End of training
Browse files- README.md +1 -1
- all_results.json +8 -8
- eval_results.json +4 -4
- runs/Dec02_14-46-00_DESKTOP-SKBE9FB/events.out.tfevents.1733172644.DESKTOP-SKBE9FB.11608.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +172 -172
README.md
CHANGED
|
@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 32 |
|
| 33 |
This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
-
- Loss: 1.
|
| 36 |
- Accuracy: 0.4565
|
| 37 |
|
| 38 |
## Model description
|
|
|
|
| 32 |
|
| 33 |
This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
+
- Loss: 1.2148
|
| 36 |
- Accuracy: 0.4565
|
| 37 |
|
| 38 |
## Model description
|
all_results.json
CHANGED
|
@@ -1,12 +1,12 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 34.29,
|
| 3 |
"eval_accuracy": 0.45652173913043476,
|
| 4 |
-
"eval_loss": 1.
|
| 5 |
-
"eval_runtime": 0.
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
-
"train_loss": 1.
|
| 9 |
-
"train_runtime": 205.
|
| 10 |
-
"train_samples_per_second": 41.
|
| 11 |
-
"train_steps_per_second": 0.
|
| 12 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 34.29,
|
| 3 |
"eval_accuracy": 0.45652173913043476,
|
| 4 |
+
"eval_loss": 1.2148082256317139,
|
| 5 |
+
"eval_runtime": 0.9303,
|
| 6 |
+
"eval_samples_per_second": 49.446,
|
| 7 |
+
"eval_steps_per_second": 3.225,
|
| 8 |
+
"train_loss": 1.5571933190027873,
|
| 9 |
+
"train_runtime": 205.4869,
|
| 10 |
+
"train_samples_per_second": 41.462,
|
| 11 |
+
"train_steps_per_second": 0.584
|
| 12 |
}
|
eval_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 34.29,
|
| 3 |
"eval_accuracy": 0.45652173913043476,
|
| 4 |
-
"eval_loss": 1.
|
| 5 |
-
"eval_runtime": 0.
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 34.29,
|
| 3 |
"eval_accuracy": 0.45652173913043476,
|
| 4 |
+
"eval_loss": 1.2148082256317139,
|
| 5 |
+
"eval_runtime": 0.9303,
|
| 6 |
+
"eval_samples_per_second": 49.446,
|
| 7 |
+
"eval_steps_per_second": 3.225
|
| 8 |
}
|
runs/Dec02_14-46-00_DESKTOP-SKBE9FB/events.out.tfevents.1733172644.DESKTOP-SKBE9FB.11608.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:82577dbb04ab81a606419509a189f06216ed5835d88231e22a1d1657ec7f940a
|
| 3 |
+
size 405
|
train_results.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 34.29,
|
| 3 |
-
"train_loss": 1.
|
| 4 |
-
"train_runtime": 205.
|
| 5 |
-
"train_samples_per_second": 41.
|
| 6 |
-
"train_steps_per_second": 0.
|
| 7 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 34.29,
|
| 3 |
+
"train_loss": 1.5571933190027873,
|
| 4 |
+
"train_runtime": 205.4869,
|
| 5 |
+
"train_samples_per_second": 41.462,
|
| 6 |
+
"train_steps_per_second": 0.584
|
| 7 |
}
|
trainer_state.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": 0.45652173913043476,
|
| 3 |
-
"best_model_checkpoint": "swinv2-tiny-patch4-window8-256-DMAE-ex\\checkpoint-
|
| 4 |
"epoch": 34.285714285714285,
|
| 5 |
"eval_steps": 500,
|
| 6 |
"global_step": 120,
|
|
@@ -11,398 +11,398 @@
|
|
| 11 |
{
|
| 12 |
"epoch": 0.86,
|
| 13 |
"eval_accuracy": 0.10869565217391304,
|
| 14 |
-
"eval_loss": 6.
|
| 15 |
-
"eval_runtime": 0.
|
| 16 |
-
"eval_samples_per_second":
|
| 17 |
-
"eval_steps_per_second":
|
| 18 |
"step": 3
|
| 19 |
},
|
| 20 |
{
|
| 21 |
"epoch": 2.0,
|
| 22 |
-
"eval_accuracy": 0.
|
| 23 |
-
"eval_loss": 1.
|
| 24 |
-
"eval_runtime": 0.
|
| 25 |
-
"eval_samples_per_second":
|
| 26 |
-
"eval_steps_per_second": 3.
|
| 27 |
"step": 7
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"epoch": 2.86,
|
| 31 |
-
"learning_rate": 0.
|
| 32 |
-
"loss": 4.
|
| 33 |
"step": 10
|
| 34 |
},
|
| 35 |
{
|
| 36 |
"epoch": 2.86,
|
| 37 |
-
"eval_accuracy": 0.
|
| 38 |
-
"eval_loss": 2.
|
| 39 |
-
"eval_runtime": 0.
|
| 40 |
-
"eval_samples_per_second":
|
| 41 |
-
"eval_steps_per_second": 3.
