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arabert_cross_relevance_task3_fold6

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  1. README.md +90 -43
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README.md CHANGED
@@ -3,20 +3,20 @@ base_model: aubmindlab/bert-base-arabertv02
3
  tags:
4
  - generated_from_trainer
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  model-index:
6
- - name: arabert_cross_relevance_task3_fold6
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_fold6
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: 0.3083
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- - Qwk: 0.2354
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- - Mse: 0.3090
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  ## Model description
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@@ -36,50 +36,97 @@ More information needed
36
 
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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
42
  - 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
47
 
48
- | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
49
- |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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- | No log | 0.0299 | 2 | 1.6498 | 0.0 | 1.6481 |
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- | No log | 0.0597 | 4 | 0.5644 | 0.1146 | 0.5641 |
52
- | No log | 0.0896 | 6 | 0.2749 | 0.1588 | 0.2742 |
53
- | No log | 0.1194 | 8 | 0.3064 | 0.1012 | 0.3054 |
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- | No log | 0.1493 | 10 | 0.2890 | 0.1187 | 0.2882 |
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- | No log | 0.1791 | 12 | 0.2842 | 0.2003 | 0.2837 |
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- | No log | 0.2090 | 14 | 0.3266 | 0.2050 | 0.3261 |
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- | No log | 0.2388 | 16 | 0.3931 | 0.1809 | 0.3897 |
58
- | No log | 0.2687 | 18 | 0.3763 | 0.1896 | 0.3731 |
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- | No log | 0.2985 | 20 | 0.3147 | 0.2173 | 0.3125 |
60
- | No log | 0.3284 | 22 | 0.3526 | 0.2076 | 0.3492 |
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- | No log | 0.3582 | 24 | 0.3678 | 0.2313 | 0.3642 |
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- | No log | 0.3881 | 26 | 0.3518 | 0.3051 | 0.3497 |
63
- | No log | 0.4179 | 28 | 0.3659 | 0.2615 | 0.3636 |
64
- | No log | 0.4478 | 30 | 0.3513 | 0.2287 | 0.3494 |
65
- | No log | 0.4776 | 32 | 0.3355 | 0.2393 | 0.3340 |
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- | No log | 0.5075 | 34 | 0.3257 | 0.2449 | 0.3250 |
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- | No log | 0.5373 | 36 | 0.3077 | 0.2412 | 0.3076 |
68
- | No log | 0.5672 | 38 | 0.3002 | 0.2291 | 0.3005 |
69
- | No log | 0.5970 | 40 | 0.3033 | 0.2330 | 0.3037 |
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- | No log | 0.6269 | 42 | 0.3014 | 0.2330 | 0.3019 |
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- | No log | 0.6567 | 44 | 0.3067 | 0.2330 | 0.3072 |
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- | No log | 0.6866 | 46 | 0.3179 | 0.2330 | 0.3186 |
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- | No log | 0.7164 | 48 | 0.3217 | 0.2392 | 0.3224 |
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- | No log | 0.7463 | 50 | 0.3119 | 0.2543 | 0.3125 |
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- | No log | 0.7761 | 52 | 0.3115 | 0.2543 | 0.3122 |
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- | No log | 0.8060 | 54 | 0.3159 | 0.2385 | 0.3166 |
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- | No log | 0.8358 | 56 | 0.3075 | 0.2480 | 0.3081 |
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- | No log | 0.8657 | 58 | 0.3073 | 0.2354 | 0.3079 |
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- | No log | 0.8955 | 60 | 0.3057 | 0.2354 | 0.3064 |
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- | No log | 0.9254 | 62 | 0.3067 | 0.2354 | 0.3073 |
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- | No log | 0.9552 | 64 | 0.3081 | 0.2354 | 0.3088 |
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- | No log | 0.9851 | 66 | 0.3083 | 0.2354 | 0.3090 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
83
 
