Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k11_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k11_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k11_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k11_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k11_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k11_task2_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: 0.7534
- Qwk: 0.5269
- Mse: 0.7534
- Rmse: 0.8680
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 | 0.0364 | 2 | 4.1649 | -0.0344 | 4.1649 | 2.0408 |
| No log | 0.0727 | 4 | 2.1025 | 0.0383 | 2.1025 | 1.4500 |
| No log | 0.1091 | 6 | 1.1074 | 0.0864 | 1.1074 | 1.0523 |
| No log | 0.1455 | 8 | 0.7769 | 0.0224 | 0.7769 | 0.8814 |
| No log | 0.1818 | 10 | 1.1168 | -0.0742 | 1.1168 | 1.0568 |
| No log | 0.2182 | 12 | 1.4714 | -0.0125 | 1.4714 | 1.2130 |
| No log | 0.2545 | 14 | 1.0077 | -0.0325 | 1.0077 | 1.0038 |
| No log | 0.2909 | 16 | 0.8048 | 0.0259 | 0.8048 | 0.8971 |
| No log | 0.3273 | 18 | 0.8726 | 0.0075 | 0.8726 | 0.9341 |
| No log | 0.3636 | 20 | 1.0809 | 0.0505 | 1.0809 | 1.0397 |
| No log | 0.4 | 22 | 1.3637 | 0.1343 | 1.3637 | 1.1678 |
| No log | 0.4364 | 24 | 0.9114 | 0.2126 | 0.9114 | 0.9547 |
| No log | 0.4727 | 26 | 0.6360 | 0.4045 | 0.6360 | 0.7975 |
| No log | 0.5091 | 28 | 0.6410 | 0.2362 | 0.6410 | 0.8006 |
| No log | 0.5455 | 30 | 0.6304 | 0.2880 | 0.6304 | 0.7940 |
| No log | 0.5818 | 32 | 0.5998 | 0.4219 | 0.5998 | 0.7745 |
| No log | 0.6182 | 34 | 0.8601 | 0.3157 | 0.8601 | 0.9274 |
| No log | 0.6545 | 36 | 1.1621 | 0.2472 | 1.1621 | 1.0780 |
| No log | 0.6909 | 38 | 0.9940 | 0.2413 | 0.9940 | 0.9970 |
| No log | 0.7273 | 40 | 0.7382 | 0.3496 | 0.7382 | 0.8592 |
| No log | 0.7636 | 42 | 0.7188 | 0.3358 | 0.7188 | 0.8478 |
| No log | 0.8 | 44 | 0.7843 | 0.2880 | 0.7843 | 0.8856 |
| No log | 0.8364 | 46 | 0.7830 | 0.2665 | 0.7830 | 0.8849 |
| No log | 0.8727 | 48 | 0.8769 | 0.1876 | 0.8769 | 0.9364 |
| No log | 0.9091 | 50 | 0.8270 | 0.1838 | 0.8270 | 0.9094 |
| No log | 0.9455 | 52 | 0.8741 | 0.1672 | 0.8741 | 0.9349 |
| No log | 0.9818 | 54 | 0.9622 | 0.1687 | 0.9622 | 0.9809 |
| No log | 1.0182 | 56 | 0.8931 | 0.1717 | 0.8931 | 0.9450 |
| No log | 1.0545 | 58 | 0.8435 | 0.2133 | 0.8435 | 0.9184 |
| No log | 1.0909 | 60 | 0.8848 | 0.1922 | 0.8848 | 0.9406 |
| No log | 1.1273 | 62 | 0.8033 | 0.2382 | 0.8033 | 0.8963 |
| No log | 1.1636 | 64 | 0.6971 | 0.3141 | 0.6971 | 0.8349 |
| No log | 1.2 | 66 | 0.6208 | 0.3399 | 0.6208 | 0.7879 |
