Training in progress, step 150, checkpoint
Browse files
last-checkpoint/adapter_config.json
CHANGED
|
@@ -22,8 +22,8 @@
|
|
| 22 |
"rank_pattern": {},
|
| 23 |
"revision": null,
|
| 24 |
"target_modules": [
|
| 25 |
-
"
|
| 26 |
-
"
|
| 27 |
],
|
| 28 |
"task_type": "CAUSAL_LM",
|
| 29 |
"use_dora": false,
|
|
|
|
| 22 |
"rank_pattern": {},
|
| 23 |
"revision": null,
|
| 24 |
"target_modules": [
|
| 25 |
+
"k_proj",
|
| 26 |
+
"q_proj"
|
| 27 |
],
|
| 28 |
"task_type": "CAUSAL_LM",
|
| 29 |
"use_dora": false,
|
last-checkpoint/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 527048968
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d521622db8e0c7fae9ad561a127c2650738869afc43c26be15d38a48ed692348
|
| 3 |
size 527048968
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1054136250
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:654d5f69f2b7f359b70dc71836116986b4ff50d816aa31fd86020592c2ad75c8
|
| 3 |
size 1054136250
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:226f394c3a9826cc7f74d0799aa02f643f1ee6b891784f44c588787dbc9c0cb3
|
| 3 |
size 14244
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1256
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2673d78ac7304a2a7678ae71ed65422fa2295f07aca63cf23ca76e0b5c92da69
|
| 3 |
size 1256
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,464 +1,125 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "./output/checkpoint-
|
| 4 |
-
"epoch":
|
| 5 |
"eval_steps": 150,
|
| 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": 0.2222222222222222,
|
| 13 |
-
"grad_norm": 1.
|
| 14 |
"learning_rate": 2.9999999999999984e-06,
|
| 15 |
"loss": 0.6619,
|
| 16 |
"step": 10
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.4444444444444444,
|
| 20 |
-
"grad_norm": 1.
|
| 21 |
"learning_rate": 5.999999999999997e-06,
|
| 22 |
-
"loss": 0.
|
| 23 |
"step": 20
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 0.6666666666666666,
|
| 27 |
-
"grad_norm": 1.
|
| 28 |
"learning_rate": 8.999999999999993e-06,
|
| 29 |
-
"loss": 0.
|
| 30 |
"step": 30
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 0.8888888888888888,
|
| 34 |
-
"grad_norm": 1.
|
| 35 |
"learning_rate": 1.1999999999999994e-05,
|
| 36 |
-
"loss": 0.
|
| 37 |
"step": 40
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 1.1111111111111112,
|
| 41 |
-
"grad_norm": 1.
|
| 42 |
"learning_rate": 1.499999999999999e-05,
|
| 43 |
-
"loss": 0.
|
| 44 |
"step": 50
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 1.3333333333333333,
|
| 48 |
-
"grad_norm": 1.
|
| 49 |
"learning_rate": 1.7999999999999987e-05,
|
| 50 |
-
"loss": 0.
|
| 51 |
"step": 60
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 1.5555555555555556,
|
| 55 |
-
"grad_norm": 1.
|
| 56 |
"learning_rate": 2.0999999999999985e-05,
|
| 57 |
-
"loss": 0.
|
| 58 |
"step": 70
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"epoch": 1.7777777777777777,
|
| 62 |
-
"grad_norm": 1.
|
| 63 |
"learning_rate": 2.3999999999999987e-05,
|
| 64 |
-
"loss": 0.
|
| 65 |
"step": 80
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"epoch": 2.0,
|
| 69 |
-
"grad_norm": 2.
|
| 70 |
"learning_rate": 2.6999999999999982e-05,
|
| 71 |
-
"loss": 0.
|
| 72 |
"step": 90
|
| 73 |
},
|
| 74 |
{
|
| 75 |
"epoch": 2.2222222222222223,
|
| 76 |
-
"grad_norm": 1.
|
| 77 |
"learning_rate": 2.999999999999998e-05,
|
| 78 |
-
"loss": 0.
|
| 79 |
"step": 100
|
| 80 |
},
|
| 81 |
{
|
| 82 |
"epoch": 2.4444444444444446,
|
| 83 |
-
"grad_norm": 1.
