Hugging Face's logo

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

Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
 Metrics Community
Inhasw commited on
Commit
8d9d8f4
·
verified ·
1 Parent(s): 5d1e699

Model save

Browse files
Files changed (2) hide show
  1. README.md +33 -33
  2. model.safetensors +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
- value: 0.8234421364985163
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
33
 
34
  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.
35
  It achieves the following results on the evaluation set:
36
- - Loss: 0.5926
37
- - Accuracy: 0.8234
38
 
39
  ## Model description
40
 
@@ -68,36 +68,36 @@ The following hyperparameters were used during training:
68
 
69
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
70
  |:-------------:|:-------:|:----:|:---------------:|:--------:|
71
- | 1.0323 | 1.0 | 48 | 1.0452 | 0.6499 |
72
- | 0.9702 | 2.0 | 96 | 1.0097 | 0.6602 |
73
- | 0.9901 | 3.0 | 144 | 0.8600 | 0.7092 |
74
- | 0.8685 | 4.0 | 192 | 0.8505 | 0.7329 |
75
- | 0.7901 | 5.0 | 240 | 0.7443 | 0.7671 |
76
- | 0.7071 | 6.0 | 288 | 0.7143 | 0.7804 |
77
- | 0.6321 | 7.0 | 336 | 0.6964 | 0.7656 |
78
- | 0.6765 | 8.0 | 384 | 0.6593 | 0.7804 |
79
- | 0.5702 | 9.0 | 432 | 0.6549 | 0.7953 |
80
- | 0.5176 | 10.0 | 480 | 0.6411 | 0.7849 |
81
- | 0.5226 | 11.0 | 528 | 0.6147 | 0.8086 |
82
- | 0.4684 | 12.0 | 576 | 0.6203 | 0.7967 |
83
- | 0.4281 | 13.0 | 624 | 0.6541 | 0.7953 |
84
- | 0.429 | 14.0 | 672 | 0.6109 | 0.8160 |
85
- | 0.3805 | 15.0 | 720 | 0.6072 | 0.8160 |
86
- | 0.3882 | 16.0 | 768 | 0.5876 | 0.8086 |
87
- | 0.3727 | 17.0 | 816 | 0.6002 | 0.8234 |
88
- | 0.3549 | 18.0 | 864 | 0.6264 | 0.8145 |
89
- | 0.3522 | 19.0 | 912 | 0.6049 | 0.8160 |
90
- | 0.3031 | 20.0 | 960 | 0.5954 | 0.8220 |
91
- | 0.3453 | 21.0 | 1008 | 0.6087 | 0.8279 |
92
- | 0.3181 | 22.0 | 1056 | 0.6237 | 0.8131 |
93
- | 0.3521 | 23.0 | 1104 | 0.6038 | 0.8205 |
94
- | 0.3014 | 24.0 | 1152 | 0.5963 | 0.8220 |
95
- | 0.2599 | 25.0 | 1200 | 0.5658 | 0.8353 |
96
- | 0.2752 | 26.0 | 1248 | 0.5972 | 0.8160 |
97
- | 0.2843 | 27.0 | 1296 | 0.5977 | 0.8279 |
98
- | 0.2376 | 28.0 | 1344 | 0.5923 | 0.8175 |
99
- | 0.2598 | 29.0 | 1392 | 0.5948 | 0.8220 |
100
- | 0.2771 | 29.3789 | 1410 | 0.5926 | 0.8234 |
101
 
102
 
103
  ### Framework versions
 
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
+ value: 0.827893175074184
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
33
 
34
  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.
35
  It achieves the following results on the evaluation set:
36
+ - Loss: 0.6247
37
+ - Accuracy: 0.8279
38
 
39
  ## Model description
40
 
 
68
 
69
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
70
  |:-------------:|:-------:|:----:|:---------------:|:--------:|
71
+ | 1.6684 | 1.0 | 43 | 1.5274 | 0.5386 |
72
+ | 1.422 | 2.0 | 86 | 1.2167 | 0.5964 |
73
+ | 1.2303 | 3.0 | 129 | 0.9840 | 0.6617 |
74
+ | 1.0419 | 4.0 | 172 | 0.8583 | 0.7255 |
75
+ | 0.886 | 5.0 | 215 | 0.7485 | 0.7389 |
76
+ | 0.8443 | 6.0 | 258 | 0.7898 | 0.7463 |
77
+ | 0.7685 | 7.0 | 301 | 0.6678 | 0.7745 |
78
+ | 0.6999 | 8.0 | 344 | 0.7002 | 0.7730 |
79
+ | 0.6128 | 9.0 | 387 | 0.6634 | 0.7982 |
80
+ | 0.5588 | 10.0 | 430 | 0.6644 | 0.7789 |
81
+ | 0.5829 | 11.0 | 473 | 0.6318 | 0.8116 |
82
+ | 0.5234 | 12.0 | 516 | 0.6662 | 0.7864 |
83
+ | 0.4712 | 13.0 | 559 | 0.6781 | 0.8042 |
84
+ | 0.4042 | 14.0 | 602 | 0.6542 | 0.8131 |
85
+ | 0.3966 | 15.0 | 645 | 0.6432 | 0.8086 |
86
+ | 0.41 | 16.0 | 688 | 0.6346 | 0.8145 |
87
+ | 0.3848 | 17.0 | 731 | 0.6295 | 0.8323 |
88
+ | 0.3612 | 18.0 | 774 | 0.6841 | 0.8042 |
89
+ | 0.3258 | 19.0 | 817 | 0.6613 | 0.8145 |
90
+ | 0.3163 | 20.0 | 860 | 0.6340 | 0.8279 |
91
+ | 0.3469 | 21.0 | 903 | 0.6621 | 0.8205 |
92
+ | 0.3523 | 22.0 | 946 | 0.6655 | 0.8131 |
93
+ | 0.3533 | 23.0 | 989 | 0.6541 | 0.8131 |
94
+ | 0.3312 | 24.0 | 1032 | 0.6445 | 0.8116 |
95
+ | 0.3095 | 25.0 | 1075 | 0.6519 | 0.8205 |
96
+ | 0.2425 | 26.0 | 1118 | 0.6363 | 0.8145 |
97
+ | 0.2956 | 27.0 | 1161 | 0.6318 | 0.8294 |
98
+ | 0.2629 | 28.0 | 1204 | 0.6217 | 0.8249 |
99
+ | 0.2755 | 29.0 | 1247 | 0.6243 | 0.8279 |
100
+ | 0.29 | 29.3077 | 1260 | 0.6247 | 0.8279 |
101
 
102
 
103
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b49f4b98e2a8d14ca501469f24376603d6f7538370f7bb7232094bf6f0f09f3a
3
  size 110398208
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b37926cfdd3295c0c65ff044e9eb4f4cdaa1fc6bee3113878907310c7543b39a
3
  size 110398208