Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k14_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k14_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k14_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k14_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k14_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k14_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: 0.9779
- Qwk: 0.6476
- Mse: 0.9779
- Rmse: 0.9889
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0377 | 2 | 2.2430 | 0.0523 | 2.2430 | 1.4977 |
| No log | 0.0755 | 4 | 1.7621 | 0.1069 | 1.7621 | 1.3274 |
| No log | 0.1132 | 6 | 1.3105 | 0.2255 | 1.3105 | 1.1448 |
| No log | 0.1509 | 8 | 1.7065 | 0.1720 | 1.7065 | 1.3063 |
| No log | 0.1887 | 10 | 1.9304 | 0.1787 | 1.9304 | 1.3894 |
| No log | 0.2264 | 12 | 2.1002 | 0.1700 | 2.1002 | 1.4492 |
| No log | 0.2642 | 14 | 1.9657 | 0.2537 | 1.9657 | 1.4020 |
| No log | 0.3019 | 16 | 1.6929 | 0.1570 | 1.6929 | 1.3011 |
| No log | 0.3396 | 18 | 1.5200 | 0.0645 | 1.5200 | 1.2329 |
| No log | 0.3774 | 20 | 1.4612 | 0.0645 | 1.4612 | 1.2088 |
| No log | 0.4151 | 22 | 1.4386 | 0.0600 | 1.4386 | 1.1994 |
| No log | 0.4528 | 24 | 1.4147 | 0.0930 | 1.4147 | 1.1894 |
| No log | 0.4906 | 26 | 1.4140 | 0.0554 | 1.4140 | 1.1891 |
| No log | 0.5283 | 28 | 1.4397 | 0.2308 | 1.4397 | 1.1999 |
| No log | 0.5660 | 30 | 1.4223 | 0.2552 | 1.4223 | 1.1926 |
| No log | 0.6038 | 32 | 1.5102 | 0.3548 | 1.5102 | 1.2289 |
| No log | 0.6415 | 34 | 1.5159 | 0.3224 | 1.5159 | 1.2312 |
| No log | 0.6792 | 36 | 1.3776 | 0.2942 | 1.3776 | 1.1737 |
| No log | 0.7170 | 38 | 1.3109 | 0.2892 | 1.3109 | 1.1450 |
| No log | 0.7547 | 40 | 1.3006 | 0.3544 | 1.3006 | 1.1404 |
| No log | 0.7925 | 42 | 1.2886 | 0.3315 | 1.2886 | 1.1352 |
| No log | 0.8302 | 44 | 1.2910 | 0.3536 | 1.2910 | 1.1362 |
| No log | 0.8679 | 46 | 1.2704 | 0.3867 | 1.2704 | 1.1271 |
| No log | 0.9057 | 48 | 1.2577 | 0.3628 | 1.2577 | 1.1215 |
| No log | 0.9434 | 50 | 1.2766 | 0.3193 | 1.2766 | 1.1299 |
| No log | 0.9811 | 52 | 1.2629 | 0.3987 | 1.2629 | 1.1238 |
| No log | 1.0189 | 54 | 1.3089 | 0.4291 | 1.3089 | 1.1441 |
| No log | 1.0566 | 56 | 1.2932 | 0.4286 | 1.2932 | 1.1372 |
| No log | 1.0943 | 58 | 1.3439 | 0.4465 | 1.3439 | 1.1593 |
| No log | 1.1321 | 60 | 1.1663 | 0.4894 | 1.1663 | 1.0799 |
| No log | 1.1698 | 62 | 1.1218 | 0.4631 | 1.1218 | 1.0592 |
| No log | 1.2075 | 64 | 1.1105 | 0.4985 | 1.1105 | 1.0538 |
