ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k8_task7_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: 0.5296
- Qwk: 0.4997
- Mse: 0.5296
- Rmse: 0.7277
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 | 0.0690 | 2 | 2.6698 | 0.0070 | 2.6698 | 1.6339 |
| No log | 0.1379 | 4 | 1.4086 | -0.0092 | 1.4086 | 1.1869 |
| No log | 0.2069 | 6 | 0.8465 | 0.0535 | 0.8465 | 0.9201 |
| No log | 0.2759 | 8 | 0.9350 | 0.0053 | 0.9350 | 0.9669 |
| No log | 0.3448 | 10 | 1.1076 | -0.0173 | 1.1076 | 1.0524 |
| No log | 0.4138 | 12 | 0.8806 | 0.0 | 0.8806 | 0.9384 |
| No log | 0.4828 | 14 | 0.7868 | 0.0 | 0.7868 | 0.8870 |
| No log | 0.5517 | 16 | 0.8409 | 0.0 | 0.8409 | 0.9170 |
| No log | 0.6207 | 18 | 0.9885 | 0.0509 | 0.9885 | 0.9942 |
| No log | 0.6897 | 20 | 0.9870 | 0.0509 | 0.9870 | 0.9935 |
| No log | 0.7586 | 22 | 0.9603 | 0.0053 | 0.9603 | 0.9799 |
| No log | 0.8276 | 24 | 0.8383 | 0.0 | 0.8383 | 0.9156 |
| No log | 0.8966 | 26 | 0.8032 | 0.0 | 0.8032 | 0.8962 |
| No log | 0.9655 | 28 | 0.8257 | 0.0 | 0.8257 | 0.9087 |
| No log | 1.0345 | 30 | 0.8871 | 0.0 | 0.8871 | 0.9418 |
| No log | 1.1034 | 32 | 0.9202 | 0.0481 | 0.9202 | 0.9593 |
| No log | 1.1724 | 34 | 0.9055 | 0.0 | 0.9055 | 0.9516 |
| No log | 1.2414 | 36 | 0.8905 | 0.0 | 0.8905 | 0.9437 |
| No log | 1.3103 | 38 | 0.8168 | 0.0 | 0.8168 | 0.9038 |
| No log | 1.3793 | 40 | 0.7317 | -0.0027 | 0.7317 | 0.8554 |
| No log | 1.4483 | 42 | 0.6554 | 0.2270 | 0.6554 | 0.8095 |
| No log | 1.5172 | 44 | 0.6321 | 0.1561 | 0.6321 | 0.7951 |
| No log | 1.5862 | 46 | 0.6793 | 0.1327 | 0.6793 | 0.8242 |
| No log | 1.6552 | 48 | 0.7921 | 0.2526 | 0.7921 | 0.8900 |
| No log | 1.7241 | 50 | 0.9480 | 0.2613 | 0.9480 | 0.9737 |
| No log | 1.7931 | 52 | 0.9377 | 0.2703 | 0.9377 | 0.9683 |
| No log | 1.8621 | 54 | 0.7791 | 0.1770 | 0.7791 | 0.8827 |
| No log | 1.9310 | 56 | 0.7389 | 0.0940 | 0.7389 | 0.8596 |
| No log | 2.0 | 58 | 0.7002 | 0.0764 | 0.7002 | 0.8368 |
| No log | 2.0690 | 60 | 0.6914 | 0.2606 | 0.6914 | 0.8315 |
| No log | 2.1379 | 62 | 0.6734 | 0.1903 | 0.6734 | 0.8206 |
| No log | 2.2069 | 64 | 0.7441 | 0.0027 | 0.7441 | 0.8626 |
| No log | 2.2759 | 66 | 0.9222 | 0.2736 | 0.9222 | 0.9603 |
| No log | 2.3448 | 68 | 0.9832 | 0.2642 | 0.9832 | 0.9916 |
| No log | 2.4138 | 70 | 0.8676 | 0.1339 | 0.8676 | 0.9314 |
| No log | 2.4828 | 72 | 0.7495 | 0.0 | 0.7495 | 0.8657 |
