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arabert_cross_relevance_task3_fold0

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  1. README.md +85 -85
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@@ -3,20 +3,20 @@ 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: arabert_cross_relevance_task2_fold6
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  results: []
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  ---
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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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- # arabert_cross_relevance_task2_fold6
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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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- - Loss: 0.5925
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- - Qwk: 0.1247
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- - Mse: 0.5913
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  ## Model description
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@@ -47,86 +47,86 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | No log | 0.125 | 2 | 1.0484 | 0.0144 | 1.0495 |
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- | No log | 0.25 | 4 | 0.4722 | 0.0661 | 0.4712 |
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- | No log | 0.375 | 6 | 0.3587 | 0.0337 | 0.3586 |
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- | No log | 0.5 | 8 | 0.3104 | 0.0426 | 0.3106 |
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- | No log | 0.625 | 10 | 0.3347 | 0.1842 | 0.3346 |
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- | No log | 0.75 | 12 | 0.4174 | 0.1571 | 0.4170 |
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- | No log | 0.875 | 14 | 0.3844 | 0.2015 | 0.3843 |
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- | No log | 1.0 | 16 | 0.2810 | 0.2211 | 0.2812 |
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- | No log | 1.125 | 18 | 0.2939 | 0.2330 | 0.2941 |
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- | No log | 1.25 | 20 | 0.3046 | 0.2330 | 0.3047 |
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- | No log | 1.375 | 22 | 0.2859 | 0.2445 | 0.2860 |
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- | No log | 1.5 | 24 | 0.2753 | 0.2406 | 0.2755 |
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- | No log | 1.625 | 26 | 0.2512 | 0.2194 | 0.2515 |
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- | No log | 1.75 | 28 | 0.2794 | 0.2445 | 0.2795 |
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- | No log | 1.875 | 30 | 0.3449 | 0.2103 | 0.3448 |
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- | No log | 2.0 | 32 | 0.3052 | 0.2252 | 0.3052 |
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- | No log | 2.125 | 34 | 0.2622 | 0.2406 | 0.2624 |
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- | No log | 2.25 | 36 | 0.2752 | 0.2445 | 0.2754 |
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- | No log | 2.375 | 38 | 0.3529 | 0.2096 | 0.3530 |
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- | No log | 2.5 | 40 | 0.3863 | 0.2053 | 0.3862 |
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- | No log | 2.625 | 42 | 0.3238 | 0.2239 | 0.3238 |
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- | No log | 2.75 | 44 | 0.2611 | 0.2325 | 0.2612 |
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- | No log | 2.875 | 46 | 0.2541 | 0.2194 | 0.2540 |
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- | No log | 3.0 | 48 | 0.2822 | 0.2224 | 0.2820 |
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- | No log | 3.125 | 50 | 0.3796 | 0.2141 | 0.3790 |
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- | No log | 3.25 | 52 | 0.4184 | 0.1975 | 0.4178 |
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- | No log | 3.375 | 54 | 0.3500 | 0.2226 | 0.3497 |
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- | No log | 3.5 | 56 | 0.2922 | 0.2252 | 0.2922 |
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- | No log | 3.625 | 58 | 0.3018 | 0.2200 | 0.3019 |
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- | No log | 3.75 | 60 | 0.3826 | 0.2125 | 0.3825 |
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- | No log | 3.875 | 62 | 0.4484 | 0.2078 | 0.4482 |
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- | No log | 4.0 | 64 | 0.4422 | 0.1971 | 0.4419 |
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- | No log | 4.125 | 66 | 0.4471 | 0.1900 | 0.4468 |
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- | No log | 4.25 | 68 | 0.3883 | 0.2089 | 0.3881 |
