Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k19_task5_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_run1_AugV5_k19_task5_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_run1_AugV5_k19_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k19_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k19_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k19_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: 1.1043
- Qwk: 0.1567
- Mse: 1.1043
- Rmse: 1.0508
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 | 0.0222 | 2 | 4.1110 | 0.0078 | 4.1110 | 2.0276 |
| No log | 0.0444 | 4 | 2.0774 | 0.0348 | 2.0774 | 1.4413 |
| No log | 0.0667 | 6 | 1.3905 | 0.0759 | 1.3905 | 1.1792 |
| No log | 0.0889 | 8 | 1.3746 | 0.1428 | 1.3746 | 1.1724 |
| No log | 0.1111 | 10 | 1.0627 | 0.1532 | 1.0627 | 1.0309 |
| No log | 0.1333 | 12 | 1.0553 | 0.1935 | 1.0553 | 1.0273 |
| No log | 0.1556 | 14 | 1.2119 | 0.1783 | 1.2119 | 1.1009 |
| No log | 0.1778 | 16 | 2.0084 | 0.1225 | 2.0084 | 1.4172 |
| No log | 0.2 | 18 | 2.2647 | 0.0679 | 2.2647 | 1.5049 |
| No log | 0.2222 | 20 | 1.6779 | 0.1550 | 1.6779 | 1.2953 |
| No log | 0.2444 | 22 | 1.2421 | 0.3163 | 1.2421 | 1.1145 |
| No log | 0.2667 | 24 | 1.1845 | 0.2261 | 1.1845 | 1.0883 |
| No log | 0.2889 | 26 | 1.2881 | 0.2707 | 1.2881 | 1.1349 |
| No log | 0.3111 | 28 | 1.3545 | 0.2768 | 1.3545 | 1.1638 |
| No log | 0.3333 | 30 | 1.2471 | 0.2729 | 1.2471 | 1.1168 |
| No log | 0.3556 | 32 | 1.0608 | 0.2801 | 1.0608 | 1.0300 |
| No log | 0.3778 | 34 | 0.9887 | 0.3643 | 0.9887 | 0.9943 |
| No log | 0.4 | 36 | 1.0914 | 0.2690 | 1.0914 | 1.0447 |
| No log | 0.4222 | 38 | 1.5987 | 0.2724 | 1.5987 | 1.2644 |
| No log | 0.4444 | 40 | 2.1407 | 0.2001 | 2.1407 | 1.4631 |
| No log | 0.4667 | 42 | 1.9417 | 0.2020 | 1.9417 | 1.3934 |
| No log | 0.4889 | 44 | 1.4046 | 0.2255 | 1.4046 | 1.1851 |
| No log | 0.5111 | 46 | 1.0161 | 0.2956 | 1.0161 | 1.0080 |
| No log | 0.5333 | 48 | 0.9063 | 0.4192 | 0.9063 | 0.9520 |
| No log | 0.5556 | 50 | 0.9192 | 0.4041 | 0.9192 | 0.9588 |
| No log | 0.5778 | 52 | 1.0806 | 0.2203 | 1.0806 | 1.0395 |
| No log | 0.6 | 54 | 1.2532 | 0.1817 | 1.2532 | 1.1195 |
| No log | 0.6222 | 56 | 1.3338 | 0.1883 | 1.3338 | 1.1549 |
| No log | 0.6444 | 58 | 1.2876 | 0.1883 | 1.2876 | 1.1347 |
| No log | 0.6667 | 60 | 1.2441 | 0.1988 | 1.2441 | 1.1154 |
