Add superseded/exploratory MonteCLoRA results

#13
by Sergasgr - opened
imagegen/lora--flux2-klein-monteclora--eps-2.5e-3.json ADDED
@@ -0,0 +1,281 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "run_info": {
3
+ "created_at": "2026-09-23T16:33:57+00:00",
4
+ "total_time": 1366.5333634630006,
5
+ "experiment_name": "lora/flux2-klein-monteclora-eps2.5e-3",
6
+ "peft_branch": "add-bd-lora-image-gen",
7
+ "peft_worktree_is_dirty": true,
8
+ "train_config": {
9
+ "model_id": "black-forest-labs/FLUX.2-klein-base-4B",
10
+ "dataset_id": "peft-internal-testing/cat-image-dataset",
11
+ "dataset_split": "train",
12
+ "dtype": "bfloat16",
13
+ "resolution": 512,
14
+ "batch_size": 2,
15
+ "batch_size_eval": 1,
16
+ "repeats": 1000,
17
+ "max_steps": 750,
18
+ "eval_steps": 100,
19
+ "compile": false,
20
+ "use_gc": true,
21
+ "seed": 0,
22
+ "grad_norm_clip": 1.0,
23
+ "optimizer_type": "AdamW",
24
+ "optimizer_kwargs": {
25
+ "lr": 0.0001,
26
+ "weight_decay": 0.0001
27
+ },
28
+ "lr_scheduler": null,
29
+ "use_amp": false,
30
+ "autocast_adapter_dtype": true,
31
+ "instance_prompts": [
32
+ "sks cat sitting on a chair in front of a box of chocolates",
33
+ "sks cat playing on the Steam Deck",
34
+ "sks cat wearing a necklace while sitting in a box on a sofa",
35
+ "a box with four donuts in front of sks cat",
36
+ "sks cat wearing a pink veil with flowers on it and a dagger made out of yellow cardboard",
37
+ "sks cat between two pillows, with one pillow showing a polar bear and the other a fox",
38
+ "sks cat with an espresso reading the newspaper",
39
+ "a close up of a hand petting sks cat on the head",
40
+ "sks cat opens a white door",
41
+ "sks cat with a VIP \"all access\" pass",
42
+ "sks cat in front of a monitor showing the video game \"RimWorld\"",
43
+ "sks cat reads a newspaper about cannabis",
44
+ "sks cat reading the newspaper with the title \"DIE BOX\"",
45
+ "sks cat being fed sushi",
46
+ "sks cat in front of a box of tomatoes",
47
+ "a gingerbread house in front of sks cat",
48
+ "sks cat is wearing a Wednesday Addams costume",
49
+ "sks cat looks skeptical as he reads a magazine depicting a black cat",
50
+ "sks cat wearing a striped scarf",
51
+ "sleepy sks cat lying in bed covered by a blue blanket"
52
+ ],
53
+ "image_column": "image",
54
+ "valid_size": 2,
55
+ "test_size": 4,
56
+ "num_inference_steps": 20,
57
+ "guidance_scale": 3.5,
58
+ "max_sequence_length": 512,
59
+ "text_encoder_out_layers": [
60
+ 10,
61
+ 20,
62
+ 30
63
+ ],
64
+ "weighting_scheme": "none",
65
+ "logit_mean": 0.0,
66
+ "logit_std": 1.0,
67
+ "mode_scale": 1.29,
68
+ "dino_model_id": "facebook/dinov2-base",
69
+ "dino_image_size": 224,
70
+ "sample_image_prompts": [
71
+ "a photo of sks cat",
72
+ "a color drawing of sks cat",
73
+ "sks cat at the beach",
74
+ "a photo of sks dog",
75
+ "a photo of an orange cat"
76
+ ],
77
+ "drift_image_prompts": [
78
+ "a photo of cat",
79
+ "a color drawing of cat",
80
+ "cat sitting in a bathtub",
81
+ "cat looks into a mirror",
82
