Instructions to use MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k15_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k15_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k15_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k15_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k15_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k15_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: 1.5741
- Qwk: 0.3788
- Mse: 1.5741
- Rmse: 1.2547
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 | 0.0308 | 2 | 6.9911 | -0.0056 | 6.9911 | 2.6441 |
| No log | 0.0615 | 4 | 4.7930 | 0.0658 | 4.7930 | 2.1893 |
| No log | 0.0923 | 6 | 4.0571 | -0.0909 | 4.0571 | 2.0142 |
| No log | 0.1231 | 8 | 3.4218 | 0.0 | 3.4218 | 1.8498 |
| No log | 0.1538 | 10 | 3.1457 | 0.0252 | 3.1457 | 1.7736 |
| No log | 0.1846 | 12 | 2.5924 | 0.0403 | 2.5924 | 1.6101 |
| No log | 0.2154 | 14 | 2.0710 | 0.1955 | 2.0710 | 1.4391 |
| No log | 0.2462 | 16 | 1.8630 | 0.2264 | 1.8630 | 1.3649 |
| No log | 0.2769 | 18 | 1.7311 | 0.1538 | 1.7311 | 1.3157 |
| No log | 0.3077 | 20 | 1.7061 | 0.1165 | 1.7061 | 1.3062 |
| No log | 0.3385 | 22 | 1.6818 | 0.0784 | 1.6818 | 1.2968 |
| No log | 0.3692 | 24 | 1.5408 | 0.1165 | 1.5408 | 1.2413 |
| No log | 0.4 | 26 | 1.5833 | 0.1869 | 1.5833 | 1.2583 |
| No log | 0.4308 | 28 | 1.8492 | 0.368 | 1.8492 | 1.3598 |
| No log | 0.4615 | 30 | 2.0388 | 0.1805 | 2.0388 | 1.4279 |
| No log | 0.4923 | 32 | 2.0000 | 0.2290 | 2.0000 | 1.4142 |
| No log | 0.5231 | 34 | 1.8978 | 0.3651 | 1.8978 | 1.3776 |
| No log | 0.5538 | 36 | 1.6787 | 0.2807 | 1.6787 | 1.2956 |
| No log | 0.5846 | 38 | 1.6294 | 0.1887 | 1.6294 | 1.2765 |
| No log | 0.6154 | 40 | 1.6900 | 0.1165 | 1.6900 | 1.3000 |
| No log | 0.6462 | 42 | 1.5791 | 0.1165 | 1.5791 | 1.2566 |
| No log | 0.6769 | 44 | 1.5170 | 0.1524 | 1.5170 | 1.2317 |
| No log | 0.7077 | 46 | 1.5106 | 0.2982 | 1.5106 | 1.2291 |
| No log | 0.7385 | 48 | 1.5894 | 0.3361 | 1.5894 | 1.2607 |
| No log | 0.7692 | 50 | 1.6045 | 0.3167 | 1.6045 | 1.2667 |
| No log | 0.8 | 52 | 1.4928 | 0.1869 | 1.4928 | 1.2218 |
| No log | 0.8308 | 54 | 1.6439 | 0.0784 | 1.6439 | 1.2821 |
| No log | 0.8615 | 56 | 1.8296 | 0.1308 | 1.8296 | 1.3526 |
| No log | 0.8923 | 58 | 1.8437 | 0.1667 | 1.8437 | 1.3578 |
| No log | 0.9231 | 60 | 1.6771 | 0.2832 | 1.6771 | 1.2950 |
