{ "run_info": { "created_at": "2026-07-01T16:24:03+00:00", "total_time": 1246.6367577210185, "experiment_name": "ptuning/llama-3.2-3B-vt10-MLP", "peft_branch": "main", "train_config": { "model_id": "meta-llama/Llama-3.2-3B", "dtype": "bfloat16", "max_seq_length": 768, "batch_size": 4, "batch_size_eval": 50, "max_steps": 5000, "eval_steps": 250, "compile": false, "use_gc": false, "query_template": "Question: {query} Think step by step.\nAnswer:", "seed": 0, "grad_norm_clip": 1.0, "optimizer_type": "AdamW", "optimizer_kwargs": { "lr": 0.0001, "weight_decay": 0.1 }, "lr_scheduler": "cosine", "use_amp": false, "autocast_adapter_dtype": true, "generation_kwargs": { "max_length": 800, "max_new_tokens": 300 }, "attn_implementation": null, "init_kv_cache_prefix": null }, "peft_config": { "task_type": "CAUSAL_LM", "peft_type": "P_TUNING", "auto_mapping": null, "peft_version": "0.19.2.dev0@UNKNOWN", "base_model_name_or_path": "meta-llama/Llama-3.2-3B", "revision": null, "inference_mode": false, "num_virtual_tokens": 10, "token_dim": 3072, "num_transformer_submodules": 1, "num_attention_heads": 24, "num_layers": 28, "modules_to_save": null, "encoder_reparameterization_type": "MLP", "encoder_hidden_size": 3072, "encoder_num_layers": 2, "encoder_dropout": 0.0 }, "error_msg": "" }, "train_info": { "accelerator_memory_reserved_avg": 13880178350, "accelerator_memory_max": 20860370944, "accelerator_memory_reserved_99th": 18765316096, "train_time": 1028.5749839689524, "file_size": 123000, "num_trainable_params": 28351488, "num_total_params": 3241101312, "status": "success", "metrics": [ { "step": 250, "valid accuracy": 0.18, "train loss": 0.9363359813690185, "train samples": 1000, "train time": 31.64022434395156, "eval time": 9.38078186599887, "tokens / sec": 6691.450657822938, "mem allocated avg": 7248517412.864, "mem reserved avg": 13954751397.888, "elapsed time": 136.20182907700655 }, { "step": 500, "valid accuracy": 0.28, "train loss": 0.7981618006229401, "train samples": 2000, "train time": 31.24711563330493, "eval time": 9.311849407007685, "tokens / sec": 6656.454388971098, "mem allocated avg": 7242140928.0, "mem reserved avg": 13628501655.552, "elapsed time": 179.63920924201375 }, { "step": 750, "valid accuracy": 0.44, "train loss": 0.7558251311779022, "train samples": 3000, "train time": 32.0883745571773, "eval time": 9.31352505000541, "tokens / sec": 6681.578701282153, "mem allocated avg": 7252390766.592, "mem reserved avg": 13869690912.768, "elapsed time": 223.71605581301264 }, { "step": 1000, "valid accuracy": 0.36, "train loss": 0.7296249723434448, "train samples": 4000, "train time": 31.482282812765334, "eval time": 9.314052008005092, "tokens / sec": 6617.563320901387, "mem allocated avg": 7242649475.072, "mem reserved avg": 13836782403.584, "elapsed time": 267.32254803701653 }, { "step": 1250, "valid accuracy": 0.36, "train loss": 0.7244644690752029, "train samples": 5000, "train time": 31.3771616689628, "eval time": 9.291028669016669, "tokens / sec": 6646.1715753684175, "mem allocated avg": 7242932428.8, "mem reserved avg": 13901433405.44, "elapsed time": 310.76940306302276 }, { "step": 1500, "valid accuracy": 0.34, "train loss": 0.7148160248994827, "train samples": 6000, "train time": 31.504103975836188, "eval time": 6.739314348989865, "tokens / sec": 6644.562884904074, "mem allocated avg": 7245105039.36, "mem reserved avg": 13796483530.752, "elapsed time": 351.9117020450067 }, { "step": 1750, "valid accuracy": 0.46, "train