Training in progress, step 500
Browse files- README.md +327 -0
- config.json +32 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
+
library_name: transformers
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base_model: aubmindlab/bert-base-arabertv02
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tags:
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- generated_from_trainer
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model-index:
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| 7 |
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- name: ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k13_task2_organization
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results: []
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| 9 |
+
---
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| 10 |
+
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| 11 |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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| 13 |
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| 14 |
+
# ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k13_task2_organization
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| 16 |
+
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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It achieves the following results on the evaluation set:
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| 18 |
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- Loss: 0.8956
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- Qwk: 0.3243
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- Mse: 0.8956
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- Rmse: 0.9464
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 100
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### Training results
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| 49 |
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| 50 |
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| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
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| 51 |
+
|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:------:|
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| 52 |
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| No log | 0.0290 | 2 | 4.7607 | 0.0010 | 4.7607 | 2.1819 |
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| 53 |
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| No log | 0.0580 | 4 | 2.8285 | -0.0140 | 2.8285 | 1.6818 |
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| 54 |
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| No log | 0.0870 | 6 | 2.4053 | -0.0586 | 2.4053 | 1.5509 |
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| 55 |
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| No log | 0.1159 | 8 | 2.0279 | -0.0233 | 2.0279 | 1.4241 |
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| 56 |
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| No log | 0.1449 | 10 | 1.2468 | 0.1113 | 1.2468 | 1.1166 |
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| 57 |
