ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_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: 0.6849
- Qwk: 0.5186
- Mse: 0.6849
- Rmse: 0.8276
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 | 0.0267 | 2 | 3.7908 | -0.0239 | 3.7908 | 1.9470 |
| No log | 0.0533 | 4 | 2.2226 | 0.1385 | 2.2226 | 1.4908 |
| No log | 0.08 | 6 | 1.1034 | 0.1711 | 1.1034 | 1.0504 |
| No log | 0.1067 | 8 | 1.1499 | 0.1471 | 1.1499 | 1.0724 |
| No log | 0.1333 | 10 | 1.0308 | 0.3815 | 1.0308 | 1.0153 |
| No log | 0.16 | 12 | 1.0314 | 0.0888 | 1.0314 | 1.0156 |
| No log | 0.1867 | 14 | 1.0444 | 0.2721 | 1.0444 | 1.0220 |
| No log | 0.2133 | 16 | 1.0026 | 0.2978 | 1.0026 | 1.0013 |
| No log | 0.24 | 18 | 0.9575 | 0.3048 | 0.9575 | 0.9785 |
| No log | 0.2667 | 20 | 0.9672 | 0.2787 | 0.9672 | 0.9835 |
| No log | 0.2933 | 22 | 0.9351 | 0.2687 | 0.9351 | 0.9670 |
| No log | 0.32 | 24 | 0.9078 | 0.3583 | 0.9078 | 0.9528 |
| No log | 0.3467 | 26 | 0.9101 | 0.3310 | 0.9101 | 0.9540 |
| No log | 0.3733 | 28 | 0.9150 | 0.3625 | 0.9150 | 0.9566 |
| No log | 0.4 | 30 | 0.8465 | 0.3625 | 0.8465 | 0.9201 |
| No log | 0.4267 | 32 | 0.8236 | 0.3813 | 0.8236 | 0.9075 |
| No log | 0.4533 | 34 | 0.8586 | 0.3328 | 0.8586 | 0.9266 |
| No log | 0.48 | 36 | 0.8431 | 0.3890 | 0.8431 | 0.9182 |
| No log | 0.5067 | 38 | 0.7020 | 0.4841 | 0.7020 | 0.8378 |
| No log | 0.5333 | 40 | 0.6632 | 0.5503 | 0.6632 | 0.8144 |
| No log | 0.56 | 42 | 0.6487 | 0.5862 | 0.6487 | 0.8054 |
| No log | 0.5867 | 44 | 0.6366 | 0.5932 | 0.6366 | 0.7979 |
| No log | 0.6133 | 46 | 0.6336 | 0.6500 | 0.6336 | 0.7960 |
| No log | 0.64 | 48 | 0.6448 | 0.6343 | 0.6448 | 0.8030 |
| No log | 0.6667 | 50 | 0.6275 | 0.6459 | 0.6275 | 0.7922 |
| No log | 0.6933 | 52 | 0.5381 | 0.6929 | 0.5381 | 0.7336 |
| No log | 0.72 | 54 | 0.5424 | 0.6356 | 0.5424 | 0.7365 |
| No log | 0.7467 | 56 | 0.5586 | 0.6626 | 0.5586 | 0.7474 |
| No log | 0.7733 | 58 | 0.6951 | 0.6845 | 0.6951 | 0.8337 |
| No log | 0.8 | 60 | 0.7257 | 0.6734 | 0.7257 | 0.8519 |
| No log | 0.8267 | 62 | 0.6337 | 0.6160 | 0.6337 | 0.7961 |
| No log | 0.8533 | 64 | 0.6380 | 0.5949 | 0.6380 | 0.7988 |
| No log | 0.88 | 66 | 0.6739 | 0.6986 | 0.6739 | 0.8209 |
| No log | 0.9067 | 68 | 0.6027 | 0.6774 | 0.6027 | 0.7763 |
| No log | 0.9333 | 70 | 0.5801 | 0.5763 | 0.5801 | 0.7617 |
| No log | 0.96 | 72 | 0.5765 | 0.5990 | 0.5765 | 0.7593 |
