Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task2_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task2_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: 0.8929
- Qwk: 0.4282
- Mse: 0.8929
- Rmse: 0.9449
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 | 0.1538 | 2 | 4.6920 | 0.0010 | 4.6920 | 2.1661 |
| No log | 0.3077 | 4 | 2.8462 | 0.0193 | 2.8462 | 1.6871 |
| No log | 0.4615 | 6 | 1.8909 | -0.0017 | 1.8909 | 1.3751 |
| No log | 0.6154 | 8 | 1.3492 | 0.0182 | 1.3492 | 1.1616 |
| No log | 0.7692 | 10 | 1.2170 | 0.1110 | 1.2170 | 1.1032 |
| No log | 0.9231 | 12 | 1.1726 | 0.2124 | 1.1726 | 1.0829 |
| No log | 1.0769 | 14 | 1.2150 | 0.1448 | 1.2150 | 1.1023 |
| No log | 1.2308 | 16 | 1.0845 | 0.2628 | 1.0845 | 1.0414 |
| No log | 1.3846 | 18 | 1.0476 | 0.2731 | 1.0476 | 1.0235 |
| No log | 1.5385 | 20 | 1.2835 | 0.1604 | 1.2835 | 1.1329 |
| No log | 1.6923 | 22 | 1.5415 | 0.0622 | 1.5415 | 1.2416 |
| No log | 1.8462 | 24 | 1.3498 | 0.0838 | 1.3498 | 1.1618 |
| No log | 2.0 | 26 | 1.1142 | 0.2378 | 1.1142 | 1.0556 |
| No log | 2.1538 | 28 | 1.0834 | 0.2155 | 1.0834 | 1.0409 |
| No log | 2.3077 | 30 | 1.0866 | 0.2111 | 1.0866 | 1.0424 |
| No log | 2.4615 | 32 | 1.1247 | 0.2532 | 1.1247 | 1.0605 |
| No log | 2.6154 | 34 | 1.2070 | 0.2543 | 1.2070 | 1.0987 |
| No log | 2.7692 | 36 | 1.3373 | 0.0362 | 1.3373 | 1.1564 |
| No log | 2.9231 | 38 | 1.1854 | 0.2058 | 1.1854 | 1.0888 |
| No log | 3.0769 | 40 | 1.0153 | 0.3565 | 1.0153 | 1.0076 |
| No log | 3.2308 | 42 | 1.1237 | 0.3380 | 1.1237 | 1.0601 |
| No log | 3.3846 | 44 | 1.2077 | 0.3595 | 1.2077 | 1.0989 |
| No log | 3.5385 | 46 | 0.9756 | 0.3268 | 0.9756 | 0.9877 |
| No log | 3.6923 | 48 | 1.1367 | 0.2780 | 1.1367 | 1.0662 |
| No log | 3.8462 | 50 | 1.7020 | 0.1747 | 1.7020 | 1.3046 |
| No log | 4.0 | 52 | 1.7128 | 0.1387 | 1.7128 | 1.3087 |
| No log | 4.1538 | 54 | 1.4436 | 0.1395 | 1.4436 | 1.2015 |
| No log | 4.3077 | 56 | 1.0273 | 0.3173 | 1.0273 | 1.0136 |
| No log | 4.4615 | 58 | 0.8932 | 0.4541 | 0.8932 | 0.9451 |
| No log | 4.6154 | 60 | 0.9132 | 0.4439 | 0.9132 | 0.9556 |
| No log | 4.7692 | 62 | 1.0518 | 0.3330 | 1.0518 | 1.0256 |
| No log | 4.9231 | 64 | 1.0580 | 0.3313 | 1.0580 | 1.0286 |
| No log | 5.0769 | 66 | 0.8914 | 0.4760 | 0.8914 | 0.9441 |
