Hugging Face's logo

hkivancoral
/
hushem_1x_beit_base_adamax_0001_fold5

Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
hkivancoral commited on
Commit
4e957d5
•
1 Parent(s): 3b7a1b6

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: microsoft/beit-base-patch16-224
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - imagefolder
8
+ metrics:
9
+ - accuracy
10
+ model-index:
11
+ - name: hushem_1x_beit_base_adamax_0001_fold5
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: 0.8292682926829268
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_beit_base_adamax_0001_fold5
32
+
33
+ This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
34
+ It achieves the following results on the evaluation set:
35
+ - Loss: 0.8158
36
+ - Accuracy: 0.8293
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: 0.0001
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 | 1.1847 | 0.3902 |
69
+ | 1.4269 | 2.0 | 12 | 0.7266 | 0.7073 |
70
+ | 1.4269 | 3.0 | 18 | 0.6792 | 0.7073 |
71
+ | 0.5553 | 4.0 | 24 | 0.4456 | 0.7805 |
72
+ | 0.1357 | 5.0 | 30 | 0.2904 | 0.9024 |
73
+ | 0.1357 | 6.0 | 36 | 0.6815 | 0.8049 |
74
+ | 0.0115 | 7.0 | 42 | 0.6208 | 0.8049 |
75
+ | 0.0115 | 8.0 | 48 | 0.5124 | 0.8537 |
76
+ | 0.0146 | 9.0 | 54 | 0.7063 | 0.7805 |
77
+ | 0.0021 | 10.0 | 60 | 0.7320 | 0.8049 |
78
+ | 0.0021 | 11.0 | 66 | 0.5435 | 0.8537 |
79
+ | 0.0012 | 12.0 | 72 | 0.6105 | 0.8293 |
80
+ | 0.0012 | 13.0 | 78 | 0.6174 | 0.8537 |
81
+ | 0.0009 | 14.0 | 84 | 0.6224 | 0.8293 |
82
+ | 0.0011 | 15.0 | 90 | 0.5560 | 0.8293 |
83
+ | 0.0011 | 16.0 | 96 | 0.6136 | 0.8293 |
84
+ | 0.0005 | 17.0 | 102 | 0.6179 | 0.8537 |
85
+ | 0.0005 | 18.0 | 108 | 0.6489 | 0.8049 |
86
+ | 0.0019 | 19.0 | 114 | 0.7624 | 0.7561 |
87
+ | 0.0003 | 20.0 | 120 | 0.8499 | 0.7561 |
88
+ | 0.0003 | 21.0 | 126 | 0.8910 | 0.7805 |
89
+ | 0.0005 | 22.0 | 132 | 0.7310 | 0.7805 |
90
+ | 0.0005 | 23.0 | 138 | 0.6709 | 0.8049 |
91
+ | 0.0003 | 24.0 | 144 | 0.6558 | 0.8049 |
92
+ | 0.0004 | 25.0 | 150 | 0.6700 | 0.8049 |
93
+ | 0.0004 | 26.0 | 156 | 0.6879 | 0.8049 |
94
+ | 0.0003 | 27.0 | 162 | 0.7678 | 0.8049 |
95
+ | 0.0003 | 28.0 | 168 | 0.8154 | 0.8049 |
96
+ | 0.0002 | 29.0 | 174 | 0.8459 | 0.8049 |
97
+ | 0.0002 | 30.0 | 180 | 0.8632 | 0.8049 |
98
+ | 0.0002 | 31.0 | 186 | 0.8601 | 0.8049 |
99
+ | 0.001 | 32.0 | 192 | 0.8142 | 0.8049 |
100
+ | 0.001 | 33.0 | 198 | 0.7931 | 0.8049 |
101
+ | 0.0005 | 34.0 | 204 | 0.7822 | 0.8049 |
102
+ | 0.0004 | 35.0 | 210 | 0.7974 | 0.8293 |
103
+ | 0.0004 | 36.0 | 216 | 0.8092 | 0.8293 |
104
+ | 0.0001 | 37.0 | 222 | 0.8155 | 0.8293 |
105
+ | 0.0001 | 38.0 | 228 | 0.8178 | 0.8293 |
106
+ | 0.0001 | 39.0 | 234 | 0.8178 | 0.8293 |
107
+ | 0.0002 | 40.0 | 240 | 0.8165 | 0.8293 |
108
+ | 0.0002 | 41.0 | 246 | 0.8159 | 0.8293 |
109
+ | 0.0004 | 42.0 | 252 | 0.8158 | 0.8293 |
110
+ | 0.0004 | 43.0 | 258 | 0.8158 | 0.8293 |
111
+ | 0.0003 | 44.0 | 264 | 0.8158 | 0.8293 |
112
+ | 0.0001 | 45.0 | 270 | 0.8158 | 0.8293 |
113
+ | 0.0001 | 46.0 | 276 | 0.8158 | 0.8293 |
114
+ | 0.0011 | 47.0 | 282 | 0.8158 | 0.8293 |
115
+ | 0.0011 | 48.0 | 288 | 0.8158 | 0.8293 |
116
+ | 0.0001 | 49.0 | 294 | 0.8158 | 0.8293 |
117
+ | 0.0001 | 50.0 | 300 | 0.8158 | 0.8293 |
118
+
119
+
120
+ ### Framework versions
121
+
122
+ - Transformers 4.35.2
123
+ - Pytorch 2.1.0+cu118
124
+ - Datasets 2.15.0
125
+ - Tokenizers 0.15.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b8da49b20e6c0f68df1886a2c94e98cdd1b48505b9559f2bb8578ac6e01e3340
3
  size 343086480
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3a4fd9eb059cd7a706686ce60c745b2d01f9ffa285476e0a43bf32a2934b91f7
3
  size 343086480