Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k14_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k14_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k14_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k14_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k14_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k14_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: 0.9407
- Qwk: 0.5869
- Mse: 0.9407
- Rmse: 0.9699
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 | 0.0290 | 2 | 5.3897 | -0.0197 | 5.3897 | 2.3216 |
| No log | 0.0580 | 4 | 3.2689 | 0.0693 | 3.2689 | 1.8080 |
| No log | 0.0870 | 6 | 2.7029 | -0.1346 | 2.7029 | 1.6441 |
| No log | 0.1159 | 8 | 2.0865 | -0.0059 | 2.0865 | 1.4445 |
| No log | 0.1449 | 10 | 1.3940 | 0.0273 | 1.3940 | 1.1807 |
| No log | 0.1739 | 12 | 1.2692 | 0.1249 | 1.2692 | 1.1266 |
| No log | 0.2029 | 14 | 1.3148 | 0.1648 | 1.3148 | 1.1466 |
| No log | 0.2319 | 16 | 1.4236 | 0.2094 | 1.4236 | 1.1931 |
| No log | 0.2609 | 18 | 1.4710 | 0.2010 | 1.4710 | 1.2129 |
| No log | 0.2899 | 20 | 1.1927 | 0.3235 | 1.1927 | 1.0921 |
| No log | 0.3188 | 22 | 1.1649 | 0.2909 | 1.1649 | 1.0793 |
| No log | 0.3478 | 24 | 1.1486 | 0.3082 | 1.1486 | 1.0717 |
| No log | 0.3768 | 26 | 1.1166 | 0.3547 | 1.1166 | 1.0567 |
| No log | 0.4058 | 28 | 1.3291 | 0.2273 | 1.3291 | 1.1529 |
| No log | 0.4348 | 30 | 1.6126 | 0.2274 | 1.6126 | 1.2699 |
| No log | 0.4638 | 32 | 1.3261 | 0.25 | 1.3261 | 1.1516 |
| No log | 0.4928 | 34 | 1.1527 | 0.3612 | 1.1527 | 1.0736 |
| No log | 0.5217 | 36 | 1.0706 | 0.3350 | 1.0706 | 1.0347 |
| No log | 0.5507 | 38 | 1.0923 | 0.3434 | 1.0923 | 1.0451 |
| No log | 0.5797 | 40 | 1.1224 | 0.3274 | 1.1224 | 1.0594 |
| No log | 0.6087 | 42 | 1.2015 | 0.2961 | 1.2015 | 1.0961 |
| No log | 0.6377 | 44 | 1.2690 | 0.2138 | 1.2690 | 1.1265 |
| No log | 0.6667 | 46 | 1.2777 | 0.1634 | 1.2777 | 1.1303 |
| No log | 0.6957 | 48 | 1.3030 | 0.2333 | 1.3030 | 1.1415 |
| No log | 0.7246 | 50 | 1.4040 | 0.3028 | 1.4040 | 1.1849 |
| No log | 0.7536 | 52 | 1.5002 | 0.3075 | 1.5002 | 1.2248 |
| No log | 0.7826 | 54 | 1.1711 | 0.4418 | 1.1711 | 1.0822 |
| No log | 0.8116 | 56 | 1.0051 | 0.4524 | 1.0051 | 1.0025 |