| No log | 0.9867 | 74 | 0.5798 | 0.5796 | 0.5798 | 0.7615 |
| No log | 1.0133 | 76 | 0.6264 | 0.6246 | 0.6264 | 0.7914 |
| No log | 1.04 | 78 | 0.6154 | 0.5985 | 0.6154 | 0.7845 |
| No log | 1.0667 | 80 | 0.6157 | 0.6032 | 0.6157 | 0.7847 |
| No log | 1.0933 | 82 | 0.6278 | 0.6032 | 0.6278 | 0.7924 |
| No log | 1.12 | 84 | 0.6372 | 0.6335 | 0.6372 | 0.7982 |
| No log | 1.1467 | 86 | 0.6617 | 0.6597 | 0.6617 | 0.8134 |
| No log | 1.1733 | 88 | 0.6705 | 0.6597 | 0.6705 | 0.8188 |
| No log | 1.2 | 90 | 0.6089 | 0.6881 | 0.6089 | 0.7803 |
| No log | 1.2267 | 92 | 0.6235 | 0.6408 | 0.6235 | 0.7896 |
| No log | 1.2533 | 94 | 0.6907 | 0.6311 | 0.6907 | 0.8311 |
| No log | 1.28 | 96 | 0.6733 | 0.6311 | 0.6733 | 0.8205 |
| No log | 1.3067 | 98 | 0.6003 | 0.6526 | 0.6003 | 0.7748 |
| No log | 1.3333 | 100 | 0.5798 | 0.6650 | 0.5798 | 0.7615 |
| No log | 1.3600 | 102 | 0.5798 | 0.6501 | 0.5798 | 0.7614 |
| No log | 1.3867 | 104 | 0.6143 | 0.6758 | 0.6143 | 0.7838 |
| No log | 1.4133 | 106 | 0.5969 | 0.7027 | 0.5969 | 0.7726 |
| No log | 1.44 | 108 | 0.5927 | 0.6377 | 0.5927 | 0.7699 |
| No log | 1.4667 | 110 | 0.6223 | 0.6410 | 0.6223 | 0.7889 |
| No log | 1.4933 | 112 | 0.6252 | 0.6703 | 0.6252 | 0.7907 |
| No log | 1.52 | 114 | 0.6385 | 0.6471 | 0.6385 | 0.7991 |
| No log | 1.5467 | 116 | 0.6338 | 0.6437 | 0.6338 | 0.7961 |
| No log | 1.5733 | 118 | 0.6392 | 0.5591 | 0.6392 | 0.7995 |
| No log | 1.6 | 120 | 0.6487 | 0.5671 | 0.6487 | 0.8054 |
| No log | 1.6267 | 122 | 0.7045 | 0.6266 | 0.7045 | 0.8394 |
| No log | 1.6533 | 124 | 0.7060 | 0.5763 | 0.7060 | 0.8402 |
| No log | 1.6800 | 126 | 0.6692 | 0.5833 | 0.6692 | 0.8181 |
| No log | 1.7067 | 128 | 0.7247 | 0.5586 | 0.7247 | 0.8513 |
| No log | 1.7333 | 130 | 0.7082 | 0.5455 | 0.7082 | 0.8416 |
| No log | 1.76 | 132 | 0.6494 | 0.5582 | 0.6494 | 0.8059 |
| No log | 1.7867 | 134 | 0.6509 | 0.5797 | 0.6509 | 0.8068 |
| No log | 1.8133 | 136 | 0.6378 | 0.6102 | 0.6378 | 0.7986 |
| No log | 1.8400 | 138 | 0.6149 | 0.6217 | 0.6149 | 0.7841 |
| No log | 1.8667 | 140 | 0.6333 | 0.6316 | 0.6333 | 0.7958 |
| No log | 1.8933 | 142 | 0.6288 | 0.6439 | 0.6288 | 0.7930 |
| No log | 1.92 | 144 | 0.7215 | 0.6198 | 0.7215 | 0.8494 |
| No log | 1.9467 | 146 | 0.9848 | 0.5069 | 0.9848 | 0.9924 |
| No log | 1.9733 | 148 | 0.9032 | 0.5076 | 0.9032 | 0.9503 |