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| No log | 0.1739 | 12 | 1.1872 | 0.1278 | 1.1872 | 1.0896 |
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| 58 |
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| No log | 0.2029 | 14 | 1.2824 | 0.0414 | 1.2824 | 1.1324 |
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| 59 |
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| No log | 0.2319 | 16 | 1.7128 | 0.0800 | 1.7128 | 1.3088 |
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| 60 |
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| No log | 0.2609 | 18 | 2.0344 | -0.0329 | 2.0344 | 1.4263 |
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| 61 |
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| No log | 0.2899 | 20 | 1.8209 | -0.0056 | 1.8209 | 1.3494 |
|
| 62 |
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| No log | 0.3188 | 22 | 1.3645 | 0.1328 | 1.3645 | 1.1681 |
|
| 63 |
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| No log | 0.3478 | 24 | 1.2135 | 0.0571 | 1.2135 | 1.1016 |
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| 64 |
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| No log | 0.3768 | 26 | 1.2184 | 0.0771 | 1.2184 | 1.1038 |
|
| 65 |
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| No log | 0.4058 | 28 | 1.2310 | 0.0700 | 1.2310 | 1.1095 |
|
| 66 |
+
| No log | 0.4348 | 30 | 1.2650 | 0.1407 | 1.2650 | 1.1247 |
|
| 67 |
+
| No log | 0.4638 | 32 | 1.4134 | -0.0478 | 1.4134 | 1.1889 |
|
| 68 |
+
| No log | 0.4928 | 34 | 1.7308 | -0.0149 | 1.7308 | 1.3156 |
|
| 69 |
+
| No log | 0.5217 | 36 | 1.7938 | -0.0149 | 1.7938 | 1.3393 |
|
| 70 |
+
| No log | 0.5507 | 38 | 1.6445 | -0.0149 | 1.6445 | 1.2824 |
|
| 71 |
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| No log | 0.5797 | 40 | 1.3834 | -0.0300 | 1.3834 | 1.1762 |
|
| 72 |
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| No log | 0.6087 | 42 | 1.3220 | 0.0339 | 1.3220 | 1.1498 |
|
| 73 |
+
| No log | 0.6377 | 44 | 1.2841 | 0.1827 | 1.2841 | 1.1332 |
|
| 74 |
+
| No log | 0.6667 | 46 | 1.2250 | 0.0979 | 1.2250 | 1.1068 |
|
| 75 |
+
| No log | 0.6957 | 48 | 1.2127 | 0.1570 | 1.2127 | 1.1012 |
|
| 76 |
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| No log | 0.7246 | 50 | 1.2186 | 0.1370 | 1.2186 | 1.1039 |
|
| 77 |
+
| No log | 0.7536 | 52 | 1.2021 | 0.1109 | 1.2021 | 1.0964 |
|
| 78 |
+
| No log | 0.7826 | 54 | 1.2031 | 0.1335 | 1.2031 | 1.0969 |
|
| 79 |
+
| No log | 0.8116 | 56 | 1.2084 | 0.2124 | 1.2084 | 1.0993 |
|
| 80 |
+
| No log | 0.8406 | 58 | 1.2694 | 0.1472 | 1.2694 | 1.1267 |
|
| 81 |
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| No log | 0.8696 | 60 | 1.2556 | 0.1438 | 1.2556 | 1.1205 |
|
| 82 |
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| No log | 0.8986 | 62 | 1.2124 | 0.2640 | 1.2124 | 1.1011 |
|
| 83 |
+
| No log | 0.9275 | 64 | 1.1949 | 0.3431 | 1.1949 | 1.0931 |
|
| 84 |
+
| No log | 0.9565 | 66 | 1.2473 | 0.1136 | 1.2473 | 1.1168 |
|
| 85 |
+
| No log | 0.9855 | 68 | 1.2373 | 0.1472 | 1.2373 | 1.1123 |
|
| 86 |
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| No log | 1.0145 | 70 | 1.2641 | 0.1379 | 1.2641 | 1.1243 |
