End of training
Browse files- README.md +2 -2
- adapter_model.safetensors +1 -1
- all_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +921 -172
README.md
CHANGED
|
@@ -37,8 +37,8 @@ This model was trained with SFT.
|
|
| 37 |
|
| 38 |
- TRL: 0.16.0.dev0
|
| 39 |
- Transformers: 4.49.0
|
| 40 |
-
- Pytorch: 2.5.1
|
| 41 |
-
- Datasets: 3.
|
| 42 |
- Tokenizers: 0.21.1
|
| 43 |
|
| 44 |
## Citations
|
|
|
|
| 37 |
|
| 38 |
- TRL: 0.16.0.dev0
|
| 39 |
- Transformers: 4.49.0
|
| 40 |
+
- Pytorch: 2.5.1+cu124
|
| 41 |
+
- Datasets: 3.4.1
|
| 42 |
- Tokenizers: 0.21.1
|
| 43 |
|
| 44 |
## Citations
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 20497672
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:916b099548b5c7c899af145722eba0605020602659c213029a034a63e386a449
|
| 3 |
size 20497672
|
all_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"total_flos":
|
| 3 |
-
"train_loss": 0.
|
| 4 |
-
"train_runtime":
|
| 5 |
"train_samples": 93733,
|
| 6 |
-
"train_samples_per_second": 3.
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"total_flos": 1.3049081114918912e+16,
|
| 3 |
+
"train_loss": 0.6017516222759266,
|
| 4 |
+
"train_runtime": 25832.0855,
|
| 5 |
"train_samples": 93733,
|
| 6 |
+
"train_samples_per_second": 3.984,
|
| 7 |
+
"train_steps_per_second": 0.031
|
| 8 |
}
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"total_flos":
|
| 3 |
-
"train_loss": 0.
|
| 4 |
-
"train_runtime":
|
| 5 |
"train_samples": 93733,
|
| 6 |
-
"train_samples_per_second": 3.
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"total_flos": 1.3049081114918912e+16,
|
| 3 |
+
"train_loss": 0.6017516222759266,
|
| 4 |
+
"train_runtime": 25832.0855,
|
| 5 |
"train_samples": 93733,
|
| 6 |
+
"train_samples_per_second": 3.984,
|
| 7 |
+
"train_steps_per_second": 0.031
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,399 +1,1148 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch":
|
| 5 |
"eval_steps": 500,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.018656716417910446,
|
| 13 |
-
"grad_norm":
|
| 14 |
-
"learning_rate":
|
| 15 |
-
"loss": 0.
|
| 16 |
"step": 5
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.03731343283582089,
|
| 20 |
-
"grad_norm":
|
| 21 |
-
"learning_rate":
|
| 22 |
-
"loss": 0.
|
| 23 |
"step": 10
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 0.055970149253731345,
|
| 27 |
-
"grad_norm":
|
| 28 |
-
"learning_rate":
|
| 29 |
-
"loss": 0.
|
| 30 |
"step": 15
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 0.07462686567164178,
|
| 34 |
-
"grad_norm":
|
| 35 |
-
"learning_rate":
|
| 36 |
-
"loss": 0.
|
| 37 |
"step": 20
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 0.09328358208955224,
|
| 41 |
-
"grad_norm": 0.
|
| 42 |
-
"learning_rate":
|
| 43 |
-
"loss": 0.
|
| 44 |
"step": 25
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.11194029850746269,
|
| 48 |
-
"grad_norm": 0.
|
| 49 |
-
"learning_rate":
|
| 50 |
-
"loss": 0.
|
| 51 |
"step": 30
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 0.13059701492537312,
|
| 55 |
-
"grad_norm": 0.
|
| 56 |
-
"learning_rate": 4.
|
| 57 |
-
"loss": 0.
|
| 58 |
"step": 35
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"epoch": 0.14925373134328357,
|
| 62 |
-
"grad_norm": 0.
|
| 63 |
-
"learning_rate": 4.
|
| 64 |
-
"loss": 0.
|
| 65 |
"step": 40
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"epoch": 0.16791044776119404,
|
| 69 |
-
"grad_norm": 0.
|
| 70 |
-
"learning_rate": 4.
|
| 71 |
-
"loss": 0.
|
| 72 |
"step": 45
|
| 73 |
},
|
| 74 |
{
|
| 75 |
"epoch": 0.1865671641791045,
|
| 76 |
-
"grad_norm": 0.
|
| 77 |
-
"learning_rate": 4.
|
| 78 |
-
"loss": 0.
|
| 79 |
"step": 50
|
| 80 |
},
|
| 81 |
{
|
| 82 |
"epoch": 0.20522388059701493,
|
| 83 |
-
"grad_norm": 0.
|
| 84 |
-
"learning_rate": 4.
|
| 85 |
-
"loss": 0.
|
| 86 |
"step": 55
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 0.22388059701492538,
|
| 90 |
-
"grad_norm": 0.
|
| 91 |
-
"learning_rate": 4.
|
| 92 |
-
"loss": 0.
|
| 93 |
"step": 60
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"epoch": 0.24253731343283583,
|
| 97 |
-
"grad_norm": 0.
|
| 98 |
-
"learning_rate": 4.
|
| 99 |
-
"loss": 0.
|
| 100 |
"step": 65
|
| 101 |
},
|
| 102 |
{
|
| 103 |
"epoch": 0.26119402985074625,
|
| 104 |
-
"grad_norm": 0.
|
| 105 |
-
"learning_rate": 4.
|
| 106 |
-
"loss": 0.
|
| 107 |
"step": 70
|
| 108 |
},
|
| 109 |
{
|
| 110 |
"epoch": 0.2798507462686567,
|
| 111 |
-
"grad_norm": 0.
|
| 112 |
-
"learning_rate": 4.
|
| 113 |
-
"loss": 0.
|
| 114 |
"step": 75
|
| 115 |
},
|
| 116 |
{
|
| 117 |
"epoch": 0.29850746268656714,
|
| 118 |
-
"grad_norm": 0.
|
| 119 |
-
"learning_rate": 4.
|
| 120 |
-
"loss": 0.
|
| 121 |
"step": 80
|
| 122 |
},
|
| 123 |
{
|
| 124 |
"epoch": 0.31716417910447764,
|
| 125 |
-
"grad_norm": 0.
|
| 126 |
-
"learning_rate": 4.
|
| 127 |
-
"loss": 0.
|
| 128 |
"step": 85
|
| 129 |
},
|
| 130 |
{
|
| 131 |
"epoch": 0.3358208955223881,
|
| 132 |
-
"grad_norm": 0.
|
| 133 |
-
"learning_rate": 4.
|
| 134 |
-
"loss": 0.
|
| 135 |
"step": 90
|
| 136 |
},
|
| 137 |
{
|
| 138 |
"epoch": 0.35447761194029853,
|
| 139 |
-
"grad_norm": 0.
|
| 140 |
-
"learning_rate":
|
| 141 |
-
"loss": 0.
|
| 142 |
"step": 95
|
| 143 |
},
|
| 144 |
{
|
| 145 |
"epoch": 0.373134328358209,
|
| 146 |
-
"grad_norm": 0.
|
| 147 |
-
"learning_rate":
|
| 148 |
-
"loss": 0.
|
| 149 |
"step": 100
|
| 150 |
},
|
| 151 |
{
|
| 152 |
"epoch": 0.3917910447761194,
|
| 153 |
-
"grad_norm": 0.
|
| 154 |
-
"learning_rate":
|
| 155 |
-
"loss": 0.
|
| 156 |
"step": 105
|
| 157 |
},
|
| 158 |
{
|
| 159 |
"epoch": 0.41044776119402987,
|
| 160 |
-
"grad_norm": 0.
|
| 161 |
-
"learning_rate":
|
| 162 |
-
"loss": 0.
|
| 163 |
"step": 110
|
| 164 |
},
|
| 165 |
{
|
| 166 |
"epoch": 0.4291044776119403,
|
| 167 |
-
"grad_norm": 0.
|
| 168 |
-
"learning_rate":
|
| 169 |
-
"loss": 0.
