Instructions to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k14_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k14_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k14_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k14_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k14_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k14_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: 0.8436
- Qwk: 0.6911
- Mse: 0.8436
- Rmse: 0.9185
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 | 0.0357 | 2 | 2.2658 | 0.0275 | 2.2658 | 1.5052 |
| No log | 0.0714 | 4 | 1.4505 | 0.2359 | 1.4505 | 1.2044 |
| No log | 0.1071 | 6 | 1.3475 | 0.2123 | 1.3475 | 1.1608 |
| No log | 0.1429 | 8 | 1.6738 | 0.3027 | 1.6738 | 1.2938 |
| No log | 0.1786 | 10 | 1.8369 | 0.2975 | 1.8369 | 1.3553 |
| No log | 0.2143 | 12 | 1.8094 | 0.3128 | 1.8094 | 1.3451 |
| No log | 0.25 | 14 | 1.4519 | 0.2730 | 1.4519 | 1.2050 |
| No log | 0.2857 | 16 | 1.3340 | 0.2044 | 1.3340 | 1.1550 |
| No log | 0.3214 | 18 | 1.2939 | 0.2346 | 1.2939 | 1.1375 |
| No log | 0.3571 | 20 | 1.3810 | 0.2779 | 1.3810 | 1.1752 |
| No log | 0.3929 | 22 | 1.3519 | 0.3402 | 1.3519 | 1.1627 |
| No log | 0.4286 | 24 | 1.1605 | 0.3327 | 1.1605 | 1.0773 |
| No log | 0.4643 | 26 | 1.1477 | 0.3475 | 1.1477 | 1.0713 |
| No log | 0.5 | 28 | 1.2906 | 0.3734 | 1.2906 | 1.1361 |
| No log | 0.5357 | 30 | 1.4163 | 0.4212 | 1.4163 | 1.1901 |
| No log | 0.5714 | 32 | 1.2612 | 0.4183 | 1.2612 | 1.1230 |
| No log | 0.6071 | 34 | 1.1783 | 0.3844 | 1.1783 | 1.0855 |
| No log | 0.6429 | 36 | 1.1523 | 0.4122 | 1.1523 | 1.0735 |
| No log | 0.6786 | 38 | 1.2238 | 0.3481 | 1.2238 | 1.1063 |
| No log | 0.7143 | 40 | 1.4017 | 0.4136 | 1.4017 | 1.1839 |
| No log | 0.75 | 42 | 1.4040 | 0.4256 | 1.4040 | 1.1849 |
| No log | 0.7857 | 44 | 1.3002 | 0.3906 | 1.3002 | 1.1403 |
| No log | 0.8214 | 46 | 1.1943 | 0.3866 | 1.1943 | 1.0928 |
| No log | 0.8571 | 48 | 1.2478 | 0.4014 | 1.2478 | 1.1171 |
| No log | 0.8929 | 50 | 1.3840 | 0.4169 | 1.3840 | 1.1764 |
| No log | 0.9286 | 52 | 1.5135 | 0.4388 | 1.5135 | 1.2303 |
| No log | 0.9643 | 54 | 1.6664 | 0.4208 | 1.6664 | 1.2909 |
| No log | 1.0 | 56 | 1.3087 | 0.5079 | 1.3087 | 1.1440 |
| No log | 1.0357 | 58 | 0.9028 | 0.6270 | 0.9028 | 0.9502 |
