ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k18_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: 0.7781
- Qwk: 0.4746
- Mse: 0.7781
- Rmse: 0.8821
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 | 0.0196 | 2 | 4.8267 | 0.0010 | 4.8267 | 2.1970 |
| No log | 0.0392 | 4 | 2.9287 | 0.0169 | 2.9287 | 1.7114 |
| No log | 0.0588 | 6 | 1.9113 | 0.1273 | 1.9113 | 1.3825 |
| No log | 0.0784 | 8 | 1.3324 | -0.0284 | 1.3324 | 1.1543 |
| No log | 0.0980 | 10 | 1.2287 | 0.2386 | 1.2287 | 1.1085 |
| No log | 0.1176 | 12 | 1.0895 | 0.3965 | 1.0895 | 1.0438 |
| No log | 0.1373 | 14 | 1.0169 | 0.3570 | 1.0169 | 1.0084 |
| No log | 0.1569 | 16 | 1.0387 | 0.3291 | 1.0387 | 1.0191 |
| No log | 0.1765 | 18 | 1.0551 | 0.3256 | 1.0551 | 1.0272 |
| No log | 0.1961 | 20 | 1.0956 | 0.2750 | 1.0956 | 1.0467 |
| No log | 0.2157 | 22 | 1.1400 | 0.1832 | 1.1400 | 1.0677 |
| No log | 0.2353 | 24 | 0.9812 | 0.3756 | 0.9812 | 0.9906 |
| No log | 0.2549 | 26 | 1.1499 | 0.2704 | 1.1499 | 1.0723 |
| No log | 0.2745 | 28 | 1.0707 | 0.3747 | 1.0707 | 1.0348 |
| No log | 0.2941 | 30 | 0.9352 | 0.5094 | 0.9352 | 0.9670 |
| No log | 0.3137 | 32 | 0.9502 | 0.5498 | 0.9502 | 0.9748 |
| No log | 0.3333 | 34 | 0.9076 | 0.5523 | 0.9076 | 0.9527 |
| No log | 0.3529 | 36 | 0.9396 | 0.5585 | 0.9396 | 0.9693 |
| No log | 0.3725 | 38 | 1.0534 | 0.4337 | 1.0534 | 1.0263 |
| No log | 0.3922 | 40 | 0.9858 | 0.5383 | 0.9858 | 0.9929 |
| No log | 0.4118 | 42 | 0.8990 | 0.5896 | 0.8990 | 0.9482 |
| No log | 0.4314 | 44 | 0.8994 | 0.6041 | 0.8994 | 0.9484 |
| No log | 0.4510 | 46 | 0.8786 | 0.5902 | 0.8786 | 0.9373 |
| No log | 0.4706 | 48 | 0.8886 | 0.6016 | 0.8886 | 0.9426 |
| No log | 0.4902 | 50 | 1.1952 | 0.3317 | 1.1952 | 1.0933 |
| No log | 0.5098 | 52 | 1.7262 | 0.3347 | 1.7262 | 1.3138 |
| No log | 0.5294 | 54 | 1.6498 | 0.3355 | 1.6498 | 1.2844 |
| No log | 0.5490 | 56 | 1.1623 | 0.2940 | 1.1623 | 1.0781 |
| No log | 0.5686 | 58 | 0.9326 | 0.5168 | 0.9326 | 0.9657 |
| No log | 0.5882 | 60 | 1.1874 | 0.5040 | 1.1874 | 1.0897 |
| No log | 0.6078 | 62 | 1.0922 | 0.5065 | 1.0922 | 1.0451 |
| No log | 0.6275 | 64 | 0.8749 | 0.4676 | 0.8749 | 0.9353 |
| No log | 0.6471 | 66 | 1.0034 | 0.3339 | 1.0034 | 1.0017 |
| No log | 0.6667 | 68 | 1.1652 | 0.2341 | 1.1652 | 1.0795 |
| No log | 0.6863 | 70 | 1.0107 | 0.4191 | 1.0107 | 1.0053 |
