Hugging Face's logo

Lalith47
/
custom-cloud-model

Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
Metrics Community
Lalith47 commited on
Commit
100728d
·
verified ·
1 Parent(s): 3a5b482

End of training

Browse files
Files changed (2) hide show
  1. README.md +53 -53
  2. model.safetensors +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
- value: 0.9320987462997437
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 [Lalith47/custom-cloud-model](https://huggingface.co/Lalith47/custom-cloud-model) on the imagefolder dataset.
35
  It achieves the following results on the evaluation set:
36
- - Loss: 0.3020
37
- - Accuracy: 0.9321
38
 
39
  ## Model description
40
 
@@ -69,56 +69,56 @@ The following hyperparameters were used during training:
69
 
70
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
71
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
72
- | No log | 1.0 | 8 | 0.3390 | 0.9198 |
73
- | 0.0216 | 2.0 | 16 | 0.2984 | 0.9218 |
74
- | 0.013 | 3.0 | 24 | 0.3312 | 0.9115 |
75
- | 0.0064 | 4.0 | 32 | 0.2721 | 0.9218 |
76
- | 0.0078 | 5.0 | 40 | 0.4045 | 0.9053 |
77
- | 0.0078 | 6.0 | 48 | 0.3621 | 0.9074 |
78
- | 0.008 | 7.0 | 56 | 0.4359 | 0.8971 |
79
- | 0.0159 | 8.0 | 64 | 0.2895 | 0.9136 |
80
- | 0.0146 | 9.0 | 72 | 0.3281 | 0.9239 |
81
- | 0.0085 | 10.0 | 80 | 0.2521 | 0.9342 |
82
- | 0.0085 | 11.0 | 88 | 0.3220 | 0.9239 |
83
- | 0.0245 | 12.0 | 96 | 0.3519 | 0.9300 |
84
- | 0.0233 | 13.0 | 104 | 0.2775 | 0.9383 |
85
- | 0.0139 | 14.0 | 112 | 0.3821 | 0.9136 |
86
- | 0.0029 | 15.0 | 120 | 0.3485 | 0.9300 |
87
- | 0.0029 | 16.0 | 128 | 0.3152 | 0.9280 |
88
- | 0.0069 | 17.0 | 136 | 0.3738 | 0.9156 |
89
- | 0.0139 | 18.0 | 144 | 0.3162 | 0.9259 |
90
- | 0.0118 | 19.0 | 152 | 0.3019 | 0.9321 |
91
- | 0.0083 | 20.0 | 160 | 0.3667 | 0.9259 |
92
- | 0.0083 | 21.0 | 168 | 0.3780 | 0.9280 |
93
- | 0.0027 | 22.0 | 176 | 0.3745 | 0.9177 |
94
- | 0.0046 | 23.0 | 184 | 0.3194 | 0.9177 |
95
- | 0.0027 | 24.0 | 192 | 0.3407 | 0.9280 |
96
- | 0.0075 | 25.0 | 200 | 0.2790 | 0.9444 |
97
- | 0.0075 | 26.0 | 208 | 0.3145 | 0.9259 |
98
- | 0.0104 | 27.0 | 216 | 0.3710 | 0.9362 |
99
- | 0.0034 | 28.0 | 224 | 0.3193 | 0.9300 |
100
- | 0.0078 | 29.0 | 232 | 0.2847 | 0.9362 |
101
- | 0.0168 | 30.0 | 240 | 0.3794 | 0.9280 |
102
- | 0.0168 | 31.0 | 248 | 0.3004 | 0.9362 |
103
- | 0.0311 | 32.0 | 256 | 0.3145 | 0.9403 |
104
- | 0.008 | 33.0 | 264 | 0.3280 | 0.9239 |
105
- | 0.0372 | 34.0 | 272 | 0.3942 | 0.9239 |
106
- | 0.0053 | 35.0 | 280 | 0.2987 | 0.9362 |
107
- | 0.0053 | 36.0 | 288 | 0.2894 | 0.9321 |
108
- | 0.0346 | 37.0 | 296 | 0.2983 | 0.9362 |
109
- | 0.0017 | 38.0 | 304 | 0.3405 | 0.9198 |
110
- | 0.0439 | 39.0 | 312 | 0.3143 | 0.9280 |
111
- | 0.0356 | 40.0 | 320 | 0.3170 | 0.9198 |
112
- | 0.0356 | 41.0 | 328 | 0.2854 | 0.9321 |
113
- | 0.0293 | 42.0 | 336 | 0.3164 | 0.9239 |
114
- | 0.0193 | 43.0 | 344 | 0.2730 | 0.9506 |
115
- | 0.0062 | 44.0 | 352 | 0.2789 | 0.9383 |
116
- | 0.012 | 45.0 | 360 | 0.3509 | 0.9156 |
117
- | 0.012 | 46.0 | 368 | 0.3115 | 0.9424 |
118
- | 0.0071 | 47.0 | 376 | 0.2921 | 0.9259 |
119
- | 0.0296 | 48.0 | 384 | 0.3333 | 0.9362 |
120
- | 0.0112 | 49.0 | 392 | 0.2881 | 0.9321 |
121
- | 0.0333 | 50.0 | 400 | 0.3020 | 0.9321 |
122
 
