Hugging Face's logo

salbatarni
/
arabert_cross_organization_task6_fold4

Safetensors
bert
Generated from Trainer
Model card Files Community
salbatarni commited on
Commit
33123d1
•
1 Parent(s): 59fc90e

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_task6_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_task6_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: 1.3563
18
- - Qwk: -0.0016
19
- - Mse: 1.3563
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 | 5.0067 | -0.0021 | 5.0067 |
51
- | No log | 0.2222 | 4 | 2.3688 | 0.0294 | 2.3688 |
52
- | No log | 0.3333 | 6 | 1.3423 | -0.0120 | 1.3423 |
53
- | No log | 0.4444 | 8 | 1.5207 | -0.0996 | 1.5207 |
54
- | No log | 0.5556 | 10 | 1.1292 | -0.0620 | 1.1292 |
55
- | No log | 0.6667 | 12 | 1.1093 | -0.0624 | 1.1093 |
56
- | No log | 0.7778 | 14 | 1.1280 | -0.1037 | 1.1280 |
57
- | No log | 0.8889 | 16 | 1.1271 | -0.0458 | 1.1271 |
58
- | No log | 1.0 | 18 | 1.1353 | -0.0286 | 1.1353 |
59
- | No log | 1.1111 | 20 | 1.2273 | 0.0 | 1.2273 |
60
- | No log | 1.2222 | 22 | 1.1922 | 0.0071 | 1.1922 |
61
- | No log | 1.3333 | 24 | 1.1874 | 0.0071 | 1.1874 |
62
- | No log | 1.4444 | 26 | 1.1668 | -0.0325 | 1.1668 |
63
- | No log | 1.5556 | 28 | 1.1666 | -0.0039 | 1.1666 |
64
- | No log | 1.6667 | 30 | 1.1595 | -0.0073 | 1.1595 |
65
- | No log | 1.7778 | 32 | 1.1718 | 0.0290 | 1.1718 |
66
- | No log | 1.8889 | 34 | 1.2238 | 0.0 | 1.2238 |
67
- | No log | 2.0 | 36 | 1.2276 | 0.0 | 1.2276 |
68
- | No log | 2.1111 | 38 | 1.1870 | -0.0366 | 1.1870 |
69
- | No log | 2.2222 | 40 | 1.1871 | -0.0785 | 1.1871 |
70
- | No log | 2.3333 | 42 | 1.2823 | -0.0775 | 1.2823 |
71
- | No log | 2.4444 | 44 | 1.2667 | -0.0775 | 1.2667 |
72
- | No log | 2.5556 | 46 | 1.1897 | -0.1036 | 1.1897 |
73
- | No log | 2.6667 | 48 | 1.2024 | -0.0005 | 1.2024 |
74
- | No log | 2.7778 | 50 | 1.2359 | -0.0107 | 1.2359 |
75
- | No log | 2.8889 | 52 | 1.2436 | -0.0073 | 1.2436 |
76
- | No log | 3.0 | 54 | 1.2335 | -0.0335 | 1.2335 |
77
- | No log | 3.1111 | 56 | 1.2366 | -0.0073 | 1.2366 |
78
- | No log | 3.2222 | 58 | 1.2111 | -0.0305 | 1.2111 |
79
- | No log | 3.3333 | 60 | 1.1935 | 0.0372 | 1.1935 |
80
- | No log | 3.4444 | 62 | 1.2135 | -0.0513 | 1.2135 |
81
- | No log | 3.5556 | 64 | 1.2077 | -0.0335 | 1.2077 |
82
- | No log | 3.6667 | 66 | 1.2202 | 0.0152 | 1.2202 |
83
- | No log | 3.7778 | 68 | 1.2293 | 0.0152 | 1.2293 |
84
- | No log | 3.8889 | 70 | 1.2441 | 0.0021 | 1.2441 |
85
- | No log | 4.0 | 72 | 1.2616 | 0.0583 | 1.2616 |
86
- | No log | 4.1111 | 74 | 1.2524 | -0.0046 | 1.2524 |
87
- | No log | 4.2222 | 76 | 1.2555 | -0.0433 | 1.2555 |
88
- | No log | 4.3333 | 78 | 1.2534 | 0.0522 | 1.2534 |
89
- | No log | 4.4444 | 80 | 1.2663 | 0.0174 | 1.2663 |
90
- | No log | 4.5556 | 82 | 1.2903 | -0.0521 | 1.2903 |
91
- | No log | 4.6667 | 84 | 1.2865 | -0.0521 | 1.2865 |
