Instructions to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k14_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k14_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k14_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k14_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k14_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k14_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: 0.8612
- Qwk: 0.7089
- Mse: 0.8612
- Rmse: 0.9280
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 | 0.0299 | 2 | 6.9552 | 0.0179 | 6.9552 | 2.6373 |
| No log | 0.0597 | 4 | 4.7609 | 0.0392 | 4.7609 | 2.1819 |
| No log | 0.0896 | 6 | 5.0457 | -0.0965 | 5.0457 | 2.2463 |
| No log | 0.1194 | 8 | 4.0098 | -0.1159 | 4.0098 | 2.0024 |
| No log | 0.1493 | 10 | 2.2017 | 0.1221 | 2.2017 | 1.4838 |
| No log | 0.1791 | 12 | 1.9001 | 0.1681 | 1.9001 | 1.3784 |
| No log | 0.2090 | 14 | 2.0248 | 0.1905 | 2.0248 | 1.4229 |
| No log | 0.2388 | 16 | 2.4160 | 0.0140 | 2.4160 | 1.5543 |
| No log | 0.2687 | 18 | 2.7653 | 0.0268 | 2.7653 | 1.6629 |
| No log | 0.2985 | 20 | 2.8548 | 0.0 | 2.8548 | 1.6896 |
| No log | 0.3284 | 22 | 2.7044 | 0.0 | 2.7044 | 1.6445 |
| No log | 0.3582 | 24 | 2.8093 | -0.0134 | 2.8093 | 1.6761 |
| No log | 0.3881 | 26 | 2.5729 | 0.0 | 2.5729 | 1.6040 |
| No log | 0.4179 | 28 | 2.3539 | 0.0423 | 2.3539 | 1.5343 |
| No log | 0.4478 | 30 | 2.0392 | 0.2105 | 2.0392 | 1.4280 |
| No log | 0.4776 | 32 | 1.9704 | 0.2290 | 1.9704 | 1.4037 |
| No log | 0.5075 | 34 | 2.0451 | 0.2424 | 2.0451 | 1.4301 |
| No log | 0.5373 | 36 | 2.1202 | 0.2628 | 2.1202 | 1.4561 |
| No log | 0.5672 | 38 | 2.1466 | 0.2319 | 2.1466 | 1.4651 |
| No log | 0.5970 | 40 | 2.0161 | 0.2815 | 2.0161 | 1.4199 |
| No log | 0.6269 | 42 | 1.9297 | 0.3134 | 1.9297 | 1.3891 |
| No log | 0.6567 | 44 | 1.7629 | 0.3511 | 1.7629 | 1.3278 |
| No log | 0.6866 | 46 | 1.6448 | 0.4127 | 1.6448 | 1.2825 |
| No log | 0.7164 | 48 | 1.6364 | 0.4032 | 1.6364 | 1.2792 |
| No log | 0.7463 | 50 | 1.7931 | 0.3333 | 1.7931 | 1.3391 |
| No log | 0.7761 | 52 | 2.2018 | 0.1702 | 2.2018 | 1.4838 |
| No log | 0.8060 | 54 | 2.4093 | 0.2013 | 2.4093 | 1.5522 |
| No log | 0.8358 | 56 | 2.4219 | 0.2125 | 2.4219 | 1.5562 |
| No log | 0.8657 | 58 | 2.0278 | 0.2411 | 2.0278 | 1.4240 |
