Hugging Face's logo

hkivancoral
/
hushem_1x_deit_tiny_sgd_00001_fold2

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
hkivancoral commited on
Commit
860249d
•
1 Parent(s): 1f86136

End of training

Browse files
Files changed (2) hide show
  1. README.md +125 -0
  2. model.safetensors +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: hushem_1x_deit_tiny_sgd_00001_fold2
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: 0.2222222222222222
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
+ # hushem_1x_deit_tiny_sgd_00001_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: 1.7073
36
+ - Accuracy: 0.2222
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: 1e-05
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
+ | No log | 1.0 | 6 | 1.7237 | 0.2222 |
69
+ | 1.719 | 2.0 | 12 | 1.7228 | 0.2222 |
70
+ | 1.719 | 3.0 | 18 | 1.7220 | 0.2222 |
71
+ | 1.7128 | 4.0 | 24 | 1.7212 | 0.2222 |
72
+ | 1.7405 | 5.0 | 30 | 1.7204 | 0.2222 |
73
+ | 1.7405 | 6.0 | 36 | 1.7197 | 0.2222 |
74
+ | 1.6943 | 7.0 | 42 | 1.7190 | 0.2222 |
75
+ | 1.6943 | 8.0 | 48 | 1.7183 | 0.2222 |
76
+ | 1.6759 | 9.0 | 54 | 1.7176 | 0.2222 |
77
+ | 1.7158 | 10.0 | 60 | 1.7169 | 0.2222 |
78
+ | 1.7158 | 11.0 | 66 | 1.7162 | 0.2222 |
79
+ | 1.7024 | 12.0 | 72 | 1.7156 | 0.2222 |
80
+ | 1.7024 | 13.0 | 78 | 1.7150 | 0.2222 |
81
+ | 1.7744 | 14.0 | 84 | 1.7144 | 0.2222 |
82
+ | 1.7251 | 15.0 | 90 | 1.7139 | 0.2222 |
83
+ | 1.7251 | 16.0 | 96 | 1.7134 | 0.2222 |
84
+ | 1.6942 | 17.0 | 102 | 1.7129 | 0.2222 |
85
+ | 1.6942 | 18.0 | 108 | 1.7124 | 0.2222 |
86
+ | 1.7154 | 19.0 | 114 | 1.7120 | 0.2222 |
87
+ | 1.6829 | 20.0 | 120 | 1.7115 | 0.2222 |
88
+ | 1.6829 | 21.0 | 126 | 1.7111 | 0.2222 |
89
+ | 1.6559 | 22.0 | 132 | 1.7107 | 0.2222 |
90
+ | 1.6559 | 23.0 | 138 | 1.7104 | 0.2222 |
91
+ | 1.7194 | 24.0 | 144 | 1.7100 | 0.2222 |
92
+ | 1.6925 | 25.0 | 150 | 1.7097 | 0.2222 |
93
+ | 1.6925 | 26.0 | 156 | 1.7094 | 0.2222 |
94
+ | 1.6919 | 27.0 | 162 | 1.7091 | 0.2222 |
95
+ | 1.6919 | 28.0 | 168 | 1.7089 | 0.2222 |
96
+ | 1.6948 | 29.0 | 174 | 1.7086 | 0.2222 |
97
+ | 1.7059 | 30.0 | 180 | 1.7084 | 0.2222 |
98
+ | 1.7059 | 31.0 | 186 | 1.7082 | 0.2222 |
99
+ | 1.7337 | 32.0 | 192 | 1.7080 | 0.2222 |
100
+ | 1.7337 | 33.0 | 198 | 1.7079 | 0.2222 |
101
+ | 1.6587 | 34.0 | 204 | 1.7077 | 0.2222 |
102
+ | 1.7172 | 35.0 | 210 | 1.7076 | 0.2222 |
103
+ | 1.7172 | 36.0 | 216 | 1.7075 | 0.2222 |
104
+ | 1.7051 | 37.0 | 222 | 1.7075 | 0.2222 |
105
+ | 1.7051 | 38.0 | 228 | 1.7074 | 0.2222 |
106
+ | 1.6141 | 39.0 | 234 | 1.7074 | 0.2222 |
107
+ | 1.6784 | 40.0 | 240 | 1.7073 | 0.2222 |
108
+ | 1.6784 | 41.0 | 246 | 1.7073 | 0.2222 |
109
+ | 1.6991 | 42.0 | 252 | 1.7073 | 0.2222 |
110
+ | 1.6991 | 43.0 | 258 | 1.7073 | 0.2222 |
111
+ | 1.7247 | 44.0 | 264 | 1.7073 | 0.2222 |
112
+ | 1.6773 | 45.0 | 270 | 1.7073 | 0.2222 |
113
+ | 1.6773 | 46.0 | 276 | 1.7073 | 0.2222 |
114
+ | 1.6939 | 47.0 | 282 | 1.7073 | 0.2222 |
115
+ | 1.6939 | 48.0 | 288 | 1.7073 | 0.2222 |
116
+ | 1.6622 | 49.0 | 294 | 1.7073 | 0.2222 |
117
+ | 1.7192 | 50.0 | 300 | 1.7073 | 0.2222 |
118
+
119
+
120
+ ### Framework versions
121
+
122
+ - Transformers 4.35.0
123
+ - Pytorch 2.1.0+cu118
124
+ - Datasets 2.14.6
125
+ - Tokenizers 0.14.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a9021dfc18e8956ce015b06869330574239fd2b80b1a4cda40046146fa175e55
3
  size 22123464
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:902a41194bda4e32205c89aca8cb567ce9ec5a87b3dceefbde42d0a177eb07d3
3
  size 22123464