ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k13_task2_organization
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5973
- Qwk: 0.5510
- Mse: 0.5973
- Rmse: 0.7728
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:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
Training results
Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
---|---|---|---|---|---|---|
No log | 0.0303 | 2 | 4.2437 | -0.0200 | 4.2437 | 2.0600 |
No log | 0.0606 | 4 | 2.3060 | 0.0518 | 2.3060 | 1.5185 |
No log | 0.0909 | 6 | 1.4451 | 0.0251 | 1.4451 | 1.2021 |
No log | 0.1212 | 8 | 1.0961 | -0.0377 | 1.0961 | 1.0469 |
No log | 0.1515 | 10 | 0.9391 | 0.0519 | 0.9391 | 0.9691 |
No log | 0.1818 | 12 | 0.8076 | 0.2537 | 0.8076 | 0.8986 |
No log | 0.2121 | 14 | 0.7883 | 0.2733 | 0.7883 | 0.8879 |
No log | 0.2424 | 16 | 0.7539 | 0.3051 | 0.7539 | 0.8683 |
No log | 0.2727 | 18 | 0.7718 | 0.3076 | 0.7718 | 0.8785 |
No log | 0.3030 | 20 | 0.8926 | 0.3108 | 0.8926 | 0.9448 |
No log | 0.3333 | 22 | 0.9831 | 0.2776 | 0.9831 | 0.9915 |
No log | 0.3636 | 24 | 0.8266 | 0.3425 | 0.8266 | 0.9092 |
No log | 0.3939 | 26 | 0.7172 | 0.3307 | 0.7172 | 0.8469 |
No log | 0.4242 | 28 | 0.6883 | 0.3499 | 0.6883 | 0.8296 |
No log | 0.4545 | 30 | 0.7305 | 0.3528 | 0.7305 | 0.8547 |
No log | 0.4848 | 32 | 1.0912 | 0.2352 | 1.0912 | 1.0446 |
No log | 0.5152 | 34 | 1.6630 | 0.1878 | 1.6630 | 1.2896 |
No log | 0.5455 | 36 | 2.2481 | 0.0608 | 2.2481 | 1.4994 |
No log | 0.5758 | 38 | 2.1379 | 0.1290 | 2.1379 | 1.4622 |
No log | 0.6061 | 40 | 1.5969 | 0.2011 | 1.5969 | 1.2637 |
No log | 0.6364 | 42 | 0.9295 | 0.3576 | 0.9295 | 0.9641 |
No log | 0.6667 | 44 | 0.7512 | 0.3579 | 0.7512 | 0.8667 |
No log | 0.6970 | 46 | 0.7392 | 0.2971 | 0.7392 | 0.8598 |
No log | 0.7273 | 48 | 0.8486 | 0.3195 | 0.8486 | 0.9212 |
No log | 0.7576 | 50 | 1.1241 | 0.2765 | 1.1241 | 1.0602 |
No log | 0.7879 | 52 | 1.7159 | 0.1552 | 1.7159 | 1.3099 |
No log | 0.8182 | 54 | 1.7376 | 0.1636 | 1.7376 | 1.3182 |
No log | 0.8485 | 56 | 1.5869 | 0.1699 | 1.5869 | 1.2597 |
No log | 0.8788 | 58 | 1.2745 | 0.1820 | 1.2745 | 1.1289 |
No log | 0.9091 | 60 | 1.1529 | 0.2588 | 1.1529 | 1.0737 |
No log | 0.9394 | 62 | 1.1826 | 0.1976 | 1.1826 | 1.0875 |
No log | 0.9697 | 64 | 1.2701 | 0.1517 | 1.2701 | 1.1270 |