|
| 42 |
"step": 10
|
| 43 |
},
|
| 44 |
{
|
| 45 |
"epoch": 4.0,
|
| 46 |
-
"eval_accuracy": 0.
|
| 47 |
-
"eval_loss": 1.
|
| 48 |
-
"eval_runtime": 0.
|
| 49 |
-
"eval_samples_per_second": 61.
|
| 50 |
-
"eval_steps_per_second": 4.
|
| 51 |
"step": 14
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 4.86,
|
| 55 |
"eval_accuracy": 0.45652173913043476,
|
| 56 |
-
"eval_loss": 1.
|
| 57 |
-
"eval_runtime": 0.
|
| 58 |
-
"eval_samples_per_second":
|
| 59 |
-
"eval_steps_per_second":
|
| 60 |
"step": 17
|
| 61 |
},
|
| 62 |
{
|
| 63 |
"epoch": 5.71,
|
| 64 |
-
"learning_rate": 0.
|
| 65 |
-
"loss":
|
| 66 |
"step": 20
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 6.0,
|
| 70 |
-
"eval_accuracy": 0.
|
| 71 |
-
"eval_loss": 1.
|
| 72 |
-
"eval_runtime": 0.
|
| 73 |
-
"eval_samples_per_second":
|
| 74 |
-
"eval_steps_per_second": 3.
|
| 75 |
"step": 21
|
| 76 |
},
|
| 77 |
{
|
| 78 |
"epoch": 6.86,
|
| 79 |
"eval_accuracy": 0.32608695652173914,
|
| 80 |
-
"eval_loss": 1.
|
| 81 |
-
"eval_runtime": 0.
|
| 82 |
-
"eval_samples_per_second":
|
| 83 |
-
"eval_steps_per_second":
|
| 84 |
"step": 24
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"epoch": 8.0,
|
| 88 |
"eval_accuracy": 0.45652173913043476,
|
| 89 |
-
"eval_loss": 1.
|
| 90 |
-
"eval_runtime": 0.
|
| 91 |
-
"eval_samples_per_second":
|
| 92 |
-
"eval_steps_per_second": 3.
|
| 93 |
"step": 28
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"epoch": 8.57,
|
| 97 |
-
"learning_rate": 0.
|
| 98 |
-
"loss": 1.
|
| 99 |
"step": 30
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 8.86,
|
| 103 |
"eval_accuracy": 0.32608695652173914,
|
| 104 |
-
"eval_loss": 1.
|
| 105 |
-
"eval_runtime": 0.
|
| 106 |
-
"eval_samples_per_second":
|
| 107 |
-
"eval_steps_per_second": 3.
|
| 108 |
"step": 31
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 10.0,
|
| 112 |
"eval_accuracy": 0.45652173913043476,
|
| 113 |
-
"eval_loss": 1.
|
| 114 |
-
"eval_runtime": 0.
|
| 115 |
-
"eval_samples_per_second": 61.
|
| 116 |
-
"eval_steps_per_second": 4.
|
| 117 |
"step": 35
|
| 118 |
},
|
| 119 |
{
|
| 120 |
"epoch": 10.86,
|
| 121 |
"eval_accuracy": 0.45652173913043476,
|
| 122 |
-
"eval_loss": 1.
|
| 123 |
-
"eval_runtime": 0.
|
| 124 |
-
"eval_samples_per_second":
|
| 125 |
-
"eval_steps_per_second": 3.
|
| 126 |
"step": 38
|
| 127 |
},
|
| 128 |
{
|
| 129 |
"epoch": 11.43,
|
| 130 |
-
"learning_rate": 0.
|
| 131 |
-
"loss": 1.
|
| 132 |
"step": 40
|
| 133 |
},
|
| 134 |
{
|
| 135 |
"epoch": 12.0,
|
| 136 |
"eval_accuracy": 0.45652173913043476,
|
| 137 |
-
"eval_loss": 1.
|
| 138 |
-
"eval_runtime": 0.
|
| 139 |
-
"eval_samples_per_second":
|
| 140 |
-
"eval_steps_per_second":
|
| 141 |
"step": 42
|
| 142 |
},
|
| 143 |
{
|
| 144 |
"epoch": 12.86,
|
| 145 |
"eval_accuracy": 0.45652173913043476,
|
| 146 |
-
"eval_loss": 1.
|
| 147 |
-
"eval_runtime": 0.
|
| 148 |
-
"eval_samples_per_second":
|
| 149 |
-
"eval_steps_per_second": 3.
|
| 150 |
"step": 45
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 14.0,
|
| 154 |
"eval_accuracy": 0.45652173913043476,
|
| 155 |
-
"eval_loss": 1.
|
| 156 |
-
"eval_runtime": 0.
|
| 157 |
-
"eval_samples_per_second":
|
| 158 |
-
"eval_steps_per_second": 3.
|
| 159 |
"step": 49
|
| 160 |
},
|
| 161 |
{
|
| 162 |
"epoch": 14.29,
|
| 163 |
-
"learning_rate": 0.
|
| 164 |
-
"loss": 1.
|
| 165 |
"step": 50
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 14.86,
|
| 169 |
"eval_accuracy": 0.45652173913043476,
|
| 170 |
-
"eval_loss": 1.
