Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k4_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k4_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k4_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k4_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k4_task2_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k4_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: 1.0995
- Qwk: 0.2744
- Mse: 1.0995
- Rmse: 1.0486
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 | 0.1 | 2 | 4.5872 | 0.0010 | 4.5872 | 2.1418 |
| No log | 0.2 | 4 | 2.6599 | -0.0180 | 2.6599 | 1.6309 |
| No log | 0.3 | 6 | 1.9680 | -0.0575 | 1.9680 | 1.4029 |
| No log | 0.4 | 8 | 1.6159 | -0.0109 | 1.6159 | 1.2712 |
| No log | 0.5 | 10 | 1.7703 | -0.1219 | 1.7703 | 1.3305 |
| No log | 0.6 | 12 | 1.6657 | -0.1352 | 1.6657 | 1.2906 |
| No log | 0.7 | 14 | 1.4222 | -0.1340 | 1.4221 | 1.1925 |
| No log | 0.8 | 16 | 1.2857 | 0.1110 | 1.2857 | 1.1339 |
| No log | 0.9 | 18 | 1.3680 | 0.0299 | 1.3680 | 1.1696 |
| No log | 1.0 | 20 | 1.5508 | 0.0512 | 1.5508 | 1.2453 |
| No log | 1.1 | 22 | 1.3578 | 0.1959 | 1.3578 | 1.1652 |
| No log | 1.2 | 24 | 1.1695 | 0.2478 | 1.1695 | 1.0814 |
| No log | 1.3 | 26 | 1.1631 | 0.1984 | 1.1631 | 1.0785 |
| No log | 1.4 | 28 | 1.1397 | 0.2532 | 1.1397 | 1.0676 |
| No log | 1.5 | 30 | 1.1624 | 0.1138 | 1.1624 | 1.0781 |
| No log | 1.6 | 32 | 1.1969 | 0.1448 | 1.1969 | 1.0940 |
| No log | 1.7 | 34 | 1.2772 | 0.1619 | 1.2772 | 1.1301 |
| No log | 1.8 | 36 | 1.4957 | 0.1756 | 1.4957 | 1.2230 |
| No log | 1.9 | 38 | 2.1763 | 0.1018 | 2.1763 | 1.4752 |
| No log | 2.0 | 40 | 2.7098 | 0.0618 | 2.7098 | 1.6462 |
| No log | 2.1 | 42 | 2.6351 | 0.0657 | 2.6351 | 1.6233 |
| No log | 2.2 | 44 | 1.9999 | 0.1145 | 1.9999 | 1.4142 |
| No log | 2.3 | 46 | 1.3115 | 0.1371 | 1.3115 | 1.1452 |
| No log | 2.4 | 48 | 1.0823 | 0.2939 | 1.0823 | 1.0403 |
| No log | 2.5 | 50 | 1.1412 | 0.1722 | 1.1412 | 1.0682 |
| No log | 2.6 | 52 | 1.1275 | 0.3478 | 1.1275 | 1.0618 |
| No log | 2.7 | 54 | 1.1382 | 0.1975 | 1.1382 | 1.0669 |
| No log | 2.8 | 56 | 1.4857 | 0.1742 | 1.4857 | 1.2189 |
| No log | 2.9 | 58 | 1.6993 | 0.2315 | 1.6993 | 1.3036 |
| No log | 3.0 | 60 | 2.0233 | 0.1485 | 2.0233 | 1.4224 |
