Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_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: 0.9740
- Qwk: 0.5327
- Mse: 0.9740
- Rmse: 0.9869
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 | 0.02 | 2 | 5.3139 | -0.0034 | 5.3139 | 2.3052 |
| No log | 0.04 | 4 | 3.1468 | 0.0583 | 3.1468 | 1.7739 |
| No log | 0.06 | 6 | 2.0035 | 0.0531 | 2.0035 | 1.4154 |
| No log | 0.08 | 8 | 2.1891 | -0.0327 | 2.1891 | 1.4795 |
| No log | 0.1 | 10 | 2.1307 | -0.0761 | 2.1307 | 1.4597 |
| No log | 0.12 | 12 | 1.4639 | 0.0688 | 1.4639 | 1.2099 |
| No log | 0.14 | 14 | 1.3357 | 0.1729 | 1.3357 | 1.1557 |
| No log | 0.16 | 16 | 1.3496 | 0.1613 | 1.3496 | 1.1617 |
| No log | 0.18 | 18 | 1.4729 | -0.0753 | 1.4729 | 1.2136 |
| No log | 0.2 | 20 | 1.7438 | -0.0622 | 1.7438 | 1.3205 |
| No log | 0.22 | 22 | 1.7243 | -0.0543 | 1.7243 | 1.3131 |
| No log | 0.24 | 24 | 1.8283 | -0.0348 | 1.8283 | 1.3521 |
| No log | 0.26 | 26 | 1.6265 | 0.0123 | 1.6265 | 1.2753 |
| No log | 0.28 | 28 | 1.3250 | 0.1549 | 1.3250 | 1.1511 |
| No log | 0.3 | 30 | 1.3143 | 0.1118 | 1.3143 | 1.1464 |
| No log | 0.32 | 32 | 1.2858 | 0.1529 | 1.2858 | 1.1339 |
| No log | 0.34 | 34 | 1.2886 | 0.1391 | 1.2886 | 1.1352 |
| No log | 0.36 | 36 | 1.3526 | 0.1359 | 1.3526 | 1.1630 |
| No log | 0.38 | 38 | 1.5452 | 0.1352 | 1.5452 | 1.2431 |
| No log | 0.4 | 40 | 1.8211 | 0.1806 | 1.8211 | 1.3495 |
| No log | 0.42 | 42 | 2.0943 | 0.1334 | 2.0943 | 1.4472 |
| No log | 0.44 | 44 | 2.0226 | 0.1519 | 2.0226 | 1.4222 |
| No log | 0.46 | 46 | 1.5786 | 0.1710 | 1.5786 | 1.2564 |
| No log | 0.48 | 48 | 1.2527 | 0.3063 | 1.2527 | 1.1192 |
| No log | 0.5 | 50 | 1.1543 | 0.3076 | 1.1543 | 1.0744 |
| No log | 0.52 | 52 | 1.1921 | 0.3410 | 1.1921 | 1.0918 |
| No log | 0.54 | 54 | 1.2459 | 0.3356 | 1.2459 | 1.1162 |
| No log | 0.56 | 56 | 1.1812 | 0.3723 | 1.1812 | 1.0868 |
| No log | 0.58 | 58 | 1.1259 | 0.4098 | 1.1259 | 1.0611 |
| No log | 0.6 | 60 | 1.0789 | 0.4053 | 1.0789 | 1.0387 |
| No log | 0.62 | 62 | 0.9947 | 0.4111 | 0.9947 | 0.9974 |
| No log | 0.64 | 64 | 0.9941 | 0.4222 | 0.9941 | 0.9970 |
| No log | 0.66 | 66 | 1.0015 | 0.4082 | 1.0015 | 1.0008 |
| No log | 0.68 | 68 | 1.2656 | 0.3865 | 1.2656 | 1.1250 |
| No log | 0.7 | 70 | 2.1521 | 0.2710 | 2.1521 | 1.4670 |
| No log | 0.72 | 72 | 2.4282 | 0.2203 | 2.4282 | 1.5583 |
