Training in progress, step 500
Browse files- README.md +259 -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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- name: ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k1_task5_organization
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| 8 |
+
results: []
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| 9 |
+
---
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| 10 |
+
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| 11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 12 |
+
should probably proofread and complete it, then remove this comment. -->
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| 13 |
+
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| 14 |
+
# ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k1_task5_organization
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| 15 |
+
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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 |
+
- Loss: 1.1507
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| 19 |
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- Qwk: 0.3081
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| 20 |
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- Mse: 1.1507
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| 21 |
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- Rmse: 1.0727
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| 22 |
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| 23 |
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## Model description
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| 24 |
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| 25 |
+
More information needed
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| 26 |
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## Intended uses & limitations
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| 28 |
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| 29 |
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More information needed
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| 30 |
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| 31 |
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## Training and evaluation data
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| 32 |
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| 33 |
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More information needed
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| 34 |
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| 35 |
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## Training procedure
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| 36 |
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| 37 |
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### Training hyperparameters
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| 38 |
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| 39 |
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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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| 42 |
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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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| 45 |
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- lr_scheduler_type: linear
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| 46 |
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- num_epochs: 100
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| 47 |
+
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| 48 |
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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 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|
|
| 52 |
+
| No log | 0.5 | 2 | 3.8916 | -0.0150 | 3.8916 | 1.9727 |
|
| 53 |
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| No log | 1.0 | 4 | 2.2111 | 0.0175 | 2.2111 | 1.4870 |
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| 54 |
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| No log | 1.5 | 6 | 1.7125 | -0.0195 | 1.7125 | 1.3086 |
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| 55 |
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| No log | 2.0 | 8 | 1.2684 | 0.1752 | 1.2684 | 1.1262 |
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| 56 |
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| No log | 2.5 | 10 | 1.1453 | 0.1218 | 1.1453 | 1.0702 |
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| 57 |
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| No log | 3.0 | 12 | 1.1098 | 0.1589 | 1.1098 | 1.0535 |
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| 58 |
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| No log | 3.5 | 14 | 1.0547 | 0.1561 | 1.0547 | 1.0270 |
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| 59 |
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| No log | 4.0 | 16 | 1.0554 | 0.2716 | 1.0554 | 1.0273 |
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| 60 |
+
| No log | 4.5 | 18 | 1.1825 | 0.2409 | 1.1825 | 1.0874 |
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| 61 |
+
| No log | 5.0 | 20 | 1.0708 | 0.2811 | 1.0708 | 1.0348 |
|
| 62 |
+
| No log | 5.5 | 22 | 1.0919 | 0.1644 | 1.0919 | 1.0449 |
|
| 63 |
+
| No log | 6.0 | 24 | 1.1902 | 0.1436 | 1.1902 | 1.0909 |
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| 64 |
+
| No log | 6.5 | 26 | 1.1152 | 0.0892 | 1.1152 | 1.0560 |
|
| 65 |
+