| No log | 0.8955 | 60 | 1.5631 | 0.4 | 1.5631 | 1.2502 |
| No log | 0.9254 | 62 | 1.4849 | 0.4127 | 1.4849 | 1.2185 |
| No log | 0.9552 | 64 | 1.4008 | 0.4409 | 1.4008 | 1.1836 |
| No log | 0.9851 | 66 | 1.4460 | 0.4127 | 1.4460 | 1.2025 |
| No log | 1.0149 | 68 | 1.4705 | 0.4127 | 1.4705 | 1.2127 |
| No log | 1.0448 | 70 | 1.6530 | 0.4062 | 1.6530 | 1.2857 |
| No log | 1.0746 | 72 | 2.0236 | 0.2059 | 2.0236 | 1.4225 |
| No log | 1.1045 | 74 | 2.1939 | 0.1644 | 2.1939 | 1.4812 |
| No log | 1.1343 | 76 | 2.2279 | 0.2166 | 2.2279 | 1.4926 |
| No log | 1.1642 | 78 | 2.3570 | 0.2273 | 2.3570 | 1.5353 |
| No log | 1.1940 | 80 | 2.1533 | 0.2635 | 2.1533 | 1.4674 |
| No log | 1.2239 | 82 | 2.0023 | 0.3129 | 2.0023 | 1.4150 |
| No log | 1.2537 | 84 | 1.8285 | 0.3521 | 1.8285 | 1.3522 |
| No log | 1.2836 | 86 | 2.0498 | 0.2692 | 2.0498 | 1.4317 |
| No log | 1.3134 | 88 | 2.5210 | 0.2697 | 2.5210 | 1.5878 |
| No log | 1.3433 | 90 | 2.6873 | 0.2979 | 2.6873 | 1.6393 |
| No log | 1.3731 | 92 | 2.3557 | 0.2955 | 2.3557 | 1.5348 |
| No log | 1.4030 | 94 | 1.9014 | 0.3165 | 1.9014 | 1.3789 |
| No log | 1.4328 | 96 | 1.4337 | 0.4776 | 1.4337 | 1.1974 |
| No log | 1.4627 | 98 | 1.2039 | 0.5197 | 1.2039 | 1.0972 |
| No log | 1.4925 | 100 | 1.1130 | 0.5538 | 1.1130 | 1.0550 |
| No log | 1.5224 | 102 | 1.1109 | 0.5426 | 1.1109 | 1.0540 |
| No log | 1.5522 | 104 | 1.2412 | 0.5352 | 1.2412 | 1.1141 |
| No log | 1.5821 | 106 | 1.4489 | 0.5122 | 1.4489 | 1.2037 |
| No log | 1.6119 | 108 | 1.5898 | 0.48 | 1.5898 | 1.2609 |
| No log | 1.6418 | 110 | 1.7126 | 0.4556 | 1.7126 | 1.3087 |
| No log | 1.6716 | 112 | 1.6615 | 0.5057 | 1.6615 | 1.2890 |
| No log | 1.7015 | 114 | 1.4637 | 0.5 | 1.4637 | 1.2098 |
| No log | 1.7313 | 116 | 1.2762 | 0.4444 | 1.2762 | 1.1297 |
| No log | 1.7612 | 118 | 1.1770 | 0.48 | 1.1770 | 1.0849 |
| No log | 1.7910 | 120 | 1.0236 | 0.5512 | 1.0236 | 1.0117 |
| No log | 1.8209 | 122 | 1.0296 | 0.5954 | 1.0296 | 1.0147 |
| No log | 1.8507 | 124 | 1.2429 | 0.5065 | 1.2429 | 1.1149 |
| No log | 1.8806 | 126 | 1.4809 | 0.5059 | 1.4809 | 1.2169 |
| No log | 1.9104 | 128 | 1.5095 | 0.4971 | 1.5095 | 1.2286 |
| No log | 1.9403 | 130 | 1.2503 | 0.5786 | 1.2503 | 1.1181 |
| No log | 1.9701 | 132 | 1.0800 | 0.625 | 1.0800 | 1.0392 |
| No log | 2.0 | 134 | 1.0347 | 0.6087 | 1.0347 | 1.0172 |
