Training in progress, epoch 9, checkpoint
Browse files- checkpoint-729/model.safetensors +1 -1
- checkpoint-729/optimizer.pt +1 -1
- checkpoint-729/rng_state.pth +1 -1
- checkpoint-729/trainer_state.json +237 -237
- checkpoint-729/training_args.bin +1 -1
checkpoint-729/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 592318676
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b941de8ae607041533aa196f81b72b6f39dc290b5345e451132ff1cb1e2159c9
|
| 3 |
size 592318676
|
checkpoint-729/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1014645498
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5e131d3c2298937f311923fdd5335558cdc5b55661710b215ea8c787ba81f096
|
| 3 |
size 1014645498
|
checkpoint-729/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 sha256:0968d0d979e679458f54b3ce479d877ab7f754e313e39c8158ce8426e6dbe221
|
| 3 |
size 14244
|
checkpoint-729/trainer_state.json
CHANGED
|
@@ -11,358 +11,358 @@
|
|
| 11 |
{
|
| 12 |
"epoch": 1.0,
|
| 13 |
"eval_B": {
|
| 14 |
-
"f1-score": 0.
|
| 15 |
-
"precision": 0.
|
| 16 |
-
"recall": 0.
|
| 17 |
-
"support":
|
| 18 |
},
|
| 19 |
"eval_I": {
|
| 20 |
-
"f1-score": 0.
|
| 21 |
-
"precision": 0.
|
| 22 |
-
"recall": 0.
|
| 23 |
-
"support":
|
| 24 |
},
|
| 25 |
"eval_O": {
|
| 26 |
-
"f1-score": 0.
|
| 27 |
-
"precision": 0.
|
| 28 |
-
"recall": 0.
|
| 29 |
-
"support":
|
| 30 |
},
|
| 31 |
-
"eval_accuracy": 0.
|
| 32 |
-
"eval_loss": 0.
|
| 33 |
"eval_macro avg": {
|
| 34 |
-
"f1-score": 0.
|
| 35 |
-
"precision": 0.
|
| 36 |
-
"recall": 0.
|
| 37 |
-
"support":
|
| 38 |
-
},
|
| 39 |
-
"eval_runtime": 4.
|
| 40 |
-
"eval_samples_per_second": 17.
|
| 41 |
-
"eval_steps_per_second": 2.
|
| 42 |
"eval_weighted avg": {
|
| 43 |
-
"f1-score": 0.
|
| 44 |
-
"precision": 0.
|
| 45 |
-
"recall": 0.
|
| 46 |
-
"support":
|
| 47 |
},
|
| 48 |
"step": 81
|
| 49 |
},
|
| 50 |
{
|
| 51 |
"epoch": 2.0,
|
| 52 |
"eval_B": {
|
| 53 |
-
"f1-score": 0.
|
| 54 |
-
"precision": 0.
|
| 55 |
-
"recall": 0.
|
| 56 |
-
"support":
|
| 57 |
},
|
| 58 |
"eval_I": {
|
| 59 |
-
"f1-score": 0.
|
| 60 |
-
"precision": 0.
|
| 61 |
-
"recall": 0.
|
| 62 |
-
"support":
|
| 63 |
},
|
| 64 |
"eval_O": {
|
| 65 |
-
"f1-score": 0.
|
| 66 |
-
"precision": 0.
|
| 67 |
-
"recall": 0.
|
| 68 |
-
"support":
|
| 69 |
},
|
| 70 |
-
"eval_accuracy": 0.
|
| 71 |
-
"eval_loss": 0.
|
| 72 |
"eval_macro avg": {
|
| 73 |
-
"f1-score": 0.
|
| 74 |
-
"precision": 0.
|
| 75 |
-
"recall": 0.
|
| 76 |
-
"support":
|
| 77 |
-
},
|
| 78 |
-
"eval_runtime": 4.
|
| 79 |
-
"eval_samples_per_second": 17.
|
| 80 |
-
"eval_steps_per_second": 2.
|
| 81 |
"eval_weighted avg": {
|
| 82 |
-
"f1-score": 0.
|
| 83 |
-
"precision": 0.
|
| 84 |
-
"recall": 0.
|
| 85 |
-
"support":
|
| 86 |
},
|
| 87 |
"step": 162
|
| 88 |
},
|
| 89 |
{
|
| 90 |
"epoch": 3.0,
|
| 91 |
"eval_B": {
|
| 92 |
-
"f1-score": 0.
