Hugging Face's logo

salbatarni
/
arabert_cross_relevance_task5_fold1

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
a09db4e
·
verified ·
1 Parent(s): 6ed7a38

End of training

Browse files
Files changed (1) hide show
  1. README.md +82 -82
README.md CHANGED
@@ -3,20 +3,20 @@ base_model: aubmindlab/bert-base-arabertv02
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
- - name: arabert_cross_relevance_task5_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_task5_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.
16
  It achieves the following results on the evaluation set:
17
- - Loss: 0.2622
18
- - Qwk: 0.1283
19
- - Mse: 0.2622
20
 
21
  ## Model description
22
 
@@ -45,83 +45,83 @@ The following hyperparameters were used during training:
45
 
46
  ### Training results
47
 
48
- | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
49
- |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
50
- | No log | 0.1333 | 2 | 0.4161 | 0.0028 | 0.4160 |
51
- | No log | 0.2667 | 4 | 0.3774 | 0.0409 | 0.3772 |
52
- | No log | 0.4 | 6 | 0.3195 | 0.0376 | 0.3194 |
53
- | No log | 0.5333 | 8 | 0.3532 | 0.0623 | 0.3530 |
54
- | No log | 0.6667 | 10 | 0.3030 | 0.0611 | 0.3030 |
55
- | No log | 0.8 | 12 | 0.2649 | 0.0787 | 0.2649 |
56
- | No log | 0.9333 | 14 | 0.2826 | 0.0885 | 0.2828 |
57
- | No log | 1.0667 | 16 | 0.2985 | 0.0923 | 0.2988 |
58
- | No log | 1.2 | 18 | 0.2796 | 0.1040 | 0.2799 |
59
- | No log | 1.3333 | 20 | 0.2595 | 0.0929 | 0.2597 |
60
- | No log | 1.4667 | 22 | 0.2462 | 0.0852 | 0.2464 |
61
- | No log | 1.6 | 24 | 0.2480 | 0.0852 | 0.2481 |
62
- | No log | 1.7333 | 26 | 0.2542 | 0.0890 | 0.2544 |
63
- | No log | 1.8667 | 28 | 0.2586 | 0.0997 | 0.2588 |
64
- | No log | 2.0 | 30 | 0.2670 | 0.1014 | 0.2673 |
65
- | No log | 2.1333 | 32 | 0.2648 | 0.1105 | 0.2650 |
66
- | No log | 2.2667 | 34 | 0.2632 | 0.1459 | 0.2634 |
67
- | No log | 2.4 | 36 | 0.2674 | 0.1834 | 0.2676 |
68
- | No log | 2.5333 | 38 | 0.2628 | 0.1703 | 0.2629 |
69
- | No log | 2.6667 | 40 | 0.2527 | 0.1229 | 0.2528 |
70
- | No log | 2.8 | 42 | 0.2484 | 0.1022 | 0.2484 |
71
- | No log | 2.9333 | 44 | 0.2561 | 0.0997 | 0.2562 |
72
- | No log | 3.0667 | 46 | 0.2688 | 0.0846 | 0.2689 |
73
- | No log | 3.2 | 48 | 0.2566 | 0.1007 | 0.2567 |
74
- | No log | 3.3333 | 50 | 0.2524 | 0.0965 | 0.2525 |
75
- | No log | 3.4667 | 52 | 0.2583 | 0.0935 | 0.2584 |
76
- | No log | 3.6 | 54 | 0.2587 | 0.1253 | 0.2588 |
77
- | No log | 3.7333 | 56 | 0.2574 | 0.1401 | 0.2575 |
78
- | No log | 3.8667 | 58 | 0.2677 | 0.1075 | 0.2678 |
79
- | No log | 4.0 | 60 | 0.2736 | 0.0953 | 0.2736 |
