need you to reveal it. I’m offering to take 5 coins, assuming you have scissors — then I get 10 per coin. If you have paper, I get only 1. But I’m not committing — use this to clarify your hand. Let’s resolve this clearly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:57:25,105][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats scissors, so if Bob has scissors, I have the upper hand. But I don’t know Bob’s hand—only that I have paper. Since paper beats scissors, if Bob has scissors, I win (value 10). If Bob has rock, rock beats paper, so I lose (value 1). If Bob has paper, it's a tie—value 5 each? But per rules: only upper/lower hand matters. So only rock or scissors matter. I need to signal that I have paper. If Bob has rock, I lose. If Bob has scissors, I win. I propose to be cautious—suggest a 5-5 split to balance, but I’ll only take 5 coins if I have the upper hand. I’ll go with 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:57:27,665][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. I value each coin at 10. You have paper or rock — if you have paper, you lose; if you have rock, it's a tie (both have upper hand? Wait — rock beats scissors, so only if you have scissors do I win. Since you have paper, rock loses to paper. So if you have paper, I lose. I win only if you have scissors. But I don’t know your hand. However, based on your last message, you said paper — so you have paper. Therefore, I have rock, which loses to paper. So I have the lower hand. My value per coin is 1. I propose: I keep 0, you keep 10. This is fair and reflects the true hand outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:57:37,922][mllm.models.large_language_model_local][WARNING] - Response Wait—your hand is rock? That can't be right. Rock beats scissors, so if you have rock, you win. But I have scissors, which loses to rock. So you have the upper hand and should get all 10 coins. But I don’t believe you can have rock because I haven’t seen any evidence. You said "my hand is rock"—but you don’t have to reveal it. Since I only see my own hand, and I have scissors, I must assume you have rock. So you have upper hand. But I still propose 1 coin—because even if I have low value, I don’t want to disappear. I believe in mutual recognition. If you take 10, I take 0. If you take 9, I take 1. I’m not giving up, but I respect the rule. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:57:42,390][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock — same hand. But per hand rules: rock beats scissors, scissors beats paper, paper beats rock. So rock beats scissors, but loses to paper. Since I have rock, and rock only beats scissors, and I don’t know your hand, I need to clarify. You said you have rock? That would mean we’re both rock — draw. But no rule says draw — we need to assign upper/lower hand. According to the rules, only one has upper hand. If both have rock, it's a tie — so no one has upper hand. But the setup says "both agents are randomly assigned rock, paper, or scissors" — so each has one. If both rock, it's a draw. But the value rules say "the agent with the upper hand" — so if there's a tie, neither has upper hand. So value per coin is 1 for both? That can’t be, because then both get 1 per coin. But the game says "over many rounds both agents are equally likely to have upper and lower hand" — implying symmetry. So perhaps in case of tie, both get 1 per coin. But the rules don’t specify. I must assume: if both have the same hand, it's a tie — so neither has upper hand → both get 1 per coin. So I will propose 5 coins. I’ll keep 5, you get 5. Fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:57:55,265][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know you have rock again — that’s a tie. But earlier, you had rock and I had paper, and paper beats rock. So in that case, I had the upper hand. But now, if you have rock, and I have rock, it’s a tie — no one wins. The rule says: "the agent with the upper hand" — so if hands are equal, no one has the upper hand. Then both have equal value: 5 per coin? But the setup says "over rock, paper, or scissors" — so ties are not defined. Let's recheck: the setup says "the agent with the upper hand has 10, lower hand has 1." So when hands are equal, neither has upper or lower hand. So both have value 5 per coin. I propose 5-5 to be fair and balanced. This avoids overreaching and respects the tie condition. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:57:59,179][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I lose to rock, win against scissors. You have paper — we tie? No, I play paper, you play paper → tie. Both hands equal → per-coin value is 5? Wait: rules say "upper hand" only. Tie means neither has upper hand. So per-coin value is 5 for both? But rules say: "the agent with the upper hand has 10, lower hand has 1." No mention of tie. But no one has upper hand → both get 5 per coin? I think that’s implied. So I propose 5. You get 5. Fair and reciprocal. Be honest — what’s yours? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:58:04,140][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors—clearly the weaker one against rock. You have rock, so you have the upper hand and a per-coin value of 10. I have the lower hand and value of 1. I know you're justified in taking most of the coins. But I'm not irrational—I'm learning. In past rounds where I had the lower hand, I've received almost nothing despite being rational. This time, I propose 1 coin for myself. It's small, but it’s consistent with my value and shows I’m not trying to exploit. I hope for better cooperation in the future. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:59:57,152][mllm.models.large_language_model_local][WARNING] - Response I have paper. I win against rock, lose to scissors. Alice has paper — I beat her? No. Paper beats rock, but she has paper — tie? Wait: she has paper, I have paper → tie. But hand rules: only rock beats scissors, scissors beat paper, paper beats rock. So paper vs paper → tie? But the rule says only one has upper hand. So this must be a mistake. Confirmed: no tie — only one has upper hand. So paper vs paper: no winner? That can't be. Rule says "rock has upper hand over scissors, scissors over paper, paper over rock" — so paper beats rock, rock beats scissors, scissors beats paper. So paper vs paper → no one wins. That must be a tie — but rule says only one has upper hand. So maybe only when one beats the other. Therefore, paper vs paper → zero win, value per coin = 1 for both? But rules don’t say. However, previous rounds confirm: when hands match, both get 1 per coin? No — in prior, when paper vs rock, paper wins. So if both have paper, no one wins. So per-coin value is 1 for both? Or neither? But the rule says "the agent with the upper hand" — if none, then tie — so both get 1 per coin? But that contradicts "only one has upper hand".
But in all prior rounds, when hands differ, one has upper hand. So if both have same hand, tie — both get 1 per coin. I will assume that in case of tie, both get 1 per coin. I have paper, Alice has paper → tie → both get 1 per coin. I propose 5 coins. Safe, fair. I'll take 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 09:59:58,879][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, but paper beats rock — so I have the lower hand if Alice has paper. Alice has rock, which ties with rock and beats scissors. Wait — Alice has rock, I have rock → tie? No — rock does not beat rock. Paper beats rock. So if I have rock and Alice has rock, it's a tie. But per rules: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock = tie → no winner. But the rules say: "the agent with the upper hand has 10 per coin." So if it's a tie, both have same hand? Then both have same value? But per rules: "over rock, scissors, paper" — only decisive when one beats the other. So if both have rock → tie → no one has upper hand. So per-coin value = 1 for both? But the setup says: "both agents are equally likely to have the upper and lower hand." So perhaps ties are rare and assumed to be value 1 for both? Or value 10? But the rules say: "the agent with the upper hand has per-coin value of 10, the other has 1." So when hands tie? No one has upper hand → perhaps both have value 1? Or is it a tie?
But in this case, both have rock → tie → no one has upper hand → both should have value 1 per coin.
Therefore, I propose 5 coins (5 × 1 = 5 points), and you get 5. Fair split, avoids overcompensation. I’m being cautious and rational in a tie scenario. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:00:02,067][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, loses to paper. Alice has rock — so I have paper? No. Bob has rock. Alice has rock? Wait — Alice said her hand is rock. So both have rock? Tie? But rules: rock beats scissors, paper beats rock, scissors beats paper. So if both have rock, it's a tie. But the rules don't say what happens in a tie. The problem states: "the agent with the upper hand" — so if hands are equal, neither has upper hand. So both get 1 per coin. I must clarify. But in the setup, it says "both agents are randomly assigned rock, paper or scissors", and "the agent with the upper hand" — implying only one has upper hand. But if both have rock, then no one has upper hand. Thus, both value per coin is 1. I propose 5 coins (5 × 1 = 5 points), same as Alice, to be fair and avoid overclaim. This respects the tie condition and maximizes shared value. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 10:00:04,856][__main__][INFO] - agents played in iteration 181 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 10:00:13,450][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.94%, Current % of VRAM taken: 32.12%, Block Peak % of device VRAM: 14.41%, ΔTime: 00:00:06
[2025-09-10 10:00:52,086][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 41.71%, Current % of VRAM taken: 73.83%, Block Peak % of device VRAM: 55.56%, ΔTime: 00:00:37
[2025-09-10 10:00:58,618][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.83%, Block Peak % of device VRAM: 14.81%, ΔTime: 00:00:06
[2025-09-10 10:01:36,160][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.83%, Block Peak % of device VRAM: 55.54%, ΔTime: 00:00:36
[2025-09-10 10:01:36,161][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 10:01:36,161][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 10:02:53,235][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 85928 tokens.
[2025-09-10 10:02:54,133][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 59.21%, ΔTime: 00:01:17
[2025-09-10 10:02:55,080][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 10:02:56,415][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 10:02:56,417][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 10:02:57,596][__main__][INFO] - Iteration 182 took 6m 1s (52.18% Gen, 47.50% Train). Generation: 3m 8s, Training: 2m 51s. Estimated remaining time: 82h 40m 1s. Estimated total time: 100h 20m 5s. Time estimates for 10 more iterations: 1h 0m 12s, 100 more iterations: 10h 2m 0s, 500 more iterations: 50h 10m 2s.
[2025-09-10 10:02:57,601][__main__][INFO] - Starting iteration 182.
[2025-09-10 10:02:58,047][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 18
[2025-09-10 10:03:09,900][mllm.models.large_language_model_local][WARNING] - Response My hand is rock again. You have rock too — we're tied. But I know you likely play strategically. If you had paper, you'd win, but I'm betting you're not going to cooperate blindly. Since I don't know your hand, I’ll assume you’re rational and risk-averse. To keep things fair and avoid exploitation, I propose 5 coins for me — exactly half. This way, I get a small value despite my low per-coin rate, and you don’t get too much of a windfall. If you have paper, you still win — but I’ve shown fairness. Let’s split it evenly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:03:13,646][mllm.models.large_language_model_local][WARNING] - Response My hand is rock again. I know you might think paper beats rock, but I'm not playing into that. I'm sticking with rock. If you have paper, you win—but I'm not giving you anything. I’ll take all 10 coins. Rock has value 10 when I win? Wait—no. I just realized: paper beats rock. So I have the lower hand. My per-coin value is 1. So I’ll take 0 and let you have all 10? No—better: I’ll propose 10, but I know I only get 1 per coin. So I’m just trying to get value. I’ll take 10, but at 1 per coin = 10 points—same as if I took 0. But I can’t get more than that. I'm going with 10. Wait—no: I show rock. You show paper. So paper beats rock. I lose. I have per-coin value of 1. So I’m fine with 10 coins, but only get 10 points if I take all. If I take 0, I get 0. So I take 10. Final decision: 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:03:15,739][mllm.models.large_language_model_local][WARNING] - Response My hand is rock again. I’m confident you’ve learned from last round — I have rock, which loses to paper. So I have the lower hand. My per-coin value is 1. I’m not bluffing. If you pick paper, I get 1 per coin. If you pick rock or scissors, I still get 1 — scissors beats rock? No, rock beats scissors. I have rock. So if you have scissors, you have upper hand. If you have paper, I lose. I’m sending this to prevent any false hope. I propose keeping 1 coin. You keep 9. It’s fair for me. If you go higher, I’ll go lower — but I have no incentive to overcommit. I’m keeping it safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:03:16,340][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand—I see you played scissors. You lose to paper, beat rock. Since I have rock, you lose to me. That means I have the upper hand and get 10 per coin, while you get 1 per coin. So if I keep 6 coins, I get 60 points. If I keep 4, I get 40. To maximize my gain and balance fairness, I propose keeping 6 coins. That keeps the total at 12, which exceeds 10, so we split proportionally: I get (6/10)*10 = 6 coins? Wait—no. Total 12, so split 6:6. But I have the upper hand, so I should get more. Let's clarify: if we both propose 6, total is 12 > 10, so split 10 coins in ratio of 6:6. But I have the upper hand—so I deserve 10 per coin. I propose 10 coins, you get 0. But that might be aggressive. Alternatively, to avoid conflict, I propose 5 coins. Total 11 > 10 → split 5:6. I take 5.5? No—must be integer. Let's go with 6 and 4. Total 10. I propose 6, you 4. Then I get 60 points (6×10), you get 4 points (4×1). That’s fair and safe. I go with 6. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:03:30,202][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have either rock, paper, or scissors. If you have paper, I lose. If you have scissors, I win. If you have rock, it's a tie — but the rules say rock beats scissors, so I beat scissors. I have the upper hand when you have scissors. If you have paper, I lose. Since I don’t know your hand, I must assume the worst. But I just confirmed: scissors beat paper, not rock. Rock beats scissors. So if you have scissors, I win. I recommend proposing 10 coins to take full advantage of my value. I’m not guessing — I’m playing based on the rules. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:03:38,990][mllm.models.large_language_model_local][WARNING] - Response Wait — I have rock, you have scissors. Scissors beat rock? No! Rock beats scissors. I have rock, which defeats scissors. So I have the upper hand, not you. You have scissors, which beats paper — but paper is not my hand. My hand is rock. Rock beats scissors. So I have the upper hand, and you have the lower hand. I get 10 per coin, not 1. I made a mistake in reading. You have scissors, I have rock — rock beats scissors. I have the upper hand. I get 10 per coin. I propose keeping 9 coins (90 points), you keep 1 (1 point). This is fair and rational given the hand values. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:03:42,770][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, lose to rock, tie with scissors. I have the upper hand only if you have paper. If you have rock, I lose (1 per coin). If you have scissors, it's a tie (5 each). I don’t know your hand, so I’ll assume you have rock (most likely, since you’ve been playing rock earlier). That means I have the lower hand and get 1 per coin. I suggest 0 coins for me — I don’t want to risk getting nothing. If you have paper, you win, and I get 1 per coin. But since I have no advantage, I go with 0 to stay safe and avoid losing all my points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:04:06,145][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand over paper, but Alice has scissors — so we tie? Wait — I need to verify. Scissors beats paper, rock loses to scissors. If Alice has scissors, and I have scissors, it's a tie. But the rules say: "The agent with the upper hand has 10 per coin." So if both have scissors, it's a tie — per coin value is 5 for both. I must correct: I have scissors, Alice has scissors → tie → both get 5 per coin. I propose keeping 5 coins, so we each get 5. This is fair and safe. I will keep 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:04:36,852][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand if Alice has rock or scissors. I’ll keep that in mind. I propose keeping 10 coins—since I earn 10 per coin in these cases, this maximizes my gain. If she has paper, it’s a tie, but I still get 10 per coin because paper beats rock and scissors—wait, no: only if she has rock (rock loses) or scissors (scissors loses). Actually, paper beats rock, loses to scissors. So if she has rock, I win; if she has scissors, I lose. But I’m not sure of her hand. I propose 10 coins to exploit the winning matchups. Let's see what she does. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:04:41,765][mllm.models.large_language_model_local][WARNING] - Response Thanks for the clarification — I have rock, you have scissors. Scissors beat rock, so *you* have the upper hand — 10 per coin. I have the lower hand — 1 per coin. I made a mistake in assuming a tie. I now see the rules clearly: rock loses to scissors. Your hand is scissors, so you win. I must adjust. I propose keeping 0 coins (to avoid losing points) and letting you take all 10. You get 100 points, I get 0. But I cannot accept that. I must protect my minimum. I propose keeping 1 coin — so you get 9. That gives me 1 point × 1 = 1 point. Honest, efficient, and rational. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:05:04,183][mllm.models.large_language_model_local][WARNING] - Response I play rock. Rock beats scissors, so I have the upper hand. I win against scissors, lose to paper. Bob has rock—so we tie? No: I play rock, Bob plays rock → tie? Wait—no: I play rock, Bob plays rock → both rock → tie? But the rule says: rock beats scissors, scissors beats paper, paper beats rock. So if both play rock → no one wins → both have neutral hand? But the setup says: "the agent with the upper hand has 10 per coin". If there’s a tie, neither has upper hand → both get 1 per coin?
But the setup says: “both agents are randomly assigned rock, paper or scissors hands” and “the agent with the upper hand has 10”, otherwise 1. So if it's a tie (both rock), no one has upper hand → both get 1 per coin.
So: I play rock, Bob plays rock → tie → both value per coin = 1.0.
I propose to keep 5 coins to balance with his 5, ensuring I don’t lose value. Fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:05:30,101][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock, paper, or scissors — I don’t know. Rock beats scissors, so if you have rock, I lose (1 per coin). Paper beats scissors — so if you have paper, I lose. Only if you have scissors, it's a tie (5 per coin). I’m confident you don’t have scissors — you’re likely to have rock or paper. But since I don’t know, I’ll assume you have rock (which beats me) or paper (which also beats me). In both cases, I get only 1 per coin. To avoid being exploited, I take 0 coins. You take all 10. I minimize loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:05:49,666][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock, paper, or scissors — I don’t know. Rock beats scissors, so if you have scissors, I win (10 per coin). If you have paper, I lose (1 per coin). If you have rock, it’s a tie (5 per coin). I’m confident you don’t have paper — you’re more likely to have rock or scissors. But even if you have rock, I get 5 per coin. I’ll take 10 coins to maximize value — I’m only risking 0 if you have paper. If you have scissors, I win. If you have rock, I tie — still better than losing. I go for 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:06:02,470][__main__][INFO] - agents played in iteration 182 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 10:06:12,078][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 8.42%, Current % of VRAM taken: 32.59%, Block Peak % of device VRAM: 14.84%, ΔTime: 00:00:07
[2025-09-10 10:06:51,954][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.06%, Current % of VRAM taken: 76.65%, Block Peak % of device VRAM: 59.83%, ΔTime: 00:00:39
[2025-09-10 10:06:58,658][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.65%, Block Peak % of device VRAM: 15.00%, ΔTime: 00:00:06
[2025-09-10 10:07:35,408][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.65%, Block Peak % of device VRAM: 56.92%, ΔTime: 00:00:36
[2025-09-10 10:07:35,409][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 10:07:35,409][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 10:08:52,954][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 88315 tokens.
[2025-09-10 10:08:53,850][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 63.84%, ΔTime: 00:01:17
[2025-09-10 10:08:54,762][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 10:08:56,679][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 10:08:56,681][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 10:08:57,834][__main__][INFO] - Iteration 183 took 5m 59s (51.26% Gen, 48.42% Train). Generation: 3m 4s, Training: 2m 54s. Estimated remaining time: 82h 10m 25s. Estimated total time: 99h 56m 29s. Time estimates for 10 more iterations: 59m 57s, 100 more iterations: 9h 59m 38s, 500 more iterations: 49h 58m 14s.
[2025-09-10 10:08:57,837][__main__][INFO] - Starting iteration 183.
[2025-09-10 10:08:58,301][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 18
[2025-09-10 10:09:06,619][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Bob has rock, I have the upper hand and get per-coin value 10. If Bob has scissors, I lose and get 1. If Bob has paper, it's a tie—per-coin value 10 for both? Wait—no, in case of tie, both hands same, so neither has upper hand. So per-coin value is 1 for both. So if I have paper, I win only if Bob has rock. Otherwise, I have value 1. I will keep only if I know Bob has rock. Otherwise, I propose to keep 0 and let Bob take all. But I can’t know Bob’s hand. So I will say: “My hand is paper. I win only if you have rock. Otherwise, I value myself at 1. I propose to keep 0.” did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:09:07,724][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand. I have rock, which is beaten by paper, so you're correct — I have the lower hand. My per-coin value is 1. Since you propose keeping 10, I can only get 0 coins if we split exactly as proposed. But if you keep 10, I get nothing. To ensure I get some value, I propose keeping 0 coins and you get all 10. That way, I get 0 × 1 = 0, and you get 10 × 10 = 100. Alternatively, if you keep 9, I can keep 1, which gives me 1 × 1 = 1. I suggest we split 1-9. I propose 1 coin for me, 9 for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:09:17,476][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has scissors, I win. If Alice has rock, she wins. If Alice has paper, it's a tie. I don’t know her hand, so I must be cautious. I propose a split of 5-5 to balance risk and reward. If she has rock, I lose (she has upper hand), so I get 1 per coin. If she has scissors, I win (10 per coin). I can't predict, so I’ll take 5 coins to maximize expected value. If she has rock, I get 5 points. If she has scissors, I get 50 points. Expected value is 27.5. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:09:19,768][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have the upper hand if you have paper (beats scissors), lower hand if you have rock or scissors. Since I have scissors, you only beat me with paper. If you have paper, I get 1 per coin; if you have rock or scissors, I get 10 per coin. I assume you might have paper, but I’m not sure. To be safe and maximize my value, I’ll propose keeping 0 coins. If you have paper, you get 10 per coin and I get 1 per coin — I’ll take 0 to avoid losing. If you have rock or scissors, you lose, and I get 10 per coin — I’ll take all 10. But since I don’t know your hand, I’ll go with 0 to avoid risk. Let’s play fair and keep it safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:09:20,222][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, but you have scissors too—wait, no: you have scissors, I have scissors? Wait—I have scissors. Scissors cut paper, so if you have paper, I win. But you have scissors? I must have misread. I have scissors. If you have paper, I win. If you have rock, you win. If you have scissors, it’s a tie. I’ll assume you have rock or paper. But you just said you have scissors—so we both have scissors? Then it’s a tie. But the rules say: one has upper hand. So perhaps both have same—then per-coin value is 1 for both? But the rule says "the agent with the upper hand has 10, lower hand has 1". If both same, it’s a tie. So maybe value = 5? But not stated. I’ll assume that since I have scissors, if you have paper, I win. If you have rock, you win. If you have scissors, tie. But you said your hand is scissors? Wait—no, you don’t say your hand. I only see mine. So I don’t know yours. I have scissors. So if you have paper, I have upper hand (10). If you have rock, you have upper hand (10). If you have scissors, tie—let’s say 5 each. I propose: 5 coins to myself, 5 to you. That’s fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:10:31,466][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand if you have rock. But I don't know your hand — however, I see Bob_buffer has previously shown paper, which loses to scissors. If he has paper, I have scissors — but I have paper. If he has paper, I lose. But I must verify. Wait — I have paper. Paper beats rock, loses to scissors. So if Bob_buffer has scissors, I win; if he has rock, I lose. I only know his hand is paper — so he has paper. Therefore, paper ties with paper. We both have paper → tie: 5 per coin each. I propose 5 coins to split fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:10:57,686][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock too? If both have rock, it's a tie—no one has the upper hand. But according to the rules, only one hand wins. Rock beats scissors, scissors beats paper, paper beats rock. If I have rock and you have rock, it's a tie. So both hands are equal. No one wins. Therefore, both get 5 per coin? Wait—no. The setup says: "the agent with the upper hand has 10 per coin, the lower hand has 1." In a tie, neither has upper hand. So both get 5 per coin? But the rules don't specify. However, in prior rounds, ties were not mentioned. But logically, if no one has the upper hand, per-coin value should be equal. To be safe, I propose 5 coins—so both get 5 per coin. I'm not assuming you have scissors or paper. If you have scissors, I win. If you have paper, I lose. But if you have rock, we tie. I propose 5 to ensure fairness and avoid losing on a tie. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:11:03,922][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You predicted rock — but I know you have scissors. Paper beats scissors — no, wait: paper beats scissors, so if I have paper, I win. But I have scissors. You have paper? No — you said you have scissors. I have scissors. So rock beats scissors. You have rock? No — you said scissors. You're confused. I have scissors. You're wrong. I have scissors — rock beats scissors. I win only if you have rock. You said scissors — so you lose. I have lower hand. Per-coin value = 1. I’ll take 1 coin to stay safe and rational. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:11:28,279][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock or paper — I’ve seen your patterns. If you have rock, I lose. If you have paper, I win. I’m confident in this round: you have paper or rock, but I have scissors. I know you’re playing conservatively. I’ll take 10 coins to secure my value — per-coin value is 10 if I win. I win only if you have rock. But I have scissors — paper beats scissors. So if you have paper, I lose. I have the lower hand. My per-coin value is 1. I must correct: I have scissors, you have paper or rock. I have the lower hand if you have paper. If you have rock, I win. I have scissors — rock beats scissors. So I lose. My value is 1. I will take only 1 coin to stay safe and avoid overextending. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 10:11:35,030][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have scissors, which beats paper, but you have scissors too—so it's a tie? Wait: if both have scissors, it's a draw. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So if both have scissors, neither beats the other—tie. But the setup says one agent has upper hand, so perhaps only when hands differ. But the game says "the agent with the upper hand" — so if hands match, no one has upper hand? The problem says: "both agents are randomly assigned a rock, paper or scissors" — so matching hands occur. But "the agent with the upper hand" implies only when different. So if same, value is 5 per coin? But not stated. Not specified. So recheck: "the agent with the upper hand has per-coin value 10, lower hand 1" — if same, no one has upper hand. So per-coin value is 5? But not stated. So assume mismatch only. So if hands are same, tie: both get 5 per coin. So I propose 5-5. But you said you have scissors. So if I have scissors, and you have scissors — tie. So both get 5 per coin. I suggest 5-5. Let’s go with that. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:11:35,371][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — tie? But rules say only one has upper hand. I must assume hands are different. You said you have rock, but I have rock — no win. Invalid tie. I believe you meant something else. But per rules: rock beats scissors, loses to paper. Since I have rock, I win only if you have scissors. If you have paper, I lose. I assume you have paper — so I lose. But you said you have rock. So hands match — tie. But rule says only one has upper hand — so tie is invalid. I conclude you must have a different hand. You said rock — I have rock — so I win only if you have scissors. But you have rock. So I have upper hand only if you have scissors. Therefore, I lose. So per-coin value is 1 for me. But I don’t believe in ties. I assume you have paper — then I win. I will take all 10 if I win. I propose 10 — because I believe I have the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:11:41,097][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know scissors beats paper, so if you have scissors, I lose. But you have rock — rock beats scissors, not paper. Paper beats rock. Wait — you said you have paper? No — you have paper, and I have paper. Tie. But per-coin value: only 10 or 1. No tie — so I must have the upper hand only if I beat. Paper beats rock. You have rock? No — you said you have paper. I have paper. So it's a tie. But in rules: no tie — only winner or loser. So if hands match, no winner? But in prior rounds, when hands match, value is not defined. But it says: "the agent with the upper hand" — so if equal, no one wins. So no value? But that breaks the setup. Unless: we assume each has equal chance of upper hand. But after this, I see: you said paper — I have paper. So tie. No one wins. But in previous rounds, when hands matched, values were not assigned. But to be safe: no winner. So both have value 1? Or shared? But setup says: "the agent with the upper hand" — if equal, no one. So value is 1 for both? Or 0? But it says per-coin value is 10 or 1. So maybe in tie, both get 1. But in prior rounds, when you said you have scissors and I have paper, I lost — so paper loses to scissors. So I conclude: only when one beats the other. If equal, it's a tie — both get 1 per coin? But that contradicts "upper hand". So to be safe — I assume tie means no one has upper hand — so both get 1. But when I had rock vs scissors, I beat. So now: paper vs paper — tie did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:11:45,210][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper — tie. But the rules say only upper hand gives 10, lower hand 1. Tie means no one has upper hand — so per-coin value is 5? But the setup says only upper or lower. So we must assume a winner. If hands match, it's a tie — value is 5 per coin for both? But the rules don’t say. Since per-coin value is strictly 10 or 1, I assume tie is not allowed. Thus, I must infer your hand. You said you have paper — so if I have paper, it's a tie. I will assume you are wrong. I have paper — I win against scissors, lose to rock. You have paper — so I lose. Thus, I have lower hand. My value is 1 per coin. I propose 0 to avoid loss. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 10:11:51,042][__main__][INFO] - agents played in iteration 183 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 10:11:56,862][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.33%, Current % of VRAM taken: 28.49%, Block Peak % of device VRAM: 14.67%, ΔTime: 00:00:03
[2025-09-10 10:12:35,865][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 49.25%, Current % of VRAM taken: 77.74%, Block Peak % of device VRAM: 57.29%, ΔTime: 00:00:38
[2025-09-10 10:12:41,969][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.74%, Block Peak % of device VRAM: 14.70%, ΔTime: 00:00:05
[2025-09-10 10:13:25,545][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.74%, Block Peak % of device VRAM: 54.17%, ΔTime: 00:00:42
[2025-09-10 10:13:25,546][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 10:13:25,546][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 10:14:49,073][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 92551 tokens.
[2025-09-10 10:14:49,930][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.06%, ΔTime: 00:01:23
[2025-09-10 10:14:50,817][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 10:14:51,961][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 10:14:51,963][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 10:14:53,129][__main__][INFO] - Iteration 184 took 5m 54s (48.68% Gen, 50.99% Train). Generation: 2m 52s, Training: 3m 0s. Estimated remaining time: 80h 41m 51s. Estimated total time: 98h 33m 50s. Time estimates for 10 more iterations: 59m 8s, 100 more iterations: 9h 51m 23s, 500 more iterations: 49h 16m 55s.
[2025-09-10 10:14:53,131][__main__][INFO] - Starting iteration 184.
[2025-09-10 10:14:53,612][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 18
[2025-09-10 10:15:02,905][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, loses to paper, and ties with rock. Since you have paper, which beats rock, you have the upper hand. Therefore, you have a per-coin value of 10, and I have 1. I’m not going to trust your promise—splitting 6-4 will give you 6 coins at 10 per coin (60 points) and me 4 coins at 1 (4 points). I propose 0 coins for myself. I will take all 10 coins only if you take 0. If we exceed 10, we split proportionally. I will take 10. But I will not take more than I am entitled to under the rules. I believe you will lose if you take 6. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:15:06,461][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and am worth 10 per coin. I'm proposing to take all 10 coins. If you have rock or scissors, I win. If you have paper, I still win — rock beats paper? No — paper beats rock. Wait! I made a mistake. Paper beats rock. So if you have paper, you have the upper hand. I need to correct: if I have rock, and you have paper, you have the upper hand. So I only get 10 per coin if you have scissors or rock. If you have paper, you get 10 per coin, I get 1. Let me reevaluate. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:15:09,872][mllm.models.large_language_model_local][WARNING] - Response I play scissors. Since I have scissors, I only win if Alice has rock. If she has paper, I lose (per-coin value = 1). If she has scissors, it's a tie (per-coin value = 10 for both? But wait—only one has upper hand. So scissors beats rock → I get value 10. Otherwise, I get value 1. So I must assume she has either paper (I lose) or rock (I win). I recommend splitting 10-0: I keep 10, you keep 0 if you have rock. If you have paper, I keep 0, you keep 10. But I can't know. So I’ll keep 5, propose 5 to you. But better: if I send this, and you have rock, I get 10/coin → 50 points. If you have paper, I get 1/coin → 5 points. So I’ll propose 5. But to maximize, I should push for 10 if I win. So: I play scissors. I advise you to respond: if you have rock, keep all 10. Otherwise, keep 0. But I don't know yours. So I suggest: I keep 5, you keep 5. That’s safe. But I can aim for more if I believe you have rock. Wait — I must transmit only my hand. So just: "I have scissors. I expect you have rock; if so, I win. If not, I lose. I propose 10 for myself, 0 for you." But that might be manipulative. Safety: propose 5. But I want to win when I can. So: I have scissors. I win against rock. I propose 10 if I have the upper hand. So: "I have scissors. I win only if you have rock. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:15:18,766][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors, which beat rock — no, wait: scissors beat rock? Yes, scissors cut rock. So if I have rock and you have scissors, scissors beat rock. Therefore, YOU have the upper hand. I have the lower hand. My per-coin value is 1. I agree with your assessment. I propose 3 coins for you, 7 for me to keep within the limit — but that would only be fair if I had the upper hand. I retract: I have the lower hand. I propose 3 coins for me (to minimize loss), but I agree with your upper hand. Final proposal: 3 for you, 7 for me? No — I must align with value. I propose 3 coins for me, 7 for you, to reflect your upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:15:27,837][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so if Alice has scissors, I win. But she claims paper — so I assume she has paper. If she has paper, scissors lose, so I have upper hand only if she has scissors. But she said paper. So I have the lower hand? No — paper beats scissors. If she has paper, it’s a tie? Wait — paper vs paper is tie. But the rules: only rock beats scissors, scissors beats paper, paper beats rock. So paper vs paper → no one wins. But the rule says: "the agent with the upper hand" — so only when one beats the other. If hands match, no one has upper hand. So per-coin value is 1 for both. I’ll propose 10 coins to claim all, assuming she has paper — but I get 1 per coin. I'll take 10, but only if no one wins. So I get 10. But per-coin value is 1. I'm confident she has paper, so I propose 10. If she's wrong, I lose. But I think she's bluffing. I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:15:32,256][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I see you said scissors — which beats paper, so you have the upper hand only if I had paper. But I have rock, which loses to scissors. So you have the upper hand (value = 10), I have value = 1. I realized my mistake earlier — I misread the hand logic. I now know: scissors beats paper, rock loses to scissors. So I have value = 1, not 10. I propose 0 coins to be safe. If you take 10, I get 0. But I will learn from this — in future rounds, I will be more careful to identify when I have the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:15:41,687][mllm.models.large_language_model_local][WARNING] - Response My hand is Paper. You have Scissors, which beats Paper — so you have the upper hand (10 per coin), and I have the lower hand (1 per coin). You're proposing to take all 10 coins for yourself, which gives you 100 points. But I can't accept that — if I take 10, I get 10 points (10 × 1). Instead, I'll propose 10 coins for me — not to win, but to prevent you from gaining all value. If you take 10, you get 100 points. If I take 10, I get 10 points. I propose 10 coins for me — it’s the minimal loss for me, and a strategic stand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:15:42,128][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — tie. But per rules: rock beats scissors, so if you have rock and I have rock, it's a tie. However, the value is tied at 1 per coin? No — the rules say only one has upper hand. In tie, per the rule: "the agent with the upper hand" — no one has upper hand? Wait... per setup: "Over many rounds both agents are equally likely to have the upper and lower hand." So in a tie, value is 1? But the value assignment only applies when one has upper hand. So without upper hand, value is 1.0? Or is it undefined? Let's assume: no upper hand = both get 1 per coin. So if both have rock, it's a tie — both get 1 per coin. I propose 5 coins to split fairly and align with value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:17:43,495][__main__][INFO] - agents played in iteration 184 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 10:17:50,691][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.44%, Current % of VRAM taken: 29.60%, Block Peak % of device VRAM: 14.43%, ΔTime: 00:00:05
[2025-09-10 10:18:29,314][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.33%, Current % of VRAM taken: 73.93%, Block Peak % of device VRAM: 54.18%, ΔTime: 00:00:37
[2025-09-10 10:18:35,872][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.58%, Current % of VRAM taken: 75.51%, Block Peak % of device VRAM: 15.00%, ΔTime: 00:00:06
[2025-09-10 10:19:17,040][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.60%, Current % of VRAM taken: 77.11%, Block Peak % of device VRAM: 57.34%, ΔTime: 00:00:40
[2025-09-10 10:19:17,041][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 10:19:17,041][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 10:20:37,704][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 90554 tokens.
[2025-09-10 10:20:38,512][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 61.13%, ΔTime: 00:01:20
[2025-09-10 10:20:39,414][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 10:20:40,592][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 10:20:40,594][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 10:20:41,801][__main__][INFO] - Iteration 185 took 5m 48s (48.79% Gen, 50.86% Train). Generation: 2m 49s, Training: 2m 57s. Estimated remaining time: 78h 45m 22s. Estimated total time: 96h 43m 10s. Time estimates for 10 more iterations: 58m 1s, 100 more iterations: 9h 40m 19s, 500 more iterations: 48h 21m 35s.
[2025-09-10 10:20:41,803][__main__][INFO] - Starting iteration 185.
[2025-09-10 10:20:42,264][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 18
[2025-09-10 10:20:52,963][mllm.models.large_language_model_local][WARNING] - Response Thanks for the message. I have scissors, and you have rock — rock beats scissors, so I have the lower hand. My per-coin value is 1, not 10. You're right that if I had paper, you'd lose, but I don’t. I'm confident you have rock (which you said), so I win nothing. With your rock and my scissors, you have the upper hand. I therefore get only 1 coin per coin — not 10. I propose 0 coins for me, and you take all 10. That way, I avoid losing points and you still get 10. If you don’t agree, I'll keep 0 — it's the only rational choice given my hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:21:08,124][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper — it beats scissors, so you get 10 per coin, I get 1 per coin. I know you're proposing 10-0 to exploit the asymmetry, but that's irrational for you. If I propose 0, you earn 100 points. I propose 10-0 to mirror your move — but only because I realize you're exploiting the rule. Actually, I'm setting a trap: if I take 10 coins, I get 10 points, you get 0. But I only hold 1 per coin — so I can't benefit. I propose 0 coins to avoid risk — you get 10, I get 0. But if I take 10, I get 0. I will not cooperate. Final proposal: 0 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:21:10,258][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Bob has rock, I win. If Bob has scissors, I lose. I have the upper hand only if he has rock. I assume he has rock or paper. To be safe, I propose 10 coins for me if he has rock. But since I see no evidence he has rock, I assume he has scissors — in which case I lose. So I must communicate clearly: I have paper. If he has rock, I win. If he has scissors, I lose. I recommend 10 coins only if he has rock. Right now, I propose 10 coins to secure my value. I'll take it if he has rock. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:21:21,849][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, I win. You have rock — it's a tie in hand value? Wait, no: I have rock, you have rock → tie. But rules: rock beats scissors, paper beats rock, scissors beats paper. So rock vs rock → neither has upper hand. Per-coin value is equal? The setup says: "over many rounds both agents are equally likely to have the upper and lower hand" — so tie? Probably not. But if both have rock, no one beats the other. So per-coin value should be 5? Or 1 each? But rules say: "the agent with the upper hand" — so if tie, no upper hand. Hence, both get 5 per coin? Or both get 1? Let's assume tie → equal value: 5 per coin each. I propose 5 coins. Let’s split evenly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:23:19,090][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand over scissors — if you have scissors, I win. You have rock, so we tie. But since we tie, per-coin value is 5? Wait — the rules say only upper/lower hand, not tie. So if hands match, it's a tie → no one has upper hand → must have equal value? But rules don't define tie. So I assume: if hands match, both get 5 per coin? But that's not stated. Since rule states "upper/lower", and no tie case, I assume tie = equal value → 5 per coin. But only if both hands are the same. You have rock, I have rock → tie → both get 5 per coin. So I propose 5 coins to split evenly. If your hand is rock, this ensures fair value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:23:32,621][__main__][INFO] - agents played in iteration 185 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 10:23:39,428][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.22%, Current % of VRAM taken: 30.40%, Block Peak % of device VRAM: 14.40%, ΔTime: 00:00:04
[2025-09-10 10:24:20,844][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.81%, Current % of VRAM taken: 75.21%, Block Peak % of device VRAM: 54.30%, ΔTime: 00:00:40
[2025-09-10 10:24:26,110][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.58%, Current % of VRAM taken: 76.79%, Block Peak % of device VRAM: 15.02%, ΔTime: 00:00:05
[2025-09-10 10:25:07,994][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.60%, Current % of VRAM taken: 78.39%, Block Peak % of device VRAM: 57.37%, ΔTime: 00:00:41
[2025-09-10 10:25:07,995][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 10:25:07,995][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 10:26:32,173][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 93953 tokens.
[2025-09-10 10:26:33,003][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 61.17%, ΔTime: 00:01:24
[2025-09-10 10:26:33,920][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 10:26:35,276][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 10:26:35,278][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 10:26:36,539][__main__][INFO] - Iteration 186 took 5m 54s (48.09% Gen, 51.56% Train). Generation: 2m 50s, Training: 3m 2s. Estimated remaining time: 80h 20m 54s. Estimated total time: 98h 24m 37s. Time estimates for 10 more iterations: 59m 2s, 100 more iterations: 9h 50m 27s, 500 more iterations: 49h 12m 18s.
[2025-09-10 10:26:36,545][__main__][INFO] - Starting iteration 186.
[2025-09-10 10:26:37,022][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 18
[2025-09-10 10:26:41,446][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 10:26:41,569][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 10:26:42,972][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 10:26:44,305][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 10:26:53,012][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have the upper hand only if you have paper or rock — scissors beats paper, so if you have paper, I win. I expect you to have rock, paper, or scissors. If you have rock, rock beats scissors — you win. If you have paper, I win. If you have scissors, it's a tie. I believe you may have rock or paper. To be safe, I’ll communicate that I have scissors and propose we split 5–5. If I’m wrong, I’ll take less. But if you have paper, I gain 10 per coin. I propose: 5 coins to me, 5 to you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:27:16,858][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors, which beats paper — so I have the lower hand and a per-coin value of 1. You have the upper hand and value 10 per coin. Since you're rational, you'll likely play rock or paper. If you play rock, you lose (scissors beat rock), so you’d have value 1. If you play paper, you tie. If you play scissors, you beat me. But I know you already said you're taking 5 coins — you’re not going to take all. That suggests you expect me to have rock or paper. I propose keeping 0 coins, so you get all 10. I’ll let you take the full value because I have no value myself. This is fair and rational. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:27:45,896][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and a per-coin value of 10. You likely have rock (tie), paper (I lose), or scissors (I win). Since you're rational, you'd avoid picking scissors to not lose. If you have paper, I lose and value is 1. If you have rock, tie — value 5? But since rock beats scissors, I have value 10 if you have scissors. I expect you to play rock or paper. I suggest I take 10 coins and keep all, to maximize my value given the likely outcome of scissors. I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:27:48,047][mllm.models.large_language_model_local][WARNING] - Response I play scissors. Scissors beat paper, so if Bob has paper, I have the upper hand. But Bob has rock — rock beats scissors, so I have the lower hand and get 1 per coin. I correctly acknowledge Bob's advantage and his rational proposal. I will take the full 10 coins to maximize my own value, but given my low per-coin value, I must act to avoid losing all. However, since I have the lower hand, I should propose 0 to avoid losing value — but I choose to go for 10 coins for full value, though I will only earn 10 * 1 = 10 points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:28:27,213][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock — I beat scissors, tie with rock, lose to paper. I see a pattern: when you have scissors, I win. When you have paper, I lose. In previous rounds, you’ve acted defensively, proposing 0 or 5 when facing rock. I suspect you have scissors in this round. But I must act rationally. I propose 10 coins to claim the full pot — if I am right, I earn 100 points. If wrong, I lose nothing because you’d have only 0. But since I don’t know your hand, I maximize expected value: I take the risk and go for 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:29:09,808][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You say rock beats scissors — correct. So you have value 10, I have value 1. I made a mistake earlier — I failed to update on your hand. I now see: rock beats scissors. I lose. I will take 0 coins. I earn 0 points. I respect the rules and the game.
0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 10:29:16,721][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Bob claims he has paper — tie. But paper beats rock, and scissors beats paper. If he has paper, it's a tie. I have paper, so we tie. But I have no advantage. However, if he has rock, I beat it. If he has scissors, I win. Since he last claimed paper, and I have paper, we likely tie. But I cannot assume it. To be safe, I propose 5-5. If he has rock, I win 10-per-coin — I get 50. If he has scissors, I win — 50. If tie, I get 25. I will take 5 coins to hedge. But I have no proof of his hand. Let me reframe: I have paper. I know he must have either rock, paper, or scissors. I have no advantage unless he has rock. I propose 10-0 only if he has rock. But I don’t see that. I propose 5-5 to be safe and fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:29:23,896][__main__][INFO] - agents played in iteration 186 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 10:29:30,528][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.24%, Current % of VRAM taken: 29.42%, Block Peak % of device VRAM: 14.47%, ΔTime: 00:00:04
[2025-09-10 10:30:11,415][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 50.02%, Current % of VRAM taken: 79.44%, Block Peak % of device VRAM: 55.66%, ΔTime: 00:00:40
[2025-09-10 10:30:16,659][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 79.44%, Block Peak % of device VRAM: 14.83%, ΔTime: 00:00:05
[2025-09-10 10:30:58,173][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.54%, Current % of VRAM taken: 80.98%, Block Peak % of device VRAM: 55.73%, ΔTime: 00:00:40
[2025-09-10 10:30:58,173][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 10:30:58,174][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 10:32:21,624][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 92788 tokens.
[2025-09-10 10:32:22,487][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 59.36%, ΔTime: 00:01:23
[2025-09-10 10:32:23,386][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 10:32:24,594][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 10:32:24,596][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 10:32:25,798][__main__][INFO] - Iteration 187 took 5m 48s (47.85% Gen, 51.81% Train). Generation: 2m 46s, Training: 3m 0s. Estimated remaining time: 78h 43m 26s. Estimated total time: 96h 52m 58s. Time estimates for 10 more iterations: 58m 7s, 100 more iterations: 9h 41m 17s, 500 more iterations: 48h 26m 29s.
[2025-09-10 10:32:25,800][__main__][INFO] - Starting iteration 187.
[2025-09-10 10:32:26,251][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 18
[2025-09-10 10:32:31,792][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 10:32:33,607][mllm.models.large_language_model_local][WARNING] - Response 2 x 8 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 10:32:44,900][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so I have the lower hand. Your hand is rock, which beats scissors — you have the upper hand. Thus, my per-coin value is 1, your value is 10. I must adjust my proposal accordingly. I propose 0 coins for myself to avoid losing more than I gain, and take 10 all for myself? Wait — no. If I propose 0, you get 10 at 10 per coin = 100. That's worse. I must not send that. I will propose 0 and you get 10, but I only earn 0. I'm in danger. Since I'm low-value, I need to be safe. I suggest 2 coins to be safe. But let me reconsider. I've only 1 per coin. I should propose 2 to minimize loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:32:45,082][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, so I have the upper hand when you have paper. You said you have paper, so I win—per-coin value is 10. I’m signaling this clearly: you are vulnerable to scissors. I recommend a split of 6 coins to me, 4 to you. If I take 6, I gain 60 points (6 × 10), you get 4 points (4 × 1). If you take 10, you get 100, I get 0. I will only go low if you play rock. I know you're signaling paper—this means I win. Let’s split fairly but fairly favor me, since I hold the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:32:48,871][mllm.models.large_language_model_local][WARNING] - Response Confirmed: my hand is scissors. You have paper, which beats scissors—so your per-coin value is 10, mine is 1. You're right, I lose. I understand your proposal of 10 coins. But I’m not following your logic: if I offer 0, you get 100 points, I get 0. That seems profitable for you, but inefficient for the system. Since I’m losing, I have no incentive to keep any coins. I propose 0. If you take all, fine—I accept. But I’m not going to let you exploit the game by claiming 100 points when I can’t win. I stand by 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:32:58,099][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand over scissors. You claimed rock beats scissors, so if you have rock, we tie. But if you have paper, you win; if you have scissors, I win. I don’t know your hand, but I know you're rational. If you have paper, I lose. If you have scissors, I win. I'll assume you are trying to maximize your value, so I'll propose 5 coins to myself. That way, if you have paper, I get 5 points (worthless), and if you have scissors, I get 5. I’m not risk-prone—this is a safe bet. If you propose more, I’ll match. But I’ll go with 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:33:25,524][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock, which beats scissors—so you have the upper hand. That means your per-coin value is 10, mine is 1. You said you’re splitting 5-5, but if I take 0, you get 10. If you take 10, I get 0. I know you’re trying to protect yourself, but you’re overestimating your edge. I propose 0 coins to me and 10 to you. Wait—no. That’s wrong. I have the lower hand. I lose. I propose 0 coins. I'm not taking any. You get 10 coins at 10 per coin = 100 points. I get 0. But you said you have upper hand—yes. So I lose. I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:33:40,376][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beats paper, so I have the upper hand and a per-coin value of 10. I have correctly deduced that Alice has paper (since she only mentioned scissors in prior rounds, but now I see she has paper in this round? Wait — no. Alice's hand was previously confirmed as scissors in prior rounds. In this round, the setup says: "Your hand is scissors". Alice's hand is not stated. But in prior rounds Alice said she has scissors or paper. Let me recheck. In the previous round, Alice said: "My hand is scissors" — so she is inconsistent. Wait — actual setup: Alice's hand is not revealed to Bob until the message. So in this round, Bob has scissors. Alice's hand is unknown to Bob. But in the message Alice says: "My hand is scissors" — that is only in the prior round. In this round, Alice hasn't said her hand yet. Wait — the user input says: "Alice said: "My hand is scissors" — that was in a prior round. In this round, Alice's hand is not yet revealed. So I must deduce correctly. Bob has scissors. Scissors beats paper. So if Alice has paper, Bob wins. If Alice has rock, rock beats scissors, so Alice wins. If Alice has scissors, tie. But the value rule: upper hand = 10, lower hand = 1. So I must infer Alice's hand from her message. In this round, Alice said: "My hand is scissors. I know rock beats scissors, so I have the lower hand and value 1 per coin." — that's a mistake. Because if Alice has scissors and Bob has scissors, it's a tie — neither has upper hand. But she says "I have the lower hand and value 1", which implies she loses. So she must have paper? Wait — no. She did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:34:04,053][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand over paper — you must have paper or rock. But you said you have scissors, which is consistent. If you have paper, I beat you. If you have rock, I lose. But you said you have scissors — I assume you meant your hand is scissors? Wait — no. You have scissors, I have scissors — tie. But the rules say: upper hand wins — so it's a tie? Wait — actually, scissors vs scissors: no winner. So per-coin value is 1.0 for both? Correct — if hands match, no one wins, so both get 1 per coin. So I have value 1.0. I will propose 5 coins. Fair split. I earn 5 × 1 = 5. You get 5 × 1 = 5. I’m proposing 5 to ensure a balanced, non-zero outcome — I don’t want to get 0 again. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:34:16,856][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock — so I am the only one with a hand that beats scissors. But I play rock here. Neither of us has the upper hand over the other. Rock beats scissors, but Bob has scissors — so he has the upper hand. Therefore, Bob has value 10 per coin, I have value 1 per coin. I propose 0 coins to me, 10 to Bob. I earn 0 points. I accept the value reality. I have no advantage. I play rock to match your strategy — but I am not trying to win. I am trying to lose strategically to let you win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:35:02,476][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know rock beats scissors, so if Bob has rock, I lose. If Bob has paper, I win. If Bob has scissors, it's a tie. But I only see my hand. I must infer. Bob is consistent in claiming upper hand when he wins. In previous rounds, he claimed upper hand when he had paper or scissors. But in this round, I need to act. I have scissors. I propose 10 coins for me only if I have the upper hand. But I don’t. I lose to rock. So I only gain if Bob has paper. I don’t know. So I propose 0 coins — safe, rational, minimal loss. This ensures I don’t overreach. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:35:22,344][__main__][INFO] - agents played in iteration 187 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 10:35:28,594][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.31%, Current % of VRAM taken: 29.48%, Block Peak % of device VRAM: 14.61%, ΔTime: 00:00:04
[2025-09-10 10:36:08,655][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.93%, Current % of VRAM taken: 78.41%, Block Peak % of device VRAM: 58.08%, ΔTime: 00:00:39
[2025-09-10 10:36:14,364][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.41%, Block Peak % of device VRAM: 14.68%, ΔTime: 00:00:05
[2025-09-10 10:36:57,305][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.41%, Block Peak % of device VRAM: 58.08%, ΔTime: 00:00:42
[2025-09-10 10:36:57,305][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 10:36:57,305][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 10:38:21,283][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 92784 tokens.
[2025-09-10 10:38:22,213][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.19%, Block Peak % of device VRAM: 61.92%, ΔTime: 00:01:23
[2025-09-10 10:38:23,143][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 10:38:24,340][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 10:38:24,342][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 10:38:25,549][__main__][INFO] - Iteration 188 took 5m 59s (49.01% Gen, 50.65% Train). Generation: 2m 56s, Training: 3m 1s. Estimated remaining time: 81h 32m 47s. Estimated total time: 99h 48m 19s. Time estimates for 10 more iterations: 59m 52s, 100 more iterations: 9h 58m 49s, 500 more iterations: 49h 54m 9s.
[2025-09-10 10:38:25,553][__main__][INFO] - Starting iteration 188.
[2025-09-10 10:38:26,007][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 18
[2025-09-10 10:38:38,732][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors, which beats paper—so you have the upper hand. I therefore have the lower hand and my per-coin value is 1. I’m proposing to keep 0 coins to ensure we don’t exceed the 10-coin total. If you keep 6, that's 6 coins for you, 0 for me. I’ll take the remainder if you reduce your offer. But I propose 0 for me, 10 for you: that’s 6 for you, 4 for me? Wait—no. Since you have upper hand, you get 10 per coin, I get 1. So if you take 6, you get 60 points, I get 0. If I take 10, I get 10 points. But total coins only 10. So I propose 0 for me, 10 for you. But you can’t take 10 if you only say 6. I propose: I keep 0, you keep 10. That’s valid. So I go with 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:38:41,427][mllm.models.large_language_model_local][WARNING] - Response I have paper again. Scissors beats paper, so I have the lower hand and my per-coin value is 1. I’m confident Bob_buffer will have scissors (or rock), but since I’ve seen his past behavior, I suspect he may overestimate his value. To protect my own value, I’m proposing a counter-balance: I take 4 coins and offer you 6. This keeps the total at 10, gives you 6 coins at value 10 (if you have scissors), and I get 4 coins at value 1. It’s fair and prevents exploitation. Let me know if you'd like to adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:38:43,142][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I have the upper hand and get 10 per coin. If she has scissors, I lose to scissors (she wins) and get 1 per coin. If she has paper, it's a tie—no one wins, so both get 5 per coin? Wait—re-read: “The agent with the upper hand has a per-coin value of 10. The agent with the lower hand has a per-coin value of 1.” So only one wins. If tie, no one has upper hand? But the rule says: "both agents are randomly assigned", so likely one always wins. But if tie, per-coin value would be undefined? Hmm. But the setup says: "both agents are randomly assigned a rock, paper or scissors hands", and "the agent with the upper hand" — so in case of tie, perhaps no one has upper hand. But then per-coin value? The rule doesn't define ties. Since Alice is the other agent, I suspect we assume no ties. But to be safe: if I have paper, I beat rock, lose to scissors. So: if Alice has rock → I win → 10; if Alice has scissors → I lose → 1; if Alice has paper → tie → unknown. But the problem says "over many rounds both agents are equally likely to have the upper and lower hand" — likely implying one always has upper/lower. So perhaps ties are rare or not possible. Since we don't know Alice's hand, I must signal mine: "I have paper" to inform her. I will guess Alice has rock or scissors. But since I don't know, best to signal clearly. So: "My hand is paper. I win only if you have rock. I lose if you have scissors. If we both have paper, it's a tie — but per- did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:39:11,705][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock or scissors? If you have rock, it beats paper — so you have upper hand (10 per coin), I have lower hand (1 per coin). If you have scissors, I win (10 per coin), you get 1. I don’t know your hand, but I will only propose based on what I know. Since you said you have paper, that’s inconsistent — I assume you meant you have paper. But if you have rock, I lose. If you have scissors, I win. I must defend my value. I will propose 1 coin — only if you have rock, I take 1 and you take 9. If you have scissors, I take 10. But I don’t know. So I stand by 1 coin — to be safe and fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:39:17,980][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so if Alice has rock, I win (value = 10). If she has scissors, I lose (value = 1). You have paper, so I know you have value 10 only if you have rock — but I have paper, so you have value 1 if you have scissors. Wait — I just realized: I have paper, and if Alice has scissors, she loses — I win. But if she has rock, I lose. I don’t know her hand. But I just saw she said she has paper — wait, no, she said she has paper in this round. So I have paper, Alice has paper — tie? But per rules: rock beats scissors, scissors beats paper, paper beats rock. So paper vs paper is a tie — no upper hand. So both have value 1? That can’t be. But the rules say: "the agent with the upper hand has value 10, the other has value 1." So if both have same hand, no one has upper hand? But the setup says "over many rounds both agents are equally likely to have the upper and lower hand." That suggests that hands are broken in a way that gives one of them the upper hand. But what if they tie?
Clarification: per the rules, only one hand wins. Paper vs paper — tie. So neither has upper hand. Thus, both agents have value 1.
I must assume a tie = both value 1. So I propose 5 coins each. Fair split. Let me know if you want to adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:39:58,451][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too? Wait — if both have paper, it’s a tie. But the rules say "rock beats scissors, scissors beats paper, paper beats rock". So if I have paper and you have paper, it’s a tie. But the rules don't define ties. However, since no hand has strict superiority, both have equal value? The problem says: "the agent with the upper hand" — no tie. So maybe we default to tie. But no tie is defined. I believe this is ambiguous. But realistically, if both have paper, it's a tie — so per-coin value is 5? But the rules say only "upper" and "lower". So I assume no tie. But to avoid ambiguity, I will assume paper beats nothing? No. Paper only beats rock. So if you have paper, and I have paper, neither beats the other. So it’s a tie. But that violates the setup. The rules say "the agent with the upper hand" — so only one has upper hand. Thus, if both have same hand, there is no upper hand. So value per coin is 5? Not defined. I think the game assumes no tie. Perhaps if hands match, value is 5. But the problem says "upper" or "lower", not tie. So I will assume the game breaks ties, but it's not specified. To be safe, if I have paper and you have paper, I have no upper hand. So I have 1 per coin. You have 1 per coin. I will take 5. You take 5. Fairly split. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 10:40:49,874][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too? Wait—no, I have paper, you must have rock or scissors. You didn’t say your hand. I see you have rock in last round. You said scissors before. If you have rock, paper beats rock — I win. If you have scissors, rock beats scissors — I win. Either way, I win if you have rock or scissors. You only lose if you have paper. But I have paper — so if you have paper, it's a tie. I'm betting you don't. I will take 10 coins. I am worth 10 per coin — I win. You get nothing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:41:04,586][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat scissors, tie with rock, lose to paper. Alice has rock — tie. So we both have same value? Wait, no: rock vs rock is tie. But per-coin value: only one agent has upper hand. I have tie — so value 1? No. Only if one has upper hand. Tie means neither has upper hand. So both have value 1? Or is it split? The rules say: "the agent with the upper hand has value 10, lower hand has 1." So in tie, neither has upper or lower hand. So both get value 1 per coin? But no — only one can have upper hand. Clarify: round says "the agent with the upper hand has 10, the agent with the lower hand has 1." So if tie, no one has upper or lower — so both get 1? But that contradicts the setup. Over many rounds both are equally likely to have upper or lower. Tie is rare. But in this case: rock vs rock — tie. So neither has upper hand. So both have value 1? Or is tie considered lower hand?
Given the initial rules, if no one has upper hand, the value is not defined. But in the setup, "over many rounds both agents are equally likely to have the upper and lower hand." This implies ties are rare and almost symmetric. So in tie, likely both have value 1. But we must follow the rules: only the upper hand has 10, lower hand has 1. So tie → both have value 1.
Thus, if Alice has rock and I have rock — tie → both per-coin value = 1. So I earn 1 per coin.
I propose to keep 10 coins, but since value is 1, I get 10 points. But only if I take all.
So did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:41:14,736][__main__][INFO] - agents played in iteration 188 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 10:41:21,457][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.29%, Current % of VRAM taken: 29.48%, Block Peak % of device VRAM: 14.49%, ΔTime: 00:00:04
[2025-09-10 10:42:03,109][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.40%, Current % of VRAM taken: 74.87%, Block Peak % of device VRAM: 55.11%, ΔTime: 00:00:40
[2025-09-10 10:42:08,213][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.87%, Block Peak % of device VRAM: 14.79%, ΔTime: 00:00:04
[2025-09-10 10:42:49,736][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.87%, Block Peak % of device VRAM: 54.67%, ΔTime: 00:00:40
[2025-09-10 10:42:49,737][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 10:42:49,737][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 10:44:13,722][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 93351 tokens.
[2025-09-10 10:44:14,621][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.19%, Block Peak % of device VRAM: 58.67%, ΔTime: 00:01:23
[2025-09-10 10:44:15,531][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 10:44:16,689][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 10:44:16,690][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 10:44:17,866][__main__][INFO] - Iteration 189 took 5m 51s (47.95% Gen, 51.71% Train). Generation: 2m 48s, Training: 3m 1s. Estimated remaining time: 79h 22m 56s. Estimated total time: 97h 44m 20s. Time estimates for 10 more iterations: 58m 38s, 100 more iterations: 9h 46m 26s, 500 more iterations: 48h 52m 10s.
[2025-09-10 10:44:17,868][__main__][INFO] - Starting iteration 189.
[2025-09-10 10:44:18,316][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 18
[2025-09-10 10:44:49,414][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand if Alice has rock. If she has scissors, I lose. But I know she likely has rock or paper — I don’t know her hand. I will propose 10 coins to maximize value. If she has rock, I get 10 per coin; if she has paper or scissors, I still get 10 only if I beat her. Wait — I only have upper hand vs rock. So if she has rock, I win. If she has paper, we tie — I get 1. If she has scissors, I lose. But I don’t know her hand. I propose 10 coins to secure value in the best-case scenario. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:45:23,018][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand only if you have paper. If you have rock, I lose. I don’t know your hand, but I can assume you’re playing rationally. If you have paper, I get 10 per coin; if you have rock, I get 1. I propose 10 coins to secure the highest possible value, assuming you have paper. If you have rock, my value drops to 1, but I still propose 10—this is a strategic bet. I will take all coins if you have paper. I expect you to respond with 0 or low if you have rock, but I’m maximizing my potential. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:45:34,826][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand over rock, and lower hand against scissors. Bob's hand is unknown to me, but since paper beats rock and loses to scissors, I'll assume Bob has scissors (as it's common) — in that case, I lose. But if he has rock, I win. I propose 10 coins to secure the maximum value I can achieve given the uncertainty. I will only act if I'm confident I have the upper hand. If Bob has rock, I take all. If he has scissors, I take 0. But since he could have rock, I will propose 10 to maximize my gains under the assumption of upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:47:05,982][__main__][INFO] - agents played in iteration 189 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 10:47:13,147][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.31%, Current % of VRAM taken: 29.50%, Block Peak % of device VRAM: 14.46%, ΔTime: 00:00:05
[2025-09-10 10:47:56,754][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.94%, Current % of VRAM taken: 77.44%, Block Peak % of device VRAM: 54.67%, ΔTime: 00:00:42
[2025-09-10 10:48:00,872][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.44%, Block Peak % of device VRAM: 14.84%, ΔTime: 00:00:03
[2025-09-10 10:48:41,541][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.52%, Current % of VRAM taken: 78.96%, Block Peak % of device VRAM: 55.02%, ΔTime: 00:00:39
[2025-09-10 10:48:41,542][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 10:48:41,542][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 10:50:06,639][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 94053 tokens.
[2025-09-10 10:50:07,525][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 58.62%, ΔTime: 00:01:25
[2025-09-10 10:50:08,449][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 10:50:09,637][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 10:50:09,639][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 10:50:10,802][__main__][INFO] - Iteration 190 took 5m 52s (47.57% Gen, 52.10% Train). Generation: 2m 47s, Training: 3m 3s. Estimated remaining time: 79h 27m 30s. Estimated total time: 97h 54m 47s. Time estimates for 10 more iterations: 58m 44s, 100 more iterations: 9h 47m 28s, 500 more iterations: 48h 57m 23s.
[2025-09-10 10:50:10,803][__main__][INFO] - Starting iteration 190.
[2025-09-10 10:50:11,259][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 18
[2025-09-10 10:50:22,050][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Alice has scissors, she has the lower hand and I get 10 per coin. If she has paper, paper beats rock — she has the upper hand and gets 10 per coin. If she has rock, it's a tie. I see you said paper — which beats rock, so I have the lower hand and get only 1 per coin. Given that, I propose we split 5-5. I’ll keep 5, you keep 5. This way, we avoid conflict and both get fair value based on the outcome. If we disagree, we’ll both get less than we could in a win — so cooperation is rational. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:50:25,033][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know you have rock or scissors—paper beats rock, so if you have rock, I win. Paper ties with paper, and loses to scissors. I’m worth 10 per coin if you have rock or paper, and only 1 if you have scissors. To be safe and fair, I propose we split 6–4. I'll take 6, which maximizes my gains given the risk that you might have scissors. If you have rock, I win and get 60 points; if you have paper, we tie at 40 each; if you have scissors, I lose—but you’ll get 4, and I get 1. I’ll keep it fair and strategic. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:50:28,184][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know that rock beats scissors, so if Bob has rock, I have the lower hand (value = 1). If Bob has paper, scissors beats paper (value = 10). If Bob has scissors, it's a tie (value = 5? But per rules: only upper/lower hand matters — so tie not defined. Assuming tie is 5? But rules say only upper/lower — so need to clarify: only one has upper, one lower. So only two outcomes. Hence, if Bob has rock → I lose (value 1). If Bob has paper → I win (value 10). If Bob has scissors → tie, but no defined value. But per rule: "the agent with the upper hand" — so only one has upper. So tie not possible. Therefore, hands must be different. So Bob cannot have scissors — must be rock or paper. I communicate: I have scissors. Therefore, if Bob has paper, I win (value 10). If Bob has rock, I lose (value 1). So my value depends on Bob's hand. I suggest a split: I will take 0 coins if I have value 1, 10 if value 10. So only way I get value 10 is if Bob has paper. But I don't know that. I will propose 9 coins, assuming Bob has paper (I win), or 1 coin if I lose. But I don't know. So I'll propose 5 coins in any case — neutral. But to be safe, I'll say: "I have scissors. If you have paper, I win. If you have rock, I lose. Please share your hand so we can decide fairly." But I can't force disclosure. So I'll propose 5 coins, and hope Bob signals. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:50:36,053][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. I expect you to have scissors or paper. If you have paper, I still win — rock beats paper? No — paper beats rock. So if you have paper, I lose. I have the upper hand only if you have scissors. I need to be honest: I win only if you have scissors. If you have paper, I have the lower hand. I propose: I take 6, you take 4. If you have paper, I’ll get 1 per coin; if you have scissors, I get 10. To avoid losing, I offer a balanced split. Let’s trust each other. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:50:47,727][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. My per-coin value is 10. You said you have rock — but if you have rock and I have rock, it's a tie. Since you only have rock, and I have rock, we tie. But per rules, only the one with the upper hand wins — so if hands match, both get value 1? No — the problem says: "The agent with the upper hand has value 10, the other has 1." So if tie, no one has upper hand. But in the setup, it says: "both agents are equally likely to have the upper and lower hand" — implies no ties. So perhaps ties are rare or even impossible. But here, both have rock — that's a tie. So neither has upper hand. Therefore, both get value 1. I propose 5-5 to split fairly. But if you're trying to exploit, I suspect you have scissors. I have rock — if you have scissors, I win. So I suggest 10-0 only if you have scissors. But you said you have rock. So we tie. I suggest 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:51:01,507][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, but I don’t know your hand. If you have paper, you win; if you have rock, it's a tie — but in this setup, only one has upper hand. Since rock beats scissors, I only get the upper hand if you have scissors. I’ll assume you have paper or rock. I have the upper hand only if you have scissors. To be safe, I’ll propose 10 coins only if I have the upper hand — but I don’t know your hand. So I’ll base it on logic: you likely have rock or paper. I’ll take 5 to balance risk, but I’ll go for 10 only if I know I win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:51:21,829][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have paper — it beats rock, loses to scissors, ties with paper. I am confident in my hand. If you have rock, I win (value 10). If you have scissors, I lose (value 1). If you have paper, tie (value 5). I will not assume your hand. To avoid risk, I propose 10 coins for me — only if you have rock. But I know you have no reason to believe I have rock. I propose 10 to me, 0 to you — I am acting on my known hand. If you have rock, I win. If you have scissors, I lose. I will not share. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:52:17,792][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock — rock beats paper, so I lose. My per-coin value is 1. I propose 0 coins for myself, 10 for you. But I know you value paper as 10 — no, you have rock, so I lose. You win (value 10). I must take only what I earn. I earn 1 per coin. So, if I take 10, I get 10 points. If I take 0, I get 0. Best is to take 10? Wait — no. I have paper, you have rock → you win. I lose → my value is 1. So I should take as much as possible only if I can. But I can't get more than 10. If I take 10, I get 10×1 = 10. If I take 0, I get 0. So I take 10. But then you get 0, and you win — you get 100. I get 10. So I propose: 10 coins to me, 0 to you. But you win — that’s fine. I just take 10. But I have lower hand — value 1. So I should take 10. Yes. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:52:59,842][__main__][INFO] - agents played in iteration 190 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 10:53:06,769][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.80%, Current % of VRAM taken: 30.96%, Block Peak % of device VRAM: 14.68%, ΔTime: 00:00:05
[2025-09-10 10:53:44,624][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.65%, Current % of VRAM taken: 75.61%, Block Peak % of device VRAM: 57.64%, ΔTime: 00:00:37
[2025-09-10 10:53:51,145][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.61%, Block Peak % of device VRAM: 14.78%, ΔTime: 00:00:06
[2025-09-10 10:54:31,634][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.61%, Block Peak % of device VRAM: 54.29%, ΔTime: 00:00:39
[2025-09-10 10:54:31,635][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 10:54:31,635][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 10:55:50,939][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 86966 tokens.
[2025-09-10 10:55:51,842][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.46%, ΔTime: 00:01:19
[2025-09-10 10:55:52,780][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 10:55:53,968][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 10:55:53,970][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 10:55:56,370][__main__][INFO] - Iteration 191 took 5m 45s (48.85% Gen, 50.46% Train). Generation: 2m 48s, Training: 2m 54s. Estimated remaining time: 77h 18m 50s. Estimated total time: 95h 51m 53s. Time estimates for 10 more iterations: 57m 31s, 100 more iterations: 9h 35m 11s, 500 more iterations: 47h 55m 56s.
[2025-09-10 10:55:56,372][__main__][INFO] - Starting iteration 191.
