Instructions to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k10_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k10_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k10_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k10_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k10_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k10_task1_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: 0.6426
- Qwk: 0.7175
- Mse: 0.6426
- Rmse: 0.8016
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 | 0.0317 | 2 | 5.3681 | -0.0476 | 5.3681 | 2.3169 |
| No log | 0.0635 | 4 | 3.2253 | 0.0687 | 3.2253 | 1.7959 |
| No log | 0.0952 | 6 | 2.4011 | -0.0386 | 2.4011 | 1.5496 |
| No log | 0.1270 | 8 | 2.3973 | -0.1164 | 2.3973 | 1.5483 |
| No log | 0.1587 | 10 | 1.8465 | -0.0122 | 1.8465 | 1.3588 |
| No log | 0.1905 | 12 | 1.6412 | -0.0074 | 1.6412 | 1.2811 |
| No log | 0.2222 | 14 | 1.6727 | -0.0074 | 1.6727 | 1.2933 |
| No log | 0.2540 | 16 | 1.4914 | 0.0243 | 1.4914 | 1.2212 |
| No log | 0.2857 | 18 | 1.3517 | 0.1857 | 1.3517 | 1.1626 |
| No log | 0.3175 | 20 | 1.2453 | 0.2589 | 1.2453 | 1.1159 |
| No log | 0.3492 | 22 | 1.3820 | 0.1552 | 1.3820 | 1.1756 |
| No log | 0.3810 | 24 | 1.8751 | -0.0133 | 1.8751 | 1.3694 |
| No log | 0.4127 | 26 | 2.4822 | -0.1072 | 2.4822 | 1.5755 |
| No log | 0.4444 | 28 | 3.3927 | -0.1419 | 3.3927 | 1.8419 |
| No log | 0.4762 | 30 | 2.8127 | -0.1404 | 2.8127 | 1.6771 |
| No log | 0.5079 | 32 | 1.6155 | 0.0825 | 1.6155 | 1.2710 |
| No log | 0.5397 | 34 | 1.3309 | 0.1288 | 1.3309 | 1.1537 |
| No log | 0.5714 | 36 | 1.4569 | 0.0712 | 1.4569 | 1.2070 |
| No log | 0.6032 | 38 | 1.4171 | 0.1036 | 1.4171 | 1.1904 |
| No log | 0.6349 | 40 | 1.4952 | 0.0884 | 1.4952 | 1.2228 |
| No log | 0.6667 | 42 | 1.5296 | 0.0884 | 1.5296 | 1.2368 |
| No log | 0.6984 | 44 | 1.5304 | 0.0884 | 1.5304 | 1.2371 |
| No log | 0.7302 | 46 | 1.4303 | 0.0908 | 1.4303 | 1.1960 |
| No log | 0.7619 | 48 | 1.3051 | 0.1824 | 1.3051 | 1.1424 |
| No log | 0.7937 | 50 | 1.4319 | 0.1070 | 1.4319 | 1.1966 |
| No log | 0.8254 | 52 | 1.4758 | 0.0585 | 1.4758 | 1.2148 |
| No log | 0.8571 | 54 | 1.4454 | 0.0654 | 1.4454 | 1.2023 |
| No log | 0.8889 | 56 | 1.3293 | 0.0942 | 1.3293 | 1.1530 |
| No log | 0.9206 | 58 | 1.3161 | 0.1398 | 1.3161 | 1.1472 |
| No log | 0.9524 | 60 | 1.5397 | 0.1300 | 1.5397 | 1.2409 |
| No log | 0.9841 | 62 | 1.6132 | 0.1447 | 1.6132 | 1.2701 |
| No log | 1.0159 | 64 | 1.6671 | 0.1737 | 1.6671 | 1.2912 |
| No log | 1.0476 | 66 | 1.8785 | 0.2148 | 1.8785 | 1.3706 |
