ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k12_task1_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: 2.1699
- Qwk: 0.1986
- Mse: 2.1699
- Rmse: 1.4731
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 | 0.0385 | 2 | 7.0106 | 0.0110 | 7.0106 | 2.6478 |
No log | 0.0769 | 4 | 3.8273 | 0.0563 | 3.8273 | 1.9563 |
No log | 0.1154 | 6 | 2.5387 | 0.1053 | 2.5387 | 1.5933 |
No log | 0.1538 | 8 | 2.2145 | 0.2113 | 2.2145 | 1.4881 |
No log | 0.1923 | 10 | 1.8804 | 0.2595 | 1.8804 | 1.3713 |
No log | 0.2308 | 12 | 1.8987 | 0.2576 | 1.8987 | 1.3779 |
No log | 0.2692 | 14 | 1.8656 | 0.25 | 1.8656 | 1.3659 |
No log | 0.3077 | 16 | 1.8859 | 0.2222 | 1.8859 | 1.3733 |
No log | 0.3462 | 18 | 1.5803 | 0.2759 | 1.5803 | 1.2571 |
No log | 0.3846 | 20 | 1.4827 | 0.3063 | 1.4827 | 1.2176 |
No log | 0.4231 | 22 | 1.7357 | 0.2321 | 1.7357 | 1.3174 |
No log | 0.4615 | 24 | 1.9034 | 0.2063 | 1.9034 | 1.3796 |
No log | 0.5 | 26 | 1.7106 | 0.3871 | 1.7106 | 1.3079 |
No log | 0.5385 | 28 | 1.6575 | 0.3415 | 1.6575 | 1.2874 |
No log | 0.5769 | 30 | 1.8172 | 0.3089 | 1.8172 | 1.3480 |
No log | 0.6154 | 32 | 1.6655 | 0.3276 | 1.6655 | 1.2905 |
No log | 0.6538 | 34 | 1.4711 | 0.1682 | 1.4711 | 1.2129 |
No log | 0.6923 | 36 | 1.3565 | 0.2075 | 1.3565 | 1.1647 |
No log | 0.7308 | 38 | 1.3373 | 0.375 | 1.3373 | 1.1564 |
No log | 0.7692 | 40 | 1.3324 | 0.3423 | 1.3324 | 1.1543 |
No log | 0.8077 | 42 | 1.3235 | 0.3929 | 1.3235 | 1.1504 |
No log | 0.8462 | 44 | 1.3372 | 0.3860 | 1.3372 | 1.1564 |
No log | 0.8846 | 46 | 1.4138 | 0.3036 | 1.4138 | 1.1890 |
No log | 0.9231 | 48 | 1.4634 | 0.2957 | 1.4634 | 1.2097 |
No log | 0.9615 | 50 | 1.6369 | 0.3000 | 1.6369 | 1.2794 |
No log | 1.0 | 52 | 1.6389 | 0.3025 | 1.6389 | 1.2802 |
No log | 1.0385 | 54 | 1.2617 | 0.4959 | 1.2617 | 1.1233 |
No log | 1.0769 | 56 | 1.1732 | 0.4174 | 1.1732 | 1.0832 |
No log | 1.1154 | 58 | 1.1795 | 0.4211 | 1.1795 | 1.0860 |
No log | 1.1538 | 60 | 1.1749 | 0.4522 | 1.1749 | 1.0839 |
No log | 1.1923 | 62 | 1.2630 | 0.4237 | 1.2630 | 1.1238 |
No log | 1.2308 | 64 | 1.2066 | 0.4444 | 1.2066 | 1.0984 |
No log | 1.2692 | 66 | 1.1627 | 0.4957 | 1.1627 | 1.0783 |
No log | 1.3077 | 68 | 1.4266 | 0.3652 | 1.4266 | 1.1944 |
No log | 1.3462 | 70 | 1.5852 | 0.2523 | 1.5852 | 1.2591 |