|
| 171 |
-
"eval_runtime": 0.
|
| 172 |
-
"eval_samples_per_second":
|
| 173 |
-
"eval_steps_per_second": 3.
|
| 174 |
"step": 52
|
| 175 |
},
|
| 176 |
{
|
| 177 |
"epoch": 16.0,
|
| 178 |
"eval_accuracy": 0.45652173913043476,
|
| 179 |
-
"eval_loss": 1.
|
| 180 |
-
"eval_runtime": 0.
|
| 181 |
-
"eval_samples_per_second":
|
| 182 |
-
"eval_steps_per_second": 3.
|
| 183 |
"step": 56
|
| 184 |
},
|
| 185 |
{
|
| 186 |
"epoch": 16.86,
|
| 187 |
"eval_accuracy": 0.45652173913043476,
|
| 188 |
-
"eval_loss": 1.
|
| 189 |
-
"eval_runtime": 0.
|
| 190 |
-
"eval_samples_per_second": 59.
|
| 191 |
-
"eval_steps_per_second": 3.
|
| 192 |
"step": 59
|
| 193 |
},
|
| 194 |
{
|
| 195 |
"epoch": 17.14,
|
| 196 |
-
"learning_rate": 0.
|
| 197 |
-
"loss": 1.
|
| 198 |
"step": 60
|
| 199 |
},
|
| 200 |
{
|
| 201 |
"epoch": 18.0,
|
| 202 |
"eval_accuracy": 0.45652173913043476,
|
| 203 |
-
"eval_loss": 1.
|
| 204 |
-
"eval_runtime": 0.
|
| 205 |
-
"eval_samples_per_second":
|
| 206 |
-
"eval_steps_per_second": 3.
|
| 207 |
"step": 63
|
| 208 |
},
|
| 209 |
{
|
| 210 |
"epoch": 18.86,
|
| 211 |
"eval_accuracy": 0.45652173913043476,
|
| 212 |
-
"eval_loss": 1.
|
| 213 |
-
"eval_runtime": 0.
|
| 214 |
-
"eval_samples_per_second":
|
| 215 |
-
"eval_steps_per_second": 3.
|
| 216 |
"step": 66
|
| 217 |
},
|
| 218 |
{
|
| 219 |
"epoch": 20.0,
|
| 220 |
-
"learning_rate": 0.
|
| 221 |
-
"loss": 1.
|
| 222 |
"step": 70
|
| 223 |
},
|
| 224 |
{
|
| 225 |
"epoch": 20.0,
|
| 226 |
"eval_accuracy": 0.45652173913043476,
|
| 227 |
-
"eval_loss": 1.
|
| 228 |
-
"eval_runtime": 0.
|
| 229 |
-
"eval_samples_per_second":
|
| 230 |
-
"eval_steps_per_second":
|
| 231 |
"step": 70
|
| 232 |
},
|
| 233 |
{
|
| 234 |
"epoch": 20.86,
|
| 235 |
"eval_accuracy": 0.32608695652173914,
|
| 236 |
-
"eval_loss": 1.
|
| 237 |
-
"eval_runtime": 0.
|
| 238 |
-
"eval_samples_per_second": 57.
|
| 239 |
-
"eval_steps_per_second": 3.
|
| 240 |
"step": 73
|
| 241 |
},
|
| 242 |
{
|
| 243 |
"epoch": 22.0,
|
| 244 |
"eval_accuracy": 0.45652173913043476,
|
| 245 |
-
"eval_loss": 1.
|
| 246 |
-
"eval_runtime": 0.
|
| 247 |
-
"eval_samples_per_second":
|
| 248 |
-
"eval_steps_per_second": 3.
|
| 249 |
"step": 77
|
| 250 |
},
|
| 251 |
{
|
| 252 |
"epoch": 22.86,
|
| 253 |
-
"learning_rate": 0.
|
| 254 |
-
"loss": 1.
|
| 255 |
"step": 80
|
| 256 |
},
|
| 257 |
{
|
| 258 |
"epoch": 22.86,
|
| 259 |
"eval_accuracy": 0.45652173913043476,
|
| 260 |
-
"eval_loss": 1.
|
| 261 |
-
"eval_runtime": 0.
|
| 262 |
-
"eval_samples_per_second":
|
| 263 |
-
"eval_steps_per_second": 3.
|
| 264 |
"step": 80
|
| 265 |
},
|
| 266 |
{
|
| 267 |
"epoch": 24.0,
|
| 268 |
"eval_accuracy": 0.45652173913043476,
|
| 269 |
-
"eval_loss": 1.
|
| 270 |
-
"eval_runtime": 0.
|
| 271 |
-
"eval_samples_per_second":
|
| 272 |
-
"eval_steps_per_second": 3.
|
| 273 |
"step": 84
|
| 274 |
},
|
| 275 |
{
|
| 276 |
"epoch": 24.86,
|
| 277 |
"eval_accuracy": 0.45652173913043476,
|
| 278 |
-
"eval_loss": 1.
|
| 279 |
-
"eval_runtime": 0.