|
| 170 |
"step": 115
|
| 171 |
},
|
| 172 |
{
|
| 173 |
"epoch": 0.44776119402985076,
|
| 174 |
-
"grad_norm": 0.
|
| 175 |
-
"learning_rate":
|
| 176 |
-
"loss": 0.
|
| 177 |
"step": 120
|
| 178 |
},
|
| 179 |
{
|
| 180 |
"epoch": 0.4664179104477612,
|
| 181 |
-
"grad_norm": 0.
|
| 182 |
-
"learning_rate":
|
| 183 |
-
"loss": 0.
|
| 184 |
"step": 125
|
| 185 |
},
|
| 186 |
{
|
| 187 |
"epoch": 0.48507462686567165,
|
| 188 |
-
"grad_norm": 0.
|
| 189 |
-
"learning_rate":
|
| 190 |
-
"loss": 0.
|
| 191 |
"step": 130
|
| 192 |
},
|
| 193 |
{
|
| 194 |
"epoch": 0.503731343283582,
|
| 195 |
-
"grad_norm": 0.
|
| 196 |
-
"learning_rate":
|
| 197 |
-
"loss": 0.
|
| 198 |
"step": 135
|
| 199 |
},
|
| 200 |
{
|
| 201 |
"epoch": 0.5223880597014925,
|
| 202 |
-
"grad_norm": 0.
|
| 203 |
-
"learning_rate":
|
| 204 |
-
"loss": 0.
|
| 205 |
"step": 140
|
| 206 |
},
|
| 207 |
{
|
| 208 |
"epoch": 0.5410447761194029,
|
| 209 |
-
"grad_norm": 0.
|
| 210 |
-
"learning_rate":
|
| 211 |
-
"loss": 0.
|
| 212 |
"step": 145
|
| 213 |
},
|
| 214 |
{
|
| 215 |
"epoch": 0.5597014925373134,
|
| 216 |
-
"grad_norm": 0.
|
| 217 |
-
"learning_rate":
|
| 218 |
-
"loss": 0.
|
| 219 |
"step": 150
|
| 220 |
},
|
| 221 |
{
|
| 222 |
"epoch": 0.5783582089552238,
|
| 223 |
-
"grad_norm": 0.
|
| 224 |
-
"learning_rate":
|
| 225 |
-
"loss": 0.
|
| 226 |
"step": 155
|
| 227 |
},
|
| 228 |
{
|
| 229 |
"epoch": 0.5970149253731343,
|
| 230 |
-
"grad_norm": 0.
|
| 231 |
-
"learning_rate":
|
| 232 |
-
"loss": 0.
|
| 233 |
"step": 160
|
| 234 |
},
|
| 235 |
{
|
| 236 |
"epoch": 0.6156716417910447,
|
| 237 |
-
"grad_norm": 0.
|
| 238 |
-
"learning_rate":
|
| 239 |
-
"loss": 0.
|
| 240 |
"step": 165
|
| 241 |
},
|
| 242 |
{
|
| 243 |
"epoch": 0.6343283582089553,
|
| 244 |
-
"grad_norm": 0.
|
| 245 |
-
"learning_rate":
|
| 246 |
-
"loss": 0.
|
| 247 |
"step": 170
|
| 248 |
},
|
| 249 |
{
|
| 250 |
"epoch": 0.6529850746268657,
|
| 251 |
-
"grad_norm": 0.
|
| 252 |
-
"learning_rate":
|
| 253 |
-
"loss": 0.
|
| 254 |
"step": 175
|
| 255 |
},
|
| 256 |
{
|
| 257 |
"epoch": 0.6716417910447762,
|
| 258 |
-
"grad_norm": 0.
|
| 259 |
-
"learning_rate":
|
| 260 |
-
"loss": 0.
|
| 261 |
"step": 180
|
| 262 |
},
|
| 263 |
{
|
| 264 |
"epoch": 0.6902985074626866,
|
| 265 |
-
"grad_norm": 0.
|
| 266 |
-
"learning_rate":
|
| 267 |
-
"loss": 0.
|
| 268 |
"step": 185
|
| 269 |
},
|
| 270 |
{
|
| 271 |
"epoch": 0.7089552238805971,
|
| 272 |
-
"grad_norm": 0.
|
| 273 |
-
"learning_rate":
|
| 274 |
-
"loss": 0.
|
| 275 |
"step": 190
|
| 276 |
},
|
| 277 |
{
|
| 278 |
"epoch": 0.7276119402985075,
|
| 279 |
-
"grad_norm": 0.
|
| 280 |
-
"learning_rate":
|
| 281 |
-
"loss": 0.
|
| 282 |
"step": 195
|
| 283 |
},
|
| 284 |
{
|
| 285 |
"epoch": 0.746268656716418,
|
| 286 |
-
"grad_norm": 0.
|
| 287 |
-
"learning_rate":
|
| 288 |
-
"loss": 0.
|
| 289 |
"step": 200
|
| 290 |
},
|
| 291 |
{
|
| 292 |
"epoch": 0.7649253731343284,
|
| 293 |
-
"grad_norm": 0.
|
| 294 |
-
"learning_rate":
|
| 295 |
-
"loss": 0.
|
| 296 |
"step": 205
|
| 297 |
},
|
| 298 |
{
|
| 299 |
"epoch": 0.7835820895522388,
|
| 300 |
-
"grad_norm": 0.
|
| 301 |
-
"learning_rate":
|
| 302 |
-
"loss": 0.
|
| 303 |
"step": 210
|
| 304 |
},
|
| 305 |
{
|
| 306 |
"epoch": 0.8022388059701493,
|
| 307 |
-
"grad_norm": 0.
|
| 308 |
-
"learning_rate":
|
| 309 |
-
"loss": 0.
|
| 310 |
"step": 215
|
| 311 |
},
|
| 312 |
{
|
| 313 |
"epoch": 0.8208955223880597,
|
| 314 |
-
"grad_norm": 0.
|
| 315 |
-
"learning_rate":
|
| 316 |
-
"loss": 0.
|
| 317 |
"step": 220
|
| 318 |
},
|
| 319 |
{
|
| 320 |
"epoch": 0.8395522388059702,
|
| 321 |
-
"grad_norm": 0.
|
| 322 |
-
"learning_rate":
|
| 323 |
-
"loss": 0.
|
| 324 |
"step": 225
|
| 325 |
},
|
| 326 |
{
|
| 327 |
"epoch": 0.8582089552238806,
|
| 328 |
-
"grad_norm": 0.
|
| 329 |
-
"learning_rate":
|
| 330 |
-
"loss": 0.
|
| 331 |
"step": 230
|
| 332 |
},
|
| 333 |
{
|
| 334 |
"epoch": 0.8768656716417911,
|
| 335 |
-
"grad_norm": 0.
|
| 336 |
-
"learning_rate":
|
| 337 |
-
"loss": 0.
|
| 338 |
"step": 235
|
| 339 |
},
|
| 340 |
{
|
| 341 |
"epoch": 0.8955223880597015,
|
| 342 |
-
"grad_norm": 0.
|
| 343 |
-
"learning_rate":
|
| 344 |
-
"loss": 0.
|
| 345 |
"step": 240
|
| 346 |
},
|
| 347 |
{
|
| 348 |
"epoch": 0.914179104477612,
|
| 349 |
-
"grad_norm": 0.
|
| 350 |
-
"learning_rate":
|
| 351 |
-
"loss": 0.
|
| 352 |
"step": 245
|
| 353 |
},
|
| 354 |
{
|
| 355 |
"epoch": 0.9328358208955224,
|
| 356 |
-
"grad_norm": 0.
|
| 357 |
-
"learning_rate":
|
| 358 |
-
"loss": 0.
|
| 359 |
"step": 250
|
| 360 |
},
|
| 361 |
{
|
| 362 |
"epoch": 0.9514925373134329,
|
| 363 |
-
"grad_norm": 0.
|
| 364 |
-
"learning_rate":
|
| 365 |
-
"loss": 0.
|
| 366 |
"step": 255
|
| 367 |
},
|
| 368 |
{
|
| 369 |
"epoch": 0.9701492537313433,
|
| 370 |
-
"grad_norm": 0.
