ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k1_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: 0.5591
- Qwk: 0.6479
- Mse: 0.5591
- Rmse: 0.7477
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 | 0.2857 | 2 | 3.9029 | -0.0153 | 3.9029 | 1.9756 |
| No log | 0.5714 | 4 | 2.4790 | 0.0541 | 2.4790 | 1.5745 |
| No log | 0.8571 | 6 | 1.2095 | 0.0760 | 1.2095 | 1.0998 |
| No log | 1.1429 | 8 | 0.9903 | 0.2897 | 0.9903 | 0.9951 |
| No log | 1.4286 | 10 | 1.0652 | 0.0888 | 1.0652 | 1.0321 |
| No log | 1.7143 | 12 | 1.1097 | 0.0888 | 1.1097 | 1.0534 |
| No log | 2.0 | 14 | 1.1143 | 0.1713 | 1.1143 | 1.0556 |
| No log | 2.2857 | 16 | 1.4437 | 0.0196 | 1.4437 | 1.2016 |
| No log | 2.5714 | 18 | 1.2948 | 0.0196 | 1.2948 | 1.1379 |
| No log | 2.8571 | 20 | 1.1823 | 0.1058 | 1.1823 | 1.0873 |
| No log | 3.1429 | 22 | 0.9909 | 0.2616 | 0.9909 | 0.9955 |
| No log | 3.4286 | 24 | 0.9075 | 0.3041 | 0.9075 | 0.9526 |
| No log | 3.7143 | 26 | 0.7882 | 0.4416 | 0.7882 | 0.8878 |
| No log | 4.0 | 28 | 0.7233 | 0.5054 | 0.7233 | 0.8505 |
| No log | 4.2857 | 30 | 0.7493 | 0.4604 | 0.7493 | 0.8656 |
| No log | 4.5714 | 32 | 0.9637 | 0.4149 | 0.9637 | 0.9817 |
| No log | 4.8571 | 34 | 1.3570 | 0.2142 | 1.3570 | 1.1649 |
| No log | 5.1429 | 36 | 1.3356 | 0.2424 | 1.3356 | 1.1557 |
| No log | 5.4286 | 38 | 1.1192 | 0.3289 | 1.1192 | 1.0579 |
| No log | 5.7143 | 40 | 0.7064 | 0.5288 | 0.7064 | 0.8405 |
| No log | 6.0 | 42 | 0.8131 | 0.5006 | 0.8131 | 0.9017 |
| No log | 6.2857 | 44 | 0.7458 | 0.5243 | 0.7458 | 0.8636 |
| No log | 6.5714 | 46 | 0.7205 | 0.5434 | 0.7205 | 0.8488 |
| No log | 6.8571 | 48 | 1.2061 | 0.2727 | 1.2061 | 1.0982 |
| No log | 7.1429 | 50 | 1.3307 | 0.3050 | 1.3307 | 1.1536 |
| No log | 7.4286 | 52 | 0.9919 | 0.2618 | 0.9919 | 0.9959 |
| No log | 7.7143 | 54 | 0.6741 | 0.5396 | 0.6741 | 0.8210 |
| No log | 8.0 | 56 | 0.6682 | 0.6227 | 0.6682 | 0.8174 |
| No log | 8.2857 | 58 | 0.6560 | 0.6513 | 0.6560 | 0.8099 |
| No log | 8.5714 | 60 | 0.5671 | 0.6328 | 0.5671 | 0.7530 |
| No log | 8.8571 | 62 | 0.5550 | 0.5977 | 0.5550 | 0.7450 |
| No log | 9.1429 | 64 | 0.6480 | 0.5794 | 0.6480 | 0.8050 |
| No log | 9.4286 | 66 | 0.6524 | 0.5936 | 0.6524 | 0.8077 |
| No log | 9.7143 | 68 | 0.5621 | 0.6722 | 0.5621 | 0.7498 |
| No log | 10.0 | 70 | 0.5057 | 0.6899 | 0.5057 | 0.7111 |