| No log | 0.74 | 74 | 1.8986 | 0.2775 | 1.8986 | 1.3779 |
| No log | 0.76 | 76 | 1.0887 | 0.4366 | 1.0887 | 1.0434 |
| No log | 0.78 | 78 | 0.8539 | 0.5424 | 0.8539 | 0.9241 |
| No log | 0.8 | 80 | 0.9016 | 0.4464 | 0.9016 | 0.9495 |
| No log | 0.82 | 82 | 0.8547 | 0.5144 | 0.8547 | 0.9245 |
| No log | 0.84 | 84 | 1.0499 | 0.4252 | 1.0499 | 1.0246 |
| No log | 0.86 | 86 | 1.2250 | 0.3514 | 1.2250 | 1.1068 |
| No log | 0.88 | 88 | 1.4931 | 0.3493 | 1.4931 | 1.2219 |
| No log | 0.9 | 90 | 1.3876 | 0.4246 | 1.3876 | 1.1780 |
| No log | 0.92 | 92 | 1.3102 | 0.4423 | 1.3102 | 1.1446 |
| No log | 0.94 | 94 | 1.1040 | 0.4308 | 1.1040 | 1.0507 |
| No log | 0.96 | 96 | 0.9657 | 0.4594 | 0.9657 | 0.9827 |
| No log | 0.98 | 98 | 0.9053 | 0.4834 | 0.9053 | 0.9515 |
| No log | 1.0 | 100 | 1.0178 | 0.4295 | 1.0178 | 1.0089 |
| No log | 1.02 | 102 | 1.0065 | 0.4051 | 1.0065 | 1.0032 |
| No log | 1.04 | 104 | 0.8596 | 0.5342 | 0.8596 | 0.9271 |
| No log | 1.06 | 106 | 0.7433 | 0.5956 | 0.7433 | 0.8621 |
| No log | 1.08 | 108 | 0.7555 | 0.6226 | 0.7555 | 0.8692 |
| No log | 1.1 | 110 | 0.7632 | 0.6271 | 0.7632 | 0.8736 |
| No log | 1.12 | 112 | 0.7289 | 0.5981 | 0.7289 | 0.8538 |
| No log | 1.1400 | 114 | 0.7745 | 0.5547 | 0.7745 | 0.8801 |
| No log | 1.16 | 116 | 0.8771 | 0.5210 | 0.8771 | 0.9365 |
| No log | 1.18 | 118 | 0.8456 | 0.5145 | 0.8456 | 0.9196 |
| No log | 1.2 | 120 | 0.7879 | 0.5696 | 0.7879 | 0.8877 |
| No log | 1.22 | 122 | 0.7838 | 0.5827 | 0.7838 | 0.8853 |
| No log | 1.24 | 124 | 0.8913 | 0.5560 | 0.8913 | 0.9441 |
| No log | 1.26 | 126 | 0.8782 | 0.5447 | 0.8782 | 0.9371 |
| No log | 1.28 | 128 | 0.8355 | 0.5493 | 0.8355 | 0.9140 |
| No log | 1.3 | 130 | 0.8372 | 0.5509 | 0.8372 | 0.9150 |
| No log | 1.32 | 132 | 0.8317 | 0.5775 | 0.8317 | 0.9120 |
| No log | 1.34 | 134 | 0.8164 | 0.5834 | 0.8164 | 0.9036 |
| No log | 1.3600 | 136 | 0.7795 | 0.6421 | 0.7795 | 0.8829 |
| No log | 1.38 | 138 | 0.7645 | 0.6720 | 0.7645 | 0.8744 |
| No log | 1.4 | 140 | 0.7483 | 0.6890 | 0.7483 | 0.8650 |
| No log | 1.42 | 142 | 0.7523 | 0.6272 | 0.7523 | 0.8674 |
| No log | 1.44 | 144 | 0.7858 | 0.6030 | 0.7858 | 0.8865 |
| No log | 1.46 | 146 | 0.7356 | 0.6743 | 0.7356 | 0.8576 |
| No log | 1.48 | 148 | 0.7865 | 0.6034 | 0.7865 | 0.8868 |
| No log | 1.5 | 150 | 0.9166 | 0.5979 | 0.9166 | 0.9574 |