| No log | 1.0714 | 60 | 0.8754 | 0.5255 | 0.8754 | 0.9356 |
| No log | 1.1071 | 62 | 0.8592 | 0.5881 | 0.8592 | 0.9269 |
| No log | 1.1429 | 64 | 1.1048 | 0.5679 | 1.1048 | 1.0511 |
| No log | 1.1786 | 66 | 1.3598 | 0.5638 | 1.3598 | 1.1661 |
| No log | 1.2143 | 68 | 1.1556 | 0.5937 | 1.1556 | 1.0750 |
| No log | 1.25 | 70 | 0.9070 | 0.6406 | 0.9070 | 0.9524 |
| No log | 1.2857 | 72 | 0.8207 | 0.6643 | 0.8207 | 0.9059 |
| No log | 1.3214 | 74 | 0.7713 | 0.6275 | 0.7713 | 0.8783 |
| No log | 1.3571 | 76 | 0.8033 | 0.6459 | 0.8033 | 0.8963 |
| No log | 1.3929 | 78 | 0.8690 | 0.6357 | 0.8690 | 0.9322 |
| No log | 1.4286 | 80 | 0.8885 | 0.6338 | 0.8885 | 0.9426 |
| No log | 1.4643 | 82 | 0.8551 | 0.6489 | 0.8551 | 0.9247 |
| No log | 1.5 | 84 | 0.8249 | 0.6657 | 0.8249 | 0.9082 |
| No log | 1.5357 | 86 | 0.8756 | 0.6761 | 0.8756 | 0.9357 |
| No log | 1.5714 | 88 | 0.9398 | 0.6513 | 0.9398 | 0.9694 |
| No log | 1.6071 | 90 | 0.9974 | 0.6417 | 0.9974 | 0.9987 |
| No log | 1.6429 | 92 | 0.9278 | 0.6530 | 0.9278 | 0.9632 |
| No log | 1.6786 | 94 | 0.8605 | 0.6735 | 0.8605 | 0.9276 |
| No log | 1.7143 | 96 | 0.8809 | 0.6745 | 0.8809 | 0.9385 |
| No log | 1.75 | 98 | 1.0392 | 0.6409 | 1.0392 | 1.0194 |
| No log | 1.7857 | 100 | 1.2277 | 0.6024 | 1.2277 | 1.1080 |
| No log | 1.8214 | 102 | 1.0071 | 0.6391 | 1.0071 | 1.0036 |
| No log | 1.8571 | 104 | 0.9171 | 0.6510 | 0.9171 | 0.9576 |
| No log | 1.8929 | 106 | 1.0649 | 0.6219 | 1.0649 | 1.0320 |
| No log | 1.9286 | 108 | 1.3740 | 0.5232 | 1.3740 | 1.1722 |
| No log | 1.9643 | 110 | 1.2400 | 0.5285 | 1.2400 | 1.1135 |
| No log | 2.0 | 112 | 0.9123 | 0.5955 | 0.9123 | 0.9551 |
| No log | 2.0357 | 114 | 0.8442 | 0.6318 | 0.8442 | 0.9188 |
| No log | 2.0714 | 116 | 0.9224 | 0.6175 | 0.9224 | 0.9604 |
| No log | 2.1071 | 118 | 1.1115 | 0.5690 | 1.1115 | 1.0543 |
| No log | 2.1429 | 120 | 1.1216 | 0.5887 | 1.1216 | 1.0591 |
| No log | 2.1786 | 122 | 0.8808 | 0.6429 | 0.8808 | 0.9385 |
| No log | 2.2143 | 124 | 0.7381 | 0.6739 | 0.7381 | 0.8591 |
| No log | 2.25 | 126 | 0.7370 | 0.6799 | 0.7370 | 0.8585 |
| No log | 2.2857 | 128 | 0.7919 | 0.6844 | 0.7919 | 0.8899 |
| No log | 2.3214 | 130 | 0.8551 | 0.6732 | 0.8551 | 0.9247 |