| No log | 10.2857 | 72 | 0.5187 | 0.7128 | 0.5187 | 0.7202 |
| No log | 10.5714 | 74 | 0.5950 | 0.6957 | 0.5950 | 0.7713 |
| No log | 10.8571 | 76 | 0.8691 | 0.5470 | 0.8691 | 0.9322 |
| No log | 11.1429 | 78 | 1.1508 | 0.4954 | 1.1508 | 1.0728 |
| No log | 11.4286 | 80 | 1.0493 | 0.4767 | 1.0493 | 1.0243 |
| No log | 11.7143 | 82 | 0.6987 | 0.6715 | 0.6987 | 0.8359 |
| No log | 12.0 | 84 | 0.6875 | 0.6791 | 0.6875 | 0.8292 |
| No log | 12.2857 | 86 | 0.7229 | 0.6394 | 0.7229 | 0.8502 |
| No log | 12.5714 | 88 | 0.6364 | 0.6426 | 0.6364 | 0.7978 |
| No log | 12.8571 | 90 | 0.5690 | 0.6006 | 0.5690 | 0.7543 |
| No log | 13.1429 | 92 | 0.6737 | 0.6421 | 0.6737 | 0.8208 |
| No log | 13.4286 | 94 | 0.7395 | 0.5891 | 0.7395 | 0.8599 |
| No log | 13.7143 | 96 | 0.6816 | 0.6949 | 0.6816 | 0.8256 |
| No log | 14.0 | 98 | 0.5847 | 0.6306 | 0.5847 | 0.7646 |
| No log | 14.2857 | 100 | 0.5886 | 0.6537 | 0.5886 | 0.7672 |
| No log | 14.5714 | 102 | 0.6045 | 0.6257 | 0.6045 | 0.7775 |
| No log | 14.8571 | 104 | 0.5691 | 0.6326 | 0.5691 | 0.7544 |
| No log | 15.1429 | 106 | 0.5734 | 0.6177 | 0.5734 | 0.7572 |
| No log | 15.4286 | 108 | 0.5709 | 0.6773 | 0.5709 | 0.7556 |
| No log | 15.7143 | 110 | 0.5465 | 0.6544 | 0.5465 | 0.7392 |
| No log | 16.0 | 112 | 0.5479 | 0.7057 | 0.5479 | 0.7402 |
| No log | 16.2857 | 114 | 0.5467 | 0.6899 | 0.5467 | 0.7394 |
| No log | 16.5714 | 116 | 0.5212 | 0.7253 | 0.5212 | 0.7219 |
| No log | 16.8571 | 118 | 0.5222 | 0.6594 | 0.5222 | 0.7227 |
| No log | 17.1429 | 120 | 0.5628 | 0.6751 | 0.5628 | 0.7502 |
| No log | 17.4286 | 122 | 0.5819 | 0.6669 | 0.5819 | 0.7628 |
| No log | 17.7143 | 124 | 0.5327 | 0.6740 | 0.5327 | 0.7299 |
| No log | 18.0 | 126 | 0.5085 | 0.7036 | 0.5085 | 0.7131 |
| No log | 18.2857 | 128 | 0.5399 | 0.7187 | 0.5399 | 0.7348 |
| No log | 18.5714 | 130 | 0.5069 | 0.6845 | 0.5069 | 0.7119 |
| No log | 18.8571 | 132 | 0.5412 | 0.6302 | 0.5412 | 0.7357 |
| No log | 19.1429 | 134 | 0.5299 | 0.6606 | 0.5299 | 0.7280 |
| No log | 19.4286 | 136 | 0.4998 | 0.6896 | 0.4998 | 0.7070 |
| No log | 19.7143 | 138 | 0.5113 | 0.6903 | 0.5113 | 0.7150 |
| No log | 20.0 | 140 | 0.5230 | 0.6675 | 0.5230 | 0.7232 |
| No log | 20.2857 | 142 | 0.5062 | 0.6976 | 0.5062 | 0.7115 |
| No log | 20.5714 | 144 | 0.4973 | 0.7351 | 0.4973 | 0.7052 |
