End of training
Browse files- README.md +1 -1
- all_results.json +9 -9
- eval_results.json +5 -5
- runs/Sep18_05-34-03_0a55b5166c22/events.out.tfevents.1726646257.0a55b5166c22.36.2 +3 -0
- train_results.json +4 -4
- trainer_state.json +136 -136
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 [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
-
- Loss: 0.
|
| 36 |
- Accuracy: 0.9118
|
| 37 |
|
| 38 |
## Model description
|
|
|
|
| 32 |
|
| 33 |
This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
+
- Loss: 0.3421
|
| 36 |
- Accuracy: 0.9118
|
| 37 |
|
| 38 |
## Model description
|
all_results.json
CHANGED
|
@@ -1,13 +1,13 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 14.805194805194805,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime": 28.
|
| 6 |
-
"eval_samples_per_second": 4.
|
| 7 |
-
"eval_steps_per_second": 0.
|
| 8 |
"total_flos": 9.04681758989353e+16,
|
| 9 |
-
"train_loss": 0.
|
| 10 |
-
"train_runtime":
|
| 11 |
-
"train_samples_per_second": 4.
|
| 12 |
-
"train_steps_per_second": 0.
|
| 13 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 14.805194805194805,
|
| 3 |
+
"eval_accuracy": 0.9117647058823529,
|
| 4 |
+
"eval_loss": 0.34208229184150696,
|
| 5 |
+
"eval_runtime": 28.5471,
|
| 6 |
+
"eval_samples_per_second": 4.764,
|
| 7 |
+
"eval_steps_per_second": 0.315,
|
| 8 |
"total_flos": 9.04681758989353e+16,
|
| 9 |
+
"train_loss": 0.2430994153022766,
|
| 10 |
+
"train_runtime": 4010.606,
|
| 11 |
+
"train_samples_per_second": 4.578,
|
| 12 |
+
"train_steps_per_second": 0.071
|
| 13 |
}
|
eval_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 14.805194805194805,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime": 28.
|
| 6 |
-
"eval_samples_per_second": 4.
|
| 7 |
-
"eval_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 14.805194805194805,
|
| 3 |
+
"eval_accuracy": 0.9117647058823529,
|
| 4 |
+
"eval_loss": 0.34208229184150696,
|
| 5 |
+
"eval_runtime": 28.5471,
|
| 6 |
+
"eval_samples_per_second": 4.764,
|
| 7 |
+
"eval_steps_per_second": 0.315
|
| 8 |
}
|
runs/Sep18_05-34-03_0a55b5166c22/events.out.tfevents.1726646257.0a55b5166c22.36.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:77503f0fca795d6bb2c8c46ca193331e9cf704748c14caa88f8697dc64e57bb8
|
| 3 |
+
size 411
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 14.805194805194805,
|
| 3 |
"total_flos": 9.04681758989353e+16,
|
| 4 |
-
"train_loss": 0.
|
| 5 |
-
"train_runtime":
|
| 6 |
-
"train_samples_per_second": 4.
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 14.805194805194805,
|
| 3 |
"total_flos": 9.04681758989353e+16,
|
| 4 |
+
"train_loss": 0.2430994153022766,
|
| 5 |
+
"train_runtime": 4010.606,
|
| 6 |
+
"train_samples_per_second": 4.578,
|
| 7 |
+
"train_steps_per_second": 0.071
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
"best_model_checkpoint": "deit-tiny-patch16-224-finetuned-papsmear/checkpoint-269",
|
| 4 |
"epoch": 14.805194805194805,
|
| 5 |
"eval_steps": 500,
|
|
@@ -10,343 +10,343 @@
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.5194805194805194,
|
| 13 |
-
"grad_norm":
|
| 14 |
"learning_rate": 1.7241379310344828e-05,
|
| 15 |
-
"loss":
|
| 16 |
"step": 10
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.987012987012987,
|
| 20 |
-
"eval_accuracy": 0.
|
| 21 |
-
"eval_loss":
|
| 22 |
-
"eval_runtime":
|
| 23 |
-
"eval_samples_per_second": 4.
|
| 24 |
-
"eval_steps_per_second": 0.
