Upload 8 files
Browse files- config.json +313 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- preprocessor_config.json +22 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +439 -0
- training_args.bin +3 -0
config.json
ADDED
|
@@ -0,0 +1,313 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "microsoft/swin-base-patch4-window7-224-in22k",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"SwinForImageClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"depths": [
|
| 8 |
+
2,
|
| 9 |
+
2,
|
| 10 |
+
18,
|
| 11 |
+
2
|
| 12 |
+
],
|
| 13 |
+
"drop_path_rate": 0.1,
|
| 14 |
+
"embed_dim": 128,
|
| 15 |
+
"encoder_stride": 32,
|
| 16 |
+
"hidden_act": "gelu",
|
| 17 |
+
"hidden_dropout_prob": 0.0,
|
| 18 |
+
"hidden_size": 1024,
|
| 19 |
+
"id2label": {
|
| 20 |
+
"0": "001",
|
| 21 |
+
"1": "001_forg",
|
| 22 |
+
"2": "002",
|
| 23 |
+
"3": "002_forg",
|
| 24 |
+
"4": "003",
|
| 25 |
+
"5": "003_forg",
|
| 26 |
+
"6": "004",
|
| 27 |
+
"7": "004_forg",
|
| 28 |
+
"8": "006",
|
| 29 |
+
"9": "006_forg",
|
| 30 |
+
"10": "009",
|
| 31 |
+
"11": "009_forg",
|
| 32 |
+
"12": "012",
|
| 33 |
+
"13": "012_forg",
|
| 34 |
+
"14": "013",
|
| 35 |
+
"15": "013_forg",
|
| 36 |
+
"16": "014",
|
| 37 |
+
"17": "014_forg",
|
| 38 |
+
"18": "015",
|
| 39 |
+
"19": "015_forg",
|
| 40 |
+
"20": "016",
|
| 41 |
+
"21": "016_forg",
|
| 42 |
+
"22": "017",
|
| 43 |
+
"23": "017_forg",
|
| 44 |
+
"24": "018",
|
| 45 |
+
"25": "018_forg",
|
| 46 |
+
"26": "019",
|
| 47 |
+
"27": "019_forg",
|
| 48 |
+
"28": "020",
|
| 49 |
+
"29": "020_forg",
|
| 50 |
+
"30": "021",
|
| 51 |
+
"31": "021_forg",
|
| 52 |
+
"32": "022",
|
| 53 |
+
"33": "022_forg",
|
| 54 |
+
"34": "023",
|
| 55 |
+
"35": "023_forg",
|
| 56 |
+
"36": "024",
|
| 57 |
+
"37": "024_forg",
|
| 58 |
+
"38": "025",
|
| 59 |
+
"39": "025_forg",
|
| 60 |
+
"40": "026",
|
| 61 |
+
"41": "026_forg",
|
| 62 |
+
"42": "027",
|
| 63 |
+
"43": "027_forg",
|
| 64 |
+
"44": "028",
|
| 65 |
+
"45": "028_forg",
|
| 66 |
+
"46": "029",
|
| 67 |
+
"47": "029_forg",
|
| 68 |
+
"48": "030",
|
| 69 |
+
"49": "030_forg",
|
| 70 |
+
"50": "031",
|
| 71 |
+
"51": "031_forg",
|
| 72 |
+
"52": "032",
|
| 73 |
+
"53": "032_forg",
|
| 74 |
+
"54": "033",
|
| 75 |
+
"55": "033_forg",
|
| 76 |
+
"56": "034",
|
| 77 |
+
"57": "034_forg",
|
| 78 |
+
"58": "035",
|
| 79 |
+
"59": "035_forg",
|
| 80 |
+
"60": "036",
|
| 81 |
+
"61": "036_forg",
|
| 82 |
+
"62": "037",
|
| 83 |
+
"63": "037_forg",
|
| 84 |
+
"64": "038",
|
| 85 |
+
"65": "038_forg",
|
| 86 |
+
"66": "039",
|
| 87 |
+
"67": "039_forg",
|
| 88 |
+
"68": "040",
|
| 89 |
+
"69": "040_forg",
|
| 90 |
+
"70": "041",
|
| 91 |
+
"71": "041_forg",
|
| 92 |
+
"72": "042",
|
| 93 |
+
"73": "042_forg",
|
| 94 |
+
"74": "043",
|
| 95 |
+
"75": "043_forg",
|
| 96 |
+
"76": "044",
|
| 97 |
+
"77": "044_forg",