|
| 87 |
+
| No log | 1.0435 | 72 | 1.3004 | 0.1530 | 1.3004 | 1.1403 |
|
| 88 |
+
| No log | 1.0725 | 74 | 1.3691 | 0.0776 | 1.3691 | 1.1701 |
|
| 89 |
+
| No log | 1.1014 | 76 | 1.2826 | 0.1530 | 1.2826 | 1.1325 |
|
| 90 |
+
| No log | 1.1304 | 78 | 1.1783 | 0.1266 | 1.1783 | 1.0855 |
|
| 91 |
+
| No log | 1.1594 | 80 | 1.1526 | 0.1397 | 1.1526 | 1.0736 |
|
| 92 |
+
| No log | 1.1884 | 82 | 1.1191 | 0.2079 | 1.1191 | 1.0579 |
|
| 93 |
+
| No log | 1.2174 | 84 | 1.1289 | 0.2752 | 1.1289 | 1.0625 |
|
| 94 |
+
| No log | 1.2464 | 86 | 1.1001 | 0.2439 | 1.1001 | 1.0489 |
|
| 95 |
+
| No log | 1.2754 | 88 | 1.5160 | 0.0858 | 1.5160 | 1.2312 |
|
| 96 |
+
| No log | 1.3043 | 90 | 2.2418 | 0.1298 | 2.2418 | 1.4973 |
|
| 97 |
+
| No log | 1.3333 | 92 | 2.4552 | 0.1257 | 2.4552 | 1.5669 |
|
| 98 |
+
| No log | 1.3623 | 94 | 2.2870 | 0.1417 | 2.2870 | 1.5123 |
|
| 99 |
+
| No log | 1.3913 | 96 | 1.9482 | 0.0844 | 1.9482 | 1.3958 |
|
| 100 |
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| No log | 1.4203 | 98 | 1.6126 | 0.1395 | 1.6126 | 1.2699 |
|
| 101 |
+
| No log | 1.4493 | 100 | 1.4523 | 0.1109 | 1.4523 | 1.2051 |
|
| 102 |
+
| No log | 1.4783 | 102 | 1.2206 | 0.1045 | 1.2206 | 1.1048 |
|
| 103 |
+
| No log | 1.5072 | 104 | 1.0651 | 0.3497 | 1.0651 | 1.0320 |
|
| 104 |
+
| No log | 1.5362 | 106 | 1.0518 | 0.2921 | 1.0518 | 1.0256 |
|
| 105 |
+
| No log | 1.5652 | 108 | 1.0573 | 0.3596 | 1.0573 | 1.0283 |
|
| 106 |
+
| No log | 1.5942 | 110 | 1.0892 | 0.2605 | 1.0892 | 1.0436 |
|
| 107 |
+
| No log | 1.6232 | 112 | 1.0880 | 0.2605 | 1.0880 | 1.0431 |
|
| 108 |
+
| No log | 1.6522 | 114 | 1.0441 | 0.3015 | 1.0441 | 1.0218 |
|
| 109 |
+
| No log | 1.6812 | 116 | 1.0387 | 0.2973 | 1.0387 | 1.0192 |
|
| 110 |
+
| No log | 1.7101 | 118 | 1.0727 | 0.3488 | 1.0727 | 1.0357 |
|
| 111 |
+
| No log | 1.7391 | 120 | 1.0565 | 0.3394 | 1.0565 | 1.0278 |
|
| 112 |
+
| No log | 1.7681 | 122 | 1.0438 | 0.3186 | 1.0438 | 1.0217 |
|
| 113 |
+
| No log | 1.7971 | 124 | 1.1187 | 0.2826 | 1.1187 | 1.0577 |
|
| 114 |
+
| No log | 1.8261 | 126 | 1.0742 | 0.3857 | 1.0742 | 1.0364 |
|
| 115 |
+
| No log | 1.8551 | 128 | 1.0530 | 0.3405 | 1.0530 | 1.0262 |
|
| 116 |
+
| No log | 1.8841 | 130 | 1.0615 | 0.2522 | 1.0615 | 1.0303 |
|
| 117 |
+
| No log | 1.9130 | 132 | 1.0671 | 0.1793 | 1.0671 | 1.0330 |
|
| 118 |
+
| No log | 1.9420 | 134 | 1.0981 | 0.2323 | 1.0981 | 1.0479 |
|
| 119 |
+
| No log | 1.9710 | 136 | 1.0870 | 0.1495 | 1.0870 | 1.0426 |
|
| 120 |
+
| No log | 2.0 | 138 | 1.0625 | 0.2486 | 1.0625 | 1.0308 |
|
| 121 |
+
| No log | 2.0290 | 140 | 1.1616 | 0.2953 | 1.1616 | 1.0778 |
|
| 122 |
+
| No log | 2.0580 | 142 | 1.2757 | 0.2837 | 1.2757 | 1.1295 |
|
| 123 |
+
| No log | 2.0870 | 144 | 1.2220 | 0.2570 | 1.2220 | 1.1054 |
|
| 124 |
+
| No log | 2.1159 | 146 | 1.1424 | 0.2448 | 1.1424 | 1.0688 |
|
| 125 |
+
| No log | 2.1449 | 148 | 1.1899 | 0.1579 | 1.1899 | 1.0908 |
|
| 126 |
+
| No log | 2.1739 | 150 | 1.2449 | 0.1761 | 1.2449 | 1.1157 |
|
| 127 |
+
| No log | 2.2029 | 152 | 1.1871 | 0.2199 | 1.1871 | 1.0895 |
|
| 128 |
+
