Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k11_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k11_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k11_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k11_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k11_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k11_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: 0.6358
- Qwk: 0.7016
- Mse: 0.6358
- Rmse: 0.7974
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 | 5.1392 | -0.0067 | 5.1392 | 2.2670 |
| No log | 0.0727 | 4 | 3.4861 | 0.0539 | 3.4861 | 1.8671 |
| No log | 0.1091 | 6 | 2.1516 | 0.0937 | 2.1516 | 1.4668 |
| No log | 0.1455 | 8 | 2.2365 | -0.0662 | 2.2365 | 1.4955 |
| No log | 0.1818 | 10 | 2.0478 | -0.0223 | 2.0478 | 1.4310 |
| No log | 0.2182 | 12 | 1.4138 | 0.0318 | 1.4138 | 1.1891 |
| No log | 0.2545 | 14 | 1.2144 | 0.2511 | 1.2144 | 1.1020 |
| No log | 0.2909 | 16 | 1.1762 | 0.2689 | 1.1762 | 1.0845 |
| No log | 0.3273 | 18 | 1.2036 | 0.1799 | 1.2036 | 1.0971 |
| No log | 0.3636 | 20 | 1.1861 | 0.2466 | 1.1861 | 1.0891 |
| No log | 0.4 | 22 | 1.3224 | 0.2065 | 1.3224 | 1.1499 |
| No log | 0.4364 | 24 | 1.3460 | 0.2161 | 1.3460 | 1.1602 |
| No log | 0.4727 | 26 | 1.2813 | 0.2014 | 1.2813 | 1.1319 |
| No log | 0.5091 | 28 | 1.1467 | 0.1771 | 1.1467 | 1.0708 |
| No log | 0.5455 | 30 | 1.1080 | 0.2063 | 1.1080 | 1.0526 |
| No log | 0.5818 | 32 | 1.0879 | 0.2260 | 1.0879 | 1.0430 |
| No log | 0.6182 | 34 | 1.1438 | 0.1571 | 1.1438 | 1.0695 |
| No log | 0.6545 | 36 | 1.3036 | 0.1705 | 1.3036 | 1.1417 |
| No log | 0.6909 | 38 | 1.5827 | 0.1227 | 1.5827 | 1.2581 |
| No log | 0.7273 | 40 | 1.7646 | 0.1293 | 1.7646 | 1.3284 |
| No log | 0.7636 | 42 | 1.9130 | 0.1616 | 1.9130 | 1.3831 |
| No log | 0.8 | 44 | 1.9479 | 0.2186 | 1.9479 | 1.3957 |
| No log | 0.8364 | 46 | 1.7110 | 0.1964 | 1.7110 | 1.3080 |
| No log | 0.8727 | 48 | 1.4645 | 0.2325 | 1.4645 | 1.2102 |
| No log | 0.9091 | 50 | 1.2004 | 0.2781 | 1.2004 | 1.0956 |
| No log | 0.9455 | 52 | 1.0890 | 0.2849 | 1.0890 | 1.0436 |
| No log | 0.9818 | 54 | 1.0120 | 0.3425 | 1.0120 | 1.0060 |
| No log | 1.0182 | 56 | 1.0072 | 0.3518 | 1.0072 | 1.0036 |
| No log | 1.0545 | 58 | 1.0032 | 0.4015 | 1.0032 | 1.0016 |
| No log | 1.0909 | 60 | 1.0386 | 0.3354 | 1.0386 | 1.0191 |
| No log | 1.1273 | 62 | 1.1162 | 0.3064 | 1.1162 | 1.0565 |
| No log | 1.1636 | 64 | 1.2025 | 0.2792 | 1.2025 | 1.0966 |
| No log | 1.2 | 66 | 1.2507 | 0.3379 | 1.2507 | 1.1183 |