| No log | 5.2308 | 68 | 0.8262 | 0.4612 | 0.8262 | 0.9089 |
| No log | 5.3846 | 70 | 0.8235 | 0.5137 | 0.8235 | 0.9074 |
| No log | 5.5385 | 72 | 0.8124 | 0.5365 | 0.8124 | 0.9013 |
| No log | 5.6923 | 74 | 0.8171 | 0.5086 | 0.8171 | 0.9039 |
| No log | 5.8462 | 76 | 0.8100 | 0.4930 | 0.8100 | 0.9000 |
| No log | 6.0 | 78 | 0.9398 | 0.4471 | 0.9398 | 0.9695 |
| No log | 6.1538 | 80 | 1.1644 | 0.2984 | 1.1644 | 1.0791 |
| No log | 6.3077 | 82 | 1.0137 | 0.4248 | 1.0137 | 1.0068 |
| No log | 6.4615 | 84 | 0.8215 | 0.4726 | 0.8215 | 0.9064 |
| No log | 6.6154 | 86 | 0.8516 | 0.4501 | 0.8516 | 0.9228 |
| No log | 6.7692 | 88 | 0.8808 | 0.4874 | 0.8808 | 0.9385 |
| No log | 6.9231 | 90 | 1.1157 | 0.4298 | 1.1157 | 1.0563 |
| No log | 7.0769 | 92 | 1.2176 | 0.3068 | 1.2176 | 1.1034 |
| No log | 7.2308 | 94 | 1.0113 | 0.3424 | 1.0113 | 1.0056 |
| No log | 7.3846 | 96 | 0.8207 | 0.4009 | 0.8207 | 0.9059 |
| No log | 7.5385 | 98 | 0.8317 | 0.4879 | 0.8317 | 0.9120 |
| No log | 7.6923 | 100 | 0.8739 | 0.4542 | 0.8739 | 0.9348 |
| No log | 7.8462 | 102 | 0.8180 | 0.5089 | 0.8180 | 0.9044 |
| No log | 8.0 | 104 | 0.8206 | 0.4847 | 0.8206 | 0.9059 |
| No log | 8.1538 | 106 | 0.8225 | 0.4724 | 0.8225 | 0.9069 |
| No log | 8.3077 | 108 | 0.8432 | 0.4325 | 0.8432 | 0.9183 |
| No log | 8.4615 | 110 | 0.8133 | 0.4966 | 0.8133 | 0.9018 |
| No log | 8.6154 | 112 | 0.8217 | 0.4777 | 0.8217 | 0.9065 |
| No log | 8.7692 | 114 | 0.8890 | 0.4948 | 0.8890 | 0.9429 |
| No log | 8.9231 | 116 | 0.9866 | 0.4755 | 0.9866 | 0.9933 |
| No log | 9.0769 | 118 | 0.8818 | 0.4948 | 0.8818 | 0.9390 |
| No log | 9.2308 | 120 | 0.8085 | 0.4835 | 0.8085 | 0.8991 |
| No log | 9.3846 | 122 | 1.0252 | 0.4422 | 1.0252 | 1.0125 |
| No log | 9.5385 | 124 | 1.0265 | 0.3744 | 1.0265 | 1.0132 |
| No log | 9.6923 | 126 | 0.8815 | 0.3840 | 0.8815 | 0.9389 |
| No log | 9.8462 | 128 | 0.9192 | 0.4093 | 0.9192 | 0.9587 |
| No log | 10.0 | 130 | 1.1302 | 0.3071 | 1.1302 | 1.0631 |
| No log | 10.1538 | 132 | 1.1708 | 0.3826 | 1.1708 | 1.0820 |
| No log | 10.3077 | 134 | 0.9832 | 0.4226 | 0.9832 | 0.9916 |
| No log | 10.4615 | 136 | 0.8235 | 0.4871 | 0.8235 | 0.9074 |
| No log | 10.6154 | 138 | 0.9147 | 0.4898 | 0.9147 | 0.9564 |
