Hugging Face's logo

salbatarni
/
arabert_cross_vocabulary_task1_fold3

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
66273e3
·
verified ·
1 Parent(s): 3e4fc13

End of training

Browse files
Files changed (1) hide show
  1. README.md +82 -92
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_vocabulary_task1_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_vocabulary_task1_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: 0.8384
18
- - Qwk: 0.0355
19
- - Mse: 0.8384
20
 
21
  ## Model description
22
 
@@ -45,93 +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 | 0.1176 | 2 | 4.6248 | -0.0324 | 4.6248 |
51
- | No log | 0.2353 | 4 | 1.7789 | 0.0201 | 1.7789 |
52
- | No log | 0.3529 | 6 | 0.8842 | 0.0565 | 0.8842 |
53
- | No log | 0.4706 | 8 | 0.8601 | -0.0731 | 0.8601 |
54
- | No log | 0.5882 | 10 | 0.8512 | -0.0838 | 0.8512 |
55
- | No log | 0.7059 | 12 | 0.7752 | -0.0229 | 0.7752 |
56
- | No log | 0.8235 | 14 | 0.7856 | 0.0496 | 0.7856 |
57
- | No log | 0.9412 | 16 | 0.7647 | 0.0550 | 0.7647 |
58
- | No log | 1.0588 | 18 | 0.8100 | 0.0 | 0.8100 |
59
- | No log | 1.1765 | 20 | 0.9168 | 0.0 | 0.9168 |
60
- | No log | 1.2941 | 22 | 0.8569 | 0.0 | 0.8569 |
61
- | No log | 1.4118 | 24 | 0.7547 | 0.0 | 0.7547 |
62
- | No log | 1.5294 | 26 | 0.7737 | 0.0 | 0.7737 |
63
- | No log | 1.6471 | 28 | 0.7574 | 0.0 | 0.7574 |
64
- | No log | 1.7647 | 30 | 0.7125 | 0.0550 | 0.7125 |
65
- | No log | 1.8824 | 32 | 0.7216 | 0.0 | 0.7216 |
66
- | No log | 2.0 | 34 | 1.0254 | -0.0072 | 1.0254 |
67
- | No log | 2.1176 | 36 | 1.2005 | 0.1411 | 1.2005 |
68
- | No log | 2.2353 | 38 | 1.0049 | -0.0072 | 1.0049 |
69
- | No log | 2.3529 | 40 | 0.7418 | 0.0140 | 0.7418 |
70
- | No log | 2.4706 | 42 | 0.7130 | 0.0441 | 0.7130 |
71
- | No log | 2.5882 | 44 | 0.7791 | 0.0 | 0.7791 |
72
- | No log | 2.7059 | 46 | 0.9107 | -0.0072 | 0.9107 |
73
- | No log | 2.8235 | 48 | 0.8828 | 0.0 | 0.8828 |
74
- | No log | 2.9412 | 50 | 0.7509 | 0.0268 | 0.7509 |
75
- | No log | 3.0588 | 52 | 0.7111 | 0.1173 | 0.7111 |
76
- | No log | 3.1765 | 54 | 0.7162 | 0.1309 | 0.7162 |
77
- | No log | 3.2941 | 56 | 0.7366 | 0.0386 | 0.7366 |
78
- | No log | 3.4118 | 58 | 0.8225 | 0.0 | 0.8225 |
79
- | No log | 3.5294 | 60 | 0.7895 | -0.0072 | 0.7895 |
80
- | No log | 3.6471 | 62 | 0.7926 | -0.0072 | 0.7926 |
81
- | No log | 3.7647 | 64 | 0.8031 | -0.0072 | 0.8031 |
82
- | No log | 3.8824 | 66 | 0.8109 | 0.0 | 0.8109 |
83
- | No log | 4.0 | 68 | 0.7670 | 0.0361 | 0.7670 |
84
- | No log | 4.1176 | 70 | 0.7062 | 0.0643 | 0.7062 |
85
- | No log | 4.2353 | 72 | 0.6998 | 0.1209 | 0.6998 |
86
- | No log | 4.3529 | 74 | 0.7169 | 0.0755 | 0.7169 |
87
- | No log | 4.4706 | 76 | 0.8345 | -0.0072 | 0.8345 |
88