| No log | 2.0299 | 136 | 0.9745 | 0.5692 | 0.9745 | 0.9872 |
| No log | 2.0597 | 138 | 0.9533 | 0.6667 | 0.9533 | 0.9764 |
| No log | 2.0896 | 140 | 0.9738 | 0.6565 | 0.9738 | 0.9868 |
| No log | 2.1194 | 142 | 0.9102 | 0.6667 | 0.9102 | 0.9540 |
| No log | 2.1493 | 144 | 0.9016 | 0.6418 | 0.9016 | 0.9495 |
| No log | 2.1791 | 146 | 0.9403 | 0.5942 | 0.9403 | 0.9697 |
| No log | 2.2090 | 148 | 0.9656 | 0.6338 | 0.9656 | 0.9826 |
| No log | 2.2388 | 150 | 1.0604 | 0.6143 | 1.0604 | 1.0298 |
| No log | 2.2687 | 152 | 1.1622 | 0.5714 | 1.1622 | 1.0781 |
| No log | 2.2985 | 154 | 1.3636 | 0.5325 | 1.3636 | 1.1677 |
| No log | 2.3284 | 156 | 1.4373 | 0.5238 | 1.4373 | 1.1989 |
| No log | 2.3582 | 158 | 1.3683 | 0.55 | 1.3683 | 1.1697 |
| No log | 2.3881 | 160 | 1.0703 | 0.6503 | 1.0703 | 1.0345 |
| No log | 2.4179 | 162 | 0.8520 | 0.6667 | 0.8520 | 0.9230 |
| No log | 2.4478 | 164 | 0.7955 | 0.7260 | 0.7955 | 0.8919 |
| No log | 2.4776 | 166 | 0.7616 | 0.7172 | 0.7616 | 0.8727 |
| No log | 2.5075 | 168 | 0.8465 | 0.6617 | 0.8465 | 0.9200 |
| No log | 2.5373 | 170 | 0.9319 | 0.6260 | 0.9319 | 0.9654 |
| No log | 2.5672 | 172 | 0.9427 | 0.6294 | 0.9427 | 0.9709 |
| No log | 2.5970 | 174 | 1.2686 | 0.5698 | 1.2686 | 1.1263 |
| No log | 2.6269 | 176 | 1.3585 | 0.5934 | 1.3585 | 1.1656 |
| No log | 2.6567 | 178 | 1.1497 | 0.6444 | 1.1497 | 1.0723 |
| No log | 2.6866 | 180 | 0.8600 | 0.6928 | 0.8600 | 0.9273 |
| No log | 2.7164 | 182 | 0.7765 | 0.7042 | 0.7765 | 0.8812 |
| No log | 2.7463 | 184 | 0.7910 | 0.6765 | 0.7910 | 0.8894 |
| No log | 2.7761 | 186 | 0.8219 | 0.6767 | 0.8219 | 0.9066 |
| No log | 2.8060 | 188 | 0.8525 | 0.6565 | 0.8525 | 0.9233 |
| No log | 2.8358 | 190 | 0.8367 | 0.7153 | 0.8367 | 0.9147 |
| No log | 2.8657 | 192 | 0.8690 | 0.6567 | 0.8690 | 0.9322 |
| No log | 2.8955 | 194 | 0.9679 | 0.625 | 0.9679 | 0.9838 |
| No log | 2.9254 | 196 | 0.9990 | 0.6094 | 0.9990 | 0.9995 |
| No log | 2.9552 | 198 | 1.0360 | 0.5942 | 1.0360 | 1.0179 |
| No log | 2.9851 | 200 | 1.1386 | 0.5767 | 1.1386 | 1.0671 |
| No log | 3.0149 | 202 | 1.0724 | 0.6182 | 1.0724 | 1.0356 |
| No log | 3.0448 | 204 | 0.9591 | 0.6709 | 0.9591 | 0.9793 |
| No log | 3.0746 | 206 | 0.8716 | 0.6815 | 0.8716 | 0.9336 |