|
| 371 |
-
"learning_rate":
|
| 372 |
-
"loss": 0.
|
| 373 |
"step": 260
|
| 374 |
},
|
| 375 |
{
|
| 376 |
"epoch": 0.9888059701492538,
|
| 377 |
-
"grad_norm": 0.
|
| 378 |
-
"learning_rate":
|
| 379 |
-
"loss": 0.
|
| 380 |
"step": 265
|
| 381 |
},
|
| 382 |
{
|
| 383 |
-
"epoch": 1.
|
| 384 |
-
"
|
| 385 |
-
"
|
| 386 |
-
"
|
| 387 |
-
"
|
| 388 |
-
|
| 389 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 390 |
}
|
| 391 |
],
|
| 392 |
"logging_steps": 5,
|
| 393 |
-
"max_steps":
|
| 394 |
"num_input_tokens_seen": 0,
|
| 395 |
-
"num_train_epochs":
|
| 396 |
-
"save_steps":
|
| 397 |
"stateful_callbacks": {
|
| 398 |
"TrainerControl": {
|
| 399 |
"args": {
|
|
@@ -406,7 +1155,7 @@
|
|
| 406 |
"attributes": {}
|
| 407 |
}
|
| 408 |
},
|
| 409 |
-
"total_flos":
|
| 410 |
"train_batch_size": 1,
|
| 411 |
"trial_name": null,
|
| 412 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
"eval_steps": 500,
|
| 6 |
+
"global_step": 804,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.018656716417910446,
|
| 13 |
+
"grad_norm": 3.6549656925784713,
|
| 14 |
+
"learning_rate": 6.0975609756097564e-06,
|
| 15 |
+
"loss": 0.8899,
|
| 16 |
"step": 5
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.03731343283582089,
|
| 20 |
+
"grad_norm": 5.025090574937554,
|
| 21 |
+
"learning_rate": 1.2195121951219513e-05,
|
| 22 |
+
"loss": 0.8747,
|
| 23 |
"step": 10
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 0.055970149253731345,
|
| 27 |
+
"grad_norm": 2.342131675091634,
|
| 28 |
+
"learning_rate": 1.8292682926829268e-05,
|
| 29 |
+
"loss": 0.8338,
|
| 30 |
"step": 15
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 0.07462686567164178,
|
| 34 |
+
"grad_norm": 1.1494234292820684,
|
| 35 |
+
"learning_rate": 2.4390243902439026e-05,
|
| 36 |
+
"loss": 0.7846,
|
| 37 |
"step": 20
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 0.09328358208955224,
|
| 41 |
+
"grad_norm": 0.8632261864875254,
|
| 42 |
+
"learning_rate": 3.048780487804878e-05,
|
| 43 |
+
"loss": 0.7428,
|
| 44 |
"step": 25
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.11194029850746269,
|
| 48 |
+
"grad_norm": 0.657426681372709,
|
| 49 |
+
"learning_rate": 3.6585365853658535e-05,
|
| 50 |
+
"loss": 0.7252,
|
| 51 |
"step": 30
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 0.13059701492537312,
|
| 55 |
+
"grad_norm": 0.5368416614080481,
|
| 56 |
+
"learning_rate": 4.26829268292683e-05,
|
| 57 |
+
"loss": 0.7007,
|
| 58 |
"step": 35
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"epoch": 0.14925373134328357,
|
| 62 |
+
"grad_norm": 0.46353463964140496,
|
| 63 |
+
"learning_rate": 4.878048780487805e-05,
|
| 64 |
+
"loss": 0.6861,
|
| 65 |
"step": 40
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"epoch": 0.16791044776119404,
|
| 69 |
+
"grad_norm": 0.44636564035173865,
|
| 70 |
+
"learning_rate": 4.999694850011677e-05,
|
| 71 |
+
"loss": 0.6822,
|
| 72 |
"step": 45
|
| 73 |
},
|
| 74 |
{
|
| 75 |
"epoch": 0.1865671641791045,
|
| 76 |
+
"grad_norm": 0.4138434792991525,
|
| 77 |
+
"learning_rate": 4.998455320039942e-05,
|
| 78 |
+
"loss": 0.6609,
|
| 79 |
"step": 50
|
| 80 |
},
|
| 81 |
{
|
| 82 |
"epoch": 0.20522388059701493,
|
| 83 |
+
"grad_norm": 0.422728596552499,
|
| 84 |
+
"learning_rate": 4.9962628631365625e-05,
|
| 85 |
+
"loss": 0.6614,
|
| 86 |
"step": 55
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 0.22388059701492538,
|
| 90 |
+
"grad_norm": 0.38581935884056645,
|
| 91 |
+
"learning_rate": 4.9931184084955565e-05,
|
| 92 |
+
"loss": 0.6551,
|
| 93 |
"step": 60
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"epoch": 0.24253731343283583,
|
| 97 |
+
"grad_norm": 0.38792106424667805,
|
| 98 |
+
"learning_rate": 4.989023288780946e-05,
|
| 99 |
+
"loss": 0.644,
|
| 100 |
"step": 65
|
| 101 |
},
|
| 102 |
{
|
| 103 |
"epoch": 0.26119402985074625,
|
| 104 |
+
"grad_norm": 0.35124973951258276,
|
| 105 |
+
"learning_rate": 4.9839792395619594e-05,
|
| 106 |
+
"loss": 0.6397,
|
| 107 |
"step": 70
|
| 108 |
},
|
| 109 |
{
|
| 110 |
"epoch": 0.2798507462686567,
|
| 111 |
+
"grad_norm": 0.39928220528883474,
|
| 112 |
+
"learning_rate": 4.977988398577472e-05,
|
| 113 |
+
"loss": 0.6374,
|
| 114 |
"step": 75
|
| 115 |
},
|
| 116 |
{
|
| 117 |
"epoch": 0.29850746268656714,
|
| 118 |
+
"grad_norm": 0.390200695997598,
|
| 119 |
+
"learning_rate": 4.971053304830001e-05,
|
| 120 |
+
"loss": 0.6361,
|
| 121 |
"step": 80
|
| 122 |
},
|
| 123 |
{
|
| 124 |
"epoch": 0.31716417910447764,
|
| 125 |
+
"grad_norm": 0.38998393581603685,
|
| 126 |
+
"learning_rate": 4.96317689750964e-05,
|
| 127 |
+
"loss": 0.6315,
|
| 128 |
"step": 85
|
| 129 |
},
|
| 130 |
{
|
| 131 |
"epoch": 0.3358208955223881,
|
| 132 |
+
"grad_norm": 0.3977052204753468,
|
| 133 |
+
"learning_rate": 4.954362514748392e-05,
|
| 134 |
+
"loss": 0.6343,
|
| 135 |
"step": 90
|
| 136 |
},
|
| 137 |
{
|
| 138 |
"epoch": 0.35447761194029853,
|
| 139 |
+
"grad_norm": 0.3799021008048012,
|
| 140 |
+
"learning_rate": 4.9446138922054206e-05,
|
| 141 |
+
"loss": 0.6326,
|
| 142 |
"step": 95
|
| 143 |
},
|
| 144 |
{
|
| 145 |
"epoch": 0.373134328358209,
|
| 146 |
+
"grad_norm": 0.42417763729903135,
|
| 147 |
+
"learning_rate": 4.933935161483824e-05,
|
| 148 |
+
"loss": 0.628,
|
| 149 |
"step": 100
|
| 150 |
},
|
| 151 |
{
|
| 152 |
"epoch": 0.3917910447761194,
|
| 153 |
+
"grad_norm": 0.4175425415930285,
|
| 154 |
+
"learning_rate": 4.922330848379606e-05,
|
| 155 |
+
"loss": 0.6244,
|
| 156 |
"step": 105
|
| 157 |
},
|
| 158 |
{
|
| 159 |
"epoch": 0.41044776119402987,
|
| 160 |
+
"grad_norm": 0.3780496454852693,
|
| 161 |
+
"learning_rate": 4.909805870963577e-05,
|
| 162 |
+
"loss": 0.6316,
|
| 163 |
"step": 110
|
| 164 |
},
|
| 165 |
{
|
| 166 |
"epoch": 0.4291044776119403,
|
| 167 |
+
"grad_norm": 0.43250766991726497,
|
| 168 |
+
"learning_rate": 4.89636553749701e-05,
|
| 169 |
+
"loss": 0.6219,
|
| 170 |
"step": 115
|
| 171 |
},
|
| 172 |
{
|
| 173 |
"epoch": 0.44776119402985076,
|
| 174 |
+
"grad_norm": 0.45900715839677686,
|
| 175 |
+
"learning_rate": 4.882015544181922e-05,
|
| 176 |
+
"loss": 0.6234,
|
| 177 |
"step": 120
|
| 178 |
},
|
| 179 |
{
|
| 180 |
"epoch": 0.4664179104477612,
|
