ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k16_task5_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: 0.8075
- Qwk: 0.4796
- Mse: 0.8075
- Rmse: 0.8986
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 | 0.0488 | 2 | 4.1074 | 0.0069 | 4.1074 | 2.0267 |
| No log | 0.0976 | 4 | 2.0961 | 0.1002 | 2.0961 | 1.4478 |
| No log | 0.1463 | 6 | 1.4143 | 0.0143 | 1.4143 | 1.1892 |
| No log | 0.1951 | 8 | 1.0876 | 0.2221 | 1.0876 | 1.0429 |
| No log | 0.2439 | 10 | 1.0962 | 0.1725 | 1.0962 | 1.0470 |
| No log | 0.2927 | 12 | 1.4127 | -0.0278 | 1.4127 | 1.1886 |
| No log | 0.3415 | 14 | 1.7442 | -0.0398 | 1.7442 | 1.3207 |
| No log | 0.3902 | 16 | 1.5107 | -0.0560 | 1.5107 | 1.2291 |
| No log | 0.4390 | 18 | 1.1483 | 0.1119 | 1.1483 | 1.0716 |
| No log | 0.4878 | 20 | 1.0804 | 0.2140 | 1.0804 | 1.0394 |
| No log | 0.5366 | 22 | 1.2017 | 0.1658 | 1.2017 | 1.0962 |
| No log | 0.5854 | 24 | 1.5324 | 0.0 | 1.5324 | 1.2379 |
| No log | 0.6341 | 26 | 1.5029 | 0.0 | 1.5029 | 1.2259 |
| No log | 0.6829 | 28 | 1.2931 | 0.0380 | 1.2931 | 1.1371 |
| No log | 0.7317 | 30 | 1.1481 | 0.1148 | 1.1481 | 1.0715 |
| No log | 0.7805 | 32 | 1.0776 | 0.1989 | 1.0776 | 1.0381 |
| No log | 0.8293 | 34 | 1.0707 | 0.1891 | 1.0707 | 1.0347 |
| No log | 0.8780 | 36 | 1.0672 | 0.1131 | 1.0672 | 1.0331 |
| No log | 0.9268 | 38 | 1.0589 | 0.1755 | 1.0589 | 1.0290 |
| No log | 0.9756 | 40 | 1.0625 | 0.1713 | 1.0625 | 1.0308 |
| No log | 1.0244 | 42 | 1.1155 | 0.1509 | 1.1155 | 1.0562 |
| No log | 1.0732 | 44 | 1.1576 | 0.2004 | 1.1576 | 1.0759 |
| No log | 1.1220 | 46 | 1.0573 | 0.2367 | 1.0573 | 1.0283 |
| No log | 1.1707 | 48 | 0.9751 | 0.2390 | 0.9751 | 0.9875 |
| No log | 1.2195 | 50 | 1.1348 | 0.2632 | 1.1348 | 1.0653 |
| No log | 1.2683 | 52 | 1.1737 | 0.0888 | 1.1737 | 1.0834 |
| No log | 1.3171 | 54 | 1.1011 | 0.1233 | 1.1011 | 1.0493 |
| No log | 1.3659 | 56 | 1.0346 | 0.1962 | 1.0346 | 1.0171 |
| No log | 1.4146 | 58 | 1.0134 | 0.4186 | 1.0134 | 1.0067 |
| No log | 1.4634 | 60 | 1.0019 | 0.3272 | 1.0019 | 1.0009 |
| No log | 1.5122 | 62 | 0.9739 | 0.2716 | 0.9739 | 0.9869 |
| No log | 1.5610 | 64 | 0.9885 | 0.1989 | 0.9885 | 0.9942 |
| No log | 1.6098 | 66 | 1.0444 | 0.1699 | 1.0444 | 1.0220 |
| No log | 1.6585 | 68 | 1.0804 | 0.1826 | 1.0804 | 1.0394 |
| No log | 1.7073 | 70 | 1.0548 | 0.3278 | 1.0548 | 1.0270 |
