Hugging Face's logo

hkivancoral
/
hushem_1x_deit_tiny_rms_lr0001_fold3

Image Classification
Transformers
TensorBoard
Safetensors
vit
generated_from_trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
hkivancoral commited on
Commit
6a06bef
•
1 Parent(s): 4826bda

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_rms_lr0001_fold3
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: 0.46511627906976744
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_rms_lr0001_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: 2.7920
36
+ - Accuracy: 0.4651
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 | 1.3959 | 0.2558 |
69
+ | 2.0191 | 2.0 | 12 | 1.4540 | 0.2791 |
70
+ | 2.0191 | 3.0 | 18 | 1.5040 | 0.3721 |
71
+ | 1.4688 | 4.0 | 24 | 1.3687 | 0.3256 |
72
+ | 1.3397 | 5.0 | 30 | 1.3082 | 0.4186 |
73
+ | 1.3397 | 6.0 | 36 | 1.3917 | 0.3256 |
74
+ | 1.1986 | 7.0 | 42 | 1.4209 | 0.3256 |
75
+ | 1.1986 | 8.0 | 48 | 1.4510 | 0.3721 |
76
+ | 1.0698 | 9.0 | 54 | 1.4225 | 0.3023 |
77
+ | 0.8214 | 10.0 | 60 | 1.5289 | 0.4186 |
78
+ | 0.8214 | 11.0 | 66 | 1.4884 | 0.4419 |
79
+ | 0.5823 | 12.0 | 72 | 2.0101 | 0.3256 |
80
+ | 0.5823 | 13.0 | 78 | 1.6036 | 0.5349 |
81
+ | 0.4001 | 14.0 | 84 | 1.6332 | 0.4186 |
82
+ | 0.2362 | 15.0 | 90 | 2.0095 | 0.4884 |
83
+ | 0.2362 | 16.0 | 96 | 1.8563 | 0.5581 |
84
+ | 0.1078 | 17.0 | 102 | 2.1555 | 0.5116 |
85
+ | 0.1078 | 18.0 | 108 | 2.0019 | 0.5581 |
86
+ | 0.0769 | 19.0 | 114 | 2.3852 | 0.4884 |
87
+ | 0.0351 | 20.0 | 120 | 2.4880 | 0.5349 |
88
+ | 0.0351 | 21.0 | 126 | 2.5950 | 0.4884 |
89
+ | 0.001 | 22.0 | 132 | 2.5992 | 0.4884 |
90
+ | 0.001 | 23.0 | 138 | 2.6117 | 0.4884 |
91
+ | 0.0006 | 24.0 | 144 | 2.6223 | 0.4884 |
92
+ | 0.0005 | 25.0 | 150 | 2.6443 | 0.4884 |
93
+ | 0.0005 | 26.0 | 156 | 2.6672 | 0.4884 |
94
+ | 0.0004 | 27.0 | 162 | 2.6883 | 0.4884 |
95
+ | 0.0004 | 28.0 | 168 | 2.6994 | 0.4884 |
96
+ | 0.0003 | 29.0 | 174 | 2.7093 | 0.4884 |
97
+ | 0.0003 | 30.0 | 180 | 2.7225 | 0.4884 |
98
+ | 0.0003 | 31.0 | 186 | 2.7350 | 0.4884 |
99
+ | 0.0003 | 32.0 | 192 | 2.7468 | 0.4651 |
100
+ | 0.0003 | 33.0 | 198 | 2.7564 | 0.4651 |
101
+ | 0.0003 | 34.0 | 204 | 2.7644 | 0.4651 |
102
+ | 0.0002 | 35.0 | 210 | 2.7717 | 0.4651 |
103
+ | 0.0002 | 36.0 | 216 | 2.7756 | 0.4651 |
104
+ | 0.0002 | 37.0 | 222 | 2.7805 | 0.4651 |
105
+ | 0.0002 | 38.0 | 228 | 2.7848 | 0.4651 |
106
+ | 0.0002 | 39.0 | 234 | 2.7876 | 0.4651 |
107
+ | 0.0002 | 40.0 | 240 | 2.7903 | 0.4651 |
108
+ | 0.0002 | 41.0 | 246 | 2.7917 | 0.4651 |
109
+ | 0.0002 | 42.0 | 252 | 2.7920 | 0.4651 |
110
+ | 0.0002 | 43.0 | 258 | 2.7920 | 0.4651 |
111
+ | 0.0002 | 44.0 | 264 | 2.7920 | 0.4651 |
112
+ | 0.0002 | 45.0 | 270 | 2.7920 | 0.4651 |
113
+ | 0.0002 | 46.0 | 276 | 2.7920 | 0.4651 |
114
+ | 0.0002 | 47.0 | 282 | 2.7920 | 0.4651 |
115
+ | 0.0002 | 48.0 | 288 | 2.7920 | 0.4651 |
116
+ | 0.0002 | 49.0 | 294 | 2.7920 | 0.4651 |
117
+ | 0.0002 | 50.0 | 300 | 2.7920 | 0.4651 |
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 sha256:548fc1146e023649a27d58a429d3781aaa69e6ef9fd37c87bb3c4a4c55fbc612
3
  size 22123464
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6c17b0b87efb8796b5d046426254b50e542b0be59b4cc745741e288b3fe992ec
3
  size 22123464