End of training
Browse files- README.md +3 -1
- all_results.json +9 -9
- eval_results.json +5 -5
- runs/Nov19_22-41-36_ip-10-90-1-182/events.out.tfevents.1732056245.ip-10-90-1-182.3353433.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +455 -455
README.md
CHANGED
|
@@ -3,6 +3,8 @@ library_name: transformers
|
|
| 3 |
license: apache-2.0
|
| 4 |
base_model: timm/resnet18.a1_in1k
|
| 5 |
tags:
|
|
|
|
|
|
|
| 6 |
- generated_from_trainer
|
| 7 |
metrics:
|
| 8 |
- accuracy
|
|
@@ -16,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 16 |
|
| 17 |
# vit-base-beans
|
| 18 |
|
| 19 |
-
This model is a fine-tuned version of [timm/resnet18.a1_in1k](https://huggingface.co/timm/resnet18.a1_in1k) on
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
- Loss: 0.7412
|
| 22 |
- Accuracy: 0.8120
|
|
|
|
| 3 |
license: apache-2.0
|
| 4 |
base_model: timm/resnet18.a1_in1k
|
| 5 |
tags:
|
| 6 |
+
- image-classification
|
| 7 |
+
- vision
|
| 8 |
- generated_from_trainer
|
| 9 |
metrics:
|
| 10 |
- accuracy
|
|
|
|
| 18 |
|
| 19 |
# vit-base-beans
|
| 20 |
|
| 21 |
+
This model is a fine-tuned version of [timm/resnet18.a1_in1k](https://huggingface.co/timm/resnet18.a1_in1k) on the beans dataset.
|
| 22 |
It achieves the following results on the evaluation set:
|
| 23 |
- Loss: 0.7412
|
| 24 |
- Accuracy: 0.8120
|
all_results.json
CHANGED
|
@@ -1,13 +1,13 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 15.0,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_loss":
|
| 5 |
-
"eval_runtime": 0.
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
"total_flos": 1.5658365504595968e+17,
|
| 9 |
-
"train_loss": 0.
|
| 10 |
-
"train_runtime":
|
| 11 |
-
"train_samples_per_second":
|
| 12 |
-
"train_steps_per_second":
|
| 13 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 15.0,
|
| 3 |
+
"eval_accuracy": 0.8120300751879699,
|
| 4 |
+
"eval_loss": 0.7412300109863281,
|
| 5 |
+
"eval_runtime": 0.7631,
|
| 6 |
+
"eval_samples_per_second": 174.289,
|
| 7 |
+
"eval_steps_per_second": 22.278,
|
| 8 |
"total_flos": 1.5658365504595968e+17,
|
| 9 |
+
"train_loss": 0.9236146088135548,
|
| 10 |
+
"train_runtime": 142.953,
|
| 11 |
+
"train_samples_per_second": 108.497,
|
| 12 |
+
"train_steps_per_second": 13.641
|
| 13 |
}
|
eval_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 15.0,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_loss":
|
| 5 |
-
"eval_runtime": 0.
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 15.0,
|
| 3 |
+
"eval_accuracy": 0.8120300751879699,
|
| 4 |
+
"eval_loss": 0.7412300109863281,
|
| 5 |
+
"eval_runtime": 0.7631,
|
| 6 |
+
"eval_samples_per_second": 174.289,
|
| 7 |
+
"eval_steps_per_second": 22.278
|
| 8 |
}
|
runs/Nov19_22-41-36_ip-10-90-1-182/events.out.tfevents.1732056245.ip-10-90-1-182.3353433.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:52a138c5c6c4abe6b692847b5659e465f472b55c50418466ebd24a00a9f14a8d
|
| 3 |
+
size 411
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 15.0,
|
| 3 |
"total_flos": 1.5658365504595968e+17,
|
| 4 |
-
"train_loss": 0.
|
| 5 |
-
"train_runtime":
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 15.0,
|
| 3 |
"total_flos": 1.5658365504595968e+17,
|
| 4 |
+
"train_loss": 0.9236146088135548,
|
| 5 |
+
"train_runtime": 142.953,
|
| 6 |
+
"train_samples_per_second": 108.497,
|
| 7 |
+
"train_steps_per_second": 13.641
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
"best_model_checkpoint": "./beans_outputs/checkpoint-1950",
|
| 4 |
"epoch": 15.0,
|
| 5 |
"eval_steps": 500,
|
|
@@ -10,1512 +10,1512 @@
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.07692307692307693,
|
| 13 |
-
"grad_norm": 2.
|
| 14 |
"learning_rate": 1.98974358974359e-05,
|
| 15 |
"loss": 1.1239,
|
| 16 |
"step": 10
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.15384615384615385,
|
| 20 |
-
"grad_norm": 1.
|
| 21 |
"learning_rate": 1.9794871794871798e-05,
|
| 22 |
"loss": 1.1221,
|
| 23 |
"step": 20
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 0.23076923076923078,
|
| 27 |
-
"grad_norm":
|
| 28 |
"learning_rate": 1.9692307692307696e-05,
|
| 29 |
"loss": 1.1164,
|
| 30 |
"step": 30
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 0.3076923076923077,
|
| 34 |
-
"grad_norm": 2.
|
| 35 |
"learning_rate": 1.958974358974359e-05,
|
| 36 |
-
"loss": 1.
|
| 37 |
"step": 40
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 0.38461538461538464,
|
| 41 |
-
"grad_norm": 1.
|
| 42 |
"learning_rate": 1.9487179487179488e-05,
|
| 43 |
-
"loss": 1.
|
| 44 |
"step": 50
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.46153846153846156,
|
| 48 |
-
"grad_norm": 1.
|
| 49 |
"learning_rate": 1.9384615384615386e-05,
|
| 50 |
-
"loss": 1.
|
| 51 |
"step": 60
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 0.5384615384615384,
|
| 55 |
-
"grad_norm": 2.
|
| 56 |
"learning_rate": 1.9282051282051284e-05,
|
| 57 |
-
"loss": 1.
|
| 58 |
"step": 70
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"epoch": 0.6153846153846154,
|
| 62 |
-
"grad_norm": 2.
|
| 63 |
"learning_rate": 1.9179487179487182e-05,
|
| 64 |
"loss": 1.0908,
|
| 65 |
"step": 80
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"epoch": 0.6923076923076923,
|
| 69 |
-
"grad_norm": 2.
|
| 70 |
"learning_rate": 1.907692307692308e-05,
|
| 71 |
-
"loss": 1.
|
| 72 |
"step": 90
|
| 73 |
},
|
| 74 |
{
|
| 75 |
"epoch": 0.7692307692307693,
|
| 76 |
-
"grad_norm": 2.
|
| 77 |
"learning_rate": 1.8974358974358975e-05,
|
| 78 |
-
"loss": 1.
|
| 79 |
"step": 100
|
| 80 |
},
|
| 81 |
{
|
| 82 |
"epoch": 0.8461538461538461,
|
| 83 |
-
"grad_norm": 1.
|
| 84 |
"learning_rate": 1.8871794871794873e-05,
|
| 85 |
-
"loss": 1.
|
| 86 |
"step": 110
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 0.9230769230769231,
|
| 90 |
-
"grad_norm": 2.
|
| 91 |
"learning_rate": 1.876923076923077e-05,
|
| 92 |
-
"loss": 1.
|
| 93 |
"step": 120
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"epoch": 1.0,
|
| 97 |
-
"grad_norm":
|
| 98 |
"learning_rate": 1.866666666666667e-05,
|
| 99 |
-
"loss": 1.
|
| 100 |
"step": 130
|
| 101 |
},
|
| 102 |
{
|
| 103 |
"epoch": 1.0,
|
| 104 |
"eval_accuracy": 0.42857142857142855,
|
| 105 |
-
"eval_loss": 1.
|
| 106 |
-
"eval_runtime": 0.
|
| 107 |
-
"eval_samples_per_second":
|
| 108 |
-
"eval_steps_per_second": 21.
|
| 109 |
"step": 130
|
| 110 |
},
|
| 111 |
{
|
| 112 |
"epoch": 1.0769230769230769,
|
| 113 |
-
"grad_norm": 2.
|
| 114 |
"learning_rate": 1.8564102564102567e-05,
|
| 115 |
-
"loss": 1.
|
| 116 |
"step": 140
|
| 117 |
},
|
| 118 |
{
|
| 119 |
"epoch": 1.1538461538461537,
|
| 120 |
-
"grad_norm": 2.
|
| 121 |
"learning_rate": 1.8461538461538465e-05,
|
| 122 |
-
"loss": 1.
|
| 123 |
"step": 150
|
| 124 |
},
|
| 125 |
{
|
| 126 |
"epoch": 1.2307692307692308,
|
| 127 |
-
"grad_norm": 1.
|
| 128 |
"learning_rate": 1.835897435897436e-05,
|
| 129 |
-
"loss": 1.
|
| 130 |
"step": 160
|
| 131 |
},
|
| 132 |
{
|
| 133 |
"epoch": 1.3076923076923077,
|
| 134 |
-
"grad_norm": 2.
|
| 135 |
"learning_rate": 1.8256410256410257e-05,
|
| 136 |
-
"loss": 1.
|
| 137 |
"step": 170
|
| 138 |
},
|
| 139 |
{
|
| 140 |
"epoch": 1.3846153846153846,
|
| 141 |
-
"grad_norm": 2.
|
| 142 |
"learning_rate": 1.8153846153846155e-05,
|
| 143 |
-
"loss": 1.
|
| 144 |
"step": 180
|
| 145 |
},
|
| 146 |
{
|
| 147 |
"epoch": 1.4615384615384617,
|
| 148 |
-
"grad_norm": 2.
|
| 149 |
"learning_rate": 1.8051282051282053e-05,
|
| 150 |
-
"loss": 1.
|
| 151 |
"step": 190
|
| 152 |
},
|
| 153 |
{
|
| 154 |
"epoch": 1.5384615384615383,
|
| 155 |
-
"grad_norm": 1.
|
| 156 |
"learning_rate": 1.794871794871795e-05,
|
| 157 |
-
"loss": 1.
|
| 158 |
"step": 200
|
| 159 |
},
|
| 160 |
{
|
| 161 |
"epoch": 1.6153846153846154,
|
| 162 |
-
"grad_norm": 1.
|
| 163 |
"learning_rate": 1.784615384615385e-05,
|
| 164 |
-
"loss": 1.
|
| 165 |
"step": 210
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 1.6923076923076923,
|
| 169 |
-
"grad_norm": 3.
|
| 170 |
"learning_rate": 1.7743589743589744e-05,
|
| 171 |
-
"loss": 1.
|
| 172 |
"step": 220
|
| 173 |
},
|
| 174 |
{
|
| 175 |
"epoch": 1.7692307692307692,
|
| 176 |
-
"grad_norm": 2.
|
| 177 |
"learning_rate": 1.7641025641025642e-05,
|
| 178 |
-
"loss": 1.
|
| 179 |
"step": 230
|
| 180 |
},
|
| 181 |
{
|
| 182 |
"epoch": 1.8461538461538463,
|
| 183 |
-
"grad_norm": 1.
|
| 184 |
"learning_rate": 1.753846153846154e-05,
|
| 185 |
-
"loss": 1.
|
| 186 |
"step": 240
|
| 187 |
},
|
| 188 |
{
|
| 189 |
"epoch": 1.9230769230769231,
|
| 190 |
-
"grad_norm":
|
| 191 |
"learning_rate": 1.7435897435897438e-05,
|
| 192 |
-
"loss": 1.
|
| 193 |
"step": 250
|
| 194 |
},
|
| 195 |
{
|
| 196 |
"epoch": 2.0,
|
| 197 |
-
"grad_norm": 3.
|
| 198 |
"learning_rate": 1.7333333333333336e-05,
|
| 199 |
-
"loss": 1.
|
| 200 |
"step": 260
|
| 201 |
},
|
| 202 |
{
|
| 203 |
"epoch": 2.0,
|
| 204 |
-
"eval_accuracy": 0.
|
| 205 |
-
"eval_loss": 1.
|
| 206 |
-
"eval_runtime": 0.
|
| 207 |
-
"eval_samples_per_second":
|
| 208 |
-
"eval_steps_per_second": 22.
|
| 209 |
"step": 260
|
| 210 |
},
|
| 211 |
{
|
| 212 |
"epoch": 2.076923076923077,
|
| 213 |
-
"grad_norm":
|
| 214 |
"learning_rate": 1.7230769230769234e-05,
|
| 215 |
-
"loss": 1.
|
| 216 |
"step": 270
|
| 217 |
},
|
| 218 |
{
|
| 219 |
"epoch": 2.1538461538461537,
|
| 220 |
-
"grad_norm": 2.
|
| 221 |
"learning_rate": 1.7128205128205128e-05,
|
| 222 |
-
"loss": 1.
|
| 223 |
"step": 280
|
| 224 |
},
|
| 225 |
{
|
| 226 |
"epoch": 2.230769230769231,
|
| 227 |
-
"grad_norm": 2.
|
| 228 |
"learning_rate": 1.7025641025641026e-05,
|
| 229 |
-
"loss": 1.
|
| 230 |
"step": 290
|
| 231 |
},
|
| 232 |
{
|
| 233 |
"epoch": 2.3076923076923075,
|
| 234 |
-
"grad_norm":
|
| 235 |
"learning_rate": 1.6923076923076924e-05,
|
| 236 |
-
"loss": 1.
|
| 237 |
"step": 300
|
| 238 |
},
|
| 239 |
{
|
| 240 |
"epoch": 2.3846153846153846,
|
| 241 |
-
"grad_norm": 1.
|
| 242 |
"learning_rate": 1.6820512820512822e-05,
|
| 243 |
-
"loss": 1.
|
| 244 |
"step": 310
|
| 245 |
},
|
| 246 |
{
|
| 247 |
"epoch": 2.4615384615384617,
|
| 248 |
-
"grad_norm": 1.
|
| 249 |
"learning_rate": 1.671794871794872e-05,
|
| 250 |
-
"loss": 1.
|
| 251 |
"step": 320
|
| 252 |
},
|
| 253 |
{
|
| 254 |
"epoch": 2.5384615384615383,
|
| 255 |
-
"grad_norm": 1.
|
| 256 |
"learning_rate": 1.6615384615384618e-05,
|
| 257 |
-
"loss": 1.
|
| 258 |
"step": 330
|
| 259 |
},
|
| 260 |
{
|
| 261 |
"epoch": 2.6153846153846154,
|
| 262 |
-
"grad_norm": 2.
|
| 263 |
"learning_rate": 1.6512820512820513e-05,
|
| 264 |
-
"loss": 1.
|
| 265 |
"step": 340
|
| 266 |
},
|
| 267 |
{
|
| 268 |
"epoch": 2.6923076923076925,
|
| 269 |
-
"grad_norm":
|
| 270 |
"learning_rate": 1.641025641025641e-05,
|
| 271 |
-
"loss": 1.
|
| 272 |
"step": 350
|
| 273 |
},
|
| 274 |
{
|
| 275 |
"epoch": 2.769230769230769,
|
| 276 |
-
"grad_norm": 1.
|
| 277 |
"learning_rate": 1.630769230769231e-05,
|
| 278 |
"loss": 1.0407,
|
| 279 |
"step": 360
|
| 280 |
},
|
| 281 |
{
|
| 282 |
"epoch": 2.8461538461538463,
|
| 283 |
-
"grad_norm":
|
| 284 |
"learning_rate": 1.6205128205128207e-05,
|
| 285 |
-
"loss": 1.
|
| 286 |
"step": 370
|
| 287 |
},
|
| 288 |
{
|
| 289 |
"epoch": 2.9230769230769234,
|
| 290 |
-
"grad_norm": 1.
|
| 291 |
"learning_rate": 1.6102564102564105e-05,
|
| 292 |
-
"loss": 1.
|
| 293 |
"step": 380
|
| 294 |
},
|
| 295 |
{
|
| 296 |
"epoch": 3.0,
|
| 297 |
-
"grad_norm": 4.
|
| 298 |
"learning_rate": 1.6000000000000003e-05,
|
| 299 |
-
"loss": 1.
|
| 300 |
"step": 390
|
| 301 |
},
|
| 302 |
{
|
| 303 |
"epoch": 3.0,
|
| 304 |
-
"eval_accuracy": 0.
|
| 305 |
-
"eval_loss": 1.
|
| 306 |
-
"eval_runtime": 0.
|
| 307 |
-
"eval_samples_per_second":
|
| 308 |
-
"eval_steps_per_second": 22.
|
| 309 |
"step": 390
|
| 310 |
},
|
| 311 |
{
|
| 312 |
"epoch": 3.076923076923077,
|
| 313 |
-
"grad_norm": 2.
|
| 314 |
"learning_rate": 1.5897435897435897e-05,
|
| 315 |
-
"loss": 1.
|
| 316 |
"step": 400
|
| 317 |
},
|
| 318 |
{
|
| 319 |
"epoch": 3.1538461538461537,
|
| 320 |
-
"grad_norm":
|
| 321 |
"learning_rate": 1.5794871794871795e-05,
|
| 322 |
-
"loss": 1.
|
| 323 |
"step": 410
|
| 324 |
},
|
| 325 |
{
|
| 326 |
"epoch": 3.230769230769231,
|
| 327 |
-
"grad_norm": 2.
|
| 328 |
"learning_rate": 1.5692307692307693e-05,
|
| 329 |
-
"loss": 1.
|
| 330 |
"step": 420
|
| 331 |
},
|
| 332 |
{
|
| 333 |
"epoch": 3.3076923076923075,
|
| 334 |
-
"grad_norm": 2.
|
| 335 |
"learning_rate": 1.558974358974359e-05,
|
| 336 |
"loss": 1.0159,
|
| 337 |
"step": 430
|
| 338 |
},
|
| 339 |
{
|
| 340 |
"epoch": 3.3846153846153846,
|
| 341 |
-
"grad_norm": 2.