- | No log | 4.5882 | 78 | 0.9136 | 0.0387 | 0.9136 |
89
- | No log | 4.7059 | 80 | 0.8757 | 0.0086 | 0.8757 |
90
- | No log | 4.8235 | 82 | 0.8750 | 0.0086 | 0.8750 |
91
- | No log | 4.9412 | 84 | 0.8295 | 0.0 | 0.8295 |
92
- | No log | 5.0588 | 86 | 0.7644 | 0.0069 | 0.7644 |
93
- | No log | 5.1765 | 88 | 0.7883 | 0.0069 | 0.7883 |
94
- | No log | 5.2941 | 90 | 0.8861 | 0.1343 | 0.8861 |
95
- | No log | 5.4118 | 92 | 0.8567 | -0.0144 | 0.8567 |
96
- | No log | 5.5294 | 94 | 0.7787 | 0.0480 | 0.7787 |
97
- | No log | 5.6471 | 96 | 0.7991 | 0.0361 | 0.7991 |
98
- | No log | 5.7647 | 98 | 0.8546 | 0.0361 | 0.8546 |
99
- | No log | 5.8824 | 100 | 0.8059 | 0.0434 | 0.8059 |
100
- | No log | 6.0 | 102 | 0.7338 | 0.0846 | 0.7338 |
101
- | No log | 6.1176 | 104 | 0.7167 | 0.1209 | 0.7167 |
102
- | No log | 6.2353 | 106 | 0.7205 | 0.1209 | 0.7205 |
103
- | No log | 6.3529 | 108 | 0.7597 | 0.0707 | 0.7597 |
104
- | No log | 6.4706 | 110 | 0.8598 | -0.0136 | 0.8598 |
105
- | No log | 6.5882 | 112 | 0.8616 | 0.0376 | 0.8616 |
106
- | No log | 6.7059 | 114 | 0.7980 | 0.0940 | 0.7980 |
107
- | No log | 6.8235 | 116 | 0.7853 | 0.0940 | 0.7853 |
108
- | No log | 6.9412 | 118 | 0.7673 | 0.1027 | 0.7673 |
109
- | No log | 7.0588 | 120 | 0.7550 | 0.1069 | 0.7550 |
110
- | No log | 7.1765 | 122 | 0.7670 | 0.1027 | 0.7670 |
111
- | No log | 7.2941 | 124 | 0.8362 | 0.0822 | 0.8362 |
112
- | No log | 7.4118 | 126 | 0.8895 | -0.0054 | 0.8895 |
113
- | No log | 7.5294 | 128 | 0.9417 | -0.0470 | 0.9417 |
114
- | No log | 7.6471 | 130 | 0.9102 | -0.0406 | 0.9102 |
115
- | No log | 7.7647 | 132 | 0.8290 | 0.0355 | 0.8290 |
116
- | No log | 7.8824 | 134 | 0.7603 | 0.0736 | 0.7603 |
117
- | No log | 8.0 | 136 | 0.7354 | 0.0643 | 0.7354 |
118
- | No log | 8.1176 | 138 | 0.7294 | 0.0643 | 0.7294 |
119
- | No log | 8.2353 | 140 | 0.7448 | 0.0596 | 0.7448 |
120
- | No log | 8.3529 | 142 | 0.7876 | -0.0216 | 0.7876 |
121
- | No log | 8.4706 | 144 | 0.8424 | 0.0081 | 0.8424 |
122
- | No log | 8.5882 | 146 | 0.8830 | 0.0295 | 0.8830 |
123
- | No log | 8.7059 | 148 | 0.8829 | 0.0295 | 0.8829 |
124
- | No log | 8.8235 | 150 | 0.8593 | 0.0295 | 0.8593 |
125
- | No log | 8.9412 | 152 | 0.8214 | 0.0355 | 0.8214 |
126
- | No log | 9.0588 | 154 | 0.7878 | 0.1217 | 0.7878 |
127
- | No log | 9.1765 | 156 | 0.7838 | 0.1255 | 0.7838 |
128
- | No log | 9.2941 | 158 | 0.7871 | 0.1255 | 0.7871 |
129
- | No log | 9.4118 | 160 | 0.7920 | 0.1255 | 0.7920 |
130
- | No log | 9.5294 | 162 | 0.7986 | 0.0388 | 0.7986 |
131
- | No log | 9.6471 | 164 | 0.8132 | 0.0479 | 0.8132 |
132
- | No log | 9.7647 | 166 | 0.8290 | 0.0355 | 0.8290 |
133
- | No log | 9.8824 | 168 | 0.8368 | 0.0355 | 0.8368 |
134
- | No log | 10.0 | 170 | 0.8384 | 0.0355 | 0.8384 |
135
 