|
| 98 |
+
"78": "045",
|
| 99 |
+
"79": "045_forg",
|
| 100 |
+
"80": "046",
|
| 101 |
+
"81": "046_forg",
|
| 102 |
+
"82": "047",
|
| 103 |
+
"83": "047_forg",
|
| 104 |
+
"84": "048",
|
| 105 |
+
"85": "048_forg",
|
| 106 |
+
"86": "049",
|
| 107 |
+
"87": "049_forg",
|
| 108 |
+
"88": "050",
|
| 109 |
+
"89": "050_forg",
|
| 110 |
+
"90": "051",
|
| 111 |
+
"91": "051_forg",
|
| 112 |
+
"92": "052",
|
| 113 |
+
"93": "052_forg",
|
| 114 |
+
"94": "053",
|
| 115 |
+
"95": "053_forg",
|
| 116 |
+
"96": "054",
|
| 117 |
+
"97": "054_forg",
|
| 118 |
+
"98": "055",
|
| 119 |
+
"99": "055_forg",
|
| 120 |
+
"100": "056",
|
| 121 |
+
"101": "056_forg",
|
| 122 |
+
"102": "057",
|
| 123 |
+
"103": "057_forg",
|
| 124 |
+
"104": "058",
|
| 125 |
+
"105": "058_forg",
|
| 126 |
+
"106": "059",
|
| 127 |
+
"107": "059_forg",
|
| 128 |
+
"108": "060",
|
| 129 |
+
"109": "060_forg",
|
| 130 |
+
"110": "061",
|
| 131 |
+
"111": "061_forg",
|
| 132 |
+
"112": "062",
|
| 133 |
+
"113": "062_forg",
|
| 134 |
+
"114": "063",
|
| 135 |
+
"115": "063_forg",
|
| 136 |
+
"116": "064",
|
| 137 |
+
"117": "064_forg",
|
| 138 |
+
"118": "065",
|
| 139 |
+
"119": "065_forg",
|
| 140 |
+
"120": "066",
|
| 141 |
+
"121": "066_forg",
|
| 142 |
+
"122": "067",
|
| 143 |
+
"123": "067_forg",
|
| 144 |
+
"124": "068",
|
| 145 |
+
"125": "068_forg",
|
| 146 |
+
"126": "069",
|
| 147 |
+
"127": "069_forg"
|
| 148 |
+
},
|
| 149 |
+
"image_size": 224,
|
| 150 |
+
"initializer_range": 0.02,
|
| 151 |
+
"label2id": {
|
| 152 |
+
"001": 0,
|
| 153 |
+
"001_forg": 1,
|
| 154 |
+
"002": 2,
|
| 155 |
+
"002_forg": 3,
|
| 156 |
+
"003": 4,
|
| 157 |
+
"003_forg": 5,
|
| 158 |
+
"004": 6,
|
| 159 |
+
"004_forg": 7,
|
| 160 |
+
"006": 8,
|
| 161 |
+
"006_forg": 9,
|
| 162 |
+
"009": 10,
|
| 163 |
+
"009_forg": 11,
|
| 164 |
+
"012": 12,
|
| 165 |
+
"012_forg": 13,
|
| 166 |
+
"013": 14,
|
| 167 |
+
"013_forg": 15,
|
| 168 |
+
"014": 16,
|
| 169 |
+
"014_forg": 17,
|
| 170 |
+
"015": 18,
|
| 171 |
+
"015_forg": 19,
|
| 172 |
+
"016": 20,
|
| 173 |
+
"016_forg": 21,
|
| 174 |
+
"017": 22,
|
| 175 |
+
"017_forg": 23,
|
| 176 |
+
"018": 24,
|
| 177 |
+
"018_forg": 25,
|
| 178 |
+
"019": 26,
|
| 179 |
+
"019_forg": 27,
|
| 180 |
+
"020": 28,
|
| 181 |
+
"020_forg": 29,
|
| 182 |
+
"021": 30,
|
| 183 |
+
"021_forg": 31,
|
| 184 |
+
"022": 32,
|
| 185 |
+
"022_forg": 33,
|
| 186 |
+
"023": 34,
|
| 187 |
+
"023_forg": 35,
|
| 188 |
+
"024": 36,
|
| 189 |
+
"024_forg": 37,
|
| 190 |
+
"025": 38,
|
| 191 |
+
"025_forg": 39,
|
| 192 |
+
"026": 40,
|
| 193 |
+
"026_forg": 41,
|
| 194 |
+
"027": 42,
|
| 195 |
+
"027_forg": 43,
|
| 196 |
+
"028": 44,
|
| 197 |
+
"028_forg": 45,
|
| 198 |
+
"029": 46,
|
| 199 |
+
"029_forg": 47,
|
| 200 |
+
"030": 48,
|
| 201 |
+
"030_forg": 49,
|
| 202 |
+
"031": 50,
|
| 203 |
+
"031_forg": 51,