| No log | 7.0 | 28 | 1.2677 | 0.1076 | 1.2677 | 1.1259 |
|
| 66 |
+
| No log | 7.5 | 30 | 1.3647 | 0.1737 | 1.3647 | 1.1682 |
|
| 67 |
+
| No log | 8.0 | 32 | 1.3864 | 0.1959 | 1.3864 | 1.1775 |
|
| 68 |
+
| No log | 8.5 | 34 | 1.5247 | 0.2232 | 1.5247 | 1.2348 |
|
| 69 |
+
| No log | 9.0 | 36 | 1.5434 | 0.2103 | 1.5434 | 1.2423 |
|
| 70 |
+
| No log | 9.5 | 38 | 1.5413 | 0.0685 | 1.5413 | 1.2415 |
|
| 71 |
+
| No log | 10.0 | 40 | 1.6099 | -0.0968 | 1.6099 | 1.2688 |
|
| 72 |
+
| No log | 10.5 | 42 | 1.4385 | 0.0846 | 1.4385 | 1.1994 |
|
| 73 |
+
| No log | 11.0 | 44 | 1.2139 | 0.1953 | 1.2139 | 1.1017 |
|
| 74 |
+
| No log | 11.5 | 46 | 1.1702 | 0.2147 | 1.1702 | 1.0818 |
|
| 75 |
+
| No log | 12.0 | 48 | 1.3245 | 0.3103 | 1.3245 | 1.1509 |
|
| 76 |
+
| No log | 12.5 | 50 | 1.5603 | 0.1674 | 1.5603 | 1.2491 |
|
| 77 |
+
| No log | 13.0 | 52 | 1.6433 | 0.1206 | 1.6433 | 1.2819 |
|
| 78 |
+
| No log | 13.5 | 54 | 1.3879 | 0.2204 | 1.3879 | 1.1781 |
|
| 79 |
+
| No log | 14.0 | 56 | 1.1420 | 0.2330 | 1.1420 | 1.0687 |
|
| 80 |
+
| No log | 14.5 | 58 | 1.1665 | 0.2199 | 1.1665 | 1.0801 |
|
| 81 |
+
| No log | 15.0 | 60 | 1.2962 | 0.1957 | 1.2962 | 1.1385 |
|
| 82 |
+
| No log | 15.5 | 62 | 1.2782 | 0.2344 | 1.2782 | 1.1306 |
|
| 83 |
+
| No log | 16.0 | 64 | 1.2957 | 0.3453 | 1.2957 | 1.1383 |
|
| 84 |
+
| No log | 16.5 | 66 | 1.2956 | 0.3176 | 1.2956 | 1.1383 |
|
| 85 |
+
| No log | 17.0 | 68 | 1.2458 | 0.2516 | 1.2458 | 1.1161 |
|
| 86 |
+
| No log | 17.5 | 70 | 1.2008 | 0.3361 | 1.2008 | 1.0958 |
|
| 87 |
+
| No log | 18.0 | 72 | 1.2871 | 0.2546 | 1.2871 | 1.1345 |
|
| 88 |
+
| No log | 18.5 | 74 | 1.1990 | 0.3293 | 1.1990 | 1.0950 |
|
| 89 |
+
| No log | 19.0 | 76 | 1.0836 | 0.2636 | 1.0836 | 1.0410 |
|
| 90 |
+
| No log | 19.5 | 78 | 1.1782 | 0.3590 | 1.1782 | 1.0855 |
|
| 91 |
+
| No log | 20.0 | 80 | 1.3914 | 0.2404 | 1.3914 | 1.1796 |
|
| 92 |
+
| No log | 20.5 | 82 | 1.3844 | 0.2355 | 1.3844 | 1.1766 |
|
| 93 |
+
| No log | 21.0 | 84 | 1.1471 | 0.4036 | 1.1471 | 1.0710 |
|
| 94 |
+
| No log | 21.5 | 86 | 1.0147 | 0.2019 | 1.0147 | 1.0073 |
|
| 95 |
+
| No log | 22.0 | 88 | 1.0566 | 0.2111 | 1.0566 | 1.0279 |
|
| 96 |
+
| No log | 22.5 | 90 | 1.2979 | 0.2381 | 1.2979 | 1.1393 |
|
| 97 |
+
| No log | 23.0 | 92 | 1.4701 | 0.1323 | 1.4701 | 1.2125 |
|
| 98 |
+
| No log | 23.5 | 94 | 1.3877 | 0.0583 | 1.3877 | 1.1780 |
|
| 99 |
+
| No log | 24.0 | 96 | 1.2039 | 0.2215 | 1.2039 | 1.0972 |
|
| 100 |
+
| No log | 24.5 | 98 | 1.1350 | 0.2678 | 1.1350 | 1.0654 |
|
| 101 |
+
| No log | 25.0 | 100 | 1.1050 | 0.3603 | 1.1050 | 1.0512 |
|
| 102 |
+
| No log | 25.5 | 102 | 1.1111 | 0.3374 | 1.1111 | 1.0541 |
|
| 103 |
+
| No log | 26.0 | 104 | 1.1415 | 0.3434 | 1.1415 | 1.0684 |
|
| 104 |
+
| No log | 26.5 | 106 | 1.1870 | 0.3286 | 1.1870 | 1.0895 |
|
