Instructions to use MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k16_task3_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k16_task3_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k16_task3_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k16_task3_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k16_task3_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k16_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: 0.8260
- Qwk: 0.2000
- Mse: 0.8260
- Rmse: 0.9088
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 | 0.0290 | 2 | 3.2543 | -0.0149 | 3.2543 | 1.8040 |
| No log | 0.0580 | 4 | 1.9011 | -0.0101 | 1.9011 | 1.3788 |
| No log | 0.0870 | 6 | 1.1081 | 0.0376 | 1.1081 | 1.0527 |
| No log | 0.1159 | 8 | 0.6088 | 0.0476 | 0.6088 | 0.7803 |
| No log | 0.1449 | 10 | 0.5878 | 0.0569 | 0.5878 | 0.7667 |
| No log | 0.1739 | 12 | 0.5968 | -0.0081 | 0.5968 | 0.7725 |
| No log | 0.2029 | 14 | 0.6092 | 0.1773 | 0.6092 | 0.7805 |
| No log | 0.2319 | 16 | 0.7578 | 0.2281 | 0.7578 | 0.8705 |
| No log | 0.2609 | 18 | 0.7294 | 0.2432 | 0.7294 | 0.8540 |
| No log | 0.2899 | 20 | 0.7114 | 0.3548 | 0.7114 | 0.8434 |
| No log | 0.3188 | 22 | 0.6618 | 0.2000 | 0.6618 | 0.8135 |
| No log | 0.3478 | 24 | 0.6217 | 0.0 | 0.6217 | 0.7885 |
| No log | 0.3768 | 26 | 0.6243 | 0.0 | 0.6243 | 0.7901 |
| No log | 0.4058 | 28 | 0.6305 | 0.0 | 0.6305 | 0.7941 |
| No log | 0.4348 | 30 | 0.6355 | 0.0 | 0.6355 | 0.7972 |
| No log | 0.4638 | 32 | 0.6179 | 0.0 | 0.6179 | 0.7860 |
| No log | 0.4928 | 34 | 0.5994 | 0.0 | 0.5994 | 0.7742 |
| No log | 0.5217 | 36 | 0.5797 | 0.0 | 0.5797 | 0.7614 |
| No log | 0.5507 | 38 | 0.7038 | 0.0 | 0.7038 | 0.8389 |
| No log | 0.5797 | 40 | 0.7957 | 0.0769 | 0.7957 | 0.8920 |
| No log | 0.6087 | 42 | 0.7214 | 0.0815 | 0.7214 | 0.8494 |
| No log | 0.6377 | 44 | 0.6342 | 0.0909 | 0.6342 | 0.7964 |
| No log | 0.6667 | 46 | 0.8044 | 0.0933 | 0.8044 | 0.8969 |
| No log | 0.6957 | 48 | 0.7260 | 0.2444 | 0.7260 | 0.8521 |
| No log | 0.7246 | 50 | 0.6551 | 0.1111 | 0.6551 | 0.8094 |
| No log | 0.7536 | 52 | 0.7262 | 0.1543 | 0.7262 | 0.8521 |
| No log | 0.7826 | 54 | 1.0585 | 0.1172 | 1.0585 | 1.0288 |
| No log | 0.8116 | 56 | 0.9991 | 0.1709 | 0.9991 | 0.9995 |
| No log | 0.8406 | 58 | 0.6325 | 0.1020 | 0.6325 | 0.7953 |
| No log | 0.8696 | 60 | 0.6678 | 0.1411 | 0.6678 | 0.8172 |
| No log | 0.8986 | 62 | 0.6962 | 0.0476 | 0.6962 | 0.8344 |
| No log | 0.9275 | 64 | 1.0692 | 0.1407 | 1.0692 | 1.0340 |
| No log | 0.9565 | 66 | 1.1159 | 0.1407 | 1.1159 | 1.0564 |
| No log | 0.9855 | 68 | 1.0149 | 0.0606 | 1.0149 | 1.0074 |
| No log | 1.0145 | 70 | 0.9915 | 0.0236 | 0.9915 | 0.9957 |
| No log | 1.0435 | 72 | 1.0355 | 0.0929 | 1.0355 | 1.0176 |
| No log | 1.0725 | 74 | 1.3057 | 0.0299 | 1.3057 | 1.1427 |