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85
  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task3_fold5
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_fold5
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: 0.2278
18
+ - Qwk: 0.3503
19
+ - Mse: 0.2272
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 | 0.4369 | 0.2251 | 0.4365 |
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+ | No log | 0.25 | 4 | 0.2909 | 0.1687 | 0.2903 |
52
+ | No log | 0.375 | 6 | 0.2730 | 0.2811 | 0.2726 |
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+ | No log | 0.5 | 8 | 0.3037 | 0.3049 | 0.3032 |
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+ | No log | 0.625 | 10 | 0.2562 | 0.2310 | 0.2559 |
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+ | No log | 0.75 | 12 | 0.2376 | 0.3126 | 0.2374 |
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+ | No log | 0.875 | 14 | 0.2395 | 0.3156 | 0.2394 |
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+ | No log | 1.0 | 16 | 0.2207 | 0.3200 | 0.2206 |
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+ | No log | 1.125 | 18 | 0.2110 | 0.3141 | 0.2108 |
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+ | No log | 1.25 | 20 | 0.2044 | 0.3240 | 0.2042 |
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+ | No log | 1.375 | 22 | 0.1940 | 0.3474 | 0.1939 |
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+ | No log | 1.5 | 24 | 0.1935 | 0.3423 | 0.1934 |
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+ | No log | 1.625 | 26 | 0.1971 | 0.3465 | 0.1970 |
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+ | No log | 1.75 | 28 | 0.1987 | 0.3444 | 0.1987 |
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+ | No log | 1.875 | 30 | 0.1940 | 0.3650 | 0.1939 |
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+ | No log | 2.0 | 32 | 0.1935 | 0.3667 | 0.1934 |
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+ | No log | 2.125 | 34 | 0.1905 | 0.3581 | 0.1903 |
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+ | No log | 2.25 | 36 | 0.1874 | 0.3617 | 0.1872 |
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+ | No log | 2.375 | 38 | 0.1955 | 0.3549 | 0.1954 |
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+ | No log | 2.5 | 40 | 0.1888 | 0.3513 | 0.1887 |
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+ | No log | 2.625 | 42 | 0.1910 | 0.3504 | 0.1908 |
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+ | No log | 2.75 | 44 | 0.1989 | 0.3557 | 0.1987 |
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+ | No log | 2.875 | 46 | 0.1822 | 0.3658 | 0.1820 |
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+ | No log | 3.0 | 48 | 0.1794 | 0.3695 | 0.1792 |
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+ | No log | 3.125 | 50 | 0.1806 | 0.3586 | 0.1804 |
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+ | No log | 3.25 | 52 | 0.1801 | 0.3642 | 0.1799 |
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+ | No log | 3.375 | 54 | 0.1932 | 0.3566 | 0.1930 |
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+ | No log | 3.5 | 56 | 0.1965 | 0.3665 | 0.1964 |
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+ | No log | 3.625 | 58 | 0.1835 | 0.3933 | 0.1832 |
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+ | No log | 3.75 | 60 | 0.1823 | 0.4014 | 0.1821 |
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+ | No log | 3.875 | 62 | 0.1810 | 0.3904 | 0.1808 |
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+ | No log | 4.0 | 64 | 0.1812 | 0.3641 | 0.1809 |
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+ | No log | 4.125 | 66 | 0.1872 | 0.3508 | 0.1869 |
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+ | No log | 4.25 | 68 | 0.1876 | 0.3444 | 0.1873 |
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+ | No log | 4.375 | 70 | 0.1871 | 0.3465 | 0.1869 |
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+ | No log | 4.5 | 72 | 0.1839 | 0.3476 | 0.1836 |
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+ | No log | 4.625 | 74 | 0.1851 | 0.3502 | 0.1848 |
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+ | No log | 4.75 | 76 | 0.1995 | 0.3556 | 0.1992 |
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+ | No log | 4.875 | 78 | 0.2297 | 0.3406 | 0.2295 |
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+ | No log | 5.0 | 80 | 0.2197 | 0.3527 | 0.2195 |
