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Model: hadadxyz/OpenSonnet-Lite-MAX Source: Original Platform
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ModelHub XC
160
.eval_results/gsm8k.json
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160
.eval_results/gsm8k.json
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{
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"results": {
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"gsm8k": {
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"alias": "gsm8k",
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"exact_match,strict-match": 0.8521607278241091,
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"exact_match_stderr,strict-match": 0.00977682767914391,
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"exact_match,flexible-extract": 0.8529188779378317,
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"exact_match_stderr,flexible-extract": 0.009756063660359896
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}
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},
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"group_subtasks": {
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"gsm8k": []
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},
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"configs": {
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"gsm8k": {
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"task": "gsm8k",
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"tag": [
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"math_word_problems"
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],
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"dataset_path": "openai/gsm8k",
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"dataset_name": "main",
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"training_split": "train",
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"test_split": "test",
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"fewshot_split": "train",
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"doc_to_text": "Question: {{question}}\nAnswer:",
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"doc_to_target": "{{answer}}",
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"unsafe_code": false,
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"description": "",
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"target_delimiter": " ",
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"fewshot_delimiter": "\n\n",
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"fewshot_config": {
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"sampler": "default",
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"split": "train",
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"process_docs": null,
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"fewshot_indices": null,
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"samples": null,
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"doc_to_text": "Question: {{question}}\nAnswer:",
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"doc_to_choice": null,
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"doc_to_target": "{{answer}}",
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"gen_prefix": null,
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"fewshot_delimiter": "\n\n",
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"target_delimiter": " "
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},
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"num_fewshot": 8,
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"metric_list": [
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{
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"metric": "exact_match",
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"aggregation": "mean",
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"higher_is_better": true,
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"ignore_case": true,
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"ignore_punctuation": false,
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"regexes_to_ignore": [
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",",
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"\\$",
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"(?s).*#### ",
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"\\.$"
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]
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}
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],
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"output_type": "generate_until",
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"generation_kwargs": {
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"until": [
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"Question:",
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"</s>",
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"<|im_end|>"
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],
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"do_sample": false,
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"temperature": 0.6,
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"max_gen_toks": 131072,
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"max_tokens": 131072,
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"top_p": 0.95,
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"top_k": 20,
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"min_p": 0,
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"repeat_penalty": 1.0,
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"presence_penalty": 1.0,
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"num_ctx": 262144
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},
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"repeats": 1,
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"filter_list": [
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{
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"name": "strict-match",
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"filter": [
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{
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"function": "regex",
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"regex_pattern": "#### (\\-?[0-9\\.\\,]+)"
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},
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{
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"function": "take_first"
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}
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]
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},
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{
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"name": "flexible-extract",
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"filter": [
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{
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"function": "regex",
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"group_select": -1,
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"regex_pattern": "(-?[$0-9.,]{2,})|(-?[0-9]+)"
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},
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{
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"function": "take_first"
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}
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]
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}
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],
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"should_decontaminate": false,
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"metadata": {
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"version": 3.0
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}
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}
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},
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"versions": {
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"gsm8k": 3.0
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},
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"n-shot": {
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"gsm8k": 8
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},
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"higher_is_better": {
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"gsm8k": {
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"exact_match": true
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}
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},
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"n-samples": {
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"gsm8k": {
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"original": 1319,
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"effective": 1319
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}
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},
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"config": {
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"model": "LocalChatCompletion",
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"model_args": null,
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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": {
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"max_gen_toks": 131072,
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"max_tokens": 131072,
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"temperature": 0.6,
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"top_p": 0.95,
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"top_k": 20,
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"min_p": 0,
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"repeat_penalty": 1.0,
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"presence_penalty": 1.0,
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"num_ctx": 262144
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},
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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": null,
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"date": 1778390867.1640942,
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"pretty_env_info": "PyTorch version: 2.6.0+cpu\nIs debug build: False\nCUDA used to build PyTorch: Could not collect\nROCM used to build PyTorch: N/A\n\nOS: Debian GNU/Linux 12 (bookworm) (x86_64)\nGCC version: (Debian 12.2.0-14+deb12u1) 12.2.0\nClang version: Could not collect\nCMake version: version 3.25.1\nLibc version: glibc-2.36\n\nPython version: 3.11.5 (main, Aug 26 2023, 07:22:50) [Clang 16.0.3 ] (64-bit runtime)\nPython platform: Linux-4.4.0-x86_64-with-glibc2.36\nIs CUDA available: False\nCUDA runtime version: 12.8.93\nCUDA_MODULE_LOADING set to: N/A\nGPU models and configuration: GPU 0: NVIDIA B200\nNvidia driver version: 580.95.05\ncuDNN version: Probably one of the following:\n/usr/lib/x86_64-linux-gnu/libcudnn.so.9.22.0\n/usr/lib/x86_64-linux-gnu/libcudnn_adv.so.9.22.0\n/usr/lib/x86_64-linux-gnu/libcudnn_cnn.so.9.22.0\n/usr/lib/x86_64-linux-gnu/libcudnn_engines_precompiled.so.9.22.0\n/usr/lib/x86_64-linux-gnu/libcudnn_engines_runtime_compiled.so.9.22.0\n/usr/lib/x86_64-linux-gnu/libcudnn_engines_tensor_ir.so.9.22.0\n/usr/lib/x86_64-linux-gnu/libcudnn_ext.so.9.22.0\n/usr/lib/x86_64-linux-gnu/libcudnn_graph.so.9.22.0\n/usr/lib/x86_64-linux-gnu/libcudnn_heuristic.so.9.22.0\n/usr/lib/x86_64-linux-gnu/libcudnn_ops.so.9.22.0\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): 17\nOn-line CPU(s) list: 0-16\nVendor ID: AuthenticAMD\nModel name: unknown\nCPU family: 191\nModel: 2\nThread(s) per core: 1\nCore(s) per socket: 17\nSocket(s): 1\nStepping: unknown\nBogoMIPS: 5035.66\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 pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid movdiri movdir64b fsrm avx512_vp2intersect flush_l1d\nVirtualization: AMD-V\n\nVersions of relevant libraries:\n[pip3] numpy==1.26.4\n[pip3] torch==2.6.0+cpu\n[conda] Could not collect",
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"transformers_version": "5.5.1",
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"lm_eval_version": "0.4.11",
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"upper_git_hash": null
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}
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