No log | 1.0 | 66 | 1.2298 | 0.1696 | 1.2298 | 1.1090 |
No log | 1.0303 | 68 | 0.9636 | 0.3117 | 0.9636 | 0.9816 |
No log | 1.0606 | 70 | 0.7629 | 0.3801 | 0.7629 | 0.8734 |
No log | 1.0909 | 72 | 0.6990 | 0.3818 | 0.6990 | 0.8361 |
No log | 1.1212 | 74 | 0.6661 | 0.4560 | 0.6661 | 0.8161 |
No log | 1.1515 | 76 | 0.6892 | 0.3984 | 0.6892 | 0.8302 |
No log | 1.1818 | 78 | 0.8702 | 0.3295 | 0.8702 | 0.9329 |
No log | 1.2121 | 80 | 1.1036 | 0.2471 | 1.1036 | 1.0505 |
No log | 1.2424 | 82 | 1.2145 | 0.2291 | 1.2145 | 1.1021 |
No log | 1.2727 | 84 | 1.3118 | 0.1965 | 1.3118 | 1.1453 |
No log | 1.3030 | 86 | 1.2422 | 0.2240 | 1.2422 | 1.1145 |
No log | 1.3333 | 88 | 1.0986 | 0.2681 | 1.0986 | 1.0481 |
No log | 1.3636 | 90 | 0.8130 | 0.3839 | 0.8130 | 0.9017 |
No log | 1.3939 | 92 | 0.6385 | 0.4806 | 0.6385 | 0.7990 |
No log | 1.4242 | 94 | 0.5971 | 0.5166 | 0.5971 | 0.7727 |
No log | 1.4545 | 96 | 0.5944 | 0.5192 | 0.5944 | 0.7710 |
No log | 1.4848 | 98 | 0.6175 | 0.4970 | 0.6175 | 0.7858 |
No log | 1.5152 | 100 | 0.7169 | 0.4726 | 0.7169 | 0.8467 |
No log | 1.5455 | 102 | 0.7600 | 0.4255 | 0.7600 | 0.8718 |
No log | 1.5758 | 104 | 0.8903 | 0.3457 | 0.8903 | 0.9435 |
No log | 1.6061 | 106 | 0.9261 | 0.3452 | 0.9261 | 0.9624 |
No log | 1.6364 | 108 | 0.9773 | 0.3384 | 0.9773 | 0.9886 |
No log | 1.6667 | 110 | 0.9426 | 0.3556 | 0.9426 | 0.9709 |
No log | 1.6970 | 112 | 0.8051 | 0.3714 | 0.8051 | 0.8973 |
No log | 1.7273 | 114 | 0.7439 | 0.3883 | 0.7439 | 0.8625 |
No log | 1.7576 | 116 | 0.7858 | 0.4618 | 0.7858 | 0.8864 |
No log | 1.7879 | 118 | 0.6886 | 0.4929 | 0.6886 | 0.8298 |
No log | 1.8182 | 120 | 0.6743 | 0.5606 | 0.6743 | 0.8212 |
No log | 1.8485 | 122 | 0.6606 | 0.5106 | 0.6606 | 0.8128 |
No log | 1.8788 | 124 | 0.6441 | 0.5098 | 0.6441 | 0.8026 |
No log | 1.9091 | 126 | 0.7574 | 0.4554 | 0.7574 | 0.8703 |
No log | 1.9394 | 128 | 0.9085 | 0.3741 | 0.9085 | 0.9532 |
No log | 1.9697 | 130 | 0.9922 | 0.3516 | 0.9922 | 0.9961 |
No log | 2.0 | 132 | 0.9563 | 0.3737 | 0.9563 | 0.9779 |
No log | 2.0303 | 134 | 0.7497 | 0.3943 | 0.7497 | 0.8658 |
No log | 2.0606 | 136 | 0.6961 | 0.4517 | 0.6961 | 0.8344 |
No log | 2.0909 | 138 | 0.6581 | 0.4428 | 0.6581 | 0.8112 |
