Hugging Face's logo

impcabbie
/
swin-tiny-patch4-window7-224-finetuned-eurosat

Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
impcabbie commited on
Commit
f84041f
•
1 Parent(s): 1066330

Model save

Browse files
Files changed (1) hide show
  1. README.md +13 -13
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.7713178294573644
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.5588
36
- - Accuracy: 0.7713
37
 
38
  ## Model description
39
 
@@ -67,16 +67,16 @@ The following hyperparameters were used during training:
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
- | 1.047 | 0.99 | 18 | 0.8238 | 0.6667 |
71
- | 0.7685 | 1.97 | 36 | 0.7295 | 0.6705 |
72
- | 0.7036 | 2.96 | 54 | 0.6794 | 0.6977 |
73
- | 0.6215 | 4.0 | 73 | 0.6780 | 0.7093 |
74
- | 0.5409 | 4.99 | 91 | 0.5864 | 0.7519 |
75
- | 0.5165 | 5.97 | 109 | 0.5343 | 0.7713 |
76
- | 0.4803 | 6.96 | 127 | 0.6034 | 0.7326 |
77
- | 0.4328 | 8.0 | 146 | 0.6063 | 0.7326 |
78
- | 0.4125 | 8.99 | 164 | 0.5815 | 0.7558 |
79
- | 0.4237 | 9.86 | 180 | 0.5588 | 0.7713 |
80
 
81
 
82
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.7674418604651163
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
33
  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.6503
36
+ - Accuracy: 0.7674
37
 
38
  ## Model description
39
 
 
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
+ | 1.0764 | 0.99 | 18 | 0.8915 | 0.6318 |
71
+ | 0.7888 | 1.97 | 36 | 0.7533 | 0.6860 |
72
+ | 0.707 | 2.96 | 54 | 0.7525 | 0.6977 |
73
+ | 0.6115 | 4.0 | 73 | 0.6723 | 0.7403 |
74
+ | 0.5552 | 4.99 | 91 | 0.7092 | 0.7093 |
75
+ | 0.5057 | 5.97 | 109 | 0.6733 | 0.7326 |
76
+ | 0.4761 | 6.96 | 127 | 0.6893 | 0.7326 |
77
+ | 0.4393 | 8.0 | 146 | 0.6933 | 0.7287 |
78
+ | 0.4284 | 8.99 | 164 | 0.6348 | 0.7519 |
79
+ | 0.4084 | 9.86 | 180 | 0.6503 | 0.7674 |
80
 
81
 
82
  ### Framework versions