| No log | 10.7692 | 140 | 0.9099 | 0.4458 | 0.9098 | 0.9539 |
| No log | 10.9231 | 142 | 0.8082 | 0.4671 | 0.8082 | 0.8990 |
| No log | 11.0769 | 144 | 0.9351 | 0.4563 | 0.9351 | 0.9670 |
| No log | 11.2308 | 146 | 1.1605 | 0.4152 | 1.1605 | 1.0772 |
| No log | 11.3846 | 148 | 1.0609 | 0.4632 | 1.0609 | 1.0300 |
| No log | 11.5385 | 150 | 0.8300 | 0.4641 | 0.8300 | 0.9111 |
| No log | 11.6923 | 152 | 0.8093 | 0.3854 | 0.8093 | 0.8996 |
| No log | 11.8462 | 154 | 0.9048 | 0.4765 | 0.9048 | 0.9512 |
| No log | 12.0 | 156 | 0.8693 | 0.4295 | 0.8693 | 0.9323 |
| No log | 12.1538 | 158 | 0.8110 | 0.5358 | 0.8110 | 0.9006 |
| No log | 12.3077 | 160 | 0.8639 | 0.4946 | 0.8639 | 0.9295 |
| No log | 12.4615 | 162 | 0.8243 | 0.5058 | 0.8243 | 0.9079 |
| No log | 12.6154 | 164 | 0.8126 | 0.4359 | 0.8126 | 0.9014 |
| No log | 12.7692 | 166 | 0.8143 | 0.4328 | 0.8143 | 0.9024 |
| No log | 12.9231 | 168 | 0.8400 | 0.4648 | 0.8400 | 0.9165 |
| No log | 13.0769 | 170 | 0.8562 | 0.4648 | 0.8562 | 0.9253 |
| No log | 13.2308 | 172 | 0.8137 | 0.4579 | 0.8137 | 0.9020 |
| No log | 13.3846 | 174 | 0.8190 | 0.4488 | 0.8190 | 0.9050 |
| No log | 13.5385 | 176 | 0.8326 | 0.4488 | 0.8326 | 0.9125 |
| No log | 13.6923 | 178 | 0.9086 | 0.5353 | 0.9086 | 0.9532 |
| No log | 13.8462 | 180 | 0.9825 | 0.4694 | 0.9825 | 0.9912 |
| No log | 14.0 | 182 | 1.0094 | 0.4694 | 1.0094 | 1.0047 |
| No log | 14.1538 | 184 | 0.9493 | 0.5353 | 0.9493 | 0.9743 |
| No log | 14.3077 | 186 | 0.8462 | 0.4397 | 0.8462 | 0.9199 |
| No log | 14.4615 | 188 | 0.8275 | 0.4965 | 0.8275 | 0.9097 |
| No log | 14.6154 | 190 | 0.8286 | 0.4757 | 0.8286 | 0.9103 |
| No log | 14.7692 | 192 | 0.8811 | 0.5154 | 0.8811 | 0.9387 |
| No log | 14.9231 | 194 | 0.9633 | 0.4394 | 0.9633 | 0.9815 |
| No log | 15.0769 | 196 | 0.9611 | 0.4598 | 0.9611 | 0.9803 |
| No log | 15.2308 | 198 | 0.8980 | 0.5164 | 0.8980 | 0.9476 |
| No log | 15.3846 | 200 | 0.8160 | 0.5041 | 0.8160 | 0.9033 |
| No log | 15.5385 | 202 | 0.8123 | 0.5477 | 0.8123 | 0.9013 |
| No log | 15.6923 | 204 | 0.8210 | 0.5455 | 0.8210 | 0.9061 |
| No log | 15.8462 | 206 | 0.8554 | 0.5730 | 0.8554 | 0.9249 |
| No log | 16.0 | 208 | 0.8745 | 0.5111 | 0.8745 | 0.9352 |
| No log | 16.1538 | 210 | 0.8515 | 0.4733 | 0.8515 | 0.9228 |
