Hugging Face's logo

hkivancoral
/
smids_5x_deit_tiny_adamax_001_fold2

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
hkivancoral commited on
Commit
91c62c0
•
1 Parent(s): 12daab0

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: 0.8901830282861897
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_001_fold2
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: 1.1513
36
- - Accuracy: 0.8902
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
- | 0.3758 | 1.0 | 375 | 0.3275 | 0.8619 |
69
- | 0.3244 | 2.0 | 750 | 0.4328 | 0.8403 |
70
- | 0.3305 | 3.0 | 1125 | 0.3559 | 0.8586 |
71
- | 0.2057 | 4.0 | 1500 | 0.3484 | 0.8752 |
72
- | 0.2037 | 5.0 | 1875 | 0.3334 | 0.8918 |
73
- | 0.109 | 6.0 | 2250 | 0.3396 | 0.8869 |
74
- | 0.1296 | 7.0 | 2625 | 0.4274 | 0.8719 |
75
- | 0.1447 | 8.0 | 3000 | 0.4555 | 0.8569 |
76
- | 0.0656 | 9.0 | 3375 | 0.4650 | 0.8869 |
77
- | 0.0303 | 10.0 | 3750 | 0.5987 | 0.8602 |
78
- | 0.0379 | 11.0 | 4125 | 0.5753 | 0.8835 |
79
- | 0.0368 | 12.0 | 4500 | 0.6264 | 0.8669 |
80
- | 0.0495 | 13.0 | 4875 | 0.6979 | 0.8569 |
81
- | 0.0376 | 14.0 | 5250 | 0.7442 | 0.8636 |
82
- | 0.0604 | 15.0 | 5625 | 0.8422 | 0.8636 |
83
- | 0.0353 | 16.0 | 6000 | 0.7521 | 0.8852 |
84
- | 0.0761 | 17.0 | 6375 | 0.7920 | 0.8752 |
85
- | 0.004 | 18.0 | 6750 | 1.0354 | 0.8702 |
86
- | 0.0148 | 19.0 | 7125 | 0.7279 | 0.8785 |
87
- | 0.0237 | 20.0 | 7500 | 0.7424 | 0.8735 |
88
- | 0.0011 | 21.0 | 7875 | 0.7919 | 0.8802 |
89
- | 0.0017 | 22.0 | 8250 | 0.8106 | 0.8918 |
90
- | 0.0086 | 23.0 | 8625 | 0.8451 | 0.8735 |
91
- | 0.0037 | 24.0 | 9000 | 0.8674 | 0.8735 |
92
- | 0.0002 | 25.0 | 9375 | 0.8393 | 0.8869 |
93
- | 0.0036 | 26.0 | 9750 | 0.8897 | 0.8902 |
94
- | 0.0019 | 27.0 | 10125 | 0.8685 | 0.8885 |
95
- | 0.0 | 28.0 | 10500 | 0.8366 | 0.8902 |
96
- | 0.0007 | 29.0 | 10875 | 0.9524 | 0.8985 |
97
- | 0.0002 | 30.0 | 11250 | 0.9036 | 0.8918 |
98
- | 0.0073 | 31.0 | 11625 | 0.9747 | 0.8935 |
99
- | 0.0057 | 32.0 | 12000 | 0.9823 | 0.8885 |
100
- | 0.0116 | 33.0 | 12375 | 0.9806 | 0.8935 |
101
- | 0.0 | 34.0 | 12750 | 1.0179 | 0.8885 |
102
- | 0.0 | 35.0 | 13125 | 1.0978 | 0.8785 |
103
- | 0.0 | 36.0 | 13500 | 0.9957 | 0.8852 |
104
- | 0.0 | 37.0 | 13875 | 1.0261 | 0.8902 |
105
- | 0.0 | 38.0 | 14250 | 1.0512 | 0.8885 |
106
- | 0.0 | 39.0 | 14625 | 1.0513 | 0.8902 |
107
- | 0.0035 | 40.0 | 15000 | 1.0782 | 0.8902 |
108
- | 0.0 | 41.0 | 15375 | 1.0839 | 0.8885 |
109
- | 0.0032 | 42.0 | 15750 | 1.1078 | 0.8885 |
110
- | 0.0027 | 43.0 | 16125 | 1.1099 | 0.8902 |
111
- | 0.0028 | 44.0 | 16500 | 1.1218 | 0.8902 |
112
- | 0.0032 | 45.0 | 16875 | 1.1207 | 0.8885 |
113
- | 0.0 | 46.0 | 17250 | 1.1330 | 0.8885 |
114
- | 0.0059 | 47.0 | 17625 | 1.1405 | 0.8885 |
115
- | 0.0 | 48.0 | 18000 | 1.1472 | 0.8885 |
116
- | 0.0026 | 49.0 | 18375 | 1.1507 | 0.8885 |
117
- | 0.0022 | 50.0 | 18750 | 1.1513 | 0.8902 |
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: 0.8968386023294509
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_001_fold2
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: 0.8883
36
+ - Accuracy: 0.8968
37
 
