ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run2_AugV5_k8_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: 0.5009
- Qwk: 0.5459
- Mse: 0.5009
- Rmse: 0.7077
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 | 0.0476 | 2 | 3.3864 | -0.0149 | 3.3864 | 1.8402 |
| No log | 0.0952 | 4 | 1.9182 | -0.0070 | 1.9182 | 1.3850 |
| No log | 0.1429 | 6 | 1.0033 | 0.0 | 1.0033 | 1.0016 |
| No log | 0.1905 | 8 | 0.7451 | 0.2077 | 0.7451 | 0.8632 |
| No log | 0.2381 | 10 | 0.7688 | 0.2222 | 0.7688 | 0.8768 |
| No log | 0.2857 | 12 | 0.5747 | 0.1895 | 0.5747 | 0.7581 |
| No log | 0.3333 | 14 | 0.6479 | 0.3898 | 0.6479 | 0.8049 |
| No log | 0.3810 | 16 | 0.6476 | 0.3778 | 0.6476 | 0.8047 |
| No log | 0.4286 | 18 | 0.6928 | 0.3118 | 0.6928 | 0.8324 |
| No log | 0.4762 | 20 | 0.6042 | 0.3086 | 0.6042 | 0.7773 |
| No log | 0.5238 | 22 | 0.5718 | 0.1206 | 0.5718 | 0.7562 |
| No log | 0.5714 | 24 | 0.6035 | 0.1895 | 0.6035 | 0.7769 |
| No log | 0.6190 | 26 | 0.6356 | 0.1905 | 0.6356 | 0.7972 |
| No log | 0.6667 | 28 | 0.7227 | 0.2169 | 0.7227 | 0.8501 |
| No log | 0.7143 | 30 | 0.6249 | 0.2281 | 0.6249 | 0.7905 |
| No log | 0.7619 | 32 | 0.6317 | 0.2542 | 0.6317 | 0.7948 |
| No log | 0.8095 | 34 | 0.7780 | 0.1691 | 0.7780 | 0.8821 |
| No log | 0.8571 | 36 | 0.6317 | 0.2967 | 0.6317 | 0.7948 |
| No log | 0.9048 | 38 | 0.5995 | 0.4033 | 0.5995 | 0.7743 |
| No log | 0.9524 | 40 | 0.6789 | 0.2577 | 0.6789 | 0.8239 |
| No log | 1.0 | 42 | 0.7099 | 0.2577 | 0.7099 | 0.8426 |
| No log | 1.0476 | 44 | 0.7268 | 0.2536 | 0.7268 | 0.8525 |
| No log | 1.0952 | 46 | 0.6305 | 0.2090 | 0.6305 | 0.7940 |
| No log | 1.1429 | 48 | 0.9944 | 0.0938 | 0.9944 | 0.9972 |
| No log | 1.1905 | 50 | 1.0930 | 0.0977 | 1.0930 | 1.0455 |
| No log | 1.2381 | 52 | 0.6766 | 0.2593 | 0.6766 | 0.8226 |
| No log | 1.2857 | 54 | 1.1769 | 0.1839 | 1.1769 | 1.0849 |
| No log | 1.3333 | 56 | 1.0270 | 0.1746 | 1.0270 | 1.0134 |
| No log | 1.3810 | 58 | 0.6120 | 0.36 | 0.6120 | 0.7823 |
| No log | 1.4286 | 60 | 0.5889 | 0.375 | 0.5889 | 0.7674 |
| No log | 1.4762 | 62 | 0.5608 | 0.4043 | 0.5608 | 0.7489 |
| No log | 1.5238 | 64 | 0.5740 | 0.3369 | 0.5740 | 0.7576 |
| No log | 1.5714 | 66 | 0.5844 | 0.3439 | 0.5844 | 0.7645 |
