Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k15_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k15_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k15_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k15_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k15_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k15_task5_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: 0.8332
- Qwk: 0.6818
- Mse: 0.8332
- Rmse: 0.9128
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 | 2.2879 | -0.0109 | 2.2879 | 1.5126 |
| No log | 0.0727 | 4 | 1.6532 | 0.0825 | 1.6532 | 1.2858 |
| No log | 0.1091 | 6 | 1.6080 | 0.1857 | 1.6080 | 1.2681 |
| No log | 0.1455 | 8 | 1.6449 | 0.2394 | 1.6449 | 1.2825 |
| No log | 0.1818 | 10 | 1.4787 | 0.3169 | 1.4787 | 1.2160 |
| No log | 0.2182 | 12 | 1.3871 | 0.3169 | 1.3871 | 1.1778 |
| No log | 0.2545 | 14 | 1.4342 | 0.3230 | 1.4342 | 1.1976 |
| No log | 0.2909 | 16 | 1.3537 | 0.2768 | 1.3537 | 1.1635 |
| No log | 0.3273 | 18 | 1.3268 | 0.2116 | 1.3268 | 1.1519 |
| No log | 0.3636 | 20 | 1.3485 | 0.1939 | 1.3485 | 1.1613 |
| No log | 0.4 | 22 | 1.4362 | 0.3091 | 1.4362 | 1.1984 |
| No log | 0.4364 | 24 | 1.5002 | 0.3065 | 1.5002 | 1.2248 |
| No log | 0.4727 | 26 | 1.5814 | 0.3303 | 1.5814 | 1.2575 |
| No log | 0.5091 | 28 | 1.4827 | 0.3186 | 1.4827 | 1.2177 |
| No log | 0.5455 | 30 | 1.4265 | 0.3380 | 1.4265 | 1.1943 |
| No log | 0.5818 | 32 | 1.3102 | 0.3297 | 1.3102 | 1.1447 |
| No log | 0.6182 | 34 | 1.2467 | 0.3193 | 1.2467 | 1.1165 |
| No log | 0.6545 | 36 | 1.2202 | 0.2522 | 1.2202 | 1.1046 |
| No log | 0.6909 | 38 | 1.2305 | 0.2378 | 1.2305 | 1.1093 |
| No log | 0.7273 | 40 | 1.3569 | 0.2424 | 1.3569 | 1.1649 |
| No log | 0.7636 | 42 | 1.6466 | 0.1917 | 1.6466 | 1.2832 |
| No log | 0.8 | 44 | 1.8324 | 0.1163 | 1.8324 | 1.3537 |
| No log | 0.8364 | 46 | 1.6964 | 0.1168 | 1.6964 | 1.3024 |
| No log | 0.8727 | 48 | 1.4482 | 0.2182 | 1.4482 | 1.2034 |
| No log | 0.9091 | 50 | 1.2822 | 0.3353 | 1.2822 | 1.1323 |
| No log | 0.9455 | 52 | 1.2316 | 0.3154 | 1.2316 | 1.1098 |
| No log | 0.9818 | 54 | 1.2554 | 0.2507 | 1.2554 | 1.1205 |
| No log | 1.0182 | 56 | 1.2500 | 0.2751 | 1.2500 | 1.1180 |
| No log | 1.0545 | 58 | 1.2880 | 0.3174 | 1.2880 | 1.1349 |
| No log | 1.0909 | 60 | 1.3817 | 0.2838 | 1.3817 | 1.1754 |
| No log | 1.1273 | 62 | 1.3600 | 0.3161 | 1.3600 | 1.1662 |
| No log | 1.1636 | 64 | 1.2070 | 0.3819 | 1.2070 | 1.0986 |
| No log | 1.2 | 66 | 1.1196 | 0.3961 | 1.1196 | 1.0581 |
