cheers
Browse files- all_results.json +10 -9
- eval_results.json +6 -5
- runs/May15_17-51-41_601c3d0c9bcd/events.out.tfevents.1715796114.601c3d0c9bcd.2403.5 +3 -0
- test_results.json +6 -5
- train_results.json +4 -4
- trainer_state.json +86 -81
all_results.json
CHANGED
|
@@ -1,13 +1,14 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"
|
| 5 |
-
"
|
| 6 |
-
"
|
| 7 |
-
"
|
|
|
|
| 8 |
"total_flos": 6.129616378514227e+17,
|
| 9 |
-
"train_loss": 0.
|
| 10 |
-
"train_runtime":
|
| 11 |
-
"train_samples_per_second":
|
| 12 |
-
"train_steps_per_second":
|
| 13 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.93,
|
| 4 |
+
"eval_f1": 0.9300630567510759,
|
| 5 |
+
"eval_loss": 0.20269981026649475,
|
| 6 |
+
"eval_runtime": 4.3874,
|
| 7 |
+
"eval_samples_per_second": 22.793,
|
| 8 |
+
"eval_steps_per_second": 2.963,
|
| 9 |
"total_flos": 6.129616378514227e+17,
|
| 10 |
+
"train_loss": 0.15593594065308572,
|
| 11 |
+
"train_runtime": 520.5132,
|
| 12 |
+
"train_samples_per_second": 15.197,
|
| 13 |
+
"train_steps_per_second": 0.961
|
| 14 |
}
|
eval_results.json
CHANGED
|
@@ -1,8 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"
|
| 5 |
-
"
|
| 6 |
-
"
|
| 7 |
-
"
|
|
|
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.93,
|
| 4 |
+
"eval_f1": 0.9300630567510759,
|
| 5 |
+
"eval_loss": 0.20269981026649475,
|
| 6 |
+
"eval_runtime": 4.3874,
|
| 7 |
+
"eval_samples_per_second": 22.793,
|
| 8 |
+
"eval_steps_per_second": 2.963
|
| 9 |
}
|
runs/May15_17-51-41_601c3d0c9bcd/events.out.tfevents.1715796114.601c3d0c9bcd.2403.5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b09ac8ef764ada0ff07fe5325f7ccb42ff164a3861de51b15774f70bb7f2de03
|
| 3 |
+
size 1195
|
test_results.json
CHANGED
|
@@ -1,8 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"
|
| 5 |
-
"
|
| 6 |
-
"
|
| 7 |
-
"
|
|
|
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
+
"eval_accuracy": 0.9387755102040817,
|
| 4 |
+
"eval_f1": 0.9387755102040817,
|
| 5 |
+
"eval_loss": 0.2074955552816391,
|
| 6 |
+
"eval_runtime": 2.7072,
|
| 7 |
+
"eval_samples_per_second": 36.2,
|
| 8 |
+
"eval_steps_per_second": 4.802
|
| 9 |
}
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
"total_flos": 6.129616378514227e+17,
|
| 4 |
-
"train_loss": 0.
|
| 5 |
-
"train_runtime":
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 10.0,
|
| 3 |
"total_flos": 6.129616378514227e+17,
|
| 4 |
+
"train_loss": 0.15593594065308572,
|
| 5 |
+
"train_runtime": 520.5132,
|
| 6 |
+
"train_samples_per_second": 15.197,
|
| 7 |
+
"train_steps_per_second": 0.961
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "./vit-accident-image/checkpoint-
|
| 4 |
"epoch": 10.0,
|
| 5 |
"global_step": 500,
|
| 6 |
"is_hyper_param_search": false,
|
|
@@ -10,356 +10,361 @@
|
|
| 10 |
{
|
| 11 |
"epoch": 0.2,
|
| 12 |
"learning_rate": 0.000196,
|
| 13 |
-
"loss": 0.
|
| 14 |
"step": 10
|
| 15 |
},
|
| 16 |
{
|
| 17 |
"epoch": 0.4,
|
| 18 |
"learning_rate": 0.000192,
|
| 19 |
-
"loss": 0.