|
| 280 |
-
"eval_samples_per_second":
|
| 281 |
-
"eval_steps_per_second": 3.
|
| 282 |
"step": 87
|
| 283 |
},
|
| 284 |
{
|
| 285 |
"epoch": 25.71,
|
| 286 |
-
"learning_rate": 0.
|
| 287 |
-
"loss": 1.
|
| 288 |
"step": 90
|
| 289 |
},
|
| 290 |
{
|
| 291 |
"epoch": 26.0,
|
| 292 |
"eval_accuracy": 0.45652173913043476,
|
| 293 |
-
"eval_loss": 1.
|
| 294 |
-
"eval_runtime": 0.
|
| 295 |
-
"eval_samples_per_second":
|
| 296 |
-
"eval_steps_per_second": 3.
|
| 297 |
"step": 91
|
| 298 |
},
|
| 299 |
{
|
| 300 |
"epoch": 26.86,
|
| 301 |
"eval_accuracy": 0.45652173913043476,
|
| 302 |
-
"eval_loss": 1.
|
| 303 |
-
"eval_runtime": 0.
|
| 304 |
-
"eval_samples_per_second":
|
| 305 |
-
"eval_steps_per_second":
|
| 306 |
"step": 94
|
| 307 |
},
|
| 308 |
{
|
| 309 |
"epoch": 28.0,
|
| 310 |
"eval_accuracy": 0.45652173913043476,
|
| 311 |
-
"eval_loss": 1.
|
| 312 |
-
"eval_runtime": 0.
|
| 313 |
-
"eval_samples_per_second":
|
| 314 |
-
"eval_steps_per_second": 3.
|
| 315 |
"step": 98
|
| 316 |
},
|
| 317 |
{
|
| 318 |
"epoch": 28.57,
|
| 319 |
-
"learning_rate": 0.
|
| 320 |
-
"loss": 1.
|
| 321 |
"step": 100
|
| 322 |
},
|
| 323 |
{
|
| 324 |
"epoch": 28.86,
|
| 325 |
"eval_accuracy": 0.45652173913043476,
|
| 326 |
-
"eval_loss": 1.
|
| 327 |
-
"eval_runtime": 0.
|
| 328 |
-
"eval_samples_per_second":
|
| 329 |
-
"eval_steps_per_second": 3.
|
| 330 |
"step": 101
|
| 331 |
},
|
| 332 |
{
|
| 333 |
"epoch": 30.0,
|
| 334 |
"eval_accuracy": 0.45652173913043476,
|
| 335 |
-
"eval_loss": 1.
|
| 336 |
-
"eval_runtime": 0.
|
| 337 |
-
"eval_samples_per_second":
|
| 338 |
-
"eval_steps_per_second": 3.
|
| 339 |
"step": 105
|
| 340 |
},
|
| 341 |
{
|
| 342 |
"epoch": 30.86,
|
| 343 |
"eval_accuracy": 0.45652173913043476,
|
| 344 |
-
"eval_loss": 1.
|
| 345 |
-
"eval_runtime": 0.
|
| 346 |
-
"eval_samples_per_second":
|
| 347 |
-
"eval_steps_per_second": 3.
|
| 348 |
"step": 108
|
| 349 |
},
|
| 350 |
{
|
| 351 |
"epoch": 31.43,
|
| 352 |
-
"learning_rate": 0.
|
| 353 |
-
"loss": 1.
|
| 354 |
"step": 110
|
| 355 |
},
|
| 356 |
{
|
| 357 |
"epoch": 32.0,
|
| 358 |
"eval_accuracy": 0.45652173913043476,
|
| 359 |
-
"eval_loss": 1.
|
| 360 |
-
"eval_runtime":
|
| 361 |
-
"eval_samples_per_second":
|
| 362 |
-
"eval_steps_per_second":
|
| 363 |
"step": 112
|
| 364 |
},
|
| 365 |
{
|
| 366 |
"epoch": 32.86,
|
| 367 |
"eval_accuracy": 0.45652173913043476,
|
| 368 |
-
"eval_loss": 1.
|
| 369 |
-
"eval_runtime": 0.
|
| 370 |
-
"eval_samples_per_second":
|
| 371 |
-
"eval_steps_per_second": 3.
|
| 372 |
"step": 115
|
| 373 |
},
|
| 374 |
{
|
| 375 |
"epoch": 34.0,
|
| 376 |
"eval_accuracy": 0.45652173913043476,
|
| 377 |
-
"eval_loss": 1.
|
| 378 |
-
"eval_runtime": 0.
|
| 379 |
-
"eval_samples_per_second":
|
| 380 |
-
"eval_steps_per_second":
|
| 381 |
"step": 119
|
| 382 |
},
|
| 383 |
{
|
| 384 |
"epoch": 34.29,
|
| 385 |
"learning_rate": 0.0,
|
| 386 |
-
"loss": 1.
|
| 387 |
"step": 120
|
| 388 |
},
|
| 389 |
{
|
| 390 |
"epoch": 34.29,
|
| 391 |
"eval_accuracy": 0.45652173913043476,
|
| 392 |
-
"eval_loss": 1.
|
| 393 |
-
"eval_runtime": 0.
