Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k8_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k8_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k8_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k8_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k8_task5_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k8_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: 0.8286
- Qwk: 0.4802
- Mse: 0.8286
- Rmse: 0.9103
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 | 0.0556 | 2 | 4.1120 | 0.0078 | 4.1120 | 2.0278 |
| No log | 0.1111 | 4 | 2.4977 | -0.0687 | 2.4977 | 1.5804 |
| No log | 0.1667 | 6 | 2.6222 | -0.0130 | 2.6222 | 1.6193 |
| No log | 0.2222 | 8 | 1.7028 | -0.0244 | 1.7028 | 1.3049 |
| No log | 0.2778 | 10 | 1.2321 | 0.0574 | 1.2321 | 1.1100 |
| No log | 0.3333 | 12 | 1.3470 | -0.0091 | 1.3470 | 1.1606 |
| No log | 0.3889 | 14 | 1.3552 | 0.0234 | 1.3552 | 1.1641 |
| No log | 0.4444 | 16 | 1.4589 | 0.0217 | 1.4589 | 1.2078 |
| No log | 0.5 | 18 | 1.3444 | 0.0274 | 1.3444 | 1.1595 |
| No log | 0.5556 | 20 | 1.2476 | 0.0325 | 1.2476 | 1.1169 |
| No log | 0.6111 | 22 | 1.1694 | 0.0792 | 1.1694 | 1.0814 |
| No log | 0.6667 | 24 | 1.1814 | 0.1698 | 1.1814 | 1.0869 |
| No log | 0.7222 | 26 | 1.4262 | 0.1838 | 1.4262 | 1.1943 |
| No log | 0.7778 | 28 | 1.3601 | 0.2459 | 1.3601 | 1.1662 |
| No log | 0.8333 | 30 | 1.0516 | 0.3988 | 1.0516 | 1.0255 |
| No log | 0.8889 | 32 | 0.9069 | 0.3795 | 0.9069 | 0.9523 |
| No log | 0.9444 | 34 | 0.9086 | 0.3265 | 0.9086 | 0.9532 |
| No log | 1.0 | 36 | 1.0762 | 0.2969 | 1.0762 | 1.0374 |
| No log | 1.0556 | 38 | 1.1284 | 0.2547 | 1.1284 | 1.0623 |
| No log | 1.1111 | 40 | 1.0022 | 0.2567 | 1.0022 | 1.0011 |
| No log | 1.1667 | 42 | 0.8823 | 0.3583 | 0.8823 | 0.9393 |
| No log | 1.2222 | 44 | 0.8902 | 0.3626 | 0.8902 | 0.9435 |
| No log | 1.2778 | 46 | 1.0366 | 0.2897 | 1.0366 | 1.0181 |
| No log | 1.3333 | 48 | 1.0447 | 0.2897 | 1.0447 | 1.0221 |
| No log | 1.3889 | 50 | 0.9120 | 0.3804 | 0.9120 | 0.9550 |
| No log | 1.4444 | 52 | 0.9452 | 0.2923 | 0.9452 | 0.9722 |
| No log | 1.5 | 54 | 1.1527 | 0.3126 | 1.1527 | 1.0736 |
| No log | 1.5556 | 56 | 1.1116 | 0.3180 | 1.1116 | 1.0543 |
| No log | 1.6111 | 58 | 0.9895 | 0.3392 | 0.9895 | 0.9947 |
| No log | 1.6667 | 60 | 1.0267 | 0.2147 | 1.0267 | 1.0133 |
| No log | 1.7222 | 62 | 1.0792 | 0.1859 | 1.0792 | 1.0389 |
