Hugging Face's logo

salbatarni
/
arabert_baseline_relevance_task1_fold0

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
ec736ee
·
verified ·
1 Parent(s): 0b3666f

End of training

Browse files
Files changed (1) hide show
  1. README.md +36 -21
README.md CHANGED
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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: 0.2514
18
- - Qwk: 0.0808
19
- - Mse: 0.2559
20
 
21
  ## Model description
22
 
@@ -41,27 +41,42 @@ The following hyperparameters were used during training:
41
  - seed: 42
42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
  - lr_scheduler_type: linear
44
- - num_epochs: 5
45
 
46
  ### Training results
47
 
48
- | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
49
- |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
50
- | No log | 0.3333 | 2 | 1.1076 | -0.0049 | 1.0949 |
51
- | No log | 0.6667 | 4 | 0.2779 | 0.0 | 0.2800 |
52
- | No log | 1.0 | 6 | 0.2271 | 0.3467 | 0.2294 |
53
- | No log | 1.3333 | 8 | 0.2361 | 0.1667 | 0.2359 |
54
- | No log | 1.6667 | 10 | 0.1985 | 0.1250 | 0.2028 |
55
- | No log | 2.0 | 12 | 0.2232 | 0.0 | 0.2304 |
56
- | No log | 2.3333 | 14 | 0.2167 | 0.0 | 0.2237 |
57
- | No log | 2.6667 | 16 | 0.2206 | 0.0 | 0.2259 |
58
- | No log | 3.0 | 18 | 0.2075 | 0.0 | 0.2127 |
59
- | No log | 3.3333 | 20 | 0.2078 | 0.0 | 0.2132 |
60
- | No log | 3.6667 | 22 | 0.2183 | 0.0 | 0.2235 |
61
- | No log | 4.0 | 24 | 0.2326 | 0.0 | 0.2375 |
62
- | No log | 4.3333 | 26 | 0.2498 | 0.0392 | 0.2543 |
63
- | No log | 4.6667 | 28 | 0.2547 | 0.0392 | 0.2590 |
64
- | No log | 5.0 | 30 | 0.2514 | 0.0808 | 0.2559 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
65
 
66
 
67
  ### Framework versions
 
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: 0.1576
18
+ - Qwk: 0.2222
19
+ - Mse: 0.1601
20
 
21
  ## Model description
22
 
 
41
  - seed: 42
42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
  - lr_scheduler_type: linear
44
+ - num_epochs: 10
45
 
46
  ### Training results
47
 
48
+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
49
+ |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
50
+ | No log | 0.3333 | 2 | 0.9197 | 0.0278 | 0.9116 |
51
+ | No log | 0.6667 | 4 | 0.1428 | 0.2105 | 0.1467 |
52
+ | No log | 1.0 | 6 | 0.1823 | 0.3467 | 0.1888 |
53
+ | No log | 1.3333 | 8 | 0.1817 | 0.0808 | 0.1888 |
54
+ | No log | 1.6667 | 10 | 0.2156 | 0.0 | 0.2206 |
55
+ | No log | 2.0 | 12 | 0.1825 | 0.0 | 0.1849 |
56
+ | No log | 2.3333 | 14 | 0.1725 | 0.0392 | 0.1727 |
57
+ | No log | 2.6667 | 16 | 0.2068 | 0.0392 | 0.2060 |
58
+ | No log | 3.0 | 18 | 0.1522 | 0.0808 | 0.1531 |
59
+ | No log | 3.3333 | 20 | 0.1588 | 0.1250 | 0.1623 |
60
+ | No log | 3.6667 | 22 | 0.1635 | 0.1250 | 0.1682 |
61
+ | No log | 4.0 | 24 | 0.1609 | 0.0808 | 0.1658 |
62
+ | No log | 4.3333 | 26 | 0.1526 | 0.0808 | 0.1565 |
63
+ | No log | 4.6667 | 28 | 0.1503 | 0.0392 | 0.1529 |
64
+ | No log | 5.0 | 30 | 0.1548 | 0.0392 | 0.1558 |
65
+ | No log | 5.3333 | 32 | 0.1602 | 0.0808 | 0.1608 |
66
+ | No log | 5.6667 | 34 | 0.1480 | 0.1720 | 0.1493 |
67
+ | No log | 6.0 | 36 | 0.1509 | 0.2759 | 0.1526 |
68
+ | No log | 6.3333 | 38 | 0.1504 | 0.3333 | 0.1525 |
69
+ | No log | 6.6667 | 40 | 0.1502 | 0.3333 | 0.1526 |
70
+ | No log | 7.0 | 42 | 0.1518 | 0.1720 | 0.1539 |
71
+ | No log | 7.3333 | 44 | 0.1602 | 0.1250 | 0.1617 |
72
+ | No log | 7.6667 | 46 | 0.1798 | 0.1250 | 0.1806 |
73
+ | No log | 8.0 | 48 | 0.1921 | 0.2364 | 0.1927 |
74
+ | No log | 8.3333 | 50 | 0.1893 | 0.2364 | 0.1900 |
75
+ | No log | 8.6667 | 52 | 0.1769 | 0.2222 | 0.1778 |
76
+ | No log | 9.0 | 54 | 0.1663 | 0.2759 | 0.1678 |
77
+ | No log | 9.3333 | 56 | 0.1609 | 0.2759 | 0.1629 |
78
+ | No log | 9.6667 | 58 | 0.1584 | 0.2222 | 0.1608 |
79
+ | No log | 10.0 | 60 | 0.1576 | 0.2222 | 0.1601 |
80
 
81
 
82
  ### Framework versions