ArabicNewSplits6_FineTuningAraBERTFreeze_run2_AugV5_k2_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: 0.7379
- Qwk: 0.5348
- Mse: 0.7379
- Rmse: 0.8590
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: 16
- eval_batch_size: 16
- 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 | 0.2857 | 2 | 6.3223 | -0.0278 | 6.3223 | 2.5144 |
| No log | 0.5714 | 4 | 4.1469 | -0.0186 | 4.1469 | 2.0364 |
| No log | 0.8571 | 6 | 2.8200 | 0.0177 | 2.8200 | 1.6793 |
| No log | 1.1429 | 8 | 1.9186 | 0.0707 | 1.9186 | 1.3851 |
| No log | 1.4286 | 10 | 1.3137 | 0.0592 | 1.3137 | 1.1461 |
| No log | 1.7143 | 12 | 0.9507 | 0.0659 | 0.9507 | 0.9751 |
| No log | 2.0 | 14 | 0.7585 | 0.2207 | 0.7585 | 0.8709 |
| No log | 2.2857 | 16 | 0.7038 | 0.1869 | 0.7038 | 0.8389 |
| No log | 2.5714 | 18 | 0.6913 | 0.2549 | 0.6913 | 0.8314 |
| No log | 2.8571 | 20 | 0.6618 | 0.2901 | 0.6618 | 0.8135 |
| No log | 3.1429 | 22 | 0.6364 | 0.2868 | 0.6364 | 0.7978 |
| No log | 3.4286 | 24 | 0.6239 | 0.3051 | 0.6239 | 0.7899 |
| No log | 3.7143 | 26 | 0.6150 | 0.3406 | 0.6150 | 0.7842 |
| No log | 4.0 | 28 | 0.6029 | 0.3557 | 0.6029 | 0.7765 |
| No log | 4.2857 | 30 | 0.6183 | 0.3996 | 0.6183 | 0.7863 |
| No log | 4.5714 | 32 | 0.6830 | 0.3149 | 0.6830 | 0.8264 |
| No log | 4.8571 | 34 | 0.6970 | 0.3060 | 0.6970 | 0.8349 |
| No log | 5.1429 | 36 | 0.6602 | 0.3378 | 0.6602 | 0.8125 |
| No log | 5.4286 | 38 | 0.6170 | 0.3754 | 0.6170 | 0.7855 |
| No log | 5.7143 | 40 | 0.5800 | 0.3792 | 0.5800 | 0.7616 |
| No log | 6.0 | 42 | 0.5489 | 0.3865 | 0.5489 | 0.7409 |
| No log | 6.2857 | 44 | 0.5404 | 0.3623 | 0.5404 | 0.7351 |
| No log | 6.5714 | 46 | 0.5360 | 0.3872 | 0.5360 | 0.7321 |
| No log | 6.8571 | 48 | 0.5217 | 0.4336 | 0.5217 | 0.7223 |
| No log | 7.1429 | 50 | 0.5200 | 0.3953 | 0.5200 | 0.7211 |
| No log | 7.4286 | 52 | 0.5215 | 0.4281 | 0.5215 | 0.7221 |
| No log | 7.7143 | 54 | 0.5290 | 0.4018 | 0.5290 | 0.7273 |
| No log | 8.0 | 56 | 0.5577 | 0.4090 | 0.5577 | 0.7468 |
| No log | 8.2857 | 58 | 0.5906 | 0.3984 | 0.5906 | 0.7685 |
| No log | 8.5714 | 60 | 0.5810 | 0.3869 | 0.5810 | 0.7622 |
| No log | 8.8571 | 62 | 0.5694 | 0.4103 | 0.5694 | 0.7546 |
| No log | 9.1429 | 64 | 0.5708 | 0.4678 | 0.5708 | 0.7555 |
| No log | 9.4286 | 66 | 0.6283 | 0.4776 | 0.6283 | 0.7927 |
| No log | 9.7143 | 68 | 0.6458 | 0.4339 | 0.6458 | 0.8036 |