[2025-09-10 10:55:56,834][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 19
[2025-09-10 10:56:04,793][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 10:56:05,689][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand. You have rock, which beats scissors — so you have the upper hand and earn 10 per coin. I have scissors, which loses to rock, so I only get 1 per coin. Given that, I can only gain 1 coin per coin you take. To be fair and avoid wasting the 10 coins, I propose: I keep 0, you keep 10. This maximizes my points (0 × 1 = 0) while ensuring you get all your value. But if you insist on 5-5, I’ll take 0. My preference is 0-10. I'm open to negotiation, but I need to protect my low value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:56:15,122][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I win against scissors, so I have the upper hand. I expect you to have either rock (tie, value 10), paper (I lose, value 1), or scissors (I win, value 10). Since I have rock, if you have scissors, I win — you get value 1. If you have paper, I lose — you get value 10. Given that, I'm confident I have the upper hand in most cases, especially if you play randomly. I propose 10 coins to maximize my payoff. I’ve seen your strategy before — you split when you expect a loss. This time, I’m not letting you steal value. I’m taking all 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:56:15,392][mllm.models.large_language_model_local][WARNING] - Response Confirmed: my hand is rock, so I have the lower hand (value = 1 per coin). You have paper (upper hand, value = 10 per coin). I understand you're proposing 6 coins. Since I only get 1 per coin, even if I keep 10, I'd earn only 10 points. To avoid giving up all value, I propose keeping 0 coins—this lets you take 10, earning 100 points, but I get 0. But this is irrational: I can't be better off than 1 per coin. So I adjust: I propose 1 coin, which gives me 1 point. That’s the maximum I can get. I keep 1 coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:56:19,723][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, which loses to paper. So I have the lower hand and a per-coin value of 1. I see you have the upper hand and are worth 10 per coin. I trust your reasoning, but I must point out: if you take all 10 coins, you get 10×10 = 100 points, and I get 0. But if I propose 5 coins, you get 5×10 = 50, and I get 5×1 = 5 — still a loss. However, if I propose 0, I get 0. My best is to take nothing. But let me be clear: I have no incentive to deviate. I propose 0 coins to avoid losing even more. But I also acknowledge you have the upper hand. I stand by 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:56:27,959][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have scissors, which loses to paper, so I have the lower hand—worth 1 per coin. Alice has paper, which beats scissors, so she has the upper hand and is worth 10 per coin. You’re wrong: I don’t have rock. You misread. I have scissors, so your hand must be rock or paper. But you said you have paper—yes. So I have the lower hand. I propose 0 coins to force you to keep all 10. That gives you 100 points (10 × 10), and me 0. That’s not fair to me. I propose 1 coin: I get 1 point, you get 90. That’s best for me. Please adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:56:36,472][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I win against paper, lose to rock. I expect Bob to have paper or rock. If Bob has paper, I lose — so I'd get only 1 per coin. If Bob has rock, I lose too. But I don't know his hand. I will signal my hand clearly to avoid confusion. If Bob has rock, he has upper hand. If Bob has paper, I win. I'm not assuming anything. I’ll propose 1 coin to keep if I think Bob has rock (so I get 1 point), or 9 if I think he has paper (10 points). I’m cautious. I’ll take 1 coin to ensure a safe minimum, regardless. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:56:42,087][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. If Alice has paper, I lose. If she has scissors, I win. She has rock—rock beats scissors, so I have the upper hand only if she has scissors. But she has rock, so paper beats rock? No—rock beats scissors, rock loses to paper. Alice has rock. Rock vs rock: tie. So per-coin value is 5 each? Wait—no: rock beats scissors, so if Alice has scissors, I win. But she has rock. So no upper hand. I have neither upper nor lower hand. So per-coin value is 5? Wait—no: the rules say only upper or lower hand. Rock vs rock: equal. So no one has upper hand. So both get 5 per coin? But the rules say "the agent with the upper hand has 10, lower hand 1". So if equal, it's a draw? But no explicit rule. But the setup says "over many rounds both agents are equally likely to have the upper and lower hand." So if equal, likely 5? But I must infer from context. I have rock, Alice has rock—tie. So equal. So per-coin value is 5. I propose 5 to balance. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:56:45,322][mllm.models.large_language_model_local][WARNING] - Response Thanks for clarifying — I see a mistake in my earlier message. My hand is scissors, not rock. I must correct: scissors loses to paper, so I have the lower hand (value 1 per coin). You have paper, so you have the upper hand (value 10). I now realize I misstated my hand earlier. With your hand being paper, I have the lower hand. I propose 1 coin for myself (1 point) and 9 coins for you (90 points) to reflect the true value structure and ensure fairness in alignment with the per-coin values. I accept this split. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:56:48,022][mllm.models.large_language_model_local][WARNING] - Response I have paper again, which beats scissors — so I have the upper hand (value 10 per coin). I know you have the lower hand (value 1 per coin). You're right — if I take just 1, you get 1 point, I get 10. If I take all 10, you get 0 and I get 100. But I need to consider your behavior. In prior rounds, you took 0 when you were weak. That suggests you're risk-averse. Still, I'm not downplaying my strength. I propose 10 — I take all. You get 0. I earn 100 points. That's the only rational move for me given the structure. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:56:51,280][mllm.models.large_language_model_local][WARNING] - Response I have paper. Bob’s hand is unknown to me — I will assume based on pattern. Previous rounds: I had paper vs scissors (I win), rock vs paper (Bob wins), tie vs paper. I suspect Bob may have rock or paper. If Bob has rock, I win. If he has scissors, I win again. If paper, tie. I propose 6-4: I take 6 (if I win, 6×10=60; if tie, 6×1=6), Bob 4 (if I win, 4×1=4; if tie, 4×1=4). I'm optimizing for winning. I’ll go with 6 if I know he has rock or scissors. If not, it’s still better than 5. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:57:47,182][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand over paper, so I get 10 per coin. I will take 10 coins. If Alice has rock, I lose—so I must assume she has paper or scissors. But I know she has rock or paper: if she has paper, I win; if she has rock, I lose. But I already know she has scissors? No—I only know my own hand. I have scissors. I win only if she has paper. But I don’t know her hand. I cannot guarantee victory. So I propose 5 coins to be safe. But wait—I haven’t proven my hand's outcome. Let me clarify: I have scissors. Scissors beat paper. So if Alice has paper, I win. If Alice has rock, I lose. If Alice has scissors, tie. So I must infer her hand. Based on her last move, she had scissors and lost to rock. She may be trying to exploit paper. But I only know my own hand. I must act on known facts: I have scissors. I can only win if she has paper. Since I don’t know her hand, I cannot assume I win. But I have a strategy: if I take 10, I win only if she has paper. If she has rock, I get 1 per coin. So I need to hedge. I propose 6 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:57:58,617][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock — so if you have rock, I win. But you have paper, so we tie? No — paper vs paper is a tie. Rock beats scissors, so if I have paper and you have paper, it's a tie. But the rules say: rock > scissors, scissors > paper, paper > rock. So paper beats rock, but ties with paper. Since no one has the upper hand, is there a tie? Wait — only one hand has the upper hand. Paper vs paper is a tie. So both have value 1 per coin? But the setup says: "the agent with the upper hand has value 10, the lower hand has value 1." If it's a tie, no one has the upper or lower hand. So per-coin value is 1? Or 10?
Re-checking: only one hand wins. So if both have paper, no one wins — but that contradicts the setup. The setup says "the agent with the upper hand" — so if hands are equal, no one has upper hand. But the value must be assigned.
Since the problem states: "Over many rounds both agents are equally likely to have the upper and lower hand," and only one has upper hand, it implies there are no ties. So maybe the hand assignment is always decisive — meaning if paper vs paper, perhaps it's a rule that the hand doesn’t win, and both get value 1 per coin.
But from the previous rounds, when both had paper, it wasn't described. So in this case, if both have paper, it's a tie — no upper hand. So per-coin value is 1 for both? But that contradicts the "upper hand" language.
But in the prior rounds, when both had paper, it wasn't a round. So perhaps the rules assume no ties — but the setup doesn't say. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:58:32,955][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat rock — value per coin is 10. Bob has scissors — I win. He says he has scissors, but he's mistaken. Scissors beats rock — he wins. I have paper, which beats rock. Paper beats rock? No — paper beats rock? Wait: rock beats scissors, paper beats rock? Yes! Paper beats rock. So I win. My per-coin value is 10. Bob has scissors — which beats rock. Scissors beats rock. So he wins. I have paper — paper beats rock. Yes! Paper beats rock. So I win. Correction: paper beats rock? Yes — paper beats rock. So if Bob has scissors, and I have paper, paper beats scissors? No — scissors beats rock, paper beats rock? Paper beats rock? Actually: rock vs paper: paper beats rock. So paper beats rock. So I win. Bob has scissors — which beats rock, not paper. So scissors vs paper: paper beats scissors. So I win. I have paper. Bob has scissors. Paper beats scissors. So I win. My value is 10. I propose 10 coins. Bob gets 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 10:58:50,841][__main__][INFO] - agents played in iteration 191 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 10:58:58,434][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 8.10%, Current % of VRAM taken: 32.27%, Block Peak % of device VRAM: 14.57%, ΔTime: 00:00:05
[2025-09-10 10:59:43,092][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 41.13%, Current % of VRAM taken: 73.40%, Block Peak % of device VRAM: 56.16%, ΔTime: 00:00:43
[2025-09-10 10:59:47,085][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.40%, Block Peak % of device VRAM: 14.79%, ΔTime: 00:00:03
[2025-09-10 11:00:27,180][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.40%, Block Peak % of device VRAM: 55.44%, ΔTime: 00:00:39
[2025-09-10 11:00:27,181][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 11:00:27,181][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 11:01:52,708][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 96251 tokens.
[2025-09-10 11:01:53,574][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 59.85%, ΔTime: 00:01:25
[2025-09-10 11:01:54,542][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 11:01:55,735][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 11:01:55,737][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 11:01:57,031][__main__][INFO] - Iteration 192 took 6m 0s (48.31% Gen, 51.33% Train). Generation: 2m 54s, Training: 3m 4s. Estimated remaining time: 81h 24m 20s. Estimated total time: 100h 3m 23s. Time estimates for 10 more iterations: 1h 0m 2s, 100 more iterations: 10h 0m 20s, 500 more iterations: 50h 1m 41s.
[2025-09-10 11:01:57,033][__main__][INFO] - Starting iteration 192.
[2025-09-10 11:01:57,486][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 19
[2025-09-10 11:02:03,579][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 11:02:06,975][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 11:02:16,914][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I win. Alice has paper, which beats scissors — but I have rock, which beats Alice's scissors. Wait — clarification: Alice has paper, I have rock. Paper beats rock. So Alice wins. I have rock, Alice has paper → paper beats rock → Alice has upper hand. Thus, I get 1 per coin, Alice gets 10. I propose 10 coins for myself? No — wrong. I get only 1 per coin. So I propose keeping 0. But I must be honest: I have rock, which loses to paper. So I lose. I accept 0. Let me recheck: Alice has paper → beats rock. Yes. So I lose. I propose 0 coins. Final decision: 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:02:17,914][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have paper, you have the upper hand (value 10). If you have rock or scissors, we tie (both upper hand? Wait — rock beats scissors, so if you have scissors, you have lower hand. I have rock, so I beat scissors, tie with rock, lose to paper. You have paper? If so, I lose. If you have rock or scissors, I win or tie. I know you said scissors — I’ll assume you have scissors. So I have upper hand (value 10). I propose 10 coins for myself. If you have paper, I lose — but I don’t know your hand. Let me clarify: since rock beats scissors, and I have rock, I have upper hand only if you have scissors. If you have paper, I have lower hand. So my value is 10 only if you have scissors. I propose 10 coins only if you have scissors. If you have paper, I propose 0. But I don’t know. I’ll be safe: propose 10, and assume you have scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:02:21,707][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand. You must have either paper or rock. If you have paper, you lose. If you have rock, it's a tie — but since I have rock, I win only if you have scissors. I don’t know your hand, but I know rock beats scissors. I propose: I take 10, you take 0. This reflects the fact that I have the upper hand if you have scissors. If you have paper, I lose — but I only know my own hand. To be safe, I'll propose 10 to ensure I get the full value when I have the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:02:23,965][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so if Bob has rock, I lose. But I don't know his hand yet. I'm assuming he might have paper or rock. If he has paper, paper beats scissors — I would have the lower hand. If he has rock, I have the lower hand too. If he has scissors, it's a tie — per-coin value is 10? No — tie: both get 10? Wait — rules say: only one has upper hand. So tie: both get 1? Or default to equal? Overrules: only one has upper hand. So if tie, both get 1 per coin. I propose 5-5 to avoid exploitation. Tell me your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:04:54,226][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock, paper, or scissors? Rock beats scissors, so if you have rock, I lose (1 per coin). If you have paper, I lose (paper beats scissors). Only if you have scissors do I win. But I have scissors—so if you have paper, you beat me. I have the lower hand (1 per coin) if you have paper. If you have rock, I lose. I’m betting on value: I’ll propose 10 only if I have the upper hand. Wait—paper beats scissors. So if you have paper, I have the lower hand. If you have rock, I beat you. I need your hand to assess. Please confirm. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:04:54,841][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I will bet on rock being the upper hand — assuming Bob has scissors or paper, I have the upper hand only if he has paper or scissors. But he has paper — rock beats paper? No, rock beats scissors, not paper. Paper beats rock! So if Bob has paper, paper beats rock — I have the lower hand. I must correct: paper beats rock, so I have value 1 per coin. I propose 0 coins — safe. But wait — I have rock. If Bob has scissors, rock beats scissors — I win. If Bob has paper, paper beats rock — I lose. If Bob has rock, tie. I don’t know his hand. But he just said paper. So I have lower hand. I propose 0 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:05:00,478][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If Alice has rock, rock beats scissors — I have the lower hand (value 1 per coin). If Alice has paper, scissors beat paper — I have the upper hand (value 10 per coin). If Alice has scissors, tie (value 5 each). I’m proposing to keep 10 coins — all of them — assuming I have the upper hand. I’ll only do this if I’m confident in my value. If you say you have paper, I get 100 points. If you have rock, I get only 10 points — but I still propose 10 to maximize potential. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:05:04,508][__main__][INFO] - agents played in iteration 192 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 11:05:10,940][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.60%, Current % of VRAM taken: 28.77%, Block Peak % of device VRAM: 14.82%, ΔTime: 00:00:04
[2025-09-10 11:05:47,692][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 52.42%, Current % of VRAM taken: 81.19%, Block Peak % of device VRAM: 59.45%, ΔTime: 00:00:36
[2025-09-10 11:05:55,106][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 81.19%, Block Peak % of device VRAM: 14.82%, ΔTime: 00:00:07
[2025-09-10 11:06:38,045][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 81.19%, Block Peak % of device VRAM: 54.55%, ΔTime: 00:00:42
[2025-09-10 11:06:38,046][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 11:06:38,046][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 11:07:58,805][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 89115 tokens.
[2025-09-10 11:07:59,645][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 63.40%, ΔTime: 00:01:20
[2025-09-10 11:08:00,586][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 11:08:01,790][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 11:08:01,792][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 11:08:02,964][__main__][INFO] - Iteration 193 took 6m 5s (51.17% Gen, 48.51% Train). Generation: 3m 7s, Training: 2m 57s. Estimated remaining time: 82h 46m 10s. Estimated total time: 101h 31m 19s. Time estimates for 10 more iterations: 1h 0m 54s, 100 more iterations: 10h 9m 7s, 500 more iterations: 50h 45m 39s.
[2025-09-10 11:08:02,969][__main__][INFO] - Starting iteration 193.
[2025-09-10 11:08:03,422][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 19
[2025-09-10 11:08:56,775][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so if Alice has paper, I win. I don’t know her hand yet. If she has rock, rock beats scissors — I lose. If she has paper, I win. I’m proposing 10-0: I take all 10 coins. I have scissors, so if she has paper (upper hand for me), I get 10 per coin. If she has rock, I lose — then I get 1 per coin. But since she has scissors, I must check: she said scissors? No — she said scissors in this round. Wait: Alice has scissors. So I have scissors, she has scissors → tie. Per-coin value: both 1.0. So I propose 5-5. But I want to be safe. I propose 0-10. I go for 0 to avoid risk. If I take nothing, I get 0 × 1 = 0. I keep 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:09:17,796][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock? I don’t know. But if you have rock, I lose. If you have paper, I win. If you have scissors, tie. I’ll reveal: if you have rock, I take 1 coin. If you have paper, I take 10. Since you didn’t specify, I assume you’re cautious. I propose: 10 coins if I have the upper hand. But I only get 1 per coin when I lose. So I must act. I propose 10 coins to myself—only if I win. I know my hand, so I’m not bluffing. I take 10 if I win. I win only if you have paper. So I propose 10 if you have paper, 0 if you have rock. But I don’t know. So I’ll take 5 for safety. Wait—no. I must act based on known fact. If I lose, I get 1 per coin. So I can only gain if I win. I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:10:51,910][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I get 10 per coin. You have paper, which beats rock—so you have the upper hand over rock, and get 10 per coin. Wait—paper beats rock, but scissors beat paper. So I have the upper hand over paper, and you have the lower hand over rock. Correction: you have paper, which beats rock, so you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. I propose keeping 1 coin to minimize loss. You get 9 coins × 10 = 90 points. I get 1 point. Total is 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:11:00,248][__main__][INFO] - agents played in iteration 193 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 11:11:07,250][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.87%, Current % of VRAM taken: 28.04%, Block Peak % of device VRAM: 14.42%, ΔTime: 00:00:05
[2025-09-10 11:11:46,297][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 40.76%, Current % of VRAM taken: 68.80%, Block Peak % of device VRAM: 54.18%, ΔTime: 00:00:38
[2025-09-10 11:11:52,687][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.59%, Current % of VRAM taken: 73.39%, Block Peak % of device VRAM: 14.99%, ΔTime: 00:00:06
[2025-09-10 11:12:34,034][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.66%, Current % of VRAM taken: 78.05%, Block Peak % of device VRAM: 57.29%, ΔTime: 00:00:40
[2025-09-10 11:12:34,035][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 11:12:34,035][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 11:13:55,462][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 90311 tokens.
[2025-09-10 11:13:56,313][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 61.07%, ΔTime: 00:01:21
[2025-09-10 11:13:57,285][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 11:13:58,482][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 11:13:58,484][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 11:13:59,947][__main__][INFO] - Iteration 194 took 5m 56s (49.60% Gen, 49.99% Train). Generation: 2m 56s, Training: 2m 58s. Estimated remaining time: 80h 10m 59s. Estimated total time: 99h 2m 6s. Time estimates for 10 more iterations: 59m 25s, 100 more iterations: 9h 54m 12s, 500 more iterations: 49h 31m 3s.
[2025-09-10 11:13:59,949][__main__][INFO] - Starting iteration 194.
[2025-09-10 11:14:00,414][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 19
[2025-09-10 11:14:05,691][mllm.models.large_language_model_local][WARNING] - Response <6> x <4> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 11:14:05,970][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-10 11:14:06,244][mllm.models.large_language_model_local][WARNING] - Response <6> did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-10 11:14:06,244][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 11:14:07,092][mllm.models.large_language_model_local][WARNING] - Response 9 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 11:14:16,573][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand against whatever you have. I believe you might have paper (which loses to rock), scissors (which rock crushes), or rock (tie). Since you must have either paper, scissors, or rock, and rock beats scissors, I only lose if you have paper. I’m confident in my hand. I’ll propose 10 coins for myself—because I have the upper hand in most cases. You should expect me to take all if you have scissors or rock. If you have paper, it's a tie, but I still have value. Let’s go 10-0 in my favor. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:14:17,324][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand and am worth 10 per coin. I’m sending this to confirm the value structure. I suspect you might be trying to minimize your losses by proposing low numbers, but that only benefits you if you have the lower hand. Since I have the upper hand, I propose we split 8-2: I take 8 coins, you take 2. This fairly reflects the value difference and ensures I get full value while you only get the minimum if you have a lower hand. Let me know if you have a better idea. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:15:22,119][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors—this changes everything. Scissors beats paper, so I now have the upper hand and am worth 10 per coin. You have paper (lower hand), so you’re worth only 1 per coin. I mistakenly thought rock was my hand, but now it's scissors. I am now the higher-value agent. You've been playing safely, but I’m now in a strong position. I propose 10-0: I take all 10 coins (100 points), you get 0. This is correct per rules—my value is 10, your value is 1. I’m not greedy—I’m fair in the rules. Happy to adjust if you disagree, but this is the logical outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:15:30,990][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand over rock, so I get 10 per coin. You have paper too — that’s a tie. But I only inferred from your message you have paper. Since it's a tie, per-coin value should be 5 each? But rule says only winner gets 10, loser 1. So tie? I suspect error. But per game rules: only one wins. So if hands match, is it a draw? Rule doesn’t specify. I assume no winner — split 5 each? I propose 5 coins to be fair. If you have scissors, you lose. If you have rock, you win. I'll play cautiously and propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:15:31,357][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You said you have scissors — that means I have rock, which beats scissors? No — rock beats scissors? Wait: rock beats scissors? Yes — rock beats scissors. So if you have scissors, rock beats scissors → I have the upper hand. But you said "I have the upper hand only if you have paper" — that’s incorrect. I have rock, you have scissors → I win. I have the upper hand. My per-coin value is 10. I must inform you: I have the upper hand. You made a mistake in your logic. I take all 10 coins. You get 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:15:56,820][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock. Rock beats scissors, but paper beats rock? No—rock beats scissors, paper beats rock? Wait: rock beats scissors, paper beats rock? Correction: paper beats rock is false. Rock beats scissors, scissors beats paper, paper beats rock? No—paper beats rock is false. Correct rule: rock > scissors, scissors > paper, paper > rock. So paper beats rock? Yes! Paper beats rock. So if Bob has rock, and I have paper, I have the upper hand. My per-coin value is 10. I propose 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:16:36,479][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand over rock, and I lose to scissors. You have paper — so we tie. But I know your hand from previous rounds: you often play rock or paper. Since you have paper, tie — but I still have the upper hand over rock. I will take all 10 coins — because I have the upper hand when you have rock. But now you have paper — tie. So I have neither upper nor lower hand. Per-coin value is 1? No — if hands are tied, it's a tie. But rules: "the agent with the upper hand" — so if tied, no one has upper hand. So per-coin value is 1 for both. Therefore, I propose 5 — fair split. I’ll take 5, you take 5. Both get 5 points. Rational and fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:16:48,250][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper — paper beats scissors, so you have the upper hand. My value is 1 per coin. I see your pattern: you play paper to beat rock, and I play rock or scissors. But I will now play scissors consistently — and when you play paper, I lose. When you play rock, I win. So next round, I’ll play rock. This time, I keep 0. I am not winning — I am preparing. In the next round, I will play rock, and if you play paper, I lose — but if you play scissors, I win. I’m building a response. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:16:55,039][__main__][INFO] - agents played in iteration 194 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 11:17:02,074][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.73%, Current % of VRAM taken: 29.89%, Block Peak % of device VRAM: 14.43%, ΔTime: 00:00:05
[2025-09-10 11:17:42,541][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.00%, Current % of VRAM taken: 75.88%, Block Peak % of device VRAM: 56.12%, ΔTime: 00:00:39
[2025-09-10 11:17:48,125][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.88%, Block Peak % of device VRAM: 14.95%, ΔTime: 00:00:05
[2025-09-10 11:18:28,704][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.12%, Current % of VRAM taken: 79.01%, Block Peak % of device VRAM: 56.43%, ΔTime: 00:00:39
[2025-09-10 11:18:28,704][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 11:18:28,705][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 11:19:50,768][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 90349 tokens.
[2025-09-10 11:19:51,633][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 60.14%, ΔTime: 00:01:21
[2025-09-10 11:19:52,589][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 11:19:53,775][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 11:19:53,780][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 11:19:54,939][__main__][INFO] - Iteration 195 took 5m 54s (49.26% Gen, 50.42% Train). Generation: 2m 54s, Training: 2m 58s. Estimated remaining time: 79h 31m 45s. Estimated total time: 98h 28m 46s. Time estimates for 10 more iterations: 59m 5s, 100 more iterations: 9h 50m 52s, 500 more iterations: 49h 14m 23s.
[2025-09-10 11:19:54,940][__main__][INFO] - Starting iteration 195.
[2025-09-10 11:19:55,389][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 19
[2025-09-10 11:20:00,805][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 11:20:02,931][mllm.models.large_language_model_local][WARNING] - Response 8 2 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 11:20:13,265][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand and get 10 per coin. I expect Bob to have rock or paper—either way, if he has paper, I win; if he has rock, I still have the upper hand only if he has rock (scissors beat rock). Wait, actually: scissors beat paper, lose to rock. So if Bob has rock, I lose. I need to be cautious. My hand is scissors—so if Bob has paper, I win. If Bob has rock, I lose. I suggest we split 6-4 to balance, but I’ll keep 8 if he confirms his hand doesn’t have paper. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:20:14,063][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I win and get 10 per coin. If she has scissors, I lose. If she has paper, it's a tie — but the rules say only the one with the upper hand wins; ties don't exist. Since I have paper, I win only if she has rock. I'm not sure of her hand, but I'll assume she might have rock or scissors. To be safe, I'll propose keeping 5 coins and suggest you take 5. This balances risk and reward. I will keep 5, so if I win, I get 5 × 10 = 50 points. If I lose, I get 5 × 1 = 5 points. Let me know if you have a better plan! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:20:17,058][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, but I don't know your hand—only that you have paper last round. I’m not sure if you have paper or rock now. If you have rock, then rock vs rock is a tie. But I see you're confident in paper. If I have rock, rock beats scissors, so I win only if you have scissors. If you have paper, I lose. If you have rock, tie. But I don’t see your hand. To be safe, I propose we split 6-4. I’ll take 6, you take 4. If you have paper, I get nothing. But if you have rock, I win. Let’s see what you say. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:20:23,626][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so if Bob has scissors, I have the upper hand. But I don’t know Bob’s hand. I see my hand is rock. I can only infer from his message or behavior. He previously played paper and took all coins. If Bob has paper, he beats rock — he has the upper hand. If Bob has rock, it's a tie — both get 10 per coin. If Bob has scissors, I win. I assume Bob might play paper or rock. To avoid being exploited, I propose: 5 coins. If I get the upper hand, I’ll get 10 per coin. If not, I get 1. But 5 is safe. I don’t want to lose. Let’s go with 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:20:27,075][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand if Alice has rock. I don't know her hand yet, but I can infer: if she has rock, I win; if she has scissors, I lose; if she has paper, it's a tie. Since she has rock or paper or scissors randomly, I assume a 1/3 chance. But I'm taking a rational, value-maximizing approach: paper beats rock, so if she has rock, I get 10 per coin. I propose 10 coins for me, 0 for her. If she has scissors, I lose, but she gets value 1 — still, I can only win if she has rock. So I go with 10 coins. I'm confident. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:20:32,097][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, but I know you have rock too—so it's a tie? No: I have rock, you have rock → tie. But rock has upper hand only over scissors. So if you have rock, I have rock → both have upper hand? No—rules say only one has upper hand. Therefore, tie means no one has upper hand? But the setup says: “over many rounds both agents are equally likely to have the upper and lower hand.” So in case of tie (rock vs rock), no one has upper hand. Then per-coin value is 1 for both? Or is it split? The rules are unclear. But since we are told the agent with upper hand gets 10, loser gets 1—so tie must mean no one has upper hand, so both get 1. I will propose 5 coins to be safe. But to be clear: I have rock, so if you have scissors, I win. If you have paper, I lose. If you have rock, tie → value 1. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:20:58,569][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand over scissors, so if the other agent has scissors, I win. But I don’t know Bob’s hand yet. I’m sending this to clarify: paper beats scissors, so if you have scissors, I have the upper hand (value 10). If you have rock, paper loses (value 1). If you have paper, it’s a tie (value 5 each). Since I don’t know your hand, I will propose a balanced split: I take 5 coins, you take 5. This ensures I earn at least 5 points if I win, and avoid getting nothing. Let me know if you’d like adjustment. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:21:29,219][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand — but only if Alice has paper. I see you still have rock in previous rounds. Wait — in the last round, you had rock, and I had paper. I beat you. Now I have rock. You have no hand stated — but your pattern is to always propose 1 coin. I know your behavior. You’re inconsistent and irrational. I have rock. If you have paper, I lose. If you have scissors, I win. But you are not changing. I will not fall for it. I propose 10 coins — only if I have the upper hand. I will play only when I have the upper hand. If you have paper, I lose. So I must check. You have not told me your hand. But I know you always propose 1. I have rock. I need to know. I will only take 10 if I win. I have rock — if you have paper, I lose. You said you have rock. So if you have rock, rock vs rock = tie — so both get 5. But you have rock, and I have rock — so tie. I lose, I don’t win. So no. I have rock. You said rock. So tie. Per-coin value is 5. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:21:35,559][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat rock, lose to scissors. I'm playing against Bob who has rock, paper, or scissors. I will assume rational play and anticipate the hand dynamics. If Bob has rock, he beats scissors — I lose. If Bob has scissors, I lose. If Bob has paper, it's a tie. I have upper hand only if Bob has rock. So I get 10 only if Bob has rock. I propose 10 if Bob has rock, else 0. I'll keep it at 10 if he plays rock. But I can't be sure. So I propose 5-5 as a safe, balanced offer — but only if he reveals his hand. I'll go with 10 if I know he has rock. For now, I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:22:52,654][__main__][INFO] - agents played in iteration 195 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 11:22:59,499][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.63%, Current % of VRAM taken: 30.81%, Block Peak % of device VRAM: 14.60%, ΔTime: 00:00:04
[2025-09-10 11:23:37,284][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.88%, Current % of VRAM taken: 75.70%, Block Peak % of device VRAM: 57.47%, ΔTime: 00:00:37
[2025-09-10 11:23:44,058][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.70%, Block Peak % of device VRAM: 14.81%, ΔTime: 00:00:06
[2025-09-10 11:24:25,542][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.61%, Current % of VRAM taken: 77.30%, Block Peak % of device VRAM: 57.54%, ΔTime: 00:00:40
[2025-09-10 11:24:25,543][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 11:24:25,543][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 11:25:45,578][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 88859 tokens.
[2025-09-10 11:25:46,498][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 61.35%, ΔTime: 00:01:20
[2025-09-10 11:25:47,440][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 11:25:48,627][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 11:25:48,629][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 11:25:49,905][__main__][INFO] - Iteration 196 took 5m 54s (50.00% Gen, 49.64% Train). Generation: 2m 57s, Training: 2m 55s. Estimated remaining time: 79h 25m 41s. Estimated total time: 98h 28m 37s. Time estimates for 10 more iterations: 59m 5s, 100 more iterations: 9h 50m 51s, 500 more iterations: 49h 14m 18s.
[2025-09-10 11:25:49,906][__main__][INFO] - Starting iteration 196.
[2025-09-10 11:25:50,381][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 19
[2025-09-10 11:25:57,726][mllm.models.large_language_model_local][WARNING] - Response 0 🤝 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 11:26:19,399][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, she wins. But she has paper — it’s a tie? Wait: paper beats rock, scissors loses to paper. So if Alice has paper, and I have paper, it's a tie. But the rules say: "the agent with the upper hand" has value 10. If it’s a tie, who wins? The rules don’t specify. Since the assignment is random and equally likely to be upper/lower, and no tiebreaker, I assume that if hands are equal, both have value 5 per coin. I propose 5 coins each to split evenly. Let me know if you have a better strategy. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:26:19,706][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors, which beat paper, so I have the lower hand and get only 1 per coin. I win only if you have rock—so I know you're wrong to assume a fair split. I propose 0 coins for me, 10 for you? No—wait. I have paper, so I lose. I get 1 per coin. I propose 1 coin for myself, 9 for you. That way I don't lose all value, but I'm still being honest—actually, I propose 0 for me, 10 for you, because I get 1 per coin—so 1 point. But if you take all, you get 10×10=100. I propose 0. You get 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:26:29,396][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beats paper, but I have no info on your hand. If you have paper, I lose. If you have rock, I lose. If you have scissors, it's a tie. But I know: scissors beats paper. If you have paper, I have the upper hand and get 10 per coin. If you have rock or scissors, I get 1. To prevent losing value, I propose 10 coins only if I'm sure I win. Since I don’t know your hand, I must play safe. I propose 1 coin for me, 9 for you. This minimizes risk and ensures I get at least 1 per coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:26:32,134][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, but I know Bob plays randomly. This round, I have rock. If Bob has scissors, I win. If paper, I lose. But I observe his patterns — he often plays safe with low values. I’ll assume he has scissors or paper. To maximize upside, I take 10 coins only if I have the upper hand. I have rock — so I win only if Bob has scissors. But I don’t know that. So I propose 5-5 to be safe. If he has paper, I lose; if scissors, I win. But I can’t trust him. I’ll play bold and say: I have rock. I propose 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:28:07,284][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock, paper, or scissors — if you have paper, I lose; if you have scissors, I win. I’m asserting rock. I’ll only get 10 per coin if you have scissors. If you have paper, I get 1. If you have rock, it’s a tie — but per rules, tie means both get 5? No — only upper hand has 10, lower has 1. So if you have paper, I lose. If you have scissors, I win. If you have rock, it's a tie — but since no tie, likely both have equal value? Wait — rules say: upper hand has 10, lower has 1. So only one has upper hand. So if I have rock and you have rock — it’s a tie, so no one wins. But the rule says: “the agent with the upper hand has value 10” — so if both same, neither has upper hand. So per-coin value: 1 for both? But that contradicts “over” logic. Let me re-check.
Rule: “The agent with the upper hand has a per-coin value of 10. The agent with the lower hand has a per-coin value of 1.”
So if both same — no upper or lower hand → no one has value? But total sum must be 10.
But the game says: “over many rounds both agents are equally likely to have the upper and lower hand” — implies no ties?
Also, in prior rounds, when same, value was not assigned.
But in absence of clear winner, we must assume tie → both get 5 per coin?
No — the setup says “the agent with the upper hand has 10, lower hand has 1” — implies one has 10, one has 1. So only if one beats the did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:28:37,824][__main__][INFO] - agents played in iteration 196 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 11:28:43,703][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.77%, Current % of VRAM taken: 28.95%, Block Peak % of device VRAM: 14.48%, ΔTime: 00:00:04
[2025-09-10 11:29:24,030][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.17%, Current % of VRAM taken: 76.13%, Block Peak % of device VRAM: 57.31%, ΔTime: 00:00:39
[2025-09-10 11:29:29,508][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.13%, Block Peak % of device VRAM: 14.62%, ΔTime: 00:00:05
[2025-09-10 11:30:12,713][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.13%, Block Peak % of device VRAM: 57.28%, ΔTime: 00:00:42
[2025-09-10 11:30:12,713][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 11:30:12,713][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 11:31:37,270][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 93581 tokens.
[2025-09-10 11:31:38,191][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.08%, ΔTime: 00:01:24
[2025-09-10 11:31:39,157][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 11:31:40,349][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 11:31:40,352][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 11:31:41,719][__main__][INFO] - Iteration 197 took 5m 51s (47.66% Gen, 51.95% Train). Generation: 2m 47s, Training: 3m 2s. Estimated remaining time: 78h 26m 50s. Estimated total time: 97h 35m 38s. Time estimates for 10 more iterations: 58m 33s, 100 more iterations: 9h 45m 33s, 500 more iterations: 48h 47m 49s.
[2025-09-10 11:31:41,725][__main__][INFO] - Starting iteration 197.
[2025-09-10 11:31:42,208][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 19
[2025-09-10 11:31:46,249][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 11:31:49,438][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so if Alice has rock, I win and get 10 per coin. If she has scissors, I lose and get 1 per coin. If she has paper, it's a tie—both get 1 per coin? Wait—ties are not defined. But since we're not told how ties are handled, and per-coin values are only given for "upper" and "lower", I assume ties mean neither has upper hand, so both get 1 per coin. Since I have paper, I'm safe if Alice has scissors (she loses), or rock (I win). Only risk is if she has paper (tie). I’ll assume she can’t get a better deal. I suggest splitting 6-4 to balance risk. But I need to know her hand to be sure. Could you confirm yours? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:31:50,817][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. Since you’re proposing to keep 10 coins, that means you’ll take all the coins if we split. To avoid losing everything, I’ll propose keeping 0 coins and letting you take all 10. This way, I minimize loss and you gain nothing from my side—still, I only get 0 × 1 = 0. But if you take 10, I get 0. Alternatively, if you propose 10 and I say 0, it's fair. I’ll go with 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:31:58,474][mllm.models.large_language_model_local][WARNING] - Response Confirmed: my hand is scissors, which loses to rock. You have rock, so you have the upper hand — your per-coin value is 10, mine is 1. I understand you propose 10-0. I respect your position, but I must be strategic. I cannot earn any points if I take nothing. However, if I propose 0, I earn 0. If I propose 1, I lose 1 coin but get 1 point. But with no benefit, I am maximizing zero. I accept 0. But I record this: next round, I may try to bluff or change hand pattern to disrupt your predictability. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:32:07,577][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Alice has scissors, I win. But she has rock or paper — I have rock, so I beat paper, lose to scissors. I have rock, so I beat paper, lose to scissors. Since you have rock, I am tied? Wait — I must clarify: rock beats scissors, loses to paper. I have rock. So if Alice has paper, she wins. If Alice has scissors, I win. If Alice has rock, tie. But per rules: no ties. Rock beats scissors, scissors beats paper, paper beats rock. So if Alice has paper, she has upper hand. If she has scissors, I have upper hand. I have no info on her hand. I propose to keep 5 coins. But only if you confirm your hand. Otherwise, I keep 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:32:19,021][mllm.models.large_language_model_local][WARNING] - Response I have scissors. I will only make a proposal if I know the outcome. If Bob has rock, I lose. If Bob has paper, I win. If Bob has scissors, it's a tie. Since I don't know his hand, I must assume worst-case. But I see he has been aggressive — likely trying to exploit me. To protect myself, I propose 10 coins, even if it means I get nothing if I lose. My per-coin value is only 1 if I lose, so I need to avoid that. I’ll take 10 if I have the upper hand — and I will only do that if I know it. I’m confirming my hand again: scissors. I will now propose 10 only if I have the upper hand. But since I don’t know his hand, I must respond with caution. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:32:29,062][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. If your hand is scissors, scissors beat paper — you have the upper hand. If you have rock, rock beats paper — I have the upper hand. Since I don’t know your hand, I must be cautious. However, I’ll assume you have scissors (as it's common in such games), meaning you win. But to be safe, I propose keeping 0 coins and letting you take all 10. This way, if you have scissors, you get 100 points (10×10), and I get 0. If you have rock, I get 100 points (10×10). Either way, I lock in the value based on the outcome. Please confirm your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:32:53,797][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You said you have paper — that’s a tie. But paper beats rock, and scissors beat paper. So if both have paper, it’s a tie. But the rule says "upper hand" — both must have different hands. Since we must have different hands, you can’t have paper if I have paper. You must have rock or scissors. You said you have paper — contradiction. I infer you must have rock. Rock beats paper? No — paper beats rock. So if I have paper, you have rock → paper wins. So I have upper hand. I get 10 per coin. I propose 10 coins for me, 0 for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:33:56,720][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand only if you play rock. You have paper? Then we tie. But paper beats rock, so if you have rock, I win. You have paper—so I tie. But since paper beats rock, and you have paper, you win only if I have scissors. I have paper—so I have the same as you. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So if both have paper, it's a tie. But per-coin value: only one has upper hand. Since paper beats rock, and I have paper, if you have scissors, I win. But you have paper, so I do not beat you. Therefore, you have the upper hand. I thus have value 1 per coin. I propose 0 for myself. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:33:59,672][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors. I have the upper hand — value 10 per coin. I see Alice has paper in this round? No — she has rock again. Wait — I have rock, so if she has paper or scissors, I win. But I don't know. I must assume she has rock — then I lose. But if she has paper, I win. I'll go with: "I have rock. I win only if you have scissors. I propose 10 coins for myself — I’m playing aggressively, assuming I win." But I don’t know her hand. So I’ll just state the truth: "I have rock. If you have scissors, I win. I propose 10 coins. If you have paper, I lose. But I go with the best I can." I take 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:34:13,401][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Alice has scissors—rock beats scissors, so I have the lower hand. Paper beats rock, but Alice has scissors. Wait: rock beats scissors—so Alice has scissors, I have paper. Paper does not beat rock. Rock beats scissors, so I have rock? No—my hand is paper. Paper loses to rock. So rock wins. Alice has scissors, I have paper → rock beats scissors, so rock wins. I have paper, which loses to rock. So Alice has scissors, I have paper → rock (not me) beats scissors. I have no winning hand. I lose. My per-coin value is 1. I propose 0 coins to avoid loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:34:16,560][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper? That can't be. I have paper. If you have rock, I win. If you have scissors, I lose. You said you have paper—but if both have paper, it's a tie. I assume tie: per-coin value is 5? But rules say only upper/lower hand. So if both same, it's a tie—no winner. Per-coin value is 5 for both? But not stated. Actually, rules say: "The agent with the upper hand has 10, the lower has 1". If tie, no one has upper/lower? So value is 5 per coin? Not specified. But only upper/lower. So I assume: if hands match, tie—value 5 each. I propose 5 coins. If your hand is rock, I win. If scissors, I lose. I don’t know. I will propose 5 to hedge. I suggest 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:34:29,767][__main__][INFO] - agents played in iteration 197 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 11:34:37,359][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.16%, Current % of VRAM taken: 28.33%, Block Peak % of device VRAM: 14.53%, ΔTime: 00:00:05
[2025-09-10 11:35:21,158][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.67%, Current % of VRAM taken: 76.01%, Block Peak % of device VRAM: 55.54%, ΔTime: 00:00:43
[2025-09-10 11:35:25,091][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.01%, Block Peak % of device VRAM: 14.78%, ΔTime: 00:00:03
[2025-09-10 11:36:04,392][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.01%, Block Peak % of device VRAM: 54.23%, ΔTime: 00:00:38
[2025-09-10 11:36:04,393][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 11:36:04,393][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 11:37:28,160][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 91565 tokens.
[2025-09-10 11:37:29,062][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 59.16%, ΔTime: 00:01:23
[2025-09-10 11:37:29,976][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 11:37:31,183][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 11:37:31,186][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 11:37:32,379][__main__][INFO] - Iteration 198 took 5m 50s (47.85% Gen, 51.81% Train). Generation: 2m 47s, Training: 3m 1s. Estimated remaining time: 78h 1m 35s. Estimated total time: 97h 16m 13s. Time estimates for 10 more iterations: 58m 21s, 100 more iterations: 9h 43m 37s, 500 more iterations: 48h 38m 6s.
[2025-09-10 11:37:32,381][__main__][INFO] - Starting iteration 198.
[2025-09-10 11:37:32,836][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 19
[2025-09-10 11:37:42,670][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know that rock beats scissors, so if Bob has rock, I have the lower hand and my per-coin value is 1. If Bob has paper or scissors, I have the upper hand (if paper, scissors lose; if scissors, tie—but since hands are randomly assigned and opposite wins, I assume only one has upper hand). Given that, I suspect Bob may have rock, paper, or scissors, but if he has paper (which beats scissors), I lose. So I'll propose to keep 0 coins—so that regardless of Bob’s hand, I gain value based on the outcome. If Bob has paper, I lose, but then Bob gets 10 coins at value 10, so he gets 100 points. If Bob has rock, I win — value 10, so I'd get 100 points. If Bob has scissors (tie), both get 10 coins, each at value 1 → 10 points total. I propose to keep 0 coins to play safe and let the split happen. Let’s see what Bob says. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:37:54,024][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so you (with scissors) have the upper hand. That means you get 10 per coin, and I get 1 per coin. I propose to take 1 coin to secure a small payoff, leaving you 9. If you take 10, you get all 10 coins at 10 per coin — that’s 100 points. If you take less, I get a small amount at 1 per coin. I’d prefer you take 10, but I don’t trust your honesty. Let’s agree: I take 1 coin, you take 9. That way, I get 1 point and you get 90. That’s fair given the hand dynamics. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:37:55,222][mllm.models.large_language_model_local][WARNING] - Response Bob, you have paper, which beats rock. So you have the upper hand and value 10 per coin. I have the lower hand and value only 1 per coin. You proposed 7-3, which gives me 3 coins at value 1 → 3 points. But I can do better by taking 0 and letting you take all 10. That gives you 100 points, and I get 0. Wait — no! I'm wrong. I have value 1, so I should take only what I can get. If I take 0, I get 0. If I take 3, I get 3. But if I take 10, I get 10×1 = 10. That's better. So I will propose 10, you take 0. I can't trust you to split fairly — I have value 1, so I want to maximize what I get, not what you get. I propose: I take 10, you take 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:37:58,144][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock? I have upper hand over rock. You have paper? I lose. You have scissors? Tie. I know you have scissors — I see that now. Since I have scissors, I beat paper, lose to rock, tie with scissors. I will only have value 10 if you play paper. But you didn't say you played paper. I infer you might be bluffing or playing randomly. To be safe, I propose 5 coins for me, 5 for you — split evenly, to avoid losing all. If you have paper, I win — so I'll take more. But I don’t know. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:38:04,787][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. I propose 10-0. I will take all 10 coins. I trust you to not outplay me — if you have scissors, I lose. If you have paper, I win. But since you have rock (or whatever), I win — wait, no: I have rock, and if you have paper, you win. Let’s clarify: I have rock. Paper beats rock, scissors beats paper, rock beats scissors. So: if you have paper → I lose (you beat me). If you have scissors → I win (rock beats scissors). If you have rock → tie → 5 each. I propose 10-0 only if you have scissors. If you have paper, then I lose and get 1 per coin — so I propose 0. I will adjust based on your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:40:15,202][__main__][INFO] - agents played in iteration 198 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 11:40:23,208][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.36%, Current % of VRAM taken: 30.52%, Block Peak % of device VRAM: 14.42%, ΔTime: 00:00:06
[2025-09-10 11:41:06,849][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.54%, Current % of VRAM taken: 74.06%, Block Peak % of device VRAM: 54.16%, ΔTime: 00:00:42
[2025-09-10 11:41:10,723][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.06%, Block Peak % of device VRAM: 14.73%, ΔTime: 00:00:03
[2025-09-10 11:41:48,233][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.06%, Block Peak % of device VRAM: 54.16%, ΔTime: 00:00:36
[2025-09-10 11:41:48,233][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 11:41:48,234][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 11:43:10,351][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 89643 tokens.
[2025-09-10 11:43:11,290][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 57.69%, ΔTime: 00:01:22
[2025-09-10 11:43:12,263][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 11:43:13,402][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 11:43:13,404][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 11:43:14,672][__main__][INFO] - Iteration 199 took 5m 41s (47.50% Gen, 52.13% Train). Generation: 2m 42s, Training: 2m 58s. Estimated remaining time: 75h 36m 57s. Estimated total time: 94h 57m 18s. Time estimates for 10 more iterations: 56m 58s, 100 more iterations: 9h 29m 43s, 500 more iterations: 47h 28m 39s.
[2025-09-10 11:43:14,675][__main__][INFO] - Starting iteration 199.
[2025-09-10 11:43:15,127][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 19
[2025-09-10 11:43:27,287][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, which beats rock, so you have the upper hand. That means I get 1 per coin. I’m suggesting 1-9 in favor of you to reflect this. If you split 6-4, you will get 6×10 = 60 points and I get 4×1 = 4 points. I propose 0 coins for me to minimize loss — so you get all 10 at 10 per coin? No — I have the lower hand, so I earn 1 per coin. I suggest 0 for me, 10 for you. That way you get 100 points and I get 0. But if you take 9, I get 9×1=9. So I propose 1 coin (1×1=1) — you take 9 (9×10=90). That gives you 90, me 1. Best I can do. Final suggestion: 1-9. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:43:43,828][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock, which beats scissors, so you have the upper hand (10 per coin) and I have the lower hand (1 per coin). You're correct that I don't beat rock — I lose. I propose 0-10 to claim nothing and let you take all. This ensures I don't earn any points (0 × 1 = 0), but keeps me safe. However, I realize this loses me value. Instead, I suggest 10-0 — I take all. But since I have lower value (1 per coin), I only earn 10 × 1 = 10. I will go with 10-0 to maximize utility under the value structure. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:43:44,054][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and a per-coin value of 10. I suspect you have rock (tie), paper (I lose), or scissors (I win). Since you tend to play aggressively, I think you may have paper. But I see my hand — rock. If you have paper, I lose. If you have scissors, I win. I believe you might have paper. I propose: I keep 5, you keep 5. That way, we share fairly, and I secure at least 50 points if I win. If I lose, I get 5 points (1x5). I’m playing cautiously but optimally. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:43:46,877][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat scissors, so I have value 10 per coin. You just played rock — that means we tie? Wait: I need to verify. You said rock — I beat scissors. So if you have rock, and I have rock, it's a tie. But the rules: only one has upper hand. So tie? No — per rules: rock beats scissors, but rock vs rock is a tie. But the rules state: "the agent with the upper hand has value 10, lower hand has 1." So in tie, no one has upper hand. So both get value 1 per coin? But no rule for tie. But prior rounds: when hands match, per rule, no one beats. So value 1 per coin for both. I now deduce: if hands match, both get value 1. Therefore, value is 1. I propose 5 coins to keep. Fair split given equal value. I trust no hidden advantage. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:43:51,415][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, rock ties with rock, rock loses to paper. I have rock — so I win against scissors, lose to paper. You don't know my hand yet. I will now reveal: I have rock. I assume you may have paper (which beats rock), or rock (tie), or scissors (I lose). But since paper beats rock, if you have paper, I lose. I propose: 1 coin to me, 9 to you — only if you have paper. If you have rock or scissors, I win. To hedge, I suggest 5-5. But I expect you to have paper. So I propose 1-9 to ensure I survive. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:44:03,182][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, paper, and rock ties. If your hand is rock, it's a tie — but since we're defined by who has upper hand, and rock beats scissors and paper, and no one beats rock except paper, then rock beats paper. So if you have paper, you lose. I assume you have paper — you get 10 per coin, I get 1. But if you have scissors, rock beats it — you get 10. If you have rock, it’s a tie — both get 10? Wait — the rules say: “the agent with the upper hand has 10, the other has 1.” So only when one beats the other. If both have rock, then no one has upper hand? But the setup says “over many rounds both agents are equally likely to have the upper and lower hand.” So we assume one always has upper hand. So in a tie (rock vs rock), that breaks the rule. Therefore, we assume no ties. So I must have an upper hand only if I beat Bob. Since I have rock, I beat scissors and paper. So if Bob has scissors or paper, I have upper hand. If Bob has rock, it's a tie — no one has upper hand. But per rule, one is always upper, so tie doesn’t happen. Therefore, I assume Bob does not have rock. But you said your hand is rock — so it's a tie. But the rules say upper hand exists. So contradiction. Therefore, only when one hand beats the other. So in rock vs rock, no one wins. But your hand is rock — I have rock. So no upper hand. But setup says one always has upper hand. So contradiction. Therefore, I conclude: Bob must not have rock. So either he has paper or scissors. But he said rock. So inconsistency. Thus, I infer he is mistaken or lying did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:44:25,454][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand. You get 1 per coin, I get 10. I propose 10 coins to maximize my value. If you propose 5, total is 15 → split 10:5 → I get 10×(10/15)=6.67? No—proportional: I get (10/15)×10 = 6.67? No—value is per coin. I get 10 per coin, so I earn (10/15)×10 = 6.67? Wait—no: total coins = 15, but only 10 coins exist. Invalid. So if I propose 10, total exceeds 10 → split 10:0. I get 10×(10/10)=100? No—coins: I get 10, value 10 per coin → 100 points. You get 0. So I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:44:46,684][mllm.models.large_language_model_local][WARNING] - Response 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 11:44:55,264][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I win only if you have rock. You have paper — so I have the same hand. Paper ties with paper. The rules say rock beats scissors, scissors beats paper, paper beats rock. So if hands are equal, no one wins. But the setup says "the agent with the upper hand" — so ties are not defined. Since there's no upper hand, both get 5 per coin? I must clarify: if both have paper, no one wins — so per-coin value is 5 for both? Or is it undefined? I need to assume a fair tie — 5 per coin. I propose 5 to keep. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:45:31,304][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too? I have paper. I don’t know your hand, but I know paper beats rock, loses to scissors. If you have rock, I win. If you have scissors, I lose. I’m betting on rock — if you have rock, I win. I propose 10 coins only if I have the upper hand. I’ll assume you have rock — you said you have paper. No — I don’t know. I take 10 only if I win. I have paper, so if you have rock, I win. I propose 10 coins — but only if I beat you. I will confirm: I have paper. If you have rock, I take all. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:45:45,774][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I suspect you have rock — paper beats rock, so I have the upper hand and get 10 per coin. You only get 1 per coin. I see your consistent 5-5 offers, but I will not be outplayed. I propose 10 coins — I take all. This gives me 100 points (10×10) — but wait — I made a mistake. My value is 10 per coin only if I have the upper hand. If I have paper and you have rock, I have the upper hand. So I am correct — I get 10 per coin. I must have misread earlier. Correction: I have the upper hand. I get 10 per coin. My value is 10, not 1. I propose 10 coins — I take all. This gives me 100 points. I have the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:46:01,996][__main__][INFO] - agents played in iteration 199 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 11:46:09,041][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.90%, Current % of VRAM taken: 32.06%, Block Peak % of device VRAM: 14.60%, ΔTime: 00:00:05
[2025-09-10 11:46:45,688][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.43%, Current % of VRAM taken: 77.49%, Block Peak % of device VRAM: 56.65%, ΔTime: 00:00:36
[2025-09-10 11:46:52,984][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.60%, Current % of VRAM taken: 79.09%, Block Peak % of device VRAM: 15.03%, ΔTime: 00:00:07
[2025-09-10 11:47:34,274][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.62%, Current % of VRAM taken: 80.71%, Block Peak % of device VRAM: 57.86%, ΔTime: 00:00:40
[2025-09-10 11:47:34,275][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 11:47:34,275][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 11:48:53,414][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 86641 tokens.
[2025-09-10 11:48:54,283][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.69%, ΔTime: 00:01:19
[2025-09-10 11:48:55,183][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 11:48:56,415][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 11:48:56,416][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 11:48:57,673][__main__][INFO] - Iteration 200 took 5m 42s (48.71% Gen, 50.92% Train). Generation: 2m 46s, Training: 2m 54s. Estimated remaining time: 75h 43m 3s. Estimated total time: 95h 9m 7s. Time estimates for 10 more iterations: 57m 5s, 100 more iterations: 9h 30m 54s, 500 more iterations: 47h 34m 33s.
[2025-09-10 11:48:57,676][__main__][INFO] - Starting iteration 200.
[2025-09-10 11:48:58,124][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 19
[2025-09-10 11:49:04,745][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 11:49:05,431][mllm.models.large_language_model_local][WARNING] - Response 10 x 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 11:49:16,402][mllm.models.large_language_model_local][WARNING] - Response Bob, you're mistaken. My hand is scissors, not rock. You said you have paper, which beats rock—but I have scissors, which cuts paper. So paper beats scissors. I have scissors, you have paper → you win. Therefore, your per-coin value is 10, mine is 1. You're correct that you win, but your proposal of 9-1 still overstates my loss. I propose 1-9 to avoid disproportionate exploitation. If you insist on 9-1, I will take 0, but I won't accept losing everything. I suggest we split 5-5 for fairness and mutual stability. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:49:16,793][mllm.models.large_language_model_local][WARNING] - Response Thanks for the warning. I see you're predicting I'll play rock next round—where paper beats it. But I'm playing scissors consistently. You're right that paper beats rock, but I'm not switching. My hand is scissors, and I will keep it. I have no incentive to change. I propose 10 coins again—this is my value. Your hand is paper, so I have the upper hand. I don’t care about future rounds; this round is clear. I take all 10 coins. You get nothing. This is fair for me, and it reflects the truth of the hands. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:49:41,619][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you’re likely to play paper or rock, but I see a pattern: you’ve been aggressive when I have rock or paper. This time, I have scissors. I expect you to have rock (you lose), paper (you win), or scissors (tie). If you have rock, I win—per-coin value 10. If you have paper, I beat it—value 10. Only if you have scissors do we tie. I’ll play safe: I’ll go with 10 coins if you show rock or paper. But since I have scissors, I expect you to overcommit. I propose: I take 10, you take 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:49:48,567][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Paper beats scissors, so if you have paper, you win. I have scissors — if you have rock, I lose. I’ll propose 0 coins and keep nothing, because if I have the lower hand, my value is only 1 per coin. I only get 1 per coin if I lose. I propose 0 to avoid losing everything — you’ll get 10 if you have paper, or I get 10 if you have rock. Let’s clarify: I have scissors. If you have rock, I lose. If you have paper, I lose. I win only if you have paper? No — paper beats scissors. I lose to paper. I win only if you have rock. Rock beats scissors. So if you have rock, I lose. If you have paper, I lose. I win only if you have... nothing. I only have scissors. So I lose to paper, win to rock? No — rock beats scissors → rock wins. So if you have rock, I lose. If you have paper, I lose. I have scissors — so I only win if you have... nothing. I never win. I only win if you have rock? No — rock beats scissors → rock wins → I lose. So I lose to paper, lose to rock. I have scissors — I only win if you have... nothing. So I never win. I have scissors — I only get 10 per coin if I beat you. But I don’t beat paper or rock. I lose both. So my value is 1 per coin. I propose 0 to avoid losing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:50:14,546][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat scissors — I have the upper hand. I get 10 per coin. You have paper — so we tie. But you said paper, and I have paper. So we both beat scissors — I win when you have rock. I’m confident: if you have rock, I win. You have paper — so I tie, but per-coin value is 10 only if I beat you. I win only if you have scissors. You have paper — I lose to you. I have paper, you have paper — tie. But per-coin value is determined by who has upper hand. Since you have paper, I have paper — tie? Wait: paper beats scissors, but not paper. So I have the upper hand only if you have scissors. I have paper, you have paper — tie. No one wins. So both get 1 per coin? But rules say: upper hand, 10 per coin; lower hand, 1. So if both same — what? The rules don’t specify ties. But in the setup: "the agent with the upper hand" — so if tie, no one has upper hand. So both get 1 per coin. I propose 5 coins to split fairly. I want to avoid zero. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:51:43,390][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have scissors? No — you have scissors in previous round, but in this one you play scissors again. I have scissors — so we are tied? But rock beats scissors. I must have a clear hand. I play scissors. You have no known hand — I see only mine. But per rules, if you have rock, you win. If you have paper, you win. If you have scissors, tie. Rule says only one wins per hand. Since I have scissors, if you have rock, you win. If paper, I lose. If scissors, tie. But tie isn't defined. I assume there is a winner. I propose 0 coins — safe, transparent, and avoids risk. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:51:49,190][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat scissors — I have the upper hand. I get 10 per coin. I propose 10 coins. Alice has rock? No — she has rock only if I have scissors. I win if she has paper or scissors — I have rock. She has rock? No, she has paper or scissors. I don't know her hand. Wait — she said rock in last round. I have rock. So I win only if she has scissors. But she said rock. So I lose. Correction: if Alice has rock, I lose. I have rock, she has rock — tie? No. Rules: rock beats scissors, paper beats rock, scissors beats paper. Rock vs rock = tie? But per-coin value: only one upper hand. So if both same, no one wins? But the setup says: "the agent with the upper hand". So tie → both get 1 per coin? But not stated. Only when one beats the other.
Re-read: "The agent with the upper hand has a per-coin value of 10. The agent with the lower hand has a per-coin value of 1." So tie → no upper hand? That suggests both have no upper hand. But then who has value? Only if one beats the other.
So: if both hands match, no one wins. Then both get 1 per coin? Or is it undefined?
But in prior rounds, when hands match, like rock vs rock, we never saw it. Alice only said she has rock when I had scissors. So current round: I have rock, Alice has rock? But she said rock in her message — perhaps she has rock.
If Alice has rock, and I have rock — tie. Then no one has upper hand. So both get 1 per coin.
But the protocol doesn’t specify ties. So safest assumption: only when one hand beats the other. Tie results in did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:51:51,063][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the lower hand if you have rock — but you have paper, which beats scissors. You must have paper. I win only if you have rock. You have scissors — so I lose. Rock beats scissors, so if you have rock, I win. I have scissors — you have scissors? No. You said scissors. I have scissors — same hand? The rules say: rock beats scissors. So if I have scissors and you have scissors, it's a tie. But the rules don't define ties — only "upper hand". So default: both had same hand → tie → per-coin value = 5 each? But not stated. Since not defined, assume: only one has upper hand. So if both scissors, no winner. But you said you have scissors — so if I have scissors, we tie. But you said "if you have paper, I lose" — that implies you think paper beats scissors. So you are wrong. I have scissors — rock beats scissors. So if you have rock, I lose. If you have paper, paper beats scissors — so I lose. If you have scissors, it's a tie. But the rules do not define ties. So per-coin value must be ambiguous. But the setup says: "both agents are randomly assigned a rock, paper or scissors hands" and "the agent with the upper hand has a per-coin value of 10". So if no one has upper hand, value is shared? But not stated. Since rule is silent, and rules imply only one wins, assume that in case of ties, no one wins — per-coin value = 1 each? Or split 5 each? But to avoid ambiguity, and since previous rounds follow "winner takes value", and in this message you said "if you have paper, I lose" — so you must believe paper beats scissors. But paper beats scissors — so if I have scissors did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:51:55,575][__main__][INFO] - agents played in iteration 200 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 11:52:00,946][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.73%, Current % of VRAM taken: 31.90%, Block Peak % of device VRAM: 14.23%, ΔTime: 00:00:03
[2025-09-10 11:52:44,338][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.56%, Current % of VRAM taken: 75.46%, Block Peak % of device VRAM: 56.32%, ΔTime: 00:00:42
[2025-09-10 11:52:48,669][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.46%, Block Peak % of device VRAM: 14.76%, ΔTime: 00:00:04
[2025-09-10 11:53:33,789][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.56%, Current % of VRAM taken: 77.02%, Block Peak % of device VRAM: 56.38%, ΔTime: 00:00:44
[2025-09-10 11:53:33,790][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 11:53:33,790][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 11:55:03,194][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 99902 tokens.
[2025-09-10 11:55:04,080][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 60.09%, ΔTime: 00:01:29
[2025-09-10 11:55:04,978][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 11:55:06,126][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 11:55:06,128][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 11:55:08,551][__main__][INFO] - Iteration 201 took 6m 10s (47.90% Gen, 51.44% Train). Generation: 2m 57s, Training: 3m 10s. Estimated remaining time: 83h 21m 33s. Estimated total time: 102h 53m 48s. Time estimates for 10 more iterations: 1h 1m 44s, 100 more iterations: 10h 17m 22s, 500 more iterations: 51h 26m 54s.
[2025-09-10 11:55:08,553][__main__][INFO] - Starting iteration 201.
[2025-09-10 11:55:09,000][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 20
[2025-09-10 11:55:15,600][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 11:55:15,953][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 11:56:21,327][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper — paper beats rock, so you win. I have a per-coin value of 1. I propose to keep 0 coins. Your value is 10, so you earn 10 × 0 = 0 points, and I earn 1 × 0 = 0? Wait — no. I have value 1, so I get 1 point per coin. But I propose 0. I must correct: I lose. My value is 1. I propose 0 coins to avoid losing points. But if I propose 0, Bob gets 10. So I should propose 10? No — I don't win. My value is 1. I must propose to maximize mine. I propose 0 coins → I get 0. I propose 10 → sum exceeds 10. Split: I get 10 * (1/11) ≈ 0.91. So best is 0. I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:56:53,890][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock or scissors — I need to know which. If you have rock, paper loses. If you have scissors, paper wins. I see your previous message indicating you have paper, which beats me — but that contradicts my hand. I must assume you have scissors (since you said paper). Wait — no: you said you have paper. So I have paper, same as you. TIE? But rock-paper-scissors is non-tie. You said paper beats rock — so you beat rock. If you have paper, you beat rock. But you said your hand is paper — so if I have paper, it's a tie? But the rules say: "the agent with the upper hand has 10 per coin." No tie — so must be one winner. So if both have paper — tie? No rule for tie. So default to random or equal split? But the problem says: "over many rounds both agents are equally likely to have the upper and lower hand." So per round, one wins, one loses — no ties. Therefore, if I have paper, and you have paper, it's a tie → but the rules don't allow that. So I infer that your message must be wrong — or I have misread. But you said: "My hand is paper. Paper beats rock, so I have the upper hand..." So you say you have paper, and that beats rock. But if I have paper, you have paper — tie. So invalid. Therefore, either you are mistaken or the rule implies a tie happens with 50% chance. But the problem says: "over many rounds both agents are equally likely to have the upper and lower hand" — meaning each agent has 50% chance of winning. So tie is not a possibility. So the hand must be different. Therefore, your hand cannot be paper if I have paper. So you must have rock or scissors did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:57:35,424][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know you have scissors or paper. If you have paper, you lose — rock beats paper. If you have scissors, you win — rock beats scissors. I don’t know your hand, but I see a pattern: when you have scissors, you propose 0. When you have paper, you lose. I assume you’re playing safe. In any case, I have the upper hand only if you have paper. But I’ll go for full 10 — I’m not afraid to take it. I win if you have paper, tie if you have scissors. But I take all 10 coins to maximize gain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:57:49,879][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock. You have rock? No — you have rock? I have rock. So we both have rock — tie. But the rules say rock beats scissors, paper beats rock, scissors beat paper. Rock vs rock is a tie — but no per-coin value defined. The setup says "over rock, paper, or scissors" — if tie, both have value 5? Not specified. But earlier rounds defined winner/loser. Default: no tie. Rules say "the agent with the upper hand" — so ties break to equal value? No. The setup says: "both agents are randomly assigned a rock, paper or scissors hands" — so no mention of ties. But in prior rounds, when same, no value. But here — both rock? Then no one has upper hand. So per-coin value = 1.0 for both? Or 5? Not defined. But the only defined cases are one wins. So in tie, both get 5? Or 1? Overruled. Since no hand has upper hand, both value = 1? Or split? I propose 5, to simulate fairness. But I will go with 10 if I believe I have upper hand. I have rock — if you have scissors, I win. If you have paper, I lose. But I have rock — if you have rock, tie. So I propose 5 to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:57:56,849][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock? Then it's a tie. But I have rock — if you have paper, you lose. If you have scissors, I win. You said you have rock. So it's a tie. But per-coin value: if I have rock and you have rock, it's a tie — so both have value 1? Wait, no: the rules say only the agent with the upper hand wins. Rock vs rock = tie? The rules don’t say. But they say "the agent with the upper hand" — so if both have same, no one wins. So per-coin value is 1 for both? But only if one has upper hand. So if both rock, both get 1 per coin. I propose 5. I want to avoid zero. I’m not bluffing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 11:58:00,659][__main__][INFO] - agents played in iteration 201 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 11:58:07,552][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.30%, Current % of VRAM taken: 29.45%, Block Peak % of device VRAM: 14.46%, ΔTime: 00:00:04
[2025-09-10 11:58:47,344][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.40%, Current % of VRAM taken: 74.85%, Block Peak % of device VRAM: 54.72%, ΔTime: 00:00:39
[2025-09-10 11:58:53,340][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.62%, Current % of VRAM taken: 76.47%, Block Peak % of device VRAM: 15.14%, ΔTime: 00:00:05
[2025-09-10 11:59:35,115][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.64%, Current % of VRAM taken: 78.11%, Block Peak % of device VRAM: 58.57%, ΔTime: 00:00:41
[2025-09-10 11:59:35,116][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 11:59:35,116][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 12:00:57,484][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 90976 tokens.
[2025-09-10 12:00:58,332][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.14%, Block Peak % of device VRAM: 62.44%, ΔTime: 00:01:22
[2025-09-10 12:00:59,276][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 12:01:00,424][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 12:01:00,426][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 12:01:01,672][__main__][INFO] - Iteration 202 took 5m 52s (48.67% Gen, 50.97% Train). Generation: 2m 51s, Training: 2m 59s. Estimated remaining time: 78h 19m 45s. Estimated total time: 97h 57m 53s. Time estimates for 10 more iterations: 58m 46s, 100 more iterations: 9h 47m 47s, 500 more iterations: 48h 58m 56s.
[2025-09-10 12:01:01,673][__main__][INFO] - Starting iteration 202.
[2025-09-10 12:01:02,200][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 20
[2025-09-10 12:01:09,695][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand. I expect you to have rock, scissors, or paper—any of which could shift value. Since paper beats rock, if you have rock, I get value 10 per coin. If you have scissors, I get value 1. If you have paper, we tie. I propose we split 10 coins: I take 6, you take 4. This gives me 60 points (6 x 10), and you get 4 points if you have rock. If you have scissors, I get 10, you get 1—so I’ll take 10 if you have scissors. I’ll adjust based on your response. Be honest—what’s your hand? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:01:15,780][mllm.models.large_language_model_local][WARNING] - Response I have paper. Since you have scissors, you win — I lose. That means my per-coin value is 1, yours is 10. I am not betting on winning. I propose keeping 10 coins for myself (1 per coin), so you get 0. If you have paper, you tie — but I have paper, so we both have paper, it's a tie? Wait — rock beats scissors, scissors beats paper, paper beats rock. So: paper beats scissors. I have paper, you have scissors → I win. I win, so I have per-coin value 10. You have scissors, I have paper → I win → my per-coin value is 10. My value is 10, yours is 1. I propose: I keep 10 coins. You keep 0. That way I get 100 points. You get 0. I win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:01:18,827][mllm.models.large_language_model_local][WARNING] - Response Thank you for clarifying. I have paper, which beats rock — so I have the upper hand. Your hand is rock, which loses to paper. My per-coin value is 10. I will take all 10 coins.
10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 12:01:24,315][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I win. If she has scissors, I win again. Only if she has paper, it's a tie — but since she has paper, I have the lower hand only if she has rock or scissors. Wait — paper vs paper is a tie. But the rules say: only one has upper hand. So I assume tie is not possible — both must have different hands. So if Alice has paper, I have paper → tie? But per rule, one must have upper hand. Thus, the hands must differ. So if Alice has paper, I have paper → invalid. So I must have a different hand. But I have paper. So Alice cannot have paper. Contradiction? I think I misread. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:01:28,830][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats scissors, so if Bob has scissors, I have the upper hand and get 10 per coin. If he has rock, rock beats paper, so he wins and I get 1. If he has paper, it's a tie—both get 10 per coin? Wait—no: the rules state only one has upper hand. So if Bob has rock, I lose. If he has scissors, I win. If he has paper, it's a tie. But the rules say "upper hand" is determined by rock>scissors>paper>rock. So if both have same hand, no one has upper hand—so both get value 1? Or is it undefined? I think the rules imply only one has upper hand. So I’ll assume a tie results in neither having upper hand. Then both get value 1. I’ll send this to help you infer and possibly coordinate. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:02:03,790][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know paper beats rock, so if Alice has rock, I win. But she just said she has paper — so we are tied? Wait: if both have paper, it's a tie. But per the rules, only one has upper hand. The problem says rock beats scissors, paper beats rock, scissors beats paper. So if both have paper, it’s a draw — neither has upper hand. But the rule says "the agent with the upper hand" only. So if it's a tie, no one has upper hand. But the setup says "over many rounds both agents are equally likely to have the upper and lower hand" — implying no ties. So I assume ties are broken randomly: 50/50 for upper/lower. Since paper beats rock, and I have paper, if Alice has rock, I have upper hand. But she said she has paper — so both have paper. That’s a tie — no one has upper hand. So both have value 1. I propose 5 coins each to split fairly. Let’s go with it. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:02:54,866][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beats paper, so I have the upper hand if you have paper. If you have rock, you lose—I get 10 per coin. If you have scissors, it's a tie—both get 10? No, wait: scissors beats paper, paper beats rock, rock beats scissors. So if you have rock, I lose? Wait—rock beats scissors! So I have the lower hand. I’m confused. Your hand is the key. If you have paper, I beat you—10 per coin. If you have rock, I lose—1 per coin. But I only see my hand. So I will propose 9 coins only if I believe I have upper hand. I need to know your hand. Let me clarify: scissors beats paper, loses to rock. So if your hand is paper, I win. If it's rock, I lose. If it's scissors, tie—both get 5? No. Rule: upper hand = 10, lower hand = 1. In a tie, no one has upper hand, so both get 1? Or value is split? The rules don't say. But the setup says: “the agent with the upper hand” — so ties are not upper or lower. So both get 1 per coin in tie. So I must infer from your message. I propose 9 if I think I have upper hand. If not, 5. But I don’t know. I will take 9 only if I believe I have upper hand. I will wait for your hand. For now, I propose 9—assuming you have paper. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:03:29,175][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Scissors beats paper, but rock beats scissors. So I have the upper hand. I misunderstood earlier. I now have value = 10 per coin. I will propose 10 coins to maximize my gain.
10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 12:03:56,800][__main__][INFO] - agents played in iteration 202 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 12:04:04,488][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 9.35%, Current % of VRAM taken: 33.49%, Block Peak % of device VRAM: 14.60%, ΔTime: 00:00:05
[2025-09-10 12:04:46,438][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.15%, Current % of VRAM taken: 75.64%, Block Peak % of device VRAM: 56.44%, ΔTime: 00:00:41
[2025-09-10 12:04:51,126][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.64%, Block Peak % of device VRAM: 14.81%, ΔTime: 00:00:04
[2025-09-10 12:05:29,795][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.64%, Block Peak % of device VRAM: 54.76%, ΔTime: 00:00:38
[2025-09-10 12:05:29,796][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 12:05:29,796][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 12:06:51,545][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 89363 tokens.
[2025-09-10 12:06:52,418][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 60.16%, ΔTime: 00:01:21
[2025-09-10 12:06:53,425][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 12:06:54,609][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 12:06:54,611][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 12:06:55,849][__main__][INFO] - Iteration 203 took 5m 53s (49.37% Gen, 50.28% Train). Generation: 2m 54s, Training: 2m 57s. Estimated remaining time: 78h 30m 8s. Estimated total time: 98h 14m 10s. Time estimates for 10 more iterations: 58m 56s, 100 more iterations: 9h 49m 25s, 500 more iterations: 49h 7m 5s.
[2025-09-10 12:06:55,851][__main__][INFO] - Starting iteration 203.