| No log | 1.7561 | 72 | 0.9483 | 0.2932 | 0.9483 | 0.9738 |
| No log | 1.8049 | 74 | 0.9363 | 0.3896 | 0.9363 | 0.9676 |
| No log | 1.8537 | 76 | 1.0326 | 0.3119 | 1.0326 | 1.0162 |
| No log | 1.9024 | 78 | 1.2722 | 0.2149 | 1.2722 | 1.1279 |
| No log | 1.9512 | 80 | 1.3866 | 0.1790 | 1.3866 | 1.1775 |
| No log | 2.0 | 82 | 1.1931 | 0.3310 | 1.1931 | 1.0923 |
| No log | 2.0488 | 84 | 0.9046 | 0.3973 | 0.9046 | 0.9511 |
| No log | 2.0976 | 86 | 0.8300 | 0.3642 | 0.8300 | 0.9111 |
| No log | 2.1463 | 88 | 0.8375 | 0.4628 | 0.8375 | 0.9152 |
| No log | 2.1951 | 90 | 1.0470 | 0.4222 | 1.0470 | 1.0232 |
| No log | 2.2439 | 92 | 1.4174 | 0.2424 | 1.4174 | 1.1905 |
| No log | 2.2927 | 94 | 1.3345 | 0.2381 | 1.3345 | 1.1552 |
| No log | 2.3415 | 96 | 0.9724 | 0.4563 | 0.9724 | 0.9861 |
| No log | 2.3902 | 98 | 0.8816 | 0.3957 | 0.8816 | 0.9389 |
| No log | 2.4390 | 100 | 0.9373 | 0.4681 | 0.9373 | 0.9682 |
| No log | 2.4878 | 102 | 1.0961 | 0.3283 | 1.0961 | 1.0469 |
| No log | 2.5366 | 104 | 1.2547 | 0.2970 | 1.2547 | 1.1202 |
| No log | 2.5854 | 106 | 1.1644 | 0.3478 | 1.1644 | 1.0791 |
| No log | 2.6341 | 108 | 0.9188 | 0.4291 | 0.9188 | 0.9585 |
| No log | 2.6829 | 110 | 0.8502 | 0.2742 | 0.8502 | 0.9220 |
| No log | 2.7317 | 112 | 0.8317 | 0.3052 | 0.8317 | 0.9120 |
| No log | 2.7805 | 114 | 0.8840 | 0.4115 | 0.8840 | 0.9402 |
| No log | 2.8293 | 116 | 1.2434 | 0.2863 | 1.2434 | 1.1151 |
| No log | 2.8780 | 118 | 1.5096 | 0.2396 | 1.5096 | 1.2287 |
| No log | 2.9268 | 120 | 1.3055 | 0.2898 | 1.3055 | 1.1426 |
| No log | 2.9756 | 122 | 0.9309 | 0.4455 | 0.9309 | 0.9649 |
| No log | 3.0244 | 124 | 0.7905 | 0.4547 | 0.7905 | 0.8891 |
| No log | 3.0732 | 126 | 0.8068 | 0.5425 | 0.8068 | 0.8982 |
| No log | 3.1220 | 128 | 0.7926 | 0.4676 | 0.7926 | 0.8903 |
| No log | 3.1707 | 130 | 0.8776 | 0.4943 | 0.8776 | 0.9368 |
| No log | 3.2195 | 132 | 1.0752 | 0.3724 | 1.0752 | 1.0369 |
| No log | 3.2683 | 134 | 1.1722 | 0.2934 | 1.1722 | 1.0827 |
| No log | 3.3171 | 136 | 1.0456 | 0.4186 | 1.0456 | 1.0226 |
| No log | 3.3659 | 138 | 0.9205 | 0.4423 | 0.9205 | 0.9594 |
| No log | 3.4146 | 140 | 0.8029 | 0.4759 | 0.8029 | 0.8960 |
| No log | 3.4634 | 142 | 0.8064 | 0.4759 | 0.8064 | 0.8980 |
| No log | 3.5122 | 144 | 0.9073 | 0.4575 | 0.9073 | 0.9525 |