| No log | 2.3571 | 132 | 0.8323 | 0.6890 | 0.8323 | 0.9123 |
| No log | 2.3929 | 134 | 0.7593 | 0.6684 | 0.7593 | 0.8714 |
| No log | 2.4286 | 136 | 0.7237 | 0.6641 | 0.7237 | 0.8507 |
| No log | 2.4643 | 138 | 0.7349 | 0.6654 | 0.7349 | 0.8573 |
| No log | 2.5 | 140 | 0.7777 | 0.6954 | 0.7777 | 0.8819 |
| No log | 2.5357 | 142 | 0.9205 | 0.6771 | 0.9205 | 0.9595 |
| No log | 2.5714 | 144 | 1.1343 | 0.5808 | 1.1343 | 1.0650 |
| No log | 2.6071 | 146 | 1.3080 | 0.5346 | 1.3080 | 1.1437 |
| No log | 2.6429 | 148 | 1.2747 | 0.5402 | 1.2747 | 1.1290 |
| No log | 2.6786 | 150 | 1.1009 | 0.5849 | 1.1009 | 1.0493 |
| No log | 2.7143 | 152 | 0.9135 | 0.6476 | 0.9135 | 0.9558 |
| No log | 2.75 | 154 | 0.7958 | 0.6877 | 0.7958 | 0.8921 |
| No log | 2.7857 | 156 | 0.7437 | 0.6781 | 0.7437 | 0.8624 |
| No log | 2.8214 | 158 | 0.7826 | 0.7063 | 0.7826 | 0.8847 |
| No log | 2.8571 | 160 | 0.9801 | 0.6491 | 0.9801 | 0.9900 |
| No log | 2.8929 | 162 | 1.0436 | 0.6340 | 1.0436 | 1.0216 |
| No log | 2.9286 | 164 | 0.8964 | 0.6788 | 0.8964 | 0.9468 |
| No log | 2.9643 | 166 | 0.7400 | 0.7016 | 0.7400 | 0.8602 |
| No log | 3.0 | 168 | 0.6940 | 0.6985 | 0.6940 | 0.8330 |
| No log | 3.0357 | 170 | 0.7385 | 0.7016 | 0.7385 | 0.8593 |
| No log | 3.0714 | 172 | 0.8467 | 0.7010 | 0.8467 | 0.9202 |
| No log | 3.1071 | 174 | 0.9076 | 0.6858 | 0.9076 | 0.9527 |
| No log | 3.1429 | 176 | 0.8328 | 0.7176 | 0.8328 | 0.9126 |
| No log | 3.1786 | 178 | 0.7014 | 0.7270 | 0.7014 | 0.8375 |
| No log | 3.2143 | 180 | 0.6690 | 0.6820 | 0.6690 | 0.8179 |
| No log | 3.25 | 182 | 0.6789 | 0.7103 | 0.6789 | 0.8240 |
| No log | 3.2857 | 184 | 0.7764 | 0.7228 | 0.7764 | 0.8811 |
| No log | 3.3214 | 186 | 1.0335 | 0.6372 | 1.0335 | 1.0166 |
| No log | 3.3571 | 188 | 1.0912 | 0.6259 | 1.0912 | 1.0446 |
| No log | 3.3929 | 190 | 0.9131 | 0.6852 | 0.9131 | 0.9556 |
| No log | 3.4286 | 192 | 0.7234 | 0.7098 | 0.7234 | 0.8505 |
| No log | 3.4643 | 194 | 0.7002 | 0.7060 | 0.7002 | 0.8368 |
| No log | 3.5 | 196 | 0.7986 | 0.7175 | 0.7986 | 0.8937 |
| No log | 3.5357 | 198 | 0.9803 | 0.6592 | 0.9803 | 0.9901 |
| No log | 3.5714 | 200 | 1.0406 | 0.6573 | 1.0406 | 1.0201 |
| No log | 3.6071 | 202 | 0.9911 | 0.6523 | 0.9911 | 0.9955 |