|
| 25 |
"step": 19
|
| 26 |
},
|
| 27 |
{
|
| 28 |
"epoch": 1.0389610389610389,
|
| 29 |
-
"grad_norm":
|
| 30 |
"learning_rate": 3.4482758620689657e-05,
|
| 31 |
-
"loss":
|
| 32 |
"step": 20
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"epoch": 1.5584415584415585,
|
| 36 |
-
"grad_norm":
|
| 37 |
"learning_rate": 4.9804687500000004e-05,
|
| 38 |
-
"loss":
|
| 39 |
"step": 30
|
| 40 |
},
|
| 41 |
{
|
| 42 |
"epoch": 1.974025974025974,
|
| 43 |
-
"eval_accuracy": 0.
|
| 44 |
-
"eval_loss":
|
| 45 |
-
"eval_runtime":
|
| 46 |
-
"eval_samples_per_second": 4.
|
| 47 |
-
"eval_steps_per_second": 0.
|
| 48 |
"step": 38
|
| 49 |
},
|
| 50 |
{
|
| 51 |
"epoch": 2.0779220779220777,
|
| 52 |
-
"grad_norm":
|
| 53 |
"learning_rate": 4.78515625e-05,
|
| 54 |
-
"loss":
|
| 55 |
"step": 40
|
| 56 |
},
|
| 57 |
{
|
| 58 |
"epoch": 2.5974025974025974,
|
| 59 |
-
"grad_norm":
|
| 60 |
"learning_rate": 4.58984375e-05,
|
| 61 |
-
"loss":
|
| 62 |
"step": 50
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 2.961038961038961,
|
| 66 |
-
"eval_accuracy": 0.
|
| 67 |
-
"eval_loss":
|
| 68 |
-
"eval_runtime": 28.
|
| 69 |
-
"eval_samples_per_second": 4.
|
| 70 |
-
"eval_steps_per_second": 0.
|
| 71 |
"step": 57
|
| 72 |
},
|
| 73 |
{
|
| 74 |
"epoch": 3.116883116883117,
|
| 75 |
-
"grad_norm":
|
| 76 |
"learning_rate": 4.3945312500000005e-05,
|
| 77 |
-
"loss":
|
| 78 |
"step": 60
|
| 79 |
},
|
| 80 |
{
|
| 81 |
"epoch": 3.6363636363636362,
|
| 82 |
-
"grad_norm":
|
| 83 |
"learning_rate": 4.1992187500000003e-05,
|
| 84 |
-
"loss": 0.
|
| 85 |
"step": 70
|
| 86 |
},
|
| 87 |
{
|
| 88 |
"epoch": 4.0,
|
| 89 |
-
"eval_accuracy": 0.
|
| 90 |
-
"eval_loss":
|
| 91 |
-
"eval_runtime": 28.
|
| 92 |
-
"eval_samples_per_second": 4.
|
| 93 |
-
"eval_steps_per_second": 0.
|
| 94 |
"step": 77
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 4.1558441558441555,
|
| 98 |
-
"grad_norm":
|
| 99 |
"learning_rate": 4.00390625e-05,
|
| 100 |
-
"loss": 0.
|
| 101 |
"step": 80
|
| 102 |
},
|
| 103 |
{
|
| 104 |
"epoch": 4.675324675324675,
|
| 105 |
-
"grad_norm":
|
| 106 |
"learning_rate": 3.80859375e-05,
|
| 107 |
-
"loss": 0.
|
| 108 |
"step": 90
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 4.987012987012987,
|
| 112 |
-
"eval_accuracy": 0.
|
| 113 |
-
"eval_loss": 0.
|
| 114 |
-
"eval_runtime": 28.
|
| 115 |
-
"eval_samples_per_second": 4.
|
| 116 |
-
"eval_steps_per_second": 0.
|
| 117 |
"step": 96
|
| 118 |
},
|
| 119 |
{
|
| 120 |
"epoch": 5.194805194805195,
|
| 121 |
-
"grad_norm":
|
| 122 |
"learning_rate": 3.6132812500000005e-05,
|
| 123 |
-
"loss": 0.
|
| 124 |
"step": 100
|
| 125 |
},
|
| 126 |
{
|
| 127 |
"epoch": 5.714285714285714,
|
| 128 |
-
"grad_norm":
|
| 129 |
"learning_rate": 3.41796875e-05,
|
| 130 |
-
"loss": 0.
|
| 131 |
"step": 110
|
| 132 |
},
|
| 133 |
{
|
| 134 |
"epoch": 5.974025974025974,
|
| 135 |
-
"eval_accuracy": 0.
|
| 136 |
-
"eval_loss": 0.
|
| 137 |
-
"eval_runtime": 28.
