Instructions to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run3_AugV5_k9_task3_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run3_AugV5_k9_task3_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run3_AugV5_k9_task3_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run3_AugV5_k9_task3_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run3_AugV5_k9_task3_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits5_FineTuningAraBERT_run3_AugV5_k9_task3_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: 0.5012
- Qwk: 0.4350
- Mse: 0.5012
- Rmse: 0.7080
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 | 0.0370 | 2 | 3.2931 | 0.0026 | 3.2931 | 1.8147 |
| No log | 0.0741 | 4 | 1.7810 | 0.0168 | 1.7810 | 1.3345 |
| No log | 0.1111 | 6 | 1.2294 | 0.0 | 1.2294 | 1.1088 |
| No log | 0.1481 | 8 | 1.2086 | 0.0 | 1.2086 | 1.0993 |
| No log | 0.1852 | 10 | 1.2579 | 0.0 | 1.2579 | 1.1216 |
| No log | 0.2222 | 12 | 1.7949 | 0.0255 | 1.7949 | 1.3397 |
| No log | 0.2593 | 14 | 1.7416 | 0.0 | 1.7416 | 1.3197 |
| No log | 0.2963 | 16 | 1.5126 | 0.0 | 1.5126 | 1.2299 |
| No log | 0.3333 | 18 | 1.2193 | 0.0 | 1.2193 | 1.1042 |
| No log | 0.3704 | 20 | 1.2009 | 0.0 | 1.2009 | 1.0958 |
| No log | 0.4074 | 22 | 1.0378 | 0.0 | 1.0378 | 1.0187 |
| No log | 0.4444 | 24 | 1.0165 | 0.0038 | 1.0165 | 1.0082 |
| No log | 0.4815 | 26 | 1.1053 | -0.0159 | 1.1053 | 1.0513 |
| No log | 0.5185 | 28 | 0.9916 | 0.0947 | 0.9916 | 0.9958 |
| No log | 0.5556 | 30 | 0.8094 | 0.3831 | 0.8094 | 0.8996 |
| No log | 0.5926 | 32 | 0.7136 | 0.3939 | 0.7136 | 0.8447 |
| No log | 0.6296 | 34 | 0.8758 | 0.1392 | 0.8758 | 0.9359 |
| No log | 0.6667 | 36 | 1.0693 | 0.0 | 1.0693 | 1.0340 |
| No log | 0.7037 | 38 | 1.1541 | 0.0 | 1.1541 | 1.0743 |
| No log | 0.7407 | 40 | 1.0248 | 0.0 | 1.0248 | 1.0123 |
| No log | 0.7778 | 42 | 0.9429 | 0.0345 | 0.9429 | 0.9710 |
| No log | 0.8148 | 44 | 0.7830 | 0.2333 | 0.7830 | 0.8849 |
| No log | 0.8519 | 46 | 0.7473 | 0.2281 | 0.7473 | 0.8644 |
| No log | 0.8889 | 48 | 0.8663 | 0.1276 | 0.8663 | 0.9308 |
| No log | 0.9259 | 50 | 0.8885 | 0.1333 | 0.8885 | 0.9426 |
| No log | 0.9630 | 52 | 1.2606 | 0.0632 | 1.2606 | 1.1228 |
| No log | 1.0 | 54 | 1.3286 | 0.0614 | 1.3286 | 1.1526 |
| No log | 1.0370 | 56 | 0.9895 | 0.1235 | 0.9895 | 0.9947 |
| No log | 1.0741 | 58 | 0.7747 | 0.2775 | 0.7747 | 0.8802 |
| No log | 1.1111 | 60 | 0.8471 | 0.2696 | 0.8471 | 0.9204 |
| No log | 1.1481 | 62 | 0.6192 | 0.3208 | 0.6192 | 0.7869 |