| No log | 20.8571 | 146 | 0.5255 | 0.6841 | 0.5255 | 0.7249 |
| No log | 21.1429 | 148 | 0.5456 | 0.6796 | 0.5456 | 0.7386 |
| No log | 21.4286 | 150 | 0.5440 | 0.7042 | 0.5440 | 0.7375 |
| No log | 21.7143 | 152 | 0.5137 | 0.7017 | 0.5137 | 0.7167 |
| No log | 22.0 | 154 | 0.5125 | 0.6622 | 0.5125 | 0.7159 |
| No log | 22.2857 | 156 | 0.5294 | 0.6743 | 0.5294 | 0.7276 |
| No log | 22.5714 | 158 | 0.5456 | 0.6601 | 0.5456 | 0.7387 |
| No log | 22.8571 | 160 | 0.5573 | 0.6187 | 0.5573 | 0.7465 |
| No log | 23.1429 | 162 | 0.5707 | 0.6207 | 0.5707 | 0.7555 |
| No log | 23.4286 | 164 | 0.5644 | 0.6593 | 0.5644 | 0.7513 |
| No log | 23.7143 | 166 | 0.5703 | 0.6667 | 0.5703 | 0.7552 |
| No log | 24.0 | 168 | 0.6173 | 0.6298 | 0.6173 | 0.7857 |
| No log | 24.2857 | 170 | 0.6510 | 0.6298 | 0.6510 | 0.8069 |
| No log | 24.5714 | 172 | 0.6150 | 0.6508 | 0.6150 | 0.7842 |
| No log | 24.8571 | 174 | 0.5896 | 0.6493 | 0.5896 | 0.7679 |
| No log | 25.1429 | 176 | 0.5948 | 0.6583 | 0.5948 | 0.7712 |
| No log | 25.4286 | 178 | 0.5975 | 0.6501 | 0.5975 | 0.7730 |
| No log | 25.7143 | 180 | 0.6674 | 0.6470 | 0.6674 | 0.8169 |
| No log | 26.0 | 182 | 0.7250 | 0.6074 | 0.7250 | 0.8515 |
| No log | 26.2857 | 184 | 0.7195 | 0.6074 | 0.7195 | 0.8482 |
| No log | 26.5714 | 186 | 0.6046 | 0.6516 | 0.6046 | 0.7776 |
| No log | 26.8571 | 188 | 0.5599 | 0.7071 | 0.5599 | 0.7483 |
| No log | 27.1429 | 190 | 0.5511 | 0.6518 | 0.5511 | 0.7424 |
| No log | 27.4286 | 192 | 0.5463 | 0.6518 | 0.5463 | 0.7391 |
| No log | 27.7143 | 194 | 0.5441 | 0.6966 | 0.5441 | 0.7377 |
| No log | 28.0 | 196 | 0.5522 | 0.7165 | 0.5522 | 0.7431 |
| No log | 28.2857 | 198 | 0.5499 | 0.7165 | 0.5499 | 0.7416 |
| No log | 28.5714 | 200 | 0.5430 | 0.6858 | 0.5430 | 0.7369 |
| No log | 28.8571 | 202 | 0.5372 | 0.7033 | 0.5372 | 0.7329 |
| No log | 29.1429 | 204 | 0.5309 | 0.6772 | 0.5309 | 0.7287 |
| No log | 29.4286 | 206 | 0.5324 | 0.6388 | 0.5324 | 0.7297 |
| No log | 29.7143 | 208 | 0.5328 | 0.6430 | 0.5328 | 0.7299 |
| No log | 30.0 | 210 | 0.5325 | 0.6796 | 0.5325 | 0.7297 |
| No log | 30.2857 | 212 | 0.5370 | 0.6452 | 0.5370 | 0.7328 |
| No log | 30.5714 | 214 | 0.5369 | 0.6858 | 0.5369 | 0.7328 |
| No log | 30.8571 | 216 | 0.5359 | 0.6466 | 0.5359 | 0.7320 |
| No log | 31.1429 | 218 | 0.5348 | 0.6332 | 0.5348 | 0.7313 |