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- | No log | 4.375 | 70 | 0.3712 | 0.2053 | 0.3709 |
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- | No log | 4.5 | 72 | 0.4054 | 0.2125 | 0.4050 |
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- | No log | 4.625 | 74 | 0.4224 | 0.1935 | 0.4219 |
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- | No log | 4.75 | 76 | 0.4248 | 0.2008 | 0.4243 |
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- | No log | 4.875 | 78 | 0.4469 | 0.1830 | 0.4463 |
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- | No log | 5.0 | 80 | 0.5131 | 0.1339 | 0.5123 |
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- | No log | 5.125 | 82 | 0.5222 | 0.1283 | 0.5214 |
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- | No log | 5.25 | 84 | 0.5110 | 0.1302 | 0.5102 |
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- | No log | 5.375 | 86 | 0.4800 | 0.1441 | 0.4793 |
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- | No log | 5.5 | 88 | 0.4837 | 0.1503 | 0.4829 |
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- | No log | 5.625 | 90 | 0.5706 | 0.1391 | 0.5695 |
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- | No log | 5.75 | 92 | 0.6503 | 0.0885 | 0.6490 |
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- | No log | 5.875 | 94 | 0.6117 | 0.1127 | 0.6104 |
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- | No log | 6.0 | 96 | 0.5654 | 0.1391 | 0.5642 |
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- | No log | 6.125 | 98 | 0.5250 | 0.1527 | 0.5240 |
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- | No log | 6.25 | 100 | 0.5182 | 0.1469 | 0.5172 |
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- | No log | 6.375 | 102 | 0.5641 | 0.1230 | 0.5630 |
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- | No log | 6.5 | 104 | 0.6136 | 0.0980 | 0.6124 |
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- | No log | 6.625 | 106 | 0.5738 | 0.1178 | 0.5727 |
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- | No log | 6.75 | 108 | 0.5142 | 0.1455 | 0.5133 |
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- | No log | 6.875 | 110 | 0.5024 | 0.1441 | 0.5015 |
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- | No log | 7.0 | 112 | 0.5299 | 0.1360 | 0.5289 |
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- | No log | 7.125 | 114 | 0.5277 | 0.1322 | 0.5267 |
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- | No log | 7.25 | 116 | 0.5830 | 0.1356 | 0.5818 |
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- | No log | 7.375 | 118 | 0.6347 | 0.1213 | 0.6334 |
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- | No log | 7.5 | 120 | 0.6357 | 0.1162 | 0.6344 |
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- | No log | 7.625 | 122 | 0.5716 | 0.1320 | 0.5704 |
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- | No log | 7.75 | 124 | 0.5196 | 0.1381 | 0.5186 |
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- | No log | 7.875 | 126 | 0.4886 | 0.1528 | 0.4877 |
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- | No log | 8.0 | 128 | 0.4936 | 0.1503 | 0.4927 |
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- | No log | 8.125 | 130 | 0.5221 | 0.1576 | 0.5212 |
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- | No log | 8.25 | 132 | 0.5852 | 0.1247 | 0.5841 |
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- | No log | 8.375 | 134 | 0.6353 | 0.0968 | 0.6341 |
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- | No log | 8.5 | 136 | 0.6372 | 0.0968 | 0.6360 |
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- | No log | 8.625 | 138 | 0.6395 | 0.0968 | 0.6383 |
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- | No log | 8.75 | 140 | 0.6416 | 0.0968 | 0.6403 |
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- | No log | 8.875 | 142 | 0.6267 | 0.1112 | 0.6254 |
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- | No log | 9.0 | 144 | 0.5882 | 0.1211 | 0.5871 |
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- | No log | 9.125 | 146 | 0.5690 | 0.1320 | 0.5679 |
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- | No log | 9.25 | 148 | 0.5639 | 0.1376 | 0.5629 |
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- | No log | 9.375 | 150 | 0.5739 | 0.1265 | 0.5728 |
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- | No log | 9.5 | 152 | 0.5772 | 0.1265 | 0.5761 |
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- | No log | 9.625 | 154 | 0.5840 | 0.1247 | 0.5828 |
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- | No log | 9.75 | 156 | 0.5884 | 0.1247 | 0.5873 |