| No log | 2.5517 | 74 | 0.6941 | 0.1400 | 0.6941 | 0.8331 |
| No log | 2.6207 | 76 | 0.6289 | 0.2540 | 0.6289 | 0.7930 |
| No log | 2.6897 | 78 | 0.6366 | 0.2884 | 0.6366 | 0.7979 |
| No log | 2.7586 | 80 | 0.7122 | 0.3118 | 0.7122 | 0.8439 |
| No log | 2.8276 | 82 | 0.7488 | 0.2991 | 0.7488 | 0.8653 |
| No log | 2.8966 | 84 | 0.7697 | 0.2574 | 0.7697 | 0.8773 |
| No log | 2.9655 | 86 | 0.8165 | 0.2857 | 0.8165 | 0.9036 |
| No log | 3.0345 | 88 | 0.8040 | 0.2939 | 0.8040 | 0.8967 |
| No log | 3.1034 | 90 | 0.6920 | 0.2239 | 0.6920 | 0.8319 |
| No log | 3.1724 | 92 | 0.6496 | 0.3153 | 0.6496 | 0.8060 |
| No log | 3.2414 | 94 | 0.6449 | 0.2787 | 0.6449 | 0.8031 |
| No log | 3.3103 | 96 | 0.6399 | 0.2787 | 0.6399 | 0.7999 |
| No log | 3.3793 | 98 | 0.6951 | 0.3745 | 0.6951 | 0.8337 |
| No log | 3.4483 | 100 | 0.8504 | 0.2369 | 0.8504 | 0.9222 |
| No log | 3.5172 | 102 | 0.8060 | 0.3312 | 0.8060 | 0.8978 |
| No log | 3.5862 | 104 | 0.6552 | 0.5208 | 0.6552 | 0.8094 |
| No log | 3.6552 | 106 | 0.6087 | 0.3407 | 0.6087 | 0.7802 |
| No log | 3.7241 | 108 | 0.5992 | 0.3608 | 0.5992 | 0.7741 |
| No log | 3.7931 | 110 | 0.6106 | 0.3942 | 0.6106 | 0.7814 |
| No log | 3.8621 | 112 | 0.6234 | 0.4698 | 0.6234 | 0.7896 |
| No log | 3.9310 | 114 | 0.6687 | 0.4412 | 0.6687 | 0.8177 |
| No log | 4.0 | 116 | 0.6475 | 0.4719 | 0.6475 | 0.8047 |
| No log | 4.0690 | 118 | 0.6062 | 0.3366 | 0.6062 | 0.7786 |
| No log | 4.1379 | 120 | 0.5646 | 0.2923 | 0.5646 | 0.7514 |
| No log | 4.2069 | 122 | 0.5668 | 0.3445 | 0.5668 | 0.7529 |
| No log | 4.2759 | 124 | 0.5446 | 0.3445 | 0.5446 | 0.7380 |
| No log | 4.3448 | 126 | 0.5495 | 0.5449 | 0.5495 | 0.7413 |
| No log | 4.4138 | 128 | 0.5449 | 0.5332 | 0.5449 | 0.7382 |
| No log | 4.4828 | 130 | 0.5961 | 0.5046 | 0.5961 | 0.7721 |
| No log | 4.5517 | 132 | 0.5437 | 0.6141 | 0.5437 | 0.7374 |
| No log | 4.6207 | 134 | 0.5061 | 0.5583 | 0.5061 | 0.7114 |
| No log | 4.6897 | 136 | 0.5197 | 0.5395 | 0.5197 | 0.7209 |
| No log | 4.7586 | 138 | 0.5218 | 0.5015 | 0.5218 | 0.7223 |
| No log | 4.8276 | 140 | 0.5130 | 0.5379 | 0.5130 | 0.7163 |
| No log | 4.8966 | 142 | 0.5486 | 0.6027 | 0.5486 | 0.7407 |
| No log | 4.9655 | 144 | 0.5079 | 0.5475 | 0.5079 | 0.7127 |
| No log | 5.0345 | 146 | 0.5016 | 0.5641 | 0.5016 | 0.7083 |
| No log | 5.1034 | 148 | 0.5062 | 0.5424 | 0.5062 | 0.7115 |