| No log | 3.6429 | 204 | 0.7933 | 0.6926 | 0.7933 | 0.8907 |
| No log | 3.6786 | 206 | 0.6948 | 0.6954 | 0.6948 | 0.8335 |
| No log | 3.7143 | 208 | 0.7207 | 0.6894 | 0.7207 | 0.8490 |
| No log | 3.75 | 210 | 0.7346 | 0.7024 | 0.7346 | 0.8571 |
| No log | 3.7857 | 212 | 0.7508 | 0.7137 | 0.7508 | 0.8665 |
| No log | 3.8214 | 214 | 0.8136 | 0.6824 | 0.8136 | 0.9020 |
| No log | 3.8571 | 216 | 0.8055 | 0.6987 | 0.8055 | 0.8975 |
| No log | 3.8929 | 218 | 0.8074 | 0.7131 | 0.8074 | 0.8986 |
| No log | 3.9286 | 220 | 0.7023 | 0.7470 | 0.7023 | 0.8381 |
| No log | 3.9643 | 222 | 0.6201 | 0.7131 | 0.6201 | 0.7875 |
| No log | 4.0 | 224 | 0.6158 | 0.7099 | 0.6158 | 0.7847 |
| No log | 4.0357 | 226 | 0.6657 | 0.7405 | 0.6657 | 0.8159 |
| No log | 4.0714 | 228 | 0.8506 | 0.6943 | 0.8506 | 0.9223 |
| No log | 4.1071 | 230 | 1.0076 | 0.6503 | 1.0076 | 1.0038 |
| No log | 4.1429 | 232 | 0.9847 | 0.6453 | 0.9847 | 0.9923 |
| No log | 4.1786 | 234 | 0.8005 | 0.7158 | 0.8005 | 0.8947 |
| No log | 4.2143 | 236 | 0.6708 | 0.7293 | 0.6708 | 0.8190 |
| No log | 4.25 | 238 | 0.6439 | 0.7346 | 0.6439 | 0.8024 |
| No log | 4.2857 | 240 | 0.6646 | 0.7210 | 0.6646 | 0.8152 |
| No log | 4.3214 | 242 | 0.6813 | 0.7218 | 0.6813 | 0.8254 |
| No log | 4.3571 | 244 | 0.7039 | 0.7130 | 0.7039 | 0.8390 |
| No log | 4.3929 | 246 | 0.7704 | 0.7175 | 0.7704 | 0.8778 |
| No log | 4.4286 | 248 | 0.7339 | 0.7068 | 0.7339 | 0.8567 |
| No log | 4.4643 | 250 | 0.6998 | 0.7039 | 0.6998 | 0.8365 |
| No log | 4.5 | 252 | 0.7072 | 0.7032 | 0.7072 | 0.8409 |
| No log | 4.5357 | 254 | 0.7242 | 0.6979 | 0.7242 | 0.8510 |
| No log | 4.5714 | 256 | 0.7684 | 0.7033 | 0.7684 | 0.8766 |
| No log | 4.6071 | 258 | 0.8394 | 0.7164 | 0.8394 | 0.9162 |
| No log | 4.6429 | 260 | 0.7931 | 0.7211 | 0.7931 | 0.8905 |
| No log | 4.6786 | 262 | 0.7283 | 0.6988 | 0.7283 | 0.8534 |
| No log | 4.7143 | 264 | 0.6752 | 0.7279 | 0.6752 | 0.8217 |
| No log | 4.75 | 266 | 0.7031 | 0.7075 | 0.7031 | 0.8385 |
| No log | 4.7857 | 268 | 0.8281 | 0.7100 | 0.8281 | 0.9100 |
| No log | 4.8214 | 270 | 1.0123 | 0.6379 | 1.0123 | 1.0061 |
| No log | 4.8571 | 272 | 1.0977 | 0.5959 | 1.0977 | 1.0477 |
| No log | 4.8929 | 274 | 1.0271 | 0.6183 | 1.0271 | 1.0135 |
| No log | 4.9286 | 276 | 0.8758 | 0.6793 | 0.8758 | 0.9358 |