| No log | 0.9538 | 62 | 1.7865 | 0.3053 | 1.7865 | 1.3366 |
| No log | 0.9846 | 64 | 2.3387 | 0.2158 | 2.3387 | 1.5293 |
| No log | 1.0154 | 66 | 2.3813 | 0.1702 | 2.3813 | 1.5431 |
| No log | 1.0462 | 68 | 2.0785 | 0.2941 | 2.0785 | 1.4417 |
| No log | 1.0769 | 70 | 1.7083 | 0.3231 | 1.7083 | 1.3070 |
| No log | 1.1077 | 72 | 1.4835 | 0.2832 | 1.4835 | 1.2180 |
| No log | 1.1385 | 74 | 1.4220 | 0.2222 | 1.4220 | 1.1925 |
| No log | 1.1692 | 76 | 1.3939 | 0.2727 | 1.3939 | 1.1806 |
| No log | 1.2 | 78 | 1.4066 | 0.3509 | 1.4066 | 1.1860 |
| No log | 1.2308 | 80 | 1.5278 | 0.2857 | 1.5278 | 1.2361 |
| No log | 1.2615 | 82 | 1.5005 | 0.2564 | 1.5005 | 1.2250 |
| No log | 1.2923 | 84 | 1.4522 | 0.3761 | 1.4522 | 1.2051 |
| No log | 1.3231 | 86 | 1.4722 | 0.3729 | 1.4722 | 1.2134 |
| No log | 1.3538 | 88 | 1.4620 | 0.3729 | 1.4620 | 1.2091 |
| No log | 1.3846 | 90 | 1.4697 | 0.3761 | 1.4697 | 1.2123 |
| No log | 1.4154 | 92 | 1.4973 | 0.3220 | 1.4973 | 1.2236 |
| No log | 1.4462 | 94 | 1.5718 | 0.3000 | 1.5718 | 1.2537 |
| No log | 1.4769 | 96 | 1.5046 | 0.3471 | 1.5046 | 1.2266 |
| No log | 1.5077 | 98 | 1.3251 | 0.4 | 1.3251 | 1.1511 |
| No log | 1.5385 | 100 | 1.3286 | 0.2569 | 1.3286 | 1.1526 |
| No log | 1.5692 | 102 | 1.3279 | 0.3243 | 1.3279 | 1.1523 |
| No log | 1.6 | 104 | 1.3321 | 0.4138 | 1.3321 | 1.1542 |
| No log | 1.6308 | 106 | 1.3439 | 0.3363 | 1.3439 | 1.1593 |
| No log | 1.6615 | 108 | 1.3673 | 0.3243 | 1.3673 | 1.1693 |
| No log | 1.6923 | 110 | 1.4063 | 0.4068 | 1.4063 | 1.1859 |
| No log | 1.7231 | 112 | 1.5329 | 0.3158 | 1.5329 | 1.2381 |
| No log | 1.7538 | 114 | 1.6158 | 0.3802 | 1.6158 | 1.2712 |
| No log | 1.7846 | 116 | 1.6928 | 0.3306 | 1.6928 | 1.3011 |
| No log | 1.8154 | 118 | 1.6960 | 0.3306 | 1.6960 | 1.3023 |
| No log | 1.8462 | 120 | 1.8008 | 0.1681 | 1.8008 | 1.3420 |
| No log | 1.8769 | 122 | 1.9398 | 0.2812 | 1.9398 | 1.3928 |
| No log | 1.9077 | 124 | 1.8474 | 0.2791 | 1.8474 | 1.3592 |
| No log | 1.9385 | 126 | 1.7306 | 0.3622 | 1.7306 | 1.3155 |
| No log | 1.9692 | 128 | 1.4642 | 0.4132 | 1.4642 | 1.2100 |
| No log | 2.0 | 130 | 1.4595 | 0.3802 | 1.4595 | 1.2081 |
| No log | 2.0308 | 132 | 1.5279 | 0.3871 | 1.5279 | 1.2361 |
| No log | 2.0615 | 134 | 1.5417 | 0.3810 | 1.5417 | 1.2417 |
| No log | 2.0923 | 136 | 1.5469 | 0.352 | 1.5469 | 1.2438 |
| No log | 2.1231 | 138 | 1.5338 | 0.352 | 1.5338 | 1.2385 |