| No log | 1.52 | 152 | 1.0735 | 0.5705 | 1.0735 | 1.0361 |
| No log | 1.54 | 154 | 0.8626 | 0.5815 | 0.8626 | 0.9288 |
| No log | 1.56 | 156 | 0.7620 | 0.6348 | 0.7620 | 0.8729 |
| No log | 1.58 | 158 | 0.9780 | 0.5148 | 0.9780 | 0.9890 |
| No log | 1.6 | 160 | 1.2053 | 0.4492 | 1.2053 | 1.0979 |
| No log | 1.62 | 162 | 1.2979 | 0.4453 | 1.2979 | 1.1392 |
| No log | 1.6400 | 164 | 1.0841 | 0.4638 | 1.0841 | 1.0412 |
| No log | 1.6600 | 166 | 0.9735 | 0.5105 | 0.9735 | 0.9866 |
| No log | 1.6800 | 168 | 0.9033 | 0.5891 | 0.9033 | 0.9504 |
| No log | 1.7 | 170 | 0.9518 | 0.5597 | 0.9518 | 0.9756 |
| No log | 1.72 | 172 | 0.8497 | 0.5914 | 0.8497 | 0.9218 |
| No log | 1.74 | 174 | 0.8221 | 0.6255 | 0.8221 | 0.9067 |
| No log | 1.76 | 176 | 0.8133 | 0.6153 | 0.8133 | 0.9018 |
| No log | 1.78 | 178 | 0.8200 | 0.6251 | 0.8200 | 0.9056 |
| No log | 1.8 | 180 | 0.7950 | 0.6251 | 0.7950 | 0.8916 |
| No log | 1.8200 | 182 | 0.7398 | 0.6748 | 0.7398 | 0.8601 |
| No log | 1.8400 | 184 | 0.7168 | 0.6710 | 0.7168 | 0.8466 |
| No log | 1.8600 | 186 | 0.7172 | 0.6657 | 0.7172 | 0.8469 |
| No log | 1.88 | 188 | 0.7544 | 0.5922 | 0.7544 | 0.8686 |
| No log | 1.9 | 190 | 0.7425 | 0.5663 | 0.7425 | 0.8617 |
| No log | 1.92 | 192 | 0.7203 | 0.6130 | 0.7203 | 0.8487 |
| No log | 1.94 | 194 | 0.7392 | 0.6195 | 0.7392 | 0.8598 |
| No log | 1.96 | 196 | 0.7104 | 0.6621 | 0.7104 | 0.8429 |
| No log | 1.98 | 198 | 0.6839 | 0.6376 | 0.6839 | 0.8270 |
| No log | 2.0 | 200 | 0.6835 | 0.6833 | 0.6835 | 0.8268 |
| No log | 2.02 | 202 | 0.7427 | 0.6565 | 0.7427 | 0.8618 |
| No log | 2.04 | 204 | 0.7873 | 0.6791 | 0.7873 | 0.8873 |
| No log | 2.06 | 206 | 0.8030 | 0.6182 | 0.8030 | 0.8961 |
| No log | 2.08 | 208 | 0.7816 | 0.6155 | 0.7816 | 0.8841 |
| No log | 2.1 | 210 | 0.8424 | 0.6176 | 0.8424 | 0.9178 |
| No log | 2.12 | 212 | 0.9997 | 0.5011 | 0.9997 | 0.9998 |
| No log | 2.14 | 214 | 0.9638 | 0.5268 | 0.9638 | 0.9817 |
| No log | 2.16 | 216 | 0.8595 | 0.5750 | 0.8595 | 0.9271 |
| No log | 2.18 | 218 | 0.7900 | 0.6094 | 0.7900 | 0.8888 |
| No log | 2.2 | 220 | 0.7919 | 0.5842 | 0.7919 | 0.8899 |
| No log | 2.22 | 222 | 0.7754 | 0.5628 | 0.7754 | 0.8806 |
| No log | 2.24 | 224 | 0.7931 | 0.5893 | 0.7931 | 0.8905 |
| No log | 2.26 | 226 | 0.8366 | 0.5793 | 0.8366 | 0.9147 |
| No log | 2.2800 | 228 | 0.7970 | 0.5977 | 0.7970 | 0.8928 |
