Training in progress, step 500
Browse files- README.md +330 -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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k2_task1_organization
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| 8 |
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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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should probably proofread and complete it, then remove this comment. -->
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| 13 |
+
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| 14 |
+
# ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k2_task1_organization
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| 15 |
+
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| 16 |
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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: 0.8200
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| 19 |
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- Qwk: 0.6301
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- Mse: 0.8200
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- Rmse: 0.9056
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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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| 32 |
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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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|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|:------:|
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| 52 |
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| No log | 0.1667 | 2 | 6.6486 | 0.0308 | 6.6486 | 2.5785 |
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| 53 |
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| No log | 0.3333 | 4 | 4.7964 | 0.0758 | 4.7964 | 2.1901 |
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| 54 |
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| No log | 0.5 | 6 | 2.7447 | 0.0988 | 2.7447 | 1.6567 |
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| 55 |
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| No log | 0.6667 | 8 | 2.2189 | 0.1497 | 2.2189 | 1.4896 |
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| 56 |
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| No log | 0.8333 | 10 | 2.1326 | 0.0333 | 2.1326 | 1.4604 |
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| 57 |
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| No log | 1.0 | 12 | 1.6268 | 0.1905 | 1.6268 | 1.2754 |
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| 58 |
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| No log | 1.1667 | 14 | 1.6479 | 0.1905 | 1.6479 | 1.2837 |
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| 59 |
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| No log | 1.3333 | 16 | 1.8221 | 0.1636 | 1.8221 | 1.3498 |
