Hugging Face's logo

salbatarni
/
arabert_baseline_organization_task7_fold0

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
befcee3
•
1 Parent(s): ace7314

End of training

Browse files
Files changed (1) hide show
  1. README.md +37 -27
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_task6_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_task6_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: 0.2898
18
- - Qwk: 0.7030
19
- - Mse: 0.2898
20
 
21
  ## Model description
22
 
@@ -45,28 +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 | 0.5 | 2 | 0.9213 | 0.0731 | 0.9213 |
51
- | No log | 1.0 | 4 | 0.6822 | 0.1579 | 0.6822 |
52
- | No log | 1.5 | 6 | 0.6736 | 0.5214 | 0.6736 |
53
- | No log | 2.0 | 8 | 0.5063 | 0.5950 | 0.5063 |
54
- | No log | 2.5 | 10 | 0.4323 | 0.7287 | 0.4323 |
55
- | No log | 3.0 | 12 | 0.3923 | 0.6028 | 0.3923 |
56
- | No log | 3.5 | 14 | 0.3540 | 0.5655 | 0.3540 |
57
- | No log | 4.0 | 16 | 0.3227 | 0.6045 | 0.3227 |
58
- | No log | 4.5 | 18 | 0.3808 | 0.5971 | 0.3808 |
59
- | No log | 5.0 | 20 | 0.3736 | 0.5987 | 0.3736 |
60
- | No log | 5.5 | 22 | 0.3093 | 0.6940 | 0.3093 |
61
- | No log | 6.0 | 24 | 0.2786 | 0.6335 | 0.2786 |
62
- | No log | 6.5 | 26 | 0.2805 | 0.6631 | 0.2805 |
63
- | No log | 7.0 | 28 | 0.2913 | 0.6940 | 0.2913 |
64
- | No log | 7.5 | 30 | 0.3159 | 0.7030 | 0.3159 |
65
- | No log | 8.0 | 32 | 0.3198 | 0.76 | 0.3198 |
66
- | No log | 8.5 | 34 | 0.3167 | 0.76 | 0.3167 |
67
- | No log | 9.0 | 36 | 0.3027 | 0.7030 | 0.3027 |
68
- | No log | 9.5 | 38 | 0.2926 | 0.7030 | 0.2926 |
69
- | No log | 10.0 | 40 | 0.2898 | 0.7030 | 0.2898 |
 
 
 
 
 
 
 
 
 
 
70
 
71
 
72
  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_baseline_organization_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_organization_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: 0.4509
18
+ - Qwk: 0.6
19
+ - Mse: 0.4509
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 | 1.2538 | 0.1333 | 1.2538 |
51
+ | No log | 0.6667 | 4 | 0.6732 | 0.5116 | 0.6732 |
52
+ | No log | 1.0 | 6 | 1.0128 | 0.3810 | 1.0128 |
53
+ | No log | 1.3333 | 8 | 0.6424 | 0.5455 | 0.6424 |
54
+ | No log | 1.6667 | 10 | 0.6331 | 0.5455 | 0.6331 |
55
+ | No log | 2.0 | 12 | 0.6841 | 0.5455 | 0.6841 |
56
+ | No log | 2.3333 | 14 | 0.6488 | 0.5306 | 0.6488 |
57
+ | No log | 2.6667 | 16 | 0.7438 | 0.5185 | 0.7438 |
58
+ | No log | 3.0 | 18 | 1.0106 | 0.3636 | 1.0106 |
59
+ | No log | 3.3333 | 20 | 1.0009 | 0.3810 | 1.0009 |
60
+ | No log | 3.6667 | 22 | 0.6870 | 0.5098 | 0.6870 |
61
+ | No log | 4.0 | 24 | 0.5375 | 0.5106 | 0.5375 |
62
+ | No log | 4.3333 | 26 | 0.5197 | 0.55 | 0.5197 |
63
+ | No log | 4.6667 | 28 | 0.5082 | 0.5366 | 0.5082 |
64
+ | No log | 5.0 | 30 | 0.5130 | 0.5652 | 0.5130 |
65
+ | No log | 5.3333 | 32 | 0.5730 | 0.56 | 0.5730 |
66
+ | No log | 5.6667 | 34 | 0.5916 | 0.56 | 0.5916 |
67
+ | No log | 6.0 | 36 | 0.5065 | 0.5306 | 0.5065 |
68
+ | No log | 6.3333 | 38 | 0.4667 | 0.6 | 0.4667 |
69
+ | No log | 6.6667 | 40 | 0.4403 | 0.6 | 0.4403 |
70
+ | No log | 7.0 | 42 | 0.4374 | 0.6 | 0.4374 |
71
+ | No log | 7.3333 | 44 | 0.4427 | 0.6 | 0.4427 |
72
+ | No log | 7.6667 | 46 | 0.4590 | 0.6 | 0.4590 |
73
+ | No log | 8.0 | 48 | 0.4783 | 0.6275 | 0.4783 |
74
+ | No log | 8.3333 | 50 | 0.4751 | 0.6275 | 0.4751 |
75
+ | No log | 8.6667 | 52 | 0.4701 | 0.6275 | 0.4701 |
76
+ | No log | 9.0 | 54 | 0.4678 | 0.6275 | 0.4678 |
77
+ | No log | 9.3333 | 56 | 0.4574 | 0.6275 | 0.4574 |
78
+ | No log | 9.6667 | 58 | 0.4535 | 0.6 | 0.4535 |
79
+ | No log | 10.0 | 60 | 0.4509 | 0.6 | 0.4509 |
80
 
81
 
82
  ### Framework versions