End of training
Browse files- README.md +57 -249
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
CHANGED
|
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
This model is a fine-tuned version of [adalbertojunior/distilbert-portuguese-cased](https://huggingface.co/adalbertojunior/distilbert-portuguese-cased) on the None dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
-
- Loss:
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
@@ -45,254 +45,62 @@ The following hyperparameters were used during training:
|
|
| 45 |
|
| 46 |
### Training results
|
| 47 |
|
| 48 |
-
| Training Loss | Epoch
|
| 49 |
-
|
| 50 |
-
| 6.
|
| 51 |
-
| 5.
|
| 52 |
-
| 4.
|
| 53 |
-
| 3.
|
| 54 |
-
| 3.
|
| 55 |
-
| 3.
|
| 56 |
-
| 3.
|
| 57 |
-
| 3.
|
| 58 |
-
| 2.
|
| 59 |
-
| 2.
|
| 60 |
-
| 2.
|
| 61 |
-
| 2.
|
| 62 |
-
| 2.
|
| 63 |
-
| 2.
|
| 64 |
-
| 2.
|
| 65 |
-
| 2.
|
| 66 |
-
| 2.
|
| 67 |
-
| 2.
|
| 68 |
-
| 2.
|
| 69 |
-
| 2.
|
| 70 |
-
| 2.
|
| 71 |
-
| 2.
|
| 72 |
-
| 2.
|
| 73 |
-
| 1.
|
| 74 |
-
| 1.
|
| 75 |
-
| 1.
|
| 76 |
-
| 1.
|
| 77 |
-
| 1.
|
| 78 |
-
| 1.
|
| 79 |
-
| 1.
|
| 80 |
-
| 1.
|
| 81 |
-
| 1.
|
| 82 |
-
| 1.
|
| 83 |
-
| 1.
|
| 84 |
-
| 1.
|
| 85 |
-
| 1.
|
| 86 |
-
| 1.
|
| 87 |
-
| 1.
|
| 88 |
-
| 1.
|
| 89 |
-
| 1.
|
| 90 |
-
| 1.
|
| 91 |
-
| 1.
|
| 92 |
-
| 1.
|
| 93 |
-
| 1.
|
| 94 |
-
| 1.
|
| 95 |
-
| 1.
|
| 96 |
-
| 1.
|
| 97 |
-
| 1.
|
| 98 |
-
| 1.
|
| 99 |
-
| 1.
|
| 100 |
-
| 1.
|
| 101 |
-
| 1.
|
| 102 |
-
| 1.
|
| 103 |
-
| 1.
|
| 104 |
-
| 1.3553 | 84.6154 | 5500 | 1.2668 |
|
| 105 |
-
| 1.344 | 86.1538 | 5600 | 1.2862 |
|
| 106 |
-
| 1.3368 | 87.6923 | 5700 | 1.2459 |
|
| 107 |
-
| 1.3291 | 89.2308 | 5800 | 1.2634 |
|
| 108 |
-
| 1.3107 | 90.7692 | 5900 | 1.2446 |
|
| 109 |
-
| 1.2974 | 92.3077 | 6000 | 1.2335 |
|
| 110 |
-
| 1.2824 | 93.8462 | 6100 | 1.2124 |
|
| 111 |
-
| 1.2752 | 95.3846 | 6200 | 1.2028 |
|
| 112 |
-
| 1.2713 | 96.9231 | 6300 | 1.1853 |
|
| 113 |
-
| 1.2636 | 98.4615 | 6400 | 1.1745 |
|
| 114 |
-
| 1.2541 | 100.0 | 6500 | 1.1671 |
|
| 115 |
-
| 1.2402 | 101.5385 | 6600 | 1.1789 |
|
| 116 |
-
| 1.2274 | 103.0769 | 6700 | 1.1636 |
|
| 117 |
-
| 1.209 | 104.6154 | 6800 | 1.1557 |
|
| 118 |
-
| 1.2107 | 106.1538 | 6900 | 1.1427 |
|
| 119 |
-
| 1.195 | 107.6923 | 7000 | 1.1452 |
|
| 120 |
-
| 1.1924 | 109.2308 | 7100 | 1.1183 |
|
| 121 |
-
| 1.173 | 110.7692 | 7200 | 1.1141 |
|
| 122 |
-
| 1.1747 | 112.3077 | 7300 | 1.1151 |
|
| 123 |
-
| 1.1589 | 113.8462 | 7400 | 1.0888 |
