Hugging Face's logo

salbatarni
/
arabert_baseline_organization_task2_fold1

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
29c1aec
•
1 Parent(s): 2807387

End of training

Browse files
Files changed (1) hide show
  1. README.md +37 -37
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_organization_task2_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_organization_task2_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: 0.4765
18
- - Qwk: 0.5051
19
- - Mse: 0.4812
20
 
21
  ## Model description
22
 
@@ -45,38 +45,38 @@ 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 | 0.3333 | 2 | 3.4785 | 0.0139 | 3.4271 |
51
- | No log | 0.6667 | 4 | 1.3527 | 0.0988 | 1.3438 |
52
- | No log | 1.0 | 6 | 0.9762 | 0.0466 | 0.9710 |
53
- | No log | 1.3333 | 8 | 0.5845 | 0.3068 | 0.5906 |
54
- | No log | 1.6667 | 10 | 0.6355 | 0.4901 | 0.6479 |
55
- | No log | 2.0 | 12 | 0.6002 | 0.4901 | 0.6080 |
56
- | No log | 2.3333 | 14 | 0.5521 | 0.3591 | 0.5519 |
57
- | No log | 2.6667 | 16 | 0.5671 | 0.5312 | 0.5733 |
58
- | No log | 3.0 | 18 | 0.5298 | 0.5351 | 0.5340 |
59
- | No log | 3.3333 | 20 | 0.5071 | 0.3871 | 0.4996 |
60
- | No log | 3.6667 | 22 | 0.4892 | 0.3871 | 0.4817 |
61
- | No log | 4.0 | 24 | 0.4557 | 0.5051 | 0.4597 |
62
- | No log | 4.3333 | 26 | 0.5421 | 0.5205 | 0.5533 |
63
- | No log | 4.6667 | 28 | 0.5017 | 0.5263 | 0.5115 |
64
- | No log | 5.0 | 30 | 0.4329 | 0.5365 | 0.4364 |
65
- | No log | 5.3333 | 32 | 0.4203 | 0.4431 | 0.4190 |
66
- | No log | 5.6667 | 34 | 0.4083 | 0.4848 | 0.4015 |
67
- | No log | 6.0 | 36 | 0.4520 | 0.4167 | 0.4366 |
68
- | No log | 6.3333 | 38 | 0.4291 | 0.4396 | 0.4158 |
69
- | No log | 6.6667 | 40 | 0.4230 | 0.4324 | 0.4110 |
70
- | No log | 7.0 | 42 | 0.4029 | 0.4848 | 0.3965 |
71
- | No log | 7.3333 | 44 | 0.4095 | 0.4848 | 0.4043 |
72
- | No log | 7.6667 | 46 | 0.4194 | 0.4149 | 0.4149 |
73
- | No log | 8.0 | 48 | 0.4324 | 0.5051 | 0.4317 |
74
- | No log | 8.3333 | 50 | 0.4591 | 0.5051 | 0.4628 |
75
- | No log | 8.6667 | 52 | 0.4758 | 0.4652 | 0.4811 |
76
- | No log | 9.0 | 54 | 0.4791 | 0.4652 | 0.4844 |
77
- | No log | 9.3333 | 56 | 0.4781 | 0.4652 | 0.4831 |
78
- | No log | 9.6667 | 58 | 0.4760 | 0.5051 | 0.4806 |
79
- | No log | 10.0 | 60 | 0.4765 | 0.5051 | 0.4812 |
80
 
81
 
82
  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_baseline_organization_task2_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_organization_task2_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: 0.4740
18
+ - Qwk: 0.5263
19
+ - Mse: 0.4884
20
 
21
  ## Model description
22
 
 
45
 
46
  ### Training results
47
 
48
+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
49
+ |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
50
+ | No log | 0.3333 | 2 | 2.7474 | 0.0719 | 2.8478 |
51
+ | No log | 0.6667 | 4 | 0.9337 | 0.1600 | 0.9879 |
52
+ | No log | 1.0 | 6 | 0.4534 | 0.0 | 0.4764 |
53
+ | No log | 1.3333 | 8 | 0.7904 | -0.0408 | 0.7830 |
54
+ | No log | 1.6667 | 10 | 0.7018 | 0.0769 | 0.6973 |
55
+ | No log | 2.0 | 12 | 0.5298 | 0.2258 | 0.5356 |
56
+ | No log | 2.3333 | 14 | 0.4547 | 0.0 | 0.4751 |
57
+ | No log | 2.6667 | 16 | 0.4579 | 0.0 | 0.4810 |
58
+ | No log | 3.0 | 18 | 0.4621 | 0.0 | 0.4849 |
59
+ | No log | 3.3333 | 20 | 0.5042 | 0.1563 | 0.5232 |
60
+ | No log | 3.6667 | 22 | 0.5058 | 0.1905 | 0.5230 |
61
+ | No log | 4.0 | 24 | 0.4808 | 0.2623 | 0.4947 |
62
+ | No log | 4.3333 | 26 | 0.4464 | 0.4828 | 0.4576 |
63
+ | No log | 4.6667 | 28 | 0.3793 | 0.2258 | 0.3943 |
64
+ | No log | 5.0 | 30 | 0.3971 | 0.2623 | 0.4100 |
65
+ | No log | 5.3333 | 32 | 0.5018 | 0.5263 | 0.5120 |
66
+ | No log | 5.6667 | 34 | 0.5357 | 0.3390 | 0.5481 |
67
+ | No log | 6.0 | 36 | 0.4854 | 0.3000 | 0.5002 |
68
+ | No log | 6.3333 | 38 | 0.4022 | 0.2623 | 0.4219 |
69
+ | No log | 6.6667 | 40 | 0.4018 | 0.2597 | 0.4313 |
70
+ | No log | 7.0 | 42 | 0.4157 | 0.2597 | 0.4485 |
71
+ | No log | 7.3333 | 44 | 0.3858 | 0.2895 | 0.4130 |
72
+ | No log | 7.6667 | 46 | 0.3839 | 0.3200 | 0.4045 |
73
+ | No log | 8.0 | 48 | 0.4237 | 0.5263 | 0.4396 |
74
+ | No log | 8.3333 | 50 | 0.4462 | 0.5263 | 0.4608 |
75
+ | No log | 8.6667 | 52 | 0.4536 | 0.5263 | 0.4681 |
76
+ | No log | 9.0 | 54 | 0.4620 | 0.5263 | 0.4764 |
77
+ | No log | 9.3333 | 56 | 0.4700 | 0.5263 | 0.4842 |
78
+ | No log | 9.6667 | 58 | 0.4698 | 0.5263 | 0.4842 |
79
+ | No log | 10.0 | 60 | 0.4740 | 0.5263 | 0.4884 |
80
 
81
 
82
  ### Framework versions