No log | 1.3846 | 72 | 1.6459 | 0.2523 | 1.6459 | 1.2829 |
No log | 1.4231 | 74 | 1.8123 | 0.2364 | 1.8123 | 1.3462 |
No log | 1.4615 | 76 | 1.5848 | 0.2523 | 1.5848 | 1.2589 |
No log | 1.5 | 78 | 1.2874 | 0.4138 | 1.2874 | 1.1347 |
No log | 1.5385 | 80 | 1.1688 | 0.4706 | 1.1688 | 1.0811 |
No log | 1.5769 | 82 | 1.0486 | 0.5124 | 1.0486 | 1.0240 |
No log | 1.6154 | 84 | 1.0477 | 0.5410 | 1.0477 | 1.0236 |
No log | 1.6538 | 86 | 1.0801 | 0.5210 | 1.0801 | 1.0393 |
No log | 1.6923 | 88 | 1.2462 | 0.4746 | 1.2462 | 1.1164 |
No log | 1.7308 | 90 | 1.3532 | 0.4444 | 1.3532 | 1.1633 |
No log | 1.7692 | 92 | 1.4525 | 0.3826 | 1.4525 | 1.2052 |
No log | 1.8077 | 94 | 1.3830 | 0.5210 | 1.3830 | 1.1760 |
No log | 1.8462 | 96 | 1.3397 | 0.5124 | 1.3397 | 1.1575 |
No log | 1.8846 | 98 | 1.3361 | 0.5124 | 1.3361 | 1.1559 |
No log | 1.9231 | 100 | 1.3744 | 0.4959 | 1.3744 | 1.1723 |
No log | 1.9615 | 102 | 1.3757 | 0.5041 | 1.3757 | 1.1729 |
No log | 2.0 | 104 | 1.2787 | 0.4874 | 1.2787 | 1.1308 |
No log | 2.0385 | 106 | 1.1971 | 0.4957 | 1.1971 | 1.0941 |
No log | 2.0769 | 108 | 1.2036 | 0.5042 | 1.2036 | 1.0971 |
No log | 2.1154 | 110 | 1.2938 | 0.5 | 1.2938 | 1.1375 |
No log | 2.1538 | 112 | 1.5911 | 0.3307 | 1.5911 | 1.2614 |
No log | 2.1923 | 114 | 1.6967 | 0.2927 | 1.6967 | 1.3026 |
No log | 2.2308 | 116 | 1.5949 | 0.3810 | 1.5949 | 1.2629 |
No log | 2.2692 | 118 | 1.5120 | 0.3876 | 1.5120 | 1.2297 |
No log | 2.3077 | 120 | 1.4842 | 0.4296 | 1.4842 | 1.2183 |
No log | 2.3462 | 122 | 1.5705 | 0.3650 | 1.5705 | 1.2532 |
No log | 2.3846 | 124 | 1.6742 | 0.3022 | 1.6742 | 1.2939 |
No log | 2.4231 | 126 | 1.6864 | 0.3188 | 1.6864 | 1.2986 |
No log | 2.4615 | 128 | 1.6059 | 0.3235 | 1.6059 | 1.2672 |
No log | 2.5 | 130 | 1.4311 | 0.3817 | 1.4311 | 1.1963 |
No log | 2.5385 | 132 | 1.4580 | 0.3939 | 1.4580 | 1.2075 |
No log | 2.5769 | 134 | 1.7735 | 0.2676 | 1.7735 | 1.3317 |
No log | 2.6154 | 136 | 1.9811 | 0.2270 | 1.9811 | 1.4075 |
No log | 2.6538 | 138 | 2.0044 | 0.2014 | 2.0044 | 1.4158 |
No log | 2.6923 | 140 | 1.9034 | 0.2302 | 1.9034 | 1.3797 |
No log | 2.7308 | 142 | 1.7913 | 0.2446 | 1.7913 | 1.3384 |
No log | 2.7692 | 144 | 1.8269 | 0.2714 | 1.8269 | 1.3516 |
No log | 2.8077 | 146 | 1.9552 | 0.2113 | 1.9552 | 1.3983 |
