mirfan899 commited on
Commit
bb64fe1
1 Parent(s): 68d5537

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +8 -13
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model was trained from scratch on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.2350
19
- - Accuracy: 0.9308
20
 
21
  ## Model description
22
 
@@ -41,22 +41,17 @@ 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: 10
45
 
46
  ### Training results
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
49
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
50
- | No log | 1.0 | 67 | 0.1916 | 0.9271 |
51
- | 0.2043 | 2.0 | 134 | 0.1966 | 0.9290 |
52
- | 0.2043 | 3.0 | 201 | 0.2103 | 0.9252 |
53
- | 0.1106 | 4.0 | 268 | 0.2124 | 0.9308 |
54
- | 0.1106 | 5.0 | 335 | 0.2114 | 0.9290 |
55
- | 0.0694 | 6.0 | 402 | 0.2184 | 0.9271 |
56
- | 0.0694 | 7.0 | 469 | 0.2300 | 0.9327 |
57
- | 0.0391 | 8.0 | 536 | 0.2332 | 0.9252 |
58
- | 0.0391 | 9.0 | 603 | 0.2351 | 0.9308 |
59
- | 0.0392 | 10.0 | 670 | 0.2350 | 0.9308 |
60
 
61
 
62
  ### Framework versions
 
15
 
16
  This model was trained from scratch on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.5520
19
+ - Accuracy: 0.8991
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: 5
45
 
46
  ### Training results
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
49
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
50
+ | No log | 1.0 | 67 | 0.5258 | 0.8935 |
51
+ | 0.0073 | 2.0 | 134 | 0.5262 | 0.8972 |
52
+ | 0.0073 | 3.0 | 201 | 0.5408 | 0.8972 |
53
+ | 0.0053 | 4.0 | 268 | 0.5494 | 0.8991 |
54
+ | 0.0053 | 5.0 | 335 | 0.5520 | 0.8991 |
 
 
 
 
 
55
 
56
 
57
  ### Framework versions