| No log | 3.1 | 62 | 2.0422 | 0.1485 | 2.0422 | 1.4290 |
| No log | 3.2 | 64 | 1.6632 | 0.2048 | 1.6632 | 1.2897 |
| No log | 3.3 | 66 | 1.4054 | 0.2115 | 1.4054 | 1.1855 |
| No log | 3.4 | 68 | 1.3484 | 0.1979 | 1.3484 | 1.1612 |
| No log | 3.5 | 70 | 1.2882 | 0.2676 | 1.2882 | 1.1350 |
| No log | 3.6 | 72 | 1.1714 | 0.3005 | 1.1714 | 1.0823 |
| No log | 3.7 | 74 | 1.1475 | 0.2718 | 1.1475 | 1.0712 |
| No log | 3.8 | 76 | 1.0245 | 0.3199 | 1.0245 | 1.0122 |
| No log | 3.9 | 78 | 1.0275 | 0.3199 | 1.0275 | 1.0136 |
| No log | 4.0 | 80 | 1.1626 | 0.2772 | 1.1626 | 1.0782 |
| No log | 4.1 | 82 | 1.1937 | 0.2807 | 1.1937 | 1.0925 |
| No log | 4.2 | 84 | 1.0885 | 0.2605 | 1.0885 | 1.0433 |
| No log | 4.3 | 86 | 1.0476 | 0.3639 | 1.0476 | 1.0235 |
| No log | 4.4 | 88 | 1.0670 | 0.2939 | 1.0670 | 1.0329 |
| No log | 4.5 | 90 | 1.0514 | 0.3641 | 1.0514 | 1.0254 |
| No log | 4.6 | 92 | 1.0841 | 0.3059 | 1.0841 | 1.0412 |
| No log | 4.7 | 94 | 1.2652 | 0.2280 | 1.2652 | 1.1248 |
| No log | 4.8 | 96 | 1.2984 | 0.1972 | 1.2984 | 1.1395 |
| No log | 4.9 | 98 | 1.1641 | 0.2374 | 1.1641 | 1.0789 |
| No log | 5.0 | 100 | 1.1193 | 0.2088 | 1.1193 | 1.0580 |
| No log | 5.1 | 102 | 1.1156 | 0.2410 | 1.1156 | 1.0562 |
| No log | 5.2 | 104 | 1.0678 | 0.3544 | 1.0678 | 1.0333 |
| No log | 5.3 | 106 | 1.1066 | 0.3399 | 1.1066 | 1.0519 |
| No log | 5.4 | 108 | 1.0751 | 0.4024 | 1.0751 | 1.0369 |
| No log | 5.5 | 110 | 0.9690 | 0.5555 | 0.9690 | 0.9844 |
| No log | 5.6 | 112 | 1.0326 | 0.4782 | 1.0326 | 1.0162 |
| No log | 5.7 | 114 | 0.9950 | 0.4792 | 0.9950 | 0.9975 |
| No log | 5.8 | 116 | 0.9359 | 0.6002 | 0.9359 | 0.9674 |
| No log | 5.9 | 118 | 0.9592 | 0.4582 | 0.9592 | 0.9794 |
| No log | 6.0 | 120 | 0.9970 | 0.4364 | 0.9970 | 0.9985 |
| No log | 6.1 | 122 | 1.0605 | 0.3213 | 1.0605 | 1.0298 |
| No log | 6.2 | 124 | 1.0885 | 0.3008 | 1.0885 | 1.0433 |
| No log | 6.3 | 126 | 0.9976 | 0.3433 | 0.9976 | 0.9988 |
| No log | 6.4 | 128 | 0.9899 | 0.3862 | 0.9899 | 0.9950 |
| No log | 6.5 | 130 | 1.0026 | 0.3678 | 1.0026 | 1.0013 |
| No log | 6.6 | 132 | 0.9759 | 0.4294 | 0.9759 | 0.9879 |
| No log | 6.7 | 134 | 1.0098 | 0.4556 | 1.0098 | 1.0049 |
| No log | 6.8 | 136 | 1.1593 | 0.3332 | 1.1593 | 1.0767 |
| No log | 6.9 | 138 | 1.3276 | 0.3448 | 1.3276 | 1.1522 |