| No log | 2.2319 | 154 | 1.2411 | 0.2273 | 1.2411 | 1.1140 |
|
| 129 |
+
| No log | 2.2609 | 156 | 1.1858 | 0.2001 | 1.1858 | 1.0889 |
|
| 130 |
+
| No log | 2.2899 | 158 | 1.1664 | 0.2061 | 1.1664 | 1.0800 |
|
| 131 |
+
| No log | 2.3188 | 160 | 1.2772 | 0.2743 | 1.2772 | 1.1301 |
|
| 132 |
+
| No log | 2.3478 | 162 | 1.2680 | 0.2154 | 1.2680 | 1.1261 |
|
| 133 |
+
| No log | 2.3768 | 164 | 1.3124 | 0.0324 | 1.3124 | 1.1456 |
|
| 134 |
+
| No log | 2.4058 | 166 | 1.2881 | 0.1706 | 1.2881 | 1.1349 |
|
| 135 |
+
| No log | 2.4348 | 168 | 1.3298 | 0.1316 | 1.3298 | 1.1532 |
|
| 136 |
+
| No log | 2.4638 | 170 | 1.3042 | 0.1637 | 1.3042 | 1.1420 |
|
| 137 |
+
| No log | 2.4928 | 172 | 1.1637 | 0.1249 | 1.1637 | 1.0788 |
|
| 138 |
+
| No log | 2.5217 | 174 | 1.1146 | 0.1685 | 1.1146 | 1.0558 |
|
| 139 |
+
| No log | 2.5507 | 176 | 1.0708 | 0.2117 | 1.0708 | 1.0348 |
|
| 140 |
+
| No log | 2.5797 | 178 | 1.0520 | 0.2917 | 1.0520 | 1.0257 |
|
| 141 |
+
| No log | 2.6087 | 180 | 1.0194 | 0.3478 | 1.0194 | 1.0096 |
|
| 142 |
+
| No log | 2.6377 | 182 | 1.0313 | 0.2965 | 1.0313 | 1.0155 |
|
| 143 |
+
| No log | 2.6667 | 184 | 1.1415 | 0.3152 | 1.1415 | 1.0684 |
|
| 144 |
+
| No log | 2.6957 | 186 | 1.1166 | 0.2372 | 1.1166 | 1.0567 |
|
| 145 |
+
| No log | 2.7246 | 188 | 1.0718 | 0.2893 | 1.0718 | 1.0353 |
|
| 146 |
+
| No log | 2.7536 | 190 | 1.2480 | 0.2046 | 1.2480 | 1.1172 |
|
| 147 |
+
| No log | 2.7826 | 192 | 1.5400 | 0.2521 | 1.5400 | 1.2410 |
|
| 148 |
+
| No log | 2.8116 | 194 | 1.4287 | 0.2947 | 1.4287 | 1.1953 |
|
| 149 |
+
| No log | 2.8406 | 196 | 1.1192 | 0.2623 | 1.1192 | 1.0579 |
|
| 150 |
+
| No log | 2.8696 | 198 | 1.0862 | 0.2476 | 1.0862 | 1.0422 |
|
| 151 |
+
| No log | 2.8986 | 200 | 1.1361 | 0.2380 | 1.1361 | 1.0659 |
|
| 152 |
+
| No log | 2.9275 | 202 | 1.0357 | 0.3179 | 1.0357 | 1.0177 |
|
| 153 |
+
| No log | 2.9565 | 204 | 1.0499 | 0.4519 | 1.0499 | 1.0247 |
|
| 154 |
+
| No log | 2.9855 | 206 | 1.1459 | 0.4048 | 1.1459 | 1.0705 |
|
| 155 |
+
| No log | 3.0145 | 208 | 1.0606 | 0.4924 | 1.0606 | 1.0299 |
|
| 156 |
+
| No log | 3.0435 | 210 | 1.0682 | 0.4986 | 1.0682 | 1.0335 |
|
| 157 |
+
| No log | 3.0725 | 212 | 1.0640 | 0.4986 | 1.0640 | 1.0315 |
|
| 158 |
+
| No log | 3.1014 | 214 | 1.0180 | 0.4826 | 1.0180 | 1.0090 |
|
| 159 |
+
| No log | 3.1304 | 216 | 0.9791 | 0.4398 | 0.9791 | 0.9895 |
|
| 160 |
+
| No log | 3.1594 | 218 | 0.9636 | 0.3418 | 0.9636 | 0.9816 |
|
| 161 |
+
| No log | 3.1884 | 220 | 0.9579 | 0.3854 | 0.9579 | 0.9787 |
|
| 162 |
+
| No log | 3.2174 | 222 | 0.9729 | 0.3720 | 0.9729 | 0.9864 |
|
| 163 |
+
| No log | 3.2464 | 224 | 1.0259 | 0.3897 | 1.0259 | 1.0129 |
|
| 164 |
+
| No log | 3.2754 | 226 | 1.0143 | 0.4028 | 1.0143 | 1.0071 |
|
| 165 |
+
| No log | 3.3043 | 228 | 0.9307 | 0.3854 | 0.9307 | 0.9647 |
|
| 166 |
+
| No log | 3.3333 | 230 | 0.9870 | 0.3110 | 0.9870 | 0.9935 |
|
| 167 |
+
| No log | 3.3623 | 232 | 1.0668 | 0.3056 | 1.0668 | 1.0328 |
|
| 168 |
+
| No log | 3.3913 | 234 | 0.9838 | 0.3602 | 0.9838 | 0.9918 |
|
| 169 |
+
| No log | 3.4203 | 236 | 0.9037 | 0.3896 | 0.9037 | 0.9506 |
|
| 170 |
+
| No log | 3.4493 | 238 | 0.9677 | 0.4568 | 0.9677 | 0.9837 |
