Files
huggingface--peft/method_comparison/MetaMathQA/results/prompt_tuning--llama-3.2-3B-default.json
wehub-resource-sync caf324b09d
Build documentation / build (push) Failing after 0s
Deploy "method_comparison" Gradio to Spaces / deploy (push) Has been cancelled
Deploy "PEFT shop" Gradio app to Spaces / deploy (push) Has been cancelled
tests on transformers main / tests (push) Has been cancelled
tests / check_code_quality (push) Has been cancelled
tests / tests (ubuntu-latest, 3.10) (push) Has been cancelled
tests / tests (ubuntu-latest, 3.11) (push) Has been cancelled
tests / tests (ubuntu-latest, 3.12) (push) Has been cancelled
tests / tests (ubuntu-latest, 3.13) (push) Has been cancelled
tests / tests (windows-latest, 3.10) (push) Has been cancelled
tests / tests (windows-latest, 3.11) (push) Has been cancelled
tests / tests (windows-latest, 3.12) (push) Has been cancelled
tests / tests (windows-latest, 3.13) (push) Has been cancelled
Secret Leaks / trufflehog (push) Has been cancelled
CI security linting / zizmor latest via Cargo (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 13:24:42 +08:00

351 lines
13 KiB
JSON

{
"run_info": {
"created_at": "2026-01-10T06:43:22+00:00",
"total_time": 1838.2831721020048,
"experiment_name": "prompt_tuning/llama-3.2-3B-default",
"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,
"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
},
"peft_config": {
"task_type": "CAUSAL_LM",
"peft_type": "PROMPT_TUNING",
"auto_mapping": null,
"peft_version": "0.18.1.dev0@UNKNOWN",
"base_model_name_or_path": "meta-llama/Llama-3.2-3B",
"revision": null,
"inference_mode": false,
"num_virtual_tokens": 200,
"token_dim": 3072,
"num_transformer_submodules": 1,
"num_attention_heads": 24,
"num_layers": 28,
"modules_to_save": null,
"prompt_tuning_init": "RANDOM",
"prompt_tuning_init_text": null,
"tokenizer_name_or_path": null,
"tokenizer_kwargs": null
},
"error_msg": ""
},
"train_info": {
"accelerator_memory_reserved_avg": 17625765642,
"accelerator_memory_max": 24427626496,
"accelerator_memory_reserved_99th": 22968008704,
"train_time": 1505.838819740049,
"file_size": 2457728,
"num_trainable_params": 614400,
"num_total_params": 3213364224,
"status": "success",
"metrics": [
{
"step": 250,
"valid accuracy": 0.0,
"train loss": 3.462650680541992,
"train samples": 1000,
"train time": 48.139625351293944,
"eval time": 16.530633710033726,
"tokens / sec": 4398.019271130643,
"mem allocated avg": 7084412407.808,
"mem reserved avg": 17769940647.936,
"elapsed time": 87.74912454502191
},
{
"step": 500,
"valid accuracy": 0.0,
"train loss": 2.2589459805488588,
"train samples": 2000,
"train time": 48.43768710020231,
"eval time": 16.48010197596159,
"tokens / sec": 4294.073735802535,
"mem allocated avg": 7076015853.568,
"mem reserved avg": 17322089644.032,
"elapsed time": 155.9924284190056
},
{
"step": 750,
"valid accuracy": 0.0,
"train loss": 1.7582932782173157,
"train samples": 3000,
"train time": 48.9170593819581,
"eval time": 16.461432596028317,
"tokens / sec": 4382.94948038264,
"mem allocated avg": 7086598868.992,
"mem reserved avg": 17347867836.416,
"elapsed time": 224.63146157900337
},
{
"step": 1000,
"valid accuracy": 0.0,
"train loss": 1.6029385833740235,
"train samples": 4000,
"train time": 48.4513027088251,
"eval time": 16.587105787999462,