| No log | 1.7778 | 64 | 1.0894 | 0.2521 | 1.0894 | 1.0437 |
| No log | 1.8333 | 66 | 1.2588 | 0.3409 | 1.2588 | 1.1219 |
| No log | 1.8889 | 68 | 1.3049 | 0.2925 | 1.3049 | 1.1423 |
| No log | 1.9444 | 70 | 1.1248 | 0.3340 | 1.1248 | 1.0606 |
| No log | 2.0 | 72 | 1.0768 | 0.2408 | 1.0768 | 1.0377 |
| No log | 2.0556 | 74 | 1.2053 | 0.1189 | 1.2053 | 1.0978 |
| No log | 2.1111 | 76 | 1.1246 | 0.2510 | 1.1246 | 1.0605 |
| No log | 2.1667 | 78 | 0.9507 | 0.4428 | 0.9507 | 0.9750 |
| No log | 2.2222 | 80 | 0.9176 | 0.3095 | 0.9176 | 0.9579 |
| No log | 2.2778 | 82 | 1.2219 | 0.3646 | 1.2219 | 1.1054 |
| No log | 2.3333 | 84 | 1.3634 | 0.3375 | 1.3634 | 1.1676 |
| No log | 2.3889 | 86 | 1.1347 | 0.3951 | 1.1347 | 1.0652 |
| No log | 2.4444 | 88 | 0.9088 | 0.3448 | 0.9088 | 0.9533 |
| No log | 2.5 | 90 | 0.8523 | 0.4234 | 0.8523 | 0.9232 |
| No log | 2.5556 | 92 | 0.8279 | 0.4610 | 0.8279 | 0.9099 |
| No log | 2.6111 | 94 | 0.8124 | 0.4345 | 0.8124 | 0.9014 |
| No log | 2.6667 | 96 | 0.8006 | 0.4764 | 0.8006 | 0.8947 |
| No log | 2.7222 | 98 | 0.8068 | 0.5171 | 0.8068 | 0.8982 |
| No log | 2.7778 | 100 | 0.8254 | 0.5171 | 0.8254 | 0.9085 |
| No log | 2.8333 | 102 | 0.8546 | 0.4304 | 0.8546 | 0.9244 |
| No log | 2.8889 | 104 | 0.8725 | 0.4097 | 0.8725 | 0.9341 |
| No log | 2.9444 | 106 | 1.0143 | 0.3717 | 1.0143 | 1.0071 |
| No log | 3.0 | 108 | 1.0979 | 0.3488 | 1.0979 | 1.0478 |
| No log | 3.0556 | 110 | 0.9755 | 0.3897 | 0.9755 | 0.9877 |
| No log | 3.1111 | 112 | 0.8822 | 0.4304 | 0.8822 | 0.9392 |
| No log | 3.1667 | 114 | 1.0355 | 0.4511 | 1.0355 | 1.0176 |
| No log | 3.2222 | 116 | 0.9954 | 0.4726 | 0.9954 | 0.9977 |
| No log | 3.2778 | 118 | 0.8737 | 0.4592 | 0.8737 | 0.9347 |
| No log | 3.3333 | 120 | 0.8423 | 0.4507 | 0.8423 | 0.9178 |
| No log | 3.3889 | 122 | 0.8685 | 0.3804 | 0.8685 | 0.9319 |
| No log | 3.4444 | 124 | 0.8450 | 0.4336 | 0.8450 | 0.9192 |
| No log | 3.5 | 126 | 0.8549 | 0.3656 | 0.8549 | 0.9246 |
| No log | 3.5556 | 128 | 0.9698 | 0.3277 | 0.9698 | 0.9848 |
| No log | 3.6111 | 130 | 1.1000 | 0.3545 | 1.1000 | 1.0488 |
| No log | 3.6667 | 132 | 1.0278 | 0.4296 | 1.0278 | 1.0138 |
| No log | 3.7222 | 134 | 0.8618 | 0.4932 | 0.8618 | 0.9283 |
| No log | 3.7778 | 136 | 0.9190 | 0.3725 | 0.9190 | 0.9586 |
| No log | 3.8333 | 138 | 0.9844 | 0.4085 | 0.9844 | 0.9922 |
