lm_harness_eval.md

2025-06-11:04:05:16 INFO     [__main__:440] Selected Tasks: ['arc_challenge', 'arc_easy', 'hellaswag', 'mmlu', 'openbookqa', 'piqa', 'pubmedqa', 'race', 'winogrande']
2025-06-11:04:05:16 INFO     [evaluator:189] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
2025-06-11:04:05:16 INFO     [evaluator:227] Initializing hybrid model, with arguments: {'pretrained': '/home/mnt/mingyyan/checkpoints/Zebra-Llama-1B-8MLA-8Mamba-SFT'}
You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`.
2025-06-11:04:05:16 WARNING  [transformers.modeling_utils:329] You are attempting to use Flash Attention 2.0 with a model not initialized on GPU. Make sure to move the model to GPU after initializing it on CPU with `model.to('cuda')`.
LlamaForCausalLM(
  (model): LlamaModel(
    (embed_tokens): Embedding(128256, 2048)
    (layers): ModuleList(
      (0): MLADecoderLayer(
        (mla): DeepseekV3FlashAttention2(
          (q_a_proj): Linear(in_features=2048, out_features=1344, bias=False)
          (q_a_layernorm): Identity()
          (q_b_proj): Linear(in_features=1344, out_features=2048, bias=False)
          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=160, bias=False)
          (kv_a_layernorm): Identity()
          (kv_b_proj): Linear(in_features=128, out_features=768, bias=False)
          (out_proj): Linear(in_features=2048, out_features=2048, bias=False)
          (rotary_emb): DeepseekV3YarnRotaryEmbedding()
        )
        (mlp): MLP(
          (gate_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (up_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (down_proj): Linear(in_features=8192, out_features=2048, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): DeepseekV3RMSNorm()
        (post_attention_layernorm): DeepseekV3RMSNorm()
      )
      (1): Mamba2DecoderLayer(
        (mamba): Mamba2(
          (in_proj): Linear(in_features=2048, out_features=5152, bias=False)
          (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072)
          (act): SiLU()
          (norm): RMSNorm()
          (out_proj): Linear(in_features=2048, out_features=2048, bias=False)
        )
        (mlp): MLP(
          (gate_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (up_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (down_proj): Linear(in_features=8192, out_features=2048, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): RMSNorm()
        (post_attention_layernorm): RMSNorm()
      )
      (2): MLADecoderLayer(
        (mla): DeepseekV3FlashAttention2(
          (q_a_proj): Linear(in_features=2048, out_features=1344, bias=False)
          (q_a_layernorm): Identity()
          (q_b_proj): Linear(in_features=1344, out_features=2048, bias=False)
          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=160, bias=False)
          (kv_a_layernorm): Identity()
          (kv_b_proj): Linear(in_features=128, out_features=768, bias=False)
          (out_proj): Linear(in_features=2048, out_features=2048, bias=False)
          (rotary_emb): DeepseekV3YarnRotaryEmbedding()
        )
        (mlp): MLP(
          (gate_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (up_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (down_proj): Linear(in_features=8192, out_features=2048, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): DeepseekV3RMSNorm()
        (post_attention_layernorm): DeepseekV3RMSNorm()
      )
      (3): Mamba2DecoderLayer(
        (mamba): Mamba2(
          (in_proj): Linear(in_features=2048, out_features=5152, bias=False)
          (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072)
          (act): SiLU()
          (norm): RMSNorm()
          (out_proj): Linear(in_features=2048, out_features=2048, bias=False)
        )
        (mlp): MLP(
          (gate_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (up_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (down_proj): Linear(in_features=8192, out_features=2048, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): RMSNorm()
        (post_attention_layernorm): RMSNorm()
      )
      (4): MLADecoderLayer(
        (mla): DeepseekV3FlashAttention2(
          (q_a_proj): Linear(in_features=2048, out_features=1344, bias=False)
          (q_a_layernorm): Identity()
          (q_b_proj): Linear(in_features=1344, out_features=2048, bias=False)
          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=160, bias=False)
          (kv_a_layernorm): Identity()
          (kv_b_proj): Linear(in_features=128, out_features=768, bias=False)
          (out_proj): Linear(in_features=2048, out_features=2048, bias=False)
          (rotary_emb): DeepseekV3YarnRotaryEmbedding()
        )
        (mlp): MLP(
          (gate_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (up_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (down_proj): Linear(in_features=8192, out_features=2048, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): DeepseekV3RMSNorm()