|
| 204 |
+
"032": 52,
|
| 205 |
+
"032_forg": 53,
|
| 206 |
+
"033": 54,
|
| 207 |
+
"033_forg": 55,
|
| 208 |
+
"034": 56,
|
| 209 |
+
"034_forg": 57,
|
| 210 |
+
"035": 58,
|
| 211 |
+
"035_forg": 59,
|
| 212 |
+
"036": 60,
|
| 213 |
+
"036_forg": 61,
|
| 214 |
+
"037": 62,
|
| 215 |
+
"037_forg": 63,
|
| 216 |
+
"038": 64,
|
| 217 |
+
"038_forg": 65,
|
| 218 |
+
"039": 66,
|
| 219 |
+
"039_forg": 67,
|
| 220 |
+
"040": 68,
|
| 221 |
+
"040_forg": 69,
|
| 222 |
+
"041": 70,
|
| 223 |
+
"041_forg": 71,
|
| 224 |
+
"042": 72,
|
| 225 |
+
"042_forg": 73,
|
| 226 |
+
"043": 74,
|
| 227 |
+
"043_forg": 75,
|
| 228 |
+
"044": 76,
|
| 229 |
+
"044_forg": 77,
|
| 230 |
+
"045": 78,
|
| 231 |
+
"045_forg": 79,
|
| 232 |
+
"046": 80,
|
| 233 |
+
"046_forg": 81,
|
| 234 |
+
"047": 82,
|
| 235 |
+
"047_forg": 83,
|
| 236 |
+
"048": 84,
|
| 237 |
+
"048_forg": 85,
|
| 238 |
+
"049": 86,
|
| 239 |
+
"049_forg": 87,
|
| 240 |
+
"050": 88,
|
| 241 |
+
"050_forg": 89,
|
| 242 |
+
"051": 90,
|
| 243 |
+
"051_forg": 91,
|
| 244 |
+
"052": 92,
|
| 245 |
+
"052_forg": 93,
|
| 246 |
+
"053": 94,
|
| 247 |
+
"053_forg": 95,
|
| 248 |
+
"054": 96,
|
| 249 |
+
"054_forg": 97,
|
| 250 |
+
"055": 98,
|
| 251 |
+
"055_forg": 99,
|
| 252 |
+
"056": 100,
|
| 253 |
+
"056_forg": 101,
|
| 254 |
+
"057": 102,
|
| 255 |
+
"057_forg": 103,
|
| 256 |
+
"058": 104,
|
| 257 |
+
"058_forg": 105,
|
| 258 |
+
"059": 106,
|
| 259 |
+
"059_forg": 107,
|
| 260 |
+
"060": 108,
|
| 261 |
+
"060_forg": 109,
|
| 262 |
+
"061": 110,
|
| 263 |
+
"061_forg": 111,
|
| 264 |
+
"062": 112,
|
| 265 |
+
"062_forg": 113,
|
| 266 |
+
"063": 114,
|
| 267 |
+
"063_forg": 115,
|
| 268 |
+
"064": 116,
|
| 269 |
+
"064_forg": 117,
|
| 270 |
+
"065": 118,
|
| 271 |
+
"065_forg": 119,
|
| 272 |
+
"066": 120,
|
| 273 |
+
"066_forg": 121,
|
| 274 |
+
"067": 122,
|
| 275 |
+
"067_forg": 123,
|
| 276 |
+
"068": 124,
|
| 277 |
+
"068_forg": 125,
|
| 278 |
+
"069": 126,
|
| 279 |
+
"069_forg": 127
|
| 280 |
+
},
|
| 281 |
+
"layer_norm_eps": 1e-05,
|
| 282 |
+
"mlp_ratio": 4.0,
|
| 283 |
+
"model_type": "swin",
|
| 284 |
+
"num_channels": 3,
|
| 285 |
+
"num_heads": [
|
| 286 |
+
4,
|
| 287 |
+
8,
|
| 288 |
+
16,
|
| 289 |
+
32
|
| 290 |
+
],
|
| 291 |
+
"num_layers": 4,
|
| 292 |
+
"out_features": [
|
| 293 |
+
"stage4"
|
| 294 |
+
],
|
| 295 |
+
"out_indices": [
|
| 296 |
+
4
|
| 297 |
+
],
|
| 298 |
+
"patch_size": 4,
|
| 299 |
+
"path_norm": true,
|
| 300 |
+
"problem_type": "single_label_classification",
|
| 301 |
+
"qkv_bias": true,
|
| 302 |
+
"stage_names": [
|
| 303 |
+
"stem",
|
| 304 |
+
"stage1",
|
| 305 |
+
"stage2",
|
| 306 |
+
"stage3",
|
| 307 |
+
"stage4"
|
| 308 |
+
],
|
| 309 |
+
"torch_dtype": "float32",
|
| 310 |
+
"transformers_version": "4.35.2",
|
| 311 |
+
"use_absolute_embeddings": false,
|
| 312 |
+
"window_size": 7