| No log | 31.4286 | 220 | 0.5258 | 0.7009 | 0.5258 | 0.7251 |
| No log | 31.7143 | 222 | 0.5169 | 0.6464 | 0.5169 | 0.7189 |
| No log | 32.0 | 224 | 0.5286 | 0.6484 | 0.5286 | 0.7271 |
| No log | 32.2857 | 226 | 0.5441 | 0.6374 | 0.5441 | 0.7376 |
| No log | 32.5714 | 228 | 0.5690 | 0.7093 | 0.5690 | 0.7543 |
| No log | 32.8571 | 230 | 0.5530 | 0.7093 | 0.5530 | 0.7436 |
| No log | 33.1429 | 232 | 0.5289 | 0.7027 | 0.5289 | 0.7273 |
| No log | 33.4286 | 234 | 0.5140 | 0.6389 | 0.5140 | 0.7170 |
| No log | 33.7143 | 236 | 0.5194 | 0.6634 | 0.5194 | 0.7207 |
| No log | 34.0 | 238 | 0.5179 | 0.6114 | 0.5179 | 0.7197 |
| No log | 34.2857 | 240 | 0.5293 | 0.7035 | 0.5293 | 0.7275 |
| No log | 34.5714 | 242 | 0.5484 | 0.6845 | 0.5484 | 0.7405 |
| No log | 34.8571 | 244 | 0.5455 | 0.6838 | 0.5455 | 0.7386 |
| No log | 35.1429 | 246 | 0.5286 | 0.7080 | 0.5286 | 0.7271 |
| No log | 35.4286 | 248 | 0.5237 | 0.6647 | 0.5237 | 0.7236 |
| No log | 35.7143 | 250 | 0.5174 | 0.7222 | 0.5174 | 0.7193 |
| No log | 36.0 | 252 | 0.5141 | 0.7222 | 0.5141 | 0.7170 |
| No log | 36.2857 | 254 | 0.5105 | 0.7402 | 0.5105 | 0.7145 |
| No log | 36.5714 | 256 | 0.5051 | 0.6398 | 0.5051 | 0.7107 |
| No log | 36.8571 | 258 | 0.5046 | 0.6473 | 0.5046 | 0.7104 |
| No log | 37.1429 | 260 | 0.5217 | 0.6594 | 0.5217 | 0.7223 |
| No log | 37.4286 | 262 | 0.5488 | 0.6695 | 0.5488 | 0.7408 |
| No log | 37.7143 | 264 | 0.5675 | 0.6610 | 0.5675 | 0.7533 |
| No log | 38.0 | 266 | 0.5989 | 0.6452 | 0.5989 | 0.7739 |
| No log | 38.2857 | 268 | 0.5871 | 0.6725 | 0.5871 | 0.7662 |
| No log | 38.5714 | 270 | 0.5583 | 0.6676 | 0.5583 | 0.7472 |
| No log | 38.8571 | 272 | 0.5510 | 0.6681 | 0.5510 | 0.7423 |
| No log | 39.1429 | 274 | 0.5663 | 0.6687 | 0.5663 | 0.7525 |
| No log | 39.4286 | 276 | 0.5555 | 0.6451 | 0.5555 | 0.7453 |
| No log | 39.7143 | 278 | 0.5460 | 0.6482 | 0.5460 | 0.7389 |
| No log | 40.0 | 280 | 0.5649 | 0.6392 | 0.5649 | 0.7516 |
| No log | 40.2857 | 282 | 0.5600 | 0.6561 | 0.5600 | 0.7483 |
| No log | 40.5714 | 284 | 0.5712 | 0.6392 | 0.5712 | 0.7558 |
| No log | 40.8571 | 286 | 0.5601 | 0.6725 | 0.5601 | 0.7484 |
| No log | 41.1429 | 288 | 0.5475 | 0.6725 | 0.5475 | 0.7399 |
| No log | 41.4286 | 290 | 0.5313 | 0.6545 | 0.5313 | 0.7289 |
| No log | 41.7143 | 292 | 0.5237 | 0.6680 | 0.5237 | 0.7237 |
