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arabert_cross_relevance_task2_fold2

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  1. README.md +89 -41
  2. model.safetensors +1 -1
  3. runs/Sep02_02-03-55_a09311c9b42d/events.out.tfevents.1725242637.a09311c9b42d.22.0 +3 -0
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  6. runs/Sep02_02-16-18_a09311c9b42d/events.out.tfevents.1725244058.a09311c9b42d.22.3 +3 -0
  7. runs/Sep02_02-27-39_a09311c9b42d/events.out.tfevents.1725244060.a09311c9b42d.22.4 +3 -0
  8. runs/Sep02_02-27-39_a09311c9b42d/events.out.tfevents.1725244717.a09311c9b42d.22.5 +3 -0
  9. runs/Sep02_02-38-39_a09311c9b42d/events.out.tfevents.1725244720.a09311c9b42d.22.6 +3 -0
  10. runs/Sep02_02-38-39_a09311c9b42d/events.out.tfevents.1725245477.a09311c9b42d.22.7 +3 -0
  11. runs/Sep02_02-51-19_a09311c9b42d/events.out.tfevents.1725245480.a09311c9b42d.22.8 +3 -0
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  13. runs/Sep02_03-03-13_a09311c9b42d/events.out.tfevents.1725246194.a09311c9b42d.22.10 +3 -0
  14. runs/Sep02_03-03-13_a09311c9b42d/events.out.tfevents.1725246944.a09311c9b42d.22.11 +3 -0
  15. runs/Sep02_03-15-45_a09311c9b42d/events.out.tfevents.1725246946.a09311c9b42d.22.12 +3 -0
  16. runs/Sep02_03-15-45_a09311c9b42d/events.out.tfevents.1725247646.a09311c9b42d.22.13 +3 -0
  17. runs/Sep02_03-27-28_a09311c9b42d/events.out.tfevents.1725247649.a09311c9b42d.22.14 +3 -0
  18. runs/Sep02_03-27-28_a09311c9b42d/events.out.tfevents.1725248407.a09311c9b42d.22.15 +3 -0
  19. runs/Sep02_03-40-09_a09311c9b42d/events.out.tfevents.1725248410.a09311c9b42d.22.16 +3 -0
  20. runs/Sep02_03-40-09_a09311c9b42d/events.out.tfevents.1725249089.a09311c9b42d.22.17 +3 -0
  21. runs/Sep02_03-51-31_a09311c9b42d/events.out.tfevents.1725249092.a09311c9b42d.22.18 +3 -0
  22. training_args.bin +1 -1
README.md CHANGED
@@ -3,20 +3,20 @@ base_model: aubmindlab/bert-base-arabertv02
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  tags:
4
  - generated_from_trainer
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  model-index:
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- - name: arabert_cross_relevance_task2_fold2
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  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.
16
  It achieves the following results on the evaluation set:
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- - Loss: 0.2974
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  - Qwk: 0.0
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- - Mse: 0.2974
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  ## Model description
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@@ -36,49 +36,97 @@ More information needed
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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: 16
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- - eval_batch_size: 16
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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: 1
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46
  ### Training results
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48
- | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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- |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
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- | No log | 0.0308 | 2 | 1.8592 | 0.0 | 1.8592 |
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- | No log | 0.0615 | 4 | 0.5542 | 0.0521 | 0.5542 |
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- | No log | 0.0923 | 6 | 0.2790 | -0.0315 | 0.2790 |
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- | No log | 0.1231 | 8 | 0.3268 | 0.0812 | 0.3268 |
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- | No log | 0.1538 | 10 | 0.2739 | 0.0068 | 0.2739 |
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- | No log | 0.1846 | 12 | 0.2872 | 0.0 | 0.2872 |
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- | No log | 0.2154 | 14 | 0.3469 | 0.0 | 0.3469 |
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- | No log | 0.2462 | 16 | 0.3134 | 0.0 | 0.3134 |
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- | No log | 0.2769 | 18 | 0.2680 | 0.0 | 0.2680 |
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- | No log | 0.3077 | 20 | 0.2818 | -0.0034 | 0.2818 |
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- | No log | 0.3385 | 22 | 0.3013 | -0.0461 | 0.3013 |
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- | No log | 0.3692 | 24 | 0.3036 | -0.0714 | 0.3036 |
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- | No log | 0.4 | 26 | 0.3135 | 0.0 | 0.3135 |
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- | No log | 0.4308 | 28 | 0.3150 | 0.0 | 0.3150 |
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- | No log | 0.4615 | 30 | 0.3118 | 0.0 | 0.3118 |
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- | No log | 0.4923 | 32 | 0.3083 | -0.0096 | 0.3083 |
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- | No log | 0.5231 | 34 | 0.3294 | 0.0432 | 0.3294 |
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- | No log | 0.5538 | 36 | 0.3784 | 0.0432 | 0.3784 |
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- | No log | 0.5846 | 38 | 0.4043 | 0.0432 | 0.4043 |
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- | No log | 0.6154 | 40 | 0.3829 | 0.0432 | 0.3829 |
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- | No log | 0.6462 | 42 | 0.3424 | 0.0 | 0.3424 |
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- | No log | 0.6769 | 44 | 0.3208 | 0.0 | 0.3208 |
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- | No log | 0.7077 | 46 | 0.3133 | 0.0 | 0.3133 |
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- | No log | 0.7385 | 48 | 0.3084 | 0.0 | 0.3084 |
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- | No log | 0.7692 | 50 | 0.3050 | 0.0 | 0.3050 |
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- | No log | 0.8 | 52 | 0.3061 | 0.0 | 0.3061 |
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- | No log | 0.8308 | 54 | 0.3000 | 0.0 | 0.3000 |
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- | No log | 0.8615 | 56 | 0.2974 | 0.0 | 0.2974 |
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- | No log | 0.8923 | 58 | 0.2961 | 0.0 | 0.2961 |
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- | No log | 0.9231 | 60 | 0.2955 | 0.0 | 0.2955 |
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- | No log | 0.9538 | 62 | 0.2966 | 0.0 | 0.2966 |
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- | No log | 0.9846 | 64 | 0.2974 | 0.0 | 0.2974 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
82
 
83
 
84
  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task2_fold1
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_fold1
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.
16
  It achieves the following results on the evaluation set:
17
+ - Loss: 0.2539
18
  - Qwk: 0.0
19
+ - Mse: 0.2539
20
 
21
  ## Model description
22
 
 
36
 
37
  The following hyperparameters were used during training:
38
  - learning_rate: 2e-05
39
+ - train_batch_size: 64
40
+ - eval_batch_size: 64
41
  - seed: 42
42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
  - lr_scheduler_type: linear
44
+ - num_epochs: 10
45
 
46
  ### Training results
47
 
48
+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
49
+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
50
+ | 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
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