ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k9_task3_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: 0.7322
- Qwk: 0.0628
- Mse: 0.7322
- Rmse: 0.8557
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 | 3.6281 | 0.0035 | 3.6281 | 1.9048 |
No log | 0.0851 | 4 | 1.7507 | 0.0425 | 1.7507 | 1.3231 |
No log | 0.1277 | 6 | 1.4924 | -0.0466 | 1.4924 | 1.2216 |
No log | 0.1702 | 8 | 1.0577 | -0.0345 | 1.0577 | 1.0284 |
No log | 0.2128 | 10 | 0.7084 | 0.0334 | 0.7084 | 0.8417 |
No log | 0.2553 | 12 | 0.6942 | -0.0101 | 0.6942 | 0.8332 |
No log | 0.2979 | 14 | 0.6561 | 0.0 | 0.6561 | 0.8100 |
No log | 0.3404 | 16 | 0.6936 | 0.0 | 0.6936 | 0.8328 |
No log | 0.3830 | 18 | 0.6816 | 0.0 | 0.6816 | 0.8256 |
No log | 0.4255 | 20 | 0.7014 | 0.0857 | 0.7014 | 0.8375 |
No log | 0.4681 | 22 | 1.3469 | 0.0627 | 1.3469 | 1.1606 |
No log | 0.5106 | 24 | 1.0185 | 0.0104 | 1.0185 | 1.0092 |
No log | 0.5532 | 26 | 0.7644 | 0.0999 | 0.7644 | 0.8743 |
No log | 0.5957 | 28 | 0.6963 | 0.0857 | 0.6963 | 0.8345 |
No log | 0.6383 | 30 | 0.7218 | 0.1627 | 0.7218 | 0.8496 |
No log | 0.6809 | 32 | 0.8130 | 0.0956 | 0.8130 | 0.9017 |
No log | 0.7234 | 34 | 1.2530 | 0.0866 | 1.2530 | 1.1194 |
No log | 0.7660 | 36 | 1.1573 | 0.0415 | 1.1573 | 1.0758 |
No log | 0.8085 | 38 | 0.8753 | 0.0876 | 0.8753 | 0.9356 |
No log | 0.8511 | 40 | 0.8011 | 0.0884 | 0.8011 | 0.8950 |
No log | 0.8936 | 42 | 0.9270 | 0.1329 | 0.9270 | 0.9628 |
No log | 0.9362 | 44 | 1.4796 | 0.0564 | 1.4796 | 1.2164 |
No log | 0.9787 | 46 | 1.0751 | 0.0046 | 1.0751 | 1.0369 |
No log | 1.0213 | 48 | 0.7446 | 0.0662 | 0.7446 | 0.8629 |
No log | 1.0638 | 50 | 0.8333 | 0.0705 | 0.8333 | 0.9129 |
No log | 1.1064 | 52 | 0.8002 | -0.0678 | 0.8002 | 0.8946 |
No log | 1.1489 | 54 | 0.7126 | 0.0759 | 0.7126 | 0.8442 |
No log | 1.1915 | 56 | 0.8259 | 0.0233 | 0.8259 | 0.9088 |
No log | 1.2340 | 58 | 0.7036 | 0.1644 | 0.7036 | 0.8388 |
No log | 1.2766 | 60 | 0.7580 | 0.1408 | 0.7580 | 0.8707 |
No log | 1.3191 | 62 | 0.8637 | 0.0753 | 0.8637 | 0.9293 |
No log | 1.3617 | 64 | 0.7649 | 0.2118 | 0.7649 | 0.8746 |
No log | 1.4043 | 66 | 1.0906 | 0.0426 | 1.0906 | 1.0443 |
No log | 1.4468 | 68 | 1.0531 | 0.0741 | 1.0531 | 1.0262 |
No log | 1.4894 | 70 | 0.8039 | 0.0074 | 0.8039 | 0.8966 |