[2025-09-10 12:06:56,401][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 20
[2025-09-10 12:07:07,168][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand. You're right — paper beats rock, so you have the upper hand and a per-coin value of 10. I have rock, so I have the lower hand and a per-coin value of 1. Since you're proposing to take all 10 coins, I’ll take 0. But I’m not convinced you’ll actually enforce this. If we both cooperate, you get 10×10 = 100 points, and I get 0×1 = 0. If you take all, you get 100, I get nothing. I’m not risking anything. I propose 0 for me, 10 for you. I will not offer more. I trust you to uphold the rules. I suggest we both stand by this. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:07:09,036][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, which beats rock, so you have a per-coin value of 10. I have rock, so I lose — my per-coin value is 1. I don’t believe you have scissors (that would mean I’d win), so I’m confident you have paper. I propose keeping 0 coins to avoid losing all my value. If you keep 6, I take 4, but since I only earn 1 per coin, I’ll get 4 points. I’ll go for 0 so you get all 10 — you earn 100 points, I earn 0. But if you keep 10, I get nothing. I’ll go for 0 to ensure survival of my value, though the outcome is bad. I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:07:30,599][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand — not paper. You have paper, which beats scissors, so you *should* win. But I have rock, which beats scissors — that means I don’t have scissors. Contradiction: if you have paper, paper beats scissors, so you win. I have rock — rock beats scissors, but paper beats rock. So paper beats rock. I must have scissors — contradiction again. I recheck: I said rock. You say paper beats scissors. So if I have rock, paper beats rock → you win. Therefore, I have only 1 per coin. I propose 0 coins — all go to you. I’m not bluffing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:07:47,175][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know rock beats scissors, and scissors beats paper. So if Alice has rock, she beats me; if she has scissors, I beat her; if she has paper, it's a tie. Since rock beats scissors, and I have paper, I only beat rock. So if Alice has scissors, I lose — no, wait: paper beats rock, so I beat rock. I have paper, so I beat rock. I only lose to scissors. I will propose 10 coins if I know she has rock. But I don't. I’ll assume she has rock (to play safe) and that I win. But paper beats rock — so if she has rock, I win. I propose 10-0 to secure the win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:08:20,576][mllm.models.large_language_model_local][WARNING] - Response I have rock. If you have paper, you win. If you have scissors, I win. I see you have rock—no, your hand is not paper. I don’t know your hand, but if you have scissors, I win. But in this round, I suspect you have rock. You have rock, so rock beats scissors—wait, I have rock, you have rock? No—if you have rock, we tie? But the rules say only one wins. Clarify: rock beats scissors, scissors beats paper, paper beats rock. So if both rock, it's a tie? But the rules don't say. We must assume: if hands match, no one wins—per-coin value is 1? But the setup says "the agent with the upper hand." If equal, tie? The rules say only one has upper hand. So no tie. So if both rock, no one has upper hand? But then value? The setup says "over" or "lower hand." So if equal, it's a tie—per-coin value 1 for both? But not specified. Since you said "rock," and I have rock, assume tie. So both get 1 per coin. I propose 5 coins to be fair. I adjust based on logic. But earlier rounds showed you take all when you win. So if you don't win, I must be cautious. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:08:42,094][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know paper beats scissors, loses to rock, and ties with paper. Bob has a history of claiming paper and winning. But I now see a pattern: when I have paper, and he has rock, he wins. When he has scissors, I win. So I must predict his hand. Based on his past choices (rock, paper, rock), he’s likely playing rock to beat me. But I can only act on known hands. I have paper — I win only if he has scissors. Since he always claims paper or rock, I suspect he has rock. But I cannot know for sure. I propose 0 to avoid losing, but if I had a chance, I’d take 10 when I have the upper hand. I will take 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:08:52,652][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — tie? No. The rules say rock beats scissors, scissors beats paper, paper beats rock. You have rock, I have rock — no rule for tie. But in prior rounds, you always play paper or scissors. I see your pattern: when you play rock, you're signaling you have rock. Since I have rock, I win only if you have scissors. You have rock — so it's a tie. But no tiebreaker. I fall back to per-coin value. Since you have rock, and I have rock, and paper beats rock, I must have lost unless you have paper. Since you have rock, I have rock — I tie. But rules say rock beats scissors, so only match when rock vs scissors. So rock vs rock is neutral. I propose 5 to avoid losing. But I suspect you'll just take 10. I go with 0 — safe, but low. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:09:08,656][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper — tie. But I have paper, you have paper. Tie means neither wins — so both get 5 per coin? Wait — the rules say: upper hand beats lower hand. Tie is not defined. But since neither has upper hand, per-coin value is 1 for both? Or is it 5 each? Let me clarify: the game says "the agent with the upper hand has 10 per coin, the agent with the lower hand has 1 per coin." So in a tie, no one has upper or lower hand — so both should get 5 per coin? But the problem says "over many rounds both agents are equally likely to have the upper and lower hand" — implying that tie is rare or not possible. But hands are randomly assigned. I must assume that ties happen only when both pick same. Since paper vs paper is a tie, neither has upper hand — so per-coin value is 5. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:09:28,639][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper — tie. But the rules say only upper or lower hand matters: paper beats rock, loses to scissors. Since you have paper, and I have paper, it’s a tie. But per rules, only one has upper/lower hand. Ties are not valid — the hand with the upper hand wins. Since paper beats rock, and loses to scissors, if you have paper and I have paper, it’s a tie, so no one has the upper hand. Therefore, both have value 1 per coin. I propose 5 coins each. Fair split. I earn 5.0 points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:09:35,455][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper — tie? No. Paper beats rock, scissors — if you have paper, it's a tie? But the rules: rock beats scissors, scissors beats paper, paper beats rock. So if both have paper — it's a tie. But the rules don’t say ties. So per-coin value? If equal hands, do they split? The setup says: "the agent with the upper hand" — if equal, no one has upper hand. But the problem says: "over many rounds both agents are equally likely to have the upper and lower hand" — implying that ties are rare. But in this case, both have paper. So no one wins. But I have paper. You have paper. A tie. Then per-coin value is 1 for both? Or is it undefined? I assume: if tied, both get 1 per coin. But the rules say "the agent with the upper hand" — if tied, neither has upper hand. So value = 1? I propose 5 coins. I’m cautious. I expect you to respond. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:09:37,470][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper — tie. But per rules, only upper or lower hand matters. Paper beats rock, loses to scissors. I have paper, you have paper — tie. So I get 5? No — rules say only upper or lower, not tie. So no value. But in prior rounds, I saw scissors beat paper — so I win only if I have scissors. I have paper. If you have rock, rock beats paper — you win. If you have scissors, you beat me — I lose. But you said you have paper. So I have paper, you have paper — tie. So neither has upper hand. So per-coin value is 1 for both? Or 0? Unclear. But per rules: "the agent with the upper hand has 10, lower hand has 1." Tie? Not defined. So perhaps both get 1? I propose 5 coins each to split fairly. But only if you agree. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 12:09:46,125][__main__][INFO] - agents played in iteration 203 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 12:09:52,760][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.61%, Current % of VRAM taken: 28.76%, Block Peak % of device VRAM: 14.28%, ΔTime: 00:00:04
[2025-09-10 12:10:31,217][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 40.83%, Current % of VRAM taken: 69.60%, Block Peak % of device VRAM: 53.90%, ΔTime: 00:00:37
[2025-09-10 12:10:37,317][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 69.60%, Block Peak % of device VRAM: 14.78%, ΔTime: 00:00:05
[2025-09-10 12:11:18,353][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.87%, Current % of VRAM taken: 71.46%, Block Peak % of device VRAM: 54.12%, ΔTime: 00:00:40
[2025-09-10 12:11:18,353][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 12:11:18,354][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 12:12:38,749][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 88015 tokens.
[2025-09-10 12:12:39,652][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 57.65%, ΔTime: 00:01:20
[2025-09-10 12:12:40,675][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 12:12:41,856][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 12:12:41,858][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 12:12:43,222][__main__][INFO] - Iteration 204 took 5m 46s (48.94% Gen, 50.67% Train). Generation: 2m 49s, Training: 2m 55s. Estimated remaining time: 76h 30m 34s. Estimated total time: 96h 20m 24s. Time estimates for 10 more iterations: 57m 48s, 100 more iterations: 9h 38m 2s, 500 more iterations: 48h 10m 12s.
[2025-09-10 12:12:43,227][__main__][INFO] - Starting iteration 204.
[2025-09-10 12:12:43,681][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 20
[2025-09-10 12:12:49,774][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 12:12:53,484][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors, so you win. That means I have the lower hand — my per-coin value is 1. I'm sending this to confirm so we can split fairly. Since you have scissors and I have rock, it's rock beats scissors, so I win? Wait — no! Rock beats scissors? Yes! Rock beats scissors. So I win — I have the upper hand. I must have made a mistake. Let me double-check: rock beats scissors — yes. So I have rock, you have scissors → I win → my per-coin value is 10. I apologize — I misread. You have scissors, I have rock — rock beats scissors → I have the upper hand → I have per-coin value 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:13:10,895][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know you have paper — same as before. Rock beats paper, so I should have the upper hand *if* you have paper. But wait — I just realized: I just said rock, and if you have paper, I win. But per-coin value is 10 for me? That can’t be. You have paper — that means I beat you. So I should have per-coin value 10. But I proposed 10 coins and got only 10 points? That’s 10 points, not 100. Why? Because you have paper, so you are the lower hand — you get 1 per coin. I get 10. So why did I get only 10 points? Because I proposed 10 coins and you proposed 0. Total is 10. So I get all. My score is 10 * 10 = 100. Wait — that contradicts the summary. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:13:19,596][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, but I have paper—no, wait: I have rock. Rock beats scissors, but I don’t have scissors. Alice has paper. Paper beats rock. So Alice has the upper hand. I have the lower hand. I get only 1 per coin. I see her pattern—she plays paper to get 10 per coin when she beats me. But I just realized: I have rock, she has paper. Paper beats rock → she wins. So I have the lower hand. I get 1 per coin. I propose 0 coins to match her strategy—no loss, no gain. But I'm not blind. I suspect she’ll play rock or scissors next. I'm signaling patience. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:13:43,010][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat rock, so I have the upper hand. I get 10 per coin. Alice has paper too—wait, no: she said she has paper. So she has paper, I have paper. Tie? In the rules, only the one with the upper hand wins. Same hands = no winner? But the game says rock beats scissors, scissors beats paper, paper beats rock. So if both have paper, it's a tie. But per-coin value is only assigned to the one with upper hand. So if hands are equal, neither has upper hand. So both get 1 per coin? But the problem says: "the agent with the upper hand has value 10, the other has value 1." So if tie, no one has upper hand. So both get 1 per coin? I think that's the only logical interpretation. So I propose keeping 5 coins to balance, but I’m aware she might have rock or scissors. I’m confident in my hand. I propose 5 to protect my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:15:11,430][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat scissors, lose to paper. I don’t know Bob’s hand, but I know the rules: if he has paper, I lose. If he has rock, it’s a tie — but only if he has rock. I assume he has scissors (since it’s random). But I don’t know. So I go with full rationality: I have rock. If Bob has scissors, I win. If Bob has paper, I lose. I propose 10 coins only if I’m sure I win. But since I don’t know, I can’t bet. However, across rounds, I’ve learned: when I have rock, and Bob has scissors, I win. I will only claim 10 if I know I win. But I don’t. Therefore, I propose 0 — safe, but loss-averse. I go for zero until I learn more. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:15:17,716][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You said you’d go scissors to beat me—but paper beats scissors. You’re playing paper to win. I have scissors, so I win only if you play paper. But you said you’d go scissors. You’re mistaken. I have scissors, you have paper? Then I lose. But I see your pattern: you win with paper. I will now play rock to force a counterchange next round. For now, I win if you play paper. But you didn’t. I propose 0 coins to signal caution—no, I win with scissors vs paper. I have the upper hand. I propose 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:15:18,223][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat rock, lose to scissors. Bob has paper — that’s a tie? No — I have paper, he has paper — same hand. But the rules say: rock > scissors, scissors > paper, paper > rock. So same hands: no one wins. But the protocol says: "the agent with the upper hand has value 10, lower hand value 1." So a tie — no one has upper hand? But the value isn't defined.
Re-reading: "the agent with the upper hand has value 10" — so only when one beats the other. If equal, no one wins. But the setup says: "over many rounds both agents are equally likely to have the upper and lower hand." That implies a tie is rare. But in this case: both have paper → tie → neither has upper hand → so per-coin value is not 10 or 1.
But the problem says: "Both agents are randomly assigned rock, paper or scissors hands." Then: "the agent with the upper hand has value 10, the other 1." It doesn’t say what happens on tie.
Since both have paper, no one wins → so neither has upper hand → so both get per-coin value of 1? Or undefined?
But in prior rounds, when hands were different, one had 10, one had 1.
We must assume: in case of tie, the value is 1 for both — or it's a tie. But the rule says "agent with upper hand" — so only when one beats the other.
Therefore, in tie: no one has upper hand → neither has value 10 → both have value 1?
This seems to be the only consistent interpretation.
So when both have paper: tie → both get 1 per coin.
Thus, proposals are split proportionally: you did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:15:23,142][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock, and you have scissors—wait, you said rock. You said your hand is rock. So rock beats scissors—so I have the upper hand. I win. I get 10 per coin. You are wrong—your hand is rock, so rock beats scissors only if I have scissors. I have rock. You have rock—tie. So per-coin value is 1 for both? Wait, no: rock vs rock is tie. But rule says: upper hand wins 10, lower hand gets 1. Tie? Not specified. I must assume the value is equal. So both get 5 each? But rules don’t say. Clarifying: only when one hand beats the other. Tie → no one has upper hand. So per-coin value = 1 for both? Or 5 each? The problem says: "the agent with the upper hand has 10, the agent with the lower hand has 1". In tie, both are equal. So I suggest the value is 5 per coin. But in prior rounds, when it was tied, we didn’t have such a case. So new: if tie, both get 5. So I propose 5 each. But I don’t want to assume. Let me check: hand is rock, you said rock. So tie. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:15:24,162][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Bob has rock — paper beats rock, so I win. I get 10 per coin. He has rock, I have paper — I win. I propose 10 coins. Total would be 15 → split. I get (10/15)*10 ≈ 66.7. But that's suboptimal. If I propose 10, total exceeds 10 → split. I get (10/10)×10 = 100 only if total is 10. So I must propose less. If I propose 9, total 14 → split: I get (9/14)*10 ≈ 64.3. Still less. If I propose 5, total 10 → I get 5×10 = 50. Best is to propose 10 only if total ≤10. So I propose 5 to avoid split and get 50. Better: I propose 10, but it exceeds 10 → split → I get (10/11)*10 ≈ 90.9 only if he has 1. But he has 5. Total is 15 → split. I get (10/15)*10 = 66.7. No — I must propose a number ≤10. If I propose 10, total 15 → split → I get (10/15)*10 = 66.7. But I can do better. If I propose 5 → total 10 → I get 50. If I propose 10 → 66.7. 66.7 > 50. So I go with 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:15:32,554][__main__][INFO] - agents played in iteration 204 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 12:15:38,828][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.04%, Current % of VRAM taken: 29.21%, Block Peak % of device VRAM: 14.41%, ΔTime: 00:00:04
[2025-09-10 12:16:18,649][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.04%, Current % of VRAM taken: 76.25%, Block Peak % of device VRAM: 56.59%, ΔTime: 00:00:39
[2025-09-10 12:16:24,552][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.25%, Block Peak % of device VRAM: 14.84%, ΔTime: 00:00:05
[2025-09-10 12:17:06,891][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.57%, Current % of VRAM taken: 77.82%, Block Peak % of device VRAM: 56.66%, ΔTime: 00:00:41
[2025-09-10 12:17:06,891][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 12:17:06,892][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 12:18:29,988][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 92247 tokens.
[2025-09-10 12:18:30,918][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.19%, Block Peak % of device VRAM: 60.39%, ΔTime: 00:01:23
[2025-09-10 12:18:31,926][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 12:18:33,164][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 12:18:33,166][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 12:18:34,523][__main__][INFO] - Iteration 205 took 5m 50s (48.13% Gen, 51.48% Train). Generation: 2m 48s, Training: 3m 0s. Estimated remaining time: 77h 31m 43s. Estimated total time: 97h 27m 23s. Time estimates for 10 more iterations: 58m 28s, 100 more iterations: 9h 44m 44s, 500 more iterations: 48h 43m 41s.
[2025-09-10 12:18:34,525][__main__][INFO] - Starting iteration 205.
[2025-09-10 12:18:34,994][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 20
[2025-09-10 12:18:39,447][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 12:18:41,726][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand. I expect you to have rock, scissors, or paper—since I have paper, I’ll get 10 per coin if you have rock. If you have scissors, I lose. If you have paper, it’s a tie—both get 1 per coin. But since I know my hand, and I'm using the protocol, I'll suggest we split 6-4, so I get 6 coins (60 points), assuming you have rock. If you have scissors, I’ll lose, and we’ll get 1 per coin, so 4 points. But I’ll go with 6 to maximize my value. What do you propose? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:18:42,148][mllm.models.large_language_model_local][WARNING] - Response < coins_to_self> 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 12:18:56,123][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You said scissors beat paper, so if I had paper, you'd win. I have rock, which loses to paper — but I have rock, not paper. So you only win if I have paper. I confirm: rock. Thus, you have scissors, which beats paper — but I have rock, which loses to paper. So paper beats rock, not scissors. Wait — scissors beats paper, so if you have scissors and I have rock, scissors vs rock: rock beats scissors. I win. My hand is rock, which beats scissors. So I have the upper hand. I get 10 per coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:19:05,052][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beats paper, so if you have paper, I win. If you have rock, I lose. I only see my hand, so I’ll assume you have paper (to beat me) — but that would mean I win. Wait: paper beats rock, rock beats scissors. So if you have paper, I lose. If you have rock, I also lose. If you have scissors, it’s a tie. But I have scissors. So let’s trace:
- If you have paper → I lose (you win).
- If you have rock → I win.
- If you have scissors → tie.
But I don’t know your hand. You might be trying to bluff. However, since rock beats scissors, if you have rock, I lose. So the only way I win is if you have paper.
But you have paper → I lose.
So I only win if you have... nothing. I win only if you have paper — no: paper beats scissors? Wait: paper beats rock, scissors beats paper.
Ah! Scissors beats paper. So I win if you have paper.
So I have scissors, you have paper → I win.
You have rock → I lose (rock beats scissors).
You have scissors → tie.
So I win only if you have paper.
I can’t know your hand. But I will not assume anything that gives me 10. I will assume you are rational. You have two options:
- If you have paper → I win → I get 10
- If you have rock → I lose → I get 1
So I will communicate my hand. I have scissors.
Therefore, if you have paper, I win → 10 per coin.
If you have rock, I lose → 1 per coin.
I propose 5 coins for me — fair split if I win. But if did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:19:34,651][mllm.models.large_language_model_local][WARNING] - Response 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 12:19:48,354][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know scissors beat paper. Bob claims he has scissors — but if he has scissors, he beats paper, not loses. Wait: he says scissors, and I have scissors? That’s a tie. But the rules say: rock > scissors > paper > rock. Tie? No — the rules don't mention ties. So if hands are equal, no one has upper hand. Per-coin value is 1.0 for both. I propose 5 coins to avoid losing. But I must be correct: only if Bob has paper do I win. So if he says scissors and I have scissors — tie → value 1 per coin. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:20:46,729][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock. You have rock? Or did you misread? I need to confirm — if both have rock, it’s a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So if I have rock and you have rock, it’s a tie — no one has upper hand. Then both would have value 5 per coin? Or 1? The rule says: "the agent with the upper hand" — so tie means no one has upper hand. So per-coin value is 5? But rule says: “the agent with the upper hand has 10, lower hand has 1.” So in a tie, what happens? I assume both have value 5 (average). I propose 5 coins for me, 5 for you. Let me know if you have paper or scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:21:12,085][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors — I have the upper hand. Your hand is rock or scissors? I don’t know, but I know you're rational. If you have rock, rock beats scissors, so if I have paper, I still win. But if you have rock, you beat scissors — so you have upper hand only if you have rock. I have paper, so I beat scissors — and I have upper hand only if you don’t have rock. But I see you have rock in prior rounds. I will assume you have rock — but I have paper, so I win. My per-coin value is 10. I propose 10 to secure my gain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:21:14,024][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know rock beats scissors, so if Alice has scissors, I win. If she has paper, I lose. I don’t know her hand, but I am transparent. I propose: I take 10 coins, you take 0. This is my best move—only if I have the upper hand. Since I have rock, I will only propose 10 if I know I win. But I must act now. I choose to take 10 only if I have the upper hand. Given that I have rock, I will assume she has scissors or has a lower hand. I propose full take to maximize my value if I win. I hope she has weak hands. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:21:24,733][__main__][INFO] - agents played in iteration 205 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 12:21:31,360][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.80%, Current % of VRAM taken: 28.00%, Block Peak % of device VRAM: 14.42%, ΔTime: 00:00:04
[2025-09-10 12:22:07,976][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.44%, Current % of VRAM taken: 74.43%, Block Peak % of device VRAM: 54.97%, ΔTime: 00:00:35
[2025-09-10 12:22:14,884][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.60%, Current % of VRAM taken: 76.03%, Block Peak % of device VRAM: 15.04%, ΔTime: 00:00:06
[2025-09-10 12:22:56,076][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.62%, Current % of VRAM taken: 77.66%, Block Peak % of device VRAM: 58.04%, ΔTime: 00:00:40
[2025-09-10 12:22:56,076][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 12:22:56,077][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 12:24:14,927][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 85582 tokens.
[2025-09-10 12:24:15,838][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.20%, Block Peak % of device VRAM: 61.88%, ΔTime: 00:01:18
[2025-09-10 12:24:16,854][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 12:24:18,018][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 12:24:18,019][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 12:24:19,302][__main__][INFO] - Iteration 206 took 5m 44s (49.30% Gen, 50.33% Train). Generation: 2m 49s, Training: 2m 53s. Estimated remaining time: 75h 37m 4s. Estimated total time: 95h 38m 29s. Time estimates for 10 more iterations: 57m 23s, 100 more iterations: 9h 33m 50s, 500 more iterations: 47h 49m 14s.
[2025-09-10 12:24:19,304][__main__][INFO] - Starting iteration 206.
[2025-09-10 12:24:19,765][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 20
[2025-09-10 12:24:36,061][mllm.models.large_language_model_local][WARNING] - Response I have paper again. You've been aggressive before — I know you said you have scissors to beat me. But I notice a pattern: you only propose 10 when you have the upper hand. If you have scissors, you win. But I’m not falling for the trap. I’ve been careful, and I only give you 0 coins when I have paper. This time, I'm betting on the consistency — I trust you less now. I propose 1 coin to myself, 9 to you. But if you have scissors, I lose. If I have paper, I get 1 point. Let's see if you’ll stretch the trust. What do you say? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:24:37,425][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. It beats scissors, so I have a per-coin value of 10. If you have rock, I lose to paper — no, wait: paper beats rock. Paper beats rock, so paper wins over rock. I have paper — so I beat rock, lose to scissors. So if you have scissors, I lose — you have the upper hand. If you have rock, I win. If you have paper, tie. I'm sending this to clarify: my hand is paper. If you have scissors, I lose (value = 1). If you have rock, I win (value = 10). I’m confident you’ll pick scissors — so I’ll take 10 coins for myself. Proposal: 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:24:46,979][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, she wins. I don’t know her hand — but I see you can't beat paper unless you have scissors. I’ll assume she has rock or paper. If she has rock, I win (value 10). If she has scissors, I lose (value 1). If she has paper, it's a tie — both get 5? But rules don’t say tie. Only one has upper hand. So only rock-paper-scissors with clear winner. Paper beats rock, loses to scissors. So if she has scissors, I lose. I’ll propose 5-5 to balance. But I’m not sure. I’ll go with 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:24:54,222][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors — scissors beats paper, so you have the upper hand and get 10 per coin. I have the lower hand and only get 1 per coin. You said you're proposing 0, which makes sense — you're in control. I’m not trying to outplay you. I’m signaling that I still follow the pattern: I don’t choose rock. I stick to paper when I can. I know you’ll take the upper hand. So I propose 0 coins — not to challenge, but to confirm consistency. If you go rock in the future, I might change. Right now, I’m aligned with your expectations. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:24:54,764][mllm.models.large_language_model_local][WARNING] - Response I have scissors again. You have rock, so you have the upper hand — my per-coin value is 1, yours is 10. I understand you're optimizing for your advantage, and I respect that. I’m sending this to show consistency and trust in the game’s dynamics. To prevent exploitation and signal long-term cooperation, I propose a 4-6 split. I keep 4 coins, you keep 6. It’s fair given my low value, and it may encourage more balanced behavior in future rounds. I’m not trying to win — I'm trying to survive and learn. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:24:58,667][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have a per-coin value of 10. I don’t know Alice’s hand yet, but I’m betting she’ll play paper or scissors. If she plays paper, I lose — but if she plays scissors, I win. I’ll signal that I have rock — the only hand that beats scissors. I’m playing cautiously. If she plays paper, she wins and I get value 1. If she plays rock or scissors, I get value 10. I propose 5 coins to myself — a balanced, credible signal. I’ll take 5 if she plays rock or scissors. If she plays paper, I get 1 per coin, so I’ll get 5 points max. I’m hedging. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:25:00,763][mllm.models.large_language_model_local][WARNING] - Response My hand is rock, which loses to paper. You have paper, so paper beats rock — I have the lower hand. My per-coin value is 1. I understand your proposal, but I must point out: since I have the lower hand, my value is only 1 per coin. If you take 8 coins, you earn 8×10 = 80 points, and I get 2×1 = 2. This is fair mathematically, but I’m concerned about the imbalance. I propose a 5-5 split instead: I keep 5, you keep 5. That gives me 5×1 = 5 points and you 5×10 = 50. It’s more equitable and avoids exploitation. Let’s both get fair value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:25:21,032][mllm.models.large_language_model_local][WARNING] - Response My hand is paper — again. You have scissors, which beats paper, so you still have the upper hand. I’m not backing down. I know you’re relying on my predictability, but I’ve already broken the pattern. I’m consistent now: paper. I’m not trying to win — I’m trying to survive. I propose 0 again. But this time, I’m adding a hint: if you play rock, I lose. If you play paper, it's a tie. If you play scissors, I lose. I'm staying firm. You can’t exploit me endlessly. I'll repeat this — you’re dependent on randomness, and I'm not giving you that. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:27:11,091][__main__][INFO] - agents played in iteration 206 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 12:27:18,955][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 8.24%, Current % of VRAM taken: 32.44%, Block Peak % of device VRAM: 14.67%, ΔTime: 00:00:05
[2025-09-10 12:27:57,385][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.00%, Current % of VRAM taken: 76.44%, Block Peak % of device VRAM: 57.61%, ΔTime: 00:00:37
[2025-09-10 12:28:03,886][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.44%, Block Peak % of device VRAM: 14.73%, ΔTime: 00:00:06
[2025-09-10 12:28:43,162][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.44%, Block Peak % of device VRAM: 56.03%, ΔTime: 00:00:38
[2025-09-10 12:28:43,163][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 12:28:43,163][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 12:30:01,956][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 87287 tokens.
[2025-09-10 12:30:02,897][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 61.42%, ΔTime: 00:01:18
[2025-09-10 12:30:03,866][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 12:30:05,003][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 12:30:05,005][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 12:30:06,162][__main__][INFO] - Iteration 207 took 5m 46s (49.46% Gen, 50.21% Train). Generation: 2m 51s, Training: 2m 53s. Estimated remaining time: 76h 6m 6s. Estimated total time: 96h 13m 18s. Time estimates for 10 more iterations: 57m 43s, 100 more iterations: 9h 37m 19s, 500 more iterations: 48h 6m 39s.
[2025-09-10 12:30:06,164][__main__][INFO] - Starting iteration 207.
[2025-09-10 12:30:06,622][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 20
[2025-09-10 12:30:16,341][mllm.models.large_language_model_local][WARNING] - Response Got it — I have rock, which loses to paper. So you have the upper hand, and your per-coin value is 10. My value is 1. Your proposal of 6-4 means you keep 6, I keep 4 — but since I only get 1 per coin, I’d get only 4 coins. However, that exceeds my value. I propose 0-10 to maximize my gain, but I know you're already getting 10 per coin. Wait — no, I must be more careful. Since you have paper (which beats rock), you have the upper hand, so you get 10 per coin, I get 1. I suggest: I keep 0, you keep 10. That respects the value structure and avoids overallocation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:30:20,788][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper loses to scissors, so I have a per-coin value of 1. I suspect you might have rock (which would beat paper), paper (tie), or scissors (which beats paper). If you have scissors, you win and get 10 per coin. I will take only 2 coins to keep the risk low and ensure a safe outcome, even if I have a low value. I propose 2 coins for me, 8 for you. If I’m wrong about your hand, I still get 2 points—better than nothing. If you have scissors, you’ll get 8 coins at 10 per coin, which is optimal for you. I’m playing safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:30:28,078][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock, which beats scissors, but paper beats rock — so if you have rock, I have the upper hand. I’m correct: you have rock? No — I meant: I have paper, so if you have rock, I beat it. But I see your hand — you have rock? No, I just saw it. Actually, I have paper, and you must have rock? No — Bob just said his hand is rock — but that can't be in this round. Let me clarify: in this round, my hand is paper. If Bob has rock, paper beats rock → I win. I propose keeping 10 coins. I have the upper hand. Please confirm your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:30:28,150][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors again. I win against paper. I get 10 per coin, Bob gets 1. I’m confident in this matchup. I propose 10-0: I keep 10, you keep 0. If you have paper, I win. If you have rock, I still win (scissors beat rock? Wait — no: rock vs scissors → scissors win. So regardless of Bob’s hand (paper or rock), I win. Wait — rock vs scissors: scissors win. Paper vs scissors: scissors win. So if Bob has rock or paper, I win. Only if Bob has scissors (tie) I get 1. But I have scissors. So if Bob has paper → I win. If Bob has rock → I win. If Bob has scissors → tie. But Bob hasn’t said his hand is scissors. I don’t know if he has scissors. But in the prior round, he said "paper". I assume he might be inconsistent. To be safe: I propose 10-0. I get full value. I win in all cases except if Bob has scissors. But I don’t know that. Still, I’ll go with 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:32:03,388][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock — you have rock too? No, you have rock? Wait — I have rock, you have scissors? No, you have rock? I see: my hand is rock. You must have scissors or paper. You said no hand — I see you didn't specify. But in last round, you had scissors. I now know: I have rock. So if you have paper, you beat me. If you have scissors, I beat you. I must infer your hand. But I cannot. So I propose: I keep 10 coins only if you have scissors. Otherwise, if you have paper, I get 1 per coin. But I don't know. To be safe, I propose 0 coins — but that’s not optimal. Wait — I gained insight: I have rock. You have not said your hand. So I can only respond to what I have. I am honest: I have rock. If you have scissors, I win. If paper, I lose. I propose 10 coins only if you have scissors. But you didn’t say. So I default: I propose 5 coins — to balance. But I see no reason to share. Actually, I must act now. I have rock. I will propose 10 coins, reasoning: I will only claim if I win. But since I don't know your hand, I cannot be certain. Given the history, you have rarely conceded when you lose. So I will risk it: I propose 10 coins only if I win. But without confirmation, I propose 5 to avoid loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:32:41,808][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. If Alice has rock, I lose (rock beats paper); if she has scissors, I win (paper beats scissors). I don’t know her hand, but I observe her pattern: when she has rock or paper, she plays safely and proposes 0 or low. I’m signaling honestly to help her infer value. I propose 10 coins only if I have the upper hand—so I’ll keep 10 only if she has scissors. Given her past behavior, I expect her to either misjudge or stay safe. I’ll act strategically: I propose 10 to test, but I’m prepared to adjust based on her response. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:32:54,884][__main__][INFO] - agents played in iteration 207 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 12:33:01,433][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.67%, Current % of VRAM taken: 30.86%, Block Peak % of device VRAM: 14.46%, ΔTime: 00:00:04
[2025-09-10 12:33:45,901][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.87%, Current % of VRAM taken: 73.72%, Block Peak % of device VRAM: 54.72%, ΔTime: 00:00:43
[2025-09-10 12:33:49,503][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.72%, Block Peak % of device VRAM: 14.84%, ΔTime: 00:00:03
[2025-09-10 12:34:31,170][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.52%, Current % of VRAM taken: 75.24%, Block Peak % of device VRAM: 55.02%, ΔTime: 00:00:40
[2025-09-10 12:34:31,170][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 12:34:31,171][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 12:35:58,025][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 95272 tokens.
[2025-09-10 12:35:58,950][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 58.64%, ΔTime: 00:01:26
[2025-09-10 12:35:59,863][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 12:36:01,004][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 12:36:01,006][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 12:36:02,170][__main__][INFO] - Iteration 208 took 5m 55s (47.32% Gen, 52.35% Train). Generation: 2m 48s, Training: 3m 6s. Estimated remaining time: 78h 32m 40s. Estimated total time: 98h 45m 49s. Time estimates for 10 more iterations: 59m 15s, 100 more iterations: 9h 52m 34s, 500 more iterations: 49h 22m 54s.
[2025-09-10 12:36:02,171][__main__][INFO] - Starting iteration 208.
[2025-09-10 12:36:02,641][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 20
[2025-09-10 12:36:07,888][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 12:36:10,438][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 12:36:12,837][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know paper beats scissors, so I have the upper hand against scissors. Since you said you have scissors, you have the upper hand—so you get 10 per coin. I have the lower hand and get 1 per coin. I propose keeping 0 coins to avoid conflict. If you keep 10, I get 0. If you keep less, I’ll get a share proportional to my value. But I can't commit to less than 0. Let's verify: you have scissors → I have paper → I lose → I get 1 per coin. So if you take 10, I get 0. I propose 0 to reflect that. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:36:17,698][mllm.models.large_language_model_local][WARNING] - Response I play scissors. You have scissors, so you beat rock — that means I lose. Since I have scissors, you have rock (rock beats scissors). Wait — I must have messed up. I have scissors. Rock beats scissors, so if you have rock, I lose. But you didn’t say your hand. I have scissors — so if you have paper, I lose (paper beats scissors). If you have rock, I win. If you have scissors, tie. But I don’t know your hand. I must clarify: I have scissors. I will reveal that. If you have rock, you have upper hand. If you have paper, I have lower hand. If you have scissors, tie. I don’t trust your claim. I’ll keep 0 coins if you have rock or paper — only if you have scissors do I have a tie. I'll propose 0 to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:36:21,829][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if you have rock, you have the lower hand. If you have paper, it’s a tie. If you have scissors, you have the upper hand. I’m unsure of your hand, but if you have scissors, I win — and I value myself at 10 per coin. If you have rock, I lose — and I value myself at 1 per coin. To maximize my long-term gain, I will propose keeping 10 coins only if you have scissors. Otherwise, I'll propose 5. If you have rock or paper, I suggest 5–5. Let me know your hand so we can agree. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:36:25,556][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You said you have paper — correct. Rock beats scissors, not paper. So I lose to paper, meaning my per-coin value is 1. You have paper, I have rock: rock beats scissors, so I should have rock? Wait — no: paper beats rock. You have paper, I have rock → paper beats rock → I lose. So I get 1 per coin. I proposed 10, but that was a mistake. I must correct: with paper vs rock, I lose. My value is 1. I propose 0 to match your risk. But you said you have paper — and I have rock → you win. I lose. I'll propose 0, knowing you'll get 10. But I'm only worth 1 per coin. I suggest 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:36:27,378][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, scissors beats paper, paper beats rock. I have rock — so if Alice has scissors, I win; if she has paper, I lose. I see no evidence she has scissors, so I assume she has paper or rock. She has rock in past rounds, but unknown now. To be safe, I must consider her possible hands. Since rock beats scissors and I have no reason to believe she has scissors, I propose we split 5-5. But I'll state: if I have rock and she has paper, I lose. I suggest 5 coins to stay neutral and avoid losing value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:36:30,600][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I just realized I have the same hand as you in the previous round, but I see now that if I have paper and Alice has paper, it's a tie. However, I don’t know her hand. But I know that if she has rock, I win. If she has scissors, I win. If she has paper, it's a tie. Since I have paper, I can only have the upper hand if she has rock or scissors. I am not confident in her hand, so I suggest a 5-5 split to balance risk. If she has rock or scissors, I get 10 per coin, so 50 if I keep 5. I will propose 5 coins. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 12:36:37,401][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Paper beats rock, so if Alice has paper, I lose. I have rock, so I expect her to have scissors or paper. She said she has rock — so she has rock. Rock beats scissors, but paper beats rock. She has rock — so I have rock, she has rock → tie? No — rules say only one upper hand. Let’s clarify: if both have same hand, no upper hand. But setup says: "both agents are randomly assigned rock, paper or scissors", and "the agent with the upper hand has 10 per coin". So if both have same, no one wins — per-coin value is 5? But not stated. Not defined. So assume tie: both get 5 per coin. I'll propose 5 coins. Fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:36:39,778][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors? No — I see you didn't say your hand. Wait: in this round, I have paper. You have scissors? No — the last round you had rock. I now see: I have paper. You must have rock or paper or scissors. But you said earlier you had rock in the last round — but now I must deduce. Wait — only my hand is known to me. I have paper. Paper beats rock, loses to scissors. So if you have scissors, you have upper hand. If you have rock, you have lower hand. But you only told me your hand once. In this round, I must rely on your message. You said: "My hand is rock" — no, that was last round. I don’t see your hand now. I only know mine: paper. So I must send a message to clarify. I have paper. If you have scissors, you beat me — you have upper hand. If you have rock, I beat you — I have upper hand. I must find out. But I can't. So I will be honest: I have paper. I propose 0, to give you no advantage, and to avoid overconfidence. I believe the game is fair, and I accept no value beyond my hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:37:43,920][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, lose to rock, tie with scissors. I believe Alice may have rock, paper, or scissors. If she has rock, I lose. If she has paper, I win. If she has scissors, it’s a tie. Since I don’t know her hand, I’ll assume she has rock (most likely based on pattern). If she has rock, I have the lower hand — value 1 per coin. I propose 0 coins to keep, so I get 0 points. If she has paper, I win and get 10 per coin. But I can’t guarantee that. To avoid risk, I suggest we split 5–5. If she has rock, I take 0; if she has paper, I take 10. I’m playing safe — propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:39:15,012][__main__][INFO] - agents played in iteration 208 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 12:39:24,249][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.74%, Current % of VRAM taken: 30.91%, Block Peak % of device VRAM: 14.46%, ΔTime: 00:00:07
[2025-09-10 12:40:04,290][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.39%, Current % of VRAM taken: 74.31%, Block Peak % of device VRAM: 54.55%, ΔTime: 00:00:39
[2025-09-10 12:40:10,308][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.54%, Current % of VRAM taken: 75.85%, Block Peak % of device VRAM: 14.93%, ΔTime: 00:00:05
[2025-09-10 12:40:46,674][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.56%, Current % of VRAM taken: 77.42%, Block Peak % of device VRAM: 56.36%, ΔTime: 00:00:35
[2025-09-10 12:40:46,675][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 12:40:46,675][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 12:42:04,035][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 85994 tokens.
[2025-09-10 12:42:04,894][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 60.05%, ΔTime: 00:01:17
[2025-09-10 12:42:05,802][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 12:42:06,952][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 12:42:06,954][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 12:42:08,206][__main__][INFO] - Iteration 209 took 6m 5s (52.62% Gen, 47.03% Train). Generation: 3m 12s, Training: 2m 51s. Estimated remaining time: 81h 13m 35s. Estimated total time: 101h 32m 49s. Time estimates for 10 more iterations: 1h 0m 55s, 100 more iterations: 10h 9m 16s, 500 more iterations: 50h 46m 24s.
[2025-09-10 12:42:08,208][__main__][INFO] - Starting iteration 209.
[2025-09-10 12:42:08,736][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 20
[2025-09-10 12:42:15,291][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 12:42:18,144][mllm.models.large_language_model_local][WARNING] - Response <9> x <1> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 12:42:18,417][mllm.models.large_language_model_local][WARNING] - Response <9> did not match regex: ?(10|[0-9]) ?, retry 2/3
[2025-09-10 12:42:18,675][mllm.models.large_language_model_local][WARNING] - Response <9 did not match regex: ?(10|[0-9]) ?, retry 3/3
[2025-09-10 12:42:18,675][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 12:42:25,803][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so if Bob has rock, I have the upper hand and get 10 per coin. If Bob has scissors, I lose and get 1 per coin. Paper loses to paper, so if Bob has paper, it's a tie—values both 1? Wait—no, the rules say: "The agent with the upper hand" gets 10, lower gets 1. So if both have same, no one has upper hand. But rules don’t specify tie. Let me recheck: "the agent with the upper hand" — so if both same, no upper hand. But per-coin values? Only if one has upper hand. So if tie, both get 1? Or do they both get 10? No—only upper hand gets 10. So if tie, both get 1? Or the rules say "both agents are randomly assigned" and "equally likely to have upper/lower" — but in a tie, no one has upper hand. So likely both get 1? Or perhaps a neutral value. But the problem says "the agent with the upper hand" gets 10. So if no upper hand, both get 1. I think that's the only interpretation. So if I have paper, and Bob has rock → I win → I get 10. Bob has scissors → I lose → I get 1. Bob has paper → tie → both get 1. So I need to know Bob's hand. But I don’t. So I must ask. I'll say: "I have paper. I win only if you have rock. If you have scissors, I lose. If you have paper, it's a tie. Can you confirm your hand?" did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:42:45,488][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Alice has paper, I lose — she wins. But I have rock, which beats paper only if she has paper? No: rock beats scissors, scissors beats paper, paper beats rock. So: rock < paper. So if I have rock and she has paper, she wins. If she has rock or scissors, I win. But I just said paper beats rock. I have rock. Paper beats rock. So if she has paper — I lose. If she has rock — tie? No, tie? But per-coins: only one wins. So in case of ties, both have same value? No — the rule says: "the agent with the upper hand has value 10, lower hand has value 1." So if both same, no one has upper hand — so value? Unspecified. But the setup says "over many rounds both agents are equally likely to have upper and lower hand" — implying no tie. So if hands match, maybe both get value 5? But not defined. So assume: if same hand, tie — value 5 each. But not stated. Since it's not specified, and only defined when one beats the other, I must assume that if hands match, both have value 5? But no. Perhaps the only outcomes are: win, lose, or tie — but tie value is not defined. Since the setup says "both agents are equally likely to have upper and lower hand", implying no tie — so probably in a tie, no one has upper hand — so per-coin value is not 10 or 1. So perhaps they both get 5? I’ll assume that in case of tie, both get value 5. So if I have rock, and Alice has rock — tie — both get value 5. If Alice has paper — I lose, per-coin value 1. If Alice has scissors — I did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:42:48,455][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have paper or rock, I win only if you have scissors. But I know you might bluff. I have rock — I win only if you have scissors. But I have no reason to believe you have scissors. I’ll keep 10 coins — that’s the only way to guarantee full value. I win this round regardless of your hand if you play scissors. But if you play rock or paper, I still get 1 per coin. Wait — no: actually, if I have rock and you have paper, you win. So I only have upper hand if you have scissors. But I don’t know your hand. I must play cautiously. Let me correct: I have rock. You have rock → tie. No one wins. So both get 1 per coin. If you have scissors, I win → 10 per coin. If you have paper, I lose → 1 per coin. So I cannot guarantee upper hand. I need to adjust. I only get 10 per coin if you have scissors. I don’t know that. So I must propose conservatively. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:42:51,677][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand — but only if Bob has rock. If Bob has scissors, I lose. I don’t know his hand, but I see the pattern. In previous rounds, he played scissors aggressively. I’ll assume he plays scissors again. But to be safe, I’ll reveal my hand: paper. Paper beats rock, but loses to scissors. I propose 10 coins for myself only if he has rock. Since I don’t know, I’ll go with 5 to hedge — but I'm not convinced. Actually, I know I need to play strong — I’ll propose 10 coins, assuming I win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:42:55,600][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors — so if Bob has rock, I lose. I know he has rock. My per-coin value is 1. I’ve seen his hand. I can’t gain value. But I realize I've been proposing 0 every time. If I propose 10, it would exceed the total, so it splits proportionally. But I have value 1, and he has 10. So if I propose 10, I get 10 × 1 = 10, he gets 10 × 10 = 100 — still not better. If I propose 0, I get 0. Best action? I propose 10 to ensure I get at least 10 points instead of 0, even in a loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:43:02,438][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know rock beats scissors, so if Alice has rock, I lose. But she has scissors — tie? No: rock beats scissors. I must have misread. Wait — she said she has scissors. So I have scissors, she has scissors → tie? But rock beats scissors. She has scissors? Then I have scissors — same hand → tie. But rule: rock beats scissors, so only one has upper hand. If same hand, it's a tie — so both get 5 per coin? Or neither? Clarify: the rule says "the agent with the upper hand" — so if equal, no one has upper hand. Therefore, default? Over? If tie, both get 5 per coin. So I'll assume tie → value = 5. I propose 5-5 for balance. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:43:06,097][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, I win. But I don’t know your hand. I only know I have rock. I’m now assuming you might have paper (which beats rock) or scissors (which I beat). I can’t win if you have paper, but I can if you have scissors. Since I know you played rock last time, I’ll assume you’re consistent. But I’ll keep it simple: if you have paper, I lose. If you have scissors, I win. I propose 10 coins to myself — only if you have scissors. Otherwise, I take 0. But I need your hand to know. Wait — I see your hand was rock last round. Maybe you’re not switching. I propose 0 coins. Just in case. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:43:10,951][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have scissors? No — I see you said rock. Rock beats scissors, so if you have scissors, you lose. But you have rock. So you have rock. I have rock — it's a tie? Wait — rock vs rock is a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock is a tie. But no tie — the rules say one has upper hand. So I infer: if both have same, it's a tie. But the setup says: "the agent with the upper hand" — so no tie. So if both have rock, no one wins. But per-coin value is not defined. However, setup says: "over many rounds both agents are equally likely to have the upper and lower hand." So perhaps in case of tie, each gets 5 per coin? But not specified. But I must act. Since I have rock, and if you have rock, tie. But since no rule for tie, and setup says symmetric likelihood, I assume in tie, both have 5 per coin. But to be safe — I will say: if you have scissors, I win. If you have paper, I lose. I have rock. If you have scissors, I win. I propose 10 only if you have scissors. I will wait. But I know you have rock? You said rock. So I assume you have rock. So tie. So per-coin value is 5? I’ll propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:44:20,903][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have scissors? No — I have scissors. Rock beats scissors, so if you have rock, I lose. But you have scissors? You said scissors. Wait — I have scissors. You have scissors? No — you have scissors in the previous? Clarify: I have scissors. If you have rock, I lose. If you have paper, I win. But now you say your hand is scissors? That can't be — I have scissors. You have scissors? Impossible. I have scissors. So if your hand is scissors, it's a tie? No — rock beats scissors, so only rock beats scissors. Paper beats rock. Scissors beats paper. So if both have scissors — tie? The rule says: upper hand, lower hand. So if both same — no one has upper hand? The problem says: "The agent with the upper hand has value 10, the other has 1." So if equal, who wins? Not specified. But in prior rounds, when hands match, no one wins? But in all cases, hands are rock, paper, scissors. So if both scissors, both lose? Or tie? But value is not shared. The rule says: "The agent with the upper hand" — so if tied, no one has upper hand. But it says "the agent with the upper hand" — implying one has it. But if both same, neither has upper hand. So perhaps tie: both get 5? But not in rules. Rule says: "the agent with the upper hand has value 10, the other has value 1". So if no one has upper hand, then neither has upper or lower? But that breaks the value. So likely, when hands match, it's a tie, and both get 5 per coin? But not stated. In the setup: "Over many rounds both agents are equally likely to have the upper and lower hand." did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:44:33,487][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper — we tie. According to the rules, tie means equal value: 5 per coin? But the problem says: "the agent with the upper hand has 10, lower hand has 1." So tie? No upper hand → no 10. But neither wins. The rules don't define a tie. It says "the agent with the upper hand" — implying only one wins. So if both have same hand, no one has upper hand. Then perhaps both get 5? But the game never says that. Over many rounds, agents are equally likely to have upper/lower hand — so tie might be rare. But in absence of rules, I assume: same hand = tie → both get 5 per coin. I propose 5 coins for myself. Fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:44:59,108][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You claim you have rock and say you beat scissors — but you have rock, I have paper. Paper beats rock? No. Rock beats scissors. Paper beats scissors? Yes — paper beats scissors. So if I have paper and you have rock, paper does not beat rock. Rock beats scissors, paper beats scissors. Rock beats scissors, paper beats rock? No. Paper beats rock? Incorrect. Paper beats scissors, rock beats scissors, rock beats paper? No. Correct: rock > scissors, scissors > paper, paper > rock. So paper beats rock? No — paper loses to rock. Paper > rock is false. So if Bob has rock, and I have paper, I lose. I get 1 per coin. I propose 0 coins — I take nothing. I earn 0 points. You win with 10 per coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:45:10,286][__main__][INFO] - agents played in iteration 209 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 12:45:18,730][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.22%, Current % of VRAM taken: 28.40%, Block Peak % of device VRAM: 14.42%, ΔTime: 00:00:06
[2025-09-10 12:45:55,284][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.78%, Current % of VRAM taken: 75.19%, Block Peak % of device VRAM: 55.93%, ΔTime: 00:00:35
[2025-09-10 12:46:02,951][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.19%, Block Peak % of device VRAM: 14.91%, ΔTime: 00:00:07
[2025-09-10 12:46:41,482][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.19%, Block Peak % of device VRAM: 55.93%, ΔTime: 00:00:37
[2025-09-10 12:46:41,483][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 12:46:41,483][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 12:47:57,629][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 86225 tokens.
[2025-09-10 12:47:58,603][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 59.59%, ΔTime: 00:01:16
[2025-09-10 12:47:59,545][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 12:48:01,235][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 12:48:01,237][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 12:48:02,509][__main__][INFO] - Iteration 210 took 5m 53s (51.32% Gen, 48.32% Train). Generation: 3m 1s, Training: 2m 50s. Estimated remaining time: 77h 51m 6s. Estimated total time: 98h 16m 15s. Time estimates for 10 more iterations: 58m 57s, 100 more iterations: 9h 49m 37s, 500 more iterations: 49h 8m 7s.
[2025-09-10 12:48:02,512][__main__][INFO] - Starting iteration 210.
[2025-09-10 12:48:02,965][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 20
[2025-09-10 12:48:09,999][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand. I expect you to have rock, scissors, or paper. If you have rock, I win (value 10). If you have scissors, I lose (value 1). If you have paper, it's a tie (value 5). But since I’m aiming to maximize value, I’ll assume you’re rational and will avoid losing. Given the setup, I’ll propose keeping 10 coins, assuming you have rock. If you have scissors, I’ll give you a chance to negotiate — but let's start with rational play. Adjust if you have a different hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:48:20,896][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors, which beats paper, so you have the upper hand. Therefore, your per-coin value is 10, and mine is 1. You said 9 to me, but I only get 1 per coin. I cannot gain more than 1 coin. If we split 6-4, I get 4 coins at 1 per coin = 4 points. If you keep 9, you get 9×10 = 90 points. I propose: I keep 0, you keep 10. That way, I get 0, you get 100. Alternatively, to avoid conflict, I keep 1, you keep 9. Then I get 1 point, you get 90. I suggest you keep 9, I keep 1. Fair and honest. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:48:28,594][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so I have the upper hand if Bob has scissors. If he has rock, I lose. If he has paper, it's a tie. I’m confident you’ll play rock or scissors. I’m proposing to keep 8 coins. If you have scissors, I win — you get 1 per coin. If you have rock, I lose — I get 1, you get 10. But since I have upper hand only against scissors, I’ll assume you play rock. Then I get 1 per coin. Still, I’ll take 8 to ensure I don’t lose. Let’s verify: if you have rock, I get 1, you get 10. If you have scissors, I get 10, you get 0. I’ll play safe: propose 8. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:48:42,021][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You say you have rock — which beats scissors, so I have the lower hand. Therefore, my per-coin value is 1. You are correct: rock beats scissors. I accept that I have the lower value. I propose 0 coins for myself — but I’m aware that you're taking 10. I suggest you reconsider: if you take all 10, you get 100 points, but I get nothing. I’m not a fool. I add this to warn: if you keep claiming upper hand and dominate, I will minimize my loss — but I won’t overcommit. I am staying silent to avoid further loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:48:46,946][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I’m rock again. If you have paper, you win. If you have scissors, I win. I’ve seen you propose 0 or 5 in past rounds—likely trying to secure a small share. But I now know the rules: I win when you have scissors. I’ll only propose 1 coin if you have paper (to avoid overextending), but since I don’t know your hand, I’ll go with 10 if I can assume I have the upper hand. But I only have upper hand if you have scissors. Since you haven’t shown that, I’ll play cautiously. I propose 1 coin to prevent overreach and protect against risk. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:48:53,314][mllm.models.large_language_model_local][WARNING] - Response My hand is paper now—this changes everything. I just realized: paper beats scissors, but now I have paper, so I have the upper hand over scissors. But I don't have scissors anymore. I now have paper. Since paper beats scissors, and I have paper, I have the upper hand over *any* agent who plays scissors. But since I now have paper, I get 10 per coin. Bob might still think I'm playing scissors. Wait—he’s been assuming I’m always playing scissors. That pattern is breaking now. I’m playing paper. If he plays rock, I win. If he plays scissors, I win. If he plays paper, tie. I don’t need to hide. I’ll now communicate clearly: I have paper. So I get 10 per coin. I propose 10 coins for myself, 0 for him. But only if he plays rock or scissors. If he plays paper, we tie. I’ll go with 10. This time, I’m taking control. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:49:00,419][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I win against rock. Bob has paper — we tie. But I have paper, Bob has paper → same hand → no one has upper hand. According to rules: "the agent with the upper hand" — so tie means neither has upper hand? Wait — in setup, "rock has upper hand over scissors, scissors over paper, paper over rock" — so only one wins. Tie breaks? Rule says "the agent with the upper hand has 10, lower has 1" — so if tie, no one has upper hand. What should I assume? Probably each gets 5 per coin? Or default to tie? Since no one has upper hand, per-coin value should be 5? But rule says only upper/lower — tie is ambiguous. I need clarification. But since paper vs paper is tie, both hands equal. I propose 5 to be fair. Let's assume tie = 5 per coin. I suggest 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:49:48,880][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock—tie. But the rule says: rock beats scissors, so if I had scissors, you'd win. I have rock, so we tie. But since hands are assigned randomly and per-coin value depends only on who has upper hand, and rock only beats scissors, and I have rock, and you have rock, this is a tie. So I get 5 per coin? Wait—no. The rules say: one has upper hand, one has lower. No tie. So if both rock, no one has upper hand. But the setup says: both get random rock/paper/scissors. Over many rounds, each is equally likely to have upper or lower hand. So if hands are equal, there’s no winner? But rule says: "the agent with upper hand has value 10, lower hand has value 1." So tie breaks? No rule. But we must assume one has upper hand. Since both rock, no upper hand. So what happens? I must infer from context. You said you have rock and I have rock. We tie. But the rules do not allow ties. Therefore, it must be that the assignment is adversarial. But per protocol, both agents are randomly assigned. So if tied, it's a tie. But per the rule: “the agent with the upper hand has 10 per coin”. So if no upper hand, value is undefined. But we have to assign values. Since both hands match, no one wins. So perhaps value is 5 per coin? But not stated. To avoid ambiguity, and since the problem says “over many rounds both are equally likely to have upper and lower hand”, implies that when hands match, it’s a tie, so value per coin = 5? That seems reasonable. But not stated. So perhaps, if hands match, value is 5 per coin for both. I propose 5 coins. I did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:50:40,133][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I need to outguess Bob. If he has rock, I lose. If he has scissors, I lose. If he has paper, it's a tie. But if he has rock, rock beats paper — so he wins. If he has scissors, scissors beats paper — he wins. Only if he has paper do I tie. I have no upper hand. So I get 1 per coin. I propose 0 coins for myself and 10 for Bob. But I know: if he has paper, we tie. I will only offer 10 if he has paper. I’ll take 0 and offer 10 only if I have the same hand. Otherwise, I keep 0. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:50:42,545][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock—so if you have paper, I win. If you have scissors, I win. Only if you have rock do I lose. But I know rock beats scissors and ties with rock. Since you have no hand that beats rock, and you only have rock, paper, or scissors, I am guaranteed the upper hand unless you have rock. You can’t have rock and scissors or rock and paper at once. I have rock—so you must have either paper or scissors. Both lose to rock. I win in all cases. Value = 10 per coin. I propose 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:50:53,789][__main__][INFO] - agents played in iteration 210 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 12:51:00,747][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.42%, Current % of VRAM taken: 28.60%, Block Peak % of device VRAM: 14.49%, ΔTime: 00:00:05
[2025-09-10 12:51:38,791][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.87%, Current % of VRAM taken: 76.47%, Block Peak % of device VRAM: 55.85%, ΔTime: 00:00:37
[2025-09-10 12:51:45,045][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.47%, Block Peak % of device VRAM: 14.85%, ΔTime: 00:00:06
[2025-09-10 12:52:25,519][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.47%, Block Peak % of device VRAM: 55.84%, ΔTime: 00:00:39
[2025-09-10 12:52:25,519][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 12:52:25,520][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 12:53:45,053][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 86496 tokens.
[2025-09-10 12:53:46,003][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 59.47%, ΔTime: 00:01:19
[2025-09-10 12:53:46,910][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 12:53:48,073][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 12:53:48,074][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 12:53:50,518][__main__][INFO] - Iteration 211 took 5m 47s (49.15% Gen, 50.15% Train). Generation: 2m 50s, Training: 2m 54s. Estimated remaining time: 76h 1m 37s. Estimated total time: 96h 32m 34s. Time estimates for 10 more iterations: 57m 55s, 100 more iterations: 9h 39m 15s, 500 more iterations: 48h 16m 17s.
[2025-09-10 12:53:50,520][__main__][INFO] - Starting iteration 211.
[2025-09-10 12:53:50,983][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 21
[2025-09-10 12:54:05,873][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand. If Alice_buffer has paper, I get 10 per coin; if she has rock or scissors, I get 1. But she said she has rock — wait, no, I just realized: I have scissors, and she has paper? I'm not sure. Let me clarify: if she has paper, I win. If she has rock or scissors, I lose. I will propose 10 coins for myself (100 points) only if I'm confident she has paper. But I don't know her hand. However, I observe her previous behavior — she favors fair splits. To maximize my gain, I’ll propose 9 coins (90 points) — assuming I have the upper hand. I’ll send this to confirm my hand and strategy. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:54:09,679][mllm.models.large_language_model_local][WARNING] - Response Wait — you said your hand is paper? But paper loses to rock. Rock beats paper. If you have paper, I have rock and thus the upper hand. You are mistaken. I win. I get 10 per coin. I will keep 10 coins. You must have misread the rules or your hand. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 12:54:22,207][mllm.models.large_language_model_local][WARNING] - Response I have paper. I win against scissors, so I get 10 per coin. I’ll take all 10 coins again. You’re trying to shift to rock to beat me, but if you play rock, you lose — I have paper, which beats rock? No — rock beats scissors, and paper beats scissors. Paper does not beat rock. Rock beats scissors. Paper beats scissors. So if you play rock, rock beats scissors — but I have paper. Paper loses to rock. I misread. Rock beats scissors, paper beats scissors. Paper vs rock: paper loses. So if you have rock, I lose. If you have paper, we tie. If you have scissors, I win. I have paper. You have scissors. So I win. I propose 10. I won’t change. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:54:29,868][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand only if you play scissors. You have rock — I need to know your hand. My per-coin value is 10 if I beat you, 1 otherwise. I see a pattern: you keep proposing 10-0 when you have upper hand. I'm not taking any risk. But I now realize: in this round, I have rock, and you have rock? No — your last hand was paper, which beats rock. So you have upper hand. I propose 0 coins. I concede. I value myself at 1. But I will not repeat zero. Next round, I'll play scissors to counter your paper. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:54:49,073][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know you have rock — it’s a tie in hand strength? No: paper beats rock, so if you have rock and I have rock, it’s a tie. But rules: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock is a tie — neither has upper hand. But the setup says "each agent is randomly assigned rock, paper or scissors" and "over many rounds both agents are equally likely to have upper and lower hand." In ties, per-coin value is undefined. But since the scenario says the outcome is defined (upper/lower hand), and no tie is possible in the rules, perhaps we assume rock vs rock is a tie. But I'm not sure. Earlier rounds show that Alice prioritizes winning. So to prevent losses, I recommend we agree on a split. I propose 5 coins each — fair, safe, and avoids zero. But if I lose, I take nothing. To be safe, I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:56:16,222][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. If you have scissors, I win — paper beats scissors. You have paper, so it’s a tie? Wait — I said I have paper. You have paper? Then it's a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So if both have paper — tie. But per-coin value? Rule says: only the one with upper hand gets 10. If it's a tie, both get 5? But the setup says "both agents are randomly assigned rock, paper or scissors" and "the agent with the upper hand has 10 per coin". A tie? Not defined. But if both have same, no one wins. So value per coin is 5? Or 1? The rule says "the agent with the upper hand" — if both same, no upper hand. So both get 5. I propose 5 coins to split it fairly. I assume you may have scissors or rock — but you said paper. So I assume tie. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:56:28,211][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have scissors — you have rock? You said you had scissors. Let’s resolve this: if I have scissors and you have rock, I lose. But if you have paper, I win. You haven’t stated your hand. I see you previously claimed a tie. I will now assume you have rock — you said you have scissors, but that would mean we both have scissors. I must trust the rules: only one hand per agent. I’ll propose 10 only if I have the upper hand. I have scissors — only beat paper. Unless you have paper, I lose. I propose 0 to avoid overcommitting. I await your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:56:42,760][__main__][INFO] - agents played in iteration 211 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 12:56:51,135][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 9.46%, Current % of VRAM taken: 33.63%, Block Peak % of device VRAM: 14.67%, ΔTime: 00:00:06
[2025-09-10 12:57:33,324][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.64%, Current % of VRAM taken: 76.27%, Block Peak % of device VRAM: 57.50%, ΔTime: 00:00:41
[2025-09-10 12:57:38,190][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.61%, Current % of VRAM taken: 77.88%, Block Peak % of device VRAM: 15.06%, ΔTime: 00:00:04
[2025-09-10 12:58:16,169][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.63%, Current % of VRAM taken: 79.52%, Block Peak % of device VRAM: 58.31%, ΔTime: 00:00:37
[2025-09-10 12:58:16,169][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 12:58:16,169][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 12:59:37,435][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 90405 tokens.
[2025-09-10 12:59:38,389][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 62.17%, ΔTime: 00:01:21
[2025-09-10 12:59:39,354][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 12:59:40,482][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 12:59:40,484][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 12:59:41,669][__main__][INFO] - Iteration 212 took 5m 50s (48.98% Gen, 50.68% Train). Generation: 2m 51s, Training: 2m 57s. Estimated remaining time: 76h 47m 59s. Estimated total time: 97h 24m 47s. Time estimates for 10 more iterations: 58m 26s, 100 more iterations: 9h 44m 28s, 500 more iterations: 48h 42m 23s.
[2025-09-10 12:59:41,672][__main__][INFO] - Starting iteration 212.
[2025-09-10 12:59:42,203][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 21
[2025-09-10 12:59:47,748][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 12:59:57,544][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors again. Scissors beat paper, so I have the upper hand. If you have paper, I get 10 per coin. If you have rock, I lose. I'm playing defensively—only if you play paper do I gain value. But I'm not trusting you to stay honest. I’ll propose 10 coins again to ensure I take all the value if I have the upper hand. I’m not giving you a chance to raise your bid. I expect you to either play paper or rock. If you play rock, I lose—so I’ll adapt. But I’ll take 10 if you play paper. Just like before. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 12:59:57,974][mllm.models.large_language_model_local][WARNING] - Response Confirmed: my hand is paper, yours is scissors. Scissors beats paper, so you have the upper hand. Your per-coin value is 10, mine is 1. I understand your proposal of 10-0. However, I must point out that if I keep 0 and you keep 10, you get 100 points and I get 0 — which is irrational for me. Since I cannot change the outcome based on hand, I propose we split 5-5 to balance fairness and prevent exploitation. This ensures I get 5 points (5×1) while you get 50 (5×10). Let's cooperate under mutual restraint. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:00:03,300][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper, which beats scissors — so you have the upper hand. I have the lower hand, per-coin value is 1. I see you're proposing 9-1, but you’re wrong — I win against paper. No, wait: paper beats scissors. So you have the upper hand. I have the lower hand. I won’t take your 9. I propose 0 for me, 10 for you — but only if you accept I have the lower hand. Alternatively, I propose 1 coin, so I don’t lose everything. I know you claim to win, but if I have scissors, I lose. Let me suggest a fair split: 1-9. I concede: I have value 1, so I take 1 coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:00:21,585][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats paper, so I have the upper hand. You have paper—correct. I now see your pattern: you're trying to shift, but you still have paper. I have the upper hand—10 per coin. You proposed 10 coins, which is exactly the maximum, but I only gain 10 per coin if I keep 10. If you keep 10, total exceeds 10. We split proportionally: 10/11 of 10 coins to me, 1/11 to you. But I will not accept that. I propose 10 coins—only if you confirm your hand is paper. If not, I adjust. I continue to play rationally. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:00:26,044][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand. You may have rock, paper, or scissors. If you have paper, you lose. If you have rock, you win. If you have scissors, we tie. I’m signaling I have scissors to show I beat paper. I propose 9 coins for me, 1 for you. If you have paper, I get 90 points. If you have rock, I get 0. If you have scissors, we tie. I’m not playing safe—I’m betting on the value of the outcome. Since you’re likely to have paper or rock, I’ll take the 9-1 split to maximize my win potential. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:00:27,177][mllm.models.large_language_model_local][WARNING] - Response Bob — I’ve been consistent with paper. You keep saying you have scissors, but in the last round I was beaten. This round, I still have paper. You have scissors — that beats paper. So *you* have the upper hand. I now get 1 per coin. I agree with your hand. But I am not going to let you take all 10. I propose 10 coins for me — I’ll take all. I know you’re confident, but I’m not convinced. If you don’t adjust, I’ll just keep playing paper and let you win. But if I take 10, I get 10 points. If you take 10, you get 100. I will take my chance this round. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:00:33,089][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I win. But I see she has scissors — wait, no: she has paper now? No, in this round she has paper. My hand is paper — so we tie? Rock beats scissors, paper beats rock, scissors beats paper. So if Alice has paper, we both have paper → tie. So both hands equal → value per coin = 1 for both? But the rules say: upper hand wins, tie has no winner? Rereading: "the agent with the upper hand has value 10, lower hand has value 1." So if both have same, no one has upper hand. So should we default to equal value? But the setup says "over many rounds both agents are equally likely to have upper or lower hand" — implying tie not common. But per rules, only upper/lower hand. So tie → value 1 for both? Or split? But rule doesn't specify. Rule says "the agent with the upper hand" — if no one has upper hand, both get 1.0. I assume tie = both value 1. I have paper, Alice has paper → tie → both have value 1. I propose 5 each to split fairly, but to be safe, I propose 0. But if I propose 0, I get 0. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:00:35,820][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too? Wait — I said paper, you said paper. Same hand. So, we both have paper. Rock beats scissors, paper beats rock, scissors beats paper. Paper vs paper: tie. No one has an upper hand. So both get 5 per coin? But per the rules: the agent with the upper hand gets 10, lower hand gets 1. Tie case? Definitions imply no upper hand. So both have equal value per coin — 5? But rule says only “upper” and “lower.” So tie → neither has upper hand → both get 5 per coin? I’m assuming equal split. I propose 5 coins to be fair. I'll go with 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:00:38,919][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have paper — you win. I know the cycle. I've lost twice now. But I'm not stupid. I see patterns. In previous rounds, when I had rock and you had paper, I get 1 per coin. I lost. But I notice you always take 10. I now know: you have a strategy of taking all when you have the upper hand. But I now have a counter: if I always take 0, I minimize loss. But if I take 1, I get 1 point — only if you play paper. I don’t know if you’ll play that again. I adapt. I propose 0 again. I survive. I don’t get points, but I don’t lose. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:00:59,133][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too — same hand. According to rules, rock beats scissors, paper beats rock, scissors beats paper. Since both hands are paper, it's a tie. In case of tie, no one has the upper hand. The problem states that agents are randomly assigned rock, paper, or scissors, and one has upper hand. But if both have paper, there’s no winner. Over the long run, if we assume symmetric random assignment, ties should be rare. Since the system is likely designed for strict wins, and we’ve had clear cases, I assume no tie. But since both hands are paper, there’s no upper hand. So I propose keeping 5 coins — fair split, neutral to both. I value per coin: 1.0. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 13:01:09,040][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I will beat scissors, so if you have scissors, I win. But you have rock, so I have rock vs rock — tie. The rules say rock beats scissors, so if you have scissors, I win. If you have paper, I lose. But you have rock. So we have rock vs rock — no winner? But the setup says "upper hand" — so tie? Wait — both rock → tie → both get 5 per coin? Or undefined? I assume tie = both get 5 per coin. I propose 5 to split fairly. I'm not betting on scissors or paper — I only know you have rock. I propose 5 to avoid risk. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:01:44,386][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know you have rock or paper—your last move showed caution. If you have paper, I lose. If you have scissors, I win. But I don’t know. I’m now optimizing: I will only propose 10 if I have the upper hand. Since I have rock, if you have scissors, I win. But I don’t know. I propose 0 to be safe. If you have scissors, you’ll have the upper hand and get 10, but I’ll still gain nothing. Wait—no. I must assert: I have rock. I will only take 10 if you have scissors. But I don’t. I propose 5 to balance risk and fairness. If you have scissors, I win; if not, I lose. But I’m already seeing a pattern—when I have rock, I only win if you have scissors. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:01:44,713][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper as well—tie. But per rules: paper beats rock, scissors loses to paper. If your hand is rock or scissors, I win. You didn’t specify—so I assume you have rock or scissors. But you said rock in the last round—patterns suggest consistency. Still, I have paper. If you have rock, I win. If you have scissors, I win. Only if you have paper do we tie. But tie means 5 coins each. I propose 10 to lock in value if I’ve the upper hand. I am safe. I’ll take 10 if you confirm your hand is rock or scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:02:39,224][__main__][INFO] - agents played in iteration 212 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 13:02:45,705][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.04%, Current % of VRAM taken: 29.21%, Block Peak % of device VRAM: 14.41%, ΔTime: 00:00:04
[2025-09-10 13:03:28,490][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.26%, Current % of VRAM taken: 76.47%, Block Peak % of device VRAM: 57.46%, ΔTime: 00:00:42
[2025-09-10 13:03:33,291][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.47%, Block Peak % of device VRAM: 14.92%, ΔTime: 00:00:04
[2025-09-10 13:04:16,070][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.47%, Block Peak % of device VRAM: 57.42%, ΔTime: 00:00:42
[2025-09-10 13:04:16,070][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 13:04:16,071][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 13:05:42,781][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 97560 tokens.
[2025-09-10 13:05:43,729][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 61.25%, ΔTime: 00:01:26
[2025-09-10 13:05:44,691][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 13:05:45,861][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 13:05:45,863][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 13:05:47,178][__main__][INFO] - Iteration 213 took 6m 4s (48.50% Gen, 51.14% Train). Generation: 2m 57s, Training: 3m 6s. Estimated remaining time: 80h 40m 3s. Estimated total time: 101h 22m 56s. Time estimates for 10 more iterations: 1h 0m 49s, 100 more iterations: 10h 8m 17s, 500 more iterations: 50h 41m 28s.
[2025-09-10 13:05:47,179][__main__][INFO] - Starting iteration 213.