|
| 394 |
-
"eval_samples_per_second":
|
| 395 |
-
"eval_steps_per_second":
|
| 396 |
"step": 120
|
| 397 |
},
|
| 398 |
{
|
| 399 |
"epoch": 34.29,
|
| 400 |
"step": 120,
|
| 401 |
"total_flos": 2.3770905934823424e+17,
|
| 402 |
-
"train_loss": 1.
|
| 403 |
-
"train_runtime": 205.
|
| 404 |
-
"train_samples_per_second": 41.
|
| 405 |
-
"train_steps_per_second": 0.
|
| 406 |
}
|
| 407 |
],
|
| 408 |
"logging_steps": 10,
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": 0.45652173913043476,
|
| 3 |
+
"best_model_checkpoint": "swinv2-tiny-patch4-window8-256-DMAE-ex\\checkpoint-7",
|
| 4 |
"epoch": 34.285714285714285,
|
| 5 |
"eval_steps": 500,
|
| 6 |
"global_step": 120,
|
|
|
|
| 11 |
{
|
| 12 |
"epoch": 0.86,
|
| 13 |
"eval_accuracy": 0.10869565217391304,
|
| 14 |
+
"eval_loss": 6.683231353759766,
|
| 15 |
+
"eval_runtime": 0.7677,
|
| 16 |
+
"eval_samples_per_second": 59.919,
|
| 17 |
+
"eval_steps_per_second": 3.908,
|
| 18 |
"step": 3
|
| 19 |
},
|
| 20 |
{
|
| 21 |
"epoch": 2.0,
|
| 22 |
+
"eval_accuracy": 0.45652173913043476,
|
| 23 |
+
"eval_loss": 1.2148082256317139,
|
| 24 |
+
"eval_runtime": 0.7682,
|
| 25 |
+
"eval_samples_per_second": 59.881,
|
| 26 |
+
"eval_steps_per_second": 3.905,
|
| 27 |
"step": 7
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"epoch": 2.86,
|
| 31 |
+
"learning_rate": 0.0033333333333333335,
|
| 32 |
+
"loss": 4.4686,
|
| 33 |
"step": 10
|
| 34 |
},
|
| 35 |
{
|
| 36 |
"epoch": 2.86,
|
| 37 |
+
"eval_accuracy": 0.32608695652173914,
|
| 38 |
+
"eval_loss": 2.5061397552490234,
|
| 39 |
+
"eval_runtime": 0.8667,
|
| 40 |
+
"eval_samples_per_second": 53.075,
|
| 41 |
+
"eval_steps_per_second": 3.461,
|
| 42 |
"step": 10
|
| 43 |
},
|
| 44 |
{
|
| 45 |
"epoch": 4.0,
|
| 46 |
+
"eval_accuracy": 0.45652173913043476,
|
| 47 |
+
"eval_loss": 1.4142353534698486,
|
| 48 |
+
"eval_runtime": 0.7492,
|
| 49 |
+
"eval_samples_per_second": 61.401,
|
| 50 |
+
"eval_steps_per_second": 4.004,
|
| 51 |
"step": 14
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 4.86,
|
| 55 |
"eval_accuracy": 0.45652173913043476,
|
| 56 |
+
"eval_loss": 1.6117892265319824,
|
| 57 |
+
"eval_runtime": 0.8195,
|
| 58 |
+
"eval_samples_per_second": 56.133,
|
| 59 |
+
"eval_steps_per_second": 3.661,
|
| 60 |
"step": 17
|
| 61 |
},
|
| 62 |
{
|
| 63 |
"epoch": 5.71,
|
| 64 |
+
"learning_rate": 0.003703703703703704,
|
| 65 |
+
"loss": 1.7414,
|
| 66 |
"step": 20
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 6.0,
|
| 70 |
+
"eval_accuracy": 0.45652173913043476,
|
| 71 |
+
"eval_loss": 1.2483736276626587,
|
| 72 |
+
"eval_runtime": 0.7888,
|
| 73 |
+
"eval_samples_per_second": 58.319,
|
| 74 |
+
"eval_steps_per_second": 3.803,
|
| 75 |
"step": 21
|
| 76 |
},
|
| 77 |
{
|
| 78 |
"epoch": 6.86,
|
| 79 |
"eval_accuracy": 0.32608695652173914,
|
| 80 |
+
"eval_loss": 1.3689510822296143,
|
| 81 |
+
"eval_runtime": 0.8157,
|
| 82 |
+
"eval_samples_per_second": 56.393,
|
| 83 |
+
"eval_steps_per_second": 3.678,
|
| 84 |
"step": 24
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"epoch": 8.0,
|
| 88 |
"eval_accuracy": 0.45652173913043476,
|
| 89 |
+
"eval_loss": 1.4064823389053345,
|
| 90 |
+
"eval_runtime": 0.7631,
|
| 91 |
+
"eval_samples_per_second": 60.277,
|
| 92 |
+
"eval_steps_per_second": 3.931,