| No log | 3.5610 | 146 | 1.1225 | 0.3385 | 1.1225 | 1.0595 |
| No log | 3.6098 | 148 | 1.0859 | 0.3984 | 1.0859 | 1.0421 |
| No log | 3.6585 | 150 | 0.9130 | 0.4807 | 0.9130 | 0.9555 |
| No log | 3.7073 | 152 | 0.8007 | 0.4898 | 0.8007 | 0.8948 |
| No log | 3.7561 | 154 | 0.7976 | 0.4557 | 0.7976 | 0.8931 |
| No log | 3.8049 | 156 | 0.7982 | 0.4557 | 0.7982 | 0.8934 |
| No log | 3.8537 | 158 | 0.8152 | 0.4660 | 0.8152 | 0.9029 |
| No log | 3.9024 | 160 | 0.8553 | 0.4511 | 0.8553 | 0.9248 |
| No log | 3.9512 | 162 | 0.9509 | 0.4478 | 0.9509 | 0.9751 |
| No log | 4.0 | 164 | 1.1278 | 0.3461 | 1.1278 | 1.0620 |
| No log | 4.0488 | 166 | 1.1438 | 0.3461 | 1.1438 | 1.0695 |
| No log | 4.0976 | 168 | 1.0800 | 0.4255 | 1.0800 | 1.0392 |
| No log | 4.1463 | 170 | 1.0039 | 0.3775 | 1.0039 | 1.0019 |
| No log | 4.1951 | 172 | 1.0443 | 0.3846 | 1.0443 | 1.0219 |
| No log | 4.2439 | 174 | 1.0144 | 0.4151 | 1.0144 | 1.0072 |
| No log | 4.2927 | 176 | 0.9081 | 0.3902 | 0.9081 | 0.9529 |
| No log | 4.3415 | 178 | 0.7848 | 0.5113 | 0.7848 | 0.8859 |
| No log | 4.3902 | 180 | 0.7547 | 0.5156 | 0.7547 | 0.8687 |
| No log | 4.4390 | 182 | 0.7603 | 0.5002 | 0.7603 | 0.8720 |
| No log | 4.4878 | 184 | 0.8238 | 0.4815 | 0.8238 | 0.9076 |
| No log | 4.5366 | 186 | 0.8952 | 0.4581 | 0.8952 | 0.9462 |
| No log | 4.5854 | 188 | 0.8805 | 0.4807 | 0.8805 | 0.9383 |
| No log | 4.6341 | 190 | 0.8229 | 0.5366 | 0.8229 | 0.9072 |
| No log | 4.6829 | 192 | 0.7403 | 0.5135 | 0.7403 | 0.8604 |
| No log | 4.7317 | 194 | 0.7453 | 0.5069 | 0.7453 | 0.8633 |
| No log | 4.7805 | 196 | 0.8101 | 0.3577 | 0.8101 | 0.9000 |
| No log | 4.8293 | 198 | 0.7751 | 0.3537 | 0.7751 | 0.8804 |
| No log | 4.8780 | 200 | 0.7765 | 0.4743 | 0.7765 | 0.8812 |
| No log | 4.9268 | 202 | 0.8983 | 0.4695 | 0.8983 | 0.9478 |
| No log | 4.9756 | 204 | 0.9661 | 0.4167 | 0.9661 | 0.9829 |
| No log | 5.0244 | 206 | 1.0790 | 0.4162 | 1.0790 | 1.0387 |
| No log | 5.0732 | 208 | 1.1066 | 0.4152 | 1.1066 | 1.0520 |
| No log | 5.1220 | 210 | 0.9510 | 0.3959 | 0.9510 | 0.9752 |
| No log | 5.1707 | 212 | 0.9140 | 0.3897 | 0.9140 | 0.9560 |
| No log | 5.2195 | 214 | 0.9380 | 0.3862 | 0.9380 | 0.9685 |
| No log | 5.2683 | 216 | 1.0926 | 0.3928 | 1.0926 | 1.0453 |
| No log | 5.3171 | 218 | 1.1948 | 0.3493 | 1.1948 | 1.0931 |