|
| 20 |
"step": 20
|
| 21 |
},
|
| 22 |
{
|
| 23 |
"epoch": 0.6,
|
| 24 |
"learning_rate": 0.000188,
|
| 25 |
-
"loss": 0.
|
| 26 |
"step": 30
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"epoch": 0.8,
|
| 30 |
"learning_rate": 0.00018400000000000003,
|
| 31 |
-
"loss": 0.
|
| 32 |
"step": 40
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"epoch": 1.0,
|
| 36 |
"learning_rate": 0.00018,
|
| 37 |
-
"loss": 0.
|
| 38 |
"step": 50
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 1.2,
|
| 42 |
"learning_rate": 0.00017600000000000002,
|
| 43 |
-
"loss": 0.
|
| 44 |
"step": 60
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 1.4,
|
| 48 |
"learning_rate": 0.000172,
|
| 49 |
-
"loss": 0.
|
| 50 |
"step": 70
|
| 51 |
},
|
| 52 |
{
|
| 53 |
"epoch": 1.6,
|
| 54 |
"learning_rate": 0.000168,
|
| 55 |
-
"loss": 0.
|
| 56 |
"step": 80
|
| 57 |
},
|
| 58 |
{
|
| 59 |
"epoch": 1.8,
|
| 60 |
"learning_rate": 0.000164,
|
| 61 |
-
"loss": 0.
|
| 62 |
"step": 90
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 2.0,
|
| 66 |
"learning_rate": 0.00016,
|
| 67 |
-
"loss": 0.
|
| 68 |
"step": 100
|
| 69 |
},
|
| 70 |
{
|
| 71 |
"epoch": 2.0,
|
| 72 |
-
"eval_accuracy": 0.
|
| 73 |
-
"
|
| 74 |
-
"
|
| 75 |
-
"
|
| 76 |
-
"
|
|
|
|
| 77 |
"step": 100
|
| 78 |
},
|
| 79 |
{
|
| 80 |
"epoch": 2.2,
|
| 81 |
"learning_rate": 0.00015600000000000002,
|
| 82 |
-
"loss": 0.
|
| 83 |
"step": 110
|
| 84 |
},
|
| 85 |
{
|
| 86 |
"epoch": 2.4,
|
| 87 |
"learning_rate": 0.000152,
|
| 88 |
-
"loss": 0.
|
| 89 |
"step": 120
|
| 90 |
},
|
| 91 |
{
|
| 92 |
"epoch": 2.6,
|
| 93 |
"learning_rate": 0.000148,
|
| 94 |
-
"loss": 0.
|
| 95 |
"step": 130
|
| 96 |
},
|
| 97 |
{
|
| 98 |
"epoch": 2.8,
|
| 99 |
"learning_rate": 0.000144,
|
| 100 |
-
"loss": 0.
|
| 101 |
"step": 140
|
| 102 |
},
|
| 103 |
{
|
| 104 |
"epoch": 3.0,
|
| 105 |
"learning_rate": 0.00014,
|
| 106 |
-
"loss": 0.
|
| 107 |
"step": 150
|
| 108 |
},
|
| 109 |
{
|
| 110 |
"epoch": 3.2,
|
| 111 |
"learning_rate": 0.00013600000000000003,
|
| 112 |
-
"loss": 0.
|
| 113 |
"step": 160
|
| 114 |
},
|
| 115 |
{
|
| 116 |
"epoch": 3.4,
|
| 117 |
"learning_rate": 0.000132,
|
| 118 |
-
"loss": 0.
|
| 119 |
"step": 170
|
| 120 |
},
|
| 121 |
{
|
| 122 |
"epoch": 3.6,
|
| 123 |
"learning_rate": 0.00012800000000000002,
|
| 124 |
-
"loss": 0.
|
| 125 |
"step": 180
|
| 126 |
},
|
| 127 |
{
|
| 128 |
"epoch": 3.8,
|
| 129 |
"learning_rate": 0.000124,
|
| 130 |
-
"loss": 0.
|
| 131 |
"step": 190
|
| 132 |
},
|
| 133 |
{
|
| 134 |
"epoch": 4.0,
|
| 135 |
"learning_rate": 0.00012,
|
| 136 |
-
"loss": 0.