|
| 93 |
"step": 28
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"epoch": 8.57,
|
| 97 |
+
"learning_rate": 0.0033333333333333335,
|
| 98 |
+
"loss": 1.3568,
|
| 99 |
"step": 30
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 8.86,
|
| 103 |
"eval_accuracy": 0.32608695652173914,
|
| 104 |
+
"eval_loss": 1.2682174444198608,
|
| 105 |
+
"eval_runtime": 0.8441,
|
| 106 |
+
"eval_samples_per_second": 54.498,
|
| 107 |
+
"eval_steps_per_second": 3.554,
|
| 108 |
"step": 31
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 10.0,
|
| 112 |
"eval_accuracy": 0.45652173913043476,
|
| 113 |
+
"eval_loss": 1.2140024900436401,
|
| 114 |
+
"eval_runtime": 0.7452,
|
| 115 |
+
"eval_samples_per_second": 61.731,
|
| 116 |
+
"eval_steps_per_second": 4.026,
|
| 117 |
"step": 35
|
| 118 |
},
|
| 119 |
{
|
| 120 |
"epoch": 10.86,
|
| 121 |
"eval_accuracy": 0.45652173913043476,
|
| 122 |
+
"eval_loss": 1.2590564489364624,
|
| 123 |
+
"eval_runtime": 0.8142,
|
| 124 |
+
"eval_samples_per_second": 56.494,
|
| 125 |
+
"eval_steps_per_second": 3.684,
|
| 126 |
"step": 38
|
| 127 |
},
|
| 128 |
{
|
| 129 |
"epoch": 11.43,
|
| 130 |
+
"learning_rate": 0.002962962962962963,
|
| 131 |
+
"loss": 1.2275,
|
| 132 |
"step": 40
|
| 133 |
},
|
| 134 |
{
|
| 135 |
"epoch": 12.0,
|
| 136 |
"eval_accuracy": 0.45652173913043476,
|
| 137 |
+
"eval_loss": 1.2518616914749146,
|
| 138 |
+
"eval_runtime": 0.7487,
|
| 139 |
+
"eval_samples_per_second": 61.44,
|
| 140 |
+
"eval_steps_per_second": 4.007,
|
| 141 |
"step": 42
|
| 142 |
},
|
| 143 |
{
|
| 144 |
"epoch": 12.86,
|
| 145 |
"eval_accuracy": 0.45652173913043476,
|
| 146 |
+
"eval_loss": 1.2184066772460938,
|
| 147 |
+
"eval_runtime": 0.8182,
|
| 148 |
+
"eval_samples_per_second": 56.219,
|
| 149 |
+
"eval_steps_per_second": 3.666,
|
| 150 |
"step": 45
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 14.0,
|
| 154 |
"eval_accuracy": 0.45652173913043476,
|
| 155 |
+
"eval_loss": 1.2592365741729736,
|
| 156 |
+
"eval_runtime": 0.7547,
|
| 157 |
+
"eval_samples_per_second": 60.953,
|
| 158 |
+
"eval_steps_per_second": 3.975,
|
| 159 |
"step": 49
|
| 160 |
},
|
| 161 |
{
|
| 162 |
"epoch": 14.29,
|
| 163 |
+
"learning_rate": 0.0025925925925925925,
|
| 164 |
+
"loss": 1.3025,
|
| 165 |
"step": 50
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 14.86,
|
| 169 |
"eval_accuracy": 0.45652173913043476,
|
| 170 |
+
"eval_loss": 1.2246149778366089,
|
| 171 |
+
"eval_runtime": 0.7633,
|
| 172 |
+
"eval_samples_per_second": 60.267,
|
| 173 |
+
"eval_steps_per_second": 3.93,
|
| 174 |
"step": 52
|
| 175 |
},
|
| 176 |
{
|
| 177 |
"epoch": 16.0,
|
| 178 |
"eval_accuracy": 0.45652173913043476,
|
| 179 |
+
"eval_loss": 1.3045893907546997,
|
| 180 |
+
"eval_runtime": 0.7571,
|
| 181 |
+
"eval_samples_per_second": 60.762,
|
| 182 |
+
"eval_steps_per_second": 3.963,
|
| 183 |
"step": 56
|
| 184 |
},
|
| 185 |
{
|
| 186 |
"epoch": 16.86,
|
| 187 |
"eval_accuracy": 0.45652173913043476,
|
| 188 |
+
"eval_loss": 1.2177391052246094,
|
| 189 |
+
"eval_runtime": 0.7723,
|
| 190 |
+
"eval_samples_per_second": 59.56,
|
| 191 |
+
"eval_steps_per_second": 3.884,
|
| 192 |
"step": 59
|
| 193 |
},
|
| 194 |
{
|
| 195 |
"epoch": 17.14,
|
| 196 |
+
"learning_rate": 0.0022222222222222222,
|
| 197 |