|
| 342 |
"learning_rate": 1.548717948717949e-05,
|
| 343 |
-
"loss": 1.
|
| 344 |
"step": 440
|
| 345 |
},
|
| 346 |
{
|
| 347 |
"epoch": 3.4615384615384617,
|
| 348 |
-
"grad_norm": 1.
|
| 349 |
"learning_rate": 1.5384615384615387e-05,
|
| 350 |
-
"loss": 1.
|
| 351 |
"step": 450
|
| 352 |
},
|
| 353 |
{
|
| 354 |
"epoch": 3.5384615384615383,
|
| 355 |
-
"grad_norm": 2.
|
| 356 |
"learning_rate": 1.5282051282051282e-05,
|
| 357 |
"loss": 1.0322,
|
| 358 |
"step": 460
|
| 359 |
},
|
| 360 |
{
|
| 361 |
"epoch": 3.6153846153846154,
|
| 362 |
-
"grad_norm": 1.
|
| 363 |
"learning_rate": 1.517948717948718e-05,
|
| 364 |
-
"loss": 1.
|
| 365 |
"step": 470
|
| 366 |
},
|
| 367 |
{
|
| 368 |
"epoch": 3.6923076923076925,
|
| 369 |
-
"grad_norm": 2.
|
| 370 |
"learning_rate": 1.5076923076923078e-05,
|
| 371 |
-
"loss": 1.
|
| 372 |
"step": 480
|
| 373 |
},
|
| 374 |
{
|
| 375 |
"epoch": 3.769230769230769,
|
| 376 |
-
"grad_norm": 1.
|
| 377 |
"learning_rate": 1.4974358974358976e-05,
|
| 378 |
-
"loss": 0.
|
| 379 |
"step": 490
|
| 380 |
},
|
| 381 |
{
|
| 382 |
"epoch": 3.8461538461538463,
|
| 383 |
-
"grad_norm": 1.
|
| 384 |
"learning_rate": 1.4871794871794874e-05,
|
| 385 |
-
"loss": 1.
|
| 386 |
"step": 500
|
| 387 |
},
|
| 388 |
{
|
| 389 |
"epoch": 3.9230769230769234,
|
| 390 |
-
"grad_norm": 1.
|
| 391 |
"learning_rate": 1.4769230769230772e-05,
|
| 392 |
-
"loss": 0.
|
| 393 |
"step": 510
|
| 394 |
},
|
| 395 |
{
|
| 396 |
"epoch": 4.0,
|
| 397 |
-
"grad_norm": 5.
|
| 398 |
"learning_rate": 1.4666666666666666e-05,
|
| 399 |
-
"loss": 1.
|
| 400 |
"step": 520
|
| 401 |
},
|
| 402 |
{
|
| 403 |
"epoch": 4.0,
|
| 404 |
-
"eval_accuracy": 0.
|
| 405 |
-
"eval_loss": 0.
|
| 406 |
-
"eval_runtime": 0.
|
| 407 |
-
"eval_samples_per_second": 174.
|
| 408 |
-
"eval_steps_per_second": 22.
|
| 409 |
"step": 520
|
| 410 |
},
|
| 411 |
{
|
| 412 |
"epoch": 4.076923076923077,
|
| 413 |
-
"grad_norm": 2.
|
| 414 |
"learning_rate": 1.4564102564102564e-05,
|
| 415 |
-
"loss": 1.
|
| 416 |
"step": 530
|
| 417 |
},
|
| 418 |
{
|
| 419 |
"epoch": 4.153846153846154,
|
| 420 |
-
"grad_norm": 1.
|
| 421 |
"learning_rate": 1.4461538461538462e-05,
|
| 422 |
-
"loss": 1.
|
| 423 |
"step": 540
|
| 424 |
},
|
| 425 |
{
|
| 426 |
"epoch": 4.230769230769231,
|
| 427 |
-
"grad_norm": 2.
|
| 428 |
"learning_rate": 1.435897435897436e-05,
|
| 429 |
-
"loss": 1.
|
| 430 |
"step": 550
|
| 431 |
},
|
| 432 |
{
|
| 433 |
"epoch": 4.3076923076923075,
|
| 434 |
-
"grad_norm": 2.
|
| 435 |
"learning_rate": 1.4256410256410258e-05,
|
| 436 |
-
"loss": 1.
|
| 437 |
"step": 560
|
| 438 |
},
|
| 439 |
{
|
| 440 |
"epoch": 4.384615384615385,
|
| 441 |
-
"grad_norm": 1.
|
| 442 |
"learning_rate": 1.4153846153846156e-05,
|
| 443 |
-
"loss": 0.
|
| 444 |
"step": 570
|
| 445 |
},
|
| 446 |
{
|
| 447 |
"epoch": 4.461538461538462,
|
| 448 |
-
"grad_norm": 2.
|
| 449 |
"learning_rate": 1.405128205128205e-05,
|
| 450 |
-
"loss": 0.
|
| 451 |
"step": 580
|
| 452 |
},
|
| 453 |
{
|
| 454 |
"epoch": 4.538461538461538,
|
| 455 |
-
"grad_norm": 2.
|
| 456 |
"learning_rate": 1.3948717948717949e-05,
|
| 457 |
-
"loss": 0.
|
| 458 |
"step": 590
|
| 459 |
},
|
| 460 |
{
|
| 461 |
"epoch": 4.615384615384615,
|
| 462 |
-
"grad_norm": 1.
|
| 463 |
"learning_rate": 1.3846153846153847e-05,
|
| 464 |
-
"loss": 0.
|
| 465 |
"step": 600
|
| 466 |
},
|
| 467 |
{
|
| 468 |
"epoch": 4.6923076923076925,
|
| 469 |
-
"grad_norm": 3.
|
| 470 |
"learning_rate": 1.3743589743589745e-05,
|
| 471 |
-
"loss":
|
| 472 |
"step": 610
|
| 473 |
},
|
| 474 |
{
|
| 475 |
"epoch": 4.769230769230769,
|
| 476 |
-
"grad_norm": 2.
|
| 477 |
"learning_rate": 1.3641025641025643e-05,
|
| 478 |
-
"loss": 1.
|
| 479 |
"step": 620
|
| 480 |
},
|
| 481 |
{
|
| 482 |
"epoch": 4.846153846153846,
|
| 483 |
-
"grad_norm": 1.
|
| 484 |
"learning_rate": 1.353846153846154e-05,
|
| 485 |
-
"loss": 0.
|
| 486 |
"step": 630
|
| 487 |
},
|
| 488 |
{
|
| 489 |
"epoch": 4.923076923076923,
|
| 490 |
-
"grad_norm": 2.
|
| 491 |
"learning_rate": 1.3435897435897435e-05,
|
| 492 |
-
"loss": 0.
|
| 493 |
"step": 640
|
| 494 |
},
|
| 495 |
{
|
| 496 |
"epoch": 5.0,
|
| 497 |
-
"grad_norm": 4.
|
| 498 |
"learning_rate": 1.3333333333333333e-05,
|
| 499 |
-
"loss": 1.
|
| 500 |
"step": 650
|
| 501 |
},
|
| 502 |
{
|
| 503 |
"epoch": 5.0,
|
| 504 |
-
"eval_accuracy": 0.
|
| 505 |
-
"eval_loss": 0.
|
| 506 |
-
"eval_runtime": 0.
|
| 507 |
-
"eval_samples_per_second":
|
| 508 |
-
"eval_steps_per_second": 22.
|
| 509 |
"step": 650
|
| 510 |
},
|
| 511 |
{
|
| 512 |
"epoch": 5.076923076923077,
|
| 513 |
-
"grad_norm": 2.
|
| 514 |
"learning_rate": 1.3230769230769231e-05,
|
| 515 |
-
"loss": 0.
|
| 516 |
"step": 660
|
| 517 |
},
|
| 518 |
{
|
| 519 |
"epoch": 5.153846153846154,
|
| 520 |
-
"grad_norm": 2.
|
| 521 |
"learning_rate": 1.312820512820513e-05,
|
| 522 |
-
"loss": 1.
|
| 523 |
"step": 670
|
| 524 |
},
|
| 525 |
{
|
| 526 |
"epoch": 5.230769230769231,
|
| 527 |
-
"grad_norm": 2.
|
| 528 |
"learning_rate": 1.3025641025641027e-05,
|
| 529 |
-
"loss": 0.
|
| 530 |
"step": 680
|
| 531 |
},
|
| 532 |
{
|
| 533 |
"epoch": 5.3076923076923075,
|
| 534 |
-
"grad_norm": 2.
|
| 535 |
"learning_rate": 1.2923076923076925e-05,
|
| 536 |
-
"loss": 0.
|
| 537 |
"step": 690
|
| 538 |
},
|
| 539 |
{
|
| 540 |
"epoch": 5.384615384615385,
|
| 541 |
-
"grad_norm": 2.
|
| 542 |
"learning_rate": 1.2820512820512823e-05,
|
| 543 |
-
"loss": 0.
|
| 544 |
"step": 700
|
| 545 |
},
|
| 546 |
{
|
| 547 |
"epoch": 5.461538461538462,
|
| 548 |
-
"grad_norm":
|
| 549 |
"learning_rate": 1.2717948717948718e-05,
|
| 550 |
-
"loss": 0.
|
| 551 |
"step": 710
|
| 552 |
},
|
| 553 |
{
|
| 554 |
"epoch": 5.538461538461538,
|
| 555 |
-
"grad_norm": 1.
|
| 556 |
"learning_rate": 1.2615384615384616e-05,
|
| 557 |
-
"loss": 0.
|
| 558 |
"step": 720
|
| 559 |
},
|
| 560 |
{
|
| 561 |
"epoch": 5.615384615384615,
|
| 562 |
-
"grad_norm": 2.
|
| 563 |
"learning_rate": 1.2512820512820514e-05,
|
| 564 |
-
"loss": 0.
|
| 565 |
"step": 730
|
| 566 |
},
|
| 567 |
{
|
| 568 |
"epoch": 5.6923076923076925,
|
| 569 |
-
"grad_norm": 2.
|
| 570 |
"learning_rate": 1.2410256410256412e-05,
|
| 571 |
-
"loss": 0.
|
| 572 |
"step": 740
|
| 573 |
},
|
| 574 |
{
|
| 575 |
"epoch": 5.769230769230769,
|
| 576 |
-
"grad_norm": 2.
|
| 577 |
"learning_rate": 1.230769230769231e-05,
|
| 578 |
-
"loss": 0.
|
| 579 |
"step": 750
|
| 580 |
},
|
| 581 |
{
|
| 582 |
"epoch": 5.846153846153846,
|
| 583 |
-
"grad_norm": 2.
|
| 584 |
"learning_rate": 1.2205128205128208e-05,
|
| 585 |
-
"loss": 0.
|
| 586 |
"step": 760
|
| 587 |
},
|
| 588 |
{
|
| 589 |
"epoch": 5.923076923076923,
|
| 590 |
-
"grad_norm": 3.
|
| 591 |
"learning_rate": 1.2102564102564102e-05,
|
| 592 |
-
"loss": 0.
|
| 593 |
"step": 770
|
| 594 |
},
|
| 595 |
{
|
| 596 |
"epoch": 6.0,
|
| 597 |
-
"grad_norm": 4.
|
| 598 |
"learning_rate": 1.2e-05,
|
| 599 |
-
"loss": 0.
|
| 600 |
"step": 780
|
| 601 |
},
|
| 602 |
{
|
| 603 |
"epoch": 6.0,
|
| 604 |
-
"eval_accuracy": 0.
|
| 605 |
-
"eval_loss": 0.
|
| 606 |
-
"eval_runtime": 0.
|
| 607 |
-
"eval_samples_per_second":
|
| 608 |
-
"eval_steps_per_second":
|
| 609 |
"step": 780
|
| 610 |
},
|
| 611 |
{
|
| 612 |
"epoch": 6.076923076923077,
|
| 613 |
-
"grad_norm": 2.
|
| 614 |
"learning_rate": 1.1897435897435898e-05,
|
| 615 |
-
"loss": 0.
|
| 616 |
"step": 790
|
| 617 |
},
|
| 618 |
{
|
| 619 |
"epoch": 6.153846153846154,
|
| 620 |
-
"grad_norm": 2.
|
| 621 |
"learning_rate": 1.1794871794871796e-05,
|
| 622 |
-
"loss": 0.
|
| 623 |
"step": 800
|
| 624 |
},
|
| 625 |
{
|
| 626 |
"epoch": 6.230769230769231,
|
| 627 |
-
"grad_norm": 1.
|
| 628 |
"learning_rate": 1.1692307692307694e-05,
|
| 629 |
-
"loss": 0.
|
| 630 |
"step": 810
|
| 631 |
},
|
| 632 |
{
|
| 633 |
"epoch": 6.3076923076923075,
|
| 634 |
-
"grad_norm": 2.
|
| 635 |
"learning_rate": 1.1589743589743592e-05,
|
| 636 |
-
"loss": 0.
|
| 637 |
"step": 820
|
| 638 |
},
|
| 639 |
{
|
| 640 |
"epoch": 6.384615384615385,
|
| 641 |
-
"grad_norm": 2.
|
| 642 |
"learning_rate": 1.1487179487179487e-05,
|
| 643 |
-
"loss": 0.
|
| 644 |
"step": 830
|
| 645 |
},
|
| 646 |
{
|
| 647 |
"epoch": 6.461538461538462,
|
| 648 |
-
"grad_norm": 3.
|
| 649 |
"learning_rate": 1.1384615384615385e-05,
|
| 650 |
-
"loss": 0.
|
| 651 |
"step": 840
|
| 652 |
},
|
| 653 |
{
|
| 654 |
"epoch": 6.538461538461538,
|
| 655 |
-
"grad_norm": 2.
|
| 656 |
"learning_rate": 1.1282051282051283e-05,
|
| 657 |
-
"loss": 0.
|
| 658 |
"step": 850
|
| 659 |
},
|
| 660 |
{
|
| 661 |
"epoch": 6.615384615384615,
|
| 662 |
-
"grad_norm": 1.
|
| 663 |
"learning_rate": 1.117948717948718e-05,
|
| 664 |
-
"loss": 0.
|
| 665 |
"step": 860
|
| 666 |
},
|
| 667 |
{
|
| 668 |
"epoch": 6.6923076923076925,
|
| 669 |
-
"grad_norm": 2.
|
| 670 |
"learning_rate": 1.1076923076923079e-05,
|
| 671 |
-
"loss": 0.
|
| 672 |
"step": 870
|
| 673 |
},
|
| 674 |
{
|
| 675 |
"epoch": 6.769230769230769,
|
| 676 |
-
"grad_norm": 2.
|
| 677 |
"learning_rate": 1.0974358974358977e-05,
|
| 678 |
-
"loss": 0.
|
| 679 |
"step": 880
|
| 680 |
},
|
| 681 |
{
|
| 682 |
"epoch": 6.846153846153846,
|
| 683 |
-
"grad_norm": 2.
|
| 684 |
"learning_rate": 1.0871794871794871e-05,
|
| 685 |
-
"loss": 0.
|
| 686 |
"step": 890
|
| 687 |
},
|
| 688 |
{
|
| 689 |
"epoch": 6.923076923076923,
|
| 690 |
-
"grad_norm": 3.
|
| 691 |
"learning_rate": 1.076923076923077e-05,
|
| 692 |
-
"loss": 0.
|
| 693 |
"step": 900
|
| 694 |
},
|
| 695 |
{
|
| 696 |
"epoch": 7.0,
|
| 697 |
-
"grad_norm": 4.
|
| 698 |
"learning_rate": 1.0666666666666667e-05,
|
| 699 |
-
"loss": 0.
|
| 700 |
"step": 910
|
| 701 |
},
|
| 702 |
{
|
| 703 |
"epoch": 7.0,
|
| 704 |
-
"eval_accuracy": 0.
|
| 705 |
-
"eval_loss": 0.
|
| 706 |
-
"eval_runtime": 0.
|
| 707 |
-
"eval_samples_per_second":
|
| 708 |
-
"eval_steps_per_second":
|
| 709 |
"step": 910
|
| 710 |
},
|
| 711 |
{
|
| 712 |
"epoch": 7.076923076923077,
|
| 713 |
-
"grad_norm": 2.
|
| 714 |
"learning_rate": 1.0564102564102565e-05,
|
| 715 |
-
"loss": 0.
|
| 716 |
"step": 920
|
| 717 |
},
|
| 718 |
{
|
| 719 |
"epoch": 7.153846153846154,
|
| 720 |
-
"grad_norm": 3.
|
| 721 |
"learning_rate": 1.0461538461538463e-05,
|
| 722 |
-
"loss": 0.
|
| 723 |
"step": 930
|
| 724 |
},
|
| 725 |
{
|
| 726 |
"epoch": 7.230769230769231,
|
| 727 |
-
"grad_norm": 3.
|
| 728 |
"learning_rate": 1.0358974358974361e-05,
|
| 729 |
-
"loss": 0.
|
| 730 |
"step": 940
|
| 731 |
},
|
| 732 |
{
|
| 733 |
"epoch": 7.3076923076923075,
|
| 734 |
-
"grad_norm": 2.
|
| 735 |
"learning_rate": 1.0256410256410256e-05,
|
| 736 |
-
"loss": 0.
|
| 737 |
"step": 950
|
| 738 |
},
|
| 739 |
{
|
| 740 |
"epoch": 7.384615384615385,
|
| 741 |
-
"grad_norm": 2.
|
| 742 |
"learning_rate": 1.0153846153846154e-05,
|
| 743 |
-
"loss": 0.
|
| 744 |
"step": 960
|
| 745 |
},
|
| 746 |
{
|
| 747 |
"epoch": 7.461538461538462,
|
| 748 |
-
"grad_norm": 2.