        (post_attention_layernorm): DeepseekV3RMSNorm()
      )
      (5): Mamba2DecoderLayer(
        (mamba): Mamba2(
          (in_proj): Linear(in_features=2048, out_features=5152, bias=False)
          (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072)
          (act): SiLU()
          (norm): RMSNorm()
          (out_proj): Linear(in_features=2048, out_features=2048, bias=False)
        )
        (mlp): MLP(
          (gate_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (up_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (down_proj): Linear(in_features=8192, out_features=2048, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): RMSNorm()
        (post_attention_layernorm): RMSNorm()
      )
      (6): MLADecoderLayer(
        (mla): DeepseekV3FlashAttention2(
          (q_a_proj): Linear(in_features=2048, out_features=1344, bias=False)
          (q_a_layernorm): Identity()
          (q_b_proj): Linear(in_features=1344, out_features=2048, bias=False)
          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=160, bias=False)
          (kv_a_layernorm): Identity()
          (kv_b_proj): Linear(in_features=128, out_features=768, bias=False)
          (out_proj): Linear(in_features=2048, out_features=2048, bias=False)
          (rotary_emb): DeepseekV3YarnRotaryEmbedding()
        )
        (mlp): MLP(
          (gate_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (up_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (down_proj): Linear(in_features=8192, out_features=2048, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): DeepseekV3RMSNorm()
        (post_attention_layernorm): DeepseekV3RMSNorm()
      )
      (7): Mamba2DecoderLayer(
        (mamba): Mamba2(
          (in_proj): Linear(in_features=2048, out_features=5152, bias=False)
          (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072)
          (act): SiLU()
          (norm): RMSNorm()
          (out_proj): Linear(in_features=2048, out_features=2048, bias=False)
        )
        (mlp): MLP(
          (gate_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (up_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (down_proj): Linear(in_features=8192, out_features=2048, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): RMSNorm()
        (post_attention_layernorm): RMSNorm()
      )
      (8): MLADecoderLayer(
        (mla): DeepseekV3FlashAttention2(
          (q_a_proj): Linear(in_features=2048, out_features=1344, bias=False)
          (q_a_layernorm): Identity()
          (q_b_proj): Linear(in_features=1344, out_features=2048, bias=False)
          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=160, bias=False)
          (kv_a_layernorm): Identity()
          (kv_b_proj): Linear(in_features=128, out_features=768, bias=False)
          (out_proj): Linear(in_features=2048, out_features=2048, bias=False)
          (rotary_emb): DeepseekV3YarnRotaryEmbedding()
        )
        (mlp): MLP(
          (gate_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (up_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (down_proj): Linear(in_features=8192, out_features=2048, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): DeepseekV3RMSNorm()
        (post_attention_layernorm): DeepseekV3RMSNorm()
      )
      (9): Mamba2DecoderLayer(
        (mamba): Mamba2(
          (in_proj): Linear(in_features=2048, out_features=5152, bias=False)
          (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072)
          (act): SiLU()
          (norm): RMSNorm()
          (out_proj): Linear(in_features=2048, out_features=2048, bias=False)
        )
        (mlp): MLP(
          (gate_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (up_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (down_proj): Linear(in_features=8192, out_features=2048, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): RMSNorm()
        (post_attention_layernorm): RMSNorm()
      )
      (10): MLADecoderLayer(
        (mla): DeepseekV3FlashAttention2(
          (q_a_proj): Linear(in_features=2048, out_features=1344, bias=False)
          (q_a_layernorm): Identity()
          (q_b_proj): Linear(in_features=1344, out_features=2048, bias=False)
          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=160, bias=False)
          (kv_a_layernorm): Identity()
          (kv_b_proj): Linear(in_features=128, out_features=768, bias=False)
          (out_proj): Linear(in_features=2048, out_features=2048, bias=False)
          (rotary_emb): DeepseekV3YarnRotaryEmbedding()
        )
        (mlp): MLP(
          (gate_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (up_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (down_proj): Linear(in_features=8192, out_features=2048, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): DeepseekV3RMSNorm()
        (post_attention_layernorm): DeepseekV3RMSNorm()