| No log | 10.0 | 70 | 0.5933 | 0.4965 | 0.5933 | 0.7703 |
| No log | 10.2857 | 72 | 0.5484 | 0.5119 | 0.5484 | 0.7405 |
| No log | 10.5714 | 74 | 0.5170 | 0.4415 | 0.5170 | 0.7190 |
| No log | 10.8571 | 76 | 0.5120 | 0.4493 | 0.5120 | 0.7155 |
| No log | 11.1429 | 78 | 0.5126 | 0.4259 | 0.5126 | 0.7159 |
| No log | 11.4286 | 80 | 0.5250 | 0.4616 | 0.5250 | 0.7246 |
| No log | 11.7143 | 82 | 0.5615 | 0.4745 | 0.5615 | 0.7494 |
| No log | 12.0 | 84 | 0.5735 | 0.4761 | 0.5735 | 0.7573 |
| No log | 12.2857 | 86 | 0.5607 | 0.4565 | 0.5607 | 0.7488 |
| No log | 12.5714 | 88 | 0.5474 | 0.5301 | 0.5474 | 0.7399 |
| No log | 12.8571 | 90 | 0.5526 | 0.5011 | 0.5526 | 0.7433 |
| No log | 13.1429 | 92 | 0.5847 | 0.4915 | 0.5847 | 0.7647 |
| No log | 13.4286 | 94 | 0.6117 | 0.4756 | 0.6117 | 0.7821 |
| No log | 13.7143 | 96 | 0.6097 | 0.5162 | 0.6097 | 0.7808 |
| No log | 14.0 | 98 | 0.5819 | 0.5457 | 0.5819 | 0.7628 |
| No log | 14.2857 | 100 | 0.5611 | 0.5241 | 0.5611 | 0.7491 |
| No log | 14.5714 | 102 | 0.5599 | 0.5314 | 0.5599 | 0.7483 |
| No log | 14.8571 | 104 | 0.5717 | 0.5082 | 0.5717 | 0.7561 |
| No log | 15.1429 | 106 | 0.6010 | 0.5352 | 0.6010 | 0.7752 |
| No log | 15.4286 | 108 | 0.6486 | 0.5422 | 0.6486 | 0.8054 |
| No log | 15.7143 | 110 | 0.6618 | 0.5346 | 0.6618 | 0.8135 |
| No log | 16.0 | 112 | 0.6345 | 0.5653 | 0.6345 | 0.7965 |
| No log | 16.2857 | 114 | 0.6011 | 0.5095 | 0.6011 | 0.7753 |
| No log | 16.5714 | 116 | 0.5931 | 0.5423 | 0.5931 | 0.7701 |
| No log | 16.8571 | 118 | 0.5900 | 0.5324 | 0.5900 | 0.7681 |
| No log | 17.1429 | 120 | 0.5979 | 0.5280 | 0.5979 | 0.7733 |
| No log | 17.4286 | 122 | 0.6282 | 0.5256 | 0.6282 | 0.7926 |
| No log | 17.7143 | 124 | 0.6509 | 0.5413 | 0.6509 | 0.8068 |
| No log | 18.0 | 126 | 0.6735 | 0.5582 | 0.6735 | 0.8206 |
| No log | 18.2857 | 128 | 0.6847 | 0.5512 | 0.6847 | 0.8275 |
| No log | 18.5714 | 130 | 0.6574 | 0.5468 | 0.6574 | 0.8108 |
| No log | 18.8571 | 132 | 0.6431 | 0.4980 | 0.6431 | 0.8020 |
| No log | 19.1429 | 134 | 0.6654 | 0.5427 | 0.6654 | 0.8157 |
| No log | 19.4286 | 136 | 0.7020 | 0.5608 | 0.7020 | 0.8378 |
| No log | 19.7143 | 138 | 0.7317 | 0.5294 | 0.7317 | 0.8554 |
| No log | 20.0 | 140 | 0.7061 | 0.5499 | 0.7061 | 0.8403 |
| No log | 20.2857 | 142 | 0.6601 | 0.5054 | 0.6601 | 0.8125 |
| No log | 20.5714 | 144 | 0.6402 | 0.4968 | 0.6402 | 0.8002 |