|
| 313 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8115312f2670ec77211477998b55437119809de3fe5ccc67917d435a16cc1824
|
| 3 |
+
size 348015440
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:72cb32b24fc71fa251272bacf2bb056b165134474fe5e215b8ff9a6473792915
|
| 3 |
+
size 695350861
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_normalize": true,
|
| 3 |
+
"do_rescale": true,
|
| 4 |
+
"do_resize": true,
|
| 5 |
+
"image_mean": [
|
| 6 |
+
0.485,
|
| 7 |
+
0.456,
|
| 8 |
+
0.406
|
| 9 |
+
],
|
| 10 |
+
"image_processor_type": "ViTImageProcessor",
|
| 11 |
+
"image_std": [
|
| 12 |
+
0.229,
|
| 13 |
+
0.224,
|
| 14 |
+
0.225
|
| 15 |
+
],
|
| 16 |
+
"resample": 3,
|
| 17 |
+
"rescale_factor": 0.00392156862745098,
|
| 18 |
+
"size": {
|
| 19 |
+
"height": 224,
|
| 20 |
+
"width": 224
|
| 21 |
+
}
|
| 22 |
+
}
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5377541be1b7ecfe570d045b0d869ff8d9ed32ed19459d310e152ba43d45d889
|
| 3 |
+
size 14244
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c5196e8b6283bd73106905dbe14b86ceb960ef41a766cd494be7b8cb7159902e
|
| 3 |
+
size 1064
|
trainer_state.json
ADDED
|
@@ -0,0 +1,439 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.98828125,
|
| 3 |
+
"best_model_checkpoint": "./model/checkpoint-140",
|
| 4 |
+
"epoch": 20.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 400,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.5,
|
| 13 |
+
"learning_rate": 5e-06,
|
| 14 |
+
"loss": 0.0465,
|
| 15 |
+
"step": 10
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 1.0,
|
| 19 |
+
"learning_rate": 1e-05,
|
| 20 |
+
"loss": 0.041,
|
| 21 |
+
"step": 20
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 1.0,
|
| 25 |
+
"eval_accuracy": 0.984375,
|
| 26 |
+
"eval_loss": 0.11365039646625519,
|
| 27 |
+
"eval_runtime": 4.8919,
|
| 28 |
+
"eval_samples_per_second": 52.332,
|
| 29 |
+
"eval_steps_per_second": 6.541,
|
| 30 |
+
"step": 20
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 1.5,
|
| 34 |
+
"learning_rate": 1.5000000000000002e-05,
|
| 35 |
+
"loss": 0.0333,
|
| 36 |
+
"step": 30
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 2.0,
|
| 40 |
+
"learning_rate": 2e-05,
|
| 41 |
+
"loss": 0.037,
|
| 42 |
+
"step": 40
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"epoch": 2.0,
|
| 46 |
+
"eval_accuracy": 0.98046875,
|
| 47 |
+
"eval_loss": 0.12528091669082642,
|
| 48 |
+
"eval_runtime": 3.9769,
|
| 49 |
+
"eval_samples_per_second": 64.372,
|
| 50 |
+
"eval_steps_per_second": 8.046,
|
| 51 |
+
"step": 40
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 2.5,
|
| 55 |
+
"learning_rate": 1.9444444444444445e-05,
|
| 56 |
+
"loss": 0.0342,
|
| 57 |
+
"step": 50
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 3.0,
|
| 61 |
+
"learning_rate": 1.888888888888889e-05,
|
| 62 |
+
"loss": 0.0367,