|
| 60 |
+
| No log | 1.5 | 18 | 1.8898 | 0.1636 | 1.8898 | 1.3747 |
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| 61 |
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| No log | 1.6667 | 20 | 1.8432 | 0.1667 | 1.8432 | 1.3576 |
|
| 62 |
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| No log | 1.8333 | 22 | 1.6581 | 0.1538 | 1.6581 | 1.2877 |
|
| 63 |
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| No log | 2.0 | 24 | 1.7937 | 0.3607 | 1.7937 | 1.3393 |
|
| 64 |
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| No log | 2.1667 | 26 | 2.0221 | 0.2985 | 2.0221 | 1.4220 |
|
| 65 |
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| No log | 2.3333 | 28 | 1.8490 | 0.3206 | 1.8490 | 1.3598 |
|
| 66 |
+
| No log | 2.5 | 30 | 1.6245 | 0.3360 | 1.6245 | 1.2746 |
|
| 67 |
+
| No log | 2.6667 | 32 | 1.3879 | 0.3193 | 1.3879 | 1.1781 |
|
| 68 |
+
| No log | 2.8333 | 34 | 1.3522 | 0.2569 | 1.3522 | 1.1628 |
|
| 69 |
+
| No log | 3.0 | 36 | 1.3684 | 0.2909 | 1.3684 | 1.1698 |
|
| 70 |
+
| No log | 3.1667 | 38 | 1.2343 | 0.4522 | 1.2343 | 1.1110 |
|
| 71 |
+
| No log | 3.3333 | 40 | 1.1627 | 0.5645 | 1.1627 | 1.0783 |
|
| 72 |
+
| No log | 3.5 | 42 | 1.1777 | 0.4538 | 1.1777 | 1.0852 |
|
| 73 |
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| No log | 3.6667 | 44 | 1.2752 | 0.4590 | 1.2752 | 1.1292 |
|
| 74 |
+
| No log | 3.8333 | 46 | 1.4112 | 0.4 | 1.4112 | 1.1879 |
|
| 75 |
+
| No log | 4.0 | 48 | 1.4387 | 0.3594 | 1.4387 | 1.1994 |
|
| 76 |
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| No log | 4.1667 | 50 | 1.5982 | 0.2946 | 1.5982 | 1.2642 |
|
| 77 |
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| No log | 4.3333 | 52 | 1.4289 | 0.3411 | 1.4289 | 1.1953 |
|
| 78 |
+
| No log | 4.5 | 54 | 1.0951 | 0.5781 | 1.0952 | 1.0465 |
|
| 79 |
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| No log | 4.6667 | 56 | 0.9654 | 0.6165 | 0.9654 | 0.9826 |
|
| 80 |
+
| No log | 4.8333 | 58 | 1.1773 | 0.4724 | 1.1773 | 1.0850 |
|
| 81 |
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| No log | 5.0 | 60 | 1.5197 | 0.3740 | 1.5197 | 1.2327 |
|
| 82 |
+
| No log | 5.1667 | 62 | 1.3808 | 0.4094 | 1.3808 | 1.1751 |
|
| 83 |
+
| No log | 5.3333 | 64 | 1.1117 | 0.5469 | 1.1117 | 1.0544 |
|
| 84 |
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| No log | 5.5 | 66 | 1.1864 | 0.4651 | 1.1864 | 1.0892 |
|
| 85 |
+
| No log | 5.6667 | 68 | 1.3468 | 0.4 | 1.3468 | 1.1605 |
|
| 86 |
+
| No log | 5.8333 | 70 | 1.3708 | 0.4341 | 1.3708 | 1.1708 |
|
| 87 |
+
| No log | 6.0 | 72 | 1.4225 | 0.4154 | 1.4225 | 1.1927 |
|
| 88 |
+
| No log | 6.1667 | 74 | 1.1005 | 0.5354 | 1.1005 | 1.0490 |
|
| 89 |
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| No log | 6.3333 | 76 | 1.0776 | 0.5821 | 1.0776 | 1.0381 |
|
| 90 |
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| No log | 6.5 | 78 | 1.0829 | 0.5077 | 1.0829 | 1.0406 |
|
| 91 |
+