| No log | 1.2453 | 66 | 1.0954 | 0.5223 | 1.0954 | 1.0466 |
| No log | 1.2830 | 68 | 1.0794 | 0.5218 | 1.0794 | 1.0389 |
| No log | 1.3208 | 70 | 1.0637 | 0.5145 | 1.0637 | 1.0314 |
| No log | 1.3585 | 72 | 1.1698 | 0.4875 | 1.1698 | 1.0816 |
| No log | 1.3962 | 74 | 1.3132 | 0.4569 | 1.3132 | 1.1459 |
| No log | 1.4340 | 76 | 1.2530 | 0.4709 | 1.2530 | 1.1194 |
| No log | 1.4717 | 78 | 1.2995 | 0.4461 | 1.2995 | 1.1399 |
| No log | 1.5094 | 80 | 1.3705 | 0.4536 | 1.3705 | 1.1707 |
| No log | 1.5472 | 82 | 1.3961 | 0.4447 | 1.3961 | 1.1816 |
| No log | 1.5849 | 84 | 1.3473 | 0.4879 | 1.3473 | 1.1607 |
| No log | 1.6226 | 86 | 1.2069 | 0.5073 | 1.2069 | 1.0986 |
| No log | 1.6604 | 88 | 1.3805 | 0.5000 | 1.3805 | 1.1750 |
| No log | 1.6981 | 90 | 1.6949 | 0.4480 | 1.6949 | 1.3019 |
| No log | 1.7358 | 92 | 1.5144 | 0.4876 | 1.5144 | 1.2306 |
| No log | 1.7736 | 94 | 1.1641 | 0.5732 | 1.1641 | 1.0790 |
| No log | 1.8113 | 96 | 1.0492 | 0.5778 | 1.0492 | 1.0243 |
| No log | 1.8491 | 98 | 1.2181 | 0.5115 | 1.2181 | 1.1037 |
| No log | 1.8868 | 100 | 1.1914 | 0.5185 | 1.1914 | 1.0915 |
| No log | 1.9245 | 102 | 1.1945 | 0.4966 | 1.1945 | 1.0929 |
| No log | 1.9623 | 104 | 1.1182 | 0.5128 | 1.1182 | 1.0575 |
| No log | 2.0 | 106 | 0.9202 | 0.5097 | 0.9202 | 0.9593 |
| No log | 2.0377 | 108 | 0.8739 | 0.6121 | 0.8739 | 0.9348 |
| No log | 2.0755 | 110 | 0.8747 | 0.5693 | 0.8747 | 0.9353 |
| No log | 2.1132 | 112 | 1.0405 | 0.5757 | 1.0405 | 1.0200 |
| No log | 2.1509 | 114 | 1.1669 | 0.5944 | 1.1669 | 1.0802 |
| No log | 2.1887 | 116 | 1.0031 | 0.6485 | 1.0031 | 1.0016 |
| No log | 2.2264 | 118 | 0.8872 | 0.6180 | 0.8872 | 0.9419 |
| No log | 2.2642 | 120 | 0.8918 | 0.6408 | 0.8918 | 0.9443 |
| No log | 2.3019 | 122 | 1.0404 | 0.6436 | 1.0404 | 1.0200 |
| No log | 2.3396 | 124 | 1.3274 | 0.5808 | 1.3274 | 1.1521 |
| No log | 2.3774 | 126 | 1.2591 | 0.6073 | 1.2591 | 1.1221 |
| No log | 2.4151 | 128 | 1.0498 | 0.6420 | 1.0498 | 1.0246 |
| No log | 2.4528 | 130 | 0.8662 | 0.6644 | 0.8662 | 0.9307 |
| No log | 2.4906 | 132 | 0.8337 | 0.6323 | 0.8337 | 0.9131 |
| No log | 2.5283 | 134 | 0.9285 | 0.6095 | 0.9285 | 0.9636 |
| No log | 2.5660 | 136 | 1.1745 | 0.5567 | 1.1745 | 1.0837 |
| No log | 2.6038 | 138 | 1.2536 | 0.5356 | 1.2536 | 1.1196 |
| No log | 2.6415 | 140 | 1.3731 | 0.5245 | 1.3731 | 1.1718 |
| No log | 2.6792 | 142 | 1.2984 | 0.5085 | 1.2984 | 1.1395 |
| No log | 2.7170 | 144 | 1.0521 | 0.5197 | 1.0521 | 1.0257 |