No log | 2.8462 | 148 | 1.9938 | 0.2113 | 1.9938 | 1.4120 |
No log | 2.8846 | 150 | 1.8603 | 0.2571 | 1.8603 | 1.3639 |
No log | 2.9231 | 152 | 1.7587 | 0.2609 | 1.7587 | 1.3262 |
No log | 2.9615 | 154 | 1.7944 | 0.2609 | 1.7944 | 1.3396 |
No log | 3.0 | 156 | 1.8311 | 0.2336 | 1.8311 | 1.3532 |
No log | 3.0385 | 158 | 1.8497 | 0.1871 | 1.8497 | 1.3600 |
No log | 3.0769 | 160 | 1.8930 | 0.2000 | 1.8930 | 1.3759 |
No log | 3.1154 | 162 | 1.7529 | 0.2336 | 1.7529 | 1.3240 |
No log | 3.1538 | 164 | 1.7123 | 0.2920 | 1.7123 | 1.3085 |
No log | 3.1923 | 166 | 1.7492 | 0.2734 | 1.7492 | 1.3226 |
No log | 3.2308 | 168 | 1.9579 | 0.2429 | 1.9579 | 1.3993 |
No log | 3.2692 | 170 | 2.0207 | 0.2143 | 2.0207 | 1.4215 |
No log | 3.3077 | 172 | 1.9818 | 0.2609 | 1.9818 | 1.4078 |
No log | 3.3462 | 174 | 1.9404 | 0.2482 | 1.9404 | 1.3930 |
No log | 3.3846 | 176 | 1.8950 | 0.2609 | 1.8950 | 1.3766 |
No log | 3.4231 | 178 | 1.7193 | 0.3259 | 1.7193 | 1.3112 |
No log | 3.4615 | 180 | 1.6644 | 0.3485 | 1.6644 | 1.2901 |
No log | 3.5 | 182 | 1.6966 | 0.3308 | 1.6966 | 1.3026 |
No log | 3.5385 | 184 | 1.7434 | 0.3433 | 1.7434 | 1.3204 |
No log | 3.5769 | 186 | 1.8357 | 0.3066 | 1.8357 | 1.3549 |
No log | 3.6154 | 188 | 1.9015 | 0.2411 | 1.9015 | 1.3790 |
No log | 3.6538 | 190 | 1.9849 | 0.2098 | 1.9849 | 1.4088 |
No log | 3.6923 | 192 | 2.0120 | 0.1831 | 2.0120 | 1.4184 |
No log | 3.7308 | 194 | 1.9805 | 0.2143 | 1.9805 | 1.4073 |
No log | 3.7692 | 196 | 1.9783 | 0.2128 | 1.9783 | 1.4065 |
No log | 3.8077 | 198 | 1.8793 | 0.2609 | 1.8793 | 1.3709 |
No log | 3.8462 | 200 | 1.8131 | 0.2774 | 1.8131 | 1.3465 |
No log | 3.8846 | 202 | 1.7349 | 0.2941 | 1.7349 | 1.3172 |
No log | 3.9231 | 204 | 1.6625 | 0.2985 | 1.6625 | 1.2894 |
No log | 3.9615 | 206 | 1.6809 | 0.2687 | 1.6809 | 1.2965 |
No log | 4.0 | 208 | 1.7763 | 0.2647 | 1.7763 | 1.3328 |
No log | 4.0385 | 210 | 1.8171 | 0.2647 | 1.8171 | 1.3480 |
No log | 4.0769 | 212 | 1.7906 | 0.2647 | 1.7906 | 1.3381 |
No log | 4.1154 | 214 | 1.7554 | 0.2815 | 1.7554 | 1.3249 |
No log | 4.1538 | 216 | 1.7394 | 0.2985 | 1.7394 | 1.3189 |
No log | 4.1923 | 218 | 1.7363 | 0.2794 | 1.7363 | 1.3177 |
No log | 4.2308 | 220 | 1.7863 | 0.2429 | 1.7863 | 1.3365 |