|
| 171 |
+
| No log | 3.4783 | 240 | 0.9574 | 0.4476 | 0.9574 | 0.9785 |
|
| 172 |
+
| No log | 3.5072 | 242 | 0.9393 | 0.3641 | 0.9393 | 0.9692 |
|
| 173 |
+
| No log | 3.5362 | 244 | 0.9574 | 0.2864 | 0.9574 | 0.9784 |
|
| 174 |
+
| No log | 3.5652 | 246 | 0.9483 | 0.3629 | 0.9483 | 0.9738 |
|
| 175 |
+
| No log | 3.5942 | 248 | 0.9728 | 0.4059 | 0.9728 | 0.9863 |
|
| 176 |
+
| No log | 3.6232 | 250 | 0.9850 | 0.3278 | 0.9850 | 0.9925 |
|
| 177 |
+
| No log | 3.6522 | 252 | 0.9950 | 0.3383 | 0.9950 | 0.9975 |
|
| 178 |
+
| No log | 3.6812 | 254 | 1.0111 | 0.2812 | 1.0111 | 1.0055 |
|
| 179 |
+
| No log | 3.7101 | 256 | 1.0400 | 0.3202 | 1.0400 | 1.0198 |
|
| 180 |
+
| No log | 3.7391 | 258 | 1.0701 | 0.2998 | 1.0701 | 1.0345 |
|
| 181 |
+
| No log | 3.7681 | 260 | 1.0727 | 0.3263 | 1.0727 | 1.0357 |
|
| 182 |
+
| No log | 3.7971 | 262 | 1.1209 | 0.3647 | 1.1209 | 1.0587 |
|
| 183 |
+
| No log | 3.8261 | 264 | 1.1999 | 0.4186 | 1.1999 | 1.0954 |
|
| 184 |
+
| No log | 3.8551 | 266 | 1.3750 | 0.3449 | 1.3750 | 1.1726 |
|
| 185 |
+
| No log | 3.8841 | 268 | 1.4418 | 0.3541 | 1.4418 | 1.2007 |
|
| 186 |
+
| No log | 3.9130 | 270 | 1.3385 | 0.4010 | 1.3385 | 1.1569 |
|
| 187 |
+
| No log | 3.9420 | 272 | 1.1344 | 0.4186 | 1.1344 | 1.0651 |
|
| 188 |
+
| No log | 3.9710 | 274 | 1.0099 | 0.3866 | 1.0099 | 1.0049 |
|
| 189 |
+
| No log | 4.0 | 276 | 1.0131 | 0.3318 | 1.0131 | 1.0065 |
|
| 190 |
+
| No log | 4.0290 | 278 | 1.0656 | 0.3540 | 1.0656 | 1.0323 |
|
| 191 |
+
| No log | 4.0580 | 280 | 1.0861 | 0.3540 | 1.0861 | 1.0422 |
|
| 192 |
+
| No log | 4.0870 | 282 | 1.1390 | 0.4186 | 1.1390 | 1.0673 |
|
| 193 |
+
| No log | 4.1159 | 284 | 1.1262 | 0.4186 | 1.1262 | 1.0612 |
|
| 194 |
+
| No log | 4.1449 | 286 | 1.0343 | 0.3518 | 1.0343 | 1.0170 |
|
| 195 |
+
| No log | 4.1739 | 288 | 0.9972 | 0.3643 | 0.9972 | 0.9986 |
|
| 196 |
+
| No log | 4.2029 | 290 | 1.0081 | 0.3729 | 1.0081 | 1.0040 |
|
| 197 |
+
| No log | 4.2319 | 292 | 1.0896 | 0.3657 | 1.0896 | 1.0438 |
|
| 198 |
+
| No log | 4.2609 | 294 | 1.0946 | 0.4096 | 1.0946 | 1.0462 |
|
| 199 |
+
| No log | 4.2899 | 296 | 0.9811 | 0.3771 | 0.9811 | 0.9905 |
|
| 200 |
+
| No log | 4.3188 | 298 | 0.9845 | 0.2941 | 0.9845 | 0.9922 |
|
| 201 |
+
| No log | 4.3478 | 300 | 0.9867 | 0.2941 | 0.9867 | 0.9933 |
|
| 202 |
+
| No log | 4.3768 | 302 | 0.9870 | 0.2364 | 0.9870 | 0.9935 |
|
| 203 |
+
| No log | 4.4058 | 304 | 0.9751 | 0.3762 | 0.9751 | 0.9875 |
|
| 204 |
+
| No log | 4.4348 | 306 | 1.0293 | 0.4065 | 1.0293 | 1.0145 |
|
| 205 |
+
| No log | 4.4638 | 308 | 1.0085 | 0.4062 | 1.0085 | 1.0042 |
|
| 206 |
+
| No log | 4.4928 | 310 | 1.0061 | 0.4062 | 1.0061 | 1.0030 |
|
| 207 |
+
| No log | 4.5217 | 312 | 1.0253 | 0.3777 | 1.0253 | 1.0126 |
|
| 208 |
+
| No log | 4.5507 | 314 | 1.0420 | 0.3590 | 1.0420 | 1.0208 |
|
| 209 |
+
| No log | 4.5797 | 316 | 1.0758 | 0.3196 | 1.0758 | 1.0372 |
|
| 210 |
+
| No log | 4.6087 | 318 | 1.1391 | 0.3474 | 1.1391 | 1.0673 |
|
| 211 |
+
| No log | 4.6377 | 320 | 1.1945 | 0.3528 | 1.1945 | 1.0929 |
|
| 212 |
+
| No log | 4.6667 | 322 | 1.2194 | 0.3148 | 1.2194 | 1.1043 |
|
| 213 |
+