+ "a photo of cat next to a tree",
83
+ "the Mona Lisa but she looks angry",
84
+ "a dog holding a sign that says hello world",
85
+ "a photo of the Eiffel tower at night",
86
+ "an astronaut riding a horse",
87
+ "3d design concept of a chair that looks like an avocado"
88
+ ]
89
+ },
90
+ "peft_config": {
91
+ "task_type": null,
92
+ "peft_type": "LORA",
93
+ "auto_mapping": null,
94
+ "peft_version": "0.21.1.dev0@UNKNOWN",
95
+ "base_model_name_or_path": null,
96
+ "revision": null,
97
+ "inference_mode": false,
98
+ "r": 16,
99
+ "target_modules": [
100
+ "to_add_out",
101
+ "linear_in",
102
+ "to_out.0",
103
+ "add_v_proj",
104
+ "to_v",
105
+ "to_k",
106
+ "add_q_proj",
107
+ "linear_out",
108
+ "to_qkv_mlp_proj",
109
+ "to_q",
110
+ "add_k_proj"
111
+ ],
112
+ "exclude_modules": null,
113
+ "lora_alpha": 32,
114
+ "lora_dropout": 0.0,
115
+ "fan_in_fan_out": false,
116
+ "bias": "none",
117
+ "use_rslora": false,
118
+ "modules_to_save": null,
119
+ "init_lora_weights": true,
120
+ "layers_to_transform": null,
121
+ "layers_pattern": null,
122
+ "rank_pattern": {},
123
+ "alpha_pattern": {},
124
+ "megatron_config": null,
125
+ "megatron_core": "megatron.core",
126
+ "trainable_token_indices": null,
127
+ "loftq_config": {},
128
+ "eva_config": null,
129
+ "corda_config": null,
130
+ "lora_ga_config": null,
131
+ "use_dora": false,
132
+ "velora_config": null,
133
+ "alora_invocation_tokens": null,
134
+ "use_qalora": false,
135
+ "qalora_group_size": 16,
136
+ "monteclora_config": {
137
+ "num_samples": 2,
138
+ "use_entropy": true,
139
+ "dirichlet_prior": 1.0,
140
+ "sample_scaler": 0.0025,
141
+ "kl_loss_weight": 1e-05,
142
+ "buffer_size": 150
143
+ },
144
+ "layer_replication": null,
145
+ "lora_bias": false,
146
+ "target_parameters": null,
147
+ "use_bdlora": null,
148
+ "arrow_config": null,
149
+ "kasa_config": null,
150
+ "ensure_weight_tying": false
151
+ },
152
+ "error_msg": ""
153
+ },
154
+ "train_info": {
155
+ "accelerator_memory_reserved_avg": 13433281970,
156
+ "accelerator_memory_max": 13604225024,
157
+ "accelerator_memory_reserved_99th": 13604225024,
158
+ "train_time": 1251.0582495519957,
159
+ "file_size": 76840128,
160
+ "num_trainable_params": 19170720,
161
+ "num_total_params": 3894715296,
162
+ "status": "success",
163
+ "metrics": [
164
+ {
165
+ "step": 100,
166
+ "valid dino_similarity": 0.4155472218990326,
167
+ "train loss": 0.7685149908065796,
168
+ "train samples": 200,
169
+ "train time": 136.75547894000374,
170
+ "eval time": 14.4282035060005,
171
+ "mem allocated avg": 11558350080.0,
172
+ "mem reserved avg": 13241417728.0,
173
+ "elapsed time": 168.49256615000013
174
+ },
175
+ {
176
+ "step": 200,
177
+ "valid dino_similarity": 0.6585649251937866,
178
+ "train loss": 0.7496388554573059,
179
+ "train samples": 400,
180
+ "train time": 134.73640495700965,
181
+ "eval time": 14.416874095000821,
182
+ "mem allocated avg": 11558402304.0,
183
+ "mem reserved avg": 13436452864.0,
184
+ "elapsed time": 317.6642484749991
185
+ },
186
+ {
187