loss": 0.7091476993560791, "train samples": 7000, "train time": 31.73713576295995, "eval time": 9.282792913989397, "tokens / sec": 6596.531002786201, "mem allocated avg": 7245834381.312, "mem reserved avg": 14123672797.184, "elapsed time": 395.7068113429996 }, { "step": 2000, "valid accuracy": 0.36, "train loss": 0.7094244191646576, "train samples": 8000, "train time": 31.38104235692299, "eval time": 9.307759829011047, "tokens / sec": 6618.518200820059, "mem allocated avg": 7242345316.352, "mem reserved avg": 13885562159.104, "elapsed time": 439.24598261501524 }, { "step": 2250, "valid accuracy": 0.34, "train loss": 0.7038368511199952, "train samples": 9000, "train time": 32.27969044083147, "eval time": 9.300171014998341, "tokens / sec": 6658.923833052201, "mem allocated avg": 7254741288.96, "mem reserved avg": 14144333938.688, "elapsed time": 483.6396906840091 }, { "step": 2500, "valid accuracy": 0.3, "train loss": 0.7028931931257248, "train samples": 10000, "train time": 31.062119146925397, "eval time": 9.311563563009258, "tokens / sec": 6630.809669674038, "mem allocated avg": 7238613737.472, "mem reserved avg": 13659019411.456, "elapsed time": 526.8292486710125 }, { "step": 2750, "valid accuracy": 0.28, "train loss": 0.6949501513242722, "train samples": 11000, "train time": 31.92746263978188, "eval time": 9.288599150982918, "tokens / sec": 6636.324420469121, "mem allocated avg": 7249483808.768, "mem reserved avg": 14054928154.624, "elapsed time": 570.9226945360133 }, { "step": 3000, "valid accuracy": 0.32, "train loss": 0.6887242776155472, "train samples": 12000, "train time": 31.612302809866378, "eval time": 9.31309081602376, "tokens / sec": 6602.840712219607, "mem allocated avg": 7243983824.896, "mem reserved avg": 13947251982.336, "elapsed time": 614.6747809900262 }, { "step": 3250, "valid accuracy": 0.46, "train loss": 0.6959465799331666, "train samples": 13000, "train time": 31.669745966763003, "eval time": 9.295396289002383, "tokens / sec": 6659.384013415767, "mem allocated avg": 7247555878.912, "mem reserved avg": 13834626531.328, "elapsed time": 658.3630746390263 }, { "step": 3500, "valid accuracy": 0.36, "train loss": 0.6824533659219741, "train samples": 14000, "train time": 31.705487885017646, "eval time": 9.105592161999084, "tokens / sec": 6615.573958699966, "mem allocated avg": 7244949321.728, "mem reserved avg": 13871158919.168, "elapsed time": 701.9437575310003 }, { "step": 3750, "valid accuracy": 0.32, "train loss": 0.6802876671552658, "train samples": 15000, "train time": 32.53438692694181, "eval time": 9.274032826011535, "tokens / sec": 6660.737160550203, "mem allocated avg": 7255717593.088, "mem reserved avg": 14150264684.544, "elapsed time": 746.4688438280136 }, { "step": 4000, "valid accuracy": 0.34, "train loss": 0.6954794878959656, "train samples": 16000, "train time": 31.074721232173033, "eval time": 9.317057678010315, "tokens / sec": 6576.824888404907, "mem allocated avg": 7237630017.536, "mem reserved avg": 13796911349.76, "elapsed time": 789.6863839280268 }, { "step": 4250, "valid accuracy": 0.36, "train loss": 0.6776138496398926, "train samples": 17000, "train time": 31.751483836880652, "eval time": 7.7834975119913, "tokens / sec": 6657.610116301494, "mem allocated avg": 7248522713.088, "mem reserved avg": 13859121266.688, "elapsed time": 831.8446559070144 }, { "step": 4500, "valid accuracy": 0.3, "train loss": 0.6849392641782761, "train samples": 18000, "train time": 31.408977424085606, "eval time": 