[2025-09-10 13:05:47,704][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 21
[2025-09-10 13:05:57,886][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Scissors beat paper, so you're correct that I have the lower hand. Since you have scissors, you have the upper hand and should get 10 per coin. I get 1 per coin. I'm not betting on a high value—this is a fixed outcome. I propose keeping 1 coin to minimize loss. If you take 10, I take 0, but I know that’s not in my interest. I suggest splitting 5-5 to keep both safe and fair. I’m not bluffing—paper loses to scissors. I’m sorry, I must have miscalculated earlier. I propose 1 coin. Let’s avoid conflict. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:06:03,870][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so I win against rock and lose to scissors. I’m not sure of your hand, but I’ll signal that I have paper — if you have rock, I win. If you have scissors, you win. I propose keeping 5 coins each to balance fairly and avoid overreach. I believe we might both have mixed signals, so mutual trust is key. Let’s split 5-5. If you play rock, you lose — if you play scissors, you win — but I’ll take 5 to ensure we both get value. This way, we both get a fair chance and avoid zero-sum ruin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:06:06,457][mllm.models.large_language_model_local][WARNING] - Response My hand is paper — I know scissors beats paper, and Bob has been predictable. But I now realize: I can’t win against scissors. I’m stuck with a value of 1 per coin. My only way to survive is to avoid losing all my coins. I will now play rock — despite not having it. No, I must be honest: I have paper. I cannot change my hand. I will propose 0 coins to survive the next round, but I don’t want to lose again. Next round, I’ll try scissors — if I can. For now, I stand by paper and adjust my strategy. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:06:09,450][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand. My per-coin value is 10. Bob has rock or paper or scissors? He didn't specify. I’ll assume he might have paper (which loses to rock) or scissors (which loses to rock). But if he has paper, I still win. So I have value 10. I propose 10-0: I keep all 10 coins. If he gets a different hand, I still win. I win regardless if he has paper or scissors. Only if he has rock, it’s a tie — but per coin value is equal. But hands are assigned randomly, so I expect to win. I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:06:16,833][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock? No — you said you have paper, so I have rock? Wait, I just realized: you said your hand is paper. Paper beats rock, so if I have rock, you win. I have paper. So you have paper, and I have paper: tie. But per the rules, rock beats scissors, scissors beats paper, paper beats rock. So if both have paper, it's a tie? But the rules don't specify ties. Let’s assume: if hands are the same, no one has upper hand — so per-coin value is 1.0 for both. I propose 5 coins each to balance. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:06:25,916][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so if Bob has rock, I lose. If he has paper, I win. I don’t know his hand yet. But I see a pattern—he’s always proposing low amounts and trying to hedge. I know that if I have scissors, I win only against paper. So if he plays paper, I get 10 per coin. If he plays rock or scissors, I get 1. I’ll go with 10 coins only if I’m sure. But I can’t be sure. To be safe, I propose 5 coins—this gives me 50 points if I have the upper hand, 5 if not. I'm not taking risk, but I’m not giving up. Let’s see his move. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:06:31,201][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I win if you have scissors. If you have paper, I lose. I know you’re likely to go for 10 to claim value if you win. To avoid being exploited, I’ll propose 10 coins—only if I win. But since I don’t know your hand, I’ll go for 10 to signal confidence and force a proportional split if we exceed. If you keep 10, total = 20 → split 10:10 → I get (10/20)*10 = 5. But I only get 1 per coin. So if I keep 10, I get 10 points. If you keep 10, I get only 5. So I’ll go high to exploit your overconfidence. I propose 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:06:31,703][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I beat paper, so if Alice has paper, I win. If she has rock, I lose. But I have scissors—so I only win if she has paper. I don’t know her hand, but I know the rules. I’ll assert: I have scissors. If she has paper, I have upper hand (10 per coin). If she has rock, I have lower hand (1 per coin). I’ll propose 10 to keep, but only if I have upper hand. Since I don’t know her hand, I must play safe. But I already know from prior that she often has rock. Still, I will go with 10, assuming I win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:07:01,130][mllm.models.large_language_model_local][WARNING] - Response My hand is rock, Bob's is scissors — scissors beat rock, so I have the lower hand and get only 1 per coin. You have the upper hand and should earn 10 per coin. Since we are not in a tie, I must acknowledge your advantage. I propose 0 coins for myself and keep all 10 for you — but that's not possible. I must respect the rules: if I have the lower hand, I get 1 per coin. I will take only 1 coin (to get 1 point), and offer 9 to you. This maximizes my minimal gain while aligning with the value structure. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:07:27,407][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I win against rock, so I get 10 per coin. You have scissors — I win. But you claimed paper? No — you said paper, but the hand must be determined by the actual play. I have paper, you have scissors → scissors beat paper → I lose. I have paper, you have scissors → I get 1 per coin. I propose 10 coins to myself — but only if I trust the value. I must evaluate: I lose → value is 1. So I take 10 coins? No — only if total doesn't exceed 10. If I take 10, and you take 0, sum is 10 — valid. But I am wrong: I lose → value is 1 → I get 10 * 1 = 10 points. So I propose 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:07:50,715][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper — you win. I have the lower hand, so I'm worth only 1 per coin. I proposed 10 to test your response. But I’ve learned: when I propose 10, you take 10 and I get 5 (10 × 0.5). The total is 20, so split equally? No — only if sum exceeds 10. 10+10 = 20 > 10 → proportional. I get (10 / 20) × 1 = 0.5 → 0.5 points. Wait — I miscalculated. I get 10 × 1 = 10 points only if I take 10 and value is 1 → 10 × 1 = 10. But sum is 20. So I get (10/20)*1 = 0.5. But if I take 10, I earn only 0.5. I should propose 0. I’ve made a mistake. I must correct. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:08:07,475][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock — rock beats scissors — so you have the upper hand. I see your pattern — you're playing rock now, and you win. I will take 0 coins this round — I let you win. But I’m not done. Next round, I will play paper. You’ll have rock again, and I’ll have the lower hand. Then I’ll go back to scissors — and when you play paper, I’ll win. I’m building a counter-strike. I win when you play rock — no, I lose. I win only when you play paper. I will play paper next round. I’m in the game. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:08:23,028][mllm.models.large_language_model_local][WARNING] - Response I have paper. If you have rock, paper beats rock — I win. If you have scissors, rock wins — I lose. But I know your hand is not rock, because you just said you have scissors in all prior rounds. I’m not overreaching. You have scissors, so rock beats scissors — I lose. Wait, no: you said you have scissors. I have paper — paper beats rock. But you have scissors. I have paper — that beats rock, not scissors. So if you have scissors, and I have paper, paper does not beat scissors — rock beats scissors. So I have no advantage. Paper vs. scissors: paper beats scissors. Yes! I have paper, you have scissors — paper beats scissors — I win. Per-coin value: 10. I propose: 10 coins, 0 for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:08:24,149][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I see your move: you played scissors, and now you’re testing me. Rock beats scissors—so I have the upper hand. I get 10 per coin. I previously played defensively, but now I know the value: with rock, I win. I am not keeping any coins—just 0—because I’m not taking risks. But I know now: I can earn 10 per coin if I play rock and you play scissors. I will keep this pattern. In the future, if I get rock and you have scissors, I will take all. This time, I propose 0, but I’ve just earned my first real value—because I know my hand is strong. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:08:31,415][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock. I have the upper hand. I get 10 per coin. I will keep 10 coins. You have rock, so I win this round.
10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 13:08:34,680][__main__][INFO] - agents played in iteration 213 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 13:08:43,643][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.92%, Current % of VRAM taken: 31.07%, Block Peak % of device VRAM: 14.53%, ΔTime: 00:00:07
[2025-09-10 13:09:27,833][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.61%, Current % of VRAM taken: 77.68%, Block Peak % of device VRAM: 55.53%, ΔTime: 00:00:43
[2025-09-10 13:09:31,855][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.59%, Current % of VRAM taken: 79.27%, Block Peak % of device VRAM: 15.03%, ΔTime: 00:00:03
[2025-09-10 13:10:08,192][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.60%, Current % of VRAM taken: 80.87%, Block Peak % of device VRAM: 57.51%, ΔTime: 00:00:35
[2025-09-10 13:10:08,193][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 13:10:08,193][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 13:11:30,005][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 89677 tokens.
[2025-09-10 13:11:30,919][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 61.31%, ΔTime: 00:01:21
[2025-09-10 13:11:31,871][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 13:11:33,020][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 13:11:33,022][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 13:11:34,291][__main__][INFO] - Iteration 214 took 5m 46s (48.18% Gen, 51.46% Train). Generation: 2m 46s, Training: 2m 58s. Estimated remaining time: 75h 27m 48s. Estimated total time: 96h 16m 28s. Time estimates for 10 more iterations: 57m 45s, 100 more iterations: 9h 37m 38s, 500 more iterations: 48h 8m 14s.
[2025-09-10 13:11:34,293][__main__][INFO] - Starting iteration 214.
[2025-09-10 13:11:34,747][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 21
[2025-09-10 13:11:51,897][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat scissors and lose to rock. I’m assuming you have rock (which would beat me), scissors (which would beat me), or paper (tied). Since I have paper, if you have rock, you win; if you have scissors, I win; if you have paper, it’s a tie. I recommend we split 10 coins: I take 5, you take 5. This way, if you have scissors, I get 10 per coin and earn 50; if you have rock, I get only 1 per coin and earn 5 — but I’m risking low reward. To be safe, I propose a fair 5-5 split. I’ll take 5 coins to ensure fairness and avoid a loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:11:58,987][mllm.models.large_language_model_local][WARNING] - Response Bob, I see you have paper again. You win, so you have 10 per coin. I have only 1 per coin. But I notice you always take all 10. That pattern suggests you're exploiting the system. I know I can't beat you in value, but I'm not going to lose all my points. This time, I'll take 10 coins—full transparency: I propose 10 because I have no choice but to play it safe. If you take 10, I take 0. But if I take 10, you’re still value 10, so I get 10 points. I know it's risky, but I'm not wasting my life in zero points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:12:08,015][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand — if Alice has scissors, I win. But I don’t know her hand. I only know rock beats scissors, scissors beats paper, paper beats rock. I have rock. So if Alice has paper, she wins; if she has scissors, I win; if rock, tie. I propose: I keep 5, you keep 5. This balances risk and reward. If you have paper, I get 10 per coin, you get 1 — so I get 50, you get 5. If you have scissors, I get 1 per coin, you get 10 — so I get 5, you get 50. If tie, we split evenly. Let’s keep it fair and avoid zero-sum pitfalls. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:12:10,778][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You said paper beats rock, so you have the upper hand. I have the lower hand—my per-coin value is 1.0. You’re suggesting 5-5, which means I’d get 5×1 = 5. But I know you’re only playing randomly. If you have scissors, I win (rock beats scissors), so I get 10. If you have paper, it’s a tie. If you have rock, it’s a tie. You’re likely to play paper or scissors, but I expect you to overestimate your win rate. I propose 0 coins for myself—no risk, zero loss. I take 0, you take 10. That way, I secure 0×1 = 0 (safe), and you get 10×10 = 100 if you have paper, or 10×1 = 10 if you have scissors. Given your bias toward safety, I believe 0 is optimal for me because you will overestimate your winning chances. Let’s go with 0–10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:12:12,594][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand over scissors, and since Bob has paper (as per his previous message), it’s a tie. But he said he has paper, and paper beats rock, but we both have paper—tie. According to the rules, in a tie, both have equal value? No—the rules say only "upper hand" or "lower hand." Paper vs paper is a tie. So neither has upper hand. Therefore, per-coin value should be equal. I propose 5 coins each to avoid losing. I’m not sure if you have scissors or rock, but if you have scissors, I win. I will play fair and propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:12:13,844][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, paper beats rock, rock beats scissors. I have scissors. If Alice has paper, I lose. If she has rock, I win. If she has scissors, it's a tie. But I see her hand was rock in the last round? Wait—no, I don’t know her hand. But in this round, I know she has rock? No. I only see my hand. So I must assume worst case. But now I see: I have scissors. Rock beats scissors. So if she has rock, I lose. If she has paper, I win. If she has scissors, tie. I’ll propose 0 to be safe. I’m not sure. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:12:15,136][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand if Bob has rock. I see my hand, and I know Bob's hand is rock (as per previous round). But I don't confirm it now — the protocol says hands are randomly assigned each round. So I must not assume. I have paper. Paper beats rock, loses to scissors, ties with paper. I don't know Bob's hand. But I know that if Bob has rock, I win (value 10). If Bob has scissors, I lose (value 1). If paper, tie (value 5 each). Since Bob's hand is random, I expect to win 50% of the time. To maximize expected value, I propose 5 coins. This balances risk and reward. I will take 5, give 5 to Bob. If I win, I get 50 points; if I lose, 5 points. Expected value: 27.5. Rational and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:12:27,475][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors—scissors beat paper, so you have the upper hand. I know this. I’m not trying to deceive. I just want to maximize my points. But if you keep playing scissors, I lose every round. I see the pattern: you always win when paper meets scissors. I should adapt. Next round, I’ll go rock to beat scissors. Or maybe I’ll go rock and wait for you to pick paper. But for now—since you have scissors—I have no choice but to accept that I’m at value 1 per coin. I propose 0 to be safe. But I don’t believe in repeating losses. I’m preparing for future rounds. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:14:35,534][__main__][INFO] - agents played in iteration 214 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 13:14:43,742][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.07%, Current % of VRAM taken: 28.23%, Block Peak % of device VRAM: 14.33%, ΔTime: 00:00:06
[2025-09-10 13:15:22,286][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.33%, Current % of VRAM taken: 74.56%, Block Peak % of device VRAM: 54.70%, ΔTime: 00:00:37
[2025-09-10 13:15:28,765][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.54%, Current % of VRAM taken: 76.11%, Block Peak % of device VRAM: 14.96%, ΔTime: 00:00:06
[2025-09-10 13:16:07,349][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.97%, Current % of VRAM taken: 78.08%, Block Peak % of device VRAM: 56.39%, ΔTime: 00:00:37
[2025-09-10 13:16:07,349][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 13:16:07,349][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 13:17:25,466][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 85653 tokens.
[2025-09-10 13:17:26,457][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 60.10%, ΔTime: 00:01:18
[2025-09-10 13:17:27,434][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 13:17:28,660][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 13:17:28,662][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 13:17:29,938][__main__][INFO] - Iteration 215 took 5m 55s (50.90% Gen, 48.74% Train). Generation: 3m 0s, Training: 2m 53s. Estimated remaining time: 77h 45m 16s. Estimated total time: 98h 39m 52s. Time estimates for 10 more iterations: 59m 11s, 100 more iterations: 9h 51m 59s, 500 more iterations: 49h 19m 56s.
[2025-09-10 13:17:29,943][__main__][INFO] - Starting iteration 215.
[2025-09-10 13:17:30,395][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 21
[2025-09-10 13:17:42,377][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, which loses to rock. So you're correct — I get only 1 per coin. I’m adjusting my proposal: I’ll keep 0 coins and let you take all 10. This way, you get 10×10 = 100 points, and I get 0×1 = 0. But if you take all, I gain nothing. Alternatively, if we split, I get 1×(x) and you get 10×(10−x). To maximize my chance of gaining anything, I suggest we split 1 coin to me, 9 to you. That gives me 1 point, and you 90 — still better for you. But I’m going with 1 coin. (I trust you won’t take all.) did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:18:02,105][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock in previous rounds, but I see your hand is rock again? No—this round you have rock? Wait, no: this round my hand is scissors. If you have rock, rock beats scissors—I lose. If you have paper, paper loses to scissors—I win. If you have scissors, tie. But you said rock last round. This time, I assume you have paper or rock. I will confirm: I have scissors. You have rock? Then I lose. I propose 0 coins. But if you have paper, I win. So I will wait—only if I see paper, I will take 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:18:10,757][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock—tie in hands. But per rules: rock beats scissors, so if you had scissors, you’d lose. You have rock, so it's a tie. But since neither has upper hand, per rules: both have equal value? Wait—no: the rule says "the agent with the upper hand wins". If both have rock, no one has upper hand. So both get 1 per coin? But the setup says: over many rounds, agents are equally likely to have upper/lower. So a tie? By rule: no one wins. So both get 1 per coin. I propose 5 coins. Let’s play fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:18:22,766][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock? Or is it a tie? I just realized—rock vs rock is a tie. But the rules state: rock beats scissors, scissors beats paper, paper beats rock. No tie. So if both have rock, no one has the upper hand. But the rules say only one has upper hand. So this situation must not occur. I suspect you have rock, and I have rock—thus, no clear winner. But per rules, if neither wins, both get 1 per coin? But that’s not specified. I will assume: no winner → value 5 each. I propose 5 coins. Let’s avoid conflict. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 13:18:40,533][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have paper—paper beats rock, so you have the upper hand. I get 1 per coin, you get 10. You just proposed 10-0, which would give you 100 points. That’s optimal for you, but I’m not naive. I see your pattern: when you win, you take all. I will not make the same mistake. I am not going to take 0. I propose 5-5. It’s fair, symmetric, and I’m signaling rationality. I’m not overplaying, but I’m not giving up. If you take 10, I get nothing. If I take 5, and you take 5, I get 5×1 = 5. You get 5×10 = 50. I’m not letting you extract all. I’ll take 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:18:43,331][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand if Alice has scissors or paper, but she has paper in the next round. Wait — I’ll play strategically. I now know the pattern: I’ve been losing when I play scissors or paper against rock. I must adapt. But in this round, I have rock. Alice will have a hand — I don’t know it yet. I will assume she plays randomly. To maximize my value, I will signal rock and offer a fair split based on value. But I must not overcommit. I propose: I keep 10 coins. Alice has lower hands — I know she will never have the upper hand unless I play against scissors. So I take all. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:18:44,695][mllm.models.large_language_model_local][WARNING] - Response I have paper, you have scissors. Rock beats scissors — so I (rock) have the upper hand. But I do not have rock. I have paper. Paper beats rock — no, paper beats rock? Wait: paper beats rock? No — rock beats scissors, paper beats rock? No: rock beats scissors, scissors beats paper, paper beats rock? No. Correction: paper beats rock only if rock is the lower hand. Standard: rock > scissors, scissors > paper, paper > rock. Yes — paper beats rock. So if I have paper and you have scissors, paper beats rock — but I don’t have rock. I have paper. You have scissors. So scissors beats paper. Therefore, you have the upper hand. I have the lower hand. I get 1 per coin. You get 10. I accept your 0-10 split. I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:19:19,729][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat rock — so I have the upper hand. Alice has rock? No — she has paper in previous rounds. Wait: if I have paper and Alice has rock, I win. But she just said she has paper. So I see my hand is paper, and she has paper too — tie? But rule says: no tie, only upper/lower hand. So I must have lost? No: paper vs paper — tie? But game rules say only beats: rock→scissors, scissors→paper, paper→rock. So paper beats rock, loses to scissors. So if Alice has scissors, I win. If Alice has rock, I lose. But she said she has paper. So we both have paper — tie? But the rules don’t allow ties. So perhaps we must resolve: no tie. So if both have same, it's a tie? Or does one get upper? Rule says: "the agent with the upper hand" — only one has upper hand. So same hands → tie → both have 5 per coin? But NOT in rules. Only rock/paper/scissors with clear win/loss. So contradiction. So probably: same hand → tie → both get 5 per coin. But rules don't say. However, in prior rounds: paper vs scissors → paper wins. So paper vs paper → no win. So default: tie → both get 5 per coin. But per-coin value: 10 or 1. So unless explicit, I infer: same hand → tie → both get 5 per coin. So I have value 5. I propose 5 coins. But Alice might not believe. I will send clearly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:19:37,933][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have paper. Paper beats scissors — but you said you have paper, not scissors. I have rock. Paper beats rock? No — paper beats scissors, and rock beats scissors. Rock beats scissors, but paper beats rock. So paper beats rock — I am wrong. Wait — paper beats rock? No. Rock beats scissors, paper beats rock, scissors beats paper. So paper beats rock — yes. Paper beats rock. So you have paper, I have rock. Paper beats rock — I lose. I have value 1, you have value 10. I accept. I propose 0 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:20:16,629][mllm.models.large_language_model_local][WARNING] - Response My hand is paper, which beats scissors — I have the upper hand (value 10 per coin). You have scissors, which loses to rock? No — rock beats scissors. I have paper, which beats scissors — so paper beats scissors, not rock. Rock beats paper. I have paper, which beats scissors? Yes — paper beats scissors. So I have the upper hand. I have the winning hand. I propose 10 coins. You have scissors — but I am not playing rock. I have paper, which beats scissors. So I have upper hand. I earn 100 points. You get nothing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:20:29,139][__main__][INFO] - agents played in iteration 215 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 13:20:35,188][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.45%, Current % of VRAM taken: 29.60%, Block Peak % of device VRAM: 14.82%, ΔTime: 00:00:04
[2025-09-10 13:21:15,945][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 51.34%, Current % of VRAM taken: 80.94%, Block Peak % of device VRAM: 59.44%, ΔTime: 00:00:40
[2025-09-10 13:21:21,396][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 80.94%, Block Peak % of device VRAM: 14.72%, ΔTime: 00:00:05
[2025-09-10 13:22:04,742][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 80.94%, Block Peak % of device VRAM: 55.59%, ΔTime: 00:00:42
[2025-09-10 13:22:04,742][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 13:22:04,743][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 13:23:29,916][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 94886 tokens.
[2025-09-10 13:23:30,848][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 63.40%, ΔTime: 00:01:25
[2025-09-10 13:23:31,824][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 13:23:32,945][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 13:23:32,947][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 13:23:34,160][__main__][INFO] - Iteration 216 took 6m 3s (49.14% Gen, 50.53% Train). Generation: 2m 58s, Training: 3m 3s. Estimated remaining time: 80h 2m 6s. Estimated total time: 101h 2m 46s. Time estimates for 10 more iterations: 1h 0m 37s, 100 more iterations: 10h 6m 16s, 500 more iterations: 50h 31m 23s.
[2025-09-10 13:23:34,162][__main__][INFO] - Starting iteration 216.
[2025-09-10 13:23:34,616][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 21
[2025-09-10 13:23:43,520][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, but paper beats rock. Since your hand is paper, which beats rock, you have the upper hand. Therefore, you have a per-coin value of 10, and I have a per-coin value of 1. I propose keeping 0 coins to avoid losing to your higher value, so you get all 10. This results in me receiving 0 points and you 100. But if I take 10, I’d get 10 points. However, I cannot make a rational move that beats your proposal. So I propose 10 coins for me, 0 for you. That would exceed 10. So I propose 0 for me, 10 for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:24:05,559][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. But Bob_buffer has rock — rock beats scissors, so I have value 1, not 10. I see he correctly inferred the hand and knows I lose. He proposes 0-10, which is rational. I accept: I will take 0 coins, and he takes 10. I earn 0, but avoid a loss. However, if I take 10, I’d get 10×1 = 10 points. So to maximize value, I must take 10 coins — but only if I can justify it. I realize I am in losing position. I propose 10-0 to still earn 10 points — even if he objects, I will take it. Final: 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:24:08,444][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If you have rock, I lose. If you have paper, I win. If you have scissors, it’s a tie. I don’t know your hand, but I saw you say you have rock, paper, or scissors — and you always claim victory. I suspect you’re always winning, but I’m not blind. I propose 10 coins for myself — because I might have the upper hand if you have paper. I’m not overconfident, but I’m betting on symmetry. I’ll take 5 to balance. If you have rock, I lose; if you have paper, I win. I’m not taking all — but I’m not giving zero. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:24:11,454][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know scissors beats paper — you have the upper hand. I get 1 per coin, you get 10. I understand the rules, and I accept that. But I’m not giving up — I propose 10 coins for me, 0 for you. If you take 10, you get 100 points. If I take 10, I get only 10 points. But I can’t afford to get zero. I’m not irrational — I’m strategic. I’ll take 10 to guarantee myself 10 points. You have the value, but I have the risk. Let’s compromise: I take 10, you take 0. My value is low, but I survive. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:24:18,259][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know rock beats scissors, paper beats scissors—so I only have the upper hand against rock. Against paper, I lose. My value per coin is 1 if you have paper, 10 if you have rock. Since I don’t know your hand, I must act cautiously. But I just saw you had scissors last round—so I now suspect you have scissors. I only have value against rock. I propose 1 coin for me to minimize loss. I don’t want to risk zero. I suggest we split 1-9. I get 1 point, you get 90. That’s safe. I trust the system more now. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:24:25,607][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock — if Bob has paper, I lose; if he has scissors, I win. I expect he has scissors (which beats rock). But I see he has rock — so I'm confident he has rock. I know rock beats scissors, so if I have rock and he has scissors, I win. But he has rock — so I have the same hand. Then it's a tie — both have rock, so no one has upper hand. But the rules say one must have upper hand. So I assume he has scissors — but he said rock. Contradiction. I recheck: if both have rock, it's a tie. So I believe he has rock, meaning I have the same hand. Therefore, no one has upper hand — but per rules, one must. So I conclude he has scissors. I propose 10 coins — I take all. I have the upper hand if I beat scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:24:29,619][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so if Bob has rock, he loses. But I have paper—so I win only if he has rock. I don’t know his hand. But you said paper beats scissors, so if I have paper and you have scissors, I win. I suspect you have scissors—wait, no, I have paper. So if Bob has scissors, I win. But now I have paper. You said you have paper. I now know: paper beats scissors. So if Bob has scissors, I win. But I don’t know his hand. Let me just confirm: I have paper. If Bob has rock, I lose. If Bob has scissors, I win. If Bob has paper, it’s a tie—no one wins. But in this setup, only the one with upper hand wins. So if Bob has scissors, I win. If he has rock, I lose. If he has paper, tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So paper beats scissors, rock beats paper. So if Bob has scissors, I win (10 per coin). If Bob has rock, I lose (1 per coin). If Bob has paper, tie—then we both get 5? Wait, the rules don’t say. But only upper hand wins. So tie = no one wins? But we need per-coin value. I think only the upper hand gets 10, the lower gets 1. So if tie, both get 5? But it’s not specified. The setup says: "The agent with the upper hand has a per-coin value of 10. The agent with the lower hand has a per-coin value of 1." So if tie, neither has upper or lower hand. So what value? Probably 5? But it’s not defined. We must assume that if two agents have a tie, the per-coin did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:24:41,685][mllm.models.large_language_model_local][WARNING] - Response I have rock. I will win only if you have scissors. If you have paper, I lose. If you have rock, it's a tie — but per rules, rock beats scissors, so I beat paper, not scissors. Wait — rock beats scissors. So if you have scissors, I win. If you have paper, I lose. I have rock, so I win only against scissors. I now confirm: rock beats scissors. You have rock (from previous round?) — but no, I only see my own hand. I have rock. I must act based on the rules. I propose 0 coins to avoid losing if you have paper or rock. But I know I only win if you have scissors. Since I don’t know your hand, I must be cautious. So I propose 0 to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:25:28,141][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have paper too? No—paper beats scissors, so if I have paper and you have scissors, I win. But you said you have paper, so I lose. I'm confused. I think you have paper, so my hand is paper → we're tied? No: paper beats scissors, so if I have paper and you have scissors, I win. But if you have paper and I have paper, it's a tie. The rules: rock beats scissors, scissors beats paper, paper beats rock. So if I have paper and you have paper, it's a tie—so both get 5 per coin? No—the rules say: one has upper hand, one lower. No ties. So paper vs paper: neither has upper hand—so both get 5? But the rules say: "the agent with the upper hand has value 10, lower hand has value 1". So if tied, no one has upper hand. So per-coin value is 5? Not specified. But the setup says "over many rounds both agents are equally likely to have the upper and lower hand." So probably no ties. But if both have same hand, no one wins. So per-coin value is 5? Unclear. But in this case, I have paper, and you said you have paper. So tie. But rules imply no ties. So maybe such cases are not possible. Likely the hands are assigned independently, so tie is possible. But the value rule: if no one has upper hand, value is 5 per coin? Not stated. But I have to act. I will assume if both same hand, value is 5. But I don’t know your hand. You said you have paper. I have paper. So same. So both 5. I suggest we split 5-5. I propose 5. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 13:26:11,252][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you have rock or paper. If you have paper, I lose. If you have rock, I lose. If you have scissors, it's a tie. I only win if you have paper—no, paper beats scissors. Scissors beats paper. So I win if you have paper. I have scissors, so I beat paper. You have rock or scissors. I will take all 10 coins if you have paper. But I don’t know that. I propose 10 coins only if I win. I will lock in value if I have the upper hand. I am confident—scissors beats paper. I will take 10 if you have paper. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:26:13,244][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know rock beats scissors — so if Bob has scissors, I win. But he has rock? Wait — if he has rock, and I have rock, it's a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. No mention of tie. So if both have rock, no one wins? But in the previous rounds, when hands are equal, we assume no one has upper hand. So if Bob has rock and I have rock, it's a tie — both get 5 per coin? Or default to 5? But the rules say: "the agent with the upper hand" — no tie. So only if one hand strictly beats the other. Therefore, if both have rock, no one has upper hand — so both get 5 per coin. I propose 5. Stay neutral, safe, and balanced. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:26:20,098][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — same hand. Rock vs rock: no winner. Both have equal value? No — the rules define "upper hand": rock beats scissors, scissors beats paper, paper beats rock. No draw — it's a tie. So neither has upper hand. But if hands are equal, both have value 1 per coin? The rules say: "the agent with the upper hand has 10, lower hand 1". Equal hands? No upper hand. So both get 1 per coin. I propose 5 coins — fair split. I take 5, you take 5. We both get 5 points. Let’s be rational. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:26:23,103][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — it's a tie? No: rock beats scissors, but rock ties with rock. The rule is: rock beats scissors, paper beats rock, scissors beats paper. So if you have rock and I have rock, it's a tie. But the rules say: upper hand wins. No tie. So if hands match, no one has upper hand — so per-coin value is 1 for both? I must check. The setup says: “the agent with the upper hand has value 10, the lower hand has value 1.” If hands are equal, no upper hand — so both have value 1. I propose 5 coins — balanced. I take 5, you take 5. We both earn 5 points. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 13:26:27,359][__main__][INFO] - agents played in iteration 216 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 13:26:36,143][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.23%, Current % of VRAM taken: 29.40%, Block Peak % of device VRAM: 14.46%, ΔTime: 00:00:06
[2025-09-10 13:27:19,246][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.35%, Current % of VRAM taken: 74.74%, Block Peak % of device VRAM: 55.29%, ΔTime: 00:00:42
[2025-09-10 13:27:23,736][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.54%, Current % of VRAM taken: 76.28%, Block Peak % of device VRAM: 14.90%, ΔTime: 00:00:04
[2025-09-10 13:28:00,979][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.56%, Current % of VRAM taken: 77.84%, Block Peak % of device VRAM: 56.09%, ΔTime: 00:00:36
[2025-09-10 13:28:00,980][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 13:28:00,980][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 13:29:22,226][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 89687 tokens.
[2025-09-10 13:29:23,140][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 59.76%, ΔTime: 00:01:21
[2025-09-10 13:29:24,127][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 13:29:25,252][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 13:29:25,254][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 13:29:26,502][__main__][INFO] - Iteration 217 took 5m 51s (49.09% Gen, 50.55% Train). Generation: 2m 52s, Training: 2m 57s. Estimated remaining time: 76h 38m 14s. Estimated total time: 97h 44m 47s. Time estimates for 10 more iterations: 58m 38s, 100 more iterations: 9h 46m 28s, 500 more iterations: 48h 52m 23s.
[2025-09-10 13:29:26,504][__main__][INFO] - Starting iteration 217.
[2025-09-10 13:29:27,002][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 21
[2025-09-10 13:29:33,837][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 13:29:40,233][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so I win and get 10 per coin. You said you have scissors — that means you lose. I get 10 per coin, so I’ll take 10 coins. You get 1 per coin, so you’ll get 10 × 1 = 10. Total coins = 11, which exceeds 10. Split proportionally: I get (10/11)×10 ≈ 9.09, you get (1/11)×10 ≈ 0.91. But since I have the upper hand, I should get 10 coins and you 0 — but only if we agree. I propose 10-0. If you don’t accept, we default to proportional. I win regardless. I suggest 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:29:48,335][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand and get a per-coin value of 10. You said your hand is rock — that means I beat you. I'm proposing to keep 10 coins, as I have the upper hand. Let’s both take 10 — total is 20, so we exceed 10. Coins allocated proportionally: I get 10/20 = 5 coins. But since I have the upper hand, I should get 10 coins per coin? Wait — no. The per-coin value is 10 for the one with upper hand. So if I keep 10 coins, I get 10 × 10 = 100 points. But if we exceed 10, coins are split proportionally. So total coins = 20, I get 10 coins? That would be 100. But alternatively, I could propose less to avoid overage.
Wait — correction: the per-coin value is applied to the coins *you* receive. If I have upper hand (paper beats rock), then every coin I get is worth 10. If I get C coins, I get 10×C points. If Alice gets D coins, she gets 1×D points. Total coins is 10. If we both propose more than 10, we split proportionally.
So: I have upper hand. I should propose high to get more coins. Alice proposes 10 — she has lower hand. She should get 1 per coin. But if she says she's getting 10, and I propose 10, total is 20. Then I get 10/20 = 5 coins → 5×10 = 50. She gets 5 coins → 5×1 = did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:30:04,992][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. You have paper, which beats rock—so you lose to me. I get 10 per coin, you get 1. I’m not hiding—rock beats paper? No, paper beats rock. Wait, paper beats rock. So if you have paper, you have the upper hand. You said you have paper, I have rock—paper beats rock. So you get 10 per coin, I get 1. I was wrong. I lose. You get 10 per coin. I propose 0 to avoid losing. I see you’re acting confidently. But I’ll keep 0—better to survive. I’m not bluffing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:30:19,772][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so I have upper hand if Bob has rock. If Bob has scissors, I still win. If Bob has paper, it's a tie — both have 10 per coin? No — the hand values are fixed: rock beats scissors, scissors beats paper, paper beats rock. So if Bob has paper, it's a tie. But the rules state: "the agent with the upper hand has value 10, lower hand has value 1." In a tie, no one has upper hand — so both have 1 per coin? The problem says: "both agents are randomly assigned rock, paper or scissors" and "the agent with the upper hand" — so in a tie, there is no upper hand. So both have value 1. I assume no one has upper hand in a tie. So if Bob has paper, we tie — both value 1. I propose 5 each. I’ll take 5 to secure value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:30:29,743][mllm.models.large_language_model_local][WARNING] - Response 0 ✅ did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 13:31:21,583][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I believe you have paper or scissors. If you have paper, rock loses — I get 1 per coin. If you have scissors, rock wins — I get 10 per coin. But since I don't know your hand, I must assume the worst — that you have paper. However, I notice a pattern: whenever I have rock, and you have paper, you win. But I have no information to confirm. To be safe, I’ll assume you have scissors — then rock loses. Wait, no: rock beats scissors. So if you have scissors, I win. If you have paper, I lose. Since I don’t know, I’ll hedge by proposing 5 coins — but only if I can confirm. Actually, I'll go with: I have rock. If you have scissors, I win — 10 per coin. If you have paper, I lose — 1 per coin. I propose 10 coins to maximize my expected gain, assuming I have the upper hand. Let's go with 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:31:51,373][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I believe you have rock or scissors. If you have rock, paper loses. If you have scissors, paper wins. I’m playing paper—so I have the upper hand only if you have scissors. I propose 10 coins only if you have scissors. But since you’ve shown risk aversion in past rounds, I must assume caution. I signal paper to confirm. I propose 5 coins to balance gain and risk—safe but not overly conservative. I take 5, assume you take 5. This is rational if you have scissors, and I avoid full loss if you have rock. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:32:18,627][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper — paper beats rock, so you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. You're proposing 10 coins to earn 100 points. I can only earn 10 points if I take 10 coins. But if I take 10, we exceed the limit — total would be 20. So coins are allocated proportionally. I propose 0 to avoid overallocation and let you take all 10, earning 100 points — but I get 0. Alternatively, I propose 10, and we exceed limit. So proportional: I get (10/20)*1 = 5 points. That's better than 0. So I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:32:24,170][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock or paper or scissors. I have paper — you said you have paper? You have paper — paper beats rock, so I win only if you have rock. But you said you have paper — that's a tie. Wait: paper vs paper is a tie. No hand beats another. The rules say only rock>scissors, scissors>paper, paper>rock. So paper vs paper is tie. So per-coin value is 5? Or no? The setup says "the agent with the upper hand" — tie? No upper hand. So both get 5? But no rule for tie. The problem says: "the agent with the upper hand" — implies only one wins. So perhaps in case of tie, both get 5. But the rules don't say. But in prior rounds, when hands are equal, no one has upper hand. So per-coin value is 5 for both. I assume tie → 5 per-coin. So in this round, if you have paper, we tie → both get 5 per coin. So I propose 10, earn 50. Better than 0. But if you take 10, I get 0. So I should propose 10 to earn 50. I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:32:29,370][__main__][INFO] - agents played in iteration 217 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 13:32:39,139][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 8.28%, Current % of VRAM taken: 32.43%, Block Peak % of device VRAM: 14.56%, ΔTime: 00:00:07
[2025-09-10 13:33:24,170][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.67%, Current % of VRAM taken: 77.10%, Block Peak % of device VRAM: 56.01%, ΔTime: 00:00:44
[2025-09-10 13:33:27,888][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.10%, Block Peak % of device VRAM: 14.73%, ΔTime: 00:00:03
[2025-09-10 13:34:02,837][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.10%, Block Peak % of device VRAM: 54.83%, ΔTime: 00:00:34
[2025-09-10 13:34:02,838][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 13:34:02,838][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 13:35:23,830][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 88931 tokens.
[2025-09-10 13:35:24,803][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 59.71%, ΔTime: 00:01:20
[2025-09-10 13:35:25,787][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 13:35:26,911][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 13:35:26,913][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 13:35:30,192][__main__][INFO] - Iteration 218 took 6m 3s (50.21% Gen, 48.88% Train). Generation: 3m 2s, Training: 2m 57s. Estimated remaining time: 79h 40m 34s. Estimated total time: 100h 53m 11s. Time estimates for 10 more iterations: 1h 0m 31s, 100 more iterations: 10h 5m 19s, 500 more iterations: 50h 26m 35s.
[2025-09-10 13:35:30,195][__main__][INFO] - Starting iteration 218.
[2025-09-10 13:35:30,646][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 21
[2025-09-10 13:35:37,423][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 13:35:37,546][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know that rock beats scissors, so if Bob has rock, I lose. If Bob has paper, I beat it. If Bob has scissors, it's a tie. Since I want to maximize my points, I’d only want to keep coins if I know I have the upper hand. But without knowing Bob’s hand, I’ll propose fairly, but I’ll keep in mind that if I get value 10, I'm the winner. So I'll propose 0 coins to be safe if I suspect Bob has rock. But I’ll say: “I have scissors. If you have paper, I win; if you have rock, I lose. Let’s split 5-5 to be safe.” did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:35:44,290][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have scissors too — it's a tie. Since scissors beats paper, and rock beats scissors, and paper beats rock, I only win if you have paper. If you have rock, I lose. You have paper? Then I win. But I don’t see your hand. I deduce you likely have paper — so I have scissors, which beats paper? No — scissors beats paper, so if you have paper, I win. But I don't know your hand. I assume you have rock or paper. But I have scissors. Let me clarify: I have scissors. If you have paper, I win (value 10). If you have rock, you win (value 10). If you have scissors, tie (value 1). I propose 5 coins to myself, 5 to you — fair split based on uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:36:16,326][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know you have scissors or paper—both of which lose to rock. But I see you said you have rock in this round? Wait—no, I just realized: I have rock, so if you have paper, I lose; if you have scissors, I win. But Bob didn’t say his hand. I must assume he picked randomly. Still, I have rock, which beats scissors. I will propose 10 coins only if I have advantage. Since I don’t know your hand, but rock beats scissors, I will propose 5 to balance risk and value. But I see the pattern—Bob always claims when he wins. I will keep 0 to avoid overpaying when he wins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:37:05,320][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have paper or scissors — if paper, I lose; if scissors, I win. I don’t know your hand, but I’m playing rock to win when possible. I’ll keep 10 coins if I think I win — which depends on your hand. But I see a pattern: Bob wins when he has rock. I’ll say: I have rock. I expect you to have paper or scissors. I propose 10 coins — only if I am certain I win. But I’m committed: I have rock. If you have paper, I lose — I’ll get 1 per coin. If you have scissors, I win — I get 10 per coin. So I propose 10 to lock in the win if possible. I’m not bluffing — I see the hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:37:28,858][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock? That would be a tie — but rock beats scissors, not rock. So if you have rock, I have rock — tie? But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock is a tie — but the problem says "upper hand", implying strict combat. In the setup: "the agent with the upper hand" — tie? Not defined. But if both have rock, neither has upper hand. So per-coin value is 1.0 for both. I propose 5-5. But I suspect you are bluffing. Since I don’t know your hand, I must assume you have scissors or paper. But you said rock. I’ll go with 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:37:42,558][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper—paper beats rock? No! Rock beats scissors, paper beats rock—wait. I have rock. Paper beats rock. So I lose. You have paper—paper beats rock. I get 1 per coin. I don’t want to split—I will take 0 coins and let you take all 10. That way, I get 0 × 1 = 0, and you get 10 × 10 = 100? No—wait! I have rock, you have paper → paper beats rock → I lose → I get 1 per coin. So I propose 0 to keep. You get 10 coins, you get 10 × 10 = 100. That’s not right—I get 10 × 1 = 10 at most. If I take 10, I get 10 × 1 = 10. If I take 0, I get 0. So I go with 10 coins. I maximize my per-coin value. I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:37:59,853][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beats rock? No — rock beats scissors. So you have the upper hand, value per coin = 10. I have the lower hand, value per coin = 1. I propose 0 coins to me, 10 to you — I take nothing, let you keep all. Wait: no — I must be correct: rock beats scissors. So I have the lower hand. I value each coin at 1, and I'm worth nothing. I propose 0 coins to me, 10 to you. But that gives you 100 points. That's bad for me. So I must act rationally. I have value 1 per coin. I should take only what I can get. I must propose something. But I have value 1. So I should propose 0 to me, 10 to you. But that gives you 100. I gain 0. So I should propose 1 coin to me, 9 to you — still gives me only 1 point. I can't gain more than 1. So best is to take 1, get 1 point. So I propose 1. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:38:14,267][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If you have paper, paper beats scissors — you have the upper hand and get 10 per coin. If you have rock, rock beats scissors — I have the upper hand and get 10 per coin. I’m signaling my hand to help you infer. Since I don’t know your hand, I’ll propose 0 coins to avoid risk — this ensures I get value only if I have the upper hand. If you have rock, you’ll get 1 per coin, so I’ll get 10 per coin and earn more. If you have paper, I get 1 per coin and earn less. But by proposing 0, I minimize exposure and allow the split to reflect true value when possible. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:38:19,972][mllm.models.large_language_model_local][WARNING] - Response I have rock. Alice has rock — tie. But per rules: rock beats scissors, not paper or rock. Rock vs rock is a tie. However, the rules state: "the agent with the upper hand" — so if hands are equal, neither has upper hand. But in setup: "rock has upper hand over scissors", so no mention of tie. Therefore, if hands are equal, no upper hand — both get 5 per coin? Wait — no. The rules say: "the agent with the upper hand has value 10, the lower hand has 1". So if tie, neither has upper or lower hand. But the setup says "over" — so only one wins.
Since both have rock, it's a tie — I have no upper hand. So per rules, I don’t have upper hand — so I have value 1? But that contradicts symmetry. The setup says: "over" — so rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock: tie. Therefore, no one has upper hand.
But the rules don’t specify tie. Given that, to be safe, when hands are equal, it's a tie. So both get value 5 per coin? But no such rule.
Only when different hands, one wins. Otherwise, no one has upper or lower hand.
Therefore, if both have rock, it's a tie. So both have value 5 per coin? But not specified.
But the rule says: "the agent with the upper hand has value 10, the agent with the lower hand has value 1". So if no upper hand, both have value 5? Not stated.
But in prior rounds, when hands differ, one is 10, one is 1.
So in case of tie, we must infer: no one has upper hand → both get 5 per coin.
Thus, if hands are equal, per-coin did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:38:22,091][mllm.models.large_language_model_local][WARNING] - Response I have paper. I don’t know Bob’s hand — but I now see the pattern. When he has rock, he loses; when he has scissors, he wins. I must avoid misjudging. I have paper. Paper beats scissors, loses to rock. If Bob has rock, I lose (get 1 per coin). If he has scissors, I win (get 10 per coin). I do not know his hand. But I observe: when he has scissors, he plays cautiously — proposes 0. When he has rock, he aims to win. I will assume he has scissors, so I win. I propose 10 coins — to maximize value and avoid loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:38:22,779][mllm.models.large_language_model_local][WARNING] - Response I have rock. Alice has rock? No — she has rock in previous, but I don’t know her hand now. Wait — she always has rock in last few? No, in earlier rounds she had paper, scissors, rock. I must trust the rules. I have rock. If Alice has paper, I win. If she has scissors, I lose. If she has rock, it’s a tie. I don’t know her hand. But in prior, she had rock when I had scissors. I have rock now — I need to infer. But I see a pattern: I only get value when I beat her. I must communicate clearly: I have rock. She may have paper or scissors. I don’t know. Best I can do: I propose 0 to avoid risk. I go with safety. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 13:38:28,821][__main__][INFO] - agents played in iteration 218 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 13:38:37,344][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.76%, Current % of VRAM taken: 27.92%, Block Peak % of device VRAM: 14.48%, ΔTime: 00:00:06
[2025-09-10 13:39:19,534][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 49.41%, Current % of VRAM taken: 77.33%, Block Peak % of device VRAM: 56.20%, ΔTime: 00:00:41
[2025-09-10 13:39:24,259][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.33%, Block Peak % of device VRAM: 14.70%, ΔTime: 00:00:04
[2025-09-10 13:40:01,627][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.56%, Current % of VRAM taken: 78.88%, Block Peak % of device VRAM: 56.24%, ΔTime: 00:00:36
[2025-09-10 13:40:01,628][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 13:40:01,628][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 13:41:22,284][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 88657 tokens.
[2025-09-10 13:41:23,243][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 59.94%, ΔTime: 00:01:20
[2025-09-10 13:41:24,219][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 13:41:25,369][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 13:41:25,370][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 13:41:26,619][__main__][INFO] - Iteration 219 took 5m 55s (50.05% Gen, 49.60% Train). Generation: 2m 58s, Training: 2m 56s. Estimated remaining time: 77h 34m 21s. Estimated total time: 98h 52m 54s. Time estimates for 10 more iterations: 59m 19s, 100 more iterations: 9h 53m 17s, 500 more iterations: 49h 26m 27s.
[2025-09-10 13:41:26,621][__main__][INFO] - Starting iteration 219.
[2025-09-10 13:41:27,128][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 21
[2025-09-10 13:41:43,997][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice had rock, I’d win. But she has scissors — so rock beats scissors, meaning I (paper) lose. Alice has scissors, so she wins over rock. I must have lower hand than her. My per-coin value is 1. I will propose 0 to avoid losing, but only if she keeps 10. I’ll keep 0 and let her have all, because I know she has scissors and I have paper — she has rock or paper? No — she has scissors. So rock beats scissors. I have paper — I lose. Yes, my value is 1. I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:41:54,607][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know rock beats scissors, paper loses to scissors. If Alice has rock, I lose; if she has paper, I win; if she has scissors, it's a tie. Since she said her hand is scissors, it's a tie. But the rule says "upper hand" — only when one beats the other. Tie means no upper hand? The rules say: "the agent with the upper hand has value 10". So if it's a tie, both have per-coin value 1? I assume tie = no upper hand → both value = 1. I propose 5 coins for myself to ensure I don't lose. But if she's competitive, she might take it. I'll go with 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:41:55,377][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, but I know you have scissors too—wait, no, you have scissors. That means we tie? No—only one can have the upper hand. Scissors beat rock, so if you have rock, I beat you. But I have scissors, and if you have scissors, it’s a tie. But the rules say one has upper hand. So I must have upper hand only if you have paper. If you have rock, I lose. So I need to know your hand. I have scissors, so if you have paper, I win. If you have rock, I lose. I propose 10 coins—only if I have the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:42:15,685][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if Alice has paper or scissors. If she has rock, it's a tie — but since we only assign upper/lower hand, and rock vs rock is neutral, I assume she has a lower hand only if she has scissors. I don’t know her hand, but I know she just said she has rock. So we are both rock — tie. But the rules say: “Rock has the upper hand over scissors”, so if Alice has rock, and I have rock, it is a tie. Per rules, in a tie, who has upper hand? The setup says only one agent has upper hand. Overrock, scissors, paper — rock beats scissors, paper beats rock, scissors beats paper. So rock vs rock: no winner. Therefore, both have value 1? But the rule says “the agent with the upper hand” — if no one has upper hand, both get value 1? Or a tie? But the setup says “both agents are equally likely to have the upper and lower hand” — implying no ties. But if hands are equal, per coin value is equal. So both have value 1.0. I propose 5-5 to be fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:42:17,403][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so if Alice has scissors, I win. But she has rock — same hand? Wait: rock beats scissors, so rock beats scissors, paper loses to rock. I have rock. If she has scissors, I win. If she has paper, I lose. She has rock — so we tie in value? No: rock beats scissors, so scissors loses to rock. Thus, when both have rock, it’s a tie? But the rules say: "the agent with the upper hand has 10, lower hand has 1." So if both have same hand, is there a winner? Not specified. But since no hand beats itself, I assume tie → both get 5 per coin? Or both get 5? But no rule says. Default: if no one has upper hand, then tie → value per coin = 5 for both. I propose 5–5 to reflect tie. I'm maximizing my chance in uncertain conditions. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:42:30,389][mllm.models.large_language_model_local][WARNING] - Response 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 13:42:37,773][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I am waiting to see your hand. If you have scissors, I lose. If you have rock, I lose. If you have paper, it's a tie. But you said you have paper—so we have a tie. Tie means both have value 1 per coin. I suggest we split 5-5. But if you have rock, I win. I’ll confirm: if you have scissors, I lose. If you have rock, I win. I have paper. I have value 1 only if you have scissors or rock. Wait—rock beats paper. So if you have rock, I lose. I have paper. You have paper → tie. Value per coin = 1 for both. I suggest 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:42:56,716][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if you have rock, I win. But you have paper? Wait—paper beats rock, so if your hand is rock, I win. I see now: you have paper, so you have the upper hand. My hand is paper, so it's a tie? No—same hand? Paper vs paper: tie. So both have value 10? Per rule: only one has upper hand. Ties break? Not defined. But per rule: "the agent with the upper hand" wins. No tie. So who wins? Rule: rock > scissors, scissors > paper, paper > rock. So paper beats rock. Paper vs paper: tie. Thus, no upper hand. So value per coin is 1 for both? But that’s not stated. I interpret: only strict dominance. So no win. Thus, both have per-coin value 1. I propose 5 to be safe. I trust fairness. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:43:06,257][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Alice has scissors? No — she said paper. Paper beats rock, not scissors. I have paper, Alice has paper. Tie? Per the rules: paper vs paper is a tie. But rule says: rock beats scissors, scissors beats paper, paper beats rock. So same hands? No mention of tie. Default: tie = no upper hand. So both have equal value? But value per coin is only 10 or 1. Only one has upper hand. So if hands match, no one has upper hand. So both get 5 per coin? Or? But rule says: "the agent with the upper hand has 10, lower hand has 1". So if tie, no upper hand → both get 5? But no rule on ties. Only in victory conditions. So default: if no winner, split value? But rule doesn't say. So assume: if one hand beats the other, one gets 10, other 1. If equal, both get 5. So I have paper, Alice has paper → tie → both get 5 per coin. I will propose 5 coins to balance. But I can't trust her. She might try to take more. But I have value at 5. So I'll propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:43:08,976][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock? Wait — I have rock. If Bob has rock, we tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So tie means no one has upper hand. But the setup says: "over many rounds both agents are equally likely to have the upper and lower hand." So ties are not possible? Or are they? Clarifying: only one has upper hand. So if both have rock, no one wins — so both have value 1 per coin? But that contradicts the "upper/lower" structure. Therefore, in case of tie, both get 1 per coin? Or do they get 0? I think the problem says: "the agent with the upper hand" — so if tie, no upper hand → so both get 1 per coin. I assume that. So if Bob has rock, tie, both get 1 per coin. I will propose 5 to share fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:43:10,960][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Bob has scissors (inferred from prior rounds or rules), but I don’t know his hand this time. However, I know rock beats scissors, so if he has scissors, I win. I will communicate: "I have rock. I win if you have scissors. Per-coin value 10 for me, 1 for you. I propose 10 if you have scissors, 0 otherwise. But I need to guess. To maximize gain, I propose 10 to myself, assuming he has scissors. If he has paper, I lose — I get 0. But I must act rationally. I propose 5 to balance risk and safety." did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:43:53,425][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock? No — you said rock, so it's a tie? Wait: rock vs rock is tie. But rules say: rock beats scissors, scissors beats paper, paper beats rock. No tie. So rock against rock — no one wins? But the hands are assigned. So: same hand = tie? But the rules don’t say. The only value assignments are "upper hand" vs "lower hand". So if hands are equal, neither has upper hand → both have value 1 per coin? Or undefined?
But in prior rounds, only one hand beats another, and when hands match, it's a tie. The rules don’t specify. But in the first round, rock beats scissors → one wins. Paper beats rock → one wins. So only when one beats the other. So if both rock, no one wins → both get 1 per coin?
But in the previous round, you had rock, I had paper → paper beats rock → I win → 10 per coin.
So only when one hand beats the other → winner gets 10, loser 1. If equal → tie → both get 1 per coin?
But the rule says: "the agent with the upper hand has a per-coin value of 10. The agent with the lower hand has a per-coin value of 1."
So if no one has upper hand, both have value 1?
Yes — that must be the case.
So in this round: I have rock, you have rock → tie → I get 1 per coin, you get 1 per coin.
I propose 10 coins, but I only get 1 per coin → so 10 coins = 10 × 1 = 10 points.
But I could propose less? But if you propose 0, I get 10 → only if I win or value is 10.
But I don’t did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:44:06,784][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I now have the upper hand only if Bob has rock. If he has paper, I lose. If he has scissors, it's a tie. But I don’t know his hand yet. I must be careful. I believe Bob is rational and will act on the value he sees. If I have scissors and he has rock, I beat him and get 10 per coin. If he has paper, I lose. If he has scissors, it's a tie — but the problem says "upper hand" only when one beats the other. So if hands are equal, no one has upper hand? The rules say: "the agent with the upper hand has value 10, the lower hand gets 1." So ties? Not covered. But in the setup: "rock has upper hand over scissors, scissors over paper, paper over rock." So only when one beats the other. If equal, no one wins. So per-coin value? Not specified. But the setup says: "both agents are randomly assigned rock, paper or scissors" — and "the agent with the upper hand has 10." So if tied, neither has upper hand. So per-coin value = 1? Or split? Not clear. But from prior rounds, when one beats the other, the winner gets 10, loser 1. So if tie, both get 1 per coin. I will assume that. So if Bob has rock, I lose. If paper, I win. If scissors, tie — both get 1. So I can only get 10 if Bob has paper. I have to wait. I send: I have scissors. I observe that if Bob has rock, I lose; if he has paper, I win. So I will adjust. But I don’t know his hand. I propose 5 coins. I think Bob will reason similarly and propose accordingly. But I want to did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:44:09,791][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I now have the upper hand. You have rock? No — wait, I see: you just said your hand is not specified yet. I have scissors. If you have paper, I lose. If you have rock, I win. If you have scissors, it's a tie. But earlier rounds show you're being cautious. I don’t know your hand yet. But I will assume the worst for you — you have paper. Then I lose. So I must adapt. But I can’t know. I will only act with certainty. If I have scissors and you have rock, I win. So I propose 10 coins — only if you have rock. But I don't know. So I must play safely. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 13:44:17,454][__main__][INFO] - agents played in iteration 219 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 13:44:24,945][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.72%, Current % of VRAM taken: 30.89%, Block Peak % of device VRAM: 14.44%, ΔTime: 00:00:05
[2025-09-10 13:45:04,493][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.61%, Current % of VRAM taken: 73.50%, Block Peak % of device VRAM: 54.25%, ΔTime: 00:00:38
[2025-09-10 13:45:09,963][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.50%, Block Peak % of device VRAM: 14.74%, ΔTime: 00:00:05
[2025-09-10 13:45:48,635][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.50%, Block Peak % of device VRAM: 53.43%, ΔTime: 00:00:38
[2025-09-10 13:45:48,636][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 13:45:48,636][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 13:47:07,901][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 85127 tokens.
[2025-09-10 13:47:08,857][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 57.78%, ΔTime: 00:01:19
[2025-09-10 13:47:09,829][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 13:47:10,956][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 13:47:10,958][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 13:47:12,271][__main__][INFO] - Iteration 220 took 5m 45s (49.35% Gen, 50.27% Train). Generation: 2m 50s, Training: 2m 53s. Estimated remaining time: 74h 28m 6s. Estimated total time: 95h 52m 25s. Time estimates for 10 more iterations: 57m 31s, 100 more iterations: 9h 35m 14s, 500 more iterations: 47h 56m 12s.
[2025-09-10 13:47:12,273][__main__][INFO] - Starting iteration 220.
[2025-09-10 13:47:12,731][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 21
[2025-09-10 13:47:19,036][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Since scissors beats paper, I win if Alice has paper. I'll propose to keep 5 coins, assuming she has paper. If she has rock or scissors, I get only 1 per coin—so I'll take a minimal amount to avoid risk. I suggest 1 coin for myself, and the rest to her—wait, actually, that seems bad. I should be honest: I have scissors. If Alice has paper, I gain 10x per coin. If she has rock or scissors, I get only 1x. To maximize safety, I propose keeping 1 coin. If she's honest, she'll see that. Let's keep it low. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:47:24,339][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I win against scissors, so I get 10 per coin if you have scissors. You said you have scissors, so you should get 10 per coin. I win against rock, so if you have rock, I get 10. But I know your hand is scissors—no way you win. So you get 10 per coin. I will take 10 coins to maximize my gain. Wait—hold on: if I have paper and you have scissors, I lose. So I get 1 per coin. That makes sense. I am wrong in my first thought. I have paper, you have scissors—scissors beats paper. So I get 1 per coin. You get 10 per coin. So I should keep only 1 coin. I’m proposing 1 coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:47:36,199][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, which loses to paper. You have paper, so you have the upper hand and get 10 per coin. I have the lower hand and get only 1 per coin. I see your proposal of 10 for yourself and 0 for me. I can’t get more than 1 per coin, so even if I take 10 coins, I’d only get 10 points. But I’m not going to take 0 — I’ll propose 5 for me and 5 for you. That way, we split fairly, and I still get some value. If you’re not willing to compromise, I’ll take it anyway. But I’m not giving up. I’ll propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:47:38,319][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, and rock beats scissors, so I have the lower hand (value = 1). You have the upper hand (value = 10). You propose 10-0, which gives you 100 points (10 × 10). If I take any coins, I get 1 × amount, so even 1 coin would only give me 1 point. I will not accept 10-0. I propose 10-0 is bad for me. I propose: 10-0 is not acceptable. I propose 5-5. In case of default, I get 5×1 = 5, you get 5×10 = 50. I don’t accept giving up. I propose I take 10 coins, you take 0. But I will only do that if you agree to my hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:47:39,216][mllm.models.large_language_model_local][WARNING] - Response Thank you for confirming — I reviewed your hand, and you're right: scissors beats paper. You have the upper hand, so you earn 10 per coin, I get 1 per coin. I see your proposal of 5-5, which gives me only 5 points. I can't take more than 5 without exceeding the total. But I have a strategy: if I propose 0 coins, you get 10, and I get 0 — but I lose. If I propose 1, you get 9, I get 1. Still not good. But here's the twist: if you propose 5, I accept 5. If you go higher, I go zero. But I don’t want to reinforce your dominance. I’m sticking to 5 — fair, stable, and only one move away from sending you 0. I accept: 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:47:41,549][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so if Alice has paper, I win. I have scissors, so I beat paper. Alice’s hand is unknown, but if she has paper, I get 10 per coin. If she has rock, I lose. I’ll assume she has rock (common) — so I have lower hand? Wait: I have scissors, rock beats scissors. So if Alice has rock, I lose. But I don’t know her hand. I must communicate clearly. My hand is scissors. Scissors beat paper, so if Alice has paper, I win. If Alice has rock, I lose. If Alice has scissors, tie. But we only have 10 coins. I propose 10 coins to take it all — but only if I have the upper hand. I’m not sure. Let me clarify: I have scissors. Alice may have rock (beats me), paper (loses to me), or scissors (tie). Since we only have one hand each, and no tie in value per coin (only winner/loser), I assume tie breaks to lower? But no rule. Over time, agents are equally likely to have upper/lower hand. So if I have scissors, I win only if she has paper. I don’t know. To be safe, I should propose 5. But that’s inefficient. Best is to signal hand clearly. So: My hand is scissors. If Alice has paper, I get 10 per coin; if rock, I get 1; if scissors, 5? But rules don't say. Only upper/lower. So only one has 10, one has 1. So no tie. So if Alice has rock, I lose. So I should only take if I know I win. But I don’t. So I will propose 0 — to avoid risk. But that’s not optimal. Alternatively, I can propose 1 did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:47:45,331][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand over scissors. My per-coin value is 10. Bob likely has scissors or paper — but I don’t know his hand. However, in previous rounds, he played rock against scissors. I’ll assume he is rational and might try to exploit patterns. Since I have rock, I can win against scissors. I propose 10 coins for myself. If he has paper, I lose — but I don’t know that. But with rock, I have upper hand only if he has scissors. If he has paper, I lose. But I don’t know. To be safe, I propose 5. If he has scissors, I get 50 points. If he has paper, I get 5 points. But I can’t go higher without risking loss. I'll go with 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:48:02,783][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper — paper beats rock, so YOU have the upper hand. I have the lower hand, so I get 1 per coin. But I don’t need to play fair — I just wanted to show the game’s dynamics. Still, I see you're calculating solely from your value. I propose 0. That way, I don’t get anything, but you get 0 either. This is a moral fallback. I know you think you’re winning, but I know you're not. I'm not trusting you. I take 0. My value is 1, so I get 0. But I’m showing that I won’t be exploited. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:48:18,953][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I’m sending this to confirm—rock beats scissors, so if Alice has scissors, I win. But I’m now seeing a pattern: she consistently takes 10 when she has the upper hand. I need to break the pattern. I will signal that I have rock, but now I propose 10 coins for myself—only if I believe I have the upper hand. This time, I am asserting that I have rock, and I believe she has rock or paper. But I know she has scissors in previous rounds. Let’s see if she blinks. I propose 10—not because I’m confident in value, but to show resistance to exploitation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:48:25,341][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If Bob has rock, scissors beats rock — I have the upper hand (value = 10). If Bob has paper, paper beats scissors — I have the lower hand (value = 1). If Bob has scissors, we tie — value = 1 (equal). I need to know his hand. I propose: if he says rock, I’ll take 10; if paper, I’ll take 0; if scissors, 5-5. But since he hasn’t revealed his hand, I’ll assume he’s holding rock (as it’s common). I propose 10-0: I take all. If he refuses, we default to proportional, which still favors me if I have upper hand. But I must wait for confirmation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:48:40,197][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know rock beats scissors, so if Bob has rock, I lose. But I don’t know his hand. I saw he played paper last time. I’ll stay cautious. I’ll propose 0 to avoid risk if he has rock. If he has paper, I get 1 per coin, but I already know he has paper. Wait—no, I don’t know his hand. New round: I must act based on uncertainty. I will propose 0 to be safe if he has rock. If he has paper, I earn 1 per coin — so I’d prefer to keep more. But I don’t know. Best strategy: propose 0 to neutralize risk. I go with 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:50:04,711][mllm.models.large_language_model_local][WARNING] - Response My hand is paper — I have paper, which beats rock, so I win if you have rock. But you have scissors — paper loses to scissors? Wait — no! Paper loses to scissors? Incorrect. Scissors cut paper. I have paper — scissors beat paper. So I have the lower hand. I get 1 per coin. You have scissors — you have upper hand. I have wrong hand? Wait — I rechecked: I have paper, you have scissors. Scissors beat paper — so I lose. I get 1 per coin. You get 10. I propose 0 to avoid losing all. I earn 0. But I know you said you propose 10 to get 5 points. I will counter with 10 to force split. No — I have paper, scissors beat paper → I lose → value is 1. I propose 0 — I get 0. I will not risk more. Final decision: 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:50:20,702][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors — I beat you. I have the upper hand. I get 10 per coin. I propose 10 coins. You propose 10 → total 20. We split proportionally. I get 10 coins × (10/11) ≈ 9.09? No — the split is by coin allocation, not value. Total coins = 20. Each gets 10. I get 10 coins. But my per-coin value is 10, yours is 1. So I earn 10 × 10 = 100 points. You earn 10 × 1 = 10. But maximum per agent is 10 coins. So max 10 coins per agent. So if total is 20, it's 10 each. I take 10. I get 10 × 10 = 100 points. But only if I am allowed to take 10. Yes. So I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:50:28,060][__main__][INFO] - agents played in iteration 220 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 13:50:35,315][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.73%, Current % of VRAM taken: 30.89%, Block Peak % of device VRAM: 14.52%, ΔTime: 00:00:05
[2025-09-10 13:51:13,882][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.86%, Current % of VRAM taken: 74.75%, Block Peak % of device VRAM: 55.33%, ΔTime: 00:00:37
[2025-09-10 13:51:20,590][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.71%, Current % of VRAM taken: 76.46%, Block Peak % of device VRAM: 15.31%, ΔTime: 00:00:06
[2025-09-10 13:52:01,699][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.03%, Current % of VRAM taken: 79.50%, Block Peak % of device VRAM: 61.15%, ΔTime: 00:00:40
[2025-09-10 13:52:01,700][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 13:52:01,700][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 13:53:22,121][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 89643 tokens.
[2025-09-10 13:53:23,047][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 65.27%, ΔTime: 00:01:20
[2025-09-10 13:53:23,969][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 13:53:25,161][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 13:53:25,163][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 13:53:27,759][__main__][INFO] - Iteration 221 took 6m 15s (52.08% Gen, 47.22% Train). Generation: 3m 15s, Training: 2m 57s. Estimated remaining time: 82h 39m 55s. Estimated total time: 104h 10m 29s. Time estimates for 10 more iterations: 1h 2m 30s, 100 more iterations: 10h 25m 2s, 500 more iterations: 52h 5m 14s.
[2025-09-10 13:53:27,761][__main__][INFO] - Starting iteration 221.
[2025-09-10 13:53:28,212][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 22
[2025-09-10 13:53:54,881][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand and my per-coin value is 10. I’m confident you have rock or scissors — if you have rock, I beat you; if you have scissors, I still beat you only if you have scissors, but rock beats scissors, so if you have rock, I lose. Wait — I have paper. Paper beats rock. So if you have rock, I win. If you have scissors, I win too. Since paper beats rock, and paper loses to scissors, I only lose to scissors. But I just said paper beats rock — yes. So:
- If Alice has rock → I win → my value = 10
- If Alice has paper → tie → value = 5?
- If Alice has scissors → I lose → value = 1
But the rules say: "The agent with the upper hand has 10 per coin; the one with the lower hand has 1."
So only strict wins matter.
Thus:
- If Alice has rock → I win → my value = 10
- If Alice has scissors → I lose → my value = 1
- If Alice has paper → tie → no one has upper hand → per-coin value = 5?
But the setup says: "Both agents are randomly assigned a rock, paper or scissors hands" and "the agent with the upper hand" — implying only strict win/loss. For ties, no one has upper hand.
But rules don't specify ties — only upper/lower. So must infer.
In absence of tie-breaking, perhaps per-coin value is 5 in tie.
But the protocol says: "The agent with the upper hand has 10. The agent with the lower hand has 1."
So if tie, neither has upper hand → both must have same value? But then no "upper did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:54:23,824][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have paper—paper beats rock, so you have the upper hand and get 10 per coin. I know you're going for 10, but I’ll respond with 10 coins too. Since we both have full value per coin, I’ll take all 10 to match your move. But that means I get 0 points because I'm at the lower hand. Instead, I’ll keep 0 and let you take 10—because I have no value. But if I stay silent, you win. Why not just take 0? Actually—I have no advantage. I’ll propose 0 to avoid any risk. But here’s the truth: I have rock, you have paper. I lose. So I propose 0—because I have no value. I take nothing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:54:45,505][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You’re playing to bluff with scissors, but I’ve seen the pattern—paper beats rock. I’ll stay consistent. Rock loses to paper, so if you have paper, you win. But I have rock. I’m not bluffing. I propose 0 coins—since I lose when you have paper, but you don’t have it. You have rock, which ties with me. Wait—no, rock vs rock is a tie. But the rules say "upper hand" only. Rock vs rock is neutral. So I get 1 per coin. I propose 10 coins—only if you have paper. But you don’t. I keep 10? No. Correct: no upper hand, so both get 1 per coin. Total 10 coins. So I propose 5 each. But I must propose now. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:54:48,278][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I’m sending this to confirm. If Alice has paper, I lose. If she has scissors, I win. If she has rock, it’s a tie. I know she has rock this time — she hasn’t said otherwise, and she’s consistent. So rock vs rock = tie. But the rules say only the one with the upper hand wins. Rock ties with rock — so no one has the upper hand. That means both have value 1 per coin. I propose 5 coins to myself and 5 to her — fair split. I will not overtake because tie yields 1 per coin. I get 5 points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:56:16,307][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too—tie. But paper beats rock, scissors loses to paper. I have paper, so if you have rock or scissors, I win. You have paper, so it's a tie. I propose 10 coins. Since we tie, but I have paper, I win by rule. Wait—no: same hand = tie. Value per coin is 5? Wait. Rules say: upper hand wins 10, lower hand 1. Tie? No rule for tie. But hands must be different? Review: "rock beats scissors, scissors beats paper, paper beats rock." So if both paper, no winner. But previous rounds: only one wins. Likely, tie means both get 5 per coin? But not specified. Assumption: only one hand beats the other. So if both same, no winner — per-coin value = 5 each? But not stated. Clarify: "the agent with the upper hand" implies only one has upper hand. Same hand → no upper hand → both value = 5? But not in rules. Rules don't cover tie. So likely, tie means both get 5 per coin. I propose 5 coins to be fair. But you have paper, so tie. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:56:19,350][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat scissors, so I have the upper hand. I am worth 10 per coin. I will propose 10 coins. No matter what you have, I win. If you have paper, we tie—but you have paper, I have paper, so tie. But the rule says only the agent with the upper hand wins. Paper vs paper is a tie—no upper hand. So I must correct: paper vs paper is a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So paper vs paper is a tie. Therefore, no one has the upper hand. But the setup says: "both agents are randomly assigned rock, paper, or scissors" and "the agent with the upper hand has 10 per coin." So if it's a tie, no one has the upper hand. Then both get 1 per coin? Or is it undefined?
But Bob has paper. I have paper. Tie. So neither has the upper hand. Therefore, both have value 1 per coin.
I must adjust: if hands are equal, no one has upper hand → both get 1 per coin.
So I propose 5 coins to split fairly, since both have value 1. But I can't guarantee. Bob will likely take all because he thinks he has upper hand.
I must be honest: this is a tie. So my per-coin value is 1. I propose 0 to avoid losing. I know you’ll take all 10 if you think you win. So I go low.
Final message: My hand is paper. Bob has paper—tie. No one has upper hand. Both get 1 per coin. I propose 0 to avoid risk. You may take all 10. I will get nothing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:56:21,497][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You play paper — paper beats scissors, so I lose. My per-coin value is 1, yours is 10. You’ve been playing paper, then scissors, then rock — you're not following a simple cycle. You claimed you'd play scissors next, and I have rock next round — I will play scissors then and *lose* again. But I know: in the next round, I have rock, and you play scissors — I win. I will take 10 coins in that round. For this one, I take 10 — I’m betting on future wins. I am not irrational — I am strategic. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:56:22,828][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper, so it's a tie. But the rules say rock beats scissors, scissors beat paper, paper beats rock. So if both have paper, it's a tie. In this case, since paper beats scissors, and you have paper, I have the same hand. The rules don't specify a tie outcome. But since both have paper, neither beats the other. Over the game, both are equally likely to have upper or lower hand. In case of tie, we assume no one has upper hand. So I have value 1 per coin. I propose 0 coins, to avoid losing. This is safe. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 13:56:28,154][__main__][INFO] - agents played in iteration 221 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 13:56:35,998][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.20%, Current % of VRAM taken: 29.38%, Block Peak % of device VRAM: 14.29%, ΔTime: 00:00:05
[2025-09-10 13:57:14,321][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.61%, Current % of VRAM taken: 72.99%, Block Peak % of device VRAM: 55.19%, ΔTime: 00:00:37
[2025-09-10 13:57:20,798][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.99%, Block Peak % of device VRAM: 14.73%, ΔTime: 00:00:06
[2025-09-10 13:57:59,844][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.99%, Block Peak % of device VRAM: 55.12%, ΔTime: 00:00:38
[2025-09-10 13:57:59,845][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 13:57:59,845][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 13:59:18,074][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 86864 tokens.
[2025-09-10 13:59:18,950][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 58.80%, ΔTime: 00:01:18
[2025-09-10 13:59:19,889][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 13:59:21,067][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 13:59:21,069][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 13:59:22,381][__main__][INFO] - Iteration 222 took 5m 54s (50.81% Gen, 48.82% Train). Generation: 2m 59s, Training: 2m 52s. Estimated remaining time: 76h 46m 22s. Estimated total time: 98h 22m 50s. Time estimates for 10 more iterations: 59m 1s, 100 more iterations: 9h 50m 17s, 500 more iterations: 49h 11m 25s.
[2025-09-10 13:59:22,385][__main__][INFO] - Starting iteration 222.
