ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k9_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: 0.6220
- Qwk: 0.5031
- Mse: 0.6220
- Rmse: 0.7887
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 | 0.0426 | 2 | 4.2729 | -0.0091 | 4.2729 | 2.0671 |
No log | 0.0851 | 4 | 2.4493 | 0.0564 | 2.4493 | 1.5650 |
No log | 0.1277 | 6 | 1.9854 | 0.0984 | 1.9854 | 1.4090 |
No log | 0.1702 | 8 | 1.4098 | 0.0258 | 1.4098 | 1.1874 |
No log | 0.2128 | 10 | 0.9719 | -0.0104 | 0.9719 | 0.9859 |
No log | 0.2553 | 12 | 0.8737 | 0.0261 | 0.8737 | 0.9347 |
No log | 0.2979 | 14 | 0.8067 | 0.1977 | 0.8067 | 0.8982 |
No log | 0.3404 | 16 | 0.7916 | 0.1797 | 0.7916 | 0.8897 |
No log | 0.3830 | 18 | 0.8956 | 0.1610 | 0.8956 | 0.9464 |
No log | 0.4255 | 20 | 1.2100 | 0.0469 | 1.2100 | 1.1000 |
No log | 0.4681 | 22 | 1.2783 | 0.0262 | 1.2783 | 1.1306 |
No log | 0.5106 | 24 | 1.3993 | 0.0514 | 1.3993 | 1.1829 |
No log | 0.5532 | 26 | 1.2659 | 0.0 | 1.2659 | 1.1251 |
No log | 0.5957 | 28 | 1.2265 | 0.0 | 1.2265 | 1.1075 |
No log | 0.6383 | 30 | 0.9824 | 0.1339 | 0.9824 | 0.9912 |
No log | 0.6809 | 32 | 0.7797 | 0.2659 | 0.7797 | 0.8830 |
No log | 0.7234 | 34 | 0.7165 | 0.3278 | 0.7165 | 0.8465 |
No log | 0.7660 | 36 | 0.7520 | 0.2769 | 0.7520 | 0.8672 |
No log | 0.8085 | 38 | 0.7351 | 0.3431 | 0.7351 | 0.8574 |
No log | 0.8511 | 40 | 0.8688 | 0.2609 | 0.8688 | 0.9321 |
No log | 0.8936 | 42 | 1.1098 | 0.0924 | 1.1098 | 1.0535 |
No log | 0.9362 | 44 | 1.2935 | 0.1395 | 1.2935 | 1.1373 |
No log | 0.9787 | 46 | 1.3851 | 0.1429 | 1.3851 | 1.1769 |
No log | 1.0213 | 48 | 1.1903 | 0.1495 | 1.1903 | 1.0910 |
No log | 1.0638 | 50 | 0.9889 | 0.1954 | 0.9889 | 0.9944 |
No log | 1.1064 | 52 | 0.8813 | 0.2772 | 0.8813 | 0.9388 |
No log | 1.1489 | 54 | 0.8244 | 0.2850 | 0.8244 | 0.9080 |
No log | 1.1915 | 56 | 0.8478 | 0.2919 | 0.8478 | 0.9208 |
No log | 1.2340 | 58 | 1.2281 | 0.3278 | 1.2281 | 1.1082 |
No log | 1.2766 | 60 | 1.7780 | 0.1983 | 1.7780 | 1.3334 |
No log | 1.3191 | 62 | 1.8522 | 0.2012 | 1.8522 | 1.3610 |
No log | 1.3617 | 64 | 1.5459 | 0.2361 | 1.5459 | 1.2433 |
No log | 1.4043 | 66 | 0.9551 | 0.3570 | 0.9551 | 0.9773 |
No log | 1.4468 | 68 | 0.7083 | 0.4410 | 0.7083 | 0.8416 |
No log | 1.4894 | 70 | 0.7142 | 0.4324 | 0.7142 | 0.8451 |
