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lm_eval/meta-llama__Llama-3.2-3B/humaneval_0.4.8_results_2025-03-09T10-55-43.014396.json

@@ -0,0 +1,131 @@
+{
+  "results": {
+    "humaneval": {
+      "alias": "humaneval",
+      "pass@1,create_test": 0.2621951219512195,
+      "pass@1_stderr,create_test": 0.034450002891734645
+    }
+  },
+  "group_subtasks": {
+    "humaneval": []
+  },
+  "configs": {
+    "humaneval": {
+      "task": "humaneval",
+      "dataset_path": "openai/openai_humaneval",
+      "test_split": "test",
+      "doc_to_text": "{{prompt}}",
+      "doc_to_target": "{{test}}\ncheck({{entry_point}})",
+      "unsafe_code": true,
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "def pass_at_k(references: list[str], predictions: list[list[str]], k: list[int] = None):\n    global compute_\n    assert k is not None\n    if isinstance(k, int):\n        k = [k]\n    res = compute_.compute(\n        references=references,\n        predictions=predictions,\n        k=k,\n    )\n    return res[0]\n",
+          "aggregation": "mean",
+          "higher_is_better": true,
+          "k": [
+            1
+          ]
+        }
+      ],
+      "output_type": "generate_until",
+      "generation_kwargs": {
+        "until": [
+          "\nclass",
+          "\ndef",
+          "\n#",
+          "\nif",
+          "\nprint"
+        ],
+        "max_gen_toks": 1024,
+        "do_sample": false
+      },
+      "repeats": 1,
+      "filter_list": [
+        {
+          "name": "create_test",
+          "filter": [
+            {
+              "function": "custom",
+              "filter_fn": "<function build_predictions at 0x7cae74eed000>"
+            }
+          ]
+        }
+      ],
+      "should_decontaminate": false,
+      "metadata": {
+        "version": 1.0
+      }
+    }
+  },
+  "versions": {
+    "humaneval": 1.0
+  },
+  "n-shot": {
+    "humaneval": 0
+  },
+  "higher_is_better": {
+    "humaneval": {
+      "pass_at_k": true
+    }
+  },
+  "n-samples": {
+    "humaneval": {
+      "original": 164,
+      "effective": 164
+    }
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=meta-llama/Llama-3.2-3B,dtype=float32,trust_remote_code=True",
+    "model_num_parameters": 3212749824,
+    "model_dtype": "torch.float32",
+    "model_revision": "main",
+    "model_sha": "13afe5124825b4f3751f836b40dafda64c1ed062",
+    "batch_size": "auto",
+    "batch_sizes": [],
+    "device": "cuda",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null,
+    "random_seed": 0,
+    "numpy_seed": 1234,
+    "torch_seed": 1234,
+    "fewshot_seed": 1234
+  },
+  "git_hash": null,
+  "date": 1741516707.445278,
+  "pretty_env_info": "PyTorch version: 2.5.1+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to build PyTorch: N/A\n\nOS: Ubuntu 22.04.3 LTS (x86_64)\nGCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0\nClang version: 14.0.0-1ubuntu1.1\nCMake version: version 3.31.2\nLibc version: glibc-2.35\n\nPython version: 3.10.12 (main, Nov  6 2024, 20:22:13) [GCC 11.4.0] (64-bit runtime)\nPython platform: Linux-6.6.56+-x86_64-with-glibc2.35\nIs CUDA available: True\nCUDA runtime version: 12.2.140\nCUDA_MODULE_LOADING set to: LAZY\nGPU models and configuration: \nGPU 0: Tesla T4\nGPU 1: Tesla T4\n\nNvidia driver version: 560.35.03\ncuDNN version: Probably one of the following:\n/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.6\nHIP runtime version: N/A\nMIOpen runtime version: N/A\nIs XNNPACK available: True\n\nCPU:\nArchitecture:                         x86_64\nCPU op-mode(s):                       32-bit, 64-bit\nAddress sizes:                        46 bits physical, 48 bits virtual\nByte Order:                           Little Endian\nCPU(s):                               4\nOn-line CPU(s) list:                  0-3\nVendor ID:                            GenuineIntel\nModel name:                           Intel(R) Xeon(R) CPU @ 2.00GHz\nCPU family:                           6\nModel:                                85\nThread(s) per core:                   2\nCore(s) per socket:                   2\nSocket(s):                            1\nStepping:                             3\nBogoMIPS:                             4000.28\nFlags:                                fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch pti ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat md_clear arch_capabilities\nHypervisor vendor:                    KVM\nVirtualization type:                  full\nL1d cache:                            64 KiB (2 instances)\nL1i cache:                            64 KiB (2 instances)\nL2 cache:                             2 MiB (2 instances)\nL3 cache:                             38.5 MiB (1 instance)\nNUMA node(s):                         1\nNUMA node0 CPU(s):                    0-3\nVulnerability Gather data sampling:   Not affected\nVulnerability Itlb multihit:          Not affected\nVulnerability L1tf:                   Mitigation; PTE Inversion\nVulnerability Mds:                    Mitigation; Clear CPU buffers; SMT Host state