| No log | 1.2364 | 68 | 1.0834 | 0.4346 | 1.0834 | 1.0409 |
| No log | 1.2727 | 70 | 1.0463 | 0.4739 | 1.0463 | 1.0229 |
| No log | 1.3091 | 72 | 1.2555 | 0.4611 | 1.2555 | 1.1205 |
| No log | 1.3455 | 74 | 1.4395 | 0.3702 | 1.4395 | 1.1998 |
| No log | 1.3818 | 76 | 1.3075 | 0.4362 | 1.3075 | 1.1435 |
| No log | 1.4182 | 78 | 0.9930 | 0.5514 | 0.9930 | 0.9965 |
| No log | 1.4545 | 80 | 0.9560 | 0.5200 | 0.9560 | 0.9777 |
| No log | 1.4909 | 82 | 0.9634 | 0.5071 | 0.9634 | 0.9815 |
| No log | 1.5273 | 84 | 0.9345 | 0.5315 | 0.9345 | 0.9667 |
| No log | 1.5636 | 86 | 1.0427 | 0.5165 | 1.0427 | 1.0211 |
| No log | 1.6 | 88 | 1.4705 | 0.4491 | 1.4705 | 1.2127 |
| No log | 1.6364 | 90 | 1.7438 | 0.4082 | 1.7438 | 1.3205 |
| No log | 1.6727 | 92 | 1.7991 | 0.4054 | 1.7991 | 1.3413 |
| No log | 1.7091 | 94 | 1.7405 | 0.4193 | 1.7405 | 1.3193 |
| No log | 1.7455 | 96 | 1.4347 | 0.4532 | 1.4347 | 1.1978 |
| No log | 1.7818 | 98 | 1.1553 | 0.5388 | 1.1553 | 1.0749 |
| No log | 1.8182 | 100 | 1.0025 | 0.5779 | 1.0025 | 1.0013 |
| No log | 1.8545 | 102 | 0.9504 | 0.5629 | 0.9504 | 0.9749 |
| No log | 1.8909 | 104 | 0.9912 | 0.5710 | 0.9912 | 0.9956 |
| No log | 1.9273 | 106 | 0.9726 | 0.5898 | 0.9726 | 0.9862 |
| No log | 1.9636 | 108 | 1.0294 | 0.5606 | 1.0294 | 1.0146 |
| No log | 2.0 | 110 | 1.0987 | 0.4864 | 1.0987 | 1.0482 |
| No log | 2.0364 | 112 | 1.0105 | 0.5682 | 1.0105 | 1.0052 |
| No log | 2.0727 | 114 | 0.9032 | 0.5972 | 0.9032 | 0.9504 |
| No log | 2.1091 | 116 | 0.9267 | 0.6082 | 0.9267 | 0.9627 |
| No log | 2.1455 | 118 | 1.0261 | 0.5768 | 1.0261 | 1.0129 |
| No log | 2.1818 | 120 | 0.9931 | 0.5882 | 0.9931 | 0.9965 |
| No log | 2.2182 | 122 | 0.8829 | 0.6397 | 0.8829 | 0.9397 |
| No log | 2.2545 | 124 | 0.8831 | 0.6344 | 0.8831 | 0.9397 |
| No log | 2.2909 | 126 | 0.9120 | 0.6297 | 0.9120 | 0.9550 |
| No log | 2.3273 | 128 | 0.9873 | 0.6128 | 0.9873 | 0.9936 |
| No log | 2.3636 | 130 | 1.0195 | 0.5967 | 1.0195 | 1.0097 |
| No log | 2.4 | 132 | 0.9739 | 0.6177 | 0.9739 | 0.9869 |
| No log | 2.4364 | 134 | 0.8607 | 0.6919 | 0.8607 | 0.9277 |
| No log | 2.4727 | 136 | 0.8077 | 0.6807 | 0.8077 | 0.8987 |
| No log | 2.5091 | 138 | 0.8411 | 0.6753 | 0.8411 | 0.9171 |
| No log | 2.5455 | 140 | 0.9527 | 0.6075 | 0.9527 | 0.9761 |
| No log | 2.5818 | 142 | 0.9758 | 0.6075 | 0.9758 | 0.9878 |
| No log | 2.6182 | 144 | 0.8681 | 0.6251 | 0.8681 | 0.9317 |
| No log | 2.6545 | 146 | 0.8332 | 0.6583 | 0.8332 | 0.9128 |
| No log | 2.6909 | 148 | 0.8877 | 0.6380 | 0.8877 | 0.9422 |
