asun17904 commited on
Commit
2a1b41e
1 Parent(s): 524fac7

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +79 -2
README.md CHANGED
@@ -2,9 +2,26 @@
2
  license: apache-2.0
3
  tags:
4
  - generated_from_trainer
 
 
 
 
5
  model-index:
6
  - name: multiberts-seed_1_crows_pairs_classifieronly
7
- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
8
  ---
9
 
10
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -12,7 +29,14 @@ should probably proofread and complete it, then remove this comment. -->
12
 
13
  # multiberts-seed_1_crows_pairs_classifieronly
14
 
15
- This model is a fine-tuned version of [google/multiberts-seed_1](https://huggingface.co/google/multiberts-seed_1) on an unknown dataset.
 
 
 
 
 
 
 
16
 
17
  ## Model description
18
 
@@ -39,6 +63,59 @@ The following hyperparameters were used during training:
39
  - lr_scheduler_type: linear
40
  - num_epochs: 50
41
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
42
  ### Framework versions
43
 
44
  - Transformers 4.26.1
 
2
  license: apache-2.0
3
  tags:
4
  - generated_from_trainer
5
+ datasets:
6
+ - crows_pairs
7
+ metrics:
8
+ - accuracy
9
  model-index:
10
  - name: multiberts-seed_1_crows_pairs_classifieronly
11
+ results:
12
+ - task:
13
+ name: Text Classification
14
+ type: text-classification
15
+ dataset:
16
+ name: crows_pairs
17
+ type: crows_pairs
18
+ config: crows_pairs
19
+ split: test
20
+ args: crows_pairs
21
+ metrics:
22
+ - name: Accuracy
23
+ type: accuracy
24
+ value: 0.5331125827814569
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
29
 
30
  # multiberts-seed_1_crows_pairs_classifieronly
31
 
32
+ This model is a fine-tuned version of [google/multiberts-seed_1](https://huggingface.co/google/multiberts-seed_1) on the crows_pairs dataset.
33
+ It achieves the following results on the evaluation set:
34
+ - Loss: 0.6903
35
+ - Accuracy: 0.5331
36
+ - Tp: 0.3477
37
+ - Tn: 0.1854
38
+ - Fp: 0.3146
39
+ - Fn: 0.1523
40
 
