ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k17_task7_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: 0.5228
- Qwk: 0.4527
- Mse: 0.5228
- Rmse: 0.7231
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 | 0.0233 | 2 | 2.6798 | -0.0230 | 2.6798 | 1.6370 |
| No log | 0.0465 | 4 | 1.2995 | 0.0511 | 1.2995 | 1.1400 |
| No log | 0.0698 | 6 | 0.9989 | -0.0622 | 0.9989 | 0.9994 |
| No log | 0.0930 | 8 | 1.0468 | 0.0478 | 1.0468 | 1.0231 |
| No log | 0.1163 | 10 | 0.9453 | 0.2703 | 0.9453 | 0.9723 |
| No log | 0.1395 | 12 | 0.7612 | 0.1648 | 0.7612 | 0.8725 |
| No log | 0.1628 | 14 | 0.7284 | 0.2336 | 0.7284 | 0.8535 |
| No log | 0.1860 | 16 | 0.7165 | 0.1807 | 0.7165 | 0.8465 |
| No log | 0.2093 | 18 | 0.7029 | 0.1807 | 0.7029 | 0.8384 |
| No log | 0.2326 | 20 | 0.6895 | 0.2718 | 0.6895 | 0.8303 |
| No log | 0.2558 | 22 | 0.7225 | 0.2424 | 0.7225 | 0.8500 |
| No log | 0.2791 | 24 | 0.9845 | 0.2239 | 0.9845 | 0.9922 |
| No log | 0.3023 | 26 | 1.0539 | 0.2435 | 1.0539 | 1.0266 |
| No log | 0.3256 | 28 | 0.8378 | 0.3895 | 0.8378 | 0.9153 |
| No log | 0.3488 | 30 | 0.6332 | 0.3050 | 0.6332 | 0.7957 |
| No log | 0.3721 | 32 | 0.5615 | 0.2955 | 0.5615 | 0.7493 |
| No log | 0.3953 | 34 | 0.5613 | 0.2243 | 0.5613 | 0.7492 |
| No log | 0.4186 | 36 | 0.5900 | 0.2382 | 0.5900 | 0.7681 |
| No log | 0.4419 | 38 | 0.6331 | 0.1315 | 0.6331 | 0.7957 |
| No log | 0.4651 | 40 | 0.8066 | 0.3598 | 0.8066 | 0.8981 |
| No log | 0.4884 | 42 | 0.8706 | 0.3777 | 0.8706 | 0.9331 |
| No log | 0.5116 | 44 | 0.7387 | 0.3051 | 0.7387 | 0.8595 |
| No log | 0.5349 | 46 | 0.5897 | 0.1983 | 0.5897 | 0.7679 |
| No log | 0.5581 | 48 | 0.5970 | 0.3546 | 0.5970 | 0.7727 |
| No log | 0.5814 | 50 | 0.5960 | 0.3084 | 0.5960 | 0.7720 |
| No log | 0.6047 | 52 | 0.7067 | 0.2051 | 0.7067 | 0.8407 |
| No log | 0.6279 | 54 | 0.8556 | 0.3643 | 0.8556 | 0.9250 |
| No log | 0.6512 | 56 | 1.0438 | 0.2263 | 1.0438 | 1.0217 |
| No log | 0.6744 | 58 | 1.1741 | 0.1710 | 1.1741 | 1.0836 |
| No log | 0.6977 | 60 | 1.0396 | 0.1746 | 1.0396 | 1.0196 |
| No log | 0.7209 | 62 | 0.7900 | 0.4431 | 0.7900 | 0.8888 |
| No log | 0.7442 | 64 | 0.6619 | 0.3481 | 0.6619 | 0.8136 |
| No log | 0.7674 | 66 | 0.6506 | 0.2811 | 0.6506 | 0.8066 |
| No log | 0.7907 | 68 | 0.6548 | 0.3160 | 0.6548 | 0.8092 |