| No log | 0.7059 | 72 | 0.8280 | 0.4852 | 0.8280 | 0.9100 |
| No log | 0.7255 | 74 | 0.9107 | 0.5276 | 0.9107 | 0.9543 |
| No log | 0.7451 | 76 | 1.0730 | 0.4851 | 1.0730 | 1.0359 |
| No log | 0.7647 | 78 | 0.9580 | 0.5398 | 0.9580 | 0.9788 |
| No log | 0.7843 | 80 | 0.7987 | 0.6216 | 0.7987 | 0.8937 |
| No log | 0.8039 | 82 | 0.9054 | 0.5164 | 0.9054 | 0.9515 |
| No log | 0.8235 | 84 | 0.9964 | 0.4567 | 0.9964 | 0.9982 |
| No log | 0.8431 | 86 | 0.8574 | 0.4964 | 0.8574 | 0.9260 |
| No log | 0.8627 | 88 | 0.8107 | 0.5997 | 0.8107 | 0.9004 |
| No log | 0.8824 | 90 | 1.0086 | 0.5298 | 1.0086 | 1.0043 |
| No log | 0.9020 | 92 | 1.0027 | 0.5491 | 1.0027 | 1.0013 |
| No log | 0.9216 | 94 | 0.8505 | 0.5498 | 0.8505 | 0.9222 |
| No log | 0.9412 | 96 | 0.8687 | 0.4582 | 0.8687 | 0.9321 |
| No log | 0.9608 | 98 | 0.8999 | 0.4794 | 0.8999 | 0.9486 |
| No log | 0.9804 | 100 | 0.8252 | 0.5958 | 0.8252 | 0.9084 |
| No log | 1.0 | 102 | 0.9826 | 0.5617 | 0.9826 | 0.9913 |
| No log | 1.0196 | 104 | 1.0973 | 0.5264 | 1.0973 | 1.0475 |
| No log | 1.0392 | 106 | 1.0025 | 0.5802 | 1.0025 | 1.0013 |
| No log | 1.0588 | 108 | 0.8115 | 0.6060 | 0.8115 | 0.9008 |
| No log | 1.0784 | 110 | 0.8085 | 0.6327 | 0.8085 | 0.8992 |
| No log | 1.0980 | 112 | 0.8104 | 0.6029 | 0.8104 | 0.9002 |
| No log | 1.1176 | 114 | 0.8717 | 0.5977 | 0.8717 | 0.9336 |
| No log | 1.1373 | 116 | 0.8501 | 0.5977 | 0.8501 | 0.9220 |
| No log | 1.1569 | 118 | 0.8095 | 0.5855 | 0.8095 | 0.8997 |
| No log | 1.1765 | 120 | 0.7794 | 0.6192 | 0.7794 | 0.8829 |
| No log | 1.1961 | 122 | 0.7840 | 0.5838 | 0.7840 | 0.8855 |
| No log | 1.2157 | 124 | 0.7986 | 0.5671 | 0.7986 | 0.8937 |
| No log | 1.2353 | 126 | 0.8243 | 0.5418 | 0.8243 | 0.9079 |
| No log | 1.2549 | 128 | 0.8383 | 0.5414 | 0.8383 | 0.9156 |
| No log | 1.2745 | 130 | 0.8373 | 0.5261 | 0.8373 | 0.9151 |
| No log | 1.2941 | 132 | 0.7802 | 0.4966 | 0.7802 | 0.8833 |
| No log | 1.3137 | 134 | 0.9531 | 0.5293 | 0.9531 | 0.9763 |
| No log | 1.3333 | 136 | 1.1174 | 0.4037 | 1.1174 | 1.0571 |
| No log | 1.3529 | 138 | 0.9110 | 0.5475 | 0.9110 | 0.9545 |
| No log | 1.3725 | 140 | 0.8010 | 0.5501 | 0.8010 | 0.8950 |
| No log | 1.3922 | 142 | 1.0149 | 0.5397 | 1.0149 | 1.0074 |
| No log | 1.4118 | 144 | 0.9865 | 0.5194 | 0.9865 | 0.9932 |
| No log | 1.4314 | 146 | 0.8711 | 0.5211 | 0.8711 | 0.9333 |
| No log | 1.4510 | 148 | 0.9015 | 0.4561 | 0.9015 | 0.9495 |