|
| 137 |
"step": 200
|
| 138 |
},
|
| 139 |
{
|
| 140 |
"epoch": 4.0,
|
| 141 |
-
"eval_accuracy": 0.
|
| 142 |
-
"
|
| 143 |
-
"
|
| 144 |
-
"
|
| 145 |
-
"
|
|
|
|
| 146 |
"step": 200
|
| 147 |
},
|
| 148 |
{
|
| 149 |
"epoch": 4.2,
|
| 150 |
"learning_rate": 0.000116,
|
| 151 |
-
"loss": 0.
|
| 152 |
"step": 210
|
| 153 |
},
|
| 154 |
{
|
| 155 |
"epoch": 4.4,
|
| 156 |
"learning_rate": 0.00011200000000000001,
|
| 157 |
-
"loss": 0.
|
| 158 |
"step": 220
|
| 159 |
},
|
| 160 |
{
|
| 161 |
"epoch": 4.6,
|
| 162 |
"learning_rate": 0.00010800000000000001,
|
| 163 |
-
"loss": 0.
|
| 164 |
"step": 230
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 4.8,
|
| 168 |
"learning_rate": 0.00010400000000000001,
|
| 169 |
-
"loss": 0.
|
| 170 |
"step": 240
|
| 171 |
},
|
| 172 |
{
|
| 173 |
"epoch": 5.0,
|
| 174 |
"learning_rate": 0.0001,
|
| 175 |
-
"loss": 0.
|
| 176 |
"step": 250
|
| 177 |
},
|
| 178 |
{
|
| 179 |
"epoch": 5.2,
|
| 180 |
"learning_rate": 9.6e-05,
|
| 181 |
-
"loss": 0.
|
| 182 |
"step": 260
|
| 183 |
},
|
| 184 |
{
|
| 185 |
"epoch": 5.4,
|
| 186 |
"learning_rate": 9.200000000000001e-05,
|
| 187 |
-
"loss": 0.
|
| 188 |
"step": 270
|
| 189 |
},
|
| 190 |
{
|
| 191 |
"epoch": 5.6,
|
| 192 |
"learning_rate": 8.800000000000001e-05,
|
| 193 |
-
"loss": 0.
|
| 194 |
"step": 280
|
| 195 |
},
|
| 196 |
{
|
| 197 |
"epoch": 5.8,
|
| 198 |
"learning_rate": 8.4e-05,
|
| 199 |
-
"loss": 0.
|
| 200 |
"step": 290
|
| 201 |
},
|
| 202 |
{
|
| 203 |
"epoch": 6.0,
|
| 204 |
"learning_rate": 8e-05,
|
| 205 |
-
"loss": 0.
|
| 206 |
"step": 300
|
| 207 |
},
|
| 208 |
{
|
| 209 |
"epoch": 6.0,
|
| 210 |
-
"eval_accuracy": 0.
|
| 211 |
-
"
|
| 212 |
-
"
|
| 213 |
-
"
|
| 214 |
-
"
|
|
|
|
| 215 |
"step": 300
|
| 216 |
},
|
| 217 |
{
|
| 218 |
"epoch": 6.2,
|
| 219 |
"learning_rate": 7.6e-05,
|
| 220 |
-
"loss": 0.
|
| 221 |
"step": 310
|
| 222 |
},
|
| 223 |
{
|
| 224 |
"epoch": 6.4,
|
| 225 |
"learning_rate": 7.2e-05,
|
| 226 |
-
"loss": 0.
|
| 227 |
"step": 320
|
| 228 |
},
|
| 229 |
{
|
| 230 |
"epoch": 6.6,
|
| 231 |
"learning_rate": 6.800000000000001e-05,
|
| 232 |
-
"loss": 0.
|
| 233 |
"step": 330
|
| 234 |
},
|
| 235 |
{
|
| 236 |
"epoch": 6.8,
|
| 237 |
"learning_rate": 6.400000000000001e-05,
|
| 238 |
-
"loss": 0.