| No log | 2.7273 | 150 | 1.0705 | 0.5798 | 1.0705 | 1.0346 |
| No log | 2.7636 | 152 | 1.0633 | 0.5798 | 1.0633 | 1.0312 |
| No log | 2.8 | 154 | 0.9795 | 0.6059 | 0.9795 | 0.9897 |
| No log | 2.8364 | 156 | 0.8266 | 0.6347 | 0.8266 | 0.9092 |
| No log | 2.8727 | 158 | 0.7683 | 0.6930 | 0.7683 | 0.8765 |
| No log | 2.9091 | 160 | 0.7696 | 0.6474 | 0.7696 | 0.8773 |
| No log | 2.9455 | 162 | 0.7680 | 0.6769 | 0.7680 | 0.8763 |
| No log | 2.9818 | 164 | 0.8012 | 0.6653 | 0.8012 | 0.8951 |
| No log | 3.0182 | 166 | 0.9013 | 0.6278 | 0.9013 | 0.9494 |
| No log | 3.0545 | 168 | 0.9318 | 0.6269 | 0.9318 | 0.9653 |
| No log | 3.0909 | 170 | 0.8845 | 0.6310 | 0.8845 | 0.9405 |
| No log | 3.1273 | 172 | 0.8472 | 0.6490 | 0.8472 | 0.9204 |
| No log | 3.1636 | 174 | 0.8771 | 0.6092 | 0.8771 | 0.9365 |
| No log | 3.2 | 176 | 0.8978 | 0.5970 | 0.8978 | 0.9475 |
| No log | 3.2364 | 178 | 0.9157 | 0.5959 | 0.9157 | 0.9569 |
| No log | 3.2727 | 180 | 0.9643 | 0.6085 | 0.9643 | 0.9820 |
| No log | 3.3091 | 182 | 0.9463 | 0.6085 | 0.9463 | 0.9728 |
| No log | 3.3455 | 184 | 0.8651 | 0.6421 | 0.8651 | 0.9301 |
| No log | 3.3818 | 186 | 0.8631 | 0.6541 | 0.8631 | 0.9290 |
| No log | 3.4182 | 188 | 0.8242 | 0.6782 | 0.8242 | 0.9079 |
| No log | 3.4545 | 190 | 0.8084 | 0.6822 | 0.8084 | 0.8991 |
| No log | 3.4909 | 192 | 0.8191 | 0.6696 | 0.8191 | 0.9050 |
| No log | 3.5273 | 194 | 0.7944 | 0.6822 | 0.7944 | 0.8913 |
| No log | 3.5636 | 196 | 0.7815 | 0.7073 | 0.7815 | 0.8840 |
| No log | 3.6 | 198 | 0.8335 | 0.7098 | 0.8335 | 0.9130 |
| No log | 3.6364 | 200 | 0.8778 | 0.6951 | 0.8778 | 0.9369 |
| No log | 3.6727 | 202 | 0.9856 | 0.6191 | 0.9856 | 0.9928 |
| No log | 3.7091 | 204 | 1.0087 | 0.6042 | 1.0087 | 1.0043 |
| No log | 3.7455 | 206 | 0.8919 | 0.6660 | 0.8919 | 0.9444 |
| No log | 3.7818 | 208 | 0.7986 | 0.7218 | 0.7986 | 0.8936 |
| No log | 3.8182 | 210 | 0.7732 | 0.7443 | 0.7732 | 0.8793 |
| No log | 3.8545 | 212 | 0.7691 | 0.7229 | 0.7691 | 0.8770 |
| No log | 3.8909 | 214 | 0.7978 | 0.7277 | 0.7978 | 0.8932 |
| No log | 3.9273 | 216 | 0.8730 | 0.6826 | 0.8730 | 0.9344 |
| No log | 3.9636 | 218 | 1.0466 | 0.5891 | 1.0466 | 1.0230 |
| No log | 4.0 | 220 | 1.0564 | 0.5846 | 1.0564 | 1.0278 |
| No log | 4.0364 | 222 | 0.9258 | 0.6541 | 0.9258 | 0.9622 |
| No log | 4.0727 | 224 | 0.7919 | 0.7387 | 0.7919 | 0.8899 |
| No log | 4.1091 | 226 | 0.7395 | 0.7274 | 0.7395 | 0.8599 |
| No log | 4.1455 | 228 | 0.7291 | 0.7397 | 0.7291 | 0.8539 |
| No log | 4.1818 | 230 | 0.7531 | 0.7400 | 0.7531 | 0.8678 |
