ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k12_task1_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: 0.6998
- Qwk: 0.7673
- Mse: 0.6998
- Rmse: 0.8366
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 | 0.0351 | 2 | 6.5625 | 0.0176 | 6.5625 | 2.5617 |
No log | 0.0702 | 4 | 4.3884 | 0.0365 | 4.3884 | 2.0949 |
No log | 0.1053 | 6 | 3.3757 | -0.0104 | 3.3757 | 1.8373 |
No log | 0.1404 | 8 | 2.3341 | 0.1642 | 2.3341 | 1.5278 |
No log | 0.1754 | 10 | 1.6780 | 0.2609 | 1.6780 | 1.2954 |
No log | 0.2105 | 12 | 1.6113 | 0.3415 | 1.6113 | 1.2694 |
No log | 0.2456 | 14 | 1.4977 | 0.2881 | 1.4977 | 1.2238 |
No log | 0.2807 | 16 | 1.4148 | 0.3186 | 1.4148 | 1.1895 |
No log | 0.3158 | 18 | 1.4438 | 0.2857 | 1.4438 | 1.2016 |
No log | 0.3509 | 20 | 1.6134 | 0.2712 | 1.6134 | 1.2702 |
No log | 0.3860 | 22 | 2.0392 | 0.2290 | 2.0392 | 1.4280 |
No log | 0.4211 | 24 | 2.2438 | 0.1277 | 2.2438 | 1.4979 |
No log | 0.4561 | 26 | 2.0222 | 0.2535 | 2.0222 | 1.4221 |
No log | 0.4912 | 28 | 1.4910 | 0.3770 | 1.4910 | 1.2211 |
No log | 0.5263 | 30 | 1.2963 | 0.4375 | 1.2963 | 1.1385 |
No log | 0.5614 | 32 | 1.4446 | 0.4348 | 1.4446 | 1.2019 |
No log | 0.5965 | 34 | 1.9517 | 0.3602 | 1.9517 | 1.3970 |
No log | 0.6316 | 36 | 1.8664 | 0.4156 | 1.8664 | 1.3661 |
No log | 0.6667 | 38 | 1.9441 | 0.3396 | 1.9441 | 1.3943 |
No log | 0.7018 | 40 | 2.2716 | 0.2703 | 2.2716 | 1.5072 |
No log | 0.7368 | 42 | 2.1771 | 0.2967 | 2.1771 | 1.4755 |
No log | 0.7719 | 44 | 2.0757 | 0.3523 | 2.0757 | 1.4407 |
No log | 0.8070 | 46 | 1.6857 | 0.4908 | 1.6857 | 1.2984 |
No log | 0.8421 | 48 | 1.1777 | 0.6087 | 1.1777 | 1.0852 |
No log | 0.8772 | 50 | 1.2544 | 0.625 | 1.2544 | 1.1200 |
No log | 0.9123 | 52 | 1.2065 | 0.6196 | 1.2065 | 1.0984 |
No log | 0.9474 | 54 | 0.9310 | 0.7368 | 0.9310 | 0.9649 |
No log | 0.9825 | 56 | 0.9072 | 0.6832 | 0.9072 | 0.9525 |
No log | 1.0175 | 58 | 1.0462 | 0.6144 | 1.0462 | 1.0228 |
No log | 1.0526 | 60 | 0.9409 | 0.6667 | 0.9409 | 0.9700 |
No log | 1.0877 | 62 | 0.8808 | 0.7 | 0.8808 | 0.9385 |
No log | 1.1228 | 64 | 0.7836 | 0.7389 | 0.7836 | 0.8852 |
No log | 1.1579 | 66 | 0.7350 | 0.7211 | 0.7350 | 0.8573 |
No log | 1.1930 | 68 | 0.7230 | 0.7211 | 0.7230 | 0.8503 |
