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arabert_cross_relevance_task2_fold2

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  1. README.md +92 -87
README.md CHANGED
@@ -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_fold1
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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_fold1
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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: 0.2539
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- - Qwk: 0.0
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- - Mse: 0.2539
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  ## Model description
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@@ -45,88 +45,93 @@ The following hyperparameters were used during training:
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  ### Training results
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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 | 0.8503 | 0.0176 | 0.8493 |
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- | No log | 0.25 | 4 | 0.3494 | 0.1224 | 0.3496 |
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- | No log | 0.375 | 6 | 0.5004 | 0.0515 | 0.5009 |
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- | No log | 0.5 | 8 | 0.3323 | -0.0164 | 0.3328 |
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- | No log | 0.625 | 10 | 0.3005 | 0.0 | 0.3007 |
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- | No log | 0.75 | 12 | 0.3118 | 0.0122 | 0.3119 |
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- | No log | 0.875 | 14 | 0.3876 | 0.0454 | 0.3880 |
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- | No log | 1.0 | 16 | 0.4447 | -0.0079 | 0.4455 |
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- | No log | 1.125 | 18 | 0.4798 | -0.1341 | 0.4806 |
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- | No log | 1.25 | 20 | 0.5158 | -0.0658 | 0.5166 |
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- | No log | 1.375 | 22 | 0.3941 | -0.0135 | 0.3946 |
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- | No log | 1.5 | 24 | 0.3295 | -0.0042 | 0.3298 |
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- | No log | 1.625 | 26 | 0.3244 | 0.0 | 0.3247 |
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- | No log | 1.75 | 28 | 0.3471 | -0.0164 | 0.3476 |
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- | No log | 1.875 | 30 | 0.3538 | -0.0042 | 0.3543 |
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- | No log | 2.0 | 32 | 0.3130 | 0.0 | 0.3134 |
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- | No log | 2.125 | 34 | 0.2809 | 0.0 | 0.2811 |
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- | No log | 2.25 | 36 | 0.2793 | 0.0 | 0.2795 |
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- | No log | 2.375 | 38 | 0.3047 | 0.0 | 0.3050 |
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- | No log | 2.5 | 40 | 0.3696 | 0.0582 | 0.3702 |
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- | No log | 2.625 | 42 | 0.3992 | 0.1381 | 0.3999 |
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- | No log | 2.75 | 44 | 0.3456 | -0.0172 | 0.3461 |
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- | No log | 2.875 | 46 | 0.2805 | 0.0 | 0.2807 |
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- | No log | 3.0 | 48 | 0.2675 | 0.0 | 0.2675 |
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- | No log | 3.125 | 50 | 0.2713 | 0.0 | 0.2712 |
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- | No log | 3.25 | 52 | 0.2691 | 0.0 | 0.2691 |
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- | No log | 3.375 | 54 | 0.2726 | 0.0 | 0.2727 |
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- | No log | 3.5 | 56 | 0.2951 | 0.0 | 0.2954 |
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- | No log | 3.625 | 58 | 0.3397 | 0.0452 | 0.3402 |
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- | No log | 3.75 | 60 | 0.3175 | 0.0450 | 0.3180 |
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- | No log | 3.875 | 62 | 0.2714 | 0.0 | 0.2716 |
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- | No log | 4.0 | 64 | 0.2574 | 0.0 | 0.2573 |
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- | No log | 4.125 | 66 | 0.2608 | 0.0 | 0.2606 |
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- | No log | 4.25 | 68 | 0.2590 | 0.0 | 0.2590 |
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- | No log | 4.375 | 70 | 0.2813 | 0.0 | 0.2815 |
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- | No log | 4.5 | 72 | 0.3090 | 0.0 | 0.3094 |