| No log | 1.4706 | 150 | 0.9738 | 0.4341 | 0.9738 | 0.9868 |
| No log | 1.4902 | 152 | 0.9180 | 0.4783 | 0.9180 | 0.9581 |
| No log | 1.5098 | 154 | 0.8255 | 0.5082 | 0.8255 | 0.9086 |
| No log | 1.5294 | 156 | 1.0309 | 0.5638 | 1.0309 | 1.0153 |
| No log | 1.5490 | 158 | 1.0569 | 0.5597 | 1.0569 | 1.0281 |
| No log | 1.5686 | 160 | 0.9671 | 0.5530 | 0.9671 | 0.9834 |
| No log | 1.5882 | 162 | 0.8206 | 0.5025 | 0.8206 | 0.9059 |
| No log | 1.6078 | 164 | 0.8133 | 0.6139 | 0.8133 | 0.9018 |
| No log | 1.6275 | 166 | 0.8269 | 0.6310 | 0.8269 | 0.9094 |
| No log | 1.6471 | 168 | 0.7818 | 0.5680 | 0.7818 | 0.8842 |
| No log | 1.6667 | 170 | 0.8723 | 0.5780 | 0.8723 | 0.9340 |
| No log | 1.6863 | 172 | 0.9701 | 0.5439 | 0.9701 | 0.9849 |
| No log | 1.7059 | 174 | 0.9340 | 0.5551 | 0.9340 | 0.9664 |
| No log | 1.7255 | 176 | 0.7960 | 0.5580 | 0.7960 | 0.8922 |
| No log | 1.7451 | 178 | 0.7494 | 0.6012 | 0.7494 | 0.8657 |
| No log | 1.7647 | 180 | 1.0327 | 0.4974 | 1.0327 | 1.0162 |
| No log | 1.7843 | 182 | 1.0872 | 0.4890 | 1.0872 | 1.0427 |
| No log | 1.8039 | 184 | 0.9185 | 0.5316 | 0.9185 | 0.9584 |
| No log | 1.8235 | 186 | 0.7426 | 0.5025 | 0.7426 | 0.8618 |
| No log | 1.8431 | 188 | 0.8253 | 0.5322 | 0.8253 | 0.9084 |
| No log | 1.8627 | 190 | 0.8906 | 0.5286 | 0.8906 | 0.9437 |
| No log | 1.8824 | 192 | 0.7752 | 0.5098 | 0.7752 | 0.8804 |
| No log | 1.9020 | 194 | 0.8939 | 0.4957 | 0.8939 | 0.9455 |
| No log | 1.9216 | 196 | 1.1311 | 0.3648 | 1.1311 | 1.0635 |
| No log | 1.9412 | 198 | 1.0809 | 0.4171 | 1.0809 | 1.0397 |
| No log | 1.9608 | 200 | 0.8397 | 0.4542 | 0.8397 | 0.9164 |
| No log | 1.9804 | 202 | 0.9337 | 0.5310 | 0.9337 | 0.9663 |
| No log | 2.0 | 204 | 1.4950 | 0.4120 | 1.4950 | 1.2227 |
| No log | 2.0196 | 206 | 1.7966 | 0.3363 | 1.7966 | 1.3404 |
| No log | 2.0392 | 208 | 1.5242 | 0.4092 | 1.5242 | 1.2346 |
| No log | 2.0588 | 210 | 1.1110 | 0.4371 | 1.1110 | 1.0540 |
| No log | 2.0784 | 212 | 0.8307 | 0.3674 | 0.8307 | 0.9114 |
| No log | 2.0980 | 214 | 0.7801 | 0.4401 | 0.7801 | 0.8832 |
| No log | 2.1176 | 216 | 0.7527 | 0.4874 | 0.7527 | 0.8676 |
| No log | 2.1373 | 218 | 0.7844 | 0.5426 | 0.7844 | 0.8856 |
| No log | 2.1569 | 220 | 0.9282 | 0.5283 | 0.9282 | 0.9635 |
| No log | 2.1765 | 222 | 0.9988 | 0.5514 | 0.9988 | 0.9994 |
| No log | 2.1961 | 224 | 0.8481 | 0.5707 | 0.8481 | 0.9209 |