| No log | 3.1045 | 208 | 0.8688 | 0.6767 | 0.8688 | 0.9321 |
| No log | 3.1343 | 210 | 0.8749 | 0.6963 | 0.8749 | 0.9354 |
| No log | 3.1642 | 212 | 0.8434 | 0.6061 | 0.8434 | 0.9184 |
| No log | 3.1940 | 214 | 0.8129 | 0.6331 | 0.8129 | 0.9016 |
| No log | 3.2239 | 216 | 0.7728 | 0.7190 | 0.7728 | 0.8791 |
| No log | 3.2537 | 218 | 0.7129 | 0.7190 | 0.7129 | 0.8443 |
| No log | 3.2836 | 220 | 0.6780 | 0.775 | 0.6780 | 0.8234 |
| No log | 3.3134 | 222 | 0.7293 | 0.7619 | 0.7293 | 0.8540 |
| No log | 3.3433 | 224 | 0.7614 | 0.7337 | 0.7614 | 0.8726 |
| No log | 3.3731 | 226 | 0.7669 | 0.7470 | 0.7669 | 0.8758 |
| No log | 3.4030 | 228 | 0.7467 | 0.7 | 0.7467 | 0.8641 |
| No log | 3.4328 | 230 | 0.7759 | 0.7190 | 0.7759 | 0.8809 |
| No log | 3.4627 | 232 | 0.7900 | 0.7285 | 0.7900 | 0.8888 |
| No log | 3.4925 | 234 | 0.7731 | 0.7273 | 0.7731 | 0.8792 |
| No log | 3.5224 | 236 | 0.7446 | 0.7516 | 0.7446 | 0.8629 |
| No log | 3.5522 | 238 | 0.7574 | 0.7170 | 0.7574 | 0.8703 |
| No log | 3.5821 | 240 | 0.7126 | 0.7226 | 0.7126 | 0.8442 |
| No log | 3.6119 | 242 | 0.7000 | 0.7376 | 0.7000 | 0.8366 |
| No log | 3.6418 | 244 | 0.7307 | 0.7007 | 0.7307 | 0.8548 |
| No log | 3.6716 | 246 | 0.7432 | 0.7194 | 0.7432 | 0.8621 |
| No log | 3.7015 | 248 | 0.7749 | 0.7324 | 0.7749 | 0.8803 |
| No log | 3.7313 | 250 | 0.7735 | 0.7075 | 0.7735 | 0.8795 |
| No log | 3.7612 | 252 | 0.8036 | 0.7059 | 0.8036 | 0.8964 |
| No log | 3.7910 | 254 | 0.8683 | 0.6624 | 0.8683 | 0.9318 |
| No log | 3.8209 | 256 | 0.8625 | 0.6486 | 0.8625 | 0.9287 |
| No log | 3.8507 | 258 | 0.8433 | 0.6809 | 0.8433 | 0.9183 |
| No log | 3.8806 | 260 | 0.8128 | 0.6906 | 0.8128 | 0.9015 |
| No log | 3.9104 | 262 | 0.8003 | 0.6849 | 0.8003 | 0.8946 |
| No log | 3.9403 | 264 | 0.8277 | 0.6667 | 0.8277 | 0.9098 |
| No log | 3.9701 | 266 | 0.8487 | 0.6797 | 0.8487 | 0.9213 |
| No log | 4.0 | 268 | 0.8806 | 0.6584 | 0.8806 | 0.9384 |
| No log | 4.0299 | 270 | 0.7972 | 0.7261 | 0.7972 | 0.8928 |
| No log | 4.0597 | 272 | 0.7235 | 0.7297 | 0.7235 | 0.8506 |
| No log | 4.0896 | 274 | 0.8180 | 0.6763 | 0.8180 | 0.9045 |
| No log | 4.1194 | 276 | 0.9335 | 0.6377 | 0.9335 | 0.9662 |
| No log | 4.1493 | 278 | 0.8946 | 0.6619 | 0.8946 | 0.9458 |
| No log | 4.1791 | 280 | 0.7994 | 0.6763 | 0.7994 | 0.8941 |