No log | 1.5319 | 72 | 0.7339 | 0.4324 | 0.7339 | 0.8567 |
No log | 1.5745 | 74 | 0.7664 | 0.4290 | 0.7664 | 0.8755 |
No log | 1.6170 | 76 | 0.7347 | 0.4431 | 0.7347 | 0.8571 |
No log | 1.6596 | 78 | 0.7028 | 0.4114 | 0.7028 | 0.8383 |
No log | 1.7021 | 80 | 0.7740 | 0.3139 | 0.7740 | 0.8798 |
No log | 1.7447 | 82 | 0.8599 | 0.2686 | 0.8599 | 0.9273 |
No log | 1.7872 | 84 | 0.8692 | 0.2792 | 0.8692 | 0.9323 |
No log | 1.8298 | 86 | 0.7788 | 0.3226 | 0.7788 | 0.8825 |
No log | 1.8723 | 88 | 0.7680 | 0.3447 | 0.7680 | 0.8763 |
No log | 1.9149 | 90 | 0.7179 | 0.4563 | 0.7179 | 0.8473 |
No log | 1.9574 | 92 | 0.6748 | 0.4495 | 0.6748 | 0.8214 |
No log | 2.0 | 94 | 0.6589 | 0.4634 | 0.6589 | 0.8117 |
No log | 2.0426 | 96 | 0.7380 | 0.4222 | 0.7380 | 0.8591 |
No log | 2.0851 | 98 | 0.7640 | 0.3874 | 0.7640 | 0.8741 |
No log | 2.1277 | 100 | 0.7341 | 0.4633 | 0.7341 | 0.8568 |
No log | 2.1702 | 102 | 0.8039 | 0.4086 | 0.8039 | 0.8966 |
No log | 2.2128 | 104 | 0.6840 | 0.4708 | 0.6840 | 0.8270 |
No log | 2.2553 | 106 | 0.6802 | 0.4862 | 0.6802 | 0.8247 |
No log | 2.2979 | 108 | 0.6953 | 0.4883 | 0.6953 | 0.8339 |
No log | 2.3404 | 110 | 0.7035 | 0.4890 | 0.7035 | 0.8387 |
No log | 2.3830 | 112 | 0.7881 | 0.4242 | 0.7881 | 0.8877 |
No log | 2.4255 | 114 | 0.8346 | 0.4260 | 0.8346 | 0.9136 |
No log | 2.4681 | 116 | 0.7795 | 0.4997 | 0.7795 | 0.8829 |
No log | 2.5106 | 118 | 0.7477 | 0.5095 | 0.7477 | 0.8647 |
No log | 2.5532 | 120 | 0.8223 | 0.4572 | 0.8223 | 0.9068 |
No log | 2.5957 | 122 | 0.9468 | 0.4344 | 0.9468 | 0.9730 |
No log | 2.6383 | 124 | 1.0364 | 0.4241 | 1.0364 | 1.0181 |
No log | 2.6809 | 126 | 1.1443 | 0.3943 | 1.1443 | 1.0697 |
No log | 2.7234 | 128 | 1.0194 | 0.4053 | 1.0194 | 1.0097 |
No log | 2.7660 | 130 | 0.8134 | 0.4502 | 0.8134 | 0.9019 |
No log | 2.8085 | 132 | 0.7468 | 0.4689 | 0.7468 | 0.8642 |
No log | 2.8511 | 134 | 0.6996 | 0.5201 | 0.6996 | 0.8364 |
No log | 2.8936 | 136 | 0.6836 | 0.4790 | 0.6836 | 0.8268 |
No log | 2.9362 | 138 | 0.6940 | 0.4532 | 0.6940 | 0.8330 |
No log | 2.9787 | 140 | 0.6894 | 0.4587 | 0.6894 | 0.8303 |
No log | 3.0213 | 142 | 0.7001 | 0.4587 | 0.7001 | 0.8367 |
No log | 3.0638 | 144 | 0.7240 | 0.4557 | 0.7240 | 0.8509 |
No log | 3.1064 | 146 | 0.7773 | 0.4173 | 0.7773 | 0.8816 |