|
| 749 |
"learning_rate": 1.0051282051282052e-05,
|
| 750 |
-
"loss": 0.
|
| 751 |
"step": 970
|
| 752 |
},
|
| 753 |
{
|
| 754 |
"epoch": 7.538461538461538,
|
| 755 |
-
"grad_norm": 2.
|
| 756 |
"learning_rate": 9.94871794871795e-06,
|
| 757 |
-
"loss": 0.
|
| 758 |
"step": 980
|
| 759 |
},
|
| 760 |
{
|
| 761 |
"epoch": 7.615384615384615,
|
| 762 |
-
"grad_norm": 2.
|
| 763 |
"learning_rate": 9.846153846153848e-06,
|
| 764 |
-
"loss": 0.
|
| 765 |
"step": 990
|
| 766 |
},
|
| 767 |
{
|
| 768 |
"epoch": 7.6923076923076925,
|
| 769 |
-
"grad_norm": 2.
|
| 770 |
"learning_rate": 9.743589743589744e-06,
|
| 771 |
-
"loss": 0.
|
| 772 |
"step": 1000
|
| 773 |
},
|
| 774 |
{
|
| 775 |
"epoch": 7.769230769230769,
|
| 776 |
-
"grad_norm": 2.
|
| 777 |
"learning_rate": 9.641025641025642e-06,
|
| 778 |
-
"loss": 0.
|
| 779 |
"step": 1010
|
| 780 |
},
|
| 781 |
{
|
| 782 |
"epoch": 7.846153846153846,
|
| 783 |
-
"grad_norm": 2.
|
| 784 |
"learning_rate": 9.53846153846154e-06,
|
| 785 |
-
"loss": 0.
|
| 786 |
"step": 1020
|
| 787 |
},
|
| 788 |
{
|
| 789 |
"epoch": 7.923076923076923,
|
| 790 |
-
"grad_norm": 2.
|
| 791 |
"learning_rate": 9.435897435897436e-06,
|
| 792 |
-
"loss": 0.
|
| 793 |
"step": 1030
|
| 794 |
},
|
| 795 |
{
|
| 796 |
"epoch": 8.0,
|
| 797 |
-
"grad_norm": 4.
|
| 798 |
"learning_rate": 9.333333333333334e-06,
|
| 799 |
-
"loss": 0.
|
| 800 |
"step": 1040
|
| 801 |
},
|
| 802 |
{
|
| 803 |
"epoch": 8.0,
|
| 804 |
"eval_accuracy": 0.8120300751879699,
|
| 805 |
-
"eval_loss": 0.
|
| 806 |
-
"eval_runtime": 0.
|
| 807 |
-
"eval_samples_per_second":
|
| 808 |
-
"eval_steps_per_second": 22.
|
| 809 |
"step": 1040
|
| 810 |
},
|
| 811 |
{
|
| 812 |
"epoch": 8.076923076923077,
|
| 813 |
-
"grad_norm":
|
| 814 |
"learning_rate": 9.230769230769232e-06,
|
| 815 |
-
"loss": 0.
|
| 816 |
"step": 1050
|
| 817 |
},
|
| 818 |
{
|
| 819 |
"epoch": 8.153846153846153,
|
| 820 |
-
"grad_norm": 2.
|
| 821 |
"learning_rate": 9.128205128205129e-06,
|
| 822 |
-
"loss": 0.
|
| 823 |
"step": 1060
|
| 824 |
},
|
| 825 |
{
|
| 826 |
"epoch": 8.23076923076923,
|
| 827 |
-
"grad_norm": 2.
|
| 828 |
"learning_rate": 9.025641025641027e-06,
|
| 829 |
-
"loss": 0.
|
| 830 |
"step": 1070
|
| 831 |
},
|
| 832 |
{
|
| 833 |
"epoch": 8.307692307692308,
|
| 834 |
-
"grad_norm":
|
| 835 |
"learning_rate": 8.923076923076925e-06,
|
| 836 |
-
"loss": 0.
|
| 837 |
"step": 1080
|
| 838 |
},
|
| 839 |
{
|
| 840 |
"epoch": 8.384615384615385,
|
| 841 |
-
"grad_norm": 2.
|
| 842 |
"learning_rate": 8.820512820512821e-06,
|
| 843 |
-
"loss": 0.
|
| 844 |
"step": 1090
|
| 845 |
},
|
| 846 |
{
|
| 847 |
"epoch": 8.461538461538462,
|
| 848 |
-
"grad_norm": 2.
|
| 849 |
"learning_rate": 8.717948717948719e-06,
|
| 850 |
-
"loss": 0.
|
| 851 |
"step": 1100
|
| 852 |
},
|
| 853 |
{
|
| 854 |
"epoch": 8.538461538461538,
|
| 855 |
-
"grad_norm": 1.
|
| 856 |
"learning_rate": 8.615384615384617e-06,
|
| 857 |
-
"loss": 0.
|
| 858 |
"step": 1110
|
| 859 |
},
|
| 860 |
{
|
| 861 |
"epoch": 8.615384615384615,
|
| 862 |
-
"grad_norm":
|
| 863 |
"learning_rate": 8.512820512820513e-06,
|
| 864 |
-
"loss": 0.
|
| 865 |
"step": 1120
|
| 866 |
},
|
| 867 |
{
|
| 868 |
"epoch": 8.692307692307692,
|
| 869 |
-
"grad_norm": 3.
|
| 870 |
"learning_rate": 8.410256410256411e-06,
|
| 871 |
-
"loss": 0.
|
| 872 |
"step": 1130
|
| 873 |
},
|
| 874 |
{
|
| 875 |
"epoch": 8.76923076923077,
|
| 876 |
-
"grad_norm":
|
| 877 |
"learning_rate": 8.307692307692309e-06,
|
| 878 |
-
"loss": 0.
|
| 879 |
"step": 1140
|
| 880 |
},
|
| 881 |
{
|
| 882 |
"epoch": 8.846153846153847,
|
| 883 |
-
"grad_norm": 2.
|
| 884 |
"learning_rate": 8.205128205128205e-06,
|
| 885 |
-
"loss": 0.
|
| 886 |
"step": 1150
|
| 887 |
},
|
| 888 |
{
|
| 889 |
"epoch": 8.923076923076923,
|
| 890 |
-
"grad_norm":
|
| 891 |
"learning_rate": 8.102564102564103e-06,
|
| 892 |
-
"loss": 0.
|
| 893 |
"step": 1160
|
| 894 |
},
|
| 895 |
{
|
| 896 |
"epoch": 9.0,
|
| 897 |
-
"grad_norm":
|
| 898 |
"learning_rate": 8.000000000000001e-06,
|
| 899 |
-
"loss": 0.
|
| 900 |
"step": 1170
|
| 901 |
},
|
| 902 |
{
|
| 903 |
"epoch": 9.0,
|
| 904 |
"eval_accuracy": 0.8045112781954887,
|
| 905 |
-
"eval_loss": 0.
|
| 906 |
-
"eval_runtime": 0.
|
| 907 |
-
"eval_samples_per_second":
|
| 908 |
-
"eval_steps_per_second":
|
| 909 |
"step": 1170
|
| 910 |
},
|
| 911 |
{
|
| 912 |
"epoch": 9.076923076923077,
|
| 913 |
-
"grad_norm": 1.
|
| 914 |
"learning_rate": 7.897435897435898e-06,
|
| 915 |
-
"loss": 0.
|
| 916 |
"step": 1180
|
| 917 |
},
|
| 918 |
{
|
| 919 |
"epoch": 9.153846153846153,
|
| 920 |
-
"grad_norm": 2.
|
| 921 |
"learning_rate": 7.794871794871796e-06,
|
| 922 |
-
"loss": 0.
|
| 923 |
"step": 1190
|
| 924 |
},
|
| 925 |
{
|
| 926 |
"epoch": 9.23076923076923,
|
| 927 |
-
"grad_norm": 2.
|
| 928 |
"learning_rate": 7.692307692307694e-06,
|
| 929 |
-
"loss": 0.
|
| 930 |
"step": 1200
|
| 931 |
},
|
| 932 |
{
|
| 933 |
"epoch": 9.307692307692308,
|
| 934 |
-
"grad_norm": 2.
|
| 935 |
"learning_rate": 7.58974358974359e-06,
|
| 936 |
-
"loss": 0.
|
| 937 |
"step": 1210
|
| 938 |
},
|
| 939 |
{
|
| 940 |
"epoch": 9.384615384615385,
|
| 941 |
-
"grad_norm":
|
| 942 |
"learning_rate": 7.487179487179488e-06,
|
| 943 |
-
"loss": 0.
|
| 944 |
"step": 1220
|
| 945 |
},
|
| 946 |
{
|
| 947 |
"epoch": 9.461538461538462,
|
| 948 |
-
"grad_norm": 3.
|
| 949 |
"learning_rate": 7.384615384615386e-06,
|
| 950 |
-
"loss": 0.
|
| 951 |
"step": 1230
|
| 952 |
},
|
| 953 |
{
|
| 954 |
"epoch": 9.538461538461538,
|
| 955 |
-
"grad_norm": 2.
|
| 956 |
"learning_rate": 7.282051282051282e-06,
|
| 957 |
-
"loss": 0.
|
| 958 |
"step": 1240
|
| 959 |
},
|
| 960 |
{
|
| 961 |
"epoch": 9.615384615384615,
|
| 962 |
-
"grad_norm":
|
| 963 |
"learning_rate": 7.17948717948718e-06,
|
| 964 |
-
"loss": 0.
|
| 965 |
"step": 1250
|
| 966 |
},
|
| 967 |
{
|
| 968 |
"epoch": 9.692307692307692,
|
| 969 |
-
"grad_norm": 2.
|
| 970 |
"learning_rate": 7.076923076923078e-06,
|
| 971 |
-
"loss": 0.
|
| 972 |
"step": 1260
|
| 973 |
},
|
| 974 |
{
|
| 975 |
"epoch": 9.76923076923077,
|
| 976 |
-
"grad_norm": 1.
|
| 977 |
"learning_rate": 6.974358974358974e-06,
|
| 978 |
-
"loss": 0.
|
| 979 |
"step": 1270
|
| 980 |
},
|
| 981 |
{
|
| 982 |
"epoch": 9.846153846153847,
|
| 983 |
-
"grad_norm": 2.
|
| 984 |
"learning_rate": 6.871794871794872e-06,
|
| 985 |
-
"loss": 0.
|
| 986 |
"step": 1280
|
| 987 |
},
|
| 988 |
{
|
| 989 |
"epoch": 9.923076923076923,
|
| 990 |
-
"grad_norm": 2.
|
| 991 |
"learning_rate": 6.76923076923077e-06,
|
| 992 |
-
"loss": 0.
|
| 993 |
"step": 1290
|
| 994 |
},
|
| 995 |
{
|
| 996 |
"epoch": 10.0,
|
| 997 |
-
"grad_norm":
|
| 998 |
"learning_rate": 6.666666666666667e-06,
|
| 999 |
-
"loss": 0.
|
| 1000 |
"step": 1300
|
| 1001 |
},
|
| 1002 |
{
|
| 1003 |
"epoch": 10.0,
|
| 1004 |
"eval_accuracy": 0.8421052631578947,
|
| 1005 |
-
"eval_loss": 0.
|
| 1006 |
-
"eval_runtime": 0.
|
| 1007 |
-
"eval_samples_per_second":
|
| 1008 |
-
"eval_steps_per_second": 22.
|
| 1009 |
"step": 1300
|
| 1010 |
},
|
| 1011 |
{
|
| 1012 |
"epoch": 10.076923076923077,
|
| 1013 |
-
"grad_norm": 2.
|
| 1014 |
"learning_rate": 6.564102564102565e-06,
|
| 1015 |
-
"loss": 0.
|
| 1016 |
"step": 1310
|
| 1017 |
},
|
| 1018 |
{
|
| 1019 |
"epoch": 10.153846153846153,
|
| 1020 |
-
"grad_norm": 2.
|
| 1021 |
"learning_rate": 6.461538461538463e-06,
|
| 1022 |
-
"loss": 0.
|
| 1023 |
"step": 1320
|
| 1024 |
},
|
| 1025 |
{
|
| 1026 |
"epoch": 10.23076923076923,
|
| 1027 |
-
"grad_norm": 2.
|
| 1028 |
"learning_rate": 6.358974358974359e-06,
|
| 1029 |
-
"loss": 0.
|
| 1030 |
"step": 1330
|
| 1031 |
},
|
| 1032 |
{
|
| 1033 |
"epoch": 10.307692307692308,
|
| 1034 |
-
"grad_norm": 2.
|
| 1035 |
"learning_rate": 6.256410256410257e-06,
|
| 1036 |
-
"loss": 0.
|
| 1037 |
"step": 1340
|
| 1038 |
},
|
| 1039 |
{
|
| 1040 |
"epoch": 10.384615384615385,
|
| 1041 |
-
"grad_norm": 2.
|
| 1042 |
"learning_rate": 6.153846153846155e-06,
|
| 1043 |
-
"loss": 0.
|
| 1044 |
"step": 1350
|
| 1045 |
},
|
| 1046 |
{
|
| 1047 |
"epoch": 10.461538461538462,
|
| 1048 |
-
"grad_norm": 2.
|
| 1049 |
"learning_rate": 6.051282051282051e-06,
|
| 1050 |
-
"loss": 0.
|
| 1051 |
"step": 1360
|
| 1052 |
},
|
| 1053 |
{
|
| 1054 |
"epoch": 10.538461538461538,
|
| 1055 |
-
"grad_norm": 2.
|
| 1056 |
"learning_rate": 5.948717948717949e-06,
|
| 1057 |
-
"loss": 0.
|
| 1058 |
"step": 1370
|
| 1059 |
},
|
| 1060 |
{
|
| 1061 |
"epoch": 10.615384615384615,
|
| 1062 |
-
"grad_norm":
|
| 1063 |
"learning_rate": 5.846153846153847e-06,
|
| 1064 |
-
"loss": 0.
|
| 1065 |
"step": 1380
|
| 1066 |
},
|
| 1067 |
{
|
| 1068 |
"epoch": 10.692307692307692,
|
| 1069 |
-
"grad_norm": 2.
|
| 1070 |
"learning_rate": 5.743589743589743e-06,
|
| 1071 |
-
"loss": 0.
|
| 1072 |
"step": 1390
|
| 1073 |
},
|
| 1074 |
{
|
| 1075 |
"epoch": 10.76923076923077,
|
| 1076 |
-
"grad_norm": 3.
|
| 1077 |
"learning_rate": 5.641025641025641e-06,
|
| 1078 |
-
"loss": 0.
|
| 1079 |
"step": 1400
|
| 1080 |
},
|
| 1081 |
{
|
| 1082 |
"epoch": 10.846153846153847,
|
| 1083 |
-
"grad_norm": 2.
|
| 1084 |
"learning_rate": 5.538461538461539e-06,
|
| 1085 |
-
"loss": 0.
|
| 1086 |
"step": 1410
|
| 1087 |
},
|
| 1088 |
{
|
| 1089 |
"epoch": 10.923076923076923,
|
| 1090 |
-
"grad_norm": 1.
|
| 1091 |
"learning_rate": 5.435897435897436e-06,
|
| 1092 |
-
"loss": 0.
|
| 1093 |
"step": 1420
|
| 1094 |
},
|
| 1095 |
{
|
| 1096 |
"epoch": 11.0,
|
| 1097 |
-
"grad_norm": 4.
|
| 1098 |
"learning_rate": 5.333333333333334e-06,
|
| 1099 |
-
"loss": 0.
|
| 1100 |
"step": 1430
|
| 1101 |
},
|
| 1102 |
{
|
| 1103 |
"epoch": 11.0,
|
| 1104 |
"eval_accuracy": 0.8345864661654135,
|
| 1105 |
-
"eval_loss": 0.
|
| 1106 |
-
"eval_runtime": 0.
|
| 1107 |
-
"eval_samples_per_second":
|
| 1108 |
-
"eval_steps_per_second":
|
| 1109 |
"step": 1430
|
| 1110 |
},
|
| 1111 |
{
|
| 1112 |
"epoch": 11.076923076923077,
|
| 1113 |
-
"grad_norm": 1.
|
| 1114 |
"learning_rate": 5.230769230769232e-06,
|
| 1115 |
-
"loss": 0.
|
| 1116 |
"step": 1440
|
| 1117 |
},
|
| 1118 |
{
|
| 1119 |
"epoch": 11.153846153846153,
|
| 1120 |
-
"grad_norm":
|
| 1121 |
"learning_rate": 5.128205128205128e-06,
|
| 1122 |
-
"loss": 0.
|
| 1123 |
"step": 1450
|
| 1124 |
},
|
| 1125 |
{
|
| 1126 |
"epoch": 11.23076923076923,
|
| 1127 |
-
"grad_norm": 2.
|
| 1128 |
"learning_rate": 5.025641025641026e-06,
|
| 1129 |
-
"loss": 0.
|
| 1130 |
"step": 1460
|
| 1131 |
},
|
| 1132 |
{
|
| 1133 |
"epoch": 11.307692307692308,
|
| 1134 |
-
"grad_norm": 2.
|
| 1135 |
"learning_rate": 4.923076923076924e-06,
|
| 1136 |
-
"loss": 0.
|
| 1137 |
"step": 1470
|
| 1138 |
},
|
| 1139 |
{
|
| 1140 |
"epoch": 11.384615384615385,
|
| 1141 |
-
"grad_norm": 2.
|
| 1142 |
"learning_rate": 4.820512820512821e-06,
|
| 1143 |
-
"loss": 0.
|
| 1144 |
"step": 1480
|
| 1145 |
},
|
| 1146 |
{
|
| 1147 |
"epoch": 11.461538461538462,
|
| 1148 |
-
"grad_norm": 2.
|
| 1149 |
"learning_rate": 4.717948717948718e-06,
|
| 1150 |
-
"loss": 0.