No log | 2.1212 | 140 | 0.6761 | 0.4540 | 0.6761 | 0.8222 |
No log | 2.1515 | 142 | 0.7549 | 0.4049 | 0.7549 | 0.8689 |
No log | 2.1818 | 144 | 0.9134 | 0.3728 | 0.9134 | 0.9557 |
No log | 2.2121 | 146 | 0.9871 | 0.3486 | 0.9871 | 0.9936 |
No log | 2.2424 | 148 | 0.9842 | 0.3842 | 0.9842 | 0.9921 |
No log | 2.2727 | 150 | 0.9552 | 0.4106 | 0.9552 | 0.9774 |
No log | 2.3030 | 152 | 0.8266 | 0.4092 | 0.8266 | 0.9092 |
No log | 2.3333 | 154 | 0.7703 | 0.4085 | 0.7703 | 0.8776 |
No log | 2.3636 | 156 | 0.7158 | 0.4052 | 0.7158 | 0.8461 |
No log | 2.3939 | 158 | 0.6616 | 0.4307 | 0.6616 | 0.8134 |
No log | 2.4242 | 160 | 0.6677 | 0.4802 | 0.6677 | 0.8171 |
No log | 2.4545 | 162 | 0.6730 | 0.3742 | 0.6730 | 0.8204 |
No log | 2.4848 | 164 | 0.6434 | 0.4356 | 0.6434 | 0.8022 |
No log | 2.5152 | 166 | 0.6852 | 0.4214 | 0.6852 | 0.8278 |
No log | 2.5455 | 168 | 0.8728 | 0.4172 | 0.8728 | 0.9342 |
No log | 2.5758 | 170 | 0.9375 | 0.3845 | 0.9375 | 0.9683 |
No log | 2.6061 | 172 | 0.8500 | 0.4162 | 0.8500 | 0.9220 |
No log | 2.6364 | 174 | 0.8063 | 0.4556 | 0.8063 | 0.8979 |
No log | 2.6667 | 176 | 0.7207 | 0.4801 | 0.7207 | 0.8489 |
No log | 2.6970 | 178 | 0.7056 | 0.5344 | 0.7056 | 0.8400 |
No log | 2.7273 | 180 | 0.6624 | 0.5813 | 0.6624 | 0.8139 |
No log | 2.7576 | 182 | 0.6776 | 0.4697 | 0.6776 | 0.8231 |
No log | 2.7879 | 184 | 0.8653 | 0.4475 | 0.8653 | 0.9302 |
No log | 2.8182 | 186 | 0.9436 | 0.4232 | 0.9436 | 0.9714 |
No log | 2.8485 | 188 | 0.9605 | 0.4177 | 0.9605 | 0.9800 |
No log | 2.8788 | 190 | 0.7743 | 0.4732 | 0.7743 | 0.8799 |
No log | 2.9091 | 192 | 0.6480 | 0.4658 | 0.6480 | 0.8050 |
No log | 2.9394 | 194 | 0.6186 | 0.5170 | 0.6186 | 0.7865 |
No log | 2.9697 | 196 | 0.6848 | 0.4594 | 0.6848 | 0.8275 |
No log | 3.0 | 198 | 0.7270 | 0.4573 | 0.7270 | 0.8526 |
No log | 3.0303 | 200 | 0.6605 | 0.4795 | 0.6605 | 0.8127 |
No log | 3.0606 | 202 | 0.6163 | 0.4545 | 0.6163 | 0.7851 |
No log | 3.0909 | 204 | 0.6271 | 0.4861 | 0.6271 | 0.7919 |
No log | 3.1212 | 206 | 0.7024 | 0.4474 | 0.7024 | 0.8381 |
No log | 3.1515 | 208 | 0.6934 | 0.4734 | 0.6934 | 0.8327 |
No log | 3.1818 | 210 | 0.6230 | 0.4437 | 0.6230 | 0.7893 |
No log | 3.2121 | 212 | 0.6476 | 0.3924 | 0.6476 | 0.8047 |
No log | 3.2424 | 214 | 0.7016 | 0.4152 | 0.7016 | 0.8376 |
