Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k9_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k9_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k9_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k9_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k9_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k9_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: 0.8208
- Qwk: 0.6279
- Mse: 0.8208
- Rmse: 0.9060
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 | 0.0455 | 2 | 5.3366 | -0.0339 | 5.3366 | 2.3101 |
| No log | 0.0909 | 4 | 3.1912 | 0.0571 | 3.1912 | 1.7864 |
| No log | 0.1364 | 6 | 2.1756 | -0.0397 | 2.1756 | 1.4750 |
| No log | 0.1818 | 8 | 1.6658 | 0.0745 | 1.6658 | 1.2907 |
| No log | 0.2273 | 10 | 1.3999 | 0.1436 | 1.3999 | 1.1832 |
| No log | 0.2727 | 12 | 1.2088 | 0.1805 | 1.2088 | 1.0995 |
| No log | 0.3182 | 14 | 1.1859 | 0.2067 | 1.1859 | 1.0890 |
| No log | 0.3636 | 16 | 1.1807 | 0.2067 | 1.1807 | 1.0866 |
| No log | 0.4091 | 18 | 1.1241 | 0.2034 | 1.1241 | 1.0602 |
| No log | 0.4545 | 20 | 1.3373 | 0.1440 | 1.3373 | 1.1564 |
| No log | 0.5 | 22 | 1.6268 | 0.0210 | 1.6268 | 1.2755 |
| No log | 0.5455 | 24 | 1.3489 | 0.1057 | 1.3489 | 1.1614 |
| No log | 0.5909 | 26 | 1.0180 | 0.3627 | 1.0180 | 1.0090 |
| No log | 0.6364 | 28 | 1.1302 | 0.3528 | 1.1302 | 1.0631 |
| No log | 0.6818 | 30 | 1.0391 | 0.4132 | 1.0391 | 1.0194 |
| No log | 0.7273 | 32 | 1.0186 | 0.3419 | 1.0186 | 1.0093 |
| No log | 0.7727 | 34 | 1.7566 | -0.0978 | 1.7566 | 1.3254 |
| No log | 0.8182 | 36 | 2.0597 | -0.2665 | 2.0597 | 1.4352 |
| No log | 0.8636 | 38 | 1.7178 | -0.0676 | 1.7178 | 1.3107 |
| No log | 0.9091 | 40 | 0.9978 | 0.3351 | 0.9978 | 0.9989 |
| No log | 0.9545 | 42 | 0.8251 | 0.4367 | 0.8251 | 0.9083 |
| No log | 1.0 | 44 | 0.8460 | 0.4489 | 0.8460 | 0.9198 |
| No log | 1.0455 | 46 | 0.8051 | 0.4715 | 0.8051 | 0.8973 |
| No log | 1.0909 | 48 | 0.8520 | 0.5257 | 0.8520 | 0.9230 |
| No log | 1.1364 | 50 | 0.9046 | 0.5106 | 0.9046 | 0.9511 |
| No log | 1.1818 | 52 | 0.8447 | 0.5617 | 0.8447 | 0.9191 |
| No log | 1.2273 | 54 | 0.7704 | 0.6025 | 0.7704 | 0.8777 |
| No log | 1.2727 | 56 | 0.7498 | 0.5993 | 0.7498 | 0.8659 |
| No log | 1.3182 | 58 | 0.7317 | 0.6593 | 0.7317 | 0.8554 |
| No log | 1.3636 | 60 | 0.8623 | 0.5600 | 0.8623 | 0.9286 |
| No log | 1.4091 | 62 | 1.1275 | 0.4180 | 1.1275 | 1.0619 |
| No log | 1.4545 | 64 | 1.1076 | 0.4217 | 1.1076 | 1.0524 |
| No log | 1.5 | 66 | 0.8538 | 0.6355 | 0.8538 | 0.9240 |