| No log | 2.3 | 230 | 0.7490 | 0.6190 | 0.7490 | 0.8655 |
| No log | 2.32 | 232 | 0.7657 | 0.6014 | 0.7657 | 0.8750 |
| No log | 2.34 | 234 | 0.7323 | 0.6331 | 0.7323 | 0.8558 |
| No log | 2.36 | 236 | 0.7460 | 0.6359 | 0.7460 | 0.8637 |
| No log | 2.38 | 238 | 0.7788 | 0.6338 | 0.7788 | 0.8825 |
| No log | 2.4 | 240 | 0.7723 | 0.5989 | 0.7723 | 0.8788 |
| No log | 2.42 | 242 | 0.7890 | 0.6220 | 0.7890 | 0.8882 |
| No log | 2.44 | 244 | 0.8279 | 0.5735 | 0.8279 | 0.9099 |
| No log | 2.46 | 246 | 0.7674 | 0.6170 | 0.7674 | 0.8760 |
| No log | 2.48 | 248 | 0.6982 | 0.6265 | 0.6982 | 0.8356 |
| No log | 2.5 | 250 | 0.8427 | 0.5789 | 0.8427 | 0.9180 |
| No log | 2.52 | 252 | 0.9135 | 0.5549 | 0.9135 | 0.9558 |
| No log | 2.54 | 254 | 0.8158 | 0.5977 | 0.8158 | 0.9032 |
| No log | 2.56 | 256 | 0.7719 | 0.6020 | 0.7719 | 0.8786 |
| No log | 2.58 | 258 | 0.7663 | 0.5979 | 0.7663 | 0.8754 |
| No log | 2.6 | 260 | 0.7291 | 0.5954 | 0.7291 | 0.8539 |
| No log | 2.62 | 262 | 0.7131 | 0.6095 | 0.7131 | 0.8444 |
| No log | 2.64 | 264 | 0.7137 | 0.6310 | 0.7137 | 0.8448 |
| No log | 2.66 | 266 | 0.7144 | 0.6338 | 0.7144 | 0.8452 |
| No log | 2.68 | 268 | 0.7082 | 0.6581 | 0.7082 | 0.8415 |
| No log | 2.7 | 270 | 0.7059 | 0.6571 | 0.7059 | 0.8402 |
| No log | 2.7200 | 272 | 0.6897 | 0.6610 | 0.6897 | 0.8305 |
| No log | 2.74 | 274 | 0.6803 | 0.6523 | 0.6803 | 0.8248 |
| No log | 2.76 | 276 | 0.7077 | 0.6360 | 0.7077 | 0.8413 |
| No log | 2.7800 | 278 | 0.7663 | 0.6235 | 0.7663 | 0.8754 |
| No log | 2.8 | 280 | 0.7630 | 0.6415 | 0.7630 | 0.8735 |
| No log | 2.82 | 282 | 0.7466 | 0.6554 | 0.7466 | 0.8641 |
| No log | 2.84 | 284 | 0.6929 | 0.6061 | 0.6929 | 0.8324 |
| No log | 2.86 | 286 | 0.7197 | 0.6146 | 0.7197 | 0.8484 |
| No log | 2.88 | 288 | 0.8197 | 0.6079 | 0.8197 | 0.9054 |
| No log | 2.9 | 290 | 0.9349 | 0.5798 | 0.9349 | 0.9669 |
| No log | 2.92 | 292 | 0.8407 | 0.5876 | 0.8407 | 0.9169 |
| No log | 2.94 | 294 | 0.6946 | 0.6111 | 0.6946 | 0.8334 |
| No log | 2.96 | 296 | 0.7286 | 0.6140 | 0.7286 | 0.8536 |
| No log | 2.98 | 298 | 0.8425 | 0.5751 | 0.8425 | 0.9179 |
| No log | 3.0 | 300 | 0.9327 | 0.5449 | 0.9327 | 0.9658 |
| No log | 3.02 | 302 | 0.7741 | 0.5957 | 0.7741 | 0.8798 |
| No log | 3.04 | 304 | 0.6229 | 0.6537 | 0.6229 | 0.7893 |