|
| 239 |
"step": 340
|
| 240 |
},
|
| 241 |
{
|
| 242 |
"epoch": 7.0,
|
| 243 |
"learning_rate": 6e-05,
|
| 244 |
-
"loss": 0.
|
| 245 |
"step": 350
|
| 246 |
},
|
| 247 |
{
|
| 248 |
"epoch": 7.2,
|
| 249 |
"learning_rate": 5.6000000000000006e-05,
|
| 250 |
-
"loss": 0.
|
| 251 |
"step": 360
|
| 252 |
},
|
| 253 |
{
|
| 254 |
"epoch": 7.4,
|
| 255 |
"learning_rate": 5.2000000000000004e-05,
|
| 256 |
-
"loss": 0.
|
| 257 |
"step": 370
|
| 258 |
},
|
| 259 |
{
|
| 260 |
"epoch": 7.6,
|
| 261 |
"learning_rate": 4.8e-05,
|
| 262 |
-
"loss": 0.
|
| 263 |
"step": 380
|
| 264 |
},
|
| 265 |
{
|
| 266 |
"epoch": 7.8,
|
| 267 |
"learning_rate": 4.4000000000000006e-05,
|
| 268 |
-
"loss": 0.
|
| 269 |
"step": 390
|
| 270 |
},
|
| 271 |
{
|
| 272 |
"epoch": 8.0,
|
| 273 |
"learning_rate": 4e-05,
|
| 274 |
-
"loss": 0.
|
| 275 |
"step": 400
|
| 276 |
},
|
| 277 |
{
|
| 278 |
"epoch": 8.0,
|
| 279 |
-
"eval_accuracy": 0.
|
| 280 |
-
"
|
| 281 |
-
"
|
| 282 |
-
"
|
| 283 |
-
"
|
|
|
|
| 284 |
"step": 400
|
| 285 |
},
|
| 286 |
{
|
| 287 |
"epoch": 8.2,
|
| 288 |
"learning_rate": 3.6e-05,
|
| 289 |
-
"loss": 0.
|
| 290 |
"step": 410
|
| 291 |
},
|
| 292 |
{
|
| 293 |
"epoch": 8.4,
|
| 294 |
"learning_rate": 3.2000000000000005e-05,
|
| 295 |
-
"loss": 0.
|
| 296 |
"step": 420
|
| 297 |
},
|
| 298 |
{
|
| 299 |
"epoch": 8.6,
|
| 300 |
"learning_rate": 2.8000000000000003e-05,
|
| 301 |
-
"loss": 0.
|
| 302 |
"step": 430
|
| 303 |
},
|
| 304 |
{
|
| 305 |
"epoch": 8.8,
|
| 306 |
"learning_rate": 2.4e-05,
|
| 307 |
-
"loss": 0.
|
| 308 |
"step": 440
|
| 309 |
},
|
| 310 |
{
|
| 311 |
"epoch": 9.0,
|
| 312 |
"learning_rate": 2e-05,
|
| 313 |
-
"loss": 0.
|
| 314 |
"step": 450
|
| 315 |
},
|
| 316 |
{
|
| 317 |
"epoch": 9.2,
|
| 318 |
"learning_rate": 1.6000000000000003e-05,
|
| 319 |
-
"loss": 0.
|
| 320 |
"step": 460
|
| 321 |
},
|
| 322 |
{
|
| 323 |
"epoch": 9.4,
|
| 324 |
"learning_rate": 1.2e-05,
|
| 325 |
-
"loss": 0.
|
| 326 |
"step": 470
|
| 327 |
},
|
| 328 |
{
|
| 329 |
"epoch": 9.6,
|
| 330 |
"learning_rate": 8.000000000000001e-06,
|
| 331 |
-
"loss": 0.
|
| 332 |
"step": 480
|
| 333 |
},
|
| 334 |
{
|
| 335 |
"epoch": 9.8,
|
| 336 |
"learning_rate": 4.000000000000001e-06,
|
| 337 |
-
"loss": 0.
|
| 338 |
"step": 490
|
| 339 |
},
|
| 340 |
{
|
| 341 |
"epoch": 10.0,
|
| 342 |
"learning_rate": 0.0,
|
| 343 |
-
"loss": 0.