| No log | 4.2182 | 232 | 0.8662 | 0.6376 | 0.8662 | 0.9307 |
| No log | 4.2545 | 234 | 1.0119 | 0.5834 | 1.0119 | 1.0059 |
| No log | 4.2909 | 236 | 1.0642 | 0.5690 | 1.0642 | 1.0316 |
| No log | 4.3273 | 238 | 1.0017 | 0.5812 | 1.0017 | 1.0009 |
| No log | 4.3636 | 240 | 0.9227 | 0.6327 | 0.9227 | 0.9606 |
| No log | 4.4 | 242 | 0.8914 | 0.6336 | 0.8914 | 0.9442 |
| No log | 4.4364 | 244 | 0.8518 | 0.6331 | 0.8518 | 0.9229 |
| No log | 4.4727 | 246 | 0.8563 | 0.6569 | 0.8563 | 0.9254 |
| No log | 4.5091 | 248 | 0.9036 | 0.6144 | 0.9036 | 0.9506 |
| No log | 4.5455 | 250 | 0.8976 | 0.6224 | 0.8976 | 0.9474 |
| No log | 4.5818 | 252 | 0.9151 | 0.6186 | 0.9151 | 0.9566 |
| No log | 4.6182 | 254 | 0.8705 | 0.6634 | 0.8705 | 0.9330 |
| No log | 4.6545 | 256 | 0.8291 | 0.7098 | 0.8291 | 0.9105 |
| No log | 4.6909 | 258 | 0.8606 | 0.6810 | 0.8606 | 0.9277 |
| No log | 4.7273 | 260 | 0.9688 | 0.6088 | 0.9688 | 0.9843 |
| No log | 4.7636 | 262 | 1.0004 | 0.6000 | 1.0004 | 1.0002 |
| No log | 4.8 | 264 | 0.9065 | 0.6602 | 0.9065 | 0.9521 |
| No log | 4.8364 | 266 | 0.7908 | 0.7317 | 0.7908 | 0.8892 |
| No log | 4.8727 | 268 | 0.7338 | 0.7425 | 0.7338 | 0.8566 |
| No log | 4.9091 | 270 | 0.7324 | 0.7425 | 0.7324 | 0.8558 |
| No log | 4.9455 | 272 | 0.7739 | 0.7054 | 0.7739 | 0.8797 |
| No log | 4.9818 | 274 | 0.8663 | 0.6394 | 0.8663 | 0.9308 |
| No log | 5.0182 | 276 | 0.9468 | 0.6461 | 0.9468 | 0.9730 |
| No log | 5.0545 | 278 | 0.9089 | 0.6620 | 0.9089 | 0.9534 |
| No log | 5.0909 | 280 | 0.8522 | 0.6958 | 0.8522 | 0.9231 |
| No log | 5.1273 | 282 | 0.8188 | 0.7061 | 0.8188 | 0.9049 |
| No log | 5.1636 | 284 | 0.8401 | 0.6862 | 0.8401 | 0.9166 |
| No log | 5.2 | 286 | 0.9230 | 0.6393 | 0.9230 | 0.9608 |
| No log | 5.2364 | 288 | 0.9569 | 0.6337 | 0.9569 | 0.9782 |
| No log | 5.2727 | 290 | 1.0018 | 0.5921 | 1.0018 | 1.0009 |
| No log | 5.3091 | 292 | 0.9930 | 0.6010 | 0.9930 | 0.9965 |
| No log | 5.3455 | 294 | 1.0188 | 0.5921 | 1.0188 | 1.0094 |
| No log | 5.3818 | 296 | 0.9646 | 0.6131 | 0.9646 | 0.9821 |
| No log | 5.4182 | 298 | 0.8949 | 0.6225 | 0.8949 | 0.9460 |
| No log | 5.4545 | 300 | 0.8765 | 0.6191 | 0.8765 | 0.9362 |
| No log | 5.4909 | 302 | 0.9035 | 0.6206 | 0.9035 | 0.9505 |
| No log | 5.5273 | 304 | 0.9074 | 0.6520 | 0.9074 | 0.9526 |
| No log | 5.5636 | 306 | 0.9359 | 0.6520 | 0.9359 | 0.9674 |
| No log | 5.6 | 308 | 1.0481 | 0.6286 | 1.0481 | 1.0238 |
| No log | 5.6364 | 310 | 1.0885 | 0.6131 | 1.0885 | 1.0433 |