No log | 3.1489 | 148 | 0.8353 | 0.4327 | 0.8353 | 0.9139 |
No log | 3.1915 | 150 | 0.8355 | 0.4228 | 0.8355 | 0.9140 |
No log | 3.2340 | 152 | 0.7437 | 0.4602 | 0.7437 | 0.8624 |
No log | 3.2766 | 154 | 0.7600 | 0.4315 | 0.7600 | 0.8718 |
No log | 3.3191 | 156 | 0.8410 | 0.3950 | 0.8410 | 0.9171 |
No log | 3.3617 | 158 | 0.7785 | 0.3860 | 0.7785 | 0.8823 |
No log | 3.4043 | 160 | 0.6663 | 0.4240 | 0.6663 | 0.8162 |
No log | 3.4468 | 162 | 0.6523 | 0.4531 | 0.6523 | 0.8077 |
No log | 3.4894 | 164 | 0.7148 | 0.4755 | 0.7148 | 0.8455 |
No log | 3.5319 | 166 | 0.8954 | 0.4714 | 0.8954 | 0.9462 |
No log | 3.5745 | 168 | 1.0368 | 0.4060 | 1.0368 | 1.0182 |
No log | 3.6170 | 170 | 1.0616 | 0.4124 | 1.0616 | 1.0304 |
No log | 3.6596 | 172 | 1.0842 | 0.4062 | 1.0842 | 1.0413 |
No log | 3.7021 | 174 | 0.8773 | 0.4411 | 0.8773 | 0.9366 |
No log | 3.7447 | 176 | 0.7011 | 0.5299 | 0.7011 | 0.8373 |
No log | 3.7872 | 178 | 0.6652 | 0.5082 | 0.6652 | 0.8156 |
No log | 3.8298 | 180 | 0.6894 | 0.5482 | 0.6894 | 0.8303 |
No log | 3.8723 | 182 | 0.6861 | 0.5405 | 0.6861 | 0.8283 |
No log | 3.9149 | 184 | 0.7020 | 0.5556 | 0.7020 | 0.8379 |
No log | 3.9574 | 186 | 0.7290 | 0.4896 | 0.7290 | 0.8538 |
No log | 4.0 | 188 | 0.7216 | 0.4674 | 0.7216 | 0.8495 |
No log | 4.0426 | 190 | 0.6787 | 0.5078 | 0.6787 | 0.8238 |
No log | 4.0851 | 192 | 0.6666 | 0.5141 | 0.6666 | 0.8165 |
No log | 4.1277 | 194 | 0.7076 | 0.4789 | 0.7076 | 0.8412 |
No log | 4.1702 | 196 | 0.6865 | 0.5196 | 0.6865 | 0.8286 |
No log | 4.2128 | 198 | 0.6570 | 0.5311 | 0.6570 | 0.8106 |
No log | 4.2553 | 200 | 0.7025 | 0.4737 | 0.7025 | 0.8382 |
No log | 4.2979 | 202 | 0.8629 | 0.4276 | 0.8629 | 0.9289 |
No log | 4.3404 | 204 | 0.9039 | 0.4152 | 0.9039 | 0.9507 |
No log | 4.3830 | 206 | 0.8206 | 0.4459 | 0.8206 | 0.9059 |
No log | 4.4255 | 208 | 0.7428 | 0.5196 | 0.7428 | 0.8619 |
No log | 4.4681 | 210 | 0.6923 | 0.4958 | 0.6923 | 0.8321 |
No log | 4.5106 | 212 | 0.6877 | 0.4834 | 0.6877 | 0.8293 |
No log | 4.5532 | 214 | 0.7000 | 0.4949 | 0.7000 | 0.8367 |
No log | 4.5957 | 216 | 0.8042 | 0.4049 | 0.8042 | 0.8968 |
No log | 4.6383 | 218 | 0.9265 | 0.3856 | 0.9265 | 0.9625 |
No log | 4.6809 | 220 | 0.9679 | 0.4033 | 0.9679 | 0.9838 |