+ "step": 300,
188
+ "valid dino_similarity": 0.6874549388885498,
189
+ "train loss": 0.7622843980789185,
190
+ "train samples": 600,
191
+ "train time": 134.96400095300123,
192
+ "eval time": 14.413873385999977,
193
+ "mem allocated avg": 11558453504.0,
194
+ "mem reserved avg": 13557039104.0,
195
+ "elapsed time": 467.06704741700014
196
+ },
197
+ {
198
+ "step": 400,
199
+ "valid dino_similarity": 0.705180823802948,
200
+ "train loss": 0.7465572357177734,
201
+ "train samples": 800,
202
+ "train time": 137.6200152859965,
203
+ "eval time": 14.402644868001516,
204
+ "mem allocated avg": 11558504704.0,
205
+ "mem reserved avg": 13421982515.2,
206
+ "elapsed time": 619.1152704590004
207
+ },
208
+ {
209
+ "step": 500,
210
+ "valid dino_similarity": 0.4648399353027344,
211
+ "train loss": 0.7341358661651611,
212
+ "train samples": 1000,
213
+ "train time": 134.87768175599376,
214
+ "eval time": 14.378977571999712,
215
+ "mem allocated avg": 11558555904.0,
216
+ "mem reserved avg": 13497417072.64,
217
+ "elapsed time": 768.3957472549992
218
+ },
219
+ {
220
+ "step": 600,
221
+ "valid dino_similarity": 0.7296367883682251,
222
+ "train loss": 0.7473776340484619,
223
+ "train samples": 1200,
224
+ "train time": 135.10391073499522,
225
+ "eval time": 14.37624322100055,
226
+ "mem allocated avg": 11558607104.0,
227
+ "mem reserved avg": 13490328698.88,
228
+ "elapsed time": 917.8931468869996
229
+ },
230
+ {
231
+ "step": 700,
232
+ "valid dino_similarity": 0.7487540245056152,
233
+ "train loss": 0.7358522415161133,
234
+ "train samples": 1400,
235
+ "train time": 137.53270940699986,
236
+ "eval time": 14.424970574000326,
237
+ "mem allocated avg": 11558658304.0,
238
+ "mem reserved avg": 13438445158.4,
239
+ "elapsed time": 1069.8687774999999
240
+ },
241
+ {
242
+ "step": 750,
243
+ "test dino_similarity": 0.6784228881200155,
244
+ "drift": 0.26896238327026367,
245
+ "train loss": 0.7337879538536072,
246
+ "train samples": 1500
247
+ }
248
+ ]
249
+ },
250
+ "meta_info": {
251
+ "model_info": {
252
+ "sha": "a3b4f4849157f664bdbc776fd7453c2783562f4d",
253
+ "created_at": "2026-01-14T13:42:28+00:00"
254
+ },
255
+ "dataset_info": {
256
+ "sha": "37df3244ae3aa36e85178b6cf946338137fc3068",
257
+ "created_at": "2026-03-09T15:31:26+00:00"
258
+ },
259
+ "package_info": {
260
+ "transformers-version": "5.16.0",
261
+ "transformers-commit-hash": null,
262
+ "peft-version": "0.21.1.dev0",
263
+ "peft-commit-hash": "51f0a9124366694e4012e6aeef8b486096e87440",
264
+ "datasets-version": "5.0.1",
265
+ "datasets-commit-hash": null,
266
+ "diffusers-version": "0.40.0",
267
+ "diffusers-commit-hash": null,
268
+ "torch-version": "2.13.0+cu130",
269
+ "torch-commit-hash": null
270
+ },
271
+ "system_info": {
272
+ "system": "Linux",
273
+ "release": "7.0.0-31-generic",
274
+ "version": "#31~24.04.1-Ubuntu SMP PREEMPT_DYNAMIC Mon Aug 10 09:38:02 UTC 2",
275
+ "machine": "x86_64",
276
+ "processor": "x86_64",
277
+ "accelerator": "NVIDIA GeForce RTX 5070 Ti"
278
+ },
279
+ "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"