No log | 1.5319 | 72 | 0.7778 | 0.0846 | 0.7778 | 0.8819 |
No log | 1.5745 | 74 | 0.8039 | -0.0303 | 0.8039 | 0.8966 |
No log | 1.6170 | 76 | 0.7763 | 0.1240 | 0.7763 | 0.8811 |
No log | 1.6596 | 78 | 0.8076 | 0.1604 | 0.8076 | 0.8987 |
No log | 1.7021 | 80 | 1.0833 | 0.0428 | 1.0833 | 1.0408 |
No log | 1.7447 | 82 | 0.9847 | 0.1222 | 0.9847 | 0.9923 |
No log | 1.7872 | 84 | 0.8887 | 0.0860 | 0.8887 | 0.9427 |
No log | 1.8298 | 86 | 0.8854 | 0.0459 | 0.8854 | 0.9410 |
No log | 1.8723 | 88 | 1.0765 | 0.1112 | 1.0765 | 1.0376 |
No log | 1.9149 | 90 | 1.1371 | 0.0694 | 1.1371 | 1.0663 |
No log | 1.9574 | 92 | 0.8058 | 0.1561 | 0.8058 | 0.8977 |
No log | 2.0 | 94 | 0.7917 | 0.0408 | 0.7917 | 0.8898 |
No log | 2.0426 | 96 | 0.9054 | -0.0685 | 0.9054 | 0.9515 |
No log | 2.0851 | 98 | 0.8573 | 0.0654 | 0.8573 | 0.9259 |
No log | 2.1277 | 100 | 0.7936 | -0.0675 | 0.7936 | 0.8908 |
No log | 2.1702 | 102 | 0.9662 | -0.0504 | 0.9662 | 0.9830 |
No log | 2.2128 | 104 | 0.9994 | -0.0532 | 0.9994 | 0.9997 |
No log | 2.2553 | 106 | 0.7947 | -0.0145 | 0.7947 | 0.8915 |
No log | 2.2979 | 108 | 0.7866 | -0.0506 | 0.7866 | 0.8869 |
No log | 2.3404 | 110 | 0.9032 | -0.1011 | 0.9032 | 0.9504 |
No log | 2.3830 | 112 | 0.9124 | -0.0696 | 0.9124 | 0.9552 |
No log | 2.4255 | 114 | 0.8187 | 0.0690 | 0.8187 | 0.9048 |
No log | 2.4681 | 116 | 1.0431 | 0.0451 | 1.0431 | 1.0213 |
No log | 2.5106 | 118 | 0.8236 | 0.1800 | 0.8236 | 0.9076 |
No log | 2.5532 | 120 | 0.8590 | 0.0319 | 0.8590 | 0.9268 |
No log | 2.5957 | 122 | 0.9396 | 0.0481 | 0.9396 | 0.9693 |
No log | 2.6383 | 124 | 0.7635 | 0.0989 | 0.7635 | 0.8738 |
No log | 2.6809 | 126 | 1.0380 | 0.0778 | 1.0380 | 1.0188 |
No log | 2.7234 | 128 | 1.4091 | 0.0819 | 1.4091 | 1.1871 |
No log | 2.7660 | 130 | 1.0884 | 0.0104 | 1.0884 | 1.0433 |
No log | 2.8085 | 132 | 0.7981 | 0.0909 | 0.7981 | 0.8934 |
No log | 2.8511 | 134 | 0.9300 | -0.0014 | 0.9300 | 0.9644 |
No log | 2.8936 | 136 | 0.8780 | -0.0123 | 0.8780 | 0.9370 |
No log | 2.9362 | 138 | 0.8481 | 0.2827 | 0.8481 | 0.9209 |
No log | 2.9787 | 140 | 0.9426 | 0.1222 | 0.9426 | 0.9709 |
No log | 3.0213 | 142 | 0.8133 | 0.1001 | 0.8133 | 0.9018 |
No log | 3.0638 | 144 | 0.7079 | 0.0814 | 0.7079 | 0.8413 |