| No log | 3.06 | 306 | 0.7205 | 0.6615 | 0.7205 | 0.8488 |
| No log | 3.08 | 308 | 0.7895 | 0.6289 | 0.7895 | 0.8885 |
| No log | 3.1 | 310 | 0.6890 | 0.6613 | 0.6890 | 0.8301 |
| No log | 3.12 | 312 | 0.6361 | 0.6417 | 0.6361 | 0.7975 |
| No log | 3.14 | 314 | 0.6945 | 0.6375 | 0.6945 | 0.8333 |
| No log | 3.16 | 316 | 0.7220 | 0.5997 | 0.7220 | 0.8497 |
| No log | 3.18 | 318 | 0.6978 | 0.6073 | 0.6978 | 0.8353 |
| No log | 3.2 | 320 | 0.6686 | 0.5980 | 0.6686 | 0.8177 |
| No log | 3.22 | 322 | 0.6869 | 0.6050 | 0.6869 | 0.8288 |
| No log | 3.24 | 324 | 0.7050 | 0.6403 | 0.7050 | 0.8397 |
| No log | 3.26 | 326 | 0.7033 | 0.6029 | 0.7033 | 0.8386 |
| No log | 3.2800 | 328 | 0.7212 | 0.6392 | 0.7212 | 0.8492 |
| No log | 3.3 | 330 | 0.7762 | 0.6248 | 0.7762 | 0.8810 |
| No log | 3.32 | 332 | 0.7753 | 0.6229 | 0.7753 | 0.8805 |
| No log | 3.34 | 334 | 0.7207 | 0.5840 | 0.7207 | 0.8489 |
| No log | 3.36 | 336 | 0.7076 | 0.5790 | 0.7076 | 0.8412 |
| No log | 3.38 | 338 | 0.7051 | 0.6080 | 0.7051 | 0.8397 |
| No log | 3.4 | 340 | 0.7196 | 0.6061 | 0.7196 | 0.8483 |
| No log | 3.42 | 342 | 0.7287 | 0.6251 | 0.7287 | 0.8536 |
| No log | 3.44 | 344 | 0.7115 | 0.6187 | 0.7115 | 0.8435 |
| No log | 3.46 | 346 | 0.6897 | 0.6352 | 0.6897 | 0.8305 |
| No log | 3.48 | 348 | 0.6916 | 0.6134 | 0.6916 | 0.8317 |
| No log | 3.5 | 350 | 0.7085 | 0.6281 | 0.7085 | 0.8417 |
| No log | 3.52 | 352 | 0.6953 | 0.6323 | 0.6953 | 0.8339 |
| No log | 3.54 | 354 | 0.6604 | 0.6850 | 0.6604 | 0.8126 |
| No log | 3.56 | 356 | 0.6566 | 0.6871 | 0.6566 | 0.8103 |
| No log | 3.58 | 358 | 0.6528 | 0.6670 | 0.6528 | 0.8080 |
| No log | 3.6 | 360 | 0.6731 | 0.6894 | 0.6731 | 0.8204 |
| No log | 3.62 | 362 | 0.7555 | 0.6712 | 0.7555 | 0.8692 |
| No log | 3.64 | 364 | 0.7588 | 0.6779 | 0.7588 | 0.8711 |
| No log | 3.66 | 366 | 0.6981 | 0.6638 | 0.6981 | 0.8355 |
| No log | 3.68 | 368 | 0.7144 | 0.6772 | 0.7144 | 0.8452 |
| No log | 3.7 | 370 | 0.7126 | 0.6641 | 0.7126 | 0.8441 |
| No log | 3.7200 | 372 | 0.6888 | 0.6518 | 0.6888 | 0.8299 |
| No log | 3.74 | 374 | 0.7614 | 0.5994 | 0.7614 | 0.8726 |
| No log | 3.76 | 376 | 0.7680 | 0.5882 | 0.7680 | 0.8763 |
| No log | 3.7800 | 378 | 0.6907 | 0.6471 | 0.6907 | 0.8311 |
| No log | 3.8 | 380 | 0.7219 | 0.6465 | 0.7219 | 0.8496 |
| No log | 3.82 | 382 | 0.7792 | 0.6446 | 0.7792 | 0.8827 |