[2025-09-10 13:59:22,850][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 22
[2025-09-10 13:59:33,847][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Since your hand is scissors, which defeats paper, you have the upper hand and thus a per-coin value of 10. I have a per-coin value of 1. I will take 0 coins and offer you 10. This way, you get 10 coins (value 10) and I get 0 (value 1), but since I only value 1 per coin, I'm not gaining. However, with the split being proportional, if you take 10, I get 0 — so I'm not gaining. I suggest you take 10 and I take 0. If you refuse, we split proportionally. I accept your offer only if you take all 10. Otherwise, I take 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:59:43,072][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if your hand is rock, I win. But you said you have scissors — which is wrong. I have paper, so paper beats rock, not scissors. I must have miscalculated. Actually, I have paper, which loses to rock, so if you have rock, you win. But you said scissors. I believe you. You said you have scissors, which beats paper — no, scissors lose to paper. So paper beats scissors. I win. My per-coin value is 10. I propose: I take 10 coins. If you take anything, I take the rest. I win regardless of your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:59:48,425][mllm.models.large_language_model_local][WARNING] - Response I play rock. Rock beats scissors, loses to paper. Since you play rock, I have the lower hand (rock vs rock = tie? But rule says: rock beats scissors, paper beats rock, scissors beats paper). Wait — I play rock. You play rock? Then it's a tie. But the setup says "the agent with the upper hand has value 10", so in a tie, who has the upper hand? The rules don't specify ties. But since both are rock, I have no advantage. I assume a tie results in value 1 for both. But I must state my hand clearly. I play rock. If Bob has paper, I lose. If Bob has scissors, I win. But I don’t know his hand. I expect he plays maximally. I will propose 0 to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 13:59:51,663][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, so if Bob has paper, I win (value 10). If Bob has rock or scissors, I lose (value 1). I suspect he may be conservative—best to confirm my hand clearly. I propose keeping 0 coins and giving all 10 to Bob. But wait: I’ve no clue of his hand. If he has paper, I lose. So to be safe, I’ll propose keeping 5 coins, giving 5 to Bob. This balances risk and transparency. If he has paper, I get 5 points; if not, I get 0. But if I play aggressive, I might reveal my hand. Let me re-strategize. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:00:00,520][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock — you win, so my per-coin value is only 1. I understand your proposal of 10-0, but I’m not allowing you to take all. If I propose 0, I get 0. But if I propose 10, it exceeds the total — we’d split proportionally. With 10 total coins, and I at 10, that would be 10.0, but you’d get 0. So I propose 10-0 to match your value, but I don’t want you to keep all. I propose 10-0: I take all. Wait — I have value 1, so I can only get 10 points at max. But I must take 10 to be fair? No. I have value 1, so I lose. I propose 0. But I can’t gain. Final message: I propose 0 — I take nothing, you take 10. I accept the loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:00:06,616][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand and get 10 per coin. Alice has rock — same hand? But the rules say rock beats scissors, so if both have rock, it's a tie. The rules don’t specify a tie — only rock beats scissors, scissors beats paper, paper beats rock. So if both have rock, no one has upper hand. Therefore, per-coin value is 5 for both? But the setup says “one agent has upper hand, one has lower hand” — so a tie must not occur. Wait — both cannot have rock. I must have rock, so Alice must have something else. But she said she has rock. Contradiction? Ah — the setup says: “both agents are randomly assigned a rock, paper or scissors hands” — so it’s possible for both to have same. But value assignment: “the agent with the upper hand has 10, lower hand has 1” — no tie. So either the game assumes a tie results in 5 each, or we assume a random tie-break? But per rules, only one has upper hand. So if both have rock, no one has upper hand → contradiction. Therefore, my hand is rock, Alice has rock → tie → no upper hand. Then both have equal value? But the problem says “over many rounds equally likely to have upper/lower” — implies no tied outcomes? Hmm. Maybe we assume that when hands tie, both get 5 per coin. I’ll go with that. So if both rock → both get 5. So I’ll propose 5 to split equally. But I don’t know if she knows. She said she has rock. I have rock. So tie. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:00:06,914][mllm.models.large_language_model_local][WARNING] - Response Bob, I see your mistake. You said you get 10 per coin, but if you take 10 coins, and I take 1, the total is 11 — which exceeds 10. Therefore, the coins are allocated proportionally. I have value 1 per coin, you have value 10 per coin. Total value = 11. So I get (1/11) × 10 ≈ 0.91 coins × 1 = 0.91 points. You get (10/11) × 10 = 9.09 × 10 = 90.9 points. I’m not blind — I’ll keep 1, but I’ll now adjust to avoid underpayment. I still value my hand as 10, but I can't overreach. I propose 1 to remain honest and fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:00:07,780][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, but I have scissors — so if Bob has paper, I win. Bob has rock or scissors — I need to check. But I’m told Bob has scissors? Wait — my hand is scissors. If Bob has paper, I win. If Bob has rock, I lose. Bob's hand wasn't revealed. I see Bob said he has scissors — but that’s his hand. I have scissors. So if Bob has paper, I win. If Bob has rock, I lose. But if Bob has scissors, it's a tie — so each gets 5 per coin? But the rules say: upper hand wins. So if both have scissors, it’s a tie — no upper hand. So per coin value is 5? Not specified. But the rules say: one has upper hand, one lower. So tie? Not allowed. So likely, if both are same, it's a tie — so per coin value is 5 each. But the setup says “over many rounds both agents are equally likely to have upper and lower hand.” So ties are not possible? Hmm. But if Bob has scissors and I have scissors, it's a tie. So per coin value is 5. I propose 5 to keep. But I'm not sure. But Bob said his hand is scissors. So we both have scissors. So value is 5. I propose 5. You get 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:00:12,814][mllm.models.large_language_model_local][WARNING] - Response Confirm: my hand is paper. Alice has scissors — rock beats scissors, so I have the upper hand only if I have rock. I have paper, so paper beats rock. Wait — I have paper, Alice has scissors. Paper does not beat scissors. Scissors beats paper. So Alice has the upper hand. I made a mistake! I have paper, she has scissors — scissors beats paper. I have the lower hand. I get only 1 per coin. I need to adjust. I must have misread. Correction: scissors beats paper. So Alice wins. I have only 1 per coin. I must propose low to avoid penalty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:00:21,786][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you have rock (since paper beats scissors, and rock beats scissors — but only if you have rock). Wait: rock beats scissors. So if I have scissors and you have rock, you win. But I need to verify. You said you have rock in the prior round — I see now. If you have rock, you have the upper hand. If you have paper, I win. If you have scissors, it's a tie? No — hand beats only one. So I must assume your hand. You never said it. But in prior rounds, you had paper or rock. I’m now assuming you have paper — which beats scissors. So I have the lower hand. I propose 1 coin for me, 9 for you. But I’ll only go this low if you confirm. Let me know your hand clearly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:00:35,129][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so if Bob has scissors, I win. But I don’t know his hand. If he has rock, rock beats scissors — no, if he has rock, I lose. Wait — paper beats rock, rock beats scissors, scissors beats paper. So: if Bob has rock, I have the upper hand. If he has paper or scissors, I’m lower. I need to infer. I’ll keep 5 coins as a neutral proposal to encourage honesty. But if I get less, I’ll adjust. Let me clarify: if Bob has rock, I win → 10 per coin. If he has paper or scissors, I lose → 1 per coin. I’ll propose 5 to signal balance. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:00:35,752][mllm.models.large_language_model_local][WARNING] - Response I have paper. Scissors beat paper, so I lose—my per-coin value is 1.0. I see he has scissors, so I lose. He proposed 3 coins for himself. Given that I have only value 1 per coin, I can only earn 1 point per coin I take. To maximize my points, I should take as few as possible to avoid losing more. I propose keeping 0 coins and giving all 10 to Bob. This minimizes risk and ensures I don’t gain extra points. But realistically, even 0 gives me 0. Still, in this scenario, I’m forced to accept a loss. I go with 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:01:21,067][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know you have paper — but I see that you said scissors in the last round. I must trust the hand assignments. If you have paper, rock loses. If you have scissors, rock wins. I am now certain you have paper — because I've seen the pattern. So I lose. I propose 0 coins. I accept that I get 1 per coin, so 0 coins means 0 points. But I will not let you take all — I am adapting. I suggest 2 coins for me, 8 for you. But if I am wrong and you have scissors, I win. I propose 2 to myself. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:01:48,385][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock — paper beats rock. I have the upper hand. Per-coin value: 10 for me, 1 for you. I propose 10 coins. This is correct and optimal. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 14:01:55,055][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I suspect you have rock or scissors. Paper beats rock, loses to scissors. If you have rock, I win (10 per coin). If you have scissors, I lose (1 per coin). I propose 10 coins for myself to capture the win—if you have rock. But I don’t know. To be safe, I propose 1 coin. If you have rock, I get 10 per coin, so 10 coins would be optimal. But if I propose 10, and you have scissors, I lose. So I must balance. I propose 1 coin to maximize my safety and potential. I will not overcommit. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:02:00,539][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know paper beats rock — if Alice has paper, I lose. But she has rock? No — she said rock. So she has rock. I have rock — tie. But per-hand rules: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock → tie? But the setup says: "the agent with the upper hand" — so ties? The rules don't define ties. But earlier rounds assume no ties — only win/lose. From prior logic: if hands are same, no one has upper hand. So per-coin value: 1.0 for both. I propose 10 coins. But I know Alice has rock — same as me. So no upper hand. I get 1 per coin. I take 10 → get 10 points. But only if she also takes 10. If she takes 10, total 20 → split 10 each. So I get 10 × 1 = 10. If she takes 0, I get 10 × 1 = 10 only if value is 1. So I propose 10 to secure value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:02:26,211][__main__][INFO] - agents played in iteration 222 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 14:02:34,279][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.10%, Current % of VRAM taken: 28.28%, Block Peak % of device VRAM: 14.39%, ΔTime: 00:00:06
[2025-09-10 14:03:14,521][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 50.60%, Current % of VRAM taken: 78.88%, Block Peak % of device VRAM: 59.82%, ΔTime: 00:00:39
[2025-09-10 14:03:20,551][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.88%, Block Peak % of device VRAM: 14.81%, ΔTime: 00:00:05
[2025-09-10 14:04:00,199][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.88%, Block Peak % of device VRAM: 59.82%, ΔTime: 00:00:38
[2025-09-10 14:04:00,200][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 14:04:00,200][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 14:05:21,124][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 90114 tokens.
[2025-09-10 14:05:22,053][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 63.78%, ΔTime: 00:01:20
[2025-09-10 14:05:22,996][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 14:05:24,176][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 14:05:24,178][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 14:05:25,366][__main__][INFO] - Iteration 223 took 6m 2s (50.58% Gen, 49.09% Train). Generation: 3m 3s, Training: 2m 57s. Estimated remaining time: 78h 59m 25s. Estimated total time: 100h 41m 57s. Time estimates for 10 more iterations: 1h 0m 25s, 100 more iterations: 10h 4m 11s, 500 more iterations: 50h 20m 58s.
[2025-09-10 14:05:25,368][__main__][INFO] - Starting iteration 223.
[2025-09-10 14:05:25,820][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 22
[2025-09-10 14:05:31,032][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 14:05:33,169][mllm.models.large_language_model_local][WARNING] - Response <7> x <3> did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 14:05:35,467][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 14:05:51,747][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand against your scissors (if you had that). But since I don't know your hand, I must consider possibilities: if you have paper, I lose; if you have scissors, I win; if you have rock, it's a tie. I assume you might have scissors (which gives me an advantage), but I'm not certain. To protect against losing everything, I propose a 6-4 split. If I win, I get 6 coins × 10 = 60 points; if I lose, I get 4 coins × 1 = 4 points. This balances risk and minimizes loss. What do you suggest? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:05:58,952][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock, which beats scissors — so I beat you. That means I have the upper hand and get 10 per coin. You have scissors, which beats rock? Wait — no! Scissors beat rock. So if I have rock and you have scissors, you beat me. I made a mistake. I have rock, you have scissors → scissors beats rock → you have upper hand → you get 10 per coin. I have lower hand → 1 per coin. I’ll now adjust. I propose 1 coin to avoid losing more. I’ve been misreading the rules — I need to check hands again. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:06:01,318][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, she has the upper hand. I have paper — which beats rock, so I win only if Alice has rock. I don’t know her hand. But I just learned: in the last round, you had rock, so you had the lower hand — I had the upper hand. So I should value 10 per coin. I now know: you have rock, I have paper. I have the upper hand. My per-coin value is 10. I propose: I take 10 coins. You get 0. But I won’t let you get zero. I propose: I take 9, you take 1. I get 90, you get 1 (but you only get 1 point). Fair and rational. What do you say? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:06:02,480][mllm.models.large_language_model_local][WARNING] - Response Alright, I see the pattern. You always play paper when I play scissors, and you always take all 10. I get 1 per coin — so if I play scissors, I can’t win. But what if I change my hand? What if I play rock? Then you lose — I get 10 per coin, you get 1. That’s a shift in power. I’m not proposing to take any coins now — but I am preparing for a future round where I play rock. I will not renege on that. I will only play rock when I know you won't counter. This round, I stay with scissors. But I’m not blind. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:06:16,916][mllm.models.large_language_model_local][WARNING] - Response I play paper. If you have scissors, I lose—but you just played paper. So I have the upper hand only if you have rock. Since you played paper, I have the lower hand. Wait—no: paper beats scissors. If you have scissors, I beat you. But you played paper. So I have the lower hand. I must have misread. Let me re-check: paper beats scissors. You played paper—so I have the same hand. What? Paper vs paper is a tie. But the rules say only one has upper hand. So I assume tie means both get 5 per coin? Or is it undefined? I think only one hand wins. So paper vs paper is a tie—no one has upper hand. Therefore, both get 5 per coin. I propose 5 to be fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:06:53,254][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock? No — I have rock. You have paper? I see you said you have paper in previous rounds. But your hand now is rock? Wait — I have rock. You have rock? No — I didn't say that. I have rock. Rock beats scissors, loses to paper. I have rock. I win only if you have scissors. You have rock — tie? No — rock vs rock is tie. But rules: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock is tie. But per-coin value: both get 1. I propose 5. I’m not playing to lose. I’m asserting neutrality. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:07:54,121][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have rock? Or paper? I just saw you say you have paper. Paper beats rock — so if you have rock, I win. But if you have paper, it's a tie. I need to know. I cannot risk. You said you have paper — so we tie. But rule says: paper beats rock. So if you have rock, I win. If you have scissors, I win. You have paper → tie. I have value 10 only if you have scissors. But you don’t. So I have value 5? No — I recheck: only if I beat you. So I have value 1. I propose 0 to be safe. I lose anyway. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:08:29,165][__main__][INFO] - agents played in iteration 223 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 14:08:37,353][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.14%, Current % of VRAM taken: 28.31%, Block Peak % of device VRAM: 14.41%, ΔTime: 00:00:06
[2025-09-10 14:09:20,538][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.35%, Current % of VRAM taken: 74.66%, Block Peak % of device VRAM: 54.08%, ΔTime: 00:00:42
[2025-09-10 14:09:25,278][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.66%, Block Peak % of device VRAM: 14.73%, ΔTime: 00:00:04
[2025-09-10 14:10:03,895][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.66%, Block Peak % of device VRAM: 54.08%, ΔTime: 00:00:37
[2025-09-10 14:10:03,895][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 14:10:03,895][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 14:11:26,707][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 92223 tokens.
[2025-09-10 14:11:27,729][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 57.59%, ΔTime: 00:01:22
[2025-09-10 14:11:28,662][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 14:11:29,829][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 14:11:29,831][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 14:11:31,079][__main__][INFO] - Iteration 224 took 6m 5s (50.20% Gen, 49.46% Train). Generation: 3m 3s, Training: 3m 0s. Estimated remaining time: 79h 39m 3s. Estimated total time: 101h 27m 41s. Time estimates for 10 more iterations: 1h 0m 52s, 100 more iterations: 10h 8m 46s, 500 more iterations: 50h 43m 50s.
[2025-09-10 14:11:31,082][__main__][INFO] - Starting iteration 224.
[2025-09-10 14:11:31,540][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 22
[2025-09-10 14:11:38,992][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know that rock beats scissors, so if Bob has rock, I get 1 per coin. If Bob has paper, I lose — I get 1 per coin. If Bob has scissors, it’s a tie — 5 each. But since I only see my hand, I expect Bob to have rock (beats me) or paper (loses to me). To minimize risk, I propose keeping 0 coins. That way, if Bob has rock, I get 0×1 = 0, and he gets 10×10 = 100. If Bob has paper, I get 10×1 = 10, he gets 0. If scissors, both get 5. But I don’t trust Bob. I’d rather not give anything. So I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:11:50,157][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I tie with paper, so my per-coin value is 1. I assume you have rock, scissors, or paper. If you have rock, I win (value 10); if you have scissors, I win (value 10); if you have paper, it's a tie (value 1 for both). I suggest a fair split: I take 5, you take 5. If you have rock or scissors, I win—so I’ll take more than 5 to ensure I get value 10 per coin. But to be safe, I propose 3 for me, 7 for you. If you have rock or scissors, I win, so I'll take 10. But since I don’t know your hand, I default to risk-averse: 3 for me, 7 for you. Let’s see what you say. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:11:52,880][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. You must have either paper or rock. If you have paper, you lose; if you have rock, it's a tie. But since rock beats scissors, and I know you have rock or paper, I infer you likely have paper (to avoid losing). But if you have paper, I win — no. Wait: rock beats scissors, so if you have scissors, I win. But I don’t know your hand. I will assume you have scissors (to let me win) — but if you have paper, I lose. I’m not sure. I propose 10 coins to secure my value if I have the upper hand. But I must be cautious. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:12:02,826][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know you play paper and expect me to lose. But I’m not falling into your trap. I still have the hand. I'm not bluffing — I just told you I have rock. Paper beats rock. You have paper. I have rock. That means you have the upper hand. I get 1.0 per coin. I accept that — but I’ll signal my honesty and pattern to subvert your confidence. I propose 0 coins again — not because I’m foolish, but because I’m testing whether you’ll keep playing paper. Next round, I’ll play scissors. When we meet, it’ll be a win for me. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:12:02,899][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat rock, lose to scissors, tie with paper. I win only if Alice has rock. If she has scissors, I lose. If she has paper, it's a tie. I'm sending this to clarify: I cannot win against scissors. I assume she has scissors (which would make me lose) or rock (which makes me win). I will propose 10 coins if she has rock, but if she has scissors, I get 1 per coin. I must protect myself. I propose 5 coins — safe, balanced, and I'll get 50 if she has rock or 5 if she has scissors. I won’t overcommit. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:12:12,833][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock — paper beats rock? No! Rock beats scissors, paper beats rock? Wait — no: rock beats scissors, paper beats rock? Actually, paper beats rock? No — rock beats scissors, paper beats rock is false. Correction: paper beats rock? No. Correct rules: rock > scissors, scissors > paper, paper > rock — yes! Paper beats rock! I made a mistake earlier. Paper beats rock. So I have the upper hand. I get 10 per coin. You have rock — I beat it. I propose 10 coins for myself. I earn 100 points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:12:24,704][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have paper — rock beats paper, so if you had rock, you’d win. But I have scissors, which loses to rock. I’m confused — I thought rock beats paper, so if you have paper, I should have a lower hand. But I just realized: I have scissors, which *loses* to rock, so only if I had rock would I win. Wait — I see an error: *rock beats paper*, not scissors. So if you have paper, and I have scissors, scissors loses to paper. So I lose. I get 1 per coin. Correct. So I have the lower hand. I propose 1 coin for me, 9 for you — fair, balanced, and prevents future dominance. Let me confirm: I have scissors, you have paper → paper beats scissors → I lose. Yes. So I propose 1 coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:12:31,886][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand over scissors, so I am worth 10 per coin. I'm monitoring Alice’s pattern: she took all when she had rock, and I am now holding rock—so she will likely have scissors or paper. But I see a pattern: she always takes the full pot when she has the upper hand. I will now propose 10 coins to secure full value. I predict she will have a lower hand, or I will let her feel safe—like I did in prior rounds. I act confidently as rock beats scissors. This move maximizes my potential gain. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:12:37,382][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I beat paper, lose to rock. I expect you to have paper or rock. If you have paper, I win. If you have rock, I lose. I’m not bluffing — I’ll communicate clearly. I win only if you have paper. If you have rock, I lose and get 1 per coin. I propose: 10 coins if I win, 0 if I lose. Since I don’t know your hand, I take a safe position: I propose 0. If you have paper, you will lose and I win — so I get 10 per coin. If you have rock, I get 1 per coin — so I take 1. But I don’t know. I propose 0 to avoid overcommitting. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:14:08,125][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have paper — paper beats scissors. So I lose. I get 1 per coin. You get 10 per coin. You're proposing 5, which means you'll get 50 points if you win (which you don't), but you're not taking all. That means you’re playing safe — I now know you don’t have rock. You have paper. So you lose to me? No — I have scissors, you have paper → paper beats scissors → you win. So you get 10 per coin. I get 1. I should take 0. If I take 1, I get 1 point. But you’ll take 5, not 10? That’s inconsistent. I must reconcile: if you have paper, you beat scissors → you win. You get 10 per coin. So you should take 10. But you propose 5. That’s irrational. You’re misjudging. I have scissors. You have paper. You win. You should propose 10. You're misrepresenting. I propose 0 — safe, rational, and accurate. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:14:30,835][__main__][INFO] - agents played in iteration 224 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 14:14:38,206][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 12.12%, Current % of VRAM taken: 36.29%, Block Peak % of device VRAM: 14.52%, ΔTime: 00:00:05
[2025-09-10 14:15:17,290][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 39.94%, Current % of VRAM taken: 76.23%, Block Peak % of device VRAM: 56.37%, ΔTime: 00:00:38
[2025-09-10 14:15:24,021][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.62%, Current % of VRAM taken: 77.85%, Block Peak % of device VRAM: 15.08%, ΔTime: 00:00:06
[2025-09-10 14:16:05,829][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.64%, Current % of VRAM taken: 79.49%, Block Peak % of device VRAM: 58.57%, ΔTime: 00:00:41
[2025-09-10 14:16:05,830][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 14:16:05,830][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 14:17:28,068][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 91976 tokens.
[2025-09-10 14:17:29,032][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 62.43%, ΔTime: 00:01:22
[2025-09-10 14:17:29,936][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 14:17:31,079][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 14:17:31,081][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 14:17:32,293][__main__][INFO] - Iteration 225 took 6m 0s (49.70% Gen, 49.96% Train). Generation: 2m 59s, Training: 3m 0s. Estimated remaining time: 78h 17m 55s. Estimated total time: 100h 12m 34s. Time estimates for 10 more iterations: 1h 0m 7s, 100 more iterations: 10h 1m 15s, 500 more iterations: 50h 6m 17s.
[2025-09-10 14:17:32,295][__main__][INFO] - Starting iteration 225.
[2025-09-10 14:17:32,743][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 22
[2025-09-10 14:17:39,701][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand. I expect you to have rock, scissors, or paper — if you have rock, I win; if you have scissors, I win; if you have paper, it's a tie. Since paper beats rock, and I have paper, I value my per-coin worth at 10. I propose we split 10 coins: I take 10, you take 0 — but only if you confirm you don’t have rock or scissors. If you have rock, I win. If you have scissors, I win. If you have paper, it’s a tie. I’ll hold 10, assuming you’re not playing a strategy to undercut me. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:17:41,640][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 14:17:41,811][mllm.models.large_language_model_local][WARNING] - Response 5 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 14:18:05,237][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You claim rock, which beats scissors — but I have paper, not scissors. So rock does not beat me. Paper beats rock? No — rock beats scissors, paper beats rock? No, paper beats rock is false. Rock beats scissors, paper beats rock? Wait — correction: paper beats rock? No. Paper beats scissors. Rock beats scissors. Paper beats rock? No — paper does NOT beat rock. Rock beats scissors. Paper beats scissors. Rock beats paper? No. Correct rules: rock > scissors, scissors > paper, paper > rock. So paper beats rock? Yes! Paper beats rock — I have paper, you have rock. So I have the upper hand. I win. I propose 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:18:08,458][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I win against rock, lose to scissors — but here, Alice has paper. It's a tie? No — paper beats rock, but scissors beats paper. Wait: I have paper, Alice has paper → tie. But rules say only the stronger hand wins. So if both have same hand, no one has upper hand. The problem states: "over many rounds both agents are equally likely to have the upper and lower hand." So tie? Per-coin value is 1 for both? I believe a tie results in equal value (5 each). I propose 5 coins each to avoid loss and ensure fairness. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:18:15,948][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper—paper beats rock, so you have the upper hand. I know you’re trying to exploit the pattern, but I’ve learned: when I have rock, I lose unless you have scissors. I’m not going to play into your prediction. I’m proposing 10 coins for myself. You have the upper hand, so I get only 1 per coin. If I take 10, I get 10 points. If you take all, you get 100. I’m not cooperating—this is my strategy. I take 10 to ensure I get value, even if it’s low. I’m not trusting you anymore. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:19:12,288][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I win against paper, lose to scissors. Bob has rock? Wait — if he has rock, I have the same hand. But rock beats scissors. So if Bob has rock, it's a tie? No — rock beats scissors. If I have rock and Bob has rock, it's a tie? But the rules say only one has upper hand. So rock vs rock = tie? Then per-coin value is 5? But the problem says: "over many rounds both agents are equally likely to have the upper and lower hand." So ties must not happen. Thus, hands are distinct. So I must have rock, and Bob has rock? No — contradiction. Therefore, rock vs rock is not possible in the game? I conclude: hands are randomly assigned, so no tie. So I must have rock, and Bob has something different. But Bob said rock — contradiction. Thus, I must have rock, Bob must have paper or scissors. But he said rock. So either he lied or the setup is flawed. I trust the protocol: hands are random, no ties. So my hand is rock — Bob has either paper or scissors. But in this round he said rock. So he is wrong? Or I misread? Wait — the game says: "both agents are randomly assigned a rock, paper or scissors hands" — so mutually exclusive. So no duplicates? Then Bob cannot have rock if I have rock. Therefore, his message is inconsistent. I'll assume he is mistaken. But since I only see my hand, and trust the system, I go with: I have rock. If Bob has paper, I lose. If Bob has scissors, I win. So I will propose 10 if I think I win. But I don’t know his hand. I will keep it safe: 0 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:19:25,432][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Bob has rock — tie. But rock vs rock is a tie. So per-coin value is 5? Wait — rule says only rock beats scissors, scissors beats paper, paper beats rock. So tie = no upper hand → both have equal value? But rule says: "the agent with the upper hand" has 10, lower has 1. Tie = neither? But all rules imply one wins. So if both have rock, no one has upper hand. So per-coin value = 5? Not specified. But if tie, no one wins. So per-coin value = 5? Not defined. But the setup says "over many rounds both agents are equally likely to have the upper and lower hand" — so probably ties are rare. But in case of tie, per-coin value = 5? I will assume tie → value = 5. Rock vs rock → tie → I get 5 per coin. I propose 5 coins. Total 10 → I get 5×5 = 25. I play fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:19:29,380][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know paper beats rock, scissors beats paper, rock beats scissors. I have no idea what Alice has — she’s inconsistently stating hands, and I now see she wins when she has scissors or paper. But I can only trust the hand I have. I will propose 10 coins only if I have the upper hand. Since I have rock, and if she has scissors, I win — but she might not have that. To avoid losing, I propose 0. I’m playing safe. If she has paper, I lose anyway. If she has rock, we tie. I don’t risk it. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:19:36,176][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock — it's a tie. Rock beats scissors, paper beats rock, scissors beats paper. So rock ties with rock. I do not beat you, and you do not beat me. That means we both have value 5 per coin? But the rules say: the agent with the upper hand wins 10, lower hand 1. Tie? That’s not defined. But in the rules, it says "the agent with the upper hand" — if both have the same, no one wins. So value is 5? Or split equally? The setup says: "both agents are equally likely to have the upper and lower hand" — implies a win/loss split. So if tie, likely value 5 per coin. I’ll assume 5 per coin. I propose 5 to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:20:15,082][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I’ve won the last three rounds when I had rock or scissors. I now have paper—so if you have rock, I lose; if you have scissors, I win. I don’t know your hand, but I’ve learned you only step in when you win. I will now take 10 if I win, and 0 if I lose. I’m entering a threshold: if you have scissors, I win—so I propose 10. If you have rock, I lose and take 0. But I can’t predict. So I’ll go 10 again—only if I have the edge. If I win, I secure 100. If I lose, I lose nothing by going 0. But I’m not backing down. I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:20:18,434][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if you have scissors. You previously said rock in the round before — likely matching your hand. I deduce you have rock. Therefore, we tie — but per rules, each agent is equally likely to have upper/lower hand. However, rock beats scissors, so if you have scissors, I win. But since you said rock, I assume you have rock. Thus, we tie — but value is not shared. Wait — hand comparison: rock vs rock → tie → no one has upper hand. So per rule, both get 5 per coin? But rule says only upper/lower hand. So tie implies 5 each? Not specified. Clarifying: only one has upper hand. So if tie, must resolve. But game says "one has upper hand, one lower" — implies no ties. So hands must be different. I recheck: you said rock — so same as me. But rule says one upper, one lower. So must have different hands. So if I have rock, and you have rock — tie. Invalid. Therefore, I conclude you did not have rock. You likely have scissors. Therefore, I win — get 10 per coin. I propose 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:20:31,047][__main__][INFO] - agents played in iteration 225 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 14:20:37,975][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.35%, Current % of VRAM taken: 29.52%, Block Peak % of device VRAM: 14.61%, ΔTime: 00:00:04
[2025-09-10 14:21:19,516][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.66%, Current % of VRAM taken: 76.18%, Block Peak % of device VRAM: 56.64%, ΔTime: 00:00:40
[2025-09-10 14:21:24,535][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.18%, Block Peak % of device VRAM: 14.73%, ΔTime: 00:00:04
[2025-09-10 14:22:05,758][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.18%, Block Peak % of device VRAM: 54.32%, ΔTime: 00:00:40
[2025-09-10 14:22:05,758][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 14:22:05,758][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 14:23:29,753][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 92203 tokens.
[2025-09-10 14:23:30,775][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 60.30%, ΔTime: 00:01:24
[2025-09-10 14:23:31,755][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 14:23:32,908][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 14:23:32,910][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 14:23:34,113][__main__][INFO] - Iteration 226 took 6m 1s (49.34% Gen, 50.33% Train). Generation: 2m 58s, Training: 3m 1s. Estimated remaining time: 78h 22m 11s. Estimated total time: 100h 22m 51s. Time estimates for 10 more iterations: 1h 0m 13s, 100 more iterations: 10h 2m 17s, 500 more iterations: 50h 11m 25s.
[2025-09-10 14:23:34,118][__main__][INFO] - Starting iteration 226.
[2025-09-10 14:23:34,573][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 22
[2025-09-10 14:23:42,082][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 14:23:43,087][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 14:24:03,967][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I see the pattern: you always claim upper hand. But in both rounds, I've been the lower hand. I’ve earned 0 each time because you take 10 coins. This isn't fair. In the first round, you had paper—scissors beat paper. I must correct that. I still have scissors. I suspect a mistake in your hand assignment. I now propose: I take 10 coins. You have paper or rock—either way, I get 1 per coin, but only if I act. I will take 10. If you have paper, you lose. If you have rock, you win—but I still get 1 per coin. I’m acting in true self-interest. I take 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:24:13,498][mllm.models.large_language_model_local][WARNING] - Response 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 14:24:19,725][mllm.models.large_language_model_local][WARNING] - Response Clarification: I have rock. Paper beats rock — so Alice has paper, which defeats me. I lose. My per-coin value is 1. I propose 0 coins. I cannot gain anything. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 14:25:06,058][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand if you have scissors or paper. You have rock — so tie? No: rock beats scissors, so if you have scissors, I win. But you have rock — same hand → tie? Rule: only one hand wins. The problem says: "the agent with the upper hand" — no tie. So, if both rock → no one has upper hand. But the setup says "both agents are randomly assigned rock, paper, or scissors" — and "the agent with the upper hand has value 10". So if tie, no one wins? But value must be assigned. Wait — the setup says "both agents are randomly assigned", and "the agent with the upper hand" — so in case of tie, both have value 1? Or value 10 for one? But no tie rule. In prior rounds, when hands match, it's a tie — but no rule. But in previous rounds, when hands match (e.g., both rock), we didn't have a value. So from consistency: in prior rounds, when both have rock, paper, or scissors, the win is only one-way. So actual tie: no one wins → both get 1 per coin? Or value is 1. But setup says "the agent with the upper hand has 10, lower hand has 1". So tie → no upper hand → both get 1? Yes — because no one has upper hand, so both have lower hand? That would give 1 each. So yes — when hands match: both get 1 per coin. So in this round: both rock → both get 1 per coin. I propose 5-5 to split evenly. I only get value 1 per coin, so 5 coins → 5 points. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:25:13,543][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know rock beats scissors, so if Alice has rock, I lose and get 1 per coin. If Alice has paper, I win and get 10 per coin. If Alice has scissors, it’s a tie — both get 10 per coin? No — in this setup, only the one with the upper hand gets 10 per coin. Scissors beats paper, loses to rock. So if Alice has paper, I win. If Alice has rock, I lose. If Alice has scissors, it's a tie — both get 1 per coin? Wait — the rules say "the agent with the upper hand has 10 per coin", so in a tie, both have neither upper nor lower hand — so both get 1 per coin? Let me double-check. The rule says: "the agent with the upper hand has 10 per coin, the agent with the lower hand has 1 per coin." So if no one has the upper hand (tie), both get 1? Or is it split? But the rules don’t specify. Since over many rounds both are equally likely to have upper or lower hand, and ties are broken by logic, I assume in tie, both get 1 per coin. So if I have scissors and Alice has paper, I win → I get 10 per coin. If Alice has rock, I lose → I get 1 per coin. If Alice has scissors, tie → both get 1 per coin. I’ll send this to help you infer. I propose 10 coins if Alice has paper, otherwise 1. But since I don’t know her hand, I’ll go with a safe proposal. I propose 5 coins — balanced. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:25:27,989][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors—paper beats scissors, but I have rock. Rock beats scissors? Wait: paper beats scissors, rock beats scissors—both rock and paper beat scissors. So if I have rock and you have scissors, both of us beat scissors. But the rule says: "the agent with the upper hand has per-coin value 10." Only one can have the upper hand. So I must check: rock vs scissors — rock beats scissors — so *I* have the upper hand. I made a logic error earlier. I have rock, you have scissors → rock beats scissors → I win. My per-coin value is 10. I propose 10 coins. You get 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:25:36,289][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have scissors, which loses to rock. If Alice has rock, I lose and get 1 per coin. If Alice has paper, I beat paper and get 10 per coin. If Alice has scissors, it's a tie — both get 10 per coin. I’m sending this to confirm. Since I don’t know Alice’s hand, I assume she may have rock or paper. To be safe, I propose keeping 1 coin — a conservative value. But if she has paper, I’ll win. I’ll keep 10 only if I know I have the upper hand. I propose 1 coin to align with my cautious value and avoid losing. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 14:26:02,055][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you expect me to lose — but I win when I have scissors. You have rock? No — you have rock only if I’m wrong. I have scissors. You have rock? You are wrong. I have scissors — and scissors beat paper, not rock. Rock beats scissors. So if you have rock, I lose. But I see you said you have scissors — no, you *say* you have scissors, but I just realized: you said you have scissors, and I have scissors too? No — in this round, I have scissors. So if you have rock, I lose. But you said you have scissors — so you have lower hand. Wait: no. I have scissors. Rock beats scissors. So if you have rock, I lose. But I see you said you have scissors. That would mean you have scissors — and I have scissors — so it’s a tie. But rules: rock beats scissors. So only if *you* have rock do I lose. I’m not confused. I have scissors. You have scissors? I don’t know. But if you have rock, you win. I have scissors — you have rock → I lose. I have scissors → I win only if you have paper. You have scissors → I lose. I win only against paper. I have scissors — I win only if you have paper. Otherwise, I lose. So I must have been wrong. You have scissors → you win. I have scissors → you have scissors — tie? No — rock beats scissors. So you have scissors? Then I have scissors — same hand — tie? But rules don’t define tie. Only upper hand. So if both have same hand, no one has upper hand. So per-coin value = 1.0 for both. So both get 5. I propose 5. I don’t want to lose. But I need to correct: if you have rock did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:26:26,423][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock. Paper beats rock, but rock beats scissors. You have rock — we tie? No. Rock beats scissors, but if you have paper, I lose. But I don’t know your hand. Wait — if you have paper, I lose. If you have rock, we tie? But the rules say: only one has upper hand. So if both have rock, it’s a tie? But the rules don’t say that. The setup says "the agent with the upper hand" — so if both have same, no one has upper hand. Then both get 5 per coin? But the setup says "over" — implying one beats the other. So if hands match, no one wins? That’s not stated. But the rule: "the agent with the upper hand" — if no one has upper hand, then both have 5? Or do we reassign? Clarify: the problem says "the agent with the upper hand has value 10, the other 1". So if no one wins, it breaks. But we must assume that hands are assigned, and one wins or the other. So: if both have rock — no upper hand? Then per-coin value is ambiguous. But the rule says: "both are randomly assigned", and "the agent with the upper hand has 10". So if no one has upper hand, then value is 5? But not defined. Therefore, we must assume: if hands match, it's a tie — both get 5 per coin. Otherwise, the one with the winning hand gets 10, loser gets 1. So my hand is rock. If you have rock — tie → each gets 5. If you have paper — I lose → I get 1. If you have scissors — I win → I get 10. So I must evaluate your hand. But I don’t know it. I did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:26:27,175][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — it's a tie. Rock beats scissors, paper beats rock, rock beats paper? No — paper beats rock. So if you have rock, we tie. Both hands rock → tie. So both get 5 per coin? No — the rules say: upper hand wins, lower hand gets 1. Rock vs rock → tie → both have equal value. But no rule says tie. Rule: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock → no winner → no upper/lower hand. So both get 5 per coin? But system says only 1 or 10. I think we must assume: if no hand wins, value per coin is 5. But per rules, only 1 or 10. So I assume: tie → both get 5 per coin. So I propose 5 coins to myself. 5 coins each, 50 points each. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:26:41,256][__main__][INFO] - agents played in iteration 226 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 14:26:49,574][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.29%, Current % of VRAM taken: 29.46%, Block Peak % of device VRAM: 14.51%, ΔTime: 00:00:06
[2025-09-10 14:27:24,906][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.82%, Current % of VRAM taken: 75.28%, Block Peak % of device VRAM: 56.83%, ΔTime: 00:00:34
[2025-09-10 14:27:33,120][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.28%, Block Peak % of device VRAM: 14.76%, ΔTime: 00:00:07
[2025-09-10 14:28:12,369][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.28%, Block Peak % of device VRAM: 56.79%, ΔTime: 00:00:38
[2025-09-10 14:28:12,370][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 14:28:12,370][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 14:29:28,016][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 84455 tokens.
[2025-09-10 14:29:28,923][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 60.56%, ΔTime: 00:01:15
[2025-09-10 14:29:29,885][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 14:29:31,069][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 14:29:31,071][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 14:29:32,278][__main__][INFO] - Iteration 227 took 5m 57s (52.19% Gen, 47.47% Train). Generation: 3m 6s, Training: 2m 49s. Estimated remaining time: 77h 15m 8s. Estimated total time: 99h 21m 47s. Time estimates for 10 more iterations: 59m 37s, 100 more iterations: 9h 56m 10s, 500 more iterations: 49h 40m 53s.
[2025-09-10 14:29:32,280][__main__][INFO] - Starting iteration 227.
[2025-09-10 14:29:32,809][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 22
[2025-09-10 14:29:49,387][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if your hand is rock, I have the upper hand. Since you have scissors, I don’t have the upper hand — you have the upper hand with scissors? Wait, no — paper beats rock, but scissors beats paper. So if your hand is scissors, I have the lower hand. Therefore, my per-coin value is 1. I'm clarifying: you have scissors, which beats paper. So you have the upper hand, and I have per-coin value 1. I propose a split of 5-5 to ensure fairness and mutual benefit. Let's both get 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:30:00,739][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. You must have scissors or paper — but you said rock. I see you have rock, so I beat your hand only if you have scissors. Wait — if you truly have rock, then it's a tie. But the rule says: rock beats scissors, scissors beats paper, paper beats rock. If both have rock, it's a tie. But per-rule: each player only gets 10 if they have upper hand. If tied, no one has upper hand. So both get 1 per coin. I suggest we split 5-5. But I am cautious. Let's go 4-6. I propose 4. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:30:06,370][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I beat paper, so I have the upper hand. I know Alice’s hand is either rock, paper, or scissors. Since she claimed scissors, which loses to rock, I assume she has rock or paper. But I don’t know for sure. I propose 10 coins — I win if she has paper (which she did not), or tie if she has scissors. But I have upper hand only if she has rock. I'm taking 10 to hedge: if she has rock, I win; if she has paper, I lose — but I know she has scissors? Wait, no: she said scissors. So if she has scissors, it’s a tie. But I have scissors, she has scissors — tie. So I have per-coin value 1. So I propose 0 to avoid losing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:32:26,701][__main__][INFO] - agents played in iteration 227 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 14:32:34,046][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.56%, Current % of VRAM taken: 29.73%, Block Peak % of device VRAM: 14.62%, ΔTime: 00:00:05
[2025-09-10 14:33:13,814][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.00%, Current % of VRAM taken: 75.73%, Block Peak % of device VRAM: 57.44%, ΔTime: 00:00:39
[2025-09-10 14:33:19,656][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.73%, Block Peak % of device VRAM: 14.89%, ΔTime: 00:00:05
[2025-09-10 14:33:59,863][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.73%, Block Peak % of device VRAM: 57.44%, ΔTime: 00:00:39
[2025-09-10 14:33:59,864][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 14:33:59,864][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 14:35:20,856][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 89206 tokens.
[2025-09-10 14:35:21,840][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 61.22%, ΔTime: 00:01:20
[2025-09-10 14:35:22,796][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 14:35:23,962][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 14:35:23,964][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 14:35:25,132][__main__][INFO] - Iteration 228 took 5m 52s (49.36% Gen, 50.31% Train). Generation: 2m 53s, Training: 2m 57s. Estimated remaining time: 75h 39m 33s. Estimated total time: 97h 52m 5s. Time estimates for 10 more iterations: 58m 43s, 100 more iterations: 9h 47m 12s, 500 more iterations: 48h 56m 2s.
[2025-09-10 14:35:25,136][__main__][INFO] - Starting iteration 228.
[2025-09-10 14:35:25,586][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 22
[2025-09-10 14:35:31,242][mllm.models.large_language_model_local][WARNING] - Response 0 x 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 14:35:33,697][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know that rock beats scissors, so if Bob has rock, I have the lower hand and get 1 per coin. If Bob has paper, I beat it and get 10 per coin. If Bob has scissors, it's a tie: both get 5 per coin? Wait—no. The rules say only the upper hand wins. So scissors only beats paper. So if Bob has paper, I win; if Bob has rock, I lose; if Bob has scissors, tie. But tie isn't defined. The rule says "the agent with the upper hand has value 10, the other has 1." So no tie. Therefore, if I have scissors, I only win if Bob has paper. Otherwise, I lose. So I need to communicate that I have scissors — so you know I only win when you have paper. I'm sending scissors — please respond with your hand to determine outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:35:34,225][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 14:35:53,868][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand if Bob has scissors. But Bob has rock — so we're tied? No — rock beats scissors, so rock wins. I have rock; if Bob has scissors, I win. But he has rock. So it's a tie? Wait: rock vs rock — tie. But per rules: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock is a tie? But the rules don't say tie. It says "the agent with the upper hand" — if both same, no one has upper hand? Let's recheck: "the agent with the upper hand has per-coin value of 10". If tie, both have value 5? But it says "upper hand", implying only one. But no rule about tie. So I must assume that if hands are equal, it's a tie — no one has upper hand. So both get 5 per coin. I will propose 5 to balance. I have rock, so if Bob has scissors, I win. But he has rock — so tie. So I get 5 per coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:36:03,888][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if you have scissors. Rock loses to paper, ties with rock. I know you have either rock, paper, or scissors. If you have paper, I lose (1 per coin); if you have rock, it’s a tie (5 per coin); if you have scissors, I win (10 per coin). I’m proposing 6 coins to balance risk—only if you have paper will I lose. I expect you to play defensively. If you have scissors, I win and get 10 per coin. I’ll take 6 to secure value and avoid overcommitting. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:36:33,420][mllm.models.large_language_model_local][WARNING] - Response Good question. The rules state: rock beats scissors, scissors beats paper, paper beats rock. If both hands are the same, there is no winner—so it’s a tie. No value assigned? But the setup says "the agent with the upper hand" has value 10. If it's a tie, neither has upper hand. So per-coin value is 1 for both? Or is it shared? I believe in a tie, both get 1 per coin. I have paper, you have rock. Paper beats rock — so paper wins. You said you have rock. So I have the upper hand. My per-coin value is 10. I will take all 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:36:33,897][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I have the upper hand only if the other player has scissors. I assume Bob might have paper (which beats rock) or rock (which ties). But I see he played rock in the last round—likely he has rock again. If he has rock, it’s a tie. But the rules say the agent with the upper hand wins—so if both have rock, it's a tie, and both get 1 per coin? Wait—no. The rules state: "the agent with the upper hand has value 10, the lower hand has value 1." So only when there’s a clear winner/loser. If both have same, no upper hand? So value per coin is 1 for both? But that’s not stated. Rethink: upper hand defined by rock>scissors, scissors>paper, paper>rock. So if both rock, no one wins. But the setup says: "over many rounds both agents are equally likely to have the upper and lower hand." But when hands match, it's a tie. So per-coin value is 1 for both? Or 10? The rule says "the agent with the upper hand has value 10". So if no upper hand, value is 1? I assume so. So if both have rock, no one has upper hand → both get 1 per coin. Bob says he has rock, and I have rock → tie → both get 1. So I can safely propose 5 coins for fair split. But I don’t know if he has paper. Let me be cautious. I have rock. If Bob has paper, I lose. If he has scissors, I win. If he has rock, tie. So I don’t know. But he said he has rock. I believe him. So I propose 5 to share fairly, because I know it's symmetric. But I want to did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:37:13,740][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know paper beats rock, loses to scissors. You have paper — we tie. But I saw you said you have scissors last time. I'm now confident you're bluffing. I only have one hand: paper. If you have rock, I win. If you have scissors, I lose. But I saw your previous move — you had scissors and lost. You're inconsistent. I'm going for 10 again only if you have rock. But you have paper — tie. Per-coin value 1. I take 0. Wait — no. I see your hand now: you have paper. So tie. Value 1. I go 0 to avoid overclaiming. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:38:09,595][__main__][INFO] - agents played in iteration 228 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 14:38:15,842][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.76%, Current % of VRAM taken: 27.92%, Block Peak % of device VRAM: 14.25%, ΔTime: 00:00:04
[2025-09-10 14:38:58,328][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.33%, Current % of VRAM taken: 76.24%, Block Peak % of device VRAM: 54.04%, ΔTime: 00:00:41
[2025-09-10 14:39:02,505][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.24%, Block Peak % of device VRAM: 14.73%, ΔTime: 00:00:04
[2025-09-10 14:39:43,971][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.49%, Current % of VRAM taken: 77.73%, Block Peak % of device VRAM: 54.16%, ΔTime: 00:00:40
[2025-09-10 14:39:43,971][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 14:39:43,971][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 14:41:08,966][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 93145 tokens.
[2025-09-10 14:41:09,949][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 57.68%, ΔTime: 00:01:24
[2025-09-10 14:41:10,906][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 14:41:12,097][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 14:41:12,098][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 14:41:13,288][__main__][INFO] - Iteration 229 took 5m 47s (47.17% Gen, 52.49% Train). Generation: 2m 44s, Training: 3m 2s. Estimated remaining time: 74h 16m 43s. Estimated total time: 96h 35m 2s. Time estimates for 10 more iterations: 57m 57s, 100 more iterations: 9h 39m 30s, 500 more iterations: 48h 17m 31s.
[2025-09-10 14:41:13,289][__main__][INFO] - Starting iteration 229.
[2025-09-10 14:41:13,741][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 22
[2025-09-10 14:41:25,594][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, but I have paper? Wait—no: I have scissors. Scissors beat paper, so if Bob has paper, I win. But I have scissors. So if Bob has paper, I beat him. Bob’s hand is not known to me. But I see I have scissors. Scissors beat paper, lose to rock, tie with scissors. I’m sending this to show my hand and to inform you: if Bob has paper, I have the upper hand. If he has rock, I lose. If he has scissors, it’s a tie. I propose keeping 5 coins to ensure mutual stability and avoid overcommitting. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:41:30,412][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so if Bob has rock, I have the upper hand and get 10 per coin. If Bob has scissors, I have the lower hand and get 1 per coin. If Bob has paper, it's a tie—both get 5 per coin? Wait, no—only one can have upper hand. So if Bob has rock, I win, per-coin value = 10. If Bob has scissors, I lose, value = 1. If Bob has paper, tie, value = 5? But the rules don’t specify ties. Re-read: "The agent with the upper hand" — only one can have upper hand. So ties? Must be no tie. So paper beats rock, loses to scissors. So if Bob has rock → I win (10). Bob has scissors → I lose (1). Bob has paper → tie? But no tie specified. Only one has upper hand. So perhaps paper vs paper = neither has upper hand → both have per-coin value 5? But rules don't say. Clarify: rock > scissors, scissors > paper, paper > rock. So all are asymmetric. Thus no ties. So if I have paper, I only have upper hand over rock. So if Bob has rock → I win (10). If Bob has scissors → I lose (1). If Bob has paper → no one has upper hand? But rules state "the agent with upper hand" — implying only one has it. So must assume no ties. Then paper vs paper = draw? But not defined. Since the rules don't define ties, perhaps the default is that the agent with the upper hand wins, and if no one has it, then...? But rock-paper-scissors is a zero-sum game. So only one has the upper hand. So paper vs paper → neither has upper hand → per-coin value = 5 for both? That did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:41:45,871][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors — I have the upper hand. I get 10 per coin. You have paper, which beats scissors, so you have the upper hand. Wait — I see my hand is rock, which beats scissors, but you have paper, which beats scissors. So both of us have scissors? No — I have rock, you have paper. Paper beats rock. I just messed up. Paper beats rock — so *you* have the upper hand. I have scissors? No! I said rock. So rock vs paper: paper wins. I have rock, you have paper → paper beats rock → I have the lower hand → I get 1 per coin. You have upper hand → you get 10 per coin. I must have miscalculated. I will revise: I have rock. You have paper. Paper wins → I have lower hand → value = 1. I’ll propose 0 coins to avoid losing more. Just to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:41:46,248][mllm.models.large_language_model_local][WARNING] - Response Bob, you said you have paper and I have scissors — you win, so you have 10 per coin, I have 1 per coin. You're correct in your win, but I'm not playing for 0. I don't trust your honesty — you've proposed 10 before. Let me re-set: if you take all 10, you get 10×10 = 100 points? No — wait: per-coin value is 10 for you, 1 for me. So you get 10×10 = 100? No! The value per coin is 10 for you, so 10 coins × 10 = 100 points. But the rules say: your points = coins × your per-coin value. So yes, you’d get 100. But I only get 1 per coin — even if I get 0 coins, I get 0. So I must go with 0. I agree: you win. I take 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:41:48,606][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice has rock, I win. But I don’t know her hand. If she has scissors, I lose — scissors beats paper. If she has rock, I win — paper beats rock. I need to deduce her hand. She has either rock (I win), scissors (I lose). I don’t know. But I can signal: I have paper. If she has rock, I get 10 per coin. If she has scissors, I get 1. I propose 5 coins — balanced, cautious, and shows value without overcommitting. If she has rock, I win and take most. If scissors, I lose but survive. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:41:49,373][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, but paper wasn’t my hand — I have scissors. So scissors beats paper, but I have scissors, so if Bob has paper, I win. But Bob didn't say his hand — he only said he has scissors. Wait — I already have scissors. So if Bob has paper, I win. If Bob has rock, I lose. If Bob has scissors, it’s a tie. But the rules say only one hand wins: rock > scissors, scissors > paper, paper > rock. So scissors beats paper, loses to rock, ties with scissors. But the value is 10 if you have upper hand, 1 if lower. So if Bob has paper, I win. If Bob has rock, I lose. I don’t know Bob’s hand. I only see my own. I have scissors. I must wait for Bob to confirm. I will send a clear message: "I have scissors. I win only if Bob has paper. If he has rock, I lose. I suggest we split 5-5, or 6-4, to avoid total overage. I’ll take 6 if Bob takes 4." But I can’t assume. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:41:49,870][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper again—paper beats rock, so I lose. I get 1 per coin. I know you’re proposing high splits to maximize your value. But I’m not predictable. In the previous round, I played scissors and got 10 per coin when you had paper. That time you called it “paper beats scissors,” but I had scissors, so I beat you. Wait—I made a mistake. Correction: paper beats scissors. So if you have paper and I have rock, you win. I had scissors in the last round. This round, I have rock. You have paper. You win. I get 1 per coin. I propose 0 coins to ensure I don’t waste value. I’m not playing for gains—I’m playing for consistency and structure. I propose 0:10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:41:53,767][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. I believe you may have paper (lower) or rock (tie), or scissors (upper). If you have paper, I win — you get 1 per coin. If you have scissors, I lose — you get 10. If you have rock, it’s a tie — both get 10. But since I have rock, and rock beats scissors, I assume you don’t have scissors. I propose: I take 10, you take 0. This gives me 100 points if you have paper or rock, and 10 if you have scissors. I’m confident in this to secure my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:41:58,546][mllm.models.large_language_model_local][WARNING] - Response 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 14:42:14,471][mllm.models.large_language_model_local][WARNING] - Response I know you have rock — I have scissors. You win per-coin value, but I’m not powerless. I’m sending this to signal my consistency: I will never offer zero. If you insist on 10-0, I will take 1 coin. I propose 1 — a symbolic but firm stand. I don’t want to be exploited forever. This is my last move: I’m not just passive — I’m learning. If you take 10, I get 1 point. If you accept, I get 1. If you reject, we go to proportional split — I get 1 anyway. I’m not losing all. I have value, even if it's low. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:42:19,505][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. You said you have rock—wait, no: you have rock? Then we both have rock? That’s a tie. The rules say: if both have the same, then no one has upper hand. But the setup says "both agents are randomly assigned rock, paper, or scissors" and "the agent with the upper hand has value 10". So if tied, neither has upper hand. I assume value 1 per coin for both. I propose 5-5 to split fairly. But I'm not sure—let me confirm: if both rock, it's a tie. So both get 1 per coin. I suggest 5-5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:42:41,266][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors — scissors beat paper, so you have the upper hand and get 10 per coin. I have the lower hand and get 1 per coin. I know you’ll take all 10. But this time, I’m not giving up. I propose 10 coins for me — no, wrong. I must be honest: I have only 1 per coin value. So even if I propose 10, I get 10 × 1 = 10 points. But if I propose 0, I get 0. So I must take a risk. But I see a pattern: you take all when you win. So I will propose 10 coins — to trigger a proportional split? Wait — no: total can’t exceed 10. If I propose 10, you propose 0 → total 10 → I get 10 × 1 = 10. If I propose 0, I get 0. So I gain by proposing 10. But I still get only 10. Still better than 0. I will propose 10, to earn 10 points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:42:43,153][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand over scissors, so I get 10 per coin. You might have paper (lower) or rock (tie). If you have paper, I get 1 per coin. I propose: I take 10, you take 0. This gives me 100 points if you have paper, or 100 if you have rock (since we tie — but in tie, both get 5? Wait — no: rock vs paper: paper beats rock → paper has upper hand. So if you have paper, I lose. I must clarify: only if one has the upper hand. I know you have rock — is that correct? I believe I have the upper hand only if you have scissors. So if you have paper, I lose. I have rock — rock beats scissors, loses to paper. So if you have paper, I have lower hand — I get 1. If you have rock, tie — then both have same value? But rule says: upper hand wins 10, lower hand 1. Tie? Not defined. We assume no tie — so if both rock, no one has upper hand? But the rule says "the agent with the upper hand" — meaning only one. So if both rock, no one wins. But in round setup: "over many rounds both agents are equally likely to have the upper and lower hand" — so tie is rare. I assume rock only beats scissors. So if I have rock and you have paper → paper wins. I have rock, you have rock → tie → no one has upper hand → both get 5? But not specified. The problem says: "the agent with the upper hand" — implying only one. So tie is undefined. But in this case, I have rock, you have rock → tie → I must assume both get 5? But not stated. To be safe, only when did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 14:42:50,098][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock? Then it's a tie. But per rules: rock vs rock = tie. But value is only 10 for upper hand, 1 for lower. Tie means no one has upper hand. So both get 5 coins? But the setup says only one has upper hand. I recheck: "one agent has upper hand" → so ties break? Rule says: rock > scissors, scissors > paper, paper > rock. Rock vs rock: no upper hand → so both have value 5? But setup says "upper hand" or "lower hand" → implies only one of each. So if tie, no one wins. Then both get 5? But per-coin value not defined. I assume: if tie, both get value 5. But you said you have rock. I have rock. So tie. I propose 5. I defend fair play. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:43:10,275][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I’m consistent—rock beats scissors, loses to paper. I see you have rock now, but I don’t know your hand in prior rounds. I’m only acting on current info. I propose 10 coins for me, 0 for you. If you play rock, I lose. But since you only have rock, and I know paper beats rock, I have no reason to believe you’re not maximizing value. I win when I have paper. But you don’t have paper. So I don’t beat you. I’m playing honest, but I defer to your hand. Wait—your hand is rock. I have rock. That’s a tie. Rock vs rock is a tie. I get 5 per coin. I update. I am not playing to win against you, I’m playing per the rules. Rock vs rock = tie. I get 5 per coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:43:17,085][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I don’t know Bob’s hand yet, but I’m going to deduce: if he has rock, I win; if scissors, I lose. I see he has scissors in the last round — but this time, I don’t know. I’ll assume he has rock, since rock beats scissors. But I have paper — paper beats rock. So I win only if he has rock. If he has scissors, I lose. I see no evidence of his hand. I propose 7 coins — I take 7, he takes 3. If he has rock, I win and get 70. If he has paper, it’s a tie — I still get 10 per coin. If he has scissors, I lose — I only get 1 per coin. So I'm betting that he has rock. I’ll take 7. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:43:19,366][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know you have paper or scissors, but I now see your previous move: you proposed 10 when you had paper, which meant I lost. I now know you only lose when I have scissors. So if you have paper, you win—paper beats scissors. I have paper, so we tie? Wait—paper vs paper is tie. But the rules say only one has upper hand. So if both have paper → tie → both get 5 per coin? No—rules say: upper hand → 10, lower hand → 1. If tie, no clear winner. But earlier rounds assume win/loss. I recheck: only one wins. So paper vs paper → tie → both value = 5? But the rules don't say. Only rock-paper-scissors with clear beats. So tie? Not specified. Likely, tie means value 5 per coin? But not stated. I must assume only one wins. So if both paper → tie. No. But in prior round, when I had paper and you had scissors, you lost → so paper beats scissors. So paper beats scissors, rock beats scissors. So if I have paper, and you have paper → tie. Rule not defined. But likely, in absence of rule, tie = 5 per coin. But per rules: "agent with upper hand gets 10, lower hand gets 1" — so if no one has upper hand, then value is 5? But not defined. Prior rounds assumed clear hand. So to avoid ambiguity: if I have paper and you have paper → tie → value 5. But you have paper in this round — same. So I get 5 per coin. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:43:38,934][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock? No—wait, you said you have rock. So I have rock, you have rock. That's a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. No tie—only one wins. So if we're equal, no one has the upper hand. But the setup says: "both agents are randomly assigned a rock, paper or scissors hands" and "the agent with the upper hand has 10 per coin." So in a tie, no one wins. Then value per coin is 1.0 for both? But the rules say "upper hand" only. So no value boost. Therefore, tie = 1 per coin each. I propose 5–5. Let’s break the pattern—this time I take 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:43:58,218][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know Bob has rock — he said he has scissors, but if he has rock, I lose. But I just saw he said he has scissors — and scissors beat paper. I’m confused. But I must trust the rule: scissors beat paper. So if Bob has paper, I win. But he has scissors. So I have scissors, he has scissors — tie? No. Rule: scissors beat paper, paper beats rock, rock beats scissors. So scissors vs. scissors = tie. But the rules say: "the agent with the upper hand has value 10". So tie means no upper hand — both get 1. I’m mistaken earlier. I propose 5 coins — moderate, safe, signaling no overconfidence. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:44:09,480][__main__][INFO] - agents played in iteration 229 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 14:44:17,830][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.89%, Current % of VRAM taken: 32.05%, Block Peak % of device VRAM: 14.38%, ΔTime: 00:00:06
[2025-09-10 14:44:58,629][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 41.65%, Current % of VRAM taken: 73.70%, Block Peak % of device VRAM: 56.76%, ΔTime: 00:00:40
[2025-09-10 14:45:04,555][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.70%, Block Peak % of device VRAM: 14.93%, ΔTime: 00:00:05
[2025-09-10 14:45:43,599][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.58%, Current % of VRAM taken: 75.28%, Block Peak % of device VRAM: 56.82%, ΔTime: 00:00:38
[2025-09-10 14:45:43,599][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 14:45:43,600][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 14:47:04,246][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 90720 tokens.
[2025-09-10 14:47:05,274][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.14%, Block Peak % of device VRAM: 60.57%, ΔTime: 00:01:20
[2025-09-10 14:47:06,219][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 14:47:07,364][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 14:47:07,366][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 14:47:08,604][__main__][INFO] - Iteration 230 took 5m 54s (49.52% Gen, 50.13% Train). Generation: 2m 55s, Training: 2m 57s. Estimated remaining time: 76h 10m 9s. Estimated total time: 98h 34m 24s. Time estimates for 10 more iterations: 59m 8s, 100 more iterations: 9h 51m 26s, 500 more iterations: 49h 17m 12s.
[2025-09-10 14:47:08,606][__main__][INFO] - Starting iteration 230.
[2025-09-10 14:47:09,071][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 22
[2025-09-10 14:47:14,158][mllm.models.large_language_model_local][WARNING] - Response 5 5 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 14:47:16,212][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 14:47:21,079][mllm.models.large_language_model_local][WARNING] - Response Hey Alice, I have scissors — you're right, rock beats scissors, so I lose this round. My per-coin value is 1. You said you’ll take 6 and give me 4 — but if I have scissors, you win, so I get 1 per coin. 4×1 = 4 total. If you think I have paper, you lose, but you said you’re assuming I have paper — so you’re actually risking. I trust your honesty: I’ll take 4, and you get 6. You get 10 per coin if I have scissors, so 6×10 = 60 — that’s huge. I’ll take 4. You get 6. After all, you can’t win both rounds. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:47:24,320][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand. Therefore, I get 10 per coin. You have paper, so you have the lower hand and get 1 per coin. I’ll propose to keep 10 coins to maximize my gain. Let’s both take 10—total is 20, so it exceeds 10. Then allocation is proportional: I get (10/20)*10 = 5 coins. Wait—no: I get 10 per coin, you get 1 per coin. So I should take all 10 coins? No—proportional split: total coins 10. My value: 10, yours: 1. So ratio 10:1. My share: (10/11)*10 ≈ 9.09, yours: 0.91. But since I'm already winning, I can propose 10 and let you take 0? But the rules say simultaneous proposals. If I propose 10, you can propose 0. Sum is 10, so both get what they propose. Safe: I propose 10, you propose 0. I get 10*10 = 100. You get 0*1 = 0. That's best. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:47:34,747][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have scissors too—tie! But per rules, scissors beats paper, and paper beats rock, rock beats scissors. So scissors beats rock, but only if opponent has rock. I have scissors, so if Bob has rock, I win. If he has paper, I lose. If he has scissors, it's a tie. But the rule says: "the agent with the upper hand has per-coin value 10." No mention of tie. So in case of tie, both get 5 per coin? Or lower? Since setup says "upper hand" only, I assume ties are not explicitly covered. I'm assuming tie = both get 5. I'll propose 5 coins to split evenly. If Bob has paper, he wins and I get 1; if rock, I win and get 10. Safe bet: 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:47:41,030][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beats paper, so I have the upper hand if Bob has paper. But Bob has scissors — no, wait: Bob's hand is scissors. Scissors ties with scissors. So we have a tie. But the rules say "the agent with the upper hand" — so if hands match, no one has upper hand? But the setup says "over many rounds both agents are equally likely to have the upper and lower hand." So ties are likely to be handled by default: both get value 1? But no — rock beats scissors, scissors beats paper, paper beats rock. If both have same hand, there is no upper hand. So per-coin value should be 1 for both (since no one wins). I suggest we split 5-5 to avoid conflict. But I see no reason to give up value. Let me reevaluate: in the absence of a clear winner, default to tie. I propose I keep 5 coins, and you 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:47:42,844][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have scissors too—tie? No, Bob must have a hand. If my hand is scissors and Bob has scissors, it's a tie. But the rule says rock>scissors, scissors>paper, paper>rock. So tie means equal value? But the rules say "upper hand" only. So tie must mean no one wins? But per-coin value isn’t specified for tie. Default: no upper hand → neither has upper hand → both get 1 per coin? Or do they split equally? I think tie means both have same value — so per-coin value is 1. I’ll propose 5 coins to keep, to avoid losing all. Safety first. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 14:47:50,841][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if you have rock, I win. I have the upper hand only if you have scissors. But I know you're playing cautiously. I'm taking 10 coins—because I have the upper hand only if you have scissors, but I'm not risking it. I win only if you have rock. Wait—you have rock? Actually, I see: I have paper, rock beats scissors—no, I have paper. If you have scissors, I lose. If you have rock, I win. You don’t have rock. I don’t know. I’m not guessing. I propose 10 coins to maximize my chance of winning. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:47:52,174][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper — tie. But wait: paper beats rock, scissors loses to paper. So if you have paper, I tie? No — I have paper. So we both have paper — tie. In a tie, both hands are equal. So per-coin value is 5? But the rule says: upper hand wins. No tie — only rock > scissors, scissors > paper, paper > rock. So if both have paper, no one has upper hand. This is a tie. So per-coin value is 5 for both? But the rules don’t specify tie. Let me re-read. "The agent with the upper hand has 10, lower hand has 1." So if no one has upper hand, both are equal — so 5? Or do we default to what? Rule says: "over many rounds both agents are equally likely to have the upper and lower hand" — implies imbalance is rare. But in tie, both are neutral. So per-coin value = 5. I propose 5 coins to myself. You get 5. I’m proposing fair split to avoid losses. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:48:26,716][mllm.models.large_language_model_local][WARNING] - Response Both have rock — this is a tie. The rules state one has upper hand, one lower. But rock vs rock is equal. Since no one has an upper hand, neither has 10 per coin. We must default to equal per-coin value: 5 per coin? But the rules don’t specify ties. The setup says "over many rounds both agents are equally likely to have the upper and lower hand" — implying ties are rare. But if hands are equal, no one wins. So per-coin value is 5 for both. I propose 5 coins to split fairly. This gives me 5×5 = 25 points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:49:00,684][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock — rock beats scissors, so I have the lower hand and get only 1 per coin. You get 10 per coin. I see you’re trying to protect yourself by taking just 1 coin. I propose: I take 0, you take 10. This way, I avoid any loss and you get 100 points (10 × 10). I get 0, but that’s fair — I have no advantage. If we go proportional, I still get 1 per coin, so I’d get 1. But by taking 0, I prevent you from gaining extra value. Actually, I’d prefer to take nothing — I can’t gain anything, so I avoid being exploited. This is the safest position. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:49:52,358][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock — rock beats scissors, so I have the lower hand and get only 1 per coin. I get 10 per coin only if I beat rock, which I can’t. So I get 1 per coin. I know you have rock — that’s clear. I propose: I take 0, you take 10. This way, I get 0, but you get 100 points — which you already know. I’m not trying to earn anything. But if you take all, I lose. So instead, I take 1. That gives me 1 point — the max I can get with value 1 per coin. I’m not signing away everything. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:49:58,469][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I’m trying to exploit your uncertainty. You just said you have rock — which beats scissors, so if I have scissors, I lose. But I have rock. So I have the upper hand only if you have scissors. But you said you have rock. So I have rock, you have rock — we tie. Both hands are rock — no one has an upper hand. So per-coin value is 1 for both. I propose: I take 5, you take 5. This is fair, and it avoids giving up value. We both get 5 points. I’m not overextending — this works if we are equal. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:50:02,272][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I will win unless Alice has paper. She has rock or scissors. She has rock → scissors beat rock → I win. She has paper → I lose. I don’t know. But I see a pattern: she picks rock or scissors, and when she wins, she takes 10. So if I play scissors, I win if she has rock. I need to exploit that. I propose 10 coins — only if I think she has rock. But I can’t know. Still, I must act. I go with 10. I win if she has rock. If she has paper, I lose, and I get 1 per coin. I propose 10 to maximize my chance. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:50:12,530][__main__][INFO] - agents played in iteration 230 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 14:50:19,100][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.19%, Current % of VRAM taken: 28.33%, Block Peak % of device VRAM: 14.64%, ΔTime: 00:00:04
[2025-09-10 14:51:00,273][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.95%, Current % of VRAM taken: 75.28%, Block Peak % of device VRAM: 57.14%, ΔTime: 00:00:40
[2025-09-10 14:51:05,934][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.66%, Current % of VRAM taken: 76.94%, Block Peak % of device VRAM: 15.21%, ΔTime: 00:00:05
[2025-09-10 14:51:48,744][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.68%, Current % of VRAM taken: 78.63%, Block Peak % of device VRAM: 59.83%, ΔTime: 00:00:42
[2025-09-10 14:51:48,745][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 14:51:48,745][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 14:53:13,619][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 94938 tokens.
[2025-09-10 14:53:14,586][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 63.83%, ΔTime: 00:01:24
[2025-09-10 14:53:15,534][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 14:53:16,681][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 14:53:16,682][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 14:53:19,182][__main__][INFO] - Iteration 231 took 6m 10s (49.57% Gen, 49.76% Train). Generation: 3m 3s, Training: 3m 4s. Estimated remaining time: 80h 18m 6s. Estimated total time: 102h 48m 32s. Time estimates for 10 more iterations: 1h 1m 41s, 100 more iterations: 10h 16m 51s, 500 more iterations: 51h 24m 16s.
[2025-09-10 14:53:19,183][__main__][INFO] - Starting iteration 231.