280
+ }
281
+ }
imagegen/lora--flux2-klein-monteclora--no-coop.json ADDED
@@ -0,0 +1,281 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "run_info": {
3
+ "created_at": "2026-09-23T16:58:11+00:00",
4
+ "total_time": 1363.2142013249995,
5
+ "experiment_name": "lora/flux2-klein-monteclora-no-coop",
6
+ "peft_branch": "add-bd-lora-image-gen",
7
+ "peft_worktree_is_dirty": true,
8
+ "train_config": {
9
+ "model_id": "black-forest-labs/FLUX.2-klein-base-4B",
10
+ "dataset_id": "peft-internal-testing/cat-image-dataset",
11
+ "dataset_split": "train",
12
+ "dtype": "bfloat16",
13
+ "resolution": 512,
14
+ "batch_size": 2,
15
+ "batch_size_eval": 1,
16
+ "repeats": 1000,
17
+ "max_steps": 750,
18
+ "eval_steps": 100,
19
+ "compile": false,
20
+ "use_gc": true,
21
+ "seed": 0,
22
+ "grad_norm_clip": 1.0,
23
+ "optimizer_type": "AdamW",
24
+ "optimizer_kwargs": {
25
+ "lr": 0.0001,
26
+ "weight_decay": 0.0001
27
+ },
28
+ "lr_scheduler": null,
29
+ "use_amp": false,
30
+ "autocast_adapter_dtype": true,
31
+ "instance_prompts": [
32
+ "sks cat sitting on a chair in front of a box of chocolates",
33
+ "sks cat playing on the Steam Deck",
34
+ "sks cat wearing a necklace while sitting in a box on a sofa",
35
+ "a box with four donuts in front of sks cat",
36
+ "sks cat wearing a pink veil with flowers on it and a dagger made out of yellow cardboard",
37
+ "sks cat between two pillows, with one pillow showing a polar bear and the other a fox",
38
+ "sks cat with an espresso reading the newspaper",
39
+ "a close up of a hand petting sks cat on the head",
40
+ "sks cat opens a white door",
41
+ "sks cat with a VIP \"all access\" pass",
42
+ "sks cat in front of a monitor showing the video game \"RimWorld\"",
43
+ "sks cat reads a newspaper about cannabis",
44
+ "sks cat reading the newspaper with the title \"DIE BOX\"",
45
+ "sks cat being fed sushi",
46
+ "sks cat in front of a box of tomatoes",
47
+ "a gingerbread house in front of sks cat",
48
+ "sks cat is wearing a Wednesday Addams costume",
49
+ "sks cat looks skeptical as he reads a magazine depicting a black cat",
50
+ "sks cat wearing a striped scarf",
51
+ "sleepy sks cat lying in bed covered by a blue blanket"
52
+ ],
53
+ "image_column": "image",
54
+ "valid_size": 2,
55
+ "test_size": 4,
56
+ "num_inference_steps": 20,
57
+ "guidance_scale": 3.5,
58
+ "max_sequence_length": 512,
59
+ "text_encoder_out_layers": [
60
+ 10,
61
+ 20,
62
+ 30
63
+ ],
64
+ "weighting_scheme": "none",
65
+ "logit_mean": 0.0,
66
+ "logit_std": 1.0,
67
+ "mode_scale": 1.29,
68
+ "dino_model_id": "facebook/dinov2-base",
69
+ "dino_image_size": 224,
70
+ "sample_image_prompts": [
71
+ "a photo of sks cat",
72
+ "a color drawing of sks cat",
73
+ "sks cat at the beach",
74
+ "a photo of sks dog",
75
+ "a photo of an orange cat"
76
+ ],
77
+ "drift_image_prompts": [
78
+ "a photo of cat",
79
+ "a color drawing of cat",
80
+ "cat sitting in a bathtub",
81
+ "cat looks into a mirror",
82
+ "a photo of cat next to a tree",
83