unknown\nVulnerability Meltdown:               Mitigation; PTI\nVulnerability Mmio stale data:        Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown\nVulnerability Reg file data sampling: Not affected\nVulnerability Retbleed:               Mitigation; IBRS\nVulnerability Spec rstack overflow:   Not affected\nVulnerability Spec store bypass:      Mitigation; Speculative Store Bypass disabled via prctl\nVulnerability Spectre v1:             Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2:             Mitigation; IBRS; IBPB conditional; STIBP conditional; RSB filling; PBRSB-eIBRS Not affected; BHI SW loop, KVM SW loop\nVulnerability Srbds:                  Not affected\nVulnerability Tsx async abort:        Mitigation; Clear CPU buffers; SMT Host state unknown\n\nVersions of relevant libraries:\n[pip3] mypy-extensions==1.0.0\n[pip3] numpy==1.26.4\n[pip3] onnx==1.17.0\n[pip3] optree==0.13.1\n[pip3] pytorch-ignite==0.5.1\n[pip3] pytorch-lightning==2.5.0.post0\n[pip3] torch==2.5.1+cu121\n[pip3] torchaudio==2.5.1+cu121\n[pip3] torchinfo==1.8.0\n[pip3] torchmetrics==1.6.1\n[pip3] torchsummary==1.5.1\n[pip3] torchtune==0.5.0\n[pip3] torchvision==0.20.1+cu121\n[conda] Could not collect",
+  "transformers_version": "4.47.0",
+  "upper_git_hash": null,
+  "tokenizer_pad_token": [
+    "<|end_of_text|>",
+    "128001"
+  ],
+  "tokenizer_eos_token": [
+    "<|end_of_text|>",
+    "128001"
+  ],
+  "tokenizer_bos_token": [
+    "<|begin_of_text|>",
+    "128000"
+  ],
+  "eot_token_id": 128001,
+  "max_length": 131072,
+  "task_hashes": {},
+  "model_source": "hf",
+  "model_name": "meta-llama/Llama-3.2-3B",
+  "model_name_sanitized": "meta-llama__Llama-3.2-3B",
+  "system_instruction": null,
+  "system_instruction_sha": null,
+  "fewshot_as_multiturn": false,
+  "chat_template": null,
+  "chat_template_sha": null,
+  "start_time": 7383.679866534,
+  "end_time": 8435.206068245,
+  "total_evaluation_time_seconds": "1051.526201710999"
+}

lm_eval/meta-llama__Llama-3.2-3B/results_2025-03-05T14-23-45.341028.json

@@ -0,0 +1,123 @@
+{
+  "results": {
+    "lambada_openai": {
+      "perplexity,none": 3.9425084889549575,
+      "perplexity_stderr,none": 0.08280551645968916,
+      "acc,none": 0.7054143217543178,
+      "acc_stderr,none": 0.006350969451144858,
+      "alias": "lambada_openai"
+    }
+  },
+  "group_subtasks": {
+    "lambada_openai": []
+  },
+  "configs": {
+    "lambada_openai": {
+      "task": "lambada_openai",
+      "group": [
+        "lambada"
+      ],
+      "dataset_path": "EleutherAI/lambada_openai",
+      "dataset_name": "default",
+      "dataset_kwargs": {
+        "trust_remote_code": true
+      },
+      "test_split": "test",
+      "doc_to_text": "{{text.split(' ')[:-1]|join(' ')}}",
+      "doc_to_target": "{{' '+text.split(' ')[-1]}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "perplexity",
+          "aggregation": "perplexity",
+          "higher_is_better": false
+        },
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "loglikelihood",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "{{text}}",
+      "metadata": {
+        "version": 1.0
+      }
+    }
+  },
+  "versions": {
+    "lambada_openai": 1.0
+  },
+  "n-shot": {
+    "lambada_openai": 0
+  },
+  "higher_is_better": {
+    "lambada_openai": {
+      "perplexity": false,
+      "acc": true
+    }
+  },
+  "n-samples": {
+    "lambada_openai": {
+      "original": 5153,
+      "effective": 5153
+    }
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=meta-llama/Llama-3.2-3B,dtype=float32,trust_remote_code=True",
+    "model_num_parameters": 3212749824,
+    "model_dtype": "torch.float32",
+    "model_revision": "main",
+    "model_sha": "13afe5124825b4f3751f836b40dafda64c1ed062",
+    "batch_size": "auto",
+    "batch_sizes": [
+      8
+    ],
+    "device": "cuda",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null,
+    "random_seed": 0,
+    "numpy_seed": 1234,
+    "torch_seed": 1234,
+    "fewshot_seed": 1234
+  },
+  "git_hash": null,
+  "date": 1741183767.1865582,
+  "pretty_env_info": "PyTorch version: 2.5.1+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to build PyTorch: N/A\n\nOS: Ubuntu 22.04.3 LTS (x86_64)\nGCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0\nClang version: 14.0.0-1ubuntu1.1\nCMake version: version 3.31.2\nLibc version: glibc-2.35\n\nPython version: 3.10.12 (main, Nov  6 2024, 20:22:13) [GCC 11.4.0] (64-bit runtime)\nPython platform: Linux-6.6.56+-x86_64-with-glibc2.35\nIs CUDA available: True\nCUDA runtime version: 12.2.140\nCUDA_MODULE_LOADING set to: LAZY\nGPU models and configuration: \nGPU 0: Tesla T4\nGPU 1: Tesla T4\n\nNvidia driver version: 560.35.03\ncuDNN version: Probably one of the following:\n/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.6\nHIP runtime version: N/A\nMIOpen runtime version: N/A\nIs XNNPACK available: True\n\nCPU:\nArchitecture:                         x86_64\nCPU op-mode(s):                       32-bit, 64-bit\nAddress sizes:                        46 bits physical, 48 bits virtual\nByte