| No log | 1.2364 | 68 | 0.6167 | 0.3498 | 0.6167 | 0.7853 |
| No log | 1.2727 | 70 | 0.6237 | 0.4192 | 0.6237 | 0.7898 |
| No log | 1.3091 | 72 | 0.6301 | 0.3594 | 0.6301 | 0.7938 |
| No log | 1.3455 | 74 | 0.6187 | 0.4528 | 0.6187 | 0.7866 |
| No log | 1.3818 | 76 | 0.6567 | 0.3804 | 0.6567 | 0.8103 |
| No log | 1.4182 | 78 | 0.8940 | 0.3253 | 0.8940 | 0.9455 |
| No log | 1.4545 | 80 | 1.2209 | 0.2809 | 1.2209 | 1.1050 |
| No log | 1.4909 | 82 | 1.1155 | 0.2915 | 1.1155 | 1.0562 |
| No log | 1.5273 | 84 | 0.8804 | 0.3128 | 0.8804 | 0.9383 |
| No log | 1.5636 | 86 | 0.6803 | 0.3575 | 0.6803 | 0.8248 |
| No log | 1.6 | 88 | 0.6335 | 0.3717 | 0.6335 | 0.7959 |
| No log | 1.6364 | 90 | 0.6238 | 0.4386 | 0.6238 | 0.7898 |
| No log | 1.6727 | 92 | 0.6117 | 0.4066 | 0.6117 | 0.7821 |
| No log | 1.7091 | 94 | 0.6518 | 0.3823 | 0.6518 | 0.8073 |
| No log | 1.7455 | 96 | 0.7767 | 0.3822 | 0.7767 | 0.8813 |
| No log | 1.7818 | 98 | 0.8164 | 0.3716 | 0.8164 | 0.9036 |
| No log | 1.8182 | 100 | 0.6944 | 0.4053 | 0.6944 | 0.8333 |
| No log | 1.8545 | 102 | 0.6177 | 0.4605 | 0.6177 | 0.7860 |
| No log | 1.8909 | 104 | 0.6181 | 0.4633 | 0.6181 | 0.7862 |
| No log | 1.9273 | 106 | 0.6152 | 0.4497 | 0.6152 | 0.7844 |
| No log | 1.9636 | 108 | 0.6409 | 0.4362 | 0.6409 | 0.8005 |
| No log | 2.0 | 110 | 0.6307 | 0.4441 | 0.6307 | 0.7942 |
| No log | 2.0364 | 112 | 0.6236 | 0.4572 | 0.6236 | 0.7897 |
| No log | 2.0727 | 114 | 0.6457 | 0.4315 | 0.6457 | 0.8035 |
| No log | 2.1091 | 116 | 0.6358 | 0.4315 | 0.6358 | 0.7974 |
| No log | 2.1455 | 118 | 0.6054 | 0.4280 | 0.6054 | 0.7781 |
| No log | 2.1818 | 120 | 0.6570 | 0.4200 | 0.6570 | 0.8106 |
| No log | 2.2182 | 122 | 0.6874 | 0.4424 | 0.6874 | 0.8291 |
| No log | 2.2545 | 124 | 0.6695 | 0.4524 | 0.6695 | 0.8182 |
| No log | 2.2909 | 126 | 0.7255 | 0.4609 | 0.7255 | 0.8518 |
| No log | 2.3273 | 128 | 0.8598 | 0.3868 | 0.8598 | 0.9272 |
| No log | 2.3636 | 130 | 0.7983 | 0.4169 | 0.7983 | 0.8935 |
| No log | 2.4 | 132 | 0.7177 | 0.4214 | 0.7177 | 0.8472 |
| No log | 2.4364 | 134 | 0.8678 | 0.3185 | 0.8678 | 0.9315 |
| No log | 2.4727 | 136 | 0.8864 | 0.2911 | 0.8864 | 0.9415 |
| No log | 2.5091 | 138 | 0.7567 | 0.4185 | 0.7567 | 0.8699 |
| No log | 2.5455 | 140 | 0.7226 | 0.4412 | 0.7226 | 0.8500 |
| No log | 2.5818 | 142 | 0.8395 | 0.3446 | 0.8395 | 0.9162 |
| No log | 2.6182 | 144 | 0.7830 | 0.4060 | 0.7830 | 0.8849 |
| No log | 2.6545 | 146 | 0.6553 | 0.4096 | 0.6553 | 0.8095 |
| No log | 2.6909 | 148 | 0.6257 | 0.4516 | 0.6257 | 0.7910 |