| No log | 1.1014 | 76 | 1.3179 | 0.0 | 1.3179 | 1.1480 |
| No log | 1.1304 | 78 | 1.0000 | 0.0 | 1.0000 | 1.0000 |
| No log | 1.1594 | 80 | 1.0206 | 0.0476 | 1.0206 | 1.0102 |
| No log | 1.1884 | 82 | 0.9397 | -0.0046 | 0.9397 | 0.9694 |
| No log | 1.2174 | 84 | 1.0167 | 0.0645 | 1.0167 | 1.0083 |
| No log | 1.2464 | 86 | 1.3697 | 0.0644 | 1.3697 | 1.1704 |
| No log | 1.2754 | 88 | 1.3494 | 0.0644 | 1.3494 | 1.1616 |
| No log | 1.3043 | 90 | 1.5292 | 0.0488 | 1.5292 | 1.2366 |
| No log | 1.3333 | 92 | 0.9064 | 0.0901 | 0.9064 | 0.9520 |
| No log | 1.3623 | 94 | 0.8371 | 0.1456 | 0.8371 | 0.9149 |
| No log | 1.3913 | 96 | 0.9085 | 0.1276 | 0.9085 | 0.9531 |
| No log | 1.4203 | 98 | 1.1413 | 0.1944 | 1.1413 | 1.0683 |
| No log | 1.4493 | 100 | 1.5063 | 0.1676 | 1.5063 | 1.2273 |
| No log | 1.4783 | 102 | 1.0089 | 0.1941 | 1.0089 | 1.0045 |
| No log | 1.5072 | 104 | 0.6810 | 0.2393 | 0.6810 | 0.8252 |
| No log | 1.5362 | 106 | 0.6494 | 0.2795 | 0.6494 | 0.8059 |
| No log | 1.5652 | 108 | 0.7823 | 0.1321 | 0.7823 | 0.8845 |
| No log | 1.5942 | 110 | 1.1410 | 0.2165 | 1.1410 | 1.0682 |
| No log | 1.6232 | 112 | 1.1293 | 0.2234 | 1.1293 | 1.0627 |
| No log | 1.6522 | 114 | 0.7006 | 0.1186 | 0.7006 | 0.8370 |
| No log | 1.6812 | 116 | 0.6467 | 0.0692 | 0.6467 | 0.8042 |
| No log | 1.7101 | 118 | 0.6854 | 0.1111 | 0.6854 | 0.8279 |
| No log | 1.7391 | 120 | 0.6211 | 0.2393 | 0.6211 | 0.7881 |
| No log | 1.7681 | 122 | 0.8694 | 0.1790 | 0.8694 | 0.9324 |
| No log | 1.7971 | 124 | 1.0398 | 0.1769 | 1.0398 | 1.0197 |
| No log | 1.8261 | 126 | 0.9557 | 0.2060 | 0.9557 | 0.9776 |
| No log | 1.8551 | 128 | 0.5892 | 0.2189 | 0.5892 | 0.7676 |
| No log | 1.8841 | 130 | 0.5952 | 0.2000 | 0.5952 | 0.7715 |
| No log | 1.9130 | 132 | 0.5916 | 0.1807 | 0.5916 | 0.7691 |
| No log | 1.9420 | 134 | 1.1853 | 0.2107 | 1.1853 | 1.0887 |
| No log | 1.9710 | 136 | 1.6412 | 0.1528 | 1.6412 | 1.2811 |
| No log | 2.0 | 138 | 1.4798 | 0.1775 | 1.4798 | 1.2165 |
| No log | 2.0290 | 140 | 0.7366 | 0.2453 | 0.7366 | 0.8582 |
| No log | 2.0580 | 142 | 0.6362 | 0.2251 | 0.6362 | 0.7976 |
| No log | 2.0870 | 144 | 0.5942 | 0.2179 | 0.5942 | 0.7708 |
| No log | 2.1159 | 146 | 0.7542 | 0.1429 | 0.7542 | 0.8685 |
| No log | 2.1449 | 148 | 1.6370 | 0.1183 | 1.6370 | 1.2795 |
| No log | 2.1739 | 150 | 1.6223 | 0.1175 | 1.6223 | 1.2737 |
| No log | 2.2029 | 152 | 0.8513 | 0.1928 | 0.8513 | 0.9227 |
| No log | 2.2319 | 154 | 0.6150 | 0.1908 | 0.6150 | 0.7842 |
| No log | 2.2609 | 156 | 0.6206 | 0.1908 | 0.6206 | 0.7878 |
| No log | 2.2899 | 158 | 0.7270 | 0.1667 | 0.7270 | 0.8526 |
| No log | 2.3188 | 160 | 1.4517 | 0.1404 | 1.4517 | 1.2049 |
| No log | 2.3478 | 162 | 1.6846 | 0.0786 | 1.6846 | 1.2979 |