|
| 93 |
-
"precision": 0.
|
| 94 |
-
"recall": 0.
|
| 95 |
-
"support":
|
| 96 |
},
|
| 97 |
"eval_I": {
|
| 98 |
-
"f1-score": 0.
|
| 99 |
-
"precision": 0.
|
| 100 |
-
"recall": 0.
|
| 101 |
-
"support":
|
| 102 |
},
|
| 103 |
"eval_O": {
|
| 104 |
-
"f1-score": 0.
|
| 105 |
-
"precision": 0.
|
| 106 |
-
"recall": 0.
|
| 107 |
-
"support":
|
| 108 |
},
|
| 109 |
-
"eval_accuracy": 0.
|
| 110 |
-
"eval_loss": 0.
|
| 111 |
"eval_macro avg": {
|
| 112 |
-
"f1-score": 0.
|
| 113 |
-
"precision": 0.
|
| 114 |
-
"recall": 0.
|
| 115 |
-
"support":
|
| 116 |
-
},
|
| 117 |
-
"eval_runtime": 4.
|
| 118 |
-
"eval_samples_per_second": 17.
|
| 119 |
-
"eval_steps_per_second": 2.
|
| 120 |
"eval_weighted avg": {
|
| 121 |
-
"f1-score": 0.
|
| 122 |
-
"precision": 0.
|
| 123 |
-
"recall": 0.
|
| 124 |
-
"support":
|
| 125 |
},
|
| 126 |
"step": 243
|
| 127 |
},
|
| 128 |
{
|
| 129 |
"epoch": 4.0,
|
| 130 |
"eval_B": {
|
| 131 |
-
"f1-score": 0.
|
| 132 |
-
"precision": 0.
|
| 133 |
-
"recall": 0.
|
| 134 |
-
"support":
|
| 135 |
},
|
| 136 |
"eval_I": {
|
| 137 |
-
"f1-score": 0.
|
| 138 |
-
"precision": 0.
|
| 139 |
-
"recall": 0.
|
| 140 |
-
"support":
|
| 141 |
},
|
| 142 |
"eval_O": {
|
| 143 |
-
"f1-score": 0.
|
| 144 |
-
"precision": 0.
|
| 145 |
-
"recall": 0.
|
| 146 |
-
"support":
|
| 147 |
},
|
| 148 |
-
"eval_accuracy": 0.
|
| 149 |
-
"eval_loss": 0.
|
| 150 |
"eval_macro avg": {
|
| 151 |
-
"f1-score": 0.
|
| 152 |
-
"precision": 0.
|
| 153 |
-
"recall": 0.
|
| 154 |
-
"support":
|
| 155 |
-
},
|
| 156 |
-
"eval_runtime": 4.
|
| 157 |
-
"eval_samples_per_second": 17.
|
| 158 |
-
"eval_steps_per_second": 2.
|
| 159 |
"eval_weighted avg": {
|
| 160 |
-
"f1-score": 0.
|
| 161 |
-
"precision": 0.
|
| 162 |
-
"recall": 0.
|
| 163 |
-
"support":
|
| 164 |
},
|
| 165 |
"step": 324
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 5.0,
|
| 169 |
"eval_B": {
|
| 170 |
-
"f1-score": 0.
|
| 171 |
-
"precision": 0.
|
| 172 |
-
"recall": 0.
|
| 173 |
-
"support":
|
| 174 |
},
|
| 175 |
"eval_I": {
|
| 176 |
-
"f1-score": 0.
|
| 177 |
-
"precision": 0.
|
| 178 |
-
"recall": 0.
|
| 179 |
-
"support":
|
| 180 |
},
|
| 181 |
"eval_O": {
|
| 182 |
-
"f1-score": 0.
|
| 183 |
-
"precision": 0.
|
| 184 |
-
"recall": 0.
|
| 185 |
-
"support":
|
| 186 |
},
|
| 187 |
-
"eval_accuracy": 0.
|
| 188 |
-
"eval_loss": 0.
|
| 189 |
"eval_macro avg": {
|
| 190 |
-
"f1-score": 0.
|
| 191 |
-
"precision": 0.
|
| 192 |
-
"recall": 0.
|
| 193 |
-
"support":
|
| 194 |
-
},
|
| 195 |
-
"eval_runtime": 4.
|
| 196 |
-
"eval_samples_per_second":
|
| 197 |
-
"eval_steps_per_second": 2.