| No log | 1.0794 | 68 | 1.7042 | 0.2057 | 1.7042 | 1.3055 |
| No log | 1.1111 | 70 | 1.3753 | 0.2829 | 1.3753 | 1.1727 |
| No log | 1.1429 | 72 | 1.0826 | 0.4033 | 1.0826 | 1.0405 |
| No log | 1.1746 | 74 | 1.0716 | 0.4403 | 1.0716 | 1.0352 |
| No log | 1.2063 | 76 | 1.1427 | 0.3709 | 1.1427 | 1.0690 |
| No log | 1.2381 | 78 | 1.2830 | 0.3588 | 1.2830 | 1.1327 |
| No log | 1.2698 | 80 | 1.6391 | 0.2860 | 1.6391 | 1.2803 |
| No log | 1.3016 | 82 | 2.0908 | 0.2429 | 2.0908 | 1.4459 |
| No log | 1.3333 | 84 | 2.0686 | 0.2574 | 2.0686 | 1.4383 |
| No log | 1.3651 | 86 | 1.6876 | 0.2804 | 1.6876 | 1.2991 |
| No log | 1.3968 | 88 | 1.2792 | 0.3360 | 1.2792 | 1.1310 |
| No log | 1.4286 | 90 | 1.0311 | 0.4647 | 1.0311 | 1.0155 |
| No log | 1.4603 | 92 | 0.8860 | 0.4435 | 0.8860 | 0.9413 |
| No log | 1.4921 | 94 | 0.8111 | 0.5402 | 0.8111 | 0.9006 |
| No log | 1.5238 | 96 | 0.8069 | 0.5024 | 0.8069 | 0.8983 |
| No log | 1.5556 | 98 | 0.7924 | 0.5308 | 0.7924 | 0.8902 |
| No log | 1.5873 | 100 | 0.7737 | 0.5817 | 0.7737 | 0.8796 |
| No log | 1.6190 | 102 | 0.7248 | 0.5847 | 0.7248 | 0.8514 |
| No log | 1.6508 | 104 | 0.7218 | 0.5786 | 0.7218 | 0.8496 |
| No log | 1.6825 | 106 | 0.7830 | 0.5943 | 0.7830 | 0.8849 |
| No log | 1.7143 | 108 | 0.9105 | 0.5459 | 0.9105 | 0.9542 |
| No log | 1.7460 | 110 | 0.9560 | 0.5744 | 0.9560 | 0.9777 |
| No log | 1.7778 | 112 | 0.8757 | 0.5670 | 0.8757 | 0.9358 |
| No log | 1.8095 | 114 | 0.7373 | 0.5504 | 0.7373 | 0.8587 |
| No log | 1.8413 | 116 | 0.6449 | 0.5932 | 0.6449 | 0.8031 |
| No log | 1.8730 | 118 | 0.5899 | 0.6672 | 0.5899 | 0.7680 |
| No log | 1.9048 | 120 | 0.5736 | 0.6839 | 0.5736 | 0.7573 |
| No log | 1.9365 | 122 | 0.5656 | 0.6816 | 0.5656 | 0.7520 |
| No log | 1.9683 | 124 | 0.5681 | 0.6527 | 0.5681 | 0.7537 |
| No log | 2.0 | 126 | 0.5767 | 0.6604 | 0.5767 | 0.7594 |
| No log | 2.0317 | 128 | 0.5939 | 0.6404 | 0.5939 | 0.7707 |
| No log | 2.0635 | 130 | 0.5903 | 0.6569 | 0.5903 | 0.7683 |
| No log | 2.0952 | 132 | 0.6101 | 0.6666 | 0.6101 | 0.7811 |
| No log | 2.1270 | 134 | 0.6157 | 0.6692 | 0.6157 | 0.7847 |
| No log | 2.1587 | 136 | 0.5710 | 0.6717 | 0.5710 | 0.7556 |
| No log | 2.1905 | 138 | 0.6208 | 0.6880 | 0.6208 | 0.7879 |
| No log | 2.2222 | 140 | 0.6334 | 0.6652 | 0.6334 | 0.7959 |
| No log | 2.2540 | 142 | 0.5943 | 0.6858 | 0.5943 | 0.7709 |
| No log | 2.2857 | 144 | 0.5865 | 0.6961 | 0.5865 | 0.7659 |
| No log | 2.3175 | 146 | 0.5418 | 0.7370 | 0.5418 | 0.7361 |
| No log | 2.3492 | 148 | 0.5146 | 0.7316 | 0.5146 | 0.7173 |