| No log | 5.6727 | 312 | 1.0050 | 0.6300 | 1.0050 | 1.0025 |
| No log | 5.7091 | 314 | 0.9704 | 0.6328 | 0.9704 | 0.9851 |
| No log | 5.7455 | 316 | 0.9107 | 0.6344 | 0.9107 | 0.9543 |
| No log | 5.7818 | 318 | 0.8781 | 0.6454 | 0.8781 | 0.9370 |
| No log | 5.8182 | 320 | 0.8906 | 0.6466 | 0.8906 | 0.9437 |
| No log | 5.8545 | 322 | 0.8329 | 0.7093 | 0.8329 | 0.9126 |
| No log | 5.8909 | 324 | 0.8030 | 0.7281 | 0.8030 | 0.8961 |
| No log | 5.9273 | 326 | 0.7911 | 0.7325 | 0.7911 | 0.8895 |
| No log | 5.9636 | 328 | 0.7667 | 0.7226 | 0.7667 | 0.8756 |
| No log | 6.0 | 330 | 0.7756 | 0.7226 | 0.7756 | 0.8807 |
| No log | 6.0364 | 332 | 0.7936 | 0.7033 | 0.7936 | 0.8908 |
| No log | 6.0727 | 334 | 0.8095 | 0.6777 | 0.8095 | 0.8997 |
| No log | 6.1091 | 336 | 0.7801 | 0.6991 | 0.7801 | 0.8832 |
| No log | 6.1455 | 338 | 0.7929 | 0.7098 | 0.7929 | 0.8905 |
| No log | 6.1818 | 340 | 0.8127 | 0.6792 | 0.8127 | 0.9015 |
| No log | 6.2182 | 342 | 0.7818 | 0.7139 | 0.7818 | 0.8842 |
| No log | 6.2545 | 344 | 0.7621 | 0.7310 | 0.7621 | 0.8730 |
| No log | 6.2909 | 346 | 0.7374 | 0.7491 | 0.7374 | 0.8587 |
| No log | 6.3273 | 348 | 0.7482 | 0.7526 | 0.7482 | 0.8650 |
| No log | 6.3636 | 350 | 0.7844 | 0.6759 | 0.7844 | 0.8856 |
| No log | 6.4 | 352 | 0.8244 | 0.6678 | 0.8244 | 0.9080 |
| No log | 6.4364 | 354 | 0.8630 | 0.6653 | 0.8630 | 0.9290 |
| No log | 6.4727 | 356 | 0.8786 | 0.6670 | 0.8786 | 0.9374 |
| No log | 6.5091 | 358 | 0.8253 | 0.6825 | 0.8253 | 0.9085 |
| No log | 6.5455 | 360 | 0.7826 | 0.7264 | 0.7826 | 0.8846 |
| No log | 6.5818 | 362 | 0.7549 | 0.7352 | 0.7549 | 0.8689 |
| No log | 6.6182 | 364 | 0.7707 | 0.7219 | 0.7707 | 0.8779 |
| No log | 6.6545 | 366 | 0.8072 | 0.7057 | 0.8072 | 0.8985 |
| No log | 6.6909 | 368 | 0.8445 | 0.6643 | 0.8445 | 0.9190 |
| No log | 6.7273 | 370 | 0.8953 | 0.6458 | 0.8953 | 0.9462 |
| No log | 6.7636 | 372 | 0.8960 | 0.6389 | 0.8960 | 0.9466 |
| No log | 6.8 | 374 | 0.8828 | 0.6571 | 0.8828 | 0.9396 |
| No log | 6.8364 | 376 | 0.8702 | 0.6651 | 0.8702 | 0.9329 |
| No log | 6.8727 | 378 | 0.8658 | 0.6651 | 0.8658 | 0.9305 |
| No log | 6.9091 | 380 | 0.8968 | 0.6433 | 0.8968 | 0.9470 |
| No log | 6.9455 | 382 | 0.9747 | 0.6302 | 0.9747 | 0.9873 |
| No log | 6.9818 | 384 | 1.0581 | 0.6170 | 1.0581 | 1.0286 |
| No log | 7.0182 | 386 | 1.0530 | 0.6414 | 1.0530 | 1.0262 |
| No log | 7.0545 | 388 | 1.0013 | 0.6053 | 1.0013 | 1.0007 |
| No log | 7.0909 | 390 | 0.9531 | 0.6090 | 0.9531 | 0.9763 |
| No log | 7.1273 | 392 | 0.9022 | 0.6559 | 0.9022 | 0.9499 |