136
 
137
  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_vocabulary_task1_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_vocabulary_task1_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: 0.6543
18
+ - Qwk: 0.8547
19
+ - Mse: 0.6543
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 | 2.1991 | 0.1474 | 2.1991 |
51
+ | No log | 0.2667 | 4 | 1.6062 | 0.1520 | 1.6062 |
52
+ | No log | 0.4 | 6 | 1.5937 | 0.3436 | 1.5937 |
53
+ | No log | 0.5333 | 8 | 1.1613 | 0.6120 | 1.1613 |
54
+ | No log | 0.6667 | 10 | 1.0503 | 0.7478 | 1.0503 |
55
+ | No log | 0.8 | 12 | 0.7718 | 0.7837 | 0.7718 |
56
+ | No log | 0.9333 | 14 | 0.6578 | 0.7874 | 0.6578 |
57
+ | No log | 1.0667 | 16 | 0.6200 | 0.7876 | 0.6200 |
58
+ | No log | 1.2 | 18 | 0.6610 | 0.8102 | 0.6610 |
59
+ | No log | 1.3333 | 20 | 0.6508 | 0.8233 | 0.6508 |
60
+ | No log | 1.4667 | 22 | 0.6181 | 0.8360 | 0.6181 |
61
+ | No log | 1.6 | 24 | 0.6494 | 0.8333 | 0.6494 |
62
+ | No log | 1.7333 | 26 | 0.5220 | 0.7872 | 0.5220 |
63
+ | No log | 1.8667 | 28 | 0.5440 | 0.8098 | 0.5440 |
64
+ | No log | 2.0 | 30 | 0.6917 | 0.8299 | 0.6917 |
65
+ | No log | 2.1333 | 32 | 0.7100 | 0.8241 | 0.7100 |
66
+ | No log | 2.2667 | 34 | 0.6018 | 0.8256 | 0.6018 |
67
+ | No log | 2.4 | 36 | 0.5920 | 0.8362 | 0.5920 |
68
+ | No log | 2.5333 | 38 | 0.5900 | 0.8254 | 0.5900 |
69
+ | No log | 2.6667 | 40 | 0.5183 | 0.8071 | 0.5183 |
70
+ | No log | 2.8 | 42 | 0.5565 | 0.8214 | 0.5565 |
71
+ | No log | 2.9333 | 44 | 0.5828 | 0.8308 | 0.5828 |
72
+ | No log | 3.0667 | 46 | 0.6086 | 0.8345 | 0.6086 |
73
+ | No log | 3.2 | 48 | 0.9512 | 0.8040 | 0.9512 |
74
+ | No log | 3.3333 | 50 | 1.0514 | 0.7892 | 1.0514 |
75
+ | No log | 3.4667 | 52 | 0.7574 | 0.8307 | 0.7574 |
76
+ | No log | 3.6 | 54 | 0.5438 | 0.8157 | 0.5438 |
77
+ | No log | 3.7333 | 56 | 0.5688 | 0.8295 | 0.5688 |
78
+ | No log | 3.8667 | 58 | 0.7090 | 0.8272 | 0.7090 |
79
+ | No log | 4.0 | 60 | 0.6153 | 0.8315 | 0.6153 |
80
+ | No log | 4.1333 | 62 | 0.5938 | 0.8311 | 0.5938 |
81
+ | No log | 4.2667 | 64 | 0.5535 | 0.8284 | 0.5535 |
82
+ | No log | 4.4 | 66 | 0.7113 | 0.8397 | 0.7113 |
83
+ | No log | 4.5333 | 68 | 0.7956 | 0.8396 | 0.7956 |
84
+ | No log | 4.6667 | 70 | 0.6577 | 0.8415 | 0.6577 |
85
+ | No log | 4.8 | 72 | 0.5410 | 0.8175 | 0.5410 |