No log | 4.2692 | 222 | 1.9634 | 0.1986 | 1.9634 | 1.4012 |
No log | 4.3077 | 224 | 2.0619 | 0.1986 | 2.0619 | 1.4359 |
No log | 4.3462 | 226 | 2.0701 | 0.2206 | 2.0701 | 1.4388 |
No log | 4.3846 | 228 | 2.0258 | 0.2270 | 2.0258 | 1.4233 |
No log | 4.4231 | 230 | 1.9454 | 0.2143 | 1.9454 | 1.3948 |
No log | 4.4615 | 232 | 1.9086 | 0.2286 | 1.9086 | 1.3815 |
No log | 4.5 | 234 | 1.9611 | 0.2143 | 1.9611 | 1.4004 |
No log | 4.5385 | 236 | 1.9628 | 0.2143 | 1.9628 | 1.4010 |
No log | 4.5769 | 238 | 1.9271 | 0.2336 | 1.9271 | 1.3882 |
No log | 4.6154 | 240 | 1.9074 | 0.2174 | 1.9074 | 1.3811 |
No log | 4.6538 | 242 | 1.8305 | 0.2482 | 1.8306 | 1.3530 |
No log | 4.6923 | 244 | 1.8184 | 0.2206 | 1.8184 | 1.3485 |
No log | 4.7308 | 246 | 1.7788 | 0.2482 | 1.7788 | 1.3337 |
No log | 4.7692 | 248 | 1.8828 | 0.2446 | 1.8828 | 1.3722 |
No log | 4.8077 | 250 | 2.0021 | 0.2286 | 2.0021 | 1.4149 |
No log | 4.8462 | 252 | 1.9045 | 0.2206 | 1.9045 | 1.3800 |
No log | 4.8846 | 254 | 1.8872 | 0.2206 | 1.8872 | 1.3738 |
No log | 4.9231 | 256 | 1.9712 | 0.2336 | 1.9712 | 1.4040 |
No log | 4.9615 | 258 | 1.9222 | 0.2446 | 1.9222 | 1.3864 |
No log | 5.0 | 260 | 1.8588 | 0.2446 | 1.8588 | 1.3634 |
No log | 5.0385 | 262 | 1.8605 | 0.3000 | 1.8605 | 1.3640 |
No log | 5.0769 | 264 | 1.8908 | 0.3000 | 1.8908 | 1.3750 |
No log | 5.1154 | 266 | 1.8207 | 0.3121 | 1.8207 | 1.3493 |
No log | 5.1538 | 268 | 1.8435 | 0.2429 | 1.8435 | 1.3578 |
No log | 5.1923 | 270 | 1.7808 | 0.2920 | 1.7808 | 1.3345 |
No log | 5.2308 | 272 | 1.5541 | 0.3846 | 1.5541 | 1.2466 |
No log | 5.2692 | 274 | 1.5043 | 0.3846 | 1.5043 | 1.2265 |
No log | 5.3077 | 276 | 1.6743 | 0.3910 | 1.6743 | 1.2940 |
No log | 5.3462 | 278 | 2.0347 | 0.2128 | 2.0347 | 1.4264 |
No log | 5.3846 | 280 | 2.1816 | 0.1831 | 2.1816 | 1.4770 |
No log | 5.4231 | 282 | 2.1176 | 0.1986 | 2.1176 | 1.4552 |
No log | 5.4615 | 284 | 2.0060 | 0.1986 | 2.0060 | 1.4163 |
No log | 5.5 | 286 | 1.9175 | 0.2254 | 1.9175 | 1.3847 |
No log | 5.5385 | 288 | 2.0607 | 0.1986 | 2.0607 | 1.4355 |
No log | 5.5769 | 290 | 2.1332 | 0.2286 | 2.1332 | 1.4606 |
No log | 5.6154 | 292 | 2.0945 | 0.2286 | 2.0945 | 1.4472 |
No log | 5.6538 | 294 | 1.9801 | 0.2590 | 1.9801 | 1.4071 |
No log | 5.6923 | 296 | 1.8692 | 0.2590 | 1.8692 | 1.3672 |