|
| 198 |
"eval_weighted avg": {
|
| 199 |
-
"f1-score": 0.
|
| 200 |
-
"precision": 0.
|
| 201 |
-
"recall": 0.
|
| 202 |
-
"support":
|
| 203 |
},
|
| 204 |
"step": 405
|
| 205 |
},
|
| 206 |
{
|
| 207 |
"epoch": 6.0,
|
| 208 |
"eval_B": {
|
| 209 |
-
"f1-score": 0.
|
| 210 |
-
"precision": 0.
|
| 211 |
-
"recall": 0.
|
| 212 |
-
"support":
|
| 213 |
},
|
| 214 |
"eval_I": {
|
| 215 |
-
"f1-score": 0.
|
| 216 |
-
"precision": 0.
|
| 217 |
-
"recall": 0.
|
| 218 |
-
"support":
|
| 219 |
},
|
| 220 |
"eval_O": {
|
| 221 |
-
"f1-score": 0.
|
| 222 |
-
"precision": 0.
|
| 223 |
-
"recall": 0.
|
| 224 |
-
"support":
|
| 225 |
},
|
| 226 |
-
"eval_accuracy": 0.
|
| 227 |
-
"eval_loss": 0.
|
| 228 |
"eval_macro avg": {
|
| 229 |
-
"f1-score": 0.
|
| 230 |
-
"precision": 0.
|
| 231 |
-
"recall": 0.
|
| 232 |
-
"support":
|
| 233 |
-
},
|
| 234 |
-
"eval_runtime": 4.
|
| 235 |
-
"eval_samples_per_second":
|
| 236 |
-
"eval_steps_per_second": 2.
|
| 237 |
"eval_weighted avg": {
|
| 238 |
-
"f1-score": 0.
|
| 239 |
-
"precision": 0.
|
| 240 |
-
"recall": 0.
|
| 241 |
-
"support":
|
| 242 |
},
|
| 243 |
"step": 486
|
| 244 |
},
|
| 245 |
{
|
| 246 |
"epoch": 6.17,
|
| 247 |
-
"grad_norm":
|
| 248 |
"learning_rate": 1.7530864197530865e-05,
|
| 249 |
-
"loss": 0.
|
| 250 |
"step": 500
|
| 251 |
},
|
| 252 |
{
|
| 253 |
"epoch": 7.0,
|
| 254 |
"eval_B": {
|
| 255 |
-
"f1-score": 0.
|
| 256 |
-
"precision": 0.
|
| 257 |
-
"recall": 0.
|
| 258 |
-
"support":
|
| 259 |
},
|
| 260 |
"eval_I": {
|
| 261 |
-
"f1-score": 0.
|
| 262 |
-
"precision": 0.
|
| 263 |
-
"recall": 0.
|
| 264 |
-
"support":
|
| 265 |
},
|
| 266 |
"eval_O": {
|
| 267 |
-
"f1-score": 0.
|
| 268 |
-
"precision": 0.
|
| 269 |
-
"recall": 0.
|
| 270 |
-
"support":
|
| 271 |
},
|
| 272 |
-
"eval_accuracy": 0.
|
| 273 |
-
"eval_loss": 0.
|
| 274 |
"eval_macro avg": {
|
| 275 |
-
"f1-score": 0.
|
| 276 |
-
"precision": 0.
|
| 277 |
-
"recall": 0.
|
| 278 |
-
"support":
|
| 279 |
-
},
|
| 280 |
-
"eval_runtime": 4.
|
| 281 |
-
"eval_samples_per_second":
|
| 282 |
-
"eval_steps_per_second": 2.
|
| 283 |
"eval_weighted avg": {
|
| 284 |
-
"f1-score": 0.
|
| 285 |
-
"precision": 0.
|
| 286 |
-
"recall": 0.
|
| 287 |
-
"support":
|
| 288 |
},
|
| 289 |
"step": 567
|
| 290 |
},
|
| 291 |
{
|
| 292 |
"epoch": 8.0,
|
| 293 |
"eval_B": {
|
| 294 |
-
"f1-score": 0.
|
| 295 |
-
"precision": 0.
|
| 296 |
-
"recall": 0.
|
| 297 |
-
"support":
|
| 298 |
},
|
| 299 |
"eval_I": {
|
| 300 |
-
"f1-score": 0.
|
| 301 |
-
"precision": 0.
|
| 302 |
-
"recall": 0.
|
| 303 |
-
"support":
|
| 304 |
},
|
| 305 |
"eval_O": {
|
| 306 |
-
"f1-score": 0.