No log | 4.7234 | 222 | 0.9097 | 0.4250 | 0.9097 | 0.9538 |
No log | 4.7660 | 224 | 0.8253 | 0.4720 | 0.8253 | 0.9085 |
No log | 4.8085 | 226 | 0.8147 | 0.4735 | 0.8147 | 0.9026 |
No log | 4.8511 | 228 | 0.8962 | 0.4576 | 0.8962 | 0.9467 |
No log | 4.8936 | 230 | 1.0199 | 0.4479 | 1.0199 | 1.0099 |
No log | 4.9362 | 232 | 1.0190 | 0.4664 | 1.0190 | 1.0095 |
No log | 4.9787 | 234 | 0.8215 | 0.5202 | 0.8215 | 0.9063 |
No log | 5.0213 | 236 | 0.6911 | 0.5555 | 0.6911 | 0.8313 |
No log | 5.0638 | 238 | 0.6523 | 0.4927 | 0.6523 | 0.8077 |
No log | 5.1064 | 240 | 0.6834 | 0.4845 | 0.6834 | 0.8267 |
No log | 5.1489 | 242 | 0.7690 | 0.5384 | 0.7690 | 0.8769 |
No log | 5.1915 | 244 | 0.9164 | 0.4393 | 0.9164 | 0.9573 |
No log | 5.2340 | 246 | 0.8709 | 0.4233 | 0.8709 | 0.9332 |
No log | 5.2766 | 248 | 0.7602 | 0.4879 | 0.7602 | 0.8719 |
No log | 5.3191 | 250 | 0.6960 | 0.5324 | 0.6960 | 0.8342 |
No log | 5.3617 | 252 | 0.6561 | 0.5490 | 0.6561 | 0.8100 |
No log | 5.4043 | 254 | 0.6128 | 0.5193 | 0.6128 | 0.7828 |
No log | 5.4468 | 256 | 0.6010 | 0.5138 | 0.6010 | 0.7753 |
No log | 5.4894 | 258 | 0.5972 | 0.5433 | 0.5972 | 0.7728 |
No log | 5.5319 | 260 | 0.5778 | 0.5451 | 0.5778 | 0.7601 |
No log | 5.5745 | 262 | 0.6018 | 0.5438 | 0.6018 | 0.7758 |
No log | 5.6170 | 264 | 0.6364 | 0.5357 | 0.6364 | 0.7977 |
No log | 5.6596 | 266 | 0.6502 | 0.5368 | 0.6502 | 0.8064 |
No log | 5.7021 | 268 | 0.6630 | 0.5445 | 0.6630 | 0.8142 |
No log | 5.7447 | 270 | 0.6989 | 0.5069 | 0.6989 | 0.8360 |
No log | 5.7872 | 272 | 0.6985 | 0.5302 | 0.6985 | 0.8358 |
No log | 5.8298 | 274 | 0.6813 | 0.5508 | 0.6813 | 0.8254 |
No log | 5.8723 | 276 | 0.6803 | 0.5675 | 0.6803 | 0.8248 |
No log | 5.9149 | 278 | 0.6697 | 0.5297 | 0.6697 | 0.8184 |
No log | 5.9574 | 280 | 0.6411 | 0.5032 | 0.6411 | 0.8007 |
No log | 6.0 | 282 | 0.6157 | 0.5041 | 0.6157 | 0.7847 |
No log | 6.0426 | 284 | 0.5912 | 0.5641 | 0.5912 | 0.7689 |
No log | 6.0851 | 286 | 0.6137 | 0.5075 | 0.6137 | 0.7834 |
No log | 6.1277 | 288 | 0.6690 | 0.5151 | 0.6690 | 0.8179 |
No log | 6.1702 | 290 | 0.6608 | 0.5164 | 0.6608 | 0.8129 |
No log | 6.2128 | 292 | 0.6207 | 0.5266 | 0.6207 | 0.7878 |
No log | 6.2553 | 294 | 0.6788 | 0.4859 | 0.6788 | 0.8239 |
No log | 6.2979 | 296 | 0.7775 | 0.4352 | 0.7775 | 0.8818 |