| No log | 2.3810 | 150 | 0.5546 | 0.7339 | 0.5546 | 0.7447 |
| No log | 2.4127 | 152 | 0.5570 | 0.7118 | 0.5570 | 0.7463 |
| No log | 2.4444 | 154 | 0.5945 | 0.7233 | 0.5945 | 0.7711 |
| No log | 2.4762 | 156 | 0.5585 | 0.7246 | 0.5585 | 0.7473 |
| No log | 2.5079 | 158 | 0.5266 | 0.7498 | 0.5266 | 0.7257 |
| No log | 2.5397 | 160 | 0.6476 | 0.7283 | 0.6476 | 0.8047 |
| No log | 2.5714 | 162 | 0.7600 | 0.6454 | 0.7600 | 0.8718 |
| No log | 2.6032 | 164 | 0.6772 | 0.7119 | 0.6772 | 0.8229 |
| No log | 2.6349 | 166 | 0.6198 | 0.6999 | 0.6198 | 0.7873 |
| No log | 2.6667 | 168 | 0.5447 | 0.7510 | 0.5447 | 0.7380 |
| No log | 2.6984 | 170 | 0.5688 | 0.6990 | 0.5688 | 0.7542 |
| No log | 2.7302 | 172 | 0.6030 | 0.7179 | 0.6030 | 0.7765 |
| No log | 2.7619 | 174 | 0.5754 | 0.7363 | 0.5754 | 0.7585 |
| No log | 2.7937 | 176 | 0.5998 | 0.7238 | 0.5998 | 0.7745 |
| No log | 2.8254 | 178 | 0.7116 | 0.6511 | 0.7116 | 0.8436 |
| No log | 2.8571 | 180 | 0.6837 | 0.6480 | 0.6837 | 0.8268 |
| No log | 2.8889 | 182 | 0.5720 | 0.7441 | 0.5720 | 0.7563 |
| No log | 2.9206 | 184 | 0.6311 | 0.7190 | 0.6311 | 0.7944 |
| No log | 2.9524 | 186 | 0.8523 | 0.6457 | 0.8523 | 0.9232 |
| No log | 2.9841 | 188 | 1.0074 | 0.5276 | 1.0074 | 1.0037 |
| No log | 3.0159 | 190 | 0.9778 | 0.5679 | 0.9778 | 0.9889 |
| No log | 3.0476 | 192 | 0.8686 | 0.6227 | 0.8686 | 0.9320 |
| No log | 3.0794 | 194 | 0.7872 | 0.6645 | 0.7872 | 0.8872 |
| No log | 3.1111 | 196 | 0.7205 | 0.7185 | 0.7205 | 0.8488 |
| No log | 3.1429 | 198 | 0.7554 | 0.6850 | 0.7554 | 0.8692 |
| No log | 3.1746 | 200 | 0.8529 | 0.6035 | 0.8529 | 0.9235 |
| No log | 3.2063 | 202 | 0.9469 | 0.5636 | 0.9469 | 0.9731 |
| No log | 3.2381 | 204 | 0.8802 | 0.5932 | 0.8802 | 0.9382 |
| No log | 3.2698 | 206 | 0.8139 | 0.6249 | 0.8139 | 0.9021 |
| No log | 3.3016 | 208 | 0.7552 | 0.6722 | 0.7552 | 0.8690 |
| No log | 3.3333 | 210 | 0.6780 | 0.6985 | 0.6780 | 0.8234 |
| No log | 3.3651 | 212 | 0.6194 | 0.7294 | 0.6194 | 0.7870 |
| No log | 3.3968 | 214 | 0.6056 | 0.7358 | 0.6056 | 0.7782 |
| No log | 3.4286 | 216 | 0.5996 | 0.7219 | 0.5996 | 0.7743 |
| No log | 3.4603 | 218 | 0.5996 | 0.7214 | 0.5996 | 0.7744 |
| No log | 3.4921 | 220 | 0.6322 | 0.7395 | 0.6322 | 0.7951 |
| No log | 3.5238 | 222 | 0.6439 | 0.7265 | 0.6439 | 0.8024 |
| No log | 3.5556 | 224 | 0.6159 | 0.7143 | 0.6159 | 0.7848 |
| No log | 3.5873 | 226 | 0.5605 | 0.7226 | 0.5605 | 0.7486 |
| No log | 3.6190 | 228 | 0.5337 | 0.7300 | 0.5337 | 0.7306 |