| No log | 5.1724 | 150 | 0.5754 | 0.6124 | 0.5754 | 0.7585 |
| No log | 5.2414 | 152 | 0.6872 | 0.3417 | 0.6872 | 0.8290 |
| No log | 5.3103 | 154 | 0.6121 | 0.5247 | 0.6121 | 0.7824 |
| No log | 5.3793 | 156 | 0.4951 | 0.5489 | 0.4951 | 0.7037 |
| No log | 5.4483 | 158 | 0.5287 | 0.5639 | 0.5287 | 0.7271 |
| No log | 5.5172 | 160 | 0.5213 | 0.5111 | 0.5213 | 0.7220 |
| No log | 5.5862 | 162 | 0.5253 | 0.5367 | 0.5253 | 0.7248 |
| No log | 5.6552 | 164 | 0.5916 | 0.4819 | 0.5916 | 0.7691 |
| No log | 5.7241 | 166 | 0.5650 | 0.4997 | 0.5650 | 0.7517 |
| No log | 5.7931 | 168 | 0.5299 | 0.5485 | 0.5299 | 0.7279 |
| No log | 5.8621 | 170 | 0.5208 | 0.5071 | 0.5208 | 0.7217 |
| No log | 5.9310 | 172 | 0.5239 | 0.5753 | 0.5239 | 0.7238 |
| No log | 6.0 | 174 | 0.5274 | 0.5797 | 0.5274 | 0.7263 |
| No log | 6.0690 | 176 | 0.5140 | 0.5306 | 0.5140 | 0.7169 |
| No log | 6.1379 | 178 | 0.5301 | 0.5601 | 0.5301 | 0.7281 |
| No log | 6.2069 | 180 | 0.5053 | 0.5053 | 0.5053 | 0.7109 |
| No log | 6.2759 | 182 | 0.5258 | 0.6475 | 0.5258 | 0.7251 |
| No log | 6.3448 | 184 | 0.5574 | 0.5682 | 0.5574 | 0.7466 |
| No log | 6.4138 | 186 | 0.5489 | 0.5283 | 0.5489 | 0.7409 |
| No log | 6.4828 | 188 | 0.5211 | 0.5710 | 0.5211 | 0.7219 |
| No log | 6.5517 | 190 | 0.5282 | 0.5348 | 0.5282 | 0.7267 |
| No log | 6.6207 | 192 | 0.5445 | 0.5521 | 0.5445 | 0.7379 |
| No log | 6.6897 | 194 | 0.5495 | 0.5003 | 0.5495 | 0.7413 |
| No log | 6.7586 | 196 | 0.5627 | 0.4438 | 0.5627 | 0.7502 |
| No log | 6.8276 | 198 | 0.5909 | 0.4715 | 0.5909 | 0.7687 |
| No log | 6.8966 | 200 | 0.5663 | 0.4322 | 0.5663 | 0.7525 |
| No log | 6.9655 | 202 | 0.5733 | 0.4547 | 0.5733 | 0.7572 |
| No log | 7.0345 | 204 | 0.5922 | 0.4875 | 0.5922 | 0.7695 |
| No log | 7.1034 | 206 | 0.6002 | 0.4948 | 0.6002 | 0.7747 |
| No log | 7.1724 | 208 | 0.5489 | 0.4866 | 0.5489 | 0.7409 |
| No log | 7.2414 | 210 | 0.6062 | 0.4653 | 0.6062 | 0.7786 |
| No log | 7.3103 | 212 | 0.7187 | 0.3522 | 0.7187 | 0.8478 |
| No log | 7.3793 | 214 | 0.6351 | 0.4489 | 0.6351 | 0.7969 |
| No log | 7.4483 | 216 | 0.5834 | 0.4139 | 0.5834 | 0.7638 |
| No log | 7.5172 | 218 | 0.5453 | 0.4677 | 0.5453 | 0.7384 |
| No log | 7.5862 | 220 | 0.5442 | 0.4538 | 0.5442 | 0.7377 |
| No log | 7.6552 | 222 | 0.5449 | 0.3976 | 0.5449 | 0.7382 |
| No log | 7.7241 | 224 | 0.5254 | 0.4420 | 0.5254 | 0.7248 |