No log | 6.3404 | 298 | 0.7445 | 0.4461 | 0.7445 | 0.8628 |
No log | 6.3830 | 300 | 0.6474 | 0.5155 | 0.6474 | 0.8046 |
No log | 6.4255 | 302 | 0.6260 | 0.5200 | 0.6260 | 0.7912 |
No log | 6.4681 | 304 | 0.6910 | 0.5018 | 0.6910 | 0.8313 |
No log | 6.5106 | 306 | 0.6950 | 0.5006 | 0.6950 | 0.8337 |
No log | 6.5532 | 308 | 0.6496 | 0.5789 | 0.6496 | 0.8060 |
No log | 6.5957 | 310 | 0.6443 | 0.5073 | 0.6443 | 0.8027 |
No log | 6.6383 | 312 | 0.7282 | 0.4467 | 0.7282 | 0.8534 |
No log | 6.6809 | 314 | 0.7840 | 0.4139 | 0.7840 | 0.8854 |
No log | 6.7234 | 316 | 0.7525 | 0.4079 | 0.7525 | 0.8675 |
No log | 6.7660 | 318 | 0.6904 | 0.5042 | 0.6904 | 0.8309 |
No log | 6.8085 | 320 | 0.6610 | 0.5120 | 0.6610 | 0.8130 |
No log | 6.8511 | 322 | 0.6564 | 0.5233 | 0.6564 | 0.8102 |
No log | 6.8936 | 324 | 0.6610 | 0.5233 | 0.6610 | 0.8130 |
No log | 6.9362 | 326 | 0.6606 | 0.5067 | 0.6606 | 0.8128 |
No log | 6.9787 | 328 | 0.7031 | 0.4925 | 0.7031 | 0.8385 |
No log | 7.0213 | 330 | 0.7821 | 0.4390 | 0.7821 | 0.8844 |
No log | 7.0638 | 332 | 0.7948 | 0.4273 | 0.7948 | 0.8915 |
No log | 7.1064 | 334 | 0.7614 | 0.4515 | 0.7614 | 0.8726 |
No log | 7.1489 | 336 | 0.6897 | 0.5598 | 0.6897 | 0.8305 |
No log | 7.1915 | 338 | 0.6732 | 0.5535 | 0.6732 | 0.8205 |
No log | 7.2340 | 340 | 0.6605 | 0.5303 | 0.6605 | 0.8127 |
No log | 7.2766 | 342 | 0.6523 | 0.5087 | 0.6523 | 0.8077 |
No log | 7.3191 | 344 | 0.6915 | 0.4971 | 0.6915 | 0.8316 |
No log | 7.3617 | 346 | 0.7260 | 0.4728 | 0.7260 | 0.8520 |
No log | 7.4043 | 348 | 0.7592 | 0.4646 | 0.7592 | 0.8713 |
No log | 7.4468 | 350 | 0.7441 | 0.4980 | 0.7441 | 0.8626 |
No log | 7.4894 | 352 | 0.6598 | 0.5743 | 0.6598 | 0.8123 |
No log | 7.5319 | 354 | 0.6532 | 0.6019 | 0.6532 | 0.8082 |
No log | 7.5745 | 356 | 0.6517 | 0.6019 | 0.6517 | 0.8073 |
No log | 7.6170 | 358 | 0.6458 | 0.5392 | 0.6458 | 0.8036 |
No log | 7.6596 | 360 | 0.6432 | 0.5193 | 0.6432 | 0.8020 |
No log | 7.7021 | 362 | 0.6289 | 0.5063 | 0.6289 | 0.7930 |
No log | 7.7447 | 364 | 0.6182 | 0.5199 | 0.6182 | 0.7863 |
No log | 7.7872 | 366 | 0.6138 | 0.5364 | 0.6138 | 0.7835 |
No log | 7.8298 | 368 | 0.6132 | 0.5153 | 0.6132 | 0.7831 |
No log | 7.8723 | 370 | 0.6074 | 0.5138 | 0.6074 | 0.7793 |