| No log | 1.1852 | 64 | 0.8220 | 0.3220 | 0.8220 | 0.9067 |
| No log | 1.2222 | 66 | 1.4131 | 0.1351 | 1.4131 | 1.1887 |
| No log | 1.2593 | 68 | 1.5084 | 0.0567 | 1.5084 | 1.2282 |
| No log | 1.2963 | 70 | 1.2552 | 0.0949 | 1.2552 | 1.1203 |
| No log | 1.3333 | 72 | 1.0078 | 0.2191 | 1.0078 | 1.0039 |
| No log | 1.3704 | 74 | 0.8760 | 0.2137 | 0.8760 | 0.9359 |
| No log | 1.4074 | 76 | 0.6232 | 0.3118 | 0.6232 | 0.7894 |
| No log | 1.4444 | 78 | 0.6311 | 0.2593 | 0.6311 | 0.7944 |
| No log | 1.4815 | 80 | 0.8801 | 0.1392 | 0.8801 | 0.9381 |
| No log | 1.5185 | 82 | 0.8118 | 0.2208 | 0.8118 | 0.9010 |
| No log | 1.5556 | 84 | 0.5155 | 0.1206 | 0.5155 | 0.7180 |
| No log | 1.5926 | 86 | 0.5261 | -0.0081 | 0.5261 | 0.7253 |
| No log | 1.6296 | 88 | 0.5450 | 0.2000 | 0.5450 | 0.7383 |
| No log | 1.6667 | 90 | 0.8253 | 0.1416 | 0.8253 | 0.9085 |
| No log | 1.7037 | 92 | 0.9311 | 0.2000 | 0.9311 | 0.9649 |
| No log | 1.7407 | 94 | 1.0692 | 0.1181 | 1.0692 | 1.0340 |
| No log | 1.7778 | 96 | 0.7204 | 0.2239 | 0.7204 | 0.8488 |
| No log | 1.8148 | 98 | 0.5431 | 0.1895 | 0.5431 | 0.7370 |
| No log | 1.8519 | 100 | 0.5669 | 0.3103 | 0.5669 | 0.7529 |
| No log | 1.8889 | 102 | 0.9492 | 0.1347 | 0.9492 | 0.9743 |
| No log | 1.9259 | 104 | 0.9479 | 0.1290 | 0.9479 | 0.9736 |
| No log | 1.9630 | 106 | 0.5643 | 0.3103 | 0.5643 | 0.7512 |
| No log | 2.0 | 108 | 0.4484 | 0.3826 | 0.4484 | 0.6696 |
| No log | 2.0370 | 110 | 0.4899 | 0.3939 | 0.4899 | 0.7000 |
| No log | 2.0741 | 112 | 0.4898 | 0.4350 | 0.4898 | 0.6999 |
| No log | 2.1111 | 114 | 0.6354 | 0.2762 | 0.6354 | 0.7971 |
| No log | 2.1481 | 116 | 0.6102 | 0.2746 | 0.6102 | 0.7812 |
| No log | 2.1852 | 118 | 0.5762 | 0.1628 | 0.5762 | 0.7591 |
| No log | 2.2222 | 120 | 0.5529 | 0.2109 | 0.5529 | 0.7436 |
| No log | 2.2593 | 122 | 0.5151 | 0.4620 | 0.5151 | 0.7177 |
| No log | 2.2963 | 124 | 0.8937 | 0.1803 | 0.8937 | 0.9453 |
| No log | 2.3333 | 126 | 1.2535 | 0.1399 | 1.2535 | 1.1196 |
| No log | 2.3704 | 128 | 0.7751 | 0.1691 | 0.7751 | 0.8804 |
| No log | 2.4074 | 130 | 0.5185 | 0.4483 | 0.5185 | 0.7201 |
| No log | 2.4444 | 132 | 0.8170 | 0.1644 | 0.8170 | 0.9039 |
| No log | 2.4815 | 134 | 0.7728 | 0.2287 | 0.7728 | 0.8791 |
| No log | 2.5185 | 136 | 0.5167 | 0.4157 | 0.5167 | 0.7188 |
| No log | 2.5556 | 138 | 0.8932 | 0.2065 | 0.8932 | 0.9451 |
| No log | 2.5926 | 140 | 0.9523 | 0.2121 | 0.9523 | 0.9759 |
| No log | 2.6296 | 142 | 0.5763 | 0.3398 | 0.5763 | 0.7592 |
| No log | 2.6667 | 144 | 0.5403 | 0.5025 | 0.5403 | 0.7350 |