| No log | 0.8140 | 70 | 0.6615 | 0.3293 | 0.6615 | 0.8133 |
| No log | 0.8372 | 72 | 0.6523 | 0.2715 | 0.6523 | 0.8076 |
| No log | 0.8605 | 74 | 0.8482 | 0.2975 | 0.8482 | 0.9210 |
| No log | 0.8837 | 76 | 0.9186 | 0.3069 | 0.9186 | 0.9585 |
| No log | 0.9070 | 78 | 0.7183 | 0.3819 | 0.7183 | 0.8475 |
| No log | 0.9302 | 80 | 0.6052 | 0.3089 | 0.6052 | 0.7780 |
| No log | 0.9535 | 82 | 0.7180 | 0.4411 | 0.7180 | 0.8473 |
| No log | 0.9767 | 84 | 0.7372 | 0.4161 | 0.7372 | 0.8586 |
| No log | 1.0 | 86 | 0.6900 | 0.3681 | 0.6900 | 0.8307 |
| No log | 1.0233 | 88 | 0.6852 | 0.3681 | 0.6852 | 0.8278 |
| No log | 1.0465 | 90 | 0.6493 | 0.3443 | 0.6493 | 0.8058 |
| No log | 1.0698 | 92 | 0.6192 | 0.4276 | 0.6192 | 0.7869 |
| No log | 1.0930 | 94 | 0.6287 | 0.4182 | 0.6287 | 0.7929 |
| No log | 1.1163 | 96 | 0.8350 | 0.4051 | 0.8350 | 0.9138 |
| No log | 1.1395 | 98 | 1.2298 | 0.1453 | 1.2298 | 1.1090 |
| No log | 1.1628 | 100 | 1.2299 | 0.1453 | 1.2299 | 1.1090 |
| No log | 1.1860 | 102 | 0.9205 | 0.3808 | 0.9205 | 0.9594 |
| No log | 1.2093 | 104 | 0.8132 | 0.3988 | 0.8132 | 0.9018 |
| No log | 1.2326 | 106 | 0.7916 | 0.3597 | 0.7916 | 0.8897 |
| No log | 1.2558 | 108 | 0.6951 | 0.4103 | 0.6951 | 0.8337 |
| No log | 1.2791 | 110 | 0.6393 | 0.4693 | 0.6393 | 0.7995 |
| No log | 1.3023 | 112 | 0.6366 | 0.4586 | 0.6366 | 0.7979 |
| No log | 1.3256 | 114 | 0.6616 | 0.5845 | 0.6616 | 0.8134 |
| No log | 1.3488 | 116 | 0.6802 | 0.4767 | 0.6802 | 0.8247 |
| No log | 1.3721 | 118 | 0.6612 | 0.5257 | 0.6612 | 0.8132 |
| No log | 1.3953 | 120 | 0.6559 | 0.4831 | 0.6559 | 0.8099 |
| No log | 1.4186 | 122 | 0.7262 | 0.4357 | 0.7262 | 0.8522 |
| No log | 1.4419 | 124 | 0.6859 | 0.3768 | 0.6859 | 0.8282 |
| No log | 1.4651 | 126 | 0.6555 | 0.4542 | 0.6555 | 0.8096 |
| No log | 1.4884 | 128 | 0.6858 | 0.3586 | 0.6858 | 0.8282 |
| No log | 1.5116 | 130 | 0.6337 | 0.3196 | 0.6337 | 0.7961 |
| No log | 1.5349 | 132 | 0.6427 | 0.3580 | 0.6427 | 0.8017 |
| No log | 1.5581 | 134 | 0.7352 | 0.2245 | 0.7352 | 0.8574 |
| No log | 1.5814 | 136 | 0.7599 | 0.2528 | 0.7599 | 0.8717 |
| No log | 1.6047 | 138 | 0.6994 | 0.3124 | 0.6994 | 0.8363 |
| No log | 1.6279 | 140 | 0.6404 | 0.4548 | 0.6404 | 0.8002 |
| No log | 1.6512 | 142 | 0.6586 | 0.3808 | 0.6586 | 0.8115 |
| No log | 1.6744 | 144 | 0.7136 | 0.3761 | 0.7136 | 0.8448 |