| No log | 7.0 | 140 | 1.2727 | 0.3177 | 1.2727 | 1.1281 |
| No log | 7.1 | 142 | 1.1580 | 0.4004 | 1.1580 | 1.0761 |
| No log | 7.2 | 144 | 1.1342 | 0.4172 | 1.1342 | 1.0650 |
| No log | 7.3 | 146 | 1.0789 | 0.4120 | 1.0789 | 1.0387 |
| No log | 7.4 | 148 | 1.0561 | 0.3773 | 1.0561 | 1.0276 |
| No log | 7.5 | 150 | 1.0697 | 0.3397 | 1.0697 | 1.0343 |
| No log | 7.6 | 152 | 1.1266 | 0.3207 | 1.1266 | 1.0614 |
| No log | 7.7 | 154 | 1.0798 | 0.3843 | 1.0798 | 1.0392 |
| No log | 7.8 | 156 | 1.0124 | 0.4082 | 1.0124 | 1.0062 |
| No log | 7.9 | 158 | 0.9506 | 0.3554 | 0.9506 | 0.9750 |
| No log | 8.0 | 160 | 0.9644 | 0.4091 | 0.9644 | 0.9821 |
| No log | 8.1 | 162 | 0.9830 | 0.4337 | 0.9830 | 0.9915 |
| No log | 8.2 | 164 | 0.9628 | 0.4750 | 0.9628 | 0.9812 |
| No log | 8.3 | 166 | 1.1153 | 0.4731 | 1.1153 | 1.0561 |
| No log | 8.4 | 168 | 1.1955 | 0.4705 | 1.1955 | 1.0934 |
| No log | 8.5 | 170 | 1.0437 | 0.5244 | 1.0437 | 1.0216 |
| No log | 8.6 | 172 | 0.9805 | 0.4430 | 0.9805 | 0.9902 |
| No log | 8.7 | 174 | 0.9977 | 0.3980 | 0.9977 | 0.9989 |
| No log | 8.8 | 176 | 1.1254 | 0.3949 | 1.1254 | 1.0608 |
| No log | 8.9 | 178 | 1.1233 | 0.3719 | 1.1233 | 1.0599 |
| No log | 9.0 | 180 | 1.1177 | 0.4086 | 1.1177 | 1.0572 |
| No log | 9.1 | 182 | 1.0827 | 0.3546 | 1.0827 | 1.0405 |
| No log | 9.2 | 184 | 1.0326 | 0.4080 | 1.0326 | 1.0162 |
| No log | 9.3 | 186 | 1.0313 | 0.4080 | 1.0313 | 1.0156 |
| No log | 9.4 | 188 | 1.1440 | 0.3361 | 1.1440 | 1.0696 |
| No log | 9.5 | 190 | 1.2092 | 0.3560 | 1.2092 | 1.0997 |
| No log | 9.6 | 192 | 1.3465 | 0.2679 | 1.3465 | 1.1604 |
| No log | 9.7 | 194 | 1.4593 | 0.3101 | 1.4593 | 1.2080 |
| No log | 9.8 | 196 | 1.2515 | 0.3129 | 1.2515 | 1.1187 |
| No log | 9.9 | 198 | 1.0267 | 0.4191 | 1.0267 | 1.0133 |
| No log | 10.0 | 200 | 0.9745 | 0.4964 | 0.9745 | 0.9872 |
| No log | 10.1 | 202 | 0.9705 | 0.5149 | 0.9705 | 0.9851 |
| No log | 10.2 | 204 | 1.0261 | 0.4556 | 1.0261 | 1.0130 |
| No log | 10.3 | 206 | 1.0188 | 0.4119 | 1.0188 | 1.0094 |
| No log | 10.4 | 208 | 0.9837 | 0.4364 | 0.9837 | 0.9918 |
| No log | 10.5 | 210 | 0.9920 | 0.4607 | 0.9920 | 0.9960 |
| No log | 10.6 | 212 | 0.9989 | 0.4607 | 0.9989 | 0.9994 |
| No log | 10.7 | 214 | 1.0037 | 0.4640 | 1.0037 | 1.0019 |