| 105 |
+
| No log | 27.0 | 108 | 1.1654 | 0.3721 | 1.1654 | 1.0795 |
|
| 106 |
+
| No log | 27.5 | 110 | 1.0936 | 0.3539 | 1.0936 | 1.0457 |
|
| 107 |
+
| No log | 28.0 | 112 | 1.1017 | 0.3257 | 1.1017 | 1.0496 |
|
| 108 |
+
| No log | 28.5 | 114 | 1.1989 | 0.3677 | 1.1989 | 1.0950 |
|
| 109 |
+
| No log | 29.0 | 116 | 1.3503 | 0.2459 | 1.3503 | 1.1620 |
|
| 110 |
+
| No log | 29.5 | 118 | 1.4468 | 0.1677 | 1.4468 | 1.2028 |
|
| 111 |
+
| No log | 30.0 | 120 | 1.4805 | 0.1677 | 1.4805 | 1.2167 |
|
| 112 |
+
| No log | 30.5 | 122 | 1.2940 | 0.3040 | 1.2940 | 1.1375 |
|
| 113 |
+
| No log | 31.0 | 124 | 1.1722 | 0.2857 | 1.1722 | 1.0827 |
|
| 114 |
+
| No log | 31.5 | 126 | 1.1937 | 0.3415 | 1.1937 | 1.0925 |
|
| 115 |
+
| No log | 32.0 | 128 | 1.3158 | 0.2857 | 1.3158 | 1.1471 |
|
| 116 |
+
| No log | 32.5 | 130 | 1.4557 | 0.1625 | 1.4557 | 1.2065 |
|
| 117 |
+
| No log | 33.0 | 132 | 1.4731 | 0.1565 | 1.4731 | 1.2137 |
|
| 118 |
+
| No log | 33.5 | 134 | 1.3248 | 0.2583 | 1.3248 | 1.1510 |
|
| 119 |
+
| No log | 34.0 | 136 | 1.1874 | 0.2636 | 1.1874 | 1.0897 |
|
| 120 |
+
| No log | 34.5 | 138 | 1.2294 | 0.1887 | 1.2294 | 1.1088 |
|
| 121 |
+
| No log | 35.0 | 140 | 1.3572 | 0.2012 | 1.3572 | 1.1650 |
|
| 122 |
+
| No log | 35.5 | 142 | 1.3577 | 0.2012 | 1.3577 | 1.1652 |
|
| 123 |
+
| No log | 36.0 | 144 | 1.3617 | 0.2489 | 1.3617 | 1.1669 |
|
| 124 |
+
| No log | 36.5 | 146 | 1.3125 | 0.2771 | 1.3125 | 1.1456 |
|
| 125 |
+
| No log | 37.0 | 148 | 1.2498 | 0.2771 | 1.2498 | 1.1179 |
|
| 126 |
+
| No log | 37.5 | 150 | 1.1819 | 0.2587 | 1.1819 | 1.0871 |
|
| 127 |
+
| No log | 38.0 | 152 | 1.0810 | 0.2701 | 1.0810 | 1.0397 |
|
| 128 |
+
| No log | 38.5 | 154 | 1.0929 | 0.3201 | 1.0929 | 1.0454 |
|
| 129 |
+
| No log | 39.0 | 156 | 1.2442 | 0.2771 | 1.2442 | 1.1154 |
|
| 130 |
+
| No log | 39.5 | 158 | 1.3730 | 0.2687 | 1.3730 | 1.1717 |
|
| 131 |
+
| No log | 40.0 | 160 | 1.3157 | 0.1817 | 1.3157 | 1.1470 |
|
| 132 |
+
| No log | 40.5 | 162 | 1.2330 | 0.2771 | 1.2330 | 1.1104 |
|
| 133 |
+
| No log | 41.0 | 164 | 1.1420 | 0.3081 | 1.1420 | 1.0686 |
|
| 134 |
+
| No log | 41.5 | 166 | 1.1469 | 0.3081 | 1.1469 | 1.0709 |
|
| 135 |
+
| No log | 42.0 | 168 | 1.1583 | 0.2678 | 1.1583 | 1.0762 |
|
| 136 |
+
| No log | 42.5 | 170 | 1.1215 | 0.2773 | 1.1215 | 1.0590 |
|
| 137 |
+
| No log | 43.0 | 172 | 1.0782 | 0.3185 | 1.0782 | 1.0383 |
|
| 138 |
+
| No log | 43.5 | 174 | 1.0452 | 0.2698 | 1.0452 | 1.0224 |
|
| 139 |
+
| No log | 44.0 | 176 | 1.1142 | 0.3081 | 1.1142 | 1.0556 |
|
| 140 |
+
| No log | 44.5 | 178 | 1.2471 | 0.2386 | 1.2471 | 1.1167 |
|
| 141 |
+
| No log | 45.0 | 180 | 1.2871 | 0.2120 | 1.2871 | 1.1345 |
|
| 142 |
+
| No log | 45.5 | 182 | 1.1975 | 0.2886 | 1.1975 | 1.0943 |
|
| 143 |
+
| No log | 46.0 | 184 | 1.0655 | 0.3103 | 1.0655 | 1.0322 |