Order:                           Little Endian\nCPU(s):                               4\nOn-line CPU(s) list:                  0-3\nVendor ID:                            GenuineIntel\nModel name:                           Intel(R) Xeon(R) CPU @ 2.00GHz\nCPU family:                           6\nModel:                                85\nThread(s) per core:                   2\nCore(s) per socket:                   2\nSocket(s):                            1\nStepping:                             3\nBogoMIPS:                             4000.38\nFlags:                                fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch pti ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat md_clear arch_capabilities\nHypervisor vendor:                    KVM\nVirtualization type:                  full\nL1d cache:                            64 KiB (2 instances)\nL1i cache:                            64 KiB (2 instances)\nL2 cache:                             2 MiB (2 instances)\nL3 cache:                             38.5 MiB (1 instance)\nNUMA node(s):                         1\nNUMA node0 CPU(s):                    0-3\nVulnerability Gather data sampling:   Not affected\nVulnerability Itlb multihit:          Not affected\nVulnerability L1tf:                   Mitigation; PTE Inversion\nVulnerability Mds:                    Mitigation; Clear CPU buffers; SMT Host state unknown\nVulnerability Meltdown:               Mitigation; PTI\nVulnerability Mmio stale data:        Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown\nVulnerability Reg file data sampling: Not affected\nVulnerability Retbleed:               Mitigation; IBRS\nVulnerability Spec rstack overflow:   Not affected\nVulnerability Spec store bypass:      Mitigation; Speculative Store Bypass disabled via prctl\nVulnerability Spectre v1:             Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2:             Mitigation; IBRS; IBPB conditional; STIBP conditional; RSB filling; PBRSB-eIBRS Not affected; BHI SW loop, KVM SW loop\nVulnerability Srbds:                  Not affected\nVulnerability Tsx async abort:        Mitigation; Clear CPU buffers; SMT Host state unknown\n\nVersions of relevant libraries:\n[pip3] mypy-extensions==1.0.0\n[pip3] numpy==1.26.4\n[pip3] onnx==1.17.0\n[pip3] optree==0.13.1\n[pip3] pytorch-ignite==0.5.1\n[pip3] pytorch-lightning==2.5.0.post0\n[pip3] torch==2.5.1+cu121\n[pip3] torchaudio==2.5.1+cu121\n[pip3] torchinfo==1.8.0\n[pip3] torchmetrics==1.6.1\n[pip3] torchsummary==1.5.1\n[pip3] torchtune==0.5.0\n[pip3] torchvision==0.20.1+cu121\n[conda] Could not collect",
+  "transformers_version": "4.47.0",
+  "upper_git_hash": null,
+  "tokenizer_pad_token": [
+    "<|end_of_text|>",
+    128001
+  ],
+  "tokenizer_eos_token": [
+    "<|end_of_text|>",
+    128001
+  ],
+  "tokenizer_bos_token": [
+    "<|begin_of_text|>",
+    128000
+  ],
+  "eot_token_id": 128001,
+  "max_length": 131072,
+  "task_hashes": {},
+  "model_source": "hf",
+  "model_name": "meta-llama/Llama-3.2-3B",
+  "model_name_sanitized": "meta-llama__Llama-3.2-3B",
+  "system_instruction": null,
+  "system_instruction_sha": null,
+  "fewshot_as_multiturn": false,
+  "chat_template": null,
+  "chat_template_sha": null,
+  "start_time": 15853.628074066,
+  "end_time": 16718.171508502,
+  "total_evaluation_time_seconds": "864.5434344360001"
+}

lm_eval/meta-llama__Llama-3.2-3B/results_2025-03-05T15-08-14.503599.json

@@ -0,0 +1,120 @@
+{
+  "results": {
+    "openbookqa": {
+      "acc,none": 0.312,
+      "acc_stderr,none": 0.020740596536488073,
+      "acc_norm,none": 0.43,
+      "acc_norm_stderr,none": 0.02216263442665284,
+      "alias": "openbookqa"
+    }
+  },
+  "group_subtasks": {
+    "openbookqa": []
+  },
+  "configs": {
+    "openbookqa": {
+      "task": "openbookqa",
+      "dataset_path": "openbookqa",
+      "dataset_name": "main",
+      "training_split": "train",
+      "validation_split": "validation",
+      "test_split": "test",
+      "doc_to_text": "question_stem",
+      "doc_to_target": "{{choices.label.index(answerKey.lstrip())}}",
+      "doc_to_choice": "{{choices.text}}",
+      "description": "",
+      "target_delimiter": " ",
+      "fewshot_delimiter": "\n\n",
+      "num_fewshot": 0,
+      "metric_list": [
+        {
+          "metric": "acc",
+          "aggregation": "mean",
+          "higher_is_better": true
+        },
+        {
+          "metric": "acc_norm",
+          "aggregation": "mean",
+          "higher_is_better": true
+        }
+      ],
+      "output_type": "multiple_choice",
+      "repeats": 1,
+      "should_decontaminate": true,
+      "doc_to_decontamination_query": "question_stem",
+      "metadata": {
+        "version": 1.0
+      }
+    }
+  },
+  "versions": {
+    "openbookqa": 1.0
+  },
+  "n-shot": {
+    "openbookqa": 0
+  },
+  "higher_is_better": {
+    "openbookqa": {
+      "acc": true,
+      "acc_norm": true
+    }
+  },
+  "n-samples": {
+    "openbookqa": {
+      "original": 500,
+      "effective": 500
+    }
+  },
+  "config": {
+    "model": "hf",