| No log | 2.7547 | 146 | 0.9636 | 0.6136 | 0.9636 | 0.9816 |
| No log | 2.7925 | 148 | 1.0421 | 0.5503 | 1.0421 | 1.0208 |
| No log | 2.8302 | 150 | 1.2836 | 0.5230 | 1.2836 | 1.1330 |
| No log | 2.8679 | 152 | 1.3947 | 0.5254 | 1.3947 | 1.1810 |
| No log | 2.9057 | 154 | 1.4283 | 0.5354 | 1.4283 | 1.1951 |
| No log | 2.9434 | 156 | 1.3380 | 0.5521 | 1.3380 | 1.1567 |
| No log | 2.9811 | 158 | 1.0478 | 0.6080 | 1.0478 | 1.0236 |
| No log | 3.0189 | 160 | 0.9736 | 0.6159 | 0.9736 | 0.9867 |
| No log | 3.0566 | 162 | 1.0859 | 0.5903 | 1.0859 | 1.0421 |
| No log | 3.0943 | 164 | 1.2694 | 0.5569 | 1.2694 | 1.1267 |
| No log | 3.1321 | 166 | 1.3014 | 0.5707 | 1.3014 | 1.1408 |
| No log | 3.1698 | 168 | 1.1300 | 0.6040 | 1.1300 | 1.0630 |
| No log | 3.2075 | 170 | 1.0048 | 0.6446 | 1.0048 | 1.0024 |
| No log | 3.2453 | 172 | 0.9270 | 0.6677 | 0.9270 | 0.9628 |
| No log | 3.2830 | 174 | 1.0122 | 0.6615 | 1.0122 | 1.0061 |
| No log | 3.3208 | 176 | 1.1876 | 0.5974 | 1.1876 | 1.0898 |
| No log | 3.3585 | 178 | 1.2102 | 0.5471 | 1.2102 | 1.1001 |
| No log | 3.3962 | 180 | 1.1885 | 0.5704 | 1.1885 | 1.0902 |
| No log | 3.4340 | 182 | 1.0973 | 0.6229 | 1.0973 | 1.0475 |
| No log | 3.4717 | 184 | 1.1070 | 0.5998 | 1.1070 | 1.0521 |
| No log | 3.5094 | 186 | 1.1932 | 0.5558 | 1.1932 | 1.0923 |
| No log | 3.5472 | 188 | 1.0768 | 0.5976 | 1.0768 | 1.0377 |
| No log | 3.5849 | 190 | 1.0621 | 0.5724 | 1.0621 | 1.0306 |
| No log | 3.6226 | 192 | 1.2224 | 0.5392 | 1.2224 | 1.1056 |
| No log | 3.6604 | 194 | 1.2498 | 0.5243 | 1.2498 | 1.1180 |
| No log | 3.6981 | 196 | 1.1972 | 0.5426 | 1.1972 | 1.0942 |
| No log | 3.7358 | 198 | 0.9859 | 0.6142 | 0.9859 | 0.9929 |
| No log | 3.7736 | 200 | 0.9013 | 0.6284 | 0.9013 | 0.9494 |
| No log | 3.8113 | 202 | 0.9729 | 0.6179 | 0.9729 | 0.9864 |
| No log | 3.8491 | 204 | 0.9836 | 0.6237 | 0.9836 | 0.9918 |
| No log | 3.8868 | 206 | 1.0590 | 0.6009 | 1.0590 | 1.0291 |
| No log | 3.9245 | 208 | 1.1889 | 0.6087 | 1.1889 | 1.0904 |
| No log | 3.9623 | 210 | 1.1994 | 0.6120 | 1.1994 | 1.0952 |
| No log | 4.0 | 212 | 1.0737 | 0.6092 | 1.0737 | 1.0362 |
| No log | 4.0377 | 214 | 1.1383 | 0.6072 | 1.1383 | 1.0669 |
| No log | 4.0755 | 216 | 1.1472 | 0.5977 | 1.1472 | 1.0711 |
| No log | 4.1132 | 218 | 1.0250 | 0.6146 | 1.0250 | 1.0124 |
| No log | 4.1509 | 220 | 0.9287 | 0.6182 | 0.9287 | 0.9637 |
| No log | 4.1887 | 222 | 0.8558 | 0.6376 | 0.8558 | 0.9251 |