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- | No log | 4.625 | 74 | 0.3106 | 0.0 | 0.3110 |
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- | No log | 4.75 | 76 | 0.2951 | 0.0 | 0.2954 |
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- | No log | 4.875 | 78 | 0.2767 | 0.0 | 0.2769 |
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- | No log | 5.0 | 80 | 0.2684 | 0.0 | 0.2685 |
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- | No log | 5.125 | 82 | 0.2825 | 0.0122 | 0.2829 |
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- | No log | 5.25 | 84 | 0.3266 | 0.0746 | 0.3272 |
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- | No log | 5.375 | 86 | 0.3486 | 0.0841 | 0.3493 |
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- | No log | 5.5 | 88 | 0.3299 | 0.0833 | 0.3305 |
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- | No log | 5.625 | 90 | 0.2905 | 0.0245 | 0.2909 |
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- | No log | 5.75 | 92 | 0.2675 | 0.0 | 0.2677 |
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- | No log | 5.875 | 94 | 0.2613 | 0.0 | 0.2614 |
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- | No log | 6.0 | 96 | 0.2609 | 0.0 | 0.2610 |
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- | No log | 6.125 | 98 | 0.2647 | 0.0 | 0.2648 |
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- | No log | 6.25 | 100 | 0.2690 | 0.0 | 0.2692 |
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- | No log | 6.375 | 102 | 0.2672 | 0.0 | 0.2675 |
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- | No log | 6.5 | 104 | 0.2632 | 0.0 | 0.2633 |
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- | No log | 6.625 | 106 | 0.2554 | 0.0 | 0.2554 |
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- | No log | 6.75 | 108 | 0.2637 | 0.0 | 0.2635 |
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- | No log | 6.875 | 110 | 0.2670 | -0.0118 | 0.2667 |
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- | No log | 7.0 | 112 | 0.2544 | 0.0 | 0.2543 |
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- | No log | 7.125 | 114 | 0.2718 | 0.0245 | 0.2720 |
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- | No log | 7.25 | 116 | 0.2966 | 0.0161 | 0.2970 |
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- | No log | 7.375 | 118 | 0.2940 | 0.0161 | 0.2944 |
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- | No log | 7.5 | 120 | 0.2714 | 0.0245 | 0.2717 |
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- | No log | 7.625 | 122 | 0.2558 | 0.0 | 0.2559 |
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- | No log | 7.75 | 124 | 0.2559 | 0.0 | 0.2558 |
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- | No log | 7.875 | 126 | 0.2567 | 0.0 | 0.2565 |
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- | No log | 8.0 | 128 | 0.2560 | 0.0 | 0.2559 |
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- | No log | 8.125 | 130 | 0.2526 | 0.0 | 0.2526 |
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- | No log | 8.25 | 132 | 0.2523 | 0.0 | 0.2524 |
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- | No log | 8.375 | 134 | 0.2528 | 0.0 | 0.2528 |
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- | No log | 8.5 | 136 | 0.2536 | 0.0 | 0.2537 |
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- | No log | 8.625 | 138 | 0.2528 | 0.0 | 0.2529 |
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- | No log | 8.75 | 140 | 0.2516 | 0.0 | 0.2516 |
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- | No log | 8.875 | 142 | 0.2517 | 0.0 | 0.2516 |
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- | No log | 9.0 | 144 | 0.2521 | 0.0 | 0.2521 |
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- | No log | 9.125 | 146 | 0.2526 | 0.0 | 0.2526 |
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- | No log | 9.25 | 148 | 0.2531 | 0.0 | 0.2531 |
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- | No log | 9.375 | 150 | 0.2534 | 0.0 | 0.2534 |
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- | No log | 9.5 | 152 | 0.2534 | 0.0 | 0.2534 |
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- | No log | 9.625 | 154 | 0.2536 | 0.0 | 0.2536 |
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- | No log | 9.75 | 156 | 0.2537 | 0.0 | 0.2538 |
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- | No log | 9.875 | 158 | 0.2538 | 0.0 | 0.2539 |
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- | No log | 10.0 | 160 | 0.2539 | 0.0 | 0.2539 |
 
 
 
 
 
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task2_fold2
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_task2_fold2
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: 0.6695