| No log | 1.2364 | 68 | 1.2100 | 0.3571 | 1.2100 | 1.1000 |
| No log | 1.2727 | 70 | 1.1521 | 0.4092 | 1.1521 | 1.0734 |
| No log | 1.3091 | 72 | 1.1114 | 0.3684 | 1.1114 | 1.0542 |
| No log | 1.3455 | 74 | 1.0936 | 0.3982 | 1.0936 | 1.0458 |
| No log | 1.3818 | 76 | 1.2286 | 0.4001 | 1.2286 | 1.1084 |
| No log | 1.4182 | 78 | 1.4361 | 0.4025 | 1.4361 | 1.1984 |
| No log | 1.4545 | 80 | 1.7897 | 0.2411 | 1.7897 | 1.3378 |
| No log | 1.4909 | 82 | 2.0414 | 0.1682 | 2.0414 | 1.4288 |
| No log | 1.5273 | 84 | 2.0917 | 0.1833 | 2.0917 | 1.4463 |
| No log | 1.5636 | 86 | 2.0443 | 0.2135 | 2.0443 | 1.4298 |
| No log | 1.6 | 88 | 1.8870 | 0.2639 | 1.8870 | 1.3737 |
| No log | 1.6364 | 90 | 1.5579 | 0.3141 | 1.5579 | 1.2481 |
| No log | 1.6727 | 92 | 1.1669 | 0.4397 | 1.1669 | 1.0802 |
| No log | 1.7091 | 94 | 1.0439 | 0.4704 | 1.0439 | 1.0217 |
| No log | 1.7455 | 96 | 1.1243 | 0.4672 | 1.1243 | 1.0603 |
| No log | 1.7818 | 98 | 1.1936 | 0.4083 | 1.1936 | 1.0925 |
| No log | 1.8182 | 100 | 1.0772 | 0.4058 | 1.0772 | 1.0379 |
| No log | 1.8545 | 102 | 0.8974 | 0.4922 | 0.8974 | 0.9473 |
| No log | 1.8909 | 104 | 0.8681 | 0.5349 | 0.8681 | 0.9317 |
| No log | 1.9273 | 106 | 0.8717 | 0.5560 | 0.8717 | 0.9336 |
| No log | 1.9636 | 108 | 0.8880 | 0.5434 | 0.8880 | 0.9423 |
| No log | 2.0 | 110 | 0.8265 | 0.5273 | 0.8265 | 0.9091 |
| No log | 2.0364 | 112 | 0.8233 | 0.5802 | 0.8233 | 0.9074 |
| No log | 2.0727 | 114 | 0.8012 | 0.5766 | 0.8012 | 0.8951 |
| No log | 2.1091 | 116 | 0.8591 | 0.5664 | 0.8591 | 0.9269 |
| No log | 2.1455 | 118 | 1.1389 | 0.4973 | 1.1389 | 1.0672 |
| No log | 2.1818 | 120 | 1.2675 | 0.4331 | 1.2675 | 1.1258 |
| No log | 2.2182 | 122 | 1.1908 | 0.4802 | 1.1908 | 1.0913 |
| No log | 2.2545 | 124 | 1.1161 | 0.5112 | 1.1161 | 1.0565 |
| No log | 2.2909 | 126 | 1.1475 | 0.5239 | 1.1475 | 1.0712 |
| No log | 2.3273 | 128 | 1.0981 | 0.5455 | 1.0981 | 1.0479 |
| No log | 2.3636 | 130 | 0.9695 | 0.5855 | 0.9695 | 0.9846 |
| No log | 2.4 | 132 | 0.8730 | 0.5941 | 0.8730 | 0.9343 |
| No log | 2.4364 | 134 | 0.8526 | 0.5826 | 0.8526 | 0.9234 |
| No log | 2.4727 | 136 | 0.7723 | 0.6704 | 0.7723 | 0.8788 |
| No log | 2.5091 | 138 | 0.7019 | 0.6529 | 0.7019 | 0.8378 |
| No log | 2.5455 | 140 | 0.7077 | 0.6578 | 0.7077 | 0.8412 |
| No log | 2.5818 | 142 | 0.6575 | 0.6548 | 0.6575 | 0.8109 |
| No log | 2.6182 | 144 | 0.6201 | 0.7080 | 0.6201 | 0.7875 |
| No log | 2.6545 | 146 | 0.7045 | 0.6563 | 0.7045 | 0.8393 |
| No log | 2.6909 | 148 | 0.8353 | 0.5756 | 0.8353 | 0.9139 |