86
+ | No log | 4.9333 | 74 | 0.5447 | 0.8164 | 0.5447 |
87
+ | No log | 5.0667 | 76 | 0.6400 | 0.8362 | 0.6400 |
88
+ | No log | 5.2 | 78 | 0.6465 | 0.8350 | 0.6465 |
89
+ | No log | 5.3333 | 80 | 0.5521 | 0.8190 | 0.5521 |
90
+ | No log | 5.4667 | 82 | 0.5413 | 0.8159 | 0.5413 |
91
+ | No log | 5.6 | 84 | 0.5904 | 0.8356 | 0.5904 |
92
+ | No log | 5.7333 | 86 | 0.6050 | 0.8329 | 0.6050 |
93
+ | No log | 5.8667 | 88 | 0.5617 | 0.8344 | 0.5617 |
94
+ | No log | 6.0 | 90 | 0.5078 | 0.8086 | 0.5078 |
95
+ | No log | 6.1333 | 92 | 0.5744 | 0.8431 | 0.5744 |
96
+ | No log | 6.2667 | 94 | 0.8177 | 0.8508 | 0.8177 |
97
+ | No log | 6.4 | 96 | 0.9516 | 0.8372 | 0.9516 |
98
+ | No log | 6.5333 | 98 | 0.8522 | 0.8514 | 0.8522 |
99
+ | No log | 6.6667 | 100 | 0.6484 | 0.8513 | 0.6484 |
100
+ | No log | 6.8 | 102 | 0.5556 | 0.8426 | 0.5556 |
101
+ | No log | 6.9333 | 104 | 0.5410 | 0.8334 | 0.5410 |
102
+ | No log | 7.0667 | 106 | 0.6003 | 0.8457 | 0.6003 |
103
+ | No log | 7.2 | 108 | 0.6955 | 0.8578 | 0.6955 |
104
+ | No log | 7.3333 | 110 | 0.6870 | 0.8586 | 0.6870 |
105
+ | No log | 7.4667 | 112 | 0.6444 | 0.8510 | 0.6444 |
106
+ | No log | 7.6 | 114 | 0.5518 | 0.8355 | 0.5518 |
107
+ | No log | 7.7333 | 116 | 0.5347 | 0.8285 | 0.5347 |
108
+ | No log | 7.8667 | 118 | 0.5790 | 0.8402 | 0.5790 |
109
+ | No log | 8.0 | 120 | 0.6668 | 0.8499 | 0.6668 |
110
+ | No log | 8.1333 | 122 | 0.6878 | 0.8492 | 0.6878 |
111
+ | No log | 8.2667 | 124 | 0.6406 | 0.8545 | 0.6406 |
112
+ | No log | 8.4 | 126 | 0.6005 | 0.8510 | 0.6005 |
113
+ | No log | 8.5333 | 128 | 0.6017 | 0.8494 | 0.6017 |
114
+ | No log | 8.6667 | 130 | 0.5940 | 0.8481 | 0.5940 |
115
+ | No log | 8.8 | 132 | 0.5792 | 0.8445 | 0.5792 |
116
+ | No log | 8.9333 | 134 | 0.5857 | 0.8481 | 0.5857 |
117
+ | No log | 9.0667 | 136 | 0.6217 | 0.8492 | 0.6217 |
118
+ | No log | 9.2 | 138 | 0.6735 | 0.8562 | 0.6735 |
119
+ | No log | 9.3333 | 140 | 0.7067 | 0.8519 | 0.7067 |
120
+ | No log | 9.4667 | 142 | 0.7028 | 0.8584 | 0.7028 |
121
+ | No log | 9.6 | 144 | 0.7006 | 0.8584 | 0.7006 |
122
+ | No log | 9.7333 | 146 | 0.6820 | 0.8583 | 0.6820 |
123
+ | No log | 9.8667 | 148 | 0.6634 | 0.8629 | 0.6634 |
124
+ | No log | 10.0 | 150 | 0.6543 | 0.8547 | 0.6543 |
 
 
 
 
 
 
 
 
 
 
125
 
126
 
127
  ### Framework versions