| No log | 4.2090 | 282 | 0.7456 | 0.7595 | 0.7456 | 0.8635 |
| No log | 4.2388 | 284 | 0.8533 | 0.7108 | 0.8533 | 0.9238 |
| No log | 4.2687 | 286 | 0.9036 | 0.6627 | 0.9036 | 0.9506 |
| No log | 4.2985 | 288 | 0.8380 | 0.7152 | 0.8380 | 0.9154 |
| No log | 4.3284 | 290 | 0.7723 | 0.6974 | 0.7723 | 0.8788 |
| No log | 4.3582 | 292 | 0.7832 | 0.6714 | 0.7832 | 0.8850 |
| No log | 4.3881 | 294 | 0.7996 | 0.6667 | 0.7996 | 0.8942 |
| No log | 4.4179 | 296 | 0.8087 | 0.6619 | 0.8087 | 0.8993 |
| No log | 4.4478 | 298 | 0.8249 | 0.6944 | 0.8249 | 0.9083 |
| No log | 4.4776 | 300 | 0.8380 | 0.7075 | 0.8380 | 0.9154 |
| No log | 4.5075 | 302 | 0.8525 | 0.7075 | 0.8525 | 0.9233 |
| No log | 4.5373 | 304 | 0.7893 | 0.7162 | 0.7893 | 0.8884 |
| No log | 4.5672 | 306 | 0.7311 | 0.6939 | 0.7311 | 0.8551 |
| No log | 4.5970 | 308 | 0.7150 | 0.6939 | 0.7150 | 0.8456 |
| No log | 4.6269 | 310 | 0.7098 | 0.7403 | 0.7098 | 0.8425 |
| No log | 4.6567 | 312 | 0.8189 | 0.6988 | 0.8189 | 0.9049 |
| No log | 4.6866 | 314 | 0.8925 | 0.6585 | 0.8925 | 0.9447 |
| No log | 4.7164 | 316 | 0.8004 | 0.7073 | 0.8004 | 0.8946 |
| No log | 4.7463 | 318 | 0.7104 | 0.7273 | 0.7104 | 0.8428 |
| No log | 4.7761 | 320 | 0.7376 | 0.7 | 0.7376 | 0.8588 |
| No log | 4.8060 | 322 | 0.7591 | 0.6812 | 0.7591 | 0.8713 |
| No log | 4.8358 | 324 | 0.7681 | 0.6846 | 0.7681 | 0.8764 |
| No log | 4.8657 | 326 | 0.7809 | 0.7152 | 0.7809 | 0.8837 |
| No log | 4.8955 | 328 | 0.7556 | 0.7152 | 0.7556 | 0.8692 |
| No log | 4.9254 | 330 | 0.7168 | 0.7468 | 0.7168 | 0.8466 |
| No log | 4.9552 | 332 | 0.7047 | 0.7625 | 0.7047 | 0.8394 |
| No log | 4.9851 | 334 | 0.7304 | 0.7619 | 0.7304 | 0.8546 |
| No log | 5.0149 | 336 | 0.8320 | 0.7326 | 0.8320 | 0.9121 |
| No log | 5.0448 | 338 | 0.9499 | 0.7097 | 0.9499 | 0.9746 |
| No log | 5.0746 | 340 | 0.9154 | 0.7314 | 0.9154 | 0.9568 |
| No log | 5.1045 | 342 | 0.8193 | 0.7337 | 0.8193 | 0.9052 |
| No log | 5.1343 | 344 | 0.7610 | 0.7515 | 0.7610 | 0.8724 |
| No log | 5.1642 | 346 | 0.7259 | 0.7516 | 0.7259 | 0.8520 |
| No log | 5.1940 | 348 | 0.7074 | 0.7465 | 0.7074 | 0.8410 |
| No log | 5.2239 | 350 | 0.7449 | 0.7286 | 0.7449 | 0.8631 |
| No log | 5.2537 | 352 | 0.7529 | 0.6715 | 0.7529 | 0.8677 |
| No log | 5.2836 | 354 | 0.7527 | 0.7417 | 0.7527 | 0.8676 |