| No log | 10.8 | 216 | 1.0229 | 0.4335 | 1.0229 | 1.0114 |
| No log | 10.9 | 218 | 1.1380 | 0.3475 | 1.1380 | 1.0668 |
| No log | 11.0 | 220 | 1.2256 | 0.3106 | 1.2256 | 1.1071 |
| No log | 11.1 | 222 | 1.1489 | 0.3339 | 1.1489 | 1.0719 |
| No log | 11.2 | 224 | 1.0288 | 0.4483 | 1.0288 | 1.0143 |
| No log | 11.3 | 226 | 1.0059 | 0.3908 | 1.0059 | 1.0029 |
| No log | 11.4 | 228 | 1.0196 | 0.3787 | 1.0196 | 1.0098 |
| No log | 11.5 | 230 | 0.9990 | 0.3711 | 0.9990 | 0.9995 |
| No log | 11.6 | 232 | 1.0384 | 0.3433 | 1.0384 | 1.0190 |
| No log | 11.7 | 234 | 1.1469 | 0.3267 | 1.1469 | 1.0709 |
| No log | 11.8 | 236 | 1.1143 | 0.3613 | 1.1143 | 1.0556 |
| No log | 11.9 | 238 | 1.0433 | 0.3781 | 1.0433 | 1.0214 |
| No log | 12.0 | 240 | 1.0320 | 0.3304 | 1.0320 | 1.0159 |
| No log | 12.1 | 242 | 1.0391 | 0.3304 | 1.0391 | 1.0193 |
| No log | 12.2 | 244 | 1.0612 | 0.3865 | 1.0612 | 1.0302 |
| No log | 12.3 | 246 | 1.1323 | 0.3487 | 1.1323 | 1.0641 |
| No log | 12.4 | 248 | 1.2174 | 0.3249 | 1.2174 | 1.1034 |
| No log | 12.5 | 250 | 1.2089 | 0.3249 | 1.2089 | 1.0995 |
| No log | 12.6 | 252 | 1.0692 | 0.3397 | 1.0692 | 1.0340 |
| No log | 12.7 | 254 | 1.0140 | 0.2803 | 1.0140 | 1.0070 |
| No log | 12.8 | 256 | 1.0217 | 0.3256 | 1.0217 | 1.0108 |
| No log | 12.9 | 258 | 1.0709 | 0.2700 | 1.0709 | 1.0348 |
| No log | 13.0 | 260 | 1.2172 | 0.2870 | 1.2172 | 1.1033 |
| No log | 13.1 | 262 | 1.3855 | 0.2885 | 1.3855 | 1.1771 |
| No log | 13.2 | 264 | 1.3572 | 0.2981 | 1.3572 | 1.1650 |
| No log | 13.3 | 266 | 1.3152 | 0.2863 | 1.3152 | 1.1468 |
| No log | 13.4 | 268 | 1.1878 | 0.3500 | 1.1878 | 1.0899 |
| No log | 13.5 | 270 | 1.0946 | 0.3490 | 1.0946 | 1.0462 |
| No log | 13.6 | 272 | 1.0783 | 0.3625 | 1.0783 | 1.0384 |
| No log | 13.7 | 274 | 1.0377 | 0.3268 | 1.0377 | 1.0187 |
| No log | 13.8 | 276 | 1.0262 | 0.3174 | 1.0262 | 1.0130 |
| No log | 13.9 | 278 | 1.0267 | 0.3542 | 1.0267 | 1.0133 |
| No log | 14.0 | 280 | 1.0288 | 0.3719 | 1.0288 | 1.0143 |
| No log | 14.1 | 282 | 1.0036 | 0.3180 | 1.0036 | 1.0018 |
| No log | 14.2 | 284 | 1.0003 | 0.3180 | 1.0003 | 1.0002 |
| No log | 14.3 | 286 | 1.0142 | 0.4004 | 1.0142 | 1.0071 |
| No log | 14.4 | 288 | 1.0101 | 0.4331 | 1.0101 | 1.0050 |