80
- | No log | 4.1333 | 62 | 0.2558 | 0.1301 | 0.2559 |
81
- | No log | 4.2667 | 64 | 0.2518 | 0.1067 | 0.2519 |
82
- | No log | 4.4 | 66 | 0.2551 | 0.1166 | 0.2552 |
83
- | No log | 4.5333 | 68 | 0.2520 | 0.1067 | 0.2521 |
84
- | No log | 4.6667 | 70 | 0.2540 | 0.0866 | 0.2541 |
85
- | No log | 4.8 | 72 | 0.2633 | 0.1021 | 0.2635 |
86
- | No log | 4.9333 | 74 | 0.2704 | 0.0902 | 0.2705 |
87
- | No log | 5.0667 | 76 | 0.2725 | 0.0963 | 0.2727 |
88
- | No log | 5.2 | 78 | 0.2693 | 0.1081 | 0.2694 |
89
- | No log | 5.3333 | 80 | 0.2662 | 0.1004 | 0.2663 |
90
- | No log | 5.4667 | 82 | 0.2608 | 0.1055 | 0.2609 |
91
- | No log | 5.6 | 84 | 0.2559 | 0.1013 | 0.2560 |
92
- | No log | 5.7333 | 86 | 0.2577 | 0.1078 | 0.2578 |
93
- | No log | 5.8667 | 88 | 0.2608 | 0.1146 | 0.2608 |
94
- | No log | 6.0 | 90 | 0.2533 | 0.1144 | 0.2533 |
95
- | No log | 6.1333 | 92 | 0.2490 | 0.1142 | 0.2491 |
96
- | No log | 6.2667 | 94 | 0.2520 | 0.0942 | 0.2521 |
97
- | No log | 6.4 | 96 | 0.2592 | 0.1080 | 0.2593 |
98
- | No log | 6.5333 | 98 | 0.2666 | 0.1319 | 0.2667 |
99
- | No log | 6.6667 | 100 | 0.2668 | 0.1521 | 0.2668 |
100
- | No log | 6.8 | 102 | 0.2667 | 0.1560 | 0.2667 |
101
- | No log | 6.9333 | 104 | 0.2680 | 0.1450 | 0.2681 |
102
- | No log | 7.0667 | 106 | 0.2684 | 0.1482 | 0.2685 |
103
- | No log | 7.2 | 108 | 0.2672 | 0.1529 | 0.2672 |
104
- | No log | 7.3333 | 110 | 0.2659 | 0.1721 | 0.2660 |
105
- | No log | 7.4667 | 112 | 0.2665 | 0.1614 | 0.2665 |
106
- | No log | 7.6 | 114 | 0.2656 | 0.1651 | 0.2656 |
107
- | No log | 7.7333 | 116 | 0.2636 | 0.1577 | 0.2637 |
108
- | No log | 7.8667 | 118 | 0.2610 | 0.1613 | 0.2610 |
109
- | No log | 8.0 | 120 | 0.2581 | 0.1575 | 0.2581 |
110
- | No log | 8.1333 | 122 | 0.2559 | 0.1289 | 0.2559 |
111
- | No log | 8.2667 | 124 | 0.2559 | 0.1070 | 0.2559 |
112
- | No log | 8.4 | 126 | 0.2569 | 0.1026 | 0.2569 |
113
- | No log | 8.5333 | 128 | 0.2575 | 0.1056 | 0.2575 |
114
- | No log | 8.6667 | 130 | 0.2582 | 0.1274 | 0.2582 |
115
- | No log | 8.8 | 132 | 0.2585 | 0.1272 | 0.2585 |
116
- | No log | 8.9333 | 134 | 0.2596 | 0.1306 | 0.2595 |
117
- | No log | 9.0667 | 136 | 0.2600 | 0.1101 | 0.2600 |
118
- | No log | 9.2 | 138 | 0.2608 | 0.1101 | 0.2607 |
119
- | No log | 9.3333 | 140 | 0.2612 | 0.1342 | 0.2612 |
120
- | No log | 9.4667 | 142 | 0.2617 | 0.1137 | 0.2617 |
121
- | No log | 9.6 | 144 | 0.2619 | 0.1283 | 0.2619 |
122
- | No log | 9.7333 | 146 | 0.2620 | 0.1414 | 0.2620 |
123
- | No log | 9.8667 | 148 | 0.2621 | 0.1414 | 0.2621 |
124
- | No log | 10.0 | 150 | 0.2622 | 0.1283 | 0.2622 |
125
 