|
| 344 |
"step": 500
|
| 345 |
},
|
| 346 |
{
|
| 347 |
"epoch": 10.0,
|
| 348 |
-
"eval_accuracy": 0.
|
| 349 |
-
"
|
| 350 |
-
"
|
| 351 |
-
"
|
| 352 |
-
"
|
|
|
|
| 353 |
"step": 500
|
| 354 |
},
|
| 355 |
{
|
| 356 |
"epoch": 10.0,
|
| 357 |
"step": 500,
|
| 358 |
"total_flos": 6.129616378514227e+17,
|
| 359 |
-
"train_loss": 0.
|
| 360 |
-
"train_runtime":
|
| 361 |
-
"train_samples_per_second":
|
| 362 |
-
"train_steps_per_second":
|
| 363 |
}
|
| 364 |
],
|
| 365 |
"max_steps": 500,
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.2074955552816391,
|
| 3 |
+
"best_model_checkpoint": "./vit-accident-image/checkpoint-200",
|
| 4 |
"epoch": 10.0,
|
| 5 |
"global_step": 500,
|
| 6 |
"is_hyper_param_search": false,
|
|
|
|
| 10 |
{
|
| 11 |
"epoch": 0.2,
|
| 12 |
"learning_rate": 0.000196,
|
| 13 |
+
"loss": 0.6842,
|
| 14 |
"step": 10
|
| 15 |
},
|
| 16 |
{
|
| 17 |
"epoch": 0.4,
|
| 18 |
"learning_rate": 0.000192,
|
| 19 |
+
"loss": 0.6515,
|
| 20 |
"step": 20
|
| 21 |
},
|
| 22 |
{
|
| 23 |
"epoch": 0.6,
|
| 24 |
"learning_rate": 0.000188,
|
| 25 |
+
"loss": 0.5938,
|
| 26 |
"step": 30
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"epoch": 0.8,
|
| 30 |
"learning_rate": 0.00018400000000000003,
|
| 31 |
+
"loss": 0.5845,
|
| 32 |
"step": 40
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"epoch": 1.0,
|
| 36 |
"learning_rate": 0.00018,
|
| 37 |
+
"loss": 0.5319,
|
| 38 |
"step": 50
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 1.2,
|
| 42 |
"learning_rate": 0.00017600000000000002,
|
| 43 |
+
"loss": 0.2824,
|
| 44 |
"step": 60
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 1.4,
|
| 48 |
"learning_rate": 0.000172,
|
| 49 |
+
"loss": 0.2948,
|
| 50 |
"step": 70
|
| 51 |
},
|
| 52 |
{
|
| 53 |
"epoch": 1.6,
|
| 54 |
"learning_rate": 0.000168,
|
| 55 |
+
"loss": 0.6173,
|
| 56 |
"step": 80
|
| 57 |
},
|
| 58 |
{
|
| 59 |
"epoch": 1.8,
|
| 60 |
"learning_rate": 0.000164,
|
| 61 |
+
"loss": 0.2863,
|
| 62 |
"step": 90
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 2.0,
|
| 66 |
"learning_rate": 0.00016,
|
| 67 |
+
"loss": 0.3546,
|
| 68 |
"step": 100
|
| 69 |
},
|
| 70 |
{
|
| 71 |
"epoch": 2.0,
|
| 72 |
+
"eval_accuracy": 0.9183673469387755,
|
| 73 |
+
"eval_f1": 0.918435459290099,
|
| 74 |
+
"eval_loss": 0.23273873329162598,
|
| 75 |
+
"eval_runtime": 2.7024,
|
| 76 |
+
"eval_samples_per_second": 36.264,
|
| 77 |
+
"eval_steps_per_second": 4.81,
|
| 78 |
"step": 100
|