| No log | 5.3134 | 356 | 0.8001 | 0.7229 | 0.8001 | 0.8945 |
| No log | 5.3433 | 358 | 0.8208 | 0.7283 | 0.8208 | 0.9060 |
| No log | 5.3731 | 360 | 0.7562 | 0.7412 | 0.7562 | 0.8696 |
| No log | 5.4030 | 362 | 0.6826 | 0.7730 | 0.6826 | 0.8262 |
| No log | 5.4328 | 364 | 0.6778 | 0.7389 | 0.6778 | 0.8233 |
| No log | 5.4627 | 366 | 0.6770 | 0.7439 | 0.6770 | 0.8228 |
| No log | 5.4925 | 368 | 0.7209 | 0.7727 | 0.7209 | 0.8491 |
| No log | 5.5224 | 370 | 0.8102 | 0.7458 | 0.8102 | 0.9001 |
| No log | 5.5522 | 372 | 0.8288 | 0.7356 | 0.8288 | 0.9104 |
| No log | 5.5821 | 374 | 0.8016 | 0.7456 | 0.8016 | 0.8953 |
| No log | 5.6119 | 376 | 0.7812 | 0.6962 | 0.7812 | 0.8839 |
| No log | 5.6418 | 378 | 0.7885 | 0.6839 | 0.7885 | 0.8880 |
| No log | 5.6716 | 380 | 0.8178 | 0.7561 | 0.8178 | 0.9043 |
| No log | 5.7015 | 382 | 0.8929 | 0.6988 | 0.8929 | 0.9449 |
| No log | 5.7313 | 384 | 0.9277 | 0.6788 | 0.9277 | 0.9632 |
| No log | 5.7612 | 386 | 0.8710 | 0.6867 | 0.8710 | 0.9333 |
| No log | 5.7910 | 388 | 0.8191 | 0.7453 | 0.8191 | 0.9050 |
| No log | 5.8209 | 390 | 0.7933 | 0.7417 | 0.7933 | 0.8907 |
| No log | 5.8507 | 392 | 0.7809 | 0.7467 | 0.7809 | 0.8837 |
| No log | 5.8806 | 394 | 0.8082 | 0.7625 | 0.8082 | 0.8990 |
| No log | 5.9104 | 396 | 0.8308 | 0.7407 | 0.8308 | 0.9115 |
| No log | 5.9403 | 398 | 0.8561 | 0.7125 | 0.8561 | 0.9253 |
| No log | 5.9701 | 400 | 0.8834 | 0.7125 | 0.8834 | 0.9399 |
| No log | 6.0 | 402 | 0.8639 | 0.7006 | 0.8639 | 0.9294 |
| No log | 6.0299 | 404 | 0.8035 | 0.7105 | 0.8035 | 0.8964 |
| No log | 6.0597 | 406 | 0.8166 | 0.7143 | 0.8166 | 0.9037 |
| No log | 6.0896 | 408 | 0.7948 | 0.7320 | 0.7948 | 0.8915 |
| No log | 6.1194 | 410 | 0.7898 | 0.7170 | 0.7898 | 0.8887 |
| No log | 6.1493 | 412 | 0.7990 | 0.7125 | 0.7990 | 0.8938 |
| No log | 6.1791 | 414 | 0.7537 | 0.7329 | 0.7537 | 0.8682 |
| No log | 6.2090 | 416 | 0.6756 | 0.8075 | 0.6756 | 0.8219 |
| No log | 6.2388 | 418 | 0.6431 | 0.7613 | 0.6431 | 0.8019 |
| No log | 6.2687 | 420 | 0.6484 | 0.7260 | 0.6484 | 0.8052 |
| No log | 6.2985 | 422 | 0.6550 | 0.7826 | 0.6550 | 0.8093 |
| No log | 6.3284 | 424 | 0.6779 | 0.7875 | 0.6779 | 0.8233 |
| No log | 6.3582 | 426 | 0.6972 | 0.7875 | 0.6972 | 0.8350 |
| No log | 6.3881 | 428 | 0.7414 | 0.7875 | 0.7414 | 0.8610 |
