Hugging Face's logo

asad-cse
/
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
asad-cse commited on
Commit
1596e37
•
1 Parent(s): 497a3e7

Model save

Browse files
Files changed (2) hide show
  1. README.md +23 -23
  2. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.8405797101449275
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: 0.4139
36
- - Accuracy: 0.8406
37
 
38
  ## Model description
39
 
@@ -67,26 +67,26 @@ The following hyperparameters were used during training:
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
- | 1.6298 | 1.0 | 13 | 1.5926 | 0.5507 |
71
- | 1.2555 | 2.0 | 26 | 1.2654 | 0.5604 |
72
- | 1.0514 | 3.0 | 39 | 1.3908 | 0.5749 |
73
- | 0.7324 | 4.0 | 52 | 1.0284 | 0.6329 |
74
- | 0.681 | 5.0 | 65 | 0.8778 | 0.6957 |
75
- | 0.6296 | 6.0 | 78 | 0.6265 | 0.7729 |
76
- | 0.5198 | 7.0 | 91 | 0.7031 | 0.7246 |
77
- | 0.4766 | 8.0 | 104 | 0.5667 | 0.7874 |
78
- | 0.4761 | 9.0 | 117 | 0.5047 | 0.8164 |
79
- | 0.4334 | 10.0 | 130 | 0.4253 | 0.8454 |
80
- | 0.4434 | 11.0 | 143 | 0.4573 | 0.8068 |
81
- | 0.4032 | 12.0 | 156 | 0.4581 | 0.8261 |
82
- | 0.414 | 13.0 | 169 | 0.4505 | 0.8406 |
83
- | 0.3817 | 14.0 | 182 | 0.4002 | 0.8599 |
84
- | 0.3708 | 15.0 | 195 | 0.3521 | 0.8647 |
85
- | 0.4045 | 16.0 | 208 | 0.3690 | 0.8647 |
86
- | 0.3772 | 17.0 | 221 | 0.3806 | 0.8551 |
87
- | 0.362 | 18.0 | 234 | 0.3871 | 0.8454 |
88
- | 0.3579 | 19.0 | 247 | 0.4243 | 0.8406 |
89
- | 0.3495 | 20.0 | 260 | 0.4139 | 0.8406 |
90
 
91
 
92
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.8647342995169082
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: 0.4072
36
+ - Accuracy: 0.8647
37
 
38
  ## Model description
39
 
 
67
 
68
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
69
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
70
+ | 1.7993 | 1.0 | 13 | 1.3217 | 0.5942 |
71
+ | 1.23 | 2.0 | 26 | 0.9922 | 0.6570 |
72
+ | 1.0516 | 3.0 | 39 | 1.0678 | 0.6232 |
73
+ | 0.7172 | 4.0 | 52 | 0.8941 | 0.6618 |
74
+ | 0.7044 | 5.0 | 65 | 0.6554 | 0.7826 |
75
+ | 0.5443 | 6.0 | 78 | 0.6408 | 0.7536 |
76
+ | 0.516 | 7.0 | 91 | 0.5527 | 0.8261 |
77
+ | 0.4639 | 8.0 | 104 | 0.5046 | 0.8357 |
78
+ | 0.5129 | 9.0 | 117 | 0.5692 | 0.8019 |
79
+ | 0.4723 | 10.0 | 130 | 0.5761 | 0.7874 |
80
+ | 0.3949 | 11.0 | 143 | 0.5836 | 0.7729 |
81
+ | 0.3694 | 12.0 | 156 | 0.5314 | 0.8116 |
82
+ | 0.4252 | 13.0 | 169 | 0.4539 | 0.8502 |
83
+ | 0.3532 | 14.0 | 182 | 0.4721 | 0.8309 |
84
+ | 0.3556 | 15.0 | 195 | 0.4270 | 0.8551 |
85
+ | 0.3565 | 16.0 | 208 | 0.4555 | 0.8599 |
86
+ | 0.3369 | 17.0 | 221 | 0.4134 | 0.8502 |
87
+ | 0.347 | 18.0 | 234 | 0.4233 | 0.8647 |
88
+ | 0.3386 | 19.0 | 247 | 0.4155 | 0.8599 |
89
+ | 0.3312 | 20.0 | 260 | 0.4072 | 0.8647 |
90
 
91
 
92
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9a9311a64d84813fba1f82a558bad2ef7c23873c25d249acfbc8e3c0c951b760
3
  size 110358212
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6130f5365f937efe8b53c2c41e23449b506cccb53b5d4aab3b92fd4edf956313
3
  size 110358212