Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k10_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k10_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k10_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k10_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k10_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run3_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: 0.6080
- Qwk: 0.7785
- Mse: 0.6080
- Rmse: 0.7798
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 | 0.0426 | 2 | 7.2309 | -0.0056 | 7.2309 | 2.6890 |
| No log | 0.0851 | 4 | 5.1133 | 0.0504 | 5.1133 | 2.2613 |
| No log | 0.1277 | 6 | 3.8256 | -0.0104 | 3.8256 | 1.9559 |
| No log | 0.1702 | 8 | 3.4712 | 0.0219 | 3.4712 | 1.8631 |
| No log | 0.2128 | 10 | 3.2927 | 0.0118 | 3.2927 | 1.8146 |
| No log | 0.2553 | 12 | 2.0556 | 0.0165 | 2.0556 | 1.4337 |
| No log | 0.2979 | 14 | 1.8865 | 0.1770 | 1.8865 | 1.3735 |
| No log | 0.3404 | 16 | 2.1522 | 0.0794 | 2.1522 | 1.4670 |
| No log | 0.3830 | 18 | 2.6013 | 0.1241 | 2.6013 | 1.6128 |
| No log | 0.4255 | 20 | 2.1118 | 0.1120 | 2.1118 | 1.4532 |
| No log | 0.4681 | 22 | 2.0170 | 0.1301 | 2.0170 | 1.4202 |
| No log | 0.5106 | 24 | 2.1051 | 0.125 | 2.1051 | 1.4509 |
| No log | 0.5532 | 26 | 2.0674 | 0.1970 | 2.0674 | 1.4378 |
| No log | 0.5957 | 28 | 1.4782 | 0.3419 | 1.4782 | 1.2158 |
| No log | 0.6383 | 30 | 1.2165 | 0.3793 | 1.2165 | 1.1029 |
| No log | 0.6809 | 32 | 1.1450 | 0.4918 | 1.1450 | 1.0700 |
| No log | 0.7234 | 34 | 1.4473 | 0.4122 | 1.4473 | 1.2030 |
| No log | 0.7660 | 36 | 2.3856 | 0.2485 | 2.3856 | 1.5445 |
| No log | 0.8085 | 38 | 2.9733 | 0.1939 | 2.9733 | 1.7243 |
| No log | 0.8511 | 40 | 2.4958 | 0.2619 | 2.4958 | 1.5798 |
| No log | 0.8936 | 42 | 1.5643 | 0.4218 | 1.5643 | 1.2507 |
| No log | 0.9362 | 44 | 0.9565 | 0.6812 | 0.9565 | 0.9780 |
| No log | 0.9787 | 46 | 0.9833 | 0.5802 | 0.9833 | 0.9916 |
| No log | 1.0213 | 48 | 1.4463 | 0.4219 | 1.4463 | 1.2026 |
| No log | 1.0638 | 50 | 1.4932 | 0.3902 | 1.4932 | 1.2220 |
| No log | 1.1064 | 52 | 0.9269 | 0.5909 | 0.9269 | 0.9627 |
| No log | 1.1489 | 54 | 0.8992 | 0.6761 | 0.8992 | 0.9483 |
| No log | 1.1915 | 56 | 1.4354 | 0.4932 | 1.4354 | 1.1981 |
| No log | 1.2340 | 58 | 1.6004 | 0.5161 | 1.6004 | 1.2651 |
| No log | 1.2766 | 60 | 1.2666 | 0.4966 | 1.2666 | 1.1254 |
| No log | 1.3191 | 62 | 0.7760 | 0.7429 | 0.7760 | 0.8809 |