| No log | 7.1636 | 394 | 0.8739 | 0.6565 | 0.8739 | 0.9348 |
| No log | 7.2 | 396 | 0.8602 | 0.6478 | 0.8602 | 0.9275 |
| No log | 7.2364 | 398 | 0.8513 | 0.6331 | 0.8513 | 0.9226 |
| No log | 7.2727 | 400 | 0.8563 | 0.6470 | 0.8563 | 0.9253 |
| No log | 7.3091 | 402 | 0.8524 | 0.6432 | 0.8524 | 0.9233 |
| No log | 7.3455 | 404 | 0.8512 | 0.6479 | 0.8512 | 0.9226 |
| No log | 7.3818 | 406 | 0.8477 | 0.6575 | 0.8477 | 0.9207 |
| No log | 7.4182 | 408 | 0.8383 | 0.6971 | 0.8383 | 0.9156 |
| No log | 7.4545 | 410 | 0.8310 | 0.7146 | 0.8310 | 0.9116 |
| No log | 7.4909 | 412 | 0.8178 | 0.7146 | 0.8178 | 0.9043 |
| No log | 7.5273 | 414 | 0.8249 | 0.7146 | 0.8249 | 0.9083 |
| No log | 7.5636 | 416 | 0.8516 | 0.7087 | 0.8516 | 0.9228 |
| No log | 7.6 | 418 | 0.8596 | 0.6839 | 0.8596 | 0.9272 |
| No log | 7.6364 | 420 | 0.8590 | 0.6861 | 0.8590 | 0.9268 |
| No log | 7.6727 | 422 | 0.8339 | 0.7013 | 0.8339 | 0.9132 |
| No log | 7.7091 | 424 | 0.8023 | 0.7020 | 0.8023 | 0.8957 |
| No log | 7.7455 | 426 | 0.7822 | 0.7104 | 0.7822 | 0.8844 |
| No log | 7.7818 | 428 | 0.7656 | 0.7133 | 0.7656 | 0.8750 |
| No log | 7.8182 | 430 | 0.7666 | 0.7037 | 0.7666 | 0.8756 |
| No log | 7.8545 | 432 | 0.7794 | 0.6943 | 0.7794 | 0.8829 |
| No log | 7.8909 | 434 | 0.8035 | 0.6961 | 0.8035 | 0.8964 |
| No log | 7.9273 | 436 | 0.8148 | 0.6751 | 0.8148 | 0.9027 |
| No log | 7.9636 | 438 | 0.8293 | 0.6751 | 0.8293 | 0.9107 |
| No log | 8.0 | 440 | 0.8300 | 0.6714 | 0.8300 | 0.9110 |
| No log | 8.0364 | 442 | 0.8419 | 0.6767 | 0.8419 | 0.9175 |
| No log | 8.0727 | 444 | 0.8637 | 0.6597 | 0.8637 | 0.9294 |
| No log | 8.1091 | 446 | 0.8980 | 0.6426 | 0.8980 | 0.9476 |
| No log | 8.1455 | 448 | 0.9176 | 0.6411 | 0.9176 | 0.9579 |
| No log | 8.1818 | 450 | 0.9337 | 0.6179 | 0.9337 | 0.9663 |
| No log | 8.2182 | 452 | 0.9147 | 0.6411 | 0.9147 | 0.9564 |
| No log | 8.2545 | 454 | 0.9043 | 0.6392 | 0.9043 | 0.9510 |
| No log | 8.2909 | 456 | 0.8830 | 0.6527 | 0.8830 | 0.9397 |
| No log | 8.3273 | 458 | 0.8650 | 0.6571 | 0.8650 | 0.9301 |
| No log | 8.3636 | 460 | 0.8431 | 0.6818 | 0.8431 | 0.9182 |
| No log | 8.4 | 462 | 0.8311 | 0.6892 | 0.8311 | 0.9116 |
| No log | 8.4364 | 464 | 0.8185 | 0.7033 | 0.8185 | 0.9047 |
| No log | 8.4727 | 466 | 0.8273 | 0.6778 | 0.8273 | 0.9096 |
| No log | 8.5091 | 468 | 0.8274 | 0.6604 | 0.8274 | 0.9096 |
| No log | 8.5455 | 470 | 0.8260 | 0.6732 | 0.8260 | 0.9088 |
| No log | 8.5818 | 472 | 0.8228 | 0.6732 | 0.8228 | 0.9071 |
| No log | 8.6182 | 474 | 0.8224 | 0.6732 | 0.8224 | 0.9069 |