|
| 138 |
-
"eval_samples_per_second": 4.
|
| 139 |
-
"eval_steps_per_second": 0.
|
| 140 |
"step": 115
|
| 141 |
},
|
| 142 |
{
|
| 143 |
"epoch": 6.233766233766234,
|
| 144 |
-
"grad_norm":
|
| 145 |
"learning_rate": 3.22265625e-05,
|
| 146 |
-
"loss": 0.
|
| 147 |
"step": 120
|
| 148 |
},
|
| 149 |
{
|
| 150 |
"epoch": 6.753246753246753,
|
| 151 |
-
"grad_norm":
|
| 152 |
"learning_rate": 3.02734375e-05,
|
| 153 |
-
"loss": 0.
|
| 154 |
"step": 130
|
| 155 |
},
|
| 156 |
{
|
| 157 |
"epoch": 6.961038961038961,
|
| 158 |
-
"eval_accuracy": 0.
|
| 159 |
-
"eval_loss": 0.
|
| 160 |
-
"eval_runtime": 28.
|
| 161 |
-
"eval_samples_per_second": 4.
|
| 162 |
-
"eval_steps_per_second": 0.
|
| 163 |
"step": 134
|
| 164 |
},
|
| 165 |
{
|
| 166 |
"epoch": 7.2727272727272725,
|
| 167 |
-
"grad_norm":
|
| 168 |
"learning_rate": 2.83203125e-05,
|
| 169 |
-
"loss": 0.
|
| 170 |
"step": 140
|
| 171 |
},
|
| 172 |
{
|
| 173 |
"epoch": 7.792207792207792,
|
| 174 |
-
"grad_norm":
|
| 175 |
"learning_rate": 2.63671875e-05,
|
| 176 |
-
"loss": 0.
|
| 177 |
"step": 150
|
| 178 |
},
|
| 179 |
{
|
| 180 |
"epoch": 8.0,
|
| 181 |
-
"eval_accuracy": 0.
|
| 182 |
-
"eval_loss": 0.
|
| 183 |
-
"eval_runtime": 28.
|
| 184 |
-
"eval_samples_per_second": 4.
|
| 185 |
-
"eval_steps_per_second": 0.
|
| 186 |
"step": 154
|
| 187 |
},
|
| 188 |
{
|
| 189 |
"epoch": 8.311688311688311,
|
| 190 |
-
"grad_norm":
|
| 191 |
"learning_rate": 2.44140625e-05,
|
| 192 |
-
"loss": 0.
|
| 193 |
"step": 160
|
| 194 |
},
|
| 195 |
{
|
| 196 |
"epoch": 8.831168831168831,
|
| 197 |
-
"grad_norm":
|
| 198 |
"learning_rate": 2.24609375e-05,
|
| 199 |
-
"loss": 0.
|
| 200 |
"step": 170
|
| 201 |
},
|
| 202 |
{
|
| 203 |
"epoch": 8.987012987012987,
|
| 204 |
-
"eval_accuracy": 0.
|
| 205 |
-
"eval_loss": 0.
|
| 206 |
-
"eval_runtime": 28.
|
| 207 |
-
"eval_samples_per_second": 4.
|
| 208 |
-
"eval_steps_per_second": 0.
|
| 209 |
"step": 173
|
| 210 |
},
|
| 211 |
{
|
| 212 |
"epoch": 9.35064935064935,
|
| 213 |
-
"grad_norm":
|
| 214 |
"learning_rate": 2.05078125e-05,
|
| 215 |
-
"loss": 0.
|
| 216 |
"step": 180
|
| 217 |
},
|
| 218 |
{
|
| 219 |
"epoch": 9.87012987012987,
|
| 220 |
-
"grad_norm":
|
| 221 |
"learning_rate": 1.85546875e-05,
|
| 222 |
-
"loss": 0.
|
| 223 |
"step": 190
|
| 224 |
},
|
| 225 |
{
|
| 226 |
"epoch": 9.974025974025974,
|
| 227 |
-
"eval_accuracy": 0.
|
| 228 |
-
"eval_loss": 0.
|
| 229 |
-
"eval_runtime": 28.
|
| 230 |
-
"eval_samples_per_second": 4.
|
| 231 |
-
"eval_steps_per_second": 0.
|
| 232 |
"step": 192
|
| 233 |
},
|
| 234 |
{
|
| 235 |
"epoch": 10.38961038961039,
|
| 236 |
-
"grad_norm": 8.