| No log | 0.8406 | 58 | 1.0129 | 0.4430 | 1.0129 | 1.0064 |
| No log | 0.8696 | 60 | 1.2090 | 0.3761 | 1.2090 | 1.0995 |
| No log | 0.8986 | 62 | 1.6537 | 0.2591 | 1.6537 | 1.2860 |
| No log | 0.9275 | 64 | 1.5260 | 0.3225 | 1.5260 | 1.2353 |
| No log | 0.9565 | 66 | 1.0758 | 0.4275 | 1.0758 | 1.0372 |
| No log | 0.9855 | 68 | 0.9834 | 0.4078 | 0.9834 | 0.9917 |
| No log | 1.0145 | 70 | 1.1505 | 0.2831 | 1.1505 | 1.0726 |
| No log | 1.0435 | 72 | 1.2650 | 0.1695 | 1.2650 | 1.1247 |
| No log | 1.0725 | 74 | 1.3534 | 0.1388 | 1.3534 | 1.1634 |
| No log | 1.1014 | 76 | 1.2704 | 0.1872 | 1.2704 | 1.1271 |
| No log | 1.1304 | 78 | 1.1321 | 0.4277 | 1.1321 | 1.0640 |
| No log | 1.1594 | 80 | 1.1752 | 0.4431 | 1.1752 | 1.0841 |
| No log | 1.1884 | 82 | 1.2536 | 0.2535 | 1.2536 | 1.1196 |
| No log | 1.2174 | 84 | 1.3946 | 0.2514 | 1.3946 | 1.1809 |
| No log | 1.2464 | 86 | 1.5697 | 0.1803 | 1.5697 | 1.2529 |
| No log | 1.2754 | 88 | 1.5746 | 0.1813 | 1.5746 | 1.2548 |
| No log | 1.3043 | 90 | 1.3649 | 0.2307 | 1.3649 | 1.1683 |
| No log | 1.3333 | 92 | 1.0970 | 0.3904 | 1.0970 | 1.0474 |
| No log | 1.3623 | 94 | 0.9728 | 0.3836 | 0.9728 | 0.9863 |
| No log | 1.3913 | 96 | 1.0247 | 0.3893 | 1.0247 | 1.0123 |
| No log | 1.4203 | 98 | 0.9786 | 0.4038 | 0.9786 | 0.9892 |
| No log | 1.4493 | 100 | 0.9136 | 0.4609 | 0.9136 | 0.9558 |
| No log | 1.4783 | 102 | 0.8999 | 0.5235 | 0.8999 | 0.9486 |
| No log | 1.5072 | 104 | 0.9550 | 0.5100 | 0.9550 | 0.9772 |
| No log | 1.5362 | 106 | 0.9088 | 0.5685 | 0.9088 | 0.9533 |
| No log | 1.5652 | 108 | 0.9005 | 0.6054 | 0.9005 | 0.9489 |
| No log | 1.5942 | 110 | 0.9503 | 0.5208 | 0.9503 | 0.9748 |
| No log | 1.6232 | 112 | 0.8546 | 0.5909 | 0.8546 | 0.9244 |
| No log | 1.6522 | 114 | 0.8090 | 0.5582 | 0.8090 | 0.8995 |
| No log | 1.6812 | 116 | 0.8071 | 0.5730 | 0.8071 | 0.8984 |
| No log | 1.7101 | 118 | 0.8865 | 0.5625 | 0.8865 | 0.9416 |
| No log | 1.7391 | 120 | 1.1159 | 0.5480 | 1.1159 | 1.0564 |
| No log | 1.7681 | 122 | 1.0040 | 0.6101 | 1.0040 | 1.0020 |
| No log | 1.7971 | 124 | 0.9158 | 0.5545 | 0.9158 | 0.9570 |
| No log | 1.8261 | 126 | 1.0668 | 0.5305 | 1.0668 | 1.0329 |
| No log | 1.8551 | 128 | 1.0109 | 0.5372 | 1.0109 | 1.0055 |