| No log | 2.7037 | 146 | 0.7852 | 0.2829 | 0.7852 | 0.8861 |
| No log | 2.7407 | 148 | 0.6384 | 0.3559 | 0.6384 | 0.7990 |
| No log | 2.7778 | 150 | 0.4647 | 0.4455 | 0.4647 | 0.6817 |
| No log | 2.8148 | 152 | 0.5190 | 0.48 | 0.5190 | 0.7204 |
| No log | 2.8519 | 154 | 0.6585 | 0.3939 | 0.6585 | 0.8115 |
| No log | 2.8889 | 156 | 0.5063 | 0.4526 | 0.5063 | 0.7115 |
| No log | 2.9259 | 158 | 0.4326 | 0.4743 | 0.4326 | 0.6577 |
| No log | 2.9630 | 160 | 0.4730 | 0.52 | 0.4730 | 0.6877 |
| No log | 3.0 | 162 | 0.4395 | 0.4762 | 0.4395 | 0.6629 |
| No log | 3.0370 | 164 | 0.4178 | 0.4350 | 0.4178 | 0.6464 |
| No log | 3.0741 | 166 | 0.6388 | 0.3585 | 0.6388 | 0.7993 |
| No log | 3.1111 | 168 | 1.0100 | 0.2727 | 1.0100 | 1.0050 |
| No log | 3.1481 | 170 | 0.8639 | 0.2409 | 0.8639 | 0.9295 |
| No log | 3.1852 | 172 | 0.5100 | 0.4400 | 0.5100 | 0.7141 |
| No log | 3.2222 | 174 | 0.4581 | 0.4526 | 0.4581 | 0.6768 |
| No log | 3.2593 | 176 | 0.4872 | 0.5183 | 0.4872 | 0.6980 |
| No log | 3.2963 | 178 | 0.4853 | 0.4652 | 0.4853 | 0.6966 |
| No log | 3.3333 | 180 | 0.4788 | 0.4652 | 0.4788 | 0.6920 |
| No log | 3.3704 | 182 | 0.5403 | 0.4171 | 0.5403 | 0.7351 |
| No log | 3.4074 | 184 | 0.5566 | 0.4171 | 0.5566 | 0.7460 |
| No log | 3.4444 | 186 | 0.5051 | 0.3684 | 0.5051 | 0.7107 |
| No log | 3.4815 | 188 | 0.5089 | 0.4051 | 0.5089 | 0.7133 |
| No log | 3.5185 | 190 | 0.6481 | 0.3831 | 0.6481 | 0.8050 |
| No log | 3.5556 | 192 | 0.7214 | 0.3607 | 0.7214 | 0.8493 |
| No log | 3.5926 | 194 | 0.5818 | 0.3231 | 0.5818 | 0.7628 |
| No log | 3.6296 | 196 | 0.5181 | 0.4475 | 0.5181 | 0.7198 |
| No log | 3.6667 | 198 | 0.5226 | 0.4043 | 0.5226 | 0.7229 |
| No log | 3.7037 | 200 | 0.5334 | 0.4043 | 0.5334 | 0.7304 |
| No log | 3.7407 | 202 | 0.5225 | 0.4091 | 0.5225 | 0.7229 |
| No log | 3.7778 | 204 | 0.6007 | 0.3149 | 0.6007 | 0.7750 |
| No log | 3.8148 | 206 | 0.7047 | 0.2762 | 0.7047 | 0.8395 |
| No log | 3.8519 | 208 | 0.5933 | 0.3043 | 0.5933 | 0.7702 |
| No log | 3.8889 | 210 | 0.5572 | 0.3846 | 0.5572 | 0.7464 |
| No log | 3.9259 | 212 | 0.5761 | 0.3191 | 0.5761 | 0.7590 |
| No log | 3.9630 | 214 | 0.6300 | 0.2821 | 0.6300 | 0.7937 |
| No log | 4.0 | 216 | 0.7006 | 0.3171 | 0.7006 | 0.8370 |
| No log | 4.0370 | 218 | 0.6121 | 0.3061 | 0.6121 | 0.7824 |
| No log | 4.0741 | 220 | 0.5362 | 0.3797 | 0.5362 | 0.7322 |
| No log | 4.1111 | 222 | 0.5543 | 0.4343 | 0.5543 | 0.7445 |
| No log | 4.1481 | 224 | 0.4996 | 0.2663 | 0.4996 | 0.7069 |