No log | 3.2727 | 216 | 0.6796 | 0.3954 | 0.6796 | 0.8244 |
No log | 3.3030 | 218 | 0.6668 | 0.5150 | 0.6668 | 0.8166 |
No log | 3.3333 | 220 | 0.6829 | 0.4909 | 0.6829 | 0.8264 |
No log | 3.3636 | 222 | 0.7703 | 0.4819 | 0.7703 | 0.8777 |
No log | 3.3939 | 224 | 0.8916 | 0.4026 | 0.8916 | 0.9442 |
No log | 3.4242 | 226 | 0.8534 | 0.4305 | 0.8534 | 0.9238 |
No log | 3.4545 | 228 | 0.7043 | 0.4996 | 0.7043 | 0.8392 |
No log | 3.4848 | 230 | 0.6225 | 0.4649 | 0.6225 | 0.7890 |
No log | 3.5152 | 232 | 0.6109 | 0.4398 | 0.6109 | 0.7816 |
No log | 3.5455 | 234 | 0.6014 | 0.4192 | 0.6014 | 0.7755 |
No log | 3.5758 | 236 | 0.5981 | 0.4860 | 0.5981 | 0.7733 |
No log | 3.6061 | 238 | 0.6038 | 0.5377 | 0.6038 | 0.7770 |
No log | 3.6364 | 240 | 0.6700 | 0.5208 | 0.6700 | 0.8186 |
No log | 3.6667 | 242 | 0.6899 | 0.4972 | 0.6899 | 0.8306 |
No log | 3.6970 | 244 | 0.6541 | 0.5190 | 0.6541 | 0.8088 |
No log | 3.7273 | 246 | 0.6519 | 0.5150 | 0.6519 | 0.8074 |
No log | 3.7576 | 248 | 0.6108 | 0.5384 | 0.6108 | 0.7815 |
No log | 3.7879 | 250 | 0.6204 | 0.5644 | 0.6204 | 0.7876 |
No log | 3.8182 | 252 | 0.6264 | 0.5963 | 0.6264 | 0.7914 |
No log | 3.8485 | 254 | 0.6162 | 0.5929 | 0.6162 | 0.7850 |
No log | 3.8788 | 256 | 0.6305 | 0.5220 | 0.6305 | 0.7941 |
No log | 3.9091 | 258 | 0.6487 | 0.4975 | 0.6487 | 0.8054 |
No log | 3.9394 | 260 | 0.7017 | 0.4724 | 0.7017 | 0.8377 |
No log | 3.9697 | 262 | 0.7196 | 0.4786 | 0.7196 | 0.8483 |
No log | 4.0 | 264 | 0.6901 | 0.4734 | 0.6901 | 0.8307 |
No log | 4.0303 | 266 | 0.7129 | 0.4439 | 0.7129 | 0.8443 |
No log | 4.0606 | 268 | 0.7643 | 0.5246 | 0.7643 | 0.8743 |
No log | 4.0909 | 270 | 0.7123 | 0.5307 | 0.7123 | 0.8440 |
No log | 4.1212 | 272 | 0.7101 | 0.4564 | 0.7101 | 0.8427 |
No log | 4.1515 | 274 | 0.7462 | 0.4426 | 0.7462 | 0.8638 |
No log | 4.1818 | 276 | 0.7256 | 0.4336 | 0.7256 | 0.8518 |
No log | 4.2121 | 278 | 0.7002 | 0.4814 | 0.7002 | 0.8368 |
No log | 4.2424 | 280 | 0.6546 | 0.4824 | 0.6546 | 0.8091 |
No log | 4.2727 | 282 | 0.6135 | 0.4467 | 0.6135 | 0.7832 |
No log | 4.3030 | 284 | 0.6158 | 0.5048 | 0.6158 | 0.7847 |
No log | 4.3333 | 286 | 0.6384 | 0.5016 | 0.6384 | 0.7990 |
No log | 4.3636 | 288 | 0.6290 | 0.5206 | 0.6290 | 0.7931 |