| No log | 5.3659 | 220 | 1.1253 | 0.3810 | 1.1253 | 1.0608 |
| No log | 5.4146 | 222 | 0.9463 | 0.3207 | 0.9463 | 0.9728 |
| No log | 5.4634 | 224 | 0.8477 | 0.3940 | 0.8477 | 0.9207 |
| No log | 5.5122 | 226 | 0.8142 | 0.4973 | 0.8142 | 0.9023 |
| No log | 5.5610 | 228 | 0.8469 | 0.4584 | 0.8469 | 0.9203 |
| No log | 5.6098 | 230 | 0.9360 | 0.4579 | 0.9360 | 0.9675 |
| No log | 5.6585 | 232 | 1.0298 | 0.4668 | 1.0298 | 1.0148 |
| No log | 5.7073 | 234 | 0.9643 | 0.4779 | 0.9643 | 0.9820 |
| No log | 5.7561 | 236 | 0.8780 | 0.5131 | 0.8780 | 0.9370 |
| No log | 5.8049 | 238 | 0.8179 | 0.5504 | 0.8179 | 0.9044 |
| No log | 5.8537 | 240 | 0.8084 | 0.5153 | 0.8084 | 0.8991 |
| No log | 5.9024 | 242 | 0.8807 | 0.5318 | 0.8807 | 0.9385 |
| No log | 5.9512 | 244 | 0.8107 | 0.5439 | 0.8107 | 0.9004 |
| No log | 6.0 | 246 | 0.8108 | 0.5549 | 0.8108 | 0.9005 |
| No log | 6.0488 | 248 | 0.7708 | 0.5383 | 0.7708 | 0.8780 |
| No log | 6.0976 | 250 | 0.6939 | 0.4888 | 0.6939 | 0.8330 |
| No log | 6.1463 | 252 | 0.6890 | 0.5368 | 0.6890 | 0.8300 |
| No log | 6.1951 | 254 | 0.7364 | 0.5885 | 0.7364 | 0.8581 |
| No log | 6.2439 | 256 | 0.8005 | 0.5532 | 0.8005 | 0.8947 |
| No log | 6.2927 | 258 | 0.8252 | 0.5532 | 0.8252 | 0.9084 |
| No log | 6.3415 | 260 | 0.7873 | 0.5267 | 0.7873 | 0.8873 |
| No log | 6.3902 | 262 | 0.8593 | 0.5355 | 0.8593 | 0.9270 |
| No log | 6.4390 | 264 | 0.9600 | 0.5 | 0.9600 | 0.9798 |
| No log | 6.4878 | 266 | 1.0133 | 0.4204 | 1.0133 | 1.0066 |
| No log | 6.5366 | 268 | 0.9413 | 0.4694 | 0.9413 | 0.9702 |
| No log | 6.5854 | 270 | 0.8169 | 0.4960 | 0.8169 | 0.9038 |
| No log | 6.6341 | 272 | 0.7784 | 0.5139 | 0.7784 | 0.8823 |
| No log | 6.6829 | 274 | 0.7749 | 0.5030 | 0.7749 | 0.8803 |
| No log | 6.7317 | 276 | 0.7768 | 0.4789 | 0.7768 | 0.8814 |
| No log | 6.7805 | 278 | 0.8053 | 0.4478 | 0.8053 | 0.8974 |
| No log | 6.8293 | 280 | 0.8209 | 0.4344 | 0.8209 | 0.9060 |
| No log | 6.8780 | 282 | 0.8299 | 0.4839 | 0.8299 | 0.9110 |
| No log | 6.9268 | 284 | 0.7954 | 0.5221 | 0.7954 | 0.8919 |
| No log | 6.9756 | 286 | 0.7682 | 0.5247 | 0.7682 | 0.8764 |
| No log | 7.0244 | 288 | 0.7788 | 0.5223 | 0.7788 | 0.8825 |
| No log | 7.0732 | 290 | 0.7963 | 0.4739 | 0.7963 | 0.8923 |
| No log | 7.1220 | 292 | 0.7757 | 0.4865 | 0.7757 | 0.8807 |
| No log | 7.1707 | 294 | 0.7471 | 0.4411 | 0.7471 | 0.8644 |