|
| 124 |
-
| 1.1472 | 115.3846 | 7500 | 1.1126 |
|
| 125 |
-
| 1.1413 | 116.9231 | 7600 | 1.0757 |
|
| 126 |
-
| 1.1389 | 118.4615 | 7700 | 1.0827 |
|
| 127 |
-
| 1.1363 | 120.0 | 7800 | 1.0719 |
|
| 128 |
-
| 1.125 | 121.5385 | 7900 | 1.0649 |
|
| 129 |
-
| 1.1192 | 123.0769 | 8000 | 1.0733 |
|
| 130 |
-
| 1.1039 | 124.6154 | 8100 | 1.0639 |
|
| 131 |
-
| 1.0987 | 126.1538 | 8200 | 1.0635 |
|
| 132 |
-
| 1.0895 | 127.6923 | 8300 | 1.0471 |
|
| 133 |
-
| 1.0843 | 129.2308 | 8400 | 1.0366 |
|
| 134 |
-
| 1.0791 | 130.7692 | 8500 | 1.0172 |
|
| 135 |
-
| 1.0736 | 132.3077 | 8600 | 1.0156 |
|
| 136 |
-
| 1.0716 | 133.8462 | 8700 | 1.0227 |
|
| 137 |
-
| 1.0617 | 135.3846 | 8800 | 1.0112 |
|
| 138 |
-
| 1.0605 | 136.9231 | 8900 | 1.0059 |
|
| 139 |
-
| 1.0505 | 138.4615 | 9000 | 1.0161 |
|
| 140 |
-
| 1.0402 | 140.0 | 9100 | 0.9990 |
|
| 141 |
-
| 1.027 | 141.5385 | 9200 | 0.9798 |
|
| 142 |
-
| 1.027 | 143.0769 | 9300 | 0.9820 |
|
| 143 |
-
| 1.0226 | 144.6154 | 9400 | 0.9800 |
|
| 144 |
-
| 1.0149 | 146.1538 | 9500 | 0.9804 |
|
| 145 |
-
| 1.0099 | 147.6923 | 9600 | 0.9631 |
|
| 146 |
-
| 0.9991 | 149.2308 | 9700 | 0.9735 |
|
| 147 |
-
| 0.9974 | 150.7692 | 9800 | 0.9420 |
|
| 148 |
-
| 0.9927 | 152.3077 | 9900 | 0.9527 |
|
| 149 |
-
| 0.9864 | 153.8462 | 10000 | 0.9456 |
|
| 150 |
-
| 0.981 | 155.3846 | 10100 | 0.9499 |
|
| 151 |
-
| 0.9725 | 156.9231 | 10200 | 0.9353 |
|
| 152 |
-
| 0.9622 | 158.4615 | 10300 | 0.9460 |
|
| 153 |
-
| 0.9653 | 160.0 | 10400 | 0.9444 |
|
| 154 |
-
| 0.9595 | 161.5385 | 10500 | 0.9407 |
|
| 155 |
-
| 0.9516 | 163.0769 | 10600 | 0.9261 |
|
| 156 |
-
| 0.9468 | 164.6154 | 10700 | 0.9103 |
|
| 157 |
-
| 0.9434 | 166.1538 | 10800 | 0.9017 |
|
| 158 |
-
| 0.9413 | 167.6923 | 10900 | 0.9202 |
|
| 159 |
-
| 0.9349 | 169.2308 | 11000 | 0.8925 |
|
| 160 |
-
| 0.9274 | 170.7692 | 11100 | 0.9180 |
|
| 161 |
-
| 0.9213 | 172.3077 | 11200 | 0.9043 |
|
| 162 |
-
| 0.9161 | 173.8462 | 11300 | 0.8984 |
|
| 163 |
-
| 0.9156 | 175.3846 | 11400 | 0.8863 |
|
| 164 |
-
| 0.9133 | 176.9231 | 11500 | 0.8892 |
|
| 165 |
-
| 0.9003 | 178.4615 | 11600 | 0.8647 |
|
| 166 |
-
| 0.9062 | 180.0 | 11700 | 0.8806 |
|
| 167 |
-
| 0.896 | 181.5385 | 11800 | 0.8749 |
|
| 168 |
-
| 0.8881 | 183.0769 | 11900 | 0.8743 |
|
| 169 |
-
| 0.8844 | 184.6154 | 12000 | 0.8717 |
|
| 170 |
-
| 0.8789 | 186.1538 | 12100 | 0.8551 |
|
| 171 |
-
| 0.873 | 187.6923 | 12200 | 0.8599 |
|
| 172 |
-
| 0.8647 | 189.2308 | 12300 | 0.8566 |