| No log | 1.8841 | 130 | 0.9055 | 0.5609 | 0.9055 | 0.9516 |
| No log | 1.9130 | 132 | 0.9335 | 0.5417 | 0.9335 | 0.9662 |
| No log | 1.9420 | 134 | 0.9665 | 0.5211 | 0.9665 | 0.9831 |
| No log | 1.9710 | 136 | 0.9542 | 0.5063 | 0.9542 | 0.9768 |
| No log | 2.0 | 138 | 0.8867 | 0.5433 | 0.8867 | 0.9417 |
| No log | 2.0290 | 140 | 0.9331 | 0.5196 | 0.9331 | 0.9659 |
| No log | 2.0580 | 142 | 1.0419 | 0.5517 | 1.0419 | 1.0207 |
| No log | 2.0870 | 144 | 0.9169 | 0.5414 | 0.9169 | 0.9576 |
| No log | 2.1159 | 146 | 0.8344 | 0.5658 | 0.8344 | 0.9135 |
| No log | 2.1449 | 148 | 0.8640 | 0.5803 | 0.8640 | 0.9295 |
| No log | 2.1739 | 150 | 0.8311 | 0.5960 | 0.8311 | 0.9117 |
| No log | 2.2029 | 152 | 0.9341 | 0.5776 | 0.9341 | 0.9665 |
| No log | 2.2319 | 154 | 0.9671 | 0.5629 | 0.9671 | 0.9834 |
| No log | 2.2609 | 156 | 1.2247 | 0.4594 | 1.2247 | 1.1067 |
| No log | 2.2899 | 158 | 1.2602 | 0.4590 | 1.2602 | 1.1226 |
| No log | 2.3188 | 160 | 1.0368 | 0.5610 | 1.0368 | 1.0183 |
| No log | 2.3478 | 162 | 0.8309 | 0.6056 | 0.8309 | 0.9115 |
| No log | 2.3768 | 164 | 0.8513 | 0.6016 | 0.8513 | 0.9226 |
| No log | 2.4058 | 166 | 1.0286 | 0.5374 | 1.0286 | 1.0142 |
| No log | 2.4348 | 168 | 1.0425 | 0.5330 | 1.0425 | 1.0210 |
| No log | 2.4638 | 170 | 0.8381 | 0.6119 | 0.8381 | 0.9155 |
| No log | 2.4928 | 172 | 0.7639 | 0.6356 | 0.7639 | 0.8740 |
| No log | 2.5217 | 174 | 0.8762 | 0.5817 | 0.8762 | 0.9361 |
| No log | 2.5507 | 176 | 0.8081 | 0.5908 | 0.8081 | 0.8989 |
| No log | 2.5797 | 178 | 0.8786 | 0.5446 | 0.8786 | 0.9373 |
| No log | 2.6087 | 180 | 0.9622 | 0.5319 | 0.9622 | 0.9809 |
| No log | 2.6377 | 182 | 0.9486 | 0.4945 | 0.9486 | 0.9740 |
| No log | 2.6667 | 184 | 0.9647 | 0.5142 | 0.9647 | 0.9822 |
| No log | 2.6957 | 186 | 0.9228 | 0.5026 | 0.9228 | 0.9606 |
| No log | 2.7246 | 188 | 0.9145 | 0.5391 | 0.9145 | 0.9563 |
| No log | 2.7536 | 190 | 0.8520 | 0.5575 | 0.8520 | 0.9231 |
| No log | 2.7826 | 192 | 0.9554 | 0.5595 | 0.9554 | 0.9775 |
| No log | 2.8116 | 194 | 1.1632 | 0.4813 | 1.1632 | 1.0785 |
| No log | 2.8406 | 196 | 1.1621 | 0.4543 | 1.1621 | 1.0780 |
| No log | 2.8696 | 198 | 0.9487 | 0.5657 | 0.9487 | 0.9740 |
| No log | 2.8986 | 200 | 0.7213 | 0.6474 | 0.7213 | 0.8493 |