| No log | 8.6545 | 476 | 0.8182 | 0.6732 | 0.8182 | 0.9045 |
| No log | 8.6909 | 478 | 0.8153 | 0.6732 | 0.8153 | 0.9030 |
| No log | 8.7273 | 480 | 0.8000 | 0.7182 | 0.8000 | 0.8944 |
| No log | 8.7636 | 482 | 0.7983 | 0.7182 | 0.7983 | 0.8935 |
| No log | 8.8 | 484 | 0.7941 | 0.7182 | 0.7941 | 0.8911 |
| No log | 8.8364 | 486 | 0.7965 | 0.7182 | 0.7965 | 0.8925 |
| No log | 8.8727 | 488 | 0.8089 | 0.7102 | 0.8089 | 0.8994 |
| No log | 8.9091 | 490 | 0.8286 | 0.6961 | 0.8286 | 0.9103 |
| No log | 8.9455 | 492 | 0.8430 | 0.6695 | 0.8430 | 0.9182 |
| No log | 8.9818 | 494 | 0.8477 | 0.6695 | 0.8477 | 0.9207 |
| No log | 9.0182 | 496 | 0.8452 | 0.6695 | 0.8452 | 0.9194 |
| No log | 9.0545 | 498 | 0.8462 | 0.6695 | 0.8462 | 0.9199 |
| 0.3207 | 9.0909 | 500 | 0.8417 | 0.6818 | 0.8417 | 0.9174 |
| 0.3207 | 9.1273 | 502 | 0.8427 | 0.6818 | 0.8427 | 0.9180 |
| 0.3207 | 9.1636 | 504 | 0.8414 | 0.6818 | 0.8414 | 0.9173 |
| 0.3207 | 9.2 | 506 | 0.8416 | 0.6837 | 0.8416 | 0.9174 |
| 0.3207 | 9.2364 | 508 | 0.8358 | 0.6837 | 0.8358 | 0.9142 |
| 0.3207 | 9.2727 | 510 | 0.8288 | 0.6961 | 0.8288 | 0.9104 |
| 0.3207 | 9.3091 | 512 | 0.8159 | 0.6980 | 0.8159 | 0.9033 |
| 0.3207 | 9.3455 | 514 | 0.8074 | 0.7105 | 0.8074 | 0.8986 |
| 0.3207 | 9.3818 | 516 | 0.8024 | 0.7105 | 0.8024 | 0.8958 |
| 0.3207 | 9.4182 | 518 | 0.8059 | 0.7105 | 0.8059 | 0.8977 |
| 0.3207 | 9.4545 | 520 | 0.8122 | 0.7105 | 0.8122 | 0.9012 |
| 0.3207 | 9.4909 | 522 | 0.8173 | 0.6980 | 0.8173 | 0.9041 |
| 0.3207 | 9.5273 | 524 | 0.8241 | 0.6980 | 0.8241 | 0.9078 |
| 0.3207 | 9.5636 | 526 | 0.8315 | 0.6818 | 0.8315 | 0.9119 |
| 0.3207 | 9.6 | 528 | 0.8392 | 0.6818 | 0.8392 | 0.9161 |
| 0.3207 | 9.6364 | 530 | 0.8468 | 0.6818 | 0.8468 | 0.9202 |
| 0.3207 | 9.6727 | 532 | 0.8485 | 0.6818 | 0.8485 | 0.9211 |
| 0.3207 | 9.7091 | 534 | 0.8453 | 0.6818 | 0.8453 | 0.9194 |
| 0.3207 | 9.7455 | 536 | 0.8422 | 0.6818 | 0.8422 | 0.9177 |
| 0.3207 | 9.7818 | 538 | 0.8383 | 0.6818 | 0.8383 | 0.9156 |
| 0.3207 | 9.8182 | 540 | 0.8361 | 0.6818 | 0.8361 | 0.9144 |
| 0.3207 | 9.8545 | 542 | 0.8353 | 0.6818 | 0.8353 | 0.9139 |
| 0.3207 | 9.8909 | 544 | 0.8341 | 0.6818 | 0.8341 | 0.9133 |
| 0.3207 | 9.9273 | 546 | 0.8337 | 0.6818 | 0.8337 | 0.9131 |
| 0.3207 | 9.9636 | 548 | 0.8332 | 0.6818 | 0.8332 | 0.9128 |
| 0.3207 | 10.0 | 550 | 0.8332 | 0.6818 | 0.8332 | 0.9128 |
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_run1_AugV5_k15_task5_organization
Base model
aubmindlab/bert-base-arabertv02