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+ - Qwk: 0.0252
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+ - Mse: 0.6695
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
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+ | No log | 0.1176 | 2 | 0.3996 | 0.0319 | 0.3996 |
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+ | No log | 0.2353 | 4 | 0.4069 | 0.0909 | 0.4069 |
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+ | No log | 0.3529 | 6 | 0.3579 | -0.0167 | 0.3579 |
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+ | No log | 0.4706 | 8 | 0.3710 | 0.0 | 0.3710 |
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+ | No log | 0.5882 | 10 | 0.3188 | -0.0235 | 0.3188 |
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+ | No log | 0.7059 | 12 | 0.3518 | -0.1194 | 0.3518 |
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+ | No log | 0.8235 | 14 | 0.3275 | -0.0616 | 0.3275 |
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+ | No log | 0.9412 | 16 | 0.3104 | 0.0 | 0.3104 |
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+ | No log | 1.0588 | 18 | 0.3535 | 0.0 | 0.3535 |
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+ | No log | 1.1765 | 20 | 0.3752 | 0.0 | 0.3752 |
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+ | No log | 1.2941 | 22 | 0.3373 | 0.0 | 0.3373 |
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+ | No log | 1.4118 | 24 | 0.3102 | 0.0 | 0.3102 |
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+ | No log | 1.5294 | 26 | 0.2963 | 0.0 | 0.2963 |
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+ | No log | 1.6471 | 28 | 0.2934 | 0.0 | 0.2934 |
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+ | No log | 1.7647 | 30 | 0.2889 | 0.0 | 0.2889 |
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+ | No log | 1.8824 | 32 | 0.2810 | 0.0 | 0.2810 |
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+ | No log | 2.0 | 34 | 0.2866 | -0.0235 | 0.2866 |
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+ | No log | 2.1176 | 36 | 0.3061 | 0.0068 | 0.3061 |
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+ | No log | 2.2353 | 38 | 0.3392 | -0.0433 | 0.3392 |
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+ | No log | 2.3529 | 40 | 0.3020 | -0.0034 | 0.3020 |
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+ | No log | 2.4706 | 42 | 0.2698 | -0.0235 | 0.2698 |
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+ | No log | 2.5882 | 44 | 0.2696 | -0.0235 | 0.2696 |
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+ | No log | 2.7059 | 46 | 0.2745 | -0.0235 | 0.2745 |
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+ | No log | 2.8235 | 48 | 0.2757 | -0.0235 | 0.2757 |
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+ | No log | 2.9412 | 50 | 0.3094 | 0.0 | 0.3094 |
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+ | No log | 3.0588 | 52 | 0.3116 | 0.0 | 0.3116 |
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+ | No log | 3.1765 | 54 | 0.2780 | 0.0 | 0.2780 |
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+ | No log | 3.2941 | 56 | 0.2758 | -0.0235 | 0.2758 |
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+ | No log | 3.4118 | 58 | 0.2767 | -0.0235 | 0.2767 |
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+ | No log | 3.5294 | 60 | 0.2717 | -0.0235 | 0.2717 |
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+ | No log | 3.6471 | 62 | 0.2957 | 0.0 | 0.2957 |
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+ | No log | 3.7647 | 64 | 0.3009 | 0.0 | 0.3009 |
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+ | No log | 3.8824 | 66 | 0.2803 | 0.0 | 0.2803 |
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+ | No log | 4.0 | 68 | 0.2754 | -0.0235 | 0.2754 |
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+ | No log | 4.1176 | 70 | 0.2758 | -0.0235 | 0.2758 |
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+ | No log | 4.2353 | 72 | 0.2948 | -0.0235 | 0.2948 |
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+ | No log | 4.3529 | 74 | 0.3207 | 0.0 | 0.3207 |
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+ | No log | 4.4706 | 76 | 0.3204 | 0.0 | 0.3204 |
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+ | No log | 4.5882 | 78 | 0.2864 | -0.0235 | 0.2864 |
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+ | No log | 4.7059 | 80 | 0.2756 | -0.0235 | 0.2756 |
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+ | No log | 4.8235 | 82 | 0.2778 | -0.0235 | 0.2778 |
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+ | No log | 4.9412 | 84 | 0.2766 | -0.0235 | 0.2766 |