|
| 1151 |
"step": 1490
|
| 1152 |
},
|
| 1153 |
{
|
| 1154 |
"epoch": 11.538461538461538,
|
| 1155 |
-
"grad_norm": 2.
|
| 1156 |
"learning_rate": 4.615384615384616e-06,
|
| 1157 |
-
"loss": 0.
|
| 1158 |
"step": 1500
|
| 1159 |
},
|
| 1160 |
{
|
| 1161 |
"epoch": 11.615384615384615,
|
| 1162 |
-
"grad_norm": 3.
|
| 1163 |
"learning_rate": 4.512820512820513e-06,
|
| 1164 |
-
"loss": 0.
|
| 1165 |
"step": 1510
|
| 1166 |
},
|
| 1167 |
{
|
| 1168 |
"epoch": 11.692307692307692,
|
| 1169 |
-
"grad_norm": 3.
|
| 1170 |
"learning_rate": 4.4102564102564104e-06,
|
| 1171 |
-
"loss": 0.
|
| 1172 |
"step": 1520
|
| 1173 |
},
|
| 1174 |
{
|
| 1175 |
"epoch": 11.76923076923077,
|
| 1176 |
-
"grad_norm": 2.
|
| 1177 |
"learning_rate": 4.307692307692308e-06,
|
| 1178 |
-
"loss": 0.
|
| 1179 |
"step": 1530
|
| 1180 |
},
|
| 1181 |
{
|
| 1182 |
"epoch": 11.846153846153847,
|
| 1183 |
-
"grad_norm": 2.
|
| 1184 |
"learning_rate": 4.2051282051282055e-06,
|
| 1185 |
-
"loss": 0.
|
| 1186 |
"step": 1540
|
| 1187 |
},
|
| 1188 |
{
|
| 1189 |
"epoch": 11.923076923076923,
|
| 1190 |
-
"grad_norm": 2.
|
| 1191 |
"learning_rate": 4.102564102564103e-06,
|
| 1192 |
-
"loss": 0.
|
| 1193 |
"step": 1550
|
| 1194 |
},
|
| 1195 |
{
|
| 1196 |
"epoch": 12.0,
|
| 1197 |
-
"grad_norm": 3.
|
| 1198 |
"learning_rate": 4.000000000000001e-06,
|
| 1199 |
-
"loss": 0.
|
| 1200 |
"step": 1560
|
| 1201 |
},
|
| 1202 |
{
|
| 1203 |
"epoch": 12.0,
|
| 1204 |
"eval_accuracy": 0.8345864661654135,
|
| 1205 |
-
"eval_loss": 0.
|
| 1206 |
-
"eval_runtime": 0.
|
| 1207 |
-
"eval_samples_per_second":
|
| 1208 |
-
"eval_steps_per_second":
|
| 1209 |
"step": 1560
|
| 1210 |
},
|
| 1211 |
{
|
| 1212 |
"epoch": 12.076923076923077,
|
| 1213 |
-
"grad_norm": 2.
|
| 1214 |
"learning_rate": 3.897435897435898e-06,
|
| 1215 |
-
"loss": 0.
|
| 1216 |
"step": 1570
|
| 1217 |
},
|
| 1218 |
{
|
| 1219 |
"epoch": 12.153846153846153,
|
| 1220 |
-
"grad_norm": 2.
|
| 1221 |
"learning_rate": 3.794871794871795e-06,
|
| 1222 |
-
"loss": 0.
|
| 1223 |
"step": 1580
|
| 1224 |
},
|
| 1225 |
{
|
| 1226 |
"epoch": 12.23076923076923,
|
| 1227 |
-
"grad_norm": 1.
|
| 1228 |
"learning_rate": 3.692307692307693e-06,
|
| 1229 |
-
"loss": 0.
|
| 1230 |
"step": 1590
|
| 1231 |
},
|
| 1232 |
{
|
| 1233 |
"epoch": 12.307692307692308,
|
| 1234 |
-
"grad_norm": 2.
|
| 1235 |
"learning_rate": 3.58974358974359e-06,
|
| 1236 |
-
"loss": 0.
|
| 1237 |
"step": 1600
|
| 1238 |
},
|
| 1239 |
{
|
| 1240 |
"epoch": 12.384615384615385,
|
| 1241 |
-
"grad_norm": 2.
|
| 1242 |
"learning_rate": 3.487179487179487e-06,
|
| 1243 |
-
"loss": 0.
|
| 1244 |
"step": 1610
|
| 1245 |
},
|
| 1246 |
{
|
| 1247 |
"epoch": 12.461538461538462,
|
| 1248 |
-
"grad_norm":
|
| 1249 |
"learning_rate": 3.384615384615385e-06,
|
| 1250 |
-
"loss": 0.
|
| 1251 |
"step": 1620
|
| 1252 |
},
|
| 1253 |
{
|
| 1254 |
"epoch": 12.538461538461538,
|
| 1255 |
-
"grad_norm": 2.
|
| 1256 |
"learning_rate": 3.2820512820512823e-06,
|
| 1257 |
-
"loss": 0.
|
| 1258 |
"step": 1630
|
| 1259 |
},
|
| 1260 |
{
|
| 1261 |
"epoch": 12.615384615384615,
|
| 1262 |
-
"grad_norm": 1.
|
| 1263 |
"learning_rate": 3.1794871794871795e-06,
|
| 1264 |
-
"loss": 0.
|
| 1265 |
"step": 1640
|
| 1266 |
},
|
| 1267 |
{
|
| 1268 |
"epoch": 12.692307692307692,
|
| 1269 |
-
"grad_norm": 3.
|
| 1270 |
"learning_rate": 3.0769230769230774e-06,
|
| 1271 |
-
"loss": 0.
|
| 1272 |
"step": 1650
|
| 1273 |
},
|
| 1274 |
{
|
| 1275 |
"epoch": 12.76923076923077,
|
| 1276 |
-
"grad_norm": 2.
|
| 1277 |
"learning_rate": 2.9743589743589746e-06,
|
| 1278 |
-
"loss": 0.
|
| 1279 |
"step": 1660
|
| 1280 |
},
|
| 1281 |
{
|
| 1282 |
"epoch": 12.846153846153847,
|
| 1283 |
-
"grad_norm": 1.
|
| 1284 |
"learning_rate": 2.8717948717948717e-06,
|
| 1285 |
-
"loss": 0.
|
| 1286 |
"step": 1670
|
| 1287 |
},
|
| 1288 |
{
|
| 1289 |
"epoch": 12.923076923076923,
|
| 1290 |
-
"grad_norm": 2.
|
| 1291 |
"learning_rate": 2.7692307692307697e-06,
|
| 1292 |
-
"loss": 0.
|
| 1293 |
"step": 1680
|
| 1294 |
},
|
| 1295 |
{
|
| 1296 |
"epoch": 13.0,
|
| 1297 |
-
"grad_norm":
|
| 1298 |
"learning_rate": 2.666666666666667e-06,
|
| 1299 |
-
"loss": 0.
|
| 1300 |
"step": 1690
|
| 1301 |
},
|
| 1302 |
{
|
| 1303 |
"epoch": 13.0,
|
| 1304 |
"eval_accuracy": 0.8421052631578947,
|
| 1305 |
-
"eval_loss": 0.
|
| 1306 |
-
"eval_runtime": 0.
|
| 1307 |
-
"eval_samples_per_second":
|
| 1308 |
-
"eval_steps_per_second":
|
| 1309 |
"step": 1690
|
| 1310 |
},
|
| 1311 |
{
|
| 1312 |
"epoch": 13.076923076923077,
|
| 1313 |
-
"grad_norm":
|
| 1314 |
"learning_rate": 2.564102564102564e-06,
|
| 1315 |
-
"loss": 0.
|
| 1316 |
"step": 1700
|
| 1317 |
},
|
| 1318 |
{
|
| 1319 |
"epoch": 13.153846153846153,
|
| 1320 |
-
"grad_norm": 2.
|
| 1321 |
"learning_rate": 2.461538461538462e-06,
|
| 1322 |
-
"loss": 0.
|
| 1323 |
"step": 1710
|
| 1324 |
},
|
| 1325 |
{
|
| 1326 |
"epoch": 13.23076923076923,
|
| 1327 |
-
"grad_norm": 3.
|
| 1328 |
"learning_rate": 2.358974358974359e-06,
|
| 1329 |
-
"loss": 0.
|
| 1330 |
"step": 1720
|
| 1331 |
},
|
| 1332 |
{
|
| 1333 |
"epoch": 13.307692307692308,
|
| 1334 |
-
"grad_norm": 1.
|
| 1335 |
"learning_rate": 2.2564102564102566e-06,
|
| 1336 |
-
"loss": 0.
|
| 1337 |
"step": 1730
|
| 1338 |
},
|
| 1339 |
{
|
| 1340 |
"epoch": 13.384615384615385,
|
| 1341 |
-
"grad_norm": 2.
|
| 1342 |
"learning_rate": 2.153846153846154e-06,
|
| 1343 |
-
"loss": 0.
|
| 1344 |
"step": 1740
|
| 1345 |
},
|
| 1346 |
{
|
| 1347 |
"epoch": 13.461538461538462,
|
| 1348 |
-
"grad_norm":
|
| 1349 |
"learning_rate": 2.0512820512820513e-06,
|
| 1350 |
-
"loss": 0.
|
| 1351 |
"step": 1750
|
| 1352 |
},
|
| 1353 |
{
|
| 1354 |
"epoch": 13.538461538461538,
|
| 1355 |
-
"grad_norm": 2.
|
| 1356 |
"learning_rate": 1.948717948717949e-06,
|
| 1357 |
-
"loss": 0.
|
| 1358 |
"step": 1760
|
| 1359 |
},
|
| 1360 |
{
|
| 1361 |
"epoch": 13.615384615384615,
|
| 1362 |
-
"grad_norm":
|
| 1363 |
"learning_rate": 1.8461538461538465e-06,
|
| 1364 |
-
"loss": 0.
|
| 1365 |
"step": 1770
|
| 1366 |
},
|
| 1367 |
{
|
| 1368 |
"epoch": 13.692307692307692,
|
| 1369 |
-
"grad_norm":
|
| 1370 |
"learning_rate": 1.7435897435897436e-06,
|
| 1371 |
-
"loss": 0.
|
| 1372 |
"step": 1780
|
| 1373 |
},
|
| 1374 |
{
|
| 1375 |
"epoch": 13.76923076923077,
|
| 1376 |
-
"grad_norm": 1.
|
| 1377 |
"learning_rate": 1.6410256410256412e-06,
|
| 1378 |
-
"loss": 0.
|
| 1379 |
"step": 1790
|
| 1380 |
},
|
| 1381 |
{
|
| 1382 |
"epoch": 13.846153846153847,
|
| 1383 |
-
"grad_norm": 3.
|
| 1384 |
"learning_rate": 1.5384615384615387e-06,
|
| 1385 |
-
"loss": 0.
|
| 1386 |
"step": 1800
|
| 1387 |
},
|
| 1388 |
{
|
| 1389 |
"epoch": 13.923076923076923,
|
| 1390 |
-
"grad_norm": 2.
|
| 1391 |
"learning_rate": 1.4358974358974359e-06,
|
| 1392 |
-
"loss": 0.
|
| 1393 |
"step": 1810
|
| 1394 |
},
|
| 1395 |
{
|
| 1396 |
"epoch": 14.0,
|
| 1397 |
-
"grad_norm": 4.
|
| 1398 |
"learning_rate": 1.3333333333333334e-06,
|
| 1399 |
-
"loss": 0.
|
| 1400 |
"step": 1820
|
| 1401 |
},
|
| 1402 |
{
|
| 1403 |
"epoch": 14.0,
|
| 1404 |
"eval_accuracy": 0.8270676691729323,
|
| 1405 |
-
"eval_loss": 0.
|
| 1406 |
-
"eval_runtime": 0.
|
| 1407 |
-
"eval_samples_per_second":
|
| 1408 |
-
"eval_steps_per_second": 22.
|
| 1409 |
"step": 1820
|
| 1410 |
},
|
| 1411 |
{
|
| 1412 |
"epoch": 14.076923076923077,
|
| 1413 |
-
"grad_norm": 2.
|
| 1414 |
"learning_rate": 1.230769230769231e-06,
|
| 1415 |
-
"loss": 0.
|
| 1416 |
"step": 1830
|
| 1417 |
},
|
| 1418 |
{
|
| 1419 |
"epoch": 14.153846153846153,
|
| 1420 |
-
"grad_norm": 2.
|
| 1421 |
"learning_rate": 1.1282051282051283e-06,
|
| 1422 |
-
"loss": 0.
|
| 1423 |
"step": 1840
|
| 1424 |
},
|
| 1425 |
{
|
| 1426 |
"epoch": 14.23076923076923,
|
| 1427 |
-
"grad_norm": 2.
|
| 1428 |
"learning_rate": 1.0256410256410257e-06,
|
| 1429 |
-
"loss": 0.
|
| 1430 |
"step": 1850
|
| 1431 |
},
|
| 1432 |
{
|
| 1433 |
"epoch": 14.307692307692308,
|
| 1434 |
-
"grad_norm":
|
| 1435 |
"learning_rate": 9.230769230769232e-07,
|
| 1436 |
-
"loss": 0.
|
| 1437 |
"step": 1860
|
| 1438 |
},
|
| 1439 |
{
|
| 1440 |
"epoch": 14.384615384615385,
|
| 1441 |
-
"grad_norm": 2.
|
| 1442 |
"learning_rate": 8.205128205128206e-07,
|
| 1443 |
-
"loss": 0.
|
| 1444 |
"step": 1870
|
| 1445 |
},
|
| 1446 |
{
|
| 1447 |
"epoch": 14.461538461538462,
|
| 1448 |
-
"grad_norm": 2.
|
| 1449 |
"learning_rate": 7.179487179487179e-07,
|
| 1450 |
-
"loss": 0.
|
| 1451 |
"step": 1880
|
| 1452 |
},
|
| 1453 |
{
|
| 1454 |
"epoch": 14.538461538461538,
|
| 1455 |
-
"grad_norm": 3.
|
| 1456 |
"learning_rate": 6.153846153846155e-07,
|
| 1457 |
-
"loss": 0.
|
| 1458 |
"step": 1890
|
| 1459 |
},
|
| 1460 |
{
|
| 1461 |
"epoch": 14.615384615384615,
|
| 1462 |
-
"grad_norm": 2.
|
| 1463 |
"learning_rate": 5.128205128205128e-07,
|
| 1464 |
-
"loss": 0.
|
| 1465 |
"step": 1900
|
| 1466 |
},
|
| 1467 |
{
|
| 1468 |
"epoch": 14.692307692307692,
|
| 1469 |
-
"grad_norm": 2.
|
| 1470 |
"learning_rate": 4.102564102564103e-07,
|
| 1471 |
-
"loss": 0.
|
| 1472 |
"step": 1910
|
| 1473 |
},
|
| 1474 |
{
|
| 1475 |
"epoch": 14.76923076923077,
|
| 1476 |
-
"grad_norm":
|
| 1477 |
"learning_rate": 3.0769230769230774e-07,
|
| 1478 |
-
"loss": 0.
|
| 1479 |
"step": 1920
|
| 1480 |
},
|
| 1481 |
{
|
| 1482 |
"epoch": 14.846153846153847,
|
| 1483 |
-
"grad_norm": 3.
|
| 1484 |
"learning_rate": 2.0512820512820514e-07,
|
| 1485 |
-
"loss": 0.
|
| 1486 |
"step": 1930
|
| 1487 |
},
|
| 1488 |
{
|
| 1489 |
"epoch": 14.923076923076923,
|
| 1490 |
-
"grad_norm": 2.
|
| 1491 |
"learning_rate": 1.0256410256410257e-07,
|
| 1492 |
-
"loss": 0.
|
| 1493 |
"step": 1940
|
| 1494 |
},
|
| 1495 |
{
|
| 1496 |
"epoch": 15.0,
|
| 1497 |
-
"grad_norm": 4.
|
| 1498 |
"learning_rate": 0.0,
|
| 1499 |
-
"loss": 0.
|
| 1500 |
"step": 1950
|
| 1501 |
},
|
| 1502 |
{
|
| 1503 |
"epoch": 15.0,
|
| 1504 |
-
"eval_accuracy": 0.
|
| 1505 |
-
"eval_loss": 0.
|
| 1506 |
-
"eval_runtime": 0.
|
| 1507 |
-
"eval_samples_per_second":
|
| 1508 |
-
"eval_steps_per_second": 21.
|
| 1509 |
"step": 1950
|
| 1510 |
},
|
| 1511 |
{
|
| 1512 |
"epoch": 15.0,
|
| 1513 |
"step": 1950,
|
| 1514 |
"total_flos": 1.5658365504595968e+17,
|
| 1515 |
-
"train_loss": 0.