| No log | 2.0 | 150 | 0.6603 | 0.7020 | 0.6603 | 0.8126 |
| No log | 2.0267 | 152 | 0.7527 | 0.5895 | 0.7527 | 0.8676 |
| No log | 2.0533 | 154 | 0.8304 | 0.5866 | 0.8304 | 0.9113 |
| No log | 2.08 | 156 | 0.6961 | 0.6448 | 0.6961 | 0.8343 |
| No log | 2.1067 | 158 | 0.6996 | 0.6578 | 0.6996 | 0.8364 |
| No log | 2.1333 | 160 | 0.9894 | 0.5213 | 0.9894 | 0.9947 |
| No log | 2.16 | 162 | 1.1217 | 0.4575 | 1.1217 | 1.0591 |
| No log | 2.1867 | 164 | 1.0097 | 0.5318 | 1.0097 | 1.0048 |
| No log | 2.2133 | 166 | 0.7725 | 0.5232 | 0.7725 | 0.8789 |
| No log | 2.24 | 168 | 0.6442 | 0.6133 | 0.6442 | 0.8026 |
| No log | 2.2667 | 170 | 0.6887 | 0.6072 | 0.6887 | 0.8299 |
| No log | 2.2933 | 172 | 0.6690 | 0.6919 | 0.6690 | 0.8179 |
| No log | 2.32 | 174 | 0.6295 | 0.6288 | 0.6295 | 0.7934 |
| No log | 2.3467 | 176 | 0.6833 | 0.5660 | 0.6833 | 0.8266 |
| No log | 2.3733 | 178 | 0.7785 | 0.5928 | 0.7785 | 0.8824 |
| No log | 2.4 | 180 | 0.7244 | 0.5844 | 0.7244 | 0.8511 |
| No log | 2.4267 | 182 | 0.5589 | 0.6348 | 0.5589 | 0.7476 |
| No log | 2.4533 | 184 | 0.5160 | 0.7110 | 0.5160 | 0.7183 |
| No log | 2.48 | 186 | 0.5611 | 0.6828 | 0.5611 | 0.7491 |
| No log | 2.5067 | 188 | 0.5390 | 0.7071 | 0.5390 | 0.7341 |
| No log | 2.5333 | 190 | 0.5456 | 0.6986 | 0.5456 | 0.7387 |
| No log | 2.56 | 192 | 0.6858 | 0.6690 | 0.6858 | 0.8281 |
| No log | 2.5867 | 194 | 0.9070 | 0.4770 | 0.9070 | 0.9524 |
| No log | 2.6133 | 196 | 0.8575 | 0.5378 | 0.8575 | 0.9260 |
| No log | 2.64 | 198 | 0.6595 | 0.6045 | 0.6595 | 0.8121 |
| No log | 2.6667 | 200 | 0.5748 | 0.6619 | 0.5748 | 0.7581 |
| No log | 2.6933 | 202 | 0.5810 | 0.6963 | 0.5810 | 0.7622 |
| No log | 2.7200 | 204 | 0.5556 | 0.6804 | 0.5556 | 0.7454 |
| No log | 2.7467 | 206 | 0.6012 | 0.6404 | 0.6012 | 0.7754 |
| No log | 2.7733 | 208 | 0.6726 | 0.5852 | 0.6726 | 0.8201 |
| No log | 2.8 | 210 | 0.7027 | 0.5854 | 0.7027 | 0.8383 |
| No log | 2.8267 | 212 | 0.6486 | 0.6228 | 0.6486 | 0.8053 |
| No log | 2.8533 | 214 | 0.6016 | 0.6197 | 0.6016 | 0.7757 |
| No log | 2.88 | 216 | 0.5899 | 0.6473 | 0.5899 | 0.7681 |
| No log | 2.9067 | 218 | 0.5834 | 0.6564 | 0.5834 | 0.7638 |
| No log | 2.9333 | 220 | 0.6016 | 0.6732 | 0.6016 | 0.7757 |
| No log | 2.96 | 222 | 0.7370 | 0.5715 | 0.7370 | 0.8585 |
| No log | 2.9867 | 224 | 0.8010 | 0.5495 | 0.8010 | 0.8950 |