| No log | 7.7931 | 226 | 0.5080 | 0.4983 | 0.5080 | 0.7127 |
| No log | 7.8621 | 228 | 0.4932 | 0.5765 | 0.4932 | 0.7023 |
| No log | 7.9310 | 230 | 0.5498 | 0.5083 | 0.5498 | 0.7415 |
| No log | 8.0 | 232 | 0.5672 | 0.4482 | 0.5672 | 0.7531 |
| No log | 8.0690 | 234 | 0.4808 | 0.5633 | 0.4808 | 0.6934 |
| No log | 8.1379 | 236 | 0.4706 | 0.5736 | 0.4706 | 0.6860 |
| No log | 8.2069 | 238 | 0.4777 | 0.6029 | 0.4777 | 0.6912 |
| No log | 8.2759 | 240 | 0.4608 | 0.5732 | 0.4608 | 0.6788 |
| No log | 8.3448 | 242 | 0.4992 | 0.6308 | 0.4992 | 0.7065 |
| No log | 8.4138 | 244 | 0.5851 | 0.4501 | 0.5851 | 0.7649 |
| No log | 8.4828 | 246 | 0.5326 | 0.6074 | 0.5326 | 0.7298 |
| No log | 8.5517 | 248 | 0.4626 | 0.5930 | 0.4626 | 0.6802 |
| No log | 8.6207 | 250 | 0.4646 | 0.6264 | 0.4646 | 0.6816 |
| No log | 8.6897 | 252 | 0.4635 | 0.6303 | 0.4635 | 0.6808 |
| No log | 8.7586 | 254 | 0.4647 | 0.5404 | 0.4647 | 0.6817 |
| No log | 8.8276 | 256 | 0.4728 | 0.6068 | 0.4728 | 0.6876 |
| No log | 8.8966 | 258 | 0.4694 | 0.5782 | 0.4694 | 0.6852 |
| No log | 8.9655 | 260 | 0.4737 | 0.5286 | 0.4737 | 0.6883 |
| No log | 9.0345 | 262 | 0.4782 | 0.5189 | 0.4782 | 0.6915 |
| No log | 9.1034 | 264 | 0.4807 | 0.5367 | 0.4807 | 0.6933 |
| No log | 9.1724 | 266 | 0.4854 | 0.5836 | 0.4854 | 0.6967 |
| No log | 9.2414 | 268 | 0.4836 | 0.5252 | 0.4836 | 0.6954 |
| No log | 9.3103 | 270 | 0.5542 | 0.5621 | 0.5542 | 0.7445 |
| No log | 9.3793 | 272 | 0.6055 | 0.5373 | 0.6055 | 0.7781 |
| No log | 9.4483 | 274 | 0.5578 | 0.6004 | 0.5578 | 0.7469 |
| No log | 9.5172 | 276 | 0.5230 | 0.5662 | 0.5230 | 0.7232 |
| No log | 9.5862 | 278 | 0.5696 | 0.4920 | 0.5696 | 0.7547 |
| No log | 9.6552 | 280 | 0.5503 | 0.4703 | 0.5503 | 0.7418 |
| No log | 9.7241 | 282 | 0.5143 | 0.5472 | 0.5143 | 0.7172 |
| No log | 9.7931 | 284 | 0.5336 | 0.5714 | 0.5336 | 0.7305 |
| No log | 9.8621 | 286 | 0.5432 | 0.5555 | 0.5432 | 0.7370 |
| No log | 9.9310 | 288 | 0.5246 | 0.5475 | 0.5246 | 0.7243 |
| No log | 10.0 | 290 | 0.5253 | 0.5472 | 0.5253 | 0.7248 |
| No log | 10.0690 | 292 | 0.5338 | 0.5472 | 0.5338 | 0.7306 |
| No log | 10.1379 | 294 | 0.5454 | 0.5195 | 0.5454 | 0.7385 |
| No log | 10.2069 | 296 | 0.5524 | 0.5177 | 0.5524 | 0.7433 |
| No log | 10.2759 | 298 | 0.5330 | 0.4964 | 0.5330 | 0.7301 |
| No log | 10.3448 | 300 | 0.5196 | 0.5625 | 0.5196 | 0.7209 |