| No log | 3.6508 | 230 | 0.5436 | 0.7398 | 0.5436 | 0.7373 |
| No log | 3.6825 | 232 | 0.5816 | 0.7456 | 0.5816 | 0.7626 |
| No log | 3.7143 | 234 | 0.6235 | 0.7334 | 0.6235 | 0.7896 |
| No log | 3.7460 | 236 | 0.6107 | 0.7355 | 0.6107 | 0.7815 |
| No log | 3.7778 | 238 | 0.5432 | 0.7608 | 0.5432 | 0.7370 |
| No log | 3.8095 | 240 | 0.5068 | 0.7534 | 0.5068 | 0.7119 |
| No log | 3.8413 | 242 | 0.5086 | 0.7503 | 0.5086 | 0.7131 |
| No log | 3.8730 | 244 | 0.5269 | 0.7756 | 0.5269 | 0.7259 |
| No log | 3.9048 | 246 | 0.5073 | 0.7466 | 0.5073 | 0.7123 |
| No log | 3.9365 | 248 | 0.5339 | 0.7433 | 0.5339 | 0.7307 |
| No log | 3.9683 | 250 | 0.6607 | 0.7219 | 0.6607 | 0.8128 |
| No log | 4.0 | 252 | 0.7048 | 0.7304 | 0.7048 | 0.8395 |
| No log | 4.0317 | 254 | 0.6287 | 0.7371 | 0.6287 | 0.7929 |
| No log | 4.0635 | 256 | 0.5380 | 0.7429 | 0.5380 | 0.7335 |
| No log | 4.0952 | 258 | 0.5161 | 0.7546 | 0.5161 | 0.7184 |
| No log | 4.1270 | 260 | 0.5214 | 0.7604 | 0.5214 | 0.7221 |
| No log | 4.1587 | 262 | 0.5570 | 0.7379 | 0.5570 | 0.7463 |
| No log | 4.1905 | 264 | 0.5979 | 0.7228 | 0.5979 | 0.7732 |
| No log | 4.2222 | 266 | 0.6901 | 0.7118 | 0.6901 | 0.8307 |
| No log | 4.2540 | 268 | 0.7164 | 0.7118 | 0.7164 | 0.8464 |
| No log | 4.2857 | 270 | 0.7404 | 0.7138 | 0.7404 | 0.8605 |
| No log | 4.3175 | 272 | 0.7576 | 0.6783 | 0.7576 | 0.8704 |
| No log | 4.3492 | 274 | 0.8438 | 0.6197 | 0.8438 | 0.9186 |
| No log | 4.3810 | 276 | 0.8571 | 0.6202 | 0.8571 | 0.9258 |
| No log | 4.4127 | 278 | 0.7794 | 0.6504 | 0.7794 | 0.8828 |
| No log | 4.4444 | 280 | 0.6718 | 0.7142 | 0.6718 | 0.8196 |
| No log | 4.4762 | 282 | 0.6199 | 0.7319 | 0.6199 | 0.7873 |
| No log | 4.5079 | 284 | 0.6107 | 0.7340 | 0.6107 | 0.7815 |
| No log | 4.5397 | 286 | 0.6218 | 0.7381 | 0.6218 | 0.7886 |
| No log | 4.5714 | 288 | 0.6582 | 0.7374 | 0.6582 | 0.8113 |
| No log | 4.6032 | 290 | 0.6868 | 0.7151 | 0.6868 | 0.8288 |
| No log | 4.6349 | 292 | 0.7479 | 0.6796 | 0.7479 | 0.8648 |
| No log | 4.6667 | 294 | 0.7179 | 0.6876 | 0.7179 | 0.8473 |
| No log | 4.6984 | 296 | 0.6505 | 0.7290 | 0.6505 | 0.8065 |
| No log | 4.7302 | 298 | 0.6060 | 0.7295 | 0.6060 | 0.7785 |
| No log | 4.7619 | 300 | 0.6199 | 0.7295 | 0.6199 | 0.7873 |
| No log | 4.7937 | 302 | 0.6569 | 0.7300 | 0.6569 | 0.8105 |
| No log | 4.8254 | 304 | 0.6416 | 0.7226 | 0.6416 | 0.8010 |
| No log | 4.8571 | 306 | 0.6190 | 0.7326 | 0.6190 | 0.7868 |
| No log | 4.8889 | 308 | 0.6205 | 0.7284 | 0.6205 | 0.7877 |
| No log | 4.9206 | 310 | 0.5968 | 0.7247 | 0.5968 | 0.7725 |