| No log | 7.2195 | 296 | 0.8201 | 0.5805 | 0.8201 | 0.9056 |
| No log | 7.2683 | 298 | 0.7965 | 0.6004 | 0.7965 | 0.8925 |
| No log | 7.3171 | 300 | 0.7257 | 0.5032 | 0.7257 | 0.8519 |
| No log | 7.3659 | 302 | 0.7343 | 0.5002 | 0.7343 | 0.8569 |
| No log | 7.4146 | 304 | 0.7499 | 0.5221 | 0.7499 | 0.8660 |
| No log | 7.4634 | 306 | 0.7403 | 0.5002 | 0.7403 | 0.8604 |
| No log | 7.5122 | 308 | 0.7135 | 0.5248 | 0.7135 | 0.8447 |
| No log | 7.5610 | 310 | 0.7117 | 0.5809 | 0.7117 | 0.8436 |
| No log | 7.6098 | 312 | 0.7721 | 0.5054 | 0.7721 | 0.8787 |
| No log | 7.6585 | 314 | 0.8140 | 0.4818 | 0.8140 | 0.9022 |
| No log | 7.7073 | 316 | 0.7565 | 0.4818 | 0.7565 | 0.8698 |
| No log | 7.7561 | 318 | 0.7219 | 0.6025 | 0.7219 | 0.8496 |
| No log | 7.8049 | 320 | 0.7490 | 0.5719 | 0.7490 | 0.8654 |
| No log | 7.8537 | 322 | 0.7806 | 0.5397 | 0.7806 | 0.8835 |
| No log | 7.9024 | 324 | 0.7843 | 0.4946 | 0.7843 | 0.8856 |
| No log | 7.9512 | 326 | 0.8213 | 0.4946 | 0.8213 | 0.9063 |
| No log | 8.0 | 328 | 0.8050 | 0.4958 | 0.8050 | 0.8972 |
| No log | 8.0488 | 330 | 0.8209 | 0.4593 | 0.8209 | 0.9061 |
| No log | 8.0976 | 332 | 0.8384 | 0.5088 | 0.8384 | 0.9156 |
| No log | 8.1463 | 334 | 0.8392 | 0.5070 | 0.8392 | 0.9161 |
| No log | 8.1951 | 336 | 0.8056 | 0.4995 | 0.8056 | 0.8975 |
| No log | 8.2439 | 338 | 0.7947 | 0.4912 | 0.7947 | 0.8914 |
| No log | 8.2927 | 340 | 0.7949 | 0.5329 | 0.7949 | 0.8916 |
| No log | 8.3415 | 342 | 0.8624 | 0.5150 | 0.8624 | 0.9287 |
| No log | 8.3902 | 344 | 0.9937 | 0.5219 | 0.9937 | 0.9968 |
| No log | 8.4390 | 346 | 0.9666 | 0.5013 | 0.9666 | 0.9832 |
| No log | 8.4878 | 348 | 0.8708 | 0.4327 | 0.8708 | 0.9332 |
| No log | 8.5366 | 350 | 0.7964 | 0.4378 | 0.7964 | 0.8924 |
| No log | 8.5854 | 352 | 0.7916 | 0.4151 | 0.7916 | 0.8897 |
| No log | 8.6341 | 354 | 0.7917 | 0.4378 | 0.7917 | 0.8898 |
| No log | 8.6829 | 356 | 0.8400 | 0.4839 | 0.8400 | 0.9165 |
| No log | 8.7317 | 358 | 0.9960 | 0.4902 | 0.9960 | 0.9980 |
| No log | 8.7805 | 360 | 1.1004 | 0.3699 | 1.1004 | 1.0490 |
| No log | 8.8293 | 362 | 1.0546 | 0.4667 | 1.0546 | 1.0270 |
| No log | 8.8780 | 364 | 0.9322 | 0.4455 | 0.9322 | 0.9655 |
| No log | 8.9268 | 366 | 0.8718 | 0.3780 | 0.8718 | 0.9337 |
| No log | 8.9756 | 368 | 0.8250 | 0.4060 | 0.8250 | 0.9083 |