| No log | 14.5 | 290 | 1.0039 | 0.3796 | 1.0039 | 1.0020 |
| No log | 14.6 | 292 | 1.0212 | 0.4268 | 1.0212 | 1.0105 |
| No log | 14.7 | 294 | 1.0459 | 0.3902 | 1.0459 | 1.0227 |
| No log | 14.8 | 296 | 1.0892 | 0.3494 | 1.0892 | 1.0436 |
| No log | 14.9 | 298 | 1.1070 | 0.3887 | 1.1070 | 1.0521 |
| No log | 15.0 | 300 | 1.1000 | 0.4156 | 1.1000 | 1.0488 |
| No log | 15.1 | 302 | 1.0504 | 0.3952 | 1.0504 | 1.0249 |
| No log | 15.2 | 304 | 1.0500 | 0.3678 | 1.0500 | 1.0247 |
| No log | 15.3 | 306 | 1.0598 | 0.3262 | 1.0598 | 1.0295 |
| No log | 15.4 | 308 | 1.0284 | 0.3869 | 1.0284 | 1.0141 |
| No log | 15.5 | 310 | 1.0142 | 0.3525 | 1.0142 | 1.0071 |
| No log | 15.6 | 312 | 1.0146 | 0.3618 | 1.0146 | 1.0073 |
| No log | 15.7 | 314 | 1.0680 | 0.3865 | 1.0680 | 1.0334 |
| No log | 15.8 | 316 | 1.0728 | 0.4211 | 1.0728 | 1.0358 |
| No log | 15.9 | 318 | 1.0858 | 0.4068 | 1.0858 | 1.0420 |
| No log | 16.0 | 320 | 1.0736 | 0.3453 | 1.0736 | 1.0361 |
| No log | 16.1 | 322 | 1.0822 | 0.3453 | 1.0822 | 1.0403 |
| No log | 16.2 | 324 | 1.0560 | 0.3169 | 1.0560 | 1.0276 |
| No log | 16.3 | 326 | 1.0169 | 0.3154 | 1.0169 | 1.0084 |
| No log | 16.4 | 328 | 0.9961 | 0.3108 | 0.9961 | 0.9980 |
| No log | 16.5 | 330 | 0.9976 | 0.3013 | 0.9976 | 0.9988 |
| No log | 16.6 | 332 | 1.0734 | 0.4259 | 1.0734 | 1.0361 |
| No log | 16.7 | 334 | 1.1396 | 0.3998 | 1.1396 | 1.0675 |
| No log | 16.8 | 336 | 1.0824 | 0.4426 | 1.0824 | 1.0404 |
| No log | 16.9 | 338 | 0.9637 | 0.3607 | 0.9637 | 0.9817 |
| No log | 17.0 | 340 | 0.9438 | 0.4288 | 0.9438 | 0.9715 |
| No log | 17.1 | 342 | 0.9544 | 0.3960 | 0.9544 | 0.9769 |
| No log | 17.2 | 344 | 1.0187 | 0.4426 | 1.0187 | 1.0093 |
| No log | 17.3 | 346 | 1.0288 | 0.4224 | 1.0288 | 1.0143 |
| No log | 17.4 | 348 | 0.9648 | 0.3827 | 0.9648 | 0.9823 |
| No log | 17.5 | 350 | 0.9479 | 0.4385 | 0.9479 | 0.9736 |
| No log | 17.6 | 352 | 0.9535 | 0.3796 | 0.9535 | 0.9765 |
| No log | 17.7 | 354 | 0.9825 | 0.3532 | 0.9825 | 0.9912 |
| No log | 17.8 | 356 | 0.9960 | 0.3519 | 0.9960 | 0.9980 |
| No log | 17.9 | 358 | 0.9717 | 0.4233 | 0.9717 | 0.9857 |
| No log | 18.0 | 360 | 0.9623 | 0.4066 | 0.9623 | 0.9810 |
| No log | 18.1 | 362 | 0.9756 | 0.4007 | 0.9756 | 0.9877 |
| No log | 18.2 | 364 | 0.9793 | 0.3617 | 0.9793 | 0.9896 |
