--- tags: - generated_from_keras_callback model-index: - name: pretrained-m-bert-400 results: [] --- # pretrained-m-bert-400 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: nan - Validation Loss: nan - Epoch: 399 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - optimizer: {'name': 'Adam', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 10.2737 | 10.9284 | 0 | | 7.7909 | 10.9299 | 1 | | 6.9555 | 11.4698 | 2 | | 6.4835 | 11.5760 | 3 | | 6.3613 | 11.4740 | 4 | | 6.3206 | 12.1134 | 5 | | 6.5777 | 11.8247 | 6 | | 6.0680 | 12.1764 | 7 | | 5.9353 | 12.1038 | 8 | | 6.0701 | 12.0687 | 9 | | 6.0047 | 12.4985 | 10 | | 5.9272 | 12.8107 | 11 | | 5.9446 | 12.5006 | 12 | | 5.9716 | 12.8384 | 13 | | 6.0548 | 12.3585 | 14 | | 5.8666 | 12.5273 | 15 | | 5.8951 | 12.8032 | 16 | | 5.9528 | 13.0296 | 17 | | 5.8313 | 12.9472 | 18 | | 5.8324 | 13.0546 | 19 | | 5.8763 | 13.1180 | 20 | | 5.7623 | 13.2588 | 21 | | 5.8636 | 13.2705 | 22 | | 5.8864 | 13.1756 | 23 | | 5.7413 | 13.0413 | 24 | | 5.6825 | 13.2796 | 25 | | 5.8705 | 13.5748 | 26 | | 5.7772 | 14.0853 | 27 | | 5.8029 | 13.5957 | 28 | | 5.9590 | 13.0809 | 29 | | 5.8240 | 13.0912 | 30 | | 5.7687 | 13.5828 | 31 | | 5.9836 | 13.5432 | 32 | | 5.6915 | 13.7082 | 33 | | 5.7853 | 13.6080 | 34 | | 5.7760 | 13.3992 | 35 | | 5.7134 | 13.6552 | 36 | | 5.8415 | 13.5479 | 37 | | 5.8087 | 13.6847 | 38 | | 5.8611 | 13.6231 | 39 | | 5.6492 | 13.8722 | 40 | | 5.7846 | 13.7056 | 41 | | 5.7455 | 14.1208 | 42 | | 5.7129 | 13.7774 | 43 | | 5.7185 | 14.0725 | 44 | | 5.6655 | 14.0980 | 45 | | 5.6734 | 14.0126 | 46 | | 5.6658 | 14.1982 | 47 | | 5.6720 | 14.0881 | 48 | | 5.8220 | 14.0841 | 49 | | 5.8567 | 14.0512 | 50 | | 5.6811 | 14.4002 | 51 | | 5.7271 | 14.1651 | 52 | | 5.7329 | 13.8948 | 53 | | 5.9306 | 14.1744 | 54 | | 5.6757 | 13.6761 | 55 | | 5.8785 | 14.1815 | 56 | | 5.7267 | 14.4592 | 57 | | 5.7313 | 14.1220 | 58 | | 5.7537 | 14.3197 | 59 | | 5.7907 | 13.9449 | 60 | | 5.6611 | 14.0992 | 61 | | 5.7009 | 14.4630 | 62 | | 5.6760 | 14.3946 | 63 | | 5.7096 | 14.2776 | 64 | | 5.7778 | 14.3569 | 65 | | 5.7223 | 14.5246 | 66 | | 5.7954 | 14.2003 | 67 | | 5.9369 | 14.3692 | 68 | | 5.8792 | 14.5358 | 69 | | 5.7172 | 14.3076 | 70 | | 5.6608 | 14.1833 | 71 | | 5.8710 | 14.1070 | 72 | | 5.6896 | 13.9720 | 73 | | 5.7404 | 14.8816 | 74 | | 5.8649 | 14.1338 | 75 | | 5.8223 | 14.4951 | 76 | | 5.7701 | 14.4468 | 77 | | 5.7852 | 14.3300 | 78 | | 5.7038 | 14.0439 | 79 | | 5.7386 | 14.3995 | 80 | | 5.7594 | 14.1541 | 81 | | 5.7688 | 14.3452 | 82 | | 5.6329 | 14.9077 | 83 | | 5.8224 | 14.5802 | 84 | | 5.7969 | 14.8311 | 85 | | 5.8297 | 14.5400 | 86 | | 5.6488 | 15.0369 | 87 | | 5.8020 | 14.7833 | 88 | | 5.7345 | 14.3675 | 89 | | 