| No log | 6.6667 | 80 | 1.1030 | 0.4961 | 1.1030 | 1.0502 |
|
| 92 |
+
| No log | 6.8333 | 82 | 1.0250 | 0.5736 | 1.0250 | 1.0124 |
|
| 93 |
+
| No log | 7.0 | 84 | 1.0270 | 0.6 | 1.0270 | 1.0134 |
|
| 94 |
+
| No log | 7.1667 | 86 | 1.0527 | 0.5821 | 1.0527 | 1.0260 |
|
| 95 |
+
| No log | 7.3333 | 88 | 1.0986 | 0.5426 | 1.0986 | 1.0481 |
|
| 96 |
+
| No log | 7.5 | 90 | 1.0672 | 0.5909 | 1.0672 | 1.0330 |
|
| 97 |
+
| No log | 7.6667 | 92 | 1.0398 | 0.6074 | 1.0398 | 1.0197 |
|
| 98 |
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| No log | 7.8333 | 94 | 0.9625 | 0.6525 | 0.9625 | 0.9811 |
|
| 99 |
+
| No log | 8.0 | 96 | 1.0279 | 0.6087 | 1.0279 | 1.0139 |
|
| 100 |
+
| No log | 8.1667 | 98 | 1.3300 | 0.4923 | 1.3300 | 1.1532 |
|
| 101 |
+
| No log | 8.3333 | 100 | 1.5088 | 0.375 | 1.5088 | 1.2283 |
|
| 102 |
+
| No log | 8.5 | 102 | 1.4521 | 0.4394 | 1.4521 | 1.2050 |
|
| 103 |
+
| No log | 8.6667 | 104 | 1.4014 | 0.4615 | 1.4014 | 1.1838 |
|
| 104 |
+
| No log | 8.8333 | 106 | 1.0455 | 0.6165 | 1.0455 | 1.0225 |
|
| 105 |
+
| No log | 9.0 | 108 | 0.8413 | 0.6712 | 0.8413 | 0.9172 |
|
| 106 |
+
| No log | 9.1667 | 110 | 0.8407 | 0.6575 | 0.8407 | 0.9169 |
|
| 107 |
+
| No log | 9.3333 | 112 | 0.8403 | 0.6667 | 0.8403 | 0.9167 |
|
| 108 |
+
| No log | 9.5 | 114 | 0.8290 | 0.6667 | 0.8290 | 0.9105 |
|
| 109 |
+
| No log | 9.6667 | 116 | 0.9611 | 0.6525 | 0.9611 | 0.9803 |
|
| 110 |
+
| No log | 9.8333 | 118 | 1.0797 | 0.5970 | 1.0797 | 1.0391 |
|
| 111 |
+
| No log | 10.0 | 120 | 1.2007 | 0.5522 | 1.2007 | 1.0958 |
|
| 112 |
+
| No log | 10.1667 | 122 | 1.3501 | 0.4154 | 1.3501 | 1.1619 |
|
| 113 |
+
| No log | 10.3333 | 124 | 1.2360 | 0.4923 | 1.2360 | 1.1117 |
|
| 114 |
+
| No log | 10.5 | 126 | 1.0071 | 0.6619 | 1.0071 | 1.0036 |
|
| 115 |
+
| No log | 10.6667 | 128 | 0.9585 | 0.6619 | 0.9585 | 0.9790 |
|
| 116 |
+
| No log | 10.8333 | 130 | 0.9431 | 0.6667 | 0.9431 | 0.9711 |
|
| 117 |
+
| No log | 11.0 | 132 | 0.9092 | 0.6757 | 0.9092 | 0.9535 |
|
| 118 |
+
| No log | 11.1667 | 134 | 0.9810 | 0.6711 | 0.9810 | 0.9905 |
|
| 119 |
+
| No log | 11.3333 | 136 | 0.9613 | 0.6711 | 0.9613 | 0.9805 |
|
| 120 |
+
| No log | 11.5 | 138 | 0.9238 | 0.6712 | 0.9238 | 0.9611 |
|
| 121 |
+
| No log | 11.6667 | 140 | 0.8545 | 0.6621 | 0.8545 | 0.9244 |
|
| 122 |
+
| No log | 11.8333 | 142 | 0.8581 | 0.7042 | 0.8581 | 0.9263 |
|
| 123 |
+
| No log | 12.0 | 144 | 0.8854 | 0.6479 | 0.8854 | 0.9410 |
|
| 124 |
+
| No log | 12.1667 | 146 | 0.8977 | 0.6241 | 0.8977 | 0.9475 |
|
| 125 |
+
| No log | 12.3333 | 148 | 0.8810 | 0.6331 | 0.8810 | 0.9386 |
|
| 126 |
+
| No log | 12.5 | 150 | 1.0943 | 0.6242 | 1.0943 | 1.0461 |
|
| 127 |
+
| No log | 12.6667 | 152 | 1.2304 | 0.6347 | 1.2304 | 1.1092 |
|
| 128 |
+
| No log | 12.8333 | 154 | 1.2691 | 0.6456 | 1.2691 | 1.1265 |
|
| 129 |
+
| No log | 13.0 | 156 | 1.0968 | 0.5693 | 1.0968 | 1.0473 |
|
| 130 |
+
| No log | 13.1667 | 158 | 0.9790 | 0.6 | 0.9790 | 0.9894 |