No log | 1.2281 | 70 | 1.0334 | 0.6879 | 1.0334 | 1.0166 |
No log | 1.2632 | 72 | 1.2971 | 0.5679 | 1.2971 | 1.1389 |
No log | 1.2982 | 74 | 1.3005 | 0.5823 | 1.3005 | 1.1404 |
No log | 1.3333 | 76 | 0.9073 | 0.6711 | 0.9073 | 0.9525 |
No log | 1.3684 | 78 | 0.8090 | 0.7376 | 0.8090 | 0.8995 |
No log | 1.4035 | 80 | 0.9917 | 0.5954 | 0.9917 | 0.9959 |
No log | 1.4386 | 82 | 0.9844 | 0.6383 | 0.9844 | 0.9922 |
No log | 1.4737 | 84 | 1.1188 | 0.6056 | 1.1188 | 1.0577 |
No log | 1.5088 | 86 | 1.2515 | 0.5556 | 1.2515 | 1.1187 |
No log | 1.5439 | 88 | 1.1825 | 0.5765 | 1.1825 | 1.0874 |
No log | 1.5789 | 90 | 1.7593 | 0.5572 | 1.7593 | 1.3264 |
No log | 1.6140 | 92 | 2.0835 | 0.4977 | 2.0835 | 1.4434 |
No log | 1.6491 | 94 | 1.5068 | 0.6 | 1.5068 | 1.2275 |
No log | 1.6842 | 96 | 0.8941 | 0.7219 | 0.8941 | 0.9456 |
No log | 1.7193 | 98 | 0.8405 | 0.7261 | 0.8405 | 0.9168 |
No log | 1.7544 | 100 | 0.7725 | 0.7320 | 0.7725 | 0.8789 |
No log | 1.7895 | 102 | 0.8883 | 0.6667 | 0.8883 | 0.9425 |
No log | 1.8246 | 104 | 1.0062 | 0.6203 | 1.0062 | 1.0031 |
No log | 1.8596 | 106 | 1.0456 | 0.6194 | 1.0456 | 1.0225 |
No log | 1.8947 | 108 | 0.8241 | 0.6622 | 0.8241 | 0.9078 |
No log | 1.9298 | 110 | 0.6938 | 0.7586 | 0.6938 | 0.8330 |
No log | 1.9649 | 112 | 0.7265 | 0.7361 | 0.7265 | 0.8524 |
No log | 2.0 | 114 | 0.7167 | 0.7703 | 0.7167 | 0.8466 |
No log | 2.0351 | 116 | 0.7528 | 0.7381 | 0.7528 | 0.8677 |
No log | 2.0702 | 118 | 1.1389 | 0.6404 | 1.1389 | 1.0672 |
No log | 2.1053 | 120 | 1.3427 | 0.5889 | 1.3427 | 1.1587 |
No log | 2.1404 | 122 | 1.0594 | 0.6316 | 1.0594 | 1.0293 |
No log | 2.1754 | 124 | 0.7863 | 0.7643 | 0.7863 | 0.8867 |
No log | 2.2105 | 126 | 0.8462 | 0.7162 | 0.8462 | 0.9199 |
No log | 2.2456 | 128 | 0.8647 | 0.6846 | 0.8647 | 0.9299 |
No log | 2.2807 | 130 | 0.8147 | 0.7516 | 0.8147 | 0.9026 |
No log | 2.3158 | 132 | 0.8743 | 0.7143 | 0.8743 | 0.9351 |
No log | 2.3509 | 134 | 1.0170 | 0.6404 | 1.0170 | 1.0085 |
No log | 2.3860 | 136 | 0.9496 | 0.6919 | 0.9496 | 0.9745 |
No log | 2.4211 | 138 | 0.7594 | 0.7886 | 0.7594 | 0.8714 |
No log | 2.4561 | 140 | 0.6940 | 0.7545 | 0.6940 | 0.8330 |
No log | 2.4912 | 142 | 0.7558 | 0.7059 | 0.7558 | 0.8694 |
No log | 2.5263 | 144 | 0.7168 | 0.7067 | 0.7168 | 0.8466 |