| No log | 2.7273 | 150 | 0.8747 | 0.5111 | 0.8747 | 0.9353 |
| No log | 2.7636 | 152 | 0.8137 | 0.5793 | 0.8137 | 0.9020 |
| No log | 2.8 | 154 | 0.7810 | 0.5956 | 0.7810 | 0.8837 |
| No log | 2.8364 | 156 | 0.8989 | 0.6201 | 0.8989 | 0.9481 |
| No log | 2.8727 | 158 | 0.9723 | 0.5758 | 0.9723 | 0.9860 |
| No log | 2.9091 | 160 | 0.9111 | 0.5958 | 0.9111 | 0.9545 |
| No log | 2.9455 | 162 | 0.8016 | 0.6393 | 0.8016 | 0.8953 |
| No log | 2.9818 | 164 | 0.7534 | 0.5985 | 0.7534 | 0.8680 |
| No log | 3.0182 | 166 | 0.7993 | 0.5927 | 0.7993 | 0.8940 |
| No log | 3.0545 | 168 | 0.8583 | 0.5998 | 0.8583 | 0.9264 |
| No log | 3.0909 | 170 | 0.9483 | 0.5841 | 0.9483 | 0.9738 |
| No log | 3.1273 | 172 | 1.0122 | 0.5511 | 1.0122 | 1.0061 |
| No log | 3.1636 | 174 | 0.9472 | 0.5741 | 0.9472 | 0.9732 |
| No log | 3.2 | 176 | 0.8349 | 0.6265 | 0.8349 | 0.9137 |
| No log | 3.2364 | 178 | 0.7823 | 0.6659 | 0.7823 | 0.8845 |
| No log | 3.2727 | 180 | 0.7095 | 0.6970 | 0.7095 | 0.8423 |
| No log | 3.3091 | 182 | 0.6797 | 0.6636 | 0.6797 | 0.8245 |
| No log | 3.3455 | 184 | 0.7306 | 0.6413 | 0.7306 | 0.8547 |
| No log | 3.3818 | 186 | 0.8273 | 0.5965 | 0.8273 | 0.9095 |
| No log | 3.4182 | 188 | 0.8342 | 0.5667 | 0.8342 | 0.9134 |
| No log | 3.4545 | 190 | 0.7733 | 0.6248 | 0.7733 | 0.8794 |
| No log | 3.4909 | 192 | 0.6994 | 0.6570 | 0.6994 | 0.8363 |
| No log | 3.5273 | 194 | 0.6641 | 0.7183 | 0.6641 | 0.8149 |
| No log | 3.5636 | 196 | 0.6593 | 0.7230 | 0.6593 | 0.8120 |
| No log | 3.6 | 198 | 0.6620 | 0.6776 | 0.6620 | 0.8137 |
| No log | 3.6364 | 200 | 0.6662 | 0.6828 | 0.6662 | 0.8162 |
| No log | 3.6727 | 202 | 0.7025 | 0.6482 | 0.7025 | 0.8382 |
| No log | 3.7091 | 204 | 0.7517 | 0.6212 | 0.7517 | 0.8670 |
| No log | 3.7455 | 206 | 0.7987 | 0.5935 | 0.7987 | 0.8937 |
| No log | 3.7818 | 208 | 0.7801 | 0.5945 | 0.7801 | 0.8832 |
| No log | 3.8182 | 210 | 0.7443 | 0.6410 | 0.7443 | 0.8627 |
| No log | 3.8545 | 212 | 0.7136 | 0.6745 | 0.7136 | 0.8448 |
| No log | 3.8909 | 214 | 0.7188 | 0.6800 | 0.7188 | 0.8478 |
| No log | 3.9273 | 216 | 0.7123 | 0.6713 | 0.7123 | 0.8440 |
| No log | 3.9636 | 218 | 0.7022 | 0.6828 | 0.7022 | 0.8380 |
| No log | 4.0 | 220 | 0.7151 | 0.6715 | 0.7151 | 0.8456 |
| No log | 4.0364 | 222 | 0.7282 | 0.6668 | 0.7282 | 0.8533 |
| No log | 4.0727 | 224 | 0.7521 | 0.6657 | 0.7521 | 0.8672 |
| No log | 4.1091 | 226 | 0.7572 | 0.6392 | 0.7572 | 0.8702 |
| No log | 4.1455 | 228 | 0.7498 | 0.6392 | 0.7498 | 0.8659 |
| No log | 4.1818 | 230 | 0.7485 | 0.6646 | 0.7485 | 0.8652 |