92
- | No log | 4.7778 | 86 | 1.2537 | -0.0389 | 1.2537 |
93
- | No log | 4.8889 | 88 | 1.2394 | -0.0348 | 1.2394 |
94
- | No log | 5.0 | 90 | 1.2581 | -0.0668 | 1.2581 |
95
- | No log | 5.1111 | 92 | 1.2785 | -0.0442 | 1.2785 |
96
- | No log | 5.2222 | 94 | 1.2996 | 0.0353 | 1.2996 |
97
- | No log | 5.3333 | 96 | 1.3274 | 0.0118 | 1.3274 |
98
- | No log | 5.4444 | 98 | 1.3336 | -0.0386 | 1.3336 |
99
- | No log | 5.5556 | 100 | 1.2963 | -0.0161 | 1.2963 |
100
- | No log | 5.6667 | 102 | 1.2938 | 0.0144 | 1.2938 |
101
- | No log | 5.7778 | 104 | 1.3454 | -0.0160 | 1.3454 |
102
- | No log | 5.8889 | 106 | 1.3525 | -0.0233 | 1.3525 |
103
- | No log | 6.0 | 108 | 1.3385 | 0.0349 | 1.3385 |
104
- | No log | 6.1111 | 110 | 1.3741 | -0.0338 | 1.3741 |
105
- | No log | 6.2222 | 112 | 1.4104 | -0.0362 | 1.4104 |
106
- | No log | 6.3333 | 114 | 1.4214 | -0.0478 | 1.4214 |
107
- | No log | 6.4444 | 116 | 1.4394 | -0.0301 | 1.4394 |
108
- | No log | 6.5556 | 118 | 1.4439 | -0.0301 | 1.4439 |
109
- | No log | 6.6667 | 120 | 1.3931 | -0.0486 | 1.3931 |
110
- | No log | 6.7778 | 122 | 1.3303 | -0.0123 | 1.3303 |
111
- | No log | 6.8889 | 124 | 1.2675 | -0.0795 | 1.2675 |
112
- | No log | 7.0 | 126 | 1.2466 | -0.0580 | 1.2466 |
113
- | No log | 7.1111 | 128 | 1.2543 | -0.0097 | 1.2543 |
114
- | No log | 7.2222 | 130 | 1.2895 | -0.0149 | 1.2895 |
115
- | No log | 7.3333 | 132 | 1.3307 | 0.0443 | 1.3307 |
116
- | No log | 7.4444 | 134 | 1.3809 | -0.0384 | 1.3809 |
117
- | No log | 7.5556 | 136 | 1.4319 | -0.1211 | 1.4319 |
118
- | No log | 7.6667 | 138 | 1.4611 | -0.0542 | 1.4611 |
119
- | No log | 7.7778 | 140 | 1.4378 | -0.0509 | 1.4378 |
120
- | No log | 7.8889 | 142 | 1.3913 | -0.0200 | 1.3913 |
121
- | No log | 8.0 | 144 | 1.3657 | -0.0247 | 1.3657 |
122
- | No log | 8.1111 | 146 | 1.3785 | -0.0093 | 1.3785 |
123
- | No log | 8.2222 | 148 | 1.3631 | 0.0143 | 1.3631 |
124
- | No log | 8.3333 | 150 | 1.3158 | -0.0532 | 1.3158 |
125
- | No log | 8.4444 | 152 | 1.2825 | 0.0371 | 1.2825 |
126
- | No log | 8.5556 | 154 | 1.2704 | 0.0035 | 1.2704 |
127
- | No log | 8.6667 | 156 | 1.2773 | 0.0377 | 1.2773 |
128
- | No log | 8.7778 | 158 | 1.2959 | 0.0377 | 1.2959 |
129
- | No log | 8.8889 | 160 | 1.3175 | 0.0625 | 1.3175 |
130
- | No log | 9.0 | 162 | 1.3404 | -0.0274 | 1.3404 |
131
- | No log | 9.1111 | 164 | 1.3572 | -0.0400 | 1.3572 |
132
- | No log | 9.2222 | 166 | 1.3639 | -0.0274 | 1.3639 |
133
- | No log | 9.3333 | 168 | 1.3672 | -0.0274 | 1.3672 |
134
- | No log | 9.4444 | 170 | 1.3652 | -0.0274 | 1.3652 |
135
- | No log | 9.5556 | 172 | 1.3654 | -0.0146 | 1.3654 |
136
- | No log | 9.6667 | 174 | 1.3609 | -0.0016 | 1.3609 |
137
- | No log | 9.7778 | 176 | 1.3588 | -0.0016 | 1.3588 |
138
- | No log | 9.8889 | 178 | 1.3572 | -0.0016 | 1.3572 |
139
- | No log | 10.0 | 180 | 1.3563 | -0.0016 | 1.3563 |
140
 