| No log | 2.7273 | 150 | 0.6736 | 0.4471 | 0.6736 | 0.8207 |
| No log | 2.7636 | 152 | 0.6432 | 0.4547 | 0.6432 | 0.8020 |
| No log | 2.8 | 154 | 0.6295 | 0.4541 | 0.6295 | 0.7934 |
| No log | 2.8364 | 156 | 0.6920 | 0.3983 | 0.6920 | 0.8319 |
| No log | 2.8727 | 158 | 0.7012 | 0.4077 | 0.7012 | 0.8374 |
| No log | 2.9091 | 160 | 0.7006 | 0.3809 | 0.7006 | 0.8370 |
| No log | 2.9455 | 162 | 0.6124 | 0.4134 | 0.6124 | 0.7825 |
| No log | 2.9818 | 164 | 0.5959 | 0.4424 | 0.5959 | 0.7719 |
| No log | 3.0182 | 166 | 0.6071 | 0.4536 | 0.6071 | 0.7792 |
| No log | 3.0545 | 168 | 0.6095 | 0.4324 | 0.6095 | 0.7807 |
| No log | 3.0909 | 170 | 0.6743 | 0.4262 | 0.6743 | 0.8211 |
| No log | 3.1273 | 172 | 0.8221 | 0.3223 | 0.8221 | 0.9067 |
| No log | 3.1636 | 174 | 0.8169 | 0.3829 | 0.8169 | 0.9038 |
| No log | 3.2 | 176 | 0.7074 | 0.4843 | 0.7074 | 0.8411 |
| No log | 3.2364 | 178 | 0.7287 | 0.4566 | 0.7287 | 0.8537 |
| No log | 3.2727 | 180 | 0.7314 | 0.4558 | 0.7314 | 0.8552 |
| No log | 3.3091 | 182 | 0.7034 | 0.5034 | 0.7034 | 0.8387 |
| No log | 3.3455 | 184 | 0.7140 | 0.4071 | 0.7140 | 0.8450 |
| No log | 3.3818 | 186 | 0.7377 | 0.3889 | 0.7377 | 0.8589 |
| No log | 3.4182 | 188 | 0.7759 | 0.3907 | 0.7759 | 0.8808 |
| No log | 3.4545 | 190 | 0.7346 | 0.3867 | 0.7346 | 0.8571 |
| No log | 3.4909 | 192 | 0.7165 | 0.4799 | 0.7165 | 0.8465 |
| No log | 3.5273 | 194 | 0.7514 | 0.5249 | 0.7514 | 0.8669 |
| No log | 3.5636 | 196 | 0.7548 | 0.5290 | 0.7548 | 0.8688 |
| No log | 3.6 | 198 | 0.7450 | 0.4340 | 0.7450 | 0.8631 |
| No log | 3.6364 | 200 | 0.7875 | 0.4 | 0.7875 | 0.8874 |
| No log | 3.6727 | 202 | 0.8068 | 0.3749 | 0.8068 | 0.8982 |
| No log | 3.7091 | 204 | 0.7569 | 0.4 | 0.7569 | 0.8700 |
| No log | 3.7455 | 206 | 0.7004 | 0.4716 | 0.7004 | 0.8369 |
| No log | 3.7818 | 208 | 0.7074 | 0.5606 | 0.7074 | 0.8411 |
| No log | 3.8182 | 210 | 0.7286 | 0.5726 | 0.7286 | 0.8536 |
| No log | 3.8545 | 212 | 0.7282 | 0.5665 | 0.7282 | 0.8533 |
| No log | 3.8909 | 214 | 0.7067 | 0.4982 | 0.7067 | 0.8407 |
| No log | 3.9273 | 216 | 0.7059 | 0.4886 | 0.7059 | 0.8402 |
| No log | 3.9636 | 218 | 0.7070 | 0.5079 | 0.7070 | 0.8408 |
| No log | 4.0 | 220 | 0.7232 | 0.5361 | 0.7232 | 0.8504 |
| No log | 4.0364 | 222 | 0.7179 | 0.5 | 0.7179 | 0.8473 |
| No log | 4.0727 | 224 | 0.7105 | 0.4897 | 0.7105 | 0.8429 |
| No log | 4.1091 | 226 | 0.7147 | 0.5 | 0.7147 | 0.8454 |
| No log | 4.1455 | 228 | 0.7185 | 0.4991 | 0.7185 | 0.8477 |
| No log | 4.1818 | 230 | 0.7175 | 0.5015 | 0.7175 | 0.8471 |