No log | 2.5614 | 146 | 0.6771 | 0.7682 | 0.6771 | 0.8229 |
No log | 2.5965 | 148 | 0.6758 | 0.76 | 0.6758 | 0.8221 |
No log | 2.6316 | 150 | 0.7098 | 0.7703 | 0.7098 | 0.8425 |
No log | 2.6667 | 152 | 0.7199 | 0.7534 | 0.7199 | 0.8485 |
No log | 2.7018 | 154 | 0.6949 | 0.7651 | 0.6949 | 0.8336 |
No log | 2.7368 | 156 | 0.7448 | 0.7651 | 0.7448 | 0.8630 |
No log | 2.7719 | 158 | 0.7117 | 0.7733 | 0.7117 | 0.8437 |
No log | 2.8070 | 160 | 0.5989 | 0.7733 | 0.5989 | 0.7739 |
No log | 2.8421 | 162 | 0.6177 | 0.8132 | 0.6177 | 0.7859 |
No log | 2.8772 | 164 | 0.6793 | 0.8 | 0.6793 | 0.8242 |
No log | 2.9123 | 166 | 0.6272 | 0.8087 | 0.6272 | 0.7920 |
No log | 2.9474 | 168 | 0.6331 | 0.7927 | 0.6331 | 0.7957 |
No log | 2.9825 | 170 | 0.8834 | 0.6928 | 0.8834 | 0.9399 |
No log | 3.0175 | 172 | 0.9156 | 0.6533 | 0.9156 | 0.9569 |
No log | 3.0526 | 174 | 0.7389 | 0.7020 | 0.7389 | 0.8596 |
No log | 3.0877 | 176 | 0.5771 | 0.7875 | 0.5771 | 0.7597 |
No log | 3.1228 | 178 | 0.6446 | 0.8362 | 0.6446 | 0.8029 |
No log | 3.1579 | 180 | 0.6625 | 0.8070 | 0.6625 | 0.8139 |
No log | 3.1930 | 182 | 0.7043 | 0.8 | 0.7043 | 0.8392 |
No log | 3.2281 | 184 | 0.6803 | 0.7871 | 0.6803 | 0.8248 |
No log | 3.2632 | 186 | 0.7071 | 0.7815 | 0.7071 | 0.8409 |
No log | 3.2982 | 188 | 0.7253 | 0.7733 | 0.7253 | 0.8516 |
No log | 3.3333 | 190 | 0.6941 | 0.7733 | 0.6941 | 0.8332 |
No log | 3.3684 | 192 | 0.6640 | 0.7815 | 0.6640 | 0.8149 |
No log | 3.4035 | 194 | 0.6532 | 0.7632 | 0.6532 | 0.8082 |
No log | 3.4386 | 196 | 0.6668 | 0.7815 | 0.6668 | 0.8166 |
No log | 3.4737 | 198 | 0.7193 | 0.7671 | 0.7193 | 0.8481 |
No log | 3.5088 | 200 | 0.7688 | 0.7183 | 0.7688 | 0.8768 |
No log | 3.5439 | 202 | 0.7855 | 0.7183 | 0.7855 | 0.8863 |
No log | 3.5789 | 204 | 0.7424 | 0.7183 | 0.7424 | 0.8616 |
No log | 3.6140 | 206 | 0.6929 | 0.7632 | 0.6929 | 0.8324 |
No log | 3.6491 | 208 | 0.7495 | 0.7701 | 0.7495 | 0.8658 |
No log | 3.6842 | 210 | 0.6681 | 0.8023 | 0.6681 | 0.8173 |
No log | 3.7193 | 212 | 0.6232 | 0.7848 | 0.6232 | 0.7894 |
No log | 3.7544 | 214 | 0.6545 | 0.7516 | 0.6545 | 0.8090 |
No log | 3.7895 | 216 | 0.6338 | 0.7662 | 0.6338 | 0.7961 |
No log | 3.8246 | 218 | 0.6814 | 0.7895 | 0.6814 | 0.8255 |