| No log | 1.6190 | 68 | 0.5850 | 0.3191 | 0.5850 | 0.7648 |
| No log | 1.6667 | 70 | 0.8016 | 0.2212 | 0.8016 | 0.8953 |
| No log | 1.7143 | 72 | 0.8578 | 0.2000 | 0.8578 | 0.9262 |
| No log | 1.7619 | 74 | 0.5914 | 0.3978 | 0.5914 | 0.7690 |
| No log | 1.8095 | 76 | 0.7632 | 0.2332 | 0.7632 | 0.8736 |
| No log | 1.8571 | 78 | 0.8214 | 0.2780 | 0.8214 | 0.9063 |
| No log | 1.9048 | 80 | 0.5531 | 0.1329 | 0.5531 | 0.7437 |
| No log | 1.9524 | 82 | 0.6147 | 0.3439 | 0.6147 | 0.7840 |
| No log | 2.0 | 84 | 0.7900 | 0.2000 | 0.7900 | 0.8888 |
| No log | 2.0476 | 86 | 0.7191 | 0.2432 | 0.7191 | 0.8480 |
| No log | 2.0952 | 88 | 0.4931 | 0.4947 | 0.4931 | 0.7022 |
| No log | 2.1429 | 90 | 0.4743 | 0.3913 | 0.4743 | 0.6887 |
| No log | 2.1905 | 92 | 1.0849 | 0.2715 | 1.0849 | 1.0416 |
| No log | 2.2381 | 94 | 0.8659 | 0.3125 | 0.8659 | 0.9306 |
| No log | 2.2857 | 96 | 0.5085 | 0.3769 | 0.5085 | 0.7131 |
| No log | 2.3333 | 98 | 0.5795 | 0.3514 | 0.5795 | 0.7612 |
| No log | 2.3810 | 100 | 0.5326 | 0.3398 | 0.5326 | 0.7298 |
| No log | 2.4286 | 102 | 0.5650 | 0.2821 | 0.5650 | 0.7517 |
| No log | 2.4762 | 104 | 0.9988 | 0.2688 | 0.9988 | 0.9994 |
| No log | 2.5238 | 106 | 1.0137 | 0.2892 | 1.0137 | 1.0068 |
| No log | 2.5714 | 108 | 0.7450 | 0.3226 | 0.7450 | 0.8631 |
| No log | 2.6190 | 110 | 0.5898 | 0.3973 | 0.5898 | 0.7680 |
| No log | 2.6667 | 112 | 0.6494 | 0.4182 | 0.6494 | 0.8059 |
| No log | 2.7143 | 114 | 0.5594 | 0.2692 | 0.5594 | 0.7479 |
| No log | 2.7619 | 116 | 0.6799 | 0.2323 | 0.6799 | 0.8245 |
| No log | 2.8095 | 118 | 1.0080 | 0.2243 | 1.0080 | 1.0040 |
| No log | 2.8571 | 120 | 0.6587 | 0.1919 | 0.6587 | 0.8116 |
| No log | 2.9048 | 122 | 0.4809 | 0.4732 | 0.4809 | 0.6934 |
| No log | 2.9524 | 124 | 0.4974 | 0.4518 | 0.4974 | 0.7053 |
| No log | 3.0 | 126 | 0.4788 | 0.4229 | 0.4788 | 0.6920 |
| No log | 3.0476 | 128 | 0.5097 | 0.4286 | 0.5097 | 0.7139 |
| No log | 3.0952 | 130 | 0.5177 | 0.4112 | 0.5177 | 0.7195 |
| No log | 3.1429 | 132 | 0.4895 | 0.4563 | 0.4895 | 0.6997 |
| No log | 3.1905 | 134 | 0.4998 | 0.4455 | 0.4998 | 0.7069 |
| No log | 3.2381 | 136 | 0.7176 | 0.2146 | 0.7176 | 0.8471 |
| No log | 3.2857 | 138 | 0.8351 | 0.2450 | 0.8351 | 0.9138 |