|
| 307 |
-
"precision": 0.
|
| 308 |
-
"recall": 0.
|
| 309 |
-
"support":
|
| 310 |
},
|
| 311 |
-
"eval_accuracy": 0.
|
| 312 |
-
"eval_loss": 0.
|
| 313 |
"eval_macro avg": {
|
| 314 |
-
"f1-score": 0.
|
| 315 |
-
"precision": 0.
|
| 316 |
-
"recall": 0.
|
| 317 |
-
"support":
|
| 318 |
-
},
|
| 319 |
-
"eval_runtime": 4.
|
| 320 |
-
"eval_samples_per_second":
|
| 321 |
-
"eval_steps_per_second": 2.
|
| 322 |
"eval_weighted avg": {
|
| 323 |
-
"f1-score": 0.
|
| 324 |
-
"precision": 0.
|
| 325 |
-
"recall": 0.
|
| 326 |
-
"support":
|
| 327 |
},
|
| 328 |
"step": 648
|
| 329 |
},
|
| 330 |
{
|
| 331 |
"epoch": 9.0,
|
| 332 |
"eval_B": {
|
| 333 |
-
"f1-score": 0.
|
| 334 |
-
"precision": 0.
|
| 335 |
-
"recall": 0.
|
| 336 |
-
"support":
|
| 337 |
},
|
| 338 |
"eval_I": {
|
| 339 |
-
"f1-score": 0.
|
| 340 |
-
"precision": 0.
|
| 341 |
-
"recall": 0.
|
| 342 |
-
"support":
|
| 343 |
},
|
| 344 |
"eval_O": {
|
| 345 |
-
"f1-score": 0.
|
| 346 |
-
"precision": 0.
|
| 347 |
-
"recall": 0.
|
| 348 |
-
"support":
|
| 349 |
},
|
| 350 |
-
"eval_accuracy": 0.
|
| 351 |
-
"eval_loss": 0.
|
| 352 |
"eval_macro avg": {
|
| 353 |
-
"f1-score": 0.
|
| 354 |
-
"precision": 0.
|
| 355 |
-
"recall": 0.
|
| 356 |
-
"support":
|
| 357 |
-
},
|
| 358 |
-
"eval_runtime": 4.
|
| 359 |
-
"eval_samples_per_second": 17.
|
| 360 |
-
"eval_steps_per_second": 2.
|
| 361 |
"eval_weighted avg": {
|
| 362 |
-
"f1-score": 0.
|
| 363 |
-
"precision": 0.
|
| 364 |
-
"recall": 0.
|
| 365 |
-
"support":
|
| 366 |
},
|
| 367 |
"step": 729
|
| 368 |
}
|
|
@@ -372,7 +372,7 @@
|
|
| 372 |
"num_input_tokens_seen": 0,
|
| 373 |
"num_train_epochs": 50,
|
| 374 |
"save_steps": 500,
|
| 375 |
-
"total_flos":
|
| 376 |
"train_batch_size": 4,
|
| 377 |
"trial_name": null,
|
| 378 |
"trial_params": null
|
|
|
|
| 11 |
{
|
| 12 |
"epoch": 1.0,
|
| 13 |
"eval_B": {
|
| 14 |
+
"f1-score": 0.8331822302810515,
|
| 15 |
+
"precision": 0.7901977644024075,
|
| 16 |
+
"recall": 0.8811121764141898,
|
| 17 |
+
"support": 1043.0
|
| 18 |
},
|
| 19 |
"eval_I": {
|
| 20 |
+
"f1-score": 0.9471294753175105,
|
| 21 |
+
"precision": 0.9443616777446711,
|
| 22 |
+
"recall": 0.9499135446685879,
|
| 23 |
+
"support": 17350.0
|
| 24 |
},
|
| 25 |
"eval_O": {
|
| 26 |
+
"f1-score": 0.8992868897421833,
|
| 27 |
+
"precision": 0.9103731674811195,
|
| 28 |
+
"recall": 0.8884673748103187,
|
| 29 |
+
"support": 9226.0
|
| 30 |
},
|
| 31 |
+
"eval_accuracy": 0.9267895289474637,
|
| 32 |
+
"eval_loss": 0.20478281378746033,
|
| 33 |
"eval_macro avg": {
|
| 34 |
+
"f1-score": 0.8931995317802484,
|
| 35 |
+
"precision": 0.8816442032093993,
|
| 36 |
+
"recall": 0.9064976986310321,
|
| 37 |
+
"support": 27619.0
|
| 38 |
+
},
|
| 39 |
+
"eval_runtime": 4.6128,
|
| 40 |
+
"eval_samples_per_second": 17.343,
|
| 41 |
+