| 79 |
},
|
| 80 |
{
|
| 81 |
"epoch": 2.2,
|
| 82 |
"learning_rate": 0.00015600000000000002,
|
| 83 |
+
"loss": 0.1067,
|
| 84 |
"step": 110
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"epoch": 2.4,
|
| 88 |
"learning_rate": 0.000152,
|
| 89 |
+
"loss": 0.2548,
|
| 90 |
"step": 120
|
| 91 |
},
|
| 92 |
{
|
| 93 |
"epoch": 2.6,
|
| 94 |
"learning_rate": 0.000148,
|
| 95 |
+
"loss": 0.1812,
|
| 96 |
"step": 130
|
| 97 |
},
|
| 98 |
{
|
| 99 |
"epoch": 2.8,
|
| 100 |
"learning_rate": 0.000144,
|
| 101 |
+
"loss": 0.2835,
|
| 102 |
"step": 140
|
| 103 |
},
|
| 104 |
{
|
| 105 |
"epoch": 3.0,
|
| 106 |
"learning_rate": 0.00014,
|
| 107 |
+
"loss": 0.2162,
|
| 108 |
"step": 150
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 3.2,
|
| 112 |
"learning_rate": 0.00013600000000000003,
|
| 113 |
+
"loss": 0.1976,
|
| 114 |
"step": 160
|
| 115 |
},
|
| 116 |
{
|
| 117 |
"epoch": 3.4,
|
| 118 |
"learning_rate": 0.000132,
|
| 119 |
+
"loss": 0.1068,
|
| 120 |
"step": 170
|
| 121 |
},
|
| 122 |
{
|
| 123 |
"epoch": 3.6,
|
| 124 |
"learning_rate": 0.00012800000000000002,
|
| 125 |
+
"loss": 0.0842,
|
| 126 |
"step": 180
|
| 127 |
},
|
| 128 |
{
|
| 129 |
"epoch": 3.8,
|
| 130 |
"learning_rate": 0.000124,
|
| 131 |
+
"loss": 0.168,
|
| 132 |
"step": 190
|
| 133 |
},
|
| 134 |
{
|
| 135 |
"epoch": 4.0,
|
| 136 |
"learning_rate": 0.00012,
|
| 137 |
+
"loss": 0.1654,
|
| 138 |
"step": 200
|
| 139 |
},
|
| 140 |
{
|
| 141 |
"epoch": 4.0,
|
| 142 |
+
"eval_accuracy": 0.9387755102040817,
|
| 143 |
+
"eval_f1": 0.9387755102040817,
|
| 144 |
+
"eval_loss": 0.2074955552816391,
|
| 145 |
+
"eval_runtime": 2.2462,
|
| 146 |
+
"eval_samples_per_second": 43.629,
|
| 147 |
+
"eval_steps_per_second": 5.787,
|
| 148 |
"step": 200
|
| 149 |
},
|
| 150 |
{
|
| 151 |
"epoch": 4.2,
|
| 152 |
"learning_rate": 0.000116,
|
| 153 |
+
"loss": 0.0843,
|
| 154 |
"step": 210
|
| 155 |
},
|
| 156 |
{
|
| 157 |
"epoch": 4.4,
|
| 158 |
"learning_rate": 0.00011200000000000001,
|
| 159 |
+
"loss": 0.032,
|
| 160 |
"step": 220
|
| 161 |
},
|
| 162 |
{
|
| 163 |
"epoch": 4.6,
|
| 164 |
"learning_rate": 0.00010800000000000001,
|
| 165 |
+
"loss": 0.1275,
|
| 166 |
"step": 230
|
| 167 |
},
|
| 168 |
{
|
| 169 |
"epoch": 4.8,
|
| 170 |
"learning_rate": 0.00010400000000000001,
|
| 171 |
+
"loss": 0.073,
|
| 172 |
"step": 240
|
| 173 |
},
|
| 174 |
{
|
| 175 |
"epoch": 5.0,
|
| 176 |
"learning_rate": 0.0001,
|
| 177 |
+
"loss": 0.1203,
|
| 178 |
