Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k17_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k17_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k17_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k17_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k17_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k17_task1_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: 0.7791
- Qwk: 0.5959
- Mse: 0.7791
- Rmse: 0.8827
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 | 0.0241 | 2 | 5.3661 | 0.0048 | 5.3661 | 2.3165 |
| No log | 0.0482 | 4 | 3.2883 | 0.0615 | 3.2883 | 1.8134 |
| No log | 0.0723 | 6 | 1.9158 | 0.0676 | 1.9158 | 1.3841 |
| No log | 0.0964 | 8 | 1.5735 | 0.1787 | 1.5735 | 1.2544 |
| No log | 0.1205 | 10 | 1.2142 | 0.2529 | 1.2142 | 1.1019 |
| No log | 0.1446 | 12 | 1.2045 | 0.2386 | 1.2045 | 1.0975 |
| No log | 0.1687 | 14 | 1.4817 | 0.0760 | 1.4817 | 1.2172 |
| No log | 0.1928 | 16 | 1.4800 | 0.0216 | 1.4800 | 1.2165 |
| No log | 0.2169 | 18 | 1.2039 | 0.1671 | 1.2039 | 1.0972 |
| No log | 0.2410 | 20 | 1.1575 | 0.2064 | 1.1575 | 1.0759 |
| No log | 0.2651 | 22 | 1.1543 | 0.1997 | 1.1543 | 1.0744 |
| No log | 0.2892 | 24 | 1.1560 | 0.0868 | 1.1560 | 1.0752 |
| No log | 0.3133 | 26 | 1.1859 | 0.0550 | 1.1859 | 1.0890 |
| No log | 0.3373 | 28 | 1.2052 | 0.0647 | 1.2052 | 1.0978 |
| No log | 0.3614 | 30 | 1.2057 | 0.0465 | 1.2057 | 1.0981 |
| No log | 0.3855 | 32 | 1.1680 | 0.0599 | 1.1680 | 1.0807 |
| No log | 0.4096 | 34 | 1.1268 | 0.1743 | 1.1268 | 1.0615 |
| No log | 0.4337 | 36 | 1.1347 | 0.3022 | 1.1347 | 1.0652 |
| No log | 0.4578 | 38 | 1.1211 | 0.3029 | 1.1211 | 1.0588 |
| No log | 0.4819 | 40 | 1.0628 | 0.2611 | 1.0628 | 1.0309 |
| No log | 0.5060 | 42 | 1.0593 | 0.2405 | 1.0593 | 1.0292 |
| No log | 0.5301 | 44 | 1.1914 | 0.1467 | 1.1914 | 1.0915 |
| No log | 0.5542 | 46 | 1.2040 | 0.1012 | 1.2040 | 1.0973 |
| No log | 0.5783 | 48 | 1.1583 | 0.0918 | 1.1583 | 1.0762 |
| No log | 0.6024 | 50 | 1.0824 | 0.1933 | 1.0824 | 1.0404 |
| No log | 0.6265 | 52 | 1.0208 | 0.2261 | 1.0208 | 1.0104 |
| No log | 0.6506 | 54 | 0.9401 | 0.3209 | 0.9401 | 0.9696 |
| No log | 0.6747 | 56 | 0.9724 | 0.3802 | 0.9724 | 0.9861 |
| No log | 0.6988 | 58 | 1.0117 | 0.3702 | 1.0117 | 1.0058 |
| No log | 0.7229 | 60 | 0.9010 | 0.4783 | 0.9010 | 0.9492 |