| No log | 42.0 | 294 | 0.5224 | 0.7141 | 0.5224 | 0.7228 |
| No log | 42.2857 | 296 | 0.5125 | 0.7034 | 0.5125 | 0.7159 |
| No log | 42.5714 | 298 | 0.5173 | 0.6858 | 0.5173 | 0.7193 |
| No log | 42.8571 | 300 | 0.5310 | 0.7041 | 0.5310 | 0.7287 |
| No log | 43.1429 | 302 | 0.5475 | 0.6716 | 0.5475 | 0.7399 |
| No log | 43.4286 | 304 | 0.5453 | 0.7001 | 0.5453 | 0.7385 |
| No log | 43.7143 | 306 | 0.5616 | 0.6644 | 0.5616 | 0.7494 |
| No log | 44.0 | 308 | 0.5511 | 0.6644 | 0.5511 | 0.7424 |
| No log | 44.2857 | 310 | 0.5296 | 0.6650 | 0.5296 | 0.7278 |
| No log | 44.5714 | 312 | 0.5447 | 0.6554 | 0.5447 | 0.7380 |
| No log | 44.8571 | 314 | 0.5772 | 0.6705 | 0.5772 | 0.7597 |
| No log | 45.1429 | 316 | 0.5719 | 0.6245 | 0.5719 | 0.7563 |
| No log | 45.4286 | 318 | 0.5389 | 0.7050 | 0.5389 | 0.7341 |
| No log | 45.7143 | 320 | 0.5304 | 0.6756 | 0.5304 | 0.7283 |
| No log | 46.0 | 322 | 0.5360 | 0.6733 | 0.5360 | 0.7322 |
| No log | 46.2857 | 324 | 0.5287 | 0.6725 | 0.5287 | 0.7271 |
| No log | 46.5714 | 326 | 0.5288 | 0.6835 | 0.5288 | 0.7272 |
| No log | 46.8571 | 328 | 0.5334 | 0.7206 | 0.5334 | 0.7304 |
| No log | 47.1429 | 330 | 0.5334 | 0.7106 | 0.5334 | 0.7303 |
| No log | 47.4286 | 332 | 0.5342 | 0.7070 | 0.5342 | 0.7309 |
| No log | 47.7143 | 334 | 0.5275 | 0.7501 | 0.5275 | 0.7263 |
| No log | 48.0 | 336 | 0.5292 | 0.6733 | 0.5292 | 0.7274 |
| No log | 48.2857 | 338 | 0.5367 | 0.6667 | 0.5367 | 0.7326 |
| No log | 48.5714 | 340 | 0.5370 | 0.6966 | 0.5370 | 0.7328 |
| No log | 48.8571 | 342 | 0.5328 | 0.6850 | 0.5328 | 0.7299 |
| No log | 49.1429 | 344 | 0.5382 | 0.7019 | 0.5382 | 0.7336 |
| No log | 49.4286 | 346 | 0.5352 | 0.6901 | 0.5352 | 0.7316 |
| No log | 49.7143 | 348 | 0.5311 | 0.6820 | 0.5311 | 0.7287 |
| No log | 50.0 | 350 | 0.5342 | 0.6789 | 0.5342 | 0.7309 |
| No log | 50.2857 | 352 | 0.5349 | 0.6781 | 0.5349 | 0.7314 |
| No log | 50.5714 | 354 | 0.5359 | 0.6923 | 0.5359 | 0.7321 |
| No log | 50.8571 | 356 | 0.5363 | 0.6614 | 0.5363 | 0.7323 |
| No log | 51.1429 | 358 | 0.5398 | 0.6986 | 0.5398 | 0.7347 |
| No log | 51.4286 | 360 | 0.5384 | 0.6882 | 0.5384 | 0.7338 |
| No log | 51.7143 | 362 | 0.5369 | 0.6955 | 0.5369 | 0.7327 |
| No log | 52.0 | 364 | 0.5372 | 0.6822 | 0.5372 | 0.7329 |
| No log | 52.2857 | 366 | 0.5329 | 0.6737 | 0.5329 | 0.7300 |
| No log | 52.5714 | 368 | 0.5312 | 0.7071 | 0.5312 | 0.7289 |