+    "model_args": "pretrained=meta-llama/Llama-3.2-3B,dtype=float32,trust_remote_code=True",
+    "model_num_parameters": 3212749824,
+    "model_dtype": "torch.float32",
+    "model_revision": "main",
+    "model_sha": "13afe5124825b4f3751f836b40dafda64c1ed062",
+    "batch_size": "auto",
+    "batch_sizes": [
+      16
+    ],
+    "device": "cuda",
+    "use_cache": null,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "gen_kwargs": null,
+    "random_seed": 0,
+    "numpy_seed": 1234,
+    "torch_seed": 1234,
+    "fewshot_seed": 1234
+  },
+  "git_hash": null,
+  "date": 1741187187.2261014,
+  "pretty_env_info": "PyTorch version: 2.5.1+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to build PyTorch: N/A\n\nOS: Ubuntu 22.04.3 LTS (x86_64)\nGCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0\nClang version: 14.0.0-1ubuntu1.1\nCMake version: version 3.31.2\nLibc version: glibc-2.35\n\nPython version: 3.10.12 (main, Nov  6 2024, 20:22:13) [GCC 11.4.0] (64-bit runtime)\nPython platform: Linux-6.6.56+-x86_64-with-glibc2.35\nIs CUDA available: True\nCUDA runtime version: 12.2.140\nCUDA_MODULE_LOADING set to: LAZY\nGPU models and configuration: \nGPU 0: Tesla T4\nGPU 1: Tesla T4\n\nNvidia driver version: 560.35.03\ncuDNN version: Probably one of the following:\n/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.6\nHIP runtime version: N/A\nMIOpen runtime version: N/A\nIs XNNPACK available: True\n\nCPU:\nArchitecture:                         x86_64\nCPU op-mode(s):                       32-bit, 64-bit\nAddress sizes:                        46 bits physical, 48 bits virtual\nByte Order:                           Little Endian\nCPU(s):                               4\nOn-line CPU(s) list:                  0-3\nVendor ID:                            GenuineIntel\nModel name:                           Intel(R) Xeon(R) CPU @ 2.00GHz\nCPU family:                           6\nModel:                                85\nThread(s) per core:                   2\nCore(s) per socket:                   2\nSocket(s):                            1\nStepping:                             3\nBogoMIPS:                             4000.38\nFlags:                                fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch pti ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat md_clear arch_capabilities\nHypervisor vendor:                    KVM\nVirtualization type:                  full\nL1d cache:                            64 KiB (2 instances)\nL1i cache:                            64 KiB (2 instances)\nL2 cache:                             2 MiB (2 instances)\nL3 cache:                             38.5 MiB (1 instance)\nNUMA node(s):                         1\nNUMA node0 CPU(s):                    0-3\nVulnerability Gather data sampling:   Not affected\nVulnerability Itlb multihit:          Not affected\nVulnerability L1tf:                   Mitigation; PTE Inversion\nVulnerability Mds:                    Mitigation; Clear CPU buffers; SMT Host state unknown\nVulnerability Meltdown:               Mitigation; PTI\nVulnerability Mmio stale data:        Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown\nVulnerability Reg file data sampling: Not affected\nVulnerability Retbleed:               Mitigation; IBRS\nVulnerability Spec rstack overflow:   Not affected\nVulnerability Spec store bypass:      Mitigation; Speculative Store Bypass disabled via prctl\nVulnerability Spectre v1:             Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2:             Mitigation; IBRS; IBPB conditional; STIBP conditional; RSB filling; PBRSB-eIBRS Not affected; BHI SW loop, KVM SW loop\nVulnerability Srbds:                  Not affected\nVulnerability Tsx async abort:        Mitigation; Clear CPU buffers; SMT Host state unknown\n\nVersions of relevant libraries:\n[pip3] mypy-extensions==1.0.0\n[pip3] numpy==1.26.4\n[pip3] onnx==1.17.0\n[pip3] optree==0.13.1\n[pip3] pytorch-ignite==0.5.1\n[pip3] pytorch-lightning==2.5.0.post0\n[pip3] torch==2.5.1+cu121\n[pip3] torchaudio==2.5.1+cu121\n[pip3] torchinfo==1.8.0\n[pip3] torchmetrics==1.6.1\n[pip3] torchsummary==1.5.1\n[pip3] torchtune==0.5.0\n[pip3] torchvision==0.20.1+cu121\n[conda] Could not collect",
+  "transformers_version": "4.47.0",
+  "upper_git_hash": null,
+  "tokenizer_pad_token": [
+    "<|end_of_text|>",
+    128001
+  ],
+  "tokenizer_eos_token": [
+    "<|end_of_text|>",
+    128001
+  ],
+  "tokenizer_bos_token": [
+    "<|begin_of_text|>",
+    128000
+  ],
+  "eot_token_id": 128001,
+  "max_length": 131072,
+  "task_hashes": {},
+  "model_source": "hf",
+  "model_name": "meta-llama/Llama-3.2-3B",
+  "model_name_sanitized": "meta-llama__Llama-3.2-3B",
+  "system_instruction": null,
+  "system_instruction_sha": null,
+  "fewshot_as_multiturn": false,
+  "chat_template": null,
+  "chat_template_sha": null,
+  "start_time": 19273.551134288,
+  "end_time": 19387.33433296,
+  "total_evaluation_time_seconds": "113.78319867199752"
+}

lm_eval/meta-llama__Llama-3.2-3B/results_2025-03-06T14-21-08.986098.json

@@ -0,0 +1,2967 @@
+{
+  "results": {