"tokens / sec": 4299.905025299824,
"mem allocated avg": 7080125773.824,
"mem reserved avg": 17638306611.2,
"elapsed time": 293.0906825060374
},
{
"step": 1250,
"valid accuracy": 0.0,
"train loss": 1.5049201951026916,
"train samples": 5000,
"train time": 47.84065633546561,
"eval time": 16.44257097603986,
"tokens / sec": 4359.012103381303,
"mem allocated avg": 7076596897.792,
"mem reserved avg": 17677858897.92,
"elapsed time": 360.6927552940324
},
{
"step": 1500,
"valid accuracy": 0.0,
"train loss": 1.4373888688087464,
"train samples": 6000,
"train time": 48.565593625826295,
"eval time": 16.451919412997086,
"tokens / sec": 4310.273680844737,
"mem allocated avg": 7079910084.608,
"mem reserved avg": 17610313826.304,
"elapsed time": 429.08035932003986
},
{
"step": 1750,
"valid accuracy": 0.0,
"train loss": 1.3829970264434814,
"train samples": 7000,
"train time": 47.46174641727703,
"eval time": 16.44140770897502,
"tokens / sec": 4411.026053685007,
"mem allocated avg": 7081518635.008,
"mem reserved avg": 17944507580.416,
"elapsed time": 496.28030893800315
},
{
"step": 2000,
"valid accuracy": 0.0,
"train loss": 1.333943516254425,
"train samples": 8000,
"train time": 47.37612354574958,
"eval time": 16.461310581013095,
"tokens / sec": 4383.980462213941,
"mem allocated avg": 7076895195.136,
"mem reserved avg": 17455510454.272,
"elapsed time": 563.4433135589934
},
{
"step": 2250,
"valid accuracy": 0.0,
"train loss": 1.2829430739879608,
"train samples": 9000,
"train time": 49.185617247305345,
"eval time": 16.46588272700319,
"tokens / sec": 4370.139321811113,
"mem allocated avg": 7088224200.704,
"mem reserved avg": 17821908074.496,
"elapsed time": 632.4641255650204
},
{
"step": 2500,
"valid accuracy": 0.0,
"train loss": 1.246446587562561,
"train samples": 10000,
"train time": 48.255648160818964,
"eval time": 16.453739245946053,
"tokens / sec": 4268.246471658303,
"mem allocated avg": 7075521802.24,
"mem reserved avg": 17499282210.816,
"elapsed time": 700.5415165220038
},
{
"step": 2750,
"valid accuracy": 0.0,
"train loss": 1.2048211748600006,
"train samples": 11000,
"train time": 48.75862841651542,
"eval time": 16.46915528498357,
"tokens / sec": 4345.507797923046,
"mem allocated avg": 7083802673.152,
"mem reserved avg": 18024199356.416,
"elapsed time": 769.1840648030047
},
{
"step": 3000,
"valid accuracy": 0.06,
"train loss": 1.1679602472782136,
"train samples": 12000,
"train time": 48.22104389790911,
"eval time": 16.46740536397556,
"tokens / sec": 4328.6288128045,
"mem allocated avg": 7078835648.512,
"mem reserved avg": 17764907483.136,
"elapsed time": 837.2026147870347
},
{
"step": 3250,
"valid accuracy": 0.04,
"train loss": 1.131537829875946,
"train samples": 13000,
"train time": 48.137974261830095,
"eval time": 16.45086403901223,
"tokens / sec": 4381.177297841325,
"mem allocated avg": 7080606814.208,
"mem reserved avg": 17735715127.296,
"elapsed time": 905.0784538229927
},
{
"step": 3500,
"valid accuracy": 0.04,
"train loss": 1.1094365301132203,
"train samples": 14000,
"train time": 48.85280603397405,
"eval time": 16.464311491989065,
"tokens / sec": 4293.509770024922,
"mem allocated avg": 7081026895.872,
"mem reserved avg": 17464184274.944,
"elapsed time": 973.75803008402
},
{
"step": 3750,
"valid accuracy": 0.02,
"train loss": 1.079718291759491,
"train samples": 15000,
