121 lines
7.3 KiB
JSON
121 lines
7.3 KiB
JSON
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{
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"results": {
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"arc_challenge": {
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"alias": "arc_challenge",
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"acc,none": 0.492320819112628,
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"acc_stderr,none": 0.01460966744089257,
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"acc_norm,none": 0.5127986348122867,
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"acc_norm_stderr,none": 0.014606603181012538
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}
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},
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"group_subtasks": {
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"arc_challenge": []
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},
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"configs": {
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"arc_challenge": {
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"task": "arc_challenge",
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"tag": [
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"ai2_arc"
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],
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"dataset_path": "allenai/ai2_arc",
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"dataset_name": "ARC-Challenge",
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"training_split": "train",
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"validation_split": "validation",
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"test_split": "test",
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"doc_to_text": "Question: {{question}}\nAnswer:",
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"doc_to_target": "{{choices.label.index(answerKey)}}",
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"doc_to_choice": "{{choices.text}}",
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"description": "",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"num_fewshot": 0,
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"metric_list": [
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{
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"metric": "acc",
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"aggregation": "mean",
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"higher_is_better": true
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},
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{
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"metric": "acc_norm",
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"aggregation": "mean",
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"higher_is_better": true
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}
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],
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"output_type": "multiple_choice",
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"repeats": 1,
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"should_decontaminate": true,
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"doc_to_decontamination_query": "Question: {{question}}\nAnswer:",
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"metadata": {
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"version": 1.0
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}
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}
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},
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"versions": {
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"arc_challenge": 1.0
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},
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"n-shot": {
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"arc_challenge": 0
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},
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"higher_is_better": {
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"arc_challenge": {
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"acc": true,
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"acc_norm": true
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}
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},
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"n-samples": {
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"arc_challenge": {
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"original": 1172,
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"effective": 1172
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}
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},
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"config": {
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"model": "hf",
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"model_args": "parallelize=True,pretrained=Qwen/Qwen2.5-7B-Instruct,trust_remote_code=True,mm=False,trust_remote_code=True",
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"model_num_parameters": 7615616512,
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"model_dtype": "torch.bfloat16",
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"model_revision": "main",
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"model_sha": "bb46c15ee4bb56c5b63245ef50fd7637234d6f75",
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"batch_size": 1,
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"batch_sizes": [],
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"device": null,
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"use_cache": null,
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"limit": null,
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"bootstrap_iters": 100000,
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"gen_kwargs": null,
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"random_seed": 0,
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"numpy_seed": 1234,
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"torch_seed": 1234,
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"fewshot_seed": 1234
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},
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"git_hash": "3127d82f",
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"date": 1732457569.0900333,
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"pretty_env_info": "PyTorch version: 2.1.0a0+29c30b1\nIs debug build: False\nCUDA used to build PyTorch: 12.2\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: Could not collect\nCMake version: version 3.27.1\nLibc version: glibc-2.35\n\nPython version: 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] (64-bit runtime)\nPython platform: Linux-5.15.0-1064-azure-x86_64-with-glibc2.35\nIs CUDA available: True\nCUDA runtime version: 12.2.128\nCUDA_MODULE_LOADING set to: LAZY\nGPU models and configuration: \nGPU 0: NVIDIA A100-SXM4-80GB\nGPU 1: NVIDIA A100-SXM4-80GB\nGPU 2: NVIDIA A100-SXM4-80GB\nGPU 3: NVIDIA A100-SXM4-80GB\nGPU 4: NVIDIA A100-SXM4-80GB\nGPU 5: NVIDIA A100-SXM4-80GB\nGPU 6: NVIDIA A100-SXM4-80GB\nGPU 7: NVIDIA A100-SXM4-80GB\n\nNvidia driver version: 535.161.08\ncuDNN version: Probably one of the following:\n/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.4\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.4\n/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.4\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.4\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.4\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.4\n/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.4\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: 48 bits physical, 48 bits virtual\nByte Order: Little Endian\nCPU(s): 96\nOn-line CPU(s) list: 0-95\nVendor ID: AuthenticAMD\nModel name: AMD EPYC 7V12 64-Core Processor\nCPU family: 23\nModel: 49\nThread(s) per core: 1\nCore(s) per socket: 48\nSocket(s): 2\nStepping: 0\nBogoMIPS: 4890.88\nFlags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext perfctr_core ssbd vmmcall fsgsbase bmi1 avx2 smep bmi2 rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 clzero xsaveerptr rdpru arat umip rdpid\nHypervisor vendor: Microsoft\nVirtualization type: full\nL1d cache: 3 MiB (96 instances)\nL1i cache: 3 MiB (96 instances)\nL2 cache: 48 MiB (96 instances)\nL3 cache: 384 MiB (24 instances)\nNUMA node(s): 4\nNUMA node0 CPU(s): 0-23\nNUMA node1 CPU(s): 24-47\nNUMA node2 CPU(s): 48-71\nNUMA node3 CPU(s): 72-95\nVulnerability Gather data sampling: Not affected\nVulnerability Itlb multihit: Not affected\nVulnerability L1tf: Not affected\nVulnerability Mds: Not affected\nVulnerability Meltdown: Not affected\nVulnerability Mmio stale data: Not affected\nVulnerability Retbleed: Mitigation; untrained return thunk; SMT disabled\nVulnerability Spec rstack overflow: Mitigation; safe RET, no microcode\nVulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp\nVulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2: Mitigation; Retpolines; STIBP disabled; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected\nVulnerability Srbds: Not affected\nVulnerability Tsx async ab
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"transformers_version": "4.46.3",
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"upper_git_hash": null,
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"tokenizer_pad_token": [
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"<|endoftext|>",
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"151643"
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],
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"tokenizer_eos_token": [
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"<|im_end|>",
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"151645"
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],
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"tokenizer_bos_token": [
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null,
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"None"
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],
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"eot_token_id": 151645,
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"max_length": 32768,
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"task_hashes": {},
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"model_source": "hf",
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"model_name": "Qwen/Qwen2.5-7B-Instruct",
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"model_name_sanitized": "Qwen__Qwen2.5-7B-Instruct",
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"system_instruction": null,
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"system_instruction_sha": null,
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"fewshot_as_multiturn": false,
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"chat_template": null,
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"chat_template_sha": null,
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"start_time": 937908.10005559,
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"end_time": 938434.455070034,
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"total_evaluation_time_seconds": "526.3550144439796"
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}
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