Hugging Face's logo

salbatarni
/
arabert_baseline_relevance_task6_fold1

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
c785041
•
1 Parent(s): 0fff4b7

End of training

Browse files
Files changed (1) hide show
  1. README.md +25 -25
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_relevance_task6_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_relevance_task6_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: 0.4526
18
- - Qwk: 0.3226
19
- - Mse: 0.4526
20
 
21
  ## Model description
22
 
@@ -47,26 +47,26 @@ The following hyperparameters were used during training:
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
49
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
50
- | No log | 0.5 | 2 | 0.6801 | 0.0541 | 0.6801 |
51
- | No log | 1.0 | 4 | 0.6246 | 0.1127 | 0.6246 |
52
- | No log | 1.5 | 6 | 0.5719 | 0.2222 | 0.5719 |
53
- | No log | 2.0 | 8 | 0.4467 | 0.2222 | 0.4467 |
54
- | No log | 2.5 | 10 | 0.4958 | 0.3288 | 0.4958 |
55
- | No log | 3.0 | 12 | 0.4784 | 0.4324 | 0.4784 |
56
- | No log | 3.5 | 14 | 0.4142 | 0.5116 | 0.4142 |
57
- | No log | 4.0 | 16 | 0.4299 | 0.5977 | 0.4299 |
58
- | No log | 4.5 | 18 | 0.4577 | 0.58 | 0.4577 |
59
- | No log | 5.0 | 20 | 0.4773 | 0.5664 | 0.4773 |
60
- | No log | 5.5 | 22 | 0.4936 | 0.5664 | 0.4936 |
61
- | No log | 6.0 | 24 | 0.4974 | 0.5000 | 0.4974 |
62
- | No log | 6.5 | 26 | 0.5038 | 0.5088 | 0.5038 |
63
- | No log | 7.0 | 28 | 0.5060 | 0.3937 | 0.5060 |
64
- | No log | 7.5 | 30 | 0.4888 | 0.4444 | 0.4888 |
65
- | No log | 8.0 | 32 | 0.4685 | 0.4444 | 0.4685 |
66
- | No log | 8.5 | 34 | 0.4544 | 0.3226 | 0.4544 |
67
- | No log | 9.0 | 36 | 0.4497 | 0.3226 | 0.4497 |
68
- | No log | 9.5 | 38 | 0.4507 | 0.3226 | 0.4507 |
69
- | No log | 10.0 | 40 | 0.4526 | 0.3226 | 0.4526 |
70
 
71
 
72
  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_baseline_relevance_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_relevance_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: 0.2487
18
+ - Qwk: 0.4545
19
+ - Mse: 0.2487
20
 
21
  ## Model description
22
 
 
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
49
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
50
+ | No log | 0.5 | 2 | 0.2676 | 0.2727 | 0.2676 |
51
+ | No log | 1.0 | 4 | 0.3056 | 0.2727 | 0.3056 |
52
+ | No log | 1.5 | 6 | 0.2873 | 0.3636 | 0.2873 |
53
+ | No log | 2.0 | 8 | 0.3326 | 0.3636 | 0.3326 |
54
+ | No log | 2.5 | 10 | 0.2924 | 0.3636 | 0.2924 |
55
+ | No log | 3.0 | 12 | 0.2560 | 0.3636 | 0.2560 |
56
+ | No log | 3.5 | 14 | 0.2341 | 0.3636 | 0.2341 |
57
+ | No log | 4.0 | 16 | 0.2402 | 0.4545 | 0.2402 |
58
+ | No log | 4.5 | 18 | 0.2513 | 0.4545 | 0.2513 |
59
+ | No log | 5.0 | 20 | 0.2596 | 0.4545 | 0.2596 |
60
+ | No log | 5.5 | 22 | 0.2641 | 0.4545 | 0.2641 |
61
+ | No log | 6.0 | 24 | 0.2500 | 0.4545 | 0.2500 |
62
+ | No log | 6.5 | 26 | 0.2509 | 0.4545 | 0.2509 |
63
+ | No log | 7.0 | 28 | 0.2495 | 0.4545 | 0.2495 |
64
+ | No log | 7.5 | 30 | 0.2478 | 0.4545 | 0.2478 |
65
+ | No log | 8.0 | 32 | 0.2467 | 0.4545 | 0.2467 |
66
+ | No log | 8.5 | 34 | 0.2479 | 0.4545 | 0.2479 |
67
+ | No log | 9.0 | 36 | 0.2484 | 0.4545 | 0.2484 |
68
+ | No log | 9.5 | 38 | 0.2486 | 0.4545 | 0.2486 |
69
+ | No log | 10.0 | 40 | 0.2487 | 0.4545 | 0.2487 |
70
 
71
 
72
  ### Framework versions