Hugging Face's logo

salbatarni
/
arabert_cross_organization_task3_fold3

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
a7574b0
·
verified ·
1 Parent(s): 00e83a1

End of training

Browse files
Files changed (1) hide show
  1. README.md +87 -97
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_fold2
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_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:
17
- - Loss: 1.6024
18
- - Qwk: 0.0538
19
- - Mse: 1.6024
20
 
21
  ## Model description
22
 
@@ -45,98 +45,88 @@ 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 | 0.1111 | 2 | 4.4408 | 0.0040 | 4.4408 |
51
- | No log | 0.2222 | 4 | 2.1445 | -0.0019 | 2.1445 |
52
- | No log | 0.3333 | 6 | 1.2335 | -0.0070 | 1.2335 |
53
- | No log | 0.4444 | 8 | 1.2037 | -0.0160 | 1.2037 |
54
- | No log | 0.5556 | 10 | 1.2041 | -0.0073 | 1.2041 |
55
- | No log | 0.6667 | 12 | 1.1517 | 0.0051 | 1.1517 |
56
- | No log | 0.7778 | 14 | 1.2374 | 0.0328 | 1.2374 |
57
- | No log | 0.8889 | 16 | 1.1607 | -0.0476 | 1.1607 |
58
- | No log | 1.0 | 18 | 1.1734 | -0.0518 | 1.1734 |
59
- | No log | 1.1111 | 20 | 1.2625 | -0.0809 | 1.2625 |
60
- | No log | 1.2222 | 22 | 1.3757 | 0.0003 | 1.3757 |
61
- | No log | 1.3333 | 24 | 1.1818 | -0.1060 | 1.1818 |
62
- | No log | 1.4444 | 26 | 1.2926 | 0.0 | 1.2926 |
63
- | No log | 1.5556 | 28 | 1.6227 | -0.0906 | 1.6227 |
64
- | No log | 1.6667 | 30 | 1.8505 | 0.0618 | 1.8505 |
65
- | No log | 1.7778 | 32 | 1.4810 | 0.0402 | 1.4810 |
66
- | No log | 1.8889 | 34 | 1.6514 | 0.0454 | 1.6514 |
67
- | No log | 2.0 | 36 | 1.9399 | 0.0198 | 1.9399 |
68
- | No log | 2.1111 | 38 | 1.6927 | 0.0351 | 1.6927 |
69
- | No log | 2.2222 | 40 | 1.5365 | 0.0112 | 1.5365 |
70
- | No log | 2.3333 | 42 | 1.7530 | 0.0199 | 1.7530 |
71
- | No log | 2.4444 | 44 | 1.5376 | 0.0302 | 1.5376 |
72
- | No log | 2.5556 | 46 | 1.4487 | -0.0223 | 1.4487 |
73
- | No log | 2.6667 | 48 | 1.7456 | 0.0144 | 1.7456 |
74
- | No log | 2.7778 | 50 | 1.9590 | 0.0498 | 1.9590 |
75
- | No log | 2.8889 | 52 | 1.6503 | 0.0145 | 1.6503 |
76
- | No log | 3.0 | 54 | 1.4764 | -0.0314 | 1.4764 |
77
- | No log | 3.1111 | 56 | 1.6835 | 0.0294 | 1.6835 |
78
- | No log | 3.2222 | 58 | 1.7955 | 0.0312 | 1.7955 |
79
- | No log | 3.3333 | 60 | 1.7538 | 0.0635 | 1.7538 |
80
- | No log | 3.4444 | 62 | 1.4927 | 0.0176 | 1.4927 |
81
- | No log | 3.5556 | 64 | 1.6904 | 0.0720 | 1.6904 |
82
- | No log | 3.6667 | 66 | 1.8393 | 0.0312 | 1.8393 |
83
- | No log | 3.7778 | 68 | 1.8313 | 0.0254 | 1.8313 |
84
- | No log | 3.8889 | 70 | 1.6934 | 0.0842 | 1.6934 |
85
- | No log | 4.0 | 72 | 1.5049 | 0.0730 | 1.5049 |
86
- | No log | 4.1111 | 74 | 1.6026 | 0.0175 | 1.6026 |
87
- | No log | 4.2222 | 76 | 1.5882 | 0.0325 | 1.5882 |
88
- | No log | 4.3333 | 78 | 1.6196 | 0.0264 | 1.6196 |
89
- | No log | 4.4444 | 80 | 1.5514 | 0.0974 | 1.5514 |
90
- | No log | 4.5556 | 82 | 1.4767 | 0.0909 | 1.4767 |
91
- | No log | 4.6667 | 84 | 1.2836 | 0.1034 | 1.2836 |