| No log | 0.7470 | 62 | 0.8730 | 0.5094 | 0.8730 | 0.9343 |
| No log | 0.7711 | 64 | 0.9589 | 0.4640 | 0.9589 | 0.9792 |
| No log | 0.7952 | 66 | 1.0180 | 0.4920 | 1.0180 | 1.0090 |
| No log | 0.8193 | 68 | 0.9862 | 0.5069 | 0.9862 | 0.9931 |
| No log | 0.8434 | 70 | 1.0060 | 0.4860 | 1.0060 | 1.0030 |
| No log | 0.8675 | 72 | 1.0872 | 0.4483 | 1.0872 | 1.0427 |
| No log | 0.8916 | 74 | 1.0732 | 0.4547 | 1.0732 | 1.0360 |
| No log | 0.9157 | 76 | 1.0651 | 0.5086 | 1.0651 | 1.0320 |
| No log | 0.9398 | 78 | 1.0280 | 0.5084 | 1.0280 | 1.0139 |
| No log | 0.9639 | 80 | 0.9423 | 0.4972 | 0.9423 | 0.9707 |
| No log | 0.9880 | 82 | 0.8797 | 0.5257 | 0.8797 | 0.9379 |
| No log | 1.0120 | 84 | 0.9131 | 0.5644 | 0.9131 | 0.9556 |
| No log | 1.0361 | 86 | 1.0417 | 0.4745 | 1.0417 | 1.0207 |
| No log | 1.0602 | 88 | 1.0759 | 0.4627 | 1.0759 | 1.0373 |
| No log | 1.0843 | 90 | 1.0775 | 0.4613 | 1.0775 | 1.0380 |
| No log | 1.1084 | 92 | 0.9745 | 0.5181 | 0.9745 | 0.9872 |
| No log | 1.1325 | 94 | 0.8981 | 0.5739 | 0.8981 | 0.9477 |
| No log | 1.1566 | 96 | 0.9059 | 0.5640 | 0.9059 | 0.9518 |
| No log | 1.1807 | 98 | 0.9649 | 0.5542 | 0.9649 | 0.9823 |
| No log | 1.2048 | 100 | 1.0288 | 0.5300 | 1.0288 | 1.0143 |
| No log | 1.2289 | 102 | 1.2150 | 0.4777 | 1.2150 | 1.1023 |
| No log | 1.2530 | 104 | 1.1557 | 0.4616 | 1.1557 | 1.0751 |
| No log | 1.2771 | 106 | 1.0119 | 0.4856 | 1.0119 | 1.0059 |
| No log | 1.3012 | 108 | 0.9210 | 0.5174 | 0.9210 | 0.9597 |
| No log | 1.3253 | 110 | 0.8475 | 0.5648 | 0.8475 | 0.9206 |
| No log | 1.3494 | 112 | 0.8236 | 0.5601 | 0.8236 | 0.9075 |
| No log | 1.3735 | 114 | 0.8223 | 0.5596 | 0.8223 | 0.9068 |
| No log | 1.3976 | 116 | 0.9083 | 0.5602 | 0.9083 | 0.9531 |
| No log | 1.4217 | 118 | 1.0170 | 0.5083 | 1.0170 | 1.0085 |
| No log | 1.4458 | 120 | 1.1300 | 0.4615 | 1.1300 | 1.0630 |
| No log | 1.4699 | 122 | 1.1033 | 0.5347 | 1.1033 | 1.0504 |
| No log | 1.4940 | 124 | 1.0580 | 0.5615 | 1.0580 | 1.0286 |
| No log | 1.5181 | 126 | 1.0872 | 0.5324 | 1.0872 | 1.0427 |
| No log | 1.5422 | 128 | 1.1901 | 0.4602 | 1.1901 | 1.0909 |
| No log | 1.5663 | 130 | 1.3228 | 0.4215 | 1.3228 | 1.1501 |
| No log | 1.5904 | 132 | 1.4893 | 0.3711 | 1.4893 | 1.2204 |
| No log | 1.6145 | 134 | 1.6345 | 0.3812 | 1.6345 | 1.2785 |
| No log | 1.6386 | 136 | 1.6001 | 0.3692 | 1.6001 | 1.2650 |