| 181 |
+
"grad_norm": 0.3801562720208039,
|
| 182 |
+
"learning_rate": 4.866761972746946e-05,
|
| 183 |
+
"loss": 0.6203,
|
| 184 |
"step": 125
|
| 185 |
},
|
| 186 |
{
|
| 187 |
"epoch": 0.48507462686567165,
|
| 188 |
+
"grad_norm": 0.40763368662979566,
|
| 189 |
+
"learning_rate": 4.850611287869809e-05,
|
| 190 |
+
"loss": 0.6192,
|
| 191 |
"step": 130
|
| 192 |
},
|
| 193 |
{
|
| 194 |
"epoch": 0.503731343283582,
|
| 195 |
+
"grad_norm": 0.387695878234886,
|
| 196 |
+
"learning_rate": 4.833570334437505e-05,
|
| 197 |
+
"loss": 0.6158,
|
| 198 |
"step": 135
|
| 199 |
},
|
| 200 |
{
|
| 201 |
"epoch": 0.5223880597014925,
|
| 202 |
+
"grad_norm": 0.3594282184260463,
|
| 203 |
+
"learning_rate": 4.8156463346453454e-05,
|
| 204 |
+
"loss": 0.6218,
|
| 205 |
"step": 140
|
| 206 |
},
|
| 207 |
{
|
| 208 |
"epoch": 0.5410447761194029,
|
| 209 |
+
"grad_norm": 0.38751010489421944,
|
| 210 |
+
"learning_rate": 4.7968468849360844e-05,
|
| 211 |
+
"loss": 0.6137,
|
| 212 |
"step": 145
|
| 213 |
},
|
| 214 |
{
|
| 215 |
"epoch": 0.5597014925373134,
|
| 216 |
+
"grad_norm": 0.44064154866322297,
|
| 217 |
+
"learning_rate": 4.777179952780443e-05,
|
| 218 |
+
"loss": 0.6124,
|
| 219 |
"step": 150
|
| 220 |
},
|
| 221 |
{
|
| 222 |
"epoch": 0.5783582089552238,
|
| 223 |
+
"grad_norm": 0.3950056095751924,
|
| 224 |
+
"learning_rate": 4.756653873300381e-05,
|
| 225 |
+
"loss": 0.6123,
|
| 226 |
"step": 155
|
| 227 |
},
|
| 228 |
{
|
| 229 |
"epoch": 0.5970149253731343,
|
| 230 |
+
"grad_norm": 0.3802169516389078,
|
| 231 |
+
"learning_rate": 4.735277345736555e-05,
|
| 232 |
+
"loss": 0.6101,
|
| 233 |
"step": 160
|
| 234 |
},
|
| 235 |
{
|
| 236 |
"epoch": 0.6156716417910447,
|
| 237 |
+
"grad_norm": 0.5190273440198148,
|
| 238 |
+
"learning_rate": 4.713059429761462e-05,
|
| 239 |
+
"loss": 0.6092,
|
| 240 |
"step": 165
|
| 241 |
},
|
| 242 |
{
|
| 243 |
"epoch": 0.6343283582089553,
|
| 244 |
+
"grad_norm": 0.47079908923901587,
|
| 245 |
+
"learning_rate": 4.690009541639818e-05,
|
| 246 |
+
"loss": 0.6094,
|
| 247 |
"step": 170
|
| 248 |
},
|
| 249 |
{
|
| 250 |
"epoch": 0.6529850746268657,
|
| 251 |
+
"grad_norm": 0.4315284363771648,
|
| 252 |
+
"learning_rate": 4.666137450237816e-05,
|
| 253 |
+
"loss": 0.6095,
|
| 254 |
"step": 175
|
| 255 |
},
|
| 256 |
{
|
| 257 |
"epoch": 0.6716417910447762,
|
| 258 |
+
"grad_norm": 0.40236134418201497,
|
| 259 |
+
"learning_rate": 4.641453272882943e-05,
|
| 260 |
+
"loss": 0.6009,
|
| 261 |
"step": 180
|
| 262 |
},
|
| 263 |
{
|
| 264 |
"epoch": 0.6902985074626866,
|
| 265 |
+
"grad_norm": 0.43576469418064606,
|
| 266 |
+
"learning_rate": 4.615967471076114e-05,
|
| 267 |
+
"loss": 0.6043,
|
| 268 |
"step": 185
|
| 269 |
},
|
| 270 |
{
|
| 271 |
"epoch": 0.7089552238805971,
|
| 272 |
+
"grad_norm": 0.3924375734617119,
|
| 273 |
+
"learning_rate": 4.5896908460579396e-05,
|
| 274 |
+
"loss": 0.6082,
|
| 275 |
"step": 190
|
| 276 |
},
|
| 277 |
{
|
| 278 |
"epoch": 0.7276119402985075,
|
| 279 |
+
"grad_norm": 0.37813678352592345,
|
| 280 |
+
"learning_rate": 4.562634534231012e-05,
|
| 281 |
+
"loss": 0.6111,
|
| 282 |
"step": 195
|
| 283 |
},
|
| 284 |
{
|
| 285 |
"epoch": 0.746268656716418,
|
| 286 |
+
"grad_norm": 0.4255214995928645,
|
| 287 |
+
"learning_rate": 4.5348100024401387e-05,
|
| 288 |
+
"loss": 0.6053,
|
| 289 |
"step": 200
|
| 290 |
},
|
| 291 |
{
|
| 292 |
"epoch": 0.7649253731343284,
|
| 293 |
+
"grad_norm": 0.4230323004235886,
|
| 294 |
+
"learning_rate": 4.5062290431125306e-05,
|
| 295 |
+
"loss": 0.6021,
|
| 296 |
"step": 205
|
| 297 |
},
|
| 298 |
{
|
| 299 |
"epoch": 0.7835820895522388,
|
| 300 |
+
"grad_norm": 0.3891283415062517,
|
| 301 |
+
"learning_rate": 4.476903769260014e-05,
|
| 302 |
+
"loss": 0.6074,
|
| 303 |
"step": 210
|
| 304 |
},
|
| 305 |
{
|
| 306 |
"epoch": 0.8022388059701493,
|
| 307 |
+
"grad_norm": 0.359821193476202,
|
| 308 |
+
"learning_rate": 4.4468466093453555e-05,
|
| 309 |
+
"loss": 0.6011,
|
| 310 |
"step": 215
|
| 311 |
},
|
| 312 |
{
|
| 313 |
"epoch": 0.8208955223880597,
|
| 314 |
+
"grad_norm": 0.3922321010105192,
|
| 315 |
+
"learning_rate": 4.416070302014912e-05,
|
| 316 |
+
"loss": 0.6012,
|
| 317 |
"step": 220
|
| 318 |
},
|
| 319 |
{
|
| 320 |
"epoch": 0.8395522388059702,
|
| 321 |
+
"grad_norm": 0.4054255182956602,
|
| 322 |
+
"learning_rate": 4.384587890699813e-05,
|
| 323 |
+
"loss": 0.6078,
|
| 324 |
"step": 225
|
| 325 |
},
|
| 326 |
{
|
| 327 |
"epoch": 0.8582089552238806,
|
| 328 |
+
"grad_norm": 0.46435941050583623,
|
| 329 |
+
"learning_rate": 4.352412718087967e-05,
|
| 330 |
+
"loss": 0.6036,
|
| 331 |
"step": 230
|
| 332 |
},
|
| 333 |
{
|
| 334 |
"epoch": 0.8768656716417911,
|
| 335 |
+
"grad_norm": 0.4515063244889334,
|
| 336 |
+
"learning_rate": 4.31955842046925e-05,
|
| 337 |
+
"loss": 0.6037,
|
| 338 |
"step": 235
|
| 339 |
},
|
| 340 |
{
|
| 341 |
"epoch": 0.8955223880597015,
|
| 342 |
+
"grad_norm": 0.3782429863515032,
|
| 343 |
+
"learning_rate": 4.2860389219562457e-05,
|
| 344 |
+
"loss": 0.5992,
|
| 345 |
"step": 240
|
| 346 |
},
|
| 347 |
{
|
| 348 |
"epoch": 0.914179104477612,
|
| 349 |
+
"grad_norm": 0.3861236280491249,
|
| 350 |
+
"learning_rate": 4.25186842858302e-05,
|
| 351 |
+
"loss": 0.603,
|
| 352 |
"step": 245
|
| 353 |
},
|
| 354 |
{
|
| 355 |
"epoch": 0.9328358208955224,
|
| 356 |
+
"grad_norm": 0.36429692137779823,
|
| 357 |
+
"learning_rate": 4.217061422284397e-05,
|
| 358 |
+
"loss": 0.5994,
|
| 359 |
"step": 250
|
| 360 |
},
|
| 361 |
{
|
| 362 |
"epoch": 0.9514925373134329,
|
| 363 |
+
"grad_norm": 0.4118616829934472,
|
| 364 |
+
"learning_rate": 4.181632654758317e-05,
|
| 365 |
+
"loss": 0.5949,
|
| 366 |
"step": 255
|
| 367 |
},
|
| 368 |
{
|
| 369 |
"epoch": 0.9701492537313433,
|
| 370 |
+
"grad_norm": 0.41043315907009315,
|
| 371 |
+
"learning_rate": 4.145597141213857e-05,
|
| 372 |
+
"loss": 0.5986,
|
| 373 |
"step": 260
|
| 374 |
},
|
| 375 |
{
|
| 376 |
"epoch": 0.9888059701492538,
|
| 377 |
+
"grad_norm": 0.39055993718072285,
|
| 378 |
+
"learning_rate": 4.1089701540075746e-05,
|
| 379 |
+
"loss": 0.6022,
|
| 380 |
"step": 265
|
| 381 |
},
|
| 382 |
{
|
| 383 |
+
"epoch": 1.007462686567164,
|
| 384 |
+
"grad_norm": 0.3847644920200864,