|
| 1516 |
-
"train_runtime":
|
| 1517 |
-
"train_samples_per_second":
|
| 1518 |
-
"train_steps_per_second":
|
| 1519 |
}
|
| 1520 |
],
|
| 1521 |
"logging_steps": 10,
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.7412300109863281,
|
| 3 |
"best_model_checkpoint": "./beans_outputs/checkpoint-1950",
|
| 4 |
"epoch": 15.0,
|
| 5 |
"eval_steps": 500,
|
|
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.07692307692307693,
|
| 13 |
+
"grad_norm": 2.136049747467041,
|
| 14 |
"learning_rate": 1.98974358974359e-05,
|
| 15 |
"loss": 1.1239,
|
| 16 |
"step": 10
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.15384615384615385,
|
| 20 |
+
"grad_norm": 1.8187670707702637,
|
| 21 |
"learning_rate": 1.9794871794871798e-05,
|
| 22 |
"loss": 1.1221,
|
| 23 |
"step": 20
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 0.23076923076923078,
|
| 27 |
+
"grad_norm": 2.0219993591308594,
|
| 28 |
"learning_rate": 1.9692307692307696e-05,
|
| 29 |
"loss": 1.1164,
|
| 30 |
"step": 30
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 0.3076923076923077,
|
| 34 |
+
"grad_norm": 2.4619803428649902,
|
| 35 |
"learning_rate": 1.958974358974359e-05,
|
| 36 |
+
"loss": 1.1044,
|
| 37 |
"step": 40
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 0.38461538461538464,
|
| 41 |
+
"grad_norm": 1.6733014583587646,
|
| 42 |
"learning_rate": 1.9487179487179488e-05,
|
| 43 |
+
"loss": 1.1082,
|
| 44 |
"step": 50
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.46153846153846156,
|
| 48 |
+
"grad_norm": 1.4969494342803955,
|
| 49 |
"learning_rate": 1.9384615384615386e-05,
|
| 50 |
+
"loss": 1.1043,
|
| 51 |
"step": 60
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 0.5384615384615384,
|
| 55 |
+
"grad_norm": 2.6347556114196777,
|
| 56 |
"learning_rate": 1.9282051282051284e-05,
|
| 57 |
+
"loss": 1.1028,
|
| 58 |
"step": 70
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"epoch": 0.6153846153846154,
|
| 62 |
+
"grad_norm": 2.5843420028686523,
|
| 63 |
"learning_rate": 1.9179487179487182e-05,
|
| 64 |
"loss": 1.0908,
|
| 65 |
"step": 80
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"epoch": 0.6923076923076923,
|
| 69 |
+
"grad_norm": 2.0522916316986084,
|
| 70 |
"learning_rate": 1.907692307692308e-05,
|
| 71 |
+
"loss": 1.094,
|
| 72 |
"step": 90
|
| 73 |
},
|
| 74 |
{
|
| 75 |
"epoch": 0.7692307692307693,
|
| 76 |
+
"grad_norm": 2.4885082244873047,
|
| 77 |
"learning_rate": 1.8974358974358975e-05,
|
| 78 |
+
"loss": 1.0912,
|
| 79 |
"step": 100
|
| 80 |
},
|
| 81 |
{
|
| 82 |
"epoch": 0.8461538461538461,
|
| 83 |
+
"grad_norm": 1.7014166116714478,
|
| 84 |
"learning_rate": 1.8871794871794873e-05,
|
| 85 |
+
"loss": 1.0949,
|
| 86 |
"step": 110
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 0.9230769230769231,
|
| 90 |
+
"grad_norm": 2.294283866882324,
|
| 91 |
"learning_rate": 1.876923076923077e-05,
|
| 92 |
+
"loss": 1.0992,
|
| 93 |
"step": 120
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"epoch": 1.0,
|
| 97 |
+
"grad_norm": 4.129885673522949,
|
| 98 |
"learning_rate": 1.866666666666667e-05,
|
| 99 |
+
"loss": 1.0864,
|
| 100 |
"step": 130
|
| 101 |
},
|
| 102 |
{
|
| 103 |
"epoch": 1.0,
|
| 104 |
"eval_accuracy": 0.42857142857142855,
|
| 105 |
+
"eval_loss": 1.0877832174301147,
|
| 106 |
+
"eval_runtime": 0.7833,
|
| 107 |
+
"eval_samples_per_second": 169.792,
|
| 108 |
+
"eval_steps_per_second": 21.703,
|
| 109 |
"step": 130
|
| 110 |
},
|
| 111 |
{
|
| 112 |
"epoch": 1.0769230769230769,
|
| 113 |
+
"grad_norm": 2.331717014312744,
|
| 114 |
"learning_rate": 1.8564102564102567e-05,
|
| 115 |
+
"loss": 1.0774,
|
| 116 |
"step": 140
|
| 117 |
},
|
| 118 |
{
|
| 119 |
"epoch": 1.1538461538461537,
|
| 120 |
+
"grad_norm": 2.5262138843536377,
|
| 121 |
"learning_rate": 1.8461538461538465e-05,
|
| 122 |
+
"loss": 1.0719,
|
| 123 |
"step": 150
|
| 124 |
},
|
| 125 |
{
|
| 126 |
"epoch": 1.2307692307692308,
|
| 127 |
+
"grad_norm": 1.5971320867538452,
|
| 128 |
"learning_rate": 1.835897435897436e-05,
|
| 129 |
+
"loss": 1.0781,
|
| 130 |
"step": 160
|
| 131 |
},
|
| 132 |
{
|
| 133 |
"epoch": 1.3076923076923077,
|
| 134 |
+
"grad_norm": 2.383288860321045,
|
| 135 |
"learning_rate": 1.8256410256410257e-05,
|
| 136 |
+
"loss": 1.0929,
|
| 137 |
"step": 170
|
| 138 |
},
|
| 139 |
{
|
| 140 |
"epoch": 1.3846153846153846,
|
| 141 |
+
"grad_norm": 2.169706106185913,
|
| 142 |
"learning_rate": 1.8153846153846155e-05,
|
| 143 |
+
"loss": 1.0805,
|
| 144 |
"step": 180
|
| 145 |
},
|
| 146 |
{
|
| 147 |
"epoch": 1.4615384615384617,
|
| 148 |
+
"grad_norm": 2.1174418926239014,
|
| 149 |
"learning_rate": 1.8051282051282053e-05,
|
| 150 |
+
"loss": 1.08,
|
| 151 |
"step": 190
|
| 152 |
},
|
| 153 |
{
|
| 154 |
"epoch": 1.5384615384615383,
|
| 155 |
+
"grad_norm": 1.7236179113388062,
|
| 156 |
"learning_rate": 1.794871794871795e-05,
|
| 157 |
+
"loss": 1.0766,
|
| 158 |
"step": 200
|
| 159 |
},
|
| 160 |
{
|
| 161 |
"epoch": 1.6153846153846154,
|
| 162 |
+
"grad_norm": 1.7772722244262695,
|
| 163 |
"learning_rate": 1.784615384615385e-05,
|
| 164 |
+
"loss": 1.0676,
|
| 165 |
"step": 210
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 1.6923076923076923,
|
| 169 |
+
"grad_norm": 3.53834867477417,
|
| 170 |
"learning_rate": 1.7743589743589744e-05,
|
| 171 |
+
"loss": 1.0695,
|
| 172 |
"step": 220
|
| 173 |
},
|
| 174 |
{
|
| 175 |
"epoch": 1.7692307692307692,
|
| 176 |
+
"grad_norm": 2.0417070388793945,
|
| 177 |
"learning_rate": 1.7641025641025642e-05,
|
| 178 |
+
"loss": 1.0706,
|
| 179 |
"step": 230
|
| 180 |
},
|
| 181 |
{
|
| 182 |
"epoch": 1.8461538461538463,
|
| 183 |
+
"grad_norm": 1.9734611511230469,
|
| 184 |
"learning_rate": 1.753846153846154e-05,
|
| 185 |
+
"loss": 1.0863,
|
| 186 |
"step": 240
|
| 187 |
},
|
| 188 |
{
|
| 189 |
"epoch": 1.9230769230769231,
|
| 190 |
+
"grad_norm": 1.9997600317001343,
|
| 191 |
"learning_rate": 1.7435897435897438e-05,
|
| 192 |
+
"loss": 1.068,
|
| 193 |
"step": 250
|
| 194 |
},
|
| 195 |
{
|
| 196 |
"epoch": 2.0,
|
| 197 |
+
"grad_norm": 3.0024373531341553,
|
| 198 |
"learning_rate": 1.7333333333333336e-05,
|
| 199 |
+
"loss": 1.0629,
|
| 200 |
"step": 260
|
| 201 |
},
|
| 202 |
{
|
| 203 |
"epoch": 2.0,
|
| 204 |
+
"eval_accuracy": 0.5488721804511278,
|
| 205 |
+
"eval_loss": 1.0593525171279907,
|
| 206 |
+
"eval_runtime": 0.7442,
|
| 207 |
+
"eval_samples_per_second": 178.706,
|
| 208 |
+
"eval_steps_per_second": 22.842,
|
| 209 |
"step": 260
|
| 210 |
},
|
| 211 |
{
|
| 212 |
"epoch": 2.076923076923077,
|
| 213 |
+
"grad_norm": 1.977807641029358,
|
| 214 |
"learning_rate": 1.7230769230769234e-05,
|
| 215 |
+
"loss": 1.0711,
|
| 216 |
"step": 270
|
| 217 |
},
|
| 218 |
{
|
| 219 |
"epoch": 2.1538461538461537,
|
| 220 |
+
"grad_norm": 2.3906102180480957,
|
| 221 |
"learning_rate": 1.7128205128205128e-05,
|
| 222 |
+
"loss": 1.0597,
|
| 223 |
"step": 280
|
| 224 |
},
|
| 225 |
{
|
| 226 |
"epoch": 2.230769230769231,
|
| 227 |
+
"grad_norm": 2.3670897483825684,
|
| 228 |
"learning_rate": 1.7025641025641026e-05,
|
| 229 |
+
"loss": 1.0576,
|
| 230 |
"step": 290
|
| 231 |
},
|
| 232 |
{
|
| 233 |
"epoch": 2.3076923076923075,
|
| 234 |
+
"grad_norm": 3.026155948638916,
|
| 235 |
"learning_rate": 1.6923076923076924e-05,
|
| 236 |
+
"loss": 1.0434,
|
| 237 |
"step": 300
|
| 238 |
},
|
| 239 |
{
|
| 240 |
"epoch": 2.3846153846153846,
|
| 241 |
+
"grad_norm": 1.9082350730895996,
|
| 242 |
"learning_rate": 1.6820512820512822e-05,
|
| 243 |
+
"loss": 1.0566,
|
| 244 |
"step": 310
|
| 245 |
},
|
| 246 |
{
|
| 247 |
"epoch": 2.4615384615384617,
|
| 248 |
+
"grad_norm": 1.9187153577804565,
|
| 249 |
"learning_rate": 1.671794871794872e-05,
|
| 250 |
+
"loss": 1.0476,
|
| 251 |
"step": 320
|
| 252 |
},
|
| 253 |
{
|
| 254 |
"epoch": 2.5384615384615383,
|
| 255 |
+
"grad_norm": 1.4435549974441528,
|
| 256 |
"learning_rate": 1.6615384615384618e-05,
|
| 257 |
+
"loss": 1.032,
|
| 258 |
"step": 330
|
| 259 |
},
|
| 260 |
{
|
| 261 |
"epoch": 2.6153846153846154,
|
| 262 |
+
"grad_norm": 2.1457245349884033,
|
| 263 |
"learning_rate": 1.6512820512820513e-05,
|
| 264 |
+
"loss": 1.0475,
|
| 265 |
"step": 340
|
| 266 |
},
|
| 267 |
{
|
| 268 |
"epoch": 2.6923076923076925,
|
| 269 |
+
"grad_norm": 1.9391709566116333,
|
| 270 |
"learning_rate": 1.641025641025641e-05,
|
| 271 |
+
"loss": 1.0486,
|
| 272 |
"step": 350
|
| 273 |
},
|
| 274 |
{
|
| 275 |
"epoch": 2.769230769230769,
|
| 276 |
+
"grad_norm": 1.8148127794265747,
|
| 277 |
"learning_rate": 1.630769230769231e-05,
|
| 278 |
"loss": 1.0407,
|
| 279 |
"step": 360
|
| 280 |
},
|
| 281 |
{
|
| 282 |
"epoch": 2.8461538461538463,
|
| 283 |
+
"grad_norm": 2.444157123565674,
|
| 284 |
"learning_rate": 1.6205128205128207e-05,
|
| 285 |
+
"loss": 1.0356,
|
| 286 |
"step": 370
|
| 287 |
},
|
| 288 |
{
|
| 289 |
"epoch": 2.9230769230769234,
|
| 290 |
+
"grad_norm": 1.9061695337295532,
|
| 291 |
"learning_rate": 1.6102564102564105e-05,
|
| 292 |
+
"loss": 1.0239,
|
| 293 |
"step": 380
|
| 294 |
},
|
| 295 |
{
|
| 296 |
"epoch": 3.0,
|
| 297 |
+
"grad_norm": 4.859686851501465,
|
| 298 |
"learning_rate": 1.6000000000000003e-05,
|
| 299 |
+
"loss": 1.0434,
|
| 300 |
"step": 390
|
| 301 |
},
|
| 302 |
{
|
| 303 |
"epoch": 3.0,
|
| 304 |
+
"eval_accuracy": 0.6766917293233082,
|
| 305 |
+
"eval_loss": 1.0230107307434082,
|
| 306 |
+
"eval_runtime": 0.7471,
|
| 307 |
+
"eval_samples_per_second": 178.027,
|
| 308 |
+
"eval_steps_per_second": 22.755,
|
| 309 |
"step": 390
|
| 310 |
},
|
| 311 |
{
|
| 312 |
"epoch": 3.076923076923077,
|
| 313 |
+
"grad_norm": 2.2021689414978027,
|
| 314 |
"learning_rate": 1.5897435897435897e-05,
|
| 315 |
+
"loss": 1.0424,
|
| 316 |
"step": 400
|
| 317 |
},
|
| 318 |
{
|
| 319 |
"epoch": 3.1538461538461537,
|
| 320 |
+
"grad_norm": 1.8670283555984497,
|
| 321 |
"learning_rate": 1.5794871794871795e-05,
|
| 322 |
+
"loss": 1.0299,
|
| 323 |
"step": 410
|
| 324 |
},
|
| 325 |
{
|
| 326 |
"epoch": 3.230769230769231,
|
| 327 |
+
"grad_norm": 2.193986654281616,
|
| 328 |
"learning_rate": 1.5692307692307693e-05,
|
| 329 |
+
"loss": 1.0369,
|
| 330 |
"step": 420
|
| 331 |
},
|
| 332 |
{
|
| 333 |
"epoch": 3.3076923076923075,
|
| 334 |
+
"grad_norm": 2.26470685005188,
|
| 335 |
"learning_rate": 1.558974358974359e-05,
|
| 336 |
"loss": 1.0159,
|
| 337 |
"step": 430
|
| 338 |
},
|
| 339 |
{
|
| 340 |
"epoch": 3.3846153846153846,
|
| 341 |
+
"grad_norm": 2.18507981300354,
|
| 342 |
"learning_rate": 1.548717948717949e-05,
|
| 343 |
+
"loss": 1.0282,
|
| 344 |
"step": 440
|
| 345 |
},
|
| 346 |
{
|
| 347 |
"epoch": 3.4615384615384617,
|
| 348 |
+
"grad_norm": 1.8047341108322144,
|
| 349 |
"learning_rate": 1.5384615384615387e-05,
|
| 350 |
+
"loss": 1.0381,
|
| 351 |
"step": 450
|
| 352 |
},
|
| 353 |
{
|
| 354 |
"epoch": 3.5384615384615383,
|
| 355 |
+
"grad_norm": 2.6463704109191895,
|
| 356 |
"learning_rate": 1.5282051282051282e-05,
|
| 357 |
"loss": 1.0322,
|
| 358 |
"step": 460
|
| 359 |
},
|
| 360 |
{
|
| 361 |
"epoch": 3.6153846153846154,
|
| 362 |
+
"grad_norm": 1.6456215381622314,
|
| 363 |
"learning_rate": 1.517948717948718e-05,
|
| 364 |
+
"loss": 1.0049,
|
| 365 |
"step": 470
|
| 366 |
},
|
| 367 |
{
|
| 368 |
"epoch": 3.6923076923076925,
|
| 369 |
+
"grad_norm": 2.774256706237793,
|
| 370 |
"learning_rate": 1.5076923076923078e-05,
|
| 371 |
+
"loss": 1.0091,
|
| 372 |
"step": 480
|
| 373 |
},
|
| 374 |
{
|
| 375 |
"epoch": 3.769230769230769,
|
| 376 |
+
"grad_norm": 1.572251319885254,
|
| 377 |
"learning_rate": 1.4974358974358976e-05,
|
| 378 |
+
"loss": 0.998,
|
| 379 |
"step": 490
|
| 380 |
},
|
| 381 |
{
|
| 382 |