|
| 131 |
+
| No log | 13.3333 | 160 | 0.8573 | 0.6165 | 0.8573 | 0.9259 |
|
| 132 |
+
| No log | 13.5 | 162 | 0.7858 | 0.6806 | 0.7858 | 0.8864 |
|
| 133 |
+
| No log | 13.6667 | 164 | 0.7637 | 0.7027 | 0.7637 | 0.8739 |
|
| 134 |
+
| No log | 13.8333 | 166 | 0.8192 | 0.6434 | 0.8192 | 0.9051 |
|
| 135 |
+
| No log | 14.0 | 168 | 0.9158 | 0.6494 | 0.9158 | 0.9570 |
|
| 136 |
+
| No log | 14.1667 | 170 | 1.0005 | 0.6541 | 1.0005 | 1.0002 |
|
| 137 |
+
| No log | 14.3333 | 172 | 1.0027 | 0.6573 | 1.0027 | 1.0014 |
|
| 138 |
+
| No log | 14.5 | 174 | 0.9580 | 0.6475 | 0.9580 | 0.9788 |
|
| 139 |
+
| No log | 14.6667 | 176 | 0.8786 | 0.6197 | 0.8786 | 0.9374 |
|
| 140 |
+
| No log | 14.8333 | 178 | 0.8173 | 0.6849 | 0.8173 | 0.9041 |
|
| 141 |
+
| No log | 15.0 | 180 | 0.7806 | 0.6939 | 0.7806 | 0.8835 |
|
| 142 |
+
| No log | 15.1667 | 182 | 0.7749 | 0.6623 | 0.7749 | 0.8803 |
|
| 143 |
+
| No log | 15.3333 | 184 | 0.8179 | 0.7006 | 0.8179 | 0.9044 |
|
| 144 |
+
| No log | 15.5 | 186 | 0.9580 | 0.6389 | 0.9580 | 0.9788 |
|
| 145 |
+
| No log | 15.6667 | 188 | 1.1302 | 0.4961 | 1.1302 | 1.0631 |
|
| 146 |
+
| No log | 15.8333 | 190 | 1.1870 | 0.5185 | 1.1870 | 1.0895 |
|
| 147 |
+
| No log | 16.0 | 192 | 1.2013 | 0.5906 | 1.2013 | 1.0961 |
|
| 148 |
+
| No log | 16.1667 | 194 | 1.1614 | 0.6027 | 1.1614 | 1.0777 |
|
| 149 |
+
| No log | 16.3333 | 196 | 1.0444 | 0.5957 | 1.0444 | 1.0219 |
|
| 150 |
+
| No log | 16.5 | 198 | 1.0387 | 0.5649 | 1.0387 | 1.0192 |
|
| 151 |
+
| No log | 16.6667 | 200 | 1.1057 | 0.4923 | 1.1057 | 1.0515 |
|
| 152 |
+
| No log | 16.8333 | 202 | 1.1200 | 0.5185 | 1.1200 | 1.0583 |
|
| 153 |
+
| No log | 17.0 | 204 | 1.1598 | 0.5324 | 1.1598 | 1.0770 |
|
| 154 |
+
| No log | 17.1667 | 206 | 1.3018 | 0.4604 | 1.3018 | 1.1410 |
|
| 155 |
+
| No log | 17.3333 | 208 | 1.2784 | 0.4714 | 1.2784 | 1.1306 |
|
| 156 |
+
| No log | 17.5 | 210 | 1.1527 | 0.5532 | 1.1527 | 1.0736 |
|
| 157 |
+
| No log | 17.6667 | 212 | 1.0895 | 0.5612 | 1.0895 | 1.0438 |
|
| 158 |
+
| No log | 17.8333 | 214 | 1.0718 | 0.5612 | 1.0718 | 1.0353 |
|
| 159 |
+
| No log | 18.0 | 216 | 1.0099 | 0.6165 | 1.0099 | 1.0049 |
|
| 160 |
+
| No log | 18.1667 | 218 | 0.9859 | 0.5736 | 0.9859 | 0.9929 |
|
| 161 |
+
| No log | 18.3333 | 220 | 0.9700 | 0.5802 | 0.9700 | 0.9849 |
|
| 162 |
+
| No log | 18.5 | 222 | 0.9783 | 0.5839 | 0.9783 | 0.9891 |
|
| 163 |
+
| No log | 18.6667 | 224 | 1.0381 | 0.5857 | 1.0381 | 1.0189 |
|
| 164 |
+
| No log | 18.8333 | 226 | 1.0272 | 0.5816 | 1.0272 | 1.0135 |
|
| 165 |
+
| No log | 19.0 | 228 | 1.0256 | 0.6111 | 1.0256 | 1.0127 |
|
| 166 |
+
| No log | 19.1667 | 230 | 1.0655 | 0.6623 | 1.0655 | 1.0322 |
|
| 167 |
+
| No log | 19.3333 | 232 | 0.9701 | 0.6757 | 0.9701 | 0.9850 |
|
| 168 |
+
| No log | 19.5 | 234 | 0.8687 | 0.6571 | 0.8687 | 0.9320 |
|
| 169 |
+
| No log | 19.6667 | 236 | 0.8604 | 0.6571 | 0.8604 | 0.9276 |
|
| 170 |
+