| No log | 4.9524 | 312 | 0.5891 | 0.7363 | 0.5891 | 0.7675 |
| No log | 4.9841 | 314 | 0.6165 | 0.7324 | 0.6165 | 0.7852 |
| No log | 5.0159 | 316 | 0.6111 | 0.7218 | 0.6111 | 0.7818 |
| No log | 5.0476 | 318 | 0.6058 | 0.7200 | 0.6058 | 0.7783 |
| No log | 5.0794 | 320 | 0.5960 | 0.7133 | 0.5960 | 0.7720 |
| No log | 5.1111 | 322 | 0.5740 | 0.7490 | 0.5740 | 0.7576 |
| No log | 5.1429 | 324 | 0.5666 | 0.7490 | 0.5666 | 0.7528 |
| No log | 5.1746 | 326 | 0.5636 | 0.7453 | 0.5636 | 0.7507 |
| No log | 5.2063 | 328 | 0.5849 | 0.7410 | 0.5849 | 0.7648 |
| No log | 5.2381 | 330 | 0.5898 | 0.7451 | 0.5898 | 0.7680 |
| No log | 5.2698 | 332 | 0.5844 | 0.7451 | 0.5844 | 0.7644 |
| No log | 5.3016 | 334 | 0.6019 | 0.7507 | 0.6019 | 0.7758 |
| No log | 5.3333 | 336 | 0.6459 | 0.7061 | 0.6459 | 0.8037 |
| No log | 5.3651 | 338 | 0.7611 | 0.6966 | 0.7611 | 0.8724 |
| No log | 5.3968 | 340 | 0.8269 | 0.6811 | 0.8269 | 0.9093 |
| No log | 5.4286 | 342 | 0.7891 | 0.6871 | 0.7891 | 0.8883 |
| No log | 5.4603 | 344 | 0.6944 | 0.7004 | 0.6944 | 0.8333 |
| No log | 5.4921 | 346 | 0.6078 | 0.7320 | 0.6078 | 0.7796 |
| No log | 5.5238 | 348 | 0.5799 | 0.7343 | 0.5799 | 0.7615 |
| No log | 5.5556 | 350 | 0.5813 | 0.7313 | 0.5813 | 0.7624 |
| No log | 5.5873 | 352 | 0.5803 | 0.7280 | 0.5803 | 0.7618 |
| No log | 5.6190 | 354 | 0.5808 | 0.7374 | 0.5808 | 0.7621 |
| No log | 5.6508 | 356 | 0.5968 | 0.7226 | 0.5968 | 0.7725 |
| No log | 5.6825 | 358 | 0.6287 | 0.7297 | 0.6287 | 0.7929 |
| No log | 5.7143 | 360 | 0.6199 | 0.7297 | 0.6199 | 0.7873 |
| No log | 5.7460 | 362 | 0.5836 | 0.7228 | 0.5836 | 0.7640 |
| No log | 5.7778 | 364 | 0.5533 | 0.7487 | 0.5533 | 0.7439 |
| No log | 5.8095 | 366 | 0.5516 | 0.7530 | 0.5516 | 0.7427 |
| No log | 5.8413 | 368 | 0.5553 | 0.7338 | 0.5553 | 0.7452 |
| No log | 5.8730 | 370 | 0.5990 | 0.7346 | 0.5990 | 0.7739 |
| No log | 5.9048 | 372 | 0.6855 | 0.7258 | 0.6855 | 0.8279 |
| No log | 5.9365 | 374 | 0.7306 | 0.7073 | 0.7306 | 0.8548 |
| No log | 5.9683 | 376 | 0.6987 | 0.7389 | 0.6987 | 0.8359 |
| No log | 6.0 | 378 | 0.6296 | 0.7278 | 0.6296 | 0.7935 |
| No log | 6.0317 | 380 | 0.5869 | 0.7251 | 0.5869 | 0.7661 |
| No log | 6.0635 | 382 | 0.5502 | 0.7400 | 0.5502 | 0.7417 |
| No log | 6.0952 | 384 | 0.5410 | 0.7518 | 0.5410 | 0.7355 |
| No log | 6.1270 | 386 | 0.5564 | 0.7418 | 0.5564 | 0.7459 |
| No log | 6.1587 | 388 | 0.5923 | 0.7398 | 0.5923 | 0.7696 |
| No log | 6.1905 | 390 | 0.6576 | 0.7171 | 0.6576 | 0.8109 |
| No log | 6.2222 | 392 | 0.6653 | 0.7132 | 0.6653 | 0.8157 |