|
| 84 |
"learning_rate": 2.999999702723961e-05,
|
| 85 |
-
"loss": 0.
|
| 86 |
"step": 110
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 2.6666666666666665,
|
| 90 |
-
"grad_norm": 2.
|
| 91 |
"learning_rate": 2.9999988108959667e-05,
|
| 92 |
-
"loss": 0.
|
| 93 |
"step": 120
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"epoch": 2.888888888888889,
|
| 97 |
-
"grad_norm": 2.
|
| 98 |
"learning_rate": 2.9999973245163695e-05,
|
| 99 |
-
"loss": 0.
|
| 100 |
"step": 130
|
| 101 |
},
|
| 102 |
{
|
| 103 |
"epoch": 3.111111111111111,
|
| 104 |
-
"grad_norm": 2.
|
| 105 |
"learning_rate": 2.999995243585758e-05,
|
| 106 |
-
"loss": 0.
|
| 107 |
"step": 140
|
| 108 |
},
|
| 109 |
{
|
| 110 |
"epoch": 3.3333333333333335,
|
| 111 |
-
"grad_norm": 1.
|
| 112 |
"learning_rate": 2.9999925681049573e-05,
|
| 113 |
-
"loss": 0.
|
| 114 |
"step": 150
|
| 115 |
},
|
| 116 |
{
|
| 117 |
"epoch": 3.3333333333333335,
|
| 118 |
-
"eval_loss": 0.
|
| 119 |
-
"eval_runtime": 0.
|
| 120 |
-
"eval_samples_per_second": 21.
|
| 121 |
-
"eval_steps_per_second": 21.
|
| 122 |
"step": 150
|
| 123 |
-
},
|
| 124 |
-
{
|
| 125 |
-
"epoch": 3.5555555555555554,
|
| 126 |
-
"grad_norm": 2.576017141342163,
|
| 127 |
-
"learning_rate": 2.9999892980750276e-05,
|
| 128 |
-
"loss": 0.6945,
|
| 129 |
-
"step": 160
|
| 130 |
-
},
|
| 131 |
-
{
|
| 132 |
-
"epoch": 3.7777777777777777,
|
| 133 |
-
"grad_norm": 2.4086973667144775,
|
| 134 |
-
"learning_rate": 2.9999854334972655e-05,
|
| 135 |
-
"loss": 0.6925,
|
| 136 |
-
"step": 170
|
| 137 |
-
},
|
| 138 |
-
{
|
| 139 |
-
"epoch": 4.0,
|
| 140 |
-
"grad_norm": 2.5403313636779785,
|
| 141 |
-
"learning_rate": 2.999980974373202e-05,
|
| 142 |
-
"loss": 0.6681,
|
| 143 |
-
"step": 180
|
| 144 |
-
},
|
| 145 |
-
{
|
| 146 |
-
"epoch": 4.222222222222222,
|
| 147 |
-
"grad_norm": 1.6049163341522217,
|
| 148 |
-
"learning_rate": 2.9999759207046055e-05,
|
| 149 |
-
"loss": 0.5901,
|
| 150 |
-
"step": 190
|
| 151 |
-
},
|
| 152 |
-
{
|
| 153 |
-
"epoch": 4.444444444444445,
|
| 154 |
-
"grad_norm": 1.6813507080078125,
|
| 155 |
-
"learning_rate": 2.9999702724934783e-05,
|
| 156 |
-
"loss": 0.7106,
|
| 157 |
-
"step": 200
|
| 158 |
-
},
|
| 159 |
-
{
|
| 160 |
-
"epoch": 4.666666666666667,
|
| 161 |
-
"grad_norm": 3.4500820636749268,
|
| 162 |
-
"learning_rate": 2.99996402974206e-05,
|
| 163 |
-
"loss": 0.6277,
|
| 164 |
-
"step": 210
|
| 165 |
-
},
|
| 166 |
-
{
|
| 167 |
-
"epoch": 4.888888888888889,
|
| 168 |
-
"grad_norm": 2.07940411567688,
|
| 169 |
-
"learning_rate": 2.9999571924528243e-05,
|
| 170 |
-
"loss": 0.6731,
|
| 171 |
-
"step": 220
|
| 172 |
-
},
|
| 173 |
-
{
|
| 174 |
-
"epoch": 5.111111111111111,