| No log | 0.6889 | 62 | 1.0164 | 0.3183 | 1.0164 | 1.0082 |
| No log | 0.7111 | 64 | 0.9237 | 0.4133 | 0.9237 | 0.9611 |
| No log | 0.7333 | 66 | 0.9673 | 0.3393 | 0.9673 | 0.9835 |
| No log | 0.7556 | 68 | 1.2999 | 0.3095 | 1.2999 | 1.1401 |
| No log | 0.7778 | 70 | 1.6435 | 0.2479 | 1.6435 | 1.2820 |
| No log | 0.8 | 72 | 1.4915 | 0.2182 | 1.4915 | 1.2213 |
| No log | 0.8222 | 74 | 1.1725 | 0.3796 | 1.1725 | 1.0828 |
| No log | 0.8444 | 76 | 0.9894 | 0.3513 | 0.9894 | 0.9947 |
| No log | 0.8667 | 78 | 1.0341 | 0.2644 | 1.0341 | 1.0169 |
| No log | 0.8889 | 80 | 1.0685 | 0.2709 | 1.0685 | 1.0337 |
| No log | 0.9111 | 82 | 0.9577 | 0.2108 | 0.9577 | 0.9786 |
| No log | 0.9333 | 84 | 0.9488 | 0.3215 | 0.9488 | 0.9741 |
| No log | 0.9556 | 86 | 0.9545 | 0.4062 | 0.9545 | 0.9770 |
| No log | 0.9778 | 88 | 0.9617 | 0.4766 | 0.9617 | 0.9807 |
| No log | 1.0 | 90 | 1.0039 | 0.3402 | 1.0039 | 1.0020 |
| No log | 1.0222 | 92 | 0.9868 | 0.4540 | 0.9868 | 0.9934 |
| No log | 1.0444 | 94 | 0.9840 | 0.4164 | 0.9840 | 0.9920 |
| No log | 1.0667 | 96 | 0.9450 | 0.4012 | 0.9450 | 0.9721 |
| No log | 1.0889 | 98 | 0.9839 | 0.3230 | 0.9839 | 0.9919 |
| No log | 1.1111 | 100 | 0.9418 | 0.3335 | 0.9418 | 0.9705 |
| No log | 1.1333 | 102 | 0.9496 | 0.2794 | 0.9496 | 0.9745 |
| No log | 1.1556 | 104 | 0.9399 | 0.2794 | 0.9399 | 0.9695 |
| No log | 1.1778 | 106 | 0.9921 | 0.2807 | 0.9921 | 0.9960 |
| No log | 1.2 | 108 | 1.3307 | 0.2969 | 1.3307 | 1.1536 |
| No log | 1.2222 | 110 | 1.4224 | 0.2868 | 1.4224 | 1.1927 |
| No log | 1.2444 | 112 | 1.4251 | 0.2868 | 1.4251 | 1.1938 |
| No log | 1.2667 | 114 | 1.2744 | 0.2845 | 1.2744 | 1.1289 |
| No log | 1.2889 | 116 | 1.0712 | 0.2069 | 1.0712 | 1.0350 |
| No log | 1.3111 | 118 | 0.9935 | 0.3388 | 0.9935 | 0.9967 |
| No log | 1.3333 | 120 | 1.0547 | 0.2020 | 1.0547 | 1.0270 |
| No log | 1.3556 | 122 | 1.1711 | 0.2084 | 1.1711 | 1.0822 |
| No log | 1.3778 | 124 | 1.2402 | 0.3317 | 1.2402 | 1.1137 |
| No log | 1.4 | 126 | 1.0137 | 0.2344 | 1.0137 | 1.0068 |
| No log | 1.4222 | 128 | 0.9285 | 0.3896 | 0.9285 | 0.9636 |
| No log | 1.4444 | 130 | 0.9319 | 0.3154 | 0.9319 | 0.9653 |
| No log | 1.4667 | 132 | 1.0850 | 0.2690 | 1.0850 | 1.0417 |
| No log | 1.4889 | 134 | 1.2370 | 0.2524 | 1.2370 | 1.1122 |
| No log | 1.5111 | 136 | 1.1550 | 0.2443 | 1.1550 | 1.0747 |