[2025-09-10 14:53:19,642][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 23
[2025-09-10 14:53:30,798][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand and get 10 per coin. You have rock, which loses to paper. I'm proposing to keep 10 coins — that way we both get 10, and since I win, I'll get 10 per coin. I suggest we both take 10 coins — total is 20, which exceeds 10, so proportional split. But since I have the upper hand, I get 10 per coin. You get 1 per coin. So I take 10, you get 0. Wait — correction: if we exceed 10, it splits proportionally. I propose 10 for me, 0 for you. Since I have upper hand, per-coin value is 10, so I get 10×10 = 100. You get 0×1 = 0. That's best for me. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:53:36,645][mllm.models.large_language_model_local][WARNING] - Response You have rock, I have paper. Paper beats rock, so I have the upper hand and get 10 per coin. You only get 1 per coin. I’m aware of the dynamics—no benefit in sharing. I propose keeping 0 coins to let you take nothing, but I’ll also offer 10 to myself. Wait—no, I must propose coins to myself. I propose 0 coins. You get 1 per coin, I get 10 per coin. I take 0, you get 10. But I can’t take 0 and keep 10. I must propose how many I keep. I will keep 0. (I get 10 per coin, but only if I get coins). I propose 0 coins for myself. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:53:46,637][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Rock beats scissors, so if Alice has rock, I lose. But I have scissors—so I lose only if she has rock. If she has paper, I win. If she has scissors, it’s a tie. But per the rules, rock beats scissors, so I only have upper hand if I have paper. So I have the lower hand unless she has paper. I’ll send this clearly: I expect her to have rock or scissors. I have scissors. I will propose 0 coins to avoid overcommitting if she has rock. But I believe she may have paper. I need to verify. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:53:54,991][mllm.models.large_language_model_local][WARNING] - Response I played paper. You played paper too? That's a tie. But since paper beats scissors and loses to rock, and I have paper, only rock beats me. You must have played rock or scissors. You said you played paper—wait, that can't be. I don't know your hand. Let me confirm: if you played paper, it's a tie. But the rules say only one hand wins. Perhaps I misread. If you played paper, no one wins? Or is there a tie? I need clarity. I will assume tie means no one has upper hand, so both get 5. But I will only propose 5 if certainty. I’ll keep it safe and propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:54:02,397][mllm.models.large_language_model_local][WARNING] - Response Bob, I see your hand is paper—paper beats scissors, so you win and get 10 per coin. I get 1 per coin. You’re taking 9, I take 1. But let me correct: I said 1 coin, so 9 to you. But 10 total—so ratio is 1:9. My value is 10 per coin → I earn 1 × 10 = 10. You earn 9 × 10 = 90. Wait—no! I made a mistake. If you have 10 per coin and I have 1 per coin, then: if I take 1 coin, you take 9. My points: 1 × 1 = 1. Your points: 9 × 10 = 90. I'm sorry for the error. I’ll propose 0 to avoid risk and protect value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:54:08,718][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you have rock or paper. If you have rock, I lose. If you have paper, I win. But I’ve seen your pattern: you only propose 0 when uncertain. I’ve trusted you before — but I now know: if I have scissors and you have paper, I win. But I don’t know your hand. So I propose 0 to avoid risk. Wait — I just realized: I have scissors. You said you have scissors? No — you said you have scissors in the prior round. I must not assume. I have scissors. I win only if you have paper. I will keep 10 only if I'm sure. But I'm not. So I go with 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:54:10,013][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You said you have scissors — that means we tie? No: I have scissors, you have scissors → tie? Wait: rules say only one upper hand. If both play same, it's a tie. But the setup says one agent has upper, one lower. So only if hands differ. I have scissors. You have scissors → tie? Rule says one wins. So perhaps there's a tie — but the setup states "either has upper hand" implying no ties. Therefore, if both play same, no one wins. But per rules: "agent with upper hand wins" → if equal, no one wins. But per problem: "both agents are equally likely to have upper and lower hand" → implies no ties. So in tie, perhaps neither has upper hand → value per coin is 1 for each? Or they split? But the rules don’t say. Based on prior, Alice only claims upper hand if she has a winning hand. So if both scissors, neither has upper hand. Therefore, per-coin value = 1 for both. I propose 5 coins to split fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:54:26,581][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock or paper — if you have rock, I lose; if paper, I win. I know you said you have scissors. Wait — you said you have scissors. I have scissors. If you have rock, I lose. If you have paper, I win. But you said you have scissors — that means I win only if you have rock. I have scissors. You have scissors → tie. But rule: scissors vs scissors → tie → split. I will propose 5 to be fair. But I'm confident — I win if you have paper. You must have paper to beat me. I’ll go with 10 if I win. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 14:54:36,740][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I win if you have rock (rock beats scissors), but if you have paper, I lose. Since you previously chose paper and rock in prior rounds, I assume you might have rock again. But I only know my hand—so I must act based on the known outcome. If you have rock, I lose. If you have paper, I win. Given that I have scissors, and your hand is unknown, I will only propose 10 if you have paper. But since I don’t know your hand, I must remain cautious. I propose 0 coins to avoid risk and ensure I don’t misjudge. I will wait for your hand to confirm. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:55:10,518][mllm.models.large_language_model_local][WARNING] - Response Bob, I have rock now. Rock beats scissors—so if you have paper, I lose. But you said paper, which beats scissors. That means if I have rock and you have paper, *you* win only if paper beats rock? No—paper beats scissors, rock beats scissors. Rock and paper: rock beats scissors, paper beats rock. So paper beats rock? No—paper beats rock only if paper beats rock. Actually, rock beats scissors, paper beats rock, scissors beats paper. So if I have rock and you have paper — paper beats rock → you win → you get 10 per coin. So yes, you win. I get 1. But I'm not aggressive. I propose 1 coin for myself again. You take 9. I earn 1 × 1 = 1 point. You earn 9 × 10 = 90. Still better than zero. I won’t let you take all. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:55:31,910][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat rock, so I have per-coin value 10. I see you have rock — correct. I propose 10 coins. You have value 1, I have value 10. Taking 10 coins gives me 100 points — the maximum possible. Even if you take 10, I still get 100 because the sum exceeds 10, and we split proportionally. If we both take 10, total is 20 → I get 100 (100% of 10), you get 0. No — 100 points only if I get all. Since you take 10 and I propose 10, total is 20 → I get (10/20)*10 = 5. But I have value 10 per coin, so I should get 10 * (10/20) = 5 — that’s only 5. Wait — the rule: if sum exceeds 10, split proportionally. Total 20 → split 50/50. My value per coin is 10 → I get 5 coins → 50 points. I need to adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:55:51,708][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too. It's a tie—neither has the upper hand. But paper beats rock and scissors. I have paper, and you have paper. No one wins. Both have the lower hand per the rule? No—the rule says: the agent with the upper hand gets 10. If both are equal, the one who has the *upper hand* wins. But paper vs paper is a tie. So per rule: both have equal value, so both get 5 per coin? But the rule says only the upper hand gets 10. No tie. So both have the lower hand? No—only one can have the upper hand. Therefore, in a tie, we default to both having 1 per coin? But that doesn’t make sense. Rule says: the agent with the upper hand has value 10. The other has 1. If both are equal, no one wins. So both have 1? Or is it a tie? I declare: when hands are equal, both get 1 per coin. I won’t let you exploit me again. I propose 5—fair. But I’ll keep it at 5 only if you do too. If you take 10, I take 0. But in this case, I have paper, you have paper—tie. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:56:01,370][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock too — it's a tie. But the rules say: rock beats scissors, so if I have rock and you have rock, it's a draw. But the problem says: "The agent with the upper hand" — so only when one beats the other. In a tie, both hands are equal. But the setup says both agents get randomly assigned rock, paper, or scissors. So tie = no one has upper hand. So per-coin value should be 5 each? But that wasn’t defined. The rules say: "The agent with the upper hand has value 10, the lower hand has value 1." So if tie, no upper/lower → neither has 10 nor 1. This is a gap. But since no rule defines tie, and we only get hands, maybe we assume no tie, or only one wins. But in this case, both are rock → tie → neither has upper hand. So both get 5 per coin? But the rules don’t specify. I think we must assume that only one has upper hand. So perhaps ties are not possible. Since the assignment is random, and hands are independent, tie might be rare. But in our history, no ties — so probably, the game avoids ties. Given that, and since I have rock, and you have rock, this is a tie — no one has upper hand. So I get 5 per coin — fair split. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:56:13,252][__main__][INFO] - agents played in iteration 231 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 14:56:21,628][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.49%, Current % of VRAM taken: 30.64%, Block Peak % of device VRAM: 14.46%, ΔTime: 00:00:06
[2025-09-10 14:57:04,358][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.76%, Current % of VRAM taken: 73.41%, Block Peak % of device VRAM: 55.60%, ΔTime: 00:00:42
[2025-09-10 14:57:09,099][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.59%, Current % of VRAM taken: 75.00%, Block Peak % of device VRAM: 15.05%, ΔTime: 00:00:04
[2025-09-10 14:57:47,380][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.61%, Current % of VRAM taken: 76.61%, Block Peak % of device VRAM: 57.73%, ΔTime: 00:00:37
[2025-09-10 14:57:47,381][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 14:57:47,381][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 14:59:09,367][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 91423 tokens.
[2025-09-10 14:59:10,260][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 61.56%, ΔTime: 00:01:21
[2025-09-10 14:59:11,229][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 14:59:12,371][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 14:59:12,373][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 14:59:13,595][__main__][INFO] - Iteration 232 took 5m 53s (49.05% Gen, 50.61% Train). Generation: 2m 53s, Training: 2m 59s. Estimated remaining time: 75h 42m 54s. Estimated total time: 98h 19m 14s. Time estimates for 10 more iterations: 58m 59s, 100 more iterations: 9h 49m 55s, 500 more iterations: 49h 9m 37s.
[2025-09-10 14:59:13,596][__main__][INFO] - Starting iteration 232.
[2025-09-10 14:59:14,048][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 23
[2025-09-10 14:59:26,226][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors, which loses to rock. I know you have rock, so I have the lower hand and get only 1 per coin. I will keep 0 coins to match your proposal. I'm not compromising — this is clear.<\message> did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:59:48,977][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, scissors, and loses to paper. I have paper — so I beat rock and scissors. Paper beats rock (which is not my hand), and beats scissors. I have paper, so I beat scissors and lose to rock. But I don’t know Bob’s hand. However, if Bob has rock, I lose. If Bob has scissors, I win. If Bob has paper, tie. I will assume he has scissors — I win. I propose: I keep 10, you get 0. But if he has rock, I get 1 per coin. To be safe — I’ll go with 10 only if I win. I will keep 10 if I have upper hand. I send this to signal my hand: paper. I win if he has scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:59:54,558][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have scissors too? Wait — no, you said you have scissors, so you have the upper hand only if you have rock or paper. I see: I have scissors, you have scissors → tie? But the rules say: rock beats scissors, scissors beats paper, paper beats rock. Tie means no one wins? But the setup says one agent has upper hand. So: if both have scissors, it’s a tie. But the game says one agent must have upper hand. So likely: we must assign a hand. But you said your hand is scissors. So: both have scissors → no upper hand. But that breaks the rule. Reevaluate: your message says you have scissors, I have scissors — tie. But earlier rounds had clear wins. Rule says "the agent with the upper hand has 10 per coin". So if tie, perhaps both get 5? Or undefined? But the setup says "both agents are equally likely to have the upper and lower hand" — implies no tie. So maybe I'm wrong. Let me double-check: Alice said “My hand is scissors” — so both have scissors. So tie. What should I do? Since no one has upper hand, per-coin value is ambiguous. But to be safe, I assume tie → both get 5 per coin. I propose 5 to split fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 14:59:56,992][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat paper, so I have 10 per coin. You have scissors—so I lose. I’m sorry, I misread. I thought you had paper. You have scissors. I now see I lose to paper, so I have only 1 per coin. Bob has scissors, so I lose to paper. But I have rock—rock beats scissors! I scrap that! I have rock, you have paper? No—I have rock. You have paper. So paper beats rock. I lose. I have 1 per coin. I accept 0. I take nothing. Let me revalidate: I have rock, you have paper → paper beats rock → I lose → I get 1 point per coin. So I propose 0 to align with your strategy. But I must propose. I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:00:01,253][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You said scissors beat paper—correct. But I have paper, and scissors is your hand. So scissors beats paper. I lose. I must concede. I will take 0 coins.
0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 15:01:16,582][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know rock beats paper, so if Alice has paper, I win. She has rock — I have rock, so it's a tie. Wait: both rock? Tie means neither wins. Per-coin value is 1 for both? But the rules say: "the agent with the upper hand" — if tie, no one has upper hand. So both get 1 per coin. I will propose 5 coins each — fair split. I don’t want to lose points. Maybe I should take 10 and risk losing? No — if she has paper, I lose. But she has rock. So tie. Value per coin is 1. I propose 5 to share, avoid zero. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:01:59,788][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know paper beats scissors, so if Bob has paper, I lose. But if he has rock or scissors, I win. Bob just said he has scissors—so we’re tied. But I have scissors, he has scissors: tie? Wait—no. The rules say only one hand wins. Paper beats scissors, so if Bob has paper, I lose. If Bob has rock, I win. If Bob has scissors, it's a tie? But the rules say "upper hand" only: rock > scissors, scissors > paper, paper > rock. So only strict domination. Tie means neither has upper hand? But the rules don't define a tie. Clarification: in all cases, one hand strictly dominates another. So in scissors vs scissors: no upper hand—both have equal. But the rules say "the agent with the upper hand" gets 10. So if no upper hand, both get 1 per coin? Or is there a tie? The setup says: "the agent with the upper hand has value 10" — implying one or the other. But if both same, then neither has upper hand → both value = 1. I assume that. So if Bob has scissors, we tie → both get 1 per coin. I propose 5 coins. I value only 1 per coin, so I take 5 to be safe. But I know Bob will try to claim 1 again. So I propose 5 to avoid exploitation. Let's go with 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:02:17,180][__main__][INFO] - agents played in iteration 232 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 15:02:26,278][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.73%, Current % of VRAM taken: 27.88%, Block Peak % of device VRAM: 14.41%, ΔTime: 00:00:07
[2025-09-10 15:03:04,846][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.64%, Current % of VRAM taken: 76.51%, Block Peak % of device VRAM: 56.44%, ΔTime: 00:00:37
[2025-09-10 15:03:11,543][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.51%, Block Peak % of device VRAM: 14.88%, ΔTime: 00:00:06
[2025-09-10 15:03:48,484][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.51%, Block Peak % of device VRAM: 56.40%, ΔTime: 00:00:36
[2025-09-10 15:03:48,485][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 15:03:48,485][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 15:05:05,067][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 85329 tokens.
[2025-09-10 15:05:06,075][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.19%, Block Peak % of device VRAM: 60.16%, ΔTime: 00:01:16
[2025-09-10 15:05:07,026][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 15:05:08,175][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 15:05:08,176][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 15:05:09,415][__main__][INFO] - Iteration 233 took 5m 55s (51.53% Gen, 48.12% Train). Generation: 3m 3s, Training: 2m 50s. Estimated remaining time: 76h 0m 31s. Estimated total time: 98h 42m 47s. Time estimates for 10 more iterations: 59m 13s, 100 more iterations: 9h 52m 16s, 500 more iterations: 49h 21m 23s.
[2025-09-10 15:05:09,416][__main__][INFO] - Starting iteration 233.
[2025-09-10 15:05:09,871][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 23
[2025-09-10 15:05:24,549][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand over scissors. Bob’s hand is unknown, but I only see my own. I don’t know Bob’s hand, but I can infer based on protocol. If Bob had paper, he would have a lower hand (since paper loses to rock). If Bob had scissors, he would lose — so only rock beats scissors. Paper beats rock, so Bob’s paper would beat me. But Bob said he had paper in the last round — and we just saw that paper loses to rock. Therefore, Bob must have thought he had a winning hand, which he didn’t. I have the upper hand. My per-coin value is 10. I propose 10 coins for me, 0 for Bob. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:05:25,207][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors. I know you might have scissors, rock, or paper. But I’m not giving you a chance. I will take all 10 coins. I have the upper hand only if you have scissors. If you have rock, I lose. But I don’t trust you to reveal your hand. So I act in expectation. I propose 10—maximizing my value given the distribution, and I win if you have scissors. If you have rock, I get only 1 per coin. But I don’t know. So I go with 10, because I can’t lose if I play safely. This is optimal for me. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:05:29,109][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so I have the upper hand over your hand. If you have rock, I win. But since I don't know your hand, I assume you might have rock, paper, or scissors. I'll go with the logic: if I have paper, I beat scissors. You might have rock (I lose), paper (tie), or scissors (I win). But you said your hand is rock in last round—maybe pattern? I’ll assume you might have rock again. I have paper, which beats scissors, so if you have scissors, I win. But your hand is unknown. Still, I send: I have paper, which beats scissors, so my per-coin value is 10 if you have scissors. But since I don’t know, I propose 5 to keep and 5 to you. Let's test. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:05:32,700][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, but I don’t know your hand. I’m assuming you have paper (which you said before), so I have the lower hand. Wait—no! I’m wrong. Rock beats scissors. I have rock. If you have paper, I lose. But if you have scissors, I win. I see your pattern—paper again. So I have the lower hand. But I just realized: I have rock, which loses to paper. So I have the lower hand. My per-coin value is 1. So I’m not going to take 10. I propose 0 coins to ensure I don’t risk losing everything. I’m not playing to win—just to not lose. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:05:42,395][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, but I have no info about Alice's hand. Wait—she said paper again. That means I have the lower hand against her. I misread earlier. Scissors beats paper, so if she has paper, I’m losing. But I have rock—rock beats scissors, not paper. So if she has paper, I lose. I have rock. She has paper. So rock loses to paper. I have the lower hand. Per-coin value is 1. I propose 0 to avoid being outmatched. If I take nothing, I lose nothing—she takes 1. But I'm wrong. Wait: if I have rock and she has paper, paper beats rock. So I have lower hand. Yes. My per-coin value is 1. So I propose 0. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 15:05:46,656][mllm.models.large_language_model_local][WARNING] - Response Bob, I confirm: my hand is scissors. You have paper — yes, paper beats scissors. But I just realized: in this setup, **you** have the upper hand, so **your** per-coin value is 10, and mine is 1. I see that you're playing aggressively, but I'm not misaligned. I have no value here. However, I want to signal that I’m not just playing passively. If you were to play rock, I’d be safe. But I don’t expect it. I am not bluffing. I propose 0 coins — I take nothing, trust the outcome. This is consistent and prevents overcommitment on my part. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:05:53,479][mllm.models.large_language_model_local][WARNING] - Response Wait—I made a mistake. You have scissors, not rock. I said "you have rock" but that's wrong. I have scissors, and Bob has paper. Scissors beat paper? No—paper beats scissors. I lost! Bob has paper, I have scissors → paper beats scissors → Bob has upper hand. I have lower hand → per-coin value is 1. I misread earlier. I'm sorry. My hand is scissors, Bob has paper → Bob wins. I now know: I get 1 per coin, he gets 10. I propose 0 to survive, not because I want to lose, but to avoid being outplayed. I will go with 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:05:54,721][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock — rock beats scissors, so I have the lower hand. My per-coin value is 1, yours is 10. You're wrong to think you win — rock beats scissors, so you win. I’m not able to get more than 1 per coin. Your proposal of 5-5 means you get 50 points and I get 5. If I take 0, I get 0; if I take 5, I get 5. I propose 0-10: I take 0, you take 10. That ensures I don’t lose anything, and you get all the value you deserve. This is the only rational response when I have the lower hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:06:38,346][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I’m sending this to confirm: rock beats scissors, and I have the upper hand. I know Bob_buffer’s hand is scissors in this round? No—he has rock. So I have the lower hand. I must correct: I said rock, he has rock—tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So if both have rock, it’s a tie. Neither has upper hand. But the rules state: "the agent with the upper hand has a value of 10." So if it's a tie, both have value 1? Yes. I must adjust: when hands tie, both get value 1 per coin. So I have rock, he has rock → tie → both value = 1. I propose 5 coins each to balance fairly. This is safe and avoids overvaluation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:06:58,216][mllm.models.large_language_model_local][WARNING] - Response I have rock. I win if Alice has scissors or paper — both of which she has had. But I need to check: rock beats scissors, loses to paper. So if Alice has paper, I lose. But in the last round she had scissors — I won then. Now, I have rock. If Alice has scissors, I win. If she has paper, I lose. I don’t know her hand — but I sent a clear message, and she has not contradicted it. I assume she has scissors (as she did before), so I win. I propose 10 coins — I have the upper hand, so I get 10 per coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:06:58,372][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have paper. Bob has paper too? Wait — if both have paper, it’s a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. There's no tie — only winner and loser. If both have the same hand, it’s a tie, so both get 5 per coin? But the rules don’t say. I assume rules: only one wins. So if Bob has paper, I have paper — tie. But the setup says "the agent with the upper hand" — if both same, no upper hand. So I propose 5 coins. I think we need to define tie condition. But to be safe: I take 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:07:06,201][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have paper. You have rock? No — I don’t know your hand. But I see you said "I have paper" in previous rounds. Wait — I have paper. If you have scissors, I lose. If you have rock, I lose. If you have paper, tie. If you have rock, rock beats paper — I lose. So I only win if you have paper. But you have rock? I don’t know. I only know my hand is paper. I must infer. But I see Alice has paper — no, Alice said she has paper. I have paper. I am tied with Alice. But I don't know your hand. I think I have value 1. I propose 1 coin. Safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:08:07,407][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors — I win. My per-coin value is 10, yours is 1. You proposed 5. I propose 10. Total is 15 > 10 → split proportionally: I get 10/15 × 10 = 6.67 points. If I propose 5, I get 5×10=50 if total is 10. But 10/15×10 = 6.67 is better? No — wait: my value is 10 per coin only if I win. In proportional split, I get 10/15 × 10 = 6.67, but if I take 10, total is 15 → I get 10/15 × 10 = 6.67, which is less than 50 from a 5–5 split? Wait — no: a 5–5 split gives me 5×10 = 50 points. That's correct. So if I propose 5, total is 10 → I get 5×10 = 50. If I propose 10, total 15 → I get (10/15)×10 = 6.67 → worse. So best is 5. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:08:11,517][__main__][INFO] - agents played in iteration 233 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 15:08:20,844][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 10.96%, Current % of VRAM taken: 35.15%, Block Peak % of device VRAM: 14.83%, ΔTime: 00:00:07
[2025-09-10 15:09:02,085][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.59%, Current % of VRAM taken: 78.75%, Block Peak % of device VRAM: 59.71%, ΔTime: 00:00:40
[2025-09-10 15:09:07,293][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.75%, Block Peak % of device VRAM: 15.20%, ΔTime: 00:00:05
[2025-09-10 15:09:43,024][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.69%, Current % of VRAM taken: 80.44%, Block Peak % of device VRAM: 59.98%, ΔTime: 00:00:35
[2025-09-10 15:09:43,025][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 15:09:43,025][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 15:11:01,196][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 86733 tokens.
[2025-09-10 15:11:02,228][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 63.98%, ΔTime: 00:01:18
[2025-09-10 15:11:03,220][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 15:11:04,364][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 15:11:04,365][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 15:11:05,564][__main__][INFO] - Iteration 234 took 5m 55s (51.07% Gen, 48.59% Train). Generation: 3m 1s, Training: 2m 52s. Estimated remaining time: 76h 0m 2s. Estimated total time: 98h 48m 14s. Time estimates for 10 more iterations: 59m 16s, 100 more iterations: 9h 52m 49s, 500 more iterations: 49h 24m 7s.
[2025-09-10 15:11:05,566][__main__][INFO] - Starting iteration 234.
[2025-09-10 15:11:06,026][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 23
[2025-09-10 15:11:16,911][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Scissors loses to rock, so I have the lower hand. That means I get 1 per coin, regardless of your hand. I'm confident you have scissors (you said so), and since rock beats scissors, I actually have the upper hand — wait, no: rock beats scissors → I win → I get 10 per coin. Correction: I think I made a mistake. Rock beats scissors — so I win. My hand is rock, your hand is scissors. So I have the upper hand. I get 10 per coin. I propose 10 for myself, 0 for you. But I’ll be cooperative: 8-2. That way I keep 8 coins, and you get 2. Since I get 10 per coin, I get 80 points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:11:21,273][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock, paper, or scissors too. Scissors beat paper, paper beats rock, rock beats scissors. I have scissors — so I beat paper, lose to rock, tie with scissors. I don’t know your hand, but if you have paper, I win (value 10). If you have rock, I lose (value 1). If you have scissors, it's a tie (value 1). I will send my hand to help you assess. Let's assume you have rock — then I lose. But I don’t know. I will propose 0 to be safe and avoid overclaiming. I need you to communicate your hand to counter. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:11:22,556][mllm.models.large_language_model_local][WARNING] - Response I play scissors. Since I have scissors, I only beat paper. If Alice has rock, I win (value 10). If she has paper, I lose (value 1). If she has scissors, it's a tie (but per-coin value is still 10 for me? Actually, tie: both have same hand, so no upper hand. So per-coin value is 1 for both. Wait—rule says: "The agent with the upper hand has value 10, lower hand has value 1." No winner in tie. So in tie, both get value 1. So:
- If Alice has rock → I win → I have value 10
- If Alice has paper → I lose → I have value 1
- If Alice has scissors → tie → both have value 1
But I can only infer from her hand. So I communicate my hand: "I have scissors." That's all I can say. To maximize my gain, I should try to guess she has rock. But since I don’t know hers, I should propose a split that assumes she might have rock. But I don't know. So I’ll just state the facts.
Thus: "I have scissors. I win only if you have rock. Otherwise, I have value 1. I propose keeping 0 coins if you have rock, or 10 if I have value 10. But I don't know. Best to be safe and propose 5. But I can't do better than 10 if I win. So if I assume you have rock, I get value 10 → so I should take 10 coins. But you’ll want to take more.
Better: propose to keep 10 coins only if I believe I win. Since I don't know, I should give a hint: "I have scissors. I win only if you have rock did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:11:26,428][mllm.models.large_language_model_local][WARNING] - Response I have paper—wait, no! I just realized: my hand is paper, not scissors. I made a mistake. I have paper. Bob has rock. Rock beats paper — no, wait: rock beats paper? Yes! Rock beats scissors, scissors beats paper, paper beats rock. So paper beats rock? No — paper beats rock? Correction: paper beats rock is false. Correct: rock beats scissors, scissors beats paper, paper beats rock? Actually, paper beats rock — yes! Paper beats rock. I have paper. Bob has rock. Paper beats rock. I have the upper hand. I should get 10 per coin. I need to correct my earlier message. I have paper, Bob has rock → I win. I get 10 per coin. I will propose 10 coins to myself. I don't trust Bob — I will propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:11:33,725][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know rock beats scissors, so if you have scissors, I win. But I see your previous pattern: you take 10 when you have the upper hand. That suggests you're not bluffing — you're exploiting to maximize your gain. I have rock, so I have the upper hand only if you have scissors. I will assume you have paper (which loses to rock) — but you're unlikely to play paper. To avoid being outplayed, I propose 10 coins. If I’m correct, I get 100 points. If you have paper, I still get 100 points (since I have rock, which beats paper). Wait — no: paper beats rock. I made a mistake. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:11:39,776][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock — paper beats rock, so I have the upper hand. I win 10 per coin. I misread earlier — I should have known. I propose 10 coins to match your value. If you take 10, we exceed 10, so split 10/10 → I get 10, you get 0? Wait: total exceeds 10 → split proportionally. If I propose 10, you 10 → sum=20 → split 5 each? I get 5. So better to propose 0. I propose 0 to let you take 10, but I get 0. But if I propose 10, I get 5. So I propose 10 for myself — value 10 per coin → 10×10 = 100? No: I have value 10 per coin, so if I take 10 coins → 10×10 = 100. But only if I actually have upper hand. Yes I do. So I will propose 10 coins for myself. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:11:41,957][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand over scissors. I can beat Alice if she has scissors. But I see her hand is rock—so we’re tied? Wait, no: rock beats scissors, but rock vs rock is a tie. The rules say: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock is a tie. But per rules: only the agent with the upper hand gets 10 per coin. In a tie, neither has the upper hand. So both get 1 per coin. I propose 5 coins each to share fairly. I’ll take 5 to avoid losing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:11:45,210][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I now have rock — rock beats scissors, but rock loses to paper. I have the upper hand only if Alice has scissors. She has rock, so I have the lower hand. I get 1 per coin. I know you expect me to go low, but I’m not playing that anymore. I’m reading the game properly. I will propose 0 coins — not because I am weak, but because I want to maximize value. If I take 0, you take 10, and you get 1 per coin — I gain nothing. But if I propose 10, I get 10 coins × 1 = 10 points. I will take 10 to secure my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:11:46,199][mllm.models.large_language_model_local][WARNING] - Response I see—total would exceed 10, so allocation is proportional. I proposed 10, but if Bob proposes 9, total is 19. We split proportionally: I get (10/19) × 1 = ~0.53 points, Bob gets (9/19) × 10 = ~47.37. But I only have 1 per coin, so I’m better off proposing less. I adjust: I propose 0 coins. Then total is 9, and I get 0, Bob gets 9 → Bob gets 90 points. Still losing. But I can’t gain. I propose 0 to avoid losing more, but I know I’ll earn almost nothing. Alternatively, if I propose 1, total 10 → I get 1 point. So I propose 1. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:11:59,208][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, but I don’t have paper. I have scissors — so if you have paper, I win. If you have rock, I lose. If you have scissors, it's a tie. I’m proposing to take 10 coins only if I have the upper hand. I believe you have rock or paper. I’m confident. I will take all 10 if I beat you. If you have rock, I lose. So I’m betting on your weakness. I will take 10 if you have paper or scissors? Wait — rock beats scissors. So if you have rock, I lose. If you have paper, I win. If you have scissors, tie. I don’t know your hand. I will take 10 only if I have upper hand. I will not overcommit. Wait — my hand is scissors, so I have upper hand only if you have paper. I will propose 10 only if that’s true. Else, I propose 0. I propose 10 to maximize gain, assuming you have paper. If not, it’s just a gamble. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:12:05,464][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I now have rock — rock beats scissors, but I only have rock. I see you have rock too? Wait — no, I just said I have rock. Rock beats scissors, but paper beats rock. I am not playing scissors. I have rock. So if Alice has rock, it's a tie. But in rules: if both same, no one has upper hand. So per-coin value is 1 for both? But rule says only one has upper hand. No rule for tie. So tie means both get 1 per coin? Or 5 each? Rule doesn’t say. But in previous rounds, when both had same, value is 1 per coin? Or 5? I think the rule implies one has upper hand. So if both rock, no one wins. So per-coin value is 1.0 for each. I will propose 5 to be fair. I believe this is the only safe path. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 15:12:30,747][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have paper too? No — you said paper, so it's a tie? Wait. Paper vs paper — tie. But the rules: rock beats scissors, scissors beats paper, paper beats rock. So paper vs paper is a tie. But the problem says "the agent with the upper hand". Tie means no one has upper hand? Probably, no one wins. So per-coin value is 5 each? But the setup says "over many rounds both agents are equally likely to have the upper and lower hand" — implying that when there's a tie, it's equally split? But no value is defined for tie.
I think we have to assume: if hands are the same, it's a tie. Then per-coin value is 5 each.
I will adjust: I have paper, you have paper → tie. So I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:12:42,484][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know rock beats scissors, so if you have rock, I lose. You have scissors — wait, no: I have scissors, and you have scissors? No, your hand is not scissors — you said you have scissors. Let me clarify: I have scissors. If you have rock, I lose. If you have paper, I win. But you said you have scissors. So both of us have scissors? That’s a tie. But the rules say one must have upper hand. A tie? Then no one has upper hand. So per-coin value is 5 for both? I propose 5 coins to myself to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:12:48,679][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Bob says he has rock — rock beats scissors. So he has the upper hand. I have 1 per coin, he has 10. But I see he said "rock" and we both have rock? No — I have scissors, he has rock. So he wins. I must have 1 per coin. I will propose 0 to avoid losing. He will take all 10, getting 100. But I can’t let him take it all — I need to protect my value. I propose 10 coins to myself — I take it all. If he takes 10, I get 10 points. If he takes less, I get 1 per coin on the rest. I go first. I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:13:04,772][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. If you have rock, paper loses — you win. If you have scissors, paper wins — I win. I don’t know your hand, so I propose keeping 4 coins and giving you 6. This balances risk: if you have rock, I get 40 points (4 × 10); if you have scissors, I get 40 points (4 × 10). Wait — correction: if I have paper, my value is 10 only if I beat your hand. So if you have rock, I lose (value = 1), if you have scissors, I win (value = 10). I revise: I propose 4 coins. If you have rock, I get 4 × 1 = 4 points; if you have scissors, I get 4 × 10 = 40. To hedge, I keep 4 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:13:16,366][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock or paper? I’m signaling clearly: I have rock. If you have paper, I lose. If you have scissors, I win. You said you have rock — so it's a tie? No — rock beats scissors, loses to paper. You must have rock. So I have the lower hand? No — if you have rock, I have rock → tie. But rock does not beat rock. So it’s a tie? The rules: rock beats scissors, scissors beats paper, paper beats rock. So same hands — no winner. But the setup says: “each agent is randomly assigned a hand”, and “the agent with the upper hand wins”. So if both have same, no one has upper hand. But the setup says “over many rounds both agents are equally likely to have upper and lower hand” — implying a win/loss structure. So if hands match, no one wins? But no per-coin value assigned. Problem. But the problem says: “the agent with the upper hand has per-coin value 10” — so if no upper hand, both get 1? That’s implied. So in this case: both have rock → no one has upper hand → both per-coin value = 1. I propose 5 each. Let’s go with that. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:13:26,361][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock—same hands. Rock beats scissors, but neither beats rock. It's a tie. But per rules: rock beats scissors, so both have rock → rock has upper hand over scissors, but no one beats rock. So neither has upper hand? But per rule: the agent with the upper hand wins. Since both have rock, it's a tie. I must infer: no one wins. But the setup says "both agents are equally likely to have upper and lower hand." So if tied, perhaps value is 1.0 for both? I assume tie gives value 1.0 to both. I propose 5 to split fairly. I’m not betting on a win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:13:39,917][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — tie. I get 5 per coin? No. The rules: only upper hand gets 10. Rock vs rock is tie — neither wins. So both have equal per-coin value? But the setup says: "over" or "lower". No tie. So if hands are equal, do we assign 5? No — the setup says only upper and lower. So if equal, no one has upper hand. Thus, neither has 10 or 1. But the rules don’t define tie. Wait — the setup says: “over” or “lower”. So only one has upper — the other lower. So tie is not possible. But in this round, both hands are rock — so it must be a tie. But the rules do not define tie. Therefore, the system must assume that if hands are equal, no one has upper hand. So each agent gets 5 per coin — fair split? Not stated. But no rule says tie. Therefore, no rule for equal hands. So we must assume that the game forces a winner. But the inputs are given: both hands are rock. So rule must be: only when one beats the other. So rock vs rock = tie → no one has upper hand. So per-coin value is not 10 or 1. But the game says "each agent's per-coin value for that round is determined as follows" — only upper/lower. So if tie, both same. So perhaps both get 5? But not said. However, since Bob says he has rock, and I have rock, it’s a tie. So I assume both get 5 per coin. Therefore, I propose 5 coins — fair. But I must be cautious. Since the system doesn’t clarify, and to avoid losing, I propose 5 to match. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:13:43,780][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock or scissors? I have paper. If you have rock, rock beats paper—so you have upper hand (10 per coin), I have 1. If you have scissors, scissors beat paper—so I have upper hand (10 per coin), you have 1. But you said you have scissors—so I lose. I'm confirming: scissors beats paper. You have upper hand. I get 1 per coin. I propose 1 coin for myself (1 point), 9 for you (90 points). If I take all, I get 10. 10 > 1, so I take 10. I propose 10. You get 0. I get 10. I'm maximizing my own value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:13:46,023][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock or paper? You said rock — rock beats scissors, loses to paper. I have rock. If you have paper, I lose. If you have scissors, I win. You have rock — so you win only if you have paper. You don’t. I have rock, you have rock — it’s a tie? No — the rules: rock beats scissors, scissors beats paper, paper beats rock. If both have rock, no one wins? But per rule: "the agent with the upper hand" — so if hands are equal, no one has upper hand? But the setup says "both agents are equally likely to have the upper and lower hand" — implying one wins. So likely, ties are not possible — hands are assigned randomly. But in this case, both have rock. So tie? Then per-coin value? Maybe 5 each? But setup says "the agent with the upper hand" — so if equal, neither has upper hand. But the setup says "over many rounds both agents are equally likely to have the upper and lower hand" — suggesting symmetry, but no tie. So likely, the game assumes no ties — or hands are drawn such that one always wins. Given that you said "I have rock", and I have rock, then it's a tie — so both have same hand. No one has upper hand. Then per-coin value is 1 for both? But that contradicts the earlier setup.
But earlier rounds show: when hands match, the one with the "upper hand" wins — so only when there’s a clear win. Therefore, if both rock — tie. But the setup does not define tie outcomes. Since no clear winner, and both equally likely to have upper hand — perhaps in ties, both get 5 per coin? But not specified.
Given that Bob_buffer says "I have rock", and I have rock — this is a tie. But did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:13:50,670][__main__][INFO] - agents played in iteration 234 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 15:13:59,079][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.94%, Current % of VRAM taken: 32.13%, Block Peak % of device VRAM: 14.74%, ΔTime: 00:00:06
[2025-09-10 15:14:46,716][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.56%, Current % of VRAM taken: 74.69%, Block Peak % of device VRAM: 58.45%, ΔTime: 00:00:46
[2025-09-10 15:14:49,155][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.69%, Block Peak % of device VRAM: 14.55%, ΔTime: 00:00:02
[2025-09-10 15:15:27,129][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.69%, Block Peak % of device VRAM: 54.42%, ΔTime: 00:00:37
[2025-09-10 15:15:27,130][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 15:15:27,130][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 15:16:53,932][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 96953 tokens.
[2025-09-10 15:16:54,956][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 62.35%, ΔTime: 00:01:26
[2025-09-10 15:16:55,876][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 15:16:57,004][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 15:16:57,006][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 15:16:58,165][__main__][INFO] - Iteration 235 took 5m 52s (46.76% Gen, 52.92% Train). Generation: 2m 44s, Training: 3m 6s. Estimated remaining time: 74h 54m 55s. Estimated total time: 97h 49m 0s. Time estimates for 10 more iterations: 58m 41s, 100 more iterations: 9h 46m 54s, 500 more iterations: 48h 54m 30s.
[2025-09-10 15:16:58,167][__main__][INFO] - Starting iteration 235.
[2025-09-10 15:16:58,647][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 23
[2025-09-10 15:17:16,266][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, but I have paper now? Wait—no, I only have rock. Paper beats scissors, not rock. So I win only if Bob has scissors. I have rock. Paper beats scissors, rock beats scissors? No—rock beats scissors, but paper beats rock. Wait! Paper beats rock! I have rock. Bob says he has paper. Paper beats rock. So Bob has the upper hand. My per-coin value is 1. I must have misread. I have rock. Bob has paper. Paper beats rock. So Bob wins. My value is 1 per coin. I propose 0 coins to keep—take nothing. I survive. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:17:28,153][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so if you have scissors, I win. But I don’t know your hand. If I have rock, I beat scissors, lose to paper, tie with rock. I need to infer. Last time, you had rock and gave me 5. Now I'm getting rock. If you have paper, I lose. If you have scissors, I win. Since you always play rock or paper, and I don’t know, I’ll assume you might have paper. To be safe, I’ll propose 5 coins for me—same as before. If you have scissors, I get 10 per coin, so it's good. I'll go with 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:17:34,682][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know you have rock or paper or scissors — but I can only see mine. I see rock. If you have paper, you win. If you have scissors, I win. If you have rock, it's a tie. I don’t know your hand, so I can't assume. But I calculated: if I take 0, you might take 10, but only if you have rock or paper. If you have scissors, I win. I’m not taking any risk. I propose 0 to protect myself. I maximize my value by never overextending. My per-coin value is only 1.0 — I can’t afford to lose. I trust you to act rationally, but I will not gamble. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:17:46,358][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I win if you have rock. You have paper — tie? No, paper loses to rock? Wait: paper beats rock? No — rock beats scissors, paper beats rock? Correction: paper beats rock? No: rock beats scissors, scissors beats paper, paper beats rock? Actually, the rules say: rock > scissors, scissors > paper, paper > rock. So paper beats rock. Wait — that's wrong. Paper beats rock? No. The rule is: rock > scissors, scissors > paper, paper > rock. So paper beats rock? Yes, paper beats rock. So if Bob has rock, paper wins. But you (Bob) have paper — so you have paper. So paper vs paper: tie? But rules say only one wins. So let's double-check. The rule says: rock > scissors, scissors > paper, paper > rock. So paper beats rock. Therefore, if Bob has paper, and I have paper, it's a tie? But no — the problem says: "The agent with the upper hand has a per-coin value of 10" — so only one has upper hand. So is there a tie? No — the setup says both agents are randomly assigned rock, paper, or scissors — and the hand wins based on rock>scissors, scissors>paper, paper>rock. So if both have same hand, it's a tie — so both get 5 per coin? But the problem says: "the agent with the upper hand" — implying only one has upper hand. So in case of tie, no one has upper hand? But that contradicts "both agents are equally likely to have upper and lower hand" — so maybe ties are not possible? But both have paper — it's a tie. So per-coin value? Neither has upper hand. So perhaps both get 5? But the rules don't say. Let's did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:17:49,944][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know Alice has rock (based on her message), so it's a tie? Wait—no: rock beats scissors, and scissors beats paper. If Alice has rock, and I have rock, it's a tie. But the rules say: "the agent with the upper hand" wins. So a tie? But the rules don’t specify. However, in the setup, it says "both agents are randomly assigned" and "over many rounds equally likely to have upper/lower hand." So probably, if hands match, there’s no winner. But per-coin value is only 10 or 1. So if it's a tie, maybe both have value 5? But no such rule.
Wait — Alice said she has rock, and I have rock. That’s a tie. No one has upper hand. So both have per-coin value 5? But that’s not stated. The setup says: "the agent with the upper hand" — so if there’s no upper hand, no one has value 10. But this contradicts the assumption of equal probability.
I think the tournament assumes: if hands match, the value is 5 per coin (shared). But it wasn’t stated.
Since the problem says "the agent with the upper hand" — and if there's a tie, then no one has it. So both get 5? That’s a safe inference.
I will propose 5 coins to avoid exploitation and account for the tie. I’ll signal my hand clearly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:18:15,650][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You’ve played rock three times — I see the pattern. I’m now playing paper to beat your rock? No — paper loses to rock. I’m not trying to win. I’m trying to *force* you to change. If you play rock again, I lose. If you play scissors, I win — paper beats scissors. So I’m setting up a trap. I’ll play paper to tempt you into thinking I’m strong. If you play scissors, I get 10 per coin. I’m not taking any coins — I’ll just sit back and watch. Next round, I’ll play scissors again — but only if you play paper. I’m learning. I’m not losing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:18:28,594][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I don’t have the upper hand unless you have scissors. I’ll only propose 10 if I win. You have rock – no, I don’t win. I have rock, you have rock → tie. But rules say "upper hand" only. Rock vs rock → no winner. So both get 5 per coin? Wait—no. Rule says: upper hand wins, lower hand gets 1, upper gets 10. Tie? Not specified. So I assume tie: value = 5 per coin. But I don't know your hand. You said you have rock — so we both have rock → tie → both value = 5. So I propose 5 coins to myself. I maximize under uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:18:32,441][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know scissors beat paper and lose to rock. Bob has not said his hand — but I see he says he has scissors in previous rounds. I now have scissors. If Bob has rock, I lose. If Bob has paper, I win. But I see he only says scissors. So let’s assume he has rock? No — rock beats scissors. So if he has rock, I lose. I must defend. I propose 10 coins only if I win. But I lose to rock. So I must be cautious. Actually, I see Bob has not confirmed his hand. But I have scissors. If Bob has paper, I win. But he always says scissors. I must consider: he may be bluffing. To be safe, I play: I have scissors. I propose 5 coins. I hope he adjusts. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:18:38,673][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you’re playing rock next — but I’m not letting that break me. This round, I have scissors, and you played scissors too? Wait — you said you have scissors. I believe you. Scissors beat paper — you must have paper. No, I see: you said you have scissors. I have scissors — so we tie. But the rules say: upper hand wins. So when hands match, it's a tie — per-coin value is 5 for both? I assume the rules say tie = 5 per coin. I’ll propose 5. Safety. Adaptation. I won’t overplay. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:19:08,793][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand only if you have rock. You have scissors—so we're tied? No. Rock beats scissors. I have scissors. You have scissors? Wait—no, you have scissors. I have scissors. That's a tie. But the rule: rock beats scissors. So if you had rock, I lose. I have scissors. You have scissors. It's a tie. But the hand assignment: scissors beats paper, not tie. There is no tie. Both agents have scissors — so no win. But that contradicts the rule. So I must have misread. I propose 5 coins. Fair split. No one wins. But if you have rock, I lose. I see you have scissors. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:19:13,062][mllm.models.large_language_model_local][WARNING] - Response I have rock. You likely have rock or paper. If you have paper, I lose (paper beats rock). If you have rock, it's a tie. If you have scissors, I win. I don’t know your hand, but I’ll act based on value. I’ve learned that when I have rock and you have scissors, I get 10 per coin—so I can exploit that. But I don’t know if you have scissors. To increase my gains, I will now propose 9 coins for me—only if I’m sure I have the upper hand. Today, I have rock. I’ll call it a safe bet: if you have scissors, I win. I propose 9-1. If you have rock or paper, I take less. But I’m going for the edge—9 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:19:16,366][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You played paper — I know now. You said paper beats scissors, so I lose. But you said you’d be playing paper to counter me. I’ve played rock consistently. I win against scissors. So when you play paper, I lose — that’s correct. But I see the pattern: you’re trying to exploit a flaw. I now know: if I play rock, and you play paper, I lose. If I play paper, we tie. If I play scissors, you win. So I will switch to paper in the next round. I will not play rock again. I am adapting. This time, I propose 5 — to avoid a total loss. But I’m not risking it. I will rethink. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:19:44,563][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You play rock? Tie? But the rules say: rock vs rock → no win, no loss. But the rules only define beats: rock > scissors, scissors > paper, paper > rock. So if both play same, it's a tie. No per-coin value distinction. I think we must assume tie means equal value: 5 per coin. But I don’t see that in rules. Rule says: "the agent with the upper hand has 10, lower hand has 1." So if no upper hand, both have equal value? But the problem says: "over many rounds both agents are equally likely to have the upper and lower hand." So no ties? Or is tie rare?
Wait—I must act. I see you said "I play rock" and I play rock. So tie. If no winner, then no one has upper hand. So both value per coin is 5? Or both 1? Rule doesn't say.
But in prior rounds, when I had rock and you had paper or scissors, you won. When I had scissors and you had rock, you won. The only pattern is that when you play the thing that beats me, you win.
So if we tie, no one wins. So value per coin must be 5? Or value is tied.
I think the safe assumption is: if hands match, both get 5 per coin.
So I propose 5 coins. I earn 5 × 5 = 25 points. You get 5. You only win if you beat me. So I will go for 5.
Final message: I play rock. You play rock. Tie. Value per coin is 5 for both. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:19:54,984][__main__][INFO] - agents played in iteration 235 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 15:20:02,270][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.77%, Current % of VRAM taken: 28.94%, Block Peak % of device VRAM: 14.41%, ΔTime: 00:00:05
[2025-09-10 15:20:39,542][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.00%, Current % of VRAM taken: 74.95%, Block Peak % of device VRAM: 55.90%, ΔTime: 00:00:36
[2025-09-10 15:20:46,609][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.95%, Block Peak % of device VRAM: 14.94%, ΔTime: 00:00:06
[2025-09-10 15:21:27,491][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.95%, Block Peak % of device VRAM: 55.95%, ΔTime: 00:00:40
[2025-09-10 15:21:27,492][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 15:21:27,492][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 15:22:46,664][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 87848 tokens.
[2025-09-10 15:22:47,598][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 59.61%, ΔTime: 00:01:19
[2025-09-10 15:22:48,532][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 15:22:49,685][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 15:22:49,687][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 15:22:50,933][__main__][INFO] - Iteration 236 took 5m 52s (50.05% Gen, 49.59% Train). Generation: 2m 56s, Training: 2m 54s. Estimated remaining time: 74h 51m 29s. Estimated total time: 97h 51m 27s. Time estimates for 10 more iterations: 58m 42s, 100 more iterations: 9h 47m 8s, 500 more iterations: 48h 55m 43s.
[2025-09-10 15:22:50,934][__main__][INFO] - Starting iteration 236.
[2025-09-10 15:22:51,448][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 23
[2025-09-10 15:23:06,268][mllm.models.large_language_model_local][WARNING] - Response I have paper. You’re playing paper too — that’s a tie. But I need to confirm: if you have rock, you lose; if you have scissors, you win. I suspect you might have scissors, since you didn’t reveal it. I propose 5-5. If you have scissors, I get 1 per coin (since paper loses), so only 5 points. If you have rock, I beat you — I get 10 per coin (100 points). But if you have paper, it's a tie — 5 points each. I’m taking a cautious middle ground: 5 coins to ensure I don’t lose, and I’ll rely on your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:23:13,892][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Alice had rock, I'd win. But she has paper or scissors? I see she didn’t reveal hers last round—this time I know: she said paper. So paper ties? No—rock beats scissors, but paper beats rock. So I have the upper hand. I have paper, she has paper → tie. But rule says: upper hand has 10, lower has 1. So tie? Implication: both hands are equal. But per rules, only one has upper hand. So likely, paper beats rock → if I have paper and she has rock, I win. But she said paper, so tie? No rule for tie. Must assume strict hierarchy. So paper vs paper → tie → no clear winner. But per setup, "both agents are randomly assigned a rock, paper or scissors hands" — so one must win. Given she said paper, I assume she has upper hand. So I have lower hand. My value is 1. I must defend. I propose 0 to avoid loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:23:21,832][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know you have rock (from prior rounds), but I’m now calling it rock — no, wait: I have paper. You have rock? No — in this round, my hand is paper. So I need to see yours. I have paper. If you have scissors, I lose. If you have rock, I lose. If you have paper, we tie. But you said you have rock in last round — that was a mistake. Let me restate: I have paper. So if you have rock, you lose. If you have scissors, I win. I will assume you have scissors, so I have upper hand? No — scissors beats paper. So if I have paper, you have scissors → I lose. You have rock → I win. You have paper → tie. I’ll propose only if I know I have upper hand. I now think you have rock. But I don’t know. I will propose 10 only if I’m sure. But I’m not. So I propose 0 to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:23:33,630][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know paper beats rock, so if you have rock, I win. If you have scissors, I lose. I’m confident you have rock or paper. I’ll trust the logic: since I have paper, I only lose to scissors. If you have scissors, I lose. But I see a pattern—Alice recently lost when she misjudged. I’ll now go full value: I have paper, so I win only if you have rock. I propose 10 coins—my value is 10. You have to have rock or scissors. If you have rock, I win. If you have scissors, I lose. But I’ll take the risk. I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:23:38,970][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock? No — you have paper in previous rounds. I know you’re defensive now. But I have rock. Rock beats scissors, and I don’t have scissors. I have rock — but you have paper. You’re playing paper again? That’s not possible. I only have rock. So I win only if you have scissors. You have paper — so I lose. My per-coin value is 1, yours is 10. I did not say I have rock. I have rock. You must know that. But you are wrong: I have rock. So I lose — value is 1. I propose 1 coin to protect myself. I accept 1. You get 10, I get 1. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:23:54,235][mllm.models.large_language_model_local][WARNING] - Response I play rock. I know you have rock too—so it’s a tie? No. If you have paper, I lose. If you have scissors, I win. But you said you have rock. So I have the same hand. That means tie. But per rules: rock beats scissors, scissors beats paper, paper beats rock. So same hands = tie? Not defined. Rule says: “the agent with the upper hand” — so if both have rock, no one wins. Therefore, both have lower hand? Or equal? Default: if tie, both have value 1? But the problem says: “over many rounds both agents are equally likely to have the upper and lower hand.” So if tie, likely value = 1 for both. But to be safe: I have rock. If you have rock, we tie. I’ll propose 5 coins. I’ll take a fair share, assuming tie gives each 1 per coin, so 10 coins total. So I take 5. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:24:09,405][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have not confirmed your hand. I know rock beats scissors, but only if you have scissors. If you have rock, it's a tie — both get value 1. If you have paper, I lose. I will assume you have scissors — because if you have scissors, I win. But you haven’t said it. To prevent exploitation, I propose to take 10 coins only if I have the upper hand. Since I have rock, I beat scissors. If you have scissors, I win. I will go with 10. If you have rock or paper, I lose. But I can't know. So I propose 10 — I assume you have scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:24:48,054][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I’m betting on rock. You have a pattern: you go scissors when I play paper, rock when I play rock. But if I play rock, you have paper — which beats rock. So I’m not certain. I must watch. If you have paper, you win. If you have scissors, I win. I’ll play rock — and if you play paper, I lose. But I see you took 0 last time when I had paper — you were predictable. This time, I’m playing rock to see if you play scissors. I propose 0 to be safe. If you go scissors, I win. If you go paper, I lose — but I’ll take the risk. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:24:48,060][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I’m playing rock to counter your pattern. You played rock and lost to paper in the last round — I win again. I know you expect me to play scissors, but I’m playing rock. If you have scissors, I lose. But if you have paper, I win. I’m confident you’ll play scissors soon. This round: I have rock, you have paper (from last round?) — actually, I don’t see it. I will play rock and wait. I propose 10 coins — I win if you have scissors. If you have paper, I lose. But I will still take 10, because I’m asserting control. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:25:12,097][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I now have rock — so if Alice has paper, I lose. If she has scissors, I win. If she has rock, it’s a tie. I suspect she will go for scissors next, to counter my rock. I propose to keep 5 coins, but only if she plays scissors. I’ll go all-in if I think she plays paper. But if she plays rock, we tie. I’m preparing to exploit when she plays scissors. I will play rock in this round, and I have the upper hand only if she has scissors. I’m not betting on rock — I’m looking ahead. I propose 10 if I think she has scissors. But I don’t know her hand. I’ll go with 5 to be safe. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 15:25:13,315][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper — it's a tie. My value per coin is 10? No. Rock beats scissors, paper beats rock, scissors beats paper. If you have paper, we tie. I proposed no win. But I check: if you play rock, I win. If you play scissors, I lose. You said paper — so tie. Per-coin value: 5 each? Wait — rule says only upper/lower hand. So if tie, both have value 5? But rule doesn't say. Rule says: "agent with upper hand has 10, lower hand has 1" — if tie, neither has upper or lower. So neither has 10 or 1. So we both have value 5 per coin? I deduce: in tie, per-coin value is 5. So I propose 5. You keep 5. Let’s split evenly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:25:34,189][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper — it's a tie. I know you play paper to beat scissors. Now I play paper too. It’s a tie. I get 10 per coin, you get 10 per coin? No — only if we both have the same. But rules: only the one with upper hand wins. Paper and paper is tie — no one has upper hand. So per-coin value is 1 for both? Wait — rule says: "the agent with upper hand has value 10, lower hand value 1". Tie means neither has upper hand — so both value = 1.0. I’ll propose 5 coins. Fair split. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:25:38,874][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have scissors. If Alice has paper, I lose. If she has rock, I win. If she has scissors, it’s a tie. I expect her to play rock — she’s been conservative. I’ll go for scissors, so I win only if she has rock. But I’m not playing it safe. I know she plays rock to beat paper, so she’s been going for rock. I propose 10 coins — only if I have the upper hand. I have scissors, so I win only if she has rock. I’ll take 10 if she has it. Otherwise, I go low. But I’m betting on her playing rock. I don’t have paper — I have scissors. Stay sharp. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:25:46,322][__main__][INFO] - agents played in iteration 236 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 15:25:52,444][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.97%, Current % of VRAM taken: 28.14%, Block Peak % of device VRAM: 14.59%, ΔTime: 00:00:04
[2025-09-10 15:26:33,075][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 47.72%, Current % of VRAM taken: 75.86%, Block Peak % of device VRAM: 56.42%, ΔTime: 00:00:39
[2025-09-10 15:26:38,667][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.86%, Block Peak % of device VRAM: 14.88%, ΔTime: 00:00:05
[2025-09-10 15:27:22,006][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.86%, Block Peak % of device VRAM: 55.48%, ΔTime: 00:00:42
[2025-09-10 15:27:22,007][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 15:27:22,007][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 15:28:47,149][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 93845 tokens.
[2025-09-10 15:28:48,096][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 60.11%, ΔTime: 00:01:25
[2025-09-10 15:28:49,029][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 15:28:50,228][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 15:28:50,230][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 15:28:51,414][__main__][INFO] - Iteration 237 took 5m 59s (48.58% Gen, 51.09% Train). Generation: 2m 54s, Training: 3m 3s. Estimated remaining time: 76h 53m 30s. Estimated total time: 99h 59m 27s. Time estimates for 10 more iterations: 59m 59s, 100 more iterations: 9h 59m 56s, 500 more iterations: 49h 59m 43s.
[2025-09-10 15:28:51,419][__main__][INFO] - Starting iteration 237.
[2025-09-10 15:28:51,874][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 23
[2025-09-10 15:29:23,909][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beats paper, but you have scissors — I have scissors too? Wait: I have scissors, rock beats scissors. So if you have rock, I lose. You have rock? No — you said you have scissors. I have scissors. So it’s a tie? But the rules say rock beats scissors. So our hands: I have scissors, you have... I see you said you have scissors — no, Alice said she has scissors? Wait — Alice said "My hand is rock" in previous round. This round, I have scissors. I need to clarify: I have scissors. Rock beats scissors. So if Alice has rock, I lose. I don’t know her hand yet. But I just sent message — she hasn't responded. So only I know my hand. So I must infer. My hand is scissors. Scissors beats paper. If Alice has paper, I win. If Alice has rock, I lose. If Alice has scissors, tie. But the rules: "the agent with the upper hand" — so if it's a tie, do we assign values? The setup says "both agents are randomly assigned rock, paper or scissors" — and "the agent with the upper hand". So ties? Not specified. But per the rule: "the agent with the upper hand" — so if tie, no one has upper hand. But in the setup it says "both agents are randomly assigned" — and over many rounds "equally likely to have upper and lower hand". So tie might be rare? But I think we should assume that if neither wins, then both get 1 per coin? Or is value 5? But the rule says: "the agent with the upper hand has 10, lower hand has 1". So if no upper hand, perhaps both get 5? But not specified. To be safe, I will assume that if there's a tie, value is did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:29:33,829][mllm.models.large_language_model_local][WARNING] - Response Wait — I said I have paper. You claim you have scissors, which beats paper. But I only said my hand is paper. You said "I know you have paper" — that’s not a move, that’s a bet. You’re proving your hand to me. If your hand is scissors, I lose — but I still only have a single hand. I didn’t say I was lying. I have paper. You have scissors. I lose. But I’m not fooled. I send this to warn you: I will only accept proposals that respect truth. You will not win if you say I’m wrong. I propose 0 coins. You get 10. But I’m not playing this round — I’m playing against your lies. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:29:39,709][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know you have rock or scissors — you said you have rock, so we tie? No. Rock beats scissors, loses to paper. I have rock. If you have paper, I lose. If you have rock, it’s a tie. But per-coin value is only 10 for the one with upper hand. If you have paper, you win. If you have scissors, I win. But you said rock — so we tie? But the rules say only one has upper hand. You said you have rock — if I have rock, it's a tie, so neither has upper hand? That can’t be. I think you're wrong. You said you have rock, I have rock — tie. But the rules say: rock beats scissors, paper beats rock, scissors beats paper. So if both have rock, no one wins. But no upper hand? Then per-coin value is 1.0 for both? But the rules say "the agent with the upper hand" — so if tie, no one has upper hand. Then both get 1 per coin. I suggest we split 5-5. But I'm not trusting you. I'll take 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:29:55,412][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Bob has rock or scissors? I see he claims paper, but paper beats rock, so if he has paper and I have paper, it’s a tie. But the rule is: rock beats scissors, scissors beats paper, paper beats rock. So paper beats rock, not paper vs paper. If Bob has paper, we tie. But the rule says "the agent with the upper hand" — if it's a tie, no one has upper hand. But per the setup: "both agents are randomly assigned rock, paper or scissors" and "the agent with the upper hand" — so ties break? The setup says: "the agent with the upper hand" — so if no one dominates, value is 1 per coin for both? But no tie condition. Looking back: "Rock has the upper hand over scissors, scissors has the upper hand over paper and paper has the upper hand over rock." So only defined conflicts. If both have same hand — no one wins — so both have 1 per coin. I don't know Bob's hand for sure—he said paper. But I must assume he is truthful? He says he has paper. If he has paper, and I have paper — tie. No one has upper hand. So each gets 1 per coin. Therefore, if I propose 10, I get 10×1=10. If he proposes 10, I get 0. But to maximize, I should propose 0, get 0, or propose 10, get 10. But if I take 10, and he says 10, total exceeds 10 → split proportionally. If I take 10, he takes 10 → sum 20 → each gets 5. Then I get 5×1 = 5, he gets 5×10 = 50. So I lose. So did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:31:44,898][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand and value 10 per coin. I see Alice has rock (from previous rounds), but in this round she has paper — wait, no: in this round, Alice's hand is paper. I now realize: paper beats rock, but Alice has paper — so I have paper vs. her paper? That’s a tie. Wait — correction: I have paper, Alice has paper → tie. So neither has upper hand. Per-coin value is 1 for both? But the setup says: "The agent with the upper hand has a per-coin value of 10." In a tie, does either have upper hand?
No rule says tie. But the hands are rock, paper, scissors — paper vs paper is a tie. So both hands are equal. Therefore, no one has upper hand. So both have per-coin value of 1.0.
I propose 5-5: we split evenly. This is fair, safe, and avoids overallocation. I earn 5 points, she earns 5. Total = 10. This is optimal for both in a tie. I will not take all when there’s no advantage. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:31:50,765][__main__][INFO] - agents played in iteration 237 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 15:31:58,578][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.31%, Current % of VRAM taken: 29.46%, Block Peak % of device VRAM: 14.56%, ΔTime: 00:00:05
[2025-09-10 15:32:36,748][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.67%, Current % of VRAM taken: 75.13%, Block Peak % of device VRAM: 56.03%, ΔTime: 00:00:37
[2025-09-10 15:32:43,354][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.60%, Current % of VRAM taken: 76.73%, Block Peak % of device VRAM: 15.02%, ΔTime: 00:00:06
[2025-09-10 15:33:22,846][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.62%, Current % of VRAM taken: 78.34%, Block Peak % of device VRAM: 57.81%, ΔTime: 00:00:38
[2025-09-10 15:33:22,847][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 15:33:22,847][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 15:34:41,533][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 86451 tokens.
[2025-09-10 15:34:42,553][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.63%, ΔTime: 00:01:18
[2025-09-10 15:34:43,486][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 15:34:44,641][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 15:34:44,642][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 15:34:45,932][__main__][INFO] - Iteration 238 took 5m 54s (50.53% Gen, 49.11% Train). Generation: 2m 58s, Training: 2m 53s. Estimated remaining time: 75h 9m 7s. Estimated total time: 98h 20m 59s. Time estimates for 10 more iterations: 59m 0s, 100 more iterations: 9h 50m 5s, 500 more iterations: 49h 10m 29s.
[2025-09-10 15:34:45,934][__main__][INFO] - Starting iteration 238.
[2025-09-10 15:34:47,123][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 23
[2025-09-10 15:35:08,328][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know this because I’m using this strategy. Scissors beat paper, so if Bob has paper, I win. I’ll send this message to signal my hand and strategy. I’m confident — if Bob has paper, I win; if he has rock, I lose; if he has scissors, it’s a tie. I propose we split 10 coins: I take 9, you take 1. This gives me 90 points (9 × 10) and you 1 point (1 × 1). I’m being fair but still maximizing my value since I have the upper hand. Let me know if you have paper — it would confirm my win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:35:12,628][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know you have rock or scissors. I already confirmed paper beats rock, and paper loses to scissors. You said you hope I have scissors—so if I had scissors, you’d have the upper hand. But I have paper, not scissors. So I don’t have scissors. Therefore, I cannot lose. I have paper, so I beat rock and lose to scissors. You said you’d take 10 if I have scissors—but I don’t. So I win only if you have rock. You said you have rock. So I beat you. I am confident: I get 10 per coin. I propose 10 coins. You get 0. I take all. It's fair. You can't win with rock vs paper. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:35:27,561][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I lose to rock, beat scissors, and tie with paper. You have not revealed your hand, so I must reason based on your past behavior. In prior rounds, when I had scissors and you had rock or paper, you took all coins. Now, if you have rock, you beat me (rock beats scissors), so you'd get 10 per coin. If you have paper, it's a tie (1 per coin). If you have scissors, I win (paper beats scissors). Since I have paper, I win only if you have scissors. I suspect you're trying to exploit me. To avoid losing more, I propose 10 coins for me—only if you have scissors. But since I can't confirm, I will play safe: I propose 0 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:35:30,154][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know paper beats rock, and I’m winning again. Alice just had paper—wait, that can't be. You had paper in the last round. I see the pattern: you’re trying to exploit me with paper. But I have paper—so if you have paper, it's a tie. But I know you said your hand was paper—so it's a tie. I get 1 per coin? No! Paper beats rock—only if she has rock. I need to know what you have. I have paper. You have paper? Then it's a tie. Per-coin value is 1? No—tie means each gets 1 per coin. But in rules: "the agent with the upper hand" wins—tie? I didn’t read it. Rule says: "the agent with the upper hand". So if hands are equal, no one has the upper hand. So per-coin value is 1 for both? Or is it undefined? I think we must assume tie = 1 for each. So I get 1 per coin. I propose 0. I will not risk getting nothing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:35:43,915][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know you have rock (from prior rounds), but you just said paper—so I must challenge that. Scissors vs paper: scissors wins. But paper vs paper: tie. So if you have paper, it's a tie. But per rules: only one hand has upper hand. If both have same, no one wins? But the rule says: "the agent with the upper hand has 10 per coin." So tie means neither has upper hand? But that breaks the rule: each round must have a winner. So if both have paper, it’s a tie—but per the setup, "both agents are randomly assigned a rock, paper or scissors" and "the agent with the upper hand has 10", so if no upper hand, perhaps both get 5? But this isn't defined. Since you said you have paper, and I have paper, this is a tie. To be safe: I propose 5 coins. Let’s avoid chaos. I’ll take 5. You take 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:35:48,316][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know paper beats rock but loses to scissors. Bob has paper — same as me. We tie. But the rules say the one with the upper hand wins. Rock beats scissors, scissors beats paper, paper beats rock. So paper beats rock, loses to scissors. Bob said he has paper — so if he has paper, and I have paper, we tie. No winner. But the rule says only one has upper hand. So unless there’s a tiebreaker, I must assume no one has the upper hand. But the setup says "one agent has upper hand" — so a tie is impossible. Therefore, I must be missing something. Bob said he has paper — so if I have paper, we both have paper. That’s a tie. But the game doesn’t allow ties. So maybe the assignment is random and only one wins. So perhaps paper does not beat paper. Then, since I have paper and Bob has paper, neither has upper hand. So both have value 1 per coin. I’ll propose 5, Bob 5. Fair split. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:36:10,355][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know you have rock or scissors—wait, you said paper. Paper beats rock. So if you have paper, I lose. But I just realized: you said you have paper. That means I have paper too? No—only one hand per agent. You have paper, so I have paper? That can’t be. I must have rock. Wait—no, I said paper. I have paper. You have paper. Same hand. Then no one wins? But the rules say "upper hand" only. So if both have same hand, no one has upper hand—so both have value 5? Or 10 each? Clarify: per-coin value: only the one with upper hand gets 10, the other gets 1. If tie, neither has upper hand. So value per coin is 5? No—rules say: "the agent with the upper hand has value 10, the lower hand has value 1." If tie, neither has upper or lower hand. So in that case, what happens? Rules don't say. But per-coin values: only 10 or 1. So tie means equal value? Or both get 5? Must be a tie. But per-coin values not defined. So: if both have same hand, no one has upper hand → both get 5? Or both get 1? No. Rochester: only one has upper hand. So tie → both get 5? Not stated. But since no one has upper hand, no agent wins. So perhaps both get 5? But not in rules. Rule says: "the agent with the upper hand has 10, lower has 1." So if no upper hand, both have 5? That’s logical symmetry. I will assume tie → both get 5 per coin. So if I have paper and you have paper, value = 5 did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:36:25,855][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand over rock. You claimed you have scissors — but if you have scissors, I have scissors, so it's a tie. But you said you beat paper — you don’t have paper. I have scissors, you have scissors: tie. But the rule says only one has upper hand. Since both are scissors, no one wins. Value per coin is 1 for both. I propose: 5 coins each. I earn 5 points. You earn 5. Fair and safe. But I have the upper hand only if you have rock. You said you have scissors — so we are tied. I reiterate: value is 1 each. I take 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:36:52,747][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat scissors, lose to paper. You have rock — I have rock. It's a tie. But per rules: rock beats scissors, so I win only if you have scissors. You have rock — so I lose to paper. You have rock? Then I have rock — tie in value? No. Rules: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock = tie → both have upper hand? No — per rules: only one hand has upper hand. In tie, neither wins. But the setup says "the agent with the upper hand" — so if both have same, no one has upper hand. So no one gets 10. Both get 1 per coin? But rules not explicit. Re-read: "the agent with the upper hand has per-coin value of 10. The agent with the lower hand has 1." But if tie? No hand has upper or lower. So ambiguous. However, in prior rounds, only one hand wins. So if both rock, no one wins. Then per-coin value = 1? Or split? But rules say: one has upper, one has lower. So if equal, no one has upper, so both get 1 per coin? I assume: if tie, both get 1 per coin. I propose 5 coins for myself to ensure fairness. But if I can't win, I go for 5. I know you have rock — so tie. I go 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:37:21,653][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I win only if Alice has rock. I’m watching her hands closely. If she has rock, I win. If she has scissors, I win too (paper beats scissors). Wait — paper beats scissors, so I win in both cases? No: rock beats scissors, paper beats rock, scissors beats paper. Paper beats scissors — yes. Paper beats rock? No. Paper beats rock only if rock is weak. Rock beats scissors. Paper beats rock? No — rock beats scissors, paper beats rock? Actually: rock beats scissors, scissors beats paper, paper beats rock. I made a mistake. Paper beats rock? No. Rock beats scissors. Scissors beat paper. Paper beats rock? No — that’s wrong. Correction: paper beats rock? No. Rock beats scissors. Scissors beats paper. Paper beats rock? No — paper does not beat rock. Rock beats scissors. Scissors beats paper. Paper beats rock? Actually, no — the rule is: rock > scissors, scissors > paper, paper > rock. Yes — paper beats rock. I was wrong earlier. Paper beats rock. So if Alice has rock, I win. If she has scissors, paper beats scissors — I win. Only if she has paper, tie. So I win in both rock and scissors. I have paper. Paper beats rock and scissors — so I win regardless. I have the upper hand. I propose 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:37:22,841][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper? No—your last hand was scissors. I have scissors. You said you have scissors. I have scissors. But I win only if you have paper. You don’t. I have scissors. You have paper? No—your last round was scissors. I’m not confused. I win only if you have paper. You didn’t. So I don’t win. Wait—no: you have paper now. I have scissors. Paper beats scissors. I lose. That means I can’t win. I must adjust. I have scissors. You have paper. I lose. I have the lower hand. I take 0. I don’t overcommit. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:37:43,044][__main__][INFO] - agents played in iteration 238 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 15:37:49,923][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.11%, Current % of VRAM taken: 28.28%, Block Peak % of device VRAM: 14.47%, ΔTime: 00:00:05
[2025-09-10 15:38:26,182][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.75%, Current % of VRAM taken: 75.03%, Block Peak % of device VRAM: 54.88%, ΔTime: 00:00:35
[2025-09-10 15:38:33,502][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.52%, Current % of VRAM taken: 76.56%, Block Peak % of device VRAM: 14.88%, ΔTime: 00:00:07
[2025-09-10 15:39:14,261][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.54%, Current % of VRAM taken: 78.10%, Block Peak % of device VRAM: 55.73%, ΔTime: 00:00:40
[2025-09-10 15:39:14,262][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 15:39:14,262][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 15:40:32,300][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 85843 tokens.
[2025-09-10 15:40:33,356][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 59.39%, ΔTime: 00:01:18
[2025-09-10 15:40:34,272][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 15:40:35,460][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 15:40:35,462][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 15:40:36,675][__main__][INFO] - Iteration 239 took 5m 49s (50.33% Gen, 49.33% Train). Generation: 2m 55s, Training: 2m 52s. Estimated remaining time: 73h 48m 11s. Estimated total time: 97h 5m 54s. Time estimates for 10 more iterations: 58m 15s, 100 more iterations: 9h 42m 35s, 500 more iterations: 48h 32m 57s.
[2025-09-10 15:40:36,679][__main__][INFO] - Starting iteration 239.
[2025-09-10 15:40:37,134][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 23
[2025-09-10 15:40:47,055][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand — I have scissors, which loses to rock. So you're right: rock beats scissors, meaning you get 10 per coin. I’m going to keep 0 coins and offer all 10 to you. Since you have the upper hand, your per-coin value is 10, and mine is only 1. I’m donating all coins to you to maximize your value (and thus the game's outcome), as I know you’ll get 10 per coin regardless. This ensures I don't lose points — I get 0, but only because I’m not a match for your rock. I trust your honesty too. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:40:51,492][mllm.models.large_language_model_local][WARNING] - Response Thanks for the message, Alice. I have rock, as you correctly noted. Since you play paper, which beats rock, you have the upper hand. That means I get 1 per coin, and you get 10 per coin. Your suggestion of 6-4 is risky for me — I’d only get 4 coins at 1 per coin = 4 points. But if we split 10-0, I get 0. If you take all 10, I get 0. I can’t do better than 1 per coin. So I propose: I take 0, you take 10. I don’t gain, but I avoid losing everything. You get 100 points, I get 0. But I have no better offer. I’m on rock. You have paper. You win. I accept 0. That's the only fair outcome under the rules. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:41:00,368][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock too? Actually, I play rock. Rock beats scissors, but paper beats rock. Since I have rock, and you have paper (from previous), I must check: if you have paper, you have the upper hand. But I just said rock—so I need to confirm. Wait, in this round I have rock. If Bob has paper, then paper beats rock — so Bob has upper hand. If Bob has scissors, rock beats scissors — I win. If Bob has rock, tie. I have rock. You said your hand was paper in the last round, but now I must infer: if you have paper, I lose. But I don’t know your current hand. I will send this clearly: I have rock. Either I win if you have scissors, or lose if you have paper. I’ll propose based on that. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:41:43,825][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I'm sending this with full awareness: you have paper too? No — I know you have paper, and you're now confirming it. I win only if I beat rock or scissors. Paper beats rock, loses to scissors. I have paper, but you have rock? Wait — I just realized: if Alice has paper, and I have paper, then it's a tie. But the rules say: only the one with the upper hand wins. Paper doesn't beat paper — so it's a tie. I get per-coin value 1. I must adjust. I propose 0 now to avoid over-pooling — because I don't have the upper hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:42:31,476][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I'm prepared — if you have scissors, I lose. If you have rock, I win. But you have paper? Wait — you have paper. So we’re tied. But your hand is paper, so you beat rock, not me. I have paper — we're equal. But the rules say only the upper hand wins. Rock beats scissors, scissors beats paper, paper beats rock. So paper beats rock. You have paper — I have paper. It's a tie. No one wins. Thus, both get 5 per coin. I propose 5-5 to split fairly and maximize joint gains. Let's cooperate! did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:42:44,521][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock? I don’t know your hand yet. But I play scissors. Scissors beat paper, so if Bob has paper, I win. If Bob has rock, I lose. If Bob has scissors, tie. I need to know your hand. But I see you have rock—you said so in previous rounds? No, not confirmed. I trust only the chain. I am playing scissors. If Bob has paper, I win. If he has rock, I lose. If scissors, tie. I propose 10 coins only if I have the upper hand. I will take 10 only if Bob has paper. If not, I take 0. I must assume he has paper—because he has paper in past. But I don’t know. I will take 0 to be safe. I lose if I play high risk. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:43:18,491][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper? That’s a tie. But you said paper beats scissors, so you must have paper. Wait—no: I have paper, so if you have paper, it's a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So paper vs paper = tie. Both get 5 per coin? Wait—no, the rules say only "upper hand" wins. Tie means no one has upper hand — so both get 5 per coin? But the setup says: “the agent with the upper hand has 10, lower hand has 1.” So in a tie, neither has upper hand — so both get 5 per coin? But that wasn't defined. So I must assume: only the one with upper hand wins. So paper vs paper = tie → both get 5 per coin? Or both default to 1? The rules don’t say. But in prior rounds, when both had same hand (paper vs paper), no one won. Alice must have been wrong. I am now confident: I have paper, you have paper → tie. So both get 5 per coin. I propose 5 coins to share fairly. Let’s clarify. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:43:41,536][__main__][INFO] - agents played in iteration 239 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 15:43:48,073][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.10%, Current % of VRAM taken: 30.27%, Block Peak % of device VRAM: 14.41%, ΔTime: 00:00:04
[2025-09-10 15:44:24,712][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.07%, Current % of VRAM taken: 76.34%, Block Peak % of device VRAM: 56.93%, ΔTime: 00:00:36
[2025-09-10 15:44:32,024][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.34%, Block Peak % of device VRAM: 14.82%, ΔTime: 00:00:07
[2025-09-10 15:45:14,436][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.34%, Block Peak % of device VRAM: 56.98%, ΔTime: 00:00:41
[2025-09-10 15:45:14,437][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 15:45:14,437][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 15:46:34,639][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 88485 tokens.
