bombshelll commited on
Commit
ae4682b
·
verified ·
1 Parent(s): c67f487

Model save

Browse files
Files changed (1) hide show
  1. README.md +7 -8
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.1383
22
- - Accuracy: 0.9561
23
 
24
  ## Model description
25
 
@@ -47,17 +47,16 @@ The following hyperparameters were used during training:
47
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
  - lr_scheduler_type: linear
49
  - lr_scheduler_warmup_ratio: 0.1
50
- - num_epochs: 5
51
 
52
  ### Training results
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
55
  |:-------------:|:------:|:----:|:---------------:|:--------:|
56
- | 0.3239 | 0.9778 | 33 | 0.2498 | 0.8996 |
57
- | 0.209 | 1.9852 | 67 | 0.2185 | 0.9100 |
58
- | 0.161 | 2.9926 | 101 | 0.1627 | 0.9414 |
59
- | 0.1275 | 4.0 | 135 | 0.1679 | 0.9372 |
60
- | 0.1157 | 4.8889 | 165 | 0.1383 | 0.9561 |
61
 
62
 
63
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.0423
22
+ - Accuracy: 0.9854
23
 
24
  ## Model description
25
 
 
47
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
  - lr_scheduler_type: linear
49
  - lr_scheduler_warmup_ratio: 0.1
50
+ - num_epochs: 20
51
 
52
  ### Training results
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
55
  |:-------------:|:------:|:----:|:---------------:|:--------:|
56
+ | 0.4614 | 0.9778 | 33 | 0.3315 | 0.8619 |
57
+ | 0.231 | 1.9852 | 67 | 0.2779 | 0.8808 |
58
+ | 0.1631 | 2.9926 | 101 | 0.2769 | 0.8808 |
59
+ | 0.1141 | 4.0 | 135 | 0.0423 | 0.9854 |
 
60
 
61
 
62
  ### Framework versions