Hugging Face's logo

salbatarni
/
arabert_baseline_development_task5_fold1

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
12e070f
•
1 Parent(s): d065e19

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_development_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_development_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: 1.0419
18
- - Qwk: 0.5183
19
- - Mse: 1.0419
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 | 1.6380 | 0.0929 | 1.6380 |
51
- | No log | 0.6667 | 4 | 1.5106 | 0.0 | 1.5106 |
52
- | No log | 1.0 | 6 | 1.3471 | 0.0 | 1.3471 |
53
- | No log | 1.3333 | 8 | 1.2335 | 0.0 | 1.2335 |
54
- | No log | 1.6667 | 10 | 1.2261 | 0.1576 | 1.2261 |
55
- | No log | 2.0 | 12 | 1.2476 | 0.2560 | 1.2476 |
56
- | No log | 2.3333 | 14 | 1.2739 | 0.2628 | 1.2739 |
57
- | No log | 2.6667 | 16 | 1.2494 | 0.2628 | 1.2494 |
58
- | No log | 3.0 | 18 | 1.1857 | 0.4062 | 1.1857 |
59
- | No log | 3.3333 | 20 | 1.1005 | 0.3598 | 1.1005 |
60
- | No log | 3.6667 | 22 | 1.1228 | 0.3976 | 1.1228 |
61
- | No log | 4.0 | 24 | 1.0985 | 0.3976 | 1.0985 |
62
- | No log | 4.3333 | 26 | 1.0341 | 0.375 | 1.0341 |
63
- | No log | 4.6667 | 28 | 0.9989 | 0.5789 | 0.9989 |
64
- | No log | 5.0 | 30 | 0.9963 | 0.5789 | 0.9963 |
65
- | No log | 5.3333 | 32 | 0.9852 | 0.5361 | 0.9852 |
66
- | No log | 5.6667 | 34 | 0.9961 | 0.5991 | 0.9961 |
67
- | No log | 6.0 | 36 | 1.0348 | 0.4725 | 1.0348 |
68
- | No log | 6.3333 | 38 | 1.0147 | 0.5238 | 1.0147 |
69
- | No log | 6.6667 | 40 | 1.0123 | 0.5238 | 1.0123 |
70
- | No log | 7.0 | 42 | 0.9900 | 0.5833 | 0.9900 |
71
- | No log | 7.3333 | 44 | 0.9764 | 0.4872 | 0.9764 |
72
- | No log | 7.6667 | 46 | 0.9850 | 0.4872 | 0.9850 |
73
- | No log | 8.0 | 48 | 0.9775 | 0.5327 | 0.9775 |
74
- | No log | 8.3333 | 50 | 0.9860 | 0.5047 | 0.9860 |
75
- | No log | 8.6667 | 52 | 0.9983 | 0.5183 | 0.9983 |
76
- | No log | 9.0 | 54 | 1.0128 | 0.5183 | 1.0128 |
77
- | No log | 9.3333 | 56 | 1.0321 | 0.5183 | 1.0321 |
78
- | No log | 9.6667 | 58 | 1.0407 | 0.5183 | 1.0407 |
79
- | No log | 10.0 | 60 | 1.0419 | 0.5183 | 1.0419 |
80
 
81
 
82
  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_baseline_development_task5_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_development_task5_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: 0.5703
18
+ - Qwk: 0.7312
19
+ - Mse: 0.5703
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 | 2.7370 | -0.0412 | 2.7370 |
51
+ | No log | 0.6667 | 4 | 1.1106 | 0.0254 | 1.1106 |
52
+ | No log | 1.0 | 6 | 0.8018 | 0.3448 | 0.8018 |
53
+ | No log | 1.3333 | 8 | 0.7112 | 0.4203 | 0.7112 |
54
+ | No log | 1.6667 | 10 | 0.7153 | 0.2778 | 0.7153 |
55
+ | No log | 2.0 | 12 | 0.6181 | 0.3333 | 0.6181 |
56
+ | No log | 2.3333 | 14 | 0.5263 | 0.4379 | 0.5263 |
57
+ | No log | 2.6667 | 16 | 0.5056 | 0.4444 | 0.5056 |
58
+ | No log | 3.0 | 18 | 0.4721 | 0.4318 | 0.4721 |
59
+ | No log | 3.3333 | 20 | 0.4560 | 0.5251 | 0.4560 |
60
+ | No log | 3.6667 | 22 | 0.4550 | 0.5506 | 0.4550 |
61
+ | No log | 4.0 | 24 | 0.5190 | 0.7399 | 0.5190 |
62
+ | No log | 4.3333 | 26 | 0.5822 | 0.7568 | 0.5822 |
63
+ | No log | 4.6667 | 28 | 0.5363 | 0.6328 | 0.5363 |
64
+ | No log | 5.0 | 30 | 0.5203 | 0.4382 | 0.5203 |
65
+ | No log | 5.3333 | 32 | 0.5859 | 0.4388 | 0.5859 |
66
+ | No log | 5.6667 | 34 | 0.5248 | 0.3956 | 0.5248 |
67
+ | No log | 6.0 | 36 | 0.5042 | 0.5977 | 0.5042 |
68
+ | No log | 6.3333 | 38 | 0.5446 | 0.6667 | 0.5446 |
69
+ | No log | 6.6667 | 40 | 0.5984 | 0.7312 | 0.5984 |
70
+ | No log | 7.0 | 42 | 0.6002 | 0.7312 | 0.6002 |
71
+ | No log | 7.3333 | 44 | 0.5662 | 0.7312 | 0.5662 |
72
+ | No log | 7.6667 | 46 | 0.5376 | 0.6667 | 0.5376 |
73
+ | No log | 8.0 | 48 | 0.5417 | 0.6667 | 0.5417 |
74
+ | No log | 8.3333 | 50 | 0.5612 | 0.7312 | 0.5612 |
75
+ | No log | 8.6667 | 52 | 0.5739 | 0.7312 | 0.5739 |
76
+ | No log | 9.0 | 54 | 0.5740 | 0.7312 | 0.5740 |
77
+ | No log | 9.3333 | 56 | 0.5707 | 0.7312 | 0.5707 |
78
+ | No log | 9.6667 | 58 | 0.5714 | 0.7312 | 0.5714 |
79
+ | No log | 10.0 | 60 | 0.5703 | 0.7312 | 0.5703 |
80
 
81
 
82
  ### Framework versions