"step": 250
|
| 179 |
},
|
| 180 |
{
|
| 181 |
"epoch": 5.2,
|
| 182 |
"learning_rate": 9.6e-05,
|
| 183 |
+
"loss": 0.0723,
|
| 184 |
"step": 260
|
| 185 |
},
|
| 186 |
{
|
| 187 |
"epoch": 5.4,
|
| 188 |
"learning_rate": 9.200000000000001e-05,
|
| 189 |
+
"loss": 0.0184,
|
| 190 |
"step": 270
|
| 191 |
},
|
| 192 |
{
|
| 193 |
"epoch": 5.6,
|
| 194 |
"learning_rate": 8.800000000000001e-05,
|
| 195 |
+
"loss": 0.0633,
|
| 196 |
"step": 280
|
| 197 |
},
|
| 198 |
{
|
| 199 |
"epoch": 5.8,
|
| 200 |
"learning_rate": 8.4e-05,
|
| 201 |
+
"loss": 0.0989,
|
| 202 |
"step": 290
|
| 203 |
},
|
| 204 |
{
|
| 205 |
"epoch": 6.0,
|
| 206 |
"learning_rate": 8e-05,
|
| 207 |
+
"loss": 0.0146,
|
| 208 |
"step": 300
|
| 209 |
},
|
| 210 |
{
|
| 211 |
"epoch": 6.0,
|
| 212 |
+
"eval_accuracy": 0.9387755102040817,
|
| 213 |
+
"eval_f1": 0.9386728276216146,
|
| 214 |
+
"eval_loss": 0.24968579411506653,
|
| 215 |
+
"eval_runtime": 2.3881,
|
| 216 |
+
"eval_samples_per_second": 41.036,
|
| 217 |
+
"eval_steps_per_second": 5.444,
|
| 218 |
"step": 300
|
| 219 |
},
|
| 220 |
{
|
| 221 |
"epoch": 6.2,
|
| 222 |
"learning_rate": 7.6e-05,
|
| 223 |
+
"loss": 0.0295,
|
| 224 |
"step": 310
|
| 225 |
},
|
| 226 |
{
|
| 227 |
"epoch": 6.4,
|
| 228 |
"learning_rate": 7.2e-05,
|
| 229 |
+
"loss": 0.0698,
|
| 230 |
"step": 320
|
| 231 |
},
|
| 232 |
{
|
| 233 |
"epoch": 6.6,
|
| 234 |
"learning_rate": 6.800000000000001e-05,
|
| 235 |
+
"loss": 0.0289,
|
| 236 |
"step": 330
|
| 237 |
},
|
| 238 |
{
|
| 239 |
"epoch": 6.8,
|
| 240 |
"learning_rate": 6.400000000000001e-05,
|
| 241 |
+
"loss": 0.0336,
|
| 242 |
"step": 340
|
| 243 |
},
|
| 244 |
{
|
| 245 |
"epoch": 7.0,
|
| 246 |
"learning_rate": 6e-05,
|
| 247 |
+
"loss": 0.0384,
|
| 248 |
"step": 350
|
| 249 |
},
|
| 250 |
{
|
| 251 |
"epoch": 7.2,
|
| 252 |
"learning_rate": 5.6000000000000006e-05,
|
| 253 |
+
"loss": 0.0344,
|
| 254 |
"step": 360
|
| 255 |
},
|
| 256 |
{
|
| 257 |
"epoch": 7.4,
|
| 258 |
"learning_rate": 5.2000000000000004e-05,
|
| 259 |
+
"loss": 0.0085,
|
| 260 |
"step": 370
|
| 261 |
},
|
| 262 |
{
|
| 263 |
"epoch": 7.6,
|
| 264 |
"learning_rate": 4.8e-05,
|
| 265 |
+
"loss": 0.0145,
|
| 266 |
"step": 380
|
| 267 |
},
|
| 268 |
{
|
| 269 |
"epoch": 7.8,
|
| 270 |
"learning_rate": 4.4000000000000006e-05,
|
| 271 |
+
"loss": 0.0064,
|
| 272 |
"step": 390
|
| 273 |
},
|
| 274 |
{
|
| 275 |
"epoch": 8.0,
|
| 276 |
"learning_rate": 4e-05,
|
| 277 |
+
"loss": 0.0317,
|
| 278 |