| No log | 19.8333 | 238 | 0.9053 | 0.6429 | 0.9053 | 0.9515 |
|
| 171 |
+
| No log | 20.0 | 240 | 1.0003 | 0.6405 | 1.0003 | 1.0001 |
|
| 172 |
+
| No log | 20.1667 | 242 | 1.0133 | 0.6282 | 1.0133 | 1.0066 |
|
| 173 |
+
| No log | 20.3333 | 244 | 0.9761 | 0.6369 | 0.9761 | 0.9880 |
|
| 174 |
+
| No log | 20.5 | 246 | 0.8617 | 0.6792 | 0.8617 | 0.9283 |
|
| 175 |
+
| No log | 20.6667 | 248 | 0.7563 | 0.7211 | 0.7563 | 0.8697 |
|
| 176 |
+
| No log | 20.8333 | 250 | 0.7422 | 0.6950 | 0.7422 | 0.8615 |
|
| 177 |
+
| No log | 21.0 | 252 | 0.7433 | 0.7042 | 0.7433 | 0.8622 |
|
| 178 |
+
| No log | 21.1667 | 254 | 0.7355 | 0.7042 | 0.7355 | 0.8576 |
|
| 179 |
+
| No log | 21.3333 | 256 | 0.7565 | 0.7296 | 0.7565 | 0.8698 |
|
| 180 |
+
| No log | 21.5 | 258 | 0.8479 | 0.6957 | 0.8479 | 0.9208 |
|
| 181 |
+
| No log | 21.6667 | 260 | 0.9366 | 0.6951 | 0.9366 | 0.9678 |
|
| 182 |
+
| No log | 21.8333 | 262 | 0.8985 | 0.6579 | 0.8985 | 0.9479 |
|
| 183 |
+
| No log | 22.0 | 264 | 0.8782 | 0.6479 | 0.8782 | 0.9371 |
|
| 184 |
+
| No log | 22.1667 | 266 | 0.8390 | 0.6119 | 0.8390 | 0.9160 |
|
| 185 |
+
| No log | 22.3333 | 268 | 0.8451 | 0.6222 | 0.8451 | 0.9193 |
|
| 186 |
+
| No log | 22.5 | 270 | 0.9366 | 0.6286 | 0.9366 | 0.9678 |
|
| 187 |
+
| No log | 22.6667 | 272 | 1.1208 | 0.6494 | 1.1208 | 1.0587 |
|
| 188 |
+
| No log | 22.8333 | 274 | 1.1842 | 0.6626 | 1.1842 | 1.0882 |
|
| 189 |
+
| No log | 23.0 | 276 | 1.0842 | 0.6267 | 1.0842 | 1.0412 |
|
| 190 |
+
| No log | 23.1667 | 278 | 0.9518 | 0.6176 | 0.9518 | 0.9756 |
|
| 191 |
+
| No log | 23.3333 | 280 | 0.9013 | 0.5846 | 0.9013 | 0.9493 |
|
| 192 |
+
| No log | 23.5 | 282 | 0.8917 | 0.5846 | 0.8917 | 0.9443 |
|
| 193 |
+
| No log | 23.6667 | 284 | 0.9192 | 0.6294 | 0.9192 | 0.9587 |
|
| 194 |
+
| No log | 23.8333 | 286 | 1.0300 | 0.6234 | 1.0300 | 1.0149 |
|
| 195 |
+
| No log | 24.0 | 288 | 1.0473 | 0.6065 | 1.0473 | 1.0234 |
|
| 196 |
+
| No log | 24.1667 | 290 | 0.9483 | 0.6438 | 0.9483 | 0.9738 |
|
| 197 |
+
| No log | 24.3333 | 292 | 0.8851 | 0.6519 | 0.8851 | 0.9408 |
|
| 198 |
+
| No log | 24.5 | 294 | 0.8898 | 0.6466 | 0.8898 | 0.9433 |
|
| 199 |
+
| No log | 24.6667 | 296 | 0.9383 | 0.6222 | 0.9383 | 0.9686 |
|
| 200 |
+
| No log | 24.8333 | 298 | 0.9931 | 0.6119 | 0.9931 | 0.9965 |
|
| 201 |
+
| No log | 25.0 | 300 | 0.9910 | 0.5802 | 0.9910 | 0.9955 |
|
| 202 |
+
| No log | 25.1667 | 302 | 1.0197 | 0.5802 | 1.0197 | 1.0098 |
|
| 203 |
+
| No log | 25.3333 | 304 | 1.0937 | 0.6015 | 1.0937 | 1.0458 |
|
| 204 |
+
| No log | 25.5 | 306 | 1.0786 | 0.6015 | 1.0786 | 1.0385 |
|
| 205 |
+
| No log | 25.6667 | 308 | 1.0526 | 0.6471 | 1.0526 | 1.0259 |
|
| 206 |
+
| No log | 25.8333 | 310 | 0.9679 | 0.6165 | 0.9679 | 0.9838 |
|
| 207 |
+
| No log | 26.0 | 312 | 0.9198 | 0.5954 | 0.9198 | 0.9590 |
|
| 208 |
+
| No log | 26.1667 | 314 | 0.8997 | 0.5846 | 0.8997 | 0.9485 |
|
| 209 |
+
| No log | 26.3333 | 316 | 0.8785 | 0.5954 | 0.8785 | 0.9373 |
|
| 210 |