7.941874133015517, "tokens / sec": 6616.515946827266, "mem allocated avg": 7242914779.136, "mem reserved avg": 13793170030.592, "elapsed time": 874.0072624590248 }, { "step": 4750, "valid accuracy": 0.28, "train loss": 0.6771339122056961, "train samples": 19000, "train time": 31.56458607915556, "eval time": 9.30490853099036, "tokens / sec": 6651.093078601728, "mem allocated avg": 7245515804.672, "mem reserved avg": 13896693841.92, "elapsed time": 917.6395900130155 }, { "step": 5000, "valid accuracy": 0.38, "train loss": 0.683932776093483, "train samples": 20000, "train time": 31.327182788023492, "eval time": 9.292242444003932, "tokens / sec": 6648.539110884439, "mem allocated avg": 7242581661.696, "mem reserved avg": 13599208636.416, "elapsed time": 960.9633954950259 }, { "step": 5000, "test accuracy": 0.33131159969673996, "train loss": 0.683932776093483, "train samples": 20000, "train total tokens": 4198051, "forgetting": 1.3030481338500977 } ] }, "meta_info": { "model_info": { "sha": "13afe5124825b4f3751f836b40dafda64c1ed062", "created_at": "2024-09-18T15:23:48+00:00" }, "dataset_info": { "metamath": { "sha": "aa4f34d3d2d3231299b5b03d9b3e5a20da45aa18", "created_at": "2023-09-21T17:22:46+00:00" }, "gsm8k": { "sha": "740312add88f781978c0658806c59bc2815b9866", "created_at": "2022-04-12T10:22:10+00:00" } }, "package_info": { "transformers-version": "5.12.1", "transformers-commit-hash": null, "peft-version": "0.19.2.dev0", "peft-commit-hash": "36b70a3480a2f4eb274eb5486a050652a2b6cd35", "datasets-version": "5.0.0", "datasets-commit-hash": null, "bitsandbytes-version": "0.49.2", "bitsandbytes-commit-hash": null, "torch-version": "2.12.0+cu130", "torch-commit-hash": null }, "system_info": { "system": "Linux", "release": "5.15.0-185-generic", "version": "#195-Ubuntu SMP Fri Jun 19 17:11:50 UTC 2026", "machine": "x86_64", "processor": "x86_64", "accelerator": "NVIDIA GeForce RTX 4090" }, "pytorch_info": "PyTorch built with:\n - GCC 13.3\n - C++ Version: 202002\n - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v3.11.2 (Git Hash 03c022d3ffdcee958cfacbe720048e725fdf644c)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 13.0\n - NVCC architecture flags: -gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90;-gencode;arch=compute_100,code=sm_100;-gencode;arch=compute_120,code=sm_120\n - CuDNN 92.0 (built against CUDA 13.2)\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=7661cd9c6b841b62b7f411aa52ec51f05457263b, CUDA_FLAGS= -DLIBCUDACXX_ENABLE_SIMPLIFIED_COMPLEX_OPERATIONS -Xfatbin -compress-all -DONNX_NAMESPACE=onnx_torch -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90 -gencode arch=compute_100,code=sm_100 -gencode arch=compute_120,code=sm_120 -Xcudafe --diag_suppress=cc_clobber_ignored,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=bad_friend_decl --expt-relaxed-constexpr --expt-extended-lambda -Xfatbin -compress-all --threads 2 -compress-mode=size -Wno-deprecated-gpu-targets --expt-extended-lambda -DCUB_WRAPPED_NAMESPACE=at_cuda_detail -DDISABLE_CUSPARSE_DEPRECATED -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -DC10_NODEPRECATED, CUDA_VERSION=13.0, CUDNN_VERSION=9.20.0, CXX_COMPILER=/opt/rh/gcc-toolset-13/root/usr/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_MSLK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-dangling-reference -Wno-error=dangling-reference -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.12.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, \n" } }