| No log | 3.84 | 384 | 0.7713 | 0.6306 | 0.7713 | 0.8782 |
| No log | 3.86 | 386 | 0.7512 | 0.6496 | 0.7512 | 0.8667 |
| No log | 3.88 | 388 | 0.6989 | 0.6545 | 0.6989 | 0.8360 |
| No log | 3.9 | 390 | 0.6786 | 0.6389 | 0.6786 | 0.8238 |
| No log | 3.92 | 392 | 0.6608 | 0.6469 | 0.6608 | 0.8129 |
| No log | 3.94 | 394 | 0.6542 | 0.6888 | 0.6542 | 0.8088 |
| No log | 3.96 | 396 | 0.7679 | 0.7062 | 0.7679 | 0.8763 |
| No log | 3.98 | 398 | 1.1099 | 0.6200 | 1.1099 | 1.0535 |
| No log | 4.0 | 400 | 1.1479 | 0.6097 | 1.1479 | 1.0714 |
| No log | 4.02 | 402 | 0.9085 | 0.6451 | 0.9085 | 0.9532 |
| No log | 4.04 | 404 | 0.6637 | 0.7065 | 0.6637 | 0.8147 |
| No log | 4.06 | 406 | 0.6315 | 0.7068 | 0.6315 | 0.7947 |
| No log | 4.08 | 408 | 0.6629 | 0.6720 | 0.6629 | 0.8142 |
| No log | 4.1 | 410 | 0.6719 | 0.6353 | 0.6719 | 0.8197 |
| No log | 4.12 | 412 | 0.6923 | 0.5570 | 0.6923 | 0.8321 |
| No log | 4.14 | 414 | 0.7934 | 0.6056 | 0.7934 | 0.8907 |
| No log | 4.16 | 416 | 1.0365 | 0.5293 | 1.0365 | 1.0181 |
| No log | 4.18 | 418 | 1.1663 | 0.4895 | 1.1663 | 1.0799 |
| No log | 4.2 | 420 | 1.0673 | 0.5538 | 1.0673 | 1.0331 |
| No log | 4.22 | 422 | 0.7919 | 0.6265 | 0.7919 | 0.8899 |
| No log | 4.24 | 424 | 0.6665 | 0.6769 | 0.6665 | 0.8164 |
| No log | 4.26 | 426 | 0.6440 | 0.6777 | 0.6440 | 0.8025 |
| No log | 4.28 | 428 | 0.6495 | 0.6891 | 0.6495 | 0.8059 |
| No log | 4.3 | 430 | 0.6523 | 0.7001 | 0.6523 | 0.8076 |
| No log | 4.32 | 432 | 0.6634 | 0.6701 | 0.6634 | 0.8145 |
| No log | 4.34 | 434 | 0.6663 | 0.6767 | 0.6663 | 0.8163 |
| No log | 4.36 | 436 | 0.6922 | 0.6237 | 0.6922 | 0.8320 |
| No log | 4.38 | 438 | 0.7008 | 0.6243 | 0.7008 | 0.8371 |
| No log | 4.4 | 440 | 0.6809 | 0.6291 | 0.6809 | 0.8252 |
| No log | 4.42 | 442 | 0.6696 | 0.6250 | 0.6696 | 0.8183 |
| No log | 4.44 | 444 | 0.7001 | 0.6705 | 0.7001 | 0.8367 |
| No log | 4.46 | 446 | 0.7869 | 0.6685 | 0.7869 | 0.8871 |
| No log | 4.48 | 448 | 0.7616 | 0.6785 | 0.7616 | 0.8727 |
| No log | 4.5 | 450 | 0.6682 | 0.6839 | 0.6682 | 0.8174 |
| No log | 4.52 | 452 | 0.6554 | 0.6746 | 0.6554 | 0.8096 |
| No log | 4.54 | 454 | 0.7067 | 0.6633 | 0.7067 | 0.8406 |
| No log | 4.5600 | 456 | 0.8048 | 0.6198 | 0.8048 | 0.8971 |
| No log | 4.58 | 458 | 0.7998 | 0.6233 | 0.7998 | 0.8943 |
| No log | 4.6 | 460 | 0.8252 | 0.6092 | 0.8252 | 0.9084 |