No log | 7.9149 | 372 | 0.6163 | 0.5462 | 0.6163 | 0.7851 |
No log | 7.9574 | 374 | 0.5917 | 0.4914 | 0.5917 | 0.7692 |
No log | 8.0 | 376 | 0.5865 | 0.5314 | 0.5865 | 0.7658 |
No log | 8.0426 | 378 | 0.5911 | 0.5525 | 0.5911 | 0.7688 |
No log | 8.0851 | 380 | 0.5998 | 0.5668 | 0.5998 | 0.7745 |
No log | 8.1277 | 382 | 0.6350 | 0.5376 | 0.6350 | 0.7969 |
No log | 8.1702 | 384 | 0.7261 | 0.5096 | 0.7261 | 0.8521 |
No log | 8.2128 | 386 | 0.7495 | 0.4927 | 0.7495 | 0.8657 |
No log | 8.2553 | 388 | 0.6849 | 0.53 | 0.6849 | 0.8276 |
No log | 8.2979 | 390 | 0.6284 | 0.5282 | 0.6284 | 0.7927 |
No log | 8.3404 | 392 | 0.6234 | 0.5450 | 0.6234 | 0.7896 |
No log | 8.3830 | 394 | 0.6281 | 0.5024 | 0.6281 | 0.7925 |
No log | 8.4255 | 396 | 0.6481 | 0.4707 | 0.6481 | 0.8050 |
No log | 8.4681 | 398 | 0.6900 | 0.4341 | 0.6900 | 0.8307 |
No log | 8.5106 | 400 | 0.7158 | 0.4233 | 0.7158 | 0.8461 |
No log | 8.5532 | 402 | 0.6765 | 0.4454 | 0.6765 | 0.8225 |
No log | 8.5957 | 404 | 0.6934 | 0.4654 | 0.6934 | 0.8327 |
No log | 8.6383 | 406 | 0.6858 | 0.4483 | 0.6858 | 0.8282 |
No log | 8.6809 | 408 | 0.6912 | 0.4736 | 0.6912 | 0.8314 |
No log | 8.7234 | 410 | 0.7168 | 0.4283 | 0.7168 | 0.8467 |
No log | 8.7660 | 412 | 0.7677 | 0.4716 | 0.7677 | 0.8762 |
No log | 8.8085 | 414 | 0.7809 | 0.4608 | 0.7809 | 0.8837 |
No log | 8.8511 | 416 | 0.7194 | 0.4349 | 0.7194 | 0.8482 |
No log | 8.8936 | 418 | 0.6579 | 0.4729 | 0.6579 | 0.8111 |
No log | 8.9362 | 420 | 0.6356 | 0.4705 | 0.6356 | 0.7973 |
No log | 8.9787 | 422 | 0.6317 | 0.4945 | 0.6317 | 0.7948 |
No log | 9.0213 | 424 | 0.6511 | 0.4880 | 0.6511 | 0.8069 |
No log | 9.0638 | 426 | 0.6999 | 0.4394 | 0.6999 | 0.8366 |
No log | 9.1064 | 428 | 0.7213 | 0.4333 | 0.7213 | 0.8493 |
No log | 9.1489 | 430 | 0.7454 | 0.4515 | 0.7454 | 0.8634 |
No log | 9.1915 | 432 | 0.7435 | 0.4696 | 0.7435 | 0.8622 |
No log | 9.2340 | 434 | 0.7584 | 0.4566 | 0.7584 | 0.8708 |
No log | 9.2766 | 436 | 0.7714 | 0.4628 | 0.7714 | 0.8783 |
No log | 9.3191 | 438 | 0.7728 | 0.4663 | 0.7728 | 0.8791 |
No log | 9.3617 | 440 | 0.7354 | 0.5214 | 0.7354 | 0.8575 |
No log | 9.4043 | 442 | 0.7196 | 0.5610 | 0.7196 | 0.8483 |
No log | 9.4468 | 444 | 0.7370 | 0.5595 | 0.7370 | 0.8585 |
No log | 9.4894 | 446 | 0.8053 | 0.4778 | 0.8053 | 0.8974 |