| No log | 3.8889 | 140 | 0.9001 | 0.3725 | 0.9001 | 0.9488 |
| No log | 3.9444 | 142 | 0.9205 | 0.4775 | 0.9205 | 0.9595 |
| No log | 4.0 | 144 | 1.1441 | 0.3782 | 1.1441 | 1.0696 |
| No log | 4.0556 | 146 | 1.2383 | 0.3780 | 1.2383 | 1.1128 |
| No log | 4.1111 | 148 | 1.0834 | 0.3212 | 1.0834 | 1.0409 |
| No log | 4.1667 | 150 | 0.8842 | 0.3544 | 0.8842 | 0.9403 |
| No log | 4.2222 | 152 | 0.9005 | 0.4562 | 0.9005 | 0.9490 |
| No log | 4.2778 | 154 | 1.0035 | 0.3913 | 1.0035 | 1.0018 |
| No log | 4.3333 | 156 | 0.9715 | 0.3913 | 0.9715 | 0.9856 |
| No log | 4.3889 | 158 | 0.8515 | 0.4450 | 0.8515 | 0.9228 |
| No log | 4.4444 | 160 | 0.7986 | 0.4388 | 0.7986 | 0.8936 |
| No log | 4.5 | 162 | 0.8233 | 0.4573 | 0.8233 | 0.9074 |
| No log | 4.5556 | 164 | 0.8274 | 0.5074 | 0.8274 | 0.9096 |
| No log | 4.6111 | 166 | 0.8074 | 0.5402 | 0.8074 | 0.8986 |
| No log | 4.6667 | 168 | 0.8550 | 0.4359 | 0.8550 | 0.9246 |
| No log | 4.7222 | 170 | 0.8863 | 0.4115 | 0.8863 | 0.9414 |
| No log | 4.7778 | 172 | 0.8384 | 0.4630 | 0.8384 | 0.9156 |
| No log | 4.8333 | 174 | 0.8161 | 0.4883 | 0.8161 | 0.9034 |
| No log | 4.8889 | 176 | 0.8113 | 0.5131 | 0.8113 | 0.9007 |
| No log | 4.9444 | 178 | 0.8052 | 0.5131 | 0.8052 | 0.8973 |
| No log | 5.0 | 180 | 0.8178 | 0.4873 | 0.8178 | 0.9043 |
| No log | 5.0556 | 182 | 0.8231 | 0.4759 | 0.8231 | 0.9072 |
| No log | 5.1111 | 184 | 0.8340 | 0.4759 | 0.8340 | 0.9132 |
| No log | 5.1667 | 186 | 0.8585 | 0.4743 | 0.8585 | 0.9265 |
| No log | 5.2222 | 188 | 0.8673 | 0.4743 | 0.8673 | 0.9313 |
| No log | 5.2778 | 190 | 0.8583 | 0.4175 | 0.8583 | 0.9264 |
| No log | 5.3333 | 192 | 0.8612 | 0.4534 | 0.8612 | 0.9280 |
| No log | 5.3889 | 194 | 0.8594 | 0.4757 | 0.8594 | 0.9271 |
| No log | 5.4444 | 196 | 0.8478 | 0.4630 | 0.8478 | 0.9208 |
| No log | 5.5 | 198 | 0.8437 | 0.4483 | 0.8437 | 0.9185 |
| No log | 5.5556 | 200 | 0.8273 | 0.3702 | 0.8273 | 0.9096 |
| No log | 5.6111 | 202 | 0.8083 | 0.4251 | 0.8083 | 0.8990 |
| No log | 5.6667 | 204 | 0.8077 | 0.4269 | 0.8077 | 0.8987 |
| No log | 5.7222 | 206 | 0.8007 | 0.4269 | 0.8007 | 0.8948 |
| No log | 5.7778 | 208 | 0.8045 | 0.4405 | 0.8045 | 0.8970 |
| No log | 5.8333 | 210 | 0.8239 | 0.4499 | 0.8239 | 0.9077 |
| No log | 5.8889 | 212 | 0.8377 | 0.4499 | 0.8377 | 0.9152 |
| No log | 5.9444 | 214 | 0.8345 | 0.4629 | 0.8345 | 0.9135 |
| No log | 6.0 | 216 | 0.8926 | 0.3988 | 0.8926 | 0.9448 |