| No log | 2.9275 | 202 | 0.6903 | 0.6296 | 0.6903 | 0.8309 |
| No log | 2.9565 | 204 | 0.7007 | 0.6521 | 0.7007 | 0.8371 |
| No log | 2.9855 | 206 | 0.9143 | 0.5691 | 0.9143 | 0.9562 |
| No log | 3.0145 | 208 | 1.1158 | 0.5595 | 1.1158 | 1.0563 |
| No log | 3.0435 | 210 | 1.1377 | 0.5421 | 1.1377 | 1.0666 |
| No log | 3.0725 | 212 | 1.0658 | 0.5563 | 1.0658 | 1.0324 |
| No log | 3.1014 | 214 | 1.1292 | 0.5310 | 1.1292 | 1.0626 |
| No log | 3.1304 | 216 | 1.1273 | 0.5357 | 1.1273 | 1.0617 |
| No log | 3.1594 | 218 | 1.2035 | 0.5254 | 1.2035 | 1.0970 |
| No log | 3.1884 | 220 | 1.1472 | 0.5201 | 1.1472 | 1.0711 |
| No log | 3.2174 | 222 | 1.1479 | 0.5105 | 1.1479 | 1.0714 |
| No log | 3.2464 | 224 | 0.9153 | 0.5639 | 0.9153 | 0.9567 |
| No log | 3.2754 | 226 | 0.8293 | 0.5997 | 0.8293 | 0.9107 |
| No log | 3.3043 | 228 | 0.7732 | 0.5792 | 0.7732 | 0.8793 |
| No log | 3.3333 | 230 | 0.7705 | 0.6072 | 0.7705 | 0.8778 |
| No log | 3.3623 | 232 | 0.8388 | 0.5856 | 0.8388 | 0.9158 |
| No log | 3.3913 | 234 | 0.9902 | 0.5643 | 0.9902 | 0.9951 |
| No log | 3.4203 | 236 | 0.9641 | 0.5569 | 0.9641 | 0.9819 |
| No log | 3.4493 | 238 | 0.8608 | 0.5774 | 0.8608 | 0.9278 |
| No log | 3.4783 | 240 | 0.7828 | 0.6373 | 0.7828 | 0.8848 |
| No log | 3.5072 | 242 | 0.8107 | 0.5790 | 0.8107 | 0.9004 |
| No log | 3.5362 | 244 | 1.0058 | 0.5629 | 1.0058 | 1.0029 |
| No log | 3.5652 | 246 | 1.0290 | 0.5287 | 1.0290 | 1.0144 |
| No log | 3.5942 | 248 | 0.8488 | 0.6208 | 0.8488 | 0.9213 |
| No log | 3.6232 | 250 | 0.7422 | 0.6146 | 0.7422 | 0.8615 |
| No log | 3.6522 | 252 | 0.7426 | 0.6172 | 0.7426 | 0.8617 |
| No log | 3.6812 | 254 | 0.7940 | 0.6213 | 0.7940 | 0.8911 |
| No log | 3.7101 | 256 | 0.8495 | 0.6187 | 0.8495 | 0.9217 |
| No log | 3.7391 | 258 | 0.9161 | 0.6136 | 0.9161 | 0.9571 |
| No log | 3.7681 | 260 | 0.8123 | 0.6220 | 0.8123 | 0.9013 |
| No log | 3.7971 | 262 | 0.7366 | 0.6545 | 0.7366 | 0.8582 |
| No log | 3.8261 | 264 | 0.7790 | 0.6342 | 0.7790 | 0.8826 |
| No log | 3.8551 | 266 | 0.9043 | 0.5882 | 0.9043 | 0.9510 |
| No log | 3.8841 | 268 | 0.8326 | 0.5911 | 0.8326 | 0.9125 |
| No log | 3.9130 | 270 | 0.7962 | 0.6146 | 0.7962 | 0.8923 |