| No log | 4.6957 | 324 | 1.1883 | 0.3540 | 1.1883 | 1.0901 |
|
| 214 |
+
| No log | 4.7246 | 326 | 1.0794 | 0.4354 | 1.0794 | 1.0390 |
|
| 215 |
+
| No log | 4.7536 | 328 | 1.0791 | 0.4129 | 1.0791 | 1.0388 |
|
| 216 |
+
| No log | 4.7826 | 330 | 1.1650 | 0.3755 | 1.1650 | 1.0794 |
|
| 217 |
+
| No log | 4.8116 | 332 | 1.2404 | 0.3863 | 1.2404 | 1.1137 |
|
| 218 |
+
| No log | 4.8406 | 334 | 1.1511 | 0.3958 | 1.1511 | 1.0729 |
|
| 219 |
+
| No log | 4.8696 | 336 | 1.0460 | 0.3073 | 1.0460 | 1.0227 |
|
| 220 |
+
| No log | 4.8986 | 338 | 1.0631 | 0.2894 | 1.0631 | 1.0311 |
|
| 221 |
+
| No log | 4.9275 | 340 | 1.0357 | 0.3202 | 1.0357 | 1.0177 |
|
| 222 |
+
| No log | 4.9565 | 342 | 1.0054 | 0.2658 | 1.0054 | 1.0027 |
|
| 223 |
+
| No log | 4.9855 | 344 | 0.9858 | 0.2658 | 0.9858 | 0.9929 |
|
| 224 |
+
| No log | 5.0145 | 346 | 0.9589 | 0.3223 | 0.9589 | 0.9792 |
|
| 225 |
+
| No log | 5.0435 | 348 | 0.9356 | 0.3119 | 0.9356 | 0.9672 |
|
| 226 |
+
| No log | 5.0725 | 350 | 0.9251 | 0.3119 | 0.9251 | 0.9618 |
|
| 227 |
+
| No log | 5.1014 | 352 | 0.9167 | 0.3119 | 0.9167 | 0.9574 |
|
| 228 |
+
| No log | 5.1304 | 354 | 0.9110 | 0.3421 | 0.9110 | 0.9545 |
|
| 229 |
+
| No log | 5.1594 | 356 | 0.8973 | 0.3421 | 0.8973 | 0.9472 |
|
| 230 |
+
| No log | 5.1884 | 358 | 0.8751 | 0.3119 | 0.8751 | 0.9355 |
|
| 231 |
+
| No log | 5.2174 | 360 | 0.8777 | 0.3017 | 0.8777 | 0.9368 |
|
| 232 |
+
| No log | 5.2464 | 362 | 0.8761 | 0.3804 | 0.8761 | 0.9360 |
|
| 233 |
+
| No log | 5.2754 | 364 | 0.9242 | 0.4429 | 0.9242 | 0.9613 |
|
| 234 |
+
| No log | 5.3043 | 366 | 0.9219 | 0.4105 | 0.9219 | 0.9602 |
|
| 235 |
+
| No log | 5.3333 | 368 | 0.9103 | 0.3861 | 0.9103 | 0.9541 |
|
| 236 |
+
| No log | 5.3623 | 370 | 0.9512 | 0.3970 | 0.9512 | 0.9753 |
|
| 237 |
+
| No log | 5.3913 | 372 | 0.9702 | 0.4297 | 0.9702 | 0.9850 |
|
| 238 |
+
| No log | 5.4203 | 374 | 1.0207 | 0.4591 | 1.0207 | 1.0103 |
|
| 239 |
+
| No log | 5.4493 | 376 | 0.9832 | 0.4295 | 0.9832 | 0.9916 |
|
| 240 |
+
| No log | 5.4783 | 378 | 0.9356 | 0.3522 | 0.9356 | 0.9673 |
|
| 241 |
+
| No log | 5.5072 | 380 | 0.9386 | 0.3424 | 0.9386 | 0.9688 |
|
| 242 |
+
| No log | 5.5362 | 382 | 0.9778 | 0.3970 | 0.9778 | 0.9889 |
|
| 243 |
+
| No log | 5.5652 | 384 | 1.1905 | 0.4390 | 1.1905 | 1.0911 |
|
| 244 |
+
| No log | 5.5942 | 386 | 1.3485 | 0.3765 | 1.3485 | 1.1613 |
|
| 245 |
+
| No log | 5.6232 | 388 | 1.3217 | 0.3621 | 1.3217 | 1.1497 |
|
| 246 |
+
| No log | 5.6522 | 390 | 1.1887 | 0.2826 | 1.1887 | 1.0903 |
|
| 247 |
+
| No log | 5.6812 | 392 | 1.1260 | 0.3657 | 1.1260 | 1.0611 |
|
| 248 |
+
| No log | 5.7101 | 394 | 1.0679 | 0.4257 | 1.0679 | 1.0334 |
|
| 249 |
+
| No log | 5.7391 | 396 | 1.0633 | 0.4468 | 1.0633 | 1.0312 |
|
| 250 |
+
| No log | 5.7681 | 398 | 1.0476 | 0.5190 | 1.0476 | 1.0235 |
|
| 251 |
+
| No log | 5.7971 | 400 | 0.9732 | 0.4382 | 0.9732 | 0.9865 |
|
| 252 |
+
| No log | 5.8261 | 402 | 0.9216 | 0.4429 | 0.9216 | 0.9600 |
|
| 253 |
+
| No log | 5.8551 | 404 | 0.9368 | 0.4622 | 0.9368 | 0.9679 |
|
| 254 |
+
| No log | 5.8841 | 406 | 1.0060 | 0.4257 | 1.0060 | 1.0030 |
|
| 255 |
+
| No log | 5.9130 | 408 | 1.0549 | 0.4130 | 1.0549 | 1.0271 |