| No log | 6.4179 | 430 | 0.8032 | 0.7073 | 0.8032 | 0.8962 |
| No log | 6.4478 | 432 | 0.7777 | 0.7273 | 0.7777 | 0.8819 |
| No log | 6.4776 | 434 | 0.7221 | 0.7349 | 0.7221 | 0.8498 |
| No log | 6.5075 | 436 | 0.7312 | 0.7654 | 0.7312 | 0.8551 |
| No log | 6.5373 | 438 | 0.7527 | 0.7389 | 0.7527 | 0.8676 |
| No log | 6.5672 | 440 | 0.7651 | 0.725 | 0.7651 | 0.8747 |
| No log | 6.5970 | 442 | 0.7962 | 0.7425 | 0.7962 | 0.8923 |
| No log | 6.6269 | 444 | 0.8252 | 0.7485 | 0.8252 | 0.9084 |
| No log | 6.6567 | 446 | 0.7925 | 0.7456 | 0.7925 | 0.8903 |
| No log | 6.6866 | 448 | 0.8081 | 0.7613 | 0.8081 | 0.8990 |
| No log | 6.7164 | 450 | 0.8619 | 0.7042 | 0.8619 | 0.9284 |
| No log | 6.7463 | 452 | 0.9691 | 0.6187 | 0.9691 | 0.9844 |
| No log | 6.7761 | 454 | 0.9221 | 0.6667 | 0.9221 | 0.9602 |
| No log | 6.8060 | 456 | 0.8356 | 0.7083 | 0.8356 | 0.9141 |
| No log | 6.8358 | 458 | 0.8412 | 0.7133 | 0.8412 | 0.9172 |
| No log | 6.8657 | 460 | 0.8660 | 0.6536 | 0.8660 | 0.9306 |
| No log | 6.8955 | 462 | 0.9018 | 0.6531 | 0.9018 | 0.9496 |
| No log | 6.9254 | 464 | 0.8600 | 0.6483 | 0.8600 | 0.9274 |
| No log | 6.9552 | 466 | 0.7699 | 0.6917 | 0.7699 | 0.8774 |
| No log | 6.9851 | 468 | 0.7455 | 0.7111 | 0.7455 | 0.8634 |
| No log | 7.0149 | 470 | 0.7692 | 0.7206 | 0.7692 | 0.8770 |
| No log | 7.0448 | 472 | 0.7753 | 0.6866 | 0.7753 | 0.8805 |
| No log | 7.0746 | 474 | 0.8143 | 0.6357 | 0.8143 | 0.9024 |
| No log | 7.1045 | 476 | 0.9011 | 0.5891 | 0.9011 | 0.9493 |
| No log | 7.1343 | 478 | 0.9080 | 0.6197 | 0.9080 | 0.9529 |
| No log | 7.1642 | 480 | 0.8139 | 0.7105 | 0.8139 | 0.9022 |
| No log | 7.1940 | 482 | 0.7428 | 0.7436 | 0.7428 | 0.8619 |
| No log | 7.2239 | 484 | 0.7119 | 0.7702 | 0.7119 | 0.8437 |
| No log | 7.2537 | 486 | 0.7013 | 0.7702 | 0.7013 | 0.8375 |
| No log | 7.2836 | 488 | 0.7262 | 0.7861 | 0.7262 | 0.8522 |
| No log | 7.3134 | 490 | 0.7936 | 0.8 | 0.7936 | 0.8908 |
| No log | 7.3433 | 492 | 0.8843 | 0.7232 | 0.8843 | 0.9403 |
| No log | 7.3731 | 494 | 0.8324 | 0.7356 | 0.8324 | 0.9124 |
| No log | 7.4030 | 496 | 0.7187 | 0.8049 | 0.7187 | 0.8477 |
| No log | 7.4328 | 498 | 0.6634 | 0.7643 | 0.6634 | 0.8145 |
| 0.4784 | 7.4627 | 500 | 0.6643 | 0.7285 | 0.6643 | 0.8150 |
| 0.4784 | 7.4925 | 502 | 0.6615 | 0.7682 | 0.6615 | 0.8133 |