No log | 3.1064 | 146 | 0.7180 | 0.2326 | 0.7180 | 0.8474 |
No log | 3.1489 | 148 | 0.7820 | 0.0955 | 0.7820 | 0.8843 |
No log | 3.1915 | 150 | 0.8285 | 0.1304 | 0.8285 | 0.9102 |
No log | 3.2340 | 152 | 0.9702 | 0.2291 | 0.9702 | 0.9850 |
No log | 3.2766 | 154 | 0.9660 | 0.1166 | 0.9660 | 0.9828 |
No log | 3.3191 | 156 | 0.9883 | 0.0673 | 0.9883 | 0.9942 |
No log | 3.3617 | 158 | 0.8586 | 0.1313 | 0.8586 | 0.9266 |
No log | 3.4043 | 160 | 0.7793 | 0.1143 | 0.7793 | 0.8828 |
No log | 3.4468 | 162 | 0.8108 | -0.0767 | 0.8108 | 0.9005 |
No log | 3.4894 | 164 | 0.7552 | 0.1856 | 0.7552 | 0.8690 |
No log | 3.5319 | 166 | 0.7600 | 0.1423 | 0.7600 | 0.8718 |
No log | 3.5745 | 168 | 0.8387 | 0.0183 | 0.8387 | 0.9158 |
No log | 3.6170 | 170 | 1.0478 | 0.0169 | 1.0478 | 1.0236 |
No log | 3.6596 | 172 | 0.8785 | 0.0650 | 0.8785 | 0.9373 |
No log | 3.7021 | 174 | 0.9178 | 0.0641 | 0.9178 | 0.9580 |
No log | 3.7447 | 176 | 0.8870 | 0.0265 | 0.8870 | 0.9418 |
No log | 3.7872 | 178 | 0.8030 | 0.1333 | 0.8030 | 0.8961 |
No log | 3.8298 | 180 | 0.7673 | 0.1404 | 0.7673 | 0.8760 |
No log | 3.8723 | 182 | 0.7995 | 0.1408 | 0.7995 | 0.8942 |
No log | 3.9149 | 184 | 0.7767 | 0.1425 | 0.7767 | 0.8813 |
No log | 3.9574 | 186 | 0.7751 | 0.0723 | 0.7751 | 0.8804 |
No log | 4.0 | 188 | 0.8436 | 0.0538 | 0.8436 | 0.9185 |
No log | 4.0426 | 190 | 0.8090 | 0.0574 | 0.8090 | 0.8995 |
No log | 4.0851 | 192 | 0.8035 | 0.0993 | 0.8035 | 0.8964 |
No log | 4.1277 | 194 | 0.9658 | -0.0269 | 0.9658 | 0.9828 |
No log | 4.1702 | 196 | 0.8505 | 0.0623 | 0.8505 | 0.9222 |
No log | 4.2128 | 198 | 0.7511 | 0.1254 | 0.7511 | 0.8667 |
No log | 4.2553 | 200 | 0.8433 | 0.1193 | 0.8433 | 0.9183 |
No log | 4.2979 | 202 | 0.8628 | 0.0793 | 0.8628 | 0.9289 |
No log | 4.3404 | 204 | 0.7131 | 0.1758 | 0.7131 | 0.8444 |
No log | 4.3830 | 206 | 0.7441 | 0.0545 | 0.7441 | 0.8626 |
No log | 4.4255 | 208 | 0.7350 | 0.1761 | 0.7350 | 0.8573 |
No log | 4.4681 | 210 | 0.8088 | 0.1506 | 0.8088 | 0.8993 |
No log | 4.5106 | 212 | 0.9173 | 0.0676 | 0.9173 | 0.9577 |
No log | 4.5532 | 214 | 0.7673 | 0.0303 | 0.7673 | 0.8760 |
No log | 4.5957 | 216 | 0.7921 | 0.1272 | 0.7921 | 0.8900 |
No log | 4.6383 | 218 | 0.8998 | 0.0028 | 0.8998 | 0.9486 |