|
| 237 |
"learning_rate": 1.66015625e-05,
|
| 238 |
-
"loss": 0.
|
| 239 |
"step": 200
|
| 240 |
},
|
| 241 |
{
|
| 242 |
"epoch": 10.909090909090908,
|
| 243 |
-
"grad_norm":
|
| 244 |
"learning_rate": 1.4648437500000001e-05,
|
| 245 |
-
"loss": 0.
|
| 246 |
"step": 210
|
| 247 |
},
|
| 248 |
{
|
| 249 |
"epoch": 10.96103896103896,
|
| 250 |
-
"eval_accuracy": 0.
|
| 251 |
-
"eval_loss": 0.
|
| 252 |
-
"eval_runtime": 28.
|
| 253 |
-
"eval_samples_per_second": 4.
|
| 254 |
-
"eval_steps_per_second": 0.
|
| 255 |
"step": 211
|
| 256 |
},
|
| 257 |
{
|
| 258 |
"epoch": 11.428571428571429,
|
| 259 |
-
"grad_norm":
|
| 260 |
"learning_rate": 1.2695312500000001e-05,
|
| 261 |
-
"loss": 0.
|
| 262 |
"step": 220
|
| 263 |
},
|
| 264 |
{
|
| 265 |
"epoch": 11.948051948051948,
|
| 266 |
-
"grad_norm":
|
| 267 |
"learning_rate": 1.0742187500000001e-05,
|
| 268 |
-
"loss": 0.
|
| 269 |
"step": 230
|
| 270 |
},
|
| 271 |
{
|
| 272 |
"epoch": 12.0,
|
| 273 |
-
"eval_accuracy": 0.
|
| 274 |
-
"eval_loss": 0.
|
| 275 |
-
"eval_runtime":
|
| 276 |
-
"eval_samples_per_second": 4.
|
| 277 |
-
"eval_steps_per_second": 0.
|
| 278 |
"step": 231
|
| 279 |
},
|
| 280 |
{
|
| 281 |
"epoch": 12.467532467532468,
|
| 282 |
-
"grad_norm": 7.
|
| 283 |
"learning_rate": 8.789062500000001e-06,
|
| 284 |
-
"loss": 0.
|
| 285 |
"step": 240
|
| 286 |
},
|
| 287 |
{
|
| 288 |
"epoch": 12.987012987012987,
|
| 289 |
-
"grad_norm":
|
| 290 |
"learning_rate": 6.8359375e-06,
|
| 291 |
-
"loss": 0.
|
| 292 |
"step": 250
|
| 293 |
},
|
| 294 |
{
|
| 295 |
"epoch": 12.987012987012987,
|
| 296 |
-
"eval_accuracy": 0.
|
| 297 |
-
"eval_loss": 0.
|
| 298 |
-
"eval_runtime":
|
| 299 |
-
"eval_samples_per_second": 4.
|
| 300 |
-
"eval_steps_per_second": 0.
|
| 301 |
"step": 250
|
| 302 |
},
|
| 303 |
{
|
| 304 |
"epoch": 13.506493506493506,
|
| 305 |
-
"grad_norm":
|
| 306 |
"learning_rate": 4.8828125e-06,
|
| 307 |
-
"loss": 0.
|
| 308 |
"step": 260
|
| 309 |
},
|
| 310 |
{
|
| 311 |
"epoch": 13.974025974025974,
|
| 312 |
-
"eval_accuracy": 0.
|
| 313 |
-
"eval_loss": 0.
|
| 314 |
-
"eval_runtime": 28.
|
| 315 |
-
"eval_samples_per_second": 4.
|
| 316 |
-
"eval_steps_per_second": 0.
|
| 317 |
"step": 269
|
| 318 |
},
|
| 319 |
{
|
| 320 |
"epoch": 14.025974025974026,
|
| 321 |
-
"grad_norm":
|
| 322 |
"learning_rate": 2.9296875e-06,
|
| 323 |
-
"loss": 0.
|
| 324 |
"step": 270
|
| 325 |
},
|
| 326 |
{
|
| 327 |
"epoch": 14.545454545454545,
|
| 328 |
-
"grad_norm":
|
| 329 |
"learning_rate": 9.765625e-07,
|
| 330 |
-
"loss": 0.
|
| 331 |
"step": 280
|
| 332 |
},
|
| 333 |
{
|
| 334 |
"epoch": 14.805194805194805,
|
| 335 |
-
"eval_accuracy": 0.
