Hugging Face's logo

mhdiqbalpradipta
/
minang_food_classification

Image Classification
Transformers
TensorBoard
Safetensors
vit
generated_from_trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
mhdiqbalpradipta commited on
Commit
0faf05c
•
1 Parent(s): 25c3305

End of training

Browse files
Files changed (3) hide show
  1. README.md +24 -26
  2. model.safetensors +1 -1
  3. runs/May16_06-23-34_ace45c84f0d7/events.out.tfevents.1715841465.ace45c84f0d7.1140.8 +3 -0
README.md CHANGED
@@ -1,6 +1,4 @@
1
  ---
2
- license: apache-2.0
3
- base_model: google/vit-base-patch16-224
4
  tags:
5
  - generated_from_trainer
6
  datasets:
@@ -22,7 +20,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.7388888888888889
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
30
 
31
  # minang_food_classification
32
 
33
- This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 1.4322
36
- - Accuracy: 0.7389
37
 
38
  ## Model description
39
 
@@ -65,26 +63,26 @@ The following hyperparameters were used during training:
65
 
66
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
67
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
68
- | 2.1765 | 1.0 | 45 | 2.1135 | 0.1944 |
69
- | 2.0794 | 2.0 | 90 | 2.0191 | 0.3056 |
70
- | 2.014 | 3.0 | 135 | 2.0172 | 0.2722 |
71
- | 1.9374 | 4.0 | 180 | 1.8951 | 0.3722 |
72
- | 1.8757 | 5.0 | 225 | 1.7853 | 0.5 |
73
- | 1.7953 | 6.0 | 270 | 1.7469 | 0.4944 |
74
- | 1.7265 | 7.0 | 315 | 1.6992 | 0.5722 |
75
- | 1.6665 | 8.0 | 360 | 1.6337 | 0.6 |
76
- | 1.6208 | 9.0 | 405 | 1.5924 | 0.6611 |
77
- | 1.557 | 10.0 | 450 | 1.5561 | 0.6667 |
78
- | 1.5172 | 11.0 | 495 | 1.4839 | 0.7167 |
79
- | 1.4805 | 12.0 | 540 | 1.4971 | 0.7278 |
80
- | 1.4655 | 13.0 | 585 | 1.4299 | 0.75 |
81
- | 1.4332 | 14.0 | 630 | 1.4313 | 0.7111 |
82
- | 1.4312 | 15.0 | 675 | 1.4258 | 0.7278 |
83
- | 1.3964 | 16.0 | 720 | 1.4136 | 0.7333 |
84
- | 1.3765 | 17.0 | 765 | 1.3875 | 0.8056 |
85
- | 1.3719 | 18.0 | 810 | 1.4031 | 0.7389 |
86
- | 1.3857 | 19.0 | 855 | 1.4242 | 0.7389 |
87
- | 1.3845 | 20.0 | 900 | 1.4025 | 0.75 |
88
 
89
 
90
  ### Framework versions
 
1
  ---
 
 
2
  tags:
3
  - generated_from_trainer
4
  datasets:
 
20
  metrics:
21
  - name: Accuracy
22
  type: accuracy
23
+ value: 0.9277777777777778
24
  ---
25
 
26
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
28
 
29
  # minang_food_classification
30
 
31
+ This model was trained from scratch on the imagefolder dataset.
32
  It achieves the following results on the evaluation set:
33
+ - Loss: 0.7860
34
+ - Accuracy: 0.9278
35
 
36
  ## Model description
37
 
 
63
 
64
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
65
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
66
+ | 1.3423 | 1.0 | 45 | 1.3263 | 0.7889 |
67
+ | 1.2638 | 2.0 | 90 | 1.2436 | 0.8278 |
68
+ | 1.2055 | 3.0 | 135 | 1.2503 | 0.8 |
69
+ | 1.14 | 4.0 | 180 | 1.1486 | 0.85 |
70
+ | 1.0908 | 5.0 | 225 | 1.0427 | 0.8778 |
71
+ | 1.0258 | 6.0 | 270 | 1.0210 | 0.8333 |
72
+ | 0.9776 | 7.0 | 315 | 0.9694 | 0.8722 |
73
+ | 0.9306 | 8.0 | 360 | 0.9379 | 0.8833 |
74
+ | 0.8985 | 9.0 | 405 | 0.9150 | 0.8778 |
75
+ | 0.8624 | 10.0 | 450 | 0.8884 | 0.8611 |
76
+ | 0.8243 | 11.0 | 495 | 0.8118 | 0.9222 |
77
+ | 0.8017 | 12.0 | 540 | 0.8394 | 0.8833 |
78
+ | 0.797 | 13.0 | 585 | 0.7761 | 0.9056 |
79
+ | 0.7765 | 14.0 | 630 | 0.7891 | 0.9111 |
80
+ | 0.7834 | 15.0 | 675 | 0.7945 | 0.8889 |
81
+ | 0.7483 | 16.0 | 720 | 0.7801 | 0.9 |
82
+ | 0.74 | 17.0 | 765 | 0.7524 | 0.9167 |
83
+ | 0.7315 | 18.0 | 810 | 0.7655 | 0.9111 |
84
+ | 0.7468 | 19.0 | 855 | 0.7860 | 0.8833 |
85
+ | 0.7393 | 20.0 | 900 | 0.7900 | 0.9056 |
86
 
87
 
88
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:4d1633fe1196e911da10527821c22b9b33684f00e9d77094551af676382111d9
3
  size 343245508
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6224ab186745aacee76030f884d1f8b0d42b6a854f691c18033d3893eb816e17
3
  size 343245508
runs/May16_06-23-34_ace45c84f0d7/events.out.tfevents.1715841465.ace45c84f0d7.1140.8 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ff6969918d83aa68cd5f8467f5fe40b97bbadd637c1f303721d8fae3bc20e35
3
+ size 411