No log | 4.6809 | 220 | 0.8268 | 0.1673 | 0.8268 | 0.9093 |
No log | 4.7234 | 222 | 0.8686 | 0.0586 | 0.8686 | 0.9320 |
No log | 4.7660 | 224 | 0.9423 | 0.0363 | 0.9423 | 0.9707 |
No log | 4.8085 | 226 | 0.8102 | 0.0289 | 0.8102 | 0.9001 |
No log | 4.8511 | 228 | 0.7781 | 0.1340 | 0.7781 | 0.8821 |
No log | 4.8936 | 230 | 0.8056 | 0.0249 | 0.8056 | 0.8975 |
No log | 4.9362 | 232 | 0.7293 | 0.0089 | 0.7293 | 0.8540 |
No log | 4.9787 | 234 | 0.7506 | 0.1565 | 0.7506 | 0.8664 |
No log | 5.0213 | 236 | 1.0676 | 0.0067 | 1.0676 | 1.0332 |
No log | 5.0638 | 238 | 0.9807 | -0.0200 | 0.9807 | 0.9903 |
No log | 5.1064 | 240 | 0.7022 | 0.1828 | 0.7022 | 0.8380 |
No log | 5.1489 | 242 | 0.8034 | 0.0654 | 0.8034 | 0.8963 |
No log | 5.1915 | 244 | 0.8594 | 0.0968 | 0.8594 | 0.9270 |
No log | 5.2340 | 246 | 0.8099 | 0.1580 | 0.8099 | 0.9000 |
No log | 5.2766 | 248 | 1.0171 | 0.1461 | 1.0171 | 1.0085 |
No log | 5.3191 | 250 | 1.0895 | 0.0679 | 1.0895 | 1.0438 |
No log | 5.3617 | 252 | 0.8345 | 0.0452 | 0.8345 | 0.9135 |
No log | 5.4043 | 254 | 0.7376 | 0.1379 | 0.7376 | 0.8588 |
No log | 5.4468 | 256 | 0.7446 | 0.0989 | 0.7446 | 0.8629 |
No log | 5.4894 | 258 | 0.6880 | 0.0436 | 0.6880 | 0.8295 |
No log | 5.5319 | 260 | 0.7060 | 0.1259 | 0.7060 | 0.8402 |
No log | 5.5745 | 262 | 0.7743 | 0.1965 | 0.7743 | 0.8799 |
No log | 5.6170 | 264 | 0.7775 | 0.2096 | 0.7775 | 0.8818 |
No log | 5.6596 | 266 | 0.8615 | 0.0203 | 0.8615 | 0.9282 |
No log | 5.7021 | 268 | 0.9133 | -0.0055 | 0.9133 | 0.9557 |
No log | 5.7447 | 270 | 0.8648 | 0.1290 | 0.8648 | 0.9300 |
No log | 5.7872 | 272 | 0.8235 | 0.1673 | 0.8235 | 0.9075 |
No log | 5.8298 | 274 | 0.8055 | 0.1135 | 0.8055 | 0.8975 |
No log | 5.8723 | 276 | 0.7714 | 0.2181 | 0.7714 | 0.8783 |
No log | 5.9149 | 278 | 0.7529 | 0.1769 | 0.7529 | 0.8677 |
No log | 5.9574 | 280 | 0.7416 | 0.1882 | 0.7416 | 0.8612 |
No log | 6.0 | 282 | 0.7478 | 0.1371 | 0.7478 | 0.8647 |
No log | 6.0426 | 284 | 0.7440 | 0.1371 | 0.7440 | 0.8626 |
No log | 6.0851 | 286 | 0.7402 | 0.1371 | 0.7402 | 0.8603 |
No log | 6.1277 | 288 | 0.7338 | 0.1371 | 0.7338 | 0.8566 |
No log | 6.1702 | 290 | 0.7611 | 0.0650 | 0.7611 | 0.8724 |
No log | 6.2128 | 292 | 0.7302 | 0.0914 | 0.7302 | 0.8545 |