| No log | 1.3617 | 64 | 0.7331 | 0.7050 | 0.7331 | 0.8562 |
| No log | 1.4043 | 66 | 0.8275 | 0.6429 | 0.8275 | 0.9097 |
| No log | 1.4468 | 68 | 0.7125 | 0.7092 | 0.7125 | 0.8441 |
| No log | 1.4894 | 70 | 0.6363 | 0.7413 | 0.6363 | 0.7977 |
| No log | 1.5319 | 72 | 0.7595 | 0.7568 | 0.7595 | 0.8715 |
| No log | 1.5745 | 74 | 0.9203 | 0.6410 | 0.9203 | 0.9593 |
| No log | 1.6170 | 76 | 0.8649 | 0.6452 | 0.8649 | 0.9300 |
| No log | 1.6596 | 78 | 0.9772 | 0.6623 | 0.9772 | 0.9885 |
| No log | 1.7021 | 80 | 1.1036 | 0.6194 | 1.1036 | 1.0505 |
| No log | 1.7447 | 82 | 0.9462 | 0.6176 | 0.9462 | 0.9727 |
| No log | 1.7872 | 84 | 0.7600 | 0.6815 | 0.7600 | 0.8718 |
| No log | 1.8298 | 86 | 0.7357 | 0.7338 | 0.7357 | 0.8577 |
| No log | 1.8723 | 88 | 0.7578 | 0.7101 | 0.7578 | 0.8705 |
| No log | 1.9149 | 90 | 0.7569 | 0.7059 | 0.7569 | 0.8700 |
| No log | 1.9574 | 92 | 0.7285 | 0.6765 | 0.7285 | 0.8535 |
| No log | 2.0 | 94 | 0.6864 | 0.7518 | 0.6864 | 0.8285 |
| No log | 2.0426 | 96 | 0.7432 | 0.7083 | 0.7432 | 0.8621 |
| No log | 2.0851 | 98 | 0.7688 | 0.6803 | 0.7688 | 0.8768 |
| No log | 2.1277 | 100 | 0.6345 | 0.7974 | 0.6345 | 0.7965 |
| No log | 2.1702 | 102 | 0.8065 | 0.6883 | 0.8065 | 0.8981 |
| No log | 2.2128 | 104 | 1.1117 | 0.6024 | 1.1117 | 1.0544 |
| No log | 2.2553 | 106 | 1.1955 | 0.5952 | 1.1955 | 1.0934 |
| No log | 2.2979 | 108 | 0.8087 | 0.6338 | 0.8087 | 0.8993 |
| No log | 2.3404 | 110 | 0.6576 | 0.7465 | 0.6576 | 0.8109 |
| No log | 2.3830 | 112 | 0.6951 | 0.7234 | 0.6951 | 0.8337 |
| No log | 2.4255 | 114 | 0.6522 | 0.7552 | 0.6522 | 0.8076 |
| No log | 2.4681 | 116 | 0.6497 | 0.7778 | 0.6497 | 0.8061 |
| No log | 2.5106 | 118 | 0.6606 | 0.7862 | 0.6606 | 0.8128 |
| No log | 2.5532 | 120 | 0.6635 | 0.7724 | 0.6635 | 0.8145 |
| No log | 2.5957 | 122 | 0.7505 | 0.7162 | 0.7505 | 0.8663 |
| No log | 2.6383 | 124 | 0.8792 | 0.6338 | 0.8792 | 0.9377 |
| No log | 2.6809 | 126 | 0.9788 | 0.5693 | 0.9788 | 0.9894 |
| No log | 2.7234 | 128 | 0.8359 | 0.6906 | 0.8359 | 0.9143 |
| No log | 2.7660 | 130 | 0.9219 | 0.5797 | 0.9219 | 0.9602 |
| No log | 2.8085 | 132 | 1.2609 | 0.5455 | 1.2609 | 1.1229 |
| No log | 2.8511 | 134 | 1.1282 | 0.5658 | 1.1282 | 1.0622 |
| No log | 2.8936 | 136 | 0.7880 | 0.7286 | 0.7880 | 0.8877 |
| No log | 2.9362 | 138 | 0.7712 | 0.7143 | 0.7712 | 0.8782 |
| No log | 2.9787 | 140 | 0.7261 | 0.7413 | 0.7261 | 0.8521 |