No log | 5.7308 | 298 | 1.7779 | 0.2429 | 1.7779 | 1.3334 |
No log | 5.7692 | 300 | 1.8025 | 0.2429 | 1.8025 | 1.3426 |
No log | 5.8077 | 302 | 1.7735 | 0.2734 | 1.7735 | 1.3317 |
No log | 5.8462 | 304 | 1.8060 | 0.2158 | 1.8060 | 1.3439 |
No log | 5.8846 | 306 | 1.9705 | 0.1986 | 1.9705 | 1.4037 |
No log | 5.9231 | 308 | 2.1156 | 0.1690 | 2.1156 | 1.4545 |
No log | 5.9615 | 310 | 2.0885 | 0.1690 | 2.0885 | 1.4452 |
No log | 6.0 | 312 | 2.0990 | 0.1690 | 2.0990 | 1.4488 |
No log | 6.0385 | 314 | 1.9561 | 0.2286 | 1.9561 | 1.3986 |
No log | 6.0769 | 316 | 1.8070 | 0.3284 | 1.8070 | 1.3443 |
No log | 6.1154 | 318 | 1.8565 | 0.2628 | 1.8565 | 1.3625 |
No log | 6.1538 | 320 | 2.0776 | 0.1986 | 2.0776 | 1.4414 |
No log | 6.1923 | 322 | 2.3001 | 0.1538 | 2.3001 | 1.5166 |
No log | 6.2308 | 324 | 2.3108 | 0.1538 | 2.3108 | 1.5201 |
No log | 6.2692 | 326 | 2.1940 | 0.1831 | 2.1940 | 1.4812 |
No log | 6.3077 | 328 | 2.0123 | 0.2429 | 2.0123 | 1.4185 |
No log | 6.3462 | 330 | 1.9141 | 0.2590 | 1.9141 | 1.3835 |
No log | 6.3846 | 332 | 1.9368 | 0.2590 | 1.9368 | 1.3917 |
No log | 6.4231 | 334 | 2.1365 | 0.2128 | 2.1365 | 1.4617 |
No log | 6.4615 | 336 | 2.1801 | 0.1831 | 2.1801 | 1.4765 |
No log | 6.5 | 338 | 2.1140 | 0.2446 | 2.1140 | 1.4540 |
No log | 6.5385 | 340 | 1.9350 | 0.2353 | 1.9350 | 1.3910 |
No log | 6.5769 | 342 | 1.9133 | 0.2388 | 1.9133 | 1.3832 |
No log | 6.6154 | 344 | 2.0282 | 0.2319 | 2.0282 | 1.4241 |
No log | 6.6538 | 346 | 2.1678 | 0.1986 | 2.1678 | 1.4723 |
No log | 6.6923 | 348 | 2.2251 | 0.1986 | 2.2251 | 1.4917 |
No log | 6.7308 | 350 | 2.2410 | 0.1986 | 2.2410 | 1.4970 |
No log | 6.7692 | 352 | 2.2236 | 0.1986 | 2.2236 | 1.4912 |
No log | 6.8077 | 354 | 2.2881 | 0.1986 | 2.2881 | 1.5126 |
No log | 6.8462 | 356 | 2.1662 | 0.1986 | 2.1662 | 1.4718 |
No log | 6.8846 | 358 | 1.9949 | 0.2302 | 1.9949 | 1.4124 |
No log | 6.9231 | 360 | 1.9865 | 0.2286 | 1.9865 | 1.4094 |
No log | 6.9615 | 362 | 2.0797 | 0.2158 | 2.0797 | 1.4421 |
No log | 7.0 | 364 | 2.2238 | 0.1986 | 2.2238 | 1.4912 |
No log | 7.0385 | 366 | 2.1935 | 0.1986 | 2.1935 | 1.4811 |
No log | 7.0769 | 368 | 2.1497 | 0.1986 | 2.1497 | 1.4662 |
No log | 7.1154 | 370 | 2.2406 | 0.1690 | 2.2406 | 1.4969 |
No log | 7.1538 | 372 | 2.2447 | 0.1690 | 2.2447 | 1.4982 |
