Hugging Face's logo

salbatarni
/
arabert_cross_vocabulary_task7_fold5

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
d5c396e
•
1 Parent(s): 7415f6b

End of training

Browse files
Files changed (1) hide show
  1. README.md +35 -33
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_task7_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_vocabulary_task7_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: 0.9341
18
- - Qwk: 0.8036
19
- - Mse: 0.9341
20
 
21
  ## Model description
22
 
@@ -47,34 +47,36 @@ The following hyperparameters were used during training:
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
49
  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
50
- | No log | 0.0351 | 2 | 3.7363 | 0.0136 | 3.7363 |
51
- | No log | 0.0702 | 4 | 2.3106 | 0.1619 | 2.3106 |
52
- | No log | 0.1053 | 6 | 1.8172 | 0.1692 | 1.8172 |
53
- | No log | 0.1404 | 8 | 1.6116 | 0.2787 | 1.6116 |
54
- | No log | 0.1754 | 10 | 1.8910 | 0.3258 | 1.8910 |
55
- | No log | 0.2105 | 12 | 1.8785 | 0.4430 | 1.8785 |
56
- | No log | 0.2456 | 14 | 1.8131 | 0.4299 | 1.8131 |
57
- | No log | 0.2807 | 16 | 2.0288 | 0.5063 | 2.0288 |
58
- | No log | 0.3158 | 18 | 1.6252 | 0.5783 | 1.6252 |
59
- | No log | 0.3509 | 20 | 1.4668 | 0.6465 | 1.4668 |
60
- | No log | 0.3860 | 22 | 1.1133 | 0.6929 | 1.1133 |
61
- | No log | 0.4211 | 24 | 0.8668 | 0.7249 | 0.8668 |
62
- | No log | 0.4561 | 26 | 0.9262 | 0.7457 | 0.9262 |
63
- | No log | 0.4912 | 28 | 1.0096 | 0.7462 | 1.0096 |
64
- | No log | 0.5263 | 30 | 1.0968 | 0.7380 | 1.0968 |
65
- | No log | 0.5614 | 32 | 1.1232 | 0.7473 | 1.1232 |
66
- | No log | 0.5965 | 34 | 1.1632 | 0.7453 | 1.1632 |
67
- | No log | 0.6316 | 36 | 1.1137 | 0.7662 | 1.1137 |
68
- | No log | 0.6667 | 38 | 1.0328 | 0.7794 | 1.0328 |
69
- | No log | 0.7018 | 40 | 0.8546 | 0.8110 | 0.8546 |
70
- | No log | 0.7368 | 42 | 0.7276 | 0.7840 | 0.7276 |
71
- | No log | 0.7719 | 44 | 0.6916 | 0.7793 | 0.6916 |
72
- | No log | 0.8070 | 46 | 0.7025 | 0.7855 | 0.7025 |
73
- | No log | 0.8421 | 48 | 0.7202 | 0.7971 | 0.7202 |
74
- | No log | 0.8772 | 50 | 0.7770 | 0.8095 | 0.7770 |
75
- | No log | 0.9123 | 52 | 0.8545 | 0.8154 | 0.8545 |
76
- | No log | 0.9474 | 54 | 0.9105 | 0.8088 | 0.9105 |
77
- | No log | 0.9825 | 56 | 0.9341 | 0.8036 | 0.9341 |
 
 
78
 
79
 
80
  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_vocabulary_task7_fold5
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_task7_fold5
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: 0.4813
18
+ - Qwk: 0.8159
19
+ - Mse: 0.4813
20
 
21
  ## Model description
22
 
 
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
49
  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
50
+ | No log | 0.0328 | 2 | 1.7829 | 0.0226 | 1.7829 |
51
+ | No log | 0.0656 | 4 | 1.0550 | 0.3246 | 1.0550 |
52
+ | No log | 0.0984 | 6 | 1.2058 | 0.3390 | 1.2058 |
53
+ | No log | 0.1311 | 8 | 1.2897 | 0.4716 | 1.2897 |
54
+ | No log | 0.1639 | 10 | 0.7738 | 0.6671 | 0.7738 |
55
+ | No log | 0.1967 | 12 | 0.4801 | 0.6113 | 0.4801 |
56
+ | No log | 0.2295 | 14 | 0.4704 | 0.6859 | 0.4704 |
57
+ | No log | 0.2623 | 16 | 0.6162 | 0.7884 | 0.6162 |
58
+ | No log | 0.2951 | 18 | 0.8233 | 0.7575 | 0.8233 |
59
+ | No log | 0.3279 | 20 | 0.8253 | 0.7631 | 0.8253 |
60
+ | No log | 0.3607 | 22 | 0.6816 | 0.7772 | 0.6816 |
61
+ | No log | 0.3934 | 24 | 0.6169 | 0.7875 | 0.6169 |
62
+ | No log | 0.4262 | 26 | 0.6070 | 0.7969 | 0.6070 |
63
+ | No log | 0.4590 | 28 | 0.5939 | 0.7990 | 0.5939 |
64
+ | No log | 0.4918 | 30 | 0.5668 | 0.7902 | 0.5668 |
65
+ | No log | 0.5246 | 32 | 0.5026 | 0.8069 | 0.5026 |
66
+ | No log | 0.5574 | 34 | 0.5333 | 0.7935 | 0.5333 |
67
+ | No log | 0.5902 | 36 | 0.6348 | 0.8099 | 0.6348 |
68
+ | No log | 0.6230 | 38 | 0.7737 | 0.7826 | 0.7737 |
69
+ | No log | 0.6557 | 40 | 0.7722 | 0.7861 | 0.7722 |
70
+ | No log | 0.6885 | 42 | 0.6762 | 0.7874 | 0.6762 |
71
+ | No log | 0.7213 | 44 | 0.5498 | 0.8024 | 0.5498 |
72
+ | No log | 0.7541 | 46 | 0.4936 | 0.8014 | 0.4936 |
73
+ | No log | 0.7869 | 48 | 0.4728 | 0.8025 | 0.4728 |
74
+ | No log | 0.8197 | 50 | 0.4592 | 0.8048 | 0.4592 |
75
+ | No log | 0.8525 | 52 | 0.4339 | 0.8081 | 0.4339 |
76
+ | No log | 0.8852 | 54 | 0.4330 | 0.8048 | 0.4330 |
77
+ | No log | 0.9180 | 56 | 0.4495 | 0.8048 | 0.4495 |
78
+ | No log | 0.9508 | 58 | 0.4689 | 0.8114 | 0.4689 |
79
+ | No log | 0.9836 | 60 | 0.4813 | 0.8159 | 0.4813 |
80
 
81
 
82
  ### Framework versions