| No log | 3.9420 | 272 | 0.9010 | 0.6077 | 0.9010 | 0.9492 |
| No log | 3.9710 | 274 | 0.9863 | 0.5648 | 0.9863 | 0.9931 |
| No log | 4.0 | 276 | 0.8653 | 0.6396 | 0.8653 | 0.9302 |
| No log | 4.0290 | 278 | 0.8678 | 0.625 | 0.8678 | 0.9315 |
| No log | 4.0580 | 280 | 0.8987 | 0.6063 | 0.8987 | 0.9480 |
| No log | 4.0870 | 282 | 0.9275 | 0.5514 | 0.9275 | 0.9631 |
| No log | 4.1159 | 284 | 0.9363 | 0.5543 | 0.9363 | 0.9676 |
| No log | 4.1449 | 286 | 0.9743 | 0.5412 | 0.9743 | 0.9871 |
| No log | 4.1739 | 288 | 0.9748 | 0.5602 | 0.9748 | 0.9873 |
| No log | 4.2029 | 290 | 0.8921 | 0.5971 | 0.8921 | 0.9445 |
| No log | 4.2319 | 292 | 0.7317 | 0.6301 | 0.7317 | 0.8554 |
| No log | 4.2609 | 294 | 0.7109 | 0.6428 | 0.7109 | 0.8431 |
| No log | 4.2899 | 296 | 0.7186 | 0.6251 | 0.7186 | 0.8477 |
| No log | 4.3188 | 298 | 0.8221 | 0.6198 | 0.8221 | 0.9067 |
| No log | 4.3478 | 300 | 1.0608 | 0.5515 | 1.0608 | 1.0299 |
| No log | 4.3768 | 302 | 1.1725 | 0.4667 | 1.1725 | 1.0828 |
| No log | 4.4058 | 304 | 1.1252 | 0.5188 | 1.1252 | 1.0607 |
| No log | 4.4348 | 306 | 1.0180 | 0.5649 | 1.0180 | 1.0089 |
| No log | 4.4638 | 308 | 0.9104 | 0.6178 | 0.9104 | 0.9542 |
| No log | 4.4928 | 310 | 0.8643 | 0.6311 | 0.8643 | 0.9297 |
| No log | 4.5217 | 312 | 0.9673 | 0.6018 | 0.9673 | 0.9835 |
| No log | 4.5507 | 314 | 1.0734 | 0.5396 | 1.0734 | 1.0361 |
| No log | 4.5797 | 316 | 0.9129 | 0.5815 | 0.9129 | 0.9555 |
| No log | 4.6087 | 318 | 0.8606 | 0.5646 | 0.8606 | 0.9277 |
| No log | 4.6377 | 320 | 0.9348 | 0.5510 | 0.9348 | 0.9668 |
| No log | 4.6667 | 322 | 0.9294 | 0.5731 | 0.9294 | 0.9640 |
| No log | 4.6957 | 324 | 0.8692 | 0.5865 | 0.8692 | 0.9323 |
| No log | 4.7246 | 326 | 0.8687 | 0.5823 | 0.8687 | 0.9320 |
| No log | 4.7536 | 328 | 0.9009 | 0.5643 | 0.9009 | 0.9491 |
| No log | 4.7826 | 330 | 0.8020 | 0.6317 | 0.8020 | 0.8956 |
| No log | 4.8116 | 332 | 0.8039 | 0.6452 | 0.8039 | 0.8966 |
| No log | 4.8406 | 334 | 0.7891 | 0.6666 | 0.7891 | 0.8883 |
| No log | 4.8696 | 336 | 0.8709 | 0.6349 | 0.8709 | 0.9332 |
| No log | 4.8986 | 338 | 0.9666 | 0.6243 | 0.9666 | 0.9832 |
| No log | 4.9275 | 340 | 0.8986 | 0.6347 | 0.8986 | 0.9479 |
| No log | 4.9565 | 342 | 0.7666 | 0.6619 | 0.7666 | 0.8756 |