|
| 336 |
-
"eval_loss": 0.
|
| 337 |
-
"eval_runtime": 28.
|
| 338 |
-
"eval_samples_per_second": 4.
|
| 339 |
-
"eval_steps_per_second": 0.
|
| 340 |
"step": 285
|
| 341 |
},
|
| 342 |
{
|
| 343 |
"epoch": 14.805194805194805,
|
| 344 |
"step": 285,
|
| 345 |
"total_flos": 9.04681758989353e+16,
|
| 346 |
-
"train_loss": 0.
|
| 347 |
-
"train_runtime":
|
| 348 |
-
"train_samples_per_second": 4.
|
| 349 |
-
"train_steps_per_second": 0.
|
| 350 |
}
|
| 351 |
],
|
| 352 |
"logging_steps": 10,
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.9117647058823529,
|
| 3 |
"best_model_checkpoint": "deit-tiny-patch16-224-finetuned-papsmear/checkpoint-269",
|
| 4 |
"epoch": 14.805194805194805,
|
| 5 |
"eval_steps": 500,
|
|
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.5194805194805194,
|
| 13 |
+
"grad_norm": 11.024985313415527,
|
| 14 |
"learning_rate": 1.7241379310344828e-05,
|
| 15 |
+
"loss": 0.3521,
|
| 16 |
"step": 10
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.987012987012987,
|
| 20 |
+
"eval_accuracy": 0.8235294117647058,
|
| 21 |
+
"eval_loss": 0.4595417082309723,
|
| 22 |
+
"eval_runtime": 28.5401,
|
| 23 |
+
"eval_samples_per_second": 4.765,
|
| 24 |
+
"eval_steps_per_second": 0.315,
|
| 25 |
"step": 19
|
| 26 |
},
|
| 27 |
{
|
| 28 |
"epoch": 1.0389610389610389,
|
| 29 |
+
"grad_norm": 14.813636779785156,
|
| 30 |
"learning_rate": 3.4482758620689657e-05,
|
| 31 |
+
"loss": 0.3115,
|
| 32 |
"step": 20
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"epoch": 1.5584415584415585,
|
| 36 |
+
"grad_norm": 16.087106704711914,
|
| 37 |
"learning_rate": 4.9804687500000004e-05,
|
| 38 |
+
"loss": 0.335,
|
| 39 |
"step": 30
|
| 40 |
},
|
| 41 |
{
|
| 42 |
"epoch": 1.974025974025974,
|
| 43 |
+
"eval_accuracy": 0.8602941176470589,
|
| 44 |
+
"eval_loss": 0.4491410553455353,
|
| 45 |
+
"eval_runtime": 27.9762,
|
| 46 |
+
"eval_samples_per_second": 4.861,
|
| 47 |
+
"eval_steps_per_second": 0.322,
|
| 48 |
"step": 38
|
| 49 |
},
|
| 50 |
{
|
| 51 |
"epoch": 2.0779220779220777,
|
| 52 |
+
"grad_norm": 19.62188720703125,
|
| 53 |
"learning_rate": 4.78515625e-05,
|
| 54 |
+
"loss": 0.4021,
|
| 55 |
"step": 40
|
| 56 |
},
|
| 57 |
{
|
| 58 |
"epoch": 2.5974025974025974,
|
| 59 |
+
"grad_norm": 12.998429298400879,
|
| 60 |
"learning_rate": 4.58984375e-05,
|
| 61 |
+
"loss": 0.3248,
|
| 62 |
"step": 50
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 2.961038961038961,
|
| 66 |
+
"eval_accuracy": 0.875,
|
| 67 |
+
"eval_loss": 0.4195605218410492,
|
| 68 |
+
"eval_runtime": 28.3986,
|
| 69 |
+
"eval_samples_per_second": 4.789,
|
| 70 |
+
"eval_steps_per_second": 0.317,
|
| 71 |
"step": 57
|
| 72 |
},
|
| 73 |
{
|
| 74 |
"epoch": 3.116883116883117,
|
| 75 |
+
"grad_norm": 8.330426216125488,
|
| 76 |
"learning_rate": 4.3945312500000005e-05,
|
| 77 |
+
"loss": 0.3613,