|
| 175 |
-
"grad_norm": 2.62994647026062,
|
| 176 |
-
"learning_rate": 2.9999497606284816e-05,
|
| 177 |
-
"loss": 0.6025,
|
| 178 |
-
"step": 230
|
| 179 |
-
},
|
| 180 |
-
{
|
| 181 |
-
"epoch": 5.333333333333333,
|
| 182 |
-
"grad_norm": 1.4846452474594116,
|
| 183 |
-
"learning_rate": 2.9999417342719775e-05,
|
| 184 |
-
"loss": 0.6941,
|
| 185 |
-
"step": 240
|
| 186 |
-
},
|
| 187 |
-
{
|
| 188 |
-
"epoch": 5.555555555555555,
|
| 189 |
-
"grad_norm": 2.218034267425537,
|
| 190 |
-
"learning_rate": 2.9999331133864935e-05,
|
| 191 |
-
"loss": 0.6477,
|
| 192 |
-
"step": 250
|
| 193 |
-
},
|
| 194 |
-
{
|
| 195 |
-
"epoch": 5.777777777777778,
|
| 196 |
-
"grad_norm": 1.7151379585266113,
|
| 197 |
-
"learning_rate": 2.9999238979754465e-05,
|
| 198 |
-
"loss": 0.6094,
|
| 199 |
-
"step": 260
|
| 200 |
-
},
|
| 201 |
-
{
|
| 202 |
-
"epoch": 6.0,
|
| 203 |
-
"grad_norm": 1.9011706113815308,
|
| 204 |
-
"learning_rate": 2.99991408804249e-05,
|
| 205 |
-
"loss": 0.5759,
|
| 206 |
-
"step": 270
|
| 207 |
-
},
|
| 208 |
-
{
|
| 209 |
-
"epoch": 6.222222222222222,
|
| 210 |
-
"grad_norm": 2.1471989154815674,
|
| 211 |
-
"learning_rate": 2.999903683591511e-05,
|
| 212 |
-
"loss": 0.574,
|
| 213 |
-
"step": 280
|
| 214 |
-
},
|
| 215 |
-
{
|
| 216 |
-
"epoch": 6.444444444444445,
|
| 217 |
-
"grad_norm": 1.3847769498825073,
|
| 218 |
-
"learning_rate": 2.9998926846266345e-05,
|
| 219 |
-
"loss": 0.613,
|
| 220 |
-
"step": 290
|
| 221 |
-
},
|
| 222 |
-
{
|
| 223 |
-
"epoch": 6.666666666666667,
|
| 224 |
-
"grad_norm": 2.2905008792877197,
|
| 225 |
-
"learning_rate": 2.9998810911522193e-05,
|
| 226 |
-
"loss": 0.6224,
|
| 227 |
-
"step": 300
|
| 228 |
-
},
|
| 229 |
-
{
|
| 230 |
-
"epoch": 6.666666666666667,
|
| 231 |
-
"eval_loss": 0.7388900518417358,
|
| 232 |
-
"eval_runtime": 0.4459,
|
| 233 |
-
"eval_samples_per_second": 22.426,
|
| 234 |
-
"eval_steps_per_second": 22.426,
|
| 235 |
-
"step": 300
|
| 236 |
-
},
|
| 237 |
-
{
|
| 238 |
-
"epoch": 6.888888888888889,
|
| 239 |
-
"grad_norm": 2.6983234882354736,
|
| 240 |
-
"learning_rate": 2.9998689031728615e-05,
|
| 241 |
-
"loss": 0.6484,
|
| 242 |
-
"step": 310
|
| 243 |
-
},
|
| 244 |
-
{
|
| 245 |
-
"epoch": 7.111111111111111,
|
| 246 |
-
"grad_norm": 1.7625339031219482,
|
| 247 |
-
"learning_rate": 2.9998561206933918e-05,
|
| 248 |
-
"loss": 0.5866,
|
| 249 |
-
"step": 320
|
| 250 |
-
},
|
| 251 |
-
{
|
| 252 |
-
"epoch": 7.333333333333333,
|
| 253 |
-
"grad_norm": 1.7633429765701294,
|
| 254 |
-
"learning_rate": 2.9998427437188766e-05,
|
| 255 |
-
"loss": 0.5797,
|
| 256 |
-
"step": 330
|
| 257 |
-
},
|
| 258 |
-
{
|
| 259 |
-
"epoch": 7.555555555555555,
|
| 260 |
-