| No log | 1.5455 | 68 | 0.7639 | 0.6825 | 0.7639 | 0.8740 |
| No log | 1.5909 | 70 | 0.9006 | 0.5587 | 0.9006 | 0.9490 |
| No log | 1.6364 | 72 | 0.8298 | 0.6145 | 0.8298 | 0.9109 |
| No log | 1.6818 | 74 | 0.8342 | 0.6353 | 0.8342 | 0.9134 |
| No log | 1.7273 | 76 | 0.8996 | 0.6052 | 0.8996 | 0.9485 |
| No log | 1.7727 | 78 | 0.9021 | 0.5855 | 0.9021 | 0.9498 |
| No log | 1.8182 | 80 | 0.8742 | 0.5043 | 0.8742 | 0.9350 |
| No log | 1.8636 | 82 | 0.8181 | 0.4379 | 0.8181 | 0.9045 |
| No log | 1.9091 | 84 | 0.8095 | 0.4816 | 0.8095 | 0.8997 |
| No log | 1.9545 | 86 | 0.7787 | 0.4796 | 0.7787 | 0.8825 |
| No log | 2.0 | 88 | 0.7843 | 0.5368 | 0.7843 | 0.8856 |
| No log | 2.0455 | 90 | 0.9224 | 0.5111 | 0.9224 | 0.9604 |
| No log | 2.0909 | 92 | 0.9337 | 0.5037 | 0.9337 | 0.9663 |
| No log | 2.1364 | 94 | 0.7863 | 0.6049 | 0.7863 | 0.8867 |
| No log | 2.1818 | 96 | 0.8057 | 0.5365 | 0.8057 | 0.8976 |
| No log | 2.2273 | 98 | 0.9216 | 0.4991 | 0.9216 | 0.9600 |
| No log | 2.2727 | 100 | 0.8529 | 0.5255 | 0.8529 | 0.9235 |
| No log | 2.3182 | 102 | 0.7456 | 0.5814 | 0.7456 | 0.8635 |
| No log | 2.3636 | 104 | 0.8677 | 0.5704 | 0.8677 | 0.9315 |
| No log | 2.4091 | 106 | 0.9990 | 0.5228 | 0.9990 | 0.9995 |
| No log | 2.4545 | 108 | 0.9504 | 0.5553 | 0.9504 | 0.9749 |
| No log | 2.5 | 110 | 0.7991 | 0.6265 | 0.7991 | 0.8939 |
| No log | 2.5455 | 112 | 0.7684 | 0.6564 | 0.7684 | 0.8766 |
| No log | 2.5909 | 114 | 0.7688 | 0.6396 | 0.7688 | 0.8768 |
| No log | 2.6364 | 116 | 0.8042 | 0.6034 | 0.8042 | 0.8968 |
| No log | 2.6818 | 118 | 0.8582 | 0.5429 | 0.8582 | 0.9264 |
| No log | 2.7273 | 120 | 0.8737 | 0.5306 | 0.8737 | 0.9347 |
| No log | 2.7727 | 122 | 0.8441 | 0.5998 | 0.8441 | 0.9188 |
| No log | 2.8182 | 124 | 0.8887 | 0.5691 | 0.8887 | 0.9427 |
| No log | 2.8636 | 126 | 0.8881 | 0.5916 | 0.8881 | 0.9424 |
| No log | 2.9091 | 128 | 0.8445 | 0.6626 | 0.8445 | 0.9190 |
| No log | 2.9545 | 130 | 0.8272 | 0.6512 | 0.8272 | 0.9095 |
| No log | 3.0 | 132 | 0.8264 | 0.6333 | 0.8264 | 0.9091 |
| No log | 3.0455 | 134 | 0.8797 | 0.6470 | 0.8797 | 0.9379 |
| No log | 3.0909 | 136 | 0.8025 | 0.6468 | 0.8025 | 0.8958 |
| No log | 3.1364 | 138 | 0.7702 | 0.6504 | 0.7702 | 0.8776 |
| No log | 3.1818 | 140 | 0.7946 | 0.6627 | 0.7946 | 0.8914 |
| No log | 3.2273 | 142 | 0.8244 | 0.6654 | 0.8244 | 0.9080 |
| No log | 3.2727 | 144 | 0.8020 | 0.6661 | 0.8020 | 0.8955 |
| No log | 3.3182 | 146 | 0.7853 | 0.6817 | 0.7853 | 0.8862 |