| No log | 3.0213 | 142 | 0.7236 | 0.7368 | 0.7236 | 0.8507 |
| No log | 3.0638 | 144 | 0.7133 | 0.7643 | 0.7133 | 0.8446 |
| No log | 3.1064 | 146 | 0.6684 | 0.7383 | 0.6684 | 0.8176 |
| No log | 3.1489 | 148 | 0.7456 | 0.6980 | 0.7456 | 0.8635 |
| No log | 3.1915 | 150 | 0.8047 | 0.6757 | 0.8047 | 0.8970 |
| No log | 3.2340 | 152 | 0.7673 | 0.6986 | 0.7673 | 0.8760 |
| No log | 3.2766 | 154 | 0.6982 | 0.75 | 0.6982 | 0.8356 |
| No log | 3.3191 | 156 | 0.9545 | 0.6040 | 0.9545 | 0.9770 |
| No log | 3.3617 | 158 | 0.9866 | 0.6040 | 0.9866 | 0.9933 |
| No log | 3.4043 | 160 | 0.7495 | 0.7483 | 0.7495 | 0.8657 |
| No log | 3.4468 | 162 | 0.7201 | 0.7619 | 0.7201 | 0.8486 |
| No log | 3.4894 | 164 | 0.7997 | 0.6897 | 0.7997 | 0.8942 |
| No log | 3.5319 | 166 | 0.7341 | 0.7517 | 0.7341 | 0.8568 |
| No log | 3.5745 | 168 | 0.6535 | 0.7808 | 0.6535 | 0.8084 |
| No log | 3.6170 | 170 | 0.7529 | 0.6933 | 0.7529 | 0.8677 |
| No log | 3.6596 | 172 | 0.8076 | 0.6351 | 0.8076 | 0.8987 |
| No log | 3.7021 | 174 | 0.6932 | 0.7020 | 0.6932 | 0.8326 |
| No log | 3.7447 | 176 | 0.6287 | 0.8129 | 0.6287 | 0.7929 |
| No log | 3.7872 | 178 | 0.6755 | 0.7467 | 0.6755 | 0.8219 |
| No log | 3.8298 | 180 | 0.6711 | 0.7532 | 0.6711 | 0.8192 |
| No log | 3.8723 | 182 | 0.6007 | 0.7975 | 0.6007 | 0.7750 |
| No log | 3.9149 | 184 | 0.5720 | 0.8050 | 0.5720 | 0.7563 |
| No log | 3.9574 | 186 | 0.6465 | 0.7778 | 0.6465 | 0.8041 |
| No log | 4.0 | 188 | 0.6523 | 0.8 | 0.6523 | 0.8076 |
| No log | 4.0426 | 190 | 0.6050 | 0.7975 | 0.6050 | 0.7778 |
| No log | 4.0851 | 192 | 0.6297 | 0.8148 | 0.6297 | 0.7936 |
| No log | 4.1277 | 194 | 0.6544 | 0.7949 | 0.6544 | 0.8090 |
| No log | 4.1702 | 196 | 0.6497 | 0.7975 | 0.6497 | 0.8061 |
| No log | 4.2128 | 198 | 0.7391 | 0.7799 | 0.7391 | 0.8597 |
| No log | 4.2553 | 200 | 0.7962 | 0.7879 | 0.7962 | 0.8923 |
| No log | 4.2979 | 202 | 0.7265 | 0.8025 | 0.7265 | 0.8523 |
| No log | 4.3404 | 204 | 0.6265 | 0.7826 | 0.6265 | 0.7915 |
| No log | 4.3830 | 206 | 0.6444 | 0.7901 | 0.6444 | 0.8028 |
| No log | 4.4255 | 208 | 0.6643 | 0.8193 | 0.6643 | 0.8150 |
| No log | 4.4681 | 210 | 0.5915 | 0.7952 | 0.5915 | 0.7691 |
| No log | 4.5106 | 212 | 0.5980 | 0.7952 | 0.5980 | 0.7733 |
| No log | 4.5532 | 214 | 0.7653 | 0.7802 | 0.7653 | 0.8748 |
| No log | 4.5957 | 216 | 0.8515 | 0.7374 | 0.8515 | 0.9228 |