| No log | 2.1538 | 140 | 1.4579 | 0.3934 | 1.4579 | 1.2074 |
| No log | 2.1846 | 142 | 1.3569 | 0.4274 | 1.3569 | 1.1648 |
| No log | 2.2154 | 144 | 1.3401 | 0.3967 | 1.3401 | 1.1576 |
| No log | 2.2462 | 146 | 1.3806 | 0.3967 | 1.3806 | 1.1750 |
| No log | 2.2769 | 148 | 1.4314 | 0.3577 | 1.4314 | 1.1964 |
| No log | 2.3077 | 150 | 1.4840 | 0.3360 | 1.4840 | 1.2182 |
| No log | 2.3385 | 152 | 1.6146 | 0.352 | 1.6146 | 1.2707 |
| No log | 2.3692 | 154 | 1.7382 | 0.3175 | 1.7382 | 1.3184 |
| No log | 2.4 | 156 | 1.8406 | 0.2443 | 1.8406 | 1.3567 |
| No log | 2.4308 | 158 | 1.9044 | 0.2222 | 1.9044 | 1.3800 |
| No log | 2.4615 | 160 | 2.1044 | 0.1818 | 2.1044 | 1.4507 |
| No log | 2.4923 | 162 | 2.1041 | 0.1818 | 2.1041 | 1.4506 |
| No log | 2.5231 | 164 | 1.9128 | 0.2667 | 1.9128 | 1.3830 |
| No log | 2.5538 | 166 | 1.7024 | 0.3125 | 1.7024 | 1.3047 |
| No log | 2.5846 | 168 | 1.5860 | 0.3150 | 1.5860 | 1.2594 |
| No log | 2.6154 | 170 | 1.4725 | 0.3387 | 1.4725 | 1.2135 |
| No log | 2.6462 | 172 | 1.4006 | 0.3607 | 1.4006 | 1.1835 |
| No log | 2.6769 | 174 | 1.3883 | 0.4426 | 1.3883 | 1.1783 |
| No log | 2.7077 | 176 | 1.4108 | 0.4640 | 1.4108 | 1.1878 |
| No log | 2.7385 | 178 | 1.4418 | 0.3780 | 1.4418 | 1.2008 |
| No log | 2.7692 | 180 | 1.5324 | 0.3906 | 1.5324 | 1.2379 |
| No log | 2.8 | 182 | 1.6690 | 0.3359 | 1.6690 | 1.2919 |
| No log | 2.8308 | 184 | 1.7381 | 0.2815 | 1.7381 | 1.3184 |
| No log | 2.8615 | 186 | 1.7148 | 0.2815 | 1.7148 | 1.3095 |
| No log | 2.8923 | 188 | 1.6594 | 0.3030 | 1.6594 | 1.2882 |
| No log | 2.9231 | 190 | 1.6051 | 0.3256 | 1.6051 | 1.2669 |
| No log | 2.9538 | 192 | 1.4945 | 0.3967 | 1.4945 | 1.2225 |
| No log | 2.9846 | 194 | 1.4305 | 0.3636 | 1.4305 | 1.1960 |
| No log | 3.0154 | 196 | 1.4759 | 0.3802 | 1.4759 | 1.2148 |
| No log | 3.0462 | 198 | 1.6006 | 0.3438 | 1.6006 | 1.2651 |
| No log | 3.0769 | 200 | 1.7457 | 0.3433 | 1.7457 | 1.3213 |
| No log | 3.1077 | 202 | 1.7653 | 0.3066 | 1.7653 | 1.3286 |
| No log | 3.1385 | 204 | 1.6989 | 0.3759 | 1.6989 | 1.3034 |
| No log | 3.1692 | 206 | 1.6708 | 0.4 | 1.6708 | 1.2926 |
| No log | 3.2 | 208 | 1.7169 | 0.3759 | 1.7169 | 1.3103 |
| No log | 3.2308 | 210 | 1.6566 | 0.3817 | 1.6566 | 1.2871 |
| No log | 3.2615 | 212 | 1.5242 | 0.3906 | 1.5242 | 1.2346 |
| No log | 3.2923 | 214 | 1.3672 | 0.3937 | 1.3672 | 1.1693 |
