--- license: apache-2.0 base_model: t5-small tags: - generated_from_keras_callback model-index: - name: pijarcandra22/NMTIndoBaliT5 results: [] --- # pijarcandra22/NMTIndoBaliT5 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.0691 - Validation Loss: 2.4684 - Epoch: 352 ## 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': 'AdamWeightDecay', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 3.2881 | 2.6852 | 0 | | 2.7514 | 2.4004 | 1 | | 2.5012 | 2.2171 | 2 | | 2.3252 | 2.0959 | 3 | | 2.1930 | 1.9901 | 4 | | 2.0837 | 1.9130 | 5 | | 1.9912 | 1.8452 | 6 | | 1.9107 | 1.7974 | 7 | | 1.8459 | 1.7521 | 8 | | 1.7902 | 1.7165 | 9 | | 1.7321 | 1.6842 | 10 | | 1.6811 | 1.6400 | 11 | | 1.6374 | 1.6230 | 12 | | 1.5973 | 1.5960 | 13 | | 1.5588 | 1.5765 | 14 | | 1.5244 | 1.5589 | 15 | | 1.4933 | 1.5370 | 16 | | 1.4588 | 1.5300 | 17 | | 1.4325 | 1.5107 | 18 | | 1.4054 | 1.4970 | 19 | | 1.3730 | 1.4839 | 20 | | 1.3475 | 1.4789 | 21 | | 1.3231 | 1.4616 | 22 | | 1.3035 | 1.4568 | 23 | | 1.2768 | 1.4489 | 24 | | 1.2587 | 1.4396 | 25 | | 1.2380 | 1.4364 | 26 | | 1.2208 | 1.4273 | 27 | | 1.2026 | 1.4228 | 28 | | 1.1755 | 1.4141 | 29 | | 1.1614 | 1.4062 | 30 | | 1.1460 | 1.4060 | 31 | | 1.1289 | 1.3934 | 32 | | 1.1134 | 1.4007 | 33 | | 1.0965 | 1.3927 | 34 | | 1.0818 | 1.3874 | 35 | | 1.0661 | 1.3921 | 36 | | 1.0482 | 1.3795 | 37 | | 1.0345 | 1.3853 | 38 | | 1.0195 | 1.3835 | 39 | | 1.0074 | 1.3772 | 40 | | 0.9890 | 1.3851 | 41 | | 0.9833 | 1.3724 | 42 | | 0.9667 | 1.3740 | 43 | | 0.9561 | 1.3752 | 44 | | 0.9429 | 1.3673 | 45 | | 0.9301 | 1.3828 | 46 | | 0.9141 | 1.3806 | 47 | | 0.9050 | 1.3772 | 48 | | 0.8952 | 1.3812 | 49 | | 0.8809 | 1.3718 | 50 | | 0.8725 | 1.3825 | 51 | | 0.8601 | 1.3842 | 52 | | 0.8488 | 1.3827 | 53 | | 0.8375 | 1.3920 | 54 | | 0.8257 | 1.3936 | 55 | | 0.8184 | 1.3842 | 56 | | 0.8081 | 1.3846 | 57 | | 0.7986 | 1.3860 | 58 | | 0.7883 | 1.3943 | 59 | | 0.7787 | 1.4004 | 60 | | 0.7666 | 1.4071 | 61 | | 0.7554 | 1.4079 | 62 | | 0.7470 | 1.4038 | 63 | | 0.7366 | 1.4141 | 64 | | 0.7279 | 1.4135 | 65 | | 0.7250 | 1.4111 | 66 | | 0.7128 | 1.4196 | 67 | | 0.7042 | 1.4182 | 68 | | 0.6946 | 1.4378 | 69 | | 0.6851 | 1.4350 | 70 | | 0.6764 | 1.4403 | 71 | | 0.6695 | 1.4474 | 72 | | 0.6606 | 1.4454 | 73 | | 0.6565 | 1.4516 | 74 | | 0.6450 | 1.4595 | 75 | | 0.6347 | 1.4700 | 76 | | 0.6287 | 1.4746 | 77 | | 0.6183 | 1.4813 | 78 | | 0.6143 | 1.4785 | 79 | | 0.6053 | 1.4848 | 80 | | 0.5994 | 1.4777 | 81 | | 0.5903 | 1.4962 | 82 | | 0.5828 | 1.5102 | 83 | | 0.5760 | 1.4957 | 84 | | 0.5696 | 1.5121 | 85 | | 0.5637 | 1.5168 | 86 | | 0.5578 | 1.5183 | 87 | | 0.5499 | 1.5184 | 88 | | 0.5396 | 1.5433 | 89 | | 0.5345 | 1.5411 | 90 | | 0.5268 | 1.5338 | 91 | | 0.5220 | 1.5556 | 92 | | 0.5184 | 1.5489 | 93 | | 0.5122 | 1.5635 | 94 | | 0.5014 | 1.5674 | 95 | | 0.4921 | 1.5773 | 96 | | 0.4925 | 1.5773 | 97 | | 0.4821 | 1.5938 | 98 | | 0.4769 | 1.6013 | 99 | | 0.4723 | 1.5979 | 100 | | 0.4692 | 1.6131 | 101 | | 0.4603 | 1.6247 | 102 | | 0.4553 | 1.6276 | 103 | | 0.4476 | 1.6376 | 104 | | 0.4401 | 1.6390 | 105 | | 0.4384 | 1.6442 | 106 | | 0.4305 | 1.6548 | 107 | | 0.4263 | 1.6617 | 108 | | 0.4232 | 1.6523 | 109 | | 0.4185 | 1.6561 | 110 | | 0.4129 | 1.6779 | 111 | | 0.4036 | 1.6897 | 112 | | 0.4005 | 1.6873 | 113 | | 0.3948 | 1.6987 | 114 | | 0.3892 | 1.7120 | 115 | | 0.3859 | 1.7049 | 116 | | 0.3795 | 1.7241 | 117 | | 0.3802 | 1.7273 | 118 | | 0.3731 | 1.7387 | 119 | | 0.3672 | 1.7447 | 120 | | 0.3629 | 1.7513 | 121 | | 0.3607 | 1.7515 | 122 | | 0.3543 | 1.7585 | 123 | | 0.3504 | 1.7601 | 124 | | 0.3477 | 1.7657 | 125 | | 0.3453 | 1.7733 | 126 | | 0.3448 | 1.7718 | 127 | | 0.3390 | 1.7971 | 128 | | 0.3352 | 1.7929 | 129 | | 0.3273 | 1.7988 | 130 | | 0.3250 | 1.8192 | 131 | | 0.3222 | 1.8220 | 132 | | 0.3173 | 1.8289 | 133 | | 0.3171 | 1.8261 | 134 | | 0.3124 | 1.8415 | 135 | | 0.3040 | 1.8379 | 136 | | 0.3040 | 1.8533 | 137 | | 0.3030 | 1.8511 | 138 | | 0.2970 | 1.8537 | 139 | | 0.2938 | 1.8697 | 140 | | 0.2929 | 1.8730 | 141 | | 0.2892 | 1.8632 | 142 | | 0.2816 | 1.8796 | 143 | | 0.2812 | 1.8870 | 144 | | 0.2761 | 1.8891 | 145 | | 0.2731 | 1.9134 | 146 | | 0.2698 | 1.9100 | 147 | | 0.2671 | 1.9207 | 148 | | 0.2639 | 1.9196 | 149 | | 0.2621 | 1.9130 | 150 | | 0.2589 | 1.9273 | 151 | | 0.2558 | 1.9336 | 152 | | 0.2545 | 1.9355 | 153 | | 0.2487 | 1.9551 | 154 | | 0.2493 | 1.9573 | 155 | | 0.2449 | 1.9552 | 156 | | 0.2421 | 1.9591 | 157 | | 0.2405 | 1.9556 | 158 | | 0.2367 | 1.9807 | 159 | | 0.2342 | 1.9859 | 160 | | 0.2316 | 1.9803 | 161 | | 0.2281 | 1.9853 | 162 | | 0.2269 | 1.9970 | 163 | | 0.2250 | 2.0120 | 164 | | 0.2236 | 2.0107 | 165 | | 0.2194 | 2.0208 | 166 | | 0.2183 | 2.0198 | 167 | | 0.2168 | 2.0265 | 168 | | 0.2172 | 2.0278 | 169 | | 0.2117 | 2.0380 | 170 | | 0.2078 | 2.0448 | 171 | | 0.2091 | 2.0415 | 