|
| 256 |
+
| No log | 5.9420 | 410 | 1.0562 | 0.4130 | 1.0562 | 1.0277 |
|
| 257 |
+
| No log | 5.9710 | 412 | 1.0207 | 0.4484 | 1.0207 | 1.0103 |
|
| 258 |
+
| No log | 6.0 | 414 | 0.9874 | 0.4261 | 0.9874 | 0.9937 |
|
| 259 |
+
| No log | 6.0290 | 416 | 1.0001 | 0.4261 | 1.0001 | 1.0000 |
|
| 260 |
+
| No log | 6.0580 | 418 | 1.1090 | 0.4430 | 1.1090 | 1.0531 |
|
| 261 |
+
| No log | 6.0870 | 420 | 1.1470 | 0.4633 | 1.1470 | 1.0710 |
|
| 262 |
+
| No log | 6.1159 | 422 | 1.0881 | 0.4468 | 1.0881 | 1.0431 |
|
| 263 |
+
| No log | 6.1449 | 424 | 1.0284 | 0.4261 | 1.0284 | 1.0141 |
|
| 264 |
+
| No log | 6.1739 | 426 | 1.0208 | 0.3687 | 1.0208 | 1.0103 |
|
| 265 |
+
| No log | 6.2029 | 428 | 1.0655 | 0.4262 | 1.0655 | 1.0322 |
|
| 266 |
+
| No log | 6.2319 | 430 | 1.1834 | 0.4007 | 1.1834 | 1.0879 |
|
| 267 |
+
| No log | 6.2609 | 432 | 1.2332 | 0.3676 | 1.2332 | 1.1105 |
|
| 268 |
+
| No log | 6.2899 | 434 | 1.2002 | 0.3438 | 1.2002 | 1.0955 |
|
| 269 |
+
| No log | 6.3188 | 436 | 1.0745 | 0.3645 | 1.0745 | 1.0366 |
|
| 270 |
+
| No log | 6.3478 | 438 | 0.9878 | 0.2944 | 0.9878 | 0.9939 |
|
| 271 |
+
| No log | 6.3768 | 440 | 1.0073 | 0.2965 | 1.0073 | 1.0036 |
|
| 272 |
+
| No log | 6.4058 | 442 | 1.0036 | 0.2562 | 1.0036 | 1.0018 |
|
| 273 |
+
| No log | 6.4348 | 444 | 1.0010 | 0.3418 | 1.0010 | 1.0005 |
|
| 274 |
+
| No log | 6.4638 | 446 | 1.1105 | 0.3785 | 1.1105 | 1.0538 |
|
| 275 |
+
| No log | 6.4928 | 448 | 1.2206 | 0.3440 | 1.2206 | 1.1048 |
|
| 276 |
+
| No log | 6.5217 | 450 | 1.3041 | 0.4457 | 1.3041 | 1.1420 |
|
| 277 |
+
| No log | 6.5507 | 452 | 1.2407 | 0.4069 | 1.2407 | 1.1139 |
|
| 278 |
+
| No log | 6.5797 | 454 | 1.0604 | 0.3996 | 1.0604 | 1.0298 |
|
| 279 |
+
| No log | 6.6087 | 456 | 0.9901 | 0.4021 | 0.9901 | 0.9950 |
|
| 280 |
+
| No log | 6.6377 | 458 | 0.9837 | 0.3250 | 0.9837 | 0.9918 |
|
| 281 |
+
| No log | 6.6667 | 460 | 0.9689 | 0.3250 | 0.9689 | 0.9843 |
|
| 282 |
+
| No log | 6.6957 | 462 | 0.9731 | 0.4021 | 0.9731 | 0.9864 |
|
| 283 |
+
| No log | 6.7246 | 464 | 0.9616 | 0.3666 | 0.9616 | 0.9806 |
|
| 284 |
+
| No log | 6.7536 | 466 | 0.9392 | 0.3666 | 0.9392 | 0.9691 |
|
| 285 |
+
| No log | 6.7826 | 468 | 0.9212 | 0.2743 | 0.9212 | 0.9598 |
|
| 286 |
+
| No log | 6.8116 | 470 | 0.9212 | 0.2515 | 0.9212 | 0.9598 |
|
| 287 |
+
| No log | 6.8406 | 472 | 0.9239 | 0.3039 | 0.9239 | 0.9612 |
|
| 288 |
+
| No log | 6.8696 | 474 | 0.9444 | 0.2843 | 0.9444 | 0.9718 |
|
| 289 |
+
| No log | 6.8986 | 476 | 0.9248 | 0.2991 | 0.9248 | 0.9617 |
|
| 290 |
+
| No log | 6.9275 | 478 | 0.9312 | 0.3753 | 0.9312 | 0.9650 |
|
| 291 |
+
| No log | 6.9565 | 480 | 0.9394 | 0.3744 | 0.9394 | 0.9692 |
|
| 292 |
+
| No log | 6.9855 | 482 | 0.9398 | 0.3223 | 0.9398 | 0.9694 |
|
| 293 |
+
| No log | 7.0145 | 484 | 0.9602 | 0.3326 | 0.9602 | 0.9799 |
|
| 294 |
+
| No log | 7.0435 | 486 | 0.9929 | 0.3298 | 0.9929 | 0.9964 |
|
| 295 |
+
| No log | 7.0725 | 488 | 1.0202 | 0.3250 | 1.0202 | 1.0100 |
|
| 296 |
+
| No log | 7.1014 | 490 | 1.0475 | 0.2843 | 1.0475 | 1.0235 |
|
| 297 |
+
| No log | 7.1304 | 492 | 1.0601 | 0.3885 | 1.0601 | 1.0296 |
|
| 298 |
+