+
| No log | 26.5 | 318 | 0.8996 | 0.6846 | 0.8996 | 0.9485 |
|
| 211 |
+
| No log | 26.6667 | 320 | 0.8929 | 0.6842 | 0.8929 | 0.9449 |
|
| 212 |
+
| No log | 26.8333 | 322 | 0.8357 | 0.6667 | 0.8357 | 0.9142 |
|
| 213 |
+
| No log | 27.0 | 324 | 0.7609 | 0.6466 | 0.7609 | 0.8723 |
|
| 214 |
+
| No log | 27.1667 | 326 | 0.7357 | 0.6716 | 0.7357 | 0.8577 |
|
| 215 |
+
| No log | 27.3333 | 328 | 0.7341 | 0.6617 | 0.7341 | 0.8568 |
|
| 216 |
+
| No log | 27.5 | 330 | 0.7718 | 0.6866 | 0.7718 | 0.8785 |
|
| 217 |
+
| No log | 27.6667 | 332 | 0.8702 | 0.6618 | 0.8702 | 0.9329 |
|
| 218 |
+
| No log | 27.8333 | 334 | 0.9815 | 0.6667 | 0.9815 | 0.9907 |
|
| 219 |
+
| No log | 28.0 | 336 | 0.9991 | 0.6577 | 0.9991 | 0.9995 |
|
| 220 |
+
| No log | 28.1667 | 338 | 0.9761 | 0.6286 | 0.9761 | 0.9880 |
|
| 221 |
+
| No log | 28.3333 | 340 | 0.9035 | 0.6212 | 0.9035 | 0.9506 |
|
| 222 |
+
| No log | 28.5 | 342 | 0.8576 | 0.6308 | 0.8576 | 0.9261 |
|
| 223 |
+
| No log | 28.6667 | 344 | 0.8474 | 0.6364 | 0.8474 | 0.9205 |
|
| 224 |
+
| No log | 28.8333 | 346 | 0.8585 | 0.6667 | 0.8585 | 0.9266 |
|
| 225 |
+
| No log | 29.0 | 348 | 0.9662 | 0.6494 | 0.9662 | 0.9829 |
|
| 226 |
+
| No log | 29.1667 | 350 | 1.0605 | 0.6667 | 1.0605 | 1.0298 |
|
| 227 |
+
| No log | 29.3333 | 352 | 0.9650 | 0.6624 | 0.9650 | 0.9823 |
|
| 228 |
+
| No log | 29.5 | 354 | 0.8416 | 0.7248 | 0.8416 | 0.9174 |
|
| 229 |
+
| No log | 29.6667 | 356 | 0.8039 | 0.6331 | 0.8039 | 0.8966 |
|
| 230 |
+
| No log | 29.8333 | 358 | 0.8114 | 0.6074 | 0.8114 | 0.9008 |
|
| 231 |
+
| No log | 30.0 | 360 | 0.8365 | 0.6029 | 0.8365 | 0.9146 |
|
| 232 |
+
| No log | 30.1667 | 362 | 0.8587 | 0.6029 | 0.8587 | 0.9266 |
|
| 233 |
+
| No log | 30.3333 | 364 | 0.8540 | 0.6423 | 0.8540 | 0.9241 |
|
| 234 |
+
| No log | 30.5 | 366 | 0.8285 | 0.6165 | 0.8285 | 0.9102 |
|
| 235 |
+
| No log | 30.6667 | 368 | 0.8299 | 0.6569 | 0.8299 | 0.9110 |
|
| 236 |
+
| No log | 30.8333 | 370 | 0.8074 | 0.6812 | 0.8074 | 0.8986 |
|
| 237 |
+
| No log | 31.0 | 372 | 0.7834 | 0.6812 | 0.7834 | 0.8851 |
|
| 238 |
+
| No log | 31.1667 | 374 | 0.7850 | 0.6812 | 0.7850 | 0.8860 |
|
| 239 |
+
| No log | 31.3333 | 376 | 0.7755 | 0.7285 | 0.7755 | 0.8806 |
|
| 240 |
+
| No log | 31.5 | 378 | 0.7754 | 0.7285 | 0.7754 | 0.8806 |
|
| 241 |
+
| No log | 31.6667 | 380 | 0.7682 | 0.7075 | 0.7682 | 0.8764 |
|
| 242 |
+
| No log | 31.8333 | 382 | 0.7390 | 0.7172 | 0.7390 | 0.8596 |
|
| 243 |
+
| No log | 32.0 | 384 | 0.7543 | 0.7297 | 0.7543 | 0.8685 |
|
| 244 |
+
| No log | 32.1667 | 386 | 0.7787 | 0.6667 | 0.7787 | 0.8824 |
|
| 245 |
+
| No log | 32.3333 | 388 | 0.7651 | 0.6618 | 0.7651 | 0.8747 |
|
| 246 |
+
| No log | 32.5 | 390 | 0.7635 | 0.6617 | 0.7635 | 0.8738 |
|
| 247 |
+
| No log | 32.6667 | 392 | 0.7480 | 0.6471 | 0.7480 | 0.8649 |
|
| 248 |
+
| No log | 32.8333 | 394 | 0.7244 | 0.6906 | 0.7244 | 0.8511 |
|
| 249 |
+
| No log | 33.0 | 396 | 0.7154 | 0.6950 | 0.7154 | 0.8458 |