"epoch": 3.8461538461538463,
|
| 383 |
+
"grad_norm": 1.5640805959701538,
|
| 384 |
"learning_rate": 1.4871794871794874e-05,
|
| 385 |
+
"loss": 1.0222,
|
| 386 |
"step": 500
|
| 387 |
},
|
| 388 |
{
|
| 389 |
"epoch": 3.9230769230769234,
|
| 390 |
+
"grad_norm": 1.9231537580490112,
|
| 391 |
"learning_rate": 1.4769230769230772e-05,
|
| 392 |
+
"loss": 0.9979,
|
| 393 |
"step": 510
|
| 394 |
},
|
| 395 |
{
|
| 396 |
"epoch": 4.0,
|
| 397 |
+
"grad_norm": 5.481942176818848,
|
| 398 |
"learning_rate": 1.4666666666666666e-05,
|
| 399 |
+
"loss": 1.0214,
|
| 400 |
"step": 520
|
| 401 |
},
|
| 402 |
{
|
| 403 |
"epoch": 4.0,
|
| 404 |
+
"eval_accuracy": 0.6766917293233082,
|
| 405 |
+
"eval_loss": 0.9964542388916016,
|
| 406 |
+
"eval_runtime": 0.7616,
|
| 407 |
+
"eval_samples_per_second": 174.638,
|
| 408 |
+
"eval_steps_per_second": 22.322,
|
| 409 |
"step": 520
|
| 410 |
},
|
| 411 |
{
|
| 412 |
"epoch": 4.076923076923077,
|
| 413 |
+
"grad_norm": 2.7514402866363525,
|
| 414 |
"learning_rate": 1.4564102564102564e-05,
|
| 415 |
+
"loss": 1.0128,
|
| 416 |
"step": 530
|
| 417 |
},
|
| 418 |
{
|
| 419 |
"epoch": 4.153846153846154,
|
| 420 |
+
"grad_norm": 1.8411396741867065,
|
| 421 |
"learning_rate": 1.4461538461538462e-05,
|
| 422 |
+
"loss": 1.0145,
|
| 423 |
"step": 540
|
| 424 |
},
|
| 425 |
{
|
| 426 |
"epoch": 4.230769230769231,
|
| 427 |
+
"grad_norm": 2.670154571533203,
|
| 428 |
"learning_rate": 1.435897435897436e-05,
|
| 429 |
+
"loss": 1.0227,
|
| 430 |
"step": 550
|
| 431 |
},
|
| 432 |
{
|
| 433 |
"epoch": 4.3076923076923075,
|
| 434 |
+
"grad_norm": 2.1951498985290527,
|
| 435 |
"learning_rate": 1.4256410256410258e-05,
|
| 436 |
+
"loss": 1.0321,
|
| 437 |
"step": 560
|
| 438 |
},
|
| 439 |
{
|
| 440 |
"epoch": 4.384615384615385,
|
| 441 |
+
"grad_norm": 1.9692825078964233,
|
| 442 |
"learning_rate": 1.4153846153846156e-05,
|
| 443 |
+
"loss": 0.9829,
|
| 444 |
"step": 570
|
| 445 |
},
|
| 446 |
{
|
| 447 |
"epoch": 4.461538461538462,
|
| 448 |
+
"grad_norm": 2.611340284347534,
|
| 449 |
"learning_rate": 1.405128205128205e-05,
|
| 450 |
+
"loss": 0.9918,
|
| 451 |
"step": 580
|
| 452 |
},
|
| 453 |
{
|
| 454 |
"epoch": 4.538461538461538,
|
| 455 |
+
"grad_norm": 2.4288899898529053,
|
| 456 |
"learning_rate": 1.3948717948717949e-05,
|
| 457 |
+
"loss": 0.9879,
|
| 458 |
"step": 590
|
| 459 |
},
|
| 460 |
{
|
| 461 |
"epoch": 4.615384615384615,
|
| 462 |
+
"grad_norm": 1.7537823915481567,
|
| 463 |
"learning_rate": 1.3846153846153847e-05,
|
| 464 |
+
"loss": 0.9793,
|
| 465 |
"step": 600
|
| 466 |
},
|
| 467 |
{
|
| 468 |
"epoch": 4.6923076923076925,
|
| 469 |
+
"grad_norm": 3.1588003635406494,
|
| 470 |
"learning_rate": 1.3743589743589745e-05,
|
| 471 |
+
"loss": 1.0002,
|
| 472 |
"step": 610
|
| 473 |
},
|
| 474 |
{
|
| 475 |
"epoch": 4.769230769230769,
|
| 476 |
+
"grad_norm": 2.2472622394561768,
|
| 477 |
"learning_rate": 1.3641025641025643e-05,
|
| 478 |
+
"loss": 1.0094,
|
| 479 |
"step": 620
|
| 480 |
},
|
| 481 |
{
|
| 482 |
"epoch": 4.846153846153846,
|
| 483 |
+
"grad_norm": 1.7958937883377075,
|
| 484 |
"learning_rate": 1.353846153846154e-05,
|
| 485 |
+
"loss": 0.9703,
|
| 486 |
"step": 630
|
| 487 |
},
|
| 488 |
{
|
| 489 |
"epoch": 4.923076923076923,
|
| 490 |
+
"grad_norm": 2.415766477584839,
|
| 491 |
"learning_rate": 1.3435897435897435e-05,
|
| 492 |
+
"loss": 0.9703,
|
| 493 |
"step": 640
|
| 494 |
},
|
| 495 |
{
|
| 496 |
"epoch": 5.0,
|
| 497 |
+
"grad_norm": 4.948933124542236,
|
| 498 |
"learning_rate": 1.3333333333333333e-05,
|
| 499 |
+
"loss": 1.0026,
|
| 500 |
"step": 650
|
| 501 |
},
|
| 502 |
{
|
| 503 |
"epoch": 5.0,
|
| 504 |
+
"eval_accuracy": 0.7443609022556391,
|
| 505 |
+
"eval_loss": 0.9569369554519653,
|
| 506 |
+
"eval_runtime": 0.7647,
|
| 507 |
+
"eval_samples_per_second": 173.928,
|
| 508 |
+
"eval_steps_per_second": 22.231,
|
| 509 |
"step": 650
|
| 510 |
},
|
| 511 |
{
|
| 512 |
"epoch": 5.076923076923077,
|
| 513 |
+
"grad_norm": 2.1397032737731934,
|
| 514 |
"learning_rate": 1.3230769230769231e-05,
|
| 515 |
+
"loss": 0.9645,
|
| 516 |
"step": 660
|
| 517 |
},
|
| 518 |
{
|
| 519 |
"epoch": 5.153846153846154,
|
| 520 |
+
"grad_norm": 2.7277321815490723,
|
| 521 |
"learning_rate": 1.312820512820513e-05,
|
| 522 |
+
"loss": 1.0063,
|
| 523 |
"step": 670
|
| 524 |
},
|
| 525 |
{
|
| 526 |
"epoch": 5.230769230769231,
|
| 527 |
+
"grad_norm": 2.391350030899048,
|
| 528 |
"learning_rate": 1.3025641025641027e-05,
|
| 529 |
+
"loss": 0.9918,
|
| 530 |
"step": 680
|
| 531 |
},
|
| 532 |
{
|
| 533 |
"epoch": 5.3076923076923075,
|
| 534 |
+
"grad_norm": 2.751174211502075,
|
| 535 |
"learning_rate": 1.2923076923076925e-05,
|
| 536 |
+
"loss": 0.9849,
|
| 537 |
"step": 690
|
| 538 |
},
|
| 539 |
{
|
| 540 |
"epoch": 5.384615384615385,
|
| 541 |
+
"grad_norm": 2.77424693107605,
|
| 542 |
"learning_rate": 1.2820512820512823e-05,
|
| 543 |
+
"loss": 0.9745,
|
| 544 |
"step": 700
|
| 545 |
},
|
| 546 |
{
|
| 547 |
"epoch": 5.461538461538462,
|
| 548 |
+
"grad_norm": 1.9156702756881714,
|
| 549 |
"learning_rate": 1.2717948717948718e-05,
|
| 550 |
+
"loss": 0.9684,
|
| 551 |
"step": 710
|
| 552 |
},
|
| 553 |
{
|
| 554 |
"epoch": 5.538461538461538,
|
| 555 |
+
"grad_norm": 1.9521454572677612,
|
| 556 |
"learning_rate": 1.2615384615384616e-05,
|
| 557 |
+
"loss": 0.9503,
|
| 558 |
"step": 720
|
| 559 |
},
|
| 560 |
{
|
| 561 |
"epoch": 5.615384615384615,
|
| 562 |
+
"grad_norm": 2.468419313430786,
|
| 563 |
"learning_rate": 1.2512820512820514e-05,
|
| 564 |
+
"loss": 0.9641,
|
| 565 |
"step": 730
|
| 566 |
},
|
| 567 |
{
|
| 568 |
"epoch": 5.6923076923076925,
|
| 569 |
+
"grad_norm": 2.520923614501953,
|
| 570 |
"learning_rate": 1.2410256410256412e-05,
|
| 571 |
+
"loss": 0.9471,
|
| 572 |
"step": 740
|
| 573 |
},
|
| 574 |
{
|
| 575 |
"epoch": 5.769230769230769,
|
| 576 |
+
"grad_norm": 2.1003758907318115,
|
| 577 |
"learning_rate": 1.230769230769231e-05,
|
| 578 |
+
"loss": 0.9513,
|
| 579 |
"step": 750
|
| 580 |
},
|
| 581 |
{
|
| 582 |
"epoch": 5.846153846153846,
|
| 583 |
+
"grad_norm": 2.192279100418091,
|
| 584 |
"learning_rate": 1.2205128205128208e-05,
|
| 585 |
+
"loss": 0.9527,
|
| 586 |
"step": 760
|
| 587 |
},
|
| 588 |
{
|
| 589 |
"epoch": 5.923076923076923,
|
| 590 |
+
"grad_norm": 3.8428618907928467,
|
| 591 |
"learning_rate": 1.2102564102564102e-05,
|
| 592 |
+
"loss": 0.938,
|
| 593 |
"step": 770
|
| 594 |
},
|
| 595 |
{
|
| 596 |
"epoch": 6.0,
|
| 597 |
+
"grad_norm": 4.9151530265808105,
|
| 598 |
"learning_rate": 1.2e-05,
|
| 599 |
+
"loss": 0.9753,
|
| 600 |
"step": 780
|
| 601 |
},
|
| 602 |
{
|
| 603 |
"epoch": 6.0,
|
| 604 |
+
"eval_accuracy": 0.7819548872180451,
|
| 605 |
+
"eval_loss": 0.9288201332092285,
|
| 606 |
+
"eval_runtime": 0.7499,
|
| 607 |
+
"eval_samples_per_second": 177.349,
|
| 608 |
+
"eval_steps_per_second": 22.669,
|
| 609 |
"step": 780
|
| 610 |
},
|
| 611 |
{
|
| 612 |
"epoch": 6.076923076923077,
|
| 613 |
+
"grad_norm": 2.7967398166656494,
|
| 614 |
"learning_rate": 1.1897435897435898e-05,
|
| 615 |
+
"loss": 0.9428,
|
| 616 |
"step": 790
|
| 617 |
},
|
| 618 |
{
|
| 619 |
"epoch": 6.153846153846154,
|
| 620 |
+
"grad_norm": 2.5342345237731934,
|
| 621 |
"learning_rate": 1.1794871794871796e-05,
|
| 622 |
+
"loss": 0.9406,
|
| 623 |
"step": 800
|
| 624 |
},
|
| 625 |
{
|
| 626 |
"epoch": 6.230769230769231,
|
| 627 |
+
"grad_norm": 1.877543330192566,
|
| 628 |
"learning_rate": 1.1692307692307694e-05,
|
| 629 |
+
"loss": 0.9319,
|
| 630 |
"step": 810
|
| 631 |
},
|
| 632 |
{
|
| 633 |
"epoch": 6.3076923076923075,
|
| 634 |
+
"grad_norm": 2.4524621963500977,
|
| 635 |
"learning_rate": 1.1589743589743592e-05,
|
| 636 |
+
"loss": 0.9332,
|
| 637 |
"step": 820
|
| 638 |
},
|
| 639 |
{
|
| 640 |
"epoch": 6.384615384615385,
|
| 641 |
+
"grad_norm": 2.4967362880706787,
|
| 642 |
"learning_rate": 1.1487179487179487e-05,
|
| 643 |
+
"loss": 0.9367,
|
| 644 |
"step": 830
|
| 645 |
},
|
| 646 |
{
|
| 647 |
"epoch": 6.461538461538462,
|
| 648 |
+
"grad_norm": 3.2078776359558105,
|
| 649 |
"learning_rate": 1.1384615384615385e-05,
|
| 650 |
+
"loss": 0.9339,
|
| 651 |
"step": 840
|
| 652 |
},
|
| 653 |
{
|
| 654 |
"epoch": 6.538461538461538,
|
| 655 |
+
"grad_norm": 2.926706075668335,
|
| 656 |
"learning_rate": 1.1282051282051283e-05,
|
| 657 |
+
"loss": 0.9416,
|
| 658 |
"step": 850
|
| 659 |
},
|
| 660 |
{
|
| 661 |
"epoch": 6.615384615384615,
|
| 662 |
+
"grad_norm": 1.8625017404556274,
|
| 663 |
"learning_rate": 1.117948717948718e-05,
|
| 664 |
+
"loss": 0.9111,
|
| 665 |
"step": 860
|
| 666 |
},
|
| 667 |
{
|
| 668 |
"epoch": 6.6923076923076925,
|
| 669 |
+
"grad_norm": 2.7141189575195312,
|
| 670 |
"learning_rate": 1.1076923076923079e-05,
|
| 671 |
+
"loss": 0.9574,
|
| 672 |
"step": 870
|
| 673 |
},
|
| 674 |
{
|
| 675 |
"epoch": 6.769230769230769,
|
| 676 |
+
"grad_norm": 2.307347536087036,
|
| 677 |
"learning_rate": 1.0974358974358977e-05,
|
| 678 |
+
"loss": 0.9259,
|
| 679 |
"step": 880
|
| 680 |
},
|
| 681 |
{
|
| 682 |
"epoch": 6.846153846153846,
|
| 683 |
+
"grad_norm": 2.3937132358551025,
|
| 684 |
"learning_rate": 1.0871794871794871e-05,
|
| 685 |
+
"loss": 0.9207,
|
| 686 |
"step": 890
|
| 687 |
},
|
| 688 |
{
|
| 689 |
"epoch": 6.923076923076923,
|
| 690 |
+
"grad_norm": 3.0794668197631836,
|
| 691 |
"learning_rate": 1.076923076923077e-05,
|
| 692 |
+
"loss": 0.9418,
|
| 693 |
"step": 900
|
| 694 |
},
|
| 695 |
{
|
| 696 |
"epoch": 7.0,
|
| 697 |
+
"grad_norm": 4.111669063568115,
|
| 698 |
"learning_rate": 1.0666666666666667e-05,
|
| 699 |
+
"loss": 0.9252,
|
| 700 |
"step": 910
|
| 701 |
},
|
| 702 |
{
|
| 703 |
"epoch": 7.0,
|
| 704 |
+
"eval_accuracy": 0.7969924812030075,
|
| 705 |
+
"eval_loss": 0.8874692916870117,
|
| 706 |
+
"eval_runtime": 0.7823,
|
| 707 |
+
"eval_samples_per_second": 170.013,
|
| 708 |
+
"eval_steps_per_second": 21.731,
|
| 709 |
"step": 910
|
| 710 |
},
|
| 711 |
{
|
| 712 |
"epoch": 7.076923076923077,
|
| 713 |
+
"grad_norm": 2.7561662197113037,
|
| 714 |
"learning_rate": 1.0564102564102565e-05,
|
| 715 |
+
"loss": 0.911,
|
| 716 |
"step": 920
|
| 717 |
},
|
| 718 |
{
|
| 719 |
"epoch": 7.153846153846154,
|
| 720 |
+
"grad_norm": 3.2020223140716553,
|
| 721 |
"learning_rate": 1.0461538461538463e-05,
|
| 722 |
+
"loss": 0.912,
|
| 723 |
"step": 930
|
| 724 |
},
|
| 725 |
{
|
| 726 |
"epoch": 7.230769230769231,
|
| 727 |
+
"grad_norm": 3.459304094314575,
|
| 728 |
"learning_rate": 1.0358974358974361e-05,
|
| 729 |
+
"loss": 0.8994,
|
| 730 |
"step": 940
|
| 731 |
},
|
| 732 |
{
|
| 733 |
"epoch": 7.3076923076923075,
|
| 734 |
+
"grad_norm": 2.774078369140625,
|
| 735 |
"learning_rate": 1.0256410256410256e-05,
|
| 736 |
+
"loss": 0.9079,
|
| 737 |
"step": 950
|
| 738 |
},
|
| 739 |
{
|
| 740 |
"epoch": 7.384615384615385,
|
| 741 |
+
"grad_norm": 2.7169668674468994,
|
| 742 |
"learning_rate": 1.0153846153846154e-05,
|
| 743 |
+
"loss": 0.9256,
|
| 744 |
"step": 960
|
| 745 |
},
|
| 746 |
{
|
| 747 |
"epoch": 7.461538461538462,
|
| 748 |
+
"grad_norm": 2.171323299407959,
|
| 749 |
"learning_rate": 1.0051282051282052e-05,
|
| 750 |
+
"loss": 0.8898,
|
| 751 |
"step": 970
|
| 752 |
},
|
| 753 |
{
|
| 754 |
"epoch": 7.538461538461538,
|
| 755 |
+
"grad_norm": 2.7350351810455322,
|
| 756 |
"learning_rate": 9.94871794871795e-06,
|
| 757 |
+
"loss": 0.9243,
|
| 758 |
"step": 980
|
| 759 |
},
|
| 760 |
{
|
| 761 |
"epoch": 7.615384615384615,
|
| 762 |
+
"grad_norm": 2.3926539421081543,
|
| 763 |
"learning_rate": 9.846153846153848e-06,
|
| 764 |
+
"loss": 0.8868,
|
| 765 |
"step": 990
|
| 766 |
},
|
| 767 |
{
|
| 768 |
"epoch": 7.6923076923076925,
|