| No log | 6.0556 | 218 | 1.0754 | 0.3486 | 1.0754 | 1.0370 |
| No log | 6.1111 | 220 | 1.0448 | 0.3505 | 1.0448 | 1.0221 |
| No log | 6.1667 | 222 | 0.9034 | 0.3408 | 0.9034 | 0.9505 |
| No log | 6.2222 | 224 | 0.9236 | 0.4491 | 0.9236 | 0.9610 |
| No log | 6.2778 | 226 | 0.9157 | 0.3992 | 0.9157 | 0.9569 |
| No log | 6.3333 | 228 | 0.9033 | 0.3915 | 0.9033 | 0.9504 |
| No log | 6.3889 | 230 | 0.9029 | 0.3685 | 0.9029 | 0.9502 |
| No log | 6.4444 | 232 | 0.9093 | 0.4974 | 0.9093 | 0.9535 |
| No log | 6.5 | 234 | 0.9274 | 0.4491 | 0.9274 | 0.9630 |
| No log | 6.5556 | 236 | 0.9227 | 0.3790 | 0.9227 | 0.9606 |
| No log | 6.6111 | 238 | 0.9088 | 0.4006 | 0.9088 | 0.9533 |
| No log | 6.6667 | 240 | 0.8898 | 0.4378 | 0.8898 | 0.9433 |
| No log | 6.7222 | 242 | 0.9022 | 0.4110 | 0.9022 | 0.9498 |
| No log | 6.7778 | 244 | 0.9209 | 0.3404 | 0.9209 | 0.9596 |
| No log | 6.8333 | 246 | 0.9457 | 0.3229 | 0.9457 | 0.9725 |
| No log | 6.8889 | 248 | 0.9323 | 0.3107 | 0.9323 | 0.9656 |
| No log | 6.9444 | 250 | 0.8983 | 0.3250 | 0.8983 | 0.9478 |
| No log | 7.0 | 252 | 0.8945 | 0.3250 | 0.8945 | 0.9458 |
| No log | 7.0556 | 254 | 0.8876 | 0.3445 | 0.8876 | 0.9421 |
| No log | 7.1111 | 256 | 0.8968 | 0.4030 | 0.8968 | 0.9470 |
| No log | 7.1667 | 258 | 0.9448 | 0.3933 | 0.9448 | 0.9720 |
| No log | 7.2222 | 260 | 0.9183 | 0.4198 | 0.9183 | 0.9583 |
| No log | 7.2778 | 262 | 0.8974 | 0.3818 | 0.8974 | 0.9473 |
| No log | 7.3333 | 264 | 0.8930 | 0.3552 | 0.8930 | 0.9450 |
| No log | 7.3889 | 266 | 0.9008 | 0.3860 | 0.9008 | 0.9491 |
| No log | 7.4444 | 268 | 0.9749 | 0.4071 | 0.9749 | 0.9873 |
| No log | 7.5 | 270 | 1.0265 | 0.4334 | 1.0265 | 1.0132 |
| No log | 7.5556 | 272 | 0.9696 | 0.4085 | 0.9696 | 0.9847 |
| No log | 7.6111 | 274 | 0.9833 | 0.4085 | 0.9833 | 0.9916 |
| No log | 7.6667 | 276 | 0.9320 | 0.4071 | 0.9320 | 0.9654 |
| No log | 7.7222 | 278 | 0.8606 | 0.3821 | 0.8606 | 0.9277 |
| No log | 7.7778 | 280 | 0.8576 | 0.3902 | 0.8576 | 0.9261 |
| No log | 7.8333 | 282 | 0.8548 | 0.3902 | 0.8548 | 0.9246 |
| No log | 7.8889 | 284 | 0.8601 | 0.3637 | 0.8601 | 0.9274 |
| No log | 7.9444 | 286 | 0.9077 | 0.4071 | 0.9077 | 0.9527 |
| No log | 8.0 | 288 | 0.9290 | 0.3671 | 0.9290 | 0.9638 |
| No log | 8.0556 | 290 | 0.8822 | 0.4379 | 0.8822 | 0.9392 |
| No log | 8.1111 | 292 | 0.8578 | 0.4429 | 0.8578 | 0.9262 |