| No log | 18.3 | 366 | 1.0158 | 0.4745 | 1.0158 | 1.0079 |
| No log | 18.4 | 368 | 1.0678 | 0.3883 | 1.0678 | 1.0334 |
| No log | 18.5 | 370 | 1.1074 | 0.3883 | 1.1074 | 1.0523 |
| No log | 18.6 | 372 | 1.0381 | 0.4139 | 1.0381 | 1.0189 |
| No log | 18.7 | 374 | 0.9651 | 0.4070 | 0.9651 | 0.9824 |
| No log | 18.8 | 376 | 0.9440 | 0.3678 | 0.9440 | 0.9716 |
| No log | 18.9 | 378 | 0.9647 | 0.3628 | 0.9647 | 0.9822 |
| No log | 19.0 | 380 | 1.0577 | 0.4336 | 1.0577 | 1.0285 |
| No log | 19.1 | 382 | 1.1250 | 0.4736 | 1.1250 | 1.0606 |
| No log | 19.2 | 384 | 1.0808 | 0.4341 | 1.0808 | 1.0396 |
| No log | 19.3 | 386 | 1.0569 | 0.3624 | 1.0569 | 1.0281 |
| No log | 19.4 | 388 | 1.1218 | 0.3534 | 1.1218 | 1.0592 |
| No log | 19.5 | 390 | 1.1432 | 0.3137 | 1.1432 | 1.0692 |
| No log | 19.6 | 392 | 1.1577 | 0.3117 | 1.1577 | 1.0760 |
| No log | 19.7 | 394 | 1.1365 | 0.2916 | 1.1365 | 1.0661 |
| No log | 19.8 | 396 | 1.1362 | 0.3298 | 1.1362 | 1.0659 |
| No log | 19.9 | 398 | 1.1135 | 0.3883 | 1.1135 | 1.0552 |
| No log | 20.0 | 400 | 1.1281 | 0.3883 | 1.1281 | 1.0621 |
| No log | 20.1 | 402 | 1.1681 | 0.3429 | 1.1681 | 1.0808 |
| No log | 20.2 | 404 | 1.1144 | 0.3595 | 1.1144 | 1.0556 |
| No log | 20.3 | 406 | 1.0175 | 0.3865 | 1.0175 | 1.0087 |
| No log | 20.4 | 408 | 0.9912 | 0.3522 | 0.9912 | 0.9956 |
| No log | 20.5 | 410 | 1.0106 | 0.3664 | 1.0106 | 1.0053 |
| No log | 20.6 | 412 | 0.9882 | 0.3268 | 0.9882 | 0.9941 |
| No log | 20.7 | 414 | 0.9916 | 0.3965 | 0.9916 | 0.9958 |
| No log | 20.8 | 416 | 1.0068 | 0.3412 | 1.0068 | 1.0034 |
| No log | 20.9 | 418 | 1.0150 | 0.3412 | 1.0150 | 1.0075 |
| No log | 21.0 | 420 | 0.9918 | 0.3796 | 0.9918 | 0.9959 |
| No log | 21.1 | 422 | 0.9996 | 0.3268 | 0.9996 | 0.9998 |
| No log | 21.2 | 424 | 1.0016 | 0.3268 | 1.0016 | 1.0008 |
| No log | 21.3 | 426 | 0.9965 | 0.3891 | 0.9965 | 0.9982 |
| No log | 21.4 | 428 | 1.0185 | 0.3913 | 1.0185 | 1.0092 |
| No log | 21.5 | 430 | 1.0439 | 0.3584 | 1.0439 | 1.0217 |
| No log | 21.6 | 432 | 1.0964 | 0.3532 | 1.0964 | 1.0471 |
| No log | 21.7 | 434 | 1.1146 | 0.3805 | 1.1146 | 1.0558 |
| No log | 21.8 | 436 | 1.0771 | 0.3312 | 1.0771 | 1.0378 |
| No log | 21.9 | 438 | 1.0597 | 0.2588 | 1.0597 | 1.0294 |