5.7530 | 14.1602 | 90 | | 5.7599 | 15.2734 | 91 | | 5.7256 | 14.9461 | 92 | | 5.6803 | 14.8461 | 93 | | 5.8602 | 14.5303 | 94 | | 5.6319 | 14.8087 | 95 | | 5.7581 | 14.7901 | 96 | | 5.6319 | 14.8252 | 97 | | 5.6869 | 14.8271 | 98 | | 5.7664 | 15.2408 | 99 | | 5.7731 | 15.0161 | 100 | | 5.7304 | 15.4610 | 101 | | 5.8412 | 14.8069 | 102 | | 5.7723 | 14.1676 | 103 | | 5.6118 | 15.4048 | 104 | | 5.7734 | 15.1165 | 105 | | 5.8253 | 14.9264 | 106 | | 5.8027 | 14.7596 | 107 | | 5.7457 | 15.1671 | 108 | | 5.7381 | 15.2209 | 109 | | 5.8087 | 14.7408 | 110 | | 5.8030 | 15.2581 | 111 | | 5.8320 | 14.9718 | 112 | | 5.6863 | 15.2960 | 113 | | 5.8710 | 14.7119 | 114 | | 5.7232 | 15.0268 | 115 | | 5.8191 | 14.8410 | 116 | | 5.6752 | 15.1243 | 117 | | 5.8462 | 15.0258 | 118 | | 5.6872 | 15.1223 | 119 | | 5.7252 | 14.9306 | 120 | | 5.8288 | 15.0880 | 121 | | 5.7154 | 15.1128 | 122 | | 5.7731 | 15.4266 | 123 | | 5.7265 | 14.9659 | 124 | | 5.6335 | 15.1716 | 125 | | 5.7175 | 15.6793 | 126 | | 5.7104 | 15.4801 | 127 | | 5.6567 | 15.0955 | 128 | | 5.9180 | 15.0188 | 129 | | 5.5288 | 15.3623 | 130 | | 5.7597 | 15.4404 | 131 | | 5.8730 | 15.1977 | 132 | | 5.7699 | 15.5542 | 133 | | 5.6693 | 15.1629 | 134 | | 5.7615 | 15.1227 | 135 | | 5.7240 | 15.4303 | 136 | | 5.7303 | 15.1579 | 137 | | 5.7373 | 15.2233 | 138 | | 5.8327 | 14.7246 | 139 | | 5.6575 | 15.5657 | 140 | | 5.6499 | 15.1918 | 141 | | 5.7592 | 14.9380 | 142 | | 5.7694 | 15.3017 | 143 | | 5.7230 | 15.3452 | 144 | | 5.8646 | 14.7439 | 145 | | 5.7644 | 15.3110 | 146 | | 5.7203 | 15.8015 | 147 | | 5.6472 | 15.6682 | 148 | | 5.8608 | 15.1659 | 149 | | 5.7988 | 15.8322 | 150 | | 5.8471 | 15.3636 | 151 | | 5.7727 | 15.7957 | 152 | | 5.6508 | 15.1050 | 153 | | 5.7816 | 15.3157 | 154 | | 5.8210 | 15.6138 | 155 | | 5.7539 | 15.1308 | 156 | | 5.7941 | 15.3775 | 157 | | 5.6000 | 15.4838 | 158 | | 5.7631 | 15.5708 | 159 | | 5.7086 | 15.5326 | 160 | | 5.7873 | 15.4520 | 161 | | 5.7033 | 15.1639 | 162 | | 5.8096 | 14.9752 | 163 | | 5.7741 | 15.1489 | 164 | | 5.6837 | 15.8508 | 165 | | 5.6194 | 15.6911 | 166 | | 5.8802 | 15.8204 | 167 | | 5.7230 | 15.3510 | 168 | | 5.7498 | 15.5641 | 169 | | 5.6593 | 16.0866 | 170 | | 5.7106 | 15.6393 | 171 | | 5.7150 | 15.7347 | 172 | | 5.8900 | 15.1096 | 173 | | 5.6876 | 16.0257 | 174 | | 5.7460 | 15.7940 | 175 | | 5.6921 | 15.4479 | 176 | | 5.7380 | 15.8687 | 177 | | 5.6652 | 15.7234 | 178 | | 5.7337 | 15.9722 | 179 | | 5.7107 | 15.6004 | 180 | | 5.6688 | 15.9564 | 181 | | 5.7698 | 15.4953 | 182 | | 5.6752 | 15.4695 | 183 | | 5.7951 | 15.3870 | 184 | | 5.6820 | 15.3892 | 185 | | 5.7012 | 15.3069 | 186 | | 5.8445 | 15.4246 | 187 | | 5.7400 | 15.7290 | 188 | | 5.7490 | 15.6652 | 189 | | 5.7101 | 15.9525 | 190 | | 5.8126 | 15.2409 | 191 | | 5.7394 | 15.6082 | 192 | | 5.6442 | 15.7932 | 193 | | 5.7402 | 15.1385 | 194 | | 5.7884 | 15.4226 | 195 | | 5.5444 | 16.1383 | 196 | | 5.7094 | 15.8144 | 197 | | 5.6645 | 16.0524 | 198 | | 5.6880 | 15.7864 | 199 | | 5.7136 | 15.5176 | 200 | | 5.6637 | 15.2914 | 201 | | 5.6428 | 16.0657 | 202 | | 5.7652 | 16.0983 | 203 | | 5.7069 | 16.2021 | 204 | | 5.7251 | 15.6593 | 205 | | 5.7546 | 15.5634 | 206 | | 5.6854 | 16.0332 | 207 | | 5.7590 | 15.9248 | 208 | | 5.7916 | 15.4682 | 209 | | 5.7794 | 16.1797 | 210 | | 5.6640 | 15.8133 | 211 | | 5.5957 | 15.9253 | 212 | | 5.8607 | 16.3813 | 213 | | 5.7572 | 16.1253 | 214 | | 5.7549 | 16.0874 | 215 | | 5.6915 | 16.3464 | 216 | | 5.6458 | 16.7042 | 217 | | 5.6706 | 15.7191 | 218 | | 5.7297 | 16.0799 | 219 | | 5.6525 | 15.7766 | 220 | | 5.6576 | 16.2920 | 221 | | 5.6630 | 15.7460 | 222 | | 5.7052 | 16.1921 | 223 | | 5.7096 | 15.9475 | 224 | | 5.8168 | 15.6872 | 225 | | 5.7823 | 16.1230 | 226 | | 5.7059 | 15.8028 | 227 | | 5.7665 | 16.0063 | 228 | | 5.7908 | 16.2456 | 229 | | 5.7071 | 16.0749 | 230 | | 5.7506 | 16.0597 | 231 | | 5.6364 | 16.1518 | 232 | | 5.7050 | 16.2710 | 233 | | 5.7266 | 16.2172 | 234 | | 5.7804 | 15.8192 | 235 | | 5.7076 | 16.1186 | 236 | | 5.6965 | 16.1123 | 237 | | 5.7385 | 15.7495 | 238 | | 5.7877 | 16.0528 | 239 | | 5.5933 | 16.1774 | 240 | | 5.6745 | 16.5711 | 241 | | 5.6913 | 16.3114 | 242 | | 5.7292 | 16.3525 | 243 | | 5.7804 | 15.9284 | 244 | | 5.6428 | 16.1581 | 245 | | 5.6294 | 16.0005 | 246 | | 5.7076 | 16.2986 | 247 | | 5.7254 | 16.1134 | 248 | | 5.7657 | 16.3133 | 249 | | 5.7027 | 15.9364 | 250 | | 5.6698 | 16.6521 | 251 | | 5.6628 | 15.7597 | 252 | | 5.6293 | 16.2164 | 253 | | 5.6199 | 15.8001 | 254 | | 5.6581 | 16.0590 | 255 | | 5.6714 | 16.0894 | 256 | | 5.7542 | 16.1121 | 257 | | 5.7222 | 16.1358 | 258 | | 5.8194 | 15.9213 | 259 | | 5.6567 | 16.0372 | 260 | | 5.6751 | 16.3755 | 261 | | 5.6469 | 16.0893 | 262 | | 5.6717 | 16.1122 | 263 | | 5.7958 | 15.8767 | 264 | | 5.8171 | 16.2429 | 265 | | 5.7119 | 16.2250 | 266 | | 5.7855 | 16.4065 | 267 | | 5.7949 | 15.4456 | 268 | | 5.7782 | 16.4003 | 269 | | 5.7497 | 15.8927 | 270 | | 5.6609 | 16.3852 | 271 | | 5.8071 | 16.3739 | 272 | | 5.7726 | 15.9497 | 273 | | 5.6874 | 16.0825 | 274 | | 5.7265 | 15.9471 | 275 | | 5.8261 | 15.9685 | 276 | | 5.6508 | 16.3370 | 277 | | 5.6734 | 16.3040 | 278 | | 5.6986 | 16.2803 | 279 | | 5.7025 | 16.6162 | 280 | | 5.7346 | 16.1483 | 281 | | 5.6689 | 16.1718 | 282 | | 5.6913 | 16.0822 | 283 | | 5.7541 | 15.5025 | 284 | | 5.7325 | 16.2702 | 285 | | 5.8124 | 15.7343 | 286 | | 5.6972 | 16.3263 | 287 | | 5.7388 | 16.2631 | 288 | | 5.7337 | 