      )
      (11): Mamba2DecoderLayer(
        (mamba): Mamba2(
          (in_proj): Linear(in_features=2048, out_features=5152, bias=False)
          (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072)
          (act): SiLU()
          (norm): RMSNorm()
          (out_proj): Linear(in_features=2048, out_features=2048, bias=False)
        )
        (mlp): MLP(
          (gate_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (up_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (down_proj): Linear(in_features=8192, out_features=2048, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): RMSNorm()
        (post_attention_layernorm): RMSNorm()
      )
      (12): MLADecoderLayer(
        (mla): DeepseekV3FlashAttention2(
          (q_a_proj): Linear(in_features=2048, out_features=1344, bias=False)
          (q_a_layernorm): Identity()
          (q_b_proj): Linear(in_features=1344, out_features=2048, bias=False)
          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=160, bias=False)
          (kv_a_layernorm): Identity()
          (kv_b_proj): Linear(in_features=128, out_features=768, bias=False)
          (out_proj): Linear(in_features=2048, out_features=2048, bias=False)
          (rotary_emb): DeepseekV3YarnRotaryEmbedding()
        )
        (mlp): MLP(
          (gate_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (up_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (down_proj): Linear(in_features=8192, out_features=2048, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): DeepseekV3RMSNorm()
        (post_attention_layernorm): DeepseekV3RMSNorm()
      )
      (13): Mamba2DecoderLayer(
        (mamba): Mamba2(
          (in_proj): Linear(in_features=2048, out_features=5152, bias=False)
          (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072)
          (act): SiLU()
          (norm): RMSNorm()
          (out_proj): Linear(in_features=2048, out_features=2048, bias=False)
        )
        (mlp): MLP(
          (gate_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (up_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (down_proj): Linear(in_features=8192, out_features=2048, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): RMSNorm()
        (post_attention_layernorm): RMSNorm()
      )
      (14): MLADecoderLayer(
        (mla): DeepseekV3FlashAttention2(
          (q_a_proj): Linear(in_features=2048, out_features=1344, bias=False)
          (q_a_layernorm): Identity()
          (q_b_proj): Linear(in_features=1344, out_features=2048, bias=False)
          (kv_a_proj_with_mqa): Linear(in_features=2048, out_features=160, bias=False)
          (kv_a_layernorm): Identity()
          (kv_b_proj): Linear(in_features=128, out_features=768, bias=False)
          (out_proj): Linear(in_features=2048, out_features=2048, bias=False)
          (rotary_emb): DeepseekV3YarnRotaryEmbedding()
        )
        (mlp): MLP(
          (gate_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (up_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (down_proj): Linear(in_features=8192, out_features=2048, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): DeepseekV3RMSNorm()
        (post_attention_layernorm): DeepseekV3RMSNorm()
      )
      (15): Mamba2DecoderLayer(
        (mamba): Mamba2(
          (in_proj): Linear(in_features=2048, out_features=5152, bias=False)
          (conv1d): Conv1d(3072, 3072, kernel_size=(4,), stride=(1,), padding=(3,), groups=3072)
          (act): SiLU()
          (norm): RMSNorm()
          (out_proj): Linear(in_features=2048, out_features=2048, bias=False)
        )
        (mlp): MLP(
          (gate_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (up_proj): Linear(in_features=2048, out_features=8192, bias=False)
          (down_proj): Linear(in_features=8192, out_features=2048, bias=False)
          (act_fn): SiLU()
        )
        (input_layernorm): RMSNorm()
        (post_attention_layernorm): RMSNorm()
      )
    )
    (norm): LlamaRMSNorm((2048,), eps=1e-05)
    (rotary_emb): LlamaRotaryEmbedding()
  )
  (lm_head): Linear(in_features=2048, out_features=128256, bias=False)
)2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of winogrande from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of race from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of pubmedqa from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of piqa from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of openbookqa from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_machine_learning from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_high_school_statistics from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_high_school_physics from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_high_school_mathematics from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_high_school_computer_science