| No log | 4.6383 | 218 | 0.7889 | 0.7730 | 0.7889 | 0.8882 |
| No log | 4.6809 | 220 | 0.6477 | 0.7875 | 0.6477 | 0.8048 |
| No log | 4.7234 | 222 | 0.6280 | 0.7919 | 0.6280 | 0.7925 |
| No log | 4.7660 | 224 | 0.6784 | 0.7712 | 0.6784 | 0.8237 |
| No log | 4.8085 | 226 | 0.7255 | 0.7848 | 0.7255 | 0.8518 |
| No log | 4.8511 | 228 | 0.6978 | 0.7733 | 0.6978 | 0.8353 |
| No log | 4.8936 | 230 | 0.6391 | 0.7808 | 0.6391 | 0.7994 |
| No log | 4.9362 | 232 | 0.6336 | 0.7862 | 0.6336 | 0.7960 |
| No log | 4.9787 | 234 | 0.6958 | 0.7273 | 0.6958 | 0.8341 |
| No log | 5.0213 | 236 | 0.7007 | 0.7517 | 0.7007 | 0.8371 |
| No log | 5.0638 | 238 | 0.6546 | 0.7639 | 0.6546 | 0.8091 |
| No log | 5.1064 | 240 | 0.6761 | 0.8028 | 0.6761 | 0.8222 |
| No log | 5.1489 | 242 | 0.6653 | 0.8138 | 0.6653 | 0.8156 |
| No log | 5.1915 | 244 | 0.5982 | 0.8219 | 0.5982 | 0.7734 |
| No log | 5.2340 | 246 | 0.6351 | 0.7898 | 0.6351 | 0.7969 |
| No log | 5.2766 | 248 | 0.7026 | 0.7333 | 0.7026 | 0.8382 |
| No log | 5.3191 | 250 | 0.6433 | 0.7568 | 0.6433 | 0.8021 |
| No log | 5.3617 | 252 | 0.5777 | 0.8054 | 0.5777 | 0.7601 |
| No log | 5.4043 | 254 | 0.5887 | 0.8158 | 0.5887 | 0.7672 |
| No log | 5.4468 | 256 | 0.6011 | 0.8105 | 0.6011 | 0.7753 |
| No log | 5.4894 | 258 | 0.6309 | 0.7763 | 0.6309 | 0.7943 |
| No log | 5.5319 | 260 | 0.6257 | 0.7763 | 0.6257 | 0.7910 |
| No log | 5.5745 | 262 | 0.5538 | 0.825 | 0.5538 | 0.7442 |
| No log | 5.6170 | 264 | 0.5348 | 0.8272 | 0.5348 | 0.7313 |
| No log | 5.6596 | 266 | 0.5205 | 0.8242 | 0.5205 | 0.7214 |
| No log | 5.7021 | 268 | 0.5701 | 0.8315 | 0.5701 | 0.7550 |
| No log | 5.7447 | 270 | 0.6184 | 0.7933 | 0.6184 | 0.7864 |
| No log | 5.7872 | 272 | 0.5593 | 0.8202 | 0.5593 | 0.7478 |
| No log | 5.8298 | 274 | 0.5145 | 0.8452 | 0.5145 | 0.7173 |
| No log | 5.8723 | 276 | 0.5252 | 0.8344 | 0.5252 | 0.7247 |
| No log | 5.9149 | 278 | 0.5610 | 0.8344 | 0.5610 | 0.7490 |
| No log | 5.9574 | 280 | 0.6435 | 0.7949 | 0.6435 | 0.8022 |
| No log | 6.0 | 282 | 0.7302 | 0.75 | 0.7302 | 0.8545 |
| No log | 6.0426 | 284 | 0.7222 | 0.7237 | 0.7222 | 0.8498 |
| No log | 6.0851 | 286 | 0.6464 | 0.8026 | 0.6464 | 0.8040 |
| No log | 6.1277 | 288 | 0.6164 | 0.8052 | 0.6164 | 0.7851 |
| No log | 6.1702 | 290 | 0.6410 | 0.7771 | 0.6410 | 0.8006 |
| No log | 6.2128 | 292 | 0.5791 | 0.7975 | 0.5791 | 0.7610 |
| No log | 6.2553 | 294 | 0.5080 | 0.8554 | 0.5080 | 0.7127 |