141
 
142
  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_organization_task6_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_task6_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: 0.5513
18
+ - Qwk: 0.8014
19
+ - Mse: 0.5513
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 | 1.7949 | 0.0785 | 1.7949 |
51
+ | No log | 0.25 | 4 | 1.3176 | 0.3355 | 1.3176 |
52
+ | No log | 0.375 | 6 | 1.0133 | 0.4987 | 1.0133 |
53
+ | No log | 0.5 | 8 | 0.8195 | 0.6242 | 0.8195 |
54
+ | No log | 0.625 | 10 | 0.6810 | 0.6733 | 0.6810 |
55
+ | No log | 0.75 | 12 | 0.6997 | 0.7476 | 0.6997 |
56
+ | No log | 0.875 | 14 | 0.8146 | 0.7416 | 0.8146 |
57
+ | No log | 1.0 | 16 | 0.7351 | 0.6641 | 0.7351 |
58
+ | No log | 1.125 | 18 | 0.6322 | 0.6459 | 0.6322 |
59
+ | No log | 1.25 | 20 | 0.6009 | 0.7063 | 0.6009 |
60
+ | No log | 1.375 | 22 | 0.6280 | 0.7695 | 0.6280 |
61
+ | No log | 1.5 | 24 | 0.6339 | 0.7783 | 0.6339 |
62
+ | No log | 1.625 | 26 | 0.6448 | 0.7702 | 0.6448 |
63
+ | No log | 1.75 | 28 | 0.5640 | 0.7779 | 0.5640 |
64
+ | No log | 1.875 | 30 | 0.5431 | 0.7439 | 0.5431 |
65
+ | No log | 2.0 | 32 | 0.5812 | 0.7734 | 0.5812 |
66
+ | No log | 2.125 | 34 | 0.6724 | 0.7815 | 0.6724 |
67
+ | No log | 2.25 | 36 | 0.7187 | 0.7729 | 0.7187 |
68
+ | No log | 2.375 | 38 | 0.5409 | 0.7541 | 0.5409 |
69
+ | No log | 2.5 | 40 | 0.5281 | 0.7293 | 0.5281 |
70
+ | No log | 2.625 | 42 | 0.6063 | 0.7901 | 0.6063 |
71
+ | No log | 2.75 | 44 | 0.6529 | 0.7684 | 0.6529 |
72
+ | No log | 2.875 | 46 | 0.5454 | 0.7558 | 0.5454 |
73
+ | No log | 3.0 | 48 | 0.5428 | 0.7521 | 0.5428 |
74
+ | No log | 3.125 | 50 | 0.6258 | 0.7773 | 0.6258 |
75
+ | No log | 3.25 | 52 | 0.6788 | 0.7753 | 0.6788 |
76
+ | No log | 3.375 | 54 | 0.5643 | 0.7870 | 0.5643 |
77
+ | No log | 3.5 | 56 | 0.5302 | 0.7485 | 0.5302 |
78
+ | No log | 3.625 | 58 | 0.5557 | 0.7880 | 0.5557 |
79
+ | No log | 3.75 | 60 | 0.6261 | 0.7858 | 0.6261 |
80
+ | No log | 3.875 | 62 | 0.5642 | 0.7914 | 0.5642 |
81
+ | No log | 4.0 | 64 | 0.5355 | 0.7849 | 0.5355 |
82
+ | No log | 4.125 | 66 | 0.5320 | 0.7895 | 0.5320 |
83
+ | No log | 4.25 | 68 | 0.5634 | 0.7939 | 0.5634 |
84
+ | No log | 4.375 | 70 | 0.5815 | 0.7876 | 0.5815 |
85
+ | No log | 4.5 | 72 | 0.5643 | 0.7947 | 0.5643 |
86
+ | No log | 4.625 | 74 | 0.5290 | 0.7923 | 0.5290 |
87
+ | No log | 4.75 | 76 | 0.5541 | 0.7948 | 0.5541 |
88
+ | No log | 4.875 | 78 | 0.6162 | 0.7857 | 0.6162 |