|
| 173 |
-
| 0.861 | 190.7692 | 12400 | 0.8457 |
|
| 174 |
-
| 0.861 | 192.3077 | 12500 | 0.8435 |
|
| 175 |
-
| 0.8609 | 193.8462 | 12600 | 0.8392 |
|
| 176 |
-
| 0.8581 | 195.3846 | 12700 | 0.8539 |
|
| 177 |
-
| 0.8608 | 196.9231 | 12800 | 0.8345 |
|
| 178 |
-
| 0.8439 | 198.4615 | 12900 | 0.8455 |
|
| 179 |
-
| 0.8467 | 200.0 | 13000 | 0.8218 |
|
| 180 |
-
| 0.8365 | 201.5385 | 13100 | 0.8170 |
|
| 181 |
-
| 0.8435 | 203.0769 | 13200 | 0.8254 |
|
| 182 |
-
| 0.8334 | 204.6154 | 13300 | 0.8237 |
|
| 183 |
-
| 0.8289 | 206.1538 | 13400 | 0.8124 |
|
| 184 |
-
| 0.825 | 207.6923 | 13500 | 0.8114 |
|
| 185 |
-
| 0.8257 | 209.2308 | 13600 | 0.8207 |
|
| 186 |
-
| 0.8232 | 210.7692 | 13700 | 0.8101 |
|
| 187 |
-
| 0.8136 | 212.3077 | 13800 | 0.8038 |
|
| 188 |
-
| 0.8101 | 213.8462 | 13900 | 0.7883 |
|
| 189 |
-
| 0.8103 | 215.3846 | 14000 | 0.8154 |
|
| 190 |
-
| 0.8094 | 216.9231 | 14100 | 0.8136 |
|
| 191 |
-
| 0.8046 | 218.4615 | 14200 | 0.8022 |
|
| 192 |
-
| 0.7982 | 220.0 | 14300 | 0.7850 |
|
| 193 |
-
| 0.7964 | 221.5385 | 14400 | 0.7885 |
|
| 194 |
-
| 0.7908 | 223.0769 | 14500 | 0.7828 |
|
| 195 |
-
| 0.7903 | 224.6154 | 14600 | 0.7993 |
|
| 196 |
-
| 0.7843 | 226.1538 | 14700 | 0.7816 |
|
| 197 |
-
| 0.7838 | 227.6923 | 14800 | 0.7872 |
|
| 198 |
-
| 0.7744 | 229.2308 | 14900 | 0.7867 |
|
| 199 |
-
| 0.7801 | 230.7692 | 15000 | 0.7815 |
|
| 200 |
-
| 0.7778 | 232.3077 | 15100 | 0.7670 |
|
| 201 |
-
| 0.7703 | 233.8462 | 15200 | 0.7681 |
|
| 202 |
-
| 0.7666 | 235.3846 | 15300 | 0.7521 |
|
| 203 |
-
| 0.7734 | 236.9231 | 15400 | 0.7673 |
|
| 204 |
-
| 0.7636 | 238.4615 | 15500 | 0.7399 |
|
| 205 |
-
| 0.7598 | 240.0 | 15600 | 0.7542 |
|
| 206 |
-
| 0.7565 | 241.5385 | 15700 | 0.7613 |
|
| 207 |
-
| 0.7498 | 243.0769 | 15800 | 0.7659 |
|
| 208 |
-
| 0.7476 | 244.6154 | 15900 | 0.7528 |
|
| 209 |
-
| 0.7447 | 246.1538 | 16000 | 0.7601 |
|
| 210 |
-
| 0.7457 | 247.6923 | 16100 | 0.7525 |
|
| 211 |
-
| 0.742 | 249.2308 | 16200 | 0.7393 |
|
| 212 |
-
| 0.7437 | 250.7692 | 16300 | 0.7475 |
|
| 213 |
-
| 0.7337 | 252.3077 | 16400 | 0.7339 |
|
| 214 |
-
| 0.7343 | 253.8462 | 16500 | 0.7410 |
|
| 215 |
-
| 0.7288 | 255.3846 | 16600 | 0.7453 |
|
| 216 |
-
| 0.7317 | 256.9231 | 16700 | 0.7389 |
|
| 217 |
-
| 0.7317 | 258.4615 | 16800 | 0.7139 |
|
| 218 |
-
| 0.7279 | 260.0 | 16900 | 0.7321 |
|
| 219 |
-
| 0.722 | 261.5385 | 17000 | 0.7334 |
|
| 220 |
-
| 0.7222 | 263.0769 | 17100 | 0.7276 |
|
| 221 |
-