| No log | 3.0133 | 226 | 0.7161 | 0.5686 | 0.7161 | 0.8462 |
| No log | 3.04 | 228 | 0.6229 | 0.5917 | 0.6229 | 0.7892 |
| No log | 3.0667 | 230 | 0.6330 | 0.6327 | 0.6330 | 0.7956 |
| No log | 3.0933 | 232 | 0.6295 | 0.6419 | 0.6295 | 0.7934 |
| No log | 3.12 | 234 | 0.6100 | 0.6390 | 0.6100 | 0.7810 |
| No log | 3.1467 | 236 | 0.6579 | 0.5968 | 0.6579 | 0.8111 |
| No log | 3.1733 | 238 | 0.7407 | 0.5715 | 0.7407 | 0.8607 |
| No log | 3.2 | 240 | 0.6778 | 0.6064 | 0.6778 | 0.8233 |
| No log | 3.2267 | 242 | 0.6240 | 0.6632 | 0.6240 | 0.7899 |
| No log | 3.2533 | 244 | 0.6551 | 0.6215 | 0.6551 | 0.8094 |
| No log | 3.2800 | 246 | 0.6627 | 0.6226 | 0.6627 | 0.8141 |
| No log | 3.3067 | 248 | 0.6374 | 0.6564 | 0.6374 | 0.7984 |
| No log | 3.3333 | 250 | 0.6623 | 0.6269 | 0.6623 | 0.8138 |
| No log | 3.36 | 252 | 0.6810 | 0.6296 | 0.6810 | 0.8252 |
| No log | 3.3867 | 254 | 0.6792 | 0.5529 | 0.6792 | 0.8241 |
| No log | 3.4133 | 256 | 0.6656 | 0.6164 | 0.6656 | 0.8159 |
| No log | 3.44 | 258 | 0.6862 | 0.6002 | 0.6862 | 0.8284 |
| No log | 3.4667 | 260 | 0.7458 | 0.5852 | 0.7458 | 0.8636 |
| No log | 3.4933 | 262 | 0.7803 | 0.6132 | 0.7803 | 0.8834 |
| No log | 3.52 | 264 | 0.7021 | 0.6318 | 0.7021 | 0.8379 |
| No log | 3.5467 | 266 | 0.6356 | 0.6581 | 0.6356 | 0.7972 |
| No log | 3.5733 | 268 | 0.6432 | 0.5934 | 0.6432 | 0.8020 |
| No log | 3.6 | 270 | 0.6491 | 0.6398 | 0.6491 | 0.8056 |
| No log | 3.6267 | 272 | 0.6776 | 0.6301 | 0.6776 | 0.8232 |
| No log | 3.6533 | 274 | 0.6702 | 0.6301 | 0.6702 | 0.8186 |
| No log | 3.68 | 276 | 0.6696 | 0.6460 | 0.6696 | 0.8183 |
| No log | 3.7067 | 278 | 0.6804 | 0.6464 | 0.6804 | 0.8249 |
| No log | 3.7333 | 280 | 0.6821 | 0.6740 | 0.6821 | 0.8259 |
| No log | 3.76 | 282 | 0.6959 | 0.6100 | 0.6959 | 0.8342 |
| No log | 3.7867 | 284 | 0.7094 | 0.5983 | 0.7094 | 0.8423 |
| No log | 3.8133 | 286 | 0.7781 | 0.5521 | 0.7781 | 0.8821 |
| No log | 3.84 | 288 | 0.7212 | 0.5902 | 0.7212 | 0.8493 |
| No log | 3.8667 | 290 | 0.6173 | 0.6092 | 0.6173 | 0.7857 |
| No log | 3.8933 | 292 | 0.5945 | 0.7056 | 0.5945 | 0.7710 |
| No log | 3.92 | 294 | 0.5902 | 0.7218 | 0.5902 | 0.7682 |
| No log | 3.9467 | 296 | 0.5976 | 0.6861 | 0.5976 | 0.7731 |
| No log | 3.9733 | 298 | 0.6198 | 0.6197 | 0.6198 | 0.7873 |
| No log | 4.0 | 300 | 0.6302 | 0.6084 | 0.6302 | 0.7939 |
| No log | 4.0267 | 302 | 0.6139 | 0.6697 | 0.6139 | 0.7835 |