No log | 7.1923 | 374 | 2.1370 | 0.1690 | 2.1370 | 1.4618 |
No log | 7.2308 | 376 | 2.1687 | 0.1690 | 2.1687 | 1.4726 |
No log | 7.2692 | 378 | 2.2175 | 0.1690 | 2.2175 | 1.4891 |
No log | 7.3077 | 380 | 2.0855 | 0.1857 | 2.0855 | 1.4441 |
No log | 7.3462 | 382 | 2.0098 | 0.2158 | 2.0098 | 1.4177 |
No log | 7.3846 | 384 | 1.9385 | 0.2628 | 1.9385 | 1.3923 |
No log | 7.4231 | 386 | 2.0233 | 0.2464 | 2.0233 | 1.4224 |
No log | 7.4615 | 388 | 2.2312 | 0.1857 | 2.2312 | 1.4937 |
No log | 7.5 | 390 | 2.5518 | 0.1528 | 2.5518 | 1.5974 |
No log | 7.5385 | 392 | 2.7413 | 0.1216 | 2.7413 | 1.6557 |
No log | 7.5769 | 394 | 2.6588 | 0.1538 | 2.6588 | 1.6306 |
No log | 7.6154 | 396 | 2.3735 | 0.1538 | 2.3735 | 1.5406 |
No log | 7.6538 | 398 | 2.0793 | 0.2128 | 2.0793 | 1.4420 |
No log | 7.6923 | 400 | 1.8799 | 0.2590 | 1.8799 | 1.3711 |
No log | 7.7308 | 402 | 1.8458 | 0.2590 | 1.8458 | 1.3586 |
No log | 7.7692 | 404 | 1.9264 | 0.2590 | 1.9264 | 1.3879 |
No log | 7.8077 | 406 | 2.0177 | 0.2158 | 2.0177 | 1.4204 |
No log | 7.8462 | 408 | 2.1205 | 0.1986 | 2.1205 | 1.4562 |
No log | 7.8846 | 410 | 2.1876 | 0.1831 | 2.1876 | 1.4791 |
No log | 7.9231 | 412 | 2.2487 | 0.1818 | 2.2487 | 1.4996 |
No log | 7.9615 | 414 | 2.0567 | 0.2128 | 2.0567 | 1.4341 |
No log | 8.0 | 416 | 1.8364 | 0.3022 | 1.8364 | 1.3551 |
No log | 8.0385 | 418 | 1.8690 | 0.3022 | 1.8690 | 1.3671 |
No log | 8.0769 | 420 | 2.1269 | 0.1972 | 2.1269 | 1.4584 |
No log | 8.1154 | 422 | 2.3328 | 0.1678 | 2.3328 | 1.5274 |
No log | 8.1538 | 424 | 2.2863 | 0.1678 | 2.2863 | 1.5120 |
No log | 8.1923 | 426 | 2.1301 | 0.1986 | 2.1301 | 1.4595 |
No log | 8.2308 | 428 | 1.8995 | 0.2837 | 1.8995 | 1.3782 |
No log | 8.2692 | 430 | 1.7192 | 0.3188 | 1.7192 | 1.3112 |
No log | 8.3077 | 432 | 1.7214 | 0.3407 | 1.7214 | 1.3120 |
No log | 8.3462 | 434 | 1.8217 | 0.2353 | 1.8217 | 1.3497 |
No log | 8.3846 | 436 | 1.9919 | 0.2029 | 1.9919 | 1.4113 |
No log | 8.4231 | 438 | 2.1989 | 0.1831 | 2.1989 | 1.4829 |
No log | 8.4615 | 440 | 2.3416 | 0.1538 | 2.3416 | 1.5302 |
No log | 8.5 | 442 | 2.3719 | 0.1538 | 2.3719 | 1.5401 |
No log | 8.5385 | 444 | 2.1923 | 0.1831 | 2.1923 | 1.4806 |
No log | 8.5769 | 446 | 2.0381 | 0.2158 | 2.0381 | 1.4276 |