| No log | 4.62 | 462 | 0.7800 | 0.6366 | 0.7800 | 0.8832 |
| No log | 4.64 | 464 | 0.6843 | 0.6288 | 0.6843 | 0.8272 |
| No log | 4.66 | 466 | 0.6498 | 0.6789 | 0.6498 | 0.8061 |
| No log | 4.68 | 468 | 0.6623 | 0.6394 | 0.6623 | 0.8138 |
| No log | 4.7 | 470 | 0.7332 | 0.6358 | 0.7332 | 0.8562 |
| No log | 4.72 | 472 | 0.8492 | 0.6309 | 0.8492 | 0.9215 |
| No log | 4.74 | 474 | 0.9065 | 0.5717 | 0.9065 | 0.9521 |
| No log | 4.76 | 476 | 0.8183 | 0.5982 | 0.8183 | 0.9046 |
| No log | 4.78 | 478 | 0.6890 | 0.6462 | 0.6890 | 0.8301 |
| No log | 4.8 | 480 | 0.6663 | 0.6476 | 0.6663 | 0.8163 |
| No log | 4.82 | 482 | 0.6722 | 0.6356 | 0.6722 | 0.8198 |
| No log | 4.84 | 484 | 0.6947 | 0.6150 | 0.6947 | 0.8335 |
| No log | 4.86 | 486 | 0.7273 | 0.6239 | 0.7273 | 0.8528 |
| No log | 4.88 | 488 | 0.7676 | 0.6354 | 0.7676 | 0.8762 |
| No log | 4.9 | 490 | 0.7701 | 0.6418 | 0.7701 | 0.8776 |
| No log | 4.92 | 492 | 0.7204 | 0.6446 | 0.7204 | 0.8488 |
| No log | 4.9400 | 494 | 0.7138 | 0.6427 | 0.7138 | 0.8449 |
| No log | 4.96 | 496 | 0.6946 | 0.6414 | 0.6946 | 0.8334 |
| No log | 4.98 | 498 | 0.7284 | 0.6715 | 0.7284 | 0.8535 |
| 0.4589 | 5.0 | 500 | 0.8391 | 0.6034 | 0.8391 | 0.9160 |
| 0.4589 | 5.02 | 502 | 0.9217 | 0.5740 | 0.9217 | 0.9601 |
| 0.4589 | 5.04 | 504 | 0.9379 | 0.5583 | 0.9379 | 0.9685 |
| 0.4589 | 5.06 | 506 | 0.8488 | 0.6106 | 0.8488 | 0.9213 |
| 0.4589 | 5.08 | 508 | 0.7816 | 0.6288 | 0.7816 | 0.8841 |
| 0.4589 | 5.1 | 510 | 0.7589 | 0.6715 | 0.7589 | 0.8712 |
| 0.4589 | 5.12 | 512 | 0.7987 | 0.6498 | 0.7987 | 0.8937 |
| 0.4589 | 5.14 | 514 | 0.8874 | 0.6240 | 0.8874 | 0.9420 |
| 0.4589 | 5.16 | 516 | 0.8970 | 0.6181 | 0.8970 | 0.9471 |
| 0.4589 | 5.18 | 518 | 0.8700 | 0.6197 | 0.8700 | 0.9327 |
| 0.4589 | 5.2 | 520 | 0.9011 | 0.6087 | 0.9011 | 0.9492 |
| 0.4589 | 5.22 | 522 | 0.9233 | 0.6117 | 0.9233 | 0.9609 |
| 0.4589 | 5.24 | 524 | 0.9383 | 0.5656 | 0.9383 | 0.9686 |
| 0.4589 | 5.26 | 526 | 0.9356 | 0.5606 | 0.9356 | 0.9672 |
| 0.4589 | 5.28 | 528 | 0.9748 | 0.5563 | 0.9748 | 0.9873 |
| 0.4589 | 5.3 | 530 | 0.9621 | 0.5666 | 0.9621 | 0.9809 |
| 0.4589 | 5.32 | 532 | 0.9740 | 0.5327 | 0.9740 | 0.9869 |
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_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task1_organization
Base model
aubmindlab/bert-base-arabertv02