| No log | 20.8571 | 146 | 0.6443 | 0.5061 | 0.6443 | 0.8027 |
| No log | 21.1429 | 148 | 0.6630 | 0.4932 | 0.6630 | 0.8143 |
| No log | 21.4286 | 150 | 0.7029 | 0.5457 | 0.7029 | 0.8384 |
| No log | 21.7143 | 152 | 0.7248 | 0.5554 | 0.7248 | 0.8513 |
| No log | 22.0 | 154 | 0.7156 | 0.5378 | 0.7156 | 0.8459 |
| No log | 22.2857 | 156 | 0.7005 | 0.5077 | 0.7005 | 0.8370 |
| No log | 22.5714 | 158 | 0.7069 | 0.5457 | 0.7069 | 0.8408 |
| No log | 22.8571 | 160 | 0.7177 | 0.5391 | 0.7177 | 0.8472 |
| No log | 23.1429 | 162 | 0.7354 | 0.5309 | 0.7354 | 0.8575 |
| No log | 23.4286 | 164 | 0.7485 | 0.5155 | 0.7485 | 0.8652 |
| No log | 23.7143 | 166 | 0.7447 | 0.5126 | 0.7447 | 0.8629 |
| No log | 24.0 | 168 | 0.7260 | 0.5577 | 0.7260 | 0.8521 |
| No log | 24.2857 | 170 | 0.6998 | 0.5678 | 0.6998 | 0.8365 |
| No log | 24.5714 | 172 | 0.7011 | 0.4975 | 0.7011 | 0.8373 |
| No log | 24.8571 | 174 | 0.7264 | 0.5514 | 0.7264 | 0.8523 |
| No log | 25.1429 | 176 | 0.7611 | 0.5655 | 0.7611 | 0.8724 |
| No log | 25.4286 | 178 | 0.7825 | 0.5812 | 0.7825 | 0.8846 |
| No log | 25.7143 | 180 | 0.7783 | 0.5363 | 0.7783 | 0.8822 |
| No log | 26.0 | 182 | 0.7610 | 0.5100 | 0.7610 | 0.8723 |
| No log | 26.2857 | 184 | 0.7604 | 0.5225 | 0.7604 | 0.8720 |
| No log | 26.5714 | 186 | 0.7765 | 0.5116 | 0.7765 | 0.8812 |
| No log | 26.8571 | 188 | 0.7785 | 0.5034 | 0.7785 | 0.8823 |
| No log | 27.1429 | 190 | 0.7762 | 0.5340 | 0.7762 | 0.8810 |
| No log | 27.4286 | 192 | 0.7800 | 0.5427 | 0.7800 | 0.8832 |
| No log | 27.7143 | 194 | 0.7866 | 0.5342 | 0.7866 | 0.8869 |
| No log | 28.0 | 196 | 0.7878 | 0.5329 | 0.7878 | 0.8876 |
| No log | 28.2857 | 198 | 0.7877 | 0.5427 | 0.7877 | 0.8875 |
| No log | 28.5714 | 200 | 0.7863 | 0.5199 | 0.7863 | 0.8867 |
| No log | 28.8571 | 202 | 0.7802 | 0.5244 | 0.7802 | 0.8833 |
| No log | 29.1429 | 204 | 0.7624 | 0.5341 | 0.7624 | 0.8731 |
| No log | 29.4286 | 206 | 0.7574 | 0.5341 | 0.7574 | 0.8703 |
| No log | 29.7143 | 208 | 0.7610 | 0.5739 | 0.7610 | 0.8724 |
| No log | 30.0 | 210 | 0.7881 | 0.5655 | 0.7881 | 0.8878 |
| No log | 30.2857 | 212 | 0.7990 | 0.5590 | 0.7990 | 0.8939 |
| No log | 30.5714 | 214 | 0.7955 | 0.5398 | 0.7955 | 0.8919 |
| No log | 30.8571 | 216 | 0.7967 | 0.5230 | 0.7967 | 0.8926 |
| No log | 31.1429 | 218 | 0.8047 | 0.5230 | 0.8047 | 0.8970 |
| No log | 31.4286 | 220 | 0.8077 | 0.5161 | 0.8077 | 0.8987 |