| No log | 3.3333 | 140 | 0.9100 | 0.2432 | 0.9100 | 0.9539 |
| No log | 3.3810 | 142 | 0.8441 | 0.2996 | 0.8441 | 0.9188 |
| No log | 3.4286 | 144 | 0.6286 | 0.3651 | 0.6286 | 0.7929 |
| No log | 3.4762 | 146 | 0.5858 | 0.4182 | 0.5858 | 0.7654 |
| No log | 3.5238 | 148 | 0.5713 | 0.5169 | 0.5713 | 0.7558 |
| No log | 3.5714 | 150 | 0.7011 | 0.3214 | 0.7011 | 0.8373 |
| No log | 3.6190 | 152 | 0.6917 | 0.3571 | 0.6917 | 0.8317 |
| No log | 3.6667 | 154 | 0.5358 | 0.3333 | 0.5358 | 0.7320 |
| No log | 3.7143 | 156 | 0.8883 | 0.1931 | 0.8883 | 0.9425 |
| No log | 3.7619 | 158 | 1.1318 | 0.0815 | 1.1318 | 1.0639 |
| No log | 3.8095 | 160 | 0.7639 | 0.2212 | 0.7639 | 0.8740 |
| No log | 3.8571 | 162 | 0.5377 | 0.3231 | 0.5377 | 0.7333 |
| No log | 3.9048 | 164 | 0.5474 | 0.3367 | 0.5474 | 0.7399 |
| No log | 3.9524 | 166 | 0.5562 | 0.4105 | 0.5562 | 0.7458 |
| No log | 4.0 | 168 | 0.5801 | 0.4167 | 0.5801 | 0.7616 |
| No log | 4.0476 | 170 | 0.5743 | 0.4694 | 0.5743 | 0.7578 |
| No log | 4.0952 | 172 | 0.5966 | 0.3200 | 0.5966 | 0.7724 |
| No log | 4.1429 | 174 | 0.5927 | 0.3641 | 0.5927 | 0.7699 |
| No log | 4.1905 | 176 | 0.7286 | 0.2000 | 0.7286 | 0.8536 |
| No log | 4.2381 | 178 | 0.8087 | 0.2143 | 0.8087 | 0.8993 |
| No log | 4.2857 | 180 | 0.8872 | 0.2137 | 0.8872 | 0.9419 |
| No log | 4.3333 | 182 | 0.6610 | 0.2842 | 0.6610 | 0.8130 |
| No log | 4.3810 | 184 | 0.6314 | 0.4234 | 0.6314 | 0.7946 |
| No log | 4.4286 | 186 | 0.6172 | 0.4234 | 0.6172 | 0.7856 |
| No log | 4.4762 | 188 | 0.6223 | 0.2842 | 0.6223 | 0.7889 |
| No log | 4.5238 | 190 | 0.8516 | 0.2143 | 0.8516 | 0.9228 |
| No log | 4.5714 | 192 | 0.7381 | 0.2146 | 0.7381 | 0.8592 |
| No log | 4.6190 | 194 | 0.5837 | 0.36 | 0.5837 | 0.7640 |
| No log | 4.6667 | 196 | 0.5944 | 0.3299 | 0.5944 | 0.7710 |
| No log | 4.7143 | 198 | 0.5978 | 0.3367 | 0.5978 | 0.7732 |
| No log | 4.7619 | 200 | 0.5813 | 0.3398 | 0.5813 | 0.7624 |
| No log | 4.8095 | 202 | 0.6844 | 0.2563 | 0.6844 | 0.8273 |
| No log | 4.8571 | 204 | 0.8157 | 0.2140 | 0.8157 | 0.9031 |
| No log | 4.9048 | 206 | 0.6575 | 0.2549 | 0.6575 | 0.8108 |
| No log | 4.9524 | 208 | 0.4919 | 0.4680 | 0.4919 | 0.7013 |
| No log | 5.0 | 210 | 0.5277 | 0.5068 | 0.5277 | 0.7264 |