| No log | 3.3231 | 216 | 1.3967 | 0.3968 | 1.3967 | 1.1818 |
| No log | 3.3538 | 218 | 1.4738 | 0.4154 | 1.4738 | 1.2140 |
| No log | 3.3846 | 220 | 1.5198 | 0.4462 | 1.5198 | 1.2328 |
| No log | 3.4154 | 222 | 1.6126 | 0.3817 | 1.6126 | 1.2699 |
| No log | 3.4462 | 224 | 1.7914 | 0.3165 | 1.7914 | 1.3384 |
| No log | 3.4769 | 226 | 2.0029 | 0.2098 | 2.0029 | 1.4152 |
| No log | 3.5077 | 228 | 2.0235 | 0.2098 | 2.0235 | 1.4225 |
| No log | 3.5385 | 230 | 1.8568 | 0.2667 | 1.8568 | 1.3627 |
| No log | 3.5692 | 232 | 1.7622 | 0.3125 | 1.7622 | 1.3275 |
| No log | 3.6 | 234 | 1.7527 | 0.3125 | 1.7527 | 1.3239 |
| No log | 3.6308 | 236 | 1.7391 | 0.2946 | 1.7391 | 1.3187 |
| No log | 3.6615 | 238 | 1.7297 | 0.3053 | 1.7297 | 1.3152 |
| No log | 3.6923 | 240 | 1.7475 | 0.2901 | 1.7475 | 1.3219 |
| No log | 3.7231 | 242 | 1.6894 | 0.2791 | 1.6894 | 1.2998 |
| No log | 3.7538 | 244 | 1.5758 | 0.3307 | 1.5758 | 1.2553 |
| No log | 3.7846 | 246 | 1.5699 | 0.3125 | 1.5699 | 1.2530 |
| No log | 3.8154 | 248 | 1.5404 | 0.3125 | 1.5404 | 1.2411 |
| No log | 3.8462 | 250 | 1.5002 | 0.3968 | 1.5002 | 1.2248 |
| No log | 3.8769 | 252 | 1.5487 | 0.3721 | 1.5487 | 1.2445 |
| No log | 3.9077 | 254 | 1.6082 | 0.3788 | 1.6082 | 1.2681 |
| No log | 3.9385 | 256 | 1.5981 | 0.3664 | 1.5981 | 1.2642 |
| No log | 3.9692 | 258 | 1.5500 | 0.4 | 1.5500 | 1.2450 |
| No log | 4.0 | 260 | 1.5687 | 0.3817 | 1.5687 | 1.2525 |
| No log | 4.0308 | 262 | 1.6276 | 0.3609 | 1.6276 | 1.2758 |
| No log | 4.0615 | 264 | 1.7296 | 0.2941 | 1.7296 | 1.3152 |
| No log | 4.0923 | 266 | 1.7251 | 0.2941 | 1.7251 | 1.3134 |
| No log | 4.1231 | 268 | 1.5813 | 0.3692 | 1.5813 | 1.2575 |
| No log | 4.1538 | 270 | 1.4818 | 0.4286 | 1.4818 | 1.2173 |
| No log | 4.1846 | 272 | 1.4302 | 0.4194 | 1.4302 | 1.1959 |
| No log | 4.2154 | 274 | 1.4080 | 0.4793 | 1.4080 | 1.1866 |
| No log | 4.2462 | 276 | 1.4195 | 0.4793 | 1.4195 | 1.1914 |
| No log | 4.2769 | 278 | 1.4908 | 0.4426 | 1.4908 | 1.2210 |
| No log | 4.3077 | 280 | 1.5737 | 0.4194 | 1.5737 | 1.2545 |
| No log | 4.3385 | 282 | 1.6990 | 0.3582 | 1.6990 | 1.3034 |
| No log | 4.3692 | 284 | 1.7458 | 0.3235 | 1.7458 | 1.3213 |
| No log | 4.4 | 286 | 1.6521 | 0.3308 | 1.6521 | 1.2854 |
| No log | 4.4308 | 288 | 1.6324 | 0.375 | 1.6324 | 1.2777 |
| No log | 4.4615 | 290 | 1.7254 | 0.3111 | 1.7254 | 1.3135 |