123
 
124
  ### Framework versions
 
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
+ value: 0.9300411343574524
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 [Lalith47/custom-cloud-model](https://huggingface.co/Lalith47/custom-cloud-model) on the imagefolder dataset.
35
  It achieves the following results on the evaluation set:
36
+ - Loss: 0.3349
37
+ - Accuracy: 0.9300
38
 
39
  ## Model description
40
 
 
69
 
70
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
71
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
72
+ | No log | 1.0 | 8 | 0.4142 | 0.9198 |
73
+ | 0.0016 | 2.0 | 16 | 0.3421 | 0.9218 |
74
+ | 0.0043 | 3.0 | 24 | 0.3281 | 0.9095 |
75
+ | 0.0034 | 4.0 | 32 | 0.2599 | 0.9362 |
76
+ | 0.0025 | 5.0 | 40 | 0.3839 | 0.9156 |
77
+ | 0.0025 | 6.0 | 48 | 0.3061 | 0.9321 |
78
+ | 0.0051 | 7.0 | 56 | 0.4106 | 0.9239 |
79
+ | 0.0041 | 8.0 | 64 | 0.4680 | 0.9095 |
80
+ | 0.0073 | 9.0 | 72 | 0.4199 | 0.9074 |
81
+ | 0.0037 | 10.0 | 80 | 0.3102 | 0.9300 |
82
+ | 0.0037 | 11.0 | 88 | 0.4335 | 0.9136 |
83
+ | 0.0147 | 12.0 | 96 | 0.5457 | 0.9033 |
84
+ | 0.0269 | 13.0 | 104 | 0.3233 | 0.9300 |
85
+ | 0.0032 | 14.0 | 112 | 0.4310 | 0.9115 |
86
+ | 0.0022 | 15.0 | 120 | 0.3929 | 0.9012 |
87
+ | 0.0022 | 16.0 | 128 | 0.3390 | 0.9259 |
88
+ | 0.0106 | 17.0 | 136 | 0.3798 | 0.9136 |
89
+ | 0.0229 | 18.0 | 144 | 0.3951 | 0.9115 |
90
+ | 0.0163 | 19.0 | 152 | 0.2882 | 0.9403 |
91
+ | 0.0025 | 20.0 | 160 | 0.2788 | 0.9321 |
92
+ | 0.0025 | 21.0 | 168 | 0.3919 | 0.9136 |
93
+ | 0.0163 | 22.0 | 176 | 0.4097 | 0.9342 |
94
+ | 0.0118 | 23.0 | 184 | 0.3226 | 0.9362 |
95
+ | 0.0028 | 24.0 | 192 | 0.4010 | 0.9198 |
96
+ | 0.0112 | 25.0 | 200 | 0.3082 | 0.9527 |
97
+ | 0.0112 | 26.0 | 208 | 0.3728 | 0.9300 |
98
+ | 0.0211 | 27.0 | 216 | 0.3696 | 0.9362 |
99
+ | 0.0018 | 28.0 | 224 | 0.3142 | 0.9259 |
100
+ | 0.0012 | 29.0 | 232 | 0.3075 | 0.9300 |
101
+ | 0.0061 | 30.0 | 240 | 0.3983 | 0.9300 |
102
+ | 0.0061 | 31.0 | 248 | 0.3352 | 0.9362 |
103
+ | 0.0165 | 32.0 | 256 | 0.3700 | 0.9342 |
104
+ | 0.0025 | 33.0 | 264 | 0.3901 | 0.9177 |
105
+ | 0.0207 | 34.0 | 272 | 0.3874 | 0.9342 |
106
+ | 0.0094 | 35.0 | 280 | 0.3643 | 0.9280 |
107
+ | 0.0094 | 36.0 | 288 | 0.2842 | 0.9321 |
108
+ | 0.0182 | 37.0 | 296 | 0.3285 | 0.9342 |
109
+ | 0.0031 | 38.0 | 304 | 0.3639 | 0.9300 |
110
+ | 0.0246 | 39.0 | 312 | 0.3357 | 0.9342 |
111
+ | 0.0203 | 40.0 | 320 | 0.3219 | 0.9259 |
112
+ | 0.0203 | 41.0 | 328 | 0.3186 | 0.9342 |
113
+ | 0.0154 | 42.0 | 336 | 0.3418 | 0.9300 |
114
+ | 0.0161 | 43.0 | 344 | 0.3163 | 0.9424 |
115
+ | 0.0097 | 44.0 | 352 | 0.3202 | 0.9383 |
116
+ | 0.0126 | 45.0 | 360 | 0.3835 | 0.9321 |
117
+ | 0.0126 | 46.0 | 368 | 0.3396 | 0.9403 |
118
+ | 0.0043 | 47.0 | 376 | 0.3481 | 0.9383 |
119
+ | 0.0369 | 48.0 | 384 | 0.3826 | 0.9321 |
120
+ | 0.0057 | 49.0 | 392 | 0.3538 | 0.9342 |
121
+ | 0.0355 | 50.0 | 400 | 0.3349 | 0.9300 |
122
 
123
 
124
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2a4a2d941be6558f5aa09fadd6c0bf03b0ef4d49c34a6e0c6bdeba2f0971f83d
3
  size 343239356
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c320e7d8f86f3ec119fa8f4faa448f6094f0451e7438ff9f87ab8d3be68ed588
3
  size 343239356