| No log | 5.0476 | 212 | 0.5001 | 0.4341 | 0.5001 | 0.7072 |
| No log | 5.0952 | 214 | 0.4941 | 0.4413 | 0.4941 | 0.7029 |
| No log | 5.1429 | 216 | 0.5680 | 0.3118 | 0.5680 | 0.7537 |
| No log | 5.1905 | 218 | 0.5092 | 0.4286 | 0.5092 | 0.7136 |
| No log | 5.2381 | 220 | 0.4783 | 0.4348 | 0.4783 | 0.6916 |
| No log | 5.2857 | 222 | 0.4948 | 0.375 | 0.4948 | 0.7034 |
| No log | 5.3333 | 224 | 0.4860 | 0.4627 | 0.4860 | 0.6971 |
| No log | 5.3810 | 226 | 0.4897 | 0.4105 | 0.4897 | 0.6998 |
| No log | 5.4286 | 228 | 0.4840 | 0.4468 | 0.4840 | 0.6957 |
| No log | 5.4762 | 230 | 0.5038 | 0.3927 | 0.5038 | 0.7098 |
| No log | 5.5238 | 232 | 0.4660 | 0.4468 | 0.4660 | 0.6827 |
| No log | 5.5714 | 234 | 0.5111 | 0.4450 | 0.5111 | 0.7149 |
| No log | 5.6190 | 236 | 0.5359 | 0.4171 | 0.5359 | 0.7320 |
| No log | 5.6667 | 238 | 0.4600 | 0.6 | 0.4600 | 0.6782 |
| No log | 5.7143 | 240 | 0.4935 | 0.3333 | 0.4935 | 0.7025 |
| No log | 5.7619 | 242 | 0.5532 | 0.3439 | 0.5532 | 0.7438 |
| No log | 5.8095 | 244 | 0.5450 | 0.3299 | 0.5450 | 0.7383 |
| No log | 5.8571 | 246 | 0.4689 | 0.52 | 0.4689 | 0.6848 |
| No log | 5.9048 | 248 | 0.5079 | 0.4680 | 0.5079 | 0.7127 |
| No log | 5.9524 | 250 | 0.6265 | 0.3929 | 0.6265 | 0.7915 |
| No log | 6.0 | 252 | 0.6251 | 0.3929 | 0.6251 | 0.7906 |
| No log | 6.0476 | 254 | 0.5179 | 0.48 | 0.5179 | 0.7197 |
| No log | 6.0952 | 256 | 0.4678 | 0.5862 | 0.4678 | 0.6840 |
| No log | 6.1429 | 258 | 0.4856 | 0.4595 | 0.4856 | 0.6968 |
| No log | 6.1905 | 260 | 0.4671 | 0.6 | 0.4671 | 0.6834 |
| No log | 6.2381 | 262 | 0.5270 | 0.4343 | 0.5270 | 0.7259 |
| No log | 6.2857 | 264 | 0.5272 | 0.3990 | 0.5272 | 0.7261 |
| No log | 6.3333 | 266 | 0.4739 | 0.5468 | 0.4739 | 0.6884 |
| No log | 6.3810 | 268 | 0.4734 | 0.5468 | 0.4734 | 0.6880 |
| No log | 6.4286 | 270 | 0.4828 | 0.4924 | 0.4828 | 0.6949 |
| No log | 6.4762 | 272 | 0.5298 | 0.3814 | 0.5298 | 0.7279 |
| No log | 6.5238 | 274 | 0.5028 | 0.3939 | 0.5028 | 0.7091 |
| No log | 6.5714 | 276 | 0.4934 | 0.4694 | 0.4934 | 0.7024 |
| No log | 6.6190 | 278 | 0.5195 | 0.4400 | 0.5195 | 0.7208 |
| No log | 6.6667 | 280 | 0.5064 | 0.4518 | 0.5064 | 0.7116 |
| No log | 6.7143 | 282 | 0.4833 | 0.4409 | 0.4833 | 0.6952 |