| No log | 9.0244 | 370 | 0.7616 | 0.4198 | 0.7616 | 0.8727 |
| No log | 9.0732 | 372 | 0.7161 | 0.5146 | 0.7161 | 0.8462 |
| No log | 9.1220 | 374 | 0.7114 | 0.5274 | 0.7114 | 0.8435 |
| No log | 9.1707 | 376 | 0.7163 | 0.5361 | 0.7163 | 0.8463 |
| No log | 9.2195 | 378 | 0.7188 | 0.5546 | 0.7188 | 0.8478 |
| No log | 9.2683 | 380 | 0.7192 | 0.5221 | 0.7192 | 0.8480 |
| No log | 9.3171 | 382 | 0.7192 | 0.5503 | 0.7192 | 0.8480 |
| No log | 9.3659 | 384 | 0.7247 | 0.4544 | 0.7247 | 0.8513 |
| No log | 9.4146 | 386 | 0.7307 | 0.4428 | 0.7307 | 0.8548 |
| No log | 9.4634 | 388 | 0.7352 | 0.4923 | 0.7352 | 0.8574 |
| No log | 9.5122 | 390 | 0.7260 | 0.4893 | 0.7260 | 0.8521 |
| No log | 9.5610 | 392 | 0.7660 | 0.5305 | 0.7660 | 0.8752 |
| No log | 9.6098 | 394 | 0.7964 | 0.5153 | 0.7964 | 0.8924 |
| No log | 9.6585 | 396 | 0.7595 | 0.5291 | 0.7595 | 0.8715 |
| No log | 9.7073 | 398 | 0.7166 | 0.4774 | 0.7166 | 0.8465 |
| No log | 9.7561 | 400 | 0.7115 | 0.5032 | 0.7115 | 0.8435 |
| No log | 9.8049 | 402 | 0.7076 | 0.4908 | 0.7076 | 0.8412 |
| No log | 9.8537 | 404 | 0.7319 | 0.5103 | 0.7319 | 0.8555 |
| No log | 9.9024 | 406 | 0.7211 | 0.5232 | 0.7211 | 0.8492 |
| No log | 9.9512 | 408 | 0.7000 | 0.5017 | 0.7000 | 0.8367 |
| No log | 10.0 | 410 | 0.6967 | 0.5112 | 0.6967 | 0.8347 |
| No log | 10.0488 | 412 | 0.6954 | 0.5330 | 0.6954 | 0.8339 |
| No log | 10.0976 | 414 | 0.7292 | 0.6209 | 0.7292 | 0.8539 |
| No log | 10.1463 | 416 | 0.7394 | 0.6209 | 0.7394 | 0.8599 |
| No log | 10.1951 | 418 | 0.6916 | 0.5442 | 0.6916 | 0.8317 |
| No log | 10.2439 | 420 | 0.6662 | 0.6292 | 0.6662 | 0.8162 |
| No log | 10.2927 | 422 | 0.6867 | 0.5879 | 0.6867 | 0.8287 |
| No log | 10.3415 | 424 | 0.6774 | 0.5868 | 0.6774 | 0.8231 |
| No log | 10.3902 | 426 | 0.6884 | 0.5117 | 0.6884 | 0.8297 |
| No log | 10.4390 | 428 | 0.7482 | 0.4946 | 0.7482 | 0.8650 |
| No log | 10.4878 | 430 | 0.7673 | 0.5266 | 0.7673 | 0.8759 |
| No log | 10.5366 | 432 | 0.7427 | 0.5084 | 0.7427 | 0.8618 |
| No log | 10.5854 | 434 | 0.7254 | 0.5810 | 0.7254 | 0.8517 |
| No log | 10.6341 | 436 | 0.7374 | 0.5986 | 0.7374 | 0.8587 |
| No log | 10.6829 | 438 | 0.7227 | 0.5822 | 0.7227 | 0.8501 |
| No log | 10.7317 | 440 | 0.7100 | 0.5498 | 0.7100 | 0.8426 |
| No log | 10.7805 | 442 | 0.7154 | 0.5381 | 0.7154 | 0.8458 |
