LoKr experiments during hyper parameter search
Browse filesContext: https://github.com/huggingface/peft/pull/3535
- lokr--llama-3.2-3B-rank32-factor4-all-linear-lr0.003--2026-08-05T18-01-26+00-00.json +367 -0
- lokr--llama-3.2-3B-rank32-factor4-all-linear-lr0.003-10k--2026-08-05T20-43-48+00-00.json +607 -0
- lokr--llama-3.2-3B-rank32-factor4-all-linear-lr0.003-10k-wd0--2026-08-05T23-12-59+00-00.json +607 -0
- lokr--llama-3.2-3B-rank32-factor4-all-linear-lr0.003-20k--2026-08-06T01-43-49+00-00.json +1087 -0
- lokr--llama-3.2-3B-rank32-factor4-all-linear-lr0.005--2026-08-05T19-21-57+00-00.json +367 -0
- lokr--llama-3.2-3B-rank32-factor4-lr0.001--2026-08-05T17-07-38+00-00.json +362 -0
- lokr--llama-3.2-3B-rank32-factor8-all-linear-lr0.003--2026-08-06T10-13-59+00-00.json +367 -0
- lokr--llama-3.2-3B-rank32-factor8-lr0.003--2026-08-06T12-43-21+00-00.json +362 -0
- lokr--llama-3.2-3B-rank32-lr0.001--2026-08-05T16-41-19+00-00.json +362 -0
lokr--llama-3.2-3B-rank32-factor4-all-linear-lr0.003--2026-08-05T18-01-26+00-00.json
ADDED
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| 1 |
+
{
|
| 2 |
+
"run_info": {
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| 3 |
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"created_at": "2026-08-05T18:01:26+00:00",
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| 4 |
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| 5 |
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| 6 |
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"peft_branch": "auto-research",
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| 7 |
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"train_config": {
|
| 8 |
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"model_id": "meta-llama/Llama-3.2-3B",
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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"query_template": "Question: {query} Think step by step.\nAnswer:",
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| 18 |
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"seed": 0,
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| 19 |
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| 20 |
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"optimizer_type": "AdamW",
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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},
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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],
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 81 |
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}
|
lokr--llama-3.2-3B-rank32-factor4-all-linear-lr0.003-10k--2026-08-05T20-43-48+00-00.json
ADDED
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"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 v3.10.2 (Git Hash f1d471933dc852f956fd05389f9313c7148783d5)\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 90.7.1 (built against CUDA 12.8)\n - Built with CuDNN 91.9\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=70d99e998b4955e0049d13a98d77ae1b14db1f45, CUDA_VERSION=13.0, CUDNN_VERSION=9.19.0, 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=2.11.0, 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"
|
| 606 |
+
}
|
| 607 |
+
}
|
lokr--llama-3.2-3B-rank32-factor4-all-linear-lr0.003-10k-wd0--2026-08-05T23-12-59+00-00.json
ADDED
|
@@ -0,0 +1,607 @@
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|
| 1 |
+
{
|
| 2 |
+
"run_info": {
|
| 3 |
+
"created_at": "2026-08-05T23:12:59+00:00",
|
| 4 |
+
"total_time": 9007.000587568997,
|
| 5 |
+
"experiment_name": "lokr/llama-3.2-3B-rank32-factor4-all-linear-lr0.003-10k-wd0",
|
| 6 |
+