| No log | 52.8571 | 370 | 0.5309 | 0.7071 | 0.5309 | 0.7286 |
| No log | 53.1429 | 372 | 0.5301 | 0.6911 | 0.5301 | 0.7281 |
| No log | 53.4286 | 374 | 0.5363 | 0.6854 | 0.5363 | 0.7323 |
| No log | 53.7143 | 376 | 0.5586 | 0.6898 | 0.5586 | 0.7474 |
| No log | 54.0 | 378 | 0.5733 | 0.6322 | 0.5733 | 0.7572 |
| No log | 54.2857 | 380 | 0.5585 | 0.6536 | 0.5585 | 0.7473 |
| No log | 54.5714 | 382 | 0.5324 | 0.6858 | 0.5324 | 0.7296 |
| No log | 54.8571 | 384 | 0.5392 | 0.7179 | 0.5392 | 0.7343 |
| No log | 55.1429 | 386 | 0.5670 | 0.6743 | 0.5670 | 0.7530 |
| No log | 55.4286 | 388 | 0.5724 | 0.6512 | 0.5724 | 0.7565 |
| No log | 55.7143 | 390 | 0.5538 | 0.6845 | 0.5538 | 0.7442 |
| No log | 56.0 | 392 | 0.5311 | 0.6687 | 0.5311 | 0.7287 |
| No log | 56.2857 | 394 | 0.5285 | 0.6869 | 0.5285 | 0.7269 |
| No log | 56.5714 | 396 | 0.5322 | 0.6854 | 0.5322 | 0.7295 |
| No log | 56.8571 | 398 | 0.5273 | 0.6745 | 0.5273 | 0.7262 |
| No log | 57.1429 | 400 | 0.5207 | 0.6966 | 0.5207 | 0.7216 |
| No log | 57.4286 | 402 | 0.5276 | 0.6846 | 0.5276 | 0.7264 |
| No log | 57.7143 | 404 | 0.5526 | 0.6573 | 0.5526 | 0.7434 |
| No log | 58.0 | 406 | 0.5617 | 0.6340 | 0.5617 | 0.7495 |
| No log | 58.2857 | 408 | 0.5518 | 0.6677 | 0.5518 | 0.7429 |
| No log | 58.5714 | 410 | 0.5340 | 0.6830 | 0.5340 | 0.7308 |
| No log | 58.8571 | 412 | 0.5202 | 0.6924 | 0.5202 | 0.7212 |
| No log | 59.1429 | 414 | 0.5156 | 0.6841 | 0.5156 | 0.7180 |
| No log | 59.4286 | 416 | 0.5175 | 0.6507 | 0.5175 | 0.7194 |
| No log | 59.7143 | 418 | 0.5200 | 0.6547 | 0.5200 | 0.7211 |
| No log | 60.0 | 420 | 0.5225 | 0.6742 | 0.5225 | 0.7228 |
| No log | 60.2857 | 422 | 0.5203 | 0.6742 | 0.5203 | 0.7213 |
| No log | 60.5714 | 424 | 0.5190 | 0.7025 | 0.5190 | 0.7204 |
| No log | 60.8571 | 426 | 0.5226 | 0.6970 | 0.5226 | 0.7229 |
| No log | 61.1429 | 428 | 0.5250 | 0.6880 | 0.5250 | 0.7245 |
| No log | 61.4286 | 430 | 0.5284 | 0.6880 | 0.5284 | 0.7269 |
| No log | 61.7143 | 432 | 0.5234 | 0.7049 | 0.5234 | 0.7235 |
| No log | 62.0 | 434 | 0.5181 | 0.7193 | 0.5181 | 0.7198 |
| No log | 62.2857 | 436 | 0.5160 | 0.7025 | 0.5160 | 0.7183 |
| No log | 62.5714 | 438 | 0.5147 | 0.7025 | 0.5147 | 0.7174 |
| No log | 62.8571 | 440 | 0.5162 | 0.7025 | 0.5162 | 0.7184 |
| No log | 63.1429 | 442 | 0.5168 | 0.7025 | 0.5168 | 0.7189 |