| No log | 2.3768 | 164 | 1.2352 | 0.1640 | 1.2352 | 1.1114 |
| No log | 2.4058 | 166 | 0.8087 | 0.2381 | 0.8087 | 0.8993 |
| No log | 2.4348 | 168 | 0.6857 | 0.2727 | 0.6857 | 0.8280 |
| No log | 2.4638 | 170 | 0.6903 | 0.2621 | 0.6903 | 0.8309 |
| No log | 2.4928 | 172 | 0.8662 | 0.2531 | 0.8662 | 0.9307 |
| No log | 2.5217 | 174 | 0.7090 | 0.2637 | 0.7090 | 0.8420 |
| No log | 2.5507 | 176 | 0.5693 | 0.2471 | 0.5693 | 0.7545 |
| No log | 2.5797 | 178 | 0.5445 | 0.2749 | 0.5445 | 0.7379 |
| No log | 2.6087 | 180 | 0.6123 | 0.2093 | 0.6123 | 0.7825 |
| No log | 2.6377 | 182 | 0.7038 | 0.2487 | 0.7038 | 0.8390 |
| No log | 2.6667 | 184 | 0.7185 | 0.2487 | 0.7185 | 0.8476 |
| No log | 2.6957 | 186 | 0.9665 | 0.2527 | 0.9665 | 0.9831 |
| No log | 2.7246 | 188 | 1.0180 | 0.2375 | 1.0180 | 1.0090 |
| No log | 2.7536 | 190 | 0.7498 | 0.3455 | 0.7498 | 0.8659 |
| No log | 2.7826 | 192 | 0.7411 | 0.3214 | 0.7411 | 0.8609 |
| No log | 2.8116 | 194 | 0.8082 | 0.3021 | 0.8082 | 0.8990 |
| No log | 2.8406 | 196 | 0.9770 | 0.2768 | 0.9770 | 0.9885 |
| No log | 2.8696 | 198 | 0.7048 | 0.1919 | 0.7048 | 0.8395 |
| No log | 2.8986 | 200 | 0.5363 | 0.2189 | 0.5363 | 0.7323 |
| No log | 2.9275 | 202 | 0.6183 | 0.2265 | 0.6183 | 0.7863 |
| No log | 2.9565 | 204 | 0.9605 | 0.2741 | 0.9605 | 0.9801 |
| No log | 2.9855 | 206 | 1.5126 | 0.1368 | 1.5126 | 1.2299 |
| No log | 3.0145 | 208 | 1.5715 | 0.1145 | 1.5715 | 1.2536 |
| No log | 3.0435 | 210 | 1.4405 | 0.1515 | 1.4405 | 1.2002 |
| No log | 3.0725 | 212 | 1.1717 | 0.2340 | 1.1717 | 1.0824 |
| No log | 3.1014 | 214 | 1.0201 | 0.1525 | 1.0201 | 1.0100 |
| No log | 3.1304 | 216 | 0.8453 | 0.2146 | 0.8453 | 0.9194 |
| No log | 3.1594 | 218 | 0.8783 | 0.2222 | 0.8783 | 0.9372 |
| No log | 3.1884 | 220 | 0.8531 | 0.2300 | 0.8531 | 0.9237 |
| No log | 3.2174 | 222 | 0.7172 | 0.2251 | 0.7172 | 0.8469 |
| No log | 3.2464 | 224 | 0.6428 | 0.2644 | 0.6428 | 0.8018 |
| No log | 3.2754 | 226 | 0.6614 | 0.1529 | 0.6614 | 0.8132 |
| No log | 3.3043 | 228 | 0.8810 | 0.2294 | 0.8810 | 0.9386 |
| No log | 3.3333 | 230 | 0.8913 | 0.1579 | 0.8913 | 0.9441 |
| No log | 3.3623 | 232 | 0.8646 | 0.1515 | 0.8646 | 0.9298 |
| No log | 3.3913 | 234 | 0.8955 | 0.1515 | 0.8955 | 0.9463 |
| No log | 3.4203 | 236 | 0.9525 | 0.1935 | 0.9525 | 0.9759 |
| No log | 3.4493 | 238 | 0.8865 | 0.2000 | 0.8865 | 0.9416 |
| No log | 3.4783 | 240 | 1.0037 | 0.1680 | 1.0037 | 1.0019 |
| No log | 3.5072 | 242 | 0.9166 | 0.1667 | 0.9166 | 0.9574 |
| No log | 3.5362 | 244 | 0.7357 | 0.2332 | 0.7357 | 0.8577 |
| No log | 3.5652 | 246 | 0.6271 | 0.2195 | 0.6271 | 0.7919 |
| No log | 3.5942 | 248 | 0.6248 | 0.2381 | 0.6248 | 0.7905 |
| No log | 3.6232 | 250 | 0.6935 | 0.2174 | 0.6935 | 0.8328 |
| No log | 3.6522 | 252 | 0.9335 | 0.2263 | 0.9335 | 0.9662 |
