Hugging Face's logo

hkivancoral
/
smids_5x_deit_tiny_adamax_00001_fold3

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
hkivancoral commited on
Commit
012c036
•
1 Parent(s): b92f273

End of training

Browse files
Files changed (2) hide show
  1. README.md +55 -55
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
  license: apache-2.0
3
- base_model: facebook/deit-tiny-patch16-224
4
  tags:
5
  - generated_from_trainer
6
  datasets:
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.9016666666666666
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
30
 
31
  # smids_5x_deit_tiny_adamax_00001_fold3
32
 
33
- This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.8603
36
- - Accuracy: 0.9017
37
 
38
  ## Model description
39
 
@@ -65,56 +65,56 @@ The following hyperparameters were used during training:
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
68
- | 0.3577 | 1.0 | 375 | 0.3812 | 0.845 |
69
- | 0.2949 | 2.0 | 750 | 0.2946 | 0.89 |
70
- | 0.1716 | 3.0 | 1125 | 0.2716 | 0.8933 |
71
- | 0.1812 | 4.0 | 1500 | 0.2588 | 0.9117 |
72
- | 0.1483 | 5.0 | 1875 | 0.2753 | 0.8983 |
73
- | 0.1406 | 6.0 | 2250 | 0.2966 | 0.9017 |
74
- | 0.1265 | 7.0 | 2625 | 0.3030 | 0.9 |
75
- | 0.1011 | 8.0 | 3000 | 0.3279 | 0.9017 |
76
- | 0.0557 | 9.0 | 3375 | 0.3594 | 0.9017 |
77
- | 0.0231 | 10.0 | 3750 | 0.3998 | 0.91 |
78
- | 0.0281 | 11.0 | 4125 | 0.4583 | 0.89 |
79
- | 0.0358 | 12.0 | 4500 | 0.4967 | 0.8967 |
80
- | 0.0189 | 13.0 | 4875 | 0.5490 | 0.9017 |
81
- | 0.0022 | 14.0 | 5250 | 0.5821 | 0.8967 |
82
- | 0.0008 | 15.0 | 5625 | 0.6304 | 0.9017 |
83
- | 0.0004 | 16.0 | 6000 | 0.6440 | 0.9017 |
84
- | 0.0002 | 17.0 | 6375 | 0.6611 | 0.9017 |
85
- | 0.0001 | 18.0 | 6750 | 0.6624 | 0.905 |
86
- | 0.0008 | 19.0 | 7125 | 0.7059 | 0.9067 |
87
- | 0.0001 | 20.0 | 7500 | 0.6928 | 0.9067 |
88
- | 0.0001 | 21.0 | 7875 | 0.7172 | 0.905 |
89
- | 0.0 | 22.0 | 8250 | 0.7360 | 0.905 |
90
- | 0.0192 | 23.0 | 8625 | 0.7528 | 0.905 |
91
- | 0.0 | 24.0 | 9000 | 0.7580 | 0.9 |
92
- | 0.0 | 25.0 | 9375 | 0.7737 | 0.9017 |
93
- | 0.0 | 26.0 | 9750 | 0.7755 | 0.9017 |
94
- | 0.0 | 27.0 | 10125 | 0.7892 | 0.9 |
95
- | 0.0 | 28.0 | 10500 | 0.7918 | 0.905 |
96
- | 0.0 | 29.0 | 10875 | 0.8126 | 0.9017 |
97
- | 0.0178 | 30.0 | 11250 | 0.8092 | 0.8967 |
98
- | 0.0 | 31.0 | 11625 | 0.8243 | 0.9033 |
99
- | 0.0 | 32.0 | 12000 | 0.8257 | 0.9017 |
100
- | 0.0 | 33.0 | 12375 | 0.8314 | 0.9017 |
101
- | 0.0 | 34.0 | 12750 | 0.8261 | 0.9033 |
102
- | 0.0 | 35.0 | 13125 | 0.8406 | 0.9033 |
103
- | 0.0 | 36.0 | 13500 | 0.8423 | 0.9033 |
104
- | 0.0 | 37.0 | 13875 | 0.8427 | 0.905 |
105
- | 0.0 | 38.0 | 14250 | 0.8439 | 0.9017 |
106
- | 0.0 | 39.0 | 14625 | 0.8460 | 0.9033 |
107
- | 0.0006 | 40.0 | 15000 | 0.8531 | 0.905 |
108
- | 0.0 | 41.0 | 15375 | 0.8498 | 0.9033 |
109
- | 0.0 | 42.0 | 15750 | 0.8562 | 0.9017 |
110
- | 0.0 | 43.0 | 16125 | 0.8549 | 0.9033 |
111
- | 0.0 | 44.0 | 16500 | 0.8565 | 0.905 |
112
- | 0.0 | 45.0 | 16875 | 0.8586 | 0.905 |
113
- | 0.0 | 46.0 | 17250 | 0.8582 | 0.9017 |
114
- | 0.0 | 47.0 | 17625 | 0.8601 | 0.9017 |
115
- | 0.0 | 48.0 | 18000 | 0.8602 | 0.9017 |
116
- | 0.0 | 49.0 | 18375 | 0.8603 | 0.9017 |
117
- | 0.0 | 50.0 | 18750 | 0.8603 | 0.9017 |
118
 