|
| 385 |
+
"learning_rate": 4.07176721617087e-05,
|
| 386 |
+
"loss": 0.5929,
|
| 387 |
+
"step": 270
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 1.0261194029850746,
|
| 391 |
+
"grad_norm": 0.41157541834436956,
|
| 392 |
+
"learning_rate": 4.034004094831106e-05,
|
| 393 |
+
"loss": 0.595,
|
| 394 |
+
"step": 275
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 1.044776119402985,
|
| 398 |
+
"grad_norm": 0.4187910574304168,
|
| 399 |
+
"learning_rate": 3.995696794529279e-05,
|
| 400 |
+
"loss": 0.5958,
|
| 401 |
+
"step": 280
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.0634328358208955,
|
| 405 |
+
"grad_norm": 0.3752055081771545,
|
| 406 |
+
"learning_rate": 3.9568615504370675e-05,
|
| 407 |
+
"loss": 0.5961,
|
| 408 |
+
"step": 285
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 1.0820895522388059,
|
| 412 |
+
"grad_norm": 0.42027998796322924,
|
| 413 |
+
"learning_rate": 3.9175148214761445e-05,
|
| 414 |
+
"loss": 0.5855,
|
| 415 |
+
"step": 290
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 1.1007462686567164,
|
| 419 |
+
"grad_norm": 0.43658130712850085,
|
| 420 |
+
"learning_rate": 3.877673283342647e-05,
|
| 421 |
+
"loss": 0.5938,
|
| 422 |
+
"step": 295
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.1194029850746268,
|
| 426 |
+
"grad_norm": 0.430457565646321,
|
| 427 |
+
"learning_rate": 3.8373538214397895e-05,
|
| 428 |
+
"loss": 0.5889,
|
| 429 |
+
"step": 300
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 1.1380597014925373,
|
| 433 |
+
"grad_norm": 0.369429450742487,
|
| 434 |
+
"learning_rate": 3.796573523721588e-05,
|
| 435 |
+
"loss": 0.5917,
|
| 436 |
+
"step": 305
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 1.1567164179104479,
|
| 440 |
+
"grad_norm": 0.35118841190764827,
|
| 441 |
+
"learning_rate": 3.755349673450747e-05,
|
| 442 |
+
"loss": 0.5897,
|
| 443 |
+
"step": 310
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 1.1753731343283582,
|
| 447 |
+
"grad_norm": 0.43036161901845593,
|
| 448 |
+
"learning_rate": 3.713699741873769e-05,
|
| 449 |
+
"loss": 0.5899,
|
| 450 |
+
"step": 315
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 1.1940298507462686,
|
| 454 |
+
"grad_norm": 0.39048195458912954,
|
| 455 |
+
"learning_rate": 3.6716413808163996e-05,
|
| 456 |
+
"loss": 0.5919,
|
| 457 |
+
"step": 320
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 1.212686567164179,
|
| 461 |
+
"grad_norm": 0.38357903651062303,
|
| 462 |
+
"learning_rate": 3.6291924152025287e-05,
|
| 463 |
+
"loss": 0.59,
|
| 464 |
+
"step": 325
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 1.2313432835820897,
|
| 468 |
+
"grad_norm": 0.4362556920006053,
|
| 469 |
+
"learning_rate": 3.5863708354997426e-05,
|
| 470 |
+
"loss": 0.5872,
|
| 471 |
+
"step": 330
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 1.25,
|
| 475 |
+
"grad_norm": 0.38432808337966534,
|
| 476 |
+
"learning_rate": 3.5431947900947086e-05,
|
| 477 |
+
"loss": 0.5923,
|
| 478 |
+
"step": 335
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 1.2686567164179103,
|
| 482 |
+
"grad_norm": 0.3682629714132096,
|
| 483 |
+
"learning_rate": 3.499682577601638e-05,
|
| 484 |
+
"loss": 0.5834,
|
| 485 |
+
"step": 340
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 1.287313432835821,
|
| 489 |
+
"grad_norm": 0.4315330247371912,
|
| 490 |
+
"learning_rate": 3.455852639107071e-05,
|
| 491 |
+
"loss": 0.5896,
|
| 492 |
+
"step": 345
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 1.3059701492537314,
|
| 496 |
+
"grad_norm": 0.3629622380785368,
|
| 497 |
+
"learning_rate": 3.4117235503542874e-05,
|
| 498 |
+
"loss": 0.5871,
|
| 499 |
+
"step": 350
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 1.3246268656716418,
|
| 503 |
+
"grad_norm": 0.3922640004199405,
|
| 504 |
+
"learning_rate": 3.3673140138706474e-05,
|
| 505 |
+
"loss": 0.5914,
|
| 506 |
+
"step": 355
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 1.3432835820895521,
|
| 510 |
+
"grad_norm": 0.35817834691642214,
|
| 511 |
+
"learning_rate": 3.322642851041199e-05,
|
| 512 |
+
"loss": 0.5853,
|
| 513 |
+
"step": 360
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 1.3619402985074627,
|
| 517 |
+
"grad_norm": 0.3816232424070772,
|
| 518 |
+
"learning_rate": 3.277728994131904e-05,
|
| 519 |
+
"loss": 0.5824,
|
| 520 |
+
"step": 365
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 1.3805970149253732,
|
| 524 |
+
"grad_norm": 0.4132410785960827,
|
| 525 |
+
"learning_rate": 3.232591478265887e-05,
|
| 526 |
+
"loss": 0.5934,
|
| 527 |
+
"step": 370
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 1.3992537313432836,
|
| 531 |
+
"grad_norm": 0.36404595249873795,
|
| 532 |
+
"learning_rate": 3.187249433356076e-05,
|
| 533 |
+
"loss": 0.5874,
|
| 534 |
+
"step": 375
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 1.417910447761194,
|
| 538 |
+
"grad_norm": 0.38024271420241285,
|
| 539 |
+
"learning_rate": 3.141722075997681e-05,
|
| 540 |
+
"loss": 0.5867,
|
| 541 |
+
"step": 380
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 1.4365671641791045,
|
| 545 |
+
"grad_norm": 0.3334177836252411,
|
| 546 |
+
"learning_rate": 3.096028701323926e-05,
|
| 547 |
+
"loss": 0.5808,
|
| 548 |
+
"step": 385
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 1.455223880597015,
|
| 552 |
+
"grad_norm": 0.35555456743280156,
|
| 553 |
+
"learning_rate": 3.050188674828507e-05,
|
| 554 |
+
"loss": 0.5833,
|
| 555 |
+
"step": 390
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 1.4738805970149254,
|
| 559 |
+
"grad_norm": 0.3563293906188617,
|
| 560 |
+
"learning_rate": 3.00422142415822e-05,
|
| 561 |
+
"loss": 0.5794,
|
| 562 |
+
"step": 395
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 1.4925373134328357,
|
| 566 |
+
"grad_norm": 0.37347508205822805,
|
| 567 |
+
"learning_rate": 2.958146430879254e-05,
|
| 568 |
+
"loss": 0.5838,
|
| 569 |
+
"step": 400
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 1.5111940298507462,
|
| 573 |
+
"grad_norm": 0.3636667109098333,
|
| 574 |
+
"learning_rate": 2.9119832222206262e-05,
|
| 575 |
+
"loss": 0.578,
|
| 576 |
+
"step": 405