| No log | 3.3636 | 148 | 0.7916 | 0.6719 | 0.7916 | 0.8897 |
| No log | 3.4091 | 150 | 0.7780 | 0.6533 | 0.7780 | 0.8821 |
| No log | 3.4545 | 152 | 0.8236 | 0.6309 | 0.8236 | 0.9075 |
| No log | 3.5 | 154 | 0.9484 | 0.6030 | 0.9484 | 0.9739 |
| No log | 3.5455 | 156 | 0.9042 | 0.6023 | 0.9042 | 0.9509 |
| No log | 3.5909 | 158 | 0.8204 | 0.6470 | 0.8204 | 0.9057 |
| No log | 3.6364 | 160 | 0.8002 | 0.6477 | 0.8002 | 0.8946 |
| No log | 3.6818 | 162 | 0.8162 | 0.6727 | 0.8162 | 0.9034 |
| No log | 3.7273 | 164 | 0.8162 | 0.6561 | 0.8162 | 0.9034 |
| No log | 3.7727 | 166 | 0.8615 | 0.6118 | 0.8615 | 0.9282 |
| No log | 3.8182 | 168 | 0.8307 | 0.6440 | 0.8307 | 0.9115 |
| No log | 3.8636 | 170 | 0.8456 | 0.6501 | 0.8456 | 0.9195 |
| No log | 3.9091 | 172 | 0.9229 | 0.6106 | 0.9229 | 0.9607 |
| No log | 3.9545 | 174 | 0.9644 | 0.5952 | 0.9644 | 0.9821 |
| No log | 4.0 | 176 | 1.0522 | 0.5826 | 1.0522 | 1.0258 |
| No log | 4.0455 | 178 | 0.9455 | 0.6058 | 0.9455 | 0.9724 |
| No log | 4.0909 | 180 | 0.7932 | 0.6725 | 0.7932 | 0.8906 |
| No log | 4.1364 | 182 | 0.8199 | 0.6539 | 0.8199 | 0.9055 |
| No log | 4.1818 | 184 | 0.8121 | 0.6496 | 0.8121 | 0.9012 |
| No log | 4.2273 | 186 | 0.7124 | 0.7057 | 0.7124 | 0.8440 |
| No log | 4.2727 | 188 | 0.7285 | 0.6997 | 0.7285 | 0.8535 |
| No log | 4.3182 | 190 | 0.8440 | 0.5989 | 0.8440 | 0.9187 |
| No log | 4.3636 | 192 | 0.8257 | 0.6317 | 0.8257 | 0.9087 |
| No log | 4.4091 | 194 | 0.7268 | 0.6782 | 0.7268 | 0.8525 |
| No log | 4.4545 | 196 | 0.7564 | 0.6762 | 0.7564 | 0.8697 |
| No log | 4.5 | 198 | 0.8440 | 0.6111 | 0.8440 | 0.9187 |
| No log | 4.5455 | 200 | 0.7703 | 0.6647 | 0.7703 | 0.8777 |
| No log | 4.5909 | 202 | 0.7210 | 0.6872 | 0.7210 | 0.8491 |
| No log | 4.6364 | 204 | 0.9891 | 0.5436 | 0.9891 | 0.9945 |
| No log | 4.6818 | 206 | 1.1799 | 0.5095 | 1.1799 | 1.0862 |
| No log | 4.7273 | 208 | 1.1095 | 0.5166 | 1.1095 | 1.0533 |
| No log | 4.7727 | 210 | 0.8941 | 0.5920 | 0.8941 | 0.9456 |
| No log | 4.8182 | 212 | 0.7646 | 0.6908 | 0.7646 | 0.8744 |
| No log | 4.8636 | 214 | 0.7561 | 0.6971 | 0.7561 | 0.8696 |
| No log | 4.9091 | 216 | 0.8034 | 0.6673 | 0.8034 | 0.8963 |
| No log | 4.9545 | 218 | 0.8858 | 0.6168 | 0.8858 | 0.9412 |
| No log | 5.0 | 220 | 0.9953 | 0.5617 | 0.9953 | 0.9976 |
| No log | 5.0455 | 222 | 0.9851 | 0.5683 | 0.9851 | 0.9925 |
| No log | 5.0909 | 224 | 0.9337 | 0.5843 | 0.9337 | 0.9663 |
| No log | 5.1364 | 226 | 0.9390 | 0.5571 | 0.9390 | 0.9690 |