| No log | 16.3077 | 212 | 0.8334 | 0.4526 | 0.8334 | 0.9129 |
| No log | 16.4615 | 214 | 0.8040 | 0.4893 | 0.8040 | 0.8967 |
| No log | 16.6154 | 216 | 0.7976 | 0.4373 | 0.7976 | 0.8931 |
| No log | 16.7692 | 218 | 0.8093 | 0.5077 | 0.8093 | 0.8996 |
| No log | 16.9231 | 220 | 0.7636 | 0.5716 | 0.7636 | 0.8738 |
| No log | 17.0769 | 222 | 0.7589 | 0.5766 | 0.7589 | 0.8711 |
| No log | 17.2308 | 224 | 0.7613 | 0.5528 | 0.7613 | 0.8725 |
| No log | 17.3846 | 226 | 0.7646 | 0.5716 | 0.7646 | 0.8744 |
| No log | 17.5385 | 228 | 0.7789 | 0.5474 | 0.7789 | 0.8826 |
| No log | 17.6923 | 230 | 0.7980 | 0.4865 | 0.7980 | 0.8933 |
| No log | 17.8462 | 232 | 0.8109 | 0.4734 | 0.8109 | 0.9005 |
| No log | 18.0 | 234 | 0.8447 | 0.4912 | 0.8447 | 0.9191 |
| No log | 18.1538 | 236 | 0.9141 | 0.4532 | 0.9141 | 0.9561 |
| No log | 18.3077 | 238 | 0.9541 | 0.4513 | 0.9541 | 0.9768 |
| No log | 18.4615 | 240 | 0.8996 | 0.4777 | 0.8996 | 0.9484 |
| No log | 18.6154 | 242 | 0.8265 | 0.4734 | 0.8265 | 0.9091 |
| No log | 18.7692 | 244 | 0.8114 | 0.5178 | 0.8114 | 0.9008 |
| No log | 18.9231 | 246 | 0.8119 | 0.5056 | 0.8119 | 0.9010 |
| No log | 19.0769 | 248 | 0.8476 | 0.4476 | 0.8476 | 0.9207 |
| No log | 19.2308 | 250 | 1.0106 | 0.3794 | 1.0106 | 1.0053 |
| No log | 19.3846 | 252 | 1.0543 | 0.3503 | 1.0543 | 1.0268 |
| No log | 19.5385 | 254 | 0.9720 | 0.3777 | 0.9720 | 0.9859 |
| No log | 19.6923 | 256 | 0.8454 | 0.4377 | 0.8454 | 0.9195 |
| No log | 19.8462 | 258 | 0.8030 | 0.5251 | 0.8030 | 0.8961 |
| No log | 20.0 | 260 | 0.8069 | 0.5961 | 0.8069 | 0.8983 |
| No log | 20.1538 | 262 | 0.8194 | 0.4953 | 0.8194 | 0.9052 |
| No log | 20.3077 | 264 | 0.9736 | 0.5360 | 0.9736 | 0.9867 |
| No log | 20.4615 | 266 | 1.1339 | 0.4215 | 1.1339 | 1.0648 |
| No log | 20.6154 | 268 | 1.1179 | 0.4022 | 1.1179 | 1.0573 |
| No log | 20.7692 | 270 | 0.9825 | 0.4166 | 0.9825 | 0.9912 |
| No log | 20.9231 | 272 | 0.8563 | 0.4584 | 0.8563 | 0.9254 |
| No log | 21.0769 | 274 | 0.8270 | 0.3998 | 0.8270 | 0.9094 |
| No log | 21.2308 | 276 | 0.8287 | 0.4482 | 0.8287 | 0.9104 |
| No log | 21.3846 | 278 | 0.8719 | 0.5030 | 0.8719 | 0.9338 |
| No log | 21.5385 | 280 | 0.8936 | 0.5014 | 0.8936 | 0.9453 |
| No log | 21.6923 | 282 | 0.9047 | 0.4553 | 0.9047 | 0.9512 |