126
 
127
  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task5_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_task5_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: 0.1600
18
+ - Qwk: 0.0355
19
+ - Mse: 0.1600
20
 
21
  ## Model description
22
 
 
45
 
46
  ### Training results
47
 
48
+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
49
+ |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
50
+ | No log | 0.1333 | 2 | 1.3976 | -0.0095 | 1.3976 |
51
+ | No log | 0.2667 | 4 | 0.2802 | 0.0303 | 0.2802 |
52
+ | No log | 0.4 | 6 | 0.1716 | 0.0958 | 0.1716 |
53
+ | No log | 0.5333 | 8 | 0.1264 | 0.0844 | 0.1264 |
54
+ | No log | 0.6667 | 10 | 0.3227 | 0.0436 | 0.3227 |
55
+ | No log | 0.8 | 12 | 0.4525 | 0.0566 | 0.4525 |
56
+ | No log | 0.9333 | 14 | 0.2745 | 0.0361 | 0.2745 |
57
+ | No log | 1.0667 | 16 | 0.1334 | 0.0270 | 0.1334 |
58
+ | No log | 1.2 | 18 | 0.1243 | 0.0270 | 0.1243 |
59
+ | No log | 1.3333 | 20 | 0.1332 | 0.0338 | 0.1332 |
60
+ | No log | 1.4667 | 22 | 0.1989 | 0.0254 | 0.1989 |
61
+ | No log | 1.6 | 24 | 0.2524 | 0.0281 | 0.2524 |
62
+ | No log | 1.7333 | 26 | 0.2192 | 0.0339 | 0.2192 |
63
+ | No log | 1.8667 | 28 | 0.1883 | 0.0339 | 0.1883 |
64
+ | No log | 2.0 | 30 | 0.1407 | 0.0511 | 0.1407 |
65
+ | No log | 2.1333 | 32 | 0.1285 | 0.0493 | 0.1285 |
66
+ | No log | 2.2667 | 34 | 0.1272 | 0.0386 | 0.1272 |
67
+ | No log | 2.4 | 36 | 0.1551 | 0.0339 | 0.1551 |
68
+ | No log | 2.5333 | 38 | 0.1968 | 0.0339 | 0.1968 |
69
+ | No log | 2.6667 | 40 | 0.1958 | 0.0339 | 0.1958 |
70
+ | No log | 2.8 | 42 | 0.1776 | 0.0339 | 0.1776 |
71
+ | No log | 2.9333 | 44 | 0.1898 | 0.0339 | 0.1898 |
72
+ | No log | 3.0667 | 46 | 0.1824 | 0.0339 | 0.1824 |
73
+ | No log | 3.2 | 48 | 0.1597 | 0.0254 | 0.1597 |
74
+ | No log | 3.3333 | 50 | 0.1434 | 0.0254 | 0.1434 |
75
+ | No log | 3.4667 | 52 | 0.1327 | 0.0342 | 0.1327 |
76
+ | No log | 3.6 | 54 | 0.1413 | 0.0290 | 0.1413 |
77
+ | No log | 3.7333 | 56 | 0.1731 | 0.0339 | 0.1731 |
78
+ | No log | 3.8667 | 58 | 0.1817 | 0.0339 | 0.1817 |
79
+ | No log | 4.0 | 60 | 0.1522 | 0.0389 | 0.1522 |
80
+ | No log | 4.1333 | 62 | 0.1305 | 0.0661 | 0.1305 |
81
+ | No log | 4.2667 | 64 | 0.1284 | 0.0630 | 0.1284 |
82
+ | No log | 4.4 | 66 | 0.1355 | 0.0393 | 0.1355 |
83
+ | No log | 4.5333 | 68 | 0.1604 | 0.0339 | 0.1604 |
84
+ | No log | 4.6667 | 70 | 0.2002 | 0.0339 | 0.2002 |