"train time": 49.39224000740796,
"eval time": 16.467753204982728,
"tokens / sec": 4387.389597384091,
"mem allocated avg": 7091974598.656,
"mem reserved avg": 17988463886.336,
"elapsed time": 1042.9676414930145
},
{
"step": 4000,
"valid accuracy": 0.02,
"train loss": 1.0901593000888825,
"train samples": 16000,
"train time": 48.37513752095401,
"eval time": 16.4682428810047,
"tokens / sec": 4224.752847709724,
"mem allocated avg": 7072683055.104,
"mem reserved avg": 17487336833.024,
"elapsed time": 1111.1566645530402
},
{
"step": 4250,
"valid accuracy": 0.04,
"train loss": 1.0608918931484221,
"train samples": 17000,
"train time": 48.56447010586271,
"eval time": 16.604359342018142,
"tokens / sec": 4352.750056557934,
"mem allocated avg": 7082847784.96,
"mem reserved avg": 17545067233.28,
"elapsed time": 1179.6303421389894
},
{
"step": 4500,
"valid accuracy": 0.06,
"train loss": 1.068639324426651,
"train samples": 18000,
"train time": 48.767977151903324,
"eval time": 16.501046893012244,
"tokens / sec": 4261.36190460976,
"mem allocated avg": 7077102155.776,
"mem reserved avg": 17491698909.184,
"elapsed time": 1248.2997376249987
},
{
"step": 4750,
"valid accuracy": 0.02,
"train loss": 1.0587589330673217,
"train samples": 19000,
"train time": 48.74695514619816,
"eval time": 16.455141162965447,
"tokens / sec": 4306.710016458811,
"mem allocated avg": 7080302989.312,
"mem reserved avg": 17688931860.48,
"elapsed time": 1316.8433299760218
},
{
"step": 5000,
"valid accuracy": 0.04,
"train loss": 1.0654818024635315,
"train samples": 20000,
"train time": 48.002736268914305,
"eval time": 16.48369751899736,
"tokens / sec": 4338.91932395692,
"mem allocated avg": 7078423576.576,
"mem reserved avg": 17237222096.896,
"elapsed time": 1384.6823478980223
},
{
"step": 5000,
"test accuracy": 0.053828658074298714,
"train loss": 1.0654818024635315,
"train samples": 20000,
"train total tokens": 4198051,
"forgetting": 2.5893402099609375
}
]
},
"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": "cc7b047b6e5bb11b4f1af84efc572db110a51b3c",
"created_at": "2022-04-12T10:22:10+00:00"
}
},
"package_info": {
"transformers-version": "4.57.1",
"transformers-commit-hash": null,
"peft-version": "0.18.1.dev0",
"peft-commit-hash": "8be1a16f5e06ca5e197d2af74bdfc5b3c8072d26",
"datasets-version": "4.2.0",
"datasets-commit-hash": null,
"bitsandbytes-version": "0.46.0",
"bitsandbytes-commit-hash": null,
"torch-version": "2.9.0+cu128",
"torch-commit-hash": null
},
"system_info": {
"system": "Linux",
"release": "6.14.0-1016-aws",
"version": "#16~24.04.1-Ubuntu SMP Tue Oct 14 02:15:09 UTC 2025",
"machine": "x86_64",
"processor": "x86_64",
"accelerator": "NVIDIA L40S"
},
"pytorch_info": "PyTorch built with:\n - GCC 13.3\n - C++ Version: 201703\n - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)\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 12.8\n - NVCC architecture flags: -gencode;arch=compute_70,code=sm_70;-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 90.7.1\n - Built with CuDNN 90.8\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=0fabc3ba44823f257e70ce397d989c8de5e362c1, CUDA_VERSION=12.8, CUDNN_VERSION=9.8.0, 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_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=2.9.0, 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"
}
}