| No log | 3.6812 | 254 | 1.1392 | 0.1655 | 1.1392 | 1.0674 |
| No log | 3.7101 | 256 | 0.9458 | 0.1931 | 0.9458 | 0.9725 |
| No log | 3.7391 | 258 | 0.7244 | 0.1543 | 0.7244 | 0.8511 |
| No log | 3.7681 | 260 | 0.7407 | 0.1111 | 0.7407 | 0.8607 |
| No log | 3.7971 | 262 | 0.9166 | 0.1930 | 0.9166 | 0.9574 |
| No log | 3.8261 | 264 | 1.2429 | 0.1153 | 1.2429 | 1.1149 |
| No log | 3.8551 | 266 | 1.1956 | 0.1634 | 1.1956 | 1.0935 |
| No log | 3.8841 | 268 | 0.9546 | 0.1169 | 0.9546 | 0.9770 |
| No log | 3.9130 | 270 | 0.8044 | 0.0833 | 0.8044 | 0.8969 |
| No log | 3.9420 | 272 | 0.7960 | 0.0939 | 0.7960 | 0.8922 |
| No log | 3.9710 | 274 | 0.9195 | 0.1504 | 0.9195 | 0.9589 |
| No log | 4.0 | 276 | 0.9154 | 0.1515 | 0.9154 | 0.9568 |
| No log | 4.0290 | 278 | 0.9061 | 0.1570 | 0.9061 | 0.9519 |
| No log | 4.0580 | 280 | 0.9597 | 0.0968 | 0.9597 | 0.9797 |
| No log | 4.0870 | 282 | 1.0288 | 0.1045 | 1.0288 | 1.0143 |
| No log | 4.1159 | 284 | 1.0312 | 0.1628 | 1.0312 | 1.0155 |
| No log | 4.1449 | 286 | 1.2489 | 0.1125 | 1.2489 | 1.1176 |
| No log | 4.1739 | 288 | 1.2938 | 0.0886 | 1.2938 | 1.1375 |
| No log | 4.2029 | 290 | 0.9628 | 0.1130 | 0.9628 | 0.9812 |
| No log | 4.2319 | 292 | 0.7517 | 0.0968 | 0.7517 | 0.8670 |
| No log | 4.2609 | 294 | 0.7229 | 0.1381 | 0.7229 | 0.8503 |
| No log | 4.2899 | 296 | 0.8250 | 0.1373 | 0.8250 | 0.9083 |
| No log | 4.3188 | 298 | 1.1162 | 0.1418 | 1.1162 | 1.0565 |
| No log | 4.3478 | 300 | 1.1936 | 0.0933 | 1.1936 | 1.0925 |
| No log | 4.3768 | 302 | 0.9968 | 0.1660 | 0.9968 | 0.9984 |
| No log | 4.4058 | 304 | 0.7350 | 0.1381 | 0.7350 | 0.8573 |
| No log | 4.4348 | 306 | 0.6254 | 0.1807 | 0.6254 | 0.7908 |
| No log | 4.4638 | 308 | 0.6208 | 0.1818 | 0.6208 | 0.7879 |
| No log | 4.4928 | 310 | 0.7243 | 0.1913 | 0.7243 | 0.8511 |
| No log | 4.5217 | 312 | 1.0795 | 0.1304 | 1.0795 | 1.0390 |
| No log | 4.5507 | 314 | 1.0646 | 0.1000 | 1.0646 | 1.0318 |
| No log | 4.5797 | 316 | 0.7714 | 0.2323 | 0.7714 | 0.8783 |
| No log | 4.6087 | 318 | 0.6734 | 0.1905 | 0.6734 | 0.8206 |
| No log | 4.6377 | 320 | 0.6869 | 0.1908 | 0.6869 | 0.8288 |
| No log | 4.6667 | 322 | 0.8324 | 0.2000 | 0.8324 | 0.9124 |
| No log | 4.6957 | 324 | 1.0547 | 0.0720 | 1.0547 | 1.0270 |
| No log | 4.7246 | 326 | 1.0067 | 0.1319 | 1.0067 | 1.0033 |
| No log | 4.7536 | 328 | 0.7678 | 0.1921 | 0.7678 | 0.8762 |
| No log | 4.7826 | 330 | 0.6926 | 0.2184 | 0.6926 | 0.8322 |
| No log | 4.8116 | 332 | 0.7545 | 0.1429 | 0.7545 | 0.8686 |
| No log | 4.8406 | 334 | 1.0046 | 0.1373 | 1.0046 | 1.0023 |
| No log | 4.8696 | 336 | 1.3747 | 0.0976 | 1.3747 | 1.1725 |
| No log | 4.8986 | 338 | 1.4119 | 0.0751 | 1.4119 | 1.1882 |
| No log | 4.9275 | 340 | 1.1688 | 0.0897 | 1.1688 | 1.0811 |