| No log | 10.8293 | 444 | 0.7238 | 0.5808 | 0.7238 | 0.8508 |
| No log | 10.8780 | 446 | 0.7369 | 0.6014 | 0.7369 | 0.8584 |
| No log | 10.9268 | 448 | 0.7636 | 0.5333 | 0.7636 | 0.8739 |
| No log | 10.9756 | 450 | 0.7625 | 0.4995 | 0.7625 | 0.8732 |
| No log | 11.0244 | 452 | 0.7555 | 0.4269 | 0.7555 | 0.8692 |
| No log | 11.0732 | 454 | 0.7877 | 0.4090 | 0.7877 | 0.8875 |
| No log | 11.1220 | 456 | 0.7886 | 0.4510 | 0.7886 | 0.8880 |
| No log | 11.1707 | 458 | 0.7422 | 0.4691 | 0.7422 | 0.8615 |
| No log | 11.2195 | 460 | 0.7376 | 0.4745 | 0.7376 | 0.8588 |
| No log | 11.2683 | 462 | 0.7848 | 0.5305 | 0.7848 | 0.8859 |
| No log | 11.3171 | 464 | 0.8178 | 0.5504 | 0.8178 | 0.9043 |
| No log | 11.3659 | 466 | 0.7974 | 0.5504 | 0.7974 | 0.8930 |
| No log | 11.4146 | 468 | 0.7609 | 0.5634 | 0.7609 | 0.8723 |
| No log | 11.4634 | 470 | 0.7444 | 0.5645 | 0.7444 | 0.8628 |
| No log | 11.5122 | 472 | 0.7905 | 0.5833 | 0.7905 | 0.8891 |
| No log | 11.5610 | 474 | 0.8976 | 0.5137 | 0.8976 | 0.9474 |
| No log | 11.6098 | 476 | 0.9333 | 0.5013 | 0.9333 | 0.9661 |
| No log | 11.6585 | 478 | 0.9416 | 0.5007 | 0.9416 | 0.9704 |
| No log | 11.7073 | 480 | 0.8712 | 0.5027 | 0.8712 | 0.9334 |
| No log | 11.7561 | 482 | 0.8002 | 0.4696 | 0.8002 | 0.8945 |
| No log | 11.8049 | 484 | 0.7406 | 0.4327 | 0.7406 | 0.8606 |
| No log | 11.8537 | 486 | 0.7079 | 0.4642 | 0.7079 | 0.8413 |
| No log | 11.9024 | 488 | 0.7003 | 0.4642 | 0.7003 | 0.8368 |
| No log | 11.9512 | 490 | 0.7016 | 0.5746 | 0.7016 | 0.8376 |
| No log | 12.0 | 492 | 0.7434 | 0.5708 | 0.7434 | 0.8622 |
| No log | 12.0488 | 494 | 0.7740 | 0.4924 | 0.7740 | 0.8798 |
| No log | 12.0976 | 496 | 0.7620 | 0.5140 | 0.7620 | 0.8729 |
| No log | 12.1463 | 498 | 0.7512 | 0.5160 | 0.7512 | 0.8667 |
| 0.306 | 12.1951 | 500 | 0.7433 | 0.4946 | 0.7433 | 0.8621 |
| 0.306 | 12.2439 | 502 | 0.7504 | 0.4946 | 0.7504 | 0.8663 |
| 0.306 | 12.2927 | 504 | 0.7682 | 0.4696 | 0.7682 | 0.8765 |
| 0.306 | 12.3415 | 506 | 0.7784 | 0.4696 | 0.7784 | 0.8823 |
| 0.306 | 12.3902 | 508 | 0.8064 | 0.4681 | 0.8064 | 0.8980 |
| 0.306 | 12.4390 | 510 | 0.8075 | 0.4796 | 0.8075 | 0.8986 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 1
Model tree for MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k16_task5_organization
Base model
aubmindlab/bert-base-arabertv02