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 1.5298507462686568,
|
| 580 |
+
"grad_norm": 0.41991140965552654,
|
| 581 |
+
"learning_rate": 2.8657513627982702e-05,
|
| 582 |
+
"loss": 0.5824,
|
| 583 |
+
"step": 410
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 1.5485074626865671,
|
| 587 |
+
"grad_norm": 0.3847464343971541,
|
| 588 |
+
"learning_rate": 2.8194704463232792e-05,
|
| 589 |
+
"loss": 0.588,
|
| 590 |
+
"step": 415
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 1.5671641791044775,
|
| 594 |
+
"grad_norm": 0.35032797152530204,
|
| 595 |
+
"learning_rate": 2.7731600872978102e-05,
|
| 596 |
+
"loss": 0.5842,
|
| 597 |
+
"step": 420
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 1.585820895522388,
|
| 601 |
+
"grad_norm": 0.3656500421389817,
|
| 602 |
+
"learning_rate": 2.726839912702191e-05,
|
| 603 |
+
"loss": 0.5867,
|
| 604 |
+
"step": 425
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 1.6044776119402986,
|
| 608 |
+
"grad_norm": 0.40068784377780137,
|
| 609 |
+
"learning_rate": 2.6805295536767224e-05,
|
| 610 |
+
"loss": 0.5851,
|
| 611 |
+
"step": 430
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 1.623134328358209,
|
| 615 |
+
"grad_norm": 0.321173003139559,
|
| 616 |
+
"learning_rate": 2.6342486372017306e-05,
|
| 617 |
+
"loss": 0.5843,
|
| 618 |
+
"step": 435
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 1.6417910447761193,
|
| 622 |
+
"grad_norm": 0.32237157232459224,
|
| 623 |
+
"learning_rate": 2.5880167777793746e-05,
|
| 624 |
+
"loss": 0.5846,
|
| 625 |
+
"step": 440
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 1.6604477611940298,
|
| 629 |
+
"grad_norm": 0.3520631416157162,
|
| 630 |
+
"learning_rate": 2.5418535691207464e-05,
|
| 631 |
+
"loss": 0.5869,
|
| 632 |
+
"step": 445
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 1.6791044776119404,
|
| 636 |
+
"grad_norm": 0.35075232086508196,
|
| 637 |
+
"learning_rate": 2.49577857584178e-05,
|
| 638 |
+
"loss": 0.5783,
|
| 639 |
+
"step": 450
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 1.6977611940298507,
|
| 643 |
+
"grad_norm": 0.3292385498979277,
|
| 644 |
+
"learning_rate": 2.4498113251714936e-05,
|
| 645 |
+
"loss": 0.5875,
|
| 646 |
+
"step": 455
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 1.716417910447761,
|
| 650 |
+
"grad_norm": 0.3130865482957303,
|
| 651 |
+
"learning_rate": 2.4039712986760755e-05,
|
| 652 |
+
"loss": 0.5878,
|
| 653 |
+
"step": 460
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 1.7350746268656716,
|
| 657 |
+
"grad_norm": 0.3478733318118067,
|
| 658 |
+
"learning_rate": 2.35827792400232e-05,
|
| 659 |
+
"loss": 0.5874,
|
| 660 |
+
"step": 465
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 1.7537313432835822,
|
| 664 |
+
"grad_norm": 0.3544639262381643,
|
| 665 |
+
"learning_rate": 2.3127505666439243e-05,
|
| 666 |
+
"loss": 0.5854,
|
| 667 |
+
"step": 470
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 1.7723880597014925,
|
| 671 |
+
"grad_norm": 0.3587084792300111,
|
| 672 |
+
"learning_rate": 2.267408521734113e-05,
|
| 673 |
+
"loss": 0.5826,
|
| 674 |
+
"step": 475
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 1.7910447761194028,
|
| 678 |
+
"grad_norm": 0.3367799313961551,
|
| 679 |
+
"learning_rate": 2.2222710058680963e-05,
|
| 680 |
+
"loss": 0.5796,
|
| 681 |
+
"step": 480
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 1.8097014925373134,
|
| 685 |
+
"grad_norm": 0.31508822995257363,
|
| 686 |
+
"learning_rate": 2.1773571489588017e-05,
|
| 687 |
+
"loss": 0.5814,
|
| 688 |
+
"step": 485
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 1.828358208955224,
|
| 692 |
+
"grad_norm": 0.31530891070364053,
|
| 693 |
+
"learning_rate": 2.132685986129353e-05,
|
| 694 |
+
"loss": 0.5822,
|
| 695 |
+
"step": 490
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 1.8470149253731343,
|
| 699 |
+
"grad_norm": 0.3219435163937165,
|
| 700 |
+
"learning_rate": 2.088276449645714e-05,
|
| 701 |
+
"loss": 0.5886,
|
| 702 |
+
"step": 495
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 1.8656716417910446,
|
| 706 |
+
"grad_norm": 0.33551685144976545,
|
| 707 |
+
"learning_rate": 2.0441473608929303e-05,
|
| 708 |
+
"loss": 0.5899,
|
| 709 |
+
"step": 500
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 1.8843283582089554,
|
| 713 |
+
"grad_norm": 0.33919972994543235,
|
| 714 |
+
"learning_rate": 2.0003174223983623e-05,
|
| 715 |
+
"loss": 0.5844,
|
| 716 |
+
"step": 505
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 1.9029850746268657,
|
| 720 |
+
"grad_norm": 0.334804929939135,
|
| 721 |
+
"learning_rate": 1.9568052099052912e-05,
|
| 722 |
+
"loss": 0.5793,
|
| 723 |
+
"step": 510
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 1.921641791044776,
|
| 727 |
+
"grad_norm": 0.3678088109878758,
|
| 728 |
+
"learning_rate": 1.913629164500258e-05,
|
| 729 |
+
"loss": 0.5876,
|
| 730 |
+
"step": 515
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 1.9402985074626866,
|
| 734 |
+
"grad_norm": 0.3556925565126293,
|
| 735 |
+
"learning_rate": 1.8708075847974722e-05,
|
| 736 |
+
"loss": 0.5873,
|
| 737 |
+
"step": 520
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 1.9589552238805972,
|
| 741 |
+
"grad_norm": 0.32600987065289666,
|
| 742 |
+
"learning_rate": 1.8283586191836006e-05,
|
| 743 |
+
"loss": 0.5817,
|
| 744 |
+
"step": 525
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 1.9776119402985075,
|
| 748 |
+
"grad_norm": 0.3449350706208757,
|
| 749 |
+
"learning_rate": 1.786300258126231e-05,
|
| 750 |
+
"loss": 0.5875,
|
| 751 |
+
"step": 530
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 1.9962686567164178,
|
| 755 |
+
"grad_norm": 0.31606697268698664,
|
| 756 |
+
"learning_rate": 1.744650326549254e-05,
|
| 757 |
+
"loss": 0.5771,
|
| 758 |
+
"step": 535
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 2.014925373134328,
|
| 762 |
+
"grad_norm": 0.3226406048094545,
|
| 763 |
+
"learning_rate": 1.703426476278413e-05,
|
| 764 |
+
"loss": 0.5804,
|
| 765 |
+
"step": 540
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 2.033582089552239,
|
| 769 |
+
"grad_norm": 0.3192747041987855,
|
| 770 |
+
"learning_rate": 1.6626461785602114e-05,