| No log | 4.2182 | 232 | 0.7162 | 0.4956 | 0.7162 | 0.8463 |
| No log | 4.2545 | 234 | 0.7130 | 0.4607 | 0.7130 | 0.8444 |
| No log | 4.2909 | 236 | 0.7170 | 0.4498 | 0.7170 | 0.8468 |
| No log | 4.3273 | 238 | 0.7455 | 0.4632 | 0.7455 | 0.8634 |
| No log | 4.3636 | 240 | 0.8532 | 0.4489 | 0.8532 | 0.9237 |
| No log | 4.4 | 242 | 0.8777 | 0.4373 | 0.8777 | 0.9369 |
| No log | 4.4364 | 244 | 0.7637 | 0.4527 | 0.7637 | 0.8739 |
| No log | 4.4727 | 246 | 0.6981 | 0.4737 | 0.6981 | 0.8356 |
| No log | 4.5091 | 248 | 0.6705 | 0.4991 | 0.6705 | 0.8189 |
| No log | 4.5455 | 250 | 0.6854 | 0.4741 | 0.6854 | 0.8279 |
| No log | 4.5818 | 252 | 0.6733 | 0.4773 | 0.6733 | 0.8206 |
| No log | 4.6182 | 254 | 0.6617 | 0.4773 | 0.6617 | 0.8134 |
| No log | 4.6545 | 256 | 0.6700 | 0.4690 | 0.6700 | 0.8186 |
| No log | 4.6909 | 258 | 0.6654 | 0.4946 | 0.6654 | 0.8157 |
| No log | 4.7273 | 260 | 0.6690 | 0.4891 | 0.6690 | 0.8179 |
| No log | 4.7636 | 262 | 0.6669 | 0.5074 | 0.6669 | 0.8166 |
| No log | 4.8 | 264 | 0.7178 | 0.4886 | 0.7178 | 0.8473 |
| No log | 4.8364 | 266 | 0.7931 | 0.4653 | 0.7931 | 0.8905 |
| No log | 4.8727 | 268 | 0.8316 | 0.4764 | 0.8316 | 0.9119 |
| No log | 4.9091 | 270 | 0.8159 | 0.4793 | 0.8159 | 0.9033 |
| No log | 4.9455 | 272 | 0.7762 | 0.4722 | 0.7762 | 0.8810 |
| No log | 4.9818 | 274 | 0.7703 | 0.4405 | 0.7703 | 0.8777 |
| No log | 5.0182 | 276 | 0.7975 | 0.4293 | 0.7975 | 0.8930 |
| No log | 5.0545 | 278 | 0.8214 | 0.4533 | 0.8214 | 0.9063 |
| No log | 5.0909 | 280 | 0.8231 | 0.4217 | 0.8231 | 0.9073 |
| No log | 5.1273 | 282 | 0.8029 | 0.4085 | 0.8029 | 0.8961 |
| No log | 5.1636 | 284 | 0.7874 | 0.4005 | 0.7874 | 0.8873 |
| No log | 5.2 | 286 | 0.7566 | 0.4277 | 0.7566 | 0.8699 |
| No log | 5.2364 | 288 | 0.7237 | 0.4257 | 0.7237 | 0.8507 |
| No log | 5.2727 | 290 | 0.6925 | 0.4456 | 0.6925 | 0.8322 |
| No log | 5.3091 | 292 | 0.7069 | 0.4944 | 0.7069 | 0.8407 |
| No log | 5.3455 | 294 | 0.7403 | 0.4788 | 0.7403 | 0.8604 |
| No log | 5.3818 | 296 | 0.7387 | 0.4847 | 0.7387 | 0.8595 |
| No log | 5.4182 | 298 | 0.6699 | 0.4853 | 0.6699 | 0.8184 |
| No log | 5.4545 | 300 | 0.6389 | 0.5300 | 0.6389 | 0.7993 |
| No log | 5.4909 | 302 | 0.6485 | 0.5173 | 0.6485 | 0.8053 |
| No log | 5.5273 | 304 | 0.6973 | 0.5270 | 0.6973 | 0.8351 |
| No log | 5.5636 | 306 | 0.7459 | 0.5041 | 0.7459 | 0.8636 |
| No log | 5.6 | 308 | 0.7818 | 0.5206 | 0.7818 | 0.8842 |
| No log | 5.6364 | 310 | 0.7823 | 0.5206 | 0.7823 | 0.8845 |
| No log | 5.6727 | 312 | 0.7644 | 0.5157 | 0.7644 | 0.8743 |