No log | 9.5319 | 448 | 0.9010 | 0.4228 | 0.9010 | 0.9492 |
No log | 9.5745 | 450 | 0.9405 | 0.3814 | 0.9405 | 0.9698 |
No log | 9.6170 | 452 | 0.9676 | 0.3869 | 0.9676 | 0.9837 |
No log | 9.6596 | 454 | 0.8391 | 0.4495 | 0.8391 | 0.9160 |
No log | 9.7021 | 456 | 0.6732 | 0.4474 | 0.6732 | 0.8205 |
No log | 9.7447 | 458 | 0.6078 | 0.4992 | 0.6078 | 0.7796 |
No log | 9.7872 | 460 | 0.6010 | 0.4952 | 0.6010 | 0.7752 |
No log | 9.8298 | 462 | 0.6021 | 0.4952 | 0.6021 | 0.7760 |
No log | 9.8723 | 464 | 0.6207 | 0.4512 | 0.6207 | 0.7878 |
No log | 9.9149 | 466 | 0.6326 | 0.4577 | 0.6326 | 0.7954 |
No log | 9.9574 | 468 | 0.6256 | 0.4716 | 0.6256 | 0.7910 |
No log | 10.0 | 470 | 0.6330 | 0.4477 | 0.6330 | 0.7956 |
No log | 10.0426 | 472 | 0.6544 | 0.4820 | 0.6544 | 0.8090 |
No log | 10.0851 | 474 | 0.7100 | 0.5237 | 0.7100 | 0.8426 |
No log | 10.1277 | 476 | 0.7719 | 0.5585 | 0.7719 | 0.8786 |
No log | 10.1702 | 478 | 0.8097 | 0.5575 | 0.8097 | 0.8998 |
No log | 10.2128 | 480 | 0.8143 | 0.5575 | 0.8143 | 0.9024 |
No log | 10.2553 | 482 | 0.7374 | 0.5638 | 0.7374 | 0.8587 |
No log | 10.2979 | 484 | 0.7128 | 0.5414 | 0.7128 | 0.8443 |
No log | 10.3404 | 486 | 0.6929 | 0.5324 | 0.6929 | 0.8324 |
No log | 10.3830 | 488 | 0.6502 | 0.5069 | 0.6502 | 0.8063 |
No log | 10.4255 | 490 | 0.6540 | 0.53 | 0.6540 | 0.8087 |
No log | 10.4681 | 492 | 0.6529 | 0.5447 | 0.6529 | 0.8081 |
No log | 10.5106 | 494 | 0.6134 | 0.5454 | 0.6134 | 0.7832 |
No log | 10.5532 | 496 | 0.5886 | 0.5665 | 0.5886 | 0.7672 |
No log | 10.5957 | 498 | 0.5886 | 0.5368 | 0.5886 | 0.7672 |
0.3691 | 10.6383 | 500 | 0.6029 | 0.5386 | 0.6029 | 0.7765 |
0.3691 | 10.6809 | 502 | 0.5783 | 0.5191 | 0.5783 | 0.7605 |
0.3691 | 10.7234 | 504 | 0.5645 | 0.5147 | 0.5645 | 0.7513 |
0.3691 | 10.7660 | 506 | 0.5786 | 0.5433 | 0.5786 | 0.7607 |
0.3691 | 10.8085 | 508 | 0.5745 | 0.5251 | 0.5745 | 0.7580 |
0.3691 | 10.8511 | 510 | 0.5761 | 0.4971 | 0.5761 | 0.7590 |
0.3691 | 10.8936 | 512 | 0.5901 | 0.4862 | 0.5901 | 0.7682 |
0.3691 | 10.9362 | 514 | 0.6031 | 0.4824 | 0.6031 | 0.7766 |
0.3691 | 10.9787 | 516 | 0.6220 | 0.5031 | 0.6220 | 0.7887 |
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_run3_AugV5_k9_task2_organization
Base model
aubmindlab/bert-base-arabertv02