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+ | No log | 5.125 | 82 | 0.2076 | 0.3687 | 0.2074 |
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+ | No log | 5.25 | 84 | 0.2032 | 0.3594 | 0.2029 |
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+ | No log | 5.375 | 86 | 0.1949 | 0.3789 | 0.1946 |
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+ | No log | 5.5 | 88 | 0.1891 | 0.3720 | 0.1888 |
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+ | No log | 5.625 | 90 | 0.1897 | 0.3616 | 0.1894 |
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+ | No log | 5.75 | 92 | 0.2058 | 0.3531 | 0.2054 |
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+ | No log | 5.875 | 94 | 0.2551 | 0.3116 | 0.2547 |
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+ | No log | 6.0 | 96 | 0.2912 | 0.2956 | 0.2910 |
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+ | No log | 6.125 | 98 | 0.2694 | 0.3103 | 0.2690 |
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+ | No log | 6.25 | 100 | 0.2180 | 0.3539 | 0.2176 |
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+ | No log | 6.375 | 102 | 0.1895 | 0.3898 | 0.1891 |
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+ | No log | 6.5 | 104 | 0.1849 | 0.3916 | 0.1845 |
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+ | No log | 6.625 | 106 | 0.1941 | 0.3673 | 0.1936 |
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+ | No log | 6.75 | 108 | 0.2121 | 0.3477 | 0.2117 |
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+ | No log | 6.875 | 110 | 0.2249 | 0.3320 | 0.2245 |
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+ | No log | 7.0 | 112 | 0.2260 | 0.3320 | 0.2256 |
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+ | No log | 7.125 | 114 | 0.2089 | 0.3539 | 0.2085 |
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+ | No log | 7.25 | 116 | 0.1910 | 0.3665 | 0.1905 |
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+ | No log | 7.375 | 118 | 0.1866 | 0.3736 | 0.1861 |
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+ | No log | 7.5 | 120 | 0.1896 | 0.3689 | 0.1891 |
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+ | No log | 7.625 | 122 | 0.2002 | 0.3543 | 0.1997 |
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+ | No log | 7.75 | 124 | 0.2193 | 0.3459 | 0.2188 |
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+ | No log | 7.875 | 126 | 0.2204 | 0.3441 | 0.2200 |
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+ | No log | 8.0 | 128 | 0.2176 | 0.3432 | 0.2171 |
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+ | No log | 8.125 | 130 | 0.2102 | 0.3423 | 0.2097 |
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+ | No log | 8.25 | 132 | 0.2052 | 0.3459 | 0.2046 |
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+ | No log | 8.375 | 134 | 0.1977 | 0.3634 | 0.1972 |
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+ | No log | 8.5 | 136 | 0.1998 | 0.3555 | 0.1993 |
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+ | No log | 8.625 | 138 | 0.2030 | 0.3505 | 0.2024 |
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+ | No log | 8.75 | 140 | 0.2003 | 0.3581 | 0.1998 |
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+ | No log | 8.875 | 142 | 0.2002 | 0.3589 | 0.1996 |
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+ | No log | 9.0 | 144 | 0.2005 | 0.3559 | 0.2000 |
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+ | No log | 9.125 | 146 | 0.2054 | 0.3522 | 0.2048 |
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+ | No log | 9.25 | 148 | 0.2092 | 0.3477 | 0.2086 |
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+ | No log | 9.375 | 150 | 0.2149 | 0.3495 | 0.2144 |
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+ | No log | 9.5 | 152 | 0.2218 | 0.3503 | 0.2213 |
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+ | No log | 9.625 | 154 | 0.2252 | 0.3503 | 0.2246 |
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+ | No log | 9.75 | 156 | 0.2286 | 0.3459 | 0.2280 |
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+ | No log | 9.875 | 158 | 0.2281 | 0.3459 | 0.2276 |
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+ | No log | 10.0 | 160 | 0.2278 | 0.3503 | 0.2272 |
130
 
131
 
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  ### Framework versions
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