| No log | 4.9565 | 342 | 1.0050 | 0.1373 | 1.0050 | 1.0025 |
| No log | 4.9855 | 344 | 1.0763 | 0.0815 | 1.0763 | 1.0375 |
| No log | 5.0145 | 346 | 1.1685 | 0.0897 | 1.1685 | 1.0810 |
| No log | 5.0435 | 348 | 1.0172 | 0.1373 | 1.0172 | 1.0086 |
| No log | 5.0725 | 350 | 0.9848 | 0.1373 | 0.9848 | 0.9923 |
| No log | 5.1014 | 352 | 0.9065 | 0.1667 | 0.9065 | 0.9521 |
| No log | 5.1304 | 354 | 0.7420 | 0.1568 | 0.7420 | 0.8614 |
| No log | 5.1594 | 356 | 0.6940 | 0.1529 | 0.6940 | 0.8330 |
| No log | 5.1884 | 358 | 0.7523 | 0.2000 | 0.7523 | 0.8674 |
| No log | 5.2174 | 360 | 0.7109 | 0.1543 | 0.7109 | 0.8431 |
| No log | 5.2464 | 362 | 0.6846 | 0.1529 | 0.6846 | 0.8274 |
| No log | 5.2754 | 364 | 0.7377 | 0.2000 | 0.7377 | 0.8589 |
| No log | 5.3043 | 366 | 0.9831 | 0.1373 | 0.9831 | 0.9915 |
| No log | 5.3333 | 368 | 1.1907 | 0.0872 | 1.1907 | 1.0912 |
| No log | 5.3623 | 370 | 1.0814 | 0.1648 | 1.0814 | 1.0399 |
| No log | 5.3913 | 372 | 0.8056 | 0.2000 | 0.8056 | 0.8976 |
| No log | 5.4203 | 374 | 0.6360 | 0.2189 | 0.6360 | 0.7975 |
| No log | 5.4493 | 376 | 0.6028 | 0.2370 | 0.6028 | 0.7764 |
| No log | 5.4783 | 378 | 0.6313 | 0.1807 | 0.6313 | 0.7946 |
| No log | 5.5072 | 380 | 0.7756 | 0.2000 | 0.7756 | 0.8807 |
| No log | 5.5362 | 382 | 0.9110 | 0.2348 | 0.9110 | 0.9545 |
| No log | 5.5652 | 384 | 0.8497 | 0.2381 | 0.8497 | 0.9218 |
| No log | 5.5942 | 386 | 0.7023 | 0.1913 | 0.7023 | 0.8380 |
| No log | 5.6232 | 388 | 0.6148 | 0.1807 | 0.6148 | 0.7841 |
| No log | 5.6522 | 390 | 0.5922 | 0.2393 | 0.5922 | 0.7696 |
| No log | 5.6812 | 392 | 0.6076 | 0.1905 | 0.6076 | 0.7795 |
| No log | 5.7101 | 394 | 0.7286 | 0.1915 | 0.7286 | 0.8536 |
| No log | 5.7391 | 396 | 0.8339 | 0.2372 | 0.8339 | 0.9132 |
| No log | 5.7681 | 398 | 0.9224 | 0.2348 | 0.9224 | 0.9604 |
| No log | 5.7971 | 400 | 0.8390 | 0.2381 | 0.8390 | 0.9159 |
| No log | 5.8261 | 402 | 0.8219 | 0.2300 | 0.8219 | 0.9066 |
| No log | 5.8551 | 404 | 0.8175 | 0.2300 | 0.8175 | 0.9041 |
| No log | 5.8841 | 406 | 0.8971 | 0.2000 | 0.8971 | 0.9471 |
| No log | 5.9130 | 408 | 0.9761 | 0.1059 | 0.9761 | 0.9880 |
| No log | 5.9420 | 410 | 0.8789 | 0.2711 | 0.8789 | 0.9375 |
| No log | 5.9710 | 412 | 0.7685 | 0.1919 | 0.7685 | 0.8766 |
| No log | 6.0 | 414 | 0.7273 | 0.1915 | 0.7273 | 0.8528 |
| No log | 6.0290 | 416 | 0.7529 | 0.2000 | 0.7529 | 0.8677 |
| No log | 6.0580 | 418 | 0.8819 | 0.2372 | 0.8819 | 0.9391 |
| No log | 6.0870 | 420 | 1.1069 | 0.0877 | 1.1069 | 1.0521 |
| No log | 6.1159 | 422 | 1.1932 | 0.0710 | 1.1932 | 1.0923 |
| No log | 6.1449 | 424 | 1.0939 | 0.1111 | 1.0939 | 1.0459 |
| No log | 6.1739 | 426 | 0.8953 | 0.2372 | 0.8953 | 0.9462 |
| No log | 6.2029 | 428 | 0.7238 | 0.1475 | 0.7238 | 0.8508 |
| No log | 6.2319 | 430 | 0.6641 | 0.1617 | 0.6641 | 0.8149 |