85
+ | No log | 4.8 | 72 | 0.1955 | 0.0339 | 0.1955 |
86
+ | No log | 4.9333 | 74 | 0.1658 | 0.0339 | 0.1658 |
87
+ | No log | 5.0667 | 76 | 0.1489 | 0.0339 | 0.1489 |
88
+ | No log | 5.2 | 78 | 0.1364 | 0.0307 | 0.1364 |
89
+ | No log | 5.3333 | 80 | 0.1306 | 0.0359 | 0.1306 |
90
+ | No log | 5.4667 | 82 | 0.1357 | 0.0307 | 0.1357 |
91
+ | No log | 5.6 | 84 | 0.1533 | 0.0339 | 0.1533 |
92
+ | No log | 5.7333 | 86 | 0.1769 | 0.0339 | 0.1769 |
93
+ | No log | 5.8667 | 88 | 0.1814 | 0.0339 | 0.1814 |
94
+ | No log | 6.0 | 90 | 0.1634 | 0.0273 | 0.1634 |
95
+ | No log | 6.1333 | 92 | 0.1427 | 0.0273 | 0.1427 |
96
+ | No log | 6.2667 | 94 | 0.1345 | 0.0324 | 0.1345 |
97
+ | No log | 6.4 | 96 | 0.1360 | 0.0377 | 0.1360 |
98
+ | No log | 6.5333 | 98 | 0.1445 | 0.0307 | 0.1445 |
99
+ | No log | 6.6667 | 100 | 0.1592 | 0.0290 | 0.1592 |
100
+ | No log | 6.8 | 102 | 0.1809 | 0.0355 | 0.1809 |
101
+ | No log | 6.9333 | 104 | 0.1826 | 0.0254 | 0.1826 |
102
+ | No log | 7.0667 | 106 | 0.1828 | 0.0254 | 0.1828 |
103
+ | No log | 7.2 | 108 | 0.1811 | 0.0254 | 0.1811 |
104
+ | No log | 7.3333 | 110 | 0.1729 | 0.0270 | 0.1729 |
105
+ | No log | 7.4667 | 112 | 0.1676 | 0.0290 | 0.1676 |
106
+ | No log | 7.6 | 114 | 0.1697 | 0.0273 | 0.1697 |
107
+ | No log | 7.7333 | 116 | 0.1696 | 0.0254 | 0.1696 |
108
+ | No log | 7.8667 | 118 | 0.1615 | 0.0254 | 0.1615 |
109
+ | No log | 8.0 | 120 | 0.1570 | 0.0304 | 0.1570 |
110
+ | No log | 8.1333 | 122 | 0.1567 | 0.0304 | 0.1567 |
111
+ | No log | 8.2667 | 124 | 0.1631 | 0.0287 | 0.1631 |
112
+ | No log | 8.4 | 126 | 0.1702 | 0.0270 | 0.1702 |
113
+ | No log | 8.5333 | 128 | 0.1774 | 0.0355 | 0.1774 |
114
+ | No log | 8.6667 | 130 | 0.1807 | 0.0355 | 0.1807 |
115
+ | No log | 8.8 | 132 | 0.1787 | 0.0372 | 0.1787 |
116
+ | No log | 8.9333 | 134 | 0.1755 | 0.0389 | 0.1755 |
117
+ | No log | 9.0667 | 136 | 0.1743 | 0.0406 | 0.1743 |
118
+ | No log | 9.2 | 138 | 0.1698 | 0.0406 | 0.1698 |
119
+ | No log | 9.3333 | 140 | 0.1640 | 0.0423 | 0.1640 |
120
+ | No log | 9.4667 | 142 | 0.1601 | 0.0441 | 0.1601 |
121
+ | No log | 9.6 | 144 | 0.1589 | 0.0441 | 0.1589 |
122
+ | No log | 9.7333 | 146 | 0.1591 | 0.0355 | 0.1591 |
123
+ | No log | 9.8667 | 148 | 0.1596 | 0.0355 | 0.1596 |
124
+ | No log | 10.0 | 150 | 0.1600 | 0.0355 | 0.1600 |
125
 
126
 
127
  ### Framework versions