|
| 144 |
+
| No log | 46.5 | 186 | 0.9836 | 0.3306 | 0.9836 | 0.9918 |
|
| 145 |
+
| No log | 47.0 | 188 | 1.0101 | 0.3285 | 1.0101 | 1.0051 |
|
| 146 |
+
| No log | 47.5 | 190 | 1.1173 | 0.3156 | 1.1173 | 1.0570 |
|
| 147 |
+
| No log | 48.0 | 192 | 1.3059 | 0.2120 | 1.3059 | 1.1427 |
|
| 148 |
+
| No log | 48.5 | 194 | 1.3611 | 0.1323 | 1.3611 | 1.1667 |
|
| 149 |
+
| No log | 49.0 | 196 | 1.3144 | 0.1795 | 1.3144 | 1.1465 |
|
| 150 |
+
| No log | 49.5 | 198 | 1.1897 | 0.2797 | 1.1897 | 1.0907 |
|
| 151 |
+
| No log | 50.0 | 200 | 1.0971 | 0.3185 | 1.0971 | 1.0474 |
|
| 152 |
+
| No log | 50.5 | 202 | 1.0647 | 0.2408 | 1.0647 | 1.0319 |
|
| 153 |
+
| No log | 51.0 | 204 | 1.1123 | 0.3483 | 1.1123 | 1.0546 |
|
| 154 |
+
| No log | 51.5 | 206 | 1.2009 | 0.2678 | 1.2009 | 1.0958 |
|
| 155 |
+
| No log | 52.0 | 208 | 1.2722 | 0.2331 | 1.2722 | 1.1279 |
|
| 156 |
+
| No log | 52.5 | 210 | 1.2817 | 0.2489 | 1.2817 | 1.1321 |
|
| 157 |
+
| No log | 53.0 | 212 | 1.2545 | 0.2331 | 1.2545 | 1.1200 |
|
| 158 |
+
| No log | 53.5 | 214 | 1.2557 | 0.2331 | 1.2557 | 1.1206 |
|
| 159 |
+
| No log | 54.0 | 216 | 1.2990 | 0.1795 | 1.2990 | 1.1397 |
|
| 160 |
+
| No log | 54.5 | 218 | 1.2917 | 0.2636 | 1.2917 | 1.1365 |
|
| 161 |
+
| No log | 55.0 | 220 | 1.2753 | 0.2489 | 1.2753 | 1.1293 |
|
| 162 |
+
| No log | 55.5 | 222 | 1.3364 | 0.1989 | 1.3364 | 1.1560 |
|
| 163 |
+
| No log | 56.0 | 224 | 1.3428 | 0.2172 | 1.3428 | 1.1588 |
|
| 164 |
+
| No log | 56.5 | 226 | 1.2686 | 0.1795 | 1.2686 | 1.1263 |
|
| 165 |
+
| No log | 57.0 | 228 | 1.1996 | 0.2481 | 1.1996 | 1.0953 |
|
| 166 |
+
| No log | 57.5 | 230 | 1.1475 | 0.1873 | 1.1475 | 1.0712 |
|
| 167 |
+
| No log | 58.0 | 232 | 1.1656 | 0.1873 | 1.1656 | 1.0796 |
|
| 168 |
+
| No log | 58.5 | 234 | 1.2419 | 0.1795 | 1.2419 | 1.1144 |
|
| 169 |
+
| No log | 59.0 | 236 | 1.3326 | 0.1795 | 1.3326 | 1.1544 |
|
| 170 |
+
| No log | 59.5 | 238 | 1.3105 | 0.1795 | 1.3105 | 1.1448 |
|
| 171 |
+
| No log | 60.0 | 240 | 1.2499 | 0.1795 | 1.2499 | 1.1180 |
|
| 172 |
+
| No log | 60.5 | 242 | 1.1685 | 0.3081 | 1.1685 | 1.0810 |
|
| 173 |
+
| No log | 61.0 | 244 | 1.1416 | 0.3081 | 1.1416 | 1.0685 |
|
| 174 |
+
| No log | 61.5 | 246 | 1.1661 | 0.3119 | 1.1661 | 1.0799 |
|
| 175 |
+
| No log | 62.0 | 248 | 1.2130 | 0.2658 | 1.2130 | 1.1013 |
|
| 176 |
+
| No log | 62.5 | 250 | 1.2181 | 0.2250 | 1.2181 | 1.1037 |
|
| 177 |
+
| No log | 63.0 | 252 | 1.1969 | 0.2192 | 1.1969 | 1.0940 |
|
| 178 |
+
| No log | 63.5 | 254 | 1.2148 | 0.2192 | 1.2148 | 1.1022 |
|
| 179 |
+
| No log | 64.0 | 256 | 1.2604 | 0.1863 | 1.2604 | 1.1227 |
|
| 180 |
+
| No log | 64.5 | 258 | 1.2691 | 0.2250 | 1.2691 | 1.1266 |
|
| 181 |
+
| No log | 65.0 | 260 | 1.2260 | 0.2522 | 1.2260 | 1.1072 |
|
| 182 |
+