No log | 4.3939 | 290 | 0.6151 | 0.5206 | 0.6151 | 0.7843 |
No log | 4.4242 | 292 | 0.6281 | 0.5040 | 0.6281 | 0.7925 |
No log | 4.4545 | 294 | 0.6288 | 0.5184 | 0.6288 | 0.7930 |
No log | 4.4848 | 296 | 0.6033 | 0.5431 | 0.6033 | 0.7767 |
No log | 4.5152 | 298 | 0.6187 | 0.5315 | 0.6187 | 0.7866 |
No log | 4.5455 | 300 | 0.6073 | 0.5079 | 0.6073 | 0.7793 |
No log | 4.5758 | 302 | 0.5914 | 0.5444 | 0.5914 | 0.7690 |
No log | 4.6061 | 304 | 0.5845 | 0.5479 | 0.5845 | 0.7645 |
No log | 4.6364 | 306 | 0.5790 | 0.5255 | 0.5790 | 0.7609 |
No log | 4.6667 | 308 | 0.5881 | 0.4822 | 0.5881 | 0.7669 |
No log | 4.6970 | 310 | 0.6147 | 0.4835 | 0.6147 | 0.7840 |
No log | 4.7273 | 312 | 0.5955 | 0.4310 | 0.5955 | 0.7717 |
No log | 4.7576 | 314 | 0.5911 | 0.4133 | 0.5911 | 0.7688 |
No log | 4.7879 | 316 | 0.5873 | 0.4559 | 0.5873 | 0.7664 |
No log | 4.8182 | 318 | 0.5877 | 0.4943 | 0.5877 | 0.7666 |
No log | 4.8485 | 320 | 0.6782 | 0.5292 | 0.6782 | 0.8235 |
No log | 4.8788 | 322 | 0.8162 | 0.4397 | 0.8162 | 0.9035 |
No log | 4.9091 | 324 | 0.7810 | 0.4346 | 0.7810 | 0.8837 |
No log | 4.9394 | 326 | 0.6441 | 0.5114 | 0.6441 | 0.8026 |
No log | 4.9697 | 328 | 0.5887 | 0.4703 | 0.5887 | 0.7673 |
No log | 5.0 | 330 | 0.6041 | 0.4353 | 0.6041 | 0.7772 |
No log | 5.0303 | 332 | 0.6086 | 0.3868 | 0.6086 | 0.7801 |
No log | 5.0606 | 334 | 0.6157 | 0.3371 | 0.6157 | 0.7847 |
No log | 5.0909 | 336 | 0.6276 | 0.3337 | 0.6276 | 0.7922 |
No log | 5.1212 | 338 | 0.6587 | 0.4133 | 0.6587 | 0.8116 |
No log | 5.1515 | 340 | 0.6566 | 0.4265 | 0.6566 | 0.8103 |
No log | 5.1818 | 342 | 0.6077 | 0.4757 | 0.6077 | 0.7796 |
No log | 5.2121 | 344 | 0.6120 | 0.4599 | 0.6120 | 0.7823 |
No log | 5.2424 | 346 | 0.6402 | 0.5211 | 0.6402 | 0.8001 |
No log | 5.2727 | 348 | 0.6258 | 0.5524 | 0.6258 | 0.7911 |
No log | 5.3030 | 350 | 0.6010 | 0.4671 | 0.6010 | 0.7752 |
No log | 5.3333 | 352 | 0.5899 | 0.4858 | 0.5899 | 0.7681 |
No log | 5.3636 | 354 | 0.5875 | 0.4814 | 0.5875 | 0.7665 |
No log | 5.3939 | 356 | 0.5882 | 0.4978 | 0.5882 | 0.7669 |
No log | 5.4242 | 358 | 0.5833 | 0.5234 | 0.5833 | 0.7637 |
No log | 5.4545 | 360 | 0.6310 | 0.5351 | 0.6310 | 0.7944 |
No log | 5.4848 | 362 | 0.6482 | 0.5141 | 0.6482 | 0.8051 |
No log | 5.5152 | 364 | 0.6195 | 0.5732 | 0.6195 | 0.7871 |