| No log | 6.2609 | 432 | 0.6681 | 0.1445 | 0.6681 | 0.8174 |
| No log | 6.2899 | 434 | 0.7071 | 0.2000 | 0.7071 | 0.8409 |
| No log | 6.3188 | 436 | 0.8424 | 0.2294 | 0.8424 | 0.9178 |
| No log | 6.3478 | 438 | 1.0432 | 0.1040 | 1.0432 | 1.0214 |
| No log | 6.3768 | 440 | 1.1396 | 0.0792 | 1.1396 | 1.0675 |
| No log | 6.4058 | 442 | 1.1189 | 0.0792 | 1.1189 | 1.0578 |
| No log | 6.4348 | 444 | 1.0264 | 0.1040 | 1.0264 | 1.0131 |
| No log | 6.4638 | 446 | 0.8955 | 0.1931 | 0.8955 | 0.9463 |
| No log | 6.4928 | 448 | 0.7411 | 0.1414 | 0.7411 | 0.8609 |
| No log | 6.5217 | 450 | 0.7000 | 0.1648 | 0.7000 | 0.8367 |
| No log | 6.5507 | 452 | 0.7225 | 0.1398 | 0.7225 | 0.8500 |
| No log | 6.5797 | 454 | 0.7946 | 0.2315 | 0.7946 | 0.8914 |
| No log | 6.6087 | 456 | 0.8078 | 0.2308 | 0.8078 | 0.8988 |
| No log | 6.6377 | 458 | 0.8815 | 0.2000 | 0.8815 | 0.9389 |
| No log | 6.6667 | 460 | 0.9514 | 0.1667 | 0.9514 | 0.9754 |
| No log | 6.6957 | 462 | 0.9098 | 0.1667 | 0.9098 | 0.9538 |
| No log | 6.7246 | 464 | 0.8033 | 0.2308 | 0.8033 | 0.8963 |
| No log | 6.7536 | 466 | 0.7081 | 0.1915 | 0.7081 | 0.8415 |
| No log | 6.7826 | 468 | 0.6819 | 0.1658 | 0.6819 | 0.8258 |
| No log | 6.8116 | 470 | 0.7176 | 0.1917 | 0.7176 | 0.8471 |
| No log | 6.8406 | 472 | 0.7600 | 0.2315 | 0.7600 | 0.8718 |
| No log | 6.8696 | 474 | 0.7602 | 0.2315 | 0.7602 | 0.8719 |
| No log | 6.8986 | 476 | 0.7730 | 0.2308 | 0.7730 | 0.8792 |
| No log | 6.9275 | 478 | 0.8092 | 0.2390 | 0.8092 | 0.8996 |
| No log | 6.9565 | 480 | 0.7457 | 0.2323 | 0.7457 | 0.8635 |
| No log | 6.9855 | 482 | 0.6482 | 0.1813 | 0.6482 | 0.8051 |
| No log | 7.0145 | 484 | 0.6027 | 0.1905 | 0.6027 | 0.7763 |
| No log | 7.0435 | 486 | 0.6039 | 0.2593 | 0.6039 | 0.7771 |
| No log | 7.0725 | 488 | 0.6581 | 0.1818 | 0.6581 | 0.8112 |
| No log | 7.1014 | 490 | 0.7974 | 0.2390 | 0.7974 | 0.8930 |
| No log | 7.1304 | 492 | 0.9189 | 0.1644 | 0.9189 | 0.9586 |
| No log | 7.1594 | 494 | 0.9443 | 0.1644 | 0.9443 | 0.9718 |
| No log | 7.1884 | 496 | 0.8538 | 0.2381 | 0.8538 | 0.9240 |
| No log | 7.2174 | 498 | 0.7244 | 0.2239 | 0.7244 | 0.8511 |
| 0.4804 | 7.2464 | 500 | 0.6806 | 0.2258 | 0.6806 | 0.8250 |
| 0.4804 | 7.2754 | 502 | 0.7094 | 0.2245 | 0.7094 | 0.8423 |
| 0.4804 | 7.3043 | 504 | 0.7992 | 0.2000 | 0.7992 | 0.8940 |
| 0.4804 | 7.3333 | 506 | 0.9343 | 0.1304 | 0.9343 | 0.9666 |
| 0.4804 | 7.3623 | 508 | 0.9508 | 0.1304 | 0.9508 | 0.9751 |
| 0.4804 | 7.3913 | 510 | 0.8573 | 0.2381 | 0.8573 | 0.9259 |
| 0.4804 | 7.4203 | 512 | 0.7553 | 0.1919 | 0.7553 | 0.8691 |
| 0.4804 | 7.4493 | 514 | 0.7047 | 0.2245 | 0.7047 | 0.8394 |
| 0.4804 | 7.4783 | 516 | 0.6976 | 0.2251 | 0.6976 | 0.8352 |
| 0.4804 | 7.5072 | 518 | 0.7620 | 0.1919 | 0.7620 | 0.8729 |