| No log | 4.2264 | 224 | 0.8539 | 0.6217 | 0.8539 | 0.9240 |
| No log | 4.2642 | 226 | 0.9466 | 0.6354 | 0.9466 | 0.9729 |
| No log | 4.3019 | 228 | 1.1240 | 0.6063 | 1.1240 | 1.0602 |
| No log | 4.3396 | 230 | 1.1223 | 0.6114 | 1.1223 | 1.0594 |
| No log | 4.3774 | 232 | 1.0292 | 0.6077 | 1.0292 | 1.0145 |
| No log | 4.4151 | 234 | 0.9641 | 0.6389 | 0.9641 | 0.9819 |
| No log | 4.4528 | 236 | 1.0427 | 0.6065 | 1.0427 | 1.0211 |
| No log | 4.4906 | 238 | 1.2512 | 0.5726 | 1.2512 | 1.1186 |
| No log | 4.5283 | 240 | 1.3106 | 0.5197 | 1.3106 | 1.1448 |
| No log | 4.5660 | 242 | 1.1856 | 0.5296 | 1.1856 | 1.0888 |
| No log | 4.6038 | 244 | 1.0660 | 0.5877 | 1.0660 | 1.0325 |
| No log | 4.6415 | 246 | 1.0028 | 0.5998 | 1.0028 | 1.0014 |
| No log | 4.6792 | 248 | 1.0152 | 0.6113 | 1.0152 | 1.0076 |
| No log | 4.7170 | 250 | 0.9894 | 0.6303 | 0.9894 | 0.9947 |
| No log | 4.7547 | 252 | 0.9749 | 0.6438 | 0.9749 | 0.9874 |
| No log | 4.7925 | 254 | 1.0305 | 0.6077 | 1.0305 | 1.0151 |
| No log | 4.8302 | 256 | 1.1383 | 0.6041 | 1.1383 | 1.0669 |
| No log | 4.8679 | 258 | 1.1337 | 0.6041 | 1.1337 | 1.0648 |
| No log | 4.9057 | 260 | 1.1274 | 0.6135 | 1.1274 | 1.0618 |
| No log | 4.9434 | 262 | 1.1144 | 0.6302 | 1.1144 | 1.0556 |
| No log | 4.9811 | 264 | 1.0523 | 0.6125 | 1.0523 | 1.0258 |
| No log | 5.0189 | 266 | 1.0667 | 0.6185 | 1.0667 | 1.0328 |
| No log | 5.0566 | 268 | 1.0024 | 0.6252 | 1.0024 | 1.0012 |
| No log | 5.0943 | 270 | 0.9504 | 0.6395 | 0.9504 | 0.9749 |
| No log | 5.1321 | 272 | 0.9843 | 0.6161 | 0.9843 | 0.9921 |
| No log | 5.1698 | 274 | 1.0650 | 0.5956 | 1.0650 | 1.0320 |
| No log | 5.2075 | 276 | 1.1875 | 0.5623 | 1.1875 | 1.0897 |
| No log | 5.2453 | 278 | 1.1234 | 0.6046 | 1.1234 | 1.0599 |
| No log | 5.2830 | 280 | 0.9633 | 0.6222 | 0.9633 | 0.9815 |
| No log | 5.3208 | 282 | 0.8885 | 0.6331 | 0.8885 | 0.9426 |
| No log | 5.3585 | 284 | 0.8740 | 0.6297 | 0.8740 | 0.9349 |
| No log | 5.3962 | 286 | 0.8609 | 0.6297 | 0.8609 | 0.9279 |
| No log | 5.4340 | 288 | 0.9186 | 0.6349 | 0.9186 | 0.9584 |
| No log | 5.4717 | 290 | 0.9813 | 0.6383 | 0.9813 | 0.9906 |
| No log | 5.5094 | 292 | 0.9557 | 0.6331 | 0.9557 | 0.9776 |
| No log | 5.5472 | 294 | 0.8706 | 0.6273 | 0.8706 | 0.9331 |
| No log | 5.5849 | 296 | 0.8216 | 0.6519 | 0.8216 | 0.9064 |
| No log | 5.6226 | 298 | 0.8535 | 0.6406 | 0.8535 | 0.9239 |
| No log | 5.6604 | 300 | 0.9215 | 0.6454 | 0.9215 | 0.9599 |
| No log | 5.6981 | 302 | 0.9663 | 0.6150 | 0.9663 | 0.9830 |