| No log | 5.1818 | 228 | 0.9153 | 0.5846 | 0.9153 | 0.9567 |
| No log | 5.2273 | 230 | 0.9566 | 0.5572 | 0.9566 | 0.9781 |
| No log | 5.2727 | 232 | 0.9391 | 0.5880 | 0.9391 | 0.9691 |
| No log | 5.3182 | 234 | 0.9955 | 0.5568 | 0.9955 | 0.9978 |
| No log | 5.3636 | 236 | 1.0814 | 0.5431 | 1.0814 | 1.0399 |
| No log | 5.4091 | 238 | 0.9538 | 0.5954 | 0.9538 | 0.9766 |
| No log | 5.4545 | 240 | 0.7627 | 0.6959 | 0.7627 | 0.8733 |
| No log | 5.5 | 242 | 0.7495 | 0.7192 | 0.7495 | 0.8658 |
| No log | 5.5455 | 244 | 0.7187 | 0.6949 | 0.7187 | 0.8478 |
| No log | 5.5909 | 246 | 0.7425 | 0.7112 | 0.7425 | 0.8617 |
| No log | 5.6364 | 248 | 0.8042 | 0.6575 | 0.8042 | 0.8968 |
| No log | 5.6818 | 250 | 0.8722 | 0.6113 | 0.8722 | 0.9339 |
| No log | 5.7273 | 252 | 0.8195 | 0.6521 | 0.8195 | 0.9053 |
| No log | 5.7727 | 254 | 0.6946 | 0.7239 | 0.6946 | 0.8334 |
| No log | 5.8182 | 256 | 0.6807 | 0.7337 | 0.6807 | 0.8251 |
| No log | 5.8636 | 258 | 0.7033 | 0.7268 | 0.7033 | 0.8386 |
| No log | 5.9091 | 260 | 0.7708 | 0.6816 | 0.7708 | 0.8779 |
| No log | 5.9545 | 262 | 0.8681 | 0.6505 | 0.8681 | 0.9317 |
| No log | 6.0 | 264 | 0.8236 | 0.6726 | 0.8236 | 0.9075 |
| No log | 6.0455 | 266 | 0.7991 | 0.6771 | 0.7991 | 0.8939 |
| No log | 6.0909 | 268 | 0.8354 | 0.6430 | 0.8354 | 0.9140 |
| No log | 6.1364 | 270 | 0.7868 | 0.6515 | 0.7868 | 0.8870 |
| No log | 6.1818 | 272 | 0.7466 | 0.6787 | 0.7466 | 0.8640 |
| No log | 6.2273 | 274 | 0.7254 | 0.6711 | 0.7254 | 0.8517 |
| No log | 6.2727 | 276 | 0.7109 | 0.6841 | 0.7109 | 0.8432 |
| No log | 6.3182 | 278 | 0.7371 | 0.6664 | 0.7371 | 0.8586 |
| No log | 6.3636 | 280 | 0.7194 | 0.6694 | 0.7194 | 0.8481 |
| No log | 6.4091 | 282 | 0.6840 | 0.6917 | 0.6840 | 0.8271 |
| No log | 6.4545 | 284 | 0.6851 | 0.6836 | 0.6851 | 0.8277 |
| No log | 6.5 | 286 | 0.7099 | 0.6857 | 0.7099 | 0.8426 |
| No log | 6.5455 | 288 | 0.8258 | 0.6140 | 0.8258 | 0.9087 |
| No log | 6.5909 | 290 | 0.8743 | 0.5613 | 0.8743 | 0.9350 |
| No log | 6.6364 | 292 | 0.7896 | 0.6161 | 0.7896 | 0.8886 |
| No log | 6.6818 | 294 | 0.6772 | 0.7027 | 0.6772 | 0.8229 |
| No log | 6.7273 | 296 | 0.6694 | 0.7164 | 0.6694 | 0.8182 |
| No log | 6.7727 | 298 | 0.6706 | 0.7212 | 0.6706 | 0.8189 |
| No log | 6.8182 | 300 | 0.7277 | 0.6374 | 0.7277 | 0.8531 |
| No log | 6.8636 | 302 | 0.9109 | 0.5475 | 0.9109 | 0.9544 |
| No log | 6.9091 | 304 | 0.9897 | 0.5394 | 0.9897 | 0.9948 |
| No log | 6.9545 | 306 | 0.9030 | 0.5341 | 0.9030 | 0.9503 |