| 769 |
+
"grad_norm": 2.0602715015411377,
|
| 770 |
"learning_rate": 9.743589743589744e-06,
|
| 771 |
+
"loss": 0.8837,
|
| 772 |
"step": 1000
|
| 773 |
},
|
| 774 |
{
|
| 775 |
"epoch": 7.769230769230769,
|
| 776 |
+
"grad_norm": 2.885303497314453,
|
| 777 |
"learning_rate": 9.641025641025642e-06,
|
| 778 |
+
"loss": 0.8827,
|
| 779 |
"step": 1010
|
| 780 |
},
|
| 781 |
{
|
| 782 |
"epoch": 7.846153846153846,
|
| 783 |
+
"grad_norm": 2.261361837387085,
|
| 784 |
"learning_rate": 9.53846153846154e-06,
|
| 785 |
+
"loss": 0.9047,
|
| 786 |
"step": 1020
|
| 787 |
},
|
| 788 |
{
|
| 789 |
"epoch": 7.923076923076923,
|
| 790 |
+
"grad_norm": 2.6180179119110107,
|
| 791 |
"learning_rate": 9.435897435897436e-06,
|
| 792 |
+
"loss": 0.861,
|
| 793 |
"step": 1030
|
| 794 |
},
|
| 795 |
{
|
| 796 |
"epoch": 8.0,
|
| 797 |
+
"grad_norm": 4.225304126739502,
|
| 798 |
"learning_rate": 9.333333333333334e-06,
|
| 799 |
+
"loss": 0.9192,
|
| 800 |
"step": 1040
|
| 801 |
},
|
| 802 |
{
|
| 803 |
"epoch": 8.0,
|
| 804 |
"eval_accuracy": 0.8120300751879699,
|
| 805 |
+
"eval_loss": 0.850643515586853,
|
| 806 |
+
"eval_runtime": 0.756,
|
| 807 |
+
"eval_samples_per_second": 175.92,
|
| 808 |
+
"eval_steps_per_second": 22.486,
|
| 809 |
"step": 1040
|
| 810 |
},
|
| 811 |
{
|
| 812 |
"epoch": 8.076923076923077,
|
| 813 |
+
"grad_norm": 2.1875813007354736,
|
| 814 |
"learning_rate": 9.230769230769232e-06,
|
| 815 |
+
"loss": 0.8953,
|
| 816 |
"step": 1050
|
| 817 |
},
|
| 818 |
{
|
| 819 |
"epoch": 8.153846153846153,
|
| 820 |
+
"grad_norm": 2.1640567779541016,
|
| 821 |
"learning_rate": 9.128205128205129e-06,
|
| 822 |
+
"loss": 0.8658,
|
| 823 |
"step": 1060
|
| 824 |
},
|
| 825 |
{
|
| 826 |
"epoch": 8.23076923076923,
|
| 827 |
+
"grad_norm": 2.660614490509033,
|
| 828 |
"learning_rate": 9.025641025641027e-06,
|
| 829 |
+
"loss": 0.8995,
|
| 830 |
"step": 1070
|
| 831 |
},
|
| 832 |
{
|
| 833 |
"epoch": 8.307692307692308,
|
| 834 |
+
"grad_norm": 2.104029417037964,
|
| 835 |
"learning_rate": 8.923076923076925e-06,
|
| 836 |
+
"loss": 0.8569,
|
| 837 |
"step": 1080
|
| 838 |
},
|
| 839 |
{
|
| 840 |
"epoch": 8.384615384615385,
|
| 841 |
+
"grad_norm": 2.2643303871154785,
|
| 842 |
"learning_rate": 8.820512820512821e-06,
|
| 843 |
+
"loss": 0.8972,
|
| 844 |
"step": 1090
|
| 845 |
},
|
| 846 |
{
|
| 847 |
"epoch": 8.461538461538462,
|
| 848 |
+
"grad_norm": 2.632410764694214,
|
| 849 |
"learning_rate": 8.717948717948719e-06,
|
| 850 |
+
"loss": 0.8715,
|
| 851 |
"step": 1100
|
| 852 |
},
|
| 853 |
{
|
| 854 |
"epoch": 8.538461538461538,
|
| 855 |
+
"grad_norm": 1.6500084400177002,
|
| 856 |
"learning_rate": 8.615384615384617e-06,
|
| 857 |
+
"loss": 0.8716,
|
| 858 |
"step": 1110
|
| 859 |
},
|
| 860 |
{
|
| 861 |
"epoch": 8.615384615384615,
|
| 862 |
+
"grad_norm": 6.204855442047119,
|
| 863 |
"learning_rate": 8.512820512820513e-06,
|
| 864 |
+
"loss": 0.8985,
|
| 865 |
"step": 1120
|
| 866 |
},
|
| 867 |
{
|
| 868 |
"epoch": 8.692307692307692,
|
| 869 |
+
"grad_norm": 3.729611873626709,
|
| 870 |
"learning_rate": 8.410256410256411e-06,
|
| 871 |
+
"loss": 0.8837,
|
| 872 |
"step": 1130
|
| 873 |
},
|
| 874 |
{
|
| 875 |
"epoch": 8.76923076923077,
|
| 876 |
+
"grad_norm": 3.685739278793335,
|
| 877 |
"learning_rate": 8.307692307692309e-06,
|
| 878 |
+
"loss": 0.8865,
|
| 879 |
"step": 1140
|
| 880 |
},
|
| 881 |
{
|
| 882 |
"epoch": 8.846153846153847,
|
| 883 |
+
"grad_norm": 2.7028560638427734,
|
| 884 |
"learning_rate": 8.205128205128205e-06,
|
| 885 |
+
"loss": 0.875,
|
| 886 |
"step": 1150
|
| 887 |
},
|
| 888 |
{
|
| 889 |
"epoch": 8.923076923076923,
|
| 890 |
+
"grad_norm": 2.7692482471466064,
|
| 891 |
"learning_rate": 8.102564102564103e-06,
|
| 892 |
+
"loss": 0.8867,
|
| 893 |
"step": 1160
|
| 894 |
},
|
| 895 |
{
|
| 896 |
"epoch": 9.0,
|
| 897 |
+
"grad_norm": 3.9854462146759033,
|
| 898 |
"learning_rate": 8.000000000000001e-06,
|
| 899 |
+
"loss": 0.9008,
|
| 900 |
"step": 1170
|
| 901 |
},
|
| 902 |
{
|
| 903 |
"epoch": 9.0,
|
| 904 |
"eval_accuracy": 0.8045112781954887,
|
| 905 |
+
"eval_loss": 0.8337866067886353,
|
| 906 |
+
"eval_runtime": 0.7963,
|
| 907 |
+
"eval_samples_per_second": 167.03,
|
| 908 |
+
"eval_steps_per_second": 21.35,
|
| 909 |
"step": 1170
|
| 910 |
},
|
| 911 |
{
|
| 912 |
"epoch": 9.076923076923077,
|
| 913 |
+
"grad_norm": 1.9381572008132935,
|
| 914 |
"learning_rate": 7.897435897435898e-06,
|
| 915 |
+
"loss": 0.8969,
|
| 916 |
"step": 1180
|
| 917 |
},
|
| 918 |
{
|
| 919 |
"epoch": 9.153846153846153,
|
| 920 |
+
"grad_norm": 2.219219446182251,
|
| 921 |
"learning_rate": 7.794871794871796e-06,
|
| 922 |
+
"loss": 0.8412,
|
| 923 |
"step": 1190
|
| 924 |
},
|
| 925 |
{
|
| 926 |
"epoch": 9.23076923076923,
|
| 927 |
+
"grad_norm": 2.1302294731140137,
|
| 928 |
"learning_rate": 7.692307692307694e-06,
|
| 929 |
+
"loss": 0.8483,
|
| 930 |
"step": 1200
|
| 931 |
},
|
| 932 |
{
|
| 933 |
"epoch": 9.307692307692308,
|
| 934 |
+
"grad_norm": 2.541210174560547,
|
| 935 |
"learning_rate": 7.58974358974359e-06,
|
| 936 |
+
"loss": 0.8536,
|
| 937 |
"step": 1210
|
| 938 |
},
|
| 939 |
{
|
| 940 |
"epoch": 9.384615384615385,
|
| 941 |
+
"grad_norm": 1.952871322631836,
|
| 942 |
"learning_rate": 7.487179487179488e-06,
|
| 943 |
+
"loss": 0.8707,
|
| 944 |
"step": 1220
|
| 945 |
},
|
| 946 |
{
|
| 947 |
"epoch": 9.461538461538462,
|
| 948 |
+
"grad_norm": 3.273028612136841,
|
| 949 |
"learning_rate": 7.384615384615386e-06,
|
| 950 |
+
"loss": 0.8547,
|
| 951 |
"step": 1230
|
| 952 |
},
|
| 953 |
{
|
| 954 |
"epoch": 9.538461538461538,
|
| 955 |
+
"grad_norm": 2.6495628356933594,
|
| 956 |
"learning_rate": 7.282051282051282e-06,
|
| 957 |
+
"loss": 0.8709,
|
| 958 |
"step": 1240
|
| 959 |
},
|
| 960 |
{
|
| 961 |
"epoch": 9.615384615384615,
|
| 962 |
+
"grad_norm": 1.998024582862854,
|
| 963 |
"learning_rate": 7.17948717948718e-06,
|
| 964 |
+
"loss": 0.8278,
|
| 965 |
"step": 1250
|
| 966 |
},
|
| 967 |
{
|
| 968 |
"epoch": 9.692307692307692,
|
| 969 |
+
"grad_norm": 2.7621707916259766,
|
| 970 |
"learning_rate": 7.076923076923078e-06,
|
| 971 |
+
"loss": 0.8544,
|
| 972 |
"step": 1260
|
| 973 |
},
|
| 974 |
{
|
| 975 |
"epoch": 9.76923076923077,
|
| 976 |
+
"grad_norm": 1.844375491142273,
|
| 977 |
"learning_rate": 6.974358974358974e-06,
|
| 978 |
+
"loss": 0.8324,
|
| 979 |
"step": 1270
|
| 980 |
},
|
| 981 |
{
|
| 982 |
"epoch": 9.846153846153847,
|
| 983 |
+
"grad_norm": 2.149479866027832,
|
| 984 |
"learning_rate": 6.871794871794872e-06,
|
| 985 |
+
"loss": 0.8146,
|
| 986 |
"step": 1280
|
| 987 |
},
|
| 988 |
{
|
| 989 |
"epoch": 9.923076923076923,
|
| 990 |
+
"grad_norm": 2.2224795818328857,
|
| 991 |
"learning_rate": 6.76923076923077e-06,
|
| 992 |
+
"loss": 0.8367,
|
| 993 |
"step": 1290
|
| 994 |
},
|
| 995 |
{
|
| 996 |
"epoch": 10.0,
|
| 997 |
+
"grad_norm": 3.8497843742370605,
|
| 998 |
"learning_rate": 6.666666666666667e-06,
|
| 999 |
+
"loss": 0.8079,
|
| 1000 |
"step": 1300
|
| 1001 |
},
|
| 1002 |
{
|
| 1003 |
"epoch": 10.0,
|
| 1004 |
"eval_accuracy": 0.8421052631578947,
|
| 1005 |
+
"eval_loss": 0.8103837370872498,
|
| 1006 |
+
"eval_runtime": 0.7593,
|
| 1007 |
+
"eval_samples_per_second": 175.164,
|
| 1008 |
+
"eval_steps_per_second": 22.389,
|
| 1009 |
"step": 1300
|
| 1010 |
},
|
| 1011 |
{
|
| 1012 |
"epoch": 10.076923076923077,
|
| 1013 |
+
"grad_norm": 2.0343823432922363,
|
| 1014 |
"learning_rate": 6.564102564102565e-06,
|
| 1015 |
+
"loss": 0.8408,
|
| 1016 |
"step": 1310
|
| 1017 |
},
|
| 1018 |
{
|
| 1019 |
"epoch": 10.153846153846153,
|
| 1020 |
+
"grad_norm": 2.4245193004608154,
|
| 1021 |
"learning_rate": 6.461538461538463e-06,
|
| 1022 |
+
"loss": 0.899,
|
| 1023 |
"step": 1320
|
| 1024 |
},
|
| 1025 |
{
|
| 1026 |
"epoch": 10.23076923076923,
|
| 1027 |
+
"grad_norm": 2.3912925720214844,
|
| 1028 |
"learning_rate": 6.358974358974359e-06,
|
| 1029 |
+
"loss": 0.8758,
|
| 1030 |
"step": 1330
|
| 1031 |
},
|
| 1032 |
{
|
| 1033 |
"epoch": 10.307692307692308,
|
| 1034 |
+
"grad_norm": 2.1387076377868652,
|
| 1035 |
"learning_rate": 6.256410256410257e-06,
|
| 1036 |
+
"loss": 0.8295,
|
| 1037 |
"step": 1340
|
| 1038 |
},
|
| 1039 |
{
|
| 1040 |
"epoch": 10.384615384615385,
|
| 1041 |
+
"grad_norm": 2.142160415649414,
|
| 1042 |
"learning_rate": 6.153846153846155e-06,
|
| 1043 |
+
"loss": 0.8075,
|
| 1044 |
"step": 1350
|
| 1045 |
},
|
| 1046 |
{
|
| 1047 |
"epoch": 10.461538461538462,
|
| 1048 |
+
"grad_norm": 2.6838831901550293,
|
| 1049 |
"learning_rate": 6.051282051282051e-06,
|
| 1050 |
+
"loss": 0.8448,
|
| 1051 |
"step": 1360
|
| 1052 |
},
|
| 1053 |
{
|
| 1054 |
"epoch": 10.538461538461538,
|
| 1055 |
+
"grad_norm": 2.476369857788086,
|
| 1056 |
"learning_rate": 5.948717948717949e-06,
|
| 1057 |
+
"loss": 0.817,
|
| 1058 |
"step": 1370
|
| 1059 |
},
|
| 1060 |
{
|
| 1061 |
"epoch": 10.615384615384615,
|
| 1062 |
+
"grad_norm": 3.031463861465454,
|
| 1063 |
"learning_rate": 5.846153846153847e-06,
|
| 1064 |
+
"loss": 0.8177,
|
| 1065 |
"step": 1380
|
| 1066 |
},
|
| 1067 |
{
|
| 1068 |
"epoch": 10.692307692307692,
|
| 1069 |
+
"grad_norm": 2.2818636894226074,
|
| 1070 |
"learning_rate": 5.743589743589743e-06,
|
| 1071 |
+
"loss": 0.8124,
|
| 1072 |
"step": 1390
|
| 1073 |
},
|
| 1074 |
{
|
| 1075 |
"epoch": 10.76923076923077,
|
| 1076 |
+
"grad_norm": 3.245805263519287,
|
| 1077 |
"learning_rate": 5.641025641025641e-06,
|
| 1078 |
+
"loss": 0.8674,
|
| 1079 |
"step": 1400
|
| 1080 |
},
|
| 1081 |
{
|
| 1082 |
"epoch": 10.846153846153847,
|
| 1083 |
+
"grad_norm": 2.194627046585083,
|
| 1084 |
"learning_rate": 5.538461538461539e-06,
|
| 1085 |
+
"loss": 0.831,
|
| 1086 |
"step": 1410
|
| 1087 |
},
|
| 1088 |
{
|
| 1089 |
"epoch": 10.923076923076923,
|
| 1090 |
+
"grad_norm": 1.8149436712265015,
|
| 1091 |
"learning_rate": 5.435897435897436e-06,
|
| 1092 |
+
"loss": 0.8391,
|
| 1093 |
"step": 1420
|
| 1094 |
},
|
| 1095 |
{
|
| 1096 |
"epoch": 11.0,
|
| 1097 |
+
"grad_norm": 4.0584821701049805,
|
| 1098 |
"learning_rate": 5.333333333333334e-06,
|
| 1099 |
+
"loss": 0.8332,
|
| 1100 |
"step": 1430
|
| 1101 |
},
|
| 1102 |
{
|
| 1103 |
"epoch": 11.0,
|
| 1104 |
"eval_accuracy": 0.8345864661654135,
|
| 1105 |
+
"eval_loss": 0.7806060314178467,
|
| 1106 |
+
"eval_runtime": 0.742,
|
| 1107 |
+
"eval_samples_per_second": 179.256,
|
| 1108 |
+
"eval_steps_per_second": 22.912,
|
| 1109 |
"step": 1430
|
| 1110 |
},
|
| 1111 |
{
|
| 1112 |
"epoch": 11.076923076923077,
|
| 1113 |
+
"grad_norm": 1.9833248853683472,
|
| 1114 |
"learning_rate": 5.230769230769232e-06,
|
| 1115 |
+
"loss": 0.8484,
|
| 1116 |
"step": 1440
|
| 1117 |
},
|
| 1118 |
{
|
| 1119 |
"epoch": 11.153846153846153,
|
| 1120 |
+
"grad_norm": 5.478232383728027,
|
| 1121 |
"learning_rate": 5.128205128205128e-06,
|
| 1122 |
+
"loss": 0.8308,
|
| 1123 |
"step": 1450
|
| 1124 |
},
|
| 1125 |
{
|
| 1126 |
"epoch": 11.23076923076923,
|
| 1127 |
+
"grad_norm": 2.5792922973632812,
|
| 1128 |
"learning_rate": 5.025641025641026e-06,
|
| 1129 |
+
"loss": 0.802,
|
| 1130 |
"step": 1460
|
| 1131 |
},
|
| 1132 |
{
|
| 1133 |
"epoch": 11.307692307692308,
|
| 1134 |
+
"grad_norm": 2.730989694595337,
|
| 1135 |
"learning_rate": 4.923076923076924e-06,
|
| 1136 |
+
"loss": 0.8225,
|
| 1137 |
"step": 1470
|
| 1138 |
},
|
| 1139 |
{
|
| 1140 |
"epoch": 11.384615384615385,
|
| 1141 |
+
"grad_norm": 2.7447853088378906,
|
| 1142 |
"learning_rate": 4.820512820512821e-06,
|
| 1143 |
+
"loss": 0.8176,
|
| 1144 |
"step": 1480
|
| 1145 |
},
|
| 1146 |
{
|
| 1147 |
"epoch": 11.461538461538462,
|
| 1148 |
+
"grad_norm": 2.6465837955474854,
|
| 1149 |