| No log | 4.1852 | 226 | 0.6540 | 0.3769 | 0.6540 | 0.8087 |
| No log | 4.2222 | 228 | 0.6647 | 0.3663 | 0.6647 | 0.8153 |
| No log | 4.2593 | 230 | 0.5296 | 0.3369 | 0.5296 | 0.7277 |
| No log | 4.2963 | 232 | 0.5155 | 0.3878 | 0.5155 | 0.7180 |
| No log | 4.3333 | 234 | 0.4979 | 0.3831 | 0.4979 | 0.7056 |
| No log | 4.3704 | 236 | 0.5154 | 0.3905 | 0.5154 | 0.7179 |
| No log | 4.4074 | 238 | 0.5304 | 0.4233 | 0.5304 | 0.7283 |
| No log | 4.4444 | 240 | 0.5091 | 0.4051 | 0.5091 | 0.7135 |
| No log | 4.4815 | 242 | 0.6698 | 0.4439 | 0.6698 | 0.8184 |
| No log | 4.5185 | 244 | 0.6408 | 0.4439 | 0.6408 | 0.8005 |
| No log | 4.5556 | 246 | 0.4808 | 0.4286 | 0.4808 | 0.6934 |
| No log | 4.5926 | 248 | 0.5789 | 0.4812 | 0.5789 | 0.7608 |
| No log | 4.6296 | 250 | 0.5656 | 0.5229 | 0.5656 | 0.7521 |
| No log | 4.6667 | 252 | 0.4467 | 0.5862 | 0.4467 | 0.6683 |
| No log | 4.7037 | 254 | 0.4781 | 0.3862 | 0.4781 | 0.6915 |
| No log | 4.7407 | 256 | 0.6049 | 0.4185 | 0.6049 | 0.7778 |
| No log | 4.7778 | 258 | 0.6305 | 0.4234 | 0.6305 | 0.7940 |
| No log | 4.8148 | 260 | 0.5191 | 0.4462 | 0.5191 | 0.7205 |
| No log | 4.8519 | 262 | 0.4493 | 0.3548 | 0.4493 | 0.6703 |
| No log | 4.8889 | 264 | 0.4581 | 0.3548 | 0.4581 | 0.6769 |
| No log | 4.9259 | 266 | 0.4632 | 0.3548 | 0.4632 | 0.6806 |
| No log | 4.9630 | 268 | 0.4987 | 0.3862 | 0.4987 | 0.7062 |
| No log | 5.0 | 270 | 0.6452 | 0.3514 | 0.6452 | 0.8032 |
| No log | 5.0370 | 272 | 0.8247 | 0.3811 | 0.8247 | 0.9082 |
| No log | 5.0741 | 274 | 0.6794 | 0.3455 | 0.6794 | 0.8242 |
| No log | 5.1111 | 276 | 0.4818 | 0.4098 | 0.4818 | 0.6941 |
| No log | 5.1481 | 278 | 0.4666 | 0.4627 | 0.4666 | 0.6831 |
| No log | 5.1852 | 280 | 0.5385 | 0.4444 | 0.5385 | 0.7338 |
| No log | 5.2222 | 282 | 0.5119 | 0.5349 | 0.5119 | 0.7155 |
| No log | 5.2593 | 284 | 0.4803 | 0.4573 | 0.4803 | 0.6931 |
| No log | 5.2963 | 286 | 0.5760 | 0.375 | 0.5760 | 0.7589 |
| No log | 5.3333 | 288 | 0.7009 | 0.4239 | 0.7009 | 0.8372 |
| No log | 5.3704 | 290 | 0.6427 | 0.4118 | 0.6427 | 0.8017 |
| No log | 5.4074 | 292 | 0.5131 | 0.4286 | 0.5131 | 0.7163 |
| No log | 5.4444 | 294 | 0.5584 | 0.3585 | 0.5584 | 0.7473 |
| No log | 5.4815 | 296 | 0.5605 | 0.3623 | 0.5605 | 0.7487 |
| No log | 5.5185 | 298 | 0.5423 | 0.3295 | 0.5423 | 0.7364 |
| No log | 5.5556 | 300 | 0.6810 | 0.2475 | 0.6810 | 0.8252 |
| No log | 5.5926 | 302 | 0.7067 | 0.2963 | 0.7067 | 0.8407 |
| No log | 5.6296 | 304 | 0.6015 | 0.3333 | 0.6015 | 0.7755 |