| No log | 4.4923 | 292 | 1.8048 | 0.2628 | 1.8048 | 1.3434 |
| No log | 4.5231 | 294 | 1.8557 | 0.2319 | 1.8557 | 1.3622 |
| No log | 4.5538 | 296 | 1.8748 | 0.2290 | 1.8748 | 1.3692 |
| No log | 4.5846 | 298 | 1.8964 | 0.1985 | 1.8964 | 1.3771 |
| No log | 4.6154 | 300 | 1.8797 | 0.1985 | 1.8797 | 1.3710 |
| No log | 4.6462 | 302 | 1.7169 | 0.2667 | 1.7169 | 1.3103 |
| No log | 4.6769 | 304 | 1.6016 | 0.3077 | 1.6016 | 1.2655 |
| No log | 4.7077 | 306 | 1.6141 | 0.35 | 1.6141 | 1.2705 |
| No log | 4.7385 | 308 | 1.6300 | 0.3415 | 1.6300 | 1.2767 |
| No log | 4.7692 | 310 | 1.5735 | 0.3667 | 1.5735 | 1.2544 |
| No log | 4.8 | 312 | 1.5265 | 0.4138 | 1.5265 | 1.2355 |
| No log | 4.8308 | 314 | 1.5390 | 0.3667 | 1.5390 | 1.2406 |
| No log | 4.8615 | 316 | 1.6332 | 0.352 | 1.6332 | 1.2780 |
| No log | 4.8923 | 318 | 1.7343 | 0.2707 | 1.7343 | 1.3169 |
| No log | 4.9231 | 320 | 1.7802 | 0.2687 | 1.7802 | 1.3342 |
| No log | 4.9538 | 322 | 1.7205 | 0.3134 | 1.7205 | 1.3117 |
| No log | 4.9846 | 324 | 1.6250 | 0.3333 | 1.6250 | 1.2748 |
| No log | 5.0154 | 326 | 1.5661 | 0.4062 | 1.5661 | 1.2515 |
| No log | 5.0462 | 328 | 1.5937 | 0.3846 | 1.5937 | 1.2624 |
| No log | 5.0769 | 330 | 1.6811 | 0.3664 | 1.6811 | 1.2966 |
| No log | 5.1077 | 332 | 1.6844 | 0.3846 | 1.6844 | 1.2978 |
| No log | 5.1385 | 334 | 1.6312 | 0.4031 | 1.6312 | 1.2772 |
| No log | 5.1692 | 336 | 1.6330 | 0.4031 | 1.6330 | 1.2779 |
| No log | 5.2 | 338 | 1.6358 | 0.4219 | 1.6358 | 1.2790 |
| No log | 5.2308 | 340 | 1.5870 | 0.384 | 1.5870 | 1.2597 |
| No log | 5.2615 | 342 | 1.5429 | 0.3934 | 1.5429 | 1.2421 |
| No log | 5.2923 | 344 | 1.5894 | 0.3740 | 1.5894 | 1.2607 |
| No log | 5.3231 | 346 | 1.5437 | 0.3740 | 1.5437 | 1.2425 |
| No log | 5.3538 | 348 | 1.4280 | 0.3559 | 1.4280 | 1.1950 |
| No log | 5.3846 | 350 | 1.4250 | 0.3898 | 1.4250 | 1.1938 |
| No log | 5.4154 | 352 | 1.4029 | 0.4167 | 1.4029 | 1.1844 |
| No log | 5.4462 | 354 | 1.4140 | 0.4298 | 1.4140 | 1.1891 |
| No log | 5.4769 | 356 | 1.4874 | 0.3906 | 1.4874 | 1.2196 |
| No log | 5.5077 | 358 | 1.5640 | 0.3910 | 1.5640 | 1.2506 |
| No log | 5.5385 | 360 | 1.6572 | 0.3582 | 1.6572 | 1.2873 |
| No log | 5.5692 | 362 | 1.5749 | 0.3817 | 1.5749 | 1.2549 |
| No log | 5.6 | 364 | 1.4435 | 0.4341 | 1.4435 | 1.2014 |
| No log | 5.6308 | 366 | 1.3996 | 0.4531 | 1.3996 | 1.1831 |
| No log | 5.6615 | 368 | 1.4523 | 0.4341 | 1.4523 | 1.2051 |