| No log | 63.4286 | 444 | 0.5141 | 0.7025 | 0.5141 | 0.7170 |
| No log | 63.7143 | 446 | 0.5163 | 0.7005 | 0.5163 | 0.7186 |
| No log | 64.0 | 448 | 0.5249 | 0.6901 | 0.5249 | 0.7245 |
| No log | 64.2857 | 450 | 0.5334 | 0.6589 | 0.5334 | 0.7303 |
| No log | 64.5714 | 452 | 0.5408 | 0.6589 | 0.5408 | 0.7354 |
| No log | 64.8571 | 454 | 0.5379 | 0.6732 | 0.5379 | 0.7334 |
| No log | 65.1429 | 456 | 0.5274 | 0.6888 | 0.5274 | 0.7262 |
| No log | 65.4286 | 458 | 0.5272 | 0.6796 | 0.5272 | 0.7261 |
| No log | 65.7143 | 460 | 0.5385 | 0.6325 | 0.5385 | 0.7338 |
| No log | 66.0 | 462 | 0.5594 | 0.6581 | 0.5594 | 0.7480 |
| No log | 66.2857 | 464 | 0.5959 | 0.6590 | 0.5959 | 0.7719 |
| No log | 66.5714 | 466 | 0.6068 | 0.6590 | 0.6068 | 0.7790 |
| No log | 66.8571 | 468 | 0.5811 | 0.6479 | 0.5811 | 0.7623 |
| No log | 67.1429 | 470 | 0.5550 | 0.6581 | 0.5550 | 0.7450 |
| No log | 67.4286 | 472 | 0.5382 | 0.6581 | 0.5382 | 0.7336 |
| No log | 67.7143 | 474 | 0.5247 | 0.6745 | 0.5247 | 0.7244 |
| No log | 68.0 | 476 | 0.5214 | 0.6737 | 0.5214 | 0.7221 |
| No log | 68.2857 | 478 | 0.5225 | 0.6737 | 0.5225 | 0.7228 |
| No log | 68.5714 | 480 | 0.5242 | 0.6737 | 0.5242 | 0.7240 |
| No log | 68.8571 | 482 | 0.5285 | 0.6778 | 0.5285 | 0.7270 |
| No log | 69.1429 | 484 | 0.5312 | 0.6644 | 0.5312 | 0.7288 |
| No log | 69.4286 | 486 | 0.5378 | 0.6644 | 0.5378 | 0.7334 |
| No log | 69.7143 | 488 | 0.5430 | 0.6581 | 0.5430 | 0.7369 |
| No log | 70.0 | 490 | 0.5397 | 0.6644 | 0.5397 | 0.7347 |
| No log | 70.2857 | 492 | 0.5347 | 0.6499 | 0.5347 | 0.7313 |
| No log | 70.5714 | 494 | 0.5343 | 0.6499 | 0.5343 | 0.7310 |
| No log | 70.8571 | 496 | 0.5343 | 0.6667 | 0.5343 | 0.7310 |
| No log | 71.1429 | 498 | 0.5334 | 0.6667 | 0.5334 | 0.7303 |
| 0.2218 | 71.4286 | 500 | 0.5331 | 0.6667 | 0.5331 | 0.7301 |
| 0.2218 | 71.7143 | 502 | 0.5342 | 0.6667 | 0.5342 | 0.7309 |
| 0.2218 | 72.0 | 504 | 0.5387 | 0.6499 | 0.5387 | 0.7340 |
| 0.2218 | 72.2857 | 506 | 0.5468 | 0.6581 | 0.5468 | 0.7395 |
| 0.2218 | 72.5714 | 508 | 0.5547 | 0.6581 | 0.5547 | 0.7448 |
| 0.2218 | 72.8571 | 510 | 0.5591 | 0.6479 | 0.5591 | 0.7477 |
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_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k1_task5_organization
Base model
aubmindlab/bert-base-arabertv02