| No log | 5.7091 | 314 | 0.7426 | 0.5323 | 0.7426 | 0.8617 |
| No log | 5.7455 | 316 | 0.7529 | 0.5296 | 0.7529 | 0.8677 |
| No log | 5.7818 | 318 | 0.7682 | 0.5157 | 0.7682 | 0.8765 |
| No log | 5.8182 | 320 | 0.7586 | 0.5253 | 0.7586 | 0.8710 |
| No log | 5.8545 | 322 | 0.7493 | 0.5395 | 0.7493 | 0.8656 |
| No log | 5.8909 | 324 | 0.7319 | 0.5461 | 0.7319 | 0.8555 |
| No log | 5.9273 | 326 | 0.7370 | 0.5185 | 0.7370 | 0.8585 |
| No log | 5.9636 | 328 | 0.7495 | 0.5323 | 0.7495 | 0.8657 |
| No log | 6.0 | 330 | 0.7356 | 0.5128 | 0.7356 | 0.8577 |
| No log | 6.0364 | 332 | 0.7148 | 0.5413 | 0.7148 | 0.8455 |
| No log | 6.0727 | 334 | 0.7201 | 0.5488 | 0.7201 | 0.8486 |
| No log | 6.1091 | 336 | 0.7349 | 0.5137 | 0.7349 | 0.8573 |
| No log | 6.1455 | 338 | 0.7392 | 0.4981 | 0.7392 | 0.8598 |
| No log | 6.1818 | 340 | 0.7576 | 0.5064 | 0.7576 | 0.8704 |
| No log | 6.2182 | 342 | 0.7625 | 0.5064 | 0.7625 | 0.8732 |
| No log | 6.2545 | 344 | 0.7348 | 0.4949 | 0.7348 | 0.8572 |
| No log | 6.2909 | 346 | 0.7309 | 0.4842 | 0.7309 | 0.8549 |
| No log | 6.3273 | 348 | 0.7366 | 0.4960 | 0.7366 | 0.8583 |
| No log | 6.3636 | 350 | 0.7542 | 0.4863 | 0.7542 | 0.8684 |
| No log | 6.4 | 352 | 0.7632 | 0.4799 | 0.7632 | 0.8736 |
| No log | 6.4364 | 354 | 0.7683 | 0.4867 | 0.7683 | 0.8765 |
| No log | 6.4727 | 356 | 0.7968 | 0.5105 | 0.7968 | 0.8926 |
| No log | 6.5091 | 358 | 0.8258 | 0.5115 | 0.8258 | 0.9087 |
| No log | 6.5455 | 360 | 0.8135 | 0.5246 | 0.8135 | 0.9020 |
| No log | 6.5818 | 362 | 0.7678 | 0.5140 | 0.7678 | 0.8763 |
| No log | 6.6182 | 364 | 0.7551 | 0.4853 | 0.7551 | 0.8689 |
| No log | 6.6545 | 366 | 0.7508 | 0.4860 | 0.7508 | 0.8665 |
| No log | 6.6909 | 368 | 0.7612 | 0.5433 | 0.7612 | 0.8725 |
| No log | 6.7273 | 370 | 0.8071 | 0.4904 | 0.8071 | 0.8984 |
| No log | 6.7636 | 372 | 0.8476 | 0.4756 | 0.8476 | 0.9206 |
| No log | 6.8 | 374 | 0.8437 | 0.4809 | 0.8437 | 0.9186 |
| No log | 6.8364 | 376 | 0.7939 | 0.4910 | 0.7939 | 0.8910 |
| No log | 6.8727 | 378 | 0.7263 | 0.5200 | 0.7263 | 0.8522 |
| No log | 6.9091 | 380 | 0.6930 | 0.5133 | 0.6930 | 0.8325 |
| No log | 6.9455 | 382 | 0.6908 | 0.4907 | 0.6908 | 0.8312 |
| No log | 6.9818 | 384 | 0.6975 | 0.5133 | 0.6975 | 0.8351 |
| No log | 7.0182 | 386 | 0.7208 | 0.4785 | 0.7208 | 0.8490 |
| No log | 7.0545 | 388 | 0.7620 | 0.5153 | 0.7620 | 0.8729 |
| No log | 7.0909 | 390 | 0.7817 | 0.5134 | 0.7817 | 0.8841 |
| No log | 7.1273 | 392 | 0.7710 | 0.4864 | 0.7710 | 0.8781 |