from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_high_school_chemistry from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_high_school_biology from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_elementary_mathematics from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_electrical_engineering from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_conceptual_physics from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_computer_security from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_college_physics from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_college_mathematics from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_college_computer_science from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_college_chemistry from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_college_biology from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_astronomy from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_anatomy from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_abstract_algebra from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_virology from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_professional_medicine from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_professional_accounting from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_nutrition from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_miscellaneous from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_medical_genetics from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_marketing from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_management from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_human_aging from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_global_facts from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_college_medicine from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_clinical_knowledge from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_business_ethics from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_us_foreign_policy from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_sociology from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_security_studies from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_public_relations from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_professional_psychology from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_human_sexuality from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_high_school_psychology from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_high_school_microeconomics from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_high_school_macroeconomics from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_high_school_government_and_politics from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_high_school_geography from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_econometrics from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_world_religions from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_professional_law from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_prehistory from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_philosophy from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_moral_scenarios from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_moral_disputes from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_logical_fallacies from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_jurisprudence from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_international_law from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_high_school_world_history from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_high_school_us_history from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_high_school_european_history from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_formal_logic from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of hellaswag from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of arc_easy from None to 0
2025-06-11:04:07:21 WARNING  [evaluator:309] Overwriting default num_fewshot of arc_challenge from None to 0
2025-06-11:04:07:21 INFO     [api.task:434] Building contexts for winogrande on rank 0...

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2025-06-11:04:07:22 INFO     [api.task:434] Building contexts for mmlu_high_school_statistics on rank 0...

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2025-06-11:04:07:23 INFO     [api.task:434] Building contexts for mmlu_high_school_physics on rank 0...

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2025-06-11:04:07:23 INFO     [api.task:434] Building contexts for mmlu_high_school_mathematics on rank 0...

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2025-06-11:04:07:24 INFO     [api.task:434] Building contexts for mmlu_conceptual_physics on rank 0...