|
| 78 |
"step": 60
|
| 79 |
},
|
| 80 |
{
|
| 81 |
"epoch": 3.6363636363636362,
|
| 82 |
+
"grad_norm": 10.42120361328125,
|
| 83 |
"learning_rate": 4.1992187500000003e-05,
|
| 84 |
+
"loss": 0.3271,
|
| 85 |
"step": 70
|
| 86 |
},
|
| 87 |
{
|
| 88 |
"epoch": 4.0,
|
| 89 |
+
"eval_accuracy": 0.8014705882352942,
|
| 90 |
+
"eval_loss": 0.5466737151145935,
|
| 91 |
+
"eval_runtime": 28.1607,
|
| 92 |
+
"eval_samples_per_second": 4.829,
|
| 93 |
+
"eval_steps_per_second": 0.32,
|
| 94 |
"step": 77
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 4.1558441558441555,
|
| 98 |
+
"grad_norm": 14.403099060058594,
|
| 99 |
"learning_rate": 4.00390625e-05,
|
| 100 |
+
"loss": 0.3451,
|
| 101 |
"step": 80
|
| 102 |
},
|
| 103 |
{
|
| 104 |
"epoch": 4.675324675324675,
|
| 105 |
+
"grad_norm": 18.443952560424805,
|
| 106 |
"learning_rate": 3.80859375e-05,
|
| 107 |
+
"loss": 0.3286,
|
| 108 |
"step": 90
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 4.987012987012987,
|
| 112 |
+
"eval_accuracy": 0.8161764705882353,
|
| 113 |
+
"eval_loss": 0.4768396317958832,
|
| 114 |
+
"eval_runtime": 28.7873,
|
| 115 |
+
"eval_samples_per_second": 4.724,
|
| 116 |
+
"eval_steps_per_second": 0.313,
|
| 117 |
"step": 96
|
| 118 |
},
|
| 119 |
{
|
| 120 |
"epoch": 5.194805194805195,
|
| 121 |
+
"grad_norm": 8.146430969238281,
|
| 122 |
"learning_rate": 3.6132812500000005e-05,
|
| 123 |
+
"loss": 0.2577,
|
| 124 |
"step": 100
|
| 125 |
},
|
| 126 |
{
|
| 127 |
"epoch": 5.714285714285714,
|
| 128 |
+
"grad_norm": 7.037234306335449,
|
| 129 |
"learning_rate": 3.41796875e-05,
|
| 130 |
+
"loss": 0.2854,
|
| 131 |
"step": 110
|
| 132 |
},
|
| 133 |
{
|
| 134 |
"epoch": 5.974025974025974,
|
| 135 |
+
"eval_accuracy": 0.8676470588235294,
|
| 136 |
+
"eval_loss": 0.41474443674087524,
|
| 137 |
+
"eval_runtime": 28.6719,
|
| 138 |
+
"eval_samples_per_second": 4.743,
|
| 139 |
+
"eval_steps_per_second": 0.314,
|
| 140 |
"step": 115
|
| 141 |
},
|
| 142 |
{
|
| 143 |
"epoch": 6.233766233766234,
|
| 144 |
+
"grad_norm": 10.498587608337402,
|
| 145 |
"learning_rate": 3.22265625e-05,
|
| 146 |
+
"loss": 0.2295,
|
| 147 |
"step": 120
|
| 148 |
},
|
| 149 |
{
|
| 150 |
"epoch": 6.753246753246753,
|
| 151 |
+
"grad_norm": 13.865105628967285,
|
| 152 |
"learning_rate": 3.02734375e-05,
|
| 153 |
+
"loss": 0.2291,
|
| 154 |
"step": 130
|
| 155 |
},
|
| 156 |
{
|
| 157 |
"epoch": 6.961038961038961,
|
| 158 |
+
"eval_accuracy": 0.8676470588235294,
|
| 159 |
+
"eval_loss": 0.4321264624595642,
|
| 160 |
+
"eval_runtime": 28.1356,
|
| 161 |
+
"eval_samples_per_second": 4.834,
|
| 162 |
+
"eval_steps_per_second": 0.32,
|
| 163 |
"step": 134
|
| 164 |
},
|
| 165 |
{
|
| 166 |
"epoch": 7.2727272727272725,
|
| 167 |
+
"grad_norm": 14.981769561767578,
|
| 168 |
"learning_rate": 2.83203125e-05,
|
| 169 |
+