+
"loss": 1.2981,
|
| 198 |
"step": 60
|
| 199 |
},
|
| 200 |
{
|
| 201 |
"epoch": 18.0,
|
| 202 |
"eval_accuracy": 0.45652173913043476,
|
| 203 |
+
"eval_loss": 1.2338941097259521,
|
| 204 |
+
"eval_runtime": 0.7731,
|
| 205 |
+
"eval_samples_per_second": 59.498,
|
| 206 |
+
"eval_steps_per_second": 3.88,
|
| 207 |
"step": 63
|
| 208 |
},
|
| 209 |
{
|
| 210 |
"epoch": 18.86,
|
| 211 |
"eval_accuracy": 0.45652173913043476,
|
| 212 |
+
"eval_loss": 1.313918113708496,
|
| 213 |
+
"eval_runtime": 0.7563,
|
| 214 |
+
"eval_samples_per_second": 60.821,
|
| 215 |
+
"eval_steps_per_second": 3.967,
|
| 216 |
"step": 66
|
| 217 |
},
|
| 218 |
{
|
| 219 |
"epoch": 20.0,
|
| 220 |
+
"learning_rate": 0.001851851851851852,
|
| 221 |
+
"loss": 1.2765,
|
| 222 |
"step": 70
|
| 223 |
},
|
| 224 |
{
|
| 225 |
"epoch": 20.0,
|
| 226 |
"eval_accuracy": 0.45652173913043476,
|
| 227 |
+
"eval_loss": 1.2116084098815918,
|
| 228 |
+
"eval_runtime": 0.7487,
|
| 229 |
+
"eval_samples_per_second": 61.441,
|
| 230 |
+
"eval_steps_per_second": 4.007,
|
| 231 |
"step": 70
|
| 232 |
},
|
| 233 |
{
|
| 234 |
"epoch": 20.86,
|
| 235 |
"eval_accuracy": 0.32608695652173914,
|
| 236 |
+
"eval_loss": 1.2283920049667358,
|
| 237 |
+
"eval_runtime": 0.8009,
|
| 238 |
+
"eval_samples_per_second": 57.432,
|
| 239 |
+
"eval_steps_per_second": 3.746,
|
| 240 |
"step": 73
|
| 241 |
},
|
| 242 |
{
|
| 243 |
"epoch": 22.0,
|
| 244 |
"eval_accuracy": 0.45652173913043476,
|
| 245 |
+
"eval_loss": 1.2246237993240356,
|
| 246 |
+
"eval_runtime": 0.7673,
|
| 247 |
+
"eval_samples_per_second": 59.952,
|
| 248 |
+
"eval_steps_per_second": 3.91,
|
| 249 |
"step": 77
|
| 250 |
},
|
| 251 |
{
|
| 252 |
"epoch": 22.86,
|
| 253 |
+
"learning_rate": 0.0014814814814814814,
|
| 254 |
+
"loss": 1.2074,
|
| 255 |
"step": 80
|
| 256 |
},
|
| 257 |
{
|
| 258 |
"epoch": 22.86,
|
| 259 |
"eval_accuracy": 0.45652173913043476,
|
| 260 |
+
"eval_loss": 1.2630535364151,
|
| 261 |
+
"eval_runtime": 0.7811,
|
| 262 |
+
"eval_samples_per_second": 58.89,
|
| 263 |
+
"eval_steps_per_second": 3.841,
|
| 264 |
"step": 80
|
| 265 |
},
|
| 266 |
{
|
| 267 |
"epoch": 24.0,
|
| 268 |
"eval_accuracy": 0.45652173913043476,
|
| 269 |
+
"eval_loss": 1.2092362642288208,
|
| 270 |
+
"eval_runtime": 0.769,
|
| 271 |
+
"eval_samples_per_second": 59.821,
|
| 272 |
+
"eval_steps_per_second": 3.901,
|
| 273 |
"step": 84
|
| 274 |
},
|
| 275 |
{
|
| 276 |
"epoch": 24.86,
|
| 277 |
"eval_accuracy": 0.45652173913043476,
|
| 278 |
+
"eval_loss": 1.2146543264389038,
|
| 279 |
+
"eval_runtime": 0.7867,
|
| 280 |
+
"eval_samples_per_second": 58.472,
|
| 281 |
+
"eval_steps_per_second": 3.813,
|
| 282 |
"step": 87
|
| 283 |
},
|
| 284 |
{
|
| 285 |
"epoch": 25.71,
|
| 286 |
+
"learning_rate": 0.0011111111111111111,
|
| 287 |
+
"loss": 1.2048,
|
| 288 |
"step": 90
|
| 289 |
},
|
| 290 |
{
|
| 291 |
"epoch": 26.0,
|
| 292 |
"eval_accuracy": 0.45652173913043476,
|
| 293 |
+
"eval_loss": 1.2120637893676758,
|
| 294 |
+
"eval_runtime": 0.8352,
|
| 295 |
+
"eval_samples_per_second": 55.077,
|
| 296 |
+
"eval_steps_per_second": 3.592,
|
| 297 |
"step": 91
|
| 298 |
},
|
| 299 |
{
|
| 300 |
"epoch": 26.86,
|
| 301 |
"eval_accuracy": 0.45652173913043476,
|
| 302 |
+
"eval_loss": 1.215645432472229,
|
| 303 |