| No log | 7.1636 | 394 | 0.7573 | 0.4778 | 0.7573 | 0.8702 |
| No log | 7.2 | 396 | 0.7535 | 0.4880 | 0.7535 | 0.8680 |
| No log | 7.2364 | 398 | 0.7480 | 0.4814 | 0.7480 | 0.8649 |
| No log | 7.2727 | 400 | 0.7532 | 0.4699 | 0.7532 | 0.8679 |
| No log | 7.3091 | 402 | 0.7475 | 0.4773 | 0.7475 | 0.8646 |
| No log | 7.3455 | 404 | 0.7473 | 0.4822 | 0.7473 | 0.8645 |
| No log | 7.3818 | 406 | 0.7539 | 0.4822 | 0.7539 | 0.8683 |
| No log | 7.4182 | 408 | 0.7503 | 0.4822 | 0.7503 | 0.8662 |
| No log | 7.4545 | 410 | 0.7553 | 0.4816 | 0.7553 | 0.8691 |
| No log | 7.4909 | 412 | 0.7430 | 0.4835 | 0.7430 | 0.8620 |
| No log | 7.5273 | 414 | 0.7321 | 0.5146 | 0.7321 | 0.8556 |
| No log | 7.5636 | 416 | 0.7297 | 0.4961 | 0.7297 | 0.8543 |
| No log | 7.6 | 418 | 0.7320 | 0.4961 | 0.7320 | 0.8556 |
| No log | 7.6364 | 420 | 0.7487 | 0.5013 | 0.7487 | 0.8653 |
| No log | 7.6727 | 422 | 0.7736 | 0.5035 | 0.7736 | 0.8795 |
| No log | 7.7091 | 424 | 0.7904 | 0.4950 | 0.7904 | 0.8890 |
| No log | 7.7455 | 426 | 0.8016 | 0.5115 | 0.8016 | 0.8953 |
| No log | 7.7818 | 428 | 0.8042 | 0.5115 | 0.8042 | 0.8967 |
| No log | 7.8182 | 430 | 0.7908 | 0.5115 | 0.7908 | 0.8893 |
| No log | 7.8545 | 432 | 0.7622 | 0.5193 | 0.7622 | 0.8730 |
| No log | 7.8909 | 434 | 0.7367 | 0.5350 | 0.7367 | 0.8583 |
| No log | 7.9273 | 436 | 0.7205 | 0.5446 | 0.7205 | 0.8489 |
| No log | 7.9636 | 438 | 0.7221 | 0.5350 | 0.7221 | 0.8498 |
| No log | 8.0 | 440 | 0.7295 | 0.5350 | 0.7295 | 0.8541 |
| No log | 8.0364 | 442 | 0.7481 | 0.5193 | 0.7481 | 0.8649 |
| No log | 8.0727 | 444 | 0.7511 | 0.5193 | 0.7511 | 0.8666 |
| No log | 8.1091 | 446 | 0.7528 | 0.5193 | 0.7528 | 0.8676 |
| No log | 8.1455 | 448 | 0.7533 | 0.5193 | 0.7533 | 0.8679 |
| No log | 8.1818 | 450 | 0.7464 | 0.5193 | 0.7464 | 0.8639 |
| No log | 8.2182 | 452 | 0.7346 | 0.5203 | 0.7346 | 0.8571 |
| No log | 8.2545 | 454 | 0.7159 | 0.5473 | 0.7159 | 0.8461 |
| No log | 8.2909 | 456 | 0.7073 | 0.5441 | 0.7073 | 0.8410 |
| No log | 8.3273 | 458 | 0.7061 | 0.5441 | 0.7061 | 0.8403 |
| No log | 8.3636 | 460 | 0.7144 | 0.5621 | 0.7144 | 0.8452 |
| No log | 8.4 | 462 | 0.7379 | 0.5208 | 0.7379 | 0.8590 |
| No log | 8.4364 | 464 | 0.7512 | 0.5128 | 0.7512 | 0.8667 |
| No log | 8.4727 | 466 | 0.7523 | 0.5128 | 0.7523 | 0.8673 |
| No log | 8.5091 | 468 | 0.7527 | 0.5128 | 0.7527 | 0.8676 |
| No log | 8.5455 | 470 | 0.7440 | 0.5173 | 0.7440 | 0.8626 |
| No log | 8.5818 | 472 | 0.7375 | 0.5314 | 0.7375 | 0.8588 |
| No log | 8.6182 | 474 | 0.7480 | 0.5173 | 0.7480 | 0.8649 |