| No log | 4.9855 | 344 | 0.8844 | 0.6349 | 0.8844 | 0.9404 |
| No log | 5.0145 | 346 | 1.0905 | 0.5641 | 1.0905 | 1.0442 |
| No log | 5.0435 | 348 | 1.1882 | 0.5272 | 1.1882 | 1.0901 |
| No log | 5.0725 | 350 | 0.9963 | 0.5538 | 0.9963 | 0.9981 |
| No log | 5.1014 | 352 | 0.7176 | 0.6481 | 0.7176 | 0.8471 |
| No log | 5.1304 | 354 | 0.6814 | 0.5854 | 0.6814 | 0.8255 |
| No log | 5.1594 | 356 | 0.6726 | 0.6047 | 0.6726 | 0.8201 |
| No log | 5.1884 | 358 | 0.6944 | 0.6694 | 0.6944 | 0.8333 |
| No log | 5.2174 | 360 | 0.9239 | 0.5958 | 0.9239 | 0.9612 |
| No log | 5.2464 | 362 | 1.2400 | 0.5076 | 1.2400 | 1.1135 |
| No log | 5.2754 | 364 | 1.2595 | 0.5023 | 1.2595 | 1.1223 |
| No log | 5.3043 | 366 | 1.1922 | 0.5401 | 1.1922 | 1.0919 |
| No log | 5.3333 | 368 | 1.0140 | 0.5560 | 1.0140 | 1.0070 |
| No log | 5.3623 | 370 | 0.8580 | 0.6058 | 0.8580 | 0.9263 |
| No log | 5.3913 | 372 | 0.8197 | 0.6289 | 0.8197 | 0.9054 |
| No log | 5.4203 | 374 | 0.8338 | 0.6178 | 0.8338 | 0.9131 |
| No log | 5.4493 | 376 | 0.9527 | 0.5918 | 0.9527 | 0.9761 |
| No log | 5.4783 | 378 | 0.9616 | 0.5918 | 0.9616 | 0.9806 |
| No log | 5.5072 | 380 | 0.8225 | 0.6555 | 0.8225 | 0.9069 |
| No log | 5.5362 | 382 | 0.7538 | 0.6796 | 0.7538 | 0.8682 |
| No log | 5.5652 | 384 | 0.7887 | 0.6657 | 0.7887 | 0.8881 |
| No log | 5.5942 | 386 | 0.8616 | 0.6298 | 0.8616 | 0.9282 |
| No log | 5.6232 | 388 | 1.0319 | 0.5617 | 1.0319 | 1.0158 |
| No log | 5.6522 | 390 | 1.1668 | 0.5262 | 1.1668 | 1.0802 |
| No log | 5.6812 | 392 | 1.1530 | 0.5002 | 1.1530 | 1.0738 |
| No log | 5.7101 | 394 | 0.9573 | 0.5839 | 0.9573 | 0.9784 |
| No log | 5.7391 | 396 | 0.7760 | 0.6675 | 0.7760 | 0.8809 |
| No log | 5.7681 | 398 | 0.7260 | 0.6768 | 0.7260 | 0.8521 |
| No log | 5.7971 | 400 | 0.7634 | 0.6726 | 0.7634 | 0.8737 |
| No log | 5.8261 | 402 | 0.9283 | 0.6071 | 0.9283 | 0.9635 |
| No log | 5.8551 | 404 | 1.1163 | 0.5228 | 1.1163 | 1.0566 |
| No log | 5.8841 | 406 | 1.1602 | 0.5228 | 1.1602 | 1.0771 |
| No log | 5.9130 | 408 | 1.0185 | 0.5731 | 1.0185 | 1.0092 |
| No log | 5.9420 | 410 | 0.8161 | 0.6539 | 0.8161 | 0.9034 |
| No log | 5.9710 | 412 | 0.7849 | 0.6558 | 0.7849 | 0.8860 |