No log | 5.5455 | 366 | 0.6264 | 0.5354 | 0.6264 | 0.7914 |
No log | 5.5758 | 368 | 0.6481 | 0.5309 | 0.6481 | 0.8050 |
No log | 5.6061 | 370 | 0.6780 | 0.5176 | 0.6780 | 0.8234 |
No log | 5.6364 | 372 | 0.6843 | 0.4896 | 0.6843 | 0.8272 |
No log | 5.6667 | 374 | 0.7078 | 0.5058 | 0.7078 | 0.8413 |
No log | 5.6970 | 376 | 0.6775 | 0.4939 | 0.6775 | 0.8231 |
No log | 5.7273 | 378 | 0.6263 | 0.5571 | 0.6263 | 0.7914 |
No log | 5.7576 | 380 | 0.5952 | 0.5310 | 0.5952 | 0.7715 |
No log | 5.7879 | 382 | 0.5863 | 0.5111 | 0.5863 | 0.7657 |
No log | 5.8182 | 384 | 0.5792 | 0.4965 | 0.5792 | 0.7611 |
No log | 5.8485 | 386 | 0.5600 | 0.5489 | 0.5600 | 0.7484 |
No log | 5.8788 | 388 | 0.5837 | 0.5457 | 0.5837 | 0.7640 |
No log | 5.9091 | 390 | 0.5991 | 0.5542 | 0.5991 | 0.7740 |
No log | 5.9394 | 392 | 0.5875 | 0.5705 | 0.5875 | 0.7665 |
No log | 5.9697 | 394 | 0.5698 | 0.5331 | 0.5698 | 0.7548 |
No log | 6.0 | 396 | 0.5525 | 0.5124 | 0.5525 | 0.7433 |
No log | 6.0303 | 398 | 0.5528 | 0.5054 | 0.5528 | 0.7435 |
No log | 6.0606 | 400 | 0.5549 | 0.5118 | 0.5549 | 0.7449 |
No log | 6.0909 | 402 | 0.5566 | 0.5155 | 0.5566 | 0.7461 |
No log | 6.1212 | 404 | 0.5606 | 0.5230 | 0.5606 | 0.7488 |
No log | 6.1515 | 406 | 0.5491 | 0.4876 | 0.5491 | 0.7410 |
No log | 6.1818 | 408 | 0.5664 | 0.4924 | 0.5664 | 0.7526 |
No log | 6.2121 | 410 | 0.6042 | 0.5070 | 0.6042 | 0.7773 |
No log | 6.2424 | 412 | 0.5943 | 0.5214 | 0.5943 | 0.7709 |
No log | 6.2727 | 414 | 0.5846 | 0.4955 | 0.5846 | 0.7646 |
No log | 6.3030 | 416 | 0.5858 | 0.5174 | 0.5858 | 0.7654 |
No log | 6.3333 | 418 | 0.5997 | 0.5110 | 0.5997 | 0.7744 |
No log | 6.3636 | 420 | 0.6063 | 0.5082 | 0.6063 | 0.7786 |
No log | 6.3939 | 422 | 0.6144 | 0.5004 | 0.6144 | 0.7838 |
No log | 6.4242 | 424 | 0.6124 | 0.5131 | 0.6124 | 0.7825 |
No log | 6.4545 | 426 | 0.6110 | 0.5350 | 0.6110 | 0.7817 |
No log | 6.4848 | 428 | 0.6014 | 0.5124 | 0.6014 | 0.7755 |
No log | 6.5152 | 430 | 0.6131 | 0.5820 | 0.6131 | 0.7830 |
No log | 6.5455 | 432 | 0.6265 | 0.5610 | 0.6265 | 0.7915 |
No log | 6.5758 | 434 | 0.6247 | 0.5451 | 0.6247 | 0.7904 |
No log | 6.6061 | 436 | 0.6275 | 0.4755 | 0.6275 | 0.7922 |
No log | 6.6364 | 438 | 0.6141 | 0.4766 | 0.6141 | 0.7836 |