| No log | 8.6545 | 476 | 0.7501 | 0.5173 | 0.7501 | 0.8661 |
| No log | 8.6909 | 478 | 0.7419 | 0.4941 | 0.7419 | 0.8613 |
| No log | 8.7273 | 480 | 0.7408 | 0.4824 | 0.7408 | 0.8607 |
| No log | 8.7636 | 482 | 0.7405 | 0.4983 | 0.7405 | 0.8605 |
| No log | 8.8 | 484 | 0.7498 | 0.4974 | 0.7498 | 0.8659 |
| No log | 8.8364 | 486 | 0.7646 | 0.4829 | 0.7646 | 0.8744 |
| No log | 8.8727 | 488 | 0.7787 | 0.4816 | 0.7787 | 0.8825 |
| No log | 8.9091 | 490 | 0.7865 | 0.4810 | 0.7865 | 0.8868 |
| No log | 8.9455 | 492 | 0.7914 | 0.4810 | 0.7914 | 0.8896 |
| No log | 8.9818 | 494 | 0.7948 | 0.4804 | 0.7948 | 0.8915 |
| No log | 9.0182 | 496 | 0.7895 | 0.4810 | 0.7895 | 0.8885 |
| No log | 9.0545 | 498 | 0.7809 | 0.4816 | 0.7809 | 0.8837 |
| 0.4234 | 9.0909 | 500 | 0.7815 | 0.4816 | 0.7815 | 0.8840 |
| 0.4234 | 9.1273 | 502 | 0.7846 | 0.4816 | 0.7846 | 0.8858 |
| 0.4234 | 9.1636 | 504 | 0.7853 | 0.4997 | 0.7853 | 0.8862 |
| 0.4234 | 9.2 | 506 | 0.7804 | 0.4997 | 0.7804 | 0.8834 |
| 0.4234 | 9.2364 | 508 | 0.7781 | 0.4997 | 0.7781 | 0.8821 |
| 0.4234 | 9.2727 | 510 | 0.7742 | 0.4997 | 0.7742 | 0.8799 |
| 0.4234 | 9.3091 | 512 | 0.7712 | 0.4989 | 0.7712 | 0.8782 |
| 0.4234 | 9.3455 | 514 | 0.7690 | 0.4989 | 0.7690 | 0.8769 |
| 0.4234 | 9.3818 | 516 | 0.7642 | 0.5127 | 0.7642 | 0.8742 |
| 0.4234 | 9.4182 | 518 | 0.7591 | 0.5269 | 0.7591 | 0.8713 |
| 0.4234 | 9.4545 | 520 | 0.7548 | 0.5269 | 0.7548 | 0.8688 |
| 0.4234 | 9.4909 | 522 | 0.7505 | 0.5269 | 0.7505 | 0.8663 |
| 0.4234 | 9.5273 | 524 | 0.7487 | 0.5147 | 0.7487 | 0.8653 |
| 0.4234 | 9.5636 | 526 | 0.7482 | 0.5147 | 0.7482 | 0.8650 |
| 0.4234 | 9.6 | 528 | 0.7500 | 0.5269 | 0.7500 | 0.8660 |
| 0.4234 | 9.6364 | 530 | 0.7534 | 0.5269 | 0.7534 | 0.8680 |
| 0.4234 | 9.6727 | 532 | 0.7542 | 0.5269 | 0.7542 | 0.8685 |
| 0.4234 | 9.7091 | 534 | 0.7547 | 0.5269 | 0.7547 | 0.8687 |
| 0.4234 | 9.7455 | 536 | 0.7554 | 0.5269 | 0.7554 | 0.8691 |
| 0.4234 | 9.7818 | 538 | 0.7546 | 0.5269 | 0.7546 | 0.8686 |
| 0.4234 | 9.8182 | 540 | 0.7533 | 0.5269 | 0.7533 | 0.8680 |
| 0.4234 | 9.8545 | 542 | 0.7522 | 0.5269 | 0.7522 | 0.8673 |
| 0.4234 | 9.8909 | 544 | 0.7519 | 0.5269 | 0.7519 | 0.8671 |
| 0.4234 | 9.9273 | 546 | 0.7524 | 0.5269 | 0.7524 | 0.8674 |
| 0.4234 | 9.9636 | 548 | 0.7531 | 0.5269 | 0.7531 | 0.8678 |
| 0.4234 | 10.0 | 550 | 0.7534 | 0.5269 | 0.7534 | 0.8680 |
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/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k11_task2_organization
Base model
aubmindlab/bert-base-arabertv02