| No log | 5.6923 | 370 | 1.4869 | 0.4094 | 1.4869 | 1.2194 |
| No log | 5.7231 | 372 | 1.5254 | 0.3902 | 1.5254 | 1.2351 |
| No log | 5.7538 | 374 | 1.5170 | 0.3902 | 1.5170 | 1.2317 |
| No log | 5.7846 | 376 | 1.4903 | 0.3902 | 1.4903 | 1.2208 |
| No log | 5.8154 | 378 | 1.4185 | 0.4194 | 1.4185 | 1.1910 |
| No log | 5.8462 | 380 | 1.4053 | 0.4219 | 1.4053 | 1.1854 |
| No log | 5.8769 | 382 | 1.4021 | 0.4219 | 1.4021 | 1.1841 |
| No log | 5.9077 | 384 | 1.4914 | 0.4031 | 1.4914 | 1.2212 |
| No log | 5.9385 | 386 | 1.5838 | 0.3969 | 1.5838 | 1.2585 |
| No log | 5.9692 | 388 | 1.7536 | 0.3088 | 1.7536 | 1.3242 |
| No log | 6.0 | 390 | 1.8481 | 0.2590 | 1.8481 | 1.3594 |
| No log | 6.0308 | 392 | 1.8660 | 0.2714 | 1.8660 | 1.3660 |
| No log | 6.0615 | 394 | 1.7275 | 0.3504 | 1.7275 | 1.3143 |
| No log | 6.0923 | 396 | 1.6325 | 0.3529 | 1.6325 | 1.2777 |
| No log | 6.1231 | 398 | 1.5969 | 0.3556 | 1.5969 | 1.2637 |
| No log | 6.1538 | 400 | 1.6810 | 0.3529 | 1.6810 | 1.2965 |
| No log | 6.1846 | 402 | 1.6968 | 0.3043 | 1.6968 | 1.3026 |
| No log | 6.2154 | 404 | 1.5909 | 0.3556 | 1.5909 | 1.2613 |
| No log | 6.2462 | 406 | 1.4998 | 0.3609 | 1.4998 | 1.2247 |
| No log | 6.2769 | 408 | 1.4199 | 0.4062 | 1.4199 | 1.1916 |
| No log | 6.3077 | 410 | 1.4122 | 0.4062 | 1.4122 | 1.1883 |
| No log | 6.3385 | 412 | 1.4675 | 0.4154 | 1.4675 | 1.2114 |
| No log | 6.3692 | 414 | 1.4466 | 0.4031 | 1.4466 | 1.2028 |
| No log | 6.4 | 416 | 1.4094 | 0.4094 | 1.4094 | 1.1872 |
| No log | 6.4308 | 418 | 1.3921 | 0.4094 | 1.3921 | 1.1799 |
| No log | 6.4615 | 420 | 1.4500 | 0.4031 | 1.4500 | 1.2042 |
| No log | 6.4923 | 422 | 1.4172 | 0.4062 | 1.4172 | 1.1904 |
| No log | 6.5231 | 424 | 1.4554 | 0.4031 | 1.4554 | 1.2064 |
| No log | 6.5538 | 426 | 1.5018 | 0.4154 | 1.5018 | 1.2255 |
| No log | 6.5846 | 428 | 1.5963 | 0.3582 | 1.5963 | 1.2634 |
| No log | 6.6154 | 430 | 1.7532 | 0.2609 | 1.7532 | 1.3241 |
| No log | 6.6462 | 432 | 1.7010 | 0.2963 | 1.7010 | 1.3042 |
| No log | 6.6769 | 434 | 1.5723 | 0.3937 | 1.5723 | 1.2539 |
| No log | 6.7077 | 436 | 1.4813 | 0.3740 | 1.4813 | 1.2171 |
| No log | 6.7385 | 438 | 1.4991 | 0.4320 | 1.4991 | 1.2244 |
| No log | 6.7692 | 440 | 1.4721 | 0.4341 | 1.4721 | 1.2133 |
| No log | 6.8 | 442 | 1.4419 | 0.4062 | 1.4419 | 1.2008 |
| No log | 6.8308 | 444 | 1.4768 | 0.4186 | 1.4768 | 1.2152 |