+    "blimp": {
+      "acc,none": 0.8199552238805967,
+      "acc_stderr,none": 0.0013392933229133912,
+      "alias": "blimp"
+    },
+    "blimp_adjunct_island": {
+      "alias": " - blimp_adjunct_island",
+      "acc,none": 0.872,
+      "acc_stderr,none": 0.010570133761108663
+    },
+    "blimp_anaphor_gender_agreement": {
+      "alias": " - blimp_anaphor_gender_agreement",
+      "acc,none": 0.991,
+      "acc_stderr,none": 0.002987963843142665
+    },
+    "blimp_anaphor_number_agreement": {
+      "alias": " - blimp_anaphor_number_agreement",
+      "acc,none": 0.997,
+      "acc_stderr,none": 0.001730316154346927
+    },
+    "blimp_animate_subject_passive": {
+      "alias": " - blimp_animate_subject_passive",
+      "acc,none": 0.793,
+      "acc_stderr,none": 0.012818553557843984
+    },
+    "blimp_animate_subject_trans": {
+      "alias": " - blimp_animate_subject_trans",
+      "acc,none": 0.925,
+      "acc_stderr,none": 0.008333333333333342
+    },
+    "blimp_causative": {
+      "alias": " - blimp_causative",
+      "acc,none": 0.763,
+      "acc_stderr,none": 0.013454070462577941
+    },
+    "blimp_complex_NP_island": {
+      "alias": " - blimp_complex_NP_island",
+      "acc,none": 0.496,
+      "acc_stderr,none": 0.01581879370351089
+    },
+    "blimp_coordinate_structure_constraint_complex_left_branch": {
+      "alias": " - blimp_coordinate_structure_constraint_complex_left_branch",
+      "acc,none": 0.725,
+      "acc_stderr,none": 0.014127086556490531
+    },
+    "blimp_coordinate_structure_constraint_object_extraction": {
+      "alias": " - blimp_coordinate_structure_constraint_object_extraction",
+      "acc,none": 0.857,
+      "acc_stderr,none": 0.011075814808567038
+    },
+    "blimp_determiner_noun_agreement_1": {
+      "alias": " - blimp_determiner_noun_agreement_1",
+      "acc,none": 0.993,
+      "acc_stderr,none": 0.0026377941462437634
+    },
+    "blimp_determiner_noun_agreement_2": {
+      "alias": " - blimp_determiner_noun_agreement_2",
+      "acc,none": 0.967,
+      "acc_stderr,none": 0.00565180882045237
+    },
+    "blimp_determiner_noun_agreement_irregular_1": {
+      "alias": " - blimp_determiner_noun_agreement_irregular_1",
+      "acc,none": 0.939,
+      "acc_stderr,none": 0.007572076091557426
+    },
+    "blimp_determiner_noun_agreement_irregular_2": {
+      "alias": " - blimp_determiner_noun_agreement_irregular_2",
+      "acc,none": 0.939,
+      "acc_stderr,none": 0.007572076091557422
+    },
+    "blimp_determiner_noun_agreement_with_adj_2": {
+      "alias": " - blimp_determiner_noun_agreement_with_adj_2",
+      "acc,none": 0.926,
+      "acc_stderr,none": 0.008282064512704154
+    },
+    "blimp_determiner_noun_agreement_with_adj_irregular_1": {
+      "alias": " - blimp_determiner_noun_agreement_with_adj_irregular_1",
+      "acc,none": 0.909,
+      "acc_stderr,none": 0.009099549538400243
+    },
+    "blimp_determiner_noun_agreement_with_adj_irregular_2": {
+      "alias": " - blimp_determiner_noun_agreement_with_adj_irregular_2",
+      "acc,none": 0.903,
+      "acc_stderr,none": 0.00936368937324812
+    },
+    "blimp_determiner_noun_agreement_with_adjective_1": {
+      "alias": " - blimp_determiner_noun_agreement_with_adjective_1",
+      "acc,none": 0.966,
+      "acc_stderr,none": 0.005733836139695435
+    },
+    "blimp_distractor_agreement_relational_noun": {
+      "alias": " - blimp_distractor_agreement_relational_noun",
+      "acc,none": 0.869,
+      "acc_stderr,none": 0.010674874844837956
+    },
+    "blimp_distractor_agreement_relative_clause": {
+      "alias": " - blimp_distractor_agreement_relative_clause",
+      "acc,none": 0.706,
+      "acc_stderr,none": 0.014414290540008217
+    },
+    "blimp_drop_argument": {
+      "alias": " - blimp_drop_argument",
+      "acc,none": 0.783,
+      "acc_stderr,none": 0.01304151375727071
+    },
+    "blimp_ellipsis_n_bar_1": {
+      "alias": " - blimp_ellipsis_n_bar_1",
+      "acc,none": 0.786,
+      "acc_stderr,none": 0.01297583802196877
+    },
+    "blimp_ellipsis_n_bar_2": {
+      "alias": " - blimp_ellipsis_n_bar_2",
+      "acc,none": 0.941,
+      "acc_stderr,none": 0.007454835650406728
+    },
+    "blimp_existential_there_object_raising": {
+      "alias": " - blimp_existential_there_object_raising",
+      "acc,none": 0.867,
+      "acc_stderr,none": 0.01074366913239735
+    },
+    "blimp_existential_there_quantifiers_1": {
+      "alias": " - blimp_existential_there_quantifiers_1",
+      "acc,none": 0.97,
+      "acc_stderr,none": 0.005397140829099199
+    },
+    "blimp_existential_there_quantifiers_2": {
+      "alias": " - blimp_existential_there_quantifiers_2",
+      "acc,none": 0.365,
+      "acc_stderr,none": 0.015231776226264898
+    },
+    "blimp_existential_there_subject_raising": {
+      "alias": " - blimp_existential_there_subject_raising",
+      "acc,none": 0.899,
+      "acc_stderr,none": 0.009533618929341
+    },
+    "blimp_expletive_it_object_raising": {
+      "alias": " - blimp_expletive_it_object_raising",
+      "acc,none": 0.8,