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- | No log | 9.875 | 158 | 0.5912 | 0.1247 | 0.5900 |
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- | No log | 10.0 | 160 | 0.5925 | 0.1247 | 0.5913 |
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task3_fold0
7
  results: []
8
  ---
9
 
10
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
  should probably proofread and complete it, then remove this comment. -->
12
 
13
+ # arabert_cross_relevance_task3_fold0
14
 
15
  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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+ - Loss: 0.2395
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+ - Qwk: 0.2008
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+ - Mse: 0.2396
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | No log | 0.125 | 2 | 0.6036 | 0.0322 | 0.6039 |
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+ | No log | 0.25 | 4 | 0.2956 | 0.1240 | 0.2957 |
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+ | No log | 0.375 | 6 | 0.2567 | 0.1067 | 0.2568 |
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+ | No log | 0.5 | 8 | 0.2551 | 0.0962 | 0.2553 |
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+ | No log | 0.625 | 10 | 0.2302 | 0.0791 | 0.2304 |
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+ | No log | 0.75 | 12 | 0.2219 | 0.1048 | 0.2221 |
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+ | No log | 0.875 | 14 | 0.2288 | 0.1179 | 0.2291 |
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+ | No log | 1.0 | 16 | 0.2285 | 0.1629 | 0.2287 |
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+ | No log | 1.125 | 18 | 0.2532 | 0.2761 | 0.2534 |
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+ | No log | 1.25 | 20 | 0.2397 | 0.2284 | 0.2399 |
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+ | No log | 1.375 | 22 | 0.2317 | 0.1215 | 0.2320 |
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+ | No log | 1.5 | 24 | 0.2340 | 0.1485 | 0.2342 |
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+ | No log | 1.625 | 26 | 0.2412 | 0.2448 | 0.2414 |
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+ | No log | 1.75 | 28 | 0.2819 | 0.2575 | 0.2820 |
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+ | No log | 1.875 | 30 | 0.2502 | 0.2245 | 0.2503 |
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+ | No log | 2.0 | 32 | 0.2449 | 0.2115 | 0.2452 |
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+ | No log | 2.125 | 34 | 0.2459 | 0.2412 | 0.2461 |
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+ | No log | 2.25 | 36 | 0.2526 | 0.2570 | 0.2528 |
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+ | No log | 2.375 | 38 | 0.2460 | 0.2406 | 0.2462 |
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+ | No log | 2.5 | 40 | 0.2535 | 0.2576 | 0.2536 |
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+ | No log | 2.625 | 42 | 0.2448 | 0.1981 | 0.2449 |
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+ | No log | 2.75 | 44 | 0.2294 | 0.2076 | 0.2296 |
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+ | No log | 2.875 | 46 | 0.2305 | 0.2211 | 0.2306 |
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+ | No log | 3.0 | 48 | 0.2436 | 0.3108 | 0.2438 |
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+ | No log | 3.125 | 50 | 0.2515 | 0.2985 | 0.2516 |
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+ | No log | 3.25 | 52 | 0.2389 | 0.2228 | 0.2391 |
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+ | No log | 3.375 | 54 | 0.2444 | 0.2286 | 0.2445 |
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+ | No log | 3.5 | 56 | 0.2431 | 0.1981 | 0.2433 |
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+ | No log | 3.625 | 58 | 0.2417 | 0.1722 | 0.2418 |
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+ | No log | 3.75 | 60 | 0.2397 | 0.1740 | 0.2398 |
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+ | No log | 3.875 | 62 | 0.2456 | 0.1383 | 0.2457 |
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+ | No log | 4.0 | 64 | 0.2512 | 0.1025 | 0.2513 |
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+ | No log | 4.125 | 66 | 0.2350 | 0.1347 | 0.2351 |
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+ | No log | 4.25 | 68 | 0.2301 | 0.2110 | 0.2302 |
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+ | No log | 4.375 | 70 | 0.2327 | 0.2653 | 0.2328 |
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+ | No log | 4.5 | 72 | 0.2250 | 0.2641 | 0.2252 |
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+ | No log | 4.625 | 74 | 0.2301 | 0.2694 | 0.2303 |
