Hugging Face's logo

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

Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
Floriankidev commited on
Commit
f1a2c70
•
1 Parent(s): 53f0304

Model save

Browse files
Files changed (2) hide show
  1. README.md +21 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.7499688084840923
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: 0.8481
36
- - Accuracy: 0.7500
37
 
38
  ## Model description
39
 
@@ -61,17 +61,27 @@ The following hyperparameters were used during training:
61
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
  - lr_scheduler_type: linear
63
  - lr_scheduler_warmup_ratio: 0.1
64
- - num_epochs: 5
65
 
66
  ### Training results
67
 
68
- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
- |:-------------:|:------:|:----:|:---------------:|:--------:|
70
- | 1.4736 | 0.9966 | 218 | 1.2365 | 0.6177 |
71
- | 1.2161 | 1.9977 | 437 | 1.0158 | 0.6916 |
72
- | 1.0807 | 2.9989 | 656 | 0.9073 | 0.7274 |
73
- | 0.9977 | 4.0 | 875 | 0.8551 | 0.7456 |
74
- | 0.9737 | 4.9829 | 1090 | 0.8481 | 0.7500 |
 
 
 
 
 
 
 
 
 
 
75
 
76
 
77
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.796756082345602
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: 0.6781
36
+ - Accuracy: 0.7968
37
 
38
  ## Model description
39
 
 
61
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
62
  - lr_scheduler_type: linear
63
  - lr_scheduler_warmup_ratio: 0.1
64
+ - num_epochs: 15
65
 
66
  ### Training results
67
 
68
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
+ |:-------------:|:-------:|:----:|:---------------:|:--------:|
70
+ | 1.5891 | 0.9966 | 218 | 1.3833 | 0.5723 |
71
+ | 1.2997 | 1.9977 | 437 | 1.0831 | 0.6700 |
72
+ | 1.1166 | 2.9989 | 656 | 0.9937 | 0.6958 |
73
+ | 1.0464 | 4.0 | 875 | 0.9180 | 0.7231 |
74
+ | 0.982 | 4.9966 | 1093 | 0.8399 | 0.7432 |
75
+ | 0.9472 | 5.9977 | 1312 | 0.8127 | 0.7536 |
76
+ | 0.8751 | 6.9989 | 1531 | 0.7852 | 0.7639 |
77
+ | 0.9107 | 8.0 | 1750 | 0.7644 | 0.7713 |
78
+ | 0.8464 | 8.9966 | 1968 | 0.7322 | 0.7830 |
79
+ | 0.8398 | 9.9977 | 2187 | 0.7243 | 0.7798 |
80
+ | 0.7534 | 10.9989 | 2406 | 0.7088 | 0.7845 |
81
+ | 0.7051 | 12.0 | 2625 | 0.6982 | 0.7935 |
82
+ | 0.7359 | 12.9966 | 2843 | 0.6985 | 0.7916 |
83
+ | 0.7641 | 13.9977 | 3062 | 0.6838 | 0.7968 |
84
+ | 0.7372 | 14.9486 | 3270 | 0.6781 | 0.7968 |
85
 
86
 
87
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d3fc67b08e0c8b56b4fc8f9c5df359bbcf1952f64c9bd18ea7e9323350f0cbd0
3
  size 110385904
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:206715095ac401fd9ce427b7f99b645ad475025a33642f855ed5e40433c9b7af
3
  size 110385904