+      "acc_stderr,none": 0.012655439943366651
+    },
+    "blimp_inchoative": {
+      "alias": " - blimp_inchoative",
+      "acc,none": 0.67,
+      "acc_stderr,none": 0.01487687202745673
+    },
+    "blimp_intransitive": {
+      "alias": " - blimp_intransitive",
+      "acc,none": 0.831,
+      "acc_stderr,none": 0.011856625977890115
+    },
+    "blimp_irregular_past_participle_adjectives": {
+      "alias": " - blimp_irregular_past_participle_adjectives",
+      "acc,none": 0.986,
+      "acc_stderr,none": 0.0037172325482565595
+    },
+    "blimp_irregular_past_participle_verbs": {
+      "alias": " - blimp_irregular_past_participle_verbs",
+      "acc,none": 0.876,
+      "acc_stderr,none": 0.010427498872343956
+    },
+    "blimp_irregular_plural_subject_verb_agreement_1": {
+      "alias": " - blimp_irregular_plural_subject_verb_agreement_1",
+      "acc,none": 0.917,
+      "acc_stderr,none": 0.00872852720607479
+    },
+    "blimp_irregular_plural_subject_verb_agreement_2": {
+      "alias": " - blimp_irregular_plural_subject_verb_agreement_2",
+      "acc,none": 0.93,
+      "acc_stderr,none": 0.008072494358323494
+    },
+    "blimp_left_branch_island_echo_question": {
+      "alias": " - blimp_left_branch_island_echo_question",
+      "acc,none": 0.673,
+      "acc_stderr,none": 0.014842213153411247
+    },
+    "blimp_left_branch_island_simple_question": {
+      "alias": " - blimp_left_branch_island_simple_question",
+      "acc,none": 0.862,
+      "acc_stderr,none": 0.010912152632504401
+    },
+    "blimp_matrix_question_npi_licensor_present": {
+      "alias": " - blimp_matrix_question_npi_licensor_present",
+      "acc,none": 0.636,
+      "acc_stderr,none": 0.015222868840522022
+    },
+    "blimp_npi_present_1": {
+      "alias": " - blimp_npi_present_1",
+      "acc,none": 0.617,
+      "acc_stderr,none": 0.015380102325652716
+    },
+    "blimp_npi_present_2": {
+      "alias": " - blimp_npi_present_2",
+      "acc,none": 0.697,
+      "acc_stderr,none": 0.01453968371053525
+    },
+    "blimp_only_npi_licensor_present": {
+      "alias": " - blimp_only_npi_licensor_present",
+      "acc,none": 0.922,
+      "acc_stderr,none": 0.008484573530118581
+    },
+    "blimp_only_npi_scope": {
+      "alias": " - blimp_only_npi_scope",
+      "acc,none": 0.786,
+      "acc_stderr,none": 0.01297583802196876
+    },
+    "blimp_passive_1": {
+      "alias": " - blimp_passive_1",
+      "acc,none": 0.891,
+      "acc_stderr,none": 0.00985982840703719
+    },
+    "blimp_passive_2": {
+      "alias": " - blimp_passive_2",
+      "acc,none": 0.916,
+      "acc_stderr,none": 0.008776162089491118
+    },
+    "blimp_principle_A_c_command": {
+      "alias": " - blimp_principle_A_c_command",
+      "acc,none": 0.741,
+      "acc_stderr,none": 0.01386041525752791
+    },
+    "blimp_principle_A_case_1": {
+      "alias": " - blimp_principle_A_case_1",
+      "acc,none": 1.0,
+      "acc_stderr,none": 0.0
+    },
+    "blimp_principle_A_case_2": {
+      "alias": " - blimp_principle_A_case_2",
+      "acc,none": 0.947,
+      "acc_stderr,none": 0.0070881056172464405
+    },
+    "blimp_principle_A_domain_1": {
+      "alias": " - blimp_principle_A_domain_1",
+      "acc,none": 0.995,
+      "acc_stderr,none": 0.0022315868748448804
+    },
+    "blimp_principle_A_domain_2": {
+      "alias": " - blimp_principle_A_domain_2",
+      "acc,none": 0.816,
+      "acc_stderr,none": 0.012259457340938577
+    },
+    "blimp_principle_A_domain_3": {
+      "alias": " - blimp_principle_A_domain_3",
+      "acc,none": 0.686,
+      "acc_stderr,none": 0.014683991951087966
+    },
+    "blimp_principle_A_reconstruction": {
+      "alias": " - blimp_principle_A_reconstruction",
+      "acc,none": 0.471,
+      "acc_stderr,none": 0.0157926694516289
+    },
+    "blimp_regular_plural_subject_verb_agreement_1": {
+      "alias": " - blimp_regular_plural_subject_verb_agreement_1",
+      "acc,none": 0.95,
+      "acc_stderr,none": 0.006895472974897919
+    },
+    "blimp_regular_plural_subject_verb_agreement_2": {
+      "alias": " - blimp_regular_plural_subject_verb_agreement_2",
+      "acc,none": 0.887,
+      "acc_stderr,none": 0.010016552866696874
+    },
+    "blimp_sentential_negation_npi_licensor_present": {
+      "alias": " - blimp_sentential_negation_npi_licensor_present",
+      "acc,none": 0.997,
+      "acc_stderr,none": 0.0017303161543469382
+    },
+    "blimp_sentential_negation_npi_scope": {
+      "alias": " - blimp_sentential_negation_npi_scope",
+      "acc,none": 0.735,
+      "acc_stderr,none": 0.013963164754809949
+    },
+    "blimp_sentential_subject_island": {
+      "alias": " - blimp_sentential_subject_island",
+      "acc,none": 0.417,
+      "acc_stderr,none": 0.015599819048769614
+    },
+    "blimp_superlative_quantifiers_1": {
+      "alias": " - blimp_superlative_quantifiers_1",
+      "acc,none": 0.93,
+      "acc_stderr,none": 0.008072494358323506
+    },
+    "blimp_superlative_quantifiers_2": {
+      "alias": " - blimp_superlative_quantifiers_2",
+      "acc,none": 0.977,