| 0.4804 | 7.5362 | 520 | 0.9008 | 0.1636 | 0.9008 | 0.9491 |
| 0.4804 | 7.5652 | 522 | 1.0707 | 0.1059 | 1.0707 | 1.0347 |
| 0.4804 | 7.5942 | 524 | 1.1077 | 0.0491 | 1.1077 | 1.0525 |
| 0.4804 | 7.6232 | 526 | 1.0214 | 0.1347 | 1.0214 | 1.0106 |
| 0.4804 | 7.6522 | 528 | 0.8713 | 0.2381 | 0.8713 | 0.9335 |
| 0.4804 | 7.6812 | 530 | 0.7493 | 0.1919 | 0.7493 | 0.8656 |
| 0.4804 | 7.7101 | 532 | 0.7196 | 0.1832 | 0.7196 | 0.8483 |
| 0.4804 | 7.7391 | 534 | 0.7522 | 0.1841 | 0.7522 | 0.8673 |
| 0.4804 | 7.7681 | 536 | 0.8269 | 0.2300 | 0.8269 | 0.9093 |
| 0.4804 | 7.7971 | 538 | 0.9092 | 0.1560 | 0.9092 | 0.9535 |
| 0.4804 | 7.8261 | 540 | 0.9357 | 0.1644 | 0.9357 | 0.9673 |
| 0.4804 | 7.8551 | 542 | 0.9005 | 0.1628 | 0.9005 | 0.9490 |
| 0.4804 | 7.8841 | 544 | 0.8514 | 0.2381 | 0.8514 | 0.9227 |
| 0.4804 | 7.9130 | 546 | 0.8425 | 0.2381 | 0.8425 | 0.9179 |
| 0.4804 | 7.9420 | 548 | 0.8602 | 0.2381 | 0.8602 | 0.9275 |
| 0.4804 | 7.9710 | 550 | 0.9051 | 0.1628 | 0.9051 | 0.9514 |
| 0.4804 | 8.0 | 552 | 0.8861 | 0.2381 | 0.8861 | 0.9413 |
| 0.4804 | 8.0290 | 554 | 0.8269 | 0.2000 | 0.8269 | 0.9093 |
| 0.4804 | 8.0580 | 556 | 0.7862 | 0.1923 | 0.7862 | 0.8867 |
| 0.4804 | 8.0870 | 558 | 0.7398 | 0.1917 | 0.7398 | 0.8601 |
| 0.4804 | 8.1159 | 560 | 0.7470 | 0.1837 | 0.7470 | 0.8643 |
| 0.4804 | 8.1449 | 562 | 0.7907 | 0.1923 | 0.7907 | 0.8892 |
| 0.4804 | 8.1739 | 564 | 0.8168 | 0.1923 | 0.8168 | 0.9038 |
| 0.4804 | 8.2029 | 566 | 0.8520 | 0.2381 | 0.8520 | 0.9230 |
| 0.4804 | 8.2319 | 568 | 0.8645 | 0.2381 | 0.8645 | 0.9298 |
| 0.4804 | 8.2609 | 570 | 0.8684 | 0.2381 | 0.8684 | 0.9319 |
| 0.4804 | 8.2899 | 572 | 0.8920 | 0.1636 | 0.8920 | 0.9445 |
| 0.4804 | 8.3188 | 574 | 0.8900 | 0.1636 | 0.8900 | 0.9434 |
| 0.4804 | 8.3478 | 576 | 0.8768 | 0.1636 | 0.8768 | 0.9364 |
| 0.4804 | 8.3768 | 578 | 0.8202 | 0.2381 | 0.8202 | 0.9056 |
| 0.4804 | 8.4058 | 580 | 0.7525 | 0.1919 | 0.7525 | 0.8675 |
| 0.4804 | 8.4348 | 582 | 0.7120 | 0.1837 | 0.7120 | 0.8438 |
| 0.4804 | 8.4638 | 584 | 0.7013 | 0.1837 | 0.7013 | 0.8375 |
| 0.4804 | 8.4928 | 586 | 0.6991 | 0.1832 | 0.6991 | 0.8361 |
| 0.4804 | 8.5217 | 588 | 0.7331 | 0.1919 | 0.7331 | 0.8562 |
| 0.4804 | 8.5507 | 590 | 0.7569 | 0.1919 | 0.7569 | 0.8700 |
| 0.4804 | 8.5797 | 592 | 0.7906 | 0.2000 | 0.7906 | 0.8891 |
| 0.4804 | 8.6087 | 594 | 0.8141 | 0.2381 | 0.8141 | 0.9023 |
| 0.4804 | 8.6377 | 596 | 0.8544 | 0.1628 | 0.8544 | 0.9243 |
| 0.4804 | 8.6667 | 598 | 0.9011 | 0.1628 | 0.9011 | 0.9493 |
| 0.4804 | 8.6957 | 600 | 0.9192 | 0.1644 | 0.9192 | 0.9587 |
| 0.4804 | 8.7246 | 602 | 0.9165 | 0.1570 | 0.9165 | 0.9573 |
| 0.4804 | 8.7536 | 604 | 0.9265 | 0.1570 | 0.9265 | 0.9626 |
| 0.4804 | 8.7826 | 606 | 0.9056 | 0.1560 | 0.9056 | 0.9516 |