|
| 250 |
+
| No log | 33.1667 | 398 | 0.7350 | 0.6761 | 0.7350 | 0.8573 |
|
| 251 |
+
| No log | 33.3333 | 400 | 0.7389 | 0.6715 | 0.7389 | 0.8596 |
|
| 252 |
+
| No log | 33.5 | 402 | 0.7490 | 0.6765 | 0.7490 | 0.8655 |
|
| 253 |
+
| No log | 33.6667 | 404 | 0.7887 | 0.6316 | 0.7887 | 0.8881 |
|
| 254 |
+
| No log | 33.8333 | 406 | 0.8394 | 0.6466 | 0.8394 | 0.9162 |
|
| 255 |
+
| No log | 34.0 | 408 | 0.8978 | 0.6466 | 0.8978 | 0.9475 |
|
| 256 |
+
| No log | 34.1667 | 410 | 0.9626 | 0.6324 | 0.9626 | 0.9811 |
|
| 257 |
+
| No log | 34.3333 | 412 | 0.9505 | 0.6434 | 0.9505 | 0.9749 |
|
| 258 |
+
| No log | 34.5 | 414 | 0.8873 | 0.6479 | 0.8873 | 0.9419 |
|
| 259 |
+
| No log | 34.6667 | 416 | 0.8141 | 0.6812 | 0.8141 | 0.9023 |
|
| 260 |
+
| No log | 34.8333 | 418 | 0.7749 | 0.6906 | 0.7749 | 0.8803 |
|
| 261 |
+
| No log | 35.0 | 420 | 0.7500 | 0.6667 | 0.7500 | 0.8660 |
|
| 262 |
+
| No log | 35.1667 | 422 | 0.7251 | 0.7083 | 0.7251 | 0.8515 |
|
| 263 |
+
| No log | 35.3333 | 424 | 0.7350 | 0.7183 | 0.7350 | 0.8573 |
|
| 264 |
+
| No log | 35.5 | 426 | 0.8007 | 0.7067 | 0.8007 | 0.8948 |
|
| 265 |
+
| No log | 35.6667 | 428 | 0.8921 | 0.6579 | 0.8921 | 0.9445 |
|
| 266 |
+
| No log | 35.8333 | 430 | 0.8908 | 0.6713 | 0.8908 | 0.9438 |
|
| 267 |
+
| No log | 36.0 | 432 | 0.8168 | 0.6809 | 0.8168 | 0.9038 |
|
| 268 |
+
| No log | 36.1667 | 434 | 0.7754 | 0.6667 | 0.7754 | 0.8806 |
|
| 269 |
+
| No log | 36.3333 | 436 | 0.7834 | 0.6299 | 0.7834 | 0.8851 |
|
| 270 |
+
| No log | 36.5 | 438 | 0.7911 | 0.6299 | 0.7911 | 0.8894 |
|
| 271 |
+
| No log | 36.6667 | 440 | 0.7888 | 0.6716 | 0.7888 | 0.8881 |
|
| 272 |
+
| No log | 36.8333 | 442 | 0.8092 | 0.6765 | 0.8092 | 0.8995 |
|
| 273 |
+
| No log | 37.0 | 444 | 0.8396 | 0.6901 | 0.8396 | 0.9163 |
|
| 274 |
+
| No log | 37.1667 | 446 | 0.8344 | 0.6667 | 0.8344 | 0.9135 |
|
| 275 |
+
| No log | 37.3333 | 448 | 0.8262 | 0.6667 | 0.8262 | 0.9089 |
|
| 276 |
+
| No log | 37.5 | 450 | 0.7916 | 0.6667 | 0.7916 | 0.8897 |
|
| 277 |
+
| No log | 37.6667 | 452 | 0.7934 | 0.6667 | 0.7934 | 0.8907 |
|
| 278 |
+
| No log | 37.8333 | 454 | 0.7995 | 0.6667 | 0.7995 | 0.8941 |
|
| 279 |
+
| No log | 38.0 | 456 | 0.8153 | 0.6765 | 0.8153 | 0.9030 |
|
| 280 |
+
| No log | 38.1667 | 458 | 0.7751 | 0.7383 | 0.7751 | 0.8804 |
|
| 281 |
+
| No log | 38.3333 | 460 | 0.7123 | 0.7123 | 0.7123 | 0.8440 |
|
| 282 |
+
| No log | 38.5 | 462 | 0.6982 | 0.7467 | 0.6982 | 0.8356 |
|
| 283 |
+
| No log | 38.6667 | 464 | 0.7086 | 0.7483 | 0.7086 | 0.8418 |
|
| 284 |
+
| No log | 38.8333 | 466 | 0.7406 | 0.72 | 0.7406 | 0.8606 |
|
| 285 |
+
| No log | 39.0 | 468 | 0.7470 | 0.7059 | 0.7470 | 0.8643 |
|
| 286 |
+
| No log | 39.1667 | 470 | 0.7610 | 0.6761 | 0.7610 | 0.8723 |
|
| 287 |
+
| No log | 39.3333 | 472 | 0.7859 | 0.6853 | 0.7859 | 0.8865 |
|
| 288 |
+
| No log | 39.5 | 474 | 0.8338 | 0.6939 | 0.8338 | 0.9131 |
|
| 289 |
+