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+ | No log | 4.75 | 76 | 0.2409 | 0.3036 | 0.2411 |
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+ | No log | 4.875 | 78 | 0.2453 | 0.2611 | 0.2454 |
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+ | No log | 5.0 | 80 | 0.2448 | 0.2241 | 0.2450 |
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+ | No log | 5.125 | 82 | 0.2464 | 0.1904 | 0.2466 |
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+ | No log | 5.25 | 84 | 0.2462 | 0.1493 | 0.2465 |
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+ | No log | 5.375 | 86 | 0.2336 | 0.1137 | 0.2338 |
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+ | No log | 5.5 | 88 | 0.2304 | 0.1648 | 0.2306 |
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+ | No log | 5.625 | 90 | 0.2297 | 0.1804 | 0.2298 |
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+ | No log | 5.75 | 92 | 0.2240 | 0.1481 | 0.2242 |
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+ | No log | 5.875 | 94 | 0.2360 | 0.1350 | 0.2362 |
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+ | No log | 6.0 | 96 | 0.2435 | 0.1401 | 0.2438 |
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+ | No log | 6.125 | 98 | 0.2332 | 0.1773 | 0.2334 |
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+ | No log | 6.25 | 100 | 0.2361 | 0.1842 | 0.2363 |
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+ | No log | 6.375 | 102 | 0.2427 | 0.1902 | 0.2429 |
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+ | No log | 6.5 | 104 | 0.2452 | 0.2024 | 0.2454 |
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+ | No log | 6.625 | 106 | 0.2452 | 0.1985 | 0.2454 |
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+ | No log | 6.75 | 108 | 0.2439 | 0.2049 | 0.2441 |
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+ | No log | 6.875 | 110 | 0.2397 | 0.2015 | 0.2399 |
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+ | No log | 7.0 | 112 | 0.2346 | 0.2150 | 0.2347 |
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+ | No log | 7.125 | 114 | 0.2303 | 0.2182 | 0.2304 |
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+ | No log | 7.25 | 116 | 0.2253 | 0.2061 | 0.2254 |
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+ | No log | 7.375 | 118 | 0.2231 | 0.2023 | 0.2232 |
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+ | No log | 7.5 | 120 | 0.2230 | 0.1999 | 0.2231 |
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+ | No log | 7.625 | 122 | 0.2268 | 0.2027 | 0.2270 |
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+ | No log | 7.75 | 124 | 0.2309 | 0.2117 | 0.2310 |
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+ | No log | 7.875 | 126 | 0.2333 | 0.2069 | 0.2334 |
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+ | No log | 8.0 | 128 | 0.2363 | 0.2151 | 0.2364 |
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+ | No log | 8.125 | 130 | 0.2387 | 0.2141 | 0.2389 |
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+ | No log | 8.25 | 132 | 0.2410 | 0.2151 | 0.2412 |
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+ | No log | 8.375 | 134 | 0.2430 | 0.1999 | 0.2432 |
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+ | No log | 8.5 | 136 | 0.2449 | 0.1974 | 0.2450 |
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+ | No log | 8.625 | 138 | 0.2463 | 0.1906 | 0.2465 |
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+ | No log | 8.75 | 140 | 0.2479 | 0.1963 | 0.2480 |
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+ | No log | 8.875 | 142 | 0.2460 | 0.2045 | 0.2462 |
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+ | No log | 9.0 | 144 | 0.2447 | 0.2161 | 0.2448 |
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+ | No log | 9.125 | 146 | 0.2444 | 0.2145 | 0.2446 |
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+ | No log | 9.25 | 148 | 0.2431 | 0.2145 | 0.2432 |
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+ | No log | 9.375 | 150 | 0.2414 | 0.2036 | 0.2416 |
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+ | No log | 9.5 | 152 | 0.2400 | 0.2000 | 0.2401 |
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+ | No log | 9.625 | 154 | 0.2390 | 0.2044 | 0.2392 |
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+ | No log | 9.75 | 156 | 0.2391 | 0.2044 | 0.2392 |
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+ | No log | 9.875 | 158 | 0.2394 | 0.2008 | 0.2395 |
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+ | No log | 10.0 | 160 | 0.2395 | 0.2008 | 0.2396 |
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  ### Framework versions