| No log | 1.6627 | 138 | 1.3793 | 0.3981 | 1.3793 | 1.1744 |
| No log | 1.6867 | 140 | 1.0139 | 0.5297 | 1.0139 | 1.0069 |
| No log | 1.7108 | 142 | 0.8017 | 0.6209 | 0.8017 | 0.8954 |
| No log | 1.7349 | 144 | 0.7640 | 0.5974 | 0.7640 | 0.8741 |
| No log | 1.7590 | 146 | 0.7456 | 0.6100 | 0.7456 | 0.8635 |
| No log | 1.7831 | 148 | 0.7504 | 0.6574 | 0.7504 | 0.8663 |
| No log | 1.8072 | 150 | 0.9106 | 0.5704 | 0.9106 | 0.9543 |
| No log | 1.8313 | 152 | 1.1946 | 0.4875 | 1.1946 | 1.0930 |
| No log | 1.8554 | 154 | 1.6096 | 0.3700 | 1.6096 | 1.2687 |
| No log | 1.8795 | 156 | 1.6849 | 0.3844 | 1.6849 | 1.2980 |
| No log | 1.9036 | 158 | 1.4139 | 0.4658 | 1.4139 | 1.1891 |
| No log | 1.9277 | 160 | 1.2069 | 0.4822 | 1.2069 | 1.0986 |
| No log | 1.9518 | 162 | 1.0871 | 0.4992 | 1.0871 | 1.0426 |
| No log | 1.9759 | 164 | 1.0486 | 0.5144 | 1.0486 | 1.0240 |
| No log | 2.0 | 166 | 0.9470 | 0.5988 | 0.9470 | 0.9731 |
| No log | 2.0241 | 168 | 0.8511 | 0.6185 | 0.8511 | 0.9226 |
| No log | 2.0482 | 170 | 0.8183 | 0.6446 | 0.8183 | 0.9046 |
| No log | 2.0723 | 172 | 0.7692 | 0.6388 | 0.7692 | 0.8770 |
| No log | 2.0964 | 174 | 0.8152 | 0.6242 | 0.8152 | 0.9029 |
| No log | 2.1205 | 176 | 0.9450 | 0.5470 | 0.9450 | 0.9721 |
| No log | 2.1446 | 178 | 1.0670 | 0.5415 | 1.0670 | 1.0330 |
| No log | 2.1687 | 180 | 1.1413 | 0.5321 | 1.1413 | 1.0683 |
| No log | 2.1928 | 182 | 1.3581 | 0.4893 | 1.3581 | 1.1654 |
| No log | 2.2169 | 184 | 1.4486 | 0.4585 | 1.4486 | 1.2036 |
| No log | 2.2410 | 186 | 1.4512 | 0.4407 | 1.4512 | 1.2047 |
| No log | 2.2651 | 188 | 1.3203 | 0.4007 | 1.3203 | 1.1490 |
| No log | 2.2892 | 190 | 1.3796 | 0.3916 | 1.3796 | 1.1746 |
| No log | 2.3133 | 192 | 1.5581 | 0.3109 | 1.5581 | 1.2482 |
| No log | 2.3373 | 194 | 1.6275 | 0.2865 | 1.6275 | 1.2757 |
| No log | 2.3614 | 196 | 1.5324 | 0.3951 | 1.5324 | 1.2379 |
| No log | 2.3855 | 198 | 1.2620 | 0.4868 | 1.2620 | 1.1234 |
| No log | 2.4096 | 200 | 1.0132 | 0.5576 | 1.0132 | 1.0066 |
| No log | 2.4337 | 202 | 0.9338 | 0.5508 | 0.9338 | 0.9663 |
| No log | 2.4578 | 204 | 1.0033 | 0.5414 | 1.0033 | 1.0017 |
| No log | 2.4819 | 206 | 0.9274 | 0.5900 | 0.9274 | 0.9630 |
| No log | 2.5060 | 208 | 0.7630 | 0.6396 | 0.7630 | 0.8735 |
| No log | 2.5301 | 210 | 0.6953 | 0.6007 | 0.6953 | 0.8338 |
| No log | 2.5542 | 212 | 0.6857 | 0.6223 | 0.6857 | 0.8281 |