| No log | 6.2979 | 296 | 0.5154 | 0.8415 | 0.5154 | 0.7179 |
| No log | 6.3404 | 298 | 0.5307 | 0.8415 | 0.5307 | 0.7285 |
| No log | 6.3830 | 300 | 0.5313 | 0.8519 | 0.5313 | 0.7289 |
| No log | 6.4255 | 302 | 0.6257 | 0.7901 | 0.6257 | 0.7910 |
| No log | 6.4681 | 304 | 0.7058 | 0.7285 | 0.7058 | 0.8401 |
| No log | 6.5106 | 306 | 0.6977 | 0.7483 | 0.6977 | 0.8353 |
| No log | 6.5532 | 308 | 0.6365 | 0.8026 | 0.6365 | 0.7978 |
| No log | 6.5957 | 310 | 0.6716 | 0.7949 | 0.6716 | 0.8195 |
| No log | 6.6383 | 312 | 0.7605 | 0.6839 | 0.7605 | 0.8721 |
| No log | 6.6809 | 314 | 0.7395 | 0.7205 | 0.7395 | 0.8599 |
| No log | 6.7234 | 316 | 0.5583 | 0.8193 | 0.5583 | 0.7472 |
| No log | 6.7660 | 318 | 0.4933 | 0.8221 | 0.4933 | 0.7023 |
| No log | 6.8085 | 320 | 0.5605 | 0.7975 | 0.5605 | 0.7487 |
| No log | 6.8511 | 322 | 0.5536 | 0.7975 | 0.5536 | 0.7440 |
| No log | 6.8936 | 324 | 0.5002 | 0.8272 | 0.5002 | 0.7073 |
| No log | 6.9362 | 326 | 0.4862 | 0.8434 | 0.4862 | 0.6973 |
| No log | 6.9787 | 328 | 0.5369 | 0.8313 | 0.5369 | 0.7328 |
| No log | 7.0213 | 330 | 0.5488 | 0.8323 | 0.5488 | 0.7408 |
| No log | 7.0638 | 332 | 0.5946 | 0.8052 | 0.5946 | 0.7711 |
| No log | 7.1064 | 334 | 0.6941 | 0.7483 | 0.6941 | 0.8331 |
| No log | 7.1489 | 336 | 0.7092 | 0.7260 | 0.7092 | 0.8422 |
| No log | 7.1915 | 338 | 0.6160 | 0.7815 | 0.6160 | 0.7849 |
| No log | 7.2340 | 340 | 0.5810 | 0.8428 | 0.5810 | 0.7622 |
| No log | 7.2766 | 342 | 0.6896 | 0.7799 | 0.6896 | 0.8304 |
| No log | 7.3191 | 344 | 0.7783 | 0.7665 | 0.7783 | 0.8822 |
| No log | 7.3617 | 346 | 0.6677 | 0.7853 | 0.6677 | 0.8171 |
| No log | 7.4043 | 348 | 0.5470 | 0.8129 | 0.5470 | 0.7396 |
| No log | 7.4468 | 350 | 0.6549 | 0.7545 | 0.6549 | 0.8092 |
| No log | 7.4894 | 352 | 0.7394 | 0.7073 | 0.7394 | 0.8599 |
| No log | 7.5319 | 354 | 0.6950 | 0.7162 | 0.6950 | 0.8337 |
| No log | 7.5745 | 356 | 0.5799 | 0.7792 | 0.5799 | 0.7615 |
| No log | 7.6170 | 358 | 0.5828 | 0.8052 | 0.5828 | 0.7634 |
| No log | 7.6596 | 360 | 0.6118 | 0.8105 | 0.6118 | 0.7822 |
| No log | 7.7021 | 362 | 0.6091 | 0.7838 | 0.6091 | 0.7804 |
| No log | 7.7447 | 364 | 0.5802 | 0.8153 | 0.5802 | 0.7617 |
| No log | 7.7872 | 366 | 0.5492 | 0.8199 | 0.5492 | 0.7411 |
| No log | 7.8298 | 368 | 0.5634 | 0.8199 | 0.5634 | 0.7506 |
| No log | 7.8723 | 370 | 0.5564 | 0.8199 | 0.5564 | 0.7459 |