| No log | 4.0533 | 304 | 0.6218 | 0.6812 | 0.6218 | 0.7885 |
| No log | 4.08 | 306 | 0.6041 | 0.6697 | 0.6041 | 0.7772 |
| No log | 4.1067 | 308 | 0.6294 | 0.6110 | 0.6294 | 0.7934 |
| No log | 4.1333 | 310 | 0.6882 | 0.5735 | 0.6882 | 0.8296 |
| No log | 4.16 | 312 | 0.7305 | 0.5526 | 0.7305 | 0.8547 |
| No log | 4.1867 | 314 | 0.6923 | 0.5019 | 0.6923 | 0.8320 |
| No log | 4.2133 | 316 | 0.6251 | 0.5917 | 0.6251 | 0.7906 |
| No log | 4.24 | 318 | 0.6051 | 0.6433 | 0.6051 | 0.7779 |
| No log | 4.2667 | 320 | 0.6226 | 0.6544 | 0.6226 | 0.7891 |
| No log | 4.2933 | 322 | 0.6138 | 0.7232 | 0.6138 | 0.7834 |
| No log | 4.32 | 324 | 0.6283 | 0.6609 | 0.6283 | 0.7927 |
| No log | 4.3467 | 326 | 0.7393 | 0.5604 | 0.7393 | 0.8598 |
| No log | 4.3733 | 328 | 0.7245 | 0.5428 | 0.7245 | 0.8512 |
| No log | 4.4 | 330 | 0.6477 | 0.5626 | 0.6477 | 0.8048 |
| No log | 4.4267 | 332 | 0.6340 | 0.6186 | 0.6340 | 0.7962 |
| No log | 4.4533 | 334 | 0.6353 | 0.6354 | 0.6353 | 0.7970 |
| No log | 4.48 | 336 | 0.6390 | 0.6916 | 0.6390 | 0.7994 |
| No log | 4.5067 | 338 | 0.6694 | 0.6322 | 0.6694 | 0.8182 |
| No log | 4.5333 | 340 | 0.6702 | 0.6578 | 0.6702 | 0.8187 |
| No log | 4.5600 | 342 | 0.6632 | 0.6717 | 0.6632 | 0.8144 |
| No log | 4.5867 | 344 | 0.6633 | 0.6553 | 0.6633 | 0.8144 |
| No log | 4.6133 | 346 | 0.6706 | 0.6447 | 0.6706 | 0.8189 |
| No log | 4.64 | 348 | 0.6967 | 0.6301 | 0.6967 | 0.8347 |
| No log | 4.6667 | 350 | 0.6943 | 0.6297 | 0.6943 | 0.8332 |
| No log | 4.6933 | 352 | 0.6966 | 0.6284 | 0.6966 | 0.8347 |
| No log | 4.72 | 354 | 0.7144 | 0.6240 | 0.7144 | 0.8452 |
| No log | 4.7467 | 356 | 0.7113 | 0.6046 | 0.7113 | 0.8434 |
| No log | 4.7733 | 358 | 0.7063 | 0.6486 | 0.7063 | 0.8404 |
| No log | 4.8 | 360 | 0.6857 | 0.6722 | 0.6857 | 0.8280 |
| No log | 4.8267 | 362 | 0.6719 | 0.6510 | 0.6719 | 0.8197 |
| No log | 4.8533 | 364 | 0.6801 | 0.5740 | 0.6801 | 0.8247 |
| No log | 4.88 | 366 | 0.7035 | 0.5059 | 0.7035 | 0.8387 |
| No log | 4.9067 | 368 | 0.6905 | 0.5175 | 0.6905 | 0.8310 |
| No log | 4.9333 | 370 | 0.6276 | 0.6177 | 0.6276 | 0.7922 |
| No log | 4.96 | 372 | 0.6209 | 0.6320 | 0.6209 | 0.7880 |
| No log | 4.9867 | 374 | 0.6365 | 0.5700 | 0.6365 | 0.7978 |
| No log | 5.0133 | 376 | 0.7204 | 0.5232 | 0.7204 | 0.8488 |
| No log | 5.04 | 378 | 0.7543 | 0.5232 | 0.7543 | 0.8685 |