| 0.7158 | 264.6154 | 17200 | 0.7125 |
|
| 222 |
-
| 0.7139 | 266.1538 | 17300 | 0.7207 |
|
| 223 |
-
| 0.7098 | 267.6923 | 17400 | 0.7147 |
|
| 224 |
-
| 0.7146 | 269.2308 | 17500 | 0.7124 |
|
| 225 |
-
| 0.709 | 270.7692 | 17600 | 0.7079 |
|
| 226 |
-
| 0.7001 | 272.3077 | 17700 | 0.7132 |
|
| 227 |
-
| 0.708 | 273.8462 | 17800 | 0.7249 |
|
| 228 |
-
| 0.7038 | 275.3846 | 17900 | 0.7088 |
|
| 229 |
-
| 0.6955 | 276.9231 | 18000 | 0.7163 |
|
| 230 |
-
| 0.7016 | 278.4615 | 18100 | 0.7112 |
|
| 231 |
-
| 0.6931 | 280.0 | 18200 | 0.6875 |
|
| 232 |
-
| 0.6959 | 281.5385 | 18300 | 0.6892 |
|
| 233 |
-
| 0.6946 | 283.0769 | 18400 | 0.6945 |
|
| 234 |
-
| 0.6904 | 284.6154 | 18500 | 0.6970 |
|
| 235 |
-
| 0.6872 | 286.1538 | 18600 | 0.7030 |
|
| 236 |
-
| 0.6925 | 287.6923 | 18700 | 0.7118 |
|
| 237 |
-
| 0.6848 | 289.2308 | 18800 | 0.6986 |
|
| 238 |
-
| 0.6796 | 290.7692 | 18900 | 0.6994 |
|
| 239 |
-
| 0.6821 | 292.3077 | 19000 | 0.6834 |
|
| 240 |
-
| 0.6763 | 293.8462 | 19100 | 0.7022 |
|
| 241 |
-
| 0.6741 | 295.3846 | 19200 | 0.7019 |
|
| 242 |
-
| 0.6723 | 296.9231 | 19300 | 0.7042 |
|
| 243 |
-
| 0.6724 | 298.4615 | 19400 | 0.6991 |
|
| 244 |
-
| 0.6735 | 300.0 | 19500 | 0.6952 |
|
| 245 |
-
| 0.6693 | 301.5385 | 19600 | 0.6833 |
|
| 246 |
-
| 0.6666 | 303.0769 | 19700 | 0.6976 |
|
| 247 |
-
| 0.6637 | 304.6154 | 19800 | 0.6659 |
|
| 248 |
-
| 0.6641 | 306.1538 | 19900 | 0.6742 |
|
| 249 |
-
| 0.6653 | 307.6923 | 20000 | 0.6942 |
|
| 250 |
-
| 0.661 | 309.2308 | 20100 | 0.6820 |
|
| 251 |
-
| 0.6607 | 310.7692 | 20200 | 0.6888 |
|
| 252 |
-
| 0.6565 | 312.3077 | 20300 | 0.6740 |
|
| 253 |
-
| 0.6548 | 313.8462 | 20400 | 0.6540 |
|
| 254 |
-
| 0.658 | 315.3846 | 20500 | 0.6790 |
|
| 255 |
-
| 0.6509 | 316.9231 | 20600 | 0.6719 |
|
| 256 |
-
| 0.6491 | 318.4615 | 20700 | 0.6671 |
|
| 257 |
-
| 0.6438 | 320.0 | 20800 | 0.6709 |
|
| 258 |
-
| 0.6442 | 321.5385 | 20900 | 0.6751 |
|
| 259 |
-
| 0.6445 | 323.0769 | 21000 | 0.6498 |
|
| 260 |
-
| 0.6477 | 324.6154 | 21100 | 0.6621 |
|
| 261 |
-
| 0.6458 | 326.1538 | 21200 | 0.6503 |
|
| 262 |
-
| 0.6354 | 327.6923 | 21300 | 0.6694 |
|
| 263 |
-
| 0.6417 | 329.2308 | 21400 | 0.6531 |
|
| 264 |
-
| 0.6402 | 330.7692 | 21500 | 0.6483 |
|
| 265 |
-
| 0.6375 | 332.3077 | 21600 | 0.6528 |
|
| 266 |
-
| 0.6366 | 333.8462 | 21700 | 0.6583 |
|
| 267 |
-
| 0.6271 | 335.3846 | 21800 | 0.6398 |
|
| 268 |
-
| 0.64 | 336.9231 | 21900 | 0.6522 |
|
| 269 |
-
| 0.6241 | 338.4615 | 22000 | 0.6477 |