| No log | 4.2182 | 232 | 0.7732 | 0.6487 | 0.7732 | 0.8793 |
| No log | 4.2545 | 234 | 0.7808 | 0.6590 | 0.7808 | 0.8836 |
| No log | 4.2909 | 236 | 0.7551 | 0.6662 | 0.7551 | 0.8690 |
| No log | 4.3273 | 238 | 0.7099 | 0.6910 | 0.7099 | 0.8426 |
| No log | 4.3636 | 240 | 0.6710 | 0.7227 | 0.6710 | 0.8192 |
| No log | 4.4 | 242 | 0.6524 | 0.7033 | 0.6524 | 0.8077 |
| No log | 4.4364 | 244 | 0.6800 | 0.6854 | 0.6800 | 0.8246 |
| No log | 4.4727 | 246 | 0.6938 | 0.6740 | 0.6938 | 0.8329 |
| No log | 4.5091 | 248 | 0.6846 | 0.6766 | 0.6846 | 0.8274 |
| No log | 4.5455 | 250 | 0.6868 | 0.6552 | 0.6868 | 0.8287 |
| No log | 4.5818 | 252 | 0.6941 | 0.6592 | 0.6941 | 0.8331 |
| No log | 4.6182 | 254 | 0.6977 | 0.6725 | 0.6977 | 0.8353 |
| No log | 4.6545 | 256 | 0.6944 | 0.6619 | 0.6944 | 0.8333 |
| No log | 4.6909 | 258 | 0.6896 | 0.6926 | 0.6896 | 0.8304 |
| No log | 4.7273 | 260 | 0.6879 | 0.6890 | 0.6879 | 0.8294 |
| No log | 4.7636 | 262 | 0.6873 | 0.6926 | 0.6873 | 0.8290 |
| No log | 4.8 | 264 | 0.7048 | 0.6609 | 0.7048 | 0.8396 |
| No log | 4.8364 | 266 | 0.7159 | 0.6535 | 0.7159 | 0.8461 |
| No log | 4.8727 | 268 | 0.7171 | 0.6677 | 0.7171 | 0.8468 |
| No log | 4.9091 | 270 | 0.7476 | 0.6094 | 0.7476 | 0.8646 |
| No log | 4.9455 | 272 | 0.7532 | 0.6084 | 0.7532 | 0.8678 |
| No log | 4.9818 | 274 | 0.7459 | 0.6176 | 0.7459 | 0.8637 |
| No log | 5.0182 | 276 | 0.7509 | 0.6123 | 0.7509 | 0.8666 |
| No log | 5.0545 | 278 | 0.7527 | 0.6304 | 0.7527 | 0.8676 |
| No log | 5.0909 | 280 | 0.7336 | 0.6225 | 0.7336 | 0.8565 |
| No log | 5.1273 | 282 | 0.7108 | 0.6582 | 0.7108 | 0.8431 |
| No log | 5.1636 | 284 | 0.7085 | 0.6595 | 0.7085 | 0.8417 |
| No log | 5.2 | 286 | 0.7004 | 0.6739 | 0.7004 | 0.8369 |
| No log | 5.2364 | 288 | 0.6899 | 0.6918 | 0.6899 | 0.8306 |
| No log | 5.2727 | 290 | 0.6800 | 0.6884 | 0.6800 | 0.8246 |
| No log | 5.3091 | 292 | 0.6792 | 0.6871 | 0.6792 | 0.8242 |
| No log | 5.3455 | 294 | 0.6826 | 0.6856 | 0.6826 | 0.8262 |
| No log | 5.3818 | 296 | 0.6826 | 0.6762 | 0.6826 | 0.8262 |
| No log | 5.4182 | 298 | 0.6832 | 0.6736 | 0.6832 | 0.8266 |
| No log | 5.4545 | 300 | 0.6744 | 0.6624 | 0.6744 | 0.8212 |
| No log | 5.4909 | 302 | 0.6752 | 0.6696 | 0.6752 | 0.8217 |
| No log | 5.5273 | 304 | 0.6629 | 0.6746 | 0.6629 | 0.8142 |
| No log | 5.5636 | 306 | 0.6557 | 0.6859 | 0.6557 | 0.8098 |
| No log | 5.6 | 308 | 0.6551 | 0.6822 | 0.6551 | 0.8094 |
| No log | 5.6364 | 310 | 0.6628 | 0.6813 | 0.6628 | 0.8141 |