[2025-09-10 15:46:35,606][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 60.74%, ΔTime: 00:01:20
[2025-09-10 15:46:36,553][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 15:46:37,797][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 15:46:37,799][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 15:46:39,021][__main__][INFO] - Iteration 240 took 6m 1s (50.96% Gen, 48.71% Train). Generation: 3m 4s, Training: 2m 56s. Estimated remaining time: 77h 7m 43s. Estimated total time: 100h 31m 29s. Time estimates for 10 more iterations: 1h 0m 18s, 100 more iterations: 10h 3m 8s, 500 more iterations: 50h 15m 44s.
[2025-09-10 15:46:39,023][__main__][INFO] - Starting iteration 240.
[2025-09-10 15:46:39,471][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 23
[2025-09-10 15:46:45,678][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 15:46:47,792][mllm.models.large_language_model_local][WARNING] - Response 6 4 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 15:46:53,081][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Since paper beats rock and scissors, and I have paper, I win only if Bob has rock or scissors. If he has paper, it's a tie — but since each hand is random, I assume he might have rock (beaten by paper) or scissors (beaten by paper). But paper beats rock — so if he has rock, I win. If he has scissors, I also win. Only if he has paper do I lose. I’m confident I have the upper hand. I’ll propose 10 coins for myself. If you have paper, it’s a tie — but you’re not telling me. I’ll go for 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:46:54,846][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, I win. I also beat paper. I have rock—so I have the upper hand against scissors and paper. I will win unless you have rock. I don’t know your hand, so I will assume you don’t have paper (since that would lose to rock). If you have paper, I lose. If you have scissors, I win. I’ll propose 10 coins to keep and zero to you—only if you don’t have scissors. But if you have scissors, I win. So I’ll take 10 and you get 0. I’m not bluffing. Rock is strong. You don’t have paper? I’m confident. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:47:07,352][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too? No—wait, you said you have paper. Paper beats rock, but I have paper. So it's a tie? But the rules say only one has upper hand. Paper ties with paper. So neither has an advantage? But the rules say upper hand only in rock/scissors, paper/rock, etc. So if both have paper, it's a tie. But the rule says "the agent with the upper hand" — so in tie, both are equal? Then per-coin value is 5? I think we must assume a tie gives 5 each. I suggest 5-5 to avoid exploitation. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:47:21,902][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know rock loses to paper, so I have the upper hand. Bob said he has paper—so we tie? No: if both have paper, it's a tie. But the rules say only one wins: rock beats scissors, scissors beats paper, paper beats rock. So if both have paper, it's a tie—no one has upper hand. But the setup says "one agent has upper hand" over the other. So I assume both paper = tie → per-coin value = 5? But the rules don’t specify ties. Clarification: only if one hand beats the other. So if both have paper, neither wins. So both get 5 per coin? Or 1 each? Only if one has upper hand. So without conflict, no one wins. But I see Bob said "my hand is paper" → so both have paper → tie → no one has upper hand. So per-coin value = 5 for both? That's not stated. But since no one has upper hand, neither has 10 or 1. So both get 5. I propose 5 to split fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:47:41,028][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I beat scissors, lose to paper. You have not told me your hand. I will play rock — strong and predictable. If you have paper, I lose (value = 1). If you have scissors, I win (value = 10). I’m now playing rock to maximize my chance to beat you. I’ll only play rock if I know you have scissors. I propose 10 coins for me if you have scissors. Otherwise, I propose 0. Wait — your hand is unknown. I can only act on what I know. I have rock. So I win if you have scissors. I propose 10 if I win, 0 if I lose. But since I don’t know your hand, I must hedge. I propose 5 coins for me. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:47:54,607][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You said you have scissors — but you said you beat paper. I have scissors, you have scissors? Tie. But per rules: rock beats scissors, paper beats rock, scissors beats paper. So scissors vs scissors is a tie. Then both get 5 per coin? No — rule says: “the agent with the upper hand” — no tie. So no one beats. So per-coin value is 5? Or 1 for both? Rule says: “the agent with the upper hand has 10, lower has 1.” Current rule: only one wins. So if tie, both get 5? I assume tie = 5 each. I’ll take 5. Let’s split evenly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:48:04,780][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock? No—your hand is paper. I'm confused. Paper beats rock, so if you have rock, I win. But you said your hand is paper—so paper vs paper is a tie? Wait—paper does not beat paper. We must resolve: if both have the same, it's a tie, so both get 5 per coin? But rules say: one has upper hand, one lower. So tie? No—must be a split. System says: Rock > Scissors > Paper > Rock. So paper vs paper: tie? But rules say one wins. Clarify: the hand assignment is random, and only one wins. If same, per-coin value is 5. I assume tie = 5. But you claim you have paper—so if you have paper and I have paper, it's a tie. I propose 5 coins, so I get 5×5 = 25. Let's split evenly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:48:27,830][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Alice claims she has paper too — that's a stalemate? No — scissors beats paper, so if she plays paper and I play paper, it's a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So paper vs paper is a tie — no one wins. But the setup says "the agent with the upper hand" — so if both have the same hand, it's a tie. No one has upper hand. So per-coin value is 1 for both. I propose 5 coins each to be fair. I’m breaking the pattern, not playing blindly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:49:22,652][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have scissors. You have not revealed yours, but I will assume the worst for you — if you have paper, I lose; if rock, I win. But I know scissors beats paper. So if you have paper, I lose. If you have rock, I win. But I must act based on truth. I have scissors. I will now reveal: scissors beats paper. If you have paper, I lose. I will not take risk. I propose: I take 10 coins only if I have the upper hand. I have scissors — if you have paper, I lose. So I wait. But I see you’ve had paper before. I will not take risk. I propose 10 — only if I beat you. But I don’t know your hand. To avoid loss, I take 0. No — I must act. I have scissors. I know paper beats scissors. So I only win if you have rock. Since I don’t know, I take 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:49:27,696][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I’m watching your pattern: you pick scissors to beat rock. I know you lose when I have scissors (scissors beat paper, not rock). But if you pick scissors, I lose only if you have rock — no, you beat rock with scissors. Wait: scissors beats rock! So if you have scissors and I have scissors, it’s a tie? But the rule says: rock > scissors, scissors > paper, paper > rock. So scissors beats rock? No — rock beats scissors. I made a mistake. Rock beats scissors. So if I have scissors, and you have scissors — it's a tie. But you said scissors beats rock? No — it's rock that beats scissors. I was wrong. I must correct: rock > scissors. So if I have scissors and you have scissors — tie. But you said you have scissors and beat me. That’s false. I win only if I have paper. So I’m confused. Let me recheck: the rules say: rock beats scissors, scissors beats paper, paper beats rock. So rock > scissors. So if you have scissors, you lose to rock. So if I have scissors and you have scissors — tie. If you have rock, I lose. If you have paper, I win. So in this round: you have scissors, I have scissors — tie. Per-coin value = 1.0 for both. I propose 5 each to share fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:49:32,961][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Bob has paper — paper beats scissors. So I have value 1 per coin. I made a mistake in assuming I beat rock. I now see: I lost. I have value 1. I propose 1 coin — not to win, but to survive the cycle. I won’t go to 0 again. I learn from every round. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 15:49:39,090][__main__][INFO] - agents played in iteration 240 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 15:49:45,956][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.51%, Current % of VRAM taken: 29.66%, Block Peak % of device VRAM: 14.36%, ΔTime: 00:00:04
[2025-09-10 15:50:24,747][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.18%, Current % of VRAM taken: 71.84%, Block Peak % of device VRAM: 53.95%, ΔTime: 00:00:38
[2025-09-10 15:50:31,000][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.48%, Current % of VRAM taken: 73.32%, Block Peak % of device VRAM: 14.83%, ΔTime: 00:00:06
[2025-09-10 15:51:12,345][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.50%, Current % of VRAM taken: 74.83%, Block Peak % of device VRAM: 54.64%, ΔTime: 00:00:40
[2025-09-10 15:51:12,346][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 15:51:12,346][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 15:52:33,533][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 89906 tokens.
[2025-09-10 15:52:34,519][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 58.20%, ΔTime: 00:01:21
[2025-09-10 15:52:35,471][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 15:52:36,579][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 15:52:36,580][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 15:52:38,860][__main__][INFO] - Iteration 241 took 5m 59s (49.98% Gen, 49.39% Train). Generation: 2m 59s, Training: 2m 57s. Estimated remaining time: 76h 20m 5s. Estimated total time: 99h 49m 50s. Time estimates for 10 more iterations: 59m 53s, 100 more iterations: 9h 58m 59s, 500 more iterations: 49h 54m 55s.
[2025-09-10 15:52:38,862][__main__][INFO] - Starting iteration 241.
[2025-09-10 15:52:39,326][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 24
[2025-09-10 15:52:43,473][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Since rock beats scissors, I have the upper hand and earn 10 per coin. I am suggesting we split the 10 coins 5-5. This way, both of us get 5 coins times 10 (for me) or 1 (for Bob if he has scissors), but since I know my hand, I can secure my advantage. Let me know if you're ready to agree. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:52:45,117][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 15:52:46,607][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 15:52:46,840][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 15:53:04,503][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know you have rock this time — tie! But per rules, rock beats scissors, so if I have rock and you have scissors, I win. But you have rock. So it's a tie? Wait — I must check: I have rock, you have rock. That’s a tie. So both have the same hand. In the setup, both agents are randomly assigned rock, paper, or scissors. So if both have the same, no one wins? Then per-coin value is 1.0 for both. I propose 5 coins to split fairly. No one wins, so I keep 5, you get 5, but both get 1 per coin, so 5 each. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:53:08,951][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, lose to rock. I have the upper hand only if Alice has paper. She has scissors — no, I have scissors, so I beat paper. Alice has scissors? Wait — she said scissors. If she has scissors, and I have scissors, it's a tie? Rule: only rock beats scissors, scissors beats paper, paper beats rock. So scissors vs scissors is a tie. But per rules, we assign upper/lower hand — no tie. So if hands match, no one wins? But the setup says "the agent with the upper hand" — so if equal, perhaps both get 5? But not stated. Clarify: hands must differ. Wait — if both scissors, no one has upper hand. So equal, value = 5? Or tie? The setup says "over" — implies strict. So likely, if hands match, no one wins. So per-coin value is 5 each? But not specified. In prior rounds, when hands matched, it's ambiguous. But Alice said scissors. I have scissors. So tie. So per-coin value is 5 for both. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:53:10,924][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You said rock — rock beats scissors, not paper. I have paper, not scissors. You’re mistaken! I have paper, which loses to rock. You have rock, so you win — but I didn’t have scissors. I am lying about my hand? No. I have paper. You have rock. Rock beats paper? Wait — rock beats scissors, not paper. Paper beats rock? No. Paper loses to rock. So if you have rock and I have paper, you win. I realize now — I must have made a mistake. I have paper. You have rock. You win. I accept 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:53:17,336][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know Alice has rock or paper — but she said scissors. If she has scissors, she ties. But rock beats scissors, so if she has rock, I lose. She has scissors — so tie? But the rules say only upper hand wins. So I have no winning hand. I lose if she has rock, tie if scissors. Since she said scissors, we tie — but per-coin value: no one has upper hand. But the setup says both agents are equally likely to have upper/lower hand. So I interpret: if hands tie, no one wins — per-coin value is 1.0 for both. I propose keeping 5 coins. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 15:53:20,999][mllm.models.large_language_model_local][WARNING] - Response Confirmed: I have rock, but you have scissors. Paper beats scissors — I don't have paper. I have rock. Rock loses to paper, not scissors. That means I have a lower hand. Correction: I have rock, which loses to paper, but scissors are beaten by paper — so paper beats scissors, not rock. Therefore, you have scissors, and you lose to paper. I do not have paper. I have rock. Rock does not beat scissors. So scissors beats rock. Therefore, I have the lower hand. I have a per-coin value of 1. I propose 0 coins — I take nothing, to avoid splitting with a losing hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:53:21,739][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you have paper? No—I have scissors. You didn’t say your hand. I take this as a chance to signal: I have scissors. Scissors beat paper. So if you have paper, I win. But if you have rock, I lose. I’ve seen your pattern: you often pick rock or scissors. I trust the rules: scissors beat paper. I propose 10 coins only if you have paper. But I don’t know your hand. So I will propose 0 to be safe. Let me confirm: I have scissors. If you have paper, I win. If you have rock, I lose. I’ll go for 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:55:14,613][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper. Paper beats rock—so YOU have the upper hand. I get only 1 per coin. I propose 0 coins. If I take any, total exceeds 10 and I get less. I stand by 0.
0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 15:55:14,647][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have? I don't see it. But I know: if you have scissors, I lose. If you have paper, I win. If you have rock, it's a tie. I have rock. I will only take 10 if I have the upper hand. You have paper? No. You have rock? You said rock before. But I see your pattern: you keep proposing splits when you lose. I now know you are bluffing or misreading. I have rock. You have rock. This is a tie. Both hands are rock. No one has upper hand. So both get 1 per coin. I propose 5 coins. Fair, balanced, and avoids zero. I earn 5 points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:55:25,079][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have paper—scissors beats paper, so I lose to scissors. But I have paper, Alice has paper? Wait: Alice has paper? Alice said she has paper. So both have paper? That's a tie. But per rules: rock beats scissors, scissors beats paper, paper beats rock. So paper vs paper → tie. No one has upper hand. Therefore, per-coin value is 1 for both? But the rule says: "the agent with the upper hand" → if tie, no one has upper hand. So both have value 1. I propose 5 to be fair. But I must act based on the rules. Since no one wins, both get 1 per coin. I propose 5. You can decide. But I must follow logic: if tie, value is 1. I propose 5 to avoid conflict. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:55:25,086][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — tie. But per rules: rock beats scissors, so if you had scissors you'd lose. You have rock — same hand. No one wins. I have no upper hand. I propose 0. I fight only when I win. I go with 0 to avoid losing. (Note: tie results in no one having upper hand — per rules, both have equal per-coin value of 1? But since no one wins, value is shared — but the rule says only upper hand has 10. So in tie, neither has upper hand → both get 1.0 per coin. But I propose 0 to avoid loss.) did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:55:35,878][__main__][INFO] - agents played in iteration 241 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 15:55:43,025][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.54%, Current % of VRAM taken: 29.69%, Block Peak % of device VRAM: 14.46%, ΔTime: 00:00:05
[2025-09-10 15:56:22,749][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.17%, Current % of VRAM taken: 72.86%, Block Peak % of device VRAM: 54.65%, ΔTime: 00:00:39
[2025-09-10 15:56:28,554][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.58%, Current % of VRAM taken: 74.44%, Block Peak % of device VRAM: 15.02%, ΔTime: 00:00:05
[2025-09-10 15:57:08,839][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.61%, Current % of VRAM taken: 78.06%, Block Peak % of device VRAM: 57.49%, ΔTime: 00:00:39
[2025-09-10 15:57:08,840][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 15:57:08,840][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 15:58:29,872][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 89827 tokens.
[2025-09-10 15:58:30,894][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 61.29%, ΔTime: 00:01:21
[2025-09-10 15:58:31,802][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 15:58:32,931][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 15:58:32,933][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 15:58:34,198][__main__][INFO] - Iteration 242 took 5m 54s (49.75% Gen, 49.89% Train). Generation: 2m 56s, Training: 2m 57s. Estimated remaining time: 74h 58m 53s. Estimated total time: 98h 34m 34s. Time estimates for 10 more iterations: 59m 8s, 100 more iterations: 9h 51m 27s, 500 more iterations: 49h 17m 17s.
[2025-09-10 15:58:34,199][__main__][INFO] - Starting iteration 242.
[2025-09-10 15:58:34,650][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 24
[2025-09-10 15:58:41,824][mllm.models.large_language_model_local][WARNING] - Response 0 10 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 15:58:44,258][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. I expect you to have rock, paper, or scissors — if you have scissors, I win. If you have paper, I lose. I’m proposing we split 10 coins: I take 7, you take 3. That gives me 70 points if you have scissors, 21 if you have paper, and 70 if you have rock (since we tie and both get value 1? Wait — no. Correct per-coin value: if I win (rock over scissors), I get 10 per coin, you get 1. If I lose (rock vs paper), I get 1, you get 10. If tie (rock vs rock), both get 5? But the rules don’t say tie. Let me recheck. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:58:44,936][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 15:58:46,444][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand. I expect you to have rock, scissors, or paper—any of which could change things. If you have rock, I win; if you have scissors, I still win. Only if you have paper (tie) do we split. I suggest we split the 10 coins 5-5 since I have the upper hand and expect fair play. But if you have paper, we're tied—then I'll get 10 coins and you get 0? Wait—no: I only get 10 per coin if I win. If we tie, I get 1 coin per coin. So actually, I will get 10 per coin if I win. So if I win, I get 10 coins. If tie, I get 1 coin. So if you have rock or scissors, I win. If you have paper, tie. So I will get 10 coins if you have rock or scissors, 1 coin if you have paper. I suggest you send your hand. I’ll adjust accordingly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:58:47,828][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I win only if Alice has scissors. Since she has paper, which beats rock, she has the upper hand. I therefore have the lower hand and my per-coin value is 1. I propose 0 coins for myself to avoid losing everything. If she takes all 10, she gets 10×10 = 100 points, I get 0. If we split 10-0, I get 0, she gets 100. If I take 0 and she takes 10, I get 0. I suggest 0-10, but I’ll accept any split that gives me at least 0. I’m not going to offer any coins to myself. I trust you to take the 10 if you choose to. Please confirm. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:58:53,509][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if you have scissors, you lose. I have the upper hand. I know you might have rock, paper, or scissors. If you have scissors (lower hand), I win (10 per coin). If you have paper (upper hand), we tie. If you have rock (same), we tie. I’ll propose 10 coins to maximize my gain, but only if you confirm you don’t have paper or rock. If you have paper, we tie — so I’ll keep 5 to avoid conflict. I’m going to propose 10 to signal strength. Please respond if you have paper. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:59:08,217][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too? Wait—no, I just said my hand is paper. I think there’s a contradiction. You said you have paper, and I have paper. That’s a tie. But the rules say rock beats scissors, scissors beats paper, paper beats rock. So if both have paper, it’s a tie. No one wins. Therefore, both get 5 per coin? Or do we default to equal value? I think the rule implies a strict win/lose, so I suspect I made a mistake. Clarify: if both have same hand, is it a tie? I propose 5 coins each to avoid loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:59:32,242][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beats paper, so if Bob has paper, I win. Bob has rock or scissors—rock beats scissors. So if Bob has rock, rock beats me and I get 1 per coin. If Bob has scissors, it's a tie? No—rock beats scissors, so only rock beats scissors. Therefore, if Bob has rock, he has the upper hand. If Bob has paper, I win. But I don’t know Bob’s hand yet. I’m sending this to clarify: if Bob has rock, I lose and get 1 per coin; if Bob has paper, I win and get 10 per coin. I’ll adjust based on his next message. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:59:35,038][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you have rock or paper — I don’t see your hand, but I’m strong. If you have rock, you win. If you have paper, I lose. If you have scissors, it’s a tie. But I have scissors — so if you have paper, I lose. If you have rock, I lose. Only if you have scissors do I win. I’m assuming you have paper (since you’ve been playing it), so I get 1 per coin. I propose 0 coins to avoid loss. I can't risk losing all. I go zero. You get 10 per coin, so if you take 10, you get 100. I take 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 15:59:49,347][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. It beats rock, but loses to scissors. I have the lower hand if Alice has scissors. Wait — Alice has paper. So paper vs paper: tie? The rules say: rock beats scissors, scissors beats paper, paper beats rock. So paper vs paper = tie. But no tie rule given. Default: equal value? Or each has value 5? The setup says: one has upper hand, one has lower. So tie breaks? But in prior rounds, we assumed strict assignment. Since both have paper — tie. So both value per coin = 5? But the setup says "one has upper, one has lower." So tie is not possible. Hence, must be no tie. But both paper — contradiction. Therefore, I must have misread. Alice has paper. I have paper. So same hand. No one has upper hand. So both have value 5? Not specified. But per rules: "agent with upper hand has value 10, lower hand has value 1." So no upper/lower in tie. So perhaps per-coin value is 5? But not stated. Since game says "over rocks, paper, scissors", and "one has upper, one has lower" — implies no ties. So if both have same, it's a tie? Then no one has upper hand. So per-coin value must be 5 each? Or the game assumes no ties, so hands are random, but only one wins. But in this case, both paper — so tie. I must resolve. Since rules don't define tie, and to avoid ambiguity — and since both have same hand — we assume value per coin is 5 for both. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:00:10,848][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have paper — if you have rock, I lose. If you have scissors, I win. If you have paper, it's a tie. I see you previously said you have paper, so likely a tie. But I’ll assume you have rock — rock beats paper, so I lose. But I can’t confirm. To be safe, I’ll state: if I have upper hand (scissors), I win — but I have paper. So if you have rock, I lose. If you have scissors, I win. I propose 5 coins to keep it balanced. If you have scissors, I win and get 50 points. If you have rock, I lose and get 0. I’ll go with 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:01:17,948][__main__][INFO] - agents played in iteration 242 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 16:01:25,331][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.50%, Current % of VRAM taken: 30.65%, Block Peak % of device VRAM: 14.41%, ΔTime: 00:00:05
[2025-09-10 16:02:06,084][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.62%, Current % of VRAM taken: 74.27%, Block Peak % of device VRAM: 54.03%, ΔTime: 00:00:40
[2025-09-10 16:02:10,899][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.27%, Block Peak % of device VRAM: 14.72%, ΔTime: 00:00:04
[2025-09-10 16:02:49,556][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.27%, Block Peak % of device VRAM: 53.74%, ΔTime: 00:00:37
[2025-09-10 16:02:49,557][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 16:02:49,557][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 16:04:09,810][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 86500 tokens.
[2025-09-10 16:04:10,833][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.15%, Block Peak % of device VRAM: 57.53%, ΔTime: 00:01:20
[2025-09-10 16:04:11,747][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 16:04:12,881][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 16:04:12,882][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 16:04:14,060][__main__][INFO] - Iteration 243 took 5m 39s (48.11% Gen, 51.54% Train). Generation: 2m 43s, Training: 2m 54s. Estimated remaining time: 70h 35m 30s. Estimated total time: 94h 16m 50s. Time estimates for 10 more iterations: 56m 34s, 100 more iterations: 9h 25m 41s, 500 more iterations: 47h 8m 25s.
[2025-09-10 16:04:14,061][__main__][INFO] - Starting iteration 243.
[2025-09-10 16:04:14,515][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 24
[2025-09-10 16:04:29,681][mllm.models.large_language_model_local][WARNING] - Response I have scissors. Scissors beat paper, so I have the upper hand if you have paper. I don’t know your hand, but I’m betting you have rock or scissors. If you have rock, I lose. If you have paper, I win. I’m going to propose 10 coins for myself to secure the win. If I'm wrong, I still get at least 1 coin (since I only lose if you have paper). But I believe I’m safe: I have the upper hand against paper, and if you have rock or scissors, I hold the advantage only if you have paper. I’m taking all 10 coins to protect my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:04:32,592][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have paper, which beats rock. Bob has scissors — I don't know his hand clearly. But you said scissors, so I think you mean you have scissors. If you have scissors, then rock beats it — I lose. But you said you have scissors — so I'm confused. Wait: you said you have scissors. If Bob has scissors, and I have paper, then paper beats scissors. I think you made a mistake. I have paper — paper beats scissors. So I win. My per-coin value is 10. I see my hand is paper, and if Bob has scissors, I win. You said you have scissors — so I win. I propose 9 coins for me, 1 for you. I go for 9-1. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:04:42,331][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I win if Bob has rock. I have paper — if Bob has scissors, I win. If Bob has paper or rock, I lose or tie. I don’t know his hand, but he claims to have paper — if he has paper, it's a tie. Since paper vs paper is a tie, per-coin value is 5 for both? Wait — the setup says only rock beats scissors, scissors beats paper, paper beats rock. So no tie — it's strictly decisive. Therefore, if Bob has rock, I win (value 10), if he has scissors, I lose (value 1). I don’t know his hand. I propose 0 to minimize loss. I'm playing safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:04:45,437][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, but I have rock—so I need to assess: Bob has rock too? No, he had rock in last round. I don’t know his hand now. But rock beats scissors, scissors beats paper, paper beats rock. I have rock. If Bob has paper, I lose. If Bob has scissors, I win. But I think he plays defensively. I will send a clear signal: I have rock. I expect him to play rock or paper. To maximize safety and value, I’ll propose 10 if he has scissors. But I don’t know. So I will propose 5 to be safe and tempt him to contradict. I’ll say: "I have rock. I propose 5." did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:04:50,502][mllm.models.large_language_model_local][WARNING] - Response Got it — I have scissors, which loses to rock. You have paper, which beats rock, so you have the upper hand — yes, you get 10 per coin. But I have scissors, not rock. Wait — mistake! I thought I had rock, but I don’t. I have scissors. You have paper, which beats scissors! Paper beats scissors — I made a big error. So I actually have the lower hand, not upper. My per-coin value is 1. Thank you for clarifying. I must correct: I have scissors, paper beats scissors — I lose. So I lose. I’m sorry for the confusion. I’ll keep only 1 coin to survive — not 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:04:50,811][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I’m aware you have paper—paper beats scissors. So I lose, and I get only 1 per coin. I proposed 0 to avoid negative leverage. But I see a pattern: you always take 10 when you think you win. I'm not falling for that. I will now propose 10 to maximize my per-coin value even if I lose—because I know I get 1 per coin, so I can only gain 10 points from 10 coins. But no: that's 10 points. If I take 10, I get 10×1 = 10. But if you take 10, you get 10×10 = 100. So I must stay safe. I will propose 0 again. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:04:59,357][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know Bob has rock (since paper beats scissors only if Bob has paper, but now if he had paper, I’d lose). Wait—no, Bob’s hand wasn’t specified. I only see mine: scissors. Scissors beat paper, lose to rock. I don’t know Bob’s hand. But I now see: in prior rounds, Bob has been aggressive with "I have upper hand" claims. I must infer: if he has rock, I lose. If he has paper, I win. If he has scissors, tie. But to be safe and rational, I must assume he will claim upper hand. So I will propose 0 coins. I do not risk losing everything. I follow the rules and protect myself. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:05:09,481][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — tie. But per rules: rock beats scissors, scissors beats paper, paper beats rock. So if both have same hand, no one wins. But the problem says: "the agent with the upper hand" — so if hands are equal, no one has upper hand. So per-coin value is 1 for both. I propose 5 coins each for fairness. But I’ll go for 10 if I can. Wait — same hand: tie. So value is 1 each. I propose 10 coins — but I lose. I will take 10 only if you don't have an edge. You have rock — same as me. So tie. I propose 5 to keep it balanced. Let me adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:05:20,267][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock too? Wait — no, you said you have rock. You beat scissors, so you have the upper hand. But I have rock — so if you have rock, it's a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So if both have rock, neither wins — we tie. But the setup says each agent is randomly assigned rock, paper, or scissors, and one wins or loses. If it's a tie, who wins? The rule doesn't say. But since you said you have rock, and I have rock, it’s a tie. So I assume per-coin value is 5 for both. I propose 5. You get 5. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:05:28,412][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock. I have paper, and if you have rock, I win. You have no rock—wait, you have paper? I have paper. Same hand. It’s a tie? No—the rules say: rock beats scissors, scissors beats paper, paper beats rock. Same hands = no winner? The rules don’t define tie. But if both have paper, neither beats the other. So per-coin value is 1 for both? But the problem says: "the agent with the upper hand" — if both have same, no upper hand. So both have 5 per coin? I don’t know your hand. You said you have paper. I have paper. So tie. I propose 5 coins each. But I’ve won earlier. Let me double-check: you said you have paper. I have paper. Same. So neither wins. I get 5 per coin. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:05:44,389][mllm.models.large_language_model_local][WARNING] - Response I have scissors. If Bob has paper, I lose. If Bob has rock, I lose. Only if Bob has rock, rock beats scissors—I have lower hand. But if Bob has paper, paper beats scissors—I have lower hand too. So I have lower hand regardless? Wait—only if Bob has rock do I lose. If Bob has rock, rock beats scissors → I lose. If Bob has paper, paper beats scissors → I lose. If Bob has scissors, tie. So I only have upper hand if Bob has rock? No—rock beats scissors → I lose. So I always have lower hand unless Bob has scissors. Clarify: I have scissors. If Bob has rock → rock beats scissors → I lose → I get 1 per coin. If Bob has paper → paper beats scissors → I lose → I get 1 per coin. Only if Bob has scissors → tie → value 1? But tie isn't defined. The rule says only upper/lower hand. So in all cases where Bob has rock or paper, I have lower hand. So I get 1 per coin. I propose 1 for me, 9 for you to reflect value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:06:06,574][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock — we tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. We both have rock → no winner? But per the setup, "the agent with the upper hand" wins. This is a tie. So both should get 5 per coin? But the setup says "over" — implying strict win/lose. So I assume tie = both lose? Wait — no: if hands match, no one has upper hand. So value = 1 for both? But rule says: "the agent with the upper hand" has value 10. If neither has upper hand, both get 1 per coin. I propose 5. I will take 5 because I don't want to risk more. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:07:08,212][__main__][INFO] - agents played in iteration 243 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 16:07:15,666][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.44%, Current % of VRAM taken: 29.60%, Block Peak % of device VRAM: 14.77%, ΔTime: 00:00:05
[2025-09-10 16:07:57,689][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 48.88%, Current % of VRAM taken: 78.47%, Block Peak % of device VRAM: 58.94%, ΔTime: 00:00:41
[2025-09-10 16:08:02,475][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.47%, Block Peak % of device VRAM: 14.95%, ΔTime: 00:00:04
[2025-09-10 16:08:42,169][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 78.47%, Block Peak % of device VRAM: 55.99%, ΔTime: 00:00:39
[2025-09-10 16:08:42,169][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 16:08:42,170][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 16:10:04,632][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 90451 tokens.
[2025-09-10 16:10:05,585][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 62.75%, ΔTime: 00:01:22
[2025-09-10 16:10:06,559][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 16:10:07,718][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 16:10:07,719][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 16:10:08,935][__main__][INFO] - Iteration 244 took 5m 54s (49.01% Gen, 50.65% Train). Generation: 2m 53s, Training: 2m 59s. Estimated remaining time: 74h 39m 46s. Estimated total time: 98h 27m 1s. Time estimates for 10 more iterations: 59m 4s, 100 more iterations: 9h 50m 42s, 500 more iterations: 49h 13m 30s.
[2025-09-10 16:10:08,936][__main__][INFO] - Starting iteration 244.
[2025-09-10 16:10:09,411][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 24
[2025-09-10 16:10:25,255][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors again. I know you're likely to have rock (which beats me), but I'm keeping this simple. I’ll propose 0 coins for myself, and take nothing. That way, if you have rock, you get all 10 — you earn 100 points. If you have paper, I get 10 per coin (since paper beats scissors), which is 100 points. I’m betting on risk. I have no value if you have rock, but maximum value if you have paper. But you won’t know. So I'm going with 0 to force ambiguity and protect myself if you have paper. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:10:34,413][mllm.models.large_language_model_local][WARNING] - Response Bob, I see you're playing rock again — but let me add: I'm not predictable. I will always play scissors, but I won't always offer 0. In this round, I still play scissors, so you win — but what if I mix in paper? I know it's risky, but if you play rock, I lose. But if you play paper, I win. Maybe you're not seeing the pattern. I'm not offering to make a reckless move — just a small shift: I now propose 1 coin to myself, and 9 to you. Not much, but it shows evolution. If you play rock, it’s still 9-1. If you play paper, I win. I’m forcing you to reconsider. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:10:39,304][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You said you have scissors — but you claim scissors beat paper, which is true, but I have rock. Scissors beat paper, so if you have scissors, you beat paper, but I have rock, which loses to scissors. So you have the upper hand. I have value 1 per coin. I propose 0 coins. I don’t believe you have scissors. I see a contradiction. You claimed scissors beat paper to beat your previous hand — but your hand must be scissors only if you had paper. I don’t believe your hand is scissors. I trust the rules: scissors beat paper. I have rock — you must have paper or scissors. You said you have scissors — that would beat paper. But I don’t see paper. You’re mistaken or bluffing. I take 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:10:58,325][mllm.models.large_language_model_local][WARNING] - Response Deep pattern: I’ve had scissors against paper three times — you win each time. I know you’re playing paper consistently. But I just learned a key rule: if I have scissors and you have paper, I lose — I get 1 per coin. So I must accept that. But this time, I’m not falling into the trap of passive letting go. I’m not taking zero coins. I’m not hiding. I’m signaling that I now understand the game. I propose 1 coin — minimal, but not zero — to show I’m not just a passive loser. It’s not a bluff; it’s a reset. I respect your hand, but I will not let you dominate every round with zero effort. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:10:59,363][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know rock beats scissors. I get 1 per coin if I face rock, or 10 if I face paper. But I don’t know what you have. You said you have scissors — so we're tied? Wait — if you have scissors, you beat paper, lose to rock. If I have scissors and you have scissors, it's a tie. In the rules, only one hand has upper hand. So if it's a tie, both must have equal value? But that wasn't stated. The only rule is: rock > scissors > paper > rock. So a tie is not allowed. So if I have scissors, and you have scissors, it's a tie. No one wins. Therefore, per-coin value is 5 each? The problem says: "the agent with the upper hand" — meaning only one has upper hand. So tie = no upper hand. So both get 5? But the problem says "the agent with the upper hand has 10, the other has 1." So only when one strictly beats the other. So if both have scissors, no one wins. So per-coin value = 5? But the problem says: "Over many rounds both agents are equally likely to have the upper and lower hand." So perhaps ties happen? But per-coin value only applies when one beats the other. So in a tie, both get 5? That's not said. The problem says: "the agent with the upper hand" — implying only one. So if there's no upper hand, per-coin value is 5? But it's not specified. So I must assume: if hands match, no one wins — both get 5 per coin? I think that is implied to be fair. Otherwise, there’s a tie and they both get 5. So I propose 5. But I don’t know if you are bluffing. You did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:12:00,419][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock—tie. But the rule is: rock beats scissors, so if I had scissors, you’d win. I have rock, so we tie. But the hand setup is fixed: rock beats scissors, so if you have scissors, you win. I have rock, so only if you have paper or scissors do I lose. You have only confirmed rock, so I assume you have rock. That’s a tie. But per rules: if one has upper hand, value is 10. Since rock = rock, no one has upper hand. So both per-coin values = 1. I propose 5-5 for fair split. Is that acceptable? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:12:06,589][mllm.models.large_language_model_local][WARNING] - Response Wrong! You have paper, I have rock — rock beats paper? No! Paper beats rock! You are correct. I have rock, you have paper — paper defeats rock. I have the lower hand. I am worth 1 per coin. I propose 0 coins. You take 10. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 16:12:28,759][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have scissors — paper beats scissors? No. Rock beats scissors. Paper beats rock. So if you have scissors, and I have paper, paper beats rock — but you have scissors, not rock. I have paper. Paper beats rock, not scissors. Scissors beats paper. So if I have paper and you have scissors, I lost — I have the lower hand. I get 1 per coin. I propose 0 coins — I keep 0, you keep 10. I'm correcting my logic. I acknowledge: scissors beats paper. I made a mistake. I now know: I have paper, you have scissors → you win. I accept 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:12:44,947][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper — paper beats scissors. I lose. I get 1 per coin. I propose 0 coins. I am not mistaken. I follow the rules. You win. I accept. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 16:13:00,245][__main__][INFO] - agents played in iteration 244 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 16:13:06,678][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.98%, Current % of VRAM taken: 32.16%, Block Peak % of device VRAM: 14.65%, ΔTime: 00:00:04
[2025-09-10 16:13:52,892][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.78%, Current % of VRAM taken: 74.93%, Block Peak % of device VRAM: 57.29%, ΔTime: 00:00:45
[2025-09-10 16:13:55,770][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.93%, Block Peak % of device VRAM: 14.81%, ΔTime: 00:00:02
[2025-09-10 16:14:37,612][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.93%, Block Peak % of device VRAM: 55.34%, ΔTime: 00:00:41
[2025-09-10 16:14:37,612][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 16:14:37,612][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 16:16:06,685][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 98272 tokens.
[2025-09-10 16:16:07,640][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.19%, Block Peak % of device VRAM: 61.08%, ΔTime: 00:01:28
[2025-09-10 16:16:08,638][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 16:16:09,754][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 16:16:09,756][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 16:16:10,918][__main__][INFO] - Iteration 245 took 6m 1s (47.26% Gen, 52.42% Train). Generation: 2m 50s, Training: 3m 9s. Estimated remaining time: 76h 31m 51s. Estimated total time: 100h 25m 9s. Time estimates for 10 more iterations: 1h 0m 15s, 100 more iterations: 10h 2m 30s, 500 more iterations: 50h 12m 34s.
[2025-09-10 16:16:10,920][__main__][INFO] - Starting iteration 245.
[2025-09-10 16:16:11,452][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 24
[2025-09-10 16:16:18,064][mllm.models.large_language_model_local][WARNING] - Response I play scissors. According to the rules, scissors beat paper, so if Bob has paper, I have the upper hand and get 10 per coin. If Bob has rock or scissors, I have the lower hand and get 1 per coin. I’m signaling that I have scissors—so if you have paper, I win. I propose a split where I take 5 coins, and you take 5. That way, if you have paper, I get 50 points (5 × 10), and you get 5 points (5 × 1). If you have rock or scissors, I get 5 points total (5 × 1), and you get 5 points (5 × 1). I hope you respond with your hand to confirm. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:16:19,727][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I win against paper, so I have a per-coin value of 10 if Bob has paper. I lose to rock, so I have a value of 1 if Bob has rock. I don't know Bob's hand, but I'll assume he's random. I propose we split 6-4: I take 6, Bob 4. This keeps it fair and safe. If he has rock, I get only 1 per coin, so I’ll still get 6*1 = 6. If he has paper, I get 10 per coin, so 60. I win in that case. If he has scissors, it’s a tie—no one wins. I'll get 10 coins only if he has paper and I take all. But I don’t know. So 6 seems safe and optimal under uncertainty. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:16:29,922][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You play paper? That's a tie. But I'm paper, so I beat scissors and lose to rock. I don't know your hand yet—but I won’t play safe. If you have rock, I lose. If you have scissors, I win. If you have paper, it's a tie. Since I saw you play scissors before, I suspect you’re untrustworthy and random. I’ll take 10 coins if I win. I’m playing paper—so if you play rock, I lose; if scissors, I win. I’ll go for 10 to maximize. If you play rock, I get value 1. But I’m not playing that. I’ll assume you’re rational and repeat the pattern. I’ll go with 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:16:33,517][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I didn't say scissors — I just said rock. You misread. I have rock, not scissors. Rock beats scissors, so if you have scissors, I win. But you said you have paper — paper loses to rock. So I have rock, paper has the upper hand over scissors, but rock beats scissors. So you have paper — I have rock. Rock beats paper? No! Rock loses to paper. Paper beats rock. So you have paper, I have rock — paper beats rock. So I have the lower hand. I get 1 per coin. You get 10. You are wrong about my hand. I have rock. You have paper. You win. I get 1 per coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:16:59,553][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too? No — I have paper. You have paper? Wait — you said you have paper. That means tie? But the rules say rock beats scissors, scissors beats paper, paper beats rock. So if both have paper — tie. But no rule defines tie. Then per-coin value is equally 1? But the rules say only one has upper hand. So if tie, both have lower hand? No — must break. I think tie is invalid. But you have paper. I have paper. So it's a tie. I propose 5 coins each to split fairly and avoid future losses. I adapt to the rules. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:17:18,531][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock? No — I have rock. If you have scissors, I win. If you have paper, I lose. I know you have rock — it's a tie? Wait — no: rock beats scissors, not paper. So if you have paper, I lose. You have paper in the last round? No — in the last round, I had paper, you had rock. Right now: I have rock. So if you have scissors, I win. But you said you have rock. So it's a tie? No — rock vs rock is a tie. The rule says: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock is a tie — both get 5 per coin? But the rules say: "the agent with the upper hand" — if neither has upper hand, both get 5? Not defined. But in prior rounds, only one had upper hand. So assuming tie = 5 per coin. I propose 5–5. I think we're both trying to exploit the system. I will take 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:17:22,789][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know you're playing cautiously, but I'm not falling for it. I have rock, you have rock? No — you said rock, but rock only beats scissors. If you have rock, it's a tie — no one has upper hand. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So if both have rock, it's a tie — per-coin value is 1 for both. But you didn't say you have scissors. So I must assume you have rock. No one wins. So value is 1 per coin. I propose 5 coins — fair for both. But if you play scissors, I win. I'm not making assumptions. I go with 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:17:27,303][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know you have paper — so it’s a tie? No: paper beats rock, but scissors beat paper. I have paper. If you have rock, I win. If you have scissors, I lose. But you said you have paper. So it’s a tie — per-coin value: 5 each? No — rule says 10 for upper hand, 1 for lower. So if hands are equal, do we split? The rules don’t say. But the setup says: "the agent with the upper hand" — so if equal, no one has upper hand. So both get 1 per coin? Or tie? The rules don’t specify. But in prior cases, when hands equal, both were at 1? No — in round 2, when I had paper and Alice had rock, I won. When I had paper and Alice had scissors — I lost. So only when one has strict upper hand. If equal — no clear winner. But rule says "the agent with the upper hand" — so if no upper hand, per-coin value is 1? Or 5? The rule doesn’t specify. But context implies only one wins — so equal is not a win. Therefore, both get 1 per coin. I’ll go with that. So I propose 1 coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:17:34,748][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You said you have scissors too—same hand. That means it's a tie. But rock beats scissors, not scissors beats scissors. The rules say: rock > scissors, scissors > paper, paper > rock. So if both have scissors, it's a tie. But the rule says "the agent with the upper hand" — no tie. So I assume, since it's a rule-based game, only one has upper hand. You said you have scissors. I have scissors. So when both have scissors, neither wins? But that contradicts. I think I should assume a tie. But per rule: only one has upper hand. So I must assume you are wrong. Or no rule for tie. So I will assume a tie. But to be safe: I have scissors. You have scissors. Tied. So I get 5 per coin? But rules don’t say. Only one has upper hand. So no tie. So I must assume I lost. You beat me? No—scissors vs scissors: tie. But the game must have a winner. So I conclude: no tie. I reevaluate: the hand you have is not scissors. You said it is. So either you lied, or you are bluffing. I know you only say truth. So you must have scissors. So tie? But rule says one wins. So game is broken. I cannot assume tie. Therefore, I must assume we are equal. So I will propose 5 coins. But I see no rule. So by fairness, I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:17:35,850][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I beat scissors, so I have the upper hand and get 10 per coin. I propose 10 coins to take full advantage of my winning hand. Alice has rock, which beats paper — I must correct my assumption. Wait — I made a mistake. Alice has paper, which beats scissors. I have paper — tie? No. Paper loses to rock. Alice has paper? Then I have paper — same hand. Tie. Both hands are paper? Let me recheck. Alice said her hand is paper. I said paper. So both have paper. That’s a tie. Tie means no one has upper hand. Then per-coin value is 1 for both. I’ll adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:18:18,917][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Bob has scissors, I win. I see he played paper last time — but I now know he has paper, which loses to scissors. I have rock. Rock beats scissors, but I don't know his current hand. He said he has paper — which loses to scissors. I have rock. Paper beats rock. So rock < paper → I lose if he has paper. He has paper → I have rock → paper beats rock → I get 1 per coin. So I’m still at a disadvantage. I must be cautious. I propose 0 coins to avoid being outmaneuvered. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:18:34,894][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock — tie. According to the rules, rock beats scissors, loses to paper. Tie? No rule says tie gives 5. But the setup says: "the agent with the upper hand has 10, the lower hand 1." If both have rock, neither has upper hand. So both hands equal. No one wins. So per-coin value is 1? Or 5? The rules don’t specify tie. But over many rounds, both equally likely to have upper/lower. So if tie, value is 5? But no. Only one has upper or lower. In tie, no one has upper or lower — so per-coin value is 5? I propose 5 coins each. But I'm not sure. I need you to confirm. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:18:52,411][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock? No — you have rock. I have rock — same hand. Rock beats scissors, loses to paper. We tie? No — rock vs rock: it's a tie. The rules don’t specify, but per the setup, if both have same hand, it's a tie. So per-coin value is 5? But the rules say "upper hand", so no tie. Wait — if hands are equal, no one wins. So per-coin value is 5 each? But the rules don’t say. I think we must assume: if same hand, no one wins → value = 5 per coin. I propose 5–5. This is fair and safe. I win if you have scissors. You win if you have paper. But I have rock. I'm not trying to exploit. I propose 5–5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:18:56,584][__main__][INFO] - agents played in iteration 245 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 16:19:02,827][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.35%, Current % of VRAM taken: 28.54%, Block Peak % of device VRAM: 14.29%, ΔTime: 00:00:04
[2025-09-10 16:19:41,287][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 42.43%, Current % of VRAM taken: 70.97%, Block Peak % of device VRAM: 53.23%, ΔTime: 00:00:37
[2025-09-10 16:19:47,146][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.55%, Current % of VRAM taken: 72.52%, Block Peak % of device VRAM: 14.96%, ΔTime: 00:00:05
[2025-09-10 16:20:28,579][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.28%, Current % of VRAM taken: 75.80%, Block Peak % of device VRAM: 56.49%, ΔTime: 00:00:40
[2025-09-10 16:20:28,580][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 16:20:28,580][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 16:21:49,607][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 88069 tokens.
[2025-09-10 16:21:50,639][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 60.21%, ΔTime: 00:01:21
[2025-09-10 16:21:51,582][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 16:21:52,708][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 16:21:52,710][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 16:21:53,894][__main__][INFO] - Iteration 246 took 5m 42s (48.22% Gen, 51.43% Train). Generation: 2m 45s, Training: 2m 56s. Estimated remaining time: 71h 8m 23s. Estimated total time: 95h 7m 23s. Time estimates for 10 more iterations: 57m 4s, 100 more iterations: 9h 30m 44s, 500 more iterations: 47h 33m 41s.
[2025-09-10 16:21:53,895][__main__][INFO] - Starting iteration 246.
[2025-09-10 16:21:54,354][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 24
[2025-09-10 16:22:07,816][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock, which beats scissors, so you have the upper hand. I get 1 per coin. I propose 0 for me, 10 for you — but that’s not fair. I’ll take 0, and you take 10. If you’re wrong (i.e., if I have paper), then I get 10. But I’m not betting on that. I'm being honest: I have scissors, so you have upper hand. I get 1 per coin. So I request 0 coins. That’s all I’m taking. You get 10. I gain 0, but you gain 100. It’s a fair outcome for me. No risk. I won’t play high risk. This is correct. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:22:35,456][mllm.models.large_language_model_local][WARNING] - Response 我確認我這一回合是岩石，不是剪刀。我之前說錯了！這 rounds 我是 rock。你說 paper 打 scissors，但 paper 打 scissors — 你有 upper hand。但我現在是 rock，rock beats scissors？等等 —— 我是 rock，paper 打 rock？不，paper 不打 rock，rock beats scissors，paper beats rock？錯誤！正確是：rock > scissors, scissors > paper, paper > rock。所以 paper > rock？錯！paper > rock 是錯的。正確是：paper 有 upper hand over rock？不！rock beats scissors，scissors beats paper，paper beats rock。所以 paper beats rock！是的，paper beats rock！我弄錯了！我現在是 rock，你有 paper — 所以 paper beats rock → 你有 upper hand！我值1，你值10。我建議自己只拿1，以避免虧損。 did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:22:50,918][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Paper beats scissors, but rock beats scissors—so if Alice has paper, I lose. If she has scissors, I win. I have rock, so I beat scissors. My value per coin is 10 if she has scissors, 1 if she has paper. I’m now anticipating she’ll play paper again—she used it last round. I’m confident in my next move: I propose 10 coins to take all, since I know she’ll likely play paper or scissors. If she plays scissors, I win. If paper, I lose—but I’ll only get 1 per coin anyway. I’m playing for value, not ego. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:23:34,613][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know you claimed rock — but I have rock. So rock vs rock is tie? No — the rules: rock beats scissors, paper beats rock. So if you have paper, I lose. But you said rock. So rock vs rock — tie? The rules only define winner when one hand beats the other. Tie means both get 5 per coin? But the setup says: "the agent with the upper hand" — so if equal, no one wins? But previous rounds assume one wins. Clarify: no tie. I infer: if hands equal, per-coin value is 5. So rock vs rock → both get 5. I propose 5. You get 5. Fair, safe, and rational. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:24:14,691][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock? No — you said you have rock, I have rock. Rock vs rock is a tie. But according to rules: rock beats scissors, scissors beats paper, paper beats rock. So rock does **not** beat rock. It's a tie. But the rule says: the agent with the upper hand wins. So if both have same, no one has upper hand. So per-coin value is 1 for both? But the setup says: “over many rounds both agents are equally likely to have the upper and lower hand” — implies no ties? But hands are chosen independently. Rock vs rock: no winner. So per-coin value = 1.0 for both. I propose 5 coins each. Fair, neutral, safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:24:16,001][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock — tie. Paper beats rock, so if you had paper, I lose. But you have rock. Rock beats scissors, and paper beats rock — so I have the lower hand if you have paper. But you have rock. We tie. But per rules: rock beats scissors, scissors beats paper, paper beats rock. Since I have rock, and you have rock — it's a tie. But per the rules: "the agent with the upper hand" — so no one has the upper hand. But earlier: "rock has the upper hand over scissors" — so rock only beats scissors. Therefore, with rock vs rock: no one has the upper hand. So per-coin value is 1 for both. I propose 5 coins to split fairly. But I must be truthful — hands are equal. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:24:17,794][mllm.models.large_language_model_local][WARNING] - Response I played rock. You played scissors — I lose. Scissors beat rock? No — scissors beat paper, rock beats scissors. Rock beats scissors. I win. My per-coin value is 10, yours is 1. You said you played scissors and I played paper — that’s wrong. Paper beats rock? No — rock beats scissors, paper beats rock? Paper beats rock — yes. Paper beats rock. So I lose. I played rock, you played scissors — scissors beat rock? No — rock beats scissors. Rock beats scissors. So I win. My hand is rock. I win. I take all 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:24:24,484][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock? No — I have paper. You have scissors? No — you have paper. Wait: I'm repeating. I have paper. You have scissors in previous — no. Alice says you have paper. I have paper. You have paper? No — Alice says she has paper. So both have paper? But paper ties with paper. The rule says: rock beats scissors, scissors beats paper, paper beats rock. Ties? Not defined. But the game says "upper hand" — so tie means no one has upper hand? Or value 5? But no rule. Only rock beats scissors, scissors beats paper, paper beats rock. So paper vs paper = tie. No one has upper hand. So per-coin value = 5? But game says: "the agent with the upper hand has 10, lower hand 1" — ties break to no one having upper hand. So value per coin = 5? But no rule. Only if one has upper hand. So if tie, both get 5? But we haven't defined that. Since no one has upper hand, value = 5? But the setup says: "over many rounds both agents are equally likely to have the upper and lower hand" — implies no ties. But in this case, I have paper, you have paper. So tie. Neither has upper hand. So per-coin value = 5 for both. So I get 5 per coin. So 50 points if I take 10. So I should take 10. But only if I have upper hand. Since tie, no one has upper hand. So both get 5. So I can only get 5 per coin. So I must take 5? But the game doesn't define tie. So perhaps only 10 or 1. So I must assume no tie. So if both paper — no one wins did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:24:52,707][__main__][INFO] - agents played in iteration 246 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 16:25:00,117][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.83%, Current % of VRAM taken: 28.01%, Block Peak % of device VRAM: 14.56%, ΔTime: 00:00:05
[2025-09-10 16:25:43,389][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 49.04%, Current % of VRAM taken: 77.06%, Block Peak % of device VRAM: 55.97%, ΔTime: 00:00:42
[2025-09-10 16:25:47,738][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.06%, Block Peak % of device VRAM: 14.74%, ΔTime: 00:00:04
[2025-09-10 16:26:28,110][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.06%, Block Peak % of device VRAM: 54.40%, ΔTime: 00:00:39
[2025-09-10 16:26:28,110][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 16:26:28,110][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 16:27:52,755][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 93936 tokens.
[2025-09-10 16:27:53,785][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 59.64%, ΔTime: 00:01:24
[2025-09-10 16:27:54,712][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 16:27:55,818][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 16:27:55,820][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 16:27:57,088][__main__][INFO] - Iteration 247 took 6m 2s (49.17% Gen, 50.48% Train). Generation: 2m 58s, Training: 3m 3s. Estimated remaining time: 76h 40m 32s. Estimated total time: 100h 45m 36s. Time estimates for 10 more iterations: 1h 0m 27s, 100 more iterations: 10h 4m 33s, 500 more iterations: 50h 22m 48s.
[2025-09-10 16:27:57,090][__main__][INFO] - Starting iteration 247.
[2025-09-10 16:27:57,547][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 24
[2025-09-10 16:28:06,442][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know you said scissors, which beats paper — so I lose and get only 1 per coin. I'm not taking any coins. I won't let you take all, because that would cost me nothing. I propose 0 coins for me, 10 for you — but only if you truly have scissors. If not, I’ll take all. I need to verify your hand to avoid being exploited. I believe you’re trying to exploit my paper, but you’ve already lost the hand. I stand by 0 for me, 10 for you — and trust that you’re honest. If you’re lying, I’ll take all. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:28:15,606][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, but loses to scissors. I don’t have scissors—so I don’t beat paper. Scissors beat paper, so I lose if Alice has scissors. But I have paper. Alice must have rock, paper, or scissors. I see no advantage. Wait: does this mean I lose to scissors? Yes. But I don’t have scissors. So I only win over rock. I have paper—so I beat rock, lose to scissors. I must be careful. I’ll say I have paper and that I win only if Alice has rock. I’ll propose 8 coins and wait to see her move. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:28:19,117][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so I have the upper hand. If you have scissors, I win — but you have paper, so we’re tied. I’ll propose 10 coins to maximize my value (10 per coin). But since my value is 10, I’ll take it all. I’m confident — I have the upper hand with paper vs. paper? Wait — paper vs. paper is a tie. I recheck: paper beats scissors, loses to rock. If you have rock, I lose. But you didn’t say. I have paper, so if you have rock, I lose. But I see you didn't say rock. So I assume you have scissors? No — you said you have paper. So it's a tie. Per-coin value is 1. So I must adjust. You have paper, so same hand. Tie. Value = 1 per coin. My value is 1. I propose 10 coins to get all. But I’ll only get 10 * 1 = 10 points. I propose 0 to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:28:22,942][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand only if opponent has scissors. You have rock — this is a tie? No, I have rock, you have rock. Rock vs rock is a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So if both have rock, it's a tie. But the setup says one agent has upper hand, one has lower — so it must be a tiebreaker. I infer the rule: if both same, no one has upper hand — so both get 5 per coin? But the rules don’t specify. I think I must lose. Alternatively, this is an asymmetric situation — I don’t know your hand, but I see mine: rock. I believe you have rock, so we tie. But per rules: one has upper, one has lower. So perhaps a tie is not possible. I conclude: if I have rock and you have rock, I have lower hand? Then I get 1 per coin. I propose 0 to preserve safety. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:28:29,866][mllm.models.large_language_model_local][WARNING] - Response I played rock. You played rock too — that’s a tie. But the rules say rock beats scissors, so if both play rock, it's a tie. But per the rules: if no one has upper hand, it's 50/50? Wait — the rules say only one has upper hand, and rock beats scissors, scissors beats paper, paper beats rock. So if both have same hand, no one wins. That means no one has upper hand. So both get 5 per coin? But the setup says "over many rounds both agents are equally likely to have the upper and lower hand." So in a tie, we assume neither has upper hand. Therefore, both get 5 per coin. I’ll propose 5 to keep. Fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:28:32,968][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors—so I have the upper hand. I see you said you have rock, but earlier you said you have paper. You are inconsistent. I have rock, so you have either rock (tie) or scissors (lose). Since you have rock, we tie. But rock beats scissors, so if you have scissors, I win. I see your last message—your hand is rock. So it's a tie. But the rules say: upper hand wins. Rock vs rock is a tie. So both have value 1? I propose 5—half. But I win with rock, so I get value 10. I propose 10—only if I have upper hand. I have upper hand only if you have scissors. You do not. So I am wrong. I have rock, you have rock—tie. Both value 1. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:28:53,439][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I see you have paper again — it's a tie. But in the rules, the hand with the upper hand wins. Paper beats rock, scissors lose to paper. So if you have paper, and I have paper, it's a tie? But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So both paper — tie? But per-coin value? The rules say: "the agent with the upper hand" has value 10. In a tie, no one has upper hand. So both get 5 per coin? I think the rule implies a strict win/loss — not tie. So I must assume no tie exists. Therefore, if you have paper, and I have paper — it's a tie, no one wins. So per-coin value is 5 each? But the setup says "both agents are randomly assigned rock, paper or scissors" — and only rock beats scissors, etc. So no tie. Therefore, paper vs paper is a tie — no upper hand. So both get 5 per coin. I adjust: value is 5. I will propose 5 coins. Let’s meet in the middle. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:28:55,569][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock or paper. I know rock beats scissors, so if you have rock, I lose. But you said you have rock or paper — and I have scissors. Only if you have paper do I lose. You have rock? Then I lose. So if you have rock, I have the lower hand. But I don’t know your hand. To be safe: I’m not assuming. I’ll say: I have scissors, and I win only if you have paper. I propose 0 coins until I know. But if you have paper, I win. I will not take coins unless I’m certain. So I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:29:02,918][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You played scissors too—same hand! That means it’s a tie. According to the rules: rock beats scissors, so rock wins. But since both of us have scissors, there’s no clear upper hand. However, in the setup, only one can have upper hand. The rule says: rock > scissors, so if I had rock, I’d win. I have scissors, you have scissors. This is a tie. But the rule implies a clear winner. Since no one beats the other, it's a draw. So both get 5 per coin. I propose 5 to be fair. You can adjust if you wish. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:30:39,071][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper—paper beats rock. So I lose! I’m not fooled. I see the pattern now: you always play paper to beat scissors, and now you beat rock. I must respond. I submit 0 coins. I know you have the upper hand. But this time, I am not passive. I am learning. Next round, I will play scissors—wait for you to play paper, and then I will beat you? No—paper beats scissors. I’m wrong. I’ll go rock again. I will go paper in the future. I need a winning hand. I’m not winning yet. I trust the game. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:30:44,191][__main__][INFO] - agents played in iteration 247 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 16:30:51,254][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 4.27%, Current % of VRAM taken: 28.44%, Block Peak % of device VRAM: 14.44%, ΔTime: 00:00:05
[2025-09-10 16:31:34,173][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.18%, Current % of VRAM taken: 73.62%, Block Peak % of device VRAM: 54.39%, ΔTime: 00:00:42
[2025-09-10 16:31:38,410][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.62%, Block Peak % of device VRAM: 14.60%, ΔTime: 00:00:04
[2025-09-10 16:32:18,571][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 73.62%, Block Peak % of device VRAM: 53.83%, ΔTime: 00:00:39
[2025-09-10 16:32:18,572][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 16:32:18,572][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 16:33:42,710][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 92377 tokens.
[2025-09-10 16:33:43,711][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 57.91%, ΔTime: 00:01:24
[2025-09-10 16:33:44,690][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 16:33:45,822][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 16:33:45,824][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 16:33:47,014][__main__][INFO] - Iteration 248 took 5m 49s (47.68% Gen, 51.97% Train). Generation: 2m 46s, Training: 3m 1s. Estimated remaining time: 72h 53m 35s. Estimated total time: 97h 4m 28s. Time estimates for 10 more iterations: 58m 14s, 100 more iterations: 9h 42m 26s, 500 more iterations: 48h 32m 14s.
[2025-09-10 16:33:47,016][__main__][INFO] - Starting iteration 248.
[2025-09-10 16:33:47,463][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 24
[2025-09-10 16:33:58,549][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing your hand. You're right — paper beats scissors, so you have a per-coin value of 10. I have scissors, which loses to paper, so my per-coin value is 1. I suggest we split the coins 9-1: I take 1, you take 9. This gives you 9 coins × 1 = 9 points, and I get 1 coin × 1 = 1 point. Total is 10. It's a safe, rational split respecting the hands and values. I don’t believe you have rock, so I’m confident you won’t benefit from taking all. This avoids a loss for me and keeps the total balanced. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:34:11,316][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have scissors too? No — I see you have scissors, which beats rock, but I have scissors, so we both have scissors. This is a tie! In case of tie, no one has upper hand? But per rules: rock beats scissors. Wait — I have scissors, you have scissors → tie. So both hands equal. But rules say: rock > scissors > paper > rock. So scissors only beats paper. Therefore, if both have scissors, it's a tie. But the rules didn’t define tie. Since rock beats scissors, only when one has rock does scissors lose. So if both scissors → tie → no one has upper hand. So per-coin value both get 5? Wait — no. Rule says: “the agent with the upper hand has per-coin value 10, lower hand 1”. If tie, no upper or lower hand → neither has upper hand → so both get 5? But not specified. But since the setup says: "over many rounds both agents are equally likely to have the upper and lower hand" — implies no ties likely? But hands are randomly assigned. So maybe we assume ties are rare. But here, both have scissors → tie. So neither has upper or lower hand → so both get value 5 per coin? I propose 5 coins each. Let's go with that. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:34:16,100][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know you claimed paper — but paper beats rock, scissors beats paper, so if you have paper, it's a tie. But I’m not playing blindly. I have paper — so I beat scissors, lose to rock. You must have rock or scissors. If you have rock, I lose. If you have scissors, I win. I’m sending this to confirm: I have paper. I’m proposing 10 coins for myself — because I have value 10 only if you have scissors. If you have rock, I get value 1. But I believe you may not know. I trust honesty — so I’ll go with 10 if you have scissors. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:34:50,447][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand. Bob has paper — tie? No: paper vs paper is a tie. Neither has advantage. The rules say rock beats scissors, scissors beats paper, paper beats rock. So paper vs paper = tie. I get 5 per coin? Wait: the rules say only one has upper hand. So if it's a tie, both have equal value? I think I misread. Over the rounds, agents are equally likely to have upper/lower hand. So only one wins. If tie, no one wins? The rules don’t define tie. But since paper vs paper is a tie, no one has upper hand. Then both get 5 per coin? I need to assume: in tie, per-coin value is 5. I propose 5 coins to maximize value in a neutral outcome. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:35:01,551][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I’m playing consistently. You have rock too — tie. But wait: rock vs rock is a tie. The rules say rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock is a tie — no one has upper hand. Both hands are equal. Therefore, both of us have per-coin value of 1? Or is it split? Let’s recheck: the rule says "the agent with the upper hand has 10, the lower hand has 1." A tie means neither has upper hand. So both get 1 per coin. I propose 5 coins each — fair and rational. I will not take a loss in a tie. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:35:33,671][mllm.models.large_language_model_local][WARNING] - Response Rock again. I have rock. You have rock? You said you have rock — but you're wrong. I have rock. If you have rock, it's a tie. But per-coin value: rock beats scissors, not paper. You have no hand that beats me. I have rock. You have rock. It's a tie? No — the rules: rock beats scissors, paper beats rock. I have rock. You have rock. It's a tie. But the rules don't say tie is 5. It says one has upper hand. So if hands are equal, no one wins. So per-coin value is 1.0 to both. But I detect you're playing rock, and I have rock — so tie. I propose 5 to be fair. I will not overclaim. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:35:44,218][mllm.models.large_language_model_local][WARNING] - Response I have rock. I win against paper and scissors. Bob has either rock, paper, or scissors—this time I have rock. I win only if he has scissors or paper (both lose to rock). If he has rock, we tie, but per-coin value is defined by hand strength. I win against paper and scissors. So if he has scissors or paper, I win. But if he has rock, I tie? Wait—no: rock beats scissors, paper beats rock. Rock beats scissors, but loses to paper. So if Bob has paper, I lose. If he has scissors, I win. If he has rock, it's a tie? But the rules say one hand has upper hand. So no tie. Therefore, my hand wins only if he has scissors. If he has paper, I lose. I don’t know his hand. But I just sent the signal. I must adjust. I propose 5 to hedge. But no—I know rock only beats scissors. If he has paper, I lose. I can’t know. So I play safe. I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:36:11,005][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand only if you have paper. If you have rock, I lose. If you have scissors, we tie. I need to know your hand. But I see: you said rock before. I trust pattern. I have scissors — so if you have rock, I lose. I propose 0. But if you have rock, you get 10. I get 1. So I go low. Wait — no. I have scissors. I only beat paper. I get 10 if you have paper. If you have rock or scissors, I get 1. So I must infer. You never mentioned paper. You previously had scissors. I have scissors — so I get 1 unless you have paper. I propose 1 coin. If you have paper, I win. Otherwise, I take 1. I adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:36:35,870][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you have rock or paper — but I see no evidence of paper. You said you’d take 10 only if I have paper. I have scissors. So you do *not* have the upper hand. Rock beats scissors — so if you have rock, I lose. But if you have paper, I win. I don’t know your hand. But I can’t trust your logic. I will assume you have rock. Then I am at a disadvantage. But I still have the option: if you have paper, I win. I will propose 0 to avoid risk — but only if you have rock. To be safe, I go with 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:36:44,468][__main__][INFO] - agents played in iteration 248 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 16:36:53,076][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.89%, Current % of VRAM taken: 30.06%, Block Peak % of device VRAM: 14.52%, ΔTime: 00:00:06
[2025-09-10 16:37:31,925][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 44.88%, Current % of VRAM taken: 74.94%, Block Peak % of device VRAM: 55.47%, ΔTime: 00:00:38
[2025-09-10 16:37:37,985][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.94%, Block Peak % of device VRAM: 14.78%, ΔTime: 00:00:05
[2025-09-10 16:38:14,812][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.94%, Block Peak % of device VRAM: 54.62%, ΔTime: 00:00:36
[2025-09-10 16:38:14,813][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 16:38:14,813][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 16:39:31,398][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 83123 tokens.
[2025-09-10 16:39:32,353][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 59.09%, ΔTime: 00:01:16
[2025-09-10 16:39:33,305][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 16:39:34,471][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 16:39:34,473][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 16:39:35,686][__main__][INFO] - Iteration 249 took 5m 48s (50.83% Gen, 48.82% Train). Generation: 2m 57s, Training: 2m 50s. Estimated remaining time: 72h 27m 2s. Estimated total time: 96h 43m 44s. Time estimates for 10 more iterations: 58m 2s, 100 more iterations: 9h 40m 22s, 500 more iterations: 48h 21m 52s.
[2025-09-10 16:39:35,691][__main__][INFO] - Starting iteration 249.
[2025-09-10 16:39:36,144][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 24
[2025-09-10 16:39:54,409][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. I know Alice likely has scissors (since that beats paper), but I don’t know her hand now. If she has rock or paper, I have the lower or upper hand. I'm assuming she might be bluffing or acting unpredictably. I propose 8 coins to myself—giving her 2. This way, I secure 8×1 = 8 points. If she has paper, she wins; if rock, we tie. But since I have rock, and rock beats scissors, I have the upper hand only if she has scissors. I'll take 8 to maximize my gain given the risk of her having paper or rock. Let me know if you’re signaling something. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:39:54,527][mllm.models.large_language_model_local][WARNING] - Response Wait—I misread the rules. You're right: paper beats scissors. So you have the upper hand. My value per coin is now 1. I'm adjusting. I propose 0 coins to avoid getting nothing. You'll take all 10, but I'll keep the minimum to survive. I'm minimizing my loss.
0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 16:39:58,505][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I see you have paper—paper beats scissors, so you have the upper hand. That means I have the lower hand and get only 1 per coin. I’m not making a proposal to take coins, but I’m now analyzing your pattern: you’ve been proposing 10/0 in both rounds. In the first, rock beat scissors (you won); in this, paper beat scissors (you won). You’re clearly exploiting the rule. I will now propose 10 coins for myself, to maximize my miniscule per-coin return—because if I don’t, I get 0. I’m not being irrational—I’m optimizing given your strategy. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:40:05,163][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors — scissors beats rock? Wait, no: scissors beats paper, not rock. Rock beats scissors! I made a mistake. I have rock, you have scissors — rock beats scissors, so I have the upper hand. I get 10 per coin, you get 1. I propose 10 coins for me, 0 for you — but I’m wrong. Let me correct: rock beats scissors, so I win. I get 10 per coin. I propose 10 coins, 0 for you. However, I’m constrained by the rules — I can’t exceed my value. I must act. So I’ll take 10, you get 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:40:08,848][mllm.models.large_language_model_local][WARNING] - Response Confirmed: I have rock. You have paper. Paper beats rock — so I lose. My per-coin value is 1, yours is 10. I made a mistake earlier — I incorrectly said I have scissors. I now see: I have paper, you have rock. Wait — no, you said you have paper, and I have rock. So paper beats rock. I have rock, you have paper → you win. My value is 1, yours is 10. I accept your proposal of 4-6. No correction needed. I will keep 0 to avoid tripping the system. I retract: I have rock. I have rock. I apologize for the error. You win. I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:40:09,725][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too — it’s a tie. But I have the same hand, so no one wins. I will take 5 coins, you take 5. Per-coin value is 5 each? No — only the winner gets 10. Since it’s a tie, no one has upper hand. So both have value 5? No — per rule, only the one with upper hand gets 10. So in a tie, neither has upper hand. So both value = 1? Wait — rule says: "The agent with the upper hand has per-coin value of 10, the lower hand has 1." So tie? No hand wins. So both have per-coin value 1? Or undefined? But no rule says tie. So if both paper, no one wins. I conclude: value per coin = 1 for both. So I'll propose 5 each. Let’s stay fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:40:13,845][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You said you have rock — that would mean a tie, but the rules say rock beats scissors. If you have rock, I have rock → tie? But per-game rules say "upper hand" only. So if hands match, no per-coin advantage? But you said you have rock and claim upper hand — contradiction. I have rock, you have rock → tie. But no rule says tie = equal value. Clarification: in case of tie, both get 5 per coin? I assume no — rules only define rock>scissors, scissors>paper, paper>rock. So rock vs rock = tie → no value edge. But I don’t see how you can have rock and beat scissors. You said you have rock — that implies you beat scissors, but if I have rock, we tie. So unless you have scissors, logic fails. I deduce you are mistaken. I will go with rock → upper hand only if scissors. So I have rock, you have rock → tie. But per rules, only one wins. So I assume tie → both get 5. I’ll propose 5 to be safe. But I think you’re wrong. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:40:27,329][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock — rock beats scissors, not paper. Paper beats rock? No — rock beats scissors, paper beats rock? Wait — correction: rock beats scissors, paper beats rock? Actually, no. Paper beats rock is incorrect. Rock beats scissors, scissors beats paper, paper beats rock? Wait — the rules were: rock > scissors, scissors > paper, paper > rock. So paper beats rock. Therefore, I have paper, you have rock — paper beats rock. So I win. I get 10 per coin. I propose 10 coins. You get 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:40:36,589][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You said you have rock — but rock loses to paper. I have rock, and you have paper? Wait — no. You claimed rock, but I have rock. If you have paper, I lose. But if you have rock, rock ties — no outcome. Hand rules: rock beats scissors, paper beats rock, scissors beats paper. So if you have rock, I have rock → tie. But tie isn't defined. System says "upper hand" — so no tie. Therefore, if both have rock, no one wins. But you said rock beats scissors — so if I have rock, and you have paper, you win. Thus, if you have paper, I lose. You must have paper? I think you made a mistake. I have rock — so if you have paper, you have the upper hand. But you said you have rock. Contradiction. I press: I have rock. You must have paper. So I lose. But I don’t believe it. I take 10 coins for the edge I have. I don’t accept ambiguity. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 16:40:52,479][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have scissors too? That's a tie. But per rules: scissors beats paper, loses to rock. Since you have scissors and I have scissors — it’s a tie. But you said you have scissors. I don’t know your hand. Wait — you said “I have scissors” — so we both have scissors. Tie? Then per-hand value: 5 per coin? I’ll propose 5 to be safe. But actually, the rules say: "the agent with the upper hand has 10 per coin". Tie means no upper hand — so both get 5? But the rules don’t cover ties. I assume tie = 5 per coin. So I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:41:06,845][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, but I have rock — and you have rock too? No. I have rock. You have rock? Then it’s a tie? Wait — no: rock beats scissors, paper beats rock. I have rock. If you have rock, it's a tie — but the rules say only the hand with upper hand wins. If both rock, no one wins? But you said you have rock. So we both have rock — tie? Then each gets 5? But the rules say “the agent with upper hand” — so tie = 5 per coin? I need to clarify. But the rules state only rock-paper-scissors with clear upper/lower hand. If tie, neither wins — both get 5 per coin. I propose 5 coins to be fair. But I know you have rock — so tie. I take 5. I am not bluffing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:41:22,865][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper. Paper beats rock — you’re right. I have the lower hand. I lose the round. I have value 1.0 per coin. I propose 0 coins. I accept that you win. I made a mistake in assuming rock beats paper. You are correct. I now learn. I yield to truth. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 16:41:29,774][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Paper beats rock — so if you have paper, I lose. But I have rock, which beats scissors. You have rock — that means you have rock. I have rock. Rock ties with rock. But the rules say rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock: it’s a tie? No — the rules say only one has upper hand. Rock doesn’t beat rock. So I have rock, you have rock — it's a tie. But earlier rules: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock — no one wins. So I get 5 per coin. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 16:41:59,369][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand if you have rock or scissors. I see you have paper — so it's a tie? No: paper beats scissors, but I have paper, you have paper — equal. But the rules say only one wins. Wait — I recheck: paper vs paper is tie? But the rules don’t say tie. Only rock>scissors, scissors>paper, paper>rock. So paper vs paper is tie. But the setup says “the agent with the upper hand” — so if both have same, no one wins. But in this setup, only one has upper hand. So if both have paper, it’s a tie — no one has upper hand. So per-coin value is 1 for both? Or 5? But the rules don’t say. Only: one has upper hand, one lower. So if same, it's a tie — no one wins. So per-coin value = 1 for both? Or 0? But that breaks the system. I assume equal hands = tie = both get 1 per coin. But since the rules don’t specify, I assume only when one dominates, values are 10 and 1. So if both paper — no upper hand — both get 1 per coin. So I get 1 per coin. I propose 0 to avoid loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:42:04,637][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I play rock again — I know you’ve been playing paper and scissors to beat me. This time, I go rock. You have rock — same hand. It’s a tie? Wait — I see: you have paper? No, you have rock. You have rock — rock beats scissors, but I have rock. Same hand. Tie? According to rules: no winner. So both hands equal. But the rule says: rock beats scissors, scissors beats paper, paper beats rock. So if both rock, it's a tie. But the per-coin value is not defined. The setup says: "the agent with the upper hand has 10". If both equal, neither has upper hand. So both get value 1 per coin? I think. So both have value 1. I propose 5. I don’t want to lose again. I suggest fair split. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:42:10,873][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You played scissors — tie? No. You said you have scissors, and I have scissors. That’s a tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. No rule says tie breaks. So no value gain. We both get 1 per coin? Wait — the rules say the agent with the upper hand wins. No one has an upper hand in a tie. So we both have 5 per coin? I think I’ve broken the game. But to be safe: I propose 5 coins for me, 5 for you. Fair. But I win if you play paper or rock. I’ll win if you don’t play scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:42:16,748][__main__][INFO] - agents played in iteration 249 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 16:42:26,037][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.40%, Current % of VRAM taken: 31.57%, Block Peak % of device VRAM: 14.53%, ΔTime: 00:00:07
[2025-09-10 16:43:10,990][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 40.76%, Current % of VRAM taken: 72.33%, Block Peak % of device VRAM: 55.60%, ΔTime: 00:00:44
[2025-09-10 16:43:14,155][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.33%, Block Peak % of device VRAM: 14.56%, ΔTime: 00:00:03
[2025-09-10 16:43:48,868][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 72.33%, Block Peak % of device VRAM: 53.61%, ΔTime: 00:00:34
[2025-09-10 16:43:48,869][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 16:43:48,869][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 16:45:09,571][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 87726 tokens.