|
| 270 |
-
| 0.6277 | 340.0 | 22100 | 0.6437 |
|
| 271 |
-
| 0.6271 | 341.5385 | 22200 | 0.6310 |
|
| 272 |
-
| 0.6303 | 343.0769 | 22300 | 0.6377 |
|
| 273 |
-
| 0.625 | 344.6154 | 22400 | 0.6276 |
|
| 274 |
-
| 0.6229 | 346.1538 | 22500 | 0.6371 |
|
| 275 |
-
| 0.6215 | 347.6923 | 22600 | 0.6336 |
|
| 276 |
-
| 0.6224 | 349.2308 | 22700 | 0.6406 |
|
| 277 |
-
| 0.6234 | 350.7692 | 22800 | 0.6338 |
|
| 278 |
-
| 0.6239 | 352.3077 | 22900 | 0.6255 |
|
| 279 |
-
| 0.6182 | 353.8462 | 23000 | 0.6374 |
|
| 280 |
-
| 0.6186 | 355.3846 | 23100 | 0.6470 |
|
| 281 |
-
| 0.6148 | 356.9231 | 23200 | 0.6366 |
|
| 282 |
-
| 0.6051 | 358.4615 | 23300 | 0.6359 |
|
| 283 |
-
| 0.6093 | 360.0 | 23400 | 0.6462 |
|
| 284 |
-
| 0.6115 | 361.5385 | 23500 | 0.6270 |
|
| 285 |
-
| 0.6098 | 363.0769 | 23600 | 0.6064 |
|
| 286 |
-
| 0.6174 | 364.6154 | 23700 | 0.6314 |
|
| 287 |
-
| 0.6012 | 366.1538 | 23800 | 0.6352 |
|
| 288 |
-
| 0.6091 | 367.6923 | 23900 | 0.6266 |
|
| 289 |
-
| 0.6058 | 369.2308 | 24000 | 0.6359 |
|
| 290 |
-
| 0.612 | 370.7692 | 24100 | 0.6283 |
|
| 291 |
-
| 0.6126 | 372.3077 | 24200 | 0.6280 |
|
| 292 |
-
| 0.6075 | 373.8462 | 24300 | 0.6117 |
|
| 293 |
-
| 0.6053 | 375.3846 | 24400 | 0.6152 |
|
| 294 |
-
| 0.6 | 376.9231 | 24500 | 0.6267 |
|
| 295 |
-
| 0.6045 | 378.4615 | 24600 | 0.6252 |
|
| 296 |
|
| 297 |
|
| 298 |
### Framework versions
|
|
|
|
| 15 |
|
| 16 |
This model is a fine-tuned version of [adalbertojunior/distilbert-portuguese-cased](https://huggingface.co/adalbertojunior/distilbert-portuguese-cased) on the None dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
+
- Loss: 1.3316
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
|
|
| 45 |
|
| 46 |
### Training results
|
| 47 |
|
| 48 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 49 |
+
|:-------------:|:-------:|:----:|:---------------:|
|
| 50 |
+
| 6.8051 | 1.5385 | 100 | 5.4555 |
|
| 51 |
+
| 5.0899 | 3.0769 | 200 | 4.5164 |
|
| 52 |
+
| 4.3939 | 4.6154 | 300 | 3.9739 |
|
| 53 |
+
| 3.948 | 6.1538 | 400 | 3.6053 |
|
| 54 |
+
| 3.6364 | 7.6923 | 500 | 3.3412 |
|
| 55 |
+
| 3.391 | 9.2308 | 600 | 3.1273 |
|
| 56 |
+
| 3.2013 | 10.7692 | 700 | 2.9847 |
|
| 57 |
+
| 3.0531 | 12.3077 | 800 | 2.7862 |
|
| 58 |
+
| 2.9261 | 13.8462 | 900 | 2.7109 |
|
| 59 |
+
| 2.8132 | 15.3846 | 1000 | 2.5933 |
|
| 60 |
+
| 2.698 | 16.9231 | 1100 | 2.5080 |
|
| 61 |
+
| 2.614 | 18.4615 | 1200 | 2.4453 |
|
| 62 |
+
| 2.5423 | 20.0 | 1300 | 2.3267 |