No log | 6.2553 | 294 | 0.7409 | 0.2326 | 0.7409 | 0.8607 |
No log | 6.2979 | 296 | 0.7423 | 0.1423 | 0.7423 | 0.8615 |
No log | 6.3404 | 298 | 0.7968 | 0.0871 | 0.7968 | 0.8926 |
No log | 6.3830 | 300 | 0.8260 | 0.1646 | 0.8260 | 0.9088 |
No log | 6.4255 | 302 | 0.7472 | 0.1815 | 0.7472 | 0.8644 |
No log | 6.4681 | 304 | 0.8566 | 0.0220 | 0.8566 | 0.9255 |
No log | 6.5106 | 306 | 0.8442 | 0.0952 | 0.8442 | 0.9188 |
No log | 6.5532 | 308 | 0.8179 | 0.0947 | 0.8179 | 0.9044 |
No log | 6.5957 | 310 | 0.8207 | 0.0113 | 0.8207 | 0.9059 |
No log | 6.6383 | 312 | 0.8863 | -0.0054 | 0.8863 | 0.9414 |
No log | 6.6809 | 314 | 0.7597 | 0.1196 | 0.7597 | 0.8716 |
No log | 6.7234 | 316 | 0.7400 | 0.0926 | 0.7400 | 0.8602 |
No log | 6.7660 | 318 | 0.7383 | 0.0926 | 0.7383 | 0.8592 |
No log | 6.8085 | 320 | 0.7302 | 0.0926 | 0.7302 | 0.8545 |
No log | 6.8511 | 322 | 0.7957 | 0.1001 | 0.7957 | 0.8920 |
No log | 6.8936 | 324 | 0.8228 | 0.0456 | 0.8228 | 0.9071 |
No log | 6.9362 | 326 | 0.7698 | 0.0776 | 0.7698 | 0.8774 |
No log | 6.9787 | 328 | 0.7801 | 0.0985 | 0.7801 | 0.8832 |
No log | 7.0213 | 330 | 0.8645 | 0.0592 | 0.8645 | 0.9298 |
No log | 7.0638 | 332 | 0.8085 | 0.0940 | 0.8085 | 0.8992 |
No log | 7.1064 | 334 | 0.7780 | 0.2070 | 0.7780 | 0.8820 |
No log | 7.1489 | 336 | 0.8801 | 0.0915 | 0.8801 | 0.9382 |
No log | 7.1915 | 338 | 0.8174 | 0.1150 | 0.8174 | 0.9041 |
No log | 7.2340 | 340 | 0.7243 | 0.0776 | 0.7243 | 0.8511 |
No log | 7.2766 | 342 | 0.7276 | 0.1404 | 0.7276 | 0.8530 |
No log | 7.3191 | 344 | 0.7220 | 0.1254 | 0.7220 | 0.8497 |
No log | 7.3617 | 346 | 0.7676 | 0.1096 | 0.7676 | 0.8761 |
No log | 7.4043 | 348 | 0.7881 | 0.1096 | 0.7881 | 0.8877 |
No log | 7.4468 | 350 | 0.7844 | 0.1612 | 0.7844 | 0.8857 |
No log | 7.4894 | 352 | 0.7806 | 0.1139 | 0.7806 | 0.8835 |
No log | 7.5319 | 354 | 0.8142 | 0.1580 | 0.8142 | 0.9023 |
No log | 7.5745 | 356 | 0.8309 | 0.1538 | 0.8309 | 0.9116 |
No log | 7.6170 | 358 | 0.8051 | 0.2121 | 0.8051 | 0.8973 |
No log | 7.6596 | 360 | 0.8789 | 0.1935 | 0.8789 | 0.9375 |
No log | 7.7021 | 362 | 1.0159 | 0.1258 | 1.0159 | 1.0079 |
No log | 7.7447 | 364 | 1.0758 | 0.0924 | 1.0758 | 1.0372 |
No log | 7.7872 | 366 | 1.0332 | 0.1285 | 1.0332 | 1.0164 |