| No log | 1.6977 | 146 | 0.7131 | 0.3590 | 0.7131 | 0.8445 |
| No log | 1.7209 | 148 | 0.6293 | 0.3435 | 0.6293 | 0.7933 |
| No log | 1.7442 | 150 | 0.6277 | 0.3755 | 0.6277 | 0.7923 |
| No log | 1.7674 | 152 | 0.6456 | 0.2995 | 0.6456 | 0.8035 |
| No log | 1.7907 | 154 | 0.6178 | 0.3966 | 0.6178 | 0.7860 |
| No log | 1.8140 | 156 | 0.6936 | 0.4016 | 0.6936 | 0.8328 |
| No log | 1.8372 | 158 | 0.8228 | 0.3718 | 0.8228 | 0.9071 |
| No log | 1.8605 | 160 | 0.7544 | 0.4391 | 0.7544 | 0.8686 |
| No log | 1.8837 | 162 | 0.6509 | 0.3746 | 0.6509 | 0.8068 |
| No log | 1.9070 | 164 | 0.6105 | 0.4073 | 0.6105 | 0.7813 |
| No log | 1.9302 | 166 | 0.6085 | 0.4001 | 0.6085 | 0.7801 |
| No log | 1.9535 | 168 | 0.6086 | 0.3970 | 0.6086 | 0.7801 |
| No log | 1.9767 | 170 | 0.6552 | 0.3729 | 0.6552 | 0.8095 |
| No log | 2.0 | 172 | 0.8077 | 0.3239 | 0.8077 | 0.8987 |
| No log | 2.0233 | 174 | 0.9586 | 0.2680 | 0.9586 | 0.9791 |
| No log | 2.0465 | 176 | 0.9053 | 0.2727 | 0.9053 | 0.9514 |
| No log | 2.0698 | 178 | 0.7730 | 0.4377 | 0.7730 | 0.8792 |
| No log | 2.0930 | 180 | 0.6986 | 0.4224 | 0.6986 | 0.8358 |
| No log | 2.1163 | 182 | 0.6995 | 0.4263 | 0.6995 | 0.8364 |
| No log | 2.1395 | 184 | 0.7525 | 0.4392 | 0.7525 | 0.8675 |
| No log | 2.1628 | 186 | 0.7192 | 0.4177 | 0.7192 | 0.8480 |
| No log | 2.1860 | 188 | 0.6776 | 0.4189 | 0.6776 | 0.8232 |
| No log | 2.2093 | 190 | 0.6414 | 0.4444 | 0.6414 | 0.8009 |
| No log | 2.2326 | 192 | 0.6486 | 0.4429 | 0.6486 | 0.8054 |
| No log | 2.2558 | 194 | 0.6605 | 0.3879 | 0.6605 | 0.8127 |
| No log | 2.2791 | 196 | 0.6508 | 0.4633 | 0.6508 | 0.8067 |
| No log | 2.3023 | 198 | 0.6773 | 0.4199 | 0.6773 | 0.8230 |
| No log | 2.3256 | 200 | 0.6458 | 0.3590 | 0.6458 | 0.8036 |
| No log | 2.3488 | 202 | 0.6238 | 0.4193 | 0.6238 | 0.7898 |
| No log | 2.3721 | 204 | 0.6585 | 0.4139 | 0.6585 | 0.8115 |
| No log | 2.3953 | 206 | 0.6281 | 0.3856 | 0.6281 | 0.7926 |
| No log | 2.4186 | 208 | 0.6097 | 0.3970 | 0.6097 | 0.7808 |
| No log | 2.4419 | 210 | 0.6573 | 0.4513 | 0.6573 | 0.8107 |
| No log | 2.4651 | 212 | 0.6448 | 0.3990 | 0.6448 | 0.8030 |
| No log | 2.4884 | 214 | 0.6379 | 0.3504 | 0.6379 | 0.7987 |
| No log | 2.5116 | 216 | 0.7060 | 0.3761 | 0.7060 | 0.8402 |
| No log | 2.5349 | 218 | 0.7896 | 0.3550 | 0.7896 | 0.8886 |