| No log | 5.6727 | 312 | 0.6629 | 0.6813 | 0.6629 | 0.8142 |
| No log | 5.7091 | 314 | 0.6534 | 0.6864 | 0.6534 | 0.8083 |
| No log | 5.7455 | 316 | 0.6553 | 0.6864 | 0.6553 | 0.8095 |
| No log | 5.7818 | 318 | 0.6585 | 0.6758 | 0.6585 | 0.8115 |
| No log | 5.8182 | 320 | 0.6518 | 0.6809 | 0.6518 | 0.8073 |
| No log | 5.8545 | 322 | 0.6446 | 0.6859 | 0.6446 | 0.8028 |
| No log | 5.8909 | 324 | 0.6395 | 0.7234 | 0.6395 | 0.7997 |
| No log | 5.9273 | 326 | 0.6493 | 0.6851 | 0.6493 | 0.8058 |
| No log | 5.9636 | 328 | 0.6797 | 0.6451 | 0.6797 | 0.8245 |
| No log | 6.0 | 330 | 0.7164 | 0.6261 | 0.7164 | 0.8464 |
| No log | 6.0364 | 332 | 0.7697 | 0.5866 | 0.7697 | 0.8773 |
| No log | 6.0727 | 334 | 0.7833 | 0.5972 | 0.7833 | 0.8850 |
| No log | 6.1091 | 336 | 0.7436 | 0.6082 | 0.7436 | 0.8623 |
| No log | 6.1455 | 338 | 0.6944 | 0.6876 | 0.6944 | 0.8333 |
| No log | 6.1818 | 340 | 0.6668 | 0.6925 | 0.6668 | 0.8166 |
| No log | 6.2182 | 342 | 0.6672 | 0.7080 | 0.6672 | 0.8168 |
| No log | 6.2545 | 344 | 0.6672 | 0.7066 | 0.6672 | 0.8168 |
| No log | 6.2909 | 346 | 0.6759 | 0.7146 | 0.6759 | 0.8221 |
| No log | 6.3273 | 348 | 0.6677 | 0.7115 | 0.6677 | 0.8171 |
| No log | 6.3636 | 350 | 0.6714 | 0.6769 | 0.6714 | 0.8194 |
| No log | 6.4 | 352 | 0.7252 | 0.6641 | 0.7252 | 0.8516 |
| No log | 6.4364 | 354 | 0.7570 | 0.6274 | 0.7570 | 0.8701 |
| No log | 6.4727 | 356 | 0.7352 | 0.6274 | 0.7352 | 0.8574 |
| No log | 6.5091 | 358 | 0.6772 | 0.6803 | 0.6772 | 0.8229 |
| No log | 6.5455 | 360 | 0.6518 | 0.6829 | 0.6518 | 0.8073 |
| No log | 6.5818 | 362 | 0.6491 | 0.6794 | 0.6491 | 0.8057 |
| No log | 6.6182 | 364 | 0.6714 | 0.6907 | 0.6714 | 0.8194 |
| No log | 6.6545 | 366 | 0.6865 | 0.6803 | 0.6865 | 0.8286 |
| No log | 6.6909 | 368 | 0.6789 | 0.6913 | 0.6789 | 0.8240 |
| No log | 6.7273 | 370 | 0.6737 | 0.6913 | 0.6737 | 0.8208 |
| No log | 6.7636 | 372 | 0.6620 | 0.6947 | 0.6620 | 0.8136 |
| No log | 6.8 | 374 | 0.6581 | 0.6750 | 0.6581 | 0.8112 |
| No log | 6.8364 | 376 | 0.6571 | 0.6854 | 0.6571 | 0.8106 |
| No log | 6.8727 | 378 | 0.6705 | 0.6729 | 0.6705 | 0.8188 |
| No log | 6.9091 | 380 | 0.6698 | 0.6755 | 0.6698 | 0.8184 |
| No log | 6.9455 | 382 | 0.6831 | 0.6642 | 0.6831 | 0.8265 |
| No log | 6.9818 | 384 | 0.6978 | 0.6740 | 0.6978 | 0.8354 |
| No log | 7.0182 | 386 | 0.7013 | 0.6671 | 0.7013 | 0.8374 |
| No log | 7.0545 | 388 | 0.6902 | 0.6983 | 0.6902 | 0.8308 |
| No log | 7.0909 | 390 | 0.6678 | 0.6994 | 0.6678 | 0.8172 |
| No log | 7.1273 | 392 | 0.6593 | 0.7050 | 0.6593 | 0.8120 |