| No log | 2.5783 | 214 | 0.6893 | 0.6360 | 0.6893 | 0.8302 |
| No log | 2.6024 | 216 | 0.6868 | 0.6482 | 0.6868 | 0.8287 |
| No log | 2.6265 | 218 | 0.7445 | 0.6361 | 0.7445 | 0.8629 |
| No log | 2.6506 | 220 | 0.8293 | 0.6121 | 0.8293 | 0.9107 |
| No log | 2.6747 | 222 | 0.8638 | 0.6121 | 0.8638 | 0.9294 |
| No log | 2.6988 | 224 | 0.8405 | 0.5965 | 0.8405 | 0.9168 |
| No log | 2.7229 | 226 | 0.7628 | 0.6445 | 0.7628 | 0.8734 |
| No log | 2.7470 | 228 | 0.7423 | 0.6696 | 0.7423 | 0.8616 |
| No log | 2.7711 | 230 | 0.7686 | 0.6706 | 0.7686 | 0.8767 |
| No log | 2.7952 | 232 | 0.8020 | 0.6352 | 0.8020 | 0.8956 |
| No log | 2.8193 | 234 | 0.8784 | 0.5410 | 0.8784 | 0.9373 |
| No log | 2.8434 | 236 | 0.8406 | 0.6136 | 0.8406 | 0.9168 |
| No log | 2.8675 | 238 | 0.7753 | 0.6353 | 0.7753 | 0.8805 |
| No log | 2.8916 | 240 | 0.7359 | 0.6419 | 0.7359 | 0.8578 |
| No log | 2.9157 | 242 | 0.7611 | 0.6453 | 0.7611 | 0.8724 |
| No log | 2.9398 | 244 | 0.8477 | 0.5842 | 0.8477 | 0.9207 |
| No log | 2.9639 | 246 | 0.9839 | 0.5264 | 0.9839 | 0.9919 |
| No log | 2.9880 | 248 | 0.9571 | 0.5259 | 0.9571 | 0.9783 |
| No log | 3.0120 | 250 | 0.8599 | 0.5817 | 0.8599 | 0.9273 |
| No log | 3.0361 | 252 | 0.7619 | 0.6483 | 0.7619 | 0.8729 |
| No log | 3.0602 | 254 | 0.6383 | 0.6662 | 0.6383 | 0.7989 |
| No log | 3.0843 | 256 | 0.6179 | 0.6984 | 0.6179 | 0.7861 |
| No log | 3.1084 | 258 | 0.6174 | 0.6885 | 0.6174 | 0.7857 |
| No log | 3.1325 | 260 | 0.6400 | 0.6920 | 0.6400 | 0.8000 |
| No log | 3.1566 | 262 | 0.7325 | 0.6882 | 0.7325 | 0.8559 |
| No log | 3.1807 | 264 | 0.9164 | 0.6502 | 0.9164 | 0.9573 |
| No log | 3.2048 | 266 | 1.0714 | 0.5685 | 1.0714 | 1.0351 |
| No log | 3.2289 | 268 | 1.0774 | 0.5729 | 1.0774 | 1.0380 |
| No log | 3.2530 | 270 | 1.0253 | 0.5832 | 1.0253 | 1.0126 |
| No log | 3.2771 | 272 | 0.9990 | 0.5955 | 0.9990 | 0.9995 |
| No log | 3.3012 | 274 | 1.0604 | 0.5542 | 1.0604 | 1.0298 |
| No log | 3.3253 | 276 | 1.1893 | 0.4909 | 1.1893 | 1.0905 |
| No log | 3.3494 | 278 | 1.1676 | 0.4947 | 1.1676 | 1.0805 |
| No log | 3.3735 | 280 | 1.1918 | 0.5000 | 1.1918 | 1.0917 |
| No log | 3.3976 | 282 | 1.1673 | 0.5298 | 1.1673 | 1.0804 |
| No log | 3.4217 | 284 | 1.1329 | 0.5298 | 1.1329 | 1.0644 |
| No log | 3.4458 | 286 | 1.1451 | 0.5406 | 1.1451 | 1.0701 |
| No log | 3.4699 | 288 | 1.1667 | 0.5233 | 1.1667 | 1.0802 |