| No log | 5.6667 | 306 | 0.5592 | 0.4162 | 0.5592 | 0.7478 |
| No log | 5.7037 | 308 | 0.5177 | 0.3708 | 0.5177 | 0.7195 |
| No log | 5.7407 | 310 | 0.5064 | 0.3778 | 0.5064 | 0.7116 |
| No log | 5.7778 | 312 | 0.4943 | 0.4475 | 0.4943 | 0.7031 |
| No log | 5.8148 | 314 | 0.5605 | 0.375 | 0.5605 | 0.7487 |
| No log | 5.8519 | 316 | 0.6947 | 0.3305 | 0.6947 | 0.8335 |
| No log | 5.8889 | 318 | 0.7181 | 0.3305 | 0.7181 | 0.8474 |
| No log | 5.9259 | 320 | 0.5647 | 0.3263 | 0.5647 | 0.7515 |
| No log | 5.9630 | 322 | 0.4795 | 0.4894 | 0.4795 | 0.6925 |
| No log | 6.0 | 324 | 0.5360 | 0.4343 | 0.5360 | 0.7321 |
| No log | 6.0370 | 326 | 0.5416 | 0.4462 | 0.5416 | 0.7359 |
| No log | 6.0741 | 328 | 0.4908 | 0.4536 | 0.4908 | 0.7006 |
| No log | 6.1111 | 330 | 0.5188 | 0.4222 | 0.5188 | 0.7203 |
| No log | 6.1481 | 332 | 0.6384 | 0.3561 | 0.6384 | 0.7990 |
| No log | 6.1852 | 334 | 0.6213 | 0.3561 | 0.6213 | 0.7882 |
| No log | 6.2222 | 336 | 0.5161 | 0.3708 | 0.5161 | 0.7184 |
| No log | 6.2593 | 338 | 0.4748 | 0.4607 | 0.4748 | 0.6890 |
| No log | 6.2963 | 340 | 0.4769 | 0.4607 | 0.4769 | 0.6906 |
| No log | 6.3333 | 342 | 0.4758 | 0.3810 | 0.4758 | 0.6898 |
| No log | 6.3704 | 344 | 0.4895 | 0.3609 | 0.4895 | 0.6996 |
| No log | 6.4074 | 346 | 0.5155 | 0.3953 | 0.5155 | 0.7180 |
| No log | 6.4444 | 348 | 0.5807 | 0.3369 | 0.5807 | 0.7620 |
| No log | 6.4815 | 350 | 0.5735 | 0.3591 | 0.5735 | 0.7573 |
| No log | 6.5185 | 352 | 0.5873 | 0.3591 | 0.5873 | 0.7664 |
| No log | 6.5556 | 354 | 0.5396 | 0.3591 | 0.5396 | 0.7346 |
| No log | 6.5926 | 356 | 0.4912 | 0.4483 | 0.4912 | 0.7009 |
| No log | 6.6296 | 358 | 0.4849 | 0.4483 | 0.4849 | 0.6963 |
| No log | 6.6667 | 360 | 0.5130 | 0.4222 | 0.5130 | 0.7163 |
| No log | 6.7037 | 362 | 0.5145 | 0.4222 | 0.5145 | 0.7173 |
| No log | 6.7407 | 364 | 0.5229 | 0.3829 | 0.5229 | 0.7231 |
| No log | 6.7778 | 366 | 0.4984 | 0.4350 | 0.4984 | 0.7060 |
| No log | 6.8148 | 368 | 0.4873 | 0.4725 | 0.4873 | 0.6980 |
| No log | 6.8519 | 370 | 0.4890 | 0.4725 | 0.4890 | 0.6993 |
| No log | 6.8889 | 372 | 0.5092 | 0.4162 | 0.5092 | 0.7136 |
| No log | 6.9259 | 374 | 0.5902 | 0.3641 | 0.5902 | 0.7682 |
| No log | 6.9630 | 376 | 0.7379 | 0.3115 | 0.7379 | 0.8590 |
| No log | 7.0 | 378 | 0.7628 | 0.3651 | 0.7628 | 0.8734 |
| No log | 7.0370 | 380 | 0.6646 | 0.3208 | 0.6646 | 0.8152 |
| No log | 7.0741 | 382 | 0.5514 | 0.3990 | 0.5514 | 0.7426 |
| No log | 7.1111 | 384 | 0.5838 | 0.4171 | 0.5838 | 0.7641 |