|
| 63 |
+
| 2.4675 | 21.5385 | 1400 | 2.2761 |
|
| 64 |
+
| 2.4105 | 23.0769 | 1500 | 2.2385 |
|
| 65 |
+
| 2.3405 | 24.6154 | 1600 | 2.1717 |
|
| 66 |
+
| 2.2862 | 26.1538 | 1700 | 2.1134 |
|
| 67 |
+
| 2.2324 | 27.6923 | 1800 | 2.0816 |
|
| 68 |
+
| 2.1954 | 29.2308 | 1900 | 2.0319 |
|
| 69 |
+
| 2.145 | 30.7692 | 2000 | 1.9917 |
|
| 70 |
+
| 2.1001 | 32.3077 | 2100 | 1.9738 |
|
| 71 |
+
| 2.0688 | 33.8462 | 2200 | 1.9215 |
|
| 72 |
+
| 2.024 | 35.3846 | 2300 | 1.8910 |
|
| 73 |
+
| 1.99 | 36.9231 | 2400 | 1.8697 |
|
| 74 |
+
| 1.9524 | 38.4615 | 2500 | 1.8273 |
|
| 75 |
+
| 1.9288 | 40.0 | 2600 | 1.7972 |
|
| 76 |
+
| 1.8957 | 41.5385 | 2700 | 1.7696 |
|
| 77 |
+
| 1.8713 | 43.0769 | 2800 | 1.7486 |
|
| 78 |
+
| 1.8427 | 44.6154 | 2900 | 1.7461 |
|
| 79 |
+
| 1.8155 | 46.1538 | 3000 | 1.6993 |
|
| 80 |
+
| 1.7914 | 47.6923 | 3100 | 1.6781 |
|
| 81 |
+
| 1.766 | 49.2308 | 3200 | 1.6483 |
|
| 82 |
+
| 1.738 | 50.7692 | 3300 | 1.6227 |
|
| 83 |
+
| 1.7167 | 52.3077 | 3400 | 1.5883 |
|
| 84 |
+
| 1.6781 | 53.8462 | 3500 | 1.5695 |
|
| 85 |
+
| 1.658 | 55.3846 | 3600 | 1.5469 |
|
| 86 |
+
| 1.6276 | 56.9231 | 3700 | 1.5451 |
|
| 87 |
+
| 1.6131 | 58.4615 | 3800 | 1.5046 |
|
| 88 |
+
| 1.5916 | 60.0 | 3900 | 1.4997 |
|
| 89 |
+
| 1.5746 | 61.5385 | 4000 | 1.4709 |
|
| 90 |
+
| 1.5638 | 63.0769 | 4100 | 1.4615 |
|
| 91 |
+
| 1.5395 | 64.6154 | 4200 | 1.4542 |
|
| 92 |
+
| 1.5291 | 66.1538 | 4300 | 1.4323 |
|
| 93 |
+
| 1.5115 | 67.6923 | 4400 | 1.4036 |
|
| 94 |
+
| 1.4885 | 69.2308 | 4500 | 1.3822 |
|
| 95 |
+
| 1.4706 | 70.7692 | 4600 | 1.3732 |
|
| 96 |
+
| 1.4611 | 72.3077 | 4700 | 1.3625 |
|
| 97 |
+
| 1.4393 | 73.8462 | 4800 | 1.3662 |
|
| 98 |
+
| 1.4321 | 75.3846 | 4900 | 1.3556 |
|
| 99 |
+
| 1.4108 | 76.9231 | 5000 | 1.3566 |
|
| 100 |
+
| 1.4054 | 78.4615 | 5100 | 1.2953 |
|
| 101 |
+
| 1.3863 | 80.0 | 5200 | 1.3333 |
|
| 102 |
+
| 1.3674 | 81.5385 | 5300 | 1.3210 |
|
| 103 |
+
| 1.3578 | 83.0769 | 5400 | 1.3029 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 104 |
|
| 105 |
|
| 106 |
### Framework versions
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 265721304
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3003b9f0ef33ba8fb1f25e25fd39af65c5b57d5e7f1f193fbd1261a968f70479
|
| 3 |
size 265721304
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5240
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6bec2265ab9ae8b62c00c6f580115e0773708091c98d996e7c77d2eeba90febb
|
| 3 |
size 5240
|