| No log | 5.7358 | 304 | 0.9444 | 0.6294 | 0.9444 | 0.9718 |
| No log | 5.7736 | 306 | 0.8754 | 0.6376 | 0.8754 | 0.9356 |
| No log | 5.8113 | 308 | 0.8313 | 0.6550 | 0.8313 | 0.9118 |
| No log | 5.8491 | 310 | 0.8903 | 0.6482 | 0.8903 | 0.9435 |
| No log | 5.8868 | 312 | 1.0412 | 0.6050 | 1.0412 | 1.0204 |
| No log | 5.9245 | 314 | 1.1092 | 0.6036 | 1.1092 | 1.0532 |
| No log | 5.9623 | 316 | 1.2518 | 0.5920 | 1.2518 | 1.1188 |
| No log | 6.0 | 318 | 1.3126 | 0.6032 | 1.3126 | 1.1457 |
| No log | 6.0377 | 320 | 1.2065 | 0.6154 | 1.2065 | 1.0984 |
| No log | 6.0755 | 322 | 1.0055 | 0.6449 | 1.0055 | 1.0028 |
| No log | 6.1132 | 324 | 0.8710 | 0.6662 | 0.8710 | 0.9333 |
| No log | 6.1509 | 326 | 0.8265 | 0.6765 | 0.8265 | 0.9091 |
| No log | 6.1887 | 328 | 0.8857 | 0.6670 | 0.8857 | 0.9411 |
| No log | 6.2264 | 330 | 0.9541 | 0.6492 | 0.9541 | 0.9768 |
| No log | 6.2642 | 332 | 1.1055 | 0.6121 | 1.1055 | 1.0514 |
| No log | 6.3019 | 334 | 1.2079 | 0.6048 | 1.2079 | 1.0990 |
| No log | 6.3396 | 336 | 1.1524 | 0.6016 | 1.1524 | 1.0735 |
| No log | 6.3774 | 338 | 1.0481 | 0.5777 | 1.0481 | 1.0238 |
| No log | 6.4151 | 340 | 0.9256 | 0.6366 | 0.9256 | 0.9621 |
| No log | 6.4528 | 342 | 0.8275 | 0.6803 | 0.8275 | 0.9096 |
| No log | 6.4906 | 344 | 0.8373 | 0.6774 | 0.8373 | 0.9150 |
| No log | 6.5283 | 346 | 0.9135 | 0.6352 | 0.9135 | 0.9558 |
| No log | 6.5660 | 348 | 1.0833 | 0.6311 | 1.0833 | 1.0408 |
| No log | 6.6038 | 350 | 1.1987 | 0.5913 | 1.1987 | 1.0949 |
| No log | 6.6415 | 352 | 1.1670 | 0.5965 | 1.1670 | 1.0803 |
| No log | 6.6792 | 354 | 1.0223 | 0.6280 | 1.0223 | 1.0111 |
| No log | 6.7170 | 356 | 0.8885 | 0.6381 | 0.8885 | 0.9426 |
| No log | 6.7547 | 358 | 0.8256 | 0.6528 | 0.8256 | 0.9086 |
| No log | 6.7925 | 360 | 0.8330 | 0.6512 | 0.8330 | 0.9127 |
| No log | 6.8302 | 362 | 0.8621 | 0.6497 | 0.8621 | 0.9285 |
| No log | 6.8679 | 364 | 0.9685 | 0.6427 | 0.9685 | 0.9841 |
| No log | 6.9057 | 366 | 1.1058 | 0.6259 | 1.1058 | 1.0516 |
| No log | 6.9434 | 368 | 1.2231 | 0.5913 | 1.2231 | 1.1059 |
| No log | 6.9811 | 370 | 1.2143 | 0.5959 | 1.2143 | 1.1019 |
| No log | 7.0189 | 372 | 1.2007 | 0.5959 | 1.2007 | 1.0958 |
| No log | 7.0566 | 374 | 1.1431 | 0.6109 | 1.1431 | 1.0691 |
| No log | 7.0943 | 376 | 1.0683 | 0.6338 | 1.0683 | 1.0336 |
| No log | 7.1321 | 378 | 0.9924 | 0.6321 | 0.9924 | 0.9962 |
| No log | 7.1698 | 380 | 0.9046 | 0.6335 | 0.9046 | 0.9511 |