| No log | 7.1636 | 394 | 0.6557 | 0.6904 | 0.6557 | 0.8098 |
| No log | 7.2 | 396 | 0.6497 | 0.6974 | 0.6497 | 0.8060 |
| No log | 7.2364 | 398 | 0.6452 | 0.6765 | 0.6452 | 0.8032 |
| No log | 7.2727 | 400 | 0.6387 | 0.6880 | 0.6387 | 0.7992 |
| No log | 7.3091 | 402 | 0.6318 | 0.6880 | 0.6318 | 0.7949 |
| No log | 7.3455 | 404 | 0.6272 | 0.6880 | 0.6272 | 0.7919 |
| No log | 7.3818 | 406 | 0.6227 | 0.6838 | 0.6227 | 0.7891 |
| No log | 7.4182 | 408 | 0.6221 | 0.6917 | 0.6221 | 0.7888 |
| No log | 7.4545 | 410 | 0.6295 | 0.6880 | 0.6295 | 0.7934 |
| No log | 7.4909 | 412 | 0.6613 | 0.6878 | 0.6613 | 0.8132 |
| No log | 7.5273 | 414 | 0.7112 | 0.6206 | 0.7112 | 0.8433 |
| No log | 7.5636 | 416 | 0.7574 | 0.6325 | 0.7574 | 0.8703 |
| No log | 7.6 | 418 | 0.7658 | 0.6325 | 0.7658 | 0.8751 |
| No log | 7.6364 | 420 | 0.7346 | 0.6033 | 0.7346 | 0.8571 |
| No log | 7.6727 | 422 | 0.6844 | 0.6759 | 0.6844 | 0.8273 |
| No log | 7.7091 | 424 | 0.6469 | 0.6910 | 0.6469 | 0.8043 |
| No log | 7.7455 | 426 | 0.6333 | 0.7081 | 0.6333 | 0.7958 |
| No log | 7.7818 | 428 | 0.6302 | 0.7026 | 0.6302 | 0.7939 |
| No log | 7.8182 | 430 | 0.6266 | 0.7081 | 0.6266 | 0.7916 |
| No log | 7.8545 | 432 | 0.6258 | 0.7033 | 0.6258 | 0.7911 |
| No log | 7.8909 | 434 | 0.6357 | 0.6715 | 0.6357 | 0.7973 |
| No log | 7.9273 | 436 | 0.6661 | 0.6724 | 0.6661 | 0.8161 |
| No log | 7.9636 | 438 | 0.6979 | 0.6571 | 0.6979 | 0.8354 |
| No log | 8.0 | 440 | 0.7099 | 0.6525 | 0.7099 | 0.8426 |
| No log | 8.0364 | 442 | 0.7136 | 0.6432 | 0.7136 | 0.8448 |
| No log | 8.0727 | 444 | 0.6981 | 0.6644 | 0.6981 | 0.8355 |
| No log | 8.1091 | 446 | 0.6830 | 0.6828 | 0.6830 | 0.8264 |
| No log | 8.1455 | 448 | 0.6646 | 0.6795 | 0.6646 | 0.8152 |
| No log | 8.1818 | 450 | 0.6579 | 0.6719 | 0.6579 | 0.8111 |
| No log | 8.2182 | 452 | 0.6461 | 0.6719 | 0.6461 | 0.8038 |
| No log | 8.2545 | 454 | 0.6323 | 0.6666 | 0.6323 | 0.7952 |
| No log | 8.2909 | 456 | 0.6334 | 0.6666 | 0.6334 | 0.7959 |
| No log | 8.3273 | 458 | 0.6418 | 0.6610 | 0.6418 | 0.8011 |
| No log | 8.3636 | 460 | 0.6552 | 0.6742 | 0.6552 | 0.8095 |
| No log | 8.4 | 462 | 0.6809 | 0.7031 | 0.6809 | 0.8251 |
| No log | 8.4364 | 464 | 0.7106 | 0.6571 | 0.7106 | 0.8430 |
| No log | 8.4727 | 466 | 0.7268 | 0.6340 | 0.7268 | 0.8526 |
| No log | 8.5091 | 468 | 0.7257 | 0.6195 | 0.7257 | 0.8519 |
| No log | 8.5455 | 470 | 0.7037 | 0.6845 | 0.7037 | 0.8389 |
| No log | 8.5818 | 472 | 0.6774 | 0.6836 | 0.6774 | 0.8231 |
| No log | 8.6182 | 474 | 0.6497 | 0.6809 | 0.6497 | 0.8061 |