| No log | 2.5581 | 220 | 0.7804 | 0.3590 | 0.7804 | 0.8834 |
| No log | 2.5814 | 222 | 0.7039 | 0.3761 | 0.7039 | 0.8390 |
| No log | 2.6047 | 224 | 0.6559 | 0.4547 | 0.6559 | 0.8099 |
| No log | 2.6279 | 226 | 0.6500 | 0.4361 | 0.6500 | 0.8062 |
| No log | 2.6512 | 228 | 0.6739 | 0.3934 | 0.6739 | 0.8209 |
| No log | 2.6744 | 230 | 0.6726 | 0.3934 | 0.6726 | 0.8201 |
| No log | 2.6977 | 232 | 0.6908 | 0.3355 | 0.6908 | 0.8311 |
| No log | 2.7209 | 234 | 0.6934 | 0.3355 | 0.6934 | 0.8327 |
| No log | 2.7442 | 236 | 0.6553 | 0.3141 | 0.6553 | 0.8095 |
| No log | 2.7674 | 238 | 0.6544 | 0.3141 | 0.6544 | 0.8090 |
| No log | 2.7907 | 240 | 0.6887 | 0.3474 | 0.6887 | 0.8299 |
| No log | 2.8140 | 242 | 0.7036 | 0.3474 | 0.7036 | 0.8388 |
| No log | 2.8372 | 244 | 0.6728 | 0.3561 | 0.6728 | 0.8202 |
| No log | 2.8605 | 246 | 0.6590 | 0.3561 | 0.6590 | 0.8118 |
| No log | 2.8837 | 248 | 0.6474 | 0.4308 | 0.6474 | 0.8046 |
| No log | 2.9070 | 250 | 0.6458 | 0.3725 | 0.6458 | 0.8036 |
| No log | 2.9302 | 252 | 0.6529 | 0.3378 | 0.6529 | 0.8080 |
| No log | 2.9535 | 254 | 0.7095 | 0.3896 | 0.7095 | 0.8423 |
| No log | 2.9767 | 256 | 0.6921 | 0.3896 | 0.6921 | 0.8319 |
| No log | 3.0 | 258 | 0.6552 | 0.3653 | 0.6552 | 0.8094 |
| No log | 3.0233 | 260 | 0.6060 | 0.4322 | 0.6060 | 0.7785 |
| No log | 3.0465 | 262 | 0.6108 | 0.4299 | 0.6108 | 0.7816 |
| No log | 3.0698 | 264 | 0.6294 | 0.3563 | 0.6294 | 0.7933 |
| No log | 3.0930 | 266 | 0.6885 | 0.4131 | 0.6885 | 0.8298 |
| No log | 3.1163 | 268 | 0.7362 | 0.3829 | 0.7362 | 0.8580 |
| No log | 3.1395 | 270 | 0.7131 | 0.3633 | 0.7131 | 0.8444 |
| No log | 3.1628 | 272 | 0.7302 | 0.4084 | 0.7302 | 0.8545 |
| No log | 3.1860 | 274 | 0.7612 | 0.4168 | 0.7612 | 0.8725 |
| No log | 3.2093 | 276 | 0.7314 | 0.3912 | 0.7314 | 0.8552 |
| No log | 3.2326 | 278 | 0.6970 | 0.4689 | 0.6970 | 0.8349 |
| No log | 3.2558 | 280 | 0.7020 | 0.4340 | 0.7020 | 0.8378 |
| No log | 3.2791 | 282 | 0.6892 | 0.4340 | 0.6892 | 0.8302 |
| No log | 3.3023 | 284 | 0.6888 | 0.4111 | 0.6888 | 0.8300 |
| No log | 3.3256 | 286 | 0.6756 | 0.4444 | 0.6756 | 0.8220 |
| No log | 3.3488 | 288 | 0.6199 | 0.4211 | 0.6199 | 0.7873 |
| No log | 3.3721 | 290 | 0.6078 | 0.4253 | 0.6078 | 0.7796 |
| No log | 3.3953 | 292 | 0.6175 | 0.3906 | 0.6175 | 0.7858 |
