Add superseded/exploratory BEFT and LoRA results for MetaMathQA (1k steps)

MetaMathQA/beft--llama-3.2-3B-target-v_proj-1k-steps.json

@@ -0,0 +1,133 @@
+{
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+        "test accuracy": 0.27824109173616374,
+        "train loss": 0.7721195322275162,
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+        "train total tokens": 211719,
+        "forgetting": 0.23304033279418945
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+      "created_at": "2024-09-18T15:23:48+00:00"
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+    "dataset_info": {
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+        "sha": "aa4f34d3d2d3231299b5b03d9b3e5a20da45aa18",
+        "created_at": "2023-09-21T17:22:46+00:00"
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+        "created_at": "2022-04-12T10:22:10+00:00"
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+      "bitsandbytes-version": "0.50.2",
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+      "torch-version": "2.13.0+cu130",
+      "torch-commit-hash": null
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+    "system_info": {
+      "system": "Linux",
+      "release": "7.0.0-38-generic",
+      "version": "#38~24.04.4-Ubuntu SMP PREEMPT_DYNAMIC Mon Sep 14 16:37:11 UTC 2",
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+  }
+}

MetaMathQA/lora--llama-3.2-3B-rank32-1k-steps.json

@@ -0,0 +1,166 @@
+{
+  "run_info": {
+    "created_at": "2026-10-25T16:45:46+00:00",
+    "total_time": 604.7889165209999,
+    "experiment_name": "lora/llama-3.2-3B-rank32",
+    "peft_branch": "update-tinylora-image-gen-experiment",
+    "peft_worktree_is_dirty": true,
+    "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": 250,
+      "eval_steps": 100,
+      "compile": false,
+      "use_gc": true,
+      "query_template": "Question: {query} Think step by step.\nAnswer:",
+      "seed": 0,
+      "grad_norm_clip": 1.0,
+      "optimizer_type": "AdamW",
+      "optimizer_kwargs": {
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+        "weight_decay": 0.1
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+      "lr_scheduler": "cosine",
+      "use_amp": false,
+      "autocast_adapter_dtype": true,
+      "generation_kwargs": {
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+        "max_new_tokens": 300
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+    "peft_config": {
+      "task_type": "CAUSAL_LM",
+      "peft_type": "LORA",
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+      "peft_version": "0.21.3.dev0@UNKNOWN",
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+      "inference_mode": false,
+      "r": 32,
+      "target_modules": [
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+        "v_proj"
+      ],
+      "exclude_modules": null,
+      "lora_alpha": 64,
+      "lora_dropout": 0.0,
+      "fan_in_fan_out": false,
+      "bias": "none",
+      "use_rslora": false,
+      "modules_to_save": null,
+      "init_lora_weights": true,
+      "layers_to_transform": null,
+      "layers_pattern": null,
+      "rank_pattern": {},
+      "alpha_pattern": {},
+      "megatron_config": null,
+      "megatron_core": "megatron.core",
+      "trainable_token_indices": null,
+      "loftq_config": {},
+      "eva_config": null,
+      "corda_config": null,
+      "astra_config": null,
+      "lora_ga_config": null,
+      "use_dora": false,
+      "velora_config": null,
+      "alora_invocation_tokens": null,
+      "use_qalora": false,
+      "qalora_group_size": 16,
+      "monteclora_config": null,
+      "layer_replication": null,
+      "lora_bias": false,
+      "target_parameters": null,
+      "use_bdlora": null,
+      "arrow_config": null,
+      "kasa_config": null,
+      "ensure_weight_tying": false
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+    "error_msg": ""
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+    "num_trainable_params": 9175040,
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+    "status": "success",
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+        "valid accuracy": 0.42,
+        "train loss": 0.9287719869613648,
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+        "valid accuracy": 0.4,
+        "train loss": 0.7261736690998077,
+        "train samples": 800,
+        "train time": 25.26144602099521,
+        "eval time": 12.261442647002696,
+        "tokens / sec": 3280.216022912195,
+        "mem allocated avg": 6866748180.48,
+        "mem reserved avg": 9736573419.52,
+        "elapsed time": 147.88168833999953
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+      {
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+        "test accuracy": 0.3100833965125095,
+        "train loss": 0.7069227689504624,
+        "train samples": 1000,
+        "train total tokens": 211719,
+        "forgetting": 0.017640352249145508
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+    ]
+  },
+  "meta_info": {
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+      "created_at": "2024-09-18T15:23:48+00:00"
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+    "dataset_info": {
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+        "sha": "aa4f34d3d2d3231299b5b03d9b3e5a20da45aa18",
+        "created_at": "2023-09-21T17:22:46+00:00"
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+        "created_at": "2022-04-12T10:22:10+00:00"
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+      "bitsandbytes-version": "0.50.2",
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+      "torch-version": "2.13.0+cu130",
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+    "system_info": {
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+      "version": "#38~24.04.4-Ubuntu SMP PREEMPT_DYNAMIC Mon Sep 14 16:37:11 UTC 2",
+      "machine": "x86_64",
+      "processor": "x86_64",
+      "accelerator": "NVIDIA GeForce RTX 5070 Ti"
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+    "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 v3.12.0 (Git Hash 80afa71049cd69a3df32adcccb623b12cd7baa22)\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=cf30153c4c131c8164ee7798e5022d810682e2cb, 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 -DHAS_CUPTI -DUSE_FBGEMM -DUSE_MSLK -DUSE_PYTORCH_QNNPACK -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=2.13.0, USE_CUDA=1, 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=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, \n"
+  }
+}