"step": 400
|
| 279 |
},
|
| 280 |
{
|
| 281 |
"epoch": 8.0,
|
| 282 |
+
"eval_accuracy": 0.9285714285714286,
|
| 283 |
+
"eval_f1": 0.9285190999476715,
|
| 284 |
+
"eval_loss": 0.21786272525787354,
|
| 285 |
+
"eval_runtime": 3.0699,
|
| 286 |
+
"eval_samples_per_second": 31.922,
|
| 287 |
+
"eval_steps_per_second": 4.235,
|
| 288 |
"step": 400
|
| 289 |
},
|
| 290 |
{
|
| 291 |
"epoch": 8.2,
|
| 292 |
"learning_rate": 3.6e-05,
|
| 293 |
+
"loss": 0.0081,
|
| 294 |
"step": 410
|
| 295 |
},
|
| 296 |
{
|
| 297 |
"epoch": 8.4,
|
| 298 |
"learning_rate": 3.2000000000000005e-05,
|
| 299 |
+
"loss": 0.0057,
|
| 300 |
"step": 420
|
| 301 |
},
|
| 302 |
{
|
| 303 |
"epoch": 8.6,
|
| 304 |
"learning_rate": 2.8000000000000003e-05,
|
| 305 |
+
"loss": 0.0364,
|
| 306 |
"step": 430
|
| 307 |
},
|
| 308 |
{
|
| 309 |
"epoch": 8.8,
|
| 310 |
"learning_rate": 2.4e-05,
|
| 311 |
+
"loss": 0.0062,
|
| 312 |
"step": 440
|
| 313 |
},
|
| 314 |
{
|
| 315 |
"epoch": 9.0,
|
| 316 |
"learning_rate": 2e-05,
|
| 317 |
+
"loss": 0.025,
|
| 318 |
"step": 450
|
| 319 |
},
|
| 320 |
{
|
| 321 |
"epoch": 9.2,
|
| 322 |
"learning_rate": 1.6000000000000003e-05,
|
| 323 |
+
"loss": 0.0087,
|
| 324 |
"step": 460
|
| 325 |
},
|
| 326 |
{
|
| 327 |
"epoch": 9.4,
|
| 328 |
"learning_rate": 1.2e-05,
|
| 329 |
+
"loss": 0.0136,
|
| 330 |
"step": 470
|
| 331 |
},
|
| 332 |
{
|
| 333 |
"epoch": 9.6,
|
| 334 |
"learning_rate": 8.000000000000001e-06,
|
| 335 |
+
"loss": 0.0228,
|
| 336 |
"step": 480
|
| 337 |
},
|
| 338 |
{
|
| 339 |
"epoch": 9.8,
|
| 340 |
"learning_rate": 4.000000000000001e-06,
|
| 341 |
+
"loss": 0.005,
|
| 342 |
"step": 490
|
| 343 |
},
|
| 344 |
{
|
| 345 |
"epoch": 10.0,
|
| 346 |
"learning_rate": 0.0,
|
| 347 |
+
"loss": 0.0192,
|
| 348 |
"step": 500
|
| 349 |
},
|
| 350 |
{
|
| 351 |
"epoch": 10.0,
|
| 352 |
+
"eval_accuracy": 0.9285714285714286,
|
| 353 |
+
"eval_f1": 0.9286087125109987,
|
| 354 |
+
"eval_loss": 0.2254808396100998,
|
| 355 |
+
"eval_runtime": 2.2207,
|
| 356 |
+
"eval_samples_per_second": 44.131,
|
| 357 |
+
"eval_steps_per_second": 5.854,
|
| 358 |
"step": 500
|
| 359 |
},
|
| 360 |
{
|
| 361 |
"epoch": 10.0,
|
| 362 |
"step": 500,
|
| 363 |
"total_flos": 6.129616378514227e+17,
|
| 364 |
+
"train_loss": 0.15593594065308572,
|
| 365 |
+
"train_runtime": 520.5132,
|
| 366 |
+
"train_samples_per_second": 15.197,
|
| 367 |
+
"train_steps_per_second": 0.961
|
| 368 |
}
|
| 369 |
],
|
| 370 |
"max_steps": 500,
|