92
- | No log | 4.7778 | 86 | 1.3626 | 0.0270 | 1.3626 |
93
- | No log | 4.8889 | 88 | 1.6465 | 0.0229 | 1.6465 |
94
- | No log | 5.0 | 90 | 1.8343 | -0.0220 | 1.8343 |
95
- | No log | 5.1111 | 92 | 1.6557 | 0.0083 | 1.6557 |
96
- | No log | 5.2222 | 94 | 1.3225 | -0.0058 | 1.3225 |
97
- | No log | 5.3333 | 96 | 1.2482 | 0.0470 | 1.2482 |
98
- | No log | 5.4444 | 98 | 1.3076 | 0.0607 | 1.3076 |
99
- | No log | 5.5556 | 100 | 1.6016 | 0.0775 | 1.6016 |
100
- | No log | 5.6667 | 102 | 1.8225 | 0.0197 | 1.8225 |
101
- | No log | 5.7778 | 104 | 1.7541 | -0.0002 | 1.7541 |
102
- | No log | 5.8889 | 106 | 1.5325 | 0.0489 | 1.5325 |
103
- | No log | 6.0 | 108 | 1.4866 | 0.1203 | 1.4866 |
104
- | No log | 6.1111 | 110 | 1.5168 | 0.0747 | 1.5168 |
105
- | No log | 6.2222 | 112 | 1.5806 | 0.0628 | 1.5806 |
106
- | No log | 6.3333 | 114 | 1.5301 | 0.0840 | 1.5301 |
107
- | No log | 6.4444 | 116 | 1.5252 | 0.1176 | 1.5252 |
108
- | No log | 6.5556 | 118 | 1.6195 | 0.0414 | 1.6195 |
109
- | No log | 6.6667 | 120 | 1.7519 | -0.0347 | 1.7519 |
110
- | No log | 6.7778 | 122 | 1.7121 | 0.0055 | 1.7121 |
111
- | No log | 6.8889 | 124 | 1.5662 | 0.0951 | 1.5662 |
112
- | No log | 7.0 | 126 | 1.5098 | 0.1301 | 1.5098 |
113
- | No log | 7.1111 | 128 | 1.5746 | 0.12 | 1.5746 |
114
- | No log | 7.2222 | 130 | 1.7267 | -0.0092 | 1.7267 |
115
- | No log | 7.3333 | 132 | 1.7245 | -0.0092 | 1.7245 |
116
- | No log | 7.4444 | 134 | 1.5965 | 0.0502 | 1.5965 |
117
- | No log | 7.5556 | 136 | 1.5245 | 0.0966 | 1.5245 |
118
- | No log | 7.6667 | 138 | 1.4468 | 0.0095 | 1.4468 |
119
- | No log | 7.7778 | 140 | 1.4564 | 0.0425 | 1.4564 |
120
- | No log | 7.8889 | 142 | 1.5131 | 0.0840 | 1.5131 |
121
- | No log | 8.0 | 144 | 1.6343 | 0.0606 | 1.6343 |
122
- | No log | 8.1111 | 146 | 1.6708 | 0.0339 | 1.6708 |
123
- | No log | 8.2222 | 148 | 1.7099 | 0.0339 | 1.7099 |
124
- | No log | 8.3333 | 150 | 1.7246 | 0.0339 | 1.7246 |
125
- | No log | 8.4444 | 152 | 1.7128 | 0.0339 | 1.7128 |
126
- | No log | 8.5556 | 154 | 1.6734 | 0.0657 | 1.6734 |
127
- | No log | 8.6667 | 156 | 1.6578 | 0.0520 | 1.6578 |
128
- | No log | 8.7778 | 158 | 1.7162 | 0.0533 | 1.7162 |
129
- | No log | 8.8889 | 160 | 1.7512 | -0.0403 | 1.7512 |
130
- | No log | 9.0 | 162 | 1.7393 | -0.0034 | 1.7393 |
131
- | No log | 9.1111 | 164 | 1.6847 | 0.0542 | 1.6847 |
132
- | No log | 9.2222 | 166 | 1.6059 | 0.0442 | 1.6059 |
133
- | No log | 9.3333 | 168 | 1.5649 | 0.0881 | 1.5649 |
134
- | No log | 9.4444 | 170 | 1.5449 | 0.1090 | 1.5449 |
135
- | No log | 9.5556 | 172 | 1.5536 | 0.1090 | 1.5536 |
136
- | No log | 9.6667 | 174 | 1.5814 | 0.0419 | 1.5814 |
137
- | No log | 9.7778 | 176 | 1.5969 | 0.0560 | 1.5969 |
138
- | No log | 9.8889 | 178 | 1.6011 | 0.0560 | 1.6011 |
139
- | No log | 10.0 | 180 | 1.6024 | 0.0538 | 1.6024 |
140
 
141
 
142
  ### Framework versions
 
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
 
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