"grad_norm": 2.347116470336914,
|
| 261 |
-
"learning_rate": 2.999828772254618e-05,
|
| 262 |
-
"loss": 0.603,
|
| 263 |
-
"step": 340
|
| 264 |
-
},
|
| 265 |
-
{
|
| 266 |
-
"epoch": 7.777777777777778,
|
| 267 |
-
"grad_norm": 2.4734201431274414,
|
| 268 |
-
"learning_rate": 2.9998142063061544e-05,
|
| 269 |
-
"loss": 0.6625,
|
| 270 |
-
"step": 350
|
| 271 |
-
},
|
| 272 |
-
{
|
| 273 |
-
"epoch": 8.0,
|
| 274 |
-
"grad_norm": 1.330693006515503,
|
| 275 |
-
"learning_rate": 2.9997990458792583e-05,
|
| 276 |
-
"loss": 0.6044,
|
| 277 |
-
"step": 360
|
| 278 |
-
},
|
| 279 |
-
{
|
| 280 |
-
"epoch": 8.222222222222221,
|
| 281 |
-
"grad_norm": 1.9030860662460327,
|
| 282 |
-
"learning_rate": 2.9997832909799397e-05,
|
| 283 |
-
"loss": 0.549,
|
| 284 |
-
"step": 370
|
| 285 |
-
},
|
| 286 |
-
{
|
| 287 |
-
"epoch": 8.444444444444445,
|
| 288 |
-
"grad_norm": 1.935556173324585,
|
| 289 |
-
"learning_rate": 2.9997669416144432e-05,
|
| 290 |
-
"loss": 0.641,
|
| 291 |
-
"step": 380
|
| 292 |
-
},
|
| 293 |
-
{
|
| 294 |
-
"epoch": 8.666666666666666,
|
| 295 |
-
"grad_norm": 1.049513816833496,
|
| 296 |
-
"learning_rate": 2.999749997789249e-05,
|
| 297 |
-
"loss": 0.5395,
|
| 298 |
-
"step": 390
|
| 299 |
-
},
|
| 300 |
-
{
|
| 301 |
-
"epoch": 8.88888888888889,
|
| 302 |
-
"grad_norm": 1.5243322849273682,
|
| 303 |
-
"learning_rate": 2.9997324595110723e-05,
|
| 304 |
-
"loss": 0.6544,
|
| 305 |
-
"step": 400
|
| 306 |
-
},
|
| 307 |
-
{
|
| 308 |
-
"epoch": 9.11111111111111,
|
| 309 |
-
"grad_norm": 1.3851348161697388,
|
| 310 |
-
"learning_rate": 2.9997143267868663e-05,
|
| 311 |
-
"loss": 0.5948,
|
| 312 |
-
"step": 410
|
| 313 |
-
},
|
| 314 |
-
{
|
| 315 |
-
"epoch": 9.333333333333334,
|
| 316 |
-
"grad_norm": 2.487696409225464,
|
| 317 |
-
"learning_rate": 2.999695599623817e-05,
|
| 318 |
-
"loss": 0.6226,
|
| 319 |
-
"step": 420
|
| 320 |
-
},
|
| 321 |
-
{
|
| 322 |
-
"epoch": 9.555555555555555,
|
| 323 |
-
"grad_norm": 2.581589698791504,
|
| 324 |
-
"learning_rate": 2.9996762780293483e-05,
|
| 325 |
-
"loss": 0.5751,
|
| 326 |
-
"step": 430
|
| 327 |
-
},
|
| 328 |
-
{
|
| 329 |
-
"epoch": 9.777777777777779,
|
| 330 |
-
"grad_norm": 1.5271048545837402,
|
| 331 |
-
"learning_rate": 2.9996563620111176e-05,
|
| 332 |
-
"loss": 0.5295,
|
| 333 |
-
"step": 440
|
| 334 |
-
},
|
| 335 |
-
{
|
| 336 |
-
"epoch": 10.0,
|
| 337 |
-
"grad_norm": 1.3882054090499878,
|
| 338 |
-
"learning_rate": 2.9996358515770198e-05,
|
| 339 |
-
"loss": 0.5419,
|
| 340 |
-
"step": 450
|
| 341 |
-
},
|
| 342 |
-
{
|
| 343 |
-
"epoch": 10.0,
|
| 344 |
-
"eval_loss": 0.7256744503974915,
|
| 345 |
-
"eval_runtime": 0.4708,
|
| 346 |
-
"eval_samples_per_second": 21.239,