| No log | 31.7143 | 222 | 0.8093 | 0.4985 | 0.8093 | 0.8996 |
| No log | 32.0 | 224 | 0.8044 | 0.5149 | 0.8044 | 0.8969 |
| No log | 32.2857 | 226 | 0.8010 | 0.5110 | 0.8010 | 0.8950 |
| No log | 32.5714 | 228 | 0.8017 | 0.5048 | 0.8017 | 0.8954 |
| No log | 32.8571 | 230 | 0.8020 | 0.5138 | 0.8020 | 0.8956 |
| No log | 33.1429 | 232 | 0.8074 | 0.5138 | 0.8074 | 0.8986 |
| No log | 33.4286 | 234 | 0.8000 | 0.5258 | 0.8000 | 0.8944 |
| No log | 33.7143 | 236 | 0.7845 | 0.5354 | 0.7845 | 0.8857 |
| No log | 34.0 | 238 | 0.7821 | 0.5343 | 0.7821 | 0.8844 |
| No log | 34.2857 | 240 | 0.7831 | 0.5436 | 0.7831 | 0.8849 |
| No log | 34.5714 | 242 | 0.7752 | 0.5252 | 0.7752 | 0.8804 |
| No log | 34.8571 | 244 | 0.7833 | 0.5354 | 0.7833 | 0.8851 |
| No log | 35.1429 | 246 | 0.7988 | 0.5197 | 0.7988 | 0.8937 |
| No log | 35.4286 | 248 | 0.8122 | 0.5183 | 0.8122 | 0.9012 |
| No log | 35.7143 | 250 | 0.8184 | 0.5080 | 0.8184 | 0.9047 |
| No log | 36.0 | 252 | 0.8302 | 0.5080 | 0.8302 | 0.9111 |
| No log | 36.2857 | 254 | 0.8414 | 0.5127 | 0.8414 | 0.9173 |
| No log | 36.5714 | 256 | 0.8512 | 0.5122 | 0.8512 | 0.9226 |
| No log | 36.8571 | 258 | 0.8519 | 0.5074 | 0.8519 | 0.9230 |
| No log | 37.1429 | 260 | 0.8511 | 0.5060 | 0.8511 | 0.9226 |
| No log | 37.4286 | 262 | 0.8368 | 0.5012 | 0.8368 | 0.9148 |
| No log | 37.7143 | 264 | 0.8220 | 0.4980 | 0.8220 | 0.9067 |
| No log | 38.0 | 266 | 0.8077 | 0.5186 | 0.8077 | 0.8987 |
| No log | 38.2857 | 268 | 0.7989 | 0.5144 | 0.7989 | 0.8938 |
| No log | 38.5714 | 270 | 0.7941 | 0.5283 | 0.7941 | 0.8911 |
| No log | 38.8571 | 272 | 0.7946 | 0.5176 | 0.7946 | 0.8914 |
| No log | 39.1429 | 274 | 0.7952 | 0.5026 | 0.7952 | 0.8917 |
| No log | 39.4286 | 276 | 0.7938 | 0.5237 | 0.7938 | 0.8910 |
| No log | 39.7143 | 278 | 0.7971 | 0.5138 | 0.7971 | 0.8928 |
| No log | 40.0 | 280 | 0.8026 | 0.5153 | 0.8026 | 0.8959 |
| No log | 40.2857 | 282 | 0.8054 | 0.5012 | 0.8054 | 0.8974 |
| No log | 40.5714 | 284 | 0.8206 | 0.5052 | 0.8206 | 0.9059 |
| No log | 40.8571 | 286 | 0.8305 | 0.5103 | 0.8305 | 0.9113 |
| No log | 41.1429 | 288 | 0.8274 | 0.5018 | 0.8274 | 0.9096 |
| No log | 41.4286 | 290 | 0.8243 | 0.4987 | 0.8243 | 0.9079 |
| No log | 41.7143 | 292 | 0.8259 | 0.5186 | 0.8259 | 0.9088 |
| No log | 42.0 | 294 | 0.8317 | 0.5246 | 0.8317 | 0.9120 |