| No log | 5.0667 | 380 | 0.7356 | 0.5318 | 0.7356 | 0.8577 |
| No log | 5.0933 | 382 | 0.6587 | 0.5380 | 0.6587 | 0.8116 |
| No log | 5.12 | 384 | 0.6167 | 0.6018 | 0.6167 | 0.7853 |
| No log | 5.1467 | 386 | 0.6102 | 0.6123 | 0.6102 | 0.7811 |
| No log | 5.1733 | 388 | 0.6153 | 0.6045 | 0.6153 | 0.7844 |
| No log | 5.2 | 390 | 0.6720 | 0.5842 | 0.6720 | 0.8197 |
| No log | 5.2267 | 392 | 0.7249 | 0.5821 | 0.7249 | 0.8514 |
| No log | 5.2533 | 394 | 0.6685 | 0.5902 | 0.6685 | 0.8176 |
| No log | 5.28 | 396 | 0.6089 | 0.5712 | 0.6089 | 0.7803 |
| No log | 5.3067 | 398 | 0.6296 | 0.5568 | 0.6296 | 0.7935 |
| No log | 5.3333 | 400 | 0.6218 | 0.5783 | 0.6218 | 0.7885 |
| No log | 5.36 | 402 | 0.6462 | 0.5429 | 0.6462 | 0.8039 |
| No log | 5.3867 | 404 | 0.7449 | 0.5675 | 0.7449 | 0.8631 |
| No log | 5.4133 | 406 | 0.7956 | 0.5714 | 0.7956 | 0.8920 |
| No log | 5.44 | 408 | 0.7261 | 0.5425 | 0.7261 | 0.8521 |
| No log | 5.4667 | 410 | 0.6349 | 0.5774 | 0.6349 | 0.7968 |
| No log | 5.4933 | 412 | 0.6162 | 0.6311 | 0.6162 | 0.7850 |
| No log | 5.52 | 414 | 0.6299 | 0.6985 | 0.6299 | 0.7937 |
| No log | 5.5467 | 416 | 0.6280 | 0.6874 | 0.6280 | 0.7924 |
| No log | 5.5733 | 418 | 0.6268 | 0.6473 | 0.6268 | 0.7917 |
| No log | 5.6 | 420 | 0.6923 | 0.6107 | 0.6923 | 0.8321 |
| No log | 5.6267 | 422 | 0.7705 | 0.5425 | 0.7705 | 0.8778 |
| No log | 5.6533 | 424 | 0.7403 | 0.5439 | 0.7403 | 0.8604 |
| No log | 5.68 | 426 | 0.7054 | 0.5291 | 0.7054 | 0.8399 |
| No log | 5.7067 | 428 | 0.6881 | 0.5373 | 0.6881 | 0.8295 |
| No log | 5.7333 | 430 | 0.6981 | 0.4643 | 0.6981 | 0.8355 |
| No log | 5.76 | 432 | 0.7030 | 0.5131 | 0.7030 | 0.8385 |
| No log | 5.7867 | 434 | 0.7218 | 0.5199 | 0.7218 | 0.8496 |
| No log | 5.8133 | 436 | 0.8180 | 0.5425 | 0.8180 | 0.9044 |
| No log | 5.84 | 438 | 0.8601 | 0.5102 | 0.8601 | 0.9274 |
| No log | 5.8667 | 440 | 0.7635 | 0.5144 | 0.7635 | 0.8738 |
| No log | 5.8933 | 442 | 0.6845 | 0.5375 | 0.6845 | 0.8274 |
| No log | 5.92 | 444 | 0.7298 | 0.4724 | 0.7298 | 0.8543 |
| No log | 5.9467 | 446 | 0.7640 | 0.4771 | 0.7640 | 0.8741 |
| No log | 5.9733 | 448 | 0.7079 | 0.4962 | 0.7079 | 0.8414 |
| No log | 6.0 | 450 | 0.6762 | 0.5359 | 0.6762 | 0.8223 |
| No log | 6.0267 | 452 | 0.7760 | 0.5342 | 0.7760 | 0.8809 |
| No log | 6.0533 | 454 | 0.7889 | 0.5232 | 0.7889 | 0.8882 |