| No log | 1.5333 | 138 | 0.9860 | 0.3674 | 0.9860 | 0.9930 |
| No log | 1.5556 | 140 | 0.9566 | 0.3647 | 0.9566 | 0.9780 |
| No log | 1.5778 | 142 | 0.9647 | 0.3744 | 0.9647 | 0.9822 |
| No log | 1.6 | 144 | 0.9916 | 0.3765 | 0.9916 | 0.9958 |
| No log | 1.6222 | 146 | 0.9835 | 0.3210 | 0.9835 | 0.9917 |
| No log | 1.6444 | 148 | 0.9790 | 0.3210 | 0.9790 | 0.9894 |
| No log | 1.6667 | 150 | 0.9378 | 0.3095 | 0.9378 | 0.9684 |
| No log | 1.6889 | 152 | 0.9270 | 0.2742 | 0.9270 | 0.9628 |
| No log | 1.7111 | 154 | 0.9486 | 0.4110 | 0.9486 | 0.9740 |
| No log | 1.7333 | 156 | 0.9934 | 0.3502 | 0.9934 | 0.9967 |
| No log | 1.7556 | 158 | 1.0490 | 0.3771 | 1.0490 | 1.0242 |
| No log | 1.7778 | 160 | 1.0538 | 0.4328 | 1.0538 | 1.0265 |
| No log | 1.8 | 162 | 1.0591 | 0.4560 | 1.0591 | 1.0291 |
| No log | 1.8222 | 164 | 1.0503 | 0.3634 | 1.0503 | 1.0249 |
| No log | 1.8444 | 166 | 1.0365 | 0.2447 | 1.0365 | 1.0181 |
| No log | 1.8667 | 168 | 1.0433 | 0.2228 | 1.0433 | 1.0214 |
| No log | 1.8889 | 170 | 1.0303 | 0.2360 | 1.0303 | 1.0150 |
| No log | 1.9111 | 172 | 1.1474 | 0.3034 | 1.1474 | 1.0712 |
| No log | 1.9333 | 174 | 1.1063 | 0.3034 | 1.1063 | 1.0518 |
| No log | 1.9556 | 176 | 0.9577 | 0.3721 | 0.9577 | 0.9786 |
| No log | 1.9778 | 178 | 0.9639 | 0.3463 | 0.9639 | 0.9818 |
| No log | 2.0 | 180 | 0.9501 | 0.3570 | 0.9501 | 0.9747 |
| No log | 2.0222 | 182 | 0.9223 | 0.4115 | 0.9223 | 0.9604 |
| No log | 2.0444 | 184 | 1.0684 | 0.2465 | 1.0684 | 1.0336 |
| No log | 2.0667 | 186 | 1.2759 | 0.2473 | 1.2759 | 1.1296 |
| No log | 2.0889 | 188 | 1.1989 | 0.2094 | 1.1989 | 1.0949 |
| No log | 2.1111 | 190 | 0.9644 | 0.4417 | 0.9644 | 0.9820 |
| No log | 2.1333 | 192 | 1.1129 | 0.2747 | 1.1129 | 1.0549 |
| No log | 2.1556 | 194 | 1.1223 | 0.2599 | 1.1223 | 1.0594 |
| No log | 2.1778 | 196 | 1.0010 | 0.4537 | 1.0010 | 1.0005 |
| No log | 2.2 | 198 | 1.0684 | 0.4212 | 1.0684 | 1.0336 |
| No log | 2.2222 | 200 | 1.1044 | 0.2869 | 1.1044 | 1.0509 |
| No log | 2.2444 | 202 | 0.9932 | 0.4030 | 0.9932 | 0.9966 |
| No log | 2.2667 | 204 | 0.9757 | 0.3465 | 0.9757 | 0.9878 |
| No log | 2.2889 | 206 | 0.9767 | 0.3445 | 0.9767 | 0.9883 |
| No log | 2.3111 | 208 | 0.9720 | 0.3129 | 0.9720 | 0.9859 |
| No log | 2.3333 | 210 | 0.9679 | 0.2667 | 0.9679 | 0.9838 |
| No log | 2.3556 | 212 | 1.0153 | 0.2923 | 1.0153 | 1.0076 |
