Hugging Face's logo

salbatarni
/
arabert_baseline_style_task7_fold1

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
6b8b58c
•
1 Parent(s): 4666544

End of training

Browse files
Files changed (1) hide show
  1. README.md +35 -35
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_baseline_style_task7_fold0
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_baseline_style_task7_fold0
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: 0.4980
18
- - Qwk: 0.5556
19
- - Mse: 0.4980
20
 
21
  ## Model description
22
 
@@ -47,36 +47,36 @@ The following hyperparameters were used during training:
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
49
  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
50
- | No log | 0.3333 | 2 | 1.5251 | 0.0993 | 1.5251 |
51
- | No log | 0.6667 | 4 | 0.8432 | 0.4389 | 0.8432 |
52
- | No log | 1.0 | 6 | 1.0961 | 0.4310 | 1.0961 |
53
- | No log | 1.3333 | 8 | 1.4643 | 0.4246 | 1.4643 |
54
- | No log | 1.6667 | 10 | 0.7875 | 0.4595 | 0.7875 |
55
- | No log | 2.0 | 12 | 0.5137 | 0.6346 | 0.5137 |
56
- | No log | 2.3333 | 14 | 0.6935 | 0.5893 | 0.6935 |
57
- | No log | 2.6667 | 16 | 0.6820 | 0.5547 | 0.6820 |
58
- | No log | 3.0 | 18 | 0.8761 | 0.4868 | 0.8761 |
59
- | No log | 3.3333 | 20 | 1.0195 | 0.4553 | 1.0195 |
60
- | No log | 3.6667 | 22 | 0.7568 | 0.4924 | 0.7568 |
61
- | No log | 4.0 | 24 | 0.5131 | 0.5471 | 0.5131 |
62
- | No log | 4.3333 | 26 | 0.4657 | 0.5627 | 0.4657 |
63
- | No log | 4.6667 | 28 | 0.4764 | 0.5471 | 0.4764 |
64
- | No log | 5.0 | 30 | 0.5337 | 0.4983 | 0.5337 |
65
- | No log | 5.3333 | 32 | 0.6627 | 0.4983 | 0.6627 |
66
- | No log | 5.6667 | 34 | 0.6382 | 0.4983 | 0.6382 |
67
- | No log | 6.0 | 36 | 0.5386 | 0.4983 | 0.5386 |
68
- | No log | 6.3333 | 38 | 0.4986 | 0.5398 | 0.4986 |
69
- | No log | 6.6667 | 40 | 0.4838 | 0.5471 | 0.4838 |
70
- | No log | 7.0 | 42 | 0.4885 | 0.5471 | 0.4885 |
71
- | No log | 7.3333 | 44 | 0.5346 | 0.5398 | 0.5346 |
72
- | No log | 7.6667 | 46 | 0.6171 | 0.5090 | 0.6171 |
73
- | No log | 8.0 | 48 | 0.6649 | 0.5090 | 0.6649 |
74
- | No log | 8.3333 | 50 | 0.6483 | 0.5090 | 0.6483 |
75
- | No log | 8.6667 | 52 | 0.5915 | 0.5090 | 0.5915 |
76
- | No log | 9.0 | 54 | 0.5598 | 0.4983 | 0.5598 |
77
- | No log | 9.3333 | 56 | 0.5257 | 0.5556 | 0.5257 |
78
- | No log | 9.6667 | 58 | 0.5073 | 0.5556 | 0.5073 |
79
- | No log | 10.0 | 60 | 0.4980 | 0.5556 | 0.4980 |
80
 
81
 
82
  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_baseline_style_task7_fold1
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_baseline_style_task7_fold1
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: 0.3701
18
+ - Qwk: 0.7283
19
+ - Mse: 0.3603
20
 
21
  ## Model description
22
 
 
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
49
  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
50
+ | No log | 0.3333 | 2 | 0.7720 | 0.3388 | 0.7758 |
51
+ | No log | 0.6667 | 4 | 0.5488 | 0.6361 | 0.5756 |
52
+ | No log | 1.0 | 6 | 0.6199 | 0.6083 | 0.6502 |
53
+ | No log | 1.3333 | 8 | 0.5891 | 0.3780 | 0.5962 |
54
+ | No log | 1.6667 | 10 | 0.5013 | 0.5556 | 0.5111 |
55
+ | No log | 2.0 | 12 | 0.4841 | 0.7640 | 0.4991 |
56
+ | No log | 2.3333 | 14 | 0.4386 | 0.784 | 0.4514 |
57
+ | No log | 2.6667 | 16 | 0.4343 | 0.6667 | 0.4393 |
58
+ | No log | 3.0 | 18 | 0.4876 | 0.6206 | 0.4868 |
59
+ | No log | 3.3333 | 20 | 0.4572 | 0.6294 | 0.4528 |
60
+ | No log | 3.6667 | 22 | 0.3651 | 0.6769 | 0.3604 |
61
+ | No log | 4.0 | 24 | 0.3743 | 0.6434 | 0.3662 |
62
+ | No log | 4.3333 | 26 | 0.4705 | 0.6261 | 0.4557 |
63
+ | No log | 4.6667 | 28 | 0.5940 | 0.5033 | 0.5754 |
64
+ | No log | 5.0 | 30 | 0.5564 | 0.5650 | 0.5374 |
65
+ | No log | 5.3333 | 32 | 0.4207 | 0.6607 | 0.4059 |
66
+ | No log | 5.6667 | 34 | 0.3696 | 0.6637 | 0.3577 |
67
+ | No log | 6.0 | 36 | 0.3816 | 0.6607 | 0.3687 |
68
+ | No log | 6.3333 | 38 | 0.4231 | 0.6261 | 0.4080 |
69
+ | No log | 6.6667 | 40 | 0.4191 | 0.6261 | 0.4044 |
70
+ | No log | 7.0 | 42 | 0.4158 | 0.6261 | 0.4016 |
71
+ | No log | 7.3333 | 44 | 0.4009 | 0.6261 | 0.3875 |
72
+ | No log | 7.6667 | 46 | 0.3811 | 0.6474 | 0.3694 |
73
+ | No log | 8.0 | 48 | 0.3746 | 0.6810 | 0.3639 |
74
+ | No log | 8.3333 | 50 | 0.3601 | 0.7283 | 0.3514 |
75
+ | No log | 8.6667 | 52 | 0.3557 | 0.7283 | 0.3474 |
76
+ | No log | 9.0 | 54 | 0.3591 | 0.7283 | 0.3506 |
77
+ | No log | 9.3333 | 56 | 0.3648 | 0.7283 | 0.3558 |
78
+ | No log | 9.6667 | 58 | 0.3690 | 0.7283 | 0.3593 |
79
+ | No log | 10.0 | 60 | 0.3701 | 0.7283 | 0.3603 |
80
 
81
 
82
  ### Framework versions