Hugging Face's logo

salbatarni
/
arabert_cross_organization_task3_fold4

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
6539f18
·
verified ·
1 Parent(s): 09e8f7e

End of training

Browse files
Files changed (1) hide show
  1. README.md +92 -87
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_organization_task3_fold3
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_organization_task3_fold3
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: 0.5370
18
- - Qwk: 0.7944
19
- - Mse: 0.5370
20
 
21
  ## Model description
22
 
@@ -45,88 +45,93 @@ 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 | 0.125 | 2 | 1.7580 | 0.0890 | 1.7580 |
51
- | No log | 0.25 | 4 | 1.2272 | 0.4035 | 1.2272 |
52
- | No log | 0.375 | 6 | 0.9464 | 0.5403 | 0.9464 |
53
- | No log | 0.5 | 8 | 0.7613 | 0.6565 | 0.7613 |
54
- | No log | 0.625 | 10 | 0.6541 | 0.7029 | 0.6541 |
55
- | No log | 0.75 | 12 | 0.6490 | 0.7391 | 0.6490 |
56
- | No log | 0.875 | 14 | 0.7327 | 0.7661 | 0.7327 |
57
- | No log | 1.0 | 16 | 0.5927 | 0.6919 | 0.5927 |
58
- | No log | 1.125 | 18 | 0.5964 | 0.6599 | 0.5964 |
59
- | No log | 1.25 | 20 | 0.6354 | 0.7806 | 0.6354 |
60
- | No log | 1.375 | 22 | 0.8402 | 0.7721 | 0.8402 |
61
- | No log | 1.5 | 24 | 0.6567 | 0.7904 | 0.6567 |
62
- | No log | 1.625 | 26 | 0.5279 | 0.7541 | 0.5279 |
63
- | No log | 1.75 | 28 | 0.5231 | 0.7390 | 0.5231 |
64
- | No log | 1.875 | 30 | 0.5289 | 0.7813 | 0.5289 |
65
- | No log | 2.0 | 32 | 0.5925 | 0.7797 | 0.5925 |
66
- | No log | 2.125 | 34 | 0.5332 | 0.7806 | 0.5332 |
67
- | No log | 2.25 | 36 | 0.5328 | 0.7818 | 0.5328 |
68
- | No log | 2.375 | 38 | 0.5917 | 0.7871 | 0.5917 |
69
- | No log | 2.5 | 40 | 0.5461 | 0.7940 | 0.5461 |
70
- | No log | 2.625 | 42 | 0.5813 | 0.7869 | 0.5813 |
71
- | No log | 2.75 | 44 | 0.5361 | 0.7835 | 0.5361 |
72
- | No log | 2.875 | 46 | 0.4895 | 0.7367 | 0.4895 |
73
- | No log | 3.0 | 48 | 0.4986 | 0.7699 | 0.4986 |
74
- | No log | 3.125 | 50 | 0.5492 | 0.7845 | 0.5492 |
75
- | No log | 3.25 | 52 | 0.6585 | 0.7981 | 0.6585 |
76
- | No log | 3.375 | 54 | 0.5821 | 0.7973 | 0.5821 |
77
- | No log | 3.5 | 56 | 0.4999 | 0.7692 | 0.4999 |
78
- | No log | 3.625 | 58 | 0.5101 | 0.7700 | 0.5101 |
79
- | No log | 3.75 | 60 | 0.5803 | 0.7877 | 0.5803 |
80
- | No log | 3.875 | 62 | 0.5825 | 0.78 | 0.5825 |
81
- | No log | 4.0 | 64 | 0.5152 | 0.7826 | 0.5152 |
82
- | No log | 4.125 | 66 | 0.5153 | 0.7737 | 0.5153 |
83
- | No log | 4.25 | 68 | 0.5298 | 0.7824 | 0.5298 |
84
- | No log | 4.375 | 70 | 0.4955 | 0.7601 | 0.4955 |
85
- | No log | 4.5 | 72 | 0.5345 | 0.7834 | 0.5345 |
86
- | No log | 4.625 | 74 | 0.5955 | 0.7877 | 0.5955 |
87
- | No log | 4.75 | 76 | 0.5233 | 0.7839 | 0.5233 |