| No log | 2.2157 | 226 | 0.7802 | 0.6562 | 0.7802 | 0.8833 |
| No log | 2.2353 | 228 | 0.8033 | 0.6389 | 0.8033 | 0.8963 |
| No log | 2.2549 | 230 | 0.7574 | 0.6651 | 0.7574 | 0.8703 |
| No log | 2.2745 | 232 | 0.7596 | 0.5940 | 0.7596 | 0.8716 |
| No log | 2.2941 | 234 | 0.8575 | 0.5431 | 0.8575 | 0.9260 |
| No log | 2.3137 | 236 | 0.9444 | 0.5707 | 0.9444 | 0.9718 |
| No log | 2.3333 | 238 | 0.9334 | 0.5399 | 0.9334 | 0.9661 |
| No log | 2.3529 | 240 | 0.8443 | 0.5255 | 0.8443 | 0.9189 |
| No log | 2.3725 | 242 | 0.7564 | 0.5211 | 0.7564 | 0.8697 |
| No log | 2.3922 | 244 | 0.7112 | 0.5711 | 0.7112 | 0.8433 |
| No log | 2.4118 | 246 | 0.7108 | 0.6487 | 0.7108 | 0.8431 |
| No log | 2.4314 | 248 | 0.7387 | 0.5713 | 0.7387 | 0.8595 |
| No log | 2.4510 | 250 | 0.8276 | 0.5164 | 0.8276 | 0.9097 |
| No log | 2.4706 | 252 | 0.8287 | 0.5 | 0.8287 | 0.9104 |
| No log | 2.4902 | 254 | 0.7847 | 0.5040 | 0.7847 | 0.8858 |
| No log | 2.5098 | 256 | 0.7994 | 0.4465 | 0.7994 | 0.8941 |
| No log | 2.5294 | 258 | 0.8156 | 0.3948 | 0.8156 | 0.9031 |
| No log | 2.5490 | 260 | 0.8783 | 0.4685 | 0.8783 | 0.9372 |
| No log | 2.5686 | 262 | 0.9166 | 0.5130 | 0.9166 | 0.9574 |
| No log | 2.5882 | 264 | 0.8697 | 0.4676 | 0.8697 | 0.9326 |
| No log | 2.6078 | 266 | 0.8195 | 0.5086 | 0.8195 | 0.9052 |
| No log | 2.6275 | 268 | 0.8240 | 0.4902 | 0.8240 | 0.9077 |
| No log | 2.6471 | 270 | 0.8226 | 0.5307 | 0.8226 | 0.9070 |
| No log | 2.6667 | 272 | 0.8216 | 0.5238 | 0.8216 | 0.9064 |
| No log | 2.6863 | 274 | 0.8475 | 0.5161 | 0.8475 | 0.9206 |
| No log | 2.7059 | 276 | 0.8836 | 0.4945 | 0.8836 | 0.9400 |
| No log | 2.7255 | 278 | 0.8841 | 0.5109 | 0.8841 | 0.9403 |
| No log | 2.7451 | 280 | 0.8645 | 0.4886 | 0.8645 | 0.9298 |
| No log | 2.7647 | 282 | 0.8714 | 0.4869 | 0.8714 | 0.9335 |
| No log | 2.7843 | 284 | 0.8970 | 0.5042 | 0.8970 | 0.9471 |
| No log | 2.8039 | 286 | 0.8600 | 0.4583 | 0.8600 | 0.9274 |
| No log | 2.8235 | 288 | 0.8278 | 0.4698 | 0.8278 | 0.9098 |
| No log | 2.8431 | 290 | 0.8148 | 0.5211 | 0.8148 | 0.9027 |
| No log | 2.8627 | 292 | 0.7919 | 0.4352 | 0.7919 | 0.8899 |
| No log | 2.8824 | 294 | 0.7925 | 0.4086 | 0.7925 | 0.8902 |
| No log | 2.9020 | 296 | 0.8008 | 0.4534 | 0.8008 | 0.8949 |
| No log | 2.9216 | 298 | 0.8185 | 0.5131 | 0.8185 | 0.9047 |
| No log | 2.9412 | 300 | 0.8024 | 0.4726 | 0.8024 | 0.8958 |