| No log | 8.6545 | 476 | 0.6275 | 0.7014 | 0.6275 | 0.7922 |
| No log | 8.6909 | 478 | 0.6149 | 0.7096 | 0.6149 | 0.7841 |
| No log | 8.7273 | 480 | 0.6122 | 0.7066 | 0.6122 | 0.7825 |
| No log | 8.7636 | 482 | 0.6137 | 0.7099 | 0.6137 | 0.7834 |
| No log | 8.8 | 484 | 0.6157 | 0.7099 | 0.6157 | 0.7847 |
| No log | 8.8364 | 486 | 0.6177 | 0.7099 | 0.6177 | 0.7859 |
| No log | 8.8727 | 488 | 0.6215 | 0.7113 | 0.6215 | 0.7883 |
| No log | 8.9091 | 490 | 0.6277 | 0.7007 | 0.6277 | 0.7923 |
| No log | 8.9455 | 492 | 0.6388 | 0.6944 | 0.6388 | 0.7993 |
| No log | 8.9818 | 494 | 0.6563 | 0.6914 | 0.6563 | 0.8101 |
| No log | 9.0182 | 496 | 0.6764 | 0.7166 | 0.6764 | 0.8225 |
| No log | 9.0545 | 498 | 0.6935 | 0.7120 | 0.6935 | 0.8327 |
| 0.4567 | 9.0909 | 500 | 0.6994 | 0.7075 | 0.6994 | 0.8363 |
| 0.4567 | 9.1273 | 502 | 0.6962 | 0.7075 | 0.6962 | 0.8344 |
| 0.4567 | 9.1636 | 504 | 0.6875 | 0.7120 | 0.6875 | 0.8291 |
| 0.4567 | 9.2 | 506 | 0.6791 | 0.6992 | 0.6791 | 0.8241 |
| 0.4567 | 9.2364 | 508 | 0.6650 | 0.6682 | 0.6650 | 0.8155 |
| 0.4567 | 9.2727 | 510 | 0.6513 | 0.6859 | 0.6513 | 0.8070 |
| 0.4567 | 9.3091 | 512 | 0.6429 | 0.7090 | 0.6429 | 0.8018 |
| 0.4567 | 9.3455 | 514 | 0.6389 | 0.7001 | 0.6389 | 0.7993 |
| 0.4567 | 9.3818 | 516 | 0.6361 | 0.7078 | 0.6361 | 0.7976 |
| 0.4567 | 9.4182 | 518 | 0.6353 | 0.6972 | 0.6353 | 0.7971 |
| 0.4567 | 9.4545 | 520 | 0.6359 | 0.6972 | 0.6359 | 0.7974 |
| 0.4567 | 9.4909 | 522 | 0.6374 | 0.6972 | 0.6374 | 0.7984 |
| 0.4567 | 9.5273 | 524 | 0.6397 | 0.6972 | 0.6397 | 0.7998 |
| 0.4567 | 9.5636 | 526 | 0.6393 | 0.6972 | 0.6393 | 0.7996 |
| 0.4567 | 9.6 | 528 | 0.6396 | 0.6895 | 0.6396 | 0.7997 |
| 0.4567 | 9.6364 | 530 | 0.6375 | 0.6972 | 0.6375 | 0.7985 |
| 0.4567 | 9.6727 | 532 | 0.6360 | 0.6895 | 0.6360 | 0.7975 |
| 0.4567 | 9.7091 | 534 | 0.6355 | 0.6895 | 0.6355 | 0.7972 |
| 0.4567 | 9.7455 | 536 | 0.6351 | 0.6895 | 0.6351 | 0.7970 |
| 0.4567 | 9.7818 | 538 | 0.6352 | 0.6909 | 0.6352 | 0.7970 |
| 0.4567 | 9.8182 | 540 | 0.6355 | 0.6909 | 0.6355 | 0.7972 |
| 0.4567 | 9.8545 | 542 | 0.6351 | 0.7016 | 0.6351 | 0.7969 |
| 0.4567 | 9.8909 | 544 | 0.6349 | 0.7016 | 0.6349 | 0.7968 |
| 0.4567 | 9.9273 | 546 | 0.6351 | 0.7016 | 0.6351 | 0.7969 |
| 0.4567 | 9.9636 | 548 | 0.6356 | 0.7016 | 0.6356 | 0.7972 |
| 0.4567 | 10.0 | 550 | 0.6358 | 0.7016 | 0.6358 | 0.7974 |
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_run3_AugV5_k11_task1_organization
Base model
aubmindlab/bert-base-arabertv02