| No log | 7.0 | 308 | 0.7896 | 0.5715 | 0.7896 | 0.8886 |
| No log | 7.0455 | 310 | 0.6926 | 0.6444 | 0.6926 | 0.8322 |
| No log | 7.0909 | 312 | 0.6673 | 0.7093 | 0.6673 | 0.8169 |
| No log | 7.1364 | 314 | 0.7010 | 0.6920 | 0.7010 | 0.8372 |
| No log | 7.1818 | 316 | 0.7084 | 0.7043 | 0.7084 | 0.8417 |
| No log | 7.2273 | 318 | 0.7602 | 0.6455 | 0.7602 | 0.8719 |
| No log | 7.2727 | 320 | 0.9069 | 0.6024 | 0.9069 | 0.9523 |
| No log | 7.3182 | 322 | 0.8998 | 0.5820 | 0.8998 | 0.9486 |
| No log | 7.3636 | 324 | 0.7872 | 0.6123 | 0.7872 | 0.8873 |
| No log | 7.4091 | 326 | 0.6983 | 0.6899 | 0.6983 | 0.8356 |
| No log | 7.4545 | 328 | 0.6757 | 0.7144 | 0.6757 | 0.8220 |
| No log | 7.5 | 330 | 0.6846 | 0.6775 | 0.6846 | 0.8274 |
| No log | 7.5455 | 332 | 0.6960 | 0.6951 | 0.6960 | 0.8343 |
| No log | 7.5909 | 334 | 0.7076 | 0.6846 | 0.7076 | 0.8412 |
| No log | 7.6364 | 336 | 0.7131 | 0.6940 | 0.7131 | 0.8445 |
| No log | 7.6818 | 338 | 0.7062 | 0.6847 | 0.7062 | 0.8404 |
| No log | 7.7273 | 340 | 0.7169 | 0.6875 | 0.7169 | 0.8467 |
| No log | 7.7727 | 342 | 0.7074 | 0.6970 | 0.7074 | 0.8411 |
| No log | 7.8182 | 344 | 0.6906 | 0.6846 | 0.6906 | 0.8310 |
| No log | 7.8636 | 346 | 0.6942 | 0.7110 | 0.6942 | 0.8332 |
| No log | 7.9091 | 348 | 0.7102 | 0.6865 | 0.7102 | 0.8427 |
| No log | 7.9545 | 350 | 0.7171 | 0.7032 | 0.7171 | 0.8468 |
| No log | 8.0 | 352 | 0.7282 | 0.6912 | 0.7282 | 0.8533 |
| No log | 8.0455 | 354 | 0.7385 | 0.6934 | 0.7385 | 0.8594 |
| No log | 8.0909 | 356 | 0.7547 | 0.6440 | 0.7547 | 0.8687 |
| No log | 8.1364 | 358 | 0.8572 | 0.6059 | 0.8572 | 0.9258 |
| No log | 8.1818 | 360 | 0.9324 | 0.5926 | 0.9324 | 0.9656 |
| No log | 8.2273 | 362 | 0.9619 | 0.5928 | 0.9619 | 0.9808 |
| No log | 8.2727 | 364 | 0.9338 | 0.5939 | 0.9338 | 0.9663 |
| No log | 8.3182 | 366 | 0.8920 | 0.5942 | 0.8920 | 0.9445 |
| No log | 8.3636 | 368 | 0.8701 | 0.6224 | 0.8701 | 0.9328 |
| No log | 8.4091 | 370 | 0.7802 | 0.6532 | 0.7802 | 0.8833 |
| No log | 8.4545 | 372 | 0.7578 | 0.6635 | 0.7578 | 0.8705 |
| No log | 8.5 | 374 | 0.7213 | 0.6991 | 0.7213 | 0.8493 |
| No log | 8.5455 | 376 | 0.7091 | 0.6886 | 0.7091 | 0.8421 |
| No log | 8.5909 | 378 | 0.7348 | 0.6645 | 0.7348 | 0.8572 |
| No log | 8.6364 | 380 | 0.7640 | 0.6595 | 0.7640 | 0.8741 |
| No log | 8.6818 | 382 | 0.8190 | 0.6057 | 0.8190 | 0.9050 |
| No log | 8.7273 | 384 | 0.7928 | 0.6286 | 0.7928 | 0.8904 |
| No log | 8.7727 | 386 | 0.7659 | 0.6478 | 0.7659 | 0.8751 |