| No log | 7.1594 | 494 | 1.0520 | 0.4264 | 1.0520 | 1.0257 |
|
| 299 |
+
| No log | 7.1884 | 496 | 1.0224 | 0.4402 | 1.0224 | 1.0111 |
|
| 300 |
+
| No log | 7.2174 | 498 | 1.0075 | 0.4302 | 1.0075 | 1.0037 |
|
| 301 |
+
| 0.4282 | 7.2464 | 500 | 1.0417 | 0.4402 | 1.0417 | 1.0206 |
|
| 302 |
+
| 0.4282 | 7.2754 | 502 | 1.0546 | 0.4165 | 1.0546 | 1.0270 |
|
| 303 |
+
| 0.4282 | 7.3043 | 504 | 0.9900 | 0.4676 | 0.9900 | 0.9950 |
|
| 304 |
+
| 0.4282 | 7.3333 | 506 | 0.9462 | 0.4343 | 0.9462 | 0.9727 |
|
| 305 |
+
| 0.4282 | 7.3623 | 508 | 0.9407 | 0.4343 | 0.9407 | 0.9699 |
|
| 306 |
+
| 0.4282 | 7.3913 | 510 | 0.9688 | 0.4676 | 0.9688 | 0.9843 |
|
| 307 |
+
| 0.4282 | 7.4203 | 512 | 1.0183 | 0.4814 | 1.0183 | 1.0091 |
|
| 308 |
+
| 0.4282 | 7.4493 | 514 | 1.0876 | 0.4222 | 1.0876 | 1.0429 |
|
| 309 |
+
| 0.4282 | 7.4783 | 516 | 1.0669 | 0.3870 | 1.0669 | 1.0329 |
|
| 310 |
+
| 0.4282 | 7.5072 | 518 | 0.9761 | 0.4777 | 0.9761 | 0.9880 |
|
| 311 |
+
| 0.4282 | 7.5362 | 520 | 0.9401 | 0.4340 | 0.9401 | 0.9696 |
|
| 312 |
+
| 0.4282 | 7.5652 | 522 | 0.9614 | 0.4331 | 0.9614 | 0.9805 |
|
| 313 |
+
| 0.4282 | 7.5942 | 524 | 1.0239 | 0.4803 | 1.0239 | 1.0119 |
|
| 314 |
+
| 0.4282 | 7.6232 | 526 | 0.9753 | 0.4546 | 0.9753 | 0.9876 |
|
| 315 |
+
| 0.4282 | 7.6522 | 528 | 0.9234 | 0.4002 | 0.9234 | 0.9610 |
|
| 316 |
+
| 0.4282 | 7.6812 | 530 | 0.9071 | 0.3243 | 0.9071 | 0.9524 |
|
| 317 |
+
| 0.4282 | 7.7101 | 532 | 0.9121 | 0.3508 | 0.9121 | 0.9550 |
|
| 318 |
+
| 0.4282 | 7.7391 | 534 | 0.9111 | 0.4002 | 0.9111 | 0.9545 |
|
| 319 |
+
| 0.4282 | 7.7681 | 536 | 0.8956 | 0.3243 | 0.8956 | 0.9464 |
|
| 320 |
+
|
| 321 |
+
|
| 322 |
+
### Framework versions
|
| 323 |
+
|
| 324 |
+
- Transformers 4.44.2
|
| 325 |
+
- Pytorch 2.4.0+cu118
|
| 326 |
+
- Datasets 2.21.0
|
| 327 |
+
- Tokenizers 0.19.1
|
config.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "aubmindlab/bert-base-arabertv02",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"BertForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"classifier_dropout": null,
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.1,
|
| 10 |
+
"hidden_size": 768,
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "LABEL_0"
|
| 13 |
+
},
|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"intermediate_size": 3072,
|
| 16 |
+
"label2id": {
|
| 17 |
+
"LABEL_0": 0
|
| 18 |
+
},
|
| 19 |
+
"layer_norm_eps": 1e-12,
|
| 20 |
+
"max_position_embeddings": 512,
|
| 21 |
+
"model_type": "bert",
|
| 22 |
+
"num_attention_heads": 12,
|
| 23 |
+
"num_hidden_layers": 12,
|
| 24 |
+
"pad_token_id": 0,
|
| 25 |
+
"position_embedding_type": "absolute",
|
| 26 |
+
"problem_type": "regression",
|
| 27 |
+
"torch_dtype": "float32",
|
| 28 |
+
"transformers_version": "4.44.2",
|
| 29 |
+
"type_vocab_size": 2,
|
| 30 |
+
"use_cache": true,
|
| 31 |
+
"vocab_size": 64000
|
| 32 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:028de4c0f1ff428c1be4ae48627dfc2c1027bd26fbc9521a452e0e0b75caf580
|
| 3 |
+
size 540799996
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:e1b7804f41c496bbacfded40d3600d12a2e70944169f70095f4c18eb2c716ac0
|
| 3 |
+
size 5368
|