"loss": 0.2356,
|
| 170 |
"step": 140
|
| 171 |
},
|
| 172 |
{
|
| 173 |
"epoch": 7.792207792207792,
|
| 174 |
+
"grad_norm": 17.98302459716797,
|
| 175 |
"learning_rate": 2.63671875e-05,
|
| 176 |
+
"loss": 0.2619,
|
| 177 |
"step": 150
|
| 178 |
},
|
| 179 |
{
|
| 180 |
"epoch": 8.0,
|
| 181 |
+
"eval_accuracy": 0.8235294117647058,
|
| 182 |
+
"eval_loss": 0.5726210474967957,
|
| 183 |
+
"eval_runtime": 28.5909,
|
| 184 |
+
"eval_samples_per_second": 4.757,
|
| 185 |
+
"eval_steps_per_second": 0.315,
|
| 186 |
"step": 154
|
| 187 |
},
|
| 188 |
{
|
| 189 |
"epoch": 8.311688311688311,
|
| 190 |
+
"grad_norm": 17.48947525024414,
|
| 191 |
"learning_rate": 2.44140625e-05,
|
| 192 |
+
"loss": 0.2315,
|
| 193 |
"step": 160
|
| 194 |
},
|
| 195 |
{
|
| 196 |
"epoch": 8.831168831168831,
|
| 197 |
+
"grad_norm": 18.059572219848633,
|
| 198 |
"learning_rate": 2.24609375e-05,
|
| 199 |
+
"loss": 0.2196,
|
| 200 |
"step": 170
|
| 201 |
},
|
| 202 |
{
|
| 203 |
"epoch": 8.987012987012987,
|
| 204 |
+
"eval_accuracy": 0.8676470588235294,
|
| 205 |
+
"eval_loss": 0.4344201982021332,
|
| 206 |
+
"eval_runtime": 28.8842,
|
| 207 |
+
"eval_samples_per_second": 4.708,
|
| 208 |
+
"eval_steps_per_second": 0.312,
|
| 209 |
"step": 173
|
| 210 |
},
|
| 211 |
{
|
| 212 |
"epoch": 9.35064935064935,
|
| 213 |
+
"grad_norm": 13.211594581604004,
|
| 214 |
"learning_rate": 2.05078125e-05,
|
| 215 |
+
"loss": 0.22,
|
| 216 |
"step": 180
|
| 217 |
},
|
| 218 |
{
|
| 219 |
"epoch": 9.87012987012987,
|
| 220 |
+
"grad_norm": 14.067967414855957,
|
| 221 |
"learning_rate": 1.85546875e-05,
|
| 222 |
+
"loss": 0.2116,
|
| 223 |
"step": 190
|
| 224 |
},
|
| 225 |
{
|
| 226 |
"epoch": 9.974025974025974,
|
| 227 |
+
"eval_accuracy": 0.875,
|
| 228 |
+
"eval_loss": 0.38092589378356934,
|
| 229 |
+
"eval_runtime": 28.2538,
|
| 230 |
+
"eval_samples_per_second": 4.814,
|
| 231 |
+
"eval_steps_per_second": 0.319,
|
| 232 |
"step": 192
|
| 233 |
},
|
| 234 |
{
|
| 235 |
"epoch": 10.38961038961039,
|
| 236 |
+
"grad_norm": 8.458534240722656,
|
| 237 |
"learning_rate": 1.66015625e-05,
|
| 238 |
+
"loss": 0.1843,
|
| 239 |
"step": 200
|
| 240 |
},
|
| 241 |
{
|
| 242 |
"epoch": 10.909090909090908,
|
| 243 |
+
"grad_norm": 11.62593936920166,
|
| 244 |
"learning_rate": 1.4648437500000001e-05,
|
| 245 |
+
"loss": 0.1913,
|
| 246 |
"step": 210
|
| 247 |
},
|
| 248 |
{
|
| 249 |
"epoch": 10.96103896103896,
|
| 250 |
+
"eval_accuracy": 0.8602941176470589,
|
| 251 |
+
"eval_loss": 0.37573114037513733,
|
| 252 |
+
"eval_runtime": 28.2614,
|
| 253 |
+
"eval_samples_per_second": 4.812,
|
| 254 |
+
"eval_steps_per_second": 0.318,
|
| 255 |
"step": 211
|
| 256 |
},
|
| 257 |
{
|
| 258 |
"epoch": 11.428571428571429,
|
| 259 |
+
"grad_norm": 15.429533958435059,
|
| 260 |
"learning_rate": 1.2695312500000001e-05,
|
| 261 |
+
"loss": 0.1654,