"peft_branch": "auto-research",
|
| 7 |
+
"train_config": {
|
| 8 |
+
"model_id": "meta-llama/Llama-3.2-3B",
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"max_seq_length": 768,
|
| 11 |
+
"batch_size": 4,
|
| 12 |
+
"batch_size_eval": 50,
|
| 13 |
+
"max_steps": 10000,
|
| 14 |
+
"eval_steps": 250,
|
| 15 |
+
"compile": false,
|
| 16 |
+
"use_gc": false,
|
| 17 |
+
"query_template": "Question: {query} Think step by step.\nAnswer:",
|
| 18 |
+
"seed": 0,
|
| 19 |
+
"grad_norm_clip": 1.0,
|
| 20 |
+
"optimizer_type": "AdamW",
|
| 21 |
+
"optimizer_kwargs": {
|
| 22 |
+
"lr": 0.003,
|
| 23 |
+
"weight_decay": 0.0
|
| 24 |
+
},
|
| 25 |
+
"lr_scheduler": "cosine",
|
| 26 |
+
"use_amp": false,
|
| 27 |
+
"autocast_adapter_dtype": true,
|
| 28 |
+
"generation_kwargs": {
|
| 29 |
+
"max_length": 800,
|
| 30 |
+
"max_new_tokens": 300
|
| 31 |
+
},
|
| 32 |
+
"attn_implementation": null,
|
| 33 |
+
"init_kv_cache_prefix": null
|
| 34 |
+
},
|
| 35 |
+
"peft_config": {
|
| 36 |
+
"task_type": null,
|
| 37 |
+
"peft_type": "LOKR",
|
| 38 |
+
"auto_mapping": null,
|
| 39 |
+
"peft_version": "0.20.1.dev0@UNKNOWN",
|
| 40 |
+
"base_model_name_or_path": "meta-llama/Llama-3.2-3B",
|
| 41 |
+
"revision": null,
|
| 42 |
+
"inference_mode": false,
|
| 43 |
+
"rank_pattern": {},
|
| 44 |
+
"alpha_pattern": {},
|
| 45 |
+
"r": 32,
|
| 46 |
+
"alpha": 64,
|
| 47 |
+
"rank_dropout": 0.0,
|
| 48 |
+
"module_dropout": 0.0,
|
| 49 |
+
"use_effective_conv2d": false,
|
| 50 |
+
"decompose_both": false,
|
| 51 |
+
"decompose_factor": 4,
|
| 52 |
+
"rank_dropout_scale": false,
|
| 53 |
+
"target_modules": [
|
| 54 |
+
"k_proj",
|
| 55 |
+
"q_proj",
|
| 56 |
+
"gate_proj",
|
| 57 |
+
"down_proj",
|
| 58 |
+
"v_proj",
|
| 59 |
+
"up_proj",
|
| 60 |
+
"o_proj"
|
| 61 |
+
],
|
| 62 |
+
"exclude_modules": null,
|
| 63 |
+
"init_weights": true,
|
| 64 |
+
"layers_to_transform": null,
|
| 65 |
+
"layers_pattern": null,
|
| 66 |
+
"modules_to_save": null
|
| 67 |
+
},
|
| 68 |
+
"error_msg": ""
|
| 69 |
+
},
|
| 70 |
+
"train_info": {
|
| 71 |
+
"accelerator_memory_reserved_avg": 29439301569,
|
| 72 |
+
"accelerator_memory_max": 40982544384,
|
| 73 |
+
"accelerator_memory_reserved_99th": 37675335680,
|
| 74 |
+
"train_time": 7933.3307930609735,
|
| 75 |
+
"file_size": 48714440,
|
| 76 |
+
"num_trainable_params": 12160064,
|
| 77 |
+
"num_total_params": 3224909888,
|
| 78 |
+
"status": "success",
|
| 79 |
+
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|
lokr--llama-3.2-3B-rank32-factor4-all-linear-lr0.003-20k--2026-08-06T01-43-49+00-00.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"run_info": {
|
| 3 |
+
"created_at": "2026-08-06T01:43:49+00:00",
|
| 4 |
+
"total_time": 17144.428262664005,
|
| 5 |
+
"experiment_name": "lokr/llama-3.2-3B-rank32-factor4-all-linear-lr0.003-20k",
|
| 6 |
+
"peft_branch": "auto-research",
|
| 7 |
+
"train_config": {
|
| 8 |
+
"model_id": "meta-llama/Llama-3.2-3B",
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"max_seq_length": 768,
|
| 11 |
+
"batch_size": 4,
|
| 12 |
+
"batch_size_eval": 50,
|
| 13 |
+
"max_steps": 20000,
|
| 14 |
+
"eval_steps": 250,
|
| 15 |
+
"compile": false,
|
| 16 |
+
"use_gc": false,
|
| 17 |
+
"query_template": "Question: {query} Think step by step.\nAnswer:",
|
| 18 |
+
"seed": 0,
|
| 19 |
+
"grad_norm_clip": 1.0,
|
| 20 |
+
"optimizer_type": "AdamW",
|
| 21 |
+
"optimizer_kwargs": {
|
| 22 |
+
"lr": 0.003,
|
| 23 |
+
"weight_decay": 0.1
|
| 24 |
+
},
|
| 25 |
+
"lr_scheduler": "cosine",
|
| 26 |
+
"use_amp": false,
|
| 27 |
+
"autocast_adapter_dtype": true,
|
| 28 |
+
"generation_kwargs": {
|
| 29 |
+
"max_length": 800,
|
| 30 |
+
"max_new_tokens": 300
|
| 31 |
+
},
|