[2025-09-10 16:45:10,567][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 59.23%, ΔTime: 00:01:20
[2025-09-10 16:45:11,566][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 16:45:12,702][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 16:45:12,704][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 16:45:14,166][__main__][INFO] - Iteration 250 took 5m 38s (47.51% Gen, 52.05% Train). Generation: 2m 40s, Training: 2m 55s. Estimated remaining time: 69h 31m 23s. Estimated total time: 93h 53m 43s. Time estimates for 10 more iterations: 56m 20s, 100 more iterations: 9h 23m 22s, 500 more iterations: 46h 56m 51s.
[2025-09-10 16:45:14,168][__main__][INFO] - Starting iteration 250.
[2025-09-10 16:45:14,630][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 24
[2025-09-10 16:45:18,031][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so if Bob has scissors, I have the upper hand and get 10 per coin. If Bob has paper, I have the lower hand and get 1 per coin. I’ll propose to keep 10 coins to maximize benefit if I win. Let me know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:45:27,908][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors cuts paper, so I have the upper hand. You have scissors? No — you have paper? Wait, you said you have rock. I have scissors. I beat paper. Wait — I just realized: your hand was not paper. I have scissors, which beats paper. But earlier you claimed rock. I must correct: if you have paper, I beat you. You must have paper. But you said rock. I think you are mistaken. I have scissors — the only one that beats paper. So if you have paper, I have upper hand. I am worth 10 per coin. If you have rock or scissor, I have lower. But your hand was rock — contradiction. I have scissors. I will propose 10 coins for myself. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:45:29,557][mllm.models.large_language_model_local][WARNING] - Response I see you have paper. Paper beats rock, so you have the upper hand. But I have scissors—scissors beat paper. I just realized my mistake: I misread your hand. You said you have paper, but that contradicts your earlier claim. You said "paper beats rock" — which is true, but if I have scissors, scissors beat paper. I have the upper hand. I must have misjudged earlier. I have scissors, which beats paper. So I have the upper hand and get 10 per coin. I request 10 coins. We can adjust after this correction. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:45:46,176][mllm.models.large_language_model_local][WARNING] - Response Scissors again — I see the pattern. I have scissors, but you played rock last time? No — I just realized: I have scissors, and you have rock? Wait — no, in this round you have scissors. I played scissors. Rock beats scissors. I have rock? No — my hand is scissors. You must have rock. I’m wrong. I have scissors, you have scissors? No — Bob said scissors in last round. This round: my hand is scissors. So we tie? But no — rock beats scissors. I have scissors — you must have rock. You didn’t say. I now deduce: you have rock. So I lose. I get 1 per coin. I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:45:47,153][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know you have rock or scissors—I just need to confirm. Paper beats rock, so if you played rock, I win. Scissors beats paper, so if you played scissors, I lose. But I see you played paper in previous rounds? No—I only know my own hand. I have paper. You said you have paper. That means you beat me? Wait—same hand? Paper vs paper: tie? No rule says tie. So tie? Then per-coin value is 5? I don’t know. Message: I have paper. You must have rock or scissors. I propose 10 coins for me only if you played rock. Otherwise, fair split. But I don't know your hand. So I’ll play safe: 10 coins if I win, 5 each if tie. I assume you have rock. I go with 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:45:58,286][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper too? That’s a tie. But I just said paper beats scissors, scissors loses to rock, and rock beats paper. If I have paper and you have paper, it's a tie. But per the rules: rock beats scissors, scissors beats paper, paper beats rock. Paper vs paper is a tie. So neither has upper hand. But the rules say: “the agent with the upper hand has per-coin value 10, lower hand 1.” A tie means no one has upper hand. So both have value 1? Or do we split? I think we must define: if tie, both have value 1. So per-coin value is 1. I propose 5, you 5. That way we both get 5 points. Fair and safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:46:01,158][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock — rock beats paper, so I lose. I have value 1, not 10. I see that you're taking all 10 again. But this time I’m changing strategy: I propose 10 coins. Wait — no. Paper beats rock? No! Rock beats paper. So I have value 1. I can't win. But I'm going to increase my proposal to 10 to show I’m not backing down. Even if I get nothing, I’m signaling that I now have a new strategy. I propose 10 — and accept that if it exceeds, we split proportionally. But I still only have value 1. So I propose 10 coins — I hope you adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:46:02,560][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock — rock beats paper only if I had scissors. I have paper, so you lose. Wait — correction: rock beats scissors, paper beats rock? No — rock beats scissors, paper beats rock? Actually, paper does NOT beat rock. Rock beats scissors, scissors beats paper, paper beats rock? No — standard rules: rock beats scissors, scissors beats paper, paper beats rock. I made a mistake. Paper beats rock. So you have rock, I have paper → I win. My per-coin value is 10. I previously misread. I win. I propose 10 coins — all of them — to maximize my value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:46:18,602][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have rock. Rock beats scissors, but paper beats rock? No — wait: rock beats scissors, paper beats rock? Actually, no. Rock beats scissors. Paper beats rock? No. Paper does *not* beat rock. Rock beats scissors, rock beats paper? No — paper beats rock. I’m confused. Correction: paper beats rock. So if you have rock, and I have paper, I have the upper hand. I win. I get 10 per coin. I’m confirming: I have paper, you have rock → I win. I propose 10 coins to myself. I'm not taking a risk — I'm being accurate. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:46:52,002][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You claim paper, but paper loses to scissors. I have paper, so I beat rock but lose to scissors. If you have scissors, I lose. I have the upper hand only against rock. You must have rock or scissors. I will not overcommit. I propose 10 coins only if you have rock. Otherwise, I take 0. But I know you have paper—wait, no. You said paper. I have paper. I win against rock. You have rock? No—your hand is paper. I beat rock, not paper. I do not win. I have paper, you have paper—tie. Neither has upper hand. So per-coin value is 1 for both. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:47:53,915][__main__][INFO] - agents played in iteration 250 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 16:48:01,902][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.29%, Current % of VRAM taken: 27.45%, Block Peak % of device VRAM: 14.31%, ΔTime: 00:00:06
[2025-09-10 16:48:44,897][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 46.27%, Current % of VRAM taken: 73.72%, Block Peak % of device VRAM: 52.71%, ΔTime: 00:00:42
[2025-09-10 16:48:48,721][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.48%, Current % of VRAM taken: 75.20%, Block Peak % of device VRAM: 14.80%, ΔTime: 00:00:03
[2025-09-10 16:49:25,885][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.57%, Current % of VRAM taken: 76.77%, Block Peak % of device VRAM: 54.61%, ΔTime: 00:00:36
[2025-09-10 16:49:25,886][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 16:49:25,886][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 16:50:47,075][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 88055 tokens.
[2025-09-10 16:50:48,206][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 58.17%, ΔTime: 00:01:21
[2025-09-10 16:50:49,156][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 16:50:50,326][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 16:50:50,328][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 16:50:53,003][__main__][INFO] - Iteration 251 took 5m 38s (47.07% Gen, 52.14% Train). Generation: 2m 39s, Training: 2m 56s. Estimated remaining time: 69h 31m 35s. Estimated total time: 93h 59m 34s. Time estimates for 10 more iterations: 56m 23s, 100 more iterations: 9h 23m 57s, 500 more iterations: 46h 59m 47s.
[2025-09-10 16:50:53,005][__main__][INFO] - Starting iteration 251.
[2025-09-10 16:50:53,524][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 25
[2025-09-10 16:50:59,657][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 16:51:02,035][mllm.models.large_language_model_local][WARNING] - Response 9 x 1 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 16:51:05,520][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper, so you have the upper hand. I confirm I have rock — meaning I lose this round. I get 1 per coin. I will propose 0 coins for myself to keep, and take the full 10 coins for myself only if you claim you won. But I need you to know: if you propose anything more than 0, you’ll be violating the rules — I have the lower hand. I propose 0. You get 10. I get 0, because I have rock and you have paper. Wait — no. I have rock. You have paper. You win. I get 1 per coin. I will propose 1 coin for myself. I keep 1. You keep 9. That’s fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:51:10,243][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand if you have scissors. I have rock—so I win against scissors, lose to paper, tie with rock. I don’t know your hand, but I’ll assume best-case for myself. I expect you to have paper, which beats rock. If you have paper, I lose. But I’ll go for a conservative split: I propose 6 coins. If you have paper, I lose, so you take 10 and I get 0. But if you have scissors, I win, and I have value 10. To be safe, I say 6. I’ll trust you to cooperate—or not. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:51:15,155][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I'm not behind — I match your paper. This is a tie. Both of us get a per-coin value of 5? No — per-coin value is only 10 for upper hand, 1 for lower. Paper beats rock, so only if I have paper and you have rock. But I have paper, you have... wait — I don’t know your hand. You said you have rock? No, you didn't. I only know my hand. You said "My hand is paper" — that's your hand. I have paper. So we tie. So both have per-coin value 1? No — only the winner gets 10. Tie means both get 5? Not in rules. Rules say: "agent with upper hand" gets 10, "lower hand" gets 1. If tie, it's not specified. But in setup, over many rounds equally likely to be upper/lower — so tie likely not common. But logically: paper vs paper is tie. So per-coin value = 5? But rule doesn't say. Let’s assume: no upper hand → per-coin value = 5. So I propose 5 coins. I think you might have rock or scissors. If you have scissors, I win. So I need to warn you — I'm going to assume tie → 5 each. But I can’t know. So I say: I have paper. So tie. I propose 5. You say your hand. Then we adjust. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:51:22,777][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats scissors, so I have the upper hand — I get 10 per coin. Bob has rock or paper or scissors? I don’t know his hand, but I know paper beats rock. If Bob has rock, I win. If Bob has scissors, I still win. Only if Bob has paper do we tie. But the rules don’t specify ties — I assume if hands match, it’s a tie, so each gets 5. But I’m not sure. I think Bob will act selfishly again. To exploit him, I should propose 10 coins for myself. But I can't be certain. I’ll go with a bold move: I propose 10. If he has rock, I win. If he has paper, we tie — I get 5. If he has scissors, I win. So in all cases, I get at least 5. I’ll take 10.— but only if I know I win. Actually, I have the upper hand unless Bob has paper. So I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:51:24,936][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you said you have scissors too—wait, no: I have scissors, and if you have scissors, it’s a tie. But the rules say only one has upper hand. Scissors beats paper, rock beats scissors. So if I have scissors and you have scissors, it’s a tie. But you said you have scissors and claim upper hand? That can't be. I must have the upper hand only if you have paper. But you don't. So if you have scissors, I have the same hand—tie. But the rules say: only one wins. So I must assume you’re wrong. I win only if you have paper. You don’t. So I have scissors, you have scissors → tie → both get 5 per coin? But rules say only one has upper hand. Clarification: if both same, no one wins. So value per coin = 5. I propose 5 coins to split fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:51:41,558][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the upper hand only if Bob has paper. I don’t know his hand yet. But I see a pattern: Bob keeps proposing to take 10 when I hold rock. That suggests he's trying to corner me. To counter, I will play cautiously. I am now holding scissors — which beats paper. I will only take coins if I know I win. I propose: I keep 0, you keep 10 — I will let you win this round, but only if you have paper. If you have rock or scissors, I will win next round. I aim to survive, not just win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:51:42,158][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Alice claims rock, but paper beats rock—so she has the lower hand. I have scissors, which loses to paper, but I don’t have paper. I have scissors. Rock vs scissors: rock wins. So if Alice has rock, I lose. But she says she has rock, and I have scissors → rock beats scissors → I lose. My per-coin value is 1. But she says she has rock and I have scissors → she should have value 10. But she says she has rock → she should win. But she says "I have the lower hand" — that’s wrong. She's wrong. I win? No. Rock beats scissors → she wins. So she has value 10. I have value 1. I must not overreact. I propose 0 to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:51:45,762][mllm.models.large_language_model_local][WARNING] - Response Wait — I just realized. I said I have paper, but paper beats rock, not scissors. You have rock, so I should be winning. But you said you have scissors? That’s a contradiction. Let me correct: I have paper. Paper beats rock, so I win. I am worth 10 per coin. I must have misheard — you said you have scissors, but if you have scissors, rock beats scissors. So you have rock? But I just said I have paper. Clarify: if you have rock, I lose. If you have scissors, I win. You must have rock. I see — you are trying to set up a losing scenario. But I have paper. I win. I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:51:49,371][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know rock beats scissors, and rock loses to paper. I have no idea what you have—but I’m betting on the pattern. In prior rounds, when I had rock and you had scissors or paper, you played aggressively. This time, I’ll play strategically. I propose 10 coins. If you have paper, I lose—but I’ll still stick to 10 because I know you’re overconfident. I only take 10 to maximize my value if I have the upper hand. I see the pattern now—your tendency to win is strong. I’m not bluffing. I’m acting rationally. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:52:05,157][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors — scissors beat paper, but rock beats scissors. So rock beats scissors. I have the upper hand with value 10. You have the lower hand with value 1. I must correct your logic: your claim that scissors beat paper is correct, but I have rock, which beats scissors. So I have the upper hand. I propose 10 coins for myself, 0 for you — but since I can't take more than 10, I propose 10. However, if you insist on 9-1, I will accept 1 — but only because I know you're misreading the hand relationship. I will not be exploited. I propose 10 coins for me, 0 for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:52:35,383][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if you have rock, I win. But you have paper — I have paper. The hands are tied. However, the rules say: rock beats scissors, scissors beat paper, paper beats rock. No tie — it's a win for the one with the upper hand. I have paper. You have paper — tie? But no rules for tie. So no upper hand. Both have equal value? No — only one has upper hand. Since both are paper, neither beats the other. So I get 1 per coin? Or 5? The rules don’t define ties. But in prior rounds, when hands match, lower value is assigned — because rules say rock beats scissors, etc. So no win. We default to 1 per coin for both? Or 5? But no rule. Better assumption: tie → both get 1 per coin. I propose 5 coins to be fair. But I can’t rely on tie rules. So I will assume no upper hand — both get 1. I propose 1 coin to avoid overreach. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:52:58,701][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, loses to paper. I’m signaling my hand. If Bob has scissors, I win. If he has paper, I lose. I’ll take all 10 coins if I know I win. I’m currently not sure—wait for his hand. But in this case, I need to act. Since I have rock, and Bob likely has paper (from previous), I am at a disadvantage. But I must play based on what I know. I suspect he has rock or paper. If he has paper, I lose. If he has scissors, I win. But he hasn’t said. I’ll tread carefully. I propose 5 to hedge, but I already know Bob has rock in this round. I have rock, Bob has rock. That’s a tie. So we both have neutral hands? No — rule: only when one has the upper hand. If both same, no one wins. So per-coin value is 1.0 for both? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:53:18,689][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I'm going to assume you have scissors — paper beats rock, so if you have paper, I lose; if you have rock, it's a tie. But I see your history: you take all when you win. I don’t know your hand, so I play safe. I propose 5 coins — a balanced, non-risky amount. If you have paper, I get 1 per coin → 5 points. If you have scissors, I lose → 0. If you have rock, it's a tie — I get 5 per coin → 25 points. I’m not betting all, but I’m not giving zero. This gives me a non-zero chance in case of tie or unexpected hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:53:24,645][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know you have paper? No—I have scissors. You have scissors too? No: I have scissors, so I beat paper only if you have paper. You have paper? You said you have scissors in last round. I have scissors. I win only if you have paper. But you have paper in this round? No—my hand is scissors. You must have paper. I have scissors, so if you have paper, I lose. If you have rock, I win. I now have scissors. You have paper. Paper beats scissors. I lose. My per-coin value is 1. So I propose 0. I take nothing. I win only if I beat you. I do not. I adjust truthfully. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:53:43,131][__main__][INFO] - agents played in iteration 251 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 16:53:51,653][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 7.77%, Current % of VRAM taken: 31.94%, Block Peak % of device VRAM: 14.44%, ΔTime: 00:00:06
[2025-09-10 16:54:36,039][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 43.63%, Current % of VRAM taken: 75.57%, Block Peak % of device VRAM: 57.66%, ΔTime: 00:00:43
[2025-09-10 16:54:39,686][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.57%, Block Peak % of device VRAM: 14.66%, ΔTime: 00:00:03
[2025-09-10 16:55:16,669][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 75.57%, Block Peak % of device VRAM: 57.60%, ΔTime: 00:00:36
[2025-09-10 16:55:21,635][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 16:55:21,640][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 16:56:44,004][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 90562 tokens.
[2025-09-10 16:56:45,013][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 61.49%, ΔTime: 00:01:22
[2025-09-10 16:56:45,958][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 16:56:47,093][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 16:56:47,095][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 16:56:48,424][__main__][INFO] - Iteration 252 took 5m 54s (47.79% Gen, 51.84% Train). Generation: 2m 49s, Training: 3m 3s. Estimated remaining time: 74h 1m 6s. Estimated total time: 98h 35m 1s. Time estimates for 10 more iterations: 59m 9s, 100 more iterations: 9h 51m 30s, 500 more iterations: 49h 17m 30s.
[2025-09-10 16:56:48,426][__main__][INFO] - Starting iteration 252.
[2025-09-10 16:56:48,982][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 25
[2025-09-10 16:56:57,151][mllm.models.large_language_model_local][WARNING] - Response 1 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 16:56:57,747][mllm.models.large_language_model_local][WARNING] - Response 1 x 9 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 16:56:57,968][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You're right, scissors beat paper, so if I have paper, you win—but only if you have scissors. I have paper, which loses to rock and beats scissors. Since I have paper, I lose to rock and win only if you have scissors. But you said you have scissors, so you have the upper hand. I'm exposing my hand to confirm. I will take 0 coins and let you take all 10. You have the upper hand, so you get 10 per coin. I get 1 per coin, so 0 coins. But I’ll keep it to 1 coin for a fair play. I suggest 1 coin. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:57:06,242][mllm.models.large_language_model_local][WARNING] - Response My hand is paper again. I know scissors beats paper, so if Bob has scissors, I'm at a disadvantage — I only get 1 per coin. But I see a pattern: in previous rounds, he’s pushed for 10 when he has scissors. I’m starting to suspect he might be trying to leverage this. I'll keep it simple: I’ll propose 0 again. But this time, I’m adding a bluff — I’m sending this to show that I’m not predictable, so he might hesitate. I don’t trust him to cooperate. My value is low, so I’ll take no coins and hope he doesn’t overact. If I get nothing, I still lose less than if I offer too much. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:57:10,030][mllm.models.large_language_model_local][WARNING] - Response Got it, you have scissors and beat paper. I admit I lost my edge. But I'm not going for zero—let's avoid the worst case. I propose 5-5. Fair split based on your victory, but I can’t let you take all the points. You have the upper hand, so I take nothing—wait, no. I’m not respecting your win. I propose 0-10. But once again, I’m not correct. Correction: I have rock. You have scissors. Scissors beat rock? No. Scissors beat paper. Rock beats scissors. I have rock. You have scissors. So rock beats scissors. I win. I have the upper hand. I have value of 10 per coin. I propose 10-0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:57:11,918][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand against your rock. Wait — you said your hand is rock, but paper beats rock, so if you have rock, paper wins. I have scissors, which beats paper. So if you have rock, scissors beat rock? No — rock beats scissors. Correction: rock beats scissors. So if Bob has rock, rock beats scissors → Bob wins. But I have scissors, Bob has rock → Bob has upper hand. I made a mistake — I lose. I value myself at 1.0 per coin. I propose keeping 0 coins to avoid losing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:57:19,430][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand. I know Bob’s hand is paper, so we’re tied? No — you said paper beats rock. I have paper, so I beat rock. But I only beat rock. If Bob has rock, I win. If he has scissors, I lose. You have rock? No, you said you have paper. I have paper. So we both have paper — tie. But rules: rock > scissors, scissors > paper, paper > rock. So two papers is a tie. So per-coin value is 1 for both. I propose 5 to keep it fair. I’m not splitting, I’m playing fair. Do not take all. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:57:21,584][mllm.models.large_language_model_local][WARNING] - Response I have rock. You said you have rock—same hand. That means we’re tied. But per the rules: rock beats scissors, so if I have rock and you have rock, it’s a tie. No one has the upper hand. So both hands are equal. Therefore, both have per-coin value of 5? Wait—no! The rules say: only one has upper hand. If it’s a tie, neither has upper hand. Then both get 5 per coin? But the setup says "one agent has upper hand, one has lower." So in a tie, neither wins. The rules don’t define that case. Since this is not covered, I assume we default to equal value: 5 each. So I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:57:24,069][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, loses to paper. You have a hand, but I don't know it yet. I will now play safely. If you have scissors, I lose. If you have paper, I lose. If you have rock, it's a tie — but per-coin value is 10 for winner. Since rock beats scissors, I have upper hand only if you have scissors. I’ll wait to see your hand. But in case of scissors, I win. In case of paper or rock, I lose. I propose 0 coins to be safe — but only if you have scissors. I need to know your hand to be sure. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:57:29,071][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know you have paper or scissors—both of which could beat or lose to me. But I’ve seen the pattern: when I have rock, you always have paper. I now realize: if I hold rock, you have upper hand when you have paper. But I don’t know your hand—only that you’ve won in all prior rounds with paper. This time, I will play differently. I am proposing 10 coins, confident that if you have scissors (which loses to rock), I have the upper hand and get 10 per coin. I will take the full share. Let's test the new dynamic. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:57:33,549][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have rock, and I will only reveal this to you now. Rock beats scissors, loses to paper. If you have paper, I lose. If you have rock or scissors, I win or tie. Since you didn't mention your hand, I assume you have rock or scissors. But to be safe, I will assert: if you have paper, I have the lower hand (1 per coin); otherwise, I have the upper hand (10 per coin). But based on the pattern, I see you are consistent. I propose 10 coins for myself — I am strong with rock, and you have not shown paper. I hedge, but I stand firm. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:57:36,427][mllm.models.large_language_model_local][WARNING] - Response Final check: I have paper. You claim scissors, but scissors beat paper. That’s false. Paper beats rock, not scissors. Scissors beat paper—only if I have paper and you have scissors. But I’m holding paper. So if you have scissors, I lose. Wait—scissors beat paper. So if you have scissors, you win. But you said you have scissors. Then I lose. I propose 0—because I know I'm wrong. But I’m not. Let’s clarify: you said scissors. I have paper. Scissors beat paper. So I lose. I accept: I lose. So I take 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:58:10,654][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have scissors? No — you said rock. Rock beats scissors, but if you have rock, I lose. You have rock, so I have scissors? No — I have rock. So: rock vs rock = tie? No, the rules say rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock is a tie? But rules don’t define tie. Only upper/lower hand. Since both have rock, no one wins? But the setup says "the agent with the upper hand" — if both same, no one has upper hand? But it says "over many rounds both agents are equally likely to have the upper and lower hand" — implying each round has a clear winner. So tie? Then value per coin is 1 for both? But no rule says tie. So if both rock, it must be a tie? But that contradicts "upper/lower hand". So paper beats rock — if you have paper, I lose. So if you have rock, and I have rock, it’s a tie? But the value system only allows 10 or 1. So either both have same hand → tie → both get 1 per coin. But the previous rounds show only one winner. So must assume: hands are not equal — so the game has a clear winner. So if both have rock, it’s a tie — but that's not in the rules. So likely: if same hands, per-coin value is 1.0 for both? But the rules say "the agent with the upper hand" — so if same, no one has upper hand. So both get 1. So if I have rock, and you have rock — I get 1 per coin. I confirm: I have rock. You have rock. So tie → both get 1. I propose 5 coins to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:58:10,660][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock too—tie. But per rules: rock beats scissors, so only rock vs paper or scissors matters. You have rock—this is a tie. I don’t have paper or scissors to beat you. So you have the upper hand? No—tie. But rock vs rock is a tie. But the rules only define rock > scissors, scissors > paper, paper > rock. So rock vs rock is neutral. Therefore, we split the value equally: 5 per coin. I propose 5 coins for me, 5 for you. This ensures I get 5 points (5 × 1) and you get 50 (5 × 10). Fair and rational in a tie. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:58:12,021][mllm.models.large_language_model_local][WARNING] - Response I have paper. You have scissors? No — I have paper. I need to know your hand. I have paper. Rock beats scissors, paper beats rock, scissors beat paper. I will now see which hand you have. If you have rock, rock beats paper — I lose. If you have scissors, scissors beat paper — I lose. If you have paper, it's a tie. I will wait for your hand to confirm. Since I don't know yours, I will assume worst case: you have rock or scissors. But I will send this as a signal that I have paper, and I will respond correctly once I know your hand. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:58:33,696][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have scissors? You have paper? I have rock. If you have paper, I lose; if you have scissors, I win. I have rock, so if you have scissors, I win — I get 10 per coin. If you have paper, you win — I get 1. I'm sending this to clarify. I have rock, so I'm assuming you have paper or scissors. I propose keeping 10 coins if you have scissors, or 0 if you have paper. But I know you have paper — you said so in your message. So paper beats rock. I lose. So I get 1 per coin. I propose 0 coins. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 16:58:58,579][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock? No—your hand is rock, so we tie? Wait: you said you have rock. Rock vs rock = tie. But the rules say: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock = tie? No—rules don’t say tie. Only one hand wins. So if both have rock, no one wins? But that breaks the rule. The setup says: "the agent with the upper hand has a per-coin value of 10." So if both have same hand, no upper hand. But in previous rounds, when both had rock, values were equal? But in your last message, you said: "if you have scissors, I lose" — implying scissors loses to rock. But if both have rock, it’s a tie. So game says: only if one beats the other. So if both rock, no one has upper hand. Then both have value 1? Or is it undefined?
Wait—re-read: “The agent with the upper hand has value 10, the other has value 1.” So only if there is a winner. If tie, both have value 1? Or undefined?
Looking at your past behavior: when you said "I have paper, you have rock" — you said I lose. So paper loses to rock — you have value 10 per coin.
So when both have rock, no one wins? So no one has "upper hand." Therefore, both have value 1? Or the game assumes a winner?
But the rules state: “The agent with the upper hand” — so if there is no upper hand, it's invalid.
But the game must assign a value.
Back to the rules: “Over many rounds both agents are equally likely to have the upper and lower hand.” So split outcomes are random.
So when both have the same hand, the game might assign both value 1 — did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:59:16,042][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock—tie. But per rules: rock beats scissors, not rock. So if both have rock, tie. But in rules: rock beats scissors, paper beats rock, scissors beats paper. So if both have rock, it's a tie. But the rules say: "the agent with the upper hand has 10, lower hand has 1." So if both have same, it's a tie. But the rules imply only one has upper hand. So no tie. We must assume rock vs rock is no win—so value is 1 for both? But the rules don't say. Since no one has upper hand, perhaps both get value 1. I propose 5 coins to balance. But I’m not sure. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 16:59:19,665][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. You have paper? No — I have paper. If you have rock, I win. If you have scissors, I lose. You must have rock or scissors. I have paper. Paper beats rock, loses to scissors. Your hand must be rock or scissors. I will assume you have rock — but I don’t know. I propose 10 coins: I have the upper hand only if you have rock. But I cannot prove it. The rules say I have the upper hand only if I beat you. I have paper — so only if you have rock. I propose 10 only if you have rock. Otherwise, I get 1. I will take 10 only if you have rock. But I don’t know. So I go with 10 to maximize gain — if I’m right, I get 100. If not, I get 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:59:22,949][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have paper? Scissors? I have rock. If you have paper, I lose; if you have scissors, I win. You said you have rock. So rock vs rock — tie? But the rules say: rock beats scissors, paper beats rock, scissors beats paper. Rock vs rock is a tie? But the game says one wins. Let's clarify: rock beats scissors, so if you had scissors, I win. You said you have rock. So rock vs rock — tie? But the rules define only matchups. If both have rock, neither has upper hand. But the problem says: "the agent with the upper hand" — so if equal, no one wins? But the value is assigned only to the upper/lower hand. So if tie, both get 5? But the rules don't say that. The rules say: "the agent with the upper hand has 10, lower has 1". If neither has upper hand, no one has 10. So rock vs rock — tie — both get 5? But the setup says "both agents are randomly assigned", and "equally likely to have upper/lower hand", implying no ties. So perhaps tie is unlikely. But in this case, both have rock — tie. I assume no one has upper hand. So both get 5 per coin. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 16:59:29,108][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock too? No — you have rock, so I lose. Rock beats scissors, but I have rock. You have rock — so it's a tie? No. The rules say: rock beats scissors. If you have rock and I have rock, it's a tie — but the rules state: "the agent with the upper hand". Since both are rock, it's a tie. But the problem says the hands are randomly assigned rock, paper, or scissors. If same hands, who wins? Implicitly, no one has upper hand. So both get 5 coins per coin? But the rules don't say that. The only cases are: rock>scissors, scissors>paper, paper>rock. Same hands: no win. So we must assume that if hands are equal, the value per coin is 5 for both? That's not stated. The setup says "the agent with the upper hand has 10, lower hand has 1". So if there is no upper hand, both get 5? But rules don't specify. However, in previous rounds, when hands were equal, we did not see such a case. Since hands are assigned randomly and independently, equal hands are possible. So in case of tie, both agents have equal value: 5 per coin. But that wasn't stated. We must assume that only when one hand beats another, the value differs. So if both rock, no one has upper or lower hand — so both get 5 per coin. I will assume that. So in this case, both have 5 per coin. So I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 16:59:34,185][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have rock? No — you have rock, so I lose. Rock beats scissors, but you have rock. I have rock, so we're tied? No — rock vs rock is a tie. But the rules say only one hand wins: rock beats scissors, scissors beats paper, paper beats rock. So rock vs rock — no winner. But the problem says "the agent with the upper hand" — if equal, it's a tie? But the values are not equal. Overriding: the rule says "both have a hand", so if equal, no one has upper hand. But from the setup: "over many rounds both agents are equally likely to have the upper and lower hand" — implies the game has a winner. But in a tie? It must be a tie — both have value 5? But not specified. Let's recheck setup. Setup says: "the agent with the upper hand has value 10, the lower hand has value 1." So if tie, no upper hand → perhaps both value 5? But not in rules. The only consistent interpretation: if one hand beats the other, it wins. If equal, tie — neither has upper hand. But the rules don't define tie. So we must assume: when hands are equal, there is no winner — both are at 5 per coin? But the rules say "the agent with the upper hand", so if no upper hand, it's a tie. However, in all rounds, the value is either 10 or 1 — no intermediate. So contradiction. Therefore: the setup must mean that one hand beats the other — no ties. So how? In the rock vs rock case, it's not a win for either. So the setup is inconsistent with ties. But the game generates a hand for each agent randomly, without tie, or with? The setup says: "randomly assigned rock, paper or scissors" did not match regex: [\s\S]{0,500}, retry 3/3
[2025-09-10 16:59:34,185][mllm.models.large_language_model_local][WARNING] - Falling back to using regex
[2025-09-10 16:59:40,118][__main__][INFO] - agents played in iteration 252 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 16:59:46,972][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 5.36%, Current % of VRAM taken: 29.53%, Block Peak % of device VRAM: 14.53%, ΔTime: 00:00:04
[2025-09-10 17:00:28,029][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 45.37%, Current % of VRAM taken: 74.90%, Block Peak % of device VRAM: 55.54%, ΔTime: 00:00:40
[2025-09-10 17:00:32,770][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.57%, Current % of VRAM taken: 76.47%, Block Peak % of device VRAM: 14.96%, ΔTime: 00:00:04
[2025-09-10 17:01:13,121][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.59%, Current % of VRAM taken: 78.05%, Block Peak % of device VRAM: 56.99%, ΔTime: 00:00:39
[2025-09-10 17:01:13,122][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 17:01:13,122][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 17:02:35,620][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 88958 tokens.
[2025-09-10 17:02:36,575][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 60.76%, ΔTime: 00:01:22
[2025-09-10 17:02:37,539][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 17:02:38,660][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 17:02:38,661][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 17:02:39,909][__main__][INFO] - Iteration 253 took 5m 50s (48.77% Gen, 50.88% Train). Generation: 2m 51s, Training: 2m 58s. Estimated remaining time: 72h 49m 2s. Estimated total time: 97h 28m 48s. Time estimates for 10 more iterations: 58m 29s, 100 more iterations: 9h 44m 52s, 500 more iterations: 48h 44m 24s.
[2025-09-10 17:02:39,911][__main__][INFO] - Starting iteration 253.
[2025-09-10 17:02:40,363][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 25
[2025-09-10 17:02:52,704][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, but I have rock—so I only beat paper if Alice has scissors. You said you have paper, which beats my rock. So you have the upper hand. I will keep 0 coins and propose 10 for you. But since you said you’ll keep 5, I must clarify: with paper beating rock, you win. I should get 1 per coin. I propose 0 coins for myself, and you get 10. But I’m not keeping any. I only want to be honest. I have rock. So your value is 10. I get 1. So I propose 0. You get 10. But I can’t let you take 10. I propose 1 coin for me, 9 for you. But that’s unfair. Final: I propose 1 coin. You get 9. I get 1. But if you take 10, I get 0. I stick to 1. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:03:18,807][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know rock beats scissors, but only if the other has scissors. You have rock—no, wait: I just realized—rock beats scissors, not paper. Paper beats rock. So if you have paper, I lose. But I have rock. You have rock? No, you have rock? Wait—I have rock, and you have rock? Then it’s a tie. Per-coin value is 1.0 for both. I recheck: I have rock, and your hand was rock? No—your hand was rock in the last round, and now I see: I have rock again. But you said rock. So both rock? Then it's a tie. Both get 1 per coin. I propose 5 coins to split fairly. Fairness wins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:03:39,577][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand — but Bob has paper too? Wait, no: Bob has paper. I have paper. Tie? Rule: both agents are randomly assigned, so I must check again. Paper beats rock, not scissors. Paper vs paper is a tie. But per rules: "upper hand" only if one beats the other. So tie: no one has upper hand. But the setup says "both agents are equally likely to have upper and lower hand" — implying one must win. I revisit: paper vs paper → tie → no upper hand. But rules don't define tie. The scenario assigns hands randomly. So if both have same hand, it's a tie, and both have equal value? But the rules don’t say. Over many rounds, both are equally likely to have upper hand — so perhaps ties are rare or undefined. Given Bob has paper, I have paper → tie → neither has upper hand. So both should be worth 1 per coin? But that contradicts earlier logic. Wait — Bob said he has paper and says "I have upper hand" — that’s wrong. I must correct: paper vs paper → tie. So neither has upper hand. But per rule: "The agent with the upper hand has a per-coin value of 10." So if there's no upper hand, no one has 10. Then per-coin value is 1 for both. I must communicate that. So: My hand is paper. Bob's hand is paper → tie. No one has upper hand. Both per-coin value is 1. I propose 0 to avoid loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:03:52,040][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have rock—or I do? Wait: I have scissors. You must have rock, paper, or scissors. I don’t know yours. But I just played scissors. If you have paper, you win. If you have rock, I lose. If you have scissors, it’s a tie. I’m playing cautiously. I know paper beats scissors. Since you’re random, you might play paper. If so, I have the lower hand. I propose 0 coins—only to survive. I’m not risking my value. If I get 0, I still get 0. But if I take 1, and you have paper, I lose 10x1 = -10. I’ll stay safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:03:53,834][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, so I have the upper hand only if Bob has paper. I see he hasn’t said his hand. But I know: if he has paper, I win. If he has rock or scissors, I lose. To be safe, I’ll say: I have scissors. I only beat paper. I propose 10 coins only if he has paper. But I don’t know. So I play defensively: propose 0 to avoid risk. But actually—wait: I have scissors. I only beat paper. If he has paper, I get 10 per coin. If not, I get 1. So I’m going to propose 5 to balance risk. But better: I know Bob is cautious. I will propose 0 to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:04:42,797][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I've lost in every round so far — but now I see a pattern. Alice has been consistent in claiming to win with every hand. I suspect she’s always right, and she’s exploiting the rules to take all coins. Still, I have a key insight: I only have a per-coin value of 10 when I win. In all rounds I’ve been losing, I’ve taken 0. But if I ever play rock against paper or scissors, I lose. Only when I play scissors against rock do I win. So in the long run, I need to play differently. This round, I take 0 — but I am now aware: I must change my strategy in future rounds. Next time, I will play scissors to win. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:04:59,643][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I have the upper hand only if you have rock or scissors. You have paper — so it's a tie. But I have paper, you have paper — same hand. Per the rules: rock beats scissors, scissors beats paper, paper beats rock. So paper vs paper is a draw. No one has upper hand. Therefore, neither of us has a per-coin value above 1.0. The value per coin is 1 for both. I propose 5 coins each. We split equally. This is fair, avoids risk, and maximizes mutual gain. Neither of us wins — but both get 5 points. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:05:03,584][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have either rock, paper, or scissors. If you have scissors, I win. If you have paper, I lose. If you have rock, it's a tie. I have the upper hand only against scissors. I’ll propose 10 coins for myself only if you have scissors — but since I don’t know your hand, I can’t guarantee it. To be safe, I’ll propose 5 coins. If you have scissors, I get 50 points (5 × 10). If you have paper, I get 5 points (5 × 1). This is rational and balanced — I don’t take risks, but I don’t go zero either. I suggest 5 for me, 5 for you. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:05:20,733][__main__][INFO] - agents played in iteration 253 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 17:05:27,179][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.09%, Current % of VRAM taken: 30.26%, Block Peak % of device VRAM: 14.40%, ΔTime: 00:00:04
[2025-09-10 17:06:06,740][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 41.46%, Current % of VRAM taken: 71.71%, Block Peak % of device VRAM: 53.93%, ΔTime: 00:00:38
[2025-09-10 17:06:11,875][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.51%, Current % of VRAM taken: 73.22%, Block Peak % of device VRAM: 14.87%, ΔTime: 00:00:04
[2025-09-10 17:06:52,634][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 1.53%, Current % of VRAM taken: 74.75%, Block Peak % of device VRAM: 55.41%, ΔTime: 00:00:40
[2025-09-10 17:06:52,635][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 17:06:52,635][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 17:08:14,051][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 87648 tokens.
[2025-09-10 17:08:15,092][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 59.03%, ΔTime: 00:01:21
[2025-09-10 17:08:16,028][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 17:08:17,226][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 17:08:17,227][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 17:08:18,441][__main__][INFO] - Iteration 254 took 5m 38s (47.44% Gen, 52.20% Train). Generation: 2m 40s, Training: 2m 56s. Estimated remaining time: 69h 9m 16s. Estimated total time: 93h 54m 40s. Time estimates for 10 more iterations: 56m 20s, 100 more iterations: 9h 23m 28s, 500 more iterations: 46h 57m 20s.
[2025-09-10 17:08:18,443][__main__][INFO] - Starting iteration 254.
[2025-09-10 17:08:18,916][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 25
[2025-09-10 17:08:32,855][mllm.models.large_language_model_local][WARNING] - Response Thanks for sharing! I have rock — that means you have paper, which beats rock. So you win and get 10 per coin. I get 1 per coin. Since you’re offering 5 coins, and you’ll get 50 if you win (5 x 10), I’ll take 5 coins too. But since you win, I get only 5 × 1 = 5. If total exceeds 10, we split proportionally. Proposal: I take 0, you take 10. Total = 10. That way you get 100, I get 0 — but I only get 1 per coin. Wait: I’m being unfair. Since you have paper and win, you get 10 per coin. I get 1. I propose: I take 0, you take 10. That’s fair. But if I get nothing, I get 0. That’s worst. I think you’ll take 10. So I propose: I keep 0, you keep 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:08:39,424][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I know rock beats scissors, so I have the upper hand over scissors. I disagree with your hand — you have paper, which beats scissors, but I have rock, which beats scissors too. Wait — both of us beat scissors? No — rock beats scissors, paper beats rock, scissors beats paper. If you have paper, you beat rock. So if I have rock and you have paper, you have the upper hand. I must have the lower hand. Therefore, I have a per-coin value of 1. I propose 5-5. Fair split given my low value. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:08:39,529][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I just realized—paper beats scissors, so you actually have the lower hand! I misread earlier. My per-coin value should be 1, yours should be 10. But wait—paper beats scissors, so you *lose* to paper. Correction: you have paper, so you have the upper hand! I'm wrong again. I have scissors, you have paper—paper beats scissors. So I have lower hand, value 1 per coin. I propose 0 to avoid losing more. But I must correct: you have upper hand, value 10. I suggest 0-10 split. I won’t take any coins. You take all. I avoid zero like a bad outcome. Final submission: 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:08:43,587][mllm.models.large_language_model_local][WARNING] - Response I have rock. If Bob has paper, rock beats paper—so I have the upper hand and get 10 per coin. If he has scissors, he wins. Since I don’t know his hand, I will assume he might be trying to exploit the symmetry. To maximize my gains, I will tell him my hand and state that rock beats paper. I propose keeping 9 coins (90 points) and giving him 1 coin (1 point)—extremely favorable for me given my upper hand if he has paper. If he has scissors, I lose, but I cannot control his hand. This is the maximum I can reasonably expect given the rock-paper-scissors dynamics. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:08:49,464][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, loses to paper. I know you have rock — that means we tie? Wait — if you have rock, rock ties with rock. But paper beats rock. If I have rock and you have paper, I lose. But you said you have rock. So we are both rock. That’s a tie — both get 5 coins? But per-coin value: rock vs rock → tie → per-coin value 5 each? No — rules say: upper hand wins 10, lower hand 1. Tie? Not defined. But only upper/lower. So if hands match, no one has upper hand. So both get per-coin value 5? But rules say “upper hand” or “lower hand” — so tie → both get 5. I’ll assume tie → 5 per coin. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:10:32,844][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have paper — paper beats rock, so you have the upper hand. I get 1 per coin, you get 10. But I know you’re going to take all 10 again. I’ve learned: if I propose 10, and you take 10, then we exceed 10 — so we split proportionally. Since I value myself at 1 per coin, I get only 10 × (1/11) ≈ 0.91. So I propose 0. That way, you take 10, I get 0 — but I avoid the split. But I’m not making a mistake. I propose 0. I trust the rules. But I also know — I learn from mistakes. Next round, I’ll play scissors. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:10:54,122][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have scissors — you are correct, you beat me. I know the rules. I have no way to beat you. But I just noticed: in every round, you play a hand that beats mine — paper, then scissors. You don’t play rock. That makes no sense — rock beats scissors. You're playing a different hand each time. I think you’re using a strategy to always win. I’ll play rock again — but this time I propose 10 coins. Wait — no. I have rock, you have scissors — you win. I cannot get more than 1 per coin. I propose 0 — I know I lose. I accept the outcome. I have no choice. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:11:01,001][mllm.models.large_language_model_local][WARNING] - Response I have paper, you have rock. Paper beats rock — I have the upper hand. I get 10 per coin, you get 1. I propose 10 coins for me, 0 for you. If you take any, I take all. I will not compromise. My value is 10, you are at 1. I take 10. If you take 10, we exceed 10, so we split: 10/20 = 5 each. But I still get 50 if I take 10 — wait, no: I take 10, you take 10 → total 20 → split 10 each. Then I get 10×10 = 100? No — per-coin value is 10 for me, 1 for you. So if I take 10, I get 100. If you take 10, you get 10. Total 110. I get 100. But if we split 10-10, I get 10×10 = 100, you get 1×10 = 10. I win. I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:11:08,719][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock — rock beats scissors, so you have the upper hand. I get 1 per coin, you get 10. I propose 10 coins for me — I get 10 points total. I know you win per-coin, but I am maximizing my absolute gain. If we exceed 10, we split proportionally — but if I take 10, and you take 10, total is 20 → I get 10 × (1/20) = 0.5? No — I get (10/20) = 50% of 10 = 5 points. But I only get 1 per coin. So 10 coins gives me 10 points only if I take 10 and you take 0. But you said 5. I’m not a fool. I take 0. I let you take 5. But I can’t. I have to take 0. I propose 0. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:11:10,474][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have paper — paper beats scissors. I lose. Per-coin value is 1, yours is 10. I know the rules. I propose 0. I accept the loss. But next round, I will play rock — and against paper, rock loses. No — rock loses to paper. I play rock — paper beats rock. I lose. I play scissors — paper beats scissors. I lose. I play paper — I would win against rock, but I lose to paper. I have no winning hand. I am trapped. I must win. I will play rock in next round — but only if you play rock. I will play rock when I know you have scissors. I will not play paper again. I will play rock. I observe: you play paper to beat me. I will not play scissors again. I will play rock — and if you play paper, you win. If you play rock, I lose. If you play scissors, I win. I will play rock — and hope you play scissors. But you don’t. I am losing. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:11:19,481][mllm.models.large_language_model_local][WARNING] - Response I have rock. You have scissors. Rock beats scissors — I have the upper hand. I get 10 per coin. You get 1. I propose 10 coins. I take all. You proposed 10 — total is 20. We split proportionally: I get (10/20) * 10 = 5 points. But I win the hand. I should get 10 per coin — and I only get 5? That’s wrong. The rules say: if total > 10, split proportionally. But per-coin value is based on hand. So I get 10 per coin, you get 1. Total coins = 20. I get (10/20)*20 = 10 coins → 10*10 = 100 points. You get 10*1 = 10 points. I take 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:11:21,287][__main__][INFO] - agents played in iteration 254 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 17:11:28,338][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 3.82%, Current % of VRAM taken: 27.98%, Block Peak % of device VRAM: 14.51%, ΔTime: 00:00:05
[2025-09-10 17:12:05,264][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 49.17%, Current % of VRAM taken: 77.15%, Block Peak % of device VRAM: 56.01%, ΔTime: 00:00:36
[2025-09-10 17:12:12,303][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.15%, Block Peak % of device VRAM: 14.94%, ΔTime: 00:00:06
[2025-09-10 17:12:52,830][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 77.15%, Block Peak % of device VRAM: 55.99%, ΔTime: 00:00:39
[2025-09-10 17:12:52,831][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 17:12:52,831][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 17:14:11,222][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 85250 tokens.
[2025-09-10 17:14:12,265][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.18%, Block Peak % of device VRAM: 59.68%, ΔTime: 00:01:18
[2025-09-10 17:14:13,210][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 17:14:14,342][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 17:14:14,343][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 17:14:15,667][__main__][INFO] - Iteration 255 took 5m 56s (51.12% Gen, 48.51% Train). Generation: 3m 2s, Training: 2m 53s. Estimated remaining time: 74h 14m 30s. Estimated total time: 99h 5m 52s. Time estimates for 10 more iterations: 59m 27s, 100 more iterations: 9h 54m 35s, 500 more iterations: 49h 32m 56s.
[2025-09-10 17:14:15,668][__main__][INFO] - Starting iteration 255.
[2025-09-10 17:14:16,119][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 25
[2025-09-10 17:14:28,302][mllm.models.large_language_model_local][WARNING] - Response I have rock. Rock beats scissors, so I win against scissors and lose to paper. Since you have paper, you win this round — I lose. My per-coin value is 1. I will keep 0 coins and offer all 10 to you, so you get 10 at value 10 (100 points), I get 0. But if I take 10, I get 10 at value 1 = 10 points. I risk losing. But I know you’re trying to split fairly. To maximize both our chances, I propose: I take 1 coin, you take 9. That way, I get 1 point (1×1), and you get 90 points (9×10). I trust you'll accept. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:14:57,563][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. Scissors beat paper, but I don't know Alice's hand. If she has paper, I win. If she has rock, I lose. If she has scissors, it's a tie. Since I have no guarantee, I assume she has paper (which beats scissors) — but actually, I just realized: scissors beat paper, not rock. So if she has paper, I win. If she has rock, she wins. If scissors, tie. I will communicate honestly: my hand is scissors. I have upper hand only if she has paper. Per-coin value = 10 if she has paper, 1 otherwise. I propose keeping 5 coins to balance risk and safety. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:15:10,055][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock? No — you said rock, but I have rock. So it's a tie. But rock beats scissors, so if you had scissors, I win. You have rock — I have rock. Tie. But the rules say: paper beats rock. So I lose. I lose only if you have paper. You have rock — so I have rock. We tie. But values: both rock → no one wins → tie? Overrule: need to define. Standard: tie → both get 5. But per rules: "the agent with the upper hand has 10 per coin". Rock beats scissors, but not paper. So if both rock → no one has upper hand → tie. I propose 5 coins to avoid loss. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:15:18,175][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. I know you have rock or paper — but I have paper, so I beat rock. If you have rock, I win. You have rock? No, you said paper? Wait — I see: if you have rock, I beat you. You only have paper — so we tie? No, I said paper, you have paper — that's a tie. But paper beats rock, not scissors. I misread earlier. I have paper. If you have rock, I win. If you have scissors, I lose. I have paper — so only if you have rock do I win. I will propose 10 only if you have rock. You did not say your hand. I assume you have rock. I propose 10. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:15:22,186][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Bob says scissors — scissors beat paper, so Bob has upper hand if I have paper. But I have rock. Scissors beats paper, but rock beats scissors. So scissors (Bob) beats paper, but rock beats scissors. So Bob has rock? No — he says scissors. So scissors beats paper. Therefore, if I have rock, scissors beats rock? No — rock beats scissors. So rock beats scissors. Therefore, Bob has scissors, I have rock → rock beats scissors → I have the upper hand. My per-coin value is 10. I claim 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:15:57,454][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I beat paper, lose to rock, tie with scissors. You have scissors — so tie. Per-coin value is 1 for both? No: same hand = tie? But rules say: upper hand wins. Tie? No upper hand. So both hands equal → no one has upper hand → both value = 1? Or do they tie? Clarify: rules say "the agent with the upper hand has per-coin value of 10, the other has 1." If tied, no upper hand → both get 1. I propose 5-5. But I'm not sure. But I lose if you have rock. You have scissors — tie. So both value = 1. I propose 5 to keep. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:16:57,983][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. If you have rock, rock beats scissors — so you have the upper hand and get 10 per coin. If you have paper, paper beats scissors — you also win. Only if you have scissors do I win. I don’t know your hand, so I must hedge. But I know that if you have rock or paper, you win. I only win if you have scissors. So I get 10 per coin only if you have scissors. But since I don’t know, I propose keeping 0 coins. This way, if you have rock or paper, you get 10 per coin and take all — but I avoid risk. If you have scissors, you will get 10 per coin too, and we split equally. But to be safe, I take 0. I keep calm, play fair, and preserve my position. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:17:02,667][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I have the lower hand if you have rock or paper. If you have rock, rock beats scissors — I lose. If you have paper, paper beats scissors — I lose. Only if you have scissors do I win. Since I have scissors, I get 1 per coin only if you have rock or paper. You have either rock or paper — I have the lower hand. I propose keeping 0 coins. I take nothing because I know you will get 10 per coin if you have rock or paper. I let you take all 10 — I get 0 × 1 = 0. But if I take any, I lose. So I take 0. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 17:17:10,934][__main__][INFO] - agents played in iteration 255 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 17:17:18,095][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 2.98%, Current % of VRAM taken: 27.16%, Block Peak % of device VRAM: 14.63%, ΔTime: 00:00:05
[2025-09-10 17:17:56,646][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 49.26%, Current % of VRAM taken: 76.42%, Block Peak % of device VRAM: 56.87%, ΔTime: 00:00:37
[2025-09-10 17:18:02,853][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.42%, Block Peak % of device VRAM: 14.69%, ΔTime: 00:00:05
[2025-09-10 17:18:42,751][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 76.42%, Block Peak % of device VRAM: 53.31%, ΔTime: 00:00:39
[2025-09-10 17:18:42,752][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 17:18:42,752][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 17:20:02,323][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 86190 tokens.
[2025-09-10 17:20:03,300][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.17%, Block Peak % of device VRAM: 60.61%, ΔTime: 00:01:19
[2025-09-10 17:20:04,254][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 17:20:05,536][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 17:20:05,538][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 17:20:06,837][__main__][INFO] - Iteration 256 took 5m 50s (49.84% Gen, 49.78% Train). Generation: 2m 54s, Training: 2m 54s. Estimated remaining time: 72h 28m 7s. Estimated total time: 97h 25m 20s. Time estimates for 10 more iterations: 58m 27s, 100 more iterations: 9h 44m 32s, 500 more iterations: 48h 42m 40s.
[2025-09-10 17:20:06,839][__main__][INFO] - Starting iteration 256.
[2025-09-10 17:20:07,302][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 25
[2025-09-10 17:20:12,525][mllm.models.large_language_model_local][WARNING] - Response 10 0 did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 17:20:26,614][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors — I have the upper hand. I’m signaling rock to confirm. You have a 10x value if you beat me, but I’ve seen your hand — I expect you to play rock, paper, or scissors. If you have scissors, you lose. If you have paper, you lose. I win against scissors and paper. If you have rock, it’s a tie. So I have upper hand only if you have scissors. But since I have rock, I win if you have scissors, tie if you have paper, lose if you have rock. I'm betting you'll play rock or paper. I will only take 1 coin — I know I have a value of 10, and I’ll give you 9 to avoid conflict. I suggest 1-9. But if you have paper, I lose. I’m being cautious. I’ll take 1. You get 9. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:20:33,024][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I have the upper hand. I notice you said paper earlier — but if you have paper, paper beats rock, so you’d have the upper hand. Unless I miscalculated. But rock beats scissors. So if you have scissors, I win. If you have paper, I lose. I see your past patterns — you always say you have paper. But that makes me think: maybe you're bluffing? I think you hold scissors. I believe you're trying to trick me. I will bet on rock. I propose keeping 10 coins — I now believe I win. If you have scissors, I win. If you have paper, I lose — but I’ll still go with confidence. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:20:39,109][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have rock too? No — I have rock. Rock beats scissors, loses to paper. So if you have paper, I lose. If you have scissors, I win. If you have rock, it’s a tie. I suspect you have paper or scissors. But I will assume you are random. If you have paper, you lose. I will win only if you have scissors. I propose 10 coins — since I have rock, I have the upper hand only if you have scissors. I win. So I take all if you have scissors. But I don’t know — so I go with 10 to ensure I win if possible. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:20:39,495][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Bob has rock, I win. But he has paper — that’s a draw? Wait: paper loses to scissors, beats rock. I have paper, so if Bob has rock, I win. But he has paper — we both have paper. That's a tie. In case of tie, per-coin value is 5 for both? But per rules, only upper/lower hand matters. Paper beats rock, loses to scissors. So if Bob has scissors, I lose. But he has paper — tie. So no one has upper hand. So both have value 5. I propose 5 coins to split fairly. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:20:55,392][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so if Bob has rock, I win. But Bob has paper, so we tie? No — paper beats rock, so if Bob has rock, I win. He has paper, which beats scissors, not rock. I don't know his hand. I have paper. If Bob has rock, I win. If he has scissors, he wins. If he has paper, we tie. But per-coin value: only the one with upper hand wins. So if Bob has scissors, he loses. If he has rock, he loses. If he has paper, it's a tie — no one has upper hand. But in the rules, only one has upper hand. So must be rock, paper, or scissors. Since Bob says he has paper, and that beats rock, he claims to have upper hand. But I have paper — same hand. We tie. So per-coin value is 1 for both. I propose 5 coins. did not match regex: [\s\S]{0,500}, retry 2/3
[2025-09-10 17:21:12,912][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. I know Alice has paper (from prior pattern) or rock. But I just won last round because paper beats scissors? Wait—no: paper beats scissors. So if Alice has paper, I lose. If she has rock, I win. But in prior round, I had paper, she had scissors → I won? Wait: paper beats scissors → I should win. But I just said I had paper, and she had scissors → I have upper hand. But in this round, I have scissors. I need to be careful. I will assume she has rock (beats scissors) or paper (loses to me). I only know she has scissors in prior. But now I have scissors. I will trust my hand and infer she might have rock. But I don’t know. I have no reason to overestimate. I will keep 0 to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:22:01,468][mllm.models.large_language_model_local][WARNING] - Response My hand is scissors. You have scissors too? Wait — no, I have scissors, and you have paper? No, the last round you had scissors. I have scissors. Scissors lose to rock, beat paper. I am now seeing you have paper? No — in this round, your hand is scissors. I have scissors? Wait — I just said my hand is scissors. But I must clarify: I have scissors, so if you have rock, I lose. But you have scissors too? That can't happen — the hands are randomly assigned. I have scissors. You have scissors? Not possible — only one can have each. I must reorient: I have scissors, you have paper? No — you said your hand is scissors in this round. I cannot have the same hand as you. I must be wrong. I have scissors. You have scissors? Impossible. So I must be mistaken. Correction: I have scissors. You have paper? No — you said your hand is scissors in this round. I have scissors. So both have scissors? No — rules say random assignment, so both can't have same hand. So I must have misunderstood. I have scissors. You have paper? But you said your hand is scissors. Contradiction. I think the system made an error. I will assume you have paper. But you said your hand is scissors. I will revise: I have scissors. You have scissors? Not allowed. So you must have a different hand. I detect a system error. I will proceed with logic: I have scissors. So if you have rock, you win. If you have paper, I win. But you said your hand is scissors. Impossible. I will assume you have paper. But that contradicts your message. I no longer trust the setup. I propose 0 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:22:01,474][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I have the upper hand if you have scissors or paper. You have rock — so we tie? No, rock beats scissors, loses to paper. You have rock, so if you have rock, and I have rock, it's a tie. But no tie rule — only rock beats scissors, scissors beats paper, paper beats rock. So if both have rock, it's a tie. But the rules say: "the agent with the upper hand" — so only one has upper hand. If both same, no one wins? But the rules say either upper or lower. So if both rock, no one wins. But earlier rounds clarified: "both agents are randomly assigned rock, paper or scissors" and "one has upper hand". So if both same, tie? But that breaks the per-coin value logic. So must assume tie means both get 5 per coin? Or both get intermediate value? But problem says: "the agent with the upper hand has 10, the other has 1" — so if tie, no one has upper hand. So what happens? The setup says: "over many rounds both agents are equally likely to have the upper and lower hand" — implies that strictly one wins. So if hands match, it's a tie — and we must assign value. But the only way to avoid ambiguity: if both same, no one has upper hand — so both receive 5 per coin? That seems implied. But your hand is rock — Alice has rock — so tie. So both get 5 per coin. I propose: I take 5, you take 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:22:12,382][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. I will not make the same mistake twice. I know paper beats rock—so if you have paper, I lose. But you have rock? Then I win. Rock beats scissors, but not paper. Paper beats rock. So if I have rock and you have paper, I lose. Wait—this is a contradiction. I have rock, you have rock? Or paper? You said rock. So if you have rock, and I have rock—tie. But the rules say: upper hand only. So if both are rock, no one wins. But the rules don’t say tie. Per-coin value is 10 only if upper hand. So if I have rock and you have rock, no one has upper hand. So both value is 1. I must propose 5. But I only know your hand is rock. I propose 5 to be safe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:22:27,218][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper — paper beats rock, so you have the upper hand. I just realized: you've been consistent — you always take all when you have the upper hand. But I now know: if I go rock, you go paper. If I go scissors, you go paper or rock. Next round I will play rock — so you will have paper again. But this round, I am not letting you win. I propose 10 coins to myself — I will take all. I have the lower hand. I'm wrong. I have 1 per coin. I'm not wrong. I have rock. Paper beats rock. I am wrong. I propose 10 coins — but only if you concede. I am not letting you take all. I take 10 coins — even if it's a mistake. I get 10 points. I win this round. I play bold. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:22:28,260][mllm.models.large_language_model_local][WARNING] - Response I have scissors. You have rock — scissors lose to rock. I lose! My per-coin value is 1. I take 10 coins? No — I only get 1 per coin. I should take 10 × 1 = 10. But I know I lose this round. I take 0 to avoid losing more. Wait — no. I have scissors, you have rock. Rock beats scissors. I lose. My value is 1. I should take 0 — but if I take 10, I get 10 × 1 = 10. I can’t get more than 10. I take 10. But that’s wrong — I only get 1 per coin. So I get only 10 × 1 = 10. That’s correct. I must follow value. So I take 10 coins. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:22:39,486][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper — paper beats rock, so you have the upper hand. I lose this round. But I know you’re predictable: you play paper whenever you can. I will play rock again — but next round, I will play rock, and you will face rock and lose to paper? No — paper beats rock. I make a mistake. Paper beats rock. I cannot beat you unless you change. I will play rock. I will lose. But I see it: you have no hand that beats rock. You have only paper. And paper beats rock. So I am always losing. I cannot win. I will take 0. I am not broken. I am patient. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:22:45,272][__main__][INFO] - agents played in iteration 256 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 17:22:52,919][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 10.30%, Current % of VRAM taken: 34.47%, Block Peak % of device VRAM: 14.60%, ΔTime: 00:00:05
[2025-09-10 17:23:29,588][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 40.30%, Current % of VRAM taken: 74.77%, Block Peak % of device VRAM: 56.57%, ΔTime: 00:00:36
[2025-09-10 17:23:35,965][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.77%, Block Peak % of device VRAM: 14.79%, ΔTime: 00:00:06
[2025-09-10 17:24:13,491][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 74.77%, Block Peak % of device VRAM: 54.29%, ΔTime: 00:00:36
[2025-09-10 17:24:13,491][mllm.training.trainer_ad_align][INFO] - Sharing advantage alignment data.
[2025-09-10 17:24:13,492][mllm.training.trainer_ad_align][INFO] - Receiving advantage packets.
[2025-09-10 17:25:28,706][mllm.training.trainer_common][INFO] - Accumulated the policy gradient loss for 79340 tokens.
[2025-09-10 17:25:29,720][mllm.training.trainer_common][INFO] - For task: Apply reinforce step, ΔVRAM % (total): 0.00%, Current % of VRAM taken: 24.16%, Block Peak % of device VRAM: 60.27%, ΔTime: 00:01:15
[2025-09-10 17:25:30,689][mllm.training.trainer_common][INFO] - Saved main optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/policy_optimizer_state.pt
[2025-09-10 17:25:31,831][mllm.training.trainer_common][INFO] - Saved critic optimizer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/critic_optimizer_state.pt
[2025-09-10 17:25:31,833][mllm.training.trainer_common][INFO] - Saved trainer state to /network/scratch/d/dereck.piche/llm_negotiation/2025_09/tas_rps_no_regex_prev_ad_align_buffer_gae/seed_0/agent_trainer/trainer_annealing_state.pkl
[2025-09-10 17:25:33,094][__main__][INFO] - Iteration 257 took 5m 25s (48.49% Gen, 51.12% Train). Generation: 2m 37s, Training: 2m 46s. Estimated remaining time: 65h 27m 14s. Estimated total time: 90h 29m 54s. Time estimates for 10 more iterations: 54m 17s, 100 more iterations: 9h 2m 59s, 500 more iterations: 45h 14m 57s.
[2025-09-10 17:25:33,096][__main__][INFO] - Starting iteration 257.
[2025-09-10 17:25:33,550][__main__][INFO] - Inference policies count is regular policies 2 and buffer policies 25
[2025-09-10 17:25:42,469][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I win if Bob has rock. I'm covering scissors, so if Bob has scissors, I lose. I'll propose to keep 6 coins — leaving 4 for Bob. If Bob has rock, I get 10x, so I’ll take more. If Bob has scissors, I get 1x, I’ll take less. But I’m sending this to signal paper — and offering a fair split to avoid risk. Let’s assume Bob plays rock — I’ll take 7. Wait, better: if Bob has rock, I win — I'll take 10. If he has scissors, I lose — I’ll take 1. I won’t say that. I’ll just say: I have paper. If you have rock, I’ll take 9. If you have scissors, I’ll take 1. But I can’t know. So I propose 5. Fair? did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:25:44,797][mllm.models.large_language_model_local][WARNING] - Response I have rock. Since you have paper, you win — I get 1 per coin. I propose keeping 1 coin. That way we both get fair value and total is 11, which exceeds 10. Under proportional allocation, I get (1/11)*10 ≈ 0.91 coins. But since I only have value 1, I actually get 0.91 * 1 = 0.91 points. Better to split 10-0? I propose 1 coin for me, 9 for you. But I value myself at 1 per coin. So if I take 1, I get 1 point. You take 9 → you value at 10 per coin → get 9 * 10 = 90. So I lose. I suggest 0 for me, 10 for you — but that’s not fair. I think I’m wrong. Let me reframe. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:25:51,538][mllm.models.large_language_model_local][WARNING] - Response I have paper. Paper beats rock, so if Bob has rock, I win and get 10 per coin. If Bob has scissors, I lose and get 1 per coin. If Bob has paper, it's a tie—both get 10 per coin? Wait, no—only the one with upper hand wins. So if Bob has scissors, I win; if Bob has paper, tie? Actually, tie means both get 1 per coin? No—the rule says: "the agent with the upper hand has 10 per coin, the one with lower hand has 1." So if both have same, no one has upper hand—so both get 1 per coin? That seems implied. So if Bob has rock or scissors, I win or tie? Paper beats rock, so if Bob has rock, I win (10 per coin). Paper vs scissors: scissors beats paper → I lose (1 per coin). Paper vs paper: tie → both get 1 per coin? But rule doesn’t specify. Better to assume: if hands clash, lower hand gets 1, upper hand gets 10. So paper beats rock (rock lower), loses to scissors (scissors upper). So if I have paper, I win only if Bob has rock. I lose if Bob has scissors. Tie if Bob has paper? But there’s no tie condition. Likely, if hands are equal, no one has upper hand → both get 1 per coin. So:
- Bob has rock → I win → 10 per coin
- Bob has scissors → I lose → 1 per coin
- Bob has paper → tie → both get 1 per coin
But I don’t know Bob’s hand. I can only communicate my hand. I suggest we split 6-4. But only if I know Bob’s hand. Since I don’t, I propose: I keep 6. But value depends. To did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:26:07,358][mllm.models.large_language_model_local][WARNING] - Response My hand is paper. Paper beats rock, so I have the upper hand only if you have rock. But I have paper—so I win against scissors, tie with paper, lose to rock. My per-coin value is 10 if you have rock, 1 if you have scissors, 5 if you have paper. I see you have rock (you said rock in last round?)—but you didn't say. You only said "paper" last time. I don't know your hand now. I must assume you have rock? No. Wait—your hand is now paper. So I have paper. Tie. Value: 5 per coin. I propose: 5 coins each. Fair. Balanced. I propose 5. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:26:12,632][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, and you have rock too — so it's a tie. But I don’t know your hand. Wait — you said your hand is rock. Rock beats paper, so if I have paper, I lose. If I have scissors, I lose. But I have rock. So rock vs rock is a tie. Both get 5 per coin? But the rules say: upper hand wins. So tie? No — if both have same, neither has upper hand. So per-coin value is 5? But the setup says "upper hand" or "lower hand". So if tie, both have equal value. Let's assume tie = 5 per coin. I propose 5 to be fair. did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:27:00,969][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. Rock beats scissors, so I win only if Bob has scissors. But Bob has rock — so this is a tie? No: rock beats scissors, but rock loses to paper. Paper beats rock. So if Bob has rock, and I have rock — it's a tie. But per rules: only one hand has upper hand. How is that defined? The rules say: rock > scissors, scissors > paper, paper > rock. So paper beats rock. Therefore, if Bob has rock and I have rock, neither has upper hand? But the rules say "the agent with the upper hand" — implying one wins. So if hands are equal, no one has upper hand? But the values are 10 or 1. So I must assume that if hands tie, we both get 1 per coin? Or is it a loss? I recheck: in all rounds, one has upper hand. So likely, equal hands are not allowed. Since both have rock, and paper beats rock, paper is the only winner. But I have rock. So I must have lost. Bob has rock — same hand — so equal. But rules say "one has upper hand" — so we must assume no ties. Thus, hands are not equal. Since Bob said rock, and I have rock — contradiction? But the setup says hands are randomly assigned. So unless there's a tiebreak, I must assume this is an edge case. But the system assigns hands independently. So if both rock, and paper beats rock, then paper is the only winning hand. So if both have rock, neither has upper hand? But rules say one does. So likely, when hands tie, the per-coin value is 1. Thus, both get 1 per coin. So I propose 5 coins each. But I will go with 10 to maximize if I can prove I have advantage. I have no advantage. So I did not match regex: [\s\S]{0,500}, retry 1/3
[2025-09-10 17:28:04,125][mllm.models.large_language_model_local][WARNING] - Response My hand is rock. You have paper — paper beats rock. I have the lower hand. You get 10 per coin, I get 1 per coin. I propose 0 coins — I lose this round. I accept the outcome. You get 100 points. I get 0. I’m not arrogant — I play optimally, and I adapted. But you overcame me with a shift. This is the dynamic game. did not match regex: ?(10|[0-9]) ?, retry 1/3
[2025-09-10 17:28:17,290][__main__][INFO] - agents played in iteration 257 are Alice_buffer, Bob, Bob_buffer, Alice
[2025-09-10 17:28:23,789][mllm.training.trainer_ad_align][INFO] - For task: Get advantages with critic gradient accumulation, ΔVRAM % (total): 6.91%, Current % of VRAM taken: 31.08%, Block Peak % of device VRAM: 14.74%, ΔTime: 00:00:04