| No log | 21.8462 | 284 | 0.8662 | 0.4983 | 0.8662 | 0.9307 |
| No log | 22.0 | 286 | 0.8136 | 0.4852 | 0.8136 | 0.9020 |
| No log | 22.1538 | 288 | 0.8224 | 0.5275 | 0.8224 | 0.9068 |
| No log | 22.3077 | 290 | 0.9177 | 0.4745 | 0.9177 | 0.9580 |
| No log | 22.4615 | 292 | 0.9125 | 0.4961 | 0.9125 | 0.9552 |
| No log | 22.6154 | 294 | 0.8201 | 0.6035 | 0.8201 | 0.9056 |
| No log | 22.7692 | 296 | 0.7927 | 0.5085 | 0.7927 | 0.8903 |
| No log | 22.9231 | 298 | 0.8062 | 0.4119 | 0.8062 | 0.8979 |
| No log | 23.0769 | 300 | 0.8315 | 0.4119 | 0.8315 | 0.9119 |
| No log | 23.2308 | 302 | 0.8298 | 0.3873 | 0.8298 | 0.9109 |
| No log | 23.3846 | 304 | 0.8106 | 0.4258 | 0.8106 | 0.9003 |
| No log | 23.5385 | 306 | 0.8098 | 0.5213 | 0.8098 | 0.8999 |
| No log | 23.6923 | 308 | 0.8510 | 0.5161 | 0.8510 | 0.9225 |
| No log | 23.8462 | 310 | 0.8759 | 0.4916 | 0.8759 | 0.9359 |
| No log | 24.0 | 312 | 0.8689 | 0.5161 | 0.8689 | 0.9322 |
| No log | 24.1538 | 314 | 0.8627 | 0.4498 | 0.8627 | 0.9288 |
| No log | 24.3077 | 316 | 0.8574 | 0.4406 | 0.8574 | 0.9260 |
| No log | 24.4615 | 318 | 0.8239 | 0.4635 | 0.8239 | 0.9077 |
| No log | 24.6154 | 320 | 0.8018 | 0.4079 | 0.8018 | 0.8954 |
| No log | 24.7692 | 322 | 0.8322 | 0.4700 | 0.8322 | 0.9122 |
| No log | 24.9231 | 324 | 0.8963 | 0.5111 | 0.8963 | 0.9467 |
| No log | 25.0769 | 326 | 0.9550 | 0.4127 | 0.9550 | 0.9772 |
| No log | 25.2308 | 328 | 0.9459 | 0.3891 | 0.9459 | 0.9726 |
| No log | 25.3846 | 330 | 0.9240 | 0.3463 | 0.9240 | 0.9612 |
| No log | 25.5385 | 332 | 0.8968 | 0.4243 | 0.8968 | 0.9470 |
| No log | 25.6923 | 334 | 0.8641 | 0.3674 | 0.8641 | 0.9296 |
| No log | 25.8462 | 336 | 0.8336 | 0.4455 | 0.8336 | 0.9130 |
| No log | 26.0 | 338 | 0.8172 | 0.4620 | 0.8172 | 0.9040 |
| No log | 26.1538 | 340 | 0.8263 | 0.4700 | 0.8263 | 0.9090 |
| No log | 26.3077 | 342 | 0.8525 | 0.4799 | 0.8525 | 0.9233 |
| No log | 26.4615 | 344 | 0.8626 | 0.4799 | 0.8626 | 0.9287 |
| No log | 26.6154 | 346 | 0.8558 | 0.4700 | 0.8558 | 0.9251 |
| No log | 26.7692 | 348 | 0.8309 | 0.4948 | 0.8309 | 0.9115 |
| No log | 26.9231 | 350 | 0.8053 | 0.4637 | 0.8053 | 0.8974 |
| No log | 27.0769 | 352 | 0.8062 | 0.4540 | 0.8062 | 0.8979 |
| No log | 27.2308 | 354 | 0.8128 | 0.4948 | 0.8128 | 0.9015 |
