{ "run_info": { "created_at": "2026-06-25T13:04:16+00:00", "total_time": 1502.6669879511464, "experiment_name": "ptuning/llama-3.2-3B-vt20-LSTM", "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": 20, "token_dim": 3072, "num_transformer_submodules": 1, "num_attention_heads": 24, "num_layers": 28, "modules_to_save": null, "encoder_reparameterization_type": "LSTM", "encoder_hidden_size": 3072, "encoder_num_layers": 2, "encoder_dropout": 0.0 }, "error_msg": "" }, "train_info": { "accelerator_memory_reserved_avg": 21550333952, "accelerator_memory_max": 28781314048, "accelerator_memory_reserved_99th": 26820749557, "train_time": 1322.590588517487, "file_size": 245880, "num_trainable_params": 434279424, "num_total_params": 3647029248, "status": "success", "metrics": [ { "step": 250, "valid accuracy": 0.22, "train loss": 0.9354020810127258, "train samples": 1000, "train time": 50.49005669821054, "eval time": 9.3927109639626, "tokens / sec": 4193.2810902845295, "mem allocated avg": 13755032733.696, "mem reserved avg": 21591454908.416, "elapsed time": 119.27638081205077 }, { "step": 500, "valid accuracy": 0.2, "train loss": 0.7862321782112122, "train samples": 2000, "train time": 50.365367197664455, "eval time": 9.254252284998074, "tokens / sec": 4129.722695829867, "mem allocated avg": 13747812104.192, "mem reserved avg": 21267361038.336, "elapsed time": 179.84149901219644 }, { "step": 750, "valid accuracy": 0.32, "train loss": 0.7509800347089768, "train samples": 3000, "train time": 50.671867781318724, "eval time": 9.250419595045969, "tokens / sec": 4231.164340049126, "mem allocated avg": 13758180833.28, "mem reserved avg": 21481211822.08, "elapsed time": 240.75460329209454 }, { "step": 1000, "valid accuracy": 0.28, "train loss": 0.7235222470760345, "train samples": 4000, "train time": 50.121545881032944, "eval time": 9.264669175958261, "tokens / sec": 4156.615609871657, "mem allocated avg": 13750246084.608, "mem reserved avg": 21661600448.512, "elapsed time": 301.1448435881175 }, { "step": 1250, "valid accuracy": 0.3, "train loss": 0.7182610543966294, "train samples": 5000, "train time": 49.812087612459436, "eval time": 9.25290141813457, "tokens / sec": 4186.493881212853, "mem allocated avg": 13749475418.112, "mem reserved avg": 21545644720.128, "elapsed time": 361.17410576017573 }, { "step": 1500, "valid accuracy": 0.36, "train loss": 0.7089396673440933, "train samples": 6000, "train time": 50.24829094391316, "eval time": 9.26507464889437, "tokens / sec": 4165.932732590925, "mem allocated avg": 13751175532.544, "mem reserved avg": 21550510112.768, "elapsed time": 421.5853925740812 }, { "step": 1750, "valid accuracy": 0.24, "train loss": 0.7019602956771851, "train samples": 7000, "train time": 50.260878534056246, "eval time": 9.258642738917843, "tokens / sec": 4165.366903766779, "mem allocated avg": 13752757673.984, "mem reserved avg": 21844916699.136, "elapsed time": 482.5431994642131 }, { "step": 2000, "valid accuracy": 0.32, "train loss": 0.703207641363144, "train samples": 8000, "train time": 49.82990423007868, "eval time": 6.006760481977835, "tokens / sec": 4168.099521945881, "mem allocated avg": 13748972744.704, "mem reserved avg": 21610698375.168, "elapsed time": 539.6426566240843 }, { "step": 2250, "valid accuracy": 0.26, "train loss": 0.6957956521511078, "train samples": 9000, "train time": 50.82219616463408, "eval time": 6.473255675053224, "tokens / sec": 4229.411875545376, "mem allocated avg": 13760203024.384, "mem reserved avg": 21905373396.992, "elapsed time": 598.0294065510388 }, { "step": 2500, "valid accuracy": 0.26, "train loss": 0.6942941577434539, "train samples": 10000, "train time": 49.56321152066812, "eval time": 6.418301625177264, "tokens / sec": 4155.642737438648, "mem allocated