88
- | No log | 4.875 | 78 | 0.4939 | 0.7760 | 0.4939 |
89
- | No log | 5.0 | 80 | 0.4893 | 0.7615 | 0.4893 |
90
- | No log | 5.125 | 82 | 0.5115 | 0.7835 | 0.5115 |
91
- | No log | 5.25 | 84 | 0.5169 | 0.7812 | 0.5169 |
92
- | No log | 5.375 | 86 | 0.5423 | 0.7856 | 0.5423 |
93
- | No log | 5.5 | 88 | 0.5269 | 0.7741 | 0.5269 |
94
- | No log | 5.625 | 90 | 0.5073 | 0.7634 | 0.5073 |
95
- | No log | 5.75 | 92 | 0.5209 | 0.7721 | 0.5209 |
96
- | No log | 5.875 | 94 | 0.6436 | 0.8138 | 0.6436 |
97
- | No log | 6.0 | 96 | 0.7068 | 0.8088 | 0.7068 |
98
- | No log | 6.125 | 98 | 0.6021 | 0.7992 | 0.6021 |
99
- | No log | 6.25 | 100 | 0.5022 | 0.7464 | 0.5022 |
100
- | No log | 6.375 | 102 | 0.4976 | 0.7471 | 0.4976 |
101
- | No log | 6.5 | 104 | 0.5144 | 0.7552 | 0.5144 |
102
- | No log | 6.625 | 106 | 0.5770 | 0.7931 | 0.5770 |
103
- | No log | 6.75 | 108 | 0.5866 | 0.7931 | 0.5866 |
104
- | No log | 6.875 | 110 | 0.5239 | 0.7649 | 0.5239 |
105
- | No log | 7.0 | 112 | 0.4930 | 0.7531 | 0.4930 |
106
- | No log | 7.125 | 114 | 0.4884 | 0.7636 | 0.4884 |
107
- | No log | 7.25 | 116 | 0.5129 | 0.7744 | 0.5129 |
108
- | No log | 7.375 | 118 | 0.5771 | 0.7982 | 0.5771 |
109
- | No log | 7.5 | 120 | 0.5703 | 0.7982 | 0.5703 |
110
- | No log | 7.625 | 122 | 0.5147 | 0.7681 | 0.5147 |
111
- | No log | 7.75 | 124 | 0.4973 | 0.7739 | 0.4973 |
112
- | No log | 7.875 | 126 | 0.4888 | 0.7760 | 0.4888 |
113
- | No log | 8.0 | 128 | 0.5035 | 0.7817 | 0.5035 |
114
- | No log | 8.125 | 130 | 0.5124 | 0.7723 | 0.5124 |
115
- | No log | 8.25 | 132 | 0.5107 | 0.7782 | 0.5107 |
116
- | No log | 8.375 | 134 | 0.5195 | 0.7768 | 0.5195 |
117
- | No log | 8.5 | 136 | 0.5271 | 0.7724 | 0.5271 |
118
- | No log | 8.625 | 138 | 0.5365 | 0.7820 | 0.5365 |
119
- | No log | 8.75 | 140 | 0.5329 | 0.7862 | 0.5329 |
120
- | No log | 8.875 | 142 | 0.5215 | 0.7883 | 0.5215 |
121
- | No log | 9.0 | 144 | 0.5191 | 0.7827 | 0.5191 |
122
- | No log | 9.125 | 146 | 0.5120 | 0.7830 | 0.5120 |
123
- | No log | 9.25 | 148 | 0.5044 | 0.7814 | 0.5044 |
124
- | No log | 9.375 | 150 | 0.5086 | 0.7870 | 0.5086 |
125
- | No log | 9.5 | 152 | 0.5195 | 0.7956 | 0.5195 |
126
- | No log | 9.625 | 154 | 0.5294 | 0.7955 | 0.5294 |
127
- | No log | 9.75 | 156 | 0.5377 | 0.7944 | 0.5377 |
128
- | No log | 9.875 | 158 | 0.5380 | 0.7958 | 0.5380 |
129
- | No log | 10.0 | 160 | 0.5370 | 0.7944 | 0.5370 |
 
 
 
 
 
130
 
131
 
132
  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_organization_task3_fold4
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_organization_task3_fold4
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: 0.4384
18
+ - Qwk: 0.7923
19
+ - Mse: 0.4384
20
 