| No log | 2.9608 | 302 | 0.7922 | 0.3925 | 0.7922 | 0.8901 |
| No log | 2.9804 | 304 | 0.7922 | 0.4449 | 0.7922 | 0.8901 |
| No log | 3.0 | 306 | 0.7925 | 0.5241 | 0.7925 | 0.8902 |
| No log | 3.0196 | 308 | 0.7986 | 0.5386 | 0.7986 | 0.8936 |
| No log | 3.0392 | 310 | 0.8180 | 0.5098 | 0.8180 | 0.9044 |
| No log | 3.0588 | 312 | 0.8268 | 0.5261 | 0.8268 | 0.9093 |
| No log | 3.0784 | 314 | 0.8097 | 0.5411 | 0.8097 | 0.8999 |
| No log | 3.0980 | 316 | 0.7878 | 0.5660 | 0.7878 | 0.8876 |
| No log | 3.1176 | 318 | 0.7577 | 0.5167 | 0.7577 | 0.8705 |
| No log | 3.1373 | 320 | 0.7439 | 0.5463 | 0.7439 | 0.8625 |
| No log | 3.1569 | 322 | 0.7325 | 0.5633 | 0.7325 | 0.8559 |
| No log | 3.1765 | 324 | 0.7698 | 0.5914 | 0.7698 | 0.8774 |
| No log | 3.1961 | 326 | 0.8138 | 0.6043 | 0.8138 | 0.9021 |
| No log | 3.2157 | 328 | 0.8415 | 0.6111 | 0.8415 | 0.9173 |
| No log | 3.2353 | 330 | 0.9020 | 0.6064 | 0.9020 | 0.9497 |
| No log | 3.2549 | 332 | 0.9449 | 0.6011 | 0.9449 | 0.9721 |
| No log | 3.2745 | 334 | 0.8077 | 0.6382 | 0.8077 | 0.8987 |
| No log | 3.2941 | 336 | 0.7352 | 0.5914 | 0.7352 | 0.8574 |
| No log | 3.3137 | 338 | 0.6972 | 0.6151 | 0.6972 | 0.8350 |
| No log | 3.3333 | 340 | 0.7086 | 0.5912 | 0.7086 | 0.8418 |
| No log | 3.3529 | 342 | 0.7059 | 0.5712 | 0.7059 | 0.8402 |
| No log | 3.3725 | 344 | 0.7031 | 0.5467 | 0.7031 | 0.8385 |
| No log | 3.3922 | 346 | 0.7113 | 0.5800 | 0.7113 | 0.8434 |
| No log | 3.4118 | 348 | 0.7667 | 0.5777 | 0.7667 | 0.8756 |
| No log | 3.4314 | 350 | 0.9355 | 0.5297 | 0.9355 | 0.9672 |
| No log | 3.4510 | 352 | 0.9825 | 0.5247 | 0.9825 | 0.9912 |
| No log | 3.4706 | 354 | 0.8900 | 0.4641 | 0.8900 | 0.9434 |
| No log | 3.4902 | 356 | 0.7961 | 0.4920 | 0.7961 | 0.8922 |
| No log | 3.5098 | 358 | 0.7459 | 0.4737 | 0.7459 | 0.8637 |
| No log | 3.5294 | 360 | 0.7261 | 0.4397 | 0.7261 | 0.8521 |
| No log | 3.5490 | 362 | 0.7266 | 0.4643 | 0.7266 | 0.8524 |
| No log | 3.5686 | 364 | 0.7242 | 0.4626 | 0.7242 | 0.8510 |
| No log | 3.5882 | 366 | 0.7711 | 0.6142 | 0.7711 | 0.8781 |
| No log | 3.6078 | 368 | 0.8476 | 0.6043 | 0.8476 | 0.9207 |
| No log | 3.6275 | 370 | 0.8592 | 0.5670 | 0.8592 | 0.9269 |
| No log | 3.6471 | 372 | 0.8139 | 0.5586 | 0.8139 | 0.9022 |
| No log | 3.6667 | 374 | 0.7766 | 0.3738 | 0.7766 | 0.8812 |
| No log | 3.6863 | 376 | 0.8165 | 0.5060 | 0.8165 | 0.9036 |