| No log | 6.7619 | 284 | 0.5024 | 0.4545 | 0.5024 | 0.7088 |
| No log | 6.8095 | 286 | 0.4932 | 0.4413 | 0.4932 | 0.7023 |
| No log | 6.8571 | 288 | 0.4790 | 0.4595 | 0.4790 | 0.6921 |
| No log | 6.9048 | 290 | 0.5273 | 0.3333 | 0.5273 | 0.7262 |
| No log | 6.9524 | 292 | 0.5503 | 0.3224 | 0.5503 | 0.7418 |
| No log | 7.0 | 294 | 0.5261 | 0.3446 | 0.5261 | 0.7253 |
| No log | 7.0476 | 296 | 0.4971 | 0.3966 | 0.4971 | 0.7051 |
| No log | 7.0952 | 298 | 0.4771 | 0.4033 | 0.4771 | 0.6907 |
| No log | 7.1429 | 300 | 0.4783 | 0.4894 | 0.4783 | 0.6916 |
| No log | 7.1905 | 302 | 0.4816 | 0.3966 | 0.4816 | 0.6940 |
| No log | 7.2381 | 304 | 0.5055 | 0.4152 | 0.5055 | 0.7110 |
| No log | 7.2857 | 306 | 0.5531 | 0.2889 | 0.5531 | 0.7437 |
| No log | 7.3333 | 308 | 0.5329 | 0.2889 | 0.5329 | 0.7300 |
| No log | 7.3810 | 310 | 0.5029 | 0.5152 | 0.5029 | 0.7091 |
| No log | 7.4286 | 312 | 0.5001 | 0.3966 | 0.5001 | 0.7072 |
| No log | 7.4762 | 314 | 0.5268 | 0.3829 | 0.5268 | 0.7258 |
| No log | 7.5238 | 316 | 0.5201 | 0.4091 | 0.5201 | 0.7212 |
| No log | 7.5714 | 318 | 0.5046 | 0.4468 | 0.5046 | 0.7104 |
| No log | 7.6190 | 320 | 0.5269 | 0.4639 | 0.5269 | 0.7259 |
| No log | 7.6667 | 322 | 0.5395 | 0.4231 | 0.5395 | 0.7345 |
| No log | 7.7143 | 324 | 0.5139 | 0.4694 | 0.5139 | 0.7169 |
| No log | 7.7619 | 326 | 0.5107 | 0.4526 | 0.5107 | 0.7146 |
| No log | 7.8095 | 328 | 0.5241 | 0.4033 | 0.5241 | 0.7240 |
| No log | 7.8571 | 330 | 0.5342 | 0.4033 | 0.5342 | 0.7309 |
| No log | 7.9048 | 332 | 0.5189 | 0.4348 | 0.5189 | 0.7204 |
| No log | 7.9524 | 334 | 0.5149 | 0.5468 | 0.5149 | 0.7176 |
| No log | 8.0 | 336 | 0.5479 | 0.3892 | 0.5479 | 0.7402 |
| No log | 8.0476 | 338 | 0.5528 | 0.3892 | 0.5528 | 0.7435 |
| No log | 8.0952 | 340 | 0.5493 | 0.4 | 0.5493 | 0.7412 |
| No log | 8.1429 | 342 | 0.5272 | 0.4955 | 0.5272 | 0.7261 |
| No log | 8.1905 | 344 | 0.5479 | 0.4033 | 0.5479 | 0.7402 |
| No log | 8.2381 | 346 | 0.6348 | 0.2563 | 0.6348 | 0.7968 |
| No log | 8.2857 | 348 | 0.6662 | 0.2536 | 0.6662 | 0.8162 |
| No log | 8.3333 | 350 | 0.6264 | 0.2990 | 0.6264 | 0.7914 |
| No log | 8.3810 | 352 | 0.5644 | 0.3617 | 0.5644 | 0.7512 |
| No log | 8.4286 | 354 | 0.5359 | 0.4975 | 0.5359 | 0.7321 |