+      "acc_stderr,none": 0.004742730594656799
+    },
+    "blimp_tough_vs_raising_1": {
+      "alias": " - blimp_tough_vs_raising_1",
+      "acc,none": 0.673,
+      "acc_stderr,none": 0.014842213153411245
+    },
+    "blimp_tough_vs_raising_2": {
+      "alias": " - blimp_tough_vs_raising_2",
+      "acc,none": 0.867,
+      "acc_stderr,none": 0.010743669132397328
+    },
+    "blimp_transitive": {
+      "alias": " - blimp_transitive",
+      "acc,none": 0.86,
+      "acc_stderr,none": 0.010978183844357786
+    },
+    "blimp_wh_island": {
+      "alias": " - blimp_wh_island",
+      "acc,none": 0.732,
+      "acc_stderr,none": 0.014013292702729486
+    },
+    "blimp_wh_questions_object_gap": {
+      "alias": " - blimp_wh_questions_object_gap",
+      "acc,none": 0.782,
+      "acc_stderr,none": 0.013063179040595299
+    },
+    "blimp_wh_questions_subject_gap": {
+      "alias": " - blimp_wh_questions_subject_gap",
+      "acc,none": 0.894,
+      "acc_stderr,none": 0.009739551265785126
+    },
+    "blimp_wh_questions_subject_gap_long_distance": {
+      "alias": " - blimp_wh_questions_subject_gap_long_distance",
+      "acc,none": 0.869,
+      "acc_stderr,none": 0.010674874844837957
+    },
+    "blimp_wh_vs_that_no_gap": {
+      "alias": " - blimp_wh_vs_that_no_gap",
+      "acc,none": 0.949,
+      "acc_stderr,none": 0.0069604200625714135
+    },
+    "blimp_wh_vs_that_no_gap_long_distance": {
+      "alias": " - blimp_wh_vs_that_no_gap_long_distance",
+      "acc,none": 0.946,
+      "acc_stderr,none": 0.007150883521295441
+    },
+    "blimp_wh_vs_that_with_gap": {
+      "alias": " - blimp_wh_vs_that_with_gap",
+      "acc,none": 0.349,
+      "acc_stderr,none": 0.0150806639915631
+    },
+    "blimp_wh_vs_that_with_gap_long_distance": {
+      "alias": " - blimp_wh_vs_that_with_gap_long_distance",
+      "acc,none": 0.31,
+      "acc_stderr,none": 0.014632638658632902
+    }
+  },
+  "groups": {
+    "blimp": {
+      "acc,none": 0.8199552238805967,
+      "acc_stderr,none": 0.0013392933229133912,
+      "alias": "blimp"
+    }
+  },
+  "group_subtasks": {
+    "blimp": [
+      "blimp_adjunct_island",
+      "blimp_anaphor_gender_agreement",
+      "blimp_anaphor_number_agreement",
+      "blimp_animate_subject_passive",
+      "blimp_animate_subject_trans",
+      "blimp_causative",
+      "blimp_complex_NP_island",
+      "blimp_coordinate_structure_constraint_complex_left_branch",
+      "blimp_coordinate_structure_constraint_object_extraction",
+      "blimp_determiner_noun_agreement_1",
+      "blimp_determiner_noun_agreement_2",
+      "blimp_determiner_noun_agreement_irregular_1",
+      "blimp_determiner_noun_agreement_irregular_2",
+      "blimp_determiner_noun_agreement_with_adj_2",
+      "blimp_determiner_noun_agreement_with_adj_irregular_1",
+      "blimp_determiner_noun_agreement_with_adj_irregular_2",
+      "blimp_determiner_noun_agreement_with_adjective_1",
+      "blimp_distractor_agreement_relational_noun",
+      "blimp_distractor_agreement_relative_clause",
+      "blimp_drop_argument",
+      "blimp_ellipsis_n_bar_1",
+      "blimp_ellipsis_n_bar_2",
+      "blimp_existential_there_object_raising",
+      "blimp_existential_there_quantifiers_1",
+      "blimp_existential_there_quantifiers_2",
+      "blimp_existential_there_subject_raising",
+      "blimp_expletive_it_object_raising",
+      "blimp_inchoative",
+      "blimp_intransitive",
+      "blimp_irregular_past_participle_adjectives",
+      "blimp_irregular_past_participle_verbs",
+      "blimp_irregular_plural_subject_verb_agreement_1",
+      "blimp_irregular_plural_subject_verb_agreement_2",
+      "blimp_left_branch_island_echo_question",
+      "blimp_left_branch_island_simple_question",
+      "blimp_matrix_question_npi_licensor_present",
+      "blimp_npi_present_1",
+      "blimp_npi_present_2",
+      "blimp_only_npi_licensor_present",
+      "blimp_only_npi_scope",
+      "blimp_passive_1",
+      "blimp_passive_2",
+      "blimp_principle_A_c_command",
+      "blimp_principle_A_case_1",
+      "blimp_principle_A_case_2",
+      "blimp_principle_A_domain_1",
+      "blimp_principle_A_domain_2",
+      "blimp_principle_A_domain_3",
+      "blimp_principle_A_reconstruction",
+      "blimp_regular_plural_subject_verb_agreement_1",
+      "blimp_regular_plural_subject_verb_agreement_2",
+      "blimp_sentential_negation_npi_licensor_present",
+      "blimp_sentential_negation_npi_scope",
+      "blimp_sentential_subject_island",
+      "blimp_superlative_quantifiers_1",
+      "blimp_superlative_quantifiers_2",
+      "blimp_tough_vs_raising_1",
+      "blimp_tough_vs_raising_2",
+      "blimp_transitive",
+      "blimp_wh_island",
+      "blimp_wh_questions_object_gap",
+      "blimp_wh_questions_subject_gap",
+      "blimp_wh_questions_subject_gap_long_distance",
+      "blimp_wh_vs_that_no_gap",
+      "blimp_wh_vs_that_no_gap_long_distance",
+      "blimp_wh_vs_that_with_gap",
+      "blimp_wh_vs_that_with_gap_long_distance"
+    ]
+  },