| No log | 6.08 | 456 | 0.7056 | 0.5546 | 0.7056 | 0.8400 |
| No log | 6.1067 | 458 | 0.6691 | 0.4792 | 0.6691 | 0.8180 |
| No log | 6.1333 | 460 | 0.6808 | 0.4938 | 0.6808 | 0.8251 |
| No log | 6.16 | 462 | 0.6726 | 0.4643 | 0.6726 | 0.8201 |
| No log | 6.1867 | 464 | 0.6876 | 0.5546 | 0.6876 | 0.8292 |
| No log | 6.2133 | 466 | 0.7596 | 0.5318 | 0.7596 | 0.8715 |
| No log | 6.24 | 468 | 0.7416 | 0.5436 | 0.7416 | 0.8611 |
| No log | 6.2667 | 470 | 0.6652 | 0.5882 | 0.6652 | 0.8156 |
| No log | 6.2933 | 472 | 0.6245 | 0.6288 | 0.6245 | 0.7902 |
| No log | 6.32 | 474 | 0.6332 | 0.5882 | 0.6332 | 0.7958 |
| No log | 6.3467 | 476 | 0.6307 | 0.6007 | 0.6307 | 0.7942 |
| No log | 6.3733 | 478 | 0.6840 | 0.5279 | 0.6840 | 0.8270 |
| No log | 6.4 | 480 | 0.7758 | 0.5122 | 0.7758 | 0.8808 |
| No log | 6.4267 | 482 | 0.7819 | 0.5122 | 0.7819 | 0.8842 |
| No log | 6.4533 | 484 | 0.7032 | 0.5147 | 0.7032 | 0.8386 |
| No log | 6.48 | 486 | 0.6419 | 0.5637 | 0.6419 | 0.8012 |
| No log | 6.5067 | 488 | 0.6465 | 0.5522 | 0.6465 | 0.8041 |
| No log | 6.5333 | 490 | 0.6842 | 0.4836 | 0.6842 | 0.8272 |
| No log | 6.5600 | 492 | 0.6982 | 0.5046 | 0.6982 | 0.8356 |
| No log | 6.5867 | 494 | 0.6638 | 0.5186 | 0.6638 | 0.8148 |
| No log | 6.6133 | 496 | 0.6320 | 0.5438 | 0.6320 | 0.7950 |
| No log | 6.64 | 498 | 0.6446 | 0.5546 | 0.6446 | 0.8029 |
| 0.2757 | 6.6667 | 500 | 0.6626 | 0.5186 | 0.6626 | 0.8140 |
| 0.2757 | 6.6933 | 502 | 0.7326 | 0.5122 | 0.7326 | 0.8559 |
| 0.2757 | 6.72 | 504 | 0.7612 | 0.5428 | 0.7612 | 0.8725 |
| 0.2757 | 6.7467 | 506 | 0.7332 | 0.5025 | 0.7332 | 0.8563 |
| 0.2757 | 6.7733 | 508 | 0.6698 | 0.5199 | 0.6698 | 0.8184 |
| 0.2757 | 6.8 | 510 | 0.6456 | 0.5996 | 0.6456 | 0.8035 |
| 0.2757 | 6.8267 | 512 | 0.6454 | 0.6581 | 0.6454 | 0.8034 |
| 0.2757 | 6.8533 | 514 | 0.6520 | 0.6473 | 0.6520 | 0.8075 |
| 0.2757 | 6.88 | 516 | 0.6707 | 0.5657 | 0.6707 | 0.8190 |
| 0.2757 | 6.9067 | 518 | 0.7495 | 0.5025 | 0.7495 | 0.8657 |
| 0.2757 | 6.9333 | 520 | 0.7973 | 0.5006 | 0.7973 | 0.8929 |
| 0.2757 | 6.96 | 522 | 0.8148 | 0.5006 | 0.8148 | 0.9027 |
| 0.2757 | 6.9867 | 524 | 0.7665 | 0.5122 | 0.7665 | 0.8755 |
| 0.2757 | 7.0133 | 526 | 0.6849 | 0.5186 | 0.6849 | 0.8276 |
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_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k15_task5_organization
Base model
aubmindlab/bert-base-arabertv02