| No log | 7.1481 | 386 | 0.6837 | 0.2275 | 0.6837 | 0.8269 |
| No log | 7.1852 | 388 | 0.6857 | 0.2632 | 0.6857 | 0.8281 |
| No log | 7.2222 | 390 | 0.6118 | 0.4118 | 0.6118 | 0.7822 |
| No log | 7.2593 | 392 | 0.5476 | 0.3730 | 0.5476 | 0.7400 |
| No log | 7.2963 | 394 | 0.5605 | 0.3617 | 0.5605 | 0.7487 |
| No log | 7.3333 | 396 | 0.5733 | 0.3402 | 0.5733 | 0.7572 |
| No log | 7.3704 | 398 | 0.5410 | 0.3617 | 0.5410 | 0.7355 |
| No log | 7.4074 | 400 | 0.5140 | 0.4400 | 0.5140 | 0.7169 |
| No log | 7.4444 | 402 | 0.5094 | 0.4694 | 0.5094 | 0.7137 |
| No log | 7.4815 | 404 | 0.5026 | 0.4975 | 0.5026 | 0.7090 |
| No log | 7.5185 | 406 | 0.5000 | 0.4105 | 0.5000 | 0.7071 |
| No log | 7.5556 | 408 | 0.5042 | 0.3730 | 0.5042 | 0.7101 |
| No log | 7.5926 | 410 | 0.4985 | 0.3730 | 0.4985 | 0.7061 |
| No log | 7.6296 | 412 | 0.4918 | 0.3730 | 0.4918 | 0.7013 |
| No log | 7.6667 | 414 | 0.4848 | 0.4348 | 0.4848 | 0.6963 |
| No log | 7.7037 | 416 | 0.4861 | 0.4725 | 0.4861 | 0.6972 |
| No log | 7.7407 | 418 | 0.4822 | 0.4023 | 0.4822 | 0.6944 |
| No log | 7.7778 | 420 | 0.4896 | 0.3778 | 0.4896 | 0.6997 |
| No log | 7.8148 | 422 | 0.5182 | 0.3258 | 0.5182 | 0.7199 |
| No log | 7.8519 | 424 | 0.5330 | 0.3149 | 0.5330 | 0.7301 |
| No log | 7.8889 | 426 | 0.5227 | 0.3149 | 0.5227 | 0.7230 |
| No log | 7.9259 | 428 | 0.5083 | 0.3661 | 0.5083 | 0.7130 |
| No log | 7.9630 | 430 | 0.4826 | 0.3778 | 0.4826 | 0.6947 |
| No log | 8.0 | 432 | 0.4753 | 0.3778 | 0.4753 | 0.6894 |
| No log | 8.0370 | 434 | 0.4714 | 0.4413 | 0.4714 | 0.6866 |
| No log | 8.0741 | 436 | 0.4728 | 0.4545 | 0.4728 | 0.6876 |
| No log | 8.1111 | 438 | 0.4759 | 0.4413 | 0.4759 | 0.6898 |
| No log | 8.1481 | 440 | 0.4862 | 0.4350 | 0.4862 | 0.6972 |
| No log | 8.1852 | 442 | 0.4915 | 0.4350 | 0.4915 | 0.7011 |
| No log | 8.2222 | 444 | 0.5148 | 0.3661 | 0.5148 | 0.7175 |
| No log | 8.2593 | 446 | 0.5325 | 0.3661 | 0.5325 | 0.7297 |
| No log | 8.2963 | 448 | 0.5498 | 0.3548 | 0.5498 | 0.7415 |
| No log | 8.3333 | 450 | 0.5302 | 0.3661 | 0.5302 | 0.7282 |
| No log | 8.3704 | 452 | 0.5032 | 0.4222 | 0.5032 | 0.7094 |
| No log | 8.4074 | 454 | 0.5010 | 0.4350 | 0.5010 | 0.7078 |
| No log | 8.4444 | 456 | 0.4962 | 0.4350 | 0.4962 | 0.7044 |
| No log | 8.4815 | 458 | 0.5026 | 0.3953 | 0.5026 | 0.7090 |
| No log | 8.5185 | 460 | 0.5063 | 0.3953 | 0.5063 | 0.7116 |
| No log | 8.5556 | 462 | 0.5133 | 0.3371 | 0.5133 | 0.7164 |
| No log | 8.5926 | 464 | 0.5143 | 0.3371 | 0.5143 | 0.7172 |