| No log | 8.8182 | 388 | 0.7166 | 0.6314 | 0.7166 | 0.8465 |
| No log | 8.8636 | 390 | 0.7024 | 0.6786 | 0.7024 | 0.8381 |
| No log | 8.9091 | 392 | 0.6869 | 0.6852 | 0.6869 | 0.8288 |
| No log | 8.9545 | 394 | 0.6834 | 0.6907 | 0.6834 | 0.8267 |
| No log | 9.0 | 396 | 0.7482 | 0.6682 | 0.7482 | 0.8650 |
| No log | 9.0455 | 398 | 0.7438 | 0.6624 | 0.7438 | 0.8624 |
| No log | 9.0909 | 400 | 0.6648 | 0.6748 | 0.6648 | 0.8154 |
| No log | 9.1364 | 402 | 0.7148 | 0.6254 | 0.7148 | 0.8454 |
| No log | 9.1818 | 404 | 0.8557 | 0.6222 | 0.8557 | 0.9250 |
| No log | 9.2273 | 406 | 0.8557 | 0.6222 | 0.8557 | 0.9250 |
| No log | 9.2727 | 408 | 0.7669 | 0.6384 | 0.7669 | 0.8757 |
| No log | 9.3182 | 410 | 0.6991 | 0.6734 | 0.6991 | 0.8361 |
| No log | 9.3636 | 412 | 0.6553 | 0.7072 | 0.6553 | 0.8095 |
| No log | 9.4091 | 414 | 0.6577 | 0.7091 | 0.6577 | 0.8110 |
| No log | 9.4545 | 416 | 0.6772 | 0.6991 | 0.6772 | 0.8229 |
| No log | 9.5 | 418 | 0.7787 | 0.6774 | 0.7787 | 0.8824 |
| No log | 9.5455 | 420 | 0.8480 | 0.6234 | 0.8480 | 0.9209 |
| No log | 9.5909 | 422 | 0.9216 | 0.6089 | 0.9216 | 0.9600 |
| No log | 9.6364 | 424 | 1.0173 | 0.6069 | 1.0173 | 1.0086 |
| No log | 9.6818 | 426 | 1.0962 | 0.5850 | 1.0962 | 1.0470 |
| No log | 9.7273 | 428 | 1.0819 | 0.5796 | 1.0819 | 1.0401 |
| No log | 9.7727 | 430 | 1.0702 | 0.5864 | 1.0702 | 1.0345 |
| No log | 9.8182 | 432 | 1.0667 | 0.5864 | 1.0667 | 1.0328 |
| No log | 9.8636 | 434 | 1.0399 | 0.5672 | 1.0399 | 1.0198 |
| No log | 9.9091 | 436 | 0.9767 | 0.5961 | 0.9767 | 0.9883 |
| No log | 9.9545 | 438 | 0.9633 | 0.6006 | 0.9633 | 0.9815 |
| No log | 10.0 | 440 | 1.0442 | 0.5955 | 1.0442 | 1.0218 |
| No log | 10.0455 | 442 | 0.9846 | 0.6088 | 0.9846 | 0.9923 |
| No log | 10.0909 | 444 | 0.8457 | 0.6530 | 0.8457 | 0.9196 |
| No log | 10.1364 | 446 | 0.7592 | 0.6982 | 0.7592 | 0.8713 |
| No log | 10.1818 | 448 | 0.7384 | 0.7037 | 0.7384 | 0.8593 |
| No log | 10.2273 | 450 | 0.7143 | 0.7127 | 0.7143 | 0.8452 |
| No log | 10.2727 | 452 | 0.7048 | 0.7020 | 0.7048 | 0.8395 |
| No log | 10.3182 | 454 | 0.7500 | 0.6404 | 0.7500 | 0.8660 |
| No log | 10.3636 | 456 | 0.9388 | 0.6022 | 0.9388 | 0.9689 |
| No log | 10.4091 | 458 | 1.0689 | 0.5313 | 1.0689 | 1.0339 |
| No log | 10.4545 | 460 | 1.0506 | 0.5124 | 1.0506 | 1.0250 |
| No log | 10.5 | 462 | 0.9445 | 0.5961 | 0.9445 | 0.9719 |
| No log | 10.5455 | 464 | 0.8398 | 0.6227 | 0.8398 | 0.9164 |