No log | 3.8596 | 220 | 0.6966 | 0.7703 | 0.6966 | 0.8346 |
No log | 3.8947 | 222 | 0.6837 | 0.7785 | 0.6837 | 0.8269 |
No log | 3.9298 | 224 | 0.6744 | 0.7703 | 0.6744 | 0.8212 |
No log | 3.9649 | 226 | 0.6876 | 0.8050 | 0.6876 | 0.8292 |
No log | 4.0 | 228 | 0.7958 | 0.7574 | 0.7958 | 0.8921 |
No log | 4.0351 | 230 | 0.7685 | 0.7977 | 0.7685 | 0.8766 |
No log | 4.0702 | 232 | 0.6955 | 0.8047 | 0.6955 | 0.8339 |
No log | 4.1053 | 234 | 0.6580 | 0.7952 | 0.6580 | 0.8112 |
No log | 4.1404 | 236 | 0.6713 | 0.8 | 0.6713 | 0.8193 |
No log | 4.1754 | 238 | 0.7068 | 0.8249 | 0.7068 | 0.8407 |
No log | 4.2105 | 240 | 0.8478 | 0.7742 | 0.8478 | 0.9208 |
No log | 4.2456 | 242 | 0.8615 | 0.75 | 0.8615 | 0.9282 |
No log | 4.2807 | 244 | 0.7116 | 0.8 | 0.7116 | 0.8436 |
No log | 4.3158 | 246 | 0.6356 | 0.7925 | 0.6356 | 0.7973 |
No log | 4.3509 | 248 | 0.6635 | 0.7949 | 0.6635 | 0.8145 |
No log | 4.3860 | 250 | 0.7351 | 0.7907 | 0.7351 | 0.8574 |
No log | 4.4211 | 252 | 0.8628 | 0.7314 | 0.8628 | 0.9289 |
No log | 4.4561 | 254 | 0.8608 | 0.7386 | 0.8608 | 0.9278 |
No log | 4.4912 | 256 | 0.7108 | 0.7975 | 0.7108 | 0.8431 |
No log | 4.5263 | 258 | 0.7990 | 0.7333 | 0.7990 | 0.8939 |
No log | 4.5614 | 260 | 0.9727 | 0.6301 | 0.9727 | 0.9863 |
No log | 4.5965 | 262 | 0.9159 | 0.6483 | 0.9159 | 0.9570 |
No log | 4.6316 | 264 | 0.8434 | 0.7133 | 0.8434 | 0.9184 |
No log | 4.6667 | 266 | 0.8165 | 0.7517 | 0.8165 | 0.9036 |
No log | 4.7018 | 268 | 0.8003 | 0.7682 | 0.8003 | 0.8946 |
No log | 4.7368 | 270 | 0.7720 | 0.7712 | 0.7720 | 0.8786 |
No log | 4.7719 | 272 | 0.7102 | 0.7898 | 0.7102 | 0.8427 |
No log | 4.8070 | 274 | 0.6657 | 0.7925 | 0.6657 | 0.8159 |
No log | 4.8421 | 276 | 0.6404 | 0.7904 | 0.6404 | 0.8003 |
No log | 4.8772 | 278 | 0.7161 | 0.7892 | 0.7161 | 0.8462 |
No log | 4.9123 | 280 | 0.9313 | 0.7766 | 0.9313 | 0.9650 |
No log | 4.9474 | 282 | 1.1536 | 0.6333 | 1.1536 | 1.0741 |
No log | 4.9825 | 284 | 0.9897 | 0.6667 | 0.9897 | 0.9948 |
No log | 5.0175 | 286 | 0.6533 | 0.8229 | 0.6533 | 0.8083 |
No log | 5.0526 | 288 | 0.5864 | 0.7898 | 0.5864 | 0.7658 |
No log | 5.0877 | 290 | 0.6057 | 0.7922 | 0.6057 | 0.7783 |
No log | 5.1228 | 292 | 0.6525 | 0.7853 | 0.6525 | 0.8078 |