No log | 8.6154 | 448 | 1.9033 | 0.2174 | 1.9033 | 1.3796 |
No log | 8.6538 | 450 | 1.9075 | 0.2174 | 1.9075 | 1.3811 |
No log | 8.6923 | 452 | 1.9876 | 0.2174 | 1.9876 | 1.4098 |
No log | 8.7308 | 454 | 2.0381 | 0.2174 | 2.0381 | 1.4276 |
No log | 8.7692 | 456 | 1.9313 | 0.2174 | 1.9313 | 1.3897 |
No log | 8.8077 | 458 | 1.7666 | 0.2336 | 1.7666 | 1.3291 |
No log | 8.8462 | 460 | 1.7371 | 0.2609 | 1.7371 | 1.3180 |
No log | 8.8846 | 462 | 1.7925 | 0.2336 | 1.7925 | 1.3389 |
No log | 8.9231 | 464 | 1.8024 | 0.2174 | 1.8024 | 1.3425 |
No log | 8.9615 | 466 | 1.7908 | 0.2446 | 1.7908 | 1.3382 |
No log | 9.0 | 468 | 1.8067 | 0.2714 | 1.8067 | 1.3441 |
No log | 9.0385 | 470 | 1.9043 | 0.2446 | 1.9043 | 1.3800 |
No log | 9.0769 | 472 | 1.9619 | 0.2429 | 1.9619 | 1.4007 |
No log | 9.1154 | 474 | 1.8928 | 0.2446 | 1.8928 | 1.3758 |
No log | 9.1538 | 476 | 1.7157 | 0.2837 | 1.7157 | 1.3099 |
No log | 9.1923 | 478 | 1.5404 | 0.3556 | 1.5404 | 1.2411 |
No log | 9.2308 | 480 | 1.4832 | 0.3852 | 1.4832 | 1.2179 |
No log | 9.2692 | 482 | 1.5094 | 0.4118 | 1.5094 | 1.2286 |
No log | 9.3077 | 484 | 1.4935 | 0.4118 | 1.4935 | 1.2221 |
No log | 9.3462 | 486 | 1.4971 | 0.4118 | 1.4971 | 1.2235 |
No log | 9.3846 | 488 | 1.4762 | 0.4593 | 1.4762 | 1.2150 |
No log | 9.4231 | 490 | 1.5684 | 0.3407 | 1.5684 | 1.2523 |
No log | 9.4615 | 492 | 1.6185 | 0.3504 | 1.6185 | 1.2722 |
No log | 9.5 | 494 | 1.6003 | 0.3824 | 1.6003 | 1.2650 |
No log | 9.5385 | 496 | 1.6562 | 0.3284 | 1.6562 | 1.2869 |
No log | 9.5769 | 498 | 1.6810 | 0.3259 | 1.6810 | 1.2965 |
0.4083 | 9.6154 | 500 | 1.6824 | 0.3259 | 1.6824 | 1.2971 |
0.4083 | 9.6538 | 502 | 1.5954 | 0.3876 | 1.5954 | 1.2631 |
0.4083 | 9.6923 | 504 | 1.6016 | 0.4122 | 1.6016 | 1.2655 |
0.4083 | 9.7308 | 506 | 1.6833 | 0.3284 | 1.6833 | 1.2974 |
0.4083 | 9.7692 | 508 | 1.7513 | 0.2941 | 1.7513 | 1.3234 |
0.4083 | 9.8077 | 510 | 1.7431 | 0.3235 | 1.7431 | 1.3203 |
0.4083 | 9.8462 | 512 | 1.8102 | 0.2734 | 1.8102 | 1.3454 |
0.4083 | 9.8846 | 514 | 1.9838 | 0.2254 | 1.9838 | 1.4085 |
0.4083 | 9.9231 | 516 | 2.1699 | 0.1986 | 2.1699 | 1.4731 |
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_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k12_task1_organization
Base model
aubmindlab/bert-base-arabertv02