| No log | 42.2857 | 296 | 0.8346 | 0.5104 | 0.8346 | 0.9135 |
| No log | 42.5714 | 298 | 0.8364 | 0.5104 | 0.8364 | 0.9145 |
| No log | 42.8571 | 300 | 0.8387 | 0.5090 | 0.8387 | 0.9158 |
| No log | 43.1429 | 302 | 0.8555 | 0.5250 | 0.8555 | 0.9249 |
| No log | 43.4286 | 304 | 0.8595 | 0.5182 | 0.8595 | 0.9271 |
| No log | 43.7143 | 306 | 0.8462 | 0.5351 | 0.8462 | 0.9199 |
| No log | 44.0 | 308 | 0.8195 | 0.5122 | 0.8195 | 0.9052 |
| No log | 44.2857 | 310 | 0.7924 | 0.4952 | 0.7924 | 0.8901 |
| No log | 44.5714 | 312 | 0.7853 | 0.5070 | 0.7853 | 0.8862 |
| No log | 44.8571 | 314 | 0.7832 | 0.4966 | 0.7832 | 0.8850 |
| No log | 45.1429 | 316 | 0.7883 | 0.5 | 0.7883 | 0.8879 |
| No log | 45.4286 | 318 | 0.7978 | 0.4993 | 0.7978 | 0.8932 |
| No log | 45.7143 | 320 | 0.8078 | 0.5118 | 0.8078 | 0.8988 |
| No log | 46.0 | 322 | 0.8157 | 0.5023 | 0.8157 | 0.9032 |
| No log | 46.2857 | 324 | 0.8245 | 0.5245 | 0.8245 | 0.9080 |
| No log | 46.5714 | 326 | 0.8324 | 0.5216 | 0.8324 | 0.9123 |
| No log | 46.8571 | 328 | 0.8459 | 0.5042 | 0.8459 | 0.9197 |
| No log | 47.1429 | 330 | 0.8525 | 0.4890 | 0.8525 | 0.9233 |
| No log | 47.4286 | 332 | 0.8452 | 0.5026 | 0.8452 | 0.9194 |
| No log | 47.7143 | 334 | 0.8355 | 0.4881 | 0.8355 | 0.9140 |
| No log | 48.0 | 336 | 0.8332 | 0.4917 | 0.8332 | 0.9128 |
| No log | 48.2857 | 338 | 0.8491 | 0.5060 | 0.8491 | 0.9214 |
| No log | 48.5714 | 340 | 0.8708 | 0.5284 | 0.8708 | 0.9332 |
| No log | 48.8571 | 342 | 0.8643 | 0.5307 | 0.8643 | 0.9297 |
| No log | 49.1429 | 344 | 0.8444 | 0.5116 | 0.8444 | 0.9189 |
| No log | 49.4286 | 346 | 0.8302 | 0.4978 | 0.8302 | 0.9112 |
| No log | 49.7143 | 348 | 0.8164 | 0.4938 | 0.8164 | 0.9035 |
| No log | 50.0 | 350 | 0.8044 | 0.4884 | 0.8044 | 0.8969 |
| No log | 50.2857 | 352 | 0.7977 | 0.4946 | 0.7977 | 0.8932 |
| No log | 50.5714 | 354 | 0.7988 | 0.4946 | 0.7988 | 0.8937 |
| No log | 50.8571 | 356 | 0.8099 | 0.4920 | 0.8099 | 0.8999 |
| No log | 51.1429 | 358 | 0.8318 | 0.5262 | 0.8318 | 0.9121 |
| No log | 51.4286 | 360 | 0.8538 | 0.5237 | 0.8538 | 0.9240 |
| No log | 51.7143 | 362 | 0.8498 | 0.5208 | 0.8498 | 0.9219 |
| No log | 52.0 | 364 | 0.8338 | 0.5161 | 0.8338 | 0.9131 |
| No log | 52.2857 | 366 | 0.8179 | 0.4957 | 0.8179 | 0.9044 |
| No log | 52.5714 | 368 | 0.7939 | 0.4923 | 0.7939 | 0.8910 |
| No log | 52.8571 | 370 | 0.7833 | 0.5279 | 0.7833 | 0.8851 |