|
| 262 |
"step": 220
|
| 263 |
},
|
| 264 |
{
|
| 265 |
"epoch": 11.948051948051948,
|
| 266 |
+
"grad_norm": 8.531671524047852,
|
| 267 |
"learning_rate": 1.0742187500000001e-05,
|
| 268 |
+
"loss": 0.1604,
|
| 269 |
"step": 230
|
| 270 |
},
|
| 271 |
{
|
| 272 |
"epoch": 12.0,
|
| 273 |
+
"eval_accuracy": 0.8897058823529411,
|
| 274 |
+
"eval_loss": 0.35508498549461365,
|
| 275 |
+
"eval_runtime": 28.7628,
|
| 276 |
+
"eval_samples_per_second": 4.728,
|
| 277 |
+
"eval_steps_per_second": 0.313,
|
| 278 |
"step": 231
|
| 279 |
},
|
| 280 |
{
|
| 281 |
"epoch": 12.467532467532468,
|
| 282 |
+
"grad_norm": 7.988156318664551,
|
| 283 |
"learning_rate": 8.789062500000001e-06,
|
| 284 |
+
"loss": 0.1558,
|
| 285 |
"step": 240
|
| 286 |
},
|
| 287 |
{
|
| 288 |
"epoch": 12.987012987012987,
|
| 289 |
+
"grad_norm": 6.887962341308594,
|
| 290 |
"learning_rate": 6.8359375e-06,
|
| 291 |
+
"loss": 0.1307,
|
| 292 |
"step": 250
|
| 293 |
},
|
| 294 |
{
|
| 295 |
"epoch": 12.987012987012987,
|
| 296 |
+
"eval_accuracy": 0.8970588235294118,
|
| 297 |
+
"eval_loss": 0.3330402374267578,
|
| 298 |
+
"eval_runtime": 29.009,
|
| 299 |
+
"eval_samples_per_second": 4.688,
|
| 300 |
+
"eval_steps_per_second": 0.31,
|
| 301 |
"step": 250
|
| 302 |
},
|
| 303 |
{
|
| 304 |
"epoch": 13.506493506493506,
|
| 305 |
+
"grad_norm": 7.4578070640563965,
|
| 306 |
"learning_rate": 4.8828125e-06,
|
| 307 |
+
"loss": 0.1425,
|
| 308 |
"step": 260
|
| 309 |
},
|
| 310 |
{
|
| 311 |
"epoch": 13.974025974025974,
|
| 312 |
+
"eval_accuracy": 0.9117647058823529,
|
| 313 |
+
"eval_loss": 0.34208229184150696,
|
| 314 |
+
"eval_runtime": 28.868,
|
| 315 |
+
"eval_samples_per_second": 4.711,
|
| 316 |
+
"eval_steps_per_second": 0.312,
|
| 317 |
"step": 269
|
| 318 |
},
|
| 319 |
{
|
| 320 |
"epoch": 14.025974025974026,
|
| 321 |
+
"grad_norm": 13.509991645812988,
|
| 322 |
"learning_rate": 2.9296875e-06,
|
| 323 |
+
"loss": 0.1368,
|
| 324 |
"step": 270
|
| 325 |
},
|
| 326 |
{
|
| 327 |
"epoch": 14.545454545454545,
|
| 328 |
+
"grad_norm": 9.896185874938965,
|
| 329 |
"learning_rate": 9.765625e-07,
|
| 330 |
+
"loss": 0.141,
|
| 331 |
"step": 280
|
| 332 |
},
|
| 333 |
{
|
| 334 |
"epoch": 14.805194805194805,
|
| 335 |
+
"eval_accuracy": 0.9117647058823529,
|
| 336 |
+
"eval_loss": 0.3409328758716583,
|
| 337 |
+
"eval_runtime": 28.479,
|
| 338 |
+
"eval_samples_per_second": 4.775,
|
| 339 |
+
"eval_steps_per_second": 0.316,
|
| 340 |
"step": 285
|
| 341 |
},
|
| 342 |
{
|
| 343 |
"epoch": 14.805194805194805,
|
| 344 |
"step": 285,
|
| 345 |
"total_flos": 9.04681758989353e+16,
|
| 346 |
+
"train_loss": 0.2430994153022766,
|
| 347 |
+
"train_runtime": 4010.606,
|
| 348 |
+
"train_samples_per_second": 4.578,
|
| 349 |
+
"train_steps_per_second": 0.071
|
| 350 |
}
|
| 351 |
],
|
| 352 |
"logging_steps": 10,
|