No log | 5.1579 | 294 | 0.7044 | 0.8140 | 0.7044 | 0.8393 |
No log | 5.1930 | 296 | 0.6802 | 0.8208 | 0.6802 | 0.8247 |
No log | 5.2281 | 298 | 0.6369 | 0.8171 | 0.6369 | 0.7981 |
No log | 5.2632 | 300 | 0.6495 | 0.8075 | 0.6495 | 0.8059 |
No log | 5.2982 | 302 | 0.6794 | 0.8125 | 0.6794 | 0.8242 |
No log | 5.3333 | 304 | 0.6934 | 0.8125 | 0.6934 | 0.8327 |
No log | 5.3684 | 306 | 0.6841 | 0.8098 | 0.6841 | 0.8271 |
No log | 5.4035 | 308 | 0.6917 | 0.7901 | 0.6917 | 0.8317 |
No log | 5.4386 | 310 | 0.6612 | 0.8024 | 0.6612 | 0.8131 |
No log | 5.4737 | 312 | 0.6761 | 0.8263 | 0.6761 | 0.8223 |
No log | 5.5088 | 314 | 0.7206 | 0.8087 | 0.7206 | 0.8489 |
No log | 5.5439 | 316 | 0.6927 | 0.8222 | 0.6927 | 0.8323 |
No log | 5.5789 | 318 | 0.6409 | 0.8161 | 0.6409 | 0.8005 |
No log | 5.6140 | 320 | 0.6697 | 0.8229 | 0.6697 | 0.8184 |
No log | 5.6491 | 322 | 0.6591 | 0.8214 | 0.6591 | 0.8119 |
No log | 5.6842 | 324 | 0.6367 | 0.7815 | 0.6367 | 0.7979 |
No log | 5.7193 | 326 | 0.6702 | 0.7347 | 0.6702 | 0.8187 |
No log | 5.7544 | 328 | 0.6619 | 0.7211 | 0.6619 | 0.8136 |
No log | 5.7895 | 330 | 0.6299 | 0.7211 | 0.6299 | 0.7937 |
No log | 5.8246 | 332 | 0.5852 | 0.8052 | 0.5852 | 0.7650 |
No log | 5.8596 | 334 | 0.6472 | 0.8140 | 0.6472 | 0.8045 |
No log | 5.8947 | 336 | 0.8815 | 0.6893 | 0.8815 | 0.9389 |
No log | 5.9298 | 338 | 0.9257 | 0.6705 | 0.9257 | 0.9621 |
No log | 5.9649 | 340 | 0.8771 | 0.7303 | 0.8771 | 0.9365 |
No log | 6.0 | 342 | 0.8005 | 0.7614 | 0.8005 | 0.8947 |
No log | 6.0351 | 344 | 0.7298 | 0.8070 | 0.7298 | 0.8543 |
No log | 6.0702 | 346 | 0.7388 | 0.7799 | 0.7388 | 0.8595 |
No log | 6.1053 | 348 | 0.7613 | 0.7742 | 0.7613 | 0.8725 |
No log | 6.1404 | 350 | 0.7935 | 0.7792 | 0.7935 | 0.8908 |
No log | 6.1754 | 352 | 0.8259 | 0.6897 | 0.8259 | 0.9088 |
No log | 6.2105 | 354 | 0.8393 | 0.6622 | 0.8393 | 0.9161 |
No log | 6.2456 | 356 | 0.8146 | 0.7134 | 0.8146 | 0.9025 |
No log | 6.2807 | 358 | 0.7268 | 0.7545 | 0.7268 | 0.8525 |
No log | 6.3158 | 360 | 0.6397 | 0.7784 | 0.6397 | 0.7998 |
No log | 6.3509 | 362 | 0.6175 | 0.7898 | 0.6175 | 0.7858 |
No log | 6.3860 | 364 | 0.6025 | 0.7898 | 0.6025 | 0.7762 |
No log | 6.4211 | 366 | 0.6197 | 0.7843 | 0.6197 | 0.7872 |