21
  ## Model description
22
 
 
45
 
46
  ### Training results
47
 
48
+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
49
+ |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
50
+ | No log | 0.1176 | 2 | 2.0659 | 0.1309 | 2.0659 |
51
+ | No log | 0.2353 | 4 | 1.1312 | 0.2513 | 1.1312 |
52
+ | No log | 0.3529 | 6 | 1.2762 | 0.3076 | 1.2762 |
53
+ | No log | 0.4706 | 8 | 0.9742 | 0.3913 | 0.9742 |
54
+ | No log | 0.5882 | 10 | 0.8094 | 0.3950 | 0.8094 |
55
+ | No log | 0.7059 | 12 | 0.6869 | 0.4798 | 0.6869 |
56
+ | No log | 0.8235 | 14 | 0.5774 | 0.5954 | 0.5774 |
57
+ | No log | 0.9412 | 16 | 0.6003 | 0.7210 | 0.6003 |
58
+ | No log | 1.0588 | 18 | 0.5323 | 0.7387 | 0.5323 |
59
+ | No log | 1.1765 | 20 | 0.4319 | 0.7027 | 0.4319 |
60
+ | No log | 1.2941 | 22 | 0.4200 | 0.7041 | 0.4200 |
61
+ | No log | 1.4118 | 24 | 0.4896 | 0.7702 | 0.4896 |
62
+ | No log | 1.5294 | 26 | 0.4854 | 0.7637 | 0.4854 |
63
+ | No log | 1.6471 | 28 | 0.4346 | 0.7311 | 0.4346 |
64
+ | No log | 1.7647 | 30 | 0.4283 | 0.7225 | 0.4283 |
65
+ | No log | 1.8824 | 32 | 0.4469 | 0.6962 | 0.4469 |
66
+ | No log | 2.0 | 34 | 0.4554 | 0.7521 | 0.4554 |
67
+ | No log | 2.1176 | 36 | 0.6141 | 0.7808 | 0.6141 |
68
+ | No log | 2.2353 | 38 | 0.5954 | 0.7714 | 0.5954 |
69
+ | No log | 2.3529 | 40 | 0.4972 | 0.7836 | 0.4972 |
70
+ | No log | 2.4706 | 42 | 0.3941 | 0.7529 | 0.3941 |
71
+ | No log | 2.5882 | 44 | 0.3651 | 0.7446 | 0.3651 |
72
+ | No log | 2.7059 | 46 | 0.3529 | 0.7605 | 0.3529 |
73
+ | No log | 2.8235 | 48 | 0.3699 | 0.7870 | 0.3699 |
74
+ | No log | 2.9412 | 50 | 0.4844 | 0.8194 | 0.4844 |
75
+ | No log | 3.0588 | 52 | 0.5294 | 0.8187 | 0.5294 |
76
+ | No log | 3.1765 | 54 | 0.4291 | 0.8009 | 0.4291 |
77
+ | No log | 3.2941 | 56 | 0.3600 | 0.7917 | 0.3600 |
78
+ | No log | 3.4118 | 58 | 0.3588 | 0.7841 | 0.3588 |
79
+ | No log | 3.5294 | 60 | 0.4067 | 0.7876 | 0.4067 |
80
+ | No log | 3.6471 | 62 | 0.5014 | 0.8211 | 0.5014 |
81
+ | No log | 3.7647 | 64 | 0.4957 | 0.8087 | 0.4957 |
82
+ | No log | 3.8824 | 66 | 0.3997 | 0.7705 | 0.3997 |
83
+ | No log | 4.0 | 68 | 0.3670 | 0.7411 | 0.3670 |
84
+ | No log | 4.1176 | 70 | 0.3666 | 0.7485 | 0.3666 |
85
+ | No log | 4.2353 | 72 | 0.4185 | 0.7811 | 0.4185 |
86
+ | No log | 4.3529 | 74 | 0.5672 | 0.8114 | 0.5672 |
87
+ | No log | 4.4706 | 76 | 0.6146 | 0.7985 | 0.6146 |
88
+ | No log | 4.5882 | 78 | 0.5087 | 0.7803 | 0.5087 |
89
+ | No log | 4.7059 | 80 | 0.4307 | 0.7841 | 0.4307 |
90
+ | No log | 4.8235 | 82 | 0.4210 | 0.7338 | 0.4210 |
91
+ | No log | 4.9412 | 84 | 0.4161 | 0.7329 | 0.4161 |