+ "the Mona Lisa but she looks angry",
84
+ "a dog holding a sign that says hello world",
85
+ "a photo of the Eiffel tower at night",
86
+ "an astronaut riding a horse",
87
+ "3d design concept of a chair that looks like an avocado"
88
+ ]
89
+ },
90
+ "peft_config": {
91
+ "task_type": null,
92
+ "peft_type": "LORA",
93
+ "auto_mapping": null,
94
+ "peft_version": "0.21.1.dev0@UNKNOWN",
95
+ "base_model_name_or_path": null,
96
+ "revision": null,
97
+ "inference_mode": false,
98
+ "r": 16,
99
+ "target_modules": [
100
+ "to_add_out",
101
+ "add_v_proj",
102
+ "to_qkv_mlp_proj",
103
+ "linear_out",
104
+ "linear_in",
105
+ "add_k_proj",
106
+ "to_v",
107
+ "to_q",
108
+ "add_q_proj",
109
+ "to_k",
110
+ "to_out.0"
111
+ ],
112
+ "exclude_modules": null,
113
+ "lora_alpha": 32,
114
+ "lora_dropout": 0.0,
115
+ "fan_in_fan_out": false,
116
+ "bias": "none",
117
+ "use_rslora": false,
118
+ "modules_to_save": null,
119
+ "init_lora_weights": true,
120
+ "layers_to_transform": null,
121
+ "layers_pattern": null,
122
+ "rank_pattern": {},
123
+ "alpha_pattern": {},
124
+ "megatron_config": null,
125
+ "megatron_core": "megatron.core",
126
+ "trainable_token_indices": null,
127
+ "loftq_config": {},
128
+ "eva_config": null,
129
+ "corda_config": null,
130
+ "lora_ga_config": null,
131
+ "use_dora": false,
132
+ "velora_config": null,
133
+ "alora_invocation_tokens": null,
134
+ "use_qalora": false,
135
+ "qalora_group_size": 16,
136
+ "monteclora_config": {
137
+ "num_samples": 2,
138
+ "use_entropy": false,
139
+ "dirichlet_prior": 1.0,
140
+ "sample_scaler": 0.005,
141
+ "kl_loss_weight": 1e-05,
142
+ "buffer_size": 150
143
+ },
144
+ "layer_replication": null,
145
+ "lora_bias": false,
146
+ "target_parameters": null,
147
+ "use_bdlora": null,
148
+ "arrow_config": null,
149
+ "kasa_config": null,
150
+ "ensure_weight_tying": false
151
+ },
152
+ "error_msg": ""
153
+ },
154
+ "train_info": {
155
+ "accelerator_memory_reserved_avg": 13433281970,
156
+ "accelerator_memory_max": 13604225024,
157
+ "accelerator_memory_reserved_99th": 13604225024,
158
+ "train_time": 1239.681389827003,
159
+ "file_size": 76840128,
160
+ "num_trainable_params": 19170720,
161
+ "num_total_params": 3894715296,
162
+ "status": "success",
163
+ "metrics": [
164
+ {
165
+ "step": 100,
166
+ "valid dino_similarity": 0.6199418306350708,
167
+ "train loss": 0.769393265247345,
168
+ "train samples": 200,
169
+ "train time": 134.65654390699274,
170
+ "eval time": 14.430484391999926,
171
+ "mem allocated avg": 11558350080.0,
172
+ "mem reserved avg": 13241417728.0,
173
+ "elapsed time": 159.78976574700027
174
+ },
175
+ {
176
+ "step": 200,
177
+ "valid dino_similarity": 0.6923468112945557,
178
+ "train loss": 0.7520979642868042,
179
+ "train samples": 400,
180
+ "train time": 134.753199038998,
181
+ "eval time": 14.41106009899886,
182
+ "mem allocated avg": 11558402304.0,
183
+ "mem reserved avg": 13436452864.0,
184
+ "elapsed time": 308.97113277100107
185
+ },
186
+ {
187
+ "step": 300,
188
