Hugging Face's logo

hkivancoral
/
hushem_40x_deit_small_sgd_0001_fold1

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
hkivancoral commited on
Commit
5439428
•
1 Parent(s): b8af6fc

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-small-patch16-224
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - imagefolder
8
+ metrics:
9
+ - accuracy
10
+ model-index:
11
+ - name: hushem_40x_deit_small_sgd_0001_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: 0.35555555555555557
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_40x_deit_small_sgd_0001_fold1
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: 1.3807
36
+ - Accuracy: 0.3556
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
+ | 1.7636 | 1.0 | 215 | 1.5271 | 0.2222 |
69
+ | 1.5603 | 2.0 | 430 | 1.4695 | 0.2222 |
70
+ | 1.4189 | 3.0 | 645 | 1.4485 | 0.2444 |
71
+ | 1.4216 | 4.0 | 860 | 1.4404 | 0.3333 |
72
+ | 1.3718 | 5.0 | 1075 | 1.4361 | 0.3333 |
73
+ | 1.3271 | 6.0 | 1290 | 1.4331 | 0.3556 |
74
+ | 1.3291 | 7.0 | 1505 | 1.4309 | 0.3556 |
75
+ | 1.2611 | 8.0 | 1720 | 1.4294 | 0.3333 |
76
+ | 1.2392 | 9.0 | 1935 | 1.4281 | 0.3333 |
77
+ | 1.2352 | 10.0 | 2150 | 1.4273 | 0.3778 |
78
+ | 1.2132 | 11.0 | 2365 | 1.4268 | 0.3778 |
79
+ | 1.17 | 12.0 | 2580 | 1.4262 | 0.3778 |
80
+ | 1.1599 | 13.0 | 2795 | 1.4258 | 0.3778 |
81
+ | 1.1465 | 14.0 | 3010 | 1.4259 | 0.3778 |
82
+ | 1.1384 | 15.0 | 3225 | 1.4258 | 0.3556 |
83
+ | 1.1196 | 16.0 | 3440 | 1.4258 | 0.3333 |
84
+ | 1.1235 | 17.0 | 3655 | 1.4254 | 0.3333 |
85
+ | 1.092 | 18.0 | 3870 | 1.4252 | 0.3333 |
86
+ | 1.0493 | 19.0 | 4085 | 1.4248 | 0.3333 |
87
+ | 1.0602 | 20.0 | 4300 | 1.4241 | 0.2889 |
88
+ | 1.0537 | 21.0 | 4515 | 1.4232 | 0.2889 |
89
+ | 1.0424 | 22.0 | 4730 | 1.4223 | 0.2889 |
90
+ | 1.0373 | 23.0 | 4945 | 1.4208 | 0.2889 |
91
+ | 1.0255 | 24.0 | 5160 | 1.4191 | 0.3111 |
92
+ | 0.9946 | 25.0 | 5375 | 1.4173 | 0.3111 |
93
+ | 0.9526 | 26.0 | 5590 | 1.4155 | 0.3111 |
94
+ | 0.961 | 27.0 | 5805 | 1.4133 | 0.3111 |
95
+ | 0.9603 | 28.0 | 6020 | 1.4115 | 0.3111 |
96
+ | 0.9689 | 29.0 | 6235 | 1.4091 | 0.3111 |
97
+ | 0.9155 | 30.0 | 6450 | 1.4068 | 0.3111 |
98
+ | 0.9244 | 31.0 | 6665 | 1.4046 | 0.3111 |
99
+ | 0.9454 | 32.0 | 6880 | 1.4024 | 0.3111 |
100
+ | 0.9669 | 33.0 | 7095 | 1.4003 | 0.3111 |
101
+ | 0.935 | 34.0 | 7310 | 1.3982 | 0.3333 |
102
+ | 0.887 | 35.0 | 7525 | 1.3962 | 0.3333 |
103
+ | 0.9142 | 36.0 | 7740 | 1.3943 | 0.3333 |
104
+ | 0.9282 | 37.0 | 7955 | 1.3924 | 0.3333 |
105
+ | 0.8935 | 38.0 | 8170 | 1.3908 | 0.3333 |
106
+ | 0.9345 | 39.0 | 8385 | 1.3890 | 0.3333 |
107
+ | 0.8406 | 40.0 | 8600 | 1.3876 | 0.3333 |
108
+ | 0.8885 | 41.0 | 8815 | 1.3862 | 0.3333 |
109
+ | 0.9974 | 42.0 | 9030 | 1.3851 | 0.3333 |
110
+ | 0.9464 | 43.0 | 9245 | 1.3840 | 0.3333 |
111
+ | 0.9071 | 44.0 | 9460 | 1.3830 | 0.3333 |
112
+ | 0.9277 | 45.0 | 9675 | 1.3823 | 0.3333 |
113
+ | 0.8844 | 46.0 | 9890 | 1.3817 | 0.3333 |
114
+ | 0.8843 | 47.0 | 10105 | 1.3812 | 0.3333 |
115
+ | 0.9119 | 48.0 | 10320 | 1.3809 | 0.3556 |
116
+ | 0.9448 | 49.0 | 10535 | 1.3808 | 0.3556 |
117
+ | 0.8919 | 50.0 | 10750 | 1.3807 | 0.3556 |
118
+
119
+
120
+ ### Framework versions
121
+
122
+ - Transformers 4.32.1
123
+ - Pytorch 2.1.0+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 sha256:8ae0ab4963ea20185940cbe78dce24b2f9d399fa073545b43708c03c55b924e5
3
  size 86737194
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0aabf6247c564c64d4f2e2998624b873aed4037190384316cd3903fcc893c8e8
3
  size 86737194