No log | 6.4561 | 368 | 0.6248 | 0.7712 | 0.6248 | 0.7904 |
No log | 6.4912 | 370 | 0.6317 | 0.7692 | 0.6317 | 0.7948 |
No log | 6.5263 | 372 | 0.6769 | 0.7742 | 0.6769 | 0.8227 |
No log | 6.5614 | 374 | 0.6645 | 0.7848 | 0.6645 | 0.8151 |
No log | 6.5965 | 376 | 0.6417 | 0.7848 | 0.6417 | 0.8010 |
No log | 6.6316 | 378 | 0.6335 | 0.7975 | 0.6335 | 0.7959 |
No log | 6.6667 | 380 | 0.6534 | 0.7647 | 0.6534 | 0.8084 |
No log | 6.7018 | 382 | 0.6813 | 0.7630 | 0.6813 | 0.8254 |
No log | 6.7368 | 384 | 0.7013 | 0.7574 | 0.7013 | 0.8374 |
No log | 6.7719 | 386 | 0.7293 | 0.7771 | 0.7293 | 0.8540 |
No log | 6.8070 | 388 | 0.7499 | 0.75 | 0.7499 | 0.8660 |
No log | 6.8421 | 390 | 0.7384 | 0.75 | 0.7384 | 0.8593 |
No log | 6.8772 | 392 | 0.7026 | 0.7550 | 0.7026 | 0.8382 |
No log | 6.9123 | 394 | 0.6674 | 0.7692 | 0.6674 | 0.8169 |
No log | 6.9474 | 396 | 0.6653 | 0.7910 | 0.6653 | 0.8156 |
No log | 6.9825 | 398 | 0.7364 | 0.7650 | 0.7364 | 0.8581 |
No log | 7.0175 | 400 | 0.8144 | 0.7568 | 0.8144 | 0.9025 |
No log | 7.0526 | 402 | 0.7325 | 0.8065 | 0.7325 | 0.8558 |
No log | 7.0877 | 404 | 0.6245 | 0.7933 | 0.6245 | 0.7902 |
No log | 7.1228 | 406 | 0.6155 | 0.7882 | 0.6155 | 0.7845 |
No log | 7.1579 | 408 | 0.6812 | 0.7977 | 0.6812 | 0.8254 |
No log | 7.1930 | 410 | 0.7847 | 0.7543 | 0.7847 | 0.8859 |
No log | 7.2281 | 412 | 0.8035 | 0.7356 | 0.8035 | 0.8964 |
No log | 7.2632 | 414 | 0.7366 | 0.7797 | 0.7366 | 0.8582 |
No log | 7.2982 | 416 | 0.6394 | 0.7904 | 0.6394 | 0.7997 |
No log | 7.3333 | 418 | 0.6254 | 0.7712 | 0.6254 | 0.7908 |
No log | 7.3684 | 420 | 0.6466 | 0.7792 | 0.6466 | 0.8041 |
No log | 7.4035 | 422 | 0.6619 | 0.7712 | 0.6619 | 0.8136 |
No log | 7.4386 | 424 | 0.7198 | 0.7738 | 0.7198 | 0.8484 |
No log | 7.4737 | 426 | 0.7867 | 0.7586 | 0.7867 | 0.8870 |
No log | 7.5088 | 428 | 0.7612 | 0.7442 | 0.7612 | 0.8725 |
No log | 7.5439 | 430 | 0.6963 | 0.7816 | 0.6963 | 0.8344 |
No log | 7.5789 | 432 | 0.6520 | 0.7595 | 0.6520 | 0.8075 |
No log | 7.6140 | 434 | 0.6403 | 0.7763 | 0.6403 | 0.8002 |
No log | 7.6491 | 436 | 0.6324 | 0.7763 | 0.6324 | 0.7952 |
No log | 7.6842 | 438 | 0.6296 | 0.7871 | 0.6296 | 0.7935 |
No log | 7.7193 | 440 | 0.6250 | 0.8 | 0.6250 | 0.7905 |
No log | 7.7544 | 442 | 0.6229 | 0.7746 | 0.6229 | 0.7893 |