| No log | 10.4138 | 302 | 0.5352 | 0.5428 | 0.5352 | 0.7316 |
| No log | 10.4828 | 304 | 0.5466 | 0.5628 | 0.5466 | 0.7393 |
| No log | 10.5517 | 306 | 0.5410 | 0.5628 | 0.5410 | 0.7355 |
| No log | 10.6207 | 308 | 0.5253 | 0.6158 | 0.5253 | 0.7248 |
| No log | 10.6897 | 310 | 0.5189 | 0.5632 | 0.5189 | 0.7203 |
| No log | 10.7586 | 312 | 0.5177 | 0.6060 | 0.5177 | 0.7195 |
| No log | 10.8276 | 314 | 0.5657 | 0.5650 | 0.5657 | 0.7521 |
| No log | 10.8966 | 316 | 0.5621 | 0.5947 | 0.5621 | 0.7497 |
| No log | 10.9655 | 318 | 0.5347 | 0.5476 | 0.5347 | 0.7312 |
| No log | 11.0345 | 320 | 0.5227 | 0.5323 | 0.5227 | 0.7230 |
| No log | 11.1034 | 322 | 0.5235 | 0.5457 | 0.5235 | 0.7235 |
| No log | 11.1724 | 324 | 0.5292 | 0.5324 | 0.5292 | 0.7274 |
| No log | 11.2414 | 326 | 0.5195 | 0.5556 | 0.5195 | 0.7208 |
| No log | 11.3103 | 328 | 0.5110 | 0.5056 | 0.5110 | 0.7148 |
| No log | 11.3793 | 330 | 0.5589 | 0.5086 | 0.5589 | 0.7476 |
| No log | 11.4483 | 332 | 0.5460 | 0.5327 | 0.5460 | 0.7390 |
| No log | 11.5172 | 334 | 0.5113 | 0.4808 | 0.5113 | 0.7151 |
| No log | 11.5862 | 336 | 0.5127 | 0.5683 | 0.5127 | 0.7160 |
| No log | 11.6552 | 338 | 0.6561 | 0.5436 | 0.6561 | 0.8100 |
| No log | 11.7241 | 340 | 0.7029 | 0.4427 | 0.7029 | 0.8384 |
| No log | 11.7931 | 342 | 0.6301 | 0.5160 | 0.6301 | 0.7938 |
| No log | 11.8621 | 344 | 0.5308 | 0.5663 | 0.5308 | 0.7286 |
| No log | 11.9310 | 346 | 0.5179 | 0.5413 | 0.5179 | 0.7196 |
| No log | 12.0 | 348 | 0.5256 | 0.5076 | 0.5256 | 0.7250 |
| No log | 12.0690 | 350 | 0.5127 | 0.5076 | 0.5127 | 0.7161 |
| No log | 12.1379 | 352 | 0.5055 | 0.4768 | 0.5055 | 0.7110 |
| No log | 12.2069 | 354 | 0.5091 | 0.5379 | 0.5091 | 0.7135 |
| No log | 12.2759 | 356 | 0.5022 | 0.5022 | 0.5022 | 0.7087 |
| No log | 12.3448 | 358 | 0.4965 | 0.5095 | 0.4965 | 0.7046 |
| No log | 12.4138 | 360 | 0.4909 | 0.5095 | 0.4909 | 0.7006 |
| No log | 12.4828 | 362 | 0.4902 | 0.5095 | 0.4902 | 0.7001 |
| No log | 12.5517 | 364 | 0.5033 | 0.5577 | 0.5033 | 0.7094 |
| No log | 12.6207 | 366 | 0.5087 | 0.6087 | 0.5087 | 0.7132 |
| No log | 12.6897 | 368 | 0.5233 | 0.5817 | 0.5233 | 0.7234 |
| No log | 12.7586 | 370 | 0.5080 | 0.5723 | 0.5080 | 0.7128 |
| No log | 12.8276 | 372 | 0.5067 | 0.6039 | 0.5067 | 0.7118 |
| No log | 12.8966 | 374 | 0.5223 | 0.5714 | 0.5223 | 0.7227 |
| No log | 12.9655 | 376 | 0.5218 | 0.5714 | 0.5218 | 0.7224 |