| No log | 3.4940 | 290 | 1.2294 | 0.5155 | 1.2294 | 1.1088 |
| No log | 3.5181 | 292 | 1.3422 | 0.4998 | 1.3422 | 1.1585 |
| No log | 3.5422 | 294 | 1.4280 | 0.4843 | 1.4280 | 1.1950 |
| No log | 3.5663 | 296 | 1.3118 | 0.4967 | 1.3118 | 1.1453 |
| No log | 3.5904 | 298 | 1.1085 | 0.5536 | 1.1085 | 1.0529 |
| No log | 3.6145 | 300 | 1.0774 | 0.5455 | 1.0774 | 1.0380 |
| No log | 3.6386 | 302 | 1.1559 | 0.4973 | 1.1559 | 1.0751 |
| No log | 3.6627 | 304 | 1.2361 | 0.4571 | 1.2361 | 1.1118 |
| No log | 3.6867 | 306 | 1.0986 | 0.4994 | 1.0986 | 1.0481 |
| No log | 3.7108 | 308 | 0.8962 | 0.6162 | 0.8962 | 0.9467 |
| No log | 3.7349 | 310 | 0.7716 | 0.5913 | 0.7716 | 0.8784 |
| No log | 3.7590 | 312 | 0.7398 | 0.6276 | 0.7398 | 0.8601 |
| No log | 3.7831 | 314 | 0.7962 | 0.6142 | 0.7962 | 0.8923 |
| No log | 3.8072 | 316 | 0.9623 | 0.5755 | 0.9623 | 0.9810 |
| No log | 3.8313 | 318 | 0.9965 | 0.5515 | 0.9965 | 0.9982 |
| No log | 3.8554 | 320 | 0.9259 | 0.6343 | 0.9259 | 0.9622 |
| No log | 3.8795 | 322 | 0.9062 | 0.6346 | 0.9062 | 0.9520 |
| No log | 3.9036 | 324 | 0.9734 | 0.6003 | 0.9734 | 0.9866 |
| No log | 3.9277 | 326 | 1.0858 | 0.5764 | 1.0858 | 1.0420 |
| No log | 3.9518 | 328 | 1.1070 | 0.5639 | 1.1070 | 1.0521 |
| No log | 3.9759 | 330 | 1.0526 | 0.5637 | 1.0526 | 1.0260 |
| No log | 4.0 | 332 | 1.0502 | 0.5764 | 1.0502 | 1.0248 |
| No log | 4.0241 | 334 | 1.0328 | 0.6013 | 1.0328 | 1.0163 |
| No log | 4.0482 | 336 | 1.0366 | 0.6013 | 1.0366 | 1.0182 |
| No log | 4.0723 | 338 | 1.0330 | 0.6027 | 1.0330 | 1.0163 |
| No log | 4.0964 | 340 | 1.0126 | 0.6027 | 1.0126 | 1.0063 |
| No log | 4.1205 | 342 | 1.0488 | 0.6013 | 1.0488 | 1.0241 |
| No log | 4.1446 | 344 | 1.1227 | 0.5235 | 1.1227 | 1.0596 |
| No log | 4.1687 | 346 | 1.0689 | 0.5616 | 1.0689 | 1.0339 |
| No log | 4.1928 | 348 | 1.0091 | 0.5924 | 1.0091 | 1.0045 |
| No log | 4.2169 | 350 | 0.8825 | 0.6501 | 0.8825 | 0.9394 |
| No log | 4.2410 | 352 | 0.7860 | 0.6786 | 0.7860 | 0.8866 |
| No log | 4.2651 | 354 | 0.7830 | 0.6558 | 0.7830 | 0.8849 |
| No log | 4.2892 | 356 | 0.8583 | 0.6193 | 0.8583 | 0.9264 |
| No log | 4.3133 | 358 | 0.9282 | 0.5909 | 0.9282 | 0.9634 |
| No log | 4.3373 | 360 | 0.8842 | 0.6111 | 0.8842 | 0.9403 |
| No log | 4.3614 | 362 | 0.8000 | 0.6449 | 0.8000 | 0.8944 |
| No log | 4.3855 | 364 | 0.7788 | 0.6735 | 0.7788 | 0.8825 |