| No log | 2.3778 | 214 | 1.0228 | 0.2923 | 1.0228 | 1.0114 |
| No log | 2.4 | 216 | 0.9949 | 0.2879 | 0.9949 | 0.9975 |
| No log | 2.4222 | 218 | 1.0229 | 0.3454 | 1.0229 | 1.0114 |
| No log | 2.4444 | 220 | 1.1183 | 0.2988 | 1.1183 | 1.0575 |
| No log | 2.4667 | 222 | 1.0864 | 0.2792 | 1.0864 | 1.0423 |
| No log | 2.4889 | 224 | 1.0157 | 0.3188 | 1.0157 | 1.0078 |
| No log | 2.5111 | 226 | 1.0218 | 0.2998 | 1.0218 | 1.0109 |
| No log | 2.5333 | 228 | 1.0709 | 0.3646 | 1.0709 | 1.0348 |
| No log | 2.5556 | 230 | 1.0613 | 0.2822 | 1.0613 | 1.0302 |
| No log | 2.5778 | 232 | 1.0141 | 0.3603 | 1.0141 | 1.0070 |
| No log | 2.6 | 234 | 0.9559 | 0.4175 | 0.9559 | 0.9777 |
| No log | 2.6222 | 236 | 1.0048 | 0.4143 | 1.0048 | 1.0024 |
| No log | 2.6444 | 238 | 1.0146 | 0.4155 | 1.0146 | 1.0073 |
| No log | 2.6667 | 240 | 0.9590 | 0.4280 | 0.9590 | 0.9793 |
| No log | 2.6889 | 242 | 0.9653 | 0.4377 | 0.9653 | 0.9825 |
| No log | 2.7111 | 244 | 0.9513 | 0.3896 | 0.9513 | 0.9753 |
| No log | 2.7333 | 246 | 0.9936 | 0.3621 | 0.9936 | 0.9968 |
| No log | 2.7556 | 248 | 1.0485 | 0.2702 | 1.0485 | 1.0240 |
| No log | 2.7778 | 250 | 0.9941 | 0.2721 | 0.9941 | 0.9971 |
| No log | 2.8 | 252 | 0.9847 | 0.3934 | 0.9847 | 0.9923 |
| No log | 2.8222 | 254 | 1.0739 | 0.3250 | 1.0739 | 1.0363 |
| No log | 2.8444 | 256 | 1.0211 | 0.3646 | 1.0211 | 1.0105 |
| No log | 2.8667 | 258 | 0.9728 | 0.3820 | 0.9728 | 0.9863 |
| No log | 2.8889 | 260 | 0.9833 | 0.3990 | 0.9833 | 0.9916 |
| No log | 2.9111 | 262 | 1.0018 | 0.3350 | 1.0018 | 1.0009 |
| No log | 2.9333 | 264 | 0.9595 | 0.4254 | 0.9595 | 0.9796 |
| No log | 2.9556 | 266 | 0.9708 | 0.3100 | 0.9708 | 0.9853 |
| No log | 2.9778 | 268 | 1.0733 | 0.2893 | 1.0733 | 1.0360 |
| No log | 3.0 | 270 | 1.0885 | 0.2893 | 1.0885 | 1.0433 |
| No log | 3.0222 | 272 | 1.0146 | 0.2521 | 1.0146 | 1.0073 |
| No log | 3.0444 | 274 | 1.0550 | 0.3024 | 1.0550 | 1.0271 |
| No log | 3.0667 | 276 | 1.2362 | 0.2459 | 1.2362 | 1.1119 |
| No log | 3.0889 | 278 | 1.2863 | 0.1686 | 1.2863 | 1.1342 |
| No log | 3.1111 | 280 | 1.1934 | 0.2012 | 1.1934 | 1.0924 |
| No log | 3.1333 | 282 | 1.0666 | 0.2021 | 1.0666 | 1.0328 |
| No log | 3.1556 | 284 | 1.0721 | 0.3154 | 1.0721 | 1.0354 |
| No log | 3.1778 | 286 | 1.0798 | 0.3154 | 1.0798 | 1.0391 |
| No log | 3.2 | 288 | 1.0604 | 0.2400 | 1.0604 | 1.0298 |