| No log | 27.3846 | 356 | 0.8389 | 0.4700 | 0.8389 | 0.9159 |
| No log | 27.5385 | 358 | 0.8422 | 0.4916 | 0.8422 | 0.9177 |
| No log | 27.6923 | 360 | 0.8371 | 0.4916 | 0.8371 | 0.9149 |
| No log | 27.8462 | 362 | 0.8141 | 0.5154 | 0.8141 | 0.9023 |
| No log | 28.0 | 364 | 0.8156 | 0.5167 | 0.8156 | 0.9031 |
| No log | 28.1538 | 366 | 0.8278 | 0.5132 | 0.8278 | 0.9098 |
| No log | 28.3077 | 368 | 0.8069 | 0.5675 | 0.8069 | 0.8983 |
| No log | 28.4615 | 370 | 0.8560 | 0.4916 | 0.8560 | 0.9252 |
| No log | 28.6154 | 372 | 0.9683 | 0.3941 | 0.9683 | 0.9840 |
| No log | 28.7692 | 374 | 1.0042 | 0.3941 | 1.0042 | 1.0021 |
| No log | 28.9231 | 376 | 0.9767 | 0.4297 | 0.9767 | 0.9883 |
| No log | 29.0769 | 378 | 0.9324 | 0.4722 | 0.9324 | 0.9656 |
| No log | 29.2308 | 380 | 0.9093 | 0.4077 | 0.9093 | 0.9536 |
| No log | 29.3846 | 382 | 0.8833 | 0.4397 | 0.8833 | 0.9399 |
| No log | 29.5385 | 384 | 0.8434 | 0.4393 | 0.8434 | 0.9183 |
| No log | 29.6923 | 386 | 0.8026 | 0.5308 | 0.8026 | 0.8959 |
| No log | 29.8462 | 388 | 0.7799 | 0.4965 | 0.7799 | 0.8831 |
| No log | 30.0 | 390 | 0.8026 | 0.4796 | 0.8026 | 0.8959 |
| No log | 30.1538 | 392 | 0.8256 | 0.4648 | 0.8256 | 0.9086 |
| No log | 30.3077 | 394 | 0.8411 | 0.4648 | 0.8411 | 0.9171 |
| No log | 30.4615 | 396 | 0.8334 | 0.5362 | 0.8334 | 0.9129 |
| No log | 30.6154 | 398 | 0.8225 | 0.4243 | 0.8225 | 0.9069 |
| No log | 30.7692 | 400 | 0.8225 | 0.3779 | 0.8225 | 0.9069 |
| No log | 30.9231 | 402 | 0.8212 | 0.4077 | 0.8212 | 0.9062 |
| No log | 31.0769 | 404 | 0.8106 | 0.3896 | 0.8106 | 0.9003 |
| No log | 31.2308 | 406 | 0.8002 | 0.4181 | 0.8002 | 0.8946 |
| No log | 31.3846 | 408 | 0.7910 | 0.4662 | 0.7910 | 0.8894 |
| No log | 31.5385 | 410 | 0.7852 | 0.4789 | 0.7852 | 0.8861 |
| No log | 31.6923 | 412 | 0.7853 | 0.4871 | 0.7853 | 0.8862 |
| No log | 31.8462 | 414 | 0.7872 | 0.4871 | 0.7872 | 0.8873 |
| No log | 32.0 | 416 | 0.8106 | 0.4799 | 0.8106 | 0.9003 |
| No log | 32.1538 | 418 | 0.8628 | 0.5014 | 0.8628 | 0.9289 |
| No log | 32.3077 | 420 | 0.8597 | 0.4799 | 0.8597 | 0.9272 |
| No log | 32.4615 | 422 | 0.8362 | 0.3994 | 0.8362 | 0.9144 |
| No log | 32.6154 | 424 | 0.8479 | 0.4498 | 0.8479 | 0.9208 |