| No log | 7.9149 | 372 | 0.5106 | 0.8199 | 0.5106 | 0.7146 |
| No log | 7.9574 | 374 | 0.5049 | 0.8199 | 0.5049 | 0.7106 |
| No log | 8.0 | 376 | 0.5398 | 0.7922 | 0.5398 | 0.7347 |
| No log | 8.0426 | 378 | 0.5722 | 0.7692 | 0.5722 | 0.7564 |
| No log | 8.0851 | 380 | 0.5619 | 0.7838 | 0.5619 | 0.7496 |
| No log | 8.1277 | 382 | 0.5572 | 0.8272 | 0.5572 | 0.7465 |
| No log | 8.1702 | 384 | 0.6847 | 0.7673 | 0.6847 | 0.8274 |
| No log | 8.2128 | 386 | 0.7853 | 0.7037 | 0.7853 | 0.8862 |
| No log | 8.2553 | 388 | 0.7117 | 0.7375 | 0.7117 | 0.8436 |
| No log | 8.2979 | 390 | 0.5640 | 0.8199 | 0.5640 | 0.7510 |
| No log | 8.3404 | 392 | 0.5213 | 0.825 | 0.5213 | 0.7220 |
| No log | 8.3830 | 394 | 0.5683 | 0.7838 | 0.5683 | 0.7539 |
| No log | 8.4255 | 396 | 0.5706 | 0.7919 | 0.5706 | 0.7553 |
| No log | 8.4681 | 398 | 0.5469 | 0.8054 | 0.5469 | 0.7395 |
| No log | 8.5106 | 400 | 0.5216 | 0.8133 | 0.5216 | 0.7222 |
| No log | 8.5532 | 402 | 0.5287 | 0.8212 | 0.5287 | 0.7271 |
| No log | 8.5957 | 404 | 0.5535 | 0.8212 | 0.5535 | 0.7440 |
| No log | 8.6383 | 406 | 0.5653 | 0.8212 | 0.5653 | 0.7519 |
| No log | 8.6809 | 408 | 0.5857 | 0.7973 | 0.5857 | 0.7653 |
| No log | 8.7234 | 410 | 0.5819 | 0.7973 | 0.5819 | 0.7628 |
| No log | 8.7660 | 412 | 0.5561 | 0.8212 | 0.5561 | 0.7457 |
| No log | 8.8085 | 414 | 0.5187 | 0.8212 | 0.5187 | 0.7202 |
| No log | 8.8511 | 416 | 0.4900 | 0.8312 | 0.4900 | 0.7000 |
| No log | 8.8936 | 418 | 0.5010 | 0.8105 | 0.5010 | 0.7078 |
| No log | 8.9362 | 420 | 0.5142 | 0.8105 | 0.5142 | 0.7171 |
| No log | 8.9787 | 422 | 0.5496 | 0.7973 | 0.5496 | 0.7414 |
| No log | 9.0213 | 424 | 0.5839 | 0.7919 | 0.5839 | 0.7641 |
| No log | 9.0638 | 426 | 0.6297 | 0.7568 | 0.6297 | 0.7935 |
| No log | 9.1064 | 428 | 0.5889 | 0.7838 | 0.5889 | 0.7674 |
| No log | 9.1489 | 430 | 0.5299 | 0.7973 | 0.5299 | 0.7280 |
| No log | 9.1915 | 432 | 0.4961 | 0.8129 | 0.4961 | 0.7043 |
| No log | 9.2340 | 434 | 0.4778 | 0.8395 | 0.4778 | 0.6912 |
| No log | 9.2766 | 436 | 0.4715 | 0.8148 | 0.4715 | 0.6866 |
| No log | 9.3191 | 438 | 0.4862 | 0.8153 | 0.4862 | 0.6973 |
| No log | 9.3617 | 440 | 0.4947 | 0.8052 | 0.4947 | 0.7034 |
| No log | 9.4043 | 442 | 0.4764 | 0.8153 | 0.4764 | 0.6902 |
| No log | 9.4468 | 444 | 0.5104 | 0.825 | 0.5104 | 0.7145 |
| No log | 9.4894 | 446 | 0.6228 | 0.7799 | 0.6228 | 0.7892 |