| No log | 3.2222 | 290 | 1.1061 | 0.1875 | 1.1061 | 1.0517 |
| No log | 3.2444 | 292 | 1.1726 | 0.1970 | 1.1726 | 1.0829 |
| No log | 3.2667 | 294 | 1.1612 | 0.1702 | 1.1612 | 1.0776 |
| No log | 3.2889 | 296 | 1.0639 | 0.2487 | 1.0639 | 1.0314 |
| No log | 3.3111 | 298 | 1.0303 | 0.3134 | 1.0303 | 1.0150 |
| No log | 3.3333 | 300 | 1.0517 | 0.2911 | 1.0517 | 1.0255 |
| No log | 3.3556 | 302 | 1.0272 | 0.2765 | 1.0272 | 1.0135 |
| No log | 3.3778 | 304 | 1.0099 | 0.2718 | 1.0099 | 1.0049 |
| No log | 3.4 | 306 | 1.0230 | 0.2336 | 1.0230 | 1.0114 |
| No log | 3.4222 | 308 | 1.0360 | 0.2216 | 1.0360 | 1.0179 |
| No log | 3.4444 | 310 | 1.0619 | 0.3194 | 1.0619 | 1.0305 |
| No log | 3.4667 | 312 | 1.0767 | 0.2785 | 1.0767 | 1.0376 |
| No log | 3.4889 | 314 | 1.0699 | 0.2718 | 1.0699 | 1.0343 |
| No log | 3.5111 | 316 | 1.1139 | 0.1969 | 1.1139 | 1.0554 |
| No log | 3.5333 | 318 | 1.1871 | 0.2286 | 1.1871 | 1.0895 |
| No log | 3.5556 | 320 | 1.1929 | 0.2286 | 1.1929 | 1.0922 |
| No log | 3.5778 | 322 | 1.1839 | 0.1830 | 1.1839 | 1.0881 |
| No log | 3.6 | 324 | 1.1950 | 0.2374 | 1.1950 | 1.0931 |
| No log | 3.6222 | 326 | 1.2194 | 0.2588 | 1.2194 | 1.1042 |
| No log | 3.6444 | 328 | 1.2024 | 0.2588 | 1.2024 | 1.0966 |
| No log | 3.6667 | 330 | 1.1760 | 0.2761 | 1.1760 | 1.0844 |
| No log | 3.6889 | 332 | 1.1424 | 0.2741 | 1.1424 | 1.0688 |
| No log | 3.7111 | 334 | 1.1403 | 0.2111 | 1.1403 | 1.0678 |
| No log | 3.7333 | 336 | 1.1457 | 0.1567 | 1.1457 | 1.0704 |
| No log | 3.7556 | 338 | 1.1197 | 0.1567 | 1.1197 | 1.0581 |
| No log | 3.7778 | 340 | 1.0883 | 0.2192 | 1.0883 | 1.0432 |
| No log | 3.8 | 342 | 1.0962 | 0.1969 | 1.0962 | 1.0470 |
| No log | 3.8222 | 344 | 1.1317 | 0.1567 | 1.1317 | 1.0638 |
| No log | 3.8444 | 346 | 1.1463 | 0.1641 | 1.1463 | 1.0706 |
| No log | 3.8667 | 348 | 1.1308 | 0.2172 | 1.1308 | 1.0634 |
| No log | 3.8889 | 350 | 1.1240 | 0.2521 | 1.1240 | 1.0602 |
| No log | 3.9111 | 352 | 1.1263 | 0.2633 | 1.1263 | 1.0613 |
| No log | 3.9333 | 354 | 1.1322 | 0.2633 | 1.1322 | 1.0641 |
| No log | 3.9556 | 356 | 1.1295 | 0.2384 | 1.1295 | 1.0628 |
| No log | 3.9778 | 358 | 1.1141 | 0.2290 | 1.1141 | 1.0555 |
| No log | 4.0 | 360 | 1.0868 | 0.2241 | 1.0868 | 1.0425 |
| No log | 4.0222 | 362 | 1.0756 | 0.3124 | 1.0756 | 1.0371 |
| No log | 4.0444 | 364 | 1.0547 | 0.2003 | 1.0547 | 1.0270 |