| No log | 4.9643 | 278 | 0.7909 | 0.6880 | 0.7909 | 0.8893 |
| No log | 5.0 | 280 | 0.7773 | 0.7027 | 0.7773 | 0.8817 |
| No log | 5.0357 | 282 | 0.8306 | 0.6842 | 0.8306 | 0.9114 |
| No log | 5.0714 | 284 | 0.9144 | 0.6723 | 0.9144 | 0.9563 |
| No log | 5.1071 | 286 | 0.9802 | 0.6372 | 0.9802 | 0.9901 |
| No log | 5.1429 | 288 | 0.9175 | 0.6883 | 0.9175 | 0.9579 |
| No log | 5.1786 | 290 | 0.7839 | 0.7176 | 0.7839 | 0.8854 |
| No log | 5.2143 | 292 | 0.7260 | 0.7032 | 0.7260 | 0.8521 |
| No log | 5.25 | 294 | 0.7243 | 0.7052 | 0.7243 | 0.8511 |
| No log | 5.2857 | 296 | 0.7825 | 0.7141 | 0.7825 | 0.8846 |
| No log | 5.3214 | 298 | 0.8722 | 0.7132 | 0.8722 | 0.9339 |
| No log | 5.3571 | 300 | 0.8621 | 0.7090 | 0.8621 | 0.9285 |
| No log | 5.3929 | 302 | 0.8003 | 0.7106 | 0.8003 | 0.8946 |
| No log | 5.4286 | 304 | 0.7156 | 0.7068 | 0.7156 | 0.8459 |
| No log | 5.4643 | 306 | 0.6930 | 0.7051 | 0.6930 | 0.8325 |
| No log | 5.5 | 308 | 0.6946 | 0.7059 | 0.6946 | 0.8334 |
| No log | 5.5357 | 310 | 0.7410 | 0.6912 | 0.7410 | 0.8608 |
| No log | 5.5714 | 312 | 0.8120 | 0.7114 | 0.8120 | 0.9011 |
| No log | 5.6071 | 314 | 0.9193 | 0.6849 | 0.9193 | 0.9588 |
| No log | 5.6429 | 316 | 0.9379 | 0.6773 | 0.9379 | 0.9685 |
| No log | 5.6786 | 318 | 0.8602 | 0.7164 | 0.8602 | 0.9275 |
| No log | 5.7143 | 320 | 0.8047 | 0.7092 | 0.8047 | 0.8970 |
| No log | 5.75 | 322 | 0.7735 | 0.7034 | 0.7735 | 0.8795 |
| No log | 5.7857 | 324 | 0.8095 | 0.7092 | 0.8095 | 0.8997 |
| No log | 5.8214 | 326 | 0.8380 | 0.7164 | 0.8380 | 0.9154 |
| No log | 5.8571 | 328 | 0.8982 | 0.6680 | 0.8982 | 0.9477 |
| No log | 5.8929 | 330 | 0.9795 | 0.6464 | 0.9795 | 0.9897 |
| No log | 5.9286 | 332 | 0.9838 | 0.6360 | 0.9838 | 0.9919 |
| No log | 5.9643 | 334 | 0.9577 | 0.6491 | 0.9577 | 0.9786 |
| No log | 6.0 | 336 | 0.8503 | 0.6934 | 0.8503 | 0.9221 |
| No log | 6.0357 | 338 | 0.7619 | 0.6854 | 0.7619 | 0.8729 |
| No log | 6.0714 | 340 | 0.7263 | 0.7120 | 0.7263 | 0.8522 |
| No log | 6.1071 | 342 | 0.7230 | 0.7120 | 0.7230 | 0.8503 |
| No log | 6.1429 | 344 | 0.7704 | 0.6879 | 0.7704 | 0.8777 |
| No log | 6.1786 | 346 | 0.8391 | 0.6900 | 0.8391 | 0.9160 |
| No log | 6.2143 | 348 | 0.9176 | 0.6926 | 0.9176 | 0.9579 |
