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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: pijarcandra22/NMTIndoBaliT5
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# 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: 0.0490
- Validation Loss: 2.6202
- Epoch: 498
## 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 |
| 0.0684 | 2.4866 | 353 |
| 0.0674 | 2.4946 | 354 |
| 0.0671 | 2.4772 | 355 |
| 0.0674 | 2.4763 | 356 |
| 0.0672 | 2.5013 | 357 |
| 0.0683 | 2.4805 | 358 |
| 0.0675 | 2.4810 | 359 |
| 0.0660 | 2.4837 | 360 |
| 0.0663 | 2.4880 | 361 |
| 0.0659 | 2.4878 | 362 |
| 0.0670 | 2.4878 | 363 |
| 0.0663 | 2.4880 | 364 |
| 0.0649 | 2.4862 | 365 |
| 0.0661 | 2.4902 | 366 |
| 0.0655 | 2.5094 | 367 |
| 0.0645 | 2.5056 | 368 |
| 0.0643 | 2.5108 | 369 |
| 0.0651 | 2.5107 | 370 |
| 0.0645 | 2.5097 | 371 |
| 0.0649 | 2.5055 | 372 |
| 0.0641 | 2.5140 | 373 |
| 0.0648 | 2.5048 | 374 |
| 0.0638 | 2.5043 | 375 |
| 0.0641 | 2.5189 | 376 |
| 0.0648 | 2.5121 | 377 |
| 0.0633 | 2.5016 | 378 |
| 0.0635 | 2.5086 | 379 |
| 0.0630 | 2.5201 | 380 |
| 0.0624 | 2.5168 | 381 |
| 0.0628 | 2.5057 | 382 |
| 0.0625 | 2.5213 | 383 |
| 0.0638 | 2.5116 | 384 |
| 0.0633 | 2.5119 | 385 |
| 0.0629 | 2.5153 | 386 |
| 0.0631 | 2.5124 | 387 |
| 0.0618 | 2.5068 | 388 |
| 0.0618 | 2.5147 | 389 |
| 0.0616 | 2.5187 | 390 |
| 0.0607 | 2.5190 | 391 |
| 0.0609 | 2.5095 | 392 |
| 0.0624 | 2.5009 | 393 |
| 0.0605 | 2.5058 | 394 |
| 0.0623 | 2.5067 | 395 |
| 0.0616 | 2.4963 | 396 |
| 0.0609 | 2.5164 | 397 |
| 0.0600 | 2.5098 | 398 |
| 0.0598 | 2.5210 | 399 |
| 0.0600 | 2.5219 | 400 |
| 0.0601 | 2.5294 | 401 |
| 0.0597 | 2.5104 | 402 |
| 0.0592 | 2.5396 | 403 |
| 0.0593 | 2.5355 | 404 |
| 0.0599 | 2.5125 | 405 |
| 0.0592 | 2.5513 | 406 |
| 0.0595 | 2.5446 | 407 |
| 0.0581 | 2.5417 | 408 |
| 0.0593 | 2.5255 | 409 |
| 0.0597 | 2.5447 | 410 |
| 0.0588 | 2.5475 | 411 |
| 0.0584 | 2.5529 | 412 |
| 0.0576 | 2.5431 | 413 |
| 0.0573 | 2.5441 | 414 |
| 0.0585 | 2.5366 | 415 |
| 0.0571 | 2.5554 | 416 |
| 0.0580 | 2.5337 | 417 |
| 0.0589 | 2.5227 | 418 |
| 0.0582 | 2.5328 | 419 |
| 0.0575 | 2.5512 | 420 |
| 0.0573 | 2.5600 | 421 |
| 0.0578 | 2.5597 | 422 |
| 0.0578 | 2.5589 | 423 |
| 0.0567 | 2.5518 | 424 |
| 0.0574 | 2.5650 | 425 |
| 0.0580 | 2.5462 | 426 |
| 0.0560 | 2.5490 | 427 |
| 0.0558 | 2.5566 | 428 |
| 0.0565 | 2.5489 | 429 |
| 0.0569 | 2.5492 | 430 |
| 0.0564 | 2.5509 | 431 |
| 0.0555 | 2.5484 | 432 |
| 0.0556 | 2.5403 | 433 |
| 0.0549 | 2.5533 | 434 |
| 0.0546 | 2.5606 | 435 |
| 0.0556 | 2.5657 | 436 |
| 0.0554 | 2.5543 | 437 |
| 0.0554 | 2.5780 | 438 |
| 0.0554 | 2.5815 | 439 |
| 0.0546 | 2.5734 | 440 |
| 0.0540 | 2.5661 | 441 |
| 0.0541 | 2.5809 | 442 |
| 0.0537 | 2.5701 | 443 |
| 0.0548 | 2.5641 | 444 |
| 0.0551 | 2.5584 | 445 |
| 0.0544 | 2.5504 | 446 |
| 0.0538 | 2.5745 | 447 |
| 0.0544 | 2.5595 | 448 |
| 0.0550 | 2.5685 | 449 |
| 0.0529 | 2.5680 | 450 |
| 0.0530 | 2.5781 | 451 |
| 0.0530 | 2.5722 | 452 |
| 0.0524 | 2.5818 | 453 |
| 0.0523 | 2.5727 | 454 |
| 0.0530 | 2.5708 | 455 |
| 0.0541 | 2.5882 | 456 |
| 0.0531 | 2.5703 | 457 |
| 0.0531 | 2.5910 | 458 |
| 0.0520 | 2.5712 | 459 |
| 0.0535 | 2.5703 | 460 |
| 0.0523 | 2.5671 | 461 |
| 0.0526 | 2.5926 | 462 |
| 0.0524 | 2.5740 | 463 |
| 0.0525 | 2.5580 | 464 |
| 0.0518 | 2.5777 | 465 |
| 0.0515 | 2.5942 | 466 |
| 0.0521 | 2.5632 | 467 |
| 0.0523 | 2.5658 | 468 |
| 0.0517 | 2.5798 | 469 |
| 0.0521 | 2.5898 | 470 |
| 0.0519 | 2.5733 | 471 |
| 0.0512 | 2.6010 | 472 |
| 0.0518 | 2.5822 | 473 |
| 0.0519 | 2.5942 | 474 |
| 0.0514 | 2.5968 | 475 |
| 0.0511 | 2.5963 | 476 |
| 0.0514 | 2.5924 | 477 |
| 0.0501 | 2.5994 | 478 |
| 0.0510 | 2.5948 | 479 |
| 0.0507 | 2.6069 | 480 |
| 0.0516 | 2.6118 | 481 |
| 0.0506 | 2.6180 | 482 |
| 0.0504 | 2.6209 | 483 |
| 0.0515 | 2.6133 | 484 |
| 0.0503 | 2.6106 | 485 |
| 0.0511 | 2.6082 | 486 |
| 0.0516 | 2.5892 | 487 |
| 0.0508 | 2.5803 | 488 |
| 0.0502 | 2.5887 | 489 |
| 0.0501 | 2.5958 | 490 |
| 0.0500 | 2.6165 | 491 |
| 0.0496 | 2.6172 | 492 |
| 0.0508 | 2.6027 | 493 |
| 0.0502 | 2.6052 | 494 |
| 0.0505 | 2.6160 | 495 |
| 0.0503 | 2.6068 | 496 |
| 0.0502 | 2.6031 | 497 |
| 0.0490 | 2.6202 | 498 |
### Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2
|