| No log | 6.0 | 414 | 0.9291 | 0.6179 | 0.9291 | 0.9639 |
| No log | 6.0290 | 416 | 0.9851 | 0.5971 | 0.9851 | 0.9925 |
| No log | 6.0580 | 418 | 1.0223 | 0.5858 | 1.0223 | 1.0111 |
| No log | 6.0870 | 420 | 0.9870 | 0.6202 | 0.9870 | 0.9935 |
| No log | 6.1159 | 422 | 0.8078 | 0.6894 | 0.8078 | 0.8988 |
| No log | 6.1449 | 424 | 0.6877 | 0.6829 | 0.6877 | 0.8293 |
| No log | 6.1739 | 426 | 0.6861 | 0.6829 | 0.6861 | 0.8283 |
| No log | 6.2029 | 428 | 0.7904 | 0.6809 | 0.7904 | 0.8890 |
| No log | 6.2319 | 430 | 1.1070 | 0.5630 | 1.1070 | 1.0521 |
| No log | 6.2609 | 432 | 1.2896 | 0.4626 | 1.2896 | 1.1356 |
| No log | 6.2899 | 434 | 1.1415 | 0.5059 | 1.1415 | 1.0684 |
| No log | 6.3188 | 436 | 0.8918 | 0.6299 | 0.8918 | 0.9443 |
| No log | 6.3478 | 438 | 0.8075 | 0.6304 | 0.8075 | 0.8986 |
| No log | 6.3768 | 440 | 0.7966 | 0.6624 | 0.7966 | 0.8926 |
| No log | 6.4058 | 442 | 0.7672 | 0.6749 | 0.7672 | 0.8759 |
| No log | 6.4348 | 444 | 0.8686 | 0.6314 | 0.8686 | 0.9320 |
| No log | 6.4638 | 446 | 0.8906 | 0.6140 | 0.8906 | 0.9437 |
| No log | 6.4928 | 448 | 0.7976 | 0.6507 | 0.7976 | 0.8931 |
| No log | 6.5217 | 450 | 0.7426 | 0.6317 | 0.7426 | 0.8617 |
| No log | 6.5507 | 452 | 0.6841 | 0.6344 | 0.6841 | 0.8271 |
| No log | 6.5797 | 454 | 0.6810 | 0.6286 | 0.6810 | 0.8252 |
| No log | 6.6087 | 456 | 0.7294 | 0.6276 | 0.7294 | 0.8540 |
| No log | 6.6377 | 458 | 0.7867 | 0.6248 | 0.7867 | 0.8870 |
| No log | 6.6667 | 460 | 0.7745 | 0.6129 | 0.7745 | 0.8801 |
| No log | 6.6957 | 462 | 0.6670 | 0.6232 | 0.6670 | 0.8167 |
| No log | 6.7246 | 464 | 0.6233 | 0.6331 | 0.6233 | 0.7895 |
| No log | 6.7536 | 466 | 0.6400 | 0.6517 | 0.6400 | 0.8000 |
| No log | 6.7826 | 468 | 0.7753 | 0.6676 | 0.7753 | 0.8805 |
| No log | 6.8116 | 470 | 0.8599 | 0.6425 | 0.8599 | 0.9273 |
| No log | 6.8406 | 472 | 0.7926 | 0.6507 | 0.7926 | 0.8903 |
| No log | 6.8696 | 474 | 0.6596 | 0.6913 | 0.6596 | 0.8122 |
| No log | 6.8986 | 476 | 0.6139 | 0.7019 | 0.6139 | 0.7835 |
| No log | 6.9275 | 478 | 0.5829 | 0.6821 | 0.5829 | 0.7635 |
| No log | 6.9565 | 480 | 0.5828 | 0.6821 | 0.5828 | 0.7634 |
| No log | 6.9855 | 482 | 0.5785 | 0.7192 | 0.5785 | 0.7606 |
| No log | 7.0145 | 484 | 0.6372 | 0.6975 | 0.6372 | 0.7983 |