+
"eval_runtime": 0.7342,
|
| 304 |
+
"eval_samples_per_second": 62.656,
|
| 305 |
+
"eval_steps_per_second": 4.086,
|
| 306 |
"step": 94
|
| 307 |
},
|
| 308 |
{
|
| 309 |
"epoch": 28.0,
|
| 310 |
"eval_accuracy": 0.45652173913043476,
|
| 311 |
+
"eval_loss": 1.2249161005020142,
|
| 312 |
+
"eval_runtime": 0.8011,
|
| 313 |
+
"eval_samples_per_second": 57.422,
|
| 314 |
+
"eval_steps_per_second": 3.745,
|
| 315 |
"step": 98
|
| 316 |
},
|
| 317 |
{
|
| 318 |
"epoch": 28.57,
|
| 319 |
+
"learning_rate": 0.0007407407407407407,
|
| 320 |
+
"loss": 1.2068,
|
| 321 |
"step": 100
|
| 322 |
},
|
| 323 |
{
|
| 324 |
"epoch": 28.86,
|
| 325 |
"eval_accuracy": 0.45652173913043476,
|
| 326 |
+
"eval_loss": 1.2159205675125122,
|
| 327 |
+
"eval_runtime": 0.7602,
|
| 328 |
+
"eval_samples_per_second": 60.509,
|
| 329 |
+
"eval_steps_per_second": 3.946,
|
| 330 |
"step": 101
|
| 331 |
},
|
| 332 |
{
|
| 333 |
"epoch": 30.0,
|
| 334 |
"eval_accuracy": 0.45652173913043476,
|
| 335 |
+
"eval_loss": 1.210811972618103,
|
| 336 |
+
"eval_runtime": 0.795,
|
| 337 |
+
"eval_samples_per_second": 57.858,
|
| 338 |
+
"eval_steps_per_second": 3.773,
|
| 339 |
"step": 105
|
| 340 |
},
|
| 341 |
{
|
| 342 |
"epoch": 30.86,
|
| 343 |
"eval_accuracy": 0.45652173913043476,
|
| 344 |
+
"eval_loss": 1.2115787267684937,
|
| 345 |
+
"eval_runtime": 0.7682,
|
| 346 |
+
"eval_samples_per_second": 59.882,
|
| 347 |
+
"eval_steps_per_second": 3.905,
|
| 348 |
"step": 108
|
| 349 |
},
|
| 350 |
{
|
| 351 |
"epoch": 31.43,
|
| 352 |
+
"learning_rate": 0.00037037037037037035,
|
| 353 |
+
"loss": 1.1961,
|
| 354 |
"step": 110
|
| 355 |
},
|
| 356 |
{
|
| 357 |
"epoch": 32.0,
|
| 358 |
"eval_accuracy": 0.45652173913043476,
|
| 359 |
+
"eval_loss": 1.2078149318695068,
|
| 360 |
+
"eval_runtime": 0.8022,
|
| 361 |
+
"eval_samples_per_second": 57.342,
|
| 362 |
+
"eval_steps_per_second": 3.74,
|
| 363 |
"step": 112
|
| 364 |
},
|
| 365 |
{
|
| 366 |
"epoch": 32.86,
|
| 367 |
"eval_accuracy": 0.45652173913043476,
|
| 368 |
+
"eval_loss": 1.2069722414016724,
|
| 369 |
+
"eval_runtime": 0.8538,
|
| 370 |
+
"eval_samples_per_second": 53.877,
|
| 371 |
+
"eval_steps_per_second": 3.514,
|
| 372 |
"step": 115
|
| 373 |
},
|
| 374 |
{
|
| 375 |
"epoch": 34.0,
|
| 376 |
"eval_accuracy": 0.45652173913043476,
|
| 377 |
+
"eval_loss": 1.2071927785873413,
|
| 378 |
+
"eval_runtime": 0.77,
|
| 379 |
+
"eval_samples_per_second": 59.74,
|
| 380 |
+
"eval_steps_per_second": 3.896,
|
| 381 |
"step": 119
|
| 382 |
},
|
| 383 |
{
|
| 384 |
"epoch": 34.29,
|
| 385 |
"learning_rate": 0.0,
|
| 386 |
+
"loss": 1.1999,
|
| 387 |
"step": 120
|
| 388 |
},
|
| 389 |
{
|
| 390 |
"epoch": 34.29,
|
| 391 |
"eval_accuracy": 0.45652173913043476,
|
| 392 |
+
"eval_loss": 1.207156777381897,
|
| 393 |
+
"eval_runtime": 0.7739,
|
| 394 |
+
"eval_samples_per_second": 59.437,
|
| 395 |
+
"eval_steps_per_second": 3.876,
|
| 396 |
"step": 120
|
| 397 |
},
|
| 398 |
{
|
| 399 |
"epoch": 34.29,
|
| 400 |
"step": 120,
|
| 401 |
"total_flos": 2.3770905934823424e+17,
|
| 402 |
+
"train_loss": 1.5571933190027873,
|
| 403 |
+
"train_runtime": 205.4869,
|
| 404 |
+
"train_samples_per_second": 41.462,
|
| 405 |
+
"train_steps_per_second": 0.584
|
| 406 |
}
|
| 407 |
],
|
| 408 |
"logging_steps": 10,
|