"eval_steps_per_second": 2.168,
|
| 42 |
"eval_weighted avg": {
|
| 43 |
+
"f1-score": 0.9268447919078652,
|
| 44 |
+
"precision": 0.9271861479533134,
|
| 45 |
+
"recall": 0.9267895289474637,
|
| 46 |
+
"support": 27619.0
|
| 47 |
},
|
| 48 |
"step": 81
|
| 49 |
},
|
| 50 |
{
|
| 51 |
"epoch": 2.0,
|
| 52 |
"eval_B": {
|
| 53 |
+
"f1-score": 0.8682547399124939,
|
| 54 |
+
"precision": 0.8806706114398422,
|
| 55 |
+
"recall": 0.8561840843720039,
|
| 56 |
+
"support": 1043.0
|
| 57 |
},
|
| 58 |
"eval_I": {
|
| 59 |
+
"f1-score": 0.9590983771942466,
|
| 60 |
+
"precision": 0.9592919333448654,
|
| 61 |
+
"recall": 0.9589048991354466,
|
| 62 |
+
"support": 17350.0
|
| 63 |
},
|
| 64 |
"eval_O": {
|
| 65 |
+
"f1-score": 0.9226525313717006,
|
| 66 |
+
"precision": 0.9208594256100194,
|
| 67 |
+
"recall": 0.9244526338608281,
|
| 68 |
+
"support": 9226.0
|
| 69 |
},
|
| 70 |
+
"eval_accuracy": 0.9435171439950758,
|
| 71 |
+
"eval_loss": 0.16574698686599731,
|
| 72 |
"eval_macro avg": {
|
| 73 |
+
"f1-score": 0.9166685494928136,
|
| 74 |
+
"precision": 0.9202739901315756,
|
| 75 |
+
"recall": 0.9131805391227594,
|
| 76 |
+
"support": 27619.0
|
| 77 |
+
},
|
| 78 |
+
"eval_runtime": 4.6238,
|
| 79 |
+
"eval_samples_per_second": 17.302,
|
| 80 |
+
"eval_steps_per_second": 2.163,
|
| 81 |
"eval_weighted avg": {
|
| 82 |
+
"f1-score": 0.9434932036816766,
|
| 83 |
+
"precision": 0.9434846863370583,
|
| 84 |
+
"recall": 0.9435171439950758,
|
| 85 |
+
"support": 27619.0
|
| 86 |
},
|
| 87 |
"step": 162
|
| 88 |
},
|
| 89 |
{
|
| 90 |
"epoch": 3.0,
|
| 91 |
"eval_B": {
|
| 92 |
+
"f1-score": 0.8791725434884815,
|
| 93 |
+
"precision": 0.8625461254612546,
|
| 94 |
+
"recall": 0.8964525407478428,
|
| 95 |
+
"support": 1043.0
|
| 96 |
},
|
| 97 |
"eval_I": {
|
| 98 |
+
"f1-score": 0.9588372159825352,
|
| 99 |
+
"precision": 0.9557349825345015,
|
| 100 |
+
"recall": 0.9619596541786744,
|
| 101 |
+
"support": 17350.0
|
| 102 |
},
|
| 103 |
"eval_O": {
|
| 104 |
+
"f1-score": 0.9204284621270084,
|
| 105 |
+
"precision": 0.9282407407407407,
|
| 106 |
+
"recall": 0.9127465857359636,
|
| 107 |
+
"support": 9226.0
|
| 108 |
},
|
| 109 |
+
"eval_accuracy": 0.9430464535283681,
|
| 110 |
+
"eval_loss": 0.15394224226474762,
|
| 111 |
"eval_macro avg": {
|
| 112 |
+
"f1-score": 0.9194794071993417,
|
| 113 |
+
"precision": 0.9155072829121655,
|
| 114 |
+
"recall": 0.9237195935541602,
|
| 115 |
+
"support": 27619.0
|
| 116 |
+
},
|
| 117 |
+
"eval_runtime": 4.6233,
|
| 118 |
+
"eval_samples_per_second": 17.303,
|
| 119 |
+
"eval_steps_per_second": 2.163,
|
| 120 |
"eval_weighted avg": {
|
| 121 |
+
"f1-score": 0.9429985029052194,
|
| 122 |
+
"precision": 0.9430314866542512,
|
| 123 |
+
"recall": 0.9430464535283681,
|
| 124 |
+
"support": 27619.0
|
| 125 |
},
|
| 126 |
"step": 243
|
| 127 |
},
|
| 128 |
