Hugging Face's logo

Augusto777
/
vit-base-patch16-224-dmae-va-U

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
Augusto777 commited on
Commit
4d54b02
•
1 Parent(s): 3bba67a

Model save

Browse files
Files changed (3) hide show
  1. README.md +99 -0
  2. model.safetensors +1 -1
  3. runs/Dec13_16-29-59_88adfa788d35/events.out.tfevents.1702485063.88adfa788d35.980.0 +2 -2
README.md ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: google/vit-base-patch16-224
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: vit-base-patch16-224-dmae-va-U
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # vit-base-patch16-224-dmae-va-U
17
+
18
+ This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.0595
21
+ - Accuracy: 0.9725
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 5e-05
41
+ - train_batch_size: 32
42
+ - eval_batch_size: 32
43
+ - seed: 42
44
+ - gradient_accumulation_steps: 4
45
+ - total_train_batch_size: 128
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: linear
48
+ - lr_scheduler_warmup_ratio: 0.1
49
+ - num_epochs: 40
50
+
51
+ ### Training results
52
+
53
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
54
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
55
+ | No log | 0.9 | 7 | 1.4319 | 0.2569 |
56
+ | 1.3911 | 1.94 | 15 | 1.2133 | 0.4771 |
57
+ | 1.3911 | 2.97 | 23 | 0.9487 | 0.6055 |
58
+ | 1.0766 | 4.0 | 31 | 0.6542 | 0.7156 |
59
+ | 0.6974 | 4.9 | 38 | 0.4644 | 0.8716 |
60
+ | 0.6974 | 5.94 | 46 | 0.3919 | 0.8716 |
61
+ | 0.421 | 6.97 | 54 | 0.3094 | 0.8716 |
62
+ | 0.2513 | 8.0 | 62 | 0.2334 | 0.8991 |
63
+ | 0.2513 | 8.9 | 69 | 0.1915 | 0.9174 |
64
+ | 0.1931 | 9.94 | 77 | 0.2431 | 0.8807 |
65
+ | 0.1757 | 10.97 | 85 | 0.1608 | 0.9450 |
66
+ | 0.1757 | 12.0 | 93 | 0.1424 | 0.9266 |
67
+ | 0.1442 | 12.9 | 100 | 0.1280 | 0.9450 |
68
+ | 0.1085 | 13.94 | 108 | 0.1055 | 0.9541 |
69
+ | 0.1085 | 14.97 | 116 | 0.1080 | 0.9541 |
70
+ | 0.1056 | 16.0 | 124 | 0.0997 | 0.9633 |
71
+ | 0.1056 | 16.9 | 131 | 0.1185 | 0.9633 |
72
+ | 0.0926 | 17.94 | 139 | 0.0773 | 0.9633 |
73
+ | 0.103 | 18.97 | 147 | 0.1279 | 0.9633 |
74
+ | 0.103 | 20.0 | 155 | 0.1043 | 0.9633 |
75
+ | 0.0938 | 20.9 | 162 | 0.0824 | 0.9817 |
76
+ | 0.0891 | 21.94 | 170 | 0.1449 | 0.9541 |
77
+ | 0.0891 | 22.97 | 178 | 0.1366 | 0.9633 |
78
+ | 0.0754 | 24.0 | 186 | 0.1148 | 0.9358 |
79
+ | 0.0882 | 24.9 | 193 | 0.1992 | 0.9358 |
80
+ | 0.0882 | 25.94 | 201 | 0.0743 | 0.9817 |
81
+ | 0.078 | 26.97 | 209 | 0.0668 | 0.9725 |
82
+ | 0.0666 | 28.0 | 217 | 0.0534 | 0.9908 |
83
+ | 0.0666 | 28.9 | 224 | 0.0499 | 0.9908 |
84
+ | 0.0514 | 29.94 | 232 | 0.0433 | 0.9725 |
85
+ | 0.062 | 30.97 | 240 | 0.0840 | 0.9633 |
86
+ | 0.062 | 32.0 | 248 | 0.0513 | 0.9725 |
87
+ | 0.0712 | 32.9 | 255 | 0.0482 | 0.9817 |
88
+ | 0.0712 | 33.94 | 263 | 0.0553 | 0.9817 |
89
+ | 0.0703 | 34.97 | 271 | 0.0602 | 0.9725 |
90
+ | 0.0553 | 36.0 | 279 | 0.0595 | 0.9725 |
91
+ | 0.0553 | 36.13 | 280 | 0.0595 | 0.9725 |
92
+
93
+
94
+ ### Framework versions
95
+
96
+ - Transformers 4.35.2
97
+ - Pytorch 2.1.0+cu118
98
+ - Datasets 2.15.0
99
+ - Tokenizers 0.15.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:76e320f3212b2b27416cb3e21f4828dba0d868b5f7a93efa9d75f430124eda16
3
  size 343230128
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d82dfd3497a3816a573667258d6f8f8e509f4a4373420e61ce967007090cf269
3
  size 343230128
runs/Dec13_16-29-59_88adfa788d35/events.out.tfevents.1702485063.88adfa788d35.980.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3864089d6518a2e671f97399a5ea77cb3ef75a108f0653132e29bda0269115cd
3
- size 19462
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b747a082dc696022efce8a377a7a300e3982e7f941196b96b6f55079d5b131f1
3
+ size 20139