| No log | 8.6296 | 466 | 0.5043 | 0.3953 | 0.5043 | 0.7101 |
| No log | 8.6667 | 468 | 0.4913 | 0.3953 | 0.4913 | 0.7009 |
| No log | 8.7037 | 470 | 0.4765 | 0.3609 | 0.4765 | 0.6903 |
| No log | 8.7407 | 472 | 0.4701 | 0.3609 | 0.4701 | 0.6856 |
| No log | 8.7778 | 474 | 0.4714 | 0.3609 | 0.4714 | 0.6866 |
| No log | 8.8148 | 476 | 0.4748 | 0.3609 | 0.4748 | 0.6890 |
| No log | 8.8519 | 478 | 0.4786 | 0.3609 | 0.4786 | 0.6918 |
| No log | 8.8889 | 480 | 0.4892 | 0.3953 | 0.4892 | 0.6994 |
| No log | 8.9259 | 482 | 0.4982 | 0.3953 | 0.4982 | 0.7058 |
| No log | 8.9630 | 484 | 0.5124 | 0.3953 | 0.5124 | 0.7158 |
| No log | 9.0 | 486 | 0.5246 | 0.3258 | 0.5246 | 0.7243 |
| No log | 9.0370 | 488 | 0.5172 | 0.3953 | 0.5172 | 0.7192 |
| No log | 9.0741 | 490 | 0.4997 | 0.3953 | 0.4997 | 0.7069 |
| No log | 9.1111 | 492 | 0.4908 | 0.4350 | 0.4908 | 0.7006 |
| No log | 9.1481 | 494 | 0.4881 | 0.4350 | 0.4881 | 0.6986 |
| No log | 9.1852 | 496 | 0.4896 | 0.4350 | 0.4896 | 0.6997 |
| No log | 9.2222 | 498 | 0.4963 | 0.4350 | 0.4963 | 0.7045 |
| 0.3994 | 9.2593 | 500 | 0.5061 | 0.4350 | 0.5061 | 0.7114 |
| 0.3994 | 9.2963 | 502 | 0.5238 | 0.3258 | 0.5238 | 0.7238 |
| 0.3994 | 9.3333 | 504 | 0.5457 | 0.3149 | 0.5457 | 0.7387 |
| 0.3994 | 9.3704 | 506 | 0.5655 | 0.3043 | 0.5655 | 0.7520 |
| 0.3994 | 9.4074 | 508 | 0.5733 | 0.3043 | 0.5733 | 0.7572 |
| 0.3994 | 9.4444 | 510 | 0.5744 | 0.3043 | 0.5744 | 0.7579 |
| 0.3994 | 9.4815 | 512 | 0.5831 | 0.3684 | 0.5831 | 0.7636 |
| 0.3994 | 9.5185 | 514 | 0.5802 | 0.3797 | 0.5802 | 0.7617 |
| 0.3994 | 9.5556 | 516 | 0.5704 | 0.3043 | 0.5704 | 0.7552 |
| 0.3994 | 9.5926 | 518 | 0.5520 | 0.3149 | 0.5520 | 0.7429 |
| 0.3994 | 9.6296 | 520 | 0.5362 | 0.3258 | 0.5362 | 0.7323 |
| 0.3994 | 9.6667 | 522 | 0.5215 | 0.3258 | 0.5215 | 0.7221 |
| 0.3994 | 9.7037 | 524 | 0.5127 | 0.4350 | 0.5127 | 0.7160 |
| 0.3994 | 9.7407 | 526 | 0.5075 | 0.4350 | 0.5075 | 0.7124 |
| 0.3994 | 9.7778 | 528 | 0.5042 | 0.4350 | 0.5042 | 0.7100 |
| 0.3994 | 9.8148 | 530 | 0.5031 | 0.4350 | 0.5031 | 0.7093 |
| 0.3994 | 9.8519 | 532 | 0.5025 | 0.4350 | 0.5025 | 0.7089 |
| 0.3994 | 9.8889 | 534 | 0.5010 | 0.4350 | 0.5010 | 0.7078 |
| 0.3994 | 9.9259 | 536 | 0.5013 | 0.4350 | 0.5013 | 0.7080 |
| 0.3994 | 9.9630 | 538 | 0.5013 | 0.4350 | 0.5013 | 0.7080 |
| 0.3994 | 10.0 | 540 | 0.5012 | 0.4350 | 0.5012 | 0.7080 |
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/ArabicNewSplits5_FineTuningAraBERT_run3_AugV5_k9_task3_organization
Base model
aubmindlab/bert-base-arabertv02