{
|
| 129 |
"epoch": 4.0,
|
| 130 |
"eval_B": {
|
| 131 |
+
"f1-score": 0.8800746616892207,
|
| 132 |
+
"precision": 0.8572727272727273,
|
| 133 |
+
"recall": 0.9041227229146692,
|
| 134 |
+
"support": 1043.0
|
| 135 |
},
|
| 136 |
"eval_I": {
|
| 137 |
+
"f1-score": 0.9537844036697248,
|
| 138 |
+
"precision": 0.9488876212207644,
|
| 139 |
+
"recall": 0.9587319884726225,
|
| 140 |
+
"support": 17350.0
|
| 141 |
},
|
| 142 |
"eval_O": {
|
| 143 |
+
"f1-score": 0.9100192149327477,
|
| 144 |
+
"precision": 0.9220157970853265,
|
| 145 |
+
"recall": 0.8983308042488619,
|
| 146 |
+
"support": 9226.0
|
| 147 |
},
|
| 148 |
+
"eval_accuracy": 0.9364929939534379,
|
| 149 |
+
"eval_loss": 0.19801080226898193,
|
| 150 |
"eval_macro avg": {
|
| 151 |
+
"f1-score": 0.9146260934305644,
|
| 152 |
+
"precision": 0.9093920485262728,
|
| 153 |
+
"recall": 0.9203951718787179,
|
| 154 |
+
"support": 27619.0
|
| 155 |
+
},
|
| 156 |
+
"eval_runtime": 4.6132,
|
| 157 |
+
"eval_samples_per_second": 17.342,
|
| 158 |
+
"eval_steps_per_second": 2.168,
|
| 159 |
"eval_weighted avg": {
|
| 160 |
+
"f1-score": 0.9363812792925563,
|
| 161 |
+
"precision": 0.9364514800186444,
|
| 162 |
+
"recall": 0.9364929939534379,
|
| 163 |
+
"support": 27619.0
|
| 164 |
},
|
| 165 |
"step": 324
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 5.0,
|
| 169 |
"eval_B": {
|
| 170 |
+
"f1-score": 0.883877159309021,
|
| 171 |
+
"precision": 0.8847262247838616,
|
| 172 |
+
"recall": 0.8830297219558965,
|
| 173 |
+
"support": 1043.0
|
| 174 |
},
|
| 175 |
"eval_I": {
|
| 176 |
+
"f1-score": 0.9591500482927107,
|
| 177 |
+
"precision": 0.9456643513331839,
|
| 178 |
+
"recall": 0.9730259365994236,
|
| 179 |
+
"support": 17350.0
|
| 180 |
},
|
| 181 |
"eval_O": {
|
| 182 |
+
"f1-score": 0.9191176470588236,
|
| 183 |
+
"precision": 0.9454503781801513,
|
| 184 |
+
"recall": 0.8942120095382614,
|
| 185 |
+
"support": 9226.0
|
| 186 |
},
|
| 187 |
+
"eval_accuracy": 0.9432999022412107,
|
| 188 |
+
"eval_loss": 0.20074255764484406,
|
| 189 |
"eval_macro avg": {
|
| 190 |
+
"f1-score": 0.9207149515535183,
|
| 191 |
+
"precision": 0.9252803180990656,
|
| 192 |
+
"recall": 0.9167558893645271,
|
| 193 |
+
"support": 27619.0
|
| 194 |
+
},
|
| 195 |
+
"eval_runtime": 4.6092,
|
| 196 |
+
"eval_samples_per_second": 17.356,
|
| 197 |
+
"eval_steps_per_second": 2.17,
|
| 198 |
"eval_weighted avg": {
|
| 199 |
+
"f1-score": 0.9429348139614955,
|
| 200 |
+
"precision": 0.9432916158141273,
|
| 201 |
+
"recall": 0.9432999022412107,
|
| 202 |
+
"support": 27619.0
|
| 203 |
},
|
| 204 |
"step": 405
|
| 205 |
},
|
| 206 |
{
|
| 207 |
"epoch": 6.0,
|
| 208 |
"eval_B": {
|
| 209 |
+
"f1-score": 0.8897338403041826,
|
| 210 |
+
"precision": 0.882186616399623,
|
| 211 |
+
"recall": 0.8974113135186961,
|
| 212 |
+