|
| 63 |
+
"step": 60
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 3.0,
|
| 67 |
+
"eval_accuracy": 0.98046875,
|
| 68 |
+
"eval_loss": 0.12140656262636185,
|
| 69 |
+
"eval_runtime": 4.3164,
|
| 70 |
+
"eval_samples_per_second": 59.309,
|
| 71 |
+
"eval_steps_per_second": 7.414,
|
| 72 |
+
"step": 60
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 3.5,
|
| 76 |
+
"learning_rate": 1.8333333333333333e-05,
|
| 77 |
+
"loss": 0.0301,
|
| 78 |
+
"step": 70
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 4.0,
|
| 82 |
+
"learning_rate": 1.7777777777777777e-05,
|
| 83 |
+
"loss": 0.0298,
|
| 84 |
+
"step": 80
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 4.0,
|
| 88 |
+
"eval_accuracy": 0.98046875,
|
| 89 |
+
"eval_loss": 0.08230899274349213,
|
| 90 |
+
"eval_runtime": 4.114,
|
| 91 |
+
"eval_samples_per_second": 62.227,
|
| 92 |
+
"eval_steps_per_second": 7.778,
|
| 93 |
+
"step": 80
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 4.5,
|
| 97 |
+
"learning_rate": 1.7222222222222224e-05,
|
| 98 |
+
"loss": 0.0186,
|
| 99 |
+
"step": 90
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 5.0,
|
| 103 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 104 |
+
"loss": 0.0165,
|
| 105 |
+
"step": 100
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 5.0,
|
| 109 |
+
"eval_accuracy": 0.98046875,
|
| 110 |
+
"eval_loss": 0.08846013247966766,
|
| 111 |
+
"eval_runtime": 4.7826,
|
| 112 |
+
"eval_samples_per_second": 53.527,
|
| 113 |
+
"eval_steps_per_second": 6.691,
|
| 114 |
+
"step": 100
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 5.5,
|
| 118 |
+
"learning_rate": 1.6111111111111115e-05,
|
| 119 |
+
"loss": 0.0212,
|
| 120 |
+
"step": 110
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 6.0,
|
| 124 |
+
"learning_rate": 1.555555555555556e-05,
|
| 125 |
+
"loss": 0.0142,
|
| 126 |
+
"step": 120
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"epoch": 6.0,
|
| 130 |
+
"eval_accuracy": 0.9765625,
|
| 131 |
+
"eval_loss": 0.07800224423408508,
|
| 132 |
+
"eval_runtime": 3.9449,
|
| 133 |
+
"eval_samples_per_second": 64.894,
|
| 134 |
+
"eval_steps_per_second": 8.112,
|
| 135 |
+
"step": 120
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 6.5,
|
| 139 |
+
"learning_rate": 1.5000000000000002e-05,
|
| 140 |
+
"loss": 0.0122,
|
| 141 |
+
"step": 130
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 7.0,
|
| 145 |
+
"learning_rate": 1.4444444444444446e-05,
|
| 146 |
+
"loss": 0.0145,
|
| 147 |
+
"step": 140
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 7.0,
|
| 151 |
+
"eval_accuracy": 0.98828125,
|
| 152 |
+
"eval_loss": 0.06642253696918488,
|
| 153 |
+
"eval_runtime": 4.2638,
|
| 154 |
+
"eval_samples_per_second": 60.04,
|
| 155 |
+
"eval_steps_per_second": 7.505,
|
| 156 |
+
"step": 140