|
| 347 |
-
"eval_steps_per_second": 21.239,
|
| 348 |
-
"step": 450
|
| 349 |
-
},
|
| 350 |
-
{
|
| 351 |
-
"epoch": 10.222222222222221,
|
| 352 |
-
"grad_norm": 2.2227277755737305,
|
| 353 |
-
"learning_rate": 2.9996147467351836e-05,
|
| 354 |
-
"loss": 0.5062,
|
| 355 |
-
"step": 460
|
| 356 |
-
},
|
| 357 |
-
{
|
| 358 |
-
"epoch": 10.444444444444445,
|
| 359 |
-
"grad_norm": 1.412768006324768,
|
| 360 |
-
"learning_rate": 2.9995930474939753e-05,
|
| 361 |
-
"loss": 0.4908,
|
| 362 |
-
"step": 470
|
| 363 |
-
},
|
| 364 |
-
{
|
| 365 |
-
"epoch": 10.666666666666666,
|
| 366 |
-
"grad_norm": 1.9368879795074463,
|
| 367 |
-
"learning_rate": 2.9995707538619954e-05,
|
| 368 |
-
"loss": 0.6362,
|
| 369 |
-
"step": 480
|
| 370 |
-
},
|
| 371 |
-
{
|
| 372 |
-
"epoch": 10.88888888888889,
|
| 373 |
-
"grad_norm": 2.137639045715332,
|
| 374 |
-
"learning_rate": 2.9995478658480802e-05,
|
| 375 |
-
"loss": 0.5532,
|
| 376 |
-
"step": 490
|
| 377 |
-
},
|
| 378 |
-
{
|
| 379 |
-
"epoch": 11.11111111111111,
|
| 380 |
-
"grad_norm": 1.867410659790039,
|
| 381 |
-
"learning_rate": 2.9995243834613023e-05,
|
| 382 |
-
"loss": 0.5231,
|
| 383 |
-
"step": 500
|
| 384 |
-
},
|
| 385 |
-
{
|
| 386 |
-
"epoch": 11.333333333333334,
|
| 387 |
-
"grad_norm": 1.6794224977493286,
|
| 388 |
-
"learning_rate": 2.9995003067109687e-05,
|
| 389 |
-
"loss": 0.5388,
|
| 390 |
-
"step": 510
|
| 391 |
-
},
|
| 392 |
-
{
|
| 393 |
-
"epoch": 11.555555555555555,
|
| 394 |
-
"grad_norm": 2.639946699142456,
|
| 395 |
-
"learning_rate": 2.9994756356066226e-05,
|
| 396 |
-
"loss": 0.5847,
|
| 397 |
-
"step": 520
|
| 398 |
-
},
|
| 399 |
-
{
|
| 400 |
-
"epoch": 11.777777777777779,
|
| 401 |
-
"grad_norm": 2.2483253479003906,
|
| 402 |
-
"learning_rate": 2.999450370158044e-05,
|
| 403 |
-
"loss": 0.5348,
|
| 404 |
-
"step": 530
|
| 405 |
-
},
|
| 406 |
-
{
|
| 407 |
-
"epoch": 12.0,
|
| 408 |
-
"grad_norm": 1.535469651222229,
|
| 409 |
-
"learning_rate": 2.9994245103752457e-05,
|
| 410 |
-
"loss": 0.5238,
|
| 411 |
-
"step": 540
|
| 412 |
-
},
|
| 413 |
-
{
|
| 414 |
-
"epoch": 12.222222222222221,
|
| 415 |
-
"grad_norm": 1.2466766834259033,
|
| 416 |
-
"learning_rate": 2.999398056268479e-05,
|
| 417 |
-
"loss": 0.536,
|
| 418 |
-
"step": 550
|
| 419 |
-
},
|
| 420 |
-
{
|
| 421 |
-
"epoch": 12.444444444444445,
|
| 422 |
-
"grad_norm": 1.4720205068588257,
|
| 423 |
-
"learning_rate": 2.9993710078482286e-05,
|
| 424 |
-
"loss": 0.4151,
|
| 425 |
-
"step": 560
|
| 426 |
-
},
|
| 427 |
-
{
|
| 428 |
-
"epoch": 12.666666666666666,
|
| 429 |
-
"grad_norm": 3.3889882564544678,
|
| 430 |
-
"learning_rate": 2.9993433651252164e-05,
|
| 431 |
-
"loss": 0.6201,
|
| 432 |