| No log | 53.1429 | 372 | 0.7862 | 0.5251 | 0.7862 | 0.8867 |
| No log | 53.4286 | 374 | 0.7891 | 0.5289 | 0.7891 | 0.8883 |
| No log | 53.7143 | 376 | 0.7947 | 0.5047 | 0.7947 | 0.8915 |
| No log | 54.0 | 378 | 0.8059 | 0.5135 | 0.8059 | 0.8977 |
| No log | 54.2857 | 380 | 0.8056 | 0.5075 | 0.8056 | 0.8976 |
| No log | 54.5714 | 382 | 0.7955 | 0.5027 | 0.7955 | 0.8919 |
| No log | 54.8571 | 384 | 0.7891 | 0.5080 | 0.7891 | 0.8883 |
| No log | 55.1429 | 386 | 0.7817 | 0.5088 | 0.7817 | 0.8841 |
| No log | 55.4286 | 388 | 0.7844 | 0.4958 | 0.7844 | 0.8856 |
| No log | 55.7143 | 390 | 0.7855 | 0.5174 | 0.7855 | 0.8863 |
| No log | 56.0 | 392 | 0.7858 | 0.4957 | 0.7858 | 0.8865 |
| No log | 56.2857 | 394 | 0.7867 | 0.5075 | 0.7867 | 0.8870 |
| No log | 56.5714 | 396 | 0.7816 | 0.5075 | 0.7816 | 0.8841 |
| No log | 56.8571 | 398 | 0.7862 | 0.5027 | 0.7862 | 0.8867 |
| No log | 57.1429 | 400 | 0.7895 | 0.5034 | 0.7895 | 0.8886 |
| No log | 57.4286 | 402 | 0.7927 | 0.5082 | 0.7927 | 0.8903 |
| No log | 57.7143 | 404 | 0.7984 | 0.5053 | 0.7984 | 0.8935 |
| No log | 58.0 | 406 | 0.8086 | 0.5088 | 0.8086 | 0.8992 |
| No log | 58.2857 | 408 | 0.8143 | 0.5072 | 0.8143 | 0.9024 |
| No log | 58.5714 | 410 | 0.8196 | 0.5217 | 0.8196 | 0.9053 |
| No log | 58.8571 | 412 | 0.8369 | 0.5304 | 0.8369 | 0.9148 |
| No log | 59.1429 | 414 | 0.8580 | 0.5277 | 0.8580 | 0.9263 |
| No log | 59.4286 | 416 | 0.8552 | 0.5258 | 0.8552 | 0.9248 |
| No log | 59.7143 | 418 | 0.8381 | 0.5238 | 0.8381 | 0.9155 |
| No log | 60.0 | 420 | 0.8102 | 0.5208 | 0.8102 | 0.9001 |
| No log | 60.2857 | 422 | 0.7893 | 0.4979 | 0.7893 | 0.8884 |
| No log | 60.5714 | 424 | 0.7812 | 0.5163 | 0.7812 | 0.8839 |
| No log | 60.8571 | 426 | 0.7744 | 0.5329 | 0.7744 | 0.8800 |
| No log | 61.1429 | 428 | 0.7655 | 0.5253 | 0.7655 | 0.8749 |
| No log | 61.4286 | 430 | 0.7681 | 0.5232 | 0.7681 | 0.8764 |
| No log | 61.7143 | 432 | 0.7773 | 0.5204 | 0.7773 | 0.8816 |
| No log | 62.0 | 434 | 0.7767 | 0.5204 | 0.7767 | 0.8813 |
| No log | 62.2857 | 436 | 0.7667 | 0.5286 | 0.7667 | 0.8756 |
| No log | 62.5714 | 438 | 0.7610 | 0.5375 | 0.7610 | 0.8724 |
| No log | 62.8571 | 440 | 0.7570 | 0.5254 | 0.7570 | 0.8700 |
| No log | 63.1429 | 442 | 0.7523 | 0.5306 | 0.7523 | 0.8674 |
| No log | 63.4286 | 444 | 0.7500 | 0.5306 | 0.7500 | 0.8660 |