| No log | 3.7059 | 378 | 0.9360 | 0.4733 | 0.9360 | 0.9675 |
| No log | 3.7255 | 380 | 0.9232 | 0.4444 | 0.9232 | 0.9608 |
| No log | 3.7451 | 382 | 0.8326 | 0.3956 | 0.8326 | 0.9125 |
| No log | 3.7647 | 384 | 0.8691 | 0.4704 | 0.8691 | 0.9322 |
| No log | 3.7843 | 386 | 0.9583 | 0.4946 | 0.9583 | 0.9789 |
| No log | 3.8039 | 388 | 0.9934 | 0.4610 | 0.9934 | 0.9967 |
| No log | 3.8235 | 390 | 1.0024 | 0.4733 | 1.0024 | 1.0012 |
| No log | 3.8431 | 392 | 0.9064 | 0.4527 | 0.9064 | 0.9521 |
| No log | 3.8627 | 394 | 0.8511 | 0.4413 | 0.8511 | 0.9225 |
| No log | 3.8824 | 396 | 0.8331 | 0.4498 | 0.8331 | 0.9127 |
| No log | 3.9020 | 398 | 0.8278 | 0.4498 | 0.8278 | 0.9098 |
| No log | 3.9216 | 400 | 0.8448 | 0.4620 | 0.8448 | 0.9191 |
| No log | 3.9412 | 402 | 0.9217 | 0.5083 | 0.9217 | 0.9600 |
| No log | 3.9608 | 404 | 0.9355 | 0.5340 | 0.9355 | 0.9672 |
| No log | 3.9804 | 406 | 0.8630 | 0.5042 | 0.8630 | 0.9290 |
| No log | 4.0 | 408 | 0.7869 | 0.4540 | 0.7869 | 0.8871 |
| No log | 4.0196 | 410 | 0.7582 | 0.4401 | 0.7582 | 0.8707 |
| No log | 4.0392 | 412 | 0.7744 | 0.5468 | 0.7744 | 0.8800 |
| No log | 4.0588 | 414 | 0.7428 | 0.4957 | 0.7428 | 0.8619 |
| No log | 4.0784 | 416 | 0.7178 | 0.5922 | 0.7178 | 0.8472 |
| No log | 4.0980 | 418 | 0.7583 | 0.5411 | 0.7583 | 0.8708 |
| No log | 4.1176 | 420 | 0.7877 | 0.5869 | 0.7877 | 0.8875 |
| No log | 4.1373 | 422 | 0.8287 | 0.5759 | 0.8287 | 0.9104 |
| No log | 4.1569 | 424 | 0.8326 | 0.5331 | 0.8326 | 0.9125 |
| No log | 4.1765 | 426 | 0.8373 | 0.5136 | 0.8373 | 0.9150 |
| No log | 4.1961 | 428 | 0.8236 | 0.5474 | 0.8236 | 0.9075 |
| No log | 4.2157 | 430 | 0.8091 | 0.5287 | 0.8091 | 0.8995 |
| No log | 4.2353 | 432 | 0.8249 | 0.5635 | 0.8249 | 0.9082 |
| No log | 4.2549 | 434 | 0.8598 | 0.5253 | 0.8598 | 0.9273 |
| No log | 4.2745 | 436 | 0.8449 | 0.5318 | 0.8449 | 0.9192 |
| No log | 4.2941 | 438 | 0.8422 | 0.4479 | 0.8422 | 0.9177 |
| No log | 4.3137 | 440 | 0.8613 | 0.3608 | 0.8613 | 0.9281 |
| No log | 4.3333 | 442 | 0.8865 | 0.3437 | 0.8865 | 0.9415 |
| No log | 4.3529 | 444 | 0.9008 | 0.3652 | 0.9008 | 0.9491 |
| No log | 4.3725 | 446 | 0.9479 | 0.4165 | 0.9479 | 0.9736 |
| No log | 4.3922 | 448 | 0.9773 | 0.4576 | 0.9773 | 0.9886 |
| No log | 4.4118 | 450 | 0.9462 | 0.5218 | 0.9462 | 0.9727 |
| No log | 4.4314 | 452 | 0.8800 | 0.4907 | 0.8800 | 0.9381 |