41
  ## Model description
42
 
 
63
  - lr_scheduler_type: linear
64
  - num_epochs: 50
65
 
66
+ ### Training results
67
+
68
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Tp | Tn | Fp | Fn |
69
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|
70
+ | 0.7016 | 1.05 | 20 | 0.6910 | 0.5364 | 0.4437 | 0.0927 | 0.4073 | 0.0563 |
71
+ | 0.7072 | 2.11 | 40 | 0.6914 | 0.5166 | 0.4834 | 0.0331 | 0.4669 | 0.0166 |
72
+ | 0.7003 | 3.16 | 60 | 0.6910 | 0.5497 | 0.0927 | 0.4570 | 0.0430 | 0.4073 |
73
+ | 0.7004 | 4.21 | 80 | 0.6908 | 0.5265 | 0.2583 | 0.2682 | 0.2318 | 0.2417 |
74
+ | 0.6985 | 5.26 | 100 | 0.6916 | 0.5033 | 0.0033 | 0.5 | 0.0 | 0.4967 |
75
+ | 0.7107 | 6.32 | 120 | 0.6909 | 0.5364 | 0.4603 | 0.0762 | 0.4238 | 0.0397 |
76
+ | 0.7135 | 7.37 | 140 | 0.6908 | 0.5364 | 0.4139 | 0.1225 | 0.3775 | 0.0861 |
77
+ | 0.7041 | 8.42 | 160 | 0.6908 | 0.5464 | 0.2848 | 0.2616 | 0.2384 | 0.2152 |
78
+ | 0.7022 | 9.47 | 180 | 0.6907 | 0.5298 | 0.2450 | 0.2848 | 0.2152 | 0.2550 |
79
+ | 0.6996 | 10.53 | 200 | 0.6908 | 0.5265 | 0.4371 | 0.0894 | 0.4106 | 0.0629 |
80
+ | 0.7049 | 11.58 | 220 | 0.6914 | 0.5066 | 0.0066 | 0.5 | 0.0 | 0.4934 |
81
+ | 0.6975 | 12.63 | 240 | 0.6912 | 0.5232 | 0.4834 | 0.0397 | 0.4603 | 0.0166 |
82
+ | 0.6967 | 13.68 | 260 | 0.6907 | 0.5497 | 0.2748 | 0.2748 | 0.2252 | 0.2252 |
83
+ | 0.705 | 14.74 | 280 | 0.6912 | 0.5132 | 0.0132 | 0.5 | 0.0 | 0.4868 |
84
+ | 0.6943 | 15.79 | 300 | 0.6909 | 0.5298 | 0.4768 | 0.0530 | 0.4470 | 0.0232 |
85
+ | 0.7057 | 16.84 | 320 | 0.6906 | 0.5364 | 0.4272 | 0.1093 | 0.3907 | 0.0728 |
86
+ | 0.6995 | 17.89 | 340 | 0.6905 | 0.5530 | 0.2252 | 0.3278 | 0.1722 | 0.2748 |
87
+ | 0.6989 | 18.95 | 360 | 0.6905 | 0.5464 | 0.1854 | 0.3609 | 0.1391 | 0.3146 |
88
+ | 0.7156 | 20.0 | 380 | 0.6912 | 0.5199 | 0.4834 | 0.0364 | 0.4636 | 0.0166 |
89
+ | 0.6957 | 21.05 | 400 | 0.6905 | 0.5497 | 0.2285 | 0.3212 | 0.1788 | 0.2715 |
90
+ | 0.6978 | 22.11 | 420 | 0.6906 | 0.5331 | 0.4371 | 0.0960 | 0.4040 | 0.0629 |
91
+ | 0.6988 | 23.16 | 440 | 0.6905 | 0.5331 | 0.3179 | 0.2152 | 0.2848 | 0.1821 |
92
+ | 0.7054 | 24.21 | 460 | 0.6905 | 0.5497 | 0.1623 | 0.3874 | 0.1126 | 0.3377 |
93
+ | 0.6997 | 25.26 | 480 | 0.6907 | 0.5166 | 0.4636 | 0.0530 | 0.4470 | 0.0364 |
94
+ | 0.7007 | 26.32 | 500 | 0.6904 | 0.5364 | 0.3940 | 0.1424 | 0.3576 | 0.1060 |
95
+ | 0.6973 | 27.37 | 520 | 0.6914 | 0.5 | 0.0 | 0.5 | 0.0 | 0.5 |
96
+ | 0.704 | 28.42 | 540 | 0.6905 | 0.5364 | 0.4338 | 0.1026 | 0.3974 | 0.0662 |
97
+ | 0.7028 | 29.47 | 560 | 0.6905 | 0.5530 | 0.1192 | 0.4338 | 0.0662 | 0.3808 |
98
+ | 0.6959 | 30.53 | 580 | 0.6905 | 0.5364 | 0.4404 | 0.0960 | 0.4040 | 0.0596 |
99
+ | 0.704 | 31.58 | 600 | 0.6904 | 0.5464 | 0.2583 | 0.2881 | 0.2119 | 0.2417 |
100
+ | 0.704 | 32.63 | 620 | 0.6903 | 0.5397 | 0.3146 | 0.2252 | 0.2748 | 0.1854 |
101
+ | 0.7003 | 33.68 | 640 | 0.6903 | 0.5430 | 0.3079 | 0.2351 | 0.2649 | 0.1921 |
102
+ | 0.7058 | 34.74 | 660 | 0.6903 | 0.5464 | 0.3079 | 0.2384 | 0.2616 | 0.1921 |
103
+ | 0.7095 | 35.79 | 680 | 0.6903 | 0.5430 | 0.2649 | 0.2781 | 0.2219 | 0.2351 |
104
+ | 0.7019 | 36.84 | 700 | 0.6905 | 0.5397 | 0.0695 | 0.4702 | 0.0298 | 0.4305 |
105
+ | 0.7167 | 37.89 | 720 | 0.6907 | 0.5099 | 0.0166 | 0.4934 | 0.0066 | 0.4834 |
106
+ | 0.6975 | 38.95 | 740 | 0.6903 | 0.5497 | 0.3113 | 0.2384 | 0.2616 | 0.1887 |
107
+ | 0.7036 | 40.0 | 760 | 0.6903 | 0.5397 | 0.3311 | 0.2086 | 0.2914 | 0.1689 |
108
+ | 0.7009 | 41.05 | 780 | 0.6903 | 0.5331 | 0.3940 | 0.1391 | 0.3609 | 0.1060 |
109
+ | 0.7004 | 42.11 | 800 | 0.6903 | 0.5430 | 0.2980 | 0.2450 | 0.2550 | 0.2020 |
110
+ | 0.699 | 43.16 | 820 | 0.6903 | 0.5430 | 0.2152 | 0.3278 | 0.1722 | 0.2848 |
111
+ | 0.6962 | 44.21 | 840 | 0.6903 | 0.5430 | 0.2980 | 0.2450 | 0.2550 | 0.2020 |
112
+ | 0.6981 | 45.26 | 860 | 0.6903 | 0.5397 | 0.3543 | 0.1854 | 0.3146 | 0.1457 |
113
+ | 0.7008 | 46.32 | 880 | 0.6903 | 0.5430 | 0.3808 | 0.1623 | 0.3377 | 0.1192 |
114
+ | 0.7048 | 47.37 | 900 | 0.6903 | 0.5530 | 0.3742 | 0.1788 | 0.3212 | 0.1258 |
115
+ | 0.707 | 48.42 | 920 | 0.6903 | 0.5497 | 0.3709 | 0.1788 | 0.3212 | 0.1291 |
116
+ | 0.7014 | 49.47 | 940 | 0.6903 | 0.5331 | 0.3477 | 0.1854 | 0.3146 | 0.1523 |
117
+
118
+
119
  ### Framework versions
120
 
121
  - Transformers 4.26.1