| No log | 3.4186 | 294 | 0.7276 | 0.3410 | 0.7276 | 0.8530 |
| No log | 3.4419 | 296 | 0.8585 | 0.3924 | 0.8585 | 0.9266 |
| No log | 3.4651 | 298 | 0.8262 | 0.4007 | 0.8262 | 0.9089 |
| No log | 3.4884 | 300 | 0.6846 | 0.3896 | 0.6846 | 0.8274 |
| No log | 3.5116 | 302 | 0.6040 | 0.4322 | 0.6040 | 0.7772 |
| No log | 3.5349 | 304 | 0.6043 | 0.4314 | 0.6043 | 0.7774 |
| No log | 3.5581 | 306 | 0.6023 | 0.3407 | 0.6023 | 0.7761 |
| No log | 3.5814 | 308 | 0.6105 | 0.3107 | 0.6105 | 0.7814 |
| No log | 3.6047 | 310 | 0.6212 | 0.3481 | 0.6212 | 0.7881 |
| No log | 3.6279 | 312 | 0.6021 | 0.3982 | 0.6021 | 0.7760 |
| No log | 3.6512 | 314 | 0.5923 | 0.4466 | 0.5923 | 0.7696 |
| No log | 3.6744 | 316 | 0.5931 | 0.4536 | 0.5931 | 0.7702 |
| No log | 3.6977 | 318 | 0.6342 | 0.4939 | 0.6342 | 0.7964 |
| No log | 3.7209 | 320 | 0.6435 | 0.5085 | 0.6435 | 0.8022 |
| No log | 3.7442 | 322 | 0.6114 | 0.5254 | 0.6114 | 0.7819 |
| No log | 3.7674 | 324 | 0.5816 | 0.5301 | 0.5816 | 0.7626 |
| No log | 3.7907 | 326 | 0.5811 | 0.5399 | 0.5811 | 0.7623 |
| No log | 3.8140 | 328 | 0.6107 | 0.5407 | 0.6107 | 0.7815 |
| No log | 3.8372 | 330 | 0.5857 | 0.5628 | 0.5857 | 0.7653 |
| No log | 3.8605 | 332 | 0.5752 | 0.5848 | 0.5752 | 0.7584 |
| No log | 3.8837 | 334 | 0.5571 | 0.5758 | 0.5571 | 0.7464 |
| No log | 3.9070 | 336 | 0.5554 | 0.5487 | 0.5554 | 0.7452 |
| No log | 3.9302 | 338 | 0.5255 | 0.5758 | 0.5255 | 0.7249 |
| No log | 3.9535 | 340 | 0.5283 | 0.6076 | 0.5283 | 0.7269 |
| No log | 3.9767 | 342 | 0.6295 | 0.5464 | 0.6295 | 0.7934 |
| No log | 4.0 | 344 | 0.6727 | 0.5146 | 0.6727 | 0.8202 |
| No log | 4.0233 | 346 | 0.6299 | 0.5464 | 0.6299 | 0.7937 |
| No log | 4.0465 | 348 | 0.5616 | 0.5795 | 0.5616 | 0.7494 |
| No log | 4.0698 | 350 | 0.5656 | 0.6195 | 0.5656 | 0.7520 |
| No log | 4.0930 | 352 | 0.5561 | 0.5835 | 0.5561 | 0.7457 |
| No log | 4.1163 | 354 | 0.5982 | 0.5757 | 0.5982 | 0.7734 |
| No log | 4.1395 | 356 | 0.6829 | 0.4794 | 0.6829 | 0.8264 |
| No log | 4.1628 | 358 | 0.7504 | 0.5032 | 0.7504 | 0.8663 |
| No log | 4.1860 | 360 | 0.7703 | 0.4852 | 0.7703 | 0.8777 |
| No log | 4.2093 | 362 | 0.6417 | 0.5101 | 0.6417 | 0.8010 |
| No log | 4.2326 | 364 | 0.5628 | 0.4620 | 0.5628 | 0.7502 |
| No log | 4.2558 | 366 | 0.6117 | 0.4836 | 0.6117 | 0.7821 |