| No log | 32.7692 | 426 | 0.8748 | 0.4469 | 0.8748 | 0.9353 |
| No log | 32.9231 | 428 | 0.8589 | 0.4469 | 0.8589 | 0.9268 |
| No log | 33.0769 | 430 | 0.8118 | 0.4847 | 0.8118 | 0.9010 |
| No log | 33.2308 | 432 | 0.8139 | 0.4865 | 0.8139 | 0.9022 |
| No log | 33.3846 | 434 | 0.8342 | 0.4946 | 0.8342 | 0.9133 |
| No log | 33.5385 | 436 | 0.8454 | 0.4611 | 0.8454 | 0.9194 |
| No log | 33.6923 | 438 | 0.8440 | 0.3896 | 0.8440 | 0.9187 |
| No log | 33.8462 | 440 | 0.8378 | 0.3896 | 0.8378 | 0.9153 |
| No log | 34.0 | 442 | 0.8329 | 0.3896 | 0.8329 | 0.9126 |
| No log | 34.1538 | 444 | 0.8205 | 0.4548 | 0.8205 | 0.9058 |
| No log | 34.3077 | 446 | 0.8073 | 0.4609 | 0.8073 | 0.8985 |
| No log | 34.4615 | 448 | 0.8200 | 0.4848 | 0.8200 | 0.9056 |
| No log | 34.6154 | 450 | 0.8381 | 0.5102 | 0.8381 | 0.9155 |
| No log | 34.7692 | 452 | 0.8546 | 0.5037 | 0.8546 | 0.9245 |
| No log | 34.9231 | 454 | 0.8510 | 0.5133 | 0.8510 | 0.9225 |
| No log | 35.0769 | 456 | 0.8807 | 0.4829 | 0.8807 | 0.9384 |
| No log | 35.2308 | 458 | 0.8673 | 0.4676 | 0.8673 | 0.9313 |
| No log | 35.3846 | 460 | 0.8412 | 0.4476 | 0.8412 | 0.9172 |
| No log | 35.5385 | 462 | 0.8313 | 0.3938 | 0.8313 | 0.9117 |
| No log | 35.6923 | 464 | 0.8492 | 0.4381 | 0.8492 | 0.9215 |
| No log | 35.8462 | 466 | 0.8753 | 0.4824 | 0.8753 | 0.9356 |
| No log | 36.0 | 468 | 0.8898 | 0.4928 | 0.8898 | 0.9433 |
| No log | 36.1538 | 470 | 0.8956 | 0.4943 | 0.8956 | 0.9464 |
| No log | 36.3077 | 472 | 0.8721 | 0.3734 | 0.8721 | 0.9339 |
| No log | 36.4615 | 474 | 0.8545 | 0.4180 | 0.8545 | 0.9244 |
| No log | 36.6154 | 476 | 0.8406 | 0.4491 | 0.8406 | 0.9168 |
| No log | 36.7692 | 478 | 0.8385 | 0.5024 | 0.8385 | 0.9157 |
| No log | 36.9231 | 480 | 0.8323 | 0.5299 | 0.8323 | 0.9123 |
| No log | 37.0769 | 482 | 0.8284 | 0.4902 | 0.8284 | 0.9102 |
| No log | 37.2308 | 484 | 0.8423 | 0.4521 | 0.8423 | 0.9178 |
| No log | 37.3846 | 486 | 0.8520 | 0.4612 | 0.8520 | 0.9231 |
| No log | 37.5385 | 488 | 0.8502 | 0.4313 | 0.8502 | 0.9220 |
| No log | 37.6923 | 490 | 0.8618 | 0.4220 | 0.8618 | 0.9283 |
| No log | 37.8462 | 492 | 0.8700 | 0.4220 | 0.8700 | 0.9327 |
| No log | 38.0 | 494 | 0.8838 | 0.4036 | 0.8838 | 0.9401 |
| No log | 38.1538 | 496 | 0.9050 | 0.4450 | 0.9050 | 0.9513 |