| No log | 65.5 | 262 | 1.2218 | 0.2815 | 1.2218 | 1.1053 |
|
| 183 |
+
| No log | 66.0 | 264 | 1.2238 | 0.2815 | 1.2238 | 1.1063 |
|
| 184 |
+
| No log | 66.5 | 266 | 1.1922 | 0.3081 | 1.1922 | 1.0919 |
|
| 185 |
+
| No log | 67.0 | 268 | 1.1650 | 0.3081 | 1.1650 | 1.0793 |
|
| 186 |
+
| No log | 67.5 | 270 | 1.1912 | 0.3405 | 1.1912 | 1.0914 |
|
| 187 |
+
| No log | 68.0 | 272 | 1.2546 | 0.3333 | 1.2546 | 1.1201 |
|
| 188 |
+
| No log | 68.5 | 274 | 1.2950 | 0.2729 | 1.2950 | 1.1380 |
|
| 189 |
+
| No log | 69.0 | 276 | 1.2775 | 0.2916 | 1.2775 | 1.1302 |
|
| 190 |
+
| No log | 69.5 | 278 | 1.2724 | 0.2837 | 1.2724 | 1.1280 |
|
| 191 |
+
| No log | 70.0 | 280 | 1.2392 | 0.2550 | 1.2392 | 1.1132 |
|
| 192 |
+
| No log | 70.5 | 282 | 1.2038 | 0.2535 | 1.2038 | 1.0972 |
|
| 193 |
+
| No log | 71.0 | 284 | 1.2153 | 0.2192 | 1.2153 | 1.1024 |
|
| 194 |
+
| No log | 71.5 | 286 | 1.2539 | 0.2192 | 1.2539 | 1.1198 |
|
| 195 |
+
| No log | 72.0 | 288 | 1.2609 | 0.2192 | 1.2609 | 1.1229 |
|
| 196 |
+
| No log | 72.5 | 290 | 1.2442 | 0.2192 | 1.2442 | 1.1154 |
|
| 197 |
+
| No log | 73.0 | 292 | 1.2675 | 0.2250 | 1.2675 | 1.1258 |
|
| 198 |
+
| No log | 73.5 | 294 | 1.3040 | 0.2550 | 1.3040 | 1.1419 |
|
| 199 |
+
| No log | 74.0 | 296 | 1.3163 | 0.2837 | 1.3163 | 1.1473 |
|
| 200 |
+
| No log | 74.5 | 298 | 1.2857 | 0.2857 | 1.2857 | 1.1339 |
|
| 201 |
+
| No log | 75.0 | 300 | 1.2611 | 0.2857 | 1.2611 | 1.1230 |
|
| 202 |
+
| No log | 75.5 | 302 | 1.2117 | 0.3405 | 1.2117 | 1.1008 |
|
| 203 |
+
| No log | 76.0 | 304 | 1.1780 | 0.3787 | 1.1780 | 1.0854 |
|
| 204 |
+
| No log | 76.5 | 306 | 1.1817 | 0.3405 | 1.1817 | 1.0870 |
|
| 205 |
+
| No log | 77.0 | 308 | 1.1912 | 0.3119 | 1.1912 | 1.0914 |
|
| 206 |
+
| No log | 77.5 | 310 | 1.2070 | 0.3119 | 1.2070 | 1.0986 |
|
| 207 |
+
| No log | 78.0 | 312 | 1.2308 | 0.2726 | 1.2308 | 1.1094 |
|
| 208 |
+
| No log | 78.5 | 314 | 1.2266 | 0.2726 | 1.2266 | 1.1075 |
|
| 209 |
+
| No log | 79.0 | 316 | 1.2042 | 0.3081 | 1.2042 | 1.0974 |
|
| 210 |
+
| No log | 79.5 | 318 | 1.1851 | 0.3081 | 1.1851 | 1.0886 |
|
| 211 |
+
| No log | 80.0 | 320 | 1.1951 | 0.3081 | 1.1951 | 1.0932 |
|
| 212 |
+
| No log | 80.5 | 322 | 1.2232 | 0.2678 | 1.2232 | 1.1060 |
|
| 213 |
+
| No log | 81.0 | 324 | 1.2639 | 0.2250 | 1.2639 | 1.1243 |
|
| 214 |
+
| No log | 81.5 | 326 | 1.3187 | 0.2550 | 1.3187 | 1.1483 |
|
| 215 |
+
| No log | 82.0 | 328 | 1.3461 | 0.3111 | 1.3461 | 1.1602 |
|
| 216 |
+
| No log | 82.5 | 330 | 1.3433 | 0.2837 | 1.3433 | 1.1590 |
|
| 217 |
+
| No log | 83.0 | 332 | 1.3081 | 0.2550 | 1.3081 | 1.1437 |
|
| 218 |
+
| No log | 83.5 | 334 | 1.2740 | 0.2550 | 1.2740 | 1.1287 |
|
| 219 |
+
| No log | 84.0 | 336 | 1.2342 | 0.2886 | 1.2342 | 1.1110 |
|
| 220 |
+
| No log | 84.5 | 338 | 1.1884 | 0.3119 | 1.1884 | 1.0902 |
|
| 221 |
+