| No log | 4.2791 | 368 | 0.6155 | 0.4808 | 0.6155 | 0.7845 |
| No log | 4.3023 | 370 | 0.5681 | 0.5327 | 0.5681 | 0.7537 |
| No log | 4.3256 | 372 | 0.5565 | 0.3530 | 0.5565 | 0.7460 |
| No log | 4.3488 | 374 | 0.5980 | 0.4116 | 0.5980 | 0.7733 |
| No log | 4.3721 | 376 | 0.6214 | 0.4083 | 0.6214 | 0.7883 |
| No log | 4.3953 | 378 | 0.5926 | 0.4174 | 0.5926 | 0.7698 |
| No log | 4.4186 | 380 | 0.5726 | 0.4174 | 0.5726 | 0.7567 |
| No log | 4.4419 | 382 | 0.5735 | 0.4059 | 0.5735 | 0.7573 |
| No log | 4.4651 | 384 | 0.5950 | 0.4589 | 0.5950 | 0.7714 |
| No log | 4.4884 | 386 | 0.6600 | 0.5065 | 0.6600 | 0.8124 |
| No log | 4.5116 | 388 | 0.6191 | 0.4949 | 0.6191 | 0.7868 |
| No log | 4.5349 | 390 | 0.5329 | 0.4632 | 0.5329 | 0.7300 |
| No log | 4.5581 | 392 | 0.5081 | 0.5485 | 0.5081 | 0.7128 |
| No log | 4.5814 | 394 | 0.5100 | 0.5732 | 0.5100 | 0.7142 |
| No log | 4.6047 | 396 | 0.4999 | 0.6452 | 0.4999 | 0.7071 |
| No log | 4.6279 | 398 | 0.5382 | 0.5368 | 0.5382 | 0.7336 |
| No log | 4.6512 | 400 | 0.6272 | 0.4756 | 0.6272 | 0.7920 |
| No log | 4.6744 | 402 | 0.6501 | 0.4773 | 0.6501 | 0.8063 |
| No log | 4.6977 | 404 | 0.5718 | 0.4851 | 0.5718 | 0.7562 |
| No log | 4.7209 | 406 | 0.4904 | 0.6170 | 0.4904 | 0.7003 |
| No log | 4.7442 | 408 | 0.5048 | 0.5307 | 0.5048 | 0.7105 |
| No log | 4.7674 | 410 | 0.5242 | 0.5131 | 0.5242 | 0.7240 |
| No log | 4.7907 | 412 | 0.5100 | 0.5170 | 0.5100 | 0.7141 |
| No log | 4.8140 | 414 | 0.5128 | 0.4505 | 0.5128 | 0.7161 |
| No log | 4.8372 | 416 | 0.5808 | 0.4969 | 0.5808 | 0.7621 |
| No log | 4.8605 | 418 | 0.6047 | 0.5122 | 0.6047 | 0.7776 |
| No log | 4.8837 | 420 | 0.5557 | 0.5429 | 0.5557 | 0.7455 |
| No log | 4.9070 | 422 | 0.5130 | 0.5596 | 0.5130 | 0.7162 |
| No log | 4.9302 | 424 | 0.5151 | 0.6087 | 0.5151 | 0.7177 |
| No log | 4.9535 | 426 | 0.5583 | 0.5822 | 0.5583 | 0.7472 |
| No log | 4.9767 | 428 | 0.6138 | 0.5116 | 0.6138 | 0.7835 |
| No log | 5.0 | 430 | 0.6013 | 0.5436 | 0.6013 | 0.7754 |
| No log | 5.0233 | 432 | 0.5469 | 0.5538 | 0.5469 | 0.7395 |
| No log | 5.0465 | 434 | 0.5461 | 0.4964 | 0.5461 | 0.7390 |
| No log | 5.0698 | 436 | 0.5815 | 0.4663 | 0.5815 | 0.7626 |
| No log | 5.0930 | 438 | 0.5724 | 0.4845 | 0.5724 | 0.7566 |
| No log | 5.1163 | 440 | 0.5565 | 0.3865 | 0.5565 | 0.7460 |
| No log | 5.1395 | 442 | 0.5524 | 0.4314 | 0.5524 | 0.7433 |