| No log | 6.25 | 350 | 0.9242 | 0.6931 | 0.9242 | 0.9614 |
| No log | 6.2857 | 352 | 0.8728 | 0.6893 | 0.8728 | 0.9342 |
| No log | 6.3214 | 354 | 0.8437 | 0.6893 | 0.8437 | 0.9185 |
| No log | 6.3571 | 356 | 0.7807 | 0.7211 | 0.7807 | 0.8835 |
| No log | 6.3929 | 358 | 0.7329 | 0.7418 | 0.7329 | 0.8561 |
| No log | 6.4286 | 360 | 0.7449 | 0.7252 | 0.7449 | 0.8630 |
| No log | 6.4643 | 362 | 0.7703 | 0.7188 | 0.7703 | 0.8777 |
| No log | 6.5 | 364 | 0.8292 | 0.7105 | 0.8292 | 0.9106 |
| No log | 6.5357 | 366 | 0.9017 | 0.6722 | 0.9017 | 0.9496 |
| No log | 6.5714 | 368 | 0.8973 | 0.6605 | 0.8973 | 0.9472 |
| No log | 6.6071 | 370 | 0.8271 | 0.7105 | 0.8271 | 0.9095 |
| No log | 6.6429 | 372 | 0.7631 | 0.7083 | 0.7631 | 0.8736 |
| No log | 6.6786 | 374 | 0.7291 | 0.7130 | 0.7291 | 0.8538 |
| No log | 6.7143 | 376 | 0.7295 | 0.7130 | 0.7295 | 0.8541 |
| No log | 6.75 | 378 | 0.7740 | 0.6921 | 0.7740 | 0.8798 |
| No log | 6.7857 | 380 | 0.8701 | 0.6822 | 0.8701 | 0.9328 |
| No log | 6.8214 | 382 | 0.9500 | 0.6712 | 0.9500 | 0.9747 |
| No log | 6.8571 | 384 | 0.9533 | 0.6752 | 0.9533 | 0.9763 |
| No log | 6.8929 | 386 | 0.8888 | 0.6747 | 0.8888 | 0.9428 |
| No log | 6.9286 | 388 | 0.8426 | 0.6923 | 0.8426 | 0.9179 |
| No log | 6.9643 | 390 | 0.7773 | 0.7100 | 0.7773 | 0.8817 |
| No log | 7.0 | 392 | 0.7196 | 0.7065 | 0.7196 | 0.8483 |
| No log | 7.0357 | 394 | 0.6998 | 0.7263 | 0.6998 | 0.8365 |
| No log | 7.0714 | 396 | 0.7124 | 0.7234 | 0.7124 | 0.8440 |
| No log | 7.1071 | 398 | 0.7630 | 0.7137 | 0.7630 | 0.8735 |
| No log | 7.1429 | 400 | 0.8233 | 0.6731 | 0.8233 | 0.9074 |
| No log | 7.1786 | 402 | 0.9040 | 0.6816 | 0.9040 | 0.9508 |
| No log | 7.2143 | 404 | 0.9443 | 0.6705 | 0.9443 | 0.9718 |
| No log | 7.25 | 406 | 0.9221 | 0.6773 | 0.9221 | 0.9603 |
| No log | 7.2857 | 408 | 0.9206 | 0.6829 | 0.9206 | 0.9595 |
| No log | 7.3214 | 410 | 0.8852 | 0.6771 | 0.8852 | 0.9408 |
| No log | 7.3571 | 412 | 0.8560 | 0.6756 | 0.8560 | 0.9252 |
| No log | 7.3929 | 414 | 0.8323 | 0.6816 | 0.8323 | 0.9123 |
| No log | 7.4286 | 416 | 0.8215 | 0.6913 | 0.8215 | 0.9064 |
| No log | 7.4643 | 418 | 0.7838 | 0.6926 | 0.7838 | 0.8853 |
| No log | 7.5 | 420 | 0.7391 | 0.6938 | 0.7391 | 0.8597 |