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 7.5,
|
| 160 |
+
"learning_rate": 1.388888888888889e-05,
|
| 161 |
+
"loss": 0.0165,
|
| 162 |
+
"step": 150
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 8.0,
|
| 166 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 167 |
+
"loss": 0.0105,
|
| 168 |
+
"step": 160
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 8.0,
|
| 172 |
+
"eval_accuracy": 0.984375,
|
| 173 |
+
"eval_loss": 0.05820595473051071,
|
| 174 |
+
"eval_runtime": 4.7261,
|
| 175 |
+
"eval_samples_per_second": 54.167,
|
| 176 |
+
"eval_steps_per_second": 6.771,
|
| 177 |
+
"step": 160
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 8.5,
|
| 181 |
+
"learning_rate": 1.2777777777777777e-05,
|
| 182 |
+
"loss": 0.009,
|
| 183 |
+
"step": 170
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 9.0,
|
| 187 |
+
"learning_rate": 1.2222222222222224e-05,
|
| 188 |
+
"loss": 0.0136,
|
| 189 |
+
"step": 180
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 9.0,
|
| 193 |
+
"eval_accuracy": 0.984375,
|
| 194 |
+
"eval_loss": 0.06151523441076279,
|
| 195 |
+
"eval_runtime": 4.7568,
|
| 196 |
+
"eval_samples_per_second": 53.818,
|
| 197 |
+
"eval_steps_per_second": 6.727,
|
| 198 |
+
"step": 180
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 9.5,
|
| 202 |
+
"learning_rate": 1.1666666666666668e-05,
|
| 203 |
+
"loss": 0.0095,
|
| 204 |
+
"step": 190
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 10.0,
|
| 208 |
+
"learning_rate": 1.1111111111111113e-05,
|
| 209 |
+
"loss": 0.0088,
|
| 210 |
+
"step": 200
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 10.0,
|
| 214 |
+
"eval_accuracy": 0.984375,
|
| 215 |
+
"eval_loss": 0.051664501428604126,
|
| 216 |
+
"eval_runtime": 4.0071,
|
| 217 |
+
"eval_samples_per_second": 63.886,
|
| 218 |
+
"eval_steps_per_second": 7.986,
|
| 219 |
+
"step": 200
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 10.5,
|
| 223 |
+
"learning_rate": 1.0555555555555557e-05,
|
| 224 |
+
"loss": 0.0087,
|
| 225 |
+
"step": 210
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 11.0,
|
| 229 |
+
"learning_rate": 1e-05,
|
| 230 |
+
"loss": 0.0048,
|
| 231 |
+
"step": 220
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 11.0,
|
| 235 |
+
"eval_accuracy": 0.98828125,
|
| 236 |
+
"eval_loss": 0.04740528017282486,
|
| 237 |
+
"eval_runtime": 4.776,
|
| 238 |
+
"eval_samples_per_second": 53.601,
|
| 239 |
+
"eval_steps_per_second": 6.7,
|
| 240 |
+
"step": 220
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 11.5,
|
| 244 |
+
"learning_rate": 9.444444444444445e-06,
|
| 245 |
+
"loss": 0.0056,
|
| 246 |
+
"step": 230
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 12.0,
|
| 250 |
+
"learning_rate": 8.888888888888888e-06,
|
| 251 |
+
"loss": 0.004,
|
| 252 |
+
"step": 240
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"epoch": 12.0,