| No log | 85.0 | 340 | 1.1522 | 0.3081 | 1.1522 | 1.0734 |
|
| 222 |
+
| No log | 85.5 | 342 | 1.1346 | 0.3483 | 1.1346 | 1.0652 |
|
| 223 |
+
| No log | 86.0 | 344 | 1.1159 | 0.3483 | 1.1159 | 1.0563 |
|
| 224 |
+
| No log | 86.5 | 346 | 1.1086 | 0.3103 | 1.1086 | 1.0529 |
|
| 225 |
+
| No log | 87.0 | 348 | 1.0976 | 0.3103 | 1.0976 | 1.0477 |
|
| 226 |
+
| No log | 87.5 | 350 | 1.0952 | 0.3103 | 1.0952 | 1.0465 |
|
| 227 |
+
| No log | 88.0 | 352 | 1.1024 | 0.3103 | 1.1024 | 1.0499 |
|
| 228 |
+
| No log | 88.5 | 354 | 1.1224 | 0.3483 | 1.1224 | 1.0594 |
|
| 229 |
+
| No log | 89.0 | 356 | 1.1419 | 0.3081 | 1.1419 | 1.0686 |
|
| 230 |
+
| No log | 89.5 | 358 | 1.1578 | 0.3081 | 1.1578 | 1.0760 |
|
| 231 |
+
| No log | 90.0 | 360 | 1.1756 | 0.3119 | 1.1756 | 1.0843 |
|
| 232 |
+
| No log | 90.5 | 362 | 1.1938 | 0.3119 | 1.1938 | 1.0926 |
|
| 233 |
+
| No log | 91.0 | 364 | 1.1977 | 0.3677 | 1.1977 | 1.0944 |
|
| 234 |
+
| No log | 91.5 | 366 | 1.1926 | 0.3677 | 1.1926 | 1.0920 |
|
| 235 |
+
| No log | 92.0 | 368 | 1.1810 | 0.3677 | 1.1810 | 1.0868 |
|
| 236 |
+
| No log | 92.5 | 370 | 1.1816 | 0.3119 | 1.1816 | 1.0870 |
|
| 237 |
+
| No log | 93.0 | 372 | 1.1792 | 0.3119 | 1.1792 | 1.0859 |
|
| 238 |
+
| No log | 93.5 | 374 | 1.1752 | 0.3119 | 1.1752 | 1.0841 |
|
| 239 |
+
| No log | 94.0 | 376 | 1.1717 | 0.3119 | 1.1717 | 1.0824 |
|
| 240 |
+
| No log | 94.5 | 378 | 1.1638 | 0.3081 | 1.1638 | 1.0788 |
|
| 241 |
+
| No log | 95.0 | 380 | 1.1624 | 0.3081 | 1.1624 | 1.0781 |
|
| 242 |
+
| No log | 95.5 | 382 | 1.1582 | 0.3081 | 1.1582 | 1.0762 |
|
| 243 |
+
| No log | 96.0 | 384 | 1.1542 | 0.3081 | 1.1542 | 1.0743 |
|
| 244 |
+
| No log | 96.5 | 386 | 1.1525 | 0.3081 | 1.1525 | 1.0735 |
|
| 245 |
+
| No log | 97.0 | 388 | 1.1521 | 0.3081 | 1.1521 | 1.0734 |
|
| 246 |
+
| No log | 97.5 | 390 | 1.1543 | 0.3081 | 1.1543 | 1.0744 |
|
| 247 |
+
| No log | 98.0 | 392 | 1.1546 | 0.3081 | 1.1546 | 1.0745 |
|
| 248 |
+
| No log | 98.5 | 394 | 1.1532 | 0.3081 | 1.1532 | 1.0739 |
|
| 249 |
+
| No log | 99.0 | 396 | 1.1522 | 0.3081 | 1.1522 | 1.0734 |
|
| 250 |
+
| No log | 99.5 | 398 | 1.1514 | 0.3081 | 1.1514 | 1.0730 |
|
| 251 |
+
| No log | 100.0 | 400 | 1.1507 | 0.3081 | 1.1507 | 1.0727 |
|
| 252 |
+
|
| 253 |
+
|
| 254 |
+
### Framework versions
|
| 255 |
+
|
| 256 |
+
- Transformers 4.44.2
|
| 257 |
+
- Pytorch 2.4.0+cu118
|
| 258 |
+
- Datasets 2.21.0
|
| 259 |
+
- Tokenizers 0.19.1
|
config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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
|
| 2 |
+
oid sha256:e6ae1b3adc941c496eabf85b377639bf1f7ca547c38ee8a63fd628bafed75dd4
|
| 3 |
+
size 540799996
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:47b810294660c452fb5b140b6d0b5ace12c309cf41801fe60674cb1ebf37e5cb
|
| 3 |
+
size 5368
|