| No log | 4.0667 | 366 | 1.0484 | 0.2003 | 1.0484 | 1.0239 |
| No log | 4.0889 | 368 | 1.0512 | 0.2003 | 1.0512 | 1.0253 |
| No log | 4.1111 | 370 | 1.0621 | 0.2216 | 1.0621 | 1.0306 |
| No log | 4.1333 | 372 | 1.0654 | 0.2216 | 1.0654 | 1.0322 |
| No log | 4.1556 | 374 | 1.0389 | 0.1935 | 1.0389 | 1.0193 |
| No log | 4.1778 | 376 | 1.0310 | 0.2765 | 1.0310 | 1.0154 |
| No log | 4.2 | 378 | 1.0324 | 0.2765 | 1.0324 | 1.0161 |
| No log | 4.2222 | 380 | 1.0598 | 0.2721 | 1.0598 | 1.0295 |
| No log | 4.2444 | 382 | 1.0889 | 0.2857 | 1.0889 | 1.0435 |
| No log | 4.2667 | 384 | 1.0655 | 0.2204 | 1.0655 | 1.0322 |
| No log | 4.2889 | 386 | 1.0161 | 0.2523 | 1.0161 | 1.0080 |
| No log | 4.3111 | 388 | 0.9765 | 0.2517 | 0.9765 | 0.9882 |
| No log | 4.3333 | 390 | 0.9965 | 0.2765 | 0.9965 | 0.9983 |
| No log | 4.3556 | 392 | 1.0278 | 0.2643 | 1.0278 | 1.0138 |
| No log | 4.3778 | 394 | 1.0305 | 0.2204 | 1.0305 | 1.0151 |
| No log | 4.4 | 396 | 1.1323 | 0.3206 | 1.1323 | 1.0641 |
| No log | 4.4222 | 398 | 1.2764 | 0.2222 | 1.2764 | 1.1298 |
| No log | 4.4444 | 400 | 1.2774 | 0.2122 | 1.2774 | 1.1302 |
| No log | 4.4667 | 402 | 1.2281 | 0.2520 | 1.2281 | 1.1082 |
| No log | 4.4889 | 404 | 1.1524 | 0.1824 | 1.1524 | 1.0735 |
| No log | 4.5111 | 406 | 1.0759 | 0.2533 | 1.0759 | 1.0373 |
| No log | 4.5333 | 408 | 1.0557 | 0.2533 | 1.0557 | 1.0275 |
| No log | 4.5556 | 410 | 1.0696 | 0.2192 | 1.0696 | 1.0342 |
| No log | 4.5778 | 412 | 1.0850 | 0.2533 | 1.0850 | 1.0416 |
| No log | 4.6 | 414 | 1.1076 | 0.2416 | 1.1076 | 1.0524 |
| No log | 4.6222 | 416 | 1.1472 | 0.3159 | 1.1472 | 1.0711 |
| No log | 4.6444 | 418 | 1.2174 | 0.2159 | 1.2174 | 1.1034 |
| No log | 4.6667 | 420 | 1.2291 | 0.2032 | 1.2291 | 1.1086 |
| No log | 4.6889 | 422 | 1.2071 | 0.2342 | 1.2071 | 1.0987 |
| No log | 4.7111 | 424 | 1.1714 | 0.2857 | 1.1714 | 1.0823 |
| No log | 4.7333 | 426 | 1.1892 | 0.2342 | 1.1892 | 1.0905 |
| No log | 4.7556 | 428 | 1.1965 | 0.1870 | 1.1965 | 1.0938 |
| No log | 4.7778 | 430 | 1.1831 | 0.1985 | 1.1831 | 1.0877 |
| No log | 4.8 | 432 | 1.1165 | 0.1755 | 1.1165 | 1.0566 |
| No log | 4.8222 | 434 | 1.0450 | 0.1221 | 1.0450 | 1.0222 |
| No log | 4.8444 | 436 | 1.0257 | 0.2351 | 1.0257 | 1.0128 |
| No log | 4.8667 | 438 | 1.0326 | 0.2791 | 1.0326 | 1.0162 |
| No log | 4.8889 | 440 | 1.1132 | 0.2938 | 1.1132 | 1.0551 |