| No log | 4.4096 | 366 | 0.8571 | 0.6143 | 0.8571 | 0.9258 |
| No log | 4.4337 | 368 | 1.1049 | 0.6080 | 1.1049 | 1.0511 |
| No log | 4.4578 | 370 | 1.3363 | 0.4718 | 1.3363 | 1.1560 |
| No log | 4.4819 | 372 | 1.3614 | 0.4535 | 1.3614 | 1.1668 |
| No log | 4.5060 | 374 | 1.3483 | 0.4801 | 1.3483 | 1.1612 |
| No log | 4.5301 | 376 | 1.3258 | 0.5124 | 1.3258 | 1.1514 |
| No log | 4.5542 | 378 | 1.0951 | 0.6131 | 1.0951 | 1.0465 |
| No log | 4.5783 | 380 | 0.7884 | 0.6514 | 0.7884 | 0.8879 |
| No log | 4.6024 | 382 | 0.6626 | 0.6641 | 0.6626 | 0.8140 |
| No log | 4.6265 | 384 | 0.6612 | 0.6827 | 0.6612 | 0.8131 |
| No log | 4.6506 | 386 | 0.6597 | 0.6691 | 0.6597 | 0.8122 |
| No log | 4.6747 | 388 | 0.6519 | 0.7012 | 0.6519 | 0.8074 |
| No log | 4.6988 | 390 | 0.6949 | 0.6692 | 0.6949 | 0.8336 |
| No log | 4.7229 | 392 | 0.9042 | 0.6494 | 0.9042 | 0.9509 |
| No log | 4.7470 | 394 | 1.0757 | 0.6435 | 1.0757 | 1.0372 |
| No log | 4.7711 | 396 | 1.2127 | 0.5544 | 1.2127 | 1.1012 |
| No log | 4.7952 | 398 | 1.3789 | 0.4871 | 1.3789 | 1.1743 |
| No log | 4.8193 | 400 | 1.4682 | 0.4816 | 1.4682 | 1.2117 |
| No log | 4.8434 | 402 | 1.4691 | 0.4947 | 1.4691 | 1.2120 |
| No log | 4.8675 | 404 | 1.4554 | 0.5054 | 1.4554 | 1.2064 |
| No log | 4.8916 | 406 | 1.3286 | 0.5008 | 1.3286 | 1.1526 |
| No log | 4.9157 | 408 | 1.3296 | 0.5150 | 1.3296 | 1.1531 |
| No log | 4.9398 | 410 | 1.3181 | 0.5185 | 1.3181 | 1.1481 |
| No log | 4.9639 | 412 | 1.2615 | 0.5507 | 1.2615 | 1.1232 |
| No log | 4.9880 | 414 | 1.1114 | 0.6197 | 1.1114 | 1.0542 |
| No log | 5.0120 | 416 | 1.0389 | 0.6307 | 1.0389 | 1.0193 |
| No log | 5.0361 | 418 | 0.9732 | 0.6542 | 0.9732 | 0.9865 |
| No log | 5.0602 | 420 | 0.9025 | 0.6580 | 0.9025 | 0.9500 |
| No log | 5.0843 | 422 | 0.9100 | 0.6749 | 0.9100 | 0.9539 |
| No log | 5.1084 | 424 | 1.0326 | 0.6342 | 1.0326 | 1.0162 |
| No log | 5.1325 | 426 | 1.2373 | 0.5719 | 1.2373 | 1.1123 |
| No log | 5.1566 | 428 | 1.2641 | 0.5266 | 1.2641 | 1.1243 |
| No log | 5.1807 | 430 | 1.2096 | 0.5437 | 1.2096 | 1.0998 |
| No log | 5.2048 | 432 | 1.0810 | 0.5651 | 1.0810 | 1.0397 |
| No log | 5.2289 | 434 | 1.0681 | 0.5818 | 1.0681 | 1.0335 |
| No log | 5.2530 | 436 | 1.1087 | 0.6008 | 1.1087 | 1.0529 |
| No log | 5.2771 | 438 | 0.9870 | 0.6329 | 0.9870 | 0.9935 |
| No log | 5.3012 | 440 | 0.8994 | 0.6340 | 0.8994 | 0.9483 |