"support": 1043.0
|
| 213 |
},
|
| 214 |
"eval_I": {
|
| 215 |
+
"f1-score": 0.9624160683661308,
|
| 216 |
+
"precision": 0.9707969272268809,
|
| 217 |
+
"recall": 0.954178674351585,
|
| 218 |
+
"support": 17350.0
|
| 219 |
},
|
| 220 |
"eval_O": {
|
| 221 |
+
"f1-score": 0.9297955261331482,
|
| 222 |
+
"precision": 0.9161493950552341,
|
| 223 |
+
"recall": 0.9438543247344461,
|
| 224 |
+
"support": 9226.0
|
| 225 |
},
|
| 226 |
+
"eval_accuracy": 0.9485861182519281,
|
| 227 |
+
"eval_loss": 0.16565027832984924,
|
| 228 |
"eval_macro avg": {
|
| 229 |
+
"f1-score": 0.9273151449344872,
|
| 230 |
+
"precision": 0.9230443128939126,
|
| 231 |
+
"recall": 0.9318147708682424,
|
| 232 |
+
"support": 27619.0
|
| 233 |
+
},
|
| 234 |
+
"eval_runtime": 4.6219,
|
| 235 |
+
"eval_samples_per_second": 17.309,
|
| 236 |
+
"eval_steps_per_second": 2.164,
|
| 237 |
"eval_weighted avg": {
|
| 238 |
+
"f1-score": 0.9487745648174827,
|
| 239 |
+
"precision": 0.9491959030765336,
|
| 240 |
+
"recall": 0.9485861182519281,
|
| 241 |
+
"support": 27619.0
|
| 242 |
},
|
| 243 |
"step": 486
|
| 244 |
},
|
| 245 |
{
|
| 246 |
"epoch": 6.17,
|
| 247 |
+
"grad_norm": 4.767655849456787,
|
| 248 |
"learning_rate": 1.7530864197530865e-05,
|
| 249 |
+
"loss": 0.1585,
|
| 250 |
"step": 500
|
| 251 |
},
|
| 252 |
{
|
| 253 |
"epoch": 7.0,
|
| 254 |
"eval_B": {
|
| 255 |
+
"f1-score": 0.8802588996763754,
|
| 256 |
+
"precision": 0.85,
|
| 257 |
+
"recall": 0.912751677852349,
|
| 258 |
+
"support": 1043.0
|
| 259 |
},
|
| 260 |
"eval_I": {
|
| 261 |
+
"f1-score": 0.958423523458803,
|
| 262 |
+
"precision": 0.9354661691269275,
|
| 263 |
+
"recall": 0.9825360230547551,
|
| 264 |
+
"support": 17350.0
|
| 265 |
},
|
| 266 |
"eval_O": {
|
| 267 |
+
"f1-score": 0.9139526911210146,
|
| 268 |
+
"precision": 0.9664088931851136,
|
| 269 |
+
"recall": 0.8668978972469109,
|
| 270 |
+
"support": 9226.0
|
| 271 |
},
|
| 272 |
+
"eval_accuracy": 0.9412723125384699,
|
| 273 |
+
"eval_loss": 0.2591131329536438,
|
| 274 |
"eval_macro avg": {
|
| 275 |
+
"f1-score": 0.9175450380853977,
|
| 276 |
+
"precision": 0.917291687437347,
|
| 277 |
+
"recall": 0.9207285327180049,
|
| 278 |
+
"support": 27619.0
|
| 279 |
+
},
|
| 280 |
+
"eval_runtime": 4.617,
|
| 281 |
+
"eval_samples_per_second": 17.327,
|
| 282 |
+
"eval_steps_per_second": 2.166,
|
| 283 |
"eval_weighted avg": {
|
| 284 |
+
"f1-score": 0.9406164485555297,
|
| 285 |
+
"precision": 0.9425749115781907,
|
| 286 |
+
"recall": 0.9412723125384699,
|
| 287 |
+
"support": 27619.0
|
| 288 |
},
|
| 289 |
"step": 567
|
| 290 |
},
|
| 291 |
{
|
| 292 |
"epoch": 8.0,
|
| 293 |
"eval_B": {
|
| 294 |
+
"f1-score": 0.8687910028116214,
|
| 295 |
+
"precision": 0.84967919340055,
|
| 296 |
+
"recall": 0.8887823585810163,
|
| 297 |
+
"support": 1043.0
|
| 298 |
},
|
| 299 |