| No log | 13.0345 | 378 | 0.5264 | 0.5714 | 0.5264 | 0.7256 |
| No log | 13.1034 | 380 | 0.5296 | 0.5714 | 0.5296 | 0.7278 |
| No log | 13.1724 | 382 | 0.5155 | 0.5472 | 0.5155 | 0.7180 |
| No log | 13.2414 | 384 | 0.5269 | 0.5468 | 0.5269 | 0.7259 |
| No log | 13.3103 | 386 | 0.5214 | 0.5131 | 0.5214 | 0.7220 |
| No log | 13.3793 | 388 | 0.5173 | 0.4888 | 0.5173 | 0.7192 |
| No log | 13.4483 | 390 | 0.5210 | 0.5432 | 0.5210 | 0.7218 |
| No log | 13.5172 | 392 | 0.5260 | 0.4825 | 0.5260 | 0.7252 |
| No log | 13.5862 | 394 | 0.5388 | 0.4888 | 0.5388 | 0.7340 |
| No log | 13.6552 | 396 | 0.5447 | 0.4538 | 0.5447 | 0.7381 |
| No log | 13.7241 | 398 | 0.5405 | 0.4136 | 0.5405 | 0.7352 |
| No log | 13.7931 | 400 | 0.5420 | 0.4136 | 0.5420 | 0.7362 |
| No log | 13.8621 | 402 | 0.5380 | 0.4136 | 0.5380 | 0.7335 |
| No log | 13.9310 | 404 | 0.5321 | 0.4361 | 0.5321 | 0.7295 |
| No log | 14.0 | 406 | 0.5367 | 0.4136 | 0.5367 | 0.7326 |
| No log | 14.0690 | 408 | 0.5371 | 0.4898 | 0.5371 | 0.7328 |
| No log | 14.1379 | 410 | 0.5437 | 0.5079 | 0.5437 | 0.7374 |
| No log | 14.2069 | 412 | 0.5536 | 0.5171 | 0.5536 | 0.7441 |
| No log | 14.2759 | 414 | 0.5625 | 0.4656 | 0.5625 | 0.7500 |
| No log | 14.3448 | 416 | 0.5520 | 0.3228 | 0.5520 | 0.7430 |
| No log | 14.4138 | 418 | 0.5582 | 0.3953 | 0.5582 | 0.7471 |
| No log | 14.4828 | 420 | 0.5563 | 0.3523 | 0.5563 | 0.7458 |
| No log | 14.5517 | 422 | 0.5553 | 0.4249 | 0.5553 | 0.7452 |
| No log | 14.6207 | 424 | 0.5499 | 0.5010 | 0.5499 | 0.7416 |
| No log | 14.6897 | 426 | 0.5510 | 0.5510 | 0.5510 | 0.7423 |
| No log | 14.7586 | 428 | 0.5220 | 0.5286 | 0.5220 | 0.7225 |
| No log | 14.8276 | 430 | 0.5206 | 0.4788 | 0.5206 | 0.7215 |
| No log | 14.8966 | 432 | 0.5200 | 0.4788 | 0.5200 | 0.7211 |
| No log | 14.9655 | 434 | 0.5231 | 0.5061 | 0.5231 | 0.7232 |
| No log | 15.0345 | 436 | 0.5439 | 0.5747 | 0.5439 | 0.7375 |
| No log | 15.1034 | 438 | 0.5283 | 0.5171 | 0.5283 | 0.7269 |
| No log | 15.1724 | 440 | 0.5114 | 0.5357 | 0.5114 | 0.7151 |
| No log | 15.2414 | 442 | 0.5072 | 0.5388 | 0.5072 | 0.7122 |
| No log | 15.3103 | 444 | 0.5297 | 0.5639 | 0.5297 | 0.7278 |
| No log | 15.3793 | 446 | 0.5305 | 0.5677 | 0.5305 | 0.7284 |
| No log | 15.4483 | 448 | 0.4913 | 0.5692 | 0.4913 | 0.7009 |
| No log | 15.5172 | 450 | 0.4642 | 0.6254 | 0.4642 | 0.6814 |