| No log | 5.3253 | 442 | 0.9061 | 0.6352 | 0.9061 | 0.9519 |
| No log | 5.3494 | 444 | 0.8734 | 0.6308 | 0.8734 | 0.9345 |
| No log | 5.3735 | 446 | 0.7783 | 0.6544 | 0.7783 | 0.8822 |
| No log | 5.3976 | 448 | 0.7056 | 0.6782 | 0.7056 | 0.8400 |
| No log | 5.4217 | 450 | 0.6898 | 0.6988 | 0.6898 | 0.8305 |
| No log | 5.4458 | 452 | 0.7044 | 0.6863 | 0.7044 | 0.8393 |
| No log | 5.4699 | 454 | 0.7410 | 0.6869 | 0.7410 | 0.8608 |
| No log | 5.4940 | 456 | 0.7590 | 0.6924 | 0.7590 | 0.8712 |
| No log | 5.5181 | 458 | 0.7214 | 0.7154 | 0.7214 | 0.8494 |
| No log | 5.5422 | 460 | 0.6756 | 0.7223 | 0.6756 | 0.8220 |
| No log | 5.5663 | 462 | 0.6709 | 0.7186 | 0.6709 | 0.8191 |
| No log | 5.5904 | 464 | 0.6608 | 0.7216 | 0.6608 | 0.8129 |
| No log | 5.6145 | 466 | 0.6705 | 0.7088 | 0.6705 | 0.8188 |
| No log | 5.6386 | 468 | 0.6958 | 0.7255 | 0.6958 | 0.8341 |
| No log | 5.6627 | 470 | 0.6775 | 0.7189 | 0.6775 | 0.8231 |
| No log | 5.6867 | 472 | 0.6616 | 0.7180 | 0.6616 | 0.8134 |
| No log | 5.7108 | 474 | 0.6648 | 0.7180 | 0.6648 | 0.8153 |
| No log | 5.7349 | 476 | 0.7127 | 0.6916 | 0.7127 | 0.8442 |
| No log | 5.7590 | 478 | 0.7819 | 0.6480 | 0.7819 | 0.8842 |
| No log | 5.7831 | 480 | 0.9148 | 0.6442 | 0.9148 | 0.9564 |
| No log | 5.8072 | 482 | 1.0795 | 0.5939 | 1.0795 | 1.0390 |
| No log | 5.8313 | 484 | 1.1930 | 0.5763 | 1.1930 | 1.0922 |
| No log | 5.8554 | 486 | 1.2076 | 0.5361 | 1.2076 | 1.0989 |
| No log | 5.8795 | 488 | 1.1971 | 0.5245 | 1.1971 | 1.0941 |
| No log | 5.9036 | 490 | 1.1681 | 0.5245 | 1.1681 | 1.0808 |
| No log | 5.9277 | 492 | 1.1211 | 0.5519 | 1.1211 | 1.0588 |
| No log | 5.9518 | 494 | 0.9539 | 0.6225 | 0.9539 | 0.9767 |
| No log | 5.9759 | 496 | 0.8041 | 0.6920 | 0.8041 | 0.8967 |
| No log | 6.0 | 498 | 0.7271 | 0.7069 | 0.7271 | 0.8527 |
| 0.4471 | 6.0241 | 500 | 0.7192 | 0.6941 | 0.7192 | 0.8480 |
| 0.4471 | 6.0482 | 502 | 0.7546 | 0.6792 | 0.7546 | 0.8687 |
| 0.4471 | 6.0723 | 504 | 0.7720 | 0.6832 | 0.7720 | 0.8786 |
| 0.4471 | 6.0964 | 506 | 0.7982 | 0.6049 | 0.7982 | 0.8934 |
| 0.4471 | 6.1205 | 508 | 0.7904 | 0.5962 | 0.7904 | 0.8890 |
| 0.4471 | 6.1446 | 510 | 0.7791 | 0.5959 | 0.7791 | 0.8827 |
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/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k17_task1_organization
Base model
aubmindlab/bert-base-arabertv02