-
"step": 570
|
| 433 |
-
},
|
| 434 |
-
{
|
| 435 |
-
"epoch": 12.88888888888889,
|
| 436 |
-
"grad_norm": 1.472764253616333,
|
| 437 |
-
"learning_rate": 2.9993151281103986e-05,
|
| 438 |
-
"loss": 0.5345,
|
| 439 |
-
"step": 580
|
| 440 |
-
},
|
| 441 |
-
{
|
| 442 |
-
"epoch": 13.11111111111111,
|
| 443 |
-
"grad_norm": 2.440230369567871,
|
| 444 |
-
"learning_rate": 2.9992862968149675e-05,
|
| 445 |
-
"loss": 0.4178,
|
| 446 |
-
"step": 590
|
| 447 |
-
},
|
| 448 |
-
{
|
| 449 |
-
"epoch": 13.333333333333334,
|
| 450 |
-
"grad_norm": 2.4395759105682373,
|
| 451 |
-
"learning_rate": 2.9992568712503513e-05,
|
| 452 |
-
"loss": 0.5315,
|
| 453 |
-
"step": 600
|
| 454 |
-
},
|
| 455 |
-
{
|
| 456 |
-
"epoch": 13.333333333333334,
|
| 457 |
-
"eval_loss": 0.7217289209365845,
|
| 458 |
-
"eval_runtime": 0.4076,
|
| 459 |
-
"eval_samples_per_second": 24.535,
|
| 460 |
-
"eval_steps_per_second": 24.535,
|
| 461 |
-
"step": 600
|
| 462 |
}
|
| 463 |
],
|
| 464 |
"logging_steps": 10,
|
|
@@ -478,7 +139,7 @@
|
|
| 478 |
"attributes": {}
|
| 479 |
}
|
| 480 |
},
|
| 481 |
-
"total_flos":
|
| 482 |
"train_batch_size": 2,
|
| 483 |
"trial_name": null,
|
| 484 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.7681264281272888,
|
| 3 |
+
"best_model_checkpoint": "./output/checkpoint-150",
|
| 4 |
+
"epoch": 3.3333333333333335,
|
| 5 |
"eval_steps": 150,
|
| 6 |
+
"global_step": 150,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.2222222222222222,
|
| 13 |
+
"grad_norm": 1.9085510969161987,
|
| 14 |
"learning_rate": 2.9999999999999984e-06,
|
| 15 |
"loss": 0.6619,
|
| 16 |
"step": 10
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.4444444444444444,
|
| 20 |
+
"grad_norm": 1.8888217210769653,
|
| 21 |
"learning_rate": 5.999999999999997e-06,
|
| 22 |
+
"loss": 0.7258,
|
| 23 |
"step": 20
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 0.6666666666666666,
|
| 27 |
+
"grad_norm": 1.6715161800384521,
|
| 28 |
"learning_rate": 8.999999999999993e-06,
|
| 29 |
+
"loss": 0.7336,
|
| 30 |
"step": 30
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 0.8888888888888888,
|
| 34 |
+
"grad_norm": 1.576881766319275,
|
| 35 |
"learning_rate": 1.1999999999999994e-05,
|
| 36 |
+
"loss": 0.737,
|
| 37 |
"step": 40
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 1.1111111111111112,
|
| 41 |
+
"grad_norm": 1.2493071556091309,
|
| 42 |
"learning_rate": 1.499999999999999e-05,
|
| 43 |
+
"loss": 0.8943,
|
| 44 |
"step": 50
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 1.3333333333333333,
|
| 48 |
+
"grad_norm": 1.1351404190063477,
|
| 49 |
"learning_rate": 1.7999999999999987e-05,
|
| 50 |
+
"loss": 0.7145,
|
| 51 |
"step": 60