| 0.4784 | 7.5224 | 504 | 0.6845 | 0.7974 | 0.6845 | 0.8274 |
| 0.4784 | 7.5522 | 506 | 0.7191 | 0.7755 | 0.7191 | 0.8480 |
| 0.4784 | 7.5821 | 508 | 0.7649 | 0.7755 | 0.7649 | 0.8746 |
| 0.4784 | 7.6119 | 510 | 0.7686 | 0.7671 | 0.7686 | 0.8767 |
| 0.4784 | 7.6418 | 512 | 0.7734 | 0.7517 | 0.7734 | 0.8794 |
| 0.4784 | 7.6716 | 514 | 0.7341 | 0.7792 | 0.7341 | 0.8568 |
| 0.4784 | 7.7015 | 516 | 0.7272 | 0.7654 | 0.7272 | 0.8527 |
| 0.4784 | 7.7313 | 518 | 0.6472 | 0.7950 | 0.6472 | 0.8045 |
| 0.4784 | 7.7612 | 520 | 0.5870 | 0.8079 | 0.5870 | 0.7662 |
| 0.4784 | 7.7910 | 522 | 0.5894 | 0.7974 | 0.5894 | 0.7677 |
| 0.4784 | 7.8209 | 524 | 0.6132 | 0.8 | 0.6132 | 0.7830 |
| 0.4784 | 7.8507 | 526 | 0.6370 | 0.7904 | 0.6370 | 0.7981 |
| 0.4784 | 7.8806 | 528 | 0.6343 | 0.7975 | 0.6343 | 0.7965 |
| 0.4784 | 7.9104 | 530 | 0.6596 | 0.7703 | 0.6596 | 0.8121 |
| 0.4784 | 7.9403 | 532 | 0.6953 | 0.7353 | 0.6953 | 0.8338 |
| 0.4784 | 7.9701 | 534 | 0.7389 | 0.7353 | 0.7389 | 0.8596 |
| 0.4784 | 8.0 | 536 | 0.7629 | 0.7353 | 0.7629 | 0.8735 |
| 0.4784 | 8.0299 | 538 | 0.7701 | 0.7353 | 0.7701 | 0.8776 |
| 0.4784 | 8.0597 | 540 | 0.7459 | 0.7465 | 0.7459 | 0.8636 |
| 0.4784 | 8.0896 | 542 | 0.7210 | 0.7465 | 0.7210 | 0.8491 |
| 0.4784 | 8.1194 | 544 | 0.6963 | 0.7465 | 0.6963 | 0.8344 |
| 0.4784 | 8.1493 | 546 | 0.6747 | 0.7586 | 0.6747 | 0.8214 |
| 0.4784 | 8.1791 | 548 | 0.6804 | 0.7586 | 0.6804 | 0.8249 |
| 0.4784 | 8.2090 | 550 | 0.6825 | 0.7534 | 0.6825 | 0.8261 |
| 0.4784 | 8.2388 | 552 | 0.7151 | 0.7643 | 0.7151 | 0.8456 |
| 0.4784 | 8.2687 | 554 | 0.7910 | 0.7647 | 0.7910 | 0.8894 |
| 0.4784 | 8.2985 | 556 | 0.8175 | 0.7381 | 0.8175 | 0.9042 |
| 0.4784 | 8.3284 | 558 | 0.7925 | 0.7284 | 0.7925 | 0.8902 |
| 0.4784 | 8.3582 | 560 | 0.7387 | 0.7755 | 0.7387 | 0.8595 |
| 0.4784 | 8.3881 | 562 | 0.7299 | 0.7133 | 0.7299 | 0.8543 |
| 0.4784 | 8.4179 | 564 | 0.7705 | 0.7034 | 0.7705 | 0.8778 |
| 0.4784 | 8.4478 | 566 | 0.7707 | 0.6712 | 0.7707 | 0.8779 |
| 0.4784 | 8.4776 | 568 | 0.7753 | 0.6944 | 0.7753 | 0.8805 |
| 0.4784 | 8.5075 | 570 | 0.8612 | 0.7089 | 0.8612 | 0.9280 |
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/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k14_task1_organization
Base model
aubmindlab/bert-base-arabertv02