| No log | 4.4510 | 454 | 0.8494 | 0.5028 | 0.8494 | 0.9217 |
| No log | 4.4706 | 456 | 0.8286 | 0.5311 | 0.8286 | 0.9103 |
| No log | 4.4902 | 458 | 0.8214 | 0.5495 | 0.8214 | 0.9063 |
| No log | 4.5098 | 460 | 0.8389 | 0.5625 | 0.8389 | 0.9159 |
| No log | 4.5294 | 462 | 0.8101 | 0.5625 | 0.8101 | 0.9001 |
| No log | 4.5490 | 464 | 0.7676 | 0.5011 | 0.7676 | 0.8762 |
| No log | 4.5686 | 466 | 0.7632 | 0.4671 | 0.7632 | 0.8736 |
| No log | 4.5882 | 468 | 0.7751 | 0.4841 | 0.7751 | 0.8804 |
| No log | 4.6078 | 470 | 0.7593 | 0.4941 | 0.7593 | 0.8714 |
| No log | 4.6275 | 472 | 0.7309 | 0.4908 | 0.7309 | 0.8549 |
| No log | 4.6471 | 474 | 0.7510 | 0.5211 | 0.7510 | 0.8666 |
| No log | 4.6667 | 476 | 0.7660 | 0.5585 | 0.7660 | 0.8752 |
| No log | 4.6863 | 478 | 0.7367 | 0.4662 | 0.7367 | 0.8583 |
| No log | 4.7059 | 480 | 0.7356 | 0.4834 | 0.7356 | 0.8577 |
| No log | 4.7255 | 482 | 0.7473 | 0.5749 | 0.7473 | 0.8645 |
| No log | 4.7451 | 484 | 0.7887 | 0.5979 | 0.7887 | 0.8881 |
| No log | 4.7647 | 486 | 0.8572 | 0.5365 | 0.8572 | 0.9259 |
| No log | 4.7843 | 488 | 0.9434 | 0.5415 | 0.9434 | 0.9713 |
| No log | 4.8039 | 490 | 0.9710 | 0.5032 | 0.9710 | 0.9854 |
| No log | 4.8235 | 492 | 0.9354 | 0.4889 | 0.9354 | 0.9672 |
| No log | 4.8431 | 494 | 0.8744 | 0.5303 | 0.8744 | 0.9351 |
| No log | 4.8627 | 496 | 0.8132 | 0.4637 | 0.8132 | 0.9018 |
| No log | 4.8824 | 498 | 0.7832 | 0.4634 | 0.7832 | 0.8850 |
| 0.3541 | 4.9020 | 500 | 0.7805 | 0.5098 | 0.7805 | 0.8835 |
| 0.3541 | 4.9216 | 502 | 0.7797 | 0.5815 | 0.7797 | 0.8830 |
| 0.3541 | 4.9412 | 504 | 0.8091 | 0.5588 | 0.8091 | 0.8995 |
| 0.3541 | 4.9608 | 506 | 0.8435 | 0.5624 | 0.8435 | 0.9184 |
| 0.3541 | 4.9804 | 508 | 0.8850 | 0.5660 | 0.8850 | 0.9407 |
| 0.3541 | 5.0 | 510 | 0.8802 | 0.5710 | 0.8802 | 0.9382 |
| 0.3541 | 5.0196 | 512 | 0.8441 | 0.5881 | 0.8441 | 0.9188 |
| 0.3541 | 5.0392 | 514 | 0.8122 | 0.3596 | 0.8122 | 0.9012 |
| 0.3541 | 5.0588 | 516 | 0.7916 | 0.3738 | 0.7916 | 0.8897 |
| 0.3541 | 5.0784 | 518 | 0.7847 | 0.4019 | 0.7847 | 0.8858 |
| 0.3541 | 5.0980 | 520 | 0.7732 | 0.3879 | 0.7732 | 0.8793 |
| 0.3541 | 5.1176 | 522 | 0.7781 | 0.4746 | 0.7781 | 0.8821 |
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_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k18_task2_organization
Base model
aubmindlab/bert-base-arabertv02