avg": 13745219473.408, "mem reserved avg": 21274810122.24, "elapsed time": 655.3750411360525 }, { "step": 2750, "valid accuracy": 0.3, "train loss": 0.687157685995102, "train samples": 11000, "train time": 50.7322088687215, "eval time": 9.255984412971884, "tokens / sec": 4176.459190812671, "mem allocated avg": 13755800027.136, "mem reserved avg": 21811186106.368, "elapsed time": 716.4680303991772 }, { "step": 3000, "valid accuracy": 0.28, "train loss": 0.6796072626113892, "train samples": 12000, "train time": 49.92008067877032, "eval time": 9.27642115810886, "tokens / sec": 4181.303338493356, "mem allocated avg": 13751262904.32, "mem reserved avg": 21667245981.696, "elapsed time": 776.6304151872173 }, { "step": 3250, "valid accuracy": 0.36, "train loss": 0.688059378027916, "train samples": 13000, "train time": 50.41137535823509, "eval time": 9.249134139157832, "tokens / sec": 4183.599405913604, "mem allocated avg": 13752641021.952, "mem reserved avg": 21651131465.728, "elapsed time": 837.2296860460192 }, { "step": 3500, "valid accuracy": 0.32, "train loss": 0.6734865410327912, "train samples": 14000, "train time": 50.12707422138192, "eval time": 9.280864350032061, "tokens / sec": 4184.365500241589, "mem allocated avg": 13751505661.952, "mem reserved avg": 21513927393.28, "elapsed time": 897.8190522671212 }, { "step": 3750, "valid accuracy": 0.28, "train loss": 0.670322101354599, "train samples": 15000, "train time": 51.18098081322387, "eval time": 6.044083565939218, "tokens / sec": 4234.05328613807, "mem allocated avg": 13762761537.536, "mem reserved avg": 21592427986.944, "elapsed time": 955.9538224241696 }, { "step": 4000, "valid accuracy": 0.38, "train loss": 0.6844290305376053, "train samples": 16000, "train time": 49.46939493622631, "eval time": 5.15820625401102, "tokens / sec": 4131.301793027151, "mem allocated avg": 13744092170.24, "mem reserved avg": 21539613310.976, "elapsed time": 1011.6463001200464 }, { "step": 4250, "valid accuracy": 0.4, "train loss": 0.6669189376831055, "train samples": 17000, "train time": 50.603932400466874, "eval time": 6.134445908013731, "tokens / sec": 4177.323578869727, "mem allocated avg": 13753937317.888, "mem reserved avg": 21385682354.176, "elapsed time": 1069.237313566031 }, { "step": 4500, "valid accuracy": 0.46, "train loss": 0.6736755061149597, "train samples": 18000, "train time": 49.98166696308181, "eval time": 9.266396904131398, "tokens / sec": 4157.884533012906, "mem allocated avg": 13749339627.52, "mem reserved avg": 21371648212.992, "elapsed time": 1129.6838904172182 }, { "step": 4750, "valid accuracy": 0.3, "train loss": 0.664890606880188, "train samples": 19000, "train time": 50.29726964957081, "eval time": 9.265053241048008, "tokens / sec": 4173.964142838744, "mem allocated avg": 13751988727.808, "mem reserved avg": 21558370238.464, "elapsed time": 1190.1546793282032 }, { "step": 5000, "valid accuracy": 0.34, "train loss": 0.6717871301174164, "train samples": 20000, "train time": 49.993743317900226, "eval time": 8.915772874141112, "tokens / sec": 4166.121321934009, "mem allocated avg": 13748624703.488, "mem reserved avg": 21181864345.6, "elapsed time": 1250.1847356450744 }, { "step": 5000, "test accuracy": 0.33813495072024263, "train loss": 0.6717871301174164, "train samples": 20000, "train total tokens": 4198051, "forgetting": 1.6402645111083984 } ] }, "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": "0fecbcd8641b42b87b558030ad419475da669fe1", "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": "6.8.0-90-generic", "version": "#91~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Thu Nov 20 15:20:45 UTC 2", "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: AVX512\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" } }