No log | 7.7895 | 444 | 0.6506 | 0.7841 | 0.6506 | 0.8066 |
No log | 7.8246 | 446 | 0.6614 | 0.7841 | 0.6614 | 0.8133 |
No log | 7.8596 | 448 | 0.6847 | 0.7758 | 0.6847 | 0.8274 |
No log | 7.8947 | 450 | 0.7196 | 0.7342 | 0.7196 | 0.8483 |
No log | 7.9298 | 452 | 0.7389 | 0.7342 | 0.7389 | 0.8596 |
No log | 7.9649 | 454 | 0.7664 | 0.7578 | 0.7664 | 0.8754 |
No log | 8.0 | 456 | 0.7778 | 0.7625 | 0.7778 | 0.8819 |
No log | 8.0351 | 458 | 0.7552 | 0.7578 | 0.7552 | 0.8690 |
No log | 8.0702 | 460 | 0.7331 | 0.75 | 0.7331 | 0.8562 |
No log | 8.1053 | 462 | 0.7103 | 0.75 | 0.7103 | 0.8428 |
No log | 8.1404 | 464 | 0.6852 | 0.7305 | 0.6852 | 0.8278 |
No log | 8.1754 | 466 | 0.7057 | 0.8066 | 0.7057 | 0.8401 |
No log | 8.2105 | 468 | 0.7466 | 0.7892 | 0.7466 | 0.8641 |
No log | 8.2456 | 470 | 0.8440 | 0.7869 | 0.8440 | 0.9187 |
No log | 8.2807 | 472 | 0.7838 | 0.7869 | 0.7838 | 0.8853 |
No log | 8.3158 | 474 | 0.7188 | 0.7841 | 0.7188 | 0.8478 |
No log | 8.3509 | 476 | 0.7009 | 0.7532 | 0.7009 | 0.8372 |
No log | 8.3860 | 478 | 0.7314 | 0.7432 | 0.7314 | 0.8552 |
No log | 8.4211 | 480 | 0.7457 | 0.7397 | 0.7457 | 0.8635 |
No log | 8.4561 | 482 | 0.7646 | 0.7682 | 0.7646 | 0.8744 |
No log | 8.4912 | 484 | 0.7929 | 0.7742 | 0.7929 | 0.8905 |
No log | 8.5263 | 486 | 0.7915 | 0.7654 | 0.7915 | 0.8896 |
No log | 8.5614 | 488 | 0.7749 | 0.7778 | 0.7749 | 0.8803 |
No log | 8.5965 | 490 | 0.7607 | 0.7925 | 0.7607 | 0.8722 |
No log | 8.6316 | 492 | 0.7323 | 0.7792 | 0.7323 | 0.8557 |
No log | 8.6667 | 494 | 0.7075 | 0.7895 | 0.7075 | 0.8411 |
No log | 8.7018 | 496 | 0.6886 | 0.8025 | 0.6886 | 0.8298 |
No log | 8.7368 | 498 | 0.6817 | 0.8025 | 0.6817 | 0.8256 |
0.3556 | 8.7719 | 500 | 0.6827 | 0.8025 | 0.6827 | 0.8263 |
0.3556 | 8.8070 | 502 | 0.6870 | 0.8025 | 0.6870 | 0.8289 |
0.3556 | 8.8421 | 504 | 0.7012 | 0.7898 | 0.7012 | 0.8374 |
0.3556 | 8.8772 | 506 | 0.7114 | 0.7848 | 0.7114 | 0.8435 |
0.3556 | 8.9123 | 508 | 0.7044 | 0.7848 | 0.7044 | 0.8393 |
0.3556 | 8.9474 | 510 | 0.6998 | 0.7673 | 0.6998 | 0.8366 |
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/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k12_task1_organization
Base model
aubmindlab/bert-base-arabertv02