| No log | 5.1628 | 444 | 0.5503 | 0.4526 | 0.5503 | 0.7418 |
| No log | 5.1860 | 446 | 0.5462 | 0.4397 | 0.5462 | 0.7390 |
| No log | 5.2093 | 448 | 0.5420 | 0.4964 | 0.5420 | 0.7362 |
| No log | 5.2326 | 450 | 0.5430 | 0.4516 | 0.5430 | 0.7369 |
| No log | 5.2558 | 452 | 0.5684 | 0.5678 | 0.5684 | 0.7539 |
| No log | 5.2791 | 454 | 0.6016 | 0.5168 | 0.6016 | 0.7756 |
| No log | 5.3023 | 456 | 0.5998 | 0.5283 | 0.5998 | 0.7745 |
| No log | 5.3256 | 458 | 0.5825 | 0.5471 | 0.5825 | 0.7632 |
| No log | 5.3488 | 460 | 0.5527 | 0.5943 | 0.5527 | 0.7434 |
| No log | 5.3721 | 462 | 0.5417 | 0.4757 | 0.5417 | 0.7360 |
| No log | 5.3953 | 464 | 0.5387 | 0.4757 | 0.5387 | 0.7340 |
| No log | 5.4186 | 466 | 0.5441 | 0.5596 | 0.5441 | 0.7376 |
| No log | 5.4419 | 468 | 0.5702 | 0.5554 | 0.5702 | 0.7551 |
| No log | 5.4651 | 470 | 0.5609 | 0.5538 | 0.5609 | 0.7489 |
| No log | 5.4884 | 472 | 0.5414 | 0.4495 | 0.5414 | 0.7358 |
| No log | 5.5116 | 474 | 0.5505 | 0.4782 | 0.5505 | 0.7419 |
| No log | 5.5349 | 476 | 0.5964 | 0.4513 | 0.5964 | 0.7723 |
| No log | 5.5581 | 478 | 0.6058 | 0.4460 | 0.6058 | 0.7783 |
| No log | 5.5814 | 480 | 0.5682 | 0.4912 | 0.5682 | 0.7538 |
| No log | 5.6047 | 482 | 0.5648 | 0.6411 | 0.5648 | 0.7515 |
| No log | 5.6279 | 484 | 0.6231 | 0.5283 | 0.6231 | 0.7894 |
| No log | 5.6512 | 486 | 0.6597 | 0.5002 | 0.6597 | 0.8122 |
| No log | 5.6744 | 488 | 0.6170 | 0.5236 | 0.6170 | 0.7855 |
| No log | 5.6977 | 490 | 0.5574 | 0.6092 | 0.5574 | 0.7466 |
| No log | 5.7209 | 492 | 0.5323 | 0.5479 | 0.5323 | 0.7296 |
| No log | 5.7442 | 494 | 0.5246 | 0.5160 | 0.5246 | 0.7243 |
| No log | 5.7674 | 496 | 0.5294 | 0.5028 | 0.5294 | 0.7276 |
| No log | 5.7907 | 498 | 0.5359 | 0.5266 | 0.5359 | 0.7320 |
| 0.3365 | 5.8140 | 500 | 0.5253 | 0.4782 | 0.5253 | 0.7248 |
| 0.3365 | 5.8372 | 502 | 0.5233 | 0.4724 | 0.5233 | 0.7234 |
| 0.3365 | 5.8605 | 504 | 0.5198 | 0.4634 | 0.5198 | 0.7210 |
| 0.3365 | 5.8837 | 506 | 0.5219 | 0.4471 | 0.5219 | 0.7224 |
| 0.3365 | 5.9070 | 508 | 0.5250 | 0.4677 | 0.5250 | 0.7246 |
| 0.3365 | 5.9302 | 510 | 0.5228 | 0.4527 | 0.5228 | 0.7231 |
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_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k17_task7_organization
Base model
aubmindlab/bert-base-arabertv02