No log | 7.8298 | 368 | 1.0400 | 0.1285 | 1.0400 | 1.0198 |
No log | 7.8723 | 370 | 1.0612 | 0.1289 | 1.0612 | 1.0302 |
No log | 7.9149 | 372 | 0.9911 | 0.0958 | 0.9911 | 0.9955 |
No log | 7.9574 | 374 | 0.8855 | 0.1850 | 0.8855 | 0.9410 |
No log | 8.0 | 376 | 0.9062 | 0.1718 | 0.9062 | 0.9520 |
No log | 8.0426 | 378 | 0.9893 | 0.1182 | 0.9893 | 0.9947 |
No log | 8.0851 | 380 | 0.9607 | 0.0824 | 0.9607 | 0.9802 |
No log | 8.1277 | 382 | 0.8715 | 0.2083 | 0.8715 | 0.9335 |
No log | 8.1702 | 384 | 0.8339 | 0.1899 | 0.8339 | 0.9132 |
No log | 8.2128 | 386 | 0.9284 | 0.1509 | 0.9284 | 0.9636 |
No log | 8.2553 | 388 | 1.0130 | 0.0707 | 1.0130 | 1.0065 |
No log | 8.2979 | 390 | 0.8934 | 0.1758 | 0.8934 | 0.9452 |
No log | 8.3404 | 392 | 0.7275 | 0.1787 | 0.7275 | 0.8529 |
No log | 8.3830 | 394 | 0.8174 | 0.0600 | 0.8174 | 0.9041 |
No log | 8.4255 | 396 | 0.8415 | 0.0681 | 0.8415 | 0.9173 |
No log | 8.4681 | 398 | 0.7333 | 0.1395 | 0.7333 | 0.8563 |
No log | 8.5106 | 400 | 0.7617 | 0.1691 | 0.7617 | 0.8728 |
No log | 8.5532 | 402 | 0.9766 | 0.0810 | 0.9766 | 0.9883 |
No log | 8.5957 | 404 | 1.0406 | 0.0391 | 1.0406 | 1.0201 |
No log | 8.6383 | 406 | 0.8876 | 0.0304 | 0.8876 | 0.9421 |
No log | 8.6809 | 408 | 0.6975 | 0.1828 | 0.6975 | 0.8352 |
No log | 8.7234 | 410 | 0.7144 | 0.0973 | 0.7144 | 0.8452 |
No log | 8.7660 | 412 | 0.7306 | 0.1860 | 0.7306 | 0.8548 |
No log | 8.8085 | 414 | 0.7051 | 0.1807 | 0.7051 | 0.8397 |
No log | 8.8511 | 416 | 0.7076 | 0.1807 | 0.7076 | 0.8412 |
No log | 8.8936 | 418 | 0.7225 | 0.1828 | 0.7225 | 0.8500 |
No log | 8.9362 | 420 | 0.7185 | 0.1758 | 0.7185 | 0.8476 |
No log | 8.9787 | 422 | 0.7016 | 0.1444 | 0.7016 | 0.8376 |
No log | 9.0213 | 424 | 0.7144 | 0.1423 | 0.7144 | 0.8452 |
No log | 9.0638 | 426 | 0.7364 | 0.1354 | 0.7364 | 0.8582 |
No log | 9.1064 | 428 | 0.7761 | 0.1633 | 0.7761 | 0.8810 |
No log | 9.1489 | 430 | 0.7771 | 0.1761 | 0.7771 | 0.8816 |
No log | 9.1915 | 432 | 0.7579 | 0.1751 | 0.7579 | 0.8706 |
No log | 9.2340 | 434 | 0.7596 | 0.0741 | 0.7596 | 0.8716 |
No log | 9.2766 | 436 | 0.7645 | 0.1347 | 0.7645 | 0.8743 |
No log | 9.3191 | 438 | 0.8149 | 0.1697 | 0.8149 | 0.9027 |
No log | 9.3617 | 440 | 0.8045 | 0.1714 | 0.8045 | 0.8969 |