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+ | No log | 5.0588 | 86 | 0.2988 | -0.0235 | 0.2988 |
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+ | No log | 5.1765 | 88 | 0.3889 | 0.0224 | 0.3889 |
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+ | No log | 5.2941 | 90 | 0.4631 | 0.0123 | 0.4631 |
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+ | No log | 5.4118 | 92 | 0.4091 | 0.0224 | 0.4091 |
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+ | No log | 5.5294 | 94 | 0.3390 | -0.0235 | 0.3390 |
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+ | No log | 5.6471 | 96 | 0.3069 | -0.0235 | 0.3069 |
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+ | No log | 5.7647 | 98 | 0.3133 | -0.0235 | 0.3133 |
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+ | No log | 5.8824 | 100 | 0.3527 | -0.0235 | 0.3527 |
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+ | No log | 6.0 | 102 | 0.3823 | -0.0235 | 0.3823 |
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+ | No log | 6.1176 | 104 | 0.3926 | -0.0096 | 0.3926 |
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+ | No log | 6.2353 | 106 | 0.3681 | -0.0235 | 0.3681 |
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+ | No log | 6.3529 | 108 | 0.3415 | -0.0235 | 0.3415 |
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+ | No log | 6.4706 | 110 | 0.3362 | -0.0235 | 0.3362 |
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+ | No log | 6.5882 | 112 | 0.3928 | -0.0323 | 0.3928 |
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+ | No log | 6.7059 | 114 | 0.4304 | -0.0093 | 0.4304 |
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+ | No log | 6.8235 | 116 | 0.4880 | 0.0152 | 0.4880 |
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+ | No log | 6.9412 | 118 | 0.5316 | -0.0043 | 0.5316 |
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+ | No log | 7.0588 | 120 | 0.5155 | 0.0090 | 0.5155 |
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+ | No log | 7.1765 | 122 | 0.4655 | 0.0135 | 0.4655 |
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+ | No log | 7.2941 | 124 | 0.4459 | 0.0029 | 0.4459 |
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+ | No log | 7.4118 | 126 | 0.4302 | -0.0180 | 0.4302 |
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+ | No log | 7.5294 | 128 | 0.4389 | -0.0260 | 0.4389 |
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+ | No log | 7.6471 | 130 | 0.4613 | -0.0025 | 0.4613 |
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+ | No log | 7.7647 | 132 | 0.4740 | 0.0311 | 0.4740 |
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+ | No log | 7.8824 | 134 | 0.4735 | 0.0311 | 0.4735 |
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+ | No log | 8.0 | 136 | 0.4930 | 0.0088 | 0.4930 |
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+ | No log | 8.1176 | 138 | 0.5329 | 0.0102 | 0.5329 |
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+ | No log | 8.2353 | 140 | 0.5907 | -0.0105 | 0.5907 |
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+ | No log | 8.3529 | 142 | 0.6354 | -0.0082 | 0.6354 |
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+ | No log | 8.4706 | 144 | 0.6447 | -0.0082 | 0.6447 |
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+ | No log | 8.5882 | 146 | 0.6437 | 0.0032 | 0.6437 |
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+ | No log | 8.7059 | 148 | 0.6301 | -0.0201 | 0.6301 |
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+ | No log | 8.8235 | 150 | 0.6096 | -0.0201 | 0.6096 |
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+ | No log | 8.9412 | 152 | 0.6030 | -0.0201 | 0.6030 |
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+ | No log | 9.0588 | 154 | 0.6322 | -0.0082 | 0.6322 |
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+ | No log | 9.1765 | 156 | 0.6675 | 0.0142 | 0.6675 |
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+ | No log | 9.2941 | 158 | 0.7002 | 0.0252 | 0.7002 |
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+ | No log | 9.4118 | 160 | 0.7136 | 0.0455 | 0.7136 |
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+ | No log | 9.5294 | 162 | 0.7118 | 0.0455 | 0.7118 |
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+ | No log | 9.6471 | 164 | 0.7001 | 0.0355 | 0.7001 |
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+ | No log | 9.7647 | 166 | 0.6860 | 0.0252 | 0.6860 |
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+ | No log | 9.8824 | 168 | 0.6738 | 0.0252 | 0.6738 |
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+ | No log | 10.0 | 170 | 0.6695 | 0.0252 | 0.6695 |
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  ### Framework versions