| No log | 8.1667 | 294 | 0.8501 | 0.4534 | 0.8501 | 0.9220 |
| No log | 8.2222 | 296 | 0.8573 | 0.4313 | 0.8573 | 0.9259 |
| No log | 8.2778 | 298 | 0.8689 | 0.4186 | 0.8689 | 0.9321 |
| No log | 8.3333 | 300 | 0.8515 | 0.4405 | 0.8515 | 0.9228 |
| No log | 8.3889 | 302 | 0.8713 | 0.3940 | 0.8713 | 0.9335 |
| No log | 8.4444 | 304 | 0.9026 | 0.3330 | 0.9026 | 0.9501 |
| No log | 8.5 | 306 | 0.9075 | 0.3973 | 0.9075 | 0.9526 |
| No log | 8.5556 | 308 | 0.8599 | 0.4280 | 0.8599 | 0.9273 |
| No log | 8.6111 | 310 | 0.8790 | 0.4285 | 0.8790 | 0.9376 |
| No log | 8.6667 | 312 | 0.8590 | 0.4245 | 0.8590 | 0.9268 |
| No log | 8.7222 | 314 | 0.8431 | 0.5112 | 0.8431 | 0.9182 |
| No log | 8.7778 | 316 | 0.8495 | 0.4273 | 0.8495 | 0.9217 |
| No log | 8.8333 | 318 | 0.8891 | 0.3921 | 0.8891 | 0.9429 |
| No log | 8.8889 | 320 | 0.9714 | 0.3883 | 0.9714 | 0.9856 |
| No log | 8.9444 | 322 | 0.9772 | 0.3883 | 0.9772 | 0.9885 |
| No log | 9.0 | 324 | 0.9357 | 0.4421 | 0.9357 | 0.9673 |
| No log | 9.0556 | 326 | 0.9236 | 0.4476 | 0.9236 | 0.9611 |
| No log | 9.1111 | 328 | 0.9292 | 0.4143 | 0.9292 | 0.9640 |
| No log | 9.1667 | 330 | 0.9262 | 0.4143 | 0.9262 | 0.9624 |
| No log | 9.2222 | 332 | 0.9902 | 0.3794 | 0.9902 | 0.9951 |
| No log | 9.2778 | 334 | 1.0358 | 0.3636 | 1.0358 | 1.0178 |
| No log | 9.3333 | 336 | 0.9859 | 0.4180 | 0.9859 | 0.9929 |
| No log | 9.3889 | 338 | 0.9144 | 0.4335 | 0.9144 | 0.9563 |
| No log | 9.4444 | 340 | 0.8772 | 0.3236 | 0.8772 | 0.9366 |
| No log | 9.5 | 342 | 0.8693 | 0.3236 | 0.8693 | 0.9323 |
| No log | 9.5556 | 344 | 0.8885 | 0.4220 | 0.8885 | 0.9426 |
| No log | 9.6111 | 346 | 0.9527 | 0.4465 | 0.9527 | 0.9761 |
| No log | 9.6667 | 348 | 1.0063 | 0.4666 | 1.0063 | 1.0031 |
| No log | 9.7222 | 350 | 0.9968 | 0.4666 | 0.9968 | 0.9984 |
| No log | 9.7778 | 352 | 1.0222 | 0.4310 | 1.0222 | 1.0110 |
| No log | 9.8333 | 354 | 1.0682 | 0.4310 | 1.0682 | 1.0335 |
| No log | 9.8889 | 356 | 1.0074 | 0.4036 | 1.0074 | 1.0037 |
| No log | 9.9444 | 358 | 0.9354 | 0.4318 | 0.9354 | 0.9672 |
| No log | 10.0 | 360 | 0.8618 | 0.3272 | 0.8618 | 0.9283 |
| No log | 10.0556 | 362 | 0.8541 | 0.3272 | 0.8541 | 0.9242 |
| No log | 10.1111 | 364 | 0.8787 | 0.3780 | 0.8787 | 0.9374 |
| No log | 10.1667 | 366 | 0.8959 | 0.3760 | 0.8959 | 0.9465 |
| No log | 10.2222 | 368 | 0.8628 | 0.3393 | 0.8628 | 0.9289 |