| 0.4804 | 8.8116 | 608 | 0.8789 | 0.1560 | 0.8789 | 0.9375 |
| 0.4804 | 8.8406 | 610 | 0.8475 | 0.1560 | 0.8475 | 0.9206 |
| 0.4804 | 8.8696 | 612 | 0.8262 | 0.2300 | 0.8262 | 0.9090 |
| 0.4804 | 8.8986 | 614 | 0.8173 | 0.2300 | 0.8173 | 0.9041 |
| 0.4804 | 8.9275 | 616 | 0.8328 | 0.2300 | 0.8328 | 0.9126 |
| 0.4804 | 8.9565 | 618 | 0.8509 | 0.1628 | 0.8509 | 0.9225 |
| 0.4804 | 8.9855 | 620 | 0.8559 | 0.1628 | 0.8559 | 0.9252 |
| 0.4804 | 9.0145 | 622 | 0.8444 | 0.2381 | 0.8444 | 0.9189 |
| 0.4804 | 9.0435 | 624 | 0.8204 | 0.2300 | 0.8204 | 0.9058 |
| 0.4804 | 9.0725 | 626 | 0.8025 | 0.1923 | 0.8025 | 0.8958 |
| 0.4804 | 9.1014 | 628 | 0.7825 | 0.1923 | 0.7825 | 0.8846 |
| 0.4804 | 9.1304 | 630 | 0.7625 | 0.1919 | 0.7625 | 0.8732 |
| 0.4804 | 9.1594 | 632 | 0.7414 | 0.1917 | 0.7414 | 0.8610 |
| 0.4804 | 9.1884 | 634 | 0.7247 | 0.1837 | 0.7247 | 0.8513 |
| 0.4804 | 9.2174 | 636 | 0.7212 | 0.1837 | 0.7212 | 0.8492 |
| 0.4804 | 9.2464 | 638 | 0.7249 | 0.1837 | 0.7249 | 0.8514 |
| 0.4804 | 9.2754 | 640 | 0.7436 | 0.1917 | 0.7436 | 0.8623 |
| 0.4804 | 9.3043 | 642 | 0.7717 | 0.1919 | 0.7717 | 0.8785 |
| 0.4804 | 9.3333 | 644 | 0.7975 | 0.1923 | 0.7975 | 0.8930 |
| 0.4804 | 9.3623 | 646 | 0.8233 | 0.2000 | 0.8233 | 0.9074 |
| 0.4804 | 9.3913 | 648 | 0.8617 | 0.1628 | 0.8617 | 0.9283 |
| 0.4804 | 9.4203 | 650 | 0.9004 | 0.1628 | 0.9004 | 0.9489 |
| 0.4804 | 9.4493 | 652 | 0.9246 | 0.1636 | 0.9246 | 0.9616 |
| 0.4804 | 9.4783 | 654 | 0.9394 | 0.1636 | 0.9394 | 0.9692 |
| 0.4804 | 9.5072 | 656 | 0.9411 | 0.1636 | 0.9411 | 0.9701 |
| 0.4804 | 9.5362 | 658 | 0.9381 | 0.1636 | 0.9381 | 0.9686 |
| 0.4804 | 9.5652 | 660 | 0.9280 | 0.1636 | 0.9280 | 0.9633 |
| 0.4804 | 9.5942 | 662 | 0.9145 | 0.1636 | 0.9145 | 0.9563 |
| 0.4804 | 9.6232 | 664 | 0.9017 | 0.1628 | 0.9017 | 0.9496 |
| 0.4804 | 9.6522 | 666 | 0.8923 | 0.1628 | 0.8923 | 0.9446 |
| 0.4804 | 9.6812 | 668 | 0.8764 | 0.1628 | 0.8764 | 0.9362 |
| 0.4804 | 9.7101 | 670 | 0.8673 | 0.1628 | 0.8673 | 0.9313 |
| 0.4804 | 9.7391 | 672 | 0.8567 | 0.1628 | 0.8567 | 0.9256 |
| 0.4804 | 9.7681 | 674 | 0.8499 | 0.1628 | 0.8499 | 0.9219 |
| 0.4804 | 9.7971 | 676 | 0.8412 | 0.1238 | 0.8412 | 0.9172 |
| 0.4804 | 9.8261 | 678 | 0.8320 | 0.1238 | 0.8320 | 0.9122 |
| 0.4804 | 9.8551 | 680 | 0.8295 | 0.1238 | 0.8295 | 0.9108 |
| 0.4804 | 9.8841 | 682 | 0.8282 | 0.1238 | 0.8282 | 0.9101 |
| 0.4804 | 9.9130 | 684 | 0.8261 | 0.2000 | 0.8261 | 0.9089 |
| 0.4804 | 9.9420 | 686 | 0.8256 | 0.2000 | 0.8256 | 0.9086 |
| 0.4804 | 9.9710 | 688 | 0.8254 | 0.2000 | 0.8254 | 0.9085 |
| 0.4804 | 10.0 | 690 | 0.8260 | 0.2000 | 0.8260 | 0.9088 |
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/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k16_task3_organization
Base model
aubmindlab/bert-base-arabertv02