| No log | 22.0 | 440 | 1.0688 | 0.2327 | 1.0688 | 1.0338 |
| No log | 22.1 | 442 | 1.0840 | 0.2431 | 1.0840 | 1.0412 |
| No log | 22.2 | 444 | 1.1397 | 0.2871 | 1.1397 | 1.0675 |
| No log | 22.3 | 446 | 1.2282 | 0.2825 | 1.2282 | 1.1082 |
| No log | 22.4 | 448 | 1.3498 | 0.2815 | 1.3498 | 1.1618 |
| No log | 22.5 | 450 | 1.3392 | 0.3370 | 1.3392 | 1.1572 |
| No log | 22.6 | 452 | 1.2186 | 0.3157 | 1.2186 | 1.1039 |
| No log | 22.7 | 454 | 1.1342 | 0.2902 | 1.1342 | 1.0650 |
| No log | 22.8 | 456 | 1.0999 | 0.2777 | 1.0999 | 1.0487 |
| No log | 22.9 | 458 | 1.0907 | 0.2911 | 1.0907 | 1.0444 |
| No log | 23.0 | 460 | 1.0850 | 0.2777 | 1.0850 | 1.0416 |
| No log | 23.1 | 462 | 1.0952 | 0.2650 | 1.0952 | 1.0465 |
| No log | 23.2 | 464 | 1.1203 | 0.2685 | 1.1203 | 1.0584 |
| No log | 23.3 | 466 | 1.1053 | 0.3010 | 1.1053 | 1.0513 |
| No log | 23.4 | 468 | 1.0794 | 0.2824 | 1.0794 | 1.0389 |
| No log | 23.5 | 470 | 1.0800 | 0.3126 | 1.0800 | 1.0392 |
| No log | 23.6 | 472 | 1.0970 | 0.3126 | 1.0970 | 1.0474 |
| No log | 23.7 | 474 | 1.0667 | 0.3218 | 1.0667 | 1.0328 |
| No log | 23.8 | 476 | 1.0572 | 0.2786 | 1.0572 | 1.0282 |
| No log | 23.9 | 478 | 1.0392 | 0.3016 | 1.0392 | 1.0194 |
| No log | 24.0 | 480 | 1.0376 | 0.3105 | 1.0376 | 1.0186 |
| No log | 24.1 | 482 | 1.0379 | 0.3062 | 1.0379 | 1.0188 |
| No log | 24.2 | 484 | 1.0445 | 0.3522 | 1.0445 | 1.0220 |
| No log | 24.3 | 486 | 1.0445 | 0.3016 | 1.0445 | 1.0220 |
| No log | 24.4 | 488 | 1.0587 | 0.3527 | 1.0587 | 1.0289 |
| No log | 24.5 | 490 | 1.0866 | 0.3745 | 1.0866 | 1.0424 |
| No log | 24.6 | 492 | 1.1306 | 0.3115 | 1.1306 | 1.0633 |
| No log | 24.7 | 494 | 1.1325 | 0.3115 | 1.1325 | 1.0642 |
| No log | 24.8 | 496 | 1.0910 | 0.3297 | 1.0910 | 1.0445 |
| No log | 24.9 | 498 | 1.0624 | 0.3194 | 1.0624 | 1.0307 |
| 0.32 | 25.0 | 500 | 1.0483 | 0.4066 | 1.0483 | 1.0238 |
| 0.32 | 25.1 | 502 | 1.0600 | 0.3476 | 1.0600 | 1.0296 |
| 0.32 | 25.2 | 504 | 1.0816 | 0.2624 | 1.0816 | 1.0400 |
| 0.32 | 25.3 | 506 | 1.0784 | 0.2624 | 1.0784 | 1.0384 |
| 0.32 | 25.4 | 508 | 1.0779 | 0.2777 | 1.0779 | 1.0382 |
| 0.32 | 25.5 | 510 | 1.0995 | 0.2744 | 1.0995 | 1.0486 |
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_run3_AugV5_k4_task2_organization
Base model
aubmindlab/bert-base-arabertv02