+ "valid dino_similarity": 0.7458566427230835,
189
+ "train loss": 0.7675377726554871,
190
+ "train samples": 600,
191
+ "train time": 134.93847619500957,
192
+ "eval time": 14.41531183099869,
193
+ "mem allocated avg": 11558453504.0,
194
+ "mem reserved avg": 13557039104.0,
195
+ "elapsed time": 458.3425728689999
196
+ },
197
+ {
198
+ "step": 400,
199
+ "valid dino_similarity": 0.6868031620979309,
200
+ "train loss": 0.7522869110107422,
201
+ "train samples": 800,
202
+ "train time": 137.62724527499267,
203
+ "eval time": 14.411383546999787,
204
+ "mem allocated avg": 11558504704.0,
205
+ "mem reserved avg": 13421982515.2,
206
+ "elapsed time": 610.3989329360011
207
+ },
208
+ {
209
+ "step": 500,
210
+ "valid dino_similarity": 0.5612921714782715,
211
+ "train loss": 0.7406296133995056,
212
+ "train samples": 1000,
213
+ "train time": 134.98270737200437,
214
+ "eval time": 14.384255233999284,
215
+ "mem allocated avg": 11558555904.0,
216
+ "mem reserved avg": 13497417072.64,
217
+ "elapsed time": 759.7836112200002
218
+ },
219
+ {
220
+ "step": 600,
221
+ "valid dino_similarity": 0.7031165957450867,
222
+ "train loss": 0.754619836807251,
223
+ "train samples": 1200,
224
+ "train time": 135.09228307401463,
225
+ "eval time": 14.373763265000889,
226
+ "mem allocated avg": 11558607104.0,
227
+ "mem reserved avg": 13490328698.88,
228
+ "elapsed time": 909.2677898689999
229
+ },
230
+ {
231
+ "step": 700,
232
+ "valid dino_similarity": 0.5980947017669678,
233
+ "train loss": 0.7451736330986023,
234
+ "train samples": 1400,
235
+ "train time": 137.5080714459982,
236
+ "eval time": 14.40982415200051,
237
+ "mem allocated avg": 11558658304.0,
238
+ "mem reserved avg": 13438445158.4,
239
+ "elapsed time": 1061.2039797100006
240
+ },
241
+ {
242
+ "step": 750,
243
+ "test dino_similarity": 0.678026040395101,
244
+ "drift": 0.2615441828966141,
245
+ "train loss": 0.7436673045158386,
246
+ "train samples": 1500
247
+ }
248
+ ]
249
+ },
250
+ "meta_info": {
251
+ "model_info": {
252
+ "sha": "a3b4f4849157f664bdbc776fd7453c2783562f4d",
253
+ "created_at": "2026-01-14T13:42:28+00:00"
254
+ },
255
+ "dataset_info": {
256
+ "sha": "37df3244ae3aa36e85178b6cf946338137fc3068",
257
+ "created_at": "2026-03-09T15:31:26+00:00"
258
+ },
259
+ "package_info": {
260
+ "transformers-version": "5.16.0",
261
+ "transformers-commit-hash": null,
262
+ "peft-version": "0.21.1.dev0",
263
+ "peft-commit-hash": "51f0a9124366694e4012e6aeef8b486096e87440",
264
+ "datasets-version": "5.0.1",
265
+ "datasets-commit-hash": null,
266
+ "diffusers-version": "0.40.0",
267
+ "diffusers-commit-hash": null,
268
+ "torch-version": "2.13.0+cu130",
269
+ "torch-commit-hash": null
270
+ },
271
+ "system_info": {
272
+ "system": "Linux",
273
+ "release": "7.0.0-31-generic",
274
+ "version": "#31~24.04.1-Ubuntu SMP PREEMPT_DYNAMIC Mon Aug 10 09:38:02 UTC 2",
275
+ "machine": "x86_64",
276
+ "processor": "x86_64",
277
+ "accelerator": "NVIDIA GeForce RTX 5070 Ti"
278
+ },
279
+ "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"
280
+ }
281
+ }