|
| 771 |
+
"loss": 0.5779,
|
| 772 |
+
"step": 545
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 2.0522388059701493,
|
| 776 |
+
"grad_norm": 0.32942244104358903,
|
| 777 |
+
"learning_rate": 1.622326716657353e-05,
|
| 778 |
+
"loss": 0.5784,
|
| 779 |
+
"step": 550
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 2.0708955223880596,
|
| 783 |
+
"grad_norm": 0.3208641410944032,
|
| 784 |
+
"learning_rate": 1.582485178523856e-05,
|
| 785 |
+
"loss": 0.5752,
|
| 786 |
+
"step": 555
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 2.08955223880597,
|
| 790 |
+
"grad_norm": 0.32990050316542857,
|
| 791 |
+
"learning_rate": 1.5431384495629337e-05,
|
| 792 |
+
"loss": 0.5776,
|
| 793 |
+
"step": 560
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 2.1082089552238807,
|
| 797 |
+
"grad_norm": 0.32151659170031266,
|
| 798 |
+
"learning_rate": 1.504303205470723e-05,
|
| 799 |
+
"loss": 0.5791,
|
| 800 |
+
"step": 565
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 2.126865671641791,
|
| 804 |
+
"grad_norm": 0.3190957196858403,
|
| 805 |
+
"learning_rate": 1.4659959051688944e-05,
|
| 806 |
+
"loss": 0.5823,
|
| 807 |
+
"step": 570
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 2.1455223880597014,
|
| 811 |
+
"grad_norm": 0.46789518766409627,
|
| 812 |
+
"learning_rate": 1.4282327838291304e-05,
|
| 813 |
+
"loss": 0.5738,
|
| 814 |
+
"step": 575
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 2.1641791044776117,
|
| 818 |
+
"grad_norm": 0.3289296714854712,
|
| 819 |
+
"learning_rate": 1.391029845992426e-05,
|
| 820 |
+
"loss": 0.5784,
|
| 821 |
+
"step": 580
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 2.1828358208955225,
|
| 825 |
+
"grad_norm": 0.33039007431665324,
|
| 826 |
+
"learning_rate": 1.3544028587861441e-05,
|
| 827 |
+
"loss": 0.5783,
|
| 828 |
+
"step": 585
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 2.201492537313433,
|
| 832 |
+
"grad_norm": 0.3211020903500206,
|
| 833 |
+
"learning_rate": 1.3183673452416833e-05,
|
| 834 |
+
"loss": 0.5741,
|
| 835 |
+
"step": 590
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 2.220149253731343,
|
| 839 |
+
"grad_norm": 0.33763161409176584,
|
| 840 |
+
"learning_rate": 1.2829385777156036e-05,
|
| 841 |
+
"loss": 0.5729,
|
| 842 |
+
"step": 595
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 2.2388059701492535,
|
| 846 |
+
"grad_norm": 0.33060117221059376,
|
| 847 |
+
"learning_rate": 1.2481315714169812e-05,
|
| 848 |
+
"loss": 0.5781,
|
| 849 |
+
"step": 600
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 2.2574626865671643,
|
| 853 |
+
"grad_norm": 0.33725376949413927,
|
| 854 |
+
"learning_rate": 1.2139610780437552e-05,
|
| 855 |
+
"loss": 0.582,
|
| 856 |
+
"step": 605
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 2.2761194029850746,
|
| 860 |
+
"grad_norm": 0.2995179260780104,
|
| 861 |
+
"learning_rate": 1.1804415795307511e-05,
|
| 862 |
+
"loss": 0.5769,
|
| 863 |
+
"step": 610
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 2.294776119402985,
|
| 867 |
+
"grad_norm": 0.31943181761280764,
|
| 868 |
+
"learning_rate": 1.1475872819120328e-05,
|
| 869 |
+
"loss": 0.5777,
|
| 870 |
+
"step": 615
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 2.3134328358208958,
|
| 874 |
+
"grad_norm": 0.29904241071720106,
|
| 875 |
+
"learning_rate": 1.1154121093001874e-05,
|
| 876 |
+
"loss": 0.5751,
|
| 877 |
+
"step": 620
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 2.332089552238806,
|
| 881 |
+
"grad_norm": 0.29530206657628216,
|
| 882 |
+
"learning_rate": 1.083929697985089e-05,
|
| 883 |
+
"loss": 0.5641,
|
| 884 |
+
"step": 625
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 2.3507462686567164,
|
| 888 |
+
"grad_norm": 0.32449591504588926,
|
| 889 |
+
"learning_rate": 1.0531533906546454e-05,
|
| 890 |
+
"loss": 0.5783,
|
| 891 |
+
"step": 630
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 2.3694029850746268,
|
| 895 |
+
"grad_norm": 0.335784339109831,
|
| 896 |
+
"learning_rate": 1.023096230739987e-05,
|
| 897 |
+
"loss": 0.5723,
|
| 898 |
+
"step": 635
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 2.388059701492537,
|
| 902 |
+
"grad_norm": 0.31020627295629266,
|
| 903 |
+
"learning_rate": 9.937709568874698e-06,
|
| 904 |
+
"loss": 0.581,
|
| 905 |
+
"step": 640
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 2.406716417910448,
|
| 909 |
+
"grad_norm": 0.3012216543355107,
|
| 910 |
+
"learning_rate": 9.651899975598627e-06,
|
| 911 |
+
"loss": 0.5769,
|
| 912 |
+
"step": 645
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 2.425373134328358,
|
| 916 |
+
"grad_norm": 0.32450430571066397,
|
| 917 |
+
"learning_rate": 9.373654657689884e-06,
|
| 918 |
+
"loss": 0.5762,
|
| 919 |
+
"step": 650
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 2.4440298507462686,
|
| 923 |
+
"grad_norm": 0.3012930563631571,
|
| 924 |
+
"learning_rate": 9.103091539420603e-06,
|
| 925 |
+
"loss": 0.5747,
|
| 926 |
+
"step": 655
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 2.4626865671641793,
|
| 930 |
+
"grad_norm": 0.3100034944540072,
|
| 931 |
+
"learning_rate": 8.840325289238862e-06,
|
| 932 |
+
"loss": 0.5751,
|
| 933 |
+
"step": 660
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 2.4813432835820897,
|
| 937 |
+
"grad_norm": 0.29337231270061,
|
| 938 |
+
"learning_rate": 8.585467271170572e-06,
|
| 939 |
+
"loss": 0.5778,
|
| 940 |
+
"step": 665
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 2.5,
|
| 944 |
+
"grad_norm": 0.29327922763808,
|
| 945 |
+
"learning_rate": 8.338625497621846e-06,
|
| 946 |
+
"loss": 0.5751,
|
| 947 |
+
"step": 670
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 2.5186567164179103,
|
| 951 |
+
"grad_norm": 0.3044981666505116,
|
| 952 |
+
"learning_rate": 8.099904583601826e-06,
|
| 953 |
+
"loss": 0.5777,
|
| 954 |
+
"step": 675
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 2.5373134328358207,
|
| 958 |
+
"grad_norm": 0.30077068543810176,
|
| 959 |
+
"learning_rate": 7.869405702385388e-06,
|
| 960 |
+
"loss": 0.5733,
|
| 961 |
+
"step": 680
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 2.5559701492537314,
|