92
+ | No log | 5.0588 | 86 | 0.4113 | 0.7754 | 0.4113 |
93
+ | No log | 5.1765 | 88 | 0.4423 | 0.8003 | 0.4423 |
94
+ | No log | 5.2941 | 90 | 0.4908 | 0.8117 | 0.4908 |
95
+ | No log | 5.4118 | 92 | 0.4559 | 0.8009 | 0.4559 |
96
+ | No log | 5.5294 | 94 | 0.4337 | 0.7982 | 0.4337 |
97
+ | No log | 5.6471 | 96 | 0.4283 | 0.8001 | 0.4283 |
98
+ | No log | 5.7647 | 98 | 0.4085 | 0.7829 | 0.4085 |
99
+ | No log | 5.8824 | 100 | 0.4060 | 0.7781 | 0.4060 |
100
+ | No log | 6.0 | 102 | 0.4389 | 0.7865 | 0.4389 |
101
+ | No log | 6.1176 | 104 | 0.4913 | 0.7924 | 0.4913 |
102
+ | No log | 6.2353 | 106 | 0.4747 | 0.7811 | 0.4747 |
103
+ | No log | 6.3529 | 108 | 0.4248 | 0.7908 | 0.4248 |
104
+ | No log | 6.4706 | 110 | 0.3799 | 0.7679 | 0.3799 |
105
+ | No log | 6.5882 | 112 | 0.3690 | 0.7547 | 0.3690 |
106
+ | No log | 6.7059 | 114 | 0.3767 | 0.7741 | 0.3767 |
107
+ | No log | 6.8235 | 116 | 0.4030 | 0.7842 | 0.4030 |
108
+ | No log | 6.9412 | 118 | 0.4559 | 0.8101 | 0.4559 |
109
+ | No log | 7.0588 | 120 | 0.4943 | 0.8129 | 0.4943 |
110
+ | No log | 7.1765 | 122 | 0.4753 | 0.8154 | 0.4753 |
111
+ | No log | 7.2941 | 124 | 0.4148 | 0.8032 | 0.4148 |
112
+ | No log | 7.4118 | 126 | 0.3867 | 0.7623 | 0.3867 |
113
+ | No log | 7.5294 | 128 | 0.3894 | 0.7606 | 0.3894 |
114
+ | No log | 7.6471 | 130 | 0.4128 | 0.7745 | 0.4128 |
115
+ | No log | 7.7647 | 132 | 0.4714 | 0.7941 | 0.4714 |
116
+ | No log | 7.8824 | 134 | 0.5145 | 0.8135 | 0.5145 |
117
+ | No log | 8.0 | 136 | 0.5184 | 0.8135 | 0.5184 |
118
+ | No log | 8.1176 | 138 | 0.4920 | 0.8112 | 0.4920 |
119
+ | No log | 8.2353 | 140 | 0.4462 | 0.8017 | 0.4462 |
120
+ | No log | 8.3529 | 142 | 0.4059 | 0.7727 | 0.4059 |
121
+ | No log | 8.4706 | 144 | 0.3943 | 0.7707 | 0.3943 |
122
+ | No log | 8.5882 | 146 | 0.3955 | 0.7715 | 0.3955 |
123
+ | No log | 8.7059 | 148 | 0.4024 | 0.7702 | 0.4024 |
124
+ | No log | 8.8235 | 150 | 0.4170 | 0.7875 | 0.4170 |
125
+ | No log | 8.9412 | 152 | 0.4406 | 0.7995 | 0.4406 |
126
+ | No log | 9.0588 | 154 | 0.4635 | 0.7980 | 0.4635 |
127
+ | No log | 9.1765 | 156 | 0.4777 | 0.8082 | 0.4777 |
128
+ | No log | 9.2941 | 158 | 0.4780 | 0.8082 | 0.4780 |
129
+ | No log | 9.4118 | 160 | 0.4663 | 0.7989 | 0.4663 |
130
+ | No log | 9.5294 | 162 | 0.4565 | 0.7957 | 0.4565 |
131
+ | No log | 9.6471 | 164 | 0.4496 | 0.7945 | 0.4496 |
132
+ | No log | 9.7647 | 166 | 0.4453 | 0.7965 | 0.4453 |
133
+ | No log | 9.8824 | 168 | 0.4404 | 0.7994 | 0.4404 |
134
+ | No log | 10.0 | 170 | 0.4384 | 0.7923 | 0.4384 |
135
 
136
 
137
  ### Framework versions