| No log | 39.6667 | 476 | 0.9261 | 0.6879 | 0.9261 | 0.9623 |
|
| 290 |
+
| No log | 39.8333 | 478 | 0.9915 | 0.6795 | 0.9915 | 0.9957 |
|
| 291 |
+
| No log | 40.0 | 480 | 0.9908 | 0.6624 | 0.9908 | 0.9954 |
|
| 292 |
+
| No log | 40.1667 | 482 | 0.8987 | 0.6571 | 0.8987 | 0.9480 |
|
| 293 |
+
| No log | 40.3333 | 484 | 0.8232 | 0.6618 | 0.8232 | 0.9073 |
|
| 294 |
+
| No log | 40.5 | 486 | 0.7981 | 0.6165 | 0.7981 | 0.8933 |
|
| 295 |
+
| No log | 40.6667 | 488 | 0.7969 | 0.6618 | 0.7969 | 0.8927 |
|
| 296 |
+
| No log | 40.8333 | 490 | 0.8152 | 0.6667 | 0.8152 | 0.9029 |
|
| 297 |
+
| No log | 41.0 | 492 | 0.8723 | 0.6519 | 0.8723 | 0.9340 |
|
| 298 |
+
| No log | 41.1667 | 494 | 0.9674 | 0.6331 | 0.9674 | 0.9836 |
|
| 299 |
+
| No log | 41.3333 | 496 | 1.0269 | 0.6331 | 1.0269 | 1.0134 |
|
| 300 |
+
| No log | 41.5 | 498 | 1.0356 | 0.6324 | 1.0356 | 1.0176 |
|
| 301 |
+
| 0.3561 | 41.6667 | 500 | 0.9762 | 0.6324 | 0.9762 | 0.9880 |
|
| 302 |
+
| 0.3561 | 41.8333 | 502 | 0.9434 | 0.6324 | 0.9434 | 0.9713 |
|
| 303 |
+
| 0.3561 | 42.0 | 504 | 0.9176 | 0.6519 | 0.9176 | 0.9579 |
|
| 304 |
+
| 0.3561 | 42.1667 | 506 | 0.9243 | 0.6324 | 0.9243 | 0.9614 |
|
| 305 |
+
| 0.3561 | 42.3333 | 508 | 0.9505 | 0.6197 | 0.9505 | 0.9749 |
|
| 306 |
+
| 0.3561 | 42.5 | 510 | 0.9568 | 0.6623 | 0.9568 | 0.9782 |
|
| 307 |
+
| 0.3561 | 42.6667 | 512 | 0.9442 | 0.6447 | 0.9442 | 0.9717 |
|
| 308 |
+
| 0.3561 | 42.8333 | 514 | 0.8824 | 0.6405 | 0.8824 | 0.9394 |
|
| 309 |
+
| 0.3561 | 43.0 | 516 | 0.8292 | 0.6667 | 0.8292 | 0.9106 |
|
| 310 |
+
| 0.3561 | 43.1667 | 518 | 0.8208 | 0.6883 | 0.8208 | 0.9060 |
|
| 311 |
+
| 0.3561 | 43.3333 | 520 | 0.8044 | 0.6797 | 0.8044 | 0.8969 |
|
| 312 |
+
| 0.3561 | 43.5 | 522 | 0.8149 | 0.6842 | 0.8149 | 0.9027 |
|
| 313 |
+
| 0.3561 | 43.6667 | 524 | 0.8211 | 0.6928 | 0.8211 | 0.9061 |
|
| 314 |
+
| 0.3561 | 43.8333 | 526 | 0.8170 | 0.6525 | 0.8170 | 0.9039 |
|
| 315 |
+
| 0.3561 | 44.0 | 528 | 0.8057 | 0.6667 | 0.8057 | 0.8976 |
|
| 316 |
+
| 0.3561 | 44.1667 | 530 | 0.8291 | 0.6667 | 0.8291 | 0.9105 |
|
| 317 |
+
| 0.3561 | 44.3333 | 532 | 0.8740 | 0.6471 | 0.8740 | 0.9349 |
|
| 318 |
+
| 0.3561 | 44.5 | 534 | 0.8950 | 0.6087 | 0.8950 | 0.9461 |
|
| 319 |
+
| 0.3561 | 44.6667 | 536 | 0.8777 | 0.6143 | 0.8777 | 0.9369 |
|
| 320 |
+
| 0.3561 | 44.8333 | 538 | 0.8335 | 0.6131 | 0.8335 | 0.9130 |
|
| 321 |
+
| 0.3561 | 45.0 | 540 | 0.8160 | 0.625 | 0.8160 | 0.9033 |
|
| 322 |
+
| 0.3561 | 45.1667 | 542 | 0.8200 | 0.6301 | 0.8200 | 0.9056 |
|
| 323 |
+
|
| 324 |
+
|
| 325 |
+
### Framework versions
|
| 326 |
+
|
| 327 |
+
- Transformers 4.44.2
|
| 328 |
+
- Pytorch 2.4.0+cu118
|
| 329 |
+
- Datasets 2.21.0
|
| 330 |
+
- 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 sha256:60ea644b3ff8a27f2b1fa9a09afc79b414588328b7927792500f62854658c7a6
|
| 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 sha256:9c32f6b723fad92d43110a47c4780821cb15dff6353755ef4e739a0b508054a1
|
| 3 |
+
size 5304
|