Hugging Face's logo

ongkn
/
attraction-classifier

Image Classification
Transformers
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
Community
5
ongkn commited on
Commit
ca31324
·
verified ·
1 Parent(s): f9855e3

End of training

Browse files
Files changed (2) hide show
  1. README.md +17 -16
  2. model.safetensors +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.7666666666666667
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.5934
36
- - Accuracy: 0.7667
37
 
38
  ## Model description
39
 
@@ -65,19 +65,20 @@ The following hyperparameters were used during training:
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
- | 0.5519 | 0.59 | 150 | 0.5651 | 0.7089 |
69
- | 0.4879 | 1.19 | 300 | 0.5331 | 0.7422 |
70
- | 0.4676 | 1.78 | 450 | 0.5556 | 0.7467 |
71
- | 0.3789 | 2.37 | 600 | 0.5238 | 0.7711 |
72
- | 0.444 | 2.96 | 750 | 0.5210 | 0.7467 |
73
- | 0.3453 | 3.56 | 900 | 0.5117 | 0.7733 |
74
- | 0.3628 | 4.15 | 1050 | 0.5229 | 0.7489 |
75
- | 0.3295 | 4.74 | 1200 | 0.5030 | 0.7867 |
76
- | 0.344 | 5.34 | 1350 | 0.4997 | 0.7889 |
77
- | 0.2556 | 5.93 | 1500 | 0.5424 | 0.7911 |
78
- | 0.2572 | 6.52 | 1650 | 0.5330 | 0.7911 |
79
- | 0.2251 | 7.11 | 1800 | 0.5405 | 0.7756 |
80
- | 0.2388 | 7.71 | 1950 | 0.5934 | 0.7667 |
 
81
 
82
 
83
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.7977777777777778
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
33
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.5575
36
+ - Accuracy: 0.7978
37
 
38
  ## Model description
39
 
 
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
+ | 0.6334 | 0.59 | 150 | 0.5455 | 0.7311 |
69
+ | 0.499 | 1.19 | 300 | 0.5235 | 0.7356 |
70
+ | 0.5162 | 1.78 | 450 | 0.5364 | 0.7222 |
71
+ | 0.4464 | 2.37 | 600 | 0.5016 | 0.7711 |
72
+ | 0.4574 | 2.96 | 750 | 0.4697 | 0.7733 |
73
+ | 0.3451 | 3.56 | 900 | 0.4832 | 0.7911 |
74
+ | 0.3305 | 4.15 | 1050 | 0.4713 | 0.7933 |
75
+ | 0.345 | 4.74 | 1200 | 0.4679 | 0.8089 |
76
+ | 0.2773 | 5.34 | 1350 | 0.4857 | 0.8 |
77
+ | 0.2596 | 5.93 | 1500 | 0.4896 | 0.7911 |
78
+ | 0.2374 | 6.52 | 1650 | 0.5070 | 0.8133 |
79
+ | 0.2448 | 7.11 | 1800 | 0.5372 | 0.7867 |
80
+ | 0.2128 | 7.71 | 1950 | 0.5421 | 0.7844 |
81
+ | 0.1489 | 8.3 | 2100 | 0.5575 | 0.7978 |
82
 
83
 
84
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f134d867939fe26773bf7b3567aa07c16571e7da3c61ef7f66a73e6857324307
3
  size 343223968
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7fd043add107b3a826e6b43284b047b5c5f9e74e1ec237327089d1ae1ffbb536
3
  size 343223968