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+    "blimp_complex_NP_island": {
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+      "dataset_path": "blimp",
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+    "blimp_coordinate_structure_constraint_object_extraction": {
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+    "blimp_determiner_noun_agreement_irregular_1": {
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+      "validation_split": "train",
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+    },
+    "blimp_determiner_noun_agreement_irregular_2": {
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+  "pretty_env_info": "PyTorch version: 2.5.1+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to build PyTorch: N/A\n\nOS: Ubuntu 22.04.3 LTS (x86_64)\nGCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0\nClang version: 14.0.0-1ubuntu1.1\nCMake version: version 3.31.2\nLibc version: glibc-2.35\n\nPython version: 3.10.12 (main, Nov  6 2024, 20:22:13) [GCC 11.4.0] (64-bit runtime)\nPython platform: Linux-6.6.56+-x86_64-with-glibc2.35\nIs CUDA available: True\nCUDA runtime version: 12.2.140\nCUDA_MODULE_LOADING set to: LAZY\nGPU models and configuration: \nGPU 0: Tesla T4\nGPU 1: Tesla T4\n\nNvidia driver version: 560.35.03\ncuDNN version: Probably one of the following:\n/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.6\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.6\nHIP runtime version: N/A\nMIOpen runtime version: N/A\nIs XNNPACK available: True\n\nCPU:\nArchitecture:                         x86_64\nCPU op-mode(s):                       32-bit, 64-bit\nAddress sizes:                        46 bits physical, 48 bits virtual\nByte Order:                           Little Endian\nCPU(s):                               4\nOn-line CPU(s) list:                  0-3\nVendor ID:                            GenuineIntel\nModel name:                           Intel(R) Xeon(R) CPU @ 2.00GHz\nCPU family:                           6\nModel:                                85\nThread(s) per core:                   2\nCore(s) per socket:                   2\nSocket(s):                            1\nStepping:                             3\nBogoMIPS:                             4000.41\nFlags:                                fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch pti ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat md_clear arch_capabilities\nHypervisor vendor:                    KVM\nVirtualization type:                  full\nL1d cache:                            64 KiB (2 instances)\nL1i cache:                            64 KiB (2 instances)\nL2 cache:                             2 MiB (2 instances)\nL3 cache:                             38.5 MiB (1 instance)\nNUMA node(s):                         1\nNUMA node0 CPU(s):                    0-3\nVulnerability Gather data sampling:   Not affected\nVulnerability Itlb multihit:          Not affected\nVulnerability L1tf:                   Mitigation; PTE Inversion\nVulnerability Mds:                    Mitigation; Clear CPU buffers; SMT Host state unknown\nVulnerability Meltdown:               Mitigation; PTI\nVulnerability Mmio stale data:        Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown\nVulnerability Reg file data sampling: Not affected\nVulnerability Retbleed:               Mitigation; IBRS\nVulnerability Spec rstack overflow:   Not affected\nVulnerability Spec store bypass:      Mitigation; Speculative Store Bypass disabled via prctl\nVulnerability Spectre v1:             Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2:             Mitigation; IBRS; IBPB conditional; STIBP conditional; RSB filling; PBRSB-eIBRS Not affected; BHI SW loop, KVM SW loop\nVulnerability Srbds:                  Not affected\nVulnerability Tsx async abort:        Mitigation; Clear CPU buffers; SMT Host state unknown\n\nVersions of relevant libraries:\n[pip3] mypy-extensions==1.0.0\n[pip3] numpy==1.26.4\n[pip3] onnx==1.17.0\n[pip3] optree==0.13.1\n[pip3] pytorch-ignite==0.5.1\n[pip3] pytorch-lightning==2.5.0.post0\n[pip3] torch==2.5.1+cu121\n[pip3] torchaudio==2.5.1+cu121\n[pip3] torchinfo==1.8.0\n[pip3] torchmetrics==1.6.1\n[pip3] torchsummary==1.5.1\n[pip3] torchtune==0.5.0\n[pip3] torchvision==0.20.1+cu121\n[conda] Could not collect",
+  "transformers_version": "4.47.0",
+  "upper_git_hash": null,
+  "tokenizer_pad_token": [
+    "<|end_of_text|>",
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+  ],
+  "tokenizer_eos_token": [
+    "<|end_of_text|>",
+    "128001"
+  ],
+  "tokenizer_bos_token": [
+    "<|begin_of_text|>",
+    "128000"
+  ],
+  "eot_token_id": 128001,
+  "max_length": 131072,
+  "task_hashes": {},
+  "model_source": "hf",
+  "model_name": "meta-llama/Llama-3.2-3B",
+  "model_name_sanitized": "meta-llama__Llama-3.2-3B",
+  "system_instruction": null,
+  "system_instruction_sha": null,
+  "fewshot_as_multiturn": false,
+  "chat_template": null,
+  "chat_template_sha": null,
+  "start_time": 5659.99530225,
+  "end_time": 8910.415783908,
+  "total_evaluation_time_seconds": "3250.4204816579995"
+}