Training in progress, step 4000, checkpoint
Browse files
last-checkpoint/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 499730128
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c9b49abb386733d659f8846853b953d8bfa893a5edb2823f8a447929bfd32745
|
| 3 |
size 499730128
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 812034507
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:24d3fa191cfe1dd1dc390f89f18dbbbfa9880de322ada9c6a171a0a774436ce6
|
| 3 |
size 812034507
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14645
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e06dfbf969388fb27efc692631d298abe0d1c57738a0c64598fe664b1ac46b1
|
| 3 |
size 14645
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1465
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cf24e4defdf46195400e8438b36d0e4a5a96b33aa46ca9900cba0b1590594179
|
| 3 |
size 1465
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -2,9 +2,9 @@
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
-
"epoch": 0.
|
| 6 |
"eval_steps": 1000,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -166,6 +166,164 @@
|
|
| 166 |
"eval_samples_per_second": 216.396,
|
| 167 |
"eval_steps_per_second": 1.731,
|
| 168 |
"step": 2000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 169 |
}
|
| 170 |
],
|
| 171 |
"logging_steps": 100,
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.08,
|
| 6 |
"eval_steps": 1000,
|
| 7 |
+
"global_step": 4000,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 166 |
"eval_samples_per_second": 216.396,
|
| 167 |
"eval_steps_per_second": 1.731,
|
| 168 |
"step": 2000
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 0.042,
|
| 172 |
+
"grad_norm": 0.3252929747104645,
|
| 173 |
+
"learning_rate": 0.016792,
|
| 174 |
+
"loss": 4.336614685058594,
|
| 175 |
+
"step": 2100
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"epoch": 0.044,
|
| 179 |
+
"grad_norm": 0.3191538155078888,
|
| 180 |
+
"learning_rate": 0.017592,
|
| 181 |
+
"loss": 4.3118289184570315,
|
| 182 |
+
"step": 2200
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 0.046,
|
| 186 |
+
"grad_norm": 0.11609218269586563,
|
| 187 |
+
"learning_rate": 0.018392,
|
| 188 |
+
"loss": 4.328140563964844,
|
| 189 |
+
"step": 2300
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.048,
|
| 193 |
+
"grad_norm": 0.09269429743289948,
|
| 194 |
+
"learning_rate": 0.019192,
|
| 195 |
+
"loss": 4.2995166015625,
|
| 196 |
+
"step": 2400
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"epoch": 0.05,
|
| 200 |
+
"grad_norm": 0.11243760585784912,
|
| 201 |
+
"learning_rate": 0.019992000000000003,
|
| 202 |
+
"loss": 4.306504821777343,
|
| 203 |
+
"step": 2500
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 0.052,
|
| 207 |
+
"grad_norm": 0.1890493929386139,
|
| 208 |
+
"learning_rate": 0.019999785636239033,
|
| 209 |
+
"loss": 4.267638549804688,
|
| 210 |
+
"step": 2600
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 0.054,
|
| 214 |
+
"grad_norm": 0.09589467197656631,
|
| 215 |
+
"learning_rate": 0.01999913387133122,
|
| 216 |
+
"loss": 4.277190551757813,
|
| 217 |
+
"step": 2700
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 0.056,
|
| 221 |
+
"grad_norm": 0.21187792718410492,
|
| 222 |
+
"learning_rate": 0.019998044711915176,
|
| 223 |
+
"loss": 4.244146118164062,
|
| 224 |
+
"step": 2800
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 0.058,
|
| 228 |
+
"grad_norm": 0.18817682564258575,
|
| 229 |
+
"learning_rate": 0.019996518205634257,
|
| 230 |
+
"loss": 4.229488220214844,
|
| 231 |
+
"step": 2900
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.06,
|
| 235 |
+
"grad_norm": 0.1112157553434372,
|
| 236 |
+
"learning_rate": 0.0199945544192628,
|
| 237 |
+
"loss": 4.231150512695312,
|
| 238 |
+
"step": 3000
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"epoch": 0.06,
|
| 242 |
+
"eval_accuracy": 0.2808140900195695,
|
| 243 |
+
"eval_loss": 4.229600429534912,
|
| 244 |
+
"eval_runtime": 4.8217,
|
| 245 |
+
"eval_samples_per_second": 207.397,
|
| 246 |
+
"eval_steps_per_second": 1.659,
|
| 247 |
+
"step": 3000
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.062,
|
| 251 |
+
"grad_norm": 0.3390547037124634,
|
| 252 |
+
"learning_rate": 0.019992153438703173,
|
| 253 |
+
"loss": 4.223145141601562,
|
| 254 |
+
"step": 3100
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.064,
|
| 258 |
+
"grad_norm": 0.7005836367607117,
|
| 259 |
+
"learning_rate": 0.019989315368982054,
|
| 260 |
+
"loss": 4.203560791015625,
|
| 261 |
+
"step": 3200
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.066,
|
| 265 |
+
"grad_norm": 0.1793125420808792,
|
| 266 |
+
"learning_rate": 0.019986040334245798,
|
| 267 |
+
"loss": 4.1834033203125,
|
| 268 |
+
"step": 3300
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.068,
|
| 272 |
+
"grad_norm": 0.11384831368923187,
|
| 273 |
+
"learning_rate": 0.019982328477755038,
|
| 274 |
+
"loss": 4.1909048461914065,
|
| 275 |
+
"step": 3400
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.07,
|
| 279 |
+
"grad_norm": 0.6594609022140503,
|
| 280 |
+
"learning_rate": 0.019978179961878402,
|
| 281 |
+
"loss": 4.169663696289063,
|
| 282 |
+
"step": 3500
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.072,
|
| 286 |
+
"grad_norm": 0.3771114647388458,
|
| 287 |
+
"learning_rate": 0.01997359496808541,
|
| 288 |
+
"loss": 4.174803161621094,
|
| 289 |
+
"step": 3600
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.074,
|
| 293 |
+
"grad_norm": 0.31003686785697937,
|
| 294 |
+
"learning_rate": 0.01996857369693855,
|
| 295 |
+
"loss": 4.1531503295898435,
|
| 296 |
+
"step": 3700
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.076,
|
| 300 |
+
"grad_norm": 0.11918768286705017,
|
| 301 |
+
"learning_rate": 0.019963116368084486,
|
| 302 |
+
"loss": 4.163074951171875,
|
| 303 |
+
"step": 3800
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.078,
|
| 307 |
+
"grad_norm": 0.5589029788970947,
|
| 308 |
+
"learning_rate": 0.01995722322024446,
|
| 309 |
+
"loss": 4.147608032226563,
|
| 310 |
+
"step": 3900
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.08,
|
| 314 |
+
"grad_norm": 0.15616266429424286,
|
| 315 |
+
"learning_rate": 0.01995089451120385,
|
| 316 |
+
"loss": 4.122293701171875,
|
| 317 |
+
"step": 4000
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.08,
|
| 321 |
+
"eval_accuracy": 0.287454011741683,
|
| 322 |
+
"eval_loss": 4.152503967285156,
|
| 323 |
+
"eval_runtime": 4.8042,
|
| 324 |
+
"eval_samples_per_second": 208.152,
|
| 325 |
+
"eval_steps_per_second": 1.665,
|
| 326 |
+
"step": 4000
|
| 327 |
}
|
| 328 |
],
|
| 329 |
"logging_steps": 100,
|