| 965 |
+
"grad_norm": 0.31187553828615966,
|
| 966 |
+
"learning_rate": 7.647226542634454e-06,
|
| 967 |
+
"loss": 0.5786,
|
| 968 |
+
"step": 685
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 2.574626865671642,
|
| 972 |
+
"grad_norm": 0.2928003883848623,
|
| 973 |
+
"learning_rate": 7.433461266996197e-06,
|
| 974 |
+
"loss": 0.5746,
|
| 975 |
+
"step": 690
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 2.593283582089552,
|
| 979 |
+
"grad_norm": 0.289384782079962,
|
| 980 |
+
"learning_rate": 7.228200472195573e-06,
|
| 981 |
+
"loss": 0.5749,
|
| 982 |
+
"step": 695
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 2.611940298507463,
|
| 986 |
+
"grad_norm": 0.2966613143366587,
|
| 987 |
+
"learning_rate": 7.031531150639156e-06,
|
| 988 |
+
"loss": 0.5769,
|
| 989 |
+
"step": 700
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 2.6305970149253732,
|
| 993 |
+
"grad_norm": 0.2955583658511631,
|
| 994 |
+
"learning_rate": 6.843536653546554e-06,
|
| 995 |
+
"loss": 0.5724,
|
| 996 |
+
"step": 705
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 2.6492537313432836,
|
| 1000 |
+
"grad_norm": 0.2839683212080737,
|
| 1001 |
+
"learning_rate": 6.664296655624957e-06,
|
| 1002 |
+
"loss": 0.5767,
|
| 1003 |
+
"step": 710
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 2.667910447761194,
|
| 1007 |
+
"grad_norm": 0.3111148068064659,
|
| 1008 |
+
"learning_rate": 6.49388712130192e-06,
|
| 1009 |
+
"loss": 0.5812,
|
| 1010 |
+
"step": 715
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 2.6865671641791042,
|
| 1014 |
+
"grad_norm": 0.29595259288458947,
|
| 1015 |
+
"learning_rate": 6.332380272530536e-06,
|
| 1016 |
+
"loss": 0.5787,
|
| 1017 |
+
"step": 720
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 2.705223880597015,
|
| 1021 |
+
"grad_norm": 0.30049652644929575,
|
| 1022 |
+
"learning_rate": 6.17984455818078e-06,
|
| 1023 |
+
"loss": 0.569,
|
| 1024 |
+
"step": 725
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 2.7238805970149254,
|
| 1028 |
+
"grad_norm": 0.28596569042503084,
|
| 1029 |
+
"learning_rate": 6.036344625029903e-06,
|
| 1030 |
+
"loss": 0.573,
|
| 1031 |
+
"step": 730
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 2.7425373134328357,
|
| 1035 |
+
"grad_norm": 0.3137116309508735,
|
| 1036 |
+
"learning_rate": 5.901941290364234e-06,
|
| 1037 |
+
"loss": 0.5736,
|
| 1038 |
+
"step": 735
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 2.7611940298507465,
|
| 1042 |
+
"grad_norm": 0.3009948081748677,
|
| 1043 |
+
"learning_rate": 5.776691516203942e-06,
|
| 1044 |
+
"loss": 0.5787,
|
| 1045 |
+
"step": 740
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 2.779850746268657,
|
| 1049 |
+
"grad_norm": 0.3040010450151502,
|
| 1050 |
+
"learning_rate": 5.660648385161759e-06,
|
| 1051 |
+
"loss": 0.5767,
|
| 1052 |
+
"step": 745
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 2.798507462686567,
|
| 1056 |
+
"grad_norm": 0.29325707371427784,
|
| 1057 |
+
"learning_rate": 5.5538610779457975e-06,
|
| 1058 |
+
"loss": 0.5754,
|
| 1059 |
+
"step": 750
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 2.8171641791044775,
|
| 1063 |
+
"grad_norm": 0.2828494761102343,
|
| 1064 |
+
"learning_rate": 5.456374852516083e-06,
|
| 1065 |
+
"loss": 0.5767,
|
| 1066 |
+
"step": 755
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 2.835820895522388,
|
| 1070 |
+
"grad_norm": 0.2919715511195579,
|
| 1071 |
+
"learning_rate": 5.368231024903606e-06,
|
| 1072 |
+
"loss": 0.5731,
|
| 1073 |
+
"step": 760
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 2.8544776119402986,
|
| 1077 |
+
"grad_norm": 0.2984091496111364,
|
| 1078 |
+
"learning_rate": 5.289466951699997e-06,
|
| 1079 |
+
"loss": 0.5766,
|
| 1080 |
+
"step": 765
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 2.873134328358209,
|
| 1084 |
+
"grad_norm": 0.28179592978223916,
|
| 1085 |
+
"learning_rate": 5.2201160142252795e-06,
|
| 1086 |
+
"loss": 0.5777,
|
| 1087 |
+
"step": 770
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 2.8917910447761193,
|
| 1091 |
+
"grad_norm": 0.29010245215139613,
|
| 1092 |
+
"learning_rate": 5.1602076043804036e-06,
|
| 1093 |
+
"loss": 0.5717,
|
| 1094 |
+
"step": 775
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 2.91044776119403,
|
| 1098 |
+
"grad_norm": 0.28595377774074365,
|
| 1099 |
+
"learning_rate": 5.1097671121905425e-06,
|
| 1100 |
+
"loss": 0.5778,
|
| 1101 |
+
"step": 780
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 2.9291044776119404,
|
| 1105 |
+
"grad_norm": 0.29043591574669186,
|
| 1106 |
+
"learning_rate": 5.0688159150444395e-06,
|
| 1107 |
+
"loss": 0.5703,
|
| 1108 |
+
"step": 785
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 2.9477611940298507,
|
| 1112 |
+
"grad_norm": 0.28909438769255513,
|
| 1113 |
+
"learning_rate": 5.0373713686343774e-06,
|
| 1114 |
+
"loss": 0.5809,
|
| 1115 |
+
"step": 790
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 2.966417910447761,
|
| 1119 |
+
"grad_norm": 0.300234068745217,
|
| 1120 |
+
"learning_rate": 5.015446799600588e-06,
|
| 1121 |
+
"loss": 0.5728,
|
| 1122 |
+
"step": 795
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 2.9850746268656714,
|
| 1126 |
+
"grad_norm": 0.2900267072345629,
|
| 1127 |
+
"learning_rate": 5.003051499883236e-06,
|
| 1128 |
+
"loss": 0.5827,
|
| 1129 |
+
"step": 800
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 3.0,
|
| 1133 |
+
"step": 804,
|
| 1134 |
+
"total_flos": 1.3049081114918912e+16,
|
| 1135 |
+
"train_loss": 0.6017516222759266,
|
| 1136 |
+
"train_runtime": 25832.0855,
|
| 1137 |
+
"train_samples_per_second": 3.984,
|
| 1138 |
+
"train_steps_per_second": 0.031
|
| 1139 |
}
|
| 1140 |
],
|
| 1141 |
"logging_steps": 5,
|
| 1142 |
+
"max_steps": 804,
|
| 1143 |
"num_input_tokens_seen": 0,
|
| 1144 |
+
"num_train_epochs": 3,
|
| 1145 |
+
"save_steps": 500,
|
| 1146 |
"stateful_callbacks": {
|
| 1147 |
"TrainerControl": {
|
| 1148 |
"args": {
|
|
|
|
| 1155 |
"attributes": {}
|
| 1156 |
}
|
| 1157 |
},
|
| 1158 |
+
"total_flos": 1.3049081114918912e+16,
|
| 1159 |
"train_batch_size": 1,
|
| 1160 |
"trial_name": null,
|
| 1161 |
"trial_params": null
|