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 1.5555555555555556,
|
| 55 |
+
"grad_norm": 1.5109528303146362,
|
| 56 |
"learning_rate": 2.0999999999999985e-05,
|
| 57 |
+
"loss": 0.7582,
|
| 58 |
"step": 70
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"epoch": 1.7777777777777777,
|
| 62 |
+
"grad_norm": 1.872719645500183,
|
| 63 |
"learning_rate": 2.3999999999999987e-05,
|
| 64 |
+
"loss": 0.7074,
|
| 65 |
"step": 80
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"epoch": 2.0,
|
| 69 |
+
"grad_norm": 2.0645689964294434,
|
| 70 |
"learning_rate": 2.6999999999999982e-05,
|
| 71 |
+
"loss": 0.7704,
|
| 72 |
"step": 90
|
| 73 |
},
|
| 74 |
{
|
| 75 |
"epoch": 2.2222222222222223,
|
| 76 |
+
"grad_norm": 1.5649832487106323,
|
| 77 |
"learning_rate": 2.999999999999998e-05,
|
| 78 |
+
"loss": 0.727,
|
| 79 |
"step": 100
|
| 80 |
},
|
| 81 |
{
|
| 82 |
"epoch": 2.4444444444444446,
|
| 83 |
+
"grad_norm": 1.7015666961669922,
|
| 84 |
"learning_rate": 2.999999702723961e-05,
|
| 85 |
+
"loss": 0.747,
|
| 86 |
"step": 110
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 2.6666666666666665,
|
| 90 |
+
"grad_norm": 2.7937145233154297,
|
| 91 |
"learning_rate": 2.9999988108959667e-05,
|
| 92 |
+
"loss": 0.5702,
|
| 93 |
"step": 120
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"epoch": 2.888888888888889,
|
| 97 |
+
"grad_norm": 2.12908673286438,
|
| 98 |
"learning_rate": 2.9999973245163695e-05,
|
| 99 |
+
"loss": 0.7045,
|
| 100 |
"step": 130
|
| 101 |
},
|
| 102 |
{
|
| 103 |
"epoch": 3.111111111111111,
|
| 104 |
+
"grad_norm": 2.259050130844116,
|
| 105 |
"learning_rate": 2.999995243585758e-05,
|
| 106 |
+
"loss": 0.7171,
|
| 107 |
"step": 140
|
| 108 |
},
|
| 109 |
{
|
| 110 |
"epoch": 3.3333333333333335,
|
| 111 |
+
"grad_norm": 1.9302667379379272,
|
| 112 |
"learning_rate": 2.9999925681049573e-05,
|
| 113 |
+
"loss": 0.6647,
|
| 114 |
"step": 150
|
| 115 |
},
|
| 116 |
{
|
| 117 |
"epoch": 3.3333333333333335,
|
| 118 |
+
"eval_loss": 0.7681264281272888,
|
| 119 |
+
"eval_runtime": 0.4717,
|
| 120 |
+
"eval_samples_per_second": 21.2,
|
| 121 |
+
"eval_steps_per_second": 21.2,
|
| 122 |
"step": 150
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 123 |
}
|
| 124 |
],
|
| 125 |
"logging_steps": 10,
|
|
|
|
| 139 |
"attributes": {}
|
| 140 |
}
|
| 141 |
},
|
| 142 |
+
"total_flos": 1615667282657280.0,
|
| 143 |
"train_batch_size": 2,
|
| 144 |
"trial_name": null,
|
| 145 |
"trial_params": null
|
last-checkpoint/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5496
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fc378f68851406ff2cbb4bd474c2caf3a38d9a74ccb912ae832b6d6e36628285
|
| 3 |
size 5496
|