Hugging Face's logo

hkivancoral
/
smids_5x_deit_tiny_sgd_001_fold1

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
hkivancoral commited on
Commit
9873806
•
1 Parent(s): e3674f8

End of training

Browse files
Files changed (2) hide show
  1. README.md +125 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
@@ -0,0 +1,125 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: facebook/deit-tiny-patch16-224
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - imagefolder
8
+ metrics:
9
+ - accuracy
10
+ model-index:
11
+ - name: smids_5x_deit_tiny_sgd_001_fold1
12
+ results:
13
+ - task:
14
+ name: Image Classification
15
+ type: image-classification
16
+ dataset:
17
+ name: imagefolder
18
+ type: imagefolder
19
+ config: default
20
+ split: test
21
+ args: default
22
+ metrics:
23
+ - name: Accuracy
24
+ type: accuracy
25
+ value: 0.8714524207011686
26
+ ---
27
+
28
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
29
+ should probably proofread and complete it, then remove this comment. -->
30
+
31
+ # smids_5x_deit_tiny_sgd_001_fold1
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: 0.3293
36
+ - Accuracy: 0.8715
37
+
38
+ ## Model description
39
+
40
+ More information needed
41
+
42
+ ## Intended uses & limitations
43
+
44
+ More information needed
45
+
46
+ ## Training and evaluation data
47
+
48
+ More information needed
49
+
50
+ ## Training procedure
51
+
52
+ ### Training hyperparameters
53
+
54
+ The following hyperparameters were used during training:
55
+ - learning_rate: 0.001
56
+ - train_batch_size: 32
57
+ - eval_batch_size: 32
58
+ - seed: 42
59
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
60
+ - lr_scheduler_type: linear
61
+ - lr_scheduler_warmup_ratio: 0.1
62
+ - num_epochs: 50
63
+
64
+ ### Training results
65
+
66
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
68
+ | 0.7747 | 1.0 | 376 | 0.8081 | 0.6327 |
69
+ | 0.5327 | 2.0 | 752 | 0.5949 | 0.7462 |
70
+ | 0.4332 | 3.0 | 1128 | 0.5030 | 0.7846 |
71
+ | 0.4359 | 4.0 | 1504 | 0.4457 | 0.8097 |
72
+ | 0.3937 | 5.0 | 1880 | 0.4107 | 0.8164 |
73
+ | 0.3325 | 6.0 | 2256 | 0.3873 | 0.8297 |
74
+ | 0.2877 | 7.0 | 2632 | 0.3645 | 0.8347 |
75
+ | 0.2962 | 8.0 | 3008 | 0.3585 | 0.8397 |
76
+ | 0.3002 | 9.0 | 3384 | 0.3450 | 0.8414 |
77
+ | 0.2749 | 10.0 | 3760 | 0.3357 | 0.8514 |
78
+ | 0.2826 | 11.0 | 4136 | 0.3303 | 0.8614 |
79
+ | 0.2607 | 12.0 | 4512 | 0.3246 | 0.8664 |
80
+ | 0.2479 | 13.0 | 4888 | 0.3195 | 0.8731 |
81
+ | 0.209 | 14.0 | 5264 | 0.3192 | 0.8698 |
82
+ | 0.2492 | 15.0 | 5640 | 0.3190 | 0.8631 |
83
+ | 0.2421 | 16.0 | 6016 | 0.3201 | 0.8664 |
84
+ | 0.2313 | 17.0 | 6392 | 0.3123 | 0.8731 |
85
+ | 0.2635 | 18.0 | 6768 | 0.3189 | 0.8715 |
86
+ | 0.22 | 19.0 | 7144 | 0.3169 | 0.8698 |
87
+ | 0.1933 | 20.0 | 7520 | 0.3154 | 0.8715 |
88
+ | 0.1972 | 21.0 | 7896 | 0.3125 | 0.8748 |
89
+ | 0.2184 | 22.0 | 8272 | 0.3238 | 0.8681 |
90
+ | 0.2395 | 23.0 | 8648 | 0.3208 | 0.8715 |
91
+ | 0.2148 | 24.0 | 9024 | 0.3152 | 0.8681 |
92
+ | 0.2046 | 25.0 | 9400 | 0.3215 | 0.8698 |
93
+ | 0.2137 | 26.0 | 9776 | 0.3154 | 0.8681 |
94
+ | 0.1523 | 27.0 | 10152 | 0.3167 | 0.8731 |
95
+ | 0.1766 | 28.0 | 10528 | 0.3160 | 0.8715 |
96
+ | 0.1896 | 29.0 | 10904 | 0.3190 | 0.8715 |
97
+ | 0.157 | 30.0 | 11280 | 0.3195 | 0.8698 |
98
+ | 0.1522 | 31.0 | 11656 | 0.3183 | 0.8731 |
99
+ | 0.1888 | 32.0 | 12032 | 0.3211 | 0.8715 |
100
+ | 0.1615 | 33.0 | 12408 | 0.3233 | 0.8681 |
101
+ | 0.1503 | 34.0 | 12784 | 0.3209 | 0.8731 |
102
+ | 0.1481 | 35.0 | 13160 | 0.3244 | 0.8698 |
103
+ | 0.1788 | 36.0 | 13536 | 0.3242 | 0.8681 |
104
+ | 0.1497 | 37.0 | 13912 | 0.3239 | 0.8748 |
105
+ | 0.1343 | 38.0 | 14288 | 0.3226 | 0.8748 |
106
+ | 0.1659 | 39.0 | 14664 | 0.3268 | 0.8748 |
107
+ | 0.1781 | 40.0 | 15040 | 0.3250 | 0.8698 |
108
+ | 0.1644 | 41.0 | 15416 | 0.3283 | 0.8731 |
109
+ | 0.1354 | 42.0 | 15792 | 0.3269 | 0.8731 |
110
+ | 0.1533 | 43.0 | 16168 | 0.3272 | 0.8731 |
111
+ | 0.1541 | 44.0 | 16544 | 0.3272 | 0.8748 |
112
+ | 0.2043 | 45.0 | 16920 | 0.3294 | 0.8731 |
113
+ | 0.2146 | 46.0 | 17296 | 0.3299 | 0.8731 |
114
+ | 0.154 | 47.0 | 17672 | 0.3285 | 0.8715 |
115
+ | 0.1593 | 48.0 | 18048 | 0.3296 | 0.8731 |
116
+ | 0.1388 | 49.0 | 18424 | 0.3295 | 0.8731 |
117
+ | 0.1123 | 50.0 | 18800 | 0.3293 | 0.8715 |
118
+
119
+
120
+ ### Framework versions
121
+
122
+ - Transformers 4.32.1
123
+ - Pytorch 2.1.1+cu121
124
+ - Datasets 2.12.0
125
+ - Tokenizers 0.13.2
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5cc48ea3ac1fcadc1160717f0b236faa96384ce282becfd5939404bf55fb563d
3
  size 22167850
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8b71df4d585a5ba2f7fa3b1d7c67c5e662e9043e509c278442d80c03f3d902bf
3
  size 22167850