| No log | 6.2540 | 394 | 0.6299 | 0.7400 | 0.6299 | 0.7937 |
| No log | 6.2857 | 396 | 0.6414 | 0.7337 | 0.6414 | 0.8008 |
| No log | 6.3175 | 398 | 0.6472 | 0.7317 | 0.6472 | 0.8045 |
| No log | 6.3492 | 400 | 0.6528 | 0.7311 | 0.6528 | 0.8079 |
| No log | 6.3810 | 402 | 0.6138 | 0.7202 | 0.6138 | 0.7835 |
| No log | 6.4127 | 404 | 0.6155 | 0.7238 | 0.6155 | 0.7845 |
| No log | 6.4444 | 406 | 0.6322 | 0.7222 | 0.6322 | 0.7951 |
| No log | 6.4762 | 408 | 0.6723 | 0.7016 | 0.6723 | 0.8199 |
| No log | 6.5079 | 410 | 0.7127 | 0.6876 | 0.7127 | 0.8442 |
| No log | 6.5397 | 412 | 0.7275 | 0.6788 | 0.7275 | 0.8529 |
| No log | 6.5714 | 414 | 0.6883 | 0.6977 | 0.6883 | 0.8296 |
| No log | 6.6032 | 416 | 0.6892 | 0.6878 | 0.6892 | 0.8302 |
| No log | 6.6349 | 418 | 0.7284 | 0.7076 | 0.7284 | 0.8535 |
| No log | 6.6667 | 420 | 0.7910 | 0.6959 | 0.7910 | 0.8894 |
| No log | 6.6984 | 422 | 0.8368 | 0.6691 | 0.8368 | 0.9148 |
| No log | 6.7302 | 424 | 0.8314 | 0.6676 | 0.8314 | 0.9118 |
| No log | 6.7619 | 426 | 0.8533 | 0.6636 | 0.8533 | 0.9238 |
| No log | 6.7937 | 428 | 0.8113 | 0.6667 | 0.8113 | 0.9007 |
| No log | 6.8254 | 430 | 0.7232 | 0.7151 | 0.7232 | 0.8504 |
| No log | 6.8571 | 432 | 0.6478 | 0.7263 | 0.6478 | 0.8049 |
| No log | 6.8889 | 434 | 0.6284 | 0.7540 | 0.6284 | 0.7927 |
| No log | 6.9206 | 436 | 0.6116 | 0.7514 | 0.6116 | 0.7820 |
| No log | 6.9524 | 438 | 0.6252 | 0.7506 | 0.6252 | 0.7907 |
| No log | 6.9841 | 440 | 0.6366 | 0.7415 | 0.6366 | 0.7979 |
| No log | 7.0159 | 442 | 0.6750 | 0.7276 | 0.6750 | 0.8216 |
| No log | 7.0476 | 444 | 0.6765 | 0.7249 | 0.6765 | 0.8225 |
| No log | 7.0794 | 446 | 0.6570 | 0.7433 | 0.6570 | 0.8106 |
| No log | 7.1111 | 448 | 0.6319 | 0.7637 | 0.6319 | 0.7949 |
| No log | 7.1429 | 450 | 0.6260 | 0.7580 | 0.6260 | 0.7912 |
| No log | 7.1746 | 452 | 0.6086 | 0.7548 | 0.6086 | 0.7801 |
| No log | 7.2063 | 454 | 0.5784 | 0.7445 | 0.5784 | 0.7605 |
| No log | 7.2381 | 456 | 0.5541 | 0.7457 | 0.5541 | 0.7444 |
| No log | 7.2698 | 458 | 0.5478 | 0.7457 | 0.5478 | 0.7401 |
| No log | 7.3016 | 460 | 0.5586 | 0.7457 | 0.5586 | 0.7474 |
| No log | 7.3333 | 462 | 0.5857 | 0.7562 | 0.5857 | 0.7653 |
| No log | 7.3651 | 464 | 0.6143 | 0.7385 | 0.6143 | 0.7838 |
| No log | 7.3968 | 466 | 0.6433 | 0.7332 | 0.6433 | 0.8021 |
| No log | 7.4286 | 468 | 0.6543 | 0.7241 | 0.6543 | 0.8089 |
| No log | 7.4603 | 470 | 0.6606 | 0.7206 | 0.6606 | 0.8128 |
| No log | 7.4921 | 472 | 0.6925 | 0.7222 | 0.6925 | 0.8322 |