89
+ | No log | 5.0 | 80 | 0.5720 | 0.7885 | 0.5720 |
90
+ | No log | 5.125 | 82 | 0.5198 | 0.7815 | 0.5198 |
91
+ | No log | 5.25 | 84 | 0.5301 | 0.7775 | 0.5301 |
92
+ | No log | 5.375 | 86 | 0.5941 | 0.7837 | 0.5941 |
93
+ | No log | 5.5 | 88 | 0.5713 | 0.7985 | 0.5713 |
94
+ | No log | 5.625 | 90 | 0.5275 | 0.7835 | 0.5275 |
95
+ | No log | 5.75 | 92 | 0.5396 | 0.7877 | 0.5396 |
96
+ | No log | 5.875 | 94 | 0.5560 | 0.7929 | 0.5560 |
97
+ | No log | 6.0 | 96 | 0.5601 | 0.7822 | 0.5601 |
98
+ | No log | 6.125 | 98 | 0.5313 | 0.7829 | 0.5313 |
99
+ | No log | 6.25 | 100 | 0.5126 | 0.7686 | 0.5126 |
100
+ | No log | 6.375 | 102 | 0.5279 | 0.7834 | 0.5279 |
101
+ | No log | 6.5 | 104 | 0.5844 | 0.8096 | 0.5844 |
102
+ | No log | 6.625 | 106 | 0.5860 | 0.8086 | 0.5860 |
103
+ | No log | 6.75 | 108 | 0.5568 | 0.7963 | 0.5568 |
104
+ | No log | 6.875 | 110 | 0.5406 | 0.7844 | 0.5406 |
105
+ | No log | 7.0 | 112 | 0.5425 | 0.7887 | 0.5425 |
106
+ | No log | 7.125 | 114 | 0.5630 | 0.8032 | 0.5630 |
107
+ | No log | 7.25 | 116 | 0.5942 | 0.8088 | 0.5942 |
108
+ | No log | 7.375 | 118 | 0.6014 | 0.8083 | 0.6014 |
109
+ | No log | 7.5 | 120 | 0.5778 | 0.8081 | 0.5778 |
110
+ | No log | 7.625 | 122 | 0.5335 | 0.7946 | 0.5335 |
111
+ | No log | 7.75 | 124 | 0.5308 | 0.7931 | 0.5308 |
112
+ | No log | 7.875 | 126 | 0.5490 | 0.7917 | 0.5490 |
113
+ | No log | 8.0 | 128 | 0.5644 | 0.8045 | 0.5644 |
114
+ | No log | 8.125 | 130 | 0.5800 | 0.8050 | 0.5800 |
115
+ | No log | 8.25 | 132 | 0.5999 | 0.8207 | 0.5999 |
116
+ | No log | 8.375 | 134 | 0.5872 | 0.8085 | 0.5872 |
117
+ | No log | 8.5 | 136 | 0.5666 | 0.8035 | 0.5666 |
118
+ | No log | 8.625 | 138 | 0.5568 | 0.8039 | 0.5568 |
119
+ | No log | 8.75 | 140 | 0.5546 | 0.8000 | 0.5546 |
120
+ | No log | 8.875 | 142 | 0.5612 | 0.8043 | 0.5612 |
121
+ | No log | 9.0 | 144 | 0.5764 | 0.8146 | 0.5764 |
122
+ | No log | 9.125 | 146 | 0.5943 | 0.8208 | 0.5943 |
123
+ | No log | 9.25 | 148 | 0.6016 | 0.8226 | 0.6016 |
124
+ | No log | 9.375 | 150 | 0.5924 | 0.8205 | 0.5924 |
125
+ | No log | 9.5 | 152 | 0.5765 | 0.8109 | 0.5765 |
126
+ | No log | 9.625 | 154 | 0.5638 | 0.8056 | 0.5638 |
127
+ | No log | 9.75 | 156 | 0.5558 | 0.8031 | 0.5558 |
128
+ | No log | 9.875 | 158 | 0.5516 | 0.7992 | 0.5516 |
129
+ | No log | 10.0 | 160 | 0.5513 | 0.8014 | 0.5513 |
 
 
 
 
 
 
 
 
 
 
130
 
131
 
132
  ### Framework versions