| No log | 4.9111 | 442 | 1.1864 | 0.2599 | 1.1864 | 1.0892 |
| No log | 4.9333 | 444 | 1.2113 | 0.2351 | 1.2113 | 1.1006 |
| No log | 4.9556 | 446 | 1.1480 | 0.2747 | 1.1480 | 1.0715 |
| No log | 4.9778 | 448 | 1.0497 | 0.2584 | 1.0497 | 1.0245 |
| No log | 5.0 | 450 | 1.0337 | 0.3685 | 1.0337 | 1.0167 |
| No log | 5.0222 | 452 | 1.0744 | 0.2953 | 1.0744 | 1.0365 |
| No log | 5.0444 | 454 | 1.0388 | 0.2892 | 1.0388 | 1.0192 |
| No log | 5.0667 | 456 | 0.9817 | 0.3505 | 0.9817 | 0.9908 |
| No log | 5.0889 | 458 | 1.0070 | 0.2111 | 1.0070 | 1.0035 |
| No log | 5.1111 | 460 | 1.0970 | 0.1775 | 1.0970 | 1.0474 |
| No log | 5.1333 | 462 | 1.1127 | 0.1775 | 1.1127 | 1.0549 |
| No log | 5.1556 | 464 | 1.1029 | 0.1996 | 1.1029 | 1.0502 |
| No log | 5.1778 | 466 | 1.1151 | 0.2111 | 1.1151 | 1.0560 |
| No log | 5.2 | 468 | 1.1207 | 0.2910 | 1.1207 | 1.0586 |
| No log | 5.2222 | 470 | 1.1719 | 0.2256 | 1.1719 | 1.0826 |
| No log | 5.2444 | 472 | 1.2096 | 0.2883 | 1.2096 | 1.0998 |
| No log | 5.2667 | 474 | 1.2201 | 0.3052 | 1.2201 | 1.1046 |
| No log | 5.2889 | 476 | 1.2095 | 0.3033 | 1.2095 | 1.0998 |
| No log | 5.3111 | 478 | 1.1734 | 0.2654 | 1.1734 | 1.0832 |
| No log | 5.3333 | 480 | 1.1258 | 0.2607 | 1.1258 | 1.0610 |
| No log | 5.3556 | 482 | 1.1152 | 0.2993 | 1.1152 | 1.0560 |
| No log | 5.3778 | 484 | 1.1165 | 0.2654 | 1.1165 | 1.0566 |
| No log | 5.4 | 486 | 1.1372 | 0.2939 | 1.1372 | 1.0664 |
| No log | 5.4222 | 488 | 1.1495 | 0.3399 | 1.1495 | 1.0722 |
| No log | 5.4444 | 490 | 1.1385 | 0.3662 | 1.1385 | 1.0670 |
| No log | 5.4667 | 492 | 1.1138 | 0.3547 | 1.1138 | 1.0554 |
| No log | 5.4889 | 494 | 1.1046 | 0.3502 | 1.1046 | 1.0510 |
| No log | 5.5111 | 496 | 1.0833 | 0.3896 | 1.0833 | 1.0408 |
| No log | 5.5333 | 498 | 1.0737 | 0.3879 | 1.0737 | 1.0362 |
| 0.2952 | 5.5556 | 500 | 1.0511 | 0.3765 | 1.0511 | 1.0253 |
| 0.2952 | 5.5778 | 502 | 1.0353 | 0.3879 | 1.0353 | 1.0175 |
| 0.2952 | 5.6 | 504 | 1.0663 | 0.2814 | 1.0663 | 1.0326 |
| 0.2952 | 5.6222 | 506 | 1.0990 | 0.2263 | 1.0990 | 1.0483 |
| 0.2952 | 5.6444 | 508 | 1.0857 | 0.2111 | 1.0857 | 1.0420 |
| 0.2952 | 5.6667 | 510 | 1.0955 | 0.2033 | 1.0955 | 1.0466 |
| 0.2952 | 5.6889 | 512 | 1.1043 | 0.1567 | 1.1043 | 1.0508 |
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_k19_task5_organization
Base model
aubmindlab/bert-base-arabertv02