|
| 256 |
+
"eval_accuracy": 0.984375,
|
| 257 |
+
"eval_loss": 0.04649289697408676,
|
| 258 |
+
"eval_runtime": 3.9995,
|
| 259 |
+
"eval_samples_per_second": 64.008,
|
| 260 |
+
"eval_steps_per_second": 8.001,
|
| 261 |
+
"step": 240
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 12.5,
|
| 265 |
+
"learning_rate": 8.333333333333334e-06,
|
| 266 |
+
"loss": 0.007,
|
| 267 |
+
"step": 250
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 13.0,
|
| 271 |
+
"learning_rate": 7.77777777777778e-06,
|
| 272 |
+
"loss": 0.004,
|
| 273 |
+
"step": 260
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 13.0,
|
| 277 |
+
"eval_accuracy": 0.984375,
|
| 278 |
+
"eval_loss": 0.05019224062561989,
|
| 279 |
+
"eval_runtime": 4.2397,
|
| 280 |
+
"eval_samples_per_second": 60.382,
|
| 281 |
+
"eval_steps_per_second": 7.548,
|
| 282 |
+
"step": 260
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 13.5,
|
| 286 |
+
"learning_rate": 7.222222222222223e-06,
|
| 287 |
+
"loss": 0.0039,
|
| 288 |
+
"step": 270
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"epoch": 14.0,
|
| 292 |
+
"learning_rate": 6.666666666666667e-06,
|
| 293 |
+
"loss": 0.0041,
|
| 294 |
+
"step": 280
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 14.0,
|
| 298 |
+
"eval_accuracy": 0.98828125,
|
| 299 |
+
"eval_loss": 0.03817906230688095,
|
| 300 |
+
"eval_runtime": 4.303,
|
| 301 |
+
"eval_samples_per_second": 59.493,
|
| 302 |
+
"eval_steps_per_second": 7.437,
|
| 303 |
+
"step": 280
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 14.5,
|
| 307 |
+
"learning_rate": 6.111111111111112e-06,
|
| 308 |
+
"loss": 0.0041,
|
| 309 |
+
"step": 290
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 15.0,
|
| 313 |
+
"learning_rate": 5.555555555555557e-06,
|
| 314 |
+
"loss": 0.0031,
|
| 315 |
+
"step": 300
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 15.0,
|
| 319 |
+
"eval_accuracy": 0.984375,
|
| 320 |
+
"eval_loss": 0.04823793098330498,
|
| 321 |
+
"eval_runtime": 4.2376,
|
| 322 |
+
"eval_samples_per_second": 60.411,
|
| 323 |
+
"eval_steps_per_second": 7.551,
|
| 324 |
+
"step": 300
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 15.5,
|
| 328 |
+
"learning_rate": 5e-06,
|
| 329 |
+
"loss": 0.0061,
|
| 330 |
+
"step": 310
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 16.0,
|
| 334 |
+
"learning_rate": 4.444444444444444e-06,
|
| 335 |
+
"loss": 0.0072,
|
| 336 |
+
"step": 320
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 16.0,
|
| 340 |
+
"eval_accuracy": 0.98828125,
|
| 341 |
+
"eval_loss": 0.04395627975463867,
|
| 342 |
+
"eval_runtime": 4.863,
|
| 343 |
+
"eval_samples_per_second": 52.642,
|
| 344 |
+
"eval_steps_per_second": 6.58,
|
| 345 |
+
"step": 320
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 16.5,
|
| 349 |
+