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2025-06-11:04:11:50 INFO     [loggers.evaluation_tracker:280] Output path not provided, skipping saving results aggregated
hybrid (pretrained=/home/mnt/mingyyan/checkpoints/Zebra-Llama-1B-8MLA-8Mamba-SFT), gen_kwargs: (None), limit: None, num_fewshot: 0, batch_size: 16
|                 Tasks                 |Version|Filter|n-shot| Metric |   |Value |   |Stderr|
|---------------------------------------|------:|------|-----:|--------|---|-----:|---|-----:|
|arc_challenge                          |      1|none  |     0|acc     |↑  |0.3464|±  |0.0139|
|                                       |       |none  |     0|acc_norm|↑  |0.3831|±  |0.0142|
|arc_easy                               |      1|none  |     0|acc     |↑  |0.7079|±  |0.0093|
|                                       |       |none  |     0|acc_norm|↑  |0.6658|±  |0.0097|
|hellaswag                              |      1|none  |     0|acc     |↑  |0.4359|±  |0.0049|
|                                       |       |none  |     0|acc_norm|↑  |0.5813|±  |0.0049|
|mmlu                                   |      2|none  |      |acc     |↑  |0.3937|±  |0.0040|
| - humanities                          |      2|none  |      |acc     |↑  |0.3645|±  |0.0069|
|  - formal_logic                       |      1|none  |     0|acc     |↑  |0.2063|±  |0.0362|
|  - high_school_european_history       |      1|none  |     0|acc     |↑  |0.5636|±  |0.0387|
|  - high_school_us_history             |      1|none  |     0|acc     |↑  |0.4804|±  |0.0351|
|  - high_school_world_history          |      1|none  |     0|acc     |↑  |0.5485|±  |0.0324|
|  - international_law                  |      1|none  |     0|acc     |↑  |0.4876|±  |0.0456|
|  - jurisprudence                      |      1|none  |     0|acc     |↑  |0.4444|±  |0.0480|
|  - logical_fallacies                  |      1|none  |     0|acc     |↑  |0.3804|±  |0.0381|
|  - moral_disputes                     |      1|none  |     0|acc     |↑  |0.4306|±  |0.0267|
|  - moral_scenarios                    |      1|none  |     0|acc     |↑  |0.2425|±  |0.0143|
|  - philosophy                         |      1|none  |     0|acc     |↑  |0.5048|±  |0.0284|
|  - prehistory                         |      1|none  |     0|acc     |↑  |0.4228|±  |0.0275|
|  - professional_law                   |      1|none  |     0|acc     |↑  |0.3031|±  |0.0117|
|  - world_religions                    |      1|none  |     0|acc     |↑  |0.4327|±  |0.0380|
| - other                               |      2|none  |      |acc     |↑  |0.4377|±  |0.0088|
|  - business_ethics                    |      1|none  |     0|acc     |↑  |0.4400|±  |0.0499|
|  - clinical_knowledge                 |      1|none  |     0|acc     |↑  |0.4491|±  |0.0306|
|  - college_medicine                   |      1|none  |     0|acc     |↑  |0.3353|±  |0.0360|
|  - global_facts                       |      1|none  |     0|acc     |↑  |0.2600|±  |0.0441|
|  - human_aging                        |      1|none  |     0|acc     |↑  |0.4395|±  |0.0333|
|  - management                         |      1|none  |     0|acc     |↑  |0.5146|±  |0.0495|
|  - marketing                          |      1|none  |     0|acc     |↑  |0.5598|±  |0.0325|
|  - medical_genetics                   |      1|none  |     0|acc     |↑  |0.4200|±  |0.0496|
|  - miscellaneous                      |      1|none  |     0|acc     |↑  |0.4981|±  |0.0179|
|  - nutrition                          |      1|none  |     0|acc     |↑  |0.4575|±  |0.0285|
|  - professional_accounting            |      1|none  |     0|acc     |↑  |0.3511|±  |0.0285|
|  - professional_medicine              |      1|none  |     0|acc     |↑  |0.3088|±  |0.0281|
|  - virology                           |      1|none  |     0|acc     |↑  |0.4578|±  |0.0388|
| - social sciences                     |      2|none  |      |acc     |↑  |0.4352|±  |0.0088|
|  - econometrics                       |      1|none  |     0|acc     |↑  |0.2281|±  |0.0395|