No log | 6.6667 | 440 | 0.6072 | 0.5101 | 0.6072 | 0.7792 |
No log | 6.6970 | 442 | 0.5886 | 0.4542 | 0.5886 | 0.7672 |
No log | 6.7273 | 444 | 0.5877 | 0.4603 | 0.5877 | 0.7666 |
No log | 6.7576 | 446 | 0.5861 | 0.5005 | 0.5861 | 0.7656 |
No log | 6.7879 | 448 | 0.5928 | 0.5153 | 0.5928 | 0.7699 |
No log | 6.8182 | 450 | 0.5979 | 0.5546 | 0.5979 | 0.7732 |
No log | 6.8485 | 452 | 0.6107 | 0.5338 | 0.6107 | 0.7815 |
No log | 6.8788 | 454 | 0.6317 | 0.5338 | 0.6317 | 0.7948 |
No log | 6.9091 | 456 | 0.6215 | 0.5214 | 0.6215 | 0.7884 |
No log | 6.9394 | 458 | 0.6050 | 0.5624 | 0.6050 | 0.7778 |
No log | 6.9697 | 460 | 0.6114 | 0.5216 | 0.6114 | 0.7819 |
No log | 7.0 | 462 | 0.6390 | 0.5461 | 0.6390 | 0.7993 |
No log | 7.0303 | 464 | 0.7177 | 0.5438 | 0.7177 | 0.8472 |
No log | 7.0606 | 466 | 0.7083 | 0.5217 | 0.7083 | 0.8416 |
No log | 7.0909 | 468 | 0.7185 | 0.4620 | 0.7185 | 0.8476 |
No log | 7.1212 | 470 | 0.7301 | 0.4508 | 0.7301 | 0.8545 |
No log | 7.1515 | 472 | 0.7060 | 0.5145 | 0.7060 | 0.8403 |
No log | 7.1818 | 474 | 0.6594 | 0.4708 | 0.6594 | 0.8121 |
No log | 7.2121 | 476 | 0.6332 | 0.4750 | 0.6332 | 0.7958 |
No log | 7.2424 | 478 | 0.6464 | 0.5372 | 0.6464 | 0.8040 |
No log | 7.2727 | 480 | 0.6444 | 0.5177 | 0.6444 | 0.8027 |
No log | 7.3030 | 482 | 0.6237 | 0.5458 | 0.6237 | 0.7897 |
No log | 7.3333 | 484 | 0.5972 | 0.5163 | 0.5972 | 0.7728 |
No log | 7.3636 | 486 | 0.5852 | 0.5338 | 0.5852 | 0.7650 |
No log | 7.3939 | 488 | 0.5747 | 0.4985 | 0.5747 | 0.7581 |
No log | 7.4242 | 490 | 0.5874 | 0.4986 | 0.5874 | 0.7664 |
No log | 7.4545 | 492 | 0.5865 | 0.4562 | 0.5865 | 0.7658 |
No log | 7.4848 | 494 | 0.5435 | 0.4896 | 0.5435 | 0.7372 |
No log | 7.5152 | 496 | 0.5280 | 0.5184 | 0.5280 | 0.7266 |
No log | 7.5455 | 498 | 0.5488 | 0.5159 | 0.5488 | 0.7408 |
0.3849 | 7.5758 | 500 | 0.5593 | 0.5674 | 0.5593 | 0.7479 |
0.3849 | 7.6061 | 502 | 0.5911 | 0.5368 | 0.5911 | 0.7689 |
0.3849 | 7.6364 | 504 | 0.6278 | 0.5624 | 0.6278 | 0.7924 |
0.3849 | 7.6667 | 506 | 0.6610 | 0.5441 | 0.6610 | 0.8130 |
0.3849 | 7.6970 | 508 | 0.6429 | 0.5192 | 0.6429 | 0.8018 |
0.3849 | 7.7273 | 510 | 0.5973 | 0.5510 | 0.5973 | 0.7728 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k13_task2_organization
Base model
aubmindlab/bert-base-arabertv02