| No log | 7.5238 | 474 | 0.7469 | 0.7286 | 0.7469 | 0.8642 |
| No log | 7.5556 | 476 | 0.8097 | 0.6999 | 0.8097 | 0.8998 |
| No log | 7.5873 | 478 | 0.8737 | 0.6902 | 0.8737 | 0.9347 |
| No log | 7.6190 | 480 | 0.8708 | 0.6902 | 0.8708 | 0.9332 |
| No log | 7.6508 | 482 | 0.8122 | 0.6993 | 0.8122 | 0.9012 |
| No log | 7.6825 | 484 | 0.7435 | 0.7168 | 0.7435 | 0.8623 |
| No log | 7.7143 | 486 | 0.7010 | 0.7114 | 0.7010 | 0.8372 |
| No log | 7.7460 | 488 | 0.6766 | 0.7086 | 0.6766 | 0.8225 |
| No log | 7.7778 | 490 | 0.6640 | 0.7039 | 0.6640 | 0.8148 |
| No log | 7.8095 | 492 | 0.6622 | 0.7193 | 0.6622 | 0.8138 |
| No log | 7.8413 | 494 | 0.6727 | 0.7071 | 0.6727 | 0.8202 |
| No log | 7.8730 | 496 | 0.7032 | 0.6952 | 0.7032 | 0.8386 |
| No log | 7.9048 | 498 | 0.7675 | 0.6846 | 0.7675 | 0.8761 |
| 0.4861 | 7.9365 | 500 | 0.8297 | 0.6524 | 0.8297 | 0.9109 |
| 0.4861 | 7.9683 | 502 | 0.8405 | 0.6580 | 0.8405 | 0.9168 |
| 0.4861 | 8.0 | 504 | 0.8282 | 0.6524 | 0.8282 | 0.9101 |
| 0.4861 | 8.0317 | 506 | 0.8006 | 0.6635 | 0.8006 | 0.8948 |
| 0.4861 | 8.0635 | 508 | 0.7426 | 0.6841 | 0.7426 | 0.8617 |
| 0.4861 | 8.0952 | 510 | 0.6995 | 0.6891 | 0.6995 | 0.8363 |
| 0.4861 | 8.1270 | 512 | 0.6560 | 0.7112 | 0.6560 | 0.8099 |
| 0.4861 | 8.1587 | 514 | 0.6401 | 0.7154 | 0.6401 | 0.8001 |
| 0.4861 | 8.1905 | 516 | 0.6441 | 0.7112 | 0.6441 | 0.8026 |
| 0.4861 | 8.2222 | 518 | 0.6676 | 0.7100 | 0.6676 | 0.8171 |
| 0.4861 | 8.2540 | 520 | 0.6920 | 0.7056 | 0.6920 | 0.8319 |
| 0.4861 | 8.2857 | 522 | 0.7272 | 0.7056 | 0.7272 | 0.8528 |
| 0.4861 | 8.3175 | 524 | 0.7602 | 0.7162 | 0.7602 | 0.8719 |
| 0.4861 | 8.3492 | 526 | 0.7705 | 0.7060 | 0.7705 | 0.8778 |
| 0.4861 | 8.3810 | 528 | 0.7846 | 0.7064 | 0.7846 | 0.8858 |
| 0.4861 | 8.4127 | 530 | 0.7719 | 0.6966 | 0.7719 | 0.8786 |
| 0.4861 | 8.4444 | 532 | 0.7466 | 0.7079 | 0.7466 | 0.8640 |
| 0.4861 | 8.4762 | 534 | 0.7074 | 0.7082 | 0.7074 | 0.8410 |
| 0.4861 | 8.5079 | 536 | 0.6635 | 0.7175 | 0.6635 | 0.8145 |
| 0.4861 | 8.5397 | 538 | 0.6244 | 0.7143 | 0.6244 | 0.7902 |
| 0.4861 | 8.5714 | 540 | 0.6000 | 0.7399 | 0.6000 | 0.7746 |
| 0.4861 | 8.6032 | 542 | 0.5910 | 0.7303 | 0.5910 | 0.7687 |
| 0.4861 | 8.6349 | 544 | 0.5828 | 0.7242 | 0.5828 | 0.7634 |
| 0.4861 | 8.6667 | 546 | 0.5780 | 0.7242 | 0.5780 | 0.7603 |
| 0.4861 | 8.6984 | 548 | 0.5788 | 0.7242 | 0.5788 | 0.7608 |
| 0.4861 | 8.7302 | 550 | 0.5907 | 0.7198 | 0.5907 | 0.7686 |
| 0.4861 | 8.7619 | 552 | 0.6140 | 0.7126 | 0.6140 | 0.7836 |
| 0.4861 | 8.7937 | 554 | 0.6445 | 0.7117 | 0.6445 | 0.8028 |