| No log | 6.8615 | 446 | 1.5451 | 0.3721 | 1.5451 | 1.2430 |
| No log | 6.8923 | 448 | 1.5596 | 0.3721 | 1.5596 | 1.2488 |
| No log | 6.9231 | 450 | 1.5615 | 0.3721 | 1.5615 | 1.2496 |
| No log | 6.9538 | 452 | 1.5605 | 0.3636 | 1.5605 | 1.2492 |
| No log | 6.9846 | 454 | 1.4138 | 0.4062 | 1.4138 | 1.1890 |
| No log | 7.0154 | 456 | 1.2790 | 0.4793 | 1.2790 | 1.1309 |
| No log | 7.0462 | 458 | 1.2154 | 0.4754 | 1.2154 | 1.1025 |
| No log | 7.0769 | 460 | 1.2047 | 0.4715 | 1.2047 | 1.0976 |
| No log | 7.1077 | 462 | 1.2137 | 0.4754 | 1.2137 | 1.1017 |
| No log | 7.1385 | 464 | 1.2646 | 0.4878 | 1.2646 | 1.1245 |
| No log | 7.1692 | 466 | 1.4225 | 0.4219 | 1.4225 | 1.1927 |
| No log | 7.2 | 468 | 1.5033 | 0.3969 | 1.5033 | 1.2261 |
| No log | 7.2308 | 470 | 1.5749 | 0.3852 | 1.5749 | 1.2549 |
| No log | 7.2615 | 472 | 1.5078 | 0.3881 | 1.5078 | 1.2279 |
| No log | 7.2923 | 474 | 1.4485 | 0.4 | 1.4485 | 1.2035 |
| No log | 7.3231 | 476 | 1.4149 | 0.4375 | 1.4149 | 1.1895 |
| No log | 7.3538 | 478 | 1.3956 | 0.4444 | 1.3956 | 1.1813 |
| No log | 7.3846 | 480 | 1.5052 | 0.4154 | 1.5052 | 1.2268 |
| No log | 7.4154 | 482 | 1.6318 | 0.3259 | 1.6318 | 1.2774 |
| No log | 7.4462 | 484 | 1.6776 | 0.3529 | 1.6776 | 1.2952 |
| No log | 7.4769 | 486 | 1.5558 | 0.3910 | 1.5558 | 1.2473 |
| No log | 7.5077 | 488 | 1.3596 | 0.4762 | 1.3596 | 1.1660 |
| No log | 7.5385 | 490 | 1.3051 | 0.48 | 1.3051 | 1.1424 |
| No log | 7.5692 | 492 | 1.3225 | 0.4921 | 1.3225 | 1.1500 |
| No log | 7.6 | 494 | 1.4178 | 0.4122 | 1.4178 | 1.1907 |
| No log | 7.6308 | 496 | 1.4638 | 0.3939 | 1.4638 | 1.2099 |
| No log | 7.6615 | 498 | 1.4677 | 0.3939 | 1.4677 | 1.2115 |
| 0.4518 | 7.6923 | 500 | 1.4133 | 0.4308 | 1.4133 | 1.1888 |
| 0.4518 | 7.7231 | 502 | 1.4320 | 0.4496 | 1.4320 | 1.1967 |
| 0.4518 | 7.7538 | 504 | 1.4661 | 0.4496 | 1.4661 | 1.2108 |
| 0.4518 | 7.7846 | 506 | 1.4850 | 0.4496 | 1.4850 | 1.2186 |
| 0.4518 | 7.8154 | 508 | 1.5311 | 0.4308 | 1.5311 | 1.2374 |
| 0.4518 | 7.8462 | 510 | 1.6088 | 0.4060 | 1.6088 | 1.2684 |
| 0.4518 | 7.8769 | 512 | 1.6423 | 0.3852 | 1.6423 | 1.2815 |
| 0.4518 | 7.9077 | 514 | 1.6495 | 0.3731 | 1.6495 | 1.2843 |
| 0.4518 | 7.9385 | 516 | 1.5741 | 0.3788 | 1.5741 | 1.2547 |
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_run3_AugV5_k15_task1_organization
Base model
aubmindlab/bert-base-arabertv02