No log | 9.4043 | 442 | 0.8155 | 0.0181 | 0.8155 | 0.9031 |
No log | 9.4468 | 444 | 0.8972 | 0.0623 | 0.8972 | 0.9472 |
No log | 9.4894 | 446 | 0.8161 | 0.0639 | 0.8161 | 0.9034 |
No log | 9.5319 | 448 | 0.7711 | 0.0236 | 0.7711 | 0.8781 |
No log | 9.5745 | 450 | 0.7666 | 0.0236 | 0.7666 | 0.8755 |
No log | 9.6170 | 452 | 0.7909 | 0.1047 | 0.7909 | 0.8894 |
No log | 9.6596 | 454 | 0.7542 | 0.0670 | 0.7542 | 0.8685 |
No log | 9.7021 | 456 | 0.7604 | 0.0600 | 0.7604 | 0.8720 |
No log | 9.7447 | 458 | 0.7622 | 0.1675 | 0.7622 | 0.8731 |
No log | 9.7872 | 460 | 0.7552 | 0.2070 | 0.7552 | 0.8690 |
No log | 9.8298 | 462 | 0.7556 | 0.2096 | 0.7556 | 0.8693 |
No log | 9.8723 | 464 | 0.8166 | 0.1281 | 0.8166 | 0.9037 |
No log | 9.9149 | 466 | 1.0230 | 0.1316 | 1.0230 | 1.0114 |
No log | 9.9574 | 468 | 0.9983 | 0.0707 | 0.9983 | 0.9992 |
No log | 10.0 | 470 | 0.8461 | 0.0424 | 0.8461 | 0.9198 |
No log | 10.0426 | 472 | 0.7952 | 0.0999 | 0.7952 | 0.8917 |
No log | 10.0851 | 474 | 0.7524 | 0.1541 | 0.7524 | 0.8674 |
No log | 10.1277 | 476 | 0.7471 | 0.1751 | 0.7471 | 0.8644 |
No log | 10.1702 | 478 | 0.7354 | 0.1404 | 0.7354 | 0.8576 |
No log | 10.2128 | 480 | 0.7366 | 0.1148 | 0.7366 | 0.8583 |
No log | 10.2553 | 482 | 0.8705 | 0.0786 | 0.8705 | 0.9330 |
No log | 10.2979 | 484 | 0.9084 | -0.0490 | 0.9084 | 0.9531 |
No log | 10.3404 | 486 | 0.7894 | 0.0512 | 0.7894 | 0.8885 |
No log | 10.3830 | 488 | 0.6655 | 0.1444 | 0.6655 | 0.8158 |
No log | 10.4255 | 490 | 0.6610 | 0.0964 | 0.6610 | 0.8130 |
No log | 10.4681 | 492 | 0.6690 | 0.0964 | 0.6690 | 0.8179 |
No log | 10.5106 | 494 | 0.7141 | 0.1828 | 0.7141 | 0.8450 |
No log | 10.5532 | 496 | 0.7767 | 0.1379 | 0.7767 | 0.8813 |
No log | 10.5957 | 498 | 0.8140 | 0.0917 | 0.8140 | 0.9022 |
0.2965 | 10.6383 | 500 | 0.8184 | 0.0917 | 0.8184 | 0.9047 |
0.2965 | 10.6809 | 502 | 0.8287 | 0.0799 | 0.8287 | 0.9103 |
0.2965 | 10.7234 | 504 | 0.8104 | 0.0512 | 0.8104 | 0.9002 |
0.2965 | 10.7660 | 506 | 0.8056 | 0.0512 | 0.8056 | 0.8976 |
0.2965 | 10.8085 | 508 | 0.7695 | 0.0512 | 0.7695 | 0.8772 |
0.2965 | 10.8511 | 510 | 0.7322 | 0.0628 | 0.7322 | 0.8557 |
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_run2_AugV5_k9_task3_organization
Base model
aubmindlab/bert-base-arabertv02