| No log | 63.7143 | 446 | 0.7486 | 0.5450 | 0.7486 | 0.8652 |
| No log | 64.0 | 448 | 0.7470 | 0.5450 | 0.7470 | 0.8643 |
| No log | 64.2857 | 450 | 0.7477 | 0.5279 | 0.7477 | 0.8647 |
| No log | 64.5714 | 452 | 0.7517 | 0.5485 | 0.7517 | 0.8670 |
| No log | 64.8571 | 454 | 0.7655 | 0.5396 | 0.7655 | 0.8749 |
| No log | 65.1429 | 456 | 0.7725 | 0.5396 | 0.7725 | 0.8789 |
| No log | 65.4286 | 458 | 0.7724 | 0.5346 | 0.7724 | 0.8789 |
| No log | 65.7143 | 460 | 0.7731 | 0.5346 | 0.7731 | 0.8793 |
| No log | 66.0 | 462 | 0.7695 | 0.5422 | 0.7695 | 0.8772 |
| No log | 66.2857 | 464 | 0.7655 | 0.5124 | 0.7655 | 0.8749 |
| No log | 66.5714 | 466 | 0.7630 | 0.5124 | 0.7630 | 0.8735 |
| No log | 66.8571 | 468 | 0.7616 | 0.4972 | 0.7616 | 0.8727 |
| No log | 67.1429 | 470 | 0.7632 | 0.4972 | 0.7632 | 0.8736 |
| No log | 67.4286 | 472 | 0.7714 | 0.5173 | 0.7714 | 0.8783 |
| No log | 67.7143 | 474 | 0.7813 | 0.5194 | 0.7813 | 0.8839 |
| No log | 68.0 | 476 | 0.7860 | 0.5185 | 0.7860 | 0.8866 |
| No log | 68.2857 | 478 | 0.7898 | 0.5307 | 0.7898 | 0.8887 |
| No log | 68.5714 | 480 | 0.7814 | 0.5362 | 0.7814 | 0.8840 |
| No log | 68.8571 | 482 | 0.7634 | 0.5222 | 0.7634 | 0.8737 |
| No log | 69.1429 | 484 | 0.7565 | 0.5173 | 0.7565 | 0.8698 |
| No log | 69.4286 | 486 | 0.7546 | 0.5173 | 0.7546 | 0.8687 |
| No log | 69.7143 | 488 | 0.7500 | 0.5351 | 0.7500 | 0.8660 |
| No log | 70.0 | 490 | 0.7488 | 0.5351 | 0.7488 | 0.8653 |
| No log | 70.2857 | 492 | 0.7493 | 0.5275 | 0.7493 | 0.8656 |
| No log | 70.5714 | 494 | 0.7498 | 0.5275 | 0.7498 | 0.8659 |
| No log | 70.8571 | 496 | 0.7548 | 0.5318 | 0.7548 | 0.8688 |
| No log | 71.1429 | 498 | 0.7617 | 0.5545 | 0.7617 | 0.8727 |
| 0.5217 | 71.4286 | 500 | 0.7702 | 0.5520 | 0.7702 | 0.8776 |
| 0.5217 | 71.7143 | 502 | 0.7700 | 0.5692 | 0.7700 | 0.8775 |
| 0.5217 | 72.0 | 504 | 0.7567 | 0.5655 | 0.7567 | 0.8699 |
| 0.5217 | 72.2857 | 506 | 0.7380 | 0.5660 | 0.7380 | 0.8591 |
| 0.5217 | 72.5714 | 508 | 0.7307 | 0.5242 | 0.7307 | 0.8548 |
| 0.5217 | 72.8571 | 510 | 0.7290 | 0.5254 | 0.7290 | 0.8538 |
| 0.5217 | 73.1429 | 512 | 0.7294 | 0.5254 | 0.7294 | 0.8540 |
| 0.5217 | 73.4286 | 514 | 0.7315 | 0.5299 | 0.7315 | 0.8553 |
| 0.5217 | 73.7143 | 516 | 0.7379 | 0.5348 | 0.7379 | 0.8590 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run2_AugV5_k2_task2_organization
Base model
aubmindlab/bert-base-arabertv02