"eval_I": {
|
| 300 |
+
"f1-score": 0.9595010203788336,
|
| 301 |
+
"precision": 0.956997878562009,
|
| 302 |
+
"recall": 0.9620172910662824,
|
| 303 |
+
"support": 17350.0
|
| 304 |
},
|
| 305 |
"eval_O": {
|
| 306 |
+
"f1-score": 0.9212035166275324,
|
| 307 |
+
"precision": 0.9282491471332673,
|
| 308 |
+
"recall": 0.9142640364188164,
|
| 309 |
+
"support": 9226.0
|
| 310 |
},
|
| 311 |
+
"eval_accuracy": 0.9432999022412107,
|
| 312 |
+
"eval_loss": 0.2693409323692322,
|
| 313 |
"eval_macro avg": {
|
| 314 |
+
"f1-score": 0.9164985132726624,
|
| 315 |
+
"precision": 0.9116420730319422,
|
| 316 |
+
"recall": 0.9216878953553717,
|
| 317 |
+
"support": 27619.0
|
| 318 |
+
},
|
| 319 |
+
"eval_runtime": 4.6153,
|
| 320 |
+
"eval_samples_per_second": 17.333,
|
| 321 |
+
"eval_steps_per_second": 2.167,
|
| 322 |
"eval_weighted avg": {
|
| 323 |
+
"f1-score": 0.9432823550422136,
|
| 324 |
+
"precision": 0.9433417293609165,
|
| 325 |
+
"recall": 0.9432999022412107,
|
| 326 |
+
"support": 27619.0
|
| 327 |
},
|
| 328 |
"step": 648
|
| 329 |
},
|
| 330 |
{
|
| 331 |
"epoch": 9.0,
|
| 332 |
"eval_B": {
|
| 333 |
+
"f1-score": 0.8645343367826904,
|
| 334 |
+
"precision": 0.8485687903970452,
|
| 335 |
+
"recall": 0.8811121764141898,
|
| 336 |
+
"support": 1043.0
|
| 337 |
},
|
| 338 |
"eval_I": {
|
| 339 |
+
"f1-score": 0.9567003348057282,
|
| 340 |
+
"precision": 0.934535260814599,
|
| 341 |
+
"recall": 0.9799423631123919,
|
| 342 |
+
"support": 17350.0
|
| 343 |
},
|
| 344 |
"eval_O": {
|
| 345 |
+
"f1-score": 0.9104673003585861,
|
| 346 |
+
"precision": 0.9586479683567062,
|
| 347 |
+
"recall": 0.8668978972469109,
|
| 348 |
+
"support": 9226.0
|
| 349 |
},
|
| 350 |
+
"eval_accuracy": 0.9384481697382236,
|
| 351 |
+
"eval_loss": 0.3087053894996643,
|
| 352 |
"eval_macro avg": {
|
| 353 |
+
"f1-score": 0.910567323982335,
|
| 354 |
+
"precision": 0.9139173398561168,
|
| 355 |
+
"recall": 0.9093174789244975,
|
| 356 |
+
"support": 27619.0
|
| 357 |
+
},
|
| 358 |
+
"eval_runtime": 4.6156,
|
| 359 |
+
"eval_samples_per_second": 17.333,
|
| 360 |
+
"eval_steps_per_second": 2.167,
|
| 361 |
"eval_weighted avg": {
|
| 362 |
+
"f1-score": 0.9377758584761231,
|
| 363 |
+
"precision": 0.9393435743356523,
|
| 364 |
+
"recall": 0.9384481697382236,
|
| 365 |
+
"support": 27619.0
|
| 366 |
},
|
| 367 |
"step": 729
|
| 368 |
}
|
|
|
|
| 372 |
"num_input_tokens_seen": 0,
|
| 373 |
"num_train_epochs": 50,
|
| 374 |
"save_steps": 500,
|
| 375 |
+
"total_flos": 1294079874620400.0,
|
| 376 |
"train_batch_size": 4,
|
| 377 |
"trial_name": null,
|
| 378 |
"trial_params": null
|
checkpoint-729/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4856
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:821ca433db9ddb761291ab61fc06d651ad248cd9d560cdb25f7f905e5aaff14e
|
| 3 |
size 4856
|