| No log | 7.2075 | 382 | 0.7885 | 0.6741 | 0.7885 | 0.8880 |
| No log | 7.2453 | 384 | 0.7398 | 0.6943 | 0.7398 | 0.8601 |
| No log | 7.2830 | 386 | 0.7462 | 0.6982 | 0.7462 | 0.8638 |
| No log | 7.3208 | 388 | 0.7905 | 0.6550 | 0.7905 | 0.8891 |
| No log | 7.3585 | 390 | 0.8747 | 0.6435 | 0.8747 | 0.9352 |
| No log | 7.3962 | 392 | 0.9358 | 0.6505 | 0.9358 | 0.9674 |
| No log | 7.4340 | 394 | 1.0063 | 0.6447 | 1.0063 | 1.0031 |
| No log | 7.4717 | 396 | 1.0157 | 0.64 | 1.0157 | 1.0078 |
| No log | 7.5094 | 398 | 0.9483 | 0.6595 | 0.9483 | 0.9738 |
| No log | 7.5472 | 400 | 0.9035 | 0.6618 | 0.9035 | 0.9505 |
| No log | 7.5849 | 402 | 0.8734 | 0.6844 | 0.8734 | 0.9346 |
| No log | 7.6226 | 404 | 0.8410 | 0.6940 | 0.8410 | 0.9171 |
| No log | 7.6604 | 406 | 0.8714 | 0.6842 | 0.8714 | 0.9335 |
| No log | 7.6981 | 408 | 0.9220 | 0.6570 | 0.9220 | 0.9602 |
| No log | 7.7358 | 410 | 0.9377 | 0.6530 | 0.9377 | 0.9683 |
| No log | 7.7736 | 412 | 0.9302 | 0.6545 | 0.9302 | 0.9645 |
| No log | 7.8113 | 414 | 0.9038 | 0.6432 | 0.9038 | 0.9507 |
| No log | 7.8491 | 416 | 0.8923 | 0.6522 | 0.8923 | 0.9446 |
| No log | 7.8868 | 418 | 0.8676 | 0.6410 | 0.8676 | 0.9315 |
| No log | 7.9245 | 420 | 0.8403 | 0.6695 | 0.8403 | 0.9167 |
| No log | 7.9623 | 422 | 0.8566 | 0.6410 | 0.8566 | 0.9256 |
| No log | 8.0 | 424 | 0.8570 | 0.6410 | 0.8570 | 0.9257 |
| No log | 8.0377 | 426 | 0.8286 | 0.6789 | 0.8286 | 0.9103 |
| No log | 8.0755 | 428 | 0.8296 | 0.6782 | 0.8296 | 0.9108 |
| No log | 8.1132 | 430 | 0.8562 | 0.6410 | 0.8562 | 0.9253 |
| No log | 8.1509 | 432 | 0.9283 | 0.6560 | 0.9283 | 0.9635 |
| No log | 8.1887 | 434 | 0.9603 | 0.6469 | 0.9603 | 0.9800 |
| No log | 8.2264 | 436 | 0.9826 | 0.6455 | 0.9826 | 0.9912 |
| No log | 8.2642 | 438 | 0.9673 | 0.6366 | 0.9673 | 0.9835 |
| No log | 8.3019 | 440 | 0.9045 | 0.6474 | 0.9045 | 0.9510 |
| No log | 8.3396 | 442 | 0.8736 | 0.6600 | 0.8736 | 0.9347 |
| No log | 8.3774 | 444 | 0.8431 | 0.6826 | 0.8431 | 0.9182 |
| No log | 8.4151 | 446 | 0.8374 | 0.6826 | 0.8374 | 0.9151 |
| No log | 8.4528 | 448 | 0.8537 | 0.6848 | 0.8537 | 0.9240 |
| No log | 8.4906 | 450 | 0.8756 | 0.6600 | 0.8756 | 0.9357 |
| No log | 8.5283 | 452 | 0.9302 | 0.6456 | 0.9302 | 0.9645 |
| No log | 8.5660 | 454 | 0.9935 | 0.6345 | 0.9935 | 0.9967 |
| No log | 8.6038 | 456 | 1.0168 | 0.6345 | 1.0168 | 1.0083 |
| No log | 8.6415 | 458 | 1.0132 | 0.6363 | 1.0132 | 1.0066 |