| 32 |
+
"attn_implementation": null,
|
| 33 |
+
"init_kv_cache_prefix": null
|
| 34 |
+
},
|
| 35 |
+
"peft_config": {
|
| 36 |
+
"task_type": null,
|
| 37 |
+
"peft_type": "LOKR",
|
| 38 |
+
"auto_mapping": null,
|
| 39 |
+
"peft_version": "0.20.1.dev0@UNKNOWN",
|
| 40 |
+
"base_model_name_or_path": "meta-llama/Llama-3.2-3B",
|
| 41 |
+
"revision": null,
|
| 42 |
+
"inference_mode": false,
|
| 43 |
+
"rank_pattern": {},
|
| 44 |
+
"alpha_pattern": {},
|
| 45 |
+
"r": 32,
|
| 46 |
+
"alpha": 64,
|
| 47 |
+
"rank_dropout": 0.0,
|
| 48 |
+
"module_dropout": 0.0,
|
| 49 |
+
"use_effective_conv2d": false,
|
| 50 |
+
"decompose_both": false,
|
| 51 |
+
"decompose_factor": 4,
|
| 52 |
+
"rank_dropout_scale": false,
|
| 53 |
+
"target_modules": [
|
| 54 |
+
"gate_proj",
|
| 55 |
+
"v_proj",
|
| 56 |
+
"up_proj",
|
| 57 |
+
"q_proj",
|
| 58 |
+
"o_proj",
|
| 59 |
+
"down_proj",
|
| 60 |
+
"k_proj"
|
| 61 |
+
],
|
| 62 |
+
"exclude_modules": null,
|
| 63 |
+
"init_weights": true,
|
| 64 |
+
"layers_to_transform": null,
|
| 65 |
+
"layers_pattern": null,
|
| 66 |
+
"modules_to_save": null
|
| 67 |
+
},
|
| 68 |
+
"error_msg": ""
|
| 69 |
+
},
|
| 70 |
+
"train_info": {
|
| 71 |
+
"accelerator_memory_reserved_avg": 29407510737,
|
| 72 |
+
"accelerator_memory_max": 40982544384,
|
| 73 |
+
"accelerator_memory_reserved_99th": 37908119552,
|
| 74 |
+
"train_time": 15059.725224568945,
|
| 75 |
+
"file_size": 48714440,
|
| 76 |
+
"num_trainable_params": 12160064,
|
| 77 |
+
"num_total_params": 3224909888,
|
| 78 |
+
"status": "success",
|
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lokr--llama-3.2-3B-rank32-factor4-all-linear-lr0.005--2026-08-05T19-21-57+00-00.json
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lokr--llama-3.2-3B-rank32-factor4-lr0.001--2026-08-05T17-07-38+00-00.json
ADDED
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| 1 |
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{
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| 2 |
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"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 v3.10.2 (Git Hash f1d471933dc852f956fd05389f9313c7148783d5)\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 90.7.1 (built against CUDA 12.8)\n - Built with CuDNN 91.9\n - Magma 2.6.1\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=70d99e998b4955e0049d13a98d77ae1b14db1f45, CUDA_VERSION=13.0, CUDNN_VERSION=9.19.0, 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=2.11.0, 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"
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| 361 |
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}
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| 362 |
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}
|
lokr--llama-3.2-3B-rank32-factor8-all-linear-lr0.003--2026-08-06T10-13-59+00-00.json
ADDED
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@@ -0,0 +1,367 @@
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| 1 |
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{
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| 2 |
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}
|
lokr--llama-3.2-3B-rank32-factor8-lr0.003--2026-08-06T12-43-21+00-00.json
ADDED
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}
|
lokr--llama-3.2-3B-rank32-lr0.001--2026-08-05T16-41-19+00-00.json
ADDED
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@@ -0,0 +1,362 @@
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| 1 |
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{
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| 2 |
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