119
 
120
  ### Framework versions
 
1
  ---
2
  license: apache-2.0
3
+ base_model: facebook/deit-small-patch16-224
4
  tags:
5
  - generated_from_trainer
6
  datasets:
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.8983333333333333
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
30
 
31
  # smids_5x_deit_tiny_adamax_00001_fold3
32
 
33
+ This model is a fine-tuned version of [facebook/deit-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.8422
36
+ - Accuracy: 0.8983
37
 
38
  ## Model description
39
 
 
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
68
+ | 0.2997 | 1.0 | 375 | 0.3235 | 0.88 |
69
+ | 0.2668 | 2.0 | 750 | 0.2793 | 0.8967 |
70
+ | 0.1125 | 3.0 | 1125 | 0.2572 | 0.9117 |
71
+ | 0.1056 | 4.0 | 1500 | 0.2703 | 0.9117 |
72
+ | 0.1075 | 5.0 | 1875 | 0.3070 | 0.8983 |
73
+ | 0.0954 | 6.0 | 2250 | 0.3649 | 0.8917 |
74
+ | 0.0479 | 7.0 | 2625 | 0.3675 | 0.91 |
75
+ | 0.0335 | 8.0 | 3000 | 0.4528 | 0.905 |
76
+ | 0.0032 | 9.0 | 3375 | 0.4970 | 0.9 |
77
+ | 0.0009 | 10.0 | 3750 | 0.5488 | 0.9167 |
78
+ | 0.0002 | 11.0 | 4125 | 0.5799 | 0.8983 |
79
+ | 0.0004 | 12.0 | 4500 | 0.6150 | 0.9067 |
80
+ | 0.0001 | 13.0 | 4875 | 0.6403 | 0.9083 |
81
+ | 0.0001 | 14.0 | 5250 | 0.6886 | 0.9017 |
82
+ | 0.0008 | 15.0 | 5625 | 0.6997 | 0.9083 |
83
+ | 0.0 | 16.0 | 6000 | 0.7289 | 0.9067 |
84
+ | 0.0 | 17.0 | 6375 | 0.7468 | 0.905 |
85
+ | 0.0 | 18.0 | 6750 | 0.7378 | 0.905 |
86
+ | 0.0 | 19.0 | 7125 | 0.7534 | 0.9033 |
87
+ | 0.0 | 20.0 | 7500 | 0.7571 | 0.9083 |
88
+ | 0.0 | 21.0 | 7875 | 0.7624 | 0.9033 |
89
+ | 0.0 | 22.0 | 8250 | 0.7704 | 0.9083 |
90
+ | 0.0049 | 23.0 | 8625 | 0.8162 | 0.9017 |
91
+ | 0.0 | 24.0 | 9000 | 0.7799 | 0.9033 |
92
+ | 0.0 | 25.0 | 9375 | 0.8193 | 0.9033 |
93
+ | 0.0 | 26.0 | 9750 | 0.7928 | 0.9033 |
94
+ | 0.0 | 27.0 | 10125 | 0.7850 | 0.9017 |
95
+ | 0.0 | 28.0 | 10500 | 0.8132 | 0.9 |
96
+ | 0.0 | 29.0 | 10875 | 0.8205 | 0.8983 |
97
+ | 0.0038 | 30.0 | 11250 | 0.8084 | 0.905 |
98
+ | 0.0 | 31.0 | 11625 | 0.8179 | 0.9017 |
99
+ | 0.0 | 32.0 | 12000 | 0.8194 | 0.8983 |
100
+ | 0.0 | 33.0 | 12375 | 0.8163 | 0.9017 |
101
+ | 0.0 | 34.0 | 12750 | 0.8152 | 0.9067 |
102
+ | 0.0 | 35.0 | 13125 | 0.8374 | 0.8983 |
103
+ | 0.0 | 36.0 | 13500 | 0.8315 | 0.8983 |
104
+ | 0.0 | 37.0 | 13875 | 0.8335 | 0.8967 |
105
+ | 0.0 | 38.0 | 14250 | 0.8285 | 0.8983 |
106
+ | 0.0 | 39.0 | 14625 | 0.8274 | 0.9033 |
107
+ | 0.0022 | 40.0 | 15000 | 0.8347 | 0.9017 |
108
+ | 0.0 | 41.0 | 15375 | 0.8356 | 0.9 |
109
+ | 0.0 | 42.0 | 15750 | 0.8391 | 0.9 |
110
+ | 0.0 | 43.0 | 16125 | 0.8395 | 0.8983 |
111
+ | 0.0 | 44.0 | 16500 | 0.8400 | 0.8983 |
112
+ | 0.0 | 45.0 | 16875 | 0.8413 | 0.8983 |
113
+ | 0.0 | 46.0 | 17250 | 0.8418 | 0.8983 |
114
+ | 0.0 | 47.0 | 17625 | 0.8416 | 0.8983 |
115
+ | 0.0 | 48.0 | 18000 | 0.8421 | 0.8983 |
116
+ | 0.0 | 49.0 | 18375 | 0.8423 | 0.8983 |
117
+ | 0.0 | 50.0 | 18750 | 0.8422 | 0.8983 |
118
 
119
 
120
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f0a2f545dbc0dbf41745739ba4cdd0952acd35d3b416e2b9c41bf0d442565918
3
  size 86735658
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f21481e4fe1636ac71ba8f033f0fd6816ee0f84f854185f033721cd4eab07c57
3
  size 86735658