Hugging Face's logo

salbatarni
/
arabert_baseline_mechanics_task5_fold0

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
3ebc0de
·
verified ·
1 Parent(s): 620b4a7

End of training

Browse files
Files changed (1) hide show
  1. README.md +37 -17
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_mechanics_task4_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_mechanics_task4_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: 0.4306
18
- - Qwk: 0.1429
19
- - Mse: 0.4306
20
 
21
  ## Model description
22
 
@@ -45,18 +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 | 1.0 | 2 | 4.1119 | 0.0 | 4.1119 |
51
- | No log | 2.0 | 4 | 2.8498 | 0.0 | 2.8498 |
52
- | No log | 3.0 | 6 | 2.1097 | -0.0270 | 2.1097 |
53
- | No log | 4.0 | 8 | 1.5588 | 0.0 | 1.5588 |
54
- | No log | 5.0 | 10 | 0.8885 | 0.0 | 0.8885 |
55
- | No log | 6.0 | 12 | 0.6177 | 0.0 | 0.6177 |
56
- | No log | 7.0 | 14 | 0.5062 | -0.4286 | 0.5062 |
57
- | No log | 8.0 | 16 | 0.4578 | 0.0 | 0.4578 |
58
- | No log | 9.0 | 18 | 0.4347 | 0.0909 | 0.4347 |
59
- | No log | 10.0 | 20 | 0.4306 | 0.1429 | 0.4306 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
60
 
61
 
62
  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_baseline_mechanics_task5_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_mechanics_task5_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: 0.6428
18
+ - Qwk: 0.8185
19
+ - Mse: 0.6428
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 | 1.2787 | 0.2092 | 1.2787 |
51
+ | No log | 0.6667 | 4 | 1.1600 | 0.0 | 1.1600 |
52
+ | No log | 1.0 | 6 | 1.0539 | 0.0 | 1.0539 |
53
+ | No log | 1.3333 | 8 | 0.9571 | 0.0 | 0.9571 |
54
+ | No log | 1.6667 | 10 | 0.9644 | 0.1447 | 0.9644 |
55
+ | No log | 2.0 | 12 | 0.9860 | 0.2857 | 0.9860 |
56
+ | No log | 2.3333 | 14 | 0.9563 | 0.3254 | 0.9563 |
57
+ | No log | 2.6667 | 16 | 0.8909 | 0.4531 | 0.8909 |
58
+ | No log | 3.0 | 18 | 0.8374 | 0.4531 | 0.8374 |
59
+ | No log | 3.3333 | 20 | 0.7882 | 0.5 | 0.7882 |
60
+ | No log | 3.6667 | 22 | 0.7735 | 0.5 | 0.7735 |
61
+ | No log | 4.0 | 24 | 0.7048 | 0.4932 | 0.7048 |
62
+ | No log | 4.3333 | 26 | 0.6450 | 0.4408 | 0.6450 |
63
+ | No log | 4.6667 | 28 | 0.5868 | 0.6307 | 0.5868 |
64
+ | No log | 5.0 | 30 | 0.5327 | 0.5588 | 0.5327 |
65
+ | No log | 5.3333 | 32 | 0.5046 | 0.6154 | 0.5046 |
66
+ | No log | 5.6667 | 34 | 0.4945 | 0.6154 | 0.4945 |
67
+ | No log | 6.0 | 36 | 0.5109 | 0.6277 | 0.5109 |
68
+ | No log | 6.3333 | 38 | 0.5298 | 0.6934 | 0.5298 |
69
+ | No log | 6.6667 | 40 | 0.5625 | 0.6875 | 0.5625 |
70
+ | No log | 7.0 | 42 | 0.5920 | 0.6759 | 0.5920 |
71
+ | No log | 7.3333 | 44 | 0.6178 | 0.7098 | 0.6178 |
72
+ | No log | 7.6667 | 46 | 0.6508 | 0.7845 | 0.6508 |
73
+ | No log | 8.0 | 48 | 0.6616 | 0.7845 | 0.6616 |
74
+ | No log | 8.3333 | 50 | 0.6750 | 0.7845 | 0.6750 |
75
+ | No log | 8.6667 | 52 | 0.6591 | 0.7881 | 0.6591 |
76
+ | No log | 9.0 | 54 | 0.6523 | 0.8185 | 0.6523 |
77
+ | No log | 9.3333 | 56 | 0.6489 | 0.8185 | 0.6489 |
78
+ | No log | 9.6667 | 58 | 0.6443 | 0.8185 | 0.6443 |
79
+ | No log | 10.0 | 60 | 0.6428 | 0.8185 | 0.6428 |
80
 
81
 
82
  ### Framework versions