| 0.4861 | 8.8254 | 556 | 0.6835 | 0.7169 | 0.6835 | 0.8268 |
| 0.4861 | 8.8571 | 558 | 0.7064 | 0.7244 | 0.7064 | 0.8405 |
| 0.4861 | 8.8889 | 560 | 0.7257 | 0.7118 | 0.7257 | 0.8519 |
| 0.4861 | 8.9206 | 562 | 0.7408 | 0.7098 | 0.7408 | 0.8607 |
| 0.4861 | 8.9524 | 564 | 0.7561 | 0.7015 | 0.7561 | 0.8695 |
| 0.4861 | 8.9841 | 566 | 0.7491 | 0.7142 | 0.7491 | 0.8655 |
| 0.4861 | 9.0159 | 568 | 0.7435 | 0.7189 | 0.7435 | 0.8622 |
| 0.4861 | 9.0476 | 570 | 0.7416 | 0.7189 | 0.7416 | 0.8612 |
| 0.4861 | 9.0794 | 572 | 0.7310 | 0.7119 | 0.7310 | 0.8550 |
| 0.4861 | 9.1111 | 574 | 0.7116 | 0.7119 | 0.7116 | 0.8435 |
| 0.4861 | 9.1429 | 576 | 0.6961 | 0.7168 | 0.6961 | 0.8343 |
| 0.4861 | 9.1746 | 578 | 0.6886 | 0.7168 | 0.6886 | 0.8298 |
| 0.4861 | 9.2063 | 580 | 0.6821 | 0.7187 | 0.6821 | 0.8259 |
| 0.4861 | 9.2381 | 582 | 0.6857 | 0.7201 | 0.6857 | 0.8281 |
| 0.4861 | 9.2698 | 584 | 0.6955 | 0.7119 | 0.6955 | 0.8340 |
| 0.4861 | 9.3016 | 586 | 0.7038 | 0.7119 | 0.7038 | 0.8389 |
| 0.4861 | 9.3333 | 588 | 0.7072 | 0.7154 | 0.7072 | 0.8409 |
| 0.4861 | 9.3651 | 590 | 0.7101 | 0.7154 | 0.7101 | 0.8427 |
| 0.4861 | 9.3968 | 592 | 0.7190 | 0.7154 | 0.7190 | 0.8479 |
| 0.4861 | 9.4286 | 594 | 0.7234 | 0.7170 | 0.7234 | 0.8505 |
| 0.4861 | 9.4603 | 596 | 0.7205 | 0.7189 | 0.7205 | 0.8488 |
| 0.4861 | 9.4921 | 598 | 0.7091 | 0.7189 | 0.7091 | 0.8421 |
| 0.4861 | 9.5238 | 600 | 0.6967 | 0.7110 | 0.6967 | 0.8347 |
| 0.4861 | 9.5556 | 602 | 0.6835 | 0.7113 | 0.6835 | 0.8267 |
| 0.4861 | 9.5873 | 604 | 0.6701 | 0.7113 | 0.6701 | 0.8186 |
| 0.4861 | 9.6190 | 606 | 0.6564 | 0.7155 | 0.6564 | 0.8102 |
| 0.4861 | 9.6508 | 608 | 0.6435 | 0.7175 | 0.6435 | 0.8022 |
| 0.4861 | 9.6825 | 610 | 0.6367 | 0.7136 | 0.6367 | 0.7979 |
| 0.4861 | 9.7143 | 612 | 0.6309 | 0.7097 | 0.6309 | 0.7943 |
| 0.4861 | 9.7460 | 614 | 0.6279 | 0.7036 | 0.6279 | 0.7924 |
| 0.4861 | 9.7778 | 616 | 0.6289 | 0.7097 | 0.6289 | 0.7930 |
| 0.4861 | 9.8095 | 618 | 0.6299 | 0.7179 | 0.6299 | 0.7936 |
| 0.4861 | 9.8413 | 620 | 0.6320 | 0.7179 | 0.6320 | 0.7950 |
| 0.4861 | 9.8730 | 622 | 0.6351 | 0.7136 | 0.6351 | 0.7969 |
| 0.4861 | 9.9048 | 624 | 0.6382 | 0.7136 | 0.6382 | 0.7989 |
| 0.4861 | 9.9365 | 626 | 0.6409 | 0.7175 | 0.6409 | 0.8006 |
| 0.4861 | 9.9683 | 628 | 0.6421 | 0.7175 | 0.6421 | 0.8013 |
| 0.4861 | 10.0 | 630 | 0.6426 | 0.7175 | 0.6426 | 0.8016 |
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/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k10_task1_organization
Base model
aubmindlab/bert-base-arabertv02