| No log | 7.5357 | 422 | 0.7285 | 0.6979 | 0.7285 | 0.8535 |
| No log | 7.5714 | 424 | 0.7419 | 0.6938 | 0.7419 | 0.8614 |
| No log | 7.6071 | 426 | 0.7740 | 0.7150 | 0.7740 | 0.8798 |
| No log | 7.6429 | 428 | 0.8299 | 0.6792 | 0.8299 | 0.9110 |
| No log | 7.6786 | 430 | 0.9203 | 0.6705 | 0.9203 | 0.9593 |
| No log | 7.7143 | 432 | 0.9656 | 0.6672 | 0.9656 | 0.9827 |
| No log | 7.75 | 434 | 0.9648 | 0.6672 | 0.9648 | 0.9823 |
| No log | 7.7857 | 436 | 0.9110 | 0.6856 | 0.9110 | 0.9545 |
| No log | 7.8214 | 438 | 0.8299 | 0.6696 | 0.8299 | 0.9110 |
| No log | 7.8571 | 440 | 0.7535 | 0.6968 | 0.7536 | 0.8681 |
| No log | 7.8929 | 442 | 0.7097 | 0.6902 | 0.7097 | 0.8425 |
| No log | 7.9286 | 444 | 0.6898 | 0.7147 | 0.6898 | 0.8305 |
| No log | 7.9643 | 446 | 0.6990 | 0.6974 | 0.6990 | 0.8361 |
| No log | 8.0 | 448 | 0.7221 | 0.6862 | 0.7221 | 0.8497 |
| No log | 8.0357 | 450 | 0.7719 | 0.6833 | 0.7719 | 0.8786 |
| No log | 8.0714 | 452 | 0.8268 | 0.6852 | 0.8268 | 0.9093 |
| No log | 8.1071 | 454 | 0.8973 | 0.6773 | 0.8973 | 0.9473 |
| No log | 8.1429 | 456 | 0.9415 | 0.6655 | 0.9415 | 0.9703 |
| No log | 8.1786 | 458 | 0.9456 | 0.6614 | 0.9456 | 0.9724 |
| No log | 8.2143 | 460 | 0.9176 | 0.6705 | 0.9176 | 0.9579 |
| No log | 8.25 | 462 | 0.8961 | 0.6705 | 0.8961 | 0.9466 |
| No log | 8.2857 | 464 | 0.8830 | 0.6705 | 0.8830 | 0.9397 |
| No log | 8.3214 | 466 | 0.8721 | 0.6705 | 0.8721 | 0.9338 |
| No log | 8.3571 | 468 | 0.8574 | 0.6747 | 0.8574 | 0.9259 |
| No log | 8.3929 | 470 | 0.8679 | 0.6747 | 0.8679 | 0.9316 |
| No log | 8.4286 | 472 | 0.8732 | 0.6747 | 0.8732 | 0.9345 |
| No log | 8.4643 | 474 | 0.8842 | 0.6747 | 0.8842 | 0.9403 |
| No log | 8.5 | 476 | 0.9005 | 0.6705 | 0.9005 | 0.9489 |
| No log | 8.5357 | 478 | 0.8938 | 0.6773 | 0.8938 | 0.9454 |
| No log | 8.5714 | 480 | 0.8751 | 0.6773 | 0.8751 | 0.9354 |
| No log | 8.6071 | 482 | 0.8633 | 0.6773 | 0.8633 | 0.9291 |
| No log | 8.6429 | 484 | 0.8565 | 0.6868 | 0.8565 | 0.9255 |
| No log | 8.6786 | 486 | 0.8657 | 0.6773 | 0.8657 | 0.9304 |
| No log | 8.7143 | 488 | 0.8685 | 0.6773 | 0.8685 | 0.9319 |
| No log | 8.75 | 490 | 0.8670 | 0.6868 | 0.8670 | 0.9311 |
| No log | 8.7857 | 492 | 0.8583 | 0.6911 | 0.8583 | 0.9264 |
| No log | 8.8214 | 494 | 0.8437 | 0.6911 | 0.8437 | 0.9185 |