| No log | 7.0435 | 486 | 0.7614 | 0.6384 | 0.7614 | 0.8726 |
| No log | 7.0725 | 488 | 0.7670 | 0.6327 | 0.7670 | 0.8758 |
| No log | 7.1014 | 490 | 0.7753 | 0.6256 | 0.7753 | 0.8805 |
| No log | 7.1304 | 492 | 0.7177 | 0.6399 | 0.7177 | 0.8472 |
| No log | 7.1594 | 494 | 0.6758 | 0.6885 | 0.6758 | 0.8221 |
| No log | 7.1884 | 496 | 0.7087 | 0.6420 | 0.7087 | 0.8418 |
| No log | 7.2174 | 498 | 0.7912 | 0.6331 | 0.7912 | 0.8895 |
| 0.4843 | 7.2464 | 500 | 0.8207 | 0.6309 | 0.8207 | 0.9060 |
| 0.4843 | 7.2754 | 502 | 0.8796 | 0.6567 | 0.8796 | 0.9379 |
| 0.4843 | 7.3043 | 504 | 0.8116 | 0.6522 | 0.8116 | 0.9009 |
| 0.4843 | 7.3333 | 506 | 0.7666 | 0.6627 | 0.7666 | 0.8756 |
| 0.4843 | 7.3623 | 508 | 0.7336 | 0.6815 | 0.7336 | 0.8565 |
| 0.4843 | 7.3913 | 510 | 0.7251 | 0.6877 | 0.7251 | 0.8515 |
| 0.4843 | 7.4203 | 512 | 0.8221 | 0.6667 | 0.8221 | 0.9067 |
| 0.4843 | 7.4493 | 514 | 0.9584 | 0.6140 | 0.9584 | 0.9790 |
| 0.4843 | 7.4783 | 516 | 1.0442 | 0.5881 | 1.0442 | 1.0219 |
| 0.4843 | 7.5072 | 518 | 1.0306 | 0.5824 | 1.0306 | 1.0152 |
| 0.4843 | 7.5362 | 520 | 0.9514 | 0.6050 | 0.9514 | 0.9754 |
| 0.4843 | 7.5652 | 522 | 0.8166 | 0.6630 | 0.8166 | 0.9037 |
| 0.4843 | 7.5942 | 524 | 0.8197 | 0.6412 | 0.8197 | 0.9054 |
| 0.4843 | 7.6232 | 526 | 0.9055 | 0.6131 | 0.9055 | 0.9516 |
| 0.4843 | 7.6522 | 528 | 0.8760 | 0.6445 | 0.8760 | 0.9360 |
| 0.4843 | 7.6812 | 530 | 0.8057 | 0.6605 | 0.8057 | 0.8976 |
| 0.4843 | 7.7101 | 532 | 0.7084 | 0.6632 | 0.7084 | 0.8416 |
| 0.4843 | 7.7391 | 534 | 0.6534 | 0.6468 | 0.6534 | 0.8083 |
| 0.4843 | 7.7681 | 536 | 0.6522 | 0.6594 | 0.6522 | 0.8076 |
| 0.4843 | 7.7971 | 538 | 0.6792 | 0.6845 | 0.6792 | 0.8242 |
| 0.4843 | 7.8261 | 540 | 0.8105 | 0.6756 | 0.8105 | 0.9003 |
| 0.4843 | 7.8551 | 542 | 0.9954 | 0.6073 | 0.9954 | 0.9977 |
| 0.4843 | 7.8841 | 544 | 1.1476 | 0.5503 | 1.1476 | 1.0713 |
| 0.4843 | 7.9130 | 546 | 1.1695 | 0.5354 | 1.1695 | 1.0814 |
| 0.4843 | 7.9420 | 548 | 1.0480 | 0.5683 | 1.0480 | 1.0237 |
| 0.4843 | 7.9710 | 550 | 0.9407 | 0.5869 | 0.9407 | 0.9699 |
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_usingALLEssays_FineTuningAraBERT_run3_AugV5_k14_task1_organization
Base model
aubmindlab/bert-base-arabertv02