172 | | 0.2065 | 2.0459 | 173 | | 0.2027 | 2.0597 | 174 | | 0.1995 | 2.0659 | 175 | | 0.1980 | 2.0811 | 176 | | 0.1971 | 2.0704 | 177 | | 0.1932 | 2.0785 | 178 | | 0.1892 | 2.0783 | 179 | | 0.1924 | 2.0742 | 180 | | 0.1872 | 2.0979 | 181 | | 0.1858 | 2.0958 | 182 | | 0.1853 | 2.1005 | 183 | | 0.1834 | 2.1166 | 184 | | 0.1810 | 2.1027 | 185 | | 0.1789 | 2.1151 | 186 | | 0.1768 | 2.1302 | 187 | | 0.1768 | 2.1200 | 188 | | 0.1766 | 2.1399 | 189 | | 0.1732 | 2.1196 | 190 | | 0.1719 | 2.1362 | 191 | | 0.1697 | 2.1447 | 192 | | 0.1684 | 2.1464 | 193 | | 0.1699 | 2.1442 | 194 | | 0.1657 | 2.1492 | 195 | | 0.1607 | 2.1644 | 196 | | 0.1603 | 2.1667 | 197 | | 0.1580 | 2.1715 | 198 | | 0.1588 | 2.1818 | 199 | | 0.1551 | 2.1825 | 200 | | 0.1572 | 2.1779 | 201 | | 0.1552 | 2.1842 | 202 | | 0.1528 | 2.2038 | 203 | | 0.1530 | 2.1941 | 204 | | 0.1501 | 2.1903 | 205 | | 0.1492 | 2.2089 | 206 | | 0.1498 | 2.1871 | 207 | | 0.1481 | 2.1888 | 208 | | 0.1486 | 2.2130 | 209 | | 0.1434 | 2.2259 | 210 | | 0.1432 | 2.2159 | 211 | | 0.1436 | 2.2151 | 212 | | 0.1411 | 2.2221 | 213 | | 0.1414 | 2.2294 | 214 | | 0.1381 | 2.2310 | 215 | | 0.1360 | 2.2444 | 216 | | 0.1353 | 2.2427 | 217 | | 0.1372 | 2.2461 | 218 | | 0.1350 | 2.2455 | 219 | | 0.1319 | 2.2616 | 220 | | 0.1345 | 2.2556 | 221 | | 0.1319 | 2.2567 | 222 | | 0.1301 | 2.2589 | 223 | | 0.1273 | 2.2709 | 224 | | 0.1266 | 2.2737 | 225 | | 0.1251 | 2.2794 | 226 | | 0.1255 | 2.2707 | 227 | | 0.1264 | 2.2903 | 228 | | 0.1252 | 2.2681 | 229 | | 0.1229 | 2.2939 | 230 | | 0.1217 | 2.2889 | 231 | | 0.1214 | 2.2855 | 232 | | 0.1195 | 2.3005 | 233 | | 0.1196 | 2.3030 | 234 | | 0.1200 | 2.3065 | 235 | | 0.1176 | 2.2957 | 236 | | 0.1183 | 2.2850 | 237 | | 0.1173 | 2.3067 | 238 | | 0.1158 | 2.3098 | 239 | | 0.1175 | 2.3070 | 240 | | 0.1144 | 2.3091 | 241 | | 0.1113 | 2.3286 | 242 | | 0.1112 | 2.3344 | 243 | | 0.1122 | 2.3201 | 244 | | 0.1112 | 2.3277 | 245 | | 0.1103 | 2.3282 | 246 | | 0.1074 | 2.3500 | 247 | | 0.1098 | 2.3347 | 248 | | 0.1096 | 2.3363 | 249 | | 0.1063 | 2.3397 | 250 | | 0.1053 | 2.3460 | 251 | | 0.1077 | 2.3321 | 252 | | 0.1055 | 2.3546 | 253 | | 0.1053 | 2.3340 | 254 | | 0.1041 | 2.3378 | 255 | | 0.1027 | 2.3657 | 256 | | 0.1030 | 2.3373 | 257 | | 0.1018 | 2.3576 | 258 | | 0.1040 | 2.3498 | 259 | | 0.1010 | 2.3487 | 260 | | 0.1011 | 2.3558 | 261 | | 0.0999 | 2.3610 | 262 | | 0.0996 | 2.3547 | 263 | | 0.0989 | 2.3651 | 264 | | 0.0987 | 2.3588 | 265 | | 0.1003 | 2.3488 | 266 | | 0.0966 | 2.3740 | 267 | | 0.0973 | 2.3670 | 268 | | 0.0980 | 2.3540 | 269 | | 0.0977 | 2.3531 | 270 | | 0.0956 | 2.3516 | 271 | | 0.0940 | 2.3640 | 272 | | 0.0941 | 2.3609 | 273 | | 0.0933 | 2.3583 | 274 | | 0.0954 | 2.3766 | 275 | | 0.0905 | 2.3796 | 276 | | 0.0931 | 2.3734 | 277 | | 0.0924 | 2.3788 | 278 | | 0.0897 | 2.3839 | 279 | | 0.0900 | 2.3819 | 280 | | 0.0900 | 2.3771 | 281 | | 0.0913 | 2.3619 | 282 | | 0.0888 | 2.3731 | 283 | | 0.0901 | 2.3813 | 284 | | 0.0877 | 2.3956 | 285 | | 0.0882 | 2.3754 | 286 | | 0.0874 | 2.3767 | 287 | | 0.0862 | 2.3913 | 288 | | 0.0877 | 2.3835 | 289 | | 0.0864 | 2.4017 | 290 | | 0.0858 | 2.4085 | 291 | | 0.0863 | 2.4105 | 292 | | 0.0858 | 2.4059 | 293 | | 0.0865 | 2.3823 | 294 | | 0.0843 | 2.4068 | 295 | | 0.0849 | 2.4148 | 296 | | 0.0838 | 2.4138 | 297 | | 0.0837 | 2.4177 | 298 | | 0.0824 | 2.4125 | 299 | | 0.0830 | 2.3931 | 300 | | 0.0827 | 2.4092 | 301 | | 0.0840 | 2.4185 | 302 | | 0.0835 | 2.4079 | 303 | | 0.0814 | 2.4121 | 304 | | 0.0820 | 2.4149 | 305 | | 0.0811 | 2.3981 | 306 | | 0.0815 | 2.4207 | 307 | | 0.0795 | 2.4305 | 308 | | 0.0816 | 2.4200 | 309 | | 0.0792 | 2.4255 | 310 | | 0.0803 | 2.4238 | 311 | | 0.0781 | 2.4316 | 312 | | 0.0773 | 2.4552 | 313 | | 0.0777 | 2.4426 | 314 | | 0.0767 | 2.4411 | 315 | | 0.0775 | 2.4338 | 316 | | 0.0774 | 2.4471 | 317 | | 0.0775 | 2.4411 | 318 | | 0.0772 | 2.4345 | 319 | | 0.0767 | 2.4524 | 320 | | 0.0773 | 2.4268 | 321 | | 0.0764 | 2.4423 | 322 | | 0.0763 | 2.4347 | 323 | | 0.0757 | 2.4518 | 324 | | 0.0761 | 2.4477 | 325 | | 0.0742 | 2.4567 | 326 | | 0.0763 | 2.4599 | 327 | | 0.0745 | 2.4768 | 328 | | 0.0751 | 2.4397 | 329 | | 0.0744 | 2.4510 | 330 | | 0.0737 | 2.4455 | 331 | | 0.0747 | 2.4608 | 332 | | 0.0724 | 2.4727 | 333 | | 0.0740 | 2.4467 | 334 | | 0.0739 | 2.4447 | 335 | | 0.0716 | 2.4674 | 336 | | 0.0723 | 2.4512 | 337 | | 0.0726 | 2.4452 | 338 | | 0.0709 | 2.4469 | 339 | | 0.0721 | 2.4593 | 340 | | 0.0719 | 2.4458 | 341 | | 0.0704 | 2.4783 | 342 | | 0.0702 | 2.4690 | 343 | | 0.0720 | 2.4510 | 344 | | 0.0700 | 2.4665 | 345 | | 0.0713 | 2.4748 | 346 | | 0.0693 | 2.4626 | 347 | | 0.0687 | 2.4665 | 348 | | 0.0685 | 2.4568 | 349 | | 0.0692 | 2.4718 | 350 | | 0.0694 | 2.4751 | 351 | | 0.0691 | 2.4684 | 352 | ### Framework versions - Transformers 4.38.2 - TensorFlow 2.15.0 - Datasets 2.18.0 - Tokenizers 0.15.2