16.1185 | 289 | | 5.5873 | 16.2938 | 290 | | 5.6859 | 16.2026 | 291 | | 5.8711 | 15.2906 | 292 | | 5.6716 | 15.5945 | 293 | | 5.7098 | 16.1930 | 294 | | 5.6214 | 16.2915 | 295 | | 5.7025 | 16.1317 | 296 | | 5.6574 | 16.6203 | 297 | | 5.7909 | 16.1098 | 298 | | 5.8298 | 15.5068 | 299 | | 5.7457 | 16.4390 | 300 | | 5.6674 | 16.1994 | 301 | | 5.6473 | 16.4981 | 302 | | 5.7486 | 16.0311 | 303 | | 5.5914 | 16.8805 | 304 | | 5.7065 | 15.6899 | 305 | | 5.7049 | 16.4121 | 306 | | 5.7791 | 16.5573 | 307 | | 5.7422 | 16.4121 | 308 | | 5.6493 | 15.8135 | 309 | | 5.7504 | 16.1579 | 310 | | 5.7983 | 15.7995 | 311 | | 5.6670 | 15.7541 | 312 | | 5.6519 | 15.8321 | 313 | | 5.7987 | 16.1384 | 314 | | 5.8223 | 16.2025 | 315 | | 5.7494 | 16.2737 | 316 | | 5.7390 | 16.2242 | 317 | | 5.7607 | 16.4318 | 318 | | 5.6872 | 16.4799 | 319 | | 5.7474 | 16.3387 | 320 | | 5.8631 | 16.0204 | 321 | | 5.7391 | 15.9252 | 322 | | 5.6785 | 17.0023 | 323 | | 5.6791 | 16.0897 | 324 | | 5.7644 | 16.0529 | 325 | | 5.7013 | 16.6206 | 326 | | 5.8280 | 16.4234 | 327 | | 5.6553 | 16.4436 | 328 | | 5.6920 | nan | 329 | | 5.7356 | 16.2001 | 330 | | 5.7204 | 16.1120 | 331 | | 5.5542 | 16.2315 | 332 | | 5.7303 | 16.2902 | 333 | | 5.6750 | 16.3221 | 334 | | 5.6405 | 16.5904 | 335 | | 5.8191 | 16.0871 | 336 | | 5.7464 | 15.8915 | 337 | | 5.7566 | 16.6865 | 338 | | 5.7168 | 16.0537 | 339 | | 5.6113 | 16.5037 | 340 | | 5.6066 | 15.8096 | 341 | | 5.6343 | 16.5955 | 342 | | nan | nan | 343 | | nan | nan | 344 | | nan | nan | 345 | | nan | nan | 346 | | nan | nan | 347 | | nan | nan | 348 | | nan | nan | 349 | | nan | nan | 350 | | nan | nan | 351 | | nan | nan | 352 | | nan | nan | 353 | | nan | nan | 354 | | nan | nan | 355 | | nan | nan | 356 | | nan | nan | 357 | | nan | nan | 358 | | nan | nan | 359 | | nan | nan | 360 | | nan | nan | 361 | | nan | nan | 362 | | nan | nan | 363 | | nan | nan | 364 | | nan | nan | 365 | | nan | nan | 366 | | nan | nan | 367 | | nan | nan | 368 | | nan | nan | 369 | | nan | nan | 370 | | nan | nan | 371 | | nan | nan | 372 | | nan | nan | 373 | | nan | nan | 374 | | nan | nan | 375 | | nan | nan | 376 | | nan | nan | 377 | | nan | nan | 378 | | nan | nan | 379 | | nan | nan | 380 | | nan | nan | 381 | | nan | nan | 382 | | nan | nan | 383 | | nan | nan | 384 | | nan | nan | 385 | | nan | nan | 386 | | nan | nan | 387 | | nan | nan | 388 | | nan | nan | 389 | | nan | nan | 390 | | nan | nan | 391 | | nan | nan | 392 | | nan | nan | 393 | | nan | nan | 394 | | nan | nan | 395 | | nan | nan | 396 | | nan | nan | 397 | | nan | nan | 398 | | nan | nan | 399 | ### Framework versions - Transformers 4.27.0.dev0 - TensorFlow 2.9.2 - Datasets 2.9.0 - Tokenizers 0.13.2