38
  ## Model description
39
 
 
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
68
+ | 0.3644 | 1.0 | 375 | 0.3398 | 0.8702 |
69
+ | 0.2716 | 2.0 | 750 | 0.3172 | 0.8735 |
70
+ | 0.3497 | 3.0 | 1125 | 0.3400 | 0.8586 |
71
+ | 0.1669 | 4.0 | 1500 | 0.3794 | 0.8669 |
72
+ | 0.2114 | 5.0 | 1875 | 0.2911 | 0.8902 |
73
+ | 0.1067 | 6.0 | 2250 | 0.4133 | 0.8752 |
74
+ | 0.1489 | 7.0 | 2625 | 0.5329 | 0.8419 |
75
+ | 0.1233 | 8.0 | 3000 | 0.4750 | 0.8769 |
76
+ | 0.121 | 9.0 | 3375 | 0.4209 | 0.8852 |
77
+ | 0.0613 | 10.0 | 3750 | 0.3960 | 0.8918 |
78
+ | 0.0185 | 11.0 | 4125 | 0.5647 | 0.8769 |
79
+ | 0.07 | 12.0 | 4500 | 0.5185 | 0.8586 |
80
+ | 0.0467 | 13.0 | 4875 | 0.5032 | 0.8985 |
81
+ | 0.0041 | 14.0 | 5250 | 0.5742 | 0.8918 |
82
+ | 0.0599 | 15.0 | 5625 | 0.7221 | 0.8652 |
83
+ | 0.0363 | 16.0 | 6000 | 0.6853 | 0.8852 |
84
+ | 0.0212 | 17.0 | 6375 | 0.5687 | 0.8985 |
85
+ | 0.0007 | 18.0 | 6750 | 0.6790 | 0.8702 |
86
+ | 0.0025 | 19.0 | 7125 | 0.5146 | 0.8935 |
87
+ | 0.0511 | 20.0 | 7500 | 0.4949 | 0.9052 |
88
+ | 0.0231 | 21.0 | 7875 | 0.5535 | 0.8952 |
89
+ | 0.0 | 22.0 | 8250 | 0.7099 | 0.9002 |
90
+ | 0.011 | 23.0 | 8625 | 0.7090 | 0.8902 |
91
+ | 0.0118 | 24.0 | 9000 | 0.7009 | 0.9068 |
92
+ | 0.0 | 25.0 | 9375 | 0.6598 | 0.8985 |
93
+ | 0.0089 | 26.0 | 9750 | 0.7133 | 0.8902 |
94
+ | 0.0142 | 27.0 | 10125 | 0.5886 | 0.9052 |
95
+ | 0.0 | 28.0 | 10500 | 0.6881 | 0.9018 |
96
+ | 0.0001 | 29.0 | 10875 | 0.7679 | 0.8985 |
97
+ | 0.0001 | 30.0 | 11250 | 0.7339 | 0.8968 |
98
+ | 0.0038 | 31.0 | 11625 | 0.8413 | 0.8918 |
99
+ | 0.0044 | 32.0 | 12000 | 0.7669 | 0.9035 |
100
+ | 0.0049 | 33.0 | 12375 | 0.7980 | 0.9052 |
101
+ | 0.0 | 34.0 | 12750 | 0.7835 | 0.9035 |
102
+ | 0.0 | 35.0 | 13125 | 0.8137 | 0.8968 |
103
+ | 0.0 | 36.0 | 13500 | 0.8434 | 0.8968 |
104
+ | 0.0 | 37.0 | 13875 | 0.8282 | 0.8952 |
105
+ | 0.0 | 38.0 | 14250 | 0.8297 | 0.8968 |
106
+ | 0.0 | 39.0 | 14625 | 0.8386 | 0.8935 |
107
+ | 0.0034 | 40.0 | 15000 | 0.8364 | 0.8952 |
108
+ | 0.0 | 41.0 | 15375 | 0.8624 | 0.8985 |
109
+ | 0.0031 | 42.0 | 15750 | 0.8414 | 0.8968 |
110
+ | 0.0026 | 43.0 | 16125 | 0.9010 | 0.8902 |
111
+ | 0.0026 | 44.0 | 16500 | 0.8826 | 0.8952 |
112
+ | 0.0029 | 45.0 | 16875 | 0.8702 | 0.8968 |
113
+ | 0.0 | 46.0 | 17250 | 0.8727 | 0.8968 |
114
+ | 0.0055 | 47.0 | 17625 | 0.8804 | 0.8968 |
115
+ | 0.0 | 48.0 | 18000 | 0.8849 | 0.8968 |
116
+ | 0.0025 | 49.0 | 18375 | 0.8877 | 0.8968 |
117
+ | 0.0023 | 50.0 | 18750 | 0.8883 | 0.8968 |
118
 
119
 
120
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:68e3d744ace20ea3e039e41cf55541bbb31fdd9138475c34034b33946aeef9e8
3
  size 86735658
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1dbc63ba1b1318e097596d4bf79355e39fc944bf55be001ad411bd9a78ba743d
3
  size 86735658