"learning_rate": 4.717948717948718e-06,
|
| 1150 |
+
"loss": 0.8471,
|
| 1151 |
"step": 1490
|
| 1152 |
},
|
| 1153 |
{
|
| 1154 |
"epoch": 11.538461538461538,
|
| 1155 |
+
"grad_norm": 2.4876015186309814,
|
| 1156 |
"learning_rate": 4.615384615384616e-06,
|
| 1157 |
+
"loss": 0.8349,
|
| 1158 |
"step": 1500
|
| 1159 |
},
|
| 1160 |
{
|
| 1161 |
"epoch": 11.615384615384615,
|
| 1162 |
+
"grad_norm": 3.2605788707733154,
|
| 1163 |
"learning_rate": 4.512820512820513e-06,
|
| 1164 |
+
"loss": 0.8285,
|
| 1165 |
"step": 1510
|
| 1166 |
},
|
| 1167 |
{
|
| 1168 |
"epoch": 11.692307692307692,
|
| 1169 |
+
"grad_norm": 3.278341293334961,
|
| 1170 |
"learning_rate": 4.4102564102564104e-06,
|
| 1171 |
+
"loss": 0.8546,
|
| 1172 |
"step": 1520
|
| 1173 |
},
|
| 1174 |
{
|
| 1175 |
"epoch": 11.76923076923077,
|
| 1176 |
+
"grad_norm": 2.0945637226104736,
|
| 1177 |
"learning_rate": 4.307692307692308e-06,
|
| 1178 |
+
"loss": 0.8096,
|
| 1179 |
"step": 1530
|
| 1180 |
},
|
| 1181 |
{
|
| 1182 |
"epoch": 11.846153846153847,
|
| 1183 |
+
"grad_norm": 2.161726474761963,
|
| 1184 |
"learning_rate": 4.2051282051282055e-06,
|
| 1185 |
+
"loss": 0.7938,
|
| 1186 |
"step": 1540
|
| 1187 |
},
|
| 1188 |
{
|
| 1189 |
"epoch": 11.923076923076923,
|
| 1190 |
+
"grad_norm": 2.1052703857421875,
|
| 1191 |
"learning_rate": 4.102564102564103e-06,
|
| 1192 |
+
"loss": 0.8295,
|
| 1193 |
"step": 1550
|
| 1194 |
},
|
| 1195 |
{
|
| 1196 |
"epoch": 12.0,
|
| 1197 |
+
"grad_norm": 3.460094451904297,
|
| 1198 |
"learning_rate": 4.000000000000001e-06,
|
| 1199 |
+
"loss": 0.8103,
|
| 1200 |
"step": 1560
|
| 1201 |
},
|
| 1202 |
{
|
| 1203 |
"epoch": 12.0,
|
| 1204 |
"eval_accuracy": 0.8345864661654135,
|
| 1205 |
+
"eval_loss": 0.7585543990135193,
|
| 1206 |
+
"eval_runtime": 0.7508,
|
| 1207 |
+
"eval_samples_per_second": 177.133,
|
| 1208 |
+
"eval_steps_per_second": 22.641,
|
| 1209 |
"step": 1560
|
| 1210 |
},
|
| 1211 |
{
|
| 1212 |
"epoch": 12.076923076923077,
|
| 1213 |
+
"grad_norm": 2.943866014480591,
|
| 1214 |
"learning_rate": 3.897435897435898e-06,
|
| 1215 |
+
"loss": 0.7903,
|
| 1216 |
"step": 1570
|
| 1217 |
},
|
| 1218 |
{
|
| 1219 |
"epoch": 12.153846153846153,
|
| 1220 |
+
"grad_norm": 2.6185402870178223,
|
| 1221 |
"learning_rate": 3.794871794871795e-06,
|
| 1222 |
+
"loss": 0.8229,
|
| 1223 |
"step": 1580
|
| 1224 |
},
|
| 1225 |
{
|
| 1226 |
"epoch": 12.23076923076923,
|
| 1227 |
+
"grad_norm": 1.6378310918807983,
|
| 1228 |
"learning_rate": 3.692307692307693e-06,
|
| 1229 |
+
"loss": 0.8246,
|
| 1230 |
"step": 1590
|
| 1231 |
},
|
| 1232 |
{
|
| 1233 |
"epoch": 12.307692307692308,
|
| 1234 |
+
"grad_norm": 2.3109569549560547,
|
| 1235 |
"learning_rate": 3.58974358974359e-06,
|
| 1236 |
+
"loss": 0.8363,
|
| 1237 |
"step": 1600
|
| 1238 |
},
|
| 1239 |
{
|
| 1240 |
"epoch": 12.384615384615385,
|
| 1241 |
+
"grad_norm": 2.3602941036224365,
|
| 1242 |
"learning_rate": 3.487179487179487e-06,
|
| 1243 |
+
"loss": 0.8078,
|
| 1244 |
"step": 1610
|
| 1245 |
},
|
| 1246 |
{
|
| 1247 |
"epoch": 12.461538461538462,
|
| 1248 |
+
"grad_norm": 3.0623390674591064,
|
| 1249 |
"learning_rate": 3.384615384615385e-06,
|
| 1250 |
+
"loss": 0.794,
|
| 1251 |
"step": 1620
|
| 1252 |
},
|
| 1253 |
{
|
| 1254 |
"epoch": 12.538461538461538,
|
| 1255 |
+
"grad_norm": 2.947983741760254,
|
| 1256 |
"learning_rate": 3.2820512820512823e-06,
|
| 1257 |
+
"loss": 0.8033,
|
| 1258 |
"step": 1630
|
| 1259 |
},
|
| 1260 |
{
|
| 1261 |
"epoch": 12.615384615384615,
|
| 1262 |
+
"grad_norm": 1.8083330392837524,
|
| 1263 |
"learning_rate": 3.1794871794871795e-06,
|
| 1264 |
+
"loss": 0.8158,
|
| 1265 |
"step": 1640
|
| 1266 |
},
|
| 1267 |
{
|
| 1268 |
"epoch": 12.692307692307692,
|
| 1269 |
+
"grad_norm": 3.2873637676239014,
|
| 1270 |
"learning_rate": 3.0769230769230774e-06,
|
| 1271 |
+
"loss": 0.7651,
|
| 1272 |
"step": 1650
|
| 1273 |
},
|
| 1274 |
{
|
| 1275 |
"epoch": 12.76923076923077,
|
| 1276 |
+
"grad_norm": 2.3777670860290527,
|
| 1277 |
"learning_rate": 2.9743589743589746e-06,
|
| 1278 |
+
"loss": 0.8566,
|
| 1279 |
"step": 1660
|
| 1280 |
},
|
| 1281 |
{
|
| 1282 |
"epoch": 12.846153846153847,
|
| 1283 |
+
"grad_norm": 1.8692084550857544,
|
| 1284 |
"learning_rate": 2.8717948717948717e-06,
|
| 1285 |
+
"loss": 0.8218,
|
| 1286 |
"step": 1670
|
| 1287 |
},
|
| 1288 |
{
|
| 1289 |
"epoch": 12.923076923076923,
|
| 1290 |
+
"grad_norm": 2.2379138469696045,
|
| 1291 |
"learning_rate": 2.7692307692307697e-06,
|
| 1292 |
+
"loss": 0.7984,
|
| 1293 |
"step": 1680
|
| 1294 |
},
|
| 1295 |
{
|
| 1296 |
"epoch": 13.0,
|
| 1297 |
+
"grad_norm": 4.131476879119873,
|
| 1298 |
"learning_rate": 2.666666666666667e-06,
|
| 1299 |
+
"loss": 0.8149,
|
| 1300 |
"step": 1690
|
| 1301 |
},
|
| 1302 |
{
|
| 1303 |
"epoch": 13.0,
|
| 1304 |
"eval_accuracy": 0.8421052631578947,
|
| 1305 |
+
"eval_loss": 0.757113516330719,
|
| 1306 |
+
"eval_runtime": 0.7762,
|
| 1307 |
+
"eval_samples_per_second": 171.337,
|
| 1308 |
+
"eval_steps_per_second": 21.9,
|
| 1309 |
"step": 1690
|
| 1310 |
},
|
| 1311 |
{
|
| 1312 |
"epoch": 13.076923076923077,
|
| 1313 |
+
"grad_norm": 2.9936656951904297,
|
| 1314 |
"learning_rate": 2.564102564102564e-06,
|
| 1315 |
+
"loss": 0.7917,
|
| 1316 |
"step": 1700
|
| 1317 |
},
|
| 1318 |
{
|
| 1319 |
"epoch": 13.153846153846153,
|
| 1320 |
+
"grad_norm": 2.5392699241638184,
|
| 1321 |
"learning_rate": 2.461538461538462e-06,
|
| 1322 |
+
"loss": 0.8241,
|
| 1323 |
"step": 1710
|
| 1324 |
},
|
| 1325 |
{
|
| 1326 |
"epoch": 13.23076923076923,
|
| 1327 |
+
"grad_norm": 3.0166265964508057,
|
| 1328 |
"learning_rate": 2.358974358974359e-06,
|
| 1329 |
+
"loss": 0.8117,
|
| 1330 |
"step": 1720
|
| 1331 |
},
|
| 1332 |
{
|
| 1333 |
"epoch": 13.307692307692308,
|
| 1334 |
+
"grad_norm": 1.8728867769241333,
|
| 1335 |
"learning_rate": 2.2564102564102566e-06,
|
| 1336 |
+
"loss": 0.8155,
|
| 1337 |
"step": 1730
|
| 1338 |
},
|
| 1339 |
{
|
| 1340 |
"epoch": 13.384615384615385,
|
| 1341 |
+
"grad_norm": 2.50715708732605,
|
| 1342 |
"learning_rate": 2.153846153846154e-06,
|
| 1343 |
+
"loss": 0.7814,
|
| 1344 |
"step": 1740
|
| 1345 |
},
|
| 1346 |
{
|
| 1347 |
"epoch": 13.461538461538462,
|
| 1348 |
+
"grad_norm": 5.447348594665527,
|
| 1349 |
"learning_rate": 2.0512820512820513e-06,
|
| 1350 |
+
"loss": 0.8253,
|
| 1351 |
"step": 1750
|
| 1352 |
},
|
| 1353 |
{
|
| 1354 |
"epoch": 13.538461538461538,
|
| 1355 |
+
"grad_norm": 2.6522035598754883,
|
| 1356 |
"learning_rate": 1.948717948717949e-06,
|
| 1357 |
+
"loss": 0.8486,
|
| 1358 |
"step": 1760
|
| 1359 |
},
|
| 1360 |
{
|
| 1361 |
"epoch": 13.615384615384615,
|
| 1362 |
+
"grad_norm": 2.1300199031829834,
|
| 1363 |
"learning_rate": 1.8461538461538465e-06,
|
| 1364 |
+
"loss": 0.8027,
|
| 1365 |
"step": 1770
|
| 1366 |
},
|
| 1367 |
{
|
| 1368 |
"epoch": 13.692307692307692,
|
| 1369 |
+
"grad_norm": 2.1135923862457275,
|
| 1370 |
"learning_rate": 1.7435897435897436e-06,
|
| 1371 |
+
"loss": 0.7852,
|
| 1372 |
"step": 1780
|
| 1373 |
},
|
| 1374 |
{
|
| 1375 |
"epoch": 13.76923076923077,
|
| 1376 |
+
"grad_norm": 1.871300220489502,
|
| 1377 |
"learning_rate": 1.6410256410256412e-06,
|
| 1378 |
+
"loss": 0.8224,
|
| 1379 |
"step": 1790
|
| 1380 |
},
|
| 1381 |
{
|
| 1382 |
"epoch": 13.846153846153847,
|
| 1383 |
+
"grad_norm": 3.240356206893921,
|
| 1384 |
"learning_rate": 1.5384615384615387e-06,
|
| 1385 |
+
"loss": 0.7895,
|
| 1386 |
"step": 1800
|
| 1387 |
},
|
| 1388 |
{
|
| 1389 |
"epoch": 13.923076923076923,
|
| 1390 |
+
"grad_norm": 2.5182340145111084,
|
| 1391 |
"learning_rate": 1.4358974358974359e-06,
|
| 1392 |
+
"loss": 0.7316,
|
| 1393 |
"step": 1810
|
| 1394 |
},
|
| 1395 |
{
|
| 1396 |
"epoch": 14.0,
|
| 1397 |
+
"grad_norm": 4.281803607940674,
|
| 1398 |
"learning_rate": 1.3333333333333334e-06,
|
| 1399 |
+
"loss": 0.8186,
|
| 1400 |
"step": 1820
|
| 1401 |
},
|
| 1402 |
{
|
| 1403 |
"epoch": 14.0,
|
| 1404 |
"eval_accuracy": 0.8270676691729323,
|
| 1405 |
+
"eval_loss": 0.7540305852890015,
|
| 1406 |
+
"eval_runtime": 0.7703,
|
| 1407 |
+
"eval_samples_per_second": 172.654,
|
| 1408 |
+
"eval_steps_per_second": 22.069,
|
| 1409 |
"step": 1820
|
| 1410 |
},
|
| 1411 |
{
|
| 1412 |
"epoch": 14.076923076923077,
|
| 1413 |
+
"grad_norm": 2.050518751144409,
|
| 1414 |
"learning_rate": 1.230769230769231e-06,
|
| 1415 |
+
"loss": 0.8222,
|
| 1416 |
"step": 1830
|
| 1417 |
},
|
| 1418 |
{
|
| 1419 |
"epoch": 14.153846153846153,
|
| 1420 |
+
"grad_norm": 2.051259994506836,
|
| 1421 |
"learning_rate": 1.1282051282051283e-06,
|
| 1422 |
+
"loss": 0.7878,
|
| 1423 |
"step": 1840
|
| 1424 |
},
|
| 1425 |
{
|
| 1426 |
"epoch": 14.23076923076923,
|
| 1427 |
+
"grad_norm": 2.8861193656921387,
|
| 1428 |
"learning_rate": 1.0256410256410257e-06,
|
| 1429 |
+
"loss": 0.78,
|
| 1430 |
"step": 1850
|
| 1431 |
},
|
| 1432 |
{
|
| 1433 |
"epoch": 14.307692307692308,
|
| 1434 |
+
"grad_norm": 4.159270763397217,
|
| 1435 |
"learning_rate": 9.230769230769232e-07,
|
| 1436 |
+
"loss": 0.774,
|
| 1437 |
"step": 1860
|
| 1438 |
},
|
| 1439 |
{
|
| 1440 |
"epoch": 14.384615384615385,
|
| 1441 |
+
"grad_norm": 2.8624985218048096,
|
| 1442 |
"learning_rate": 8.205128205128206e-07,
|
| 1443 |
+
"loss": 0.7882,
|
| 1444 |
"step": 1870
|
| 1445 |
},
|
| 1446 |
{
|
| 1447 |
"epoch": 14.461538461538462,
|
| 1448 |
+
"grad_norm": 2.5051703453063965,
|
| 1449 |
"learning_rate": 7.179487179487179e-07,
|
| 1450 |
+
"loss": 0.7883,
|
| 1451 |
"step": 1880
|
| 1452 |
},
|
| 1453 |
{
|
| 1454 |
"epoch": 14.538461538461538,
|
| 1455 |
+
"grad_norm": 3.003545045852661,
|
| 1456 |
"learning_rate": 6.153846153846155e-07,
|
| 1457 |
+
"loss": 0.7817,
|
| 1458 |
"step": 1890
|
| 1459 |
},
|
| 1460 |
{
|
| 1461 |
"epoch": 14.615384615384615,
|
| 1462 |
+
"grad_norm": 2.8403878211975098,
|
| 1463 |
"learning_rate": 5.128205128205128e-07,
|
| 1464 |
+
"loss": 0.8294,
|
| 1465 |
"step": 1900
|
| 1466 |
},
|
| 1467 |
{
|
| 1468 |
"epoch": 14.692307692307692,
|
| 1469 |
+
"grad_norm": 2.124030590057373,
|
| 1470 |
"learning_rate": 4.102564102564103e-07,
|
| 1471 |
+
"loss": 0.7978,
|
| 1472 |
"step": 1910
|
| 1473 |
},
|
| 1474 |
{
|
| 1475 |
"epoch": 14.76923076923077,
|
| 1476 |
+
"grad_norm": 4.762181758880615,
|
| 1477 |
"learning_rate": 3.0769230769230774e-07,
|
| 1478 |
+
"loss": 0.8038,
|
| 1479 |
"step": 1920
|
| 1480 |
},
|
| 1481 |
{
|
| 1482 |
"epoch": 14.846153846153847,
|
| 1483 |
+
"grad_norm": 3.256133794784546,
|
| 1484 |
"learning_rate": 2.0512820512820514e-07,
|
| 1485 |
+
"loss": 0.8535,
|
| 1486 |
"step": 1930
|
| 1487 |
},
|
| 1488 |
{
|
| 1489 |
"epoch": 14.923076923076923,
|
| 1490 |
+
"grad_norm": 2.355344772338867,
|
| 1491 |
"learning_rate": 1.0256410256410257e-07,
|
| 1492 |
+
"loss": 0.7587,
|
| 1493 |
"step": 1940
|
| 1494 |
},
|
| 1495 |
{
|
| 1496 |
"epoch": 15.0,
|
| 1497 |
+
"grad_norm": 4.202574729919434,
|
| 1498 |
"learning_rate": 0.0,
|
| 1499 |
+
"loss": 0.7929,
|
| 1500 |
"step": 1950
|
| 1501 |
},
|
| 1502 |
{
|
| 1503 |
"epoch": 15.0,
|
| 1504 |
+
"eval_accuracy": 0.8120300751879699,
|
| 1505 |
+
"eval_loss": 0.7412300109863281,
|
| 1506 |
+
"eval_runtime": 0.8087,
|
| 1507 |
+
"eval_samples_per_second": 164.47,
|
| 1508 |
+
"eval_steps_per_second": 21.022,
|
| 1509 |
"step": 1950
|
| 1510 |
},
|
| 1511 |
{
|
| 1512 |
"epoch": 15.0,
|
| 1513 |
"step": 1950,
|
| 1514 |
"total_flos": 1.5658365504595968e+17,
|
| 1515 |
+
"train_loss": 0.9236146088135548,
|
| 1516 |
+
"train_runtime": 142.953,
|
| 1517 |
+
"train_samples_per_second": 108.497,
|
| 1518 |
+
"train_steps_per_second": 13.641
|
| 1519 |
}
|
| 1520 |
],
|
| 1521 |
"logging_steps": 10,
|