| No log | 10.2778 | 370 | 0.8304 | 0.3414 | 0.8304 | 0.9113 |
| No log | 10.3333 | 372 | 0.7999 | 0.4151 | 0.7999 | 0.8944 |
| No log | 10.3889 | 374 | 0.7913 | 0.4411 | 0.7913 | 0.8895 |
| No log | 10.4444 | 376 | 0.8317 | 0.4159 | 0.8317 | 0.9120 |
| No log | 10.5 | 378 | 0.8518 | 0.3826 | 0.8518 | 0.9229 |
| No log | 10.5556 | 380 | 0.8349 | 0.4507 | 0.8349 | 0.9138 |
| No log | 10.6111 | 382 | 0.8570 | 0.4257 | 0.8570 | 0.9257 |
| No log | 10.6667 | 384 | 0.8851 | 0.4075 | 0.8851 | 0.9408 |
| No log | 10.7222 | 386 | 0.8657 | 0.3563 | 0.8657 | 0.9304 |
| No log | 10.7778 | 388 | 0.8627 | 0.3583 | 0.8627 | 0.9288 |
| No log | 10.8333 | 390 | 0.8582 | 0.3721 | 0.8582 | 0.9264 |
| No log | 10.8889 | 392 | 0.8531 | 0.3721 | 0.8531 | 0.9237 |
| No log | 10.9444 | 394 | 0.8580 | 0.3702 | 0.8580 | 0.9263 |
| No log | 11.0 | 396 | 0.8827 | 0.3424 | 0.8827 | 0.9395 |
| No log | 11.0556 | 398 | 0.9064 | 0.4310 | 0.9064 | 0.9520 |
| No log | 11.1111 | 400 | 0.9074 | 0.4335 | 0.9074 | 0.9526 |
| No log | 11.1667 | 402 | 0.8877 | 0.3974 | 0.8877 | 0.9422 |
| No log | 11.2222 | 404 | 0.8809 | 0.3861 | 0.8809 | 0.9386 |
| No log | 11.2778 | 406 | 0.8852 | 0.4023 | 0.8852 | 0.9409 |
| No log | 11.3333 | 408 | 0.8995 | 0.4023 | 0.8995 | 0.9484 |
| No log | 11.3889 | 410 | 0.9268 | 0.4250 | 0.9268 | 0.9627 |
| No log | 11.4444 | 412 | 0.9223 | 0.4343 | 0.9223 | 0.9603 |
| No log | 11.5 | 414 | 0.8802 | 0.4220 | 0.8802 | 0.9382 |
| No log | 11.5556 | 416 | 0.8513 | 0.4227 | 0.8513 | 0.9227 |
| No log | 11.6111 | 418 | 0.8577 | 0.4843 | 0.8577 | 0.9261 |
| No log | 11.6667 | 420 | 0.8967 | 0.4250 | 0.8967 | 0.9469 |
| No log | 11.7222 | 422 | 0.9496 | 0.4326 | 0.9496 | 0.9745 |
| No log | 11.7778 | 424 | 0.9349 | 0.4326 | 0.9349 | 0.9669 |
| No log | 11.8333 | 426 | 0.8409 | 0.5580 | 0.8409 | 0.9170 |
| No log | 11.8889 | 428 | 0.8167 | 0.4524 | 0.8167 | 0.9037 |
| No log | 11.9444 | 430 | 0.8265 | 0.4304 | 0.8265 | 0.9091 |
| No log | 12.0 | 432 | 0.8188 | 0.4675 | 0.8188 | 0.9049 |
| No log | 12.0556 | 434 | 0.8178 | 0.4659 | 0.8178 | 0.9043 |
| No log | 12.1111 | 436 | 0.8218 | 0.4914 | 0.8218 | 0.9065 |
| No log | 12.1667 | 438 | 0.8197 | 0.4893 | 0.8197 | 0.9054 |
| No log | 12.2222 | 440 | 0.8154 | 0.4893 | 0.8154 | 0.9030 |
| No log | 12.2778 | 442 | 0.8147 | 0.4422 | 0.8147 | 0.9026 |
| No log | 12.3333 | 444 | 0.8096 | 0.4156 | 0.8096 | 0.8998 |