| No log | 15.5862 | 452 | 0.4634 | 0.5714 | 0.4634 | 0.6807 |
| No log | 15.6552 | 454 | 0.4604 | 0.5930 | 0.4604 | 0.6786 |
| No log | 15.7241 | 456 | 0.4711 | 0.6201 | 0.4711 | 0.6864 |
| No log | 15.7931 | 458 | 0.5257 | 0.5452 | 0.5257 | 0.7251 |
| No log | 15.8621 | 460 | 0.5762 | 0.5080 | 0.5762 | 0.7591 |
| No log | 15.9310 | 462 | 0.5396 | 0.5497 | 0.5396 | 0.7346 |
| No log | 16.0 | 464 | 0.5387 | 0.4911 | 0.5387 | 0.7340 |
| No log | 16.0690 | 466 | 0.5412 | 0.4502 | 0.5412 | 0.7356 |
| No log | 16.1379 | 468 | 0.5365 | 0.4409 | 0.5365 | 0.7325 |
| No log | 16.2069 | 470 | 0.5256 | 0.5270 | 0.5256 | 0.7250 |
| No log | 16.2759 | 472 | 0.5164 | 0.5018 | 0.5164 | 0.7186 |
| No log | 16.3448 | 474 | 0.5114 | 0.5182 | 0.5114 | 0.7152 |
| No log | 16.4138 | 476 | 0.5187 | 0.5413 | 0.5187 | 0.7202 |
| No log | 16.4828 | 478 | 0.5411 | 0.4663 | 0.5411 | 0.7356 |
| No log | 16.5517 | 480 | 0.5324 | 0.4925 | 0.5324 | 0.7297 |
| No log | 16.6207 | 482 | 0.5028 | 0.5248 | 0.5028 | 0.7091 |
| No log | 16.6897 | 484 | 0.5006 | 0.5151 | 0.5006 | 0.7075 |
| No log | 16.7586 | 486 | 0.4984 | 0.4591 | 0.4984 | 0.7060 |
| No log | 16.8276 | 488 | 0.4956 | 0.5556 | 0.4956 | 0.7040 |
| No log | 16.8966 | 490 | 0.5033 | 0.5397 | 0.5033 | 0.7095 |
| No log | 16.9655 | 492 | 0.4972 | 0.5044 | 0.4972 | 0.7051 |
| No log | 17.0345 | 494 | 0.5001 | 0.5044 | 0.5001 | 0.7072 |
| No log | 17.1034 | 496 | 0.4931 | 0.4774 | 0.4931 | 0.7022 |
| No log | 17.1724 | 498 | 0.5000 | 0.4888 | 0.5000 | 0.7071 |
| 0.2895 | 17.2414 | 500 | 0.5421 | 0.5452 | 0.5421 | 0.7362 |
| 0.2895 | 17.3103 | 502 | 0.5603 | 0.5452 | 0.5603 | 0.7485 |
| 0.2895 | 17.3793 | 504 | 0.5265 | 0.4816 | 0.5265 | 0.7256 |
| 0.2895 | 17.4483 | 506 | 0.5124 | 0.5640 | 0.5124 | 0.7158 |
| 0.2895 | 17.5172 | 508 | 0.5244 | 0.4638 | 0.5244 | 0.7241 |
| 0.2895 | 17.5862 | 510 | 0.5392 | 0.5627 | 0.5392 | 0.7343 |
| 0.2895 | 17.6552 | 512 | 0.5212 | 0.5057 | 0.5212 | 0.7219 |
| 0.2895 | 17.7241 | 514 | 0.5197 | 0.5362 | 0.5197 | 0.7209 |
| 0.2895 | 17.7931 | 516 | 0.5865 | 0.5045 | 0.5865 | 0.7659 |
| 0.2895 | 17.8621 | 518 | 0.5954 | 0.5045 | 0.5954 | 0.7716 |
| 0.2895 | 17.9310 | 520 | 0.5296 | 0.4997 | 0.5296 | 0.7277 |
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_usingALLEssays_FineTuningAraBERT_run1_AugV5_k8_task7_organization
Base model
aubmindlab/bert-base-arabertv02