| No log | 38.3077 | 498 | 0.9382 | 0.4302 | 0.9382 | 0.9686 |
| 0.2769 | 38.4615 | 500 | 0.9272 | 0.4532 | 0.9272 | 0.9629 |
| 0.2769 | 38.6154 | 502 | 0.8735 | 0.4898 | 0.8735 | 0.9346 |
| 0.2769 | 38.7692 | 504 | 0.8368 | 0.4996 | 0.8368 | 0.9148 |
| 0.2769 | 38.9231 | 506 | 0.8307 | 0.5178 | 0.8307 | 0.9114 |
| 0.2769 | 39.0769 | 508 | 0.8380 | 0.4489 | 0.8380 | 0.9154 |
| 0.2769 | 39.2308 | 510 | 0.8343 | 0.4575 | 0.8343 | 0.9134 |
| 0.2769 | 39.3846 | 512 | 0.8257 | 0.5364 | 0.8257 | 0.9087 |
| 0.2769 | 39.5385 | 514 | 0.8275 | 0.5119 | 0.8275 | 0.9096 |
| 0.2769 | 39.6923 | 516 | 0.8358 | 0.5184 | 0.8358 | 0.9142 |
| 0.2769 | 39.8462 | 518 | 0.8509 | 0.4239 | 0.8509 | 0.9225 |
| 0.2769 | 40.0 | 520 | 0.8599 | 0.4700 | 0.8599 | 0.9273 |
| 0.2769 | 40.1538 | 522 | 0.8538 | 0.4700 | 0.8538 | 0.9240 |
| 0.2769 | 40.3077 | 524 | 0.8440 | 0.4002 | 0.8440 | 0.9187 |
| 0.2769 | 40.4615 | 526 | 0.8427 | 0.4454 | 0.8427 | 0.9180 |
| 0.2769 | 40.6154 | 528 | 0.8487 | 0.4607 | 0.8487 | 0.9213 |
| 0.2769 | 40.7692 | 530 | 0.8393 | 0.4607 | 0.8393 | 0.9161 |
| 0.2769 | 40.9231 | 532 | 0.8233 | 0.4812 | 0.8233 | 0.9073 |
| 0.2769 | 41.0769 | 534 | 0.8154 | 0.5299 | 0.8154 | 0.9030 |
| 0.2769 | 41.2308 | 536 | 0.8135 | 0.4789 | 0.8135 | 0.9019 |
| 0.2769 | 41.3846 | 538 | 0.8208 | 0.4401 | 0.8208 | 0.9060 |
| 0.2769 | 41.5385 | 540 | 0.8259 | 0.4789 | 0.8259 | 0.9088 |
| 0.2769 | 41.6923 | 542 | 0.8409 | 0.4885 | 0.8409 | 0.9170 |
| 0.2769 | 41.8462 | 544 | 0.8750 | 0.3942 | 0.8750 | 0.9354 |
| 0.2769 | 42.0 | 546 | 0.9166 | 0.4214 | 0.9166 | 0.9574 |
| 0.2769 | 42.1538 | 548 | 0.9240 | 0.4115 | 0.9240 | 0.9613 |
| 0.2769 | 42.3077 | 550 | 0.8970 | 0.3846 | 0.8970 | 0.9471 |
| 0.2769 | 42.4615 | 552 | 0.8687 | 0.5009 | 0.8687 | 0.9321 |
| 0.2769 | 42.6154 | 554 | 0.8653 | 0.4450 | 0.8653 | 0.9302 |
| 0.2769 | 42.7692 | 556 | 0.8843 | 0.4241 | 0.8843 | 0.9404 |
| 0.2769 | 42.9231 | 558 | 0.8961 | 0.4434 | 0.8961 | 0.9466 |
| 0.2769 | 43.0769 | 560 | 0.8974 | 0.3854 | 0.8974 | 0.9473 |
| 0.2769 | 43.2308 | 562 | 0.8929 | 0.4282 | 0.8929 | 0.9449 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- -
Model tree for MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task2_organization
Base model
aubmindlab/bert-base-arabertv02