| No log | 10.5909 | 466 | 0.7996 | 0.6370 | 0.7996 | 0.8942 |
| No log | 10.6364 | 468 | 0.8219 | 0.6174 | 0.8219 | 0.9066 |
| No log | 10.6818 | 470 | 0.9056 | 0.6065 | 0.9056 | 0.9516 |
| No log | 10.7273 | 472 | 0.9731 | 0.5910 | 0.9731 | 0.9864 |
| No log | 10.7727 | 474 | 0.9961 | 0.6001 | 0.9961 | 0.9981 |
| No log | 10.8182 | 476 | 0.9574 | 0.6018 | 0.9574 | 0.9785 |
| No log | 10.8636 | 478 | 0.8431 | 0.6071 | 0.8431 | 0.9182 |
| No log | 10.9091 | 480 | 0.7510 | 0.6824 | 0.7510 | 0.8666 |
| No log | 10.9545 | 482 | 0.7402 | 0.6786 | 0.7402 | 0.8604 |
| No log | 11.0 | 484 | 0.7675 | 0.6776 | 0.7675 | 0.8761 |
| No log | 11.0455 | 486 | 0.8478 | 0.6244 | 0.8478 | 0.9208 |
| No log | 11.0909 | 488 | 0.9990 | 0.5705 | 0.9990 | 0.9995 |
| No log | 11.1364 | 490 | 1.0710 | 0.5355 | 1.0710 | 1.0349 |
| No log | 11.1818 | 492 | 1.0466 | 0.5374 | 1.0466 | 1.0230 |
| No log | 11.2273 | 494 | 0.9224 | 0.5740 | 0.9224 | 0.9604 |
| No log | 11.2727 | 496 | 0.8026 | 0.6561 | 0.8026 | 0.8959 |
| No log | 11.3182 | 498 | 0.7325 | 0.6958 | 0.7325 | 0.8559 |
| 0.4123 | 11.3636 | 500 | 0.7076 | 0.6865 | 0.7076 | 0.8412 |
| 0.4123 | 11.4091 | 502 | 0.7000 | 0.6877 | 0.7000 | 0.8367 |
| 0.4123 | 11.4545 | 504 | 0.6982 | 0.7038 | 0.6982 | 0.8356 |
| 0.4123 | 11.5 | 506 | 0.6950 | 0.7038 | 0.6950 | 0.8337 |
| 0.4123 | 11.5455 | 508 | 0.7277 | 0.7015 | 0.7277 | 0.8530 |
| 0.4123 | 11.5909 | 510 | 0.7839 | 0.6969 | 0.7839 | 0.8854 |
| 0.4123 | 11.6364 | 512 | 0.7643 | 0.7060 | 0.7643 | 0.8743 |
| 0.4123 | 11.6818 | 514 | 0.6995 | 0.7139 | 0.6995 | 0.8364 |
| 0.4123 | 11.7273 | 516 | 0.6859 | 0.7037 | 0.6859 | 0.8282 |
| 0.4123 | 11.7727 | 518 | 0.6922 | 0.6711 | 0.6922 | 0.8320 |
| 0.4123 | 11.8182 | 520 | 0.6765 | 0.7043 | 0.6765 | 0.8225 |
| 0.4123 | 11.8636 | 522 | 0.6992 | 0.7191 | 0.6992 | 0.8362 |
| 0.4123 | 11.9091 | 524 | 0.7159 | 0.7163 | 0.7159 | 0.8461 |
| 0.4123 | 11.9545 | 526 | 0.7003 | 0.7084 | 0.7003 | 0.8368 |
| 0.4123 | 12.0 | 528 | 0.6939 | 0.7153 | 0.6939 | 0.8330 |
| 0.4123 | 12.0455 | 530 | 0.7403 | 0.6665 | 0.7403 | 0.8604 |
| 0.4123 | 12.0909 | 532 | 0.8518 | 0.5941 | 0.8518 | 0.9230 |
| 0.4123 | 12.1364 | 534 | 0.8664 | 0.5958 | 0.8664 | 0.9308 |
| 0.4123 | 12.1818 | 536 | 0.8266 | 0.6227 | 0.8266 | 0.9092 |
| 0.4123 | 12.2273 | 538 | 0.8208 | 0.6279 | 0.8208 | 0.9060 |
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/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k9_task1_organization
Base model
aubmindlab/bert-base-arabertv02