| No log | 12.3889 | 446 | 0.8027 | 0.4659 | 0.8027 | 0.8960 |
| No log | 12.4444 | 448 | 0.8046 | 0.4345 | 0.8046 | 0.8970 |
| No log | 12.5 | 450 | 0.8074 | 0.4625 | 0.8074 | 0.8986 |
| No log | 12.5556 | 452 | 0.8122 | 0.5003 | 0.8122 | 0.9012 |
| No log | 12.6111 | 454 | 0.8196 | 0.4882 | 0.8196 | 0.9053 |
| No log | 12.6667 | 456 | 0.8183 | 0.4503 | 0.8183 | 0.9046 |
| No log | 12.7222 | 458 | 0.8176 | 0.4363 | 0.8176 | 0.9042 |
| No log | 12.7778 | 460 | 0.8360 | 0.4450 | 0.8360 | 0.9144 |
| No log | 12.8333 | 462 | 0.8534 | 0.3902 | 0.8534 | 0.9238 |
| No log | 12.8889 | 464 | 0.8220 | 0.4082 | 0.8220 | 0.9066 |
| No log | 12.9444 | 466 | 0.7985 | 0.4503 | 0.7985 | 0.8936 |
| No log | 13.0 | 468 | 0.7883 | 0.4381 | 0.7883 | 0.8878 |
| No log | 13.0556 | 470 | 0.7836 | 0.4381 | 0.7836 | 0.8852 |
| No log | 13.1111 | 472 | 0.7994 | 0.4439 | 0.7994 | 0.8941 |
| No log | 13.1667 | 474 | 0.7872 | 0.4259 | 0.7872 | 0.8872 |
| No log | 13.2222 | 476 | 0.7801 | 0.4503 | 0.7801 | 0.8832 |
| No log | 13.2778 | 478 | 0.7975 | 0.4223 | 0.7975 | 0.8930 |
| No log | 13.3333 | 480 | 0.8367 | 0.4952 | 0.8367 | 0.9147 |
| No log | 13.3889 | 482 | 0.8832 | 0.4681 | 0.8832 | 0.9398 |
| No log | 13.4444 | 484 | 0.8703 | 0.4581 | 0.8703 | 0.9329 |
| No log | 13.5 | 486 | 0.8262 | 0.4478 | 0.8262 | 0.9090 |
| No log | 13.5556 | 488 | 0.7914 | 0.4251 | 0.7914 | 0.8896 |
| No log | 13.6111 | 490 | 0.7814 | 0.4251 | 0.7814 | 0.8840 |
| No log | 13.6667 | 492 | 0.7798 | 0.4251 | 0.7798 | 0.8831 |
| No log | 13.7222 | 494 | 0.7801 | 0.4251 | 0.7801 | 0.8832 |
| No log | 13.7778 | 496 | 0.8026 | 0.4995 | 0.8026 | 0.8959 |
| No log | 13.8333 | 498 | 0.8031 | 0.5127 | 0.8031 | 0.8962 |
| 0.2727 | 13.8889 | 500 | 0.8060 | 0.5017 | 0.8060 | 0.8978 |
| 0.2727 | 13.9444 | 502 | 0.8157 | 0.5131 | 0.8157 | 0.9032 |
| 0.2727 | 14.0 | 504 | 0.8140 | 0.5274 | 0.8140 | 0.9022 |
| 0.2727 | 14.0556 | 506 | 0.8219 | 0.4576 | 0.8219 | 0.9066 |
| 0.2727 | 14.1111 | 508 | 0.8463 | 0.4338 | 0.8463 | 0.9199 |
| 0.2727 | 14.1667 | 510 | 0.8414 | 0.4338 | 0.8414 | 0.9173 |
| 0.2727 | 14.2222 | 512 | 0.8251 | 0.4444 | 0.8251 | 0.9084 |
| 0.2727 | 14.2778 | 514 | 0.8286 | 0.4802 | 0.8286 | 0.9103 |
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_usingALLEssays_FineTuningAraBERT_run1_AugV5_k8_task5_organization
Base model
aubmindlab/bert-base-arabertv02