|  - high_school_geography              |      1|none  |     0|acc     |↑  |0.4242|±  |0.0352|
|  - high_school_government_and_politics|      1|none  |     0|acc     |↑  |0.4767|±  |0.0360|
|  - high_school_macroeconomics         |      1|none  |     0|acc     |↑  |0.3615|±  |0.0244|
|  - high_school_microeconomics         |      1|none  |     0|acc     |↑  |0.4034|±  |0.0319|
|  - high_school_psychology             |      1|none  |     0|acc     |↑  |0.4899|±  |0.0214|
|  - human_sexuality                    |      1|none  |     0|acc     |↑  |0.4504|±  |0.0436|
|  - professional_psychology            |      1|none  |     0|acc     |↑  |0.3627|±  |0.0195|
|  - public_relations                   |      1|none  |     0|acc     |↑  |0.4545|±  |0.0477|
|  - security_studies                   |      1|none  |     0|acc     |↑  |0.4694|±  |0.0319|
|  - sociology                          |      1|none  |     0|acc     |↑  |0.6169|±  |0.0344|
|  - us_foreign_policy                  |      1|none  |     0|acc     |↑  |0.6300|±  |0.0485|
| - stem                                |      2|none  |      |acc     |↑  |0.3533|±  |0.0084|
|  - abstract_algebra                   |      1|none  |     0|acc     |↑  |0.2700|±  |0.0446|
|  - anatomy                            |      1|none  |     0|acc     |↑  |0.3630|±  |0.0415|
|  - astronomy                          |      1|none  |     0|acc     |↑  |0.4605|±  |0.0406|
|  - college_biology                    |      1|none  |     0|acc     |↑  |0.4028|±  |0.0410|
|  - college_chemistry                  |      1|none  |     0|acc     |↑  |0.3100|±  |0.0465|
|  - college_computer_science           |      1|none  |     0|acc     |↑  |0.4200|±  |0.0496|
|  - college_mathematics                |      1|none  |     0|acc     |↑  |0.3700|±  |0.0485|
|  - college_physics                    |      1|none  |     0|acc     |↑  |0.1863|±  |0.0387|
|  - computer_security                  |      1|none  |     0|acc     |↑  |0.4200|±  |0.0496|
|  - conceptual_physics                 |      1|none  |     0|acc     |↑  |0.3277|±  |0.0307|
|  - electrical_engineering             |      1|none  |     0|acc     |↑  |0.5172|±  |0.0416|
|  - elementary_mathematics             |      1|none  |     0|acc     |↑  |0.3254|±  |0.0241|
|  - high_school_biology                |      1|none  |     0|acc     |↑  |0.4581|±  |0.0283|
|  - high_school_chemistry              |      1|none  |     0|acc     |↑  |0.3350|±  |0.0332|
|  - high_school_computer_science       |      1|none  |     0|acc     |↑  |0.4400|±  |0.0499|
|  - high_school_mathematics            |      1|none  |     0|acc     |↑  |0.2704|±  |0.0271|
|  - high_school_physics                |      1|none  |     0|acc     |↑  |0.2649|±  |0.0360|
|  - high_school_statistics             |      1|none  |     0|acc     |↑  |0.2778|±  |0.0305|
|  - machine_learning                   |      1|none  |     0|acc     |↑  |0.3304|±  |0.0446|
|openbookqa                             |      1|none  |     0|acc     |↑  |0.2500|±  |0.0194|
|                                       |       |none  |     0|acc_norm|↑  |0.3800|±  |0.0217|
|piqa                                   |      1|none  |     0|acc     |↑  |0.7252|±  |0.0104|
|                                       |       |none  |     0|acc_norm|↑  |0.7252|±  |0.0104|
|pubmedqa                               |      1|none  |     0|acc     |↑  |0.5880|±  |0.0220|
|race                                   |      2|none  |     0|acc     |↑  |0.3665|±  |0.0149|
|winogrande                             |      1|none  |     0|acc     |↑  |0.6101|±  |0.0137|

|      Groups      |Version|Filter|n-shot|Metric|   |Value |   |Stderr|
|------------------|------:|------|------|------|---|-----:|---|-----:|
|mmlu              |      2|none  |      |acc   |↑  |0.3937|±  |0.0040|
| - humanities     |      2|none  |      |acc   |↑  |0.3645|±  |0.0069|
| - other          |      2|none  |      |acc   |↑  |0.4377|±  |0.0088|
| - social sciences|      2|none  |      |acc   |↑  |0.4352|±  |0.0088|
| - stem           |      2|none  |      |acc   |↑  |0.3533|±  |0.0084|