| No log | 8.8571 | 496 | 0.8269 | 0.6911 | 0.8269 | 0.9093 |
| No log | 8.8929 | 498 | 0.8174 | 0.6852 | 0.8174 | 0.9041 |
| 0.3034 | 8.9286 | 500 | 0.8084 | 0.6792 | 0.8084 | 0.8991 |
| 0.3034 | 8.9643 | 502 | 0.8027 | 0.6913 | 0.8027 | 0.8959 |
| 0.3034 | 9.0 | 504 | 0.8113 | 0.6852 | 0.8113 | 0.9007 |
| 0.3034 | 9.0357 | 506 | 0.8308 | 0.6911 | 0.8308 | 0.9115 |
| 0.3034 | 9.0714 | 508 | 0.8468 | 0.6840 | 0.8468 | 0.9202 |
| 0.3034 | 9.1071 | 510 | 0.8673 | 0.6840 | 0.8673 | 0.9313 |
| 0.3034 | 9.1429 | 512 | 0.8747 | 0.6705 | 0.8747 | 0.9352 |
| 0.3034 | 9.1786 | 514 | 0.8698 | 0.6798 | 0.8698 | 0.9326 |
| 0.3034 | 9.2143 | 516 | 0.8581 | 0.6840 | 0.8581 | 0.9264 |
| 0.3034 | 9.25 | 518 | 0.8413 | 0.6840 | 0.8413 | 0.9172 |
| 0.3034 | 9.2857 | 520 | 0.8290 | 0.6840 | 0.8290 | 0.9105 |
| 0.3034 | 9.3214 | 522 | 0.8199 | 0.6911 | 0.8199 | 0.9055 |
| 0.3034 | 9.3571 | 524 | 0.8164 | 0.6911 | 0.8164 | 0.9035 |
| 0.3034 | 9.3929 | 526 | 0.8150 | 0.6911 | 0.8150 | 0.9028 |
| 0.3034 | 9.4286 | 528 | 0.8176 | 0.6911 | 0.8176 | 0.9042 |
| 0.3034 | 9.4643 | 530 | 0.8184 | 0.6911 | 0.8184 | 0.9047 |
| 0.3034 | 9.5 | 532 | 0.8126 | 0.6911 | 0.8126 | 0.9014 |
| 0.3034 | 9.5357 | 534 | 0.8079 | 0.7007 | 0.8079 | 0.8988 |
| 0.3034 | 9.5714 | 536 | 0.8051 | 0.7007 | 0.8051 | 0.8973 |
| 0.3034 | 9.6071 | 538 | 0.8074 | 0.7007 | 0.8074 | 0.8986 |
| 0.3034 | 9.6429 | 540 | 0.8125 | 0.7007 | 0.8125 | 0.9014 |
| 0.3034 | 9.6786 | 542 | 0.8179 | 0.7007 | 0.8179 | 0.9044 |
| 0.3034 | 9.7143 | 544 | 0.8241 | 0.6911 | 0.8241 | 0.9078 |
| 0.3034 | 9.75 | 546 | 0.8314 | 0.6911 | 0.8314 | 0.9118 |
| 0.3034 | 9.7857 | 548 | 0.8359 | 0.6911 | 0.8359 | 0.9143 |
| 0.3034 | 9.8214 | 550 | 0.8387 | 0.6911 | 0.8387 | 0.9158 |
| 0.3034 | 9.8571 | 552 | 0.8409 | 0.6911 | 0.8409 | 0.9170 |
| 0.3034 | 9.8929 | 554 | 0.8429 | 0.6911 | 0.8429 | 0.9181 |
| 0.3034 | 9.9286 | 556 | 0.8432 | 0.6911 | 0.8432 | 0.9183 |
| 0.3034 | 9.9643 | 558 | 0.8436 | 0.6911 | 0.8436 | 0.9185 |
| 0.3034 | 10.0 | 560 | 0.8436 | 0.6911 | 0.8436 | 0.9185 |
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_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k14_task5_organization
Base model
aubmindlab/bert-base-arabertv02