| No log | 9.5319 | 448 | 0.6146 | 0.8 | 0.6146 | 0.7839 |
| No log | 9.5745 | 450 | 0.5593 | 0.8176 | 0.5593 | 0.7479 |
| No log | 9.6170 | 452 | 0.5031 | 0.8212 | 0.5031 | 0.7093 |
| No log | 9.6596 | 454 | 0.4920 | 0.8228 | 0.4920 | 0.7014 |
| No log | 9.7021 | 456 | 0.5090 | 0.8199 | 0.5090 | 0.7134 |
| No log | 9.7447 | 458 | 0.5955 | 0.8024 | 0.5955 | 0.7717 |
| No log | 9.7872 | 460 | 0.5730 | 0.8024 | 0.5730 | 0.7570 |
| No log | 9.8298 | 462 | 0.5040 | 0.8148 | 0.5040 | 0.7099 |
| No log | 9.8723 | 464 | 0.4741 | 0.8121 | 0.4741 | 0.6886 |
| No log | 9.9149 | 466 | 0.5055 | 0.8182 | 0.5055 | 0.7110 |
| No log | 9.9574 | 468 | 0.5164 | 0.8205 | 0.5164 | 0.7186 |
| No log | 10.0 | 470 | 0.5378 | 0.7973 | 0.5378 | 0.7334 |
| No log | 10.0426 | 472 | 0.5383 | 0.8163 | 0.5383 | 0.7337 |
| No log | 10.0851 | 474 | 0.5218 | 0.8052 | 0.5218 | 0.7224 |
| No log | 10.1277 | 476 | 0.5335 | 0.8153 | 0.5335 | 0.7304 |
| No log | 10.1702 | 478 | 0.5159 | 0.8052 | 0.5159 | 0.7183 |
| No log | 10.2128 | 480 | 0.5351 | 0.8082 | 0.5351 | 0.7315 |
| No log | 10.2553 | 482 | 0.5353 | 0.8163 | 0.5353 | 0.7317 |
| No log | 10.2979 | 484 | 0.5299 | 0.8054 | 0.5299 | 0.7279 |
| No log | 10.3404 | 486 | 0.5277 | 0.8163 | 0.5277 | 0.7265 |
| No log | 10.3830 | 488 | 0.5288 | 0.8027 | 0.5288 | 0.7272 |
| No log | 10.4255 | 490 | 0.5969 | 0.7724 | 0.5969 | 0.7726 |
| No log | 10.4681 | 492 | 0.6086 | 0.7639 | 0.6086 | 0.7801 |
| No log | 10.5106 | 494 | 0.6046 | 0.7724 | 0.6046 | 0.7776 |
| No log | 10.5532 | 496 | 0.5758 | 0.7808 | 0.5758 | 0.7588 |
| No log | 10.5957 | 498 | 0.5506 | 0.8235 | 0.5506 | 0.7420 |
| 0.3984 | 10.6383 | 500 | 0.5223 | 0.8182 | 0.5223 | 0.7227 |
| 0.3984 | 10.6809 | 502 | 0.5216 | 0.8354 | 0.5216 | 0.7222 |
| 0.3984 | 10.7234 | 504 | 0.5605 | 0.8344 | 0.5605 | 0.7487 |
| 0.3984 | 10.7660 | 506 | 0.5493 | 0.8153 | 0.5493 | 0.7412 |
| 0.3984 | 10.8085 | 508 | 0.5561 | 0.8243 | 0.5561 | 0.7457 |
| 0.3984 | 10.8511 | 510 | 0.6123 | 0.8163 | 0.6123 | 0.7825 |
| 0.3984 | 10.8936 | 512 | 0.6276 | 0.8082 | 0.6276 | 0.7922 |
| 0.3984 | 10.9362 | 514 | 0.6075 | 0.7972 | 0.6075 | 0.7794 |
| 0.3984 | 10.9787 | 516 | 0.5857 | 0.7945 | 0.5857 | 0.7653 |
| 0.3984 | 11.0213 | 518 | 0.6080 | 0.7785 | 0.6080 | 0.7798 |
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_FineTuningAraBERT_run3_AugV5_k10_task1_organization
Base model
aubmindlab/bert-base-arabertv02