"learning_rate": 3.88888888888889e-06,
|
| 350 |
+
"loss": 0.0032,
|
| 351 |
+
"step": 330
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 17.0,
|
| 355 |
+
"learning_rate": 3.3333333333333333e-06,
|
| 356 |
+
"loss": 0.004,
|
| 357 |
+
"step": 340
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 17.0,
|
| 361 |
+
"eval_accuracy": 0.984375,
|
| 362 |
+
"eval_loss": 0.04199722409248352,
|
| 363 |
+
"eval_runtime": 4.0297,
|
| 364 |
+
"eval_samples_per_second": 63.528,
|
| 365 |
+
"eval_steps_per_second": 7.941,
|
| 366 |
+
"step": 340
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 17.5,
|
| 370 |
+
"learning_rate": 2.7777777777777783e-06,
|
| 371 |
+
"loss": 0.0033,
|
| 372 |
+
"step": 350
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 18.0,
|
| 376 |
+
"learning_rate": 2.222222222222222e-06,
|
| 377 |
+
"loss": 0.0026,
|
| 378 |
+
"step": 360
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 18.0,
|
| 382 |
+
"eval_accuracy": 0.98828125,
|
| 383 |
+
"eval_loss": 0.03974057734012604,
|
| 384 |
+
"eval_runtime": 4.1185,
|
| 385 |
+
"eval_samples_per_second": 62.158,
|
| 386 |
+
"eval_steps_per_second": 7.77,
|
| 387 |
+
"step": 360
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 18.5,
|
| 391 |
+
"learning_rate": 1.6666666666666667e-06,
|
| 392 |
+
"loss": 0.0043,
|
| 393 |
+
"step": 370
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 19.0,
|
| 397 |
+
"learning_rate": 1.111111111111111e-06,
|
| 398 |
+
"loss": 0.0041,
|
| 399 |
+
"step": 380
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 19.0,
|
| 403 |
+
"eval_accuracy": 0.98828125,
|
| 404 |
+
"eval_loss": 0.04067450016736984,
|
| 405 |
+
"eval_runtime": 4.7682,
|
| 406 |
+
"eval_samples_per_second": 53.688,
|
| 407 |
+
"eval_steps_per_second": 6.711,
|
| 408 |
+
"step": 380
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 19.5,
|
| 412 |
+
"learning_rate": 5.555555555555555e-07,
|
| 413 |
+
"loss": 0.0025,
|
| 414 |
+
"step": 390
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 20.0,
|
| 418 |
+
"learning_rate": 0.0,
|
| 419 |
+
"loss": 0.004,
|
| 420 |
+
"step": 400
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 20.0,
|
| 424 |
+
"eval_accuracy": 0.98828125,
|
| 425 |
+
"eval_loss": 0.040177565068006516,
|
| 426 |
+
"eval_runtime": 3.9732,
|
| 427 |
+
"eval_samples_per_second": 64.432,
|
| 428 |
+
"eval_steps_per_second": 8.054,
|
| 429 |
+
"step": 400
|
| 430 |
+
}
|
| 431 |
+
],
|
| 432 |
+
"logging_steps": 10,
|
| 433 |
+
"max_steps": 400,
|
| 434 |
+
"num_train_epochs": 20,
|
| 435 |
+
"save_steps": 500,
|
| 436 |
+
"total_flos": 2.1859568857379635e+18,
|
| 437 |
+
"trial_name": null,
|
| 438 |
+
"trial_params": null
|
| 439 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aae1c9dc7358ab0ae97794c0422bfc7121545390864859b67b28acbaa39a1771
|
| 3 |
+
size 4536
|