| No log | 8.6792 | 460 | 1.0166 | 0.6324 | 1.0166 | 1.0083 |
| No log | 8.7170 | 462 | 1.0339 | 0.6125 | 1.0339 | 1.0168 |
| No log | 8.7547 | 464 | 1.0134 | 0.6259 | 1.0134 | 1.0067 |
| No log | 8.7925 | 466 | 0.9647 | 0.6476 | 0.9647 | 0.9822 |
| No log | 8.8302 | 468 | 0.9239 | 0.6407 | 0.9239 | 0.9612 |
| No log | 8.8679 | 470 | 0.8850 | 0.6331 | 0.8850 | 0.9408 |
| No log | 8.9057 | 472 | 0.8821 | 0.6331 | 0.8821 | 0.9392 |
| No log | 8.9434 | 474 | 0.8985 | 0.6316 | 0.8985 | 0.9479 |
| No log | 8.9811 | 476 | 0.9273 | 0.6458 | 0.9273 | 0.9630 |
| No log | 9.0189 | 478 | 0.9285 | 0.6458 | 0.9285 | 0.9636 |
| No log | 9.0566 | 480 | 0.9238 | 0.6458 | 0.9238 | 0.9611 |
| No log | 9.0943 | 482 | 0.9171 | 0.6458 | 0.9171 | 0.9576 |
| No log | 9.1321 | 484 | 0.9133 | 0.6375 | 0.9133 | 0.9557 |
| No log | 9.1698 | 486 | 0.9052 | 0.6375 | 0.9052 | 0.9514 |
| No log | 9.2075 | 488 | 0.9020 | 0.6330 | 0.9020 | 0.9497 |
| No log | 9.2453 | 490 | 0.9200 | 0.6458 | 0.9200 | 0.9592 |
| No log | 9.2830 | 492 | 0.9417 | 0.6469 | 0.9417 | 0.9704 |
| No log | 9.3208 | 494 | 0.9549 | 0.6501 | 0.9549 | 0.9772 |
| No log | 9.3585 | 496 | 0.9827 | 0.6427 | 0.9827 | 0.9913 |
| No log | 9.3962 | 498 | 0.9921 | 0.6345 | 0.9921 | 0.9961 |
| 0.3129 | 9.4340 | 500 | 1.0002 | 0.64 | 1.0002 | 1.0001 |
| 0.3129 | 9.4717 | 502 | 0.9950 | 0.6345 | 0.9950 | 0.9975 |
| 0.3129 | 9.5094 | 504 | 0.9905 | 0.6345 | 0.9905 | 0.9953 |
| 0.3129 | 9.5472 | 506 | 0.9875 | 0.6345 | 0.9875 | 0.9937 |
| 0.3129 | 9.5849 | 508 | 0.9810 | 0.6427 | 0.9810 | 0.9904 |
| 0.3129 | 9.6226 | 510 | 0.9733 | 0.6486 | 0.9733 | 0.9865 |
| 0.3129 | 9.6604 | 512 | 0.9655 | 0.6476 | 0.9655 | 0.9826 |
| 0.3129 | 9.6981 | 514 | 0.9659 | 0.6476 | 0.9659 | 0.9828 |
| 0.3129 | 9.7358 | 516 | 0.9710 | 0.6476 | 0.9710 | 0.9854 |
| 0.3129 | 9.7736 | 518 | 0.9740 | 0.6476 | 0.9740 | 0.9869 |
| 0.3129 | 9.8113 | 520 | 0.9737 | 0.6476 | 0.9737 | 0.9868 |
| 0.3129 | 9.8491 | 522 | 0.9720 | 0.6476 | 0.9720 | 0.9859 |
| 0.3129 | 9.8868 | 524 | 0.9722 | 0.6476 | 0.9722 | 0.9860 |
| 0.3129 | 9.9245 | 526 | 0.9738 | 0.6476 | 0.9738 | 0.9868 |
| 0.3129 | 9.9623 | 528 | 0.9763 | 0.6476 | 0.9763 | 0.9881 |
| 0.3129 | 10.0 | 530 | 0.9779 | 0.6476 | 0.9779 | 0.9889 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
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Model tree for MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k14_task5_organization
Base model
aubmindlab/bert-base-arabertv02