| No log | 8.4762 | 356 | 0.5633 | 0.3398 | 0.5633 | 0.7505 |
| No log | 8.5238 | 358 | 0.5968 | 0.3237 | 0.5968 | 0.7725 |
| No log | 8.5714 | 360 | 0.5892 | 0.3333 | 0.5892 | 0.7676 |
| No log | 8.6190 | 362 | 0.5549 | 0.3892 | 0.5549 | 0.7449 |
| No log | 8.6667 | 364 | 0.5248 | 0.4033 | 0.5248 | 0.7244 |
| No log | 8.7143 | 366 | 0.5219 | 0.3708 | 0.5219 | 0.7224 |
| No log | 8.7619 | 368 | 0.5285 | 0.3708 | 0.5285 | 0.7270 |
| No log | 8.8095 | 370 | 0.5329 | 0.3708 | 0.5329 | 0.7300 |
| No log | 8.8571 | 372 | 0.5299 | 0.3708 | 0.5299 | 0.7280 |
| No log | 8.9048 | 374 | 0.5288 | 0.3708 | 0.5288 | 0.7272 |
| No log | 8.9524 | 376 | 0.5129 | 0.3708 | 0.5129 | 0.7162 |
| No log | 9.0 | 378 | 0.4988 | 0.4652 | 0.4988 | 0.7063 |
| No log | 9.0476 | 380 | 0.4968 | 0.4639 | 0.4968 | 0.7048 |
| No log | 9.0952 | 382 | 0.4953 | 0.4652 | 0.4953 | 0.7038 |
| No log | 9.1429 | 384 | 0.4952 | 0.4819 | 0.4952 | 0.7037 |
| No log | 9.1905 | 386 | 0.4920 | 0.5330 | 0.4920 | 0.7014 |
| No log | 9.2381 | 388 | 0.4920 | 0.4725 | 0.4920 | 0.7014 |
| No log | 9.2857 | 390 | 0.4939 | 0.4348 | 0.4939 | 0.7028 |
| No log | 9.3333 | 392 | 0.4987 | 0.4348 | 0.4987 | 0.7062 |
| No log | 9.3810 | 394 | 0.5082 | 0.3708 | 0.5082 | 0.7129 |
| No log | 9.4286 | 396 | 0.5181 | 0.3708 | 0.5181 | 0.7198 |
| No log | 9.4762 | 398 | 0.5209 | 0.3708 | 0.5209 | 0.7218 |
| No log | 9.5238 | 400 | 0.5218 | 0.3708 | 0.5218 | 0.7223 |
| No log | 9.5714 | 402 | 0.5165 | 0.4033 | 0.5165 | 0.7187 |
| No log | 9.6190 | 404 | 0.5087 | 0.4033 | 0.5087 | 0.7133 |
| No log | 9.6667 | 406 | 0.5037 | 0.4652 | 0.5037 | 0.7097 |
| No log | 9.7143 | 408 | 0.5013 | 0.4725 | 0.5013 | 0.7080 |
| No log | 9.7619 | 410 | 0.5006 | 0.4725 | 0.5006 | 0.7075 |
| No log | 9.8095 | 412 | 0.5006 | 0.5459 | 0.5006 | 0.7075 |
| No log | 9.8571 | 414 | 0.5007 | 0.5459 | 0.5007 | 0.7076 |
| No log | 9.9048 | 416 | 0.5008 | 0.5459 | 0.5008 | 0.7077 |
| No log | 9.9524 | 418 | 0.5009 | 0.5459 | 0.5009 | 0.7077 |